From 90566ce8c64d5c82e080ef0660981daa3f433cb7 Mon Sep 17 00:00:00 2001
From: bnb32 <bnb32@users.noreply.github.com>
Date: Thu, 14 Nov 2024 16:11:59 +0000
Subject: [PATCH] Merge pull request #243 from NREL/bnb/writer_cleanup

uv invert for netcdf writes
---
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 .nojekyll                                     |    0
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.base.DataRetrievalBase"><code class="docutils literal notranslate"><span class="pre">DataRetrievalBase</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.base.DataRetrievalBase.pre_load"><code class="docutils literal notranslate"><span class="pre">DataRetrievalBase.pre_load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.base.DataRetrievalBase.meta"><code class="docutils literal notranslate"><span class="pre">DataRetrievalBase.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.base.DataRetrievalBase.distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">DataRetrievalBase.distance_upper_bound</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.base.DataRetrievalBase.compare_dists"><code class="docutils literal notranslate"><span class="pre">DataRetrievalBase.compare_dists()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.base.DataRetrievalBase.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">DataRetrievalBase.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.base.DataRetrievalBase.get_bias_gid"><code class="docutils literal notranslate"><span class="pre">DataRetrievalBase.get_bias_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.base.DataRetrievalBase.get_base_gid"><code class="docutils literal notranslate"><span class="pre">DataRetrievalBase.get_base_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.base.DataRetrievalBase.get_data_pair"><code class="docutils literal notranslate"><span class="pre">DataRetrievalBase.get_data_pair()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.base.DataRetrievalBase.get_bias_data"><code class="docutils literal notranslate"><span class="pre">DataRetrievalBase.get_bias_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.base.DataRetrievalBase.get_base_data"><code class="docutils literal notranslate"><span class="pre">DataRetrievalBase.get_base_data()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-bias-base-dataretrievalbase">
+<h1>sup3r.bias.base.DataRetrievalBase<a class="headerlink" href="#sup3r-bias-base-dataretrievalbase" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.bias.base.DataRetrievalBase">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">DataRetrievalBase</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_upper_bound</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Resource'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_handler</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'DataHandlerNCforCC'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decimals</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">match_zero_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_load</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/base.html#DataRetrievalBase"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.base.DataRetrievalBase" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<p>Base class to handle data retrieval for the biased data and the
+baseline data</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_fps</strong> (<em>list | str</em>) – One or more baseline .h5 filepaths representing non-biased data to
+use to correct the biased dataset. This is typically several years
+of WTK or NSRDB files.</p></li>
+<li><p><strong>bias_fps</strong> (<em>list | str</em>) – One or more biased .nc or .h5 filepaths representing the biased
+data to be corrected based on the baseline data. This is typically
+several years of GCM .nc files.</p></li>
+<li><p><strong>base_dset</strong> (<em>str</em>) – A single dataset from the base_fps to retrieve. In the case of wind
+components, this can be u_100m or v_100m which will retrieve
+windspeed and winddirection and derive the U/V component.</p></li>
+<li><p><strong>bias_feature</strong> (<em>str</em>) – This is the biased feature from bias_fps to retrieve. This should
+be a single feature name corresponding to base_dset</p></li>
+<li><p><strong>distance_upper_bound</strong> (<em>float</em>) – Upper bound on the nearest neighbor distance in decimal degrees.
+This should be the approximate resolution of the low-resolution
+bias data. None (default) will calculate this based on the median
+distance between points in bias_fps</p></li>
+<li><p><strong>target</strong> (<em>tuple</em>) – (lat, lon) lower left corner of raster to retrieve from bias_fps.
+If None then the lower left corner of the full domain will be used.</p></li>
+<li><p><strong>shape</strong> (<em>tuple</em>) – (rows, cols) grid size to retrieve from bias_fps. If None then the
+full domain shape will be used.</p></li>
+<li><p><strong>base_handler</strong> (<em>str</em>) – Name of rex resource handler or sup3r.preprocessing class to be
+retrieved from the rex/sup3r library. If a sup3r.preprocessing
+class is used, all data will be loaded in this class’
+initialization and the subsequent bias calculation will be done in
+serial</p></li>
+<li><p><strong>bias_handler</strong> (<em>str</em>) – Name of the bias data handler class to be retrieved from the
+sup3r.preprocessing library.</p></li>
+<li><p><strong>base_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the base_handler
+class</p></li>
+<li><p><strong>bias_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the bias_handler
+class</p></li>
+<li><p><strong>decimals</strong> (<em>int | None</em>) – Option to round bias and base data to this number of decimals, this
+gets passed to np.around(). If decimals is negative, it specifies
+the number of positions to the left of the decimal point.</p></li>
+<li><p><strong>match_zero_rate</strong> (<em>bool</em>) – Option to fix the frequency of zero values in the biased data. The
+lowest percentile of values in the biased data will be set to zero
+to match the percentile of zeros in the base data. If
+SkillAssessment is being run and this is True, the distributions
+will not be mean-centered. This helps resolve the issue where
+global climate models produce too many days with small
+precipitation totals e.g., the “drizzle problem” <a class="reference internal" href="sup3r.bias.bias_calc.SkillAssessment.html#polade2014" id="id1"><span>[Polade2014]</span></a>.</p></li>
+<li><p><strong>pre_load</strong> (<em>bool</em>) – Flag to preload all data needed for bias correction. This is
+currently recommended to improve performance with the new sup3r
+data handler access patterns</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">References</p>
+<div role="list" class="citation-list">
+<div class="citation" id="polade2014" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span><a role="doc-backlink" href="#id1">Polade2014</a><span class="fn-bracket">]</span></span>
+<p>Polade, S. D., Pierce, D. W., Cayan, D. R., Gershunov,
+A., &amp; Dettineer, M. D. (2014). The key role of dry days in changing
+regional climate and precipitation regimes. Scientific reports,
+4(1), 4364. <a class="reference external" href="https://doi.org/10.1038/srep04364">https://doi.org/10.1038/srep04364</a></p>
+</div>
+</div>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.base.DataRetrievalBase.compare_dists" title="sup3r.bias.base.DataRetrievalBase.compare_dists"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compare_dists</span></code></a>(base_data, bias_data[, adder, ...])</p></td>
+<td><p>Compare two distributions using the two-sample Kolmogorov-Smirnov.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.base.DataRetrievalBase.get_base_data" title="sup3r.bias.base.DataRetrievalBase.get_base_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_base_data</span></code></a>(base_fps, base_dset, base_gid, ...)</p></td>
+<td><p>Get data from the baseline data source, possibly for many high-res base gids corresponding to a single coarse low-res bias gid.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.base.DataRetrievalBase.get_base_gid" title="sup3r.bias.base.DataRetrievalBase.get_base_gid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_base_gid</span></code></a>(bias_gid)</p></td>
+<td><p>Get one or more base gid(s) corresponding to a bias gid.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.base.DataRetrievalBase.get_bias_data" title="sup3r.bias.base.DataRetrievalBase.get_bias_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_bias_data</span></code></a>(bias_gid[, bias_dh])</p></td>
+<td><p>Get data from the biased data source for a single gid</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.base.DataRetrievalBase.get_bias_gid" title="sup3r.bias.base.DataRetrievalBase.get_bias_gid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_bias_gid</span></code></a>(coord)</p></td>
+<td><p>Get the bias gid from a coordinate.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.base.DataRetrievalBase.get_data_pair" title="sup3r.bias.base.DataRetrievalBase.get_data_pair"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_data_pair</span></code></a>(coord[, daily_reduction])</p></td>
+<td><p>Get base and bias data observations based on a single bias gid.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.base.DataRetrievalBase.get_node_cmd" title="sup3r.bias.base.DataRetrievalBase.get_node_cmd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_node_cmd</span></code></a>(config)</p></td>
+<td><p>Get a CLI call to call cls.run() on a single node based on an input config.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.base.DataRetrievalBase.pre_load" title="sup3r.bias.base.DataRetrievalBase.pre_load"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pre_load</span></code></a>()</p></td>
+<td><p>Preload all data needed for bias correction.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.base.DataRetrievalBase.distance_upper_bound" title="sup3r.bias.base.DataRetrievalBase.distance_upper_bound"><code class="xref py py-obj docutils literal notranslate"><span class="pre">distance_upper_bound</span></code></a></p></td>
+<td><p>Maximum distance (float) to map high-resolution data from exo_source to the low-resolution file_paths input.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.base.DataRetrievalBase.meta" title="sup3r.bias.base.DataRetrievalBase.meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meta</span></code></a></p></td>
+<td><p>Get a meta data dictionary on how these bias factors were calculated</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.base.DataRetrievalBase.pre_load">
+<span class="sig-name descname"><span class="pre">pre_load</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/base.html#DataRetrievalBase.pre_load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.base.DataRetrievalBase.pre_load" title="Link to this definition">#</a></dt>
+<dd><p>Preload all data needed for bias correction. This is currently
+recommended to improve performance with the new sup3r data handler
+access patterns</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.bias.base.DataRetrievalBase.meta">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">meta</span></span><a class="headerlink" href="#sup3r.bias.base.DataRetrievalBase.meta" title="Link to this definition">#</a></dt>
+<dd><p>Get a meta data dictionary on how these bias factors were
+calculated</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.bias.base.DataRetrievalBase.distance_upper_bound">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">distance_upper_bound</span></span><a class="headerlink" href="#sup3r.bias.base.DataRetrievalBase.distance_upper_bound" title="Link to this definition">#</a></dt>
+<dd><p>Maximum distance (float) to map high-resolution data from exo_source
+to the low-resolution file_paths input.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.base.DataRetrievalBase.compare_dists">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compare_dists</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scalar</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/base.html#DataRetrievalBase.compare_dists"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.base.DataRetrievalBase.compare_dists" title="Link to this definition">#</a></dt>
+<dd><p>Compare two distributions using the two-sample Kolmogorov-Smirnov.
+When the output is minimized, the two distributions are similar.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – 1D array of base data observations.</p></li>
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of biased data observations.</p></li>
+<li><p><strong>adder</strong> (<em>float</em>) – Factor to adjust the biased data before comparing distributions:
+bias_data * scalar + adder</p></li>
+<li><p><strong>scalar</strong> (<em>float</em>) – Factor to adjust the biased data before comparing distributions:
+bias_data * scalar + adder</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>float</em>) – KS test statistic</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.base.DataRetrievalBase.get_node_cmd">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_node_cmd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/base.html#DataRetrievalBase.get_node_cmd"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.base.DataRetrievalBase.get_node_cmd" title="Link to this definition">#</a></dt>
+<dd><p>Get a CLI call to call cls.run() on a single node based on an input
+config.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>config</strong> (<em>dict</em>) – sup3r bias calc config with all necessary args and kwargs to
+initialize the class and call run() on a single node.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.base.DataRetrievalBase.get_bias_gid">
+<span class="sig-name descname"><span class="pre">get_bias_gid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coord</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/base.html#DataRetrievalBase.get_bias_gid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.base.DataRetrievalBase.get_bias_gid" title="Link to this definition">#</a></dt>
+<dd><p>Get the bias gid from a coordinate.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coord</strong> (<em>tuple</em>) – (lat, lon) to get data for.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>bias_gid</strong> (<em>int</em>) – gid of the data to retrieve in the bias data source raster data.
+The gids for this data source are the enumerated indices of the
+flattened coordinate array.</p></li>
+<li><p><strong>d</strong> (<em>float</em>) – Distance in decimal degrees from coord to bias gid</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.base.DataRetrievalBase.get_base_gid">
+<span class="sig-name descname"><span class="pre">get_base_gid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bias_gid</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/base.html#DataRetrievalBase.get_base_gid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.base.DataRetrievalBase.get_base_gid" title="Link to this definition">#</a></dt>
+<dd><p>Get one or more base gid(s) corresponding to a bias gid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>bias_gid</strong> (<em>int</em>) – gid of the data to retrieve in the bias data source raster data.
+The gids for this data source are the enumerated indices of the
+flattened coordinate array.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>dist</strong> (<em>np.ndarray</em>) – Array of nearest neighbor distances with length equal to the number
+of high-resolution baseline gids that map to the low resolution
+bias gid pixel.</p></li>
+<li><p><strong>base_gid</strong> (<em>np.ndarray</em>) – Array of base gids that are the nearest neighbors of bias_gid with
+length equal to the number of high-resolution baseline gids that
+map to the low resolution bias gid pixel.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.base.DataRetrievalBase.get_data_pair">
+<span class="sig-name descname"><span class="pre">get_data_pair</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coord</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daily_reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'avg'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/base.html#DataRetrievalBase.get_data_pair"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.base.DataRetrievalBase.get_data_pair" title="Link to this definition">#</a></dt>
+<dd><p>Get base and bias data observations based on a single bias gid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coord</strong> (<em>tuple</em>) – (lat, lon) to get data for.</p></li>
+<li><p><strong>daily_reduction</strong> (<em>None | str</em>) – Option to do a reduction of the hourly+ source base data to daily
+data. Can be None (no reduction, keep source time frequency), “avg”
+(daily average), “max” (daily max), “min” (daily min),
+“sum” (daily sum/total)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – 1D array of base data spatially averaged across the base_gid input
+and possibly daily-averaged or min/max’d as well.</p></li>
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of temporal data at the requested gid.</p></li>
+<li><p><strong>base_dist</strong> (<em>np.ndarray</em>) – Array of nearest neighbor distances from coord to the base data
+sites with length equal to the number of high-resolution baseline
+gids that map to the low resolution bias gid pixel.</p></li>
+<li><p><strong>bias_dist</strong> (<em>Float</em>) – Nearest neighbor distance from coord to the bias data site</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.base.DataRetrievalBase.get_bias_data">
+<span class="sig-name descname"><span class="pre">get_bias_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bias_gid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_dh</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/base.html#DataRetrievalBase.get_bias_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.base.DataRetrievalBase.get_bias_data" title="Link to this definition">#</a></dt>
+<dd><p>Get data from the biased data source for a single gid</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>bias_gid</strong> (<em>int</em>) – gid of the data to retrieve in the bias data source raster data.
+The gids for this data source are the enumerated indices of the
+flattened coordinate array.</p></li>
+<li><p><strong>bias_dh</strong> (<em>DataHandler, default=self.bias_dh</em>) – Any <code class="docutils literal notranslate"><span class="pre">DataHandler</span></code> from <a class="reference internal" href="sup3r.preprocessing.html#module-sup3r.preprocessing" title="sup3r.preprocessing"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sup3r.preprocessing</span></code></a>. This optional
+argument allows an alternative handler other than the usual
+<code class="xref py py-attr docutils literal notranslate"><span class="pre">bias_dh</span></code>. For instance, the derived
+<code class="xref py py-class docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection</span></code> uses it to access the
+reference biased dataset as well as the target biased dataset.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of temporal data at the requested gid.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.base.DataRetrievalBase.get_base_data">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_base_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_gid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daily_reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'avg'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decimals</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dh_inst</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/base.html#DataRetrievalBase.get_base_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.base.DataRetrievalBase.get_base_data" title="Link to this definition">#</a></dt>
+<dd><p>Get data from the baseline data source, possibly for many high-res
+base gids corresponding to a single coarse low-res bias gid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_fps</strong> (<em>list | str</em>) – One or more baseline .h5 filepaths representing non-biased data to
+use to correct the biased dataset. This is typically several years
+of WTK or NSRDB files.</p></li>
+<li><p><strong>base_dset</strong> (<em>str</em>) – A single dataset from the base_fps to retrieve.</p></li>
+<li><p><strong>base_gid</strong> (<em>int | np.ndarray</em>) – One or more spatial gids to retrieve from base_fps. The data will
+be spatially averaged across all of these sites.</p></li>
+<li><p><strong>base_handler</strong> (<em>rex.Resource</em>) – A rex data handler similar to rex.Resource or sup3r.DataHandler
+classes (if using the latter, must also input base_dh_inst)</p></li>
+<li><p><strong>base_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the base_handler
+class</p></li>
+<li><p><strong>daily_reduction</strong> (<em>None | str</em>) – Option to do a reduction of the hourly+ source base data to daily
+data. Can be None (no reduction, keep source time frequency), “avg”
+(daily average), “max” (daily max), “min” (daily min),
+“sum” (daily sum/total)</p></li>
+<li><p><strong>decimals</strong> (<em>int | None</em>) – Option to round bias and base data to this number of
+decimals, this gets passed to np.around(). If decimals
+is negative, it specifies the number of positions to
+the left of the decimal point.</p></li>
+<li><p><strong>base_dh_inst</strong> (<em>sup3r.DataHandler</em>) – Instantiated  DataHandler class that has already loaded the base
+data (required if base files are .nc and are not being opened by a
+rex Resource handler).</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>out_data</strong> (<em>np.ndarray</em>) – 1D array of base data spatially averaged across the base_gid input
+and possibly daily-averaged or min/max’d as well.</p></li>
+<li><p><strong>out_ti</strong> (<em>pd.DatetimeIndex</em>) – DatetimeIndex object of datetimes corresponding to the
+output data.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.base.DataRetrievalBase"><code class="docutils literal notranslate"><span class="pre">DataRetrievalBase</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.base.DataRetrievalBase.pre_load"><code class="docutils literal notranslate"><span class="pre">DataRetrievalBase.pre_load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.base.DataRetrievalBase.meta"><code class="docutils literal notranslate"><span class="pre">DataRetrievalBase.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.base.DataRetrievalBase.distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">DataRetrievalBase.distance_upper_bound</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.base.DataRetrievalBase.compare_dists"><code class="docutils literal notranslate"><span class="pre">DataRetrievalBase.compare_dists()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.base.DataRetrievalBase.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">DataRetrievalBase.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.base.DataRetrievalBase.get_bias_gid"><code class="docutils literal notranslate"><span class="pre">DataRetrievalBase.get_bias_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.base.DataRetrievalBase.get_base_gid"><code class="docutils literal notranslate"><span class="pre">DataRetrievalBase.get_base_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.base.DataRetrievalBase.get_data_pair"><code class="docutils literal notranslate"><span class="pre">DataRetrievalBase.get_data_pair()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.base.DataRetrievalBase.get_bias_data"><code class="docutils literal notranslate"><span class="pre">DataRetrievalBase.get_bias_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.base.DataRetrievalBase.get_base_data"><code class="docutils literal notranslate"><span class="pre">DataRetrievalBase.get_base_data()</span></code></a></li>
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+<span id="sup3r-bias-base"></span><h1>sup3r.bias.base<a class="headerlink" href="#module-sup3r.bias.base" title="Link to this heading">#</a></h1>
+<p>Data retrieval class for performing / evaluating bias correction.</p>
+<p>TODO: This can likely leverage the new data handling objects. Refactor
+accordingly.</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
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+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.bias.base.DataRetrievalBase.html#sup3r.bias.base.DataRetrievalBase" title="sup3r.bias.base.DataRetrievalBase"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataRetrievalBase</span></code></a>(base_fps, bias_fps, ...[, ...])</p></td>
+<td><p>Base class to handle data retrieval for the biased data and the baseline data</p></td>
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+    <h1>sup3r.bias.bias_calc.LinearCorrection</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection"><code class="docutils literal notranslate"><span class="pre">LinearCorrection</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.NT"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.NT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.get_linear_correction"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.get_linear_correction()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.write_outputs"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.write_outputs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.run"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.run()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.compare_dists"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.compare_dists()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.distance_upper_bound</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.fill_and_smooth"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.fill_and_smooth()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.get_base_data"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.get_base_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.get_base_gid"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.get_base_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.get_bias_data"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.get_bias_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.get_bias_gid"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.get_bias_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.get_data_pair"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.get_data_pair()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.meta"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.pre_load"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.pre_load()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-bias-bias-calc-linearcorrection">
+<h1>sup3r.bias.bias_calc.LinearCorrection<a class="headerlink" href="#sup3r-bias-bias-calc-linearcorrection" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.LinearCorrection">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">LinearCorrection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_upper_bound</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Resource'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_handler</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'DataHandlerNCforCC'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decimals</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">match_zero_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_load</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc.html#LinearCorrection"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc.LinearCorrection" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.bias.mixins.FillAndSmoothMixin.html#sup3r.bias.mixins.FillAndSmoothMixin" title="sup3r.bias.mixins.FillAndSmoothMixin"><code class="xref py py-class docutils literal notranslate"><span class="pre">FillAndSmoothMixin</span></code></a>, <a class="reference internal" href="sup3r.bias.base.DataRetrievalBase.html#sup3r.bias.base.DataRetrievalBase" title="sup3r.bias.base.DataRetrievalBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataRetrievalBase</span></code></a></p>
+<p>Calculate linear correction <a href="#id1"><span class="problematic" id="id2">*</span></a>scalar +adder factors to bias correct data</p>
+<p>This calculation operates on single bias sites for the full time series of
+available data (no season bias correction)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_fps</strong> (<em>list | str</em>) – One or more baseline .h5 filepaths representing non-biased data to
+use to correct the biased dataset. This is typically several years
+of WTK or NSRDB files.</p></li>
+<li><p><strong>bias_fps</strong> (<em>list | str</em>) – One or more biased .nc or .h5 filepaths representing the biased
+data to be corrected based on the baseline data. This is typically
+several years of GCM .nc files.</p></li>
+<li><p><strong>base_dset</strong> (<em>str</em>) – A single dataset from the base_fps to retrieve. In the case of wind
+components, this can be u_100m or v_100m which will retrieve
+windspeed and winddirection and derive the U/V component.</p></li>
+<li><p><strong>bias_feature</strong> (<em>str</em>) – This is the biased feature from bias_fps to retrieve. This should
+be a single feature name corresponding to base_dset</p></li>
+<li><p><strong>distance_upper_bound</strong> (<em>float</em>) – Upper bound on the nearest neighbor distance in decimal degrees.
+This should be the approximate resolution of the low-resolution
+bias data. None (default) will calculate this based on the median
+distance between points in bias_fps</p></li>
+<li><p><strong>target</strong> (<em>tuple</em>) – (lat, lon) lower left corner of raster to retrieve from bias_fps.
+If None then the lower left corner of the full domain will be used.</p></li>
+<li><p><strong>shape</strong> (<em>tuple</em>) – (rows, cols) grid size to retrieve from bias_fps. If None then the
+full domain shape will be used.</p></li>
+<li><p><strong>base_handler</strong> (<em>str</em>) – Name of rex resource handler or sup3r.preprocessing class to be
+retrieved from the rex/sup3r library. If a sup3r.preprocessing
+class is used, all data will be loaded in this class’
+initialization and the subsequent bias calculation will be done in
+serial</p></li>
+<li><p><strong>bias_handler</strong> (<em>str</em>) – Name of the bias data handler class to be retrieved from the
+sup3r.preprocessing library.</p></li>
+<li><p><strong>base_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the base_handler
+class</p></li>
+<li><p><strong>bias_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the bias_handler
+class</p></li>
+<li><p><strong>decimals</strong> (<em>int | None</em>) – Option to round bias and base data to this number of decimals, this
+gets passed to np.around(). If decimals is negative, it specifies
+the number of positions to the left of the decimal point.</p></li>
+<li><p><strong>match_zero_rate</strong> (<em>bool</em>) – Option to fix the frequency of zero values in the biased data. The
+lowest percentile of values in the biased data will be set to zero
+to match the percentile of zeros in the base data. If
+SkillAssessment is being run and this is True, the distributions
+will not be mean-centered. This helps resolve the issue where
+global climate models produce too many days with small
+precipitation totals e.g., the “drizzle problem” <a class="reference internal" href="sup3r.bias.bias_calc.SkillAssessment.html#polade2014" id="id3"><span>[Polade2014]</span></a>.</p></li>
+<li><p><strong>pre_load</strong> (<em>bool</em>) – Flag to preload all data needed for bias correction. This is
+currently recommended to improve performance with the new sup3r
+data handler access patterns</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">References</p>
+<div role="list" class="citation-list">
+<div class="citation" id="polade2014" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span><a role="doc-backlink" href="#id3">Polade2014</a><span class="fn-bracket">]</span></span>
+<p>Polade, S. D., Pierce, D. W., Cayan, D. R., Gershunov,
+A., &amp; Dettineer, M. D. (2014). The key role of dry days in changing
+regional climate and precipitation regimes. Scientific reports,
+4(1), 4364. <a class="reference external" href="https://doi.org/10.1038/srep04364">https://doi.org/10.1038/srep04364</a></p>
+</div>
+</div>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.LinearCorrection.compare_dists" title="sup3r.bias.bias_calc.LinearCorrection.compare_dists"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compare_dists</span></code></a>(base_data, bias_data[, adder, ...])</p></td>
+<td><p>Compare two distributions using the two-sample Kolmogorov-Smirnov.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.LinearCorrection.fill_and_smooth" title="sup3r.bias.bias_calc.LinearCorrection.fill_and_smooth"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fill_and_smooth</span></code></a>(out[, fill_extend, ...])</p></td>
+<td><p>For a given set of parameters, fill and extend missing positions</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.LinearCorrection.get_base_data" title="sup3r.bias.bias_calc.LinearCorrection.get_base_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_base_data</span></code></a>(base_fps, base_dset, base_gid, ...)</p></td>
+<td><p>Get data from the baseline data source, possibly for many high-res base gids corresponding to a single coarse low-res bias gid.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.LinearCorrection.get_base_gid" title="sup3r.bias.bias_calc.LinearCorrection.get_base_gid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_base_gid</span></code></a>(bias_gid)</p></td>
+<td><p>Get one or more base gid(s) corresponding to a bias gid.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.LinearCorrection.get_bias_data" title="sup3r.bias.bias_calc.LinearCorrection.get_bias_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_bias_data</span></code></a>(bias_gid[, bias_dh])</p></td>
+<td><p>Get data from the biased data source for a single gid</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.LinearCorrection.get_bias_gid" title="sup3r.bias.bias_calc.LinearCorrection.get_bias_gid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_bias_gid</span></code></a>(coord)</p></td>
+<td><p>Get the bias gid from a coordinate.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.LinearCorrection.get_data_pair" title="sup3r.bias.bias_calc.LinearCorrection.get_data_pair"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_data_pair</span></code></a>(coord[, daily_reduction])</p></td>
+<td><p>Get base and bias data observations based on a single bias gid.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.LinearCorrection.get_linear_correction" title="sup3r.bias.bias_calc.LinearCorrection.get_linear_correction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_linear_correction</span></code></a>(bias_data, base_data, ...)</p></td>
+<td><p>Get the linear correction factors based on 1D bias and base datasets</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.LinearCorrection.get_node_cmd" title="sup3r.bias.bias_calc.LinearCorrection.get_node_cmd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_node_cmd</span></code></a>(config)</p></td>
+<td><p>Get a CLI call to call cls.run() on a single node based on an input config.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.LinearCorrection.pre_load" title="sup3r.bias.bias_calc.LinearCorrection.pre_load"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pre_load</span></code></a>()</p></td>
+<td><p>Preload all data needed for bias correction.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.LinearCorrection.run" title="sup3r.bias.bias_calc.LinearCorrection.run"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run</span></code></a>([fp_out, max_workers, daily_reduction, ...])</p></td>
+<td><p>Run linear correction factor calculations for every site in the bias dataset</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.LinearCorrection.write_outputs" title="sup3r.bias.bias_calc.LinearCorrection.write_outputs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_outputs</span></code></a>(fp_out, out)</p></td>
+<td><p>Write outputs to an .h5 file.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.LinearCorrection.NT" title="sup3r.bias.bias_calc.LinearCorrection.NT"><code class="xref py py-obj docutils literal notranslate"><span class="pre">NT</span></code></a></p></td>
+<td><p>size of the time dimension, 1 is no time-based bias correction</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.LinearCorrection.distance_upper_bound" title="sup3r.bias.bias_calc.LinearCorrection.distance_upper_bound"><code class="xref py py-obj docutils literal notranslate"><span class="pre">distance_upper_bound</span></code></a></p></td>
+<td><p>Maximum distance (float) to map high-resolution data from exo_source to the low-resolution file_paths input.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.LinearCorrection.meta" title="sup3r.bias.bias_calc.LinearCorrection.meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meta</span></code></a></p></td>
+<td><p>Get a meta data dictionary on how these bias factors were calculated</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.LinearCorrection.NT">
+<span class="sig-name descname"><span class="pre">NT</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">1</span></em><a class="headerlink" href="#sup3r.bias.bias_calc.LinearCorrection.NT" title="Link to this definition">#</a></dt>
+<dd><p>size of the time dimension, 1 is no time-based bias correction</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.LinearCorrection.get_linear_correction">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_linear_correction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bias_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc.html#LinearCorrection.get_linear_correction"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc.LinearCorrection.get_linear_correction" title="Link to this definition">#</a></dt>
+<dd><p>Get the linear correction factors based on 1D bias and base datasets</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of biased data observations.</p></li>
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – 1D array of base data observations.</p></li>
+<li><p><strong>bias_feature</strong> (<em>str</em>) – This is the biased feature from bias_fps to retrieve. This should
+be a single feature name corresponding to base_dset</p></li>
+<li><p><strong>base_dset</strong> (<em>str</em>) – A single dataset from the base_fps to retrieve. In the case of wind
+components, this can be u_100m or v_100m which will retrieve
+windspeed and winddirection and derive the U/V component.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.LinearCorrection.write_outputs">
+<span class="sig-name descname"><span class="pre">write_outputs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fp_out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc.html#LinearCorrection.write_outputs"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc.LinearCorrection.write_outputs" title="Link to this definition">#</a></dt>
+<dd><p>Write outputs to an .h5 file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>fp_out</strong> (<em>str | None</em>) – Optional .h5 output file to write scalar and adder arrays.</p></li>
+<li><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.LinearCorrection.run">
+<span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fp_out</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daily_reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'avg'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fill_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_interior</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc.html#LinearCorrection.run"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc.LinearCorrection.run" title="Link to this definition">#</a></dt>
+<dd><p>Run linear correction factor calculations for every site in the bias
+dataset</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>fp_out</strong> (<em>str | None</em>) – Optional .h5 output file to write scalar and adder arrays.</p></li>
+<li><p><strong>max_workers</strong> (<em>int</em>) – Number of workers to run in parallel. 1 is serial and None is all
+available.</p></li>
+<li><p><strong>daily_reduction</strong> (<em>None | str</em>) – Option to do a reduction of the hourly+ source base data to daily
+data. Can be None (no reduction, keep source time frequency), “avg”
+(daily average), “max” (daily max), “min” (daily min),
+“sum” (daily sum/total)</p></li>
+<li><p><strong>fill_extend</strong> (<em>bool</em>) – Flag to fill data past distance_upper_bound using spatial nearest
+neighbor. If False, the extended domain will be left as NaN.</p></li>
+<li><p><strong>smooth_extend</strong> (<em>float</em>) – Option to smooth the scalar/adder data outside of the spatial
+domain set by the distance_upper_bound input. This alleviates the
+weird seams far from the domain of interest. This value is the
+standard deviation for the gaussian_filter kernel</p></li>
+<li><p><strong>smooth_interior</strong> (<em>float</em>) – Option to smooth the scalar/adder data within the valid spatial
+domain.  This can reduce the affect of extreme values within
+aggregations over large number of pixels.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.LinearCorrection.compare_dists">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compare_dists</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scalar</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.LinearCorrection.compare_dists" title="Link to this definition">#</a></dt>
+<dd><p>Compare two distributions using the two-sample Kolmogorov-Smirnov.
+When the output is minimized, the two distributions are similar.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – 1D array of base data observations.</p></li>
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of biased data observations.</p></li>
+<li><p><strong>adder</strong> (<em>float</em>) – Factor to adjust the biased data before comparing distributions:
+bias_data * scalar + adder</p></li>
+<li><p><strong>scalar</strong> (<em>float</em>) – Factor to adjust the biased data before comparing distributions:
+bias_data * scalar + adder</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>float</em>) – KS test statistic</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.LinearCorrection.distance_upper_bound">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">distance_upper_bound</span></span><a class="headerlink" href="#sup3r.bias.bias_calc.LinearCorrection.distance_upper_bound" title="Link to this definition">#</a></dt>
+<dd><p>Maximum distance (float) to map high-resolution data from exo_source
+to the low-resolution file_paths input.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.LinearCorrection.fill_and_smooth">
+<span class="sig-name descname"><span class="pre">fill_and_smooth</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fill_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_interior</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.LinearCorrection.fill_and_smooth" title="Link to this definition">#</a></dt>
+<dd><p>For a given set of parameters, fill and extend missing positions</p>
+<p>Fill data extending beyond the base meta data extent by doing a
+nearest neighbor gap fill. Smooth interior and extended region with
+given smoothing values.
+Interior smoothing can reduce the affect of extreme values
+within aggregations over large number of pixels.
+The interior is assumed to be defined by the region without nan values.
+The extended region is assumed to be the region with nan values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p></li>
+<li><p><strong>fill_extend</strong> (<em>bool</em>) – Whether to fill data extending beyond the base meta data with
+nearest neighbor values.</p></li>
+<li><p><strong>smooth_extend</strong> (<em>float</em>) – Option to smooth the scalar/adder data outside of the spatial
+domain set by the threshold input. This alleviates the weird seams
+far from the domain of interest. This value is the standard
+deviation for the gaussian_filter kernel</p></li>
+<li><p><strong>smooth_interior</strong> (<em>float</em>) – Value to use to smooth the scalar/adder data inside of the spatial
+domain set by the threshold input. This can reduce the effect of
+extreme values within aggregations over large number of pixels.
+This value is the standard deviation for the gaussian_filter
+kernel.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.LinearCorrection.get_base_data">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_base_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_gid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daily_reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'avg'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decimals</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dh_inst</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.LinearCorrection.get_base_data" title="Link to this definition">#</a></dt>
+<dd><p>Get data from the baseline data source, possibly for many high-res
+base gids corresponding to a single coarse low-res bias gid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_fps</strong> (<em>list | str</em>) – One or more baseline .h5 filepaths representing non-biased data to
+use to correct the biased dataset. This is typically several years
+of WTK or NSRDB files.</p></li>
+<li><p><strong>base_dset</strong> (<em>str</em>) – A single dataset from the base_fps to retrieve.</p></li>
+<li><p><strong>base_gid</strong> (<em>int | np.ndarray</em>) – One or more spatial gids to retrieve from base_fps. The data will
+be spatially averaged across all of these sites.</p></li>
+<li><p><strong>base_handler</strong> (<em>rex.Resource</em>) – A rex data handler similar to rex.Resource or sup3r.DataHandler
+classes (if using the latter, must also input base_dh_inst)</p></li>
+<li><p><strong>base_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the base_handler
+class</p></li>
+<li><p><strong>daily_reduction</strong> (<em>None | str</em>) – Option to do a reduction of the hourly+ source base data to daily
+data. Can be None (no reduction, keep source time frequency), “avg”
+(daily average), “max” (daily max), “min” (daily min),
+“sum” (daily sum/total)</p></li>
+<li><p><strong>decimals</strong> (<em>int | None</em>) – Option to round bias and base data to this number of
+decimals, this gets passed to np.around(). If decimals
+is negative, it specifies the number of positions to
+the left of the decimal point.</p></li>
+<li><p><strong>base_dh_inst</strong> (<em>sup3r.DataHandler</em>) – Instantiated  DataHandler class that has already loaded the base
+data (required if base files are .nc and are not being opened by a
+rex Resource handler).</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>out_data</strong> (<em>np.ndarray</em>) – 1D array of base data spatially averaged across the base_gid input
+and possibly daily-averaged or min/max’d as well.</p></li>
+<li><p><strong>out_ti</strong> (<em>pd.DatetimeIndex</em>) – DatetimeIndex object of datetimes corresponding to the
+output data.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.LinearCorrection.get_base_gid">
+<span class="sig-name descname"><span class="pre">get_base_gid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bias_gid</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.LinearCorrection.get_base_gid" title="Link to this definition">#</a></dt>
+<dd><p>Get one or more base gid(s) corresponding to a bias gid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>bias_gid</strong> (<em>int</em>) – gid of the data to retrieve in the bias data source raster data.
+The gids for this data source are the enumerated indices of the
+flattened coordinate array.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>dist</strong> (<em>np.ndarray</em>) – Array of nearest neighbor distances with length equal to the number
+of high-resolution baseline gids that map to the low resolution
+bias gid pixel.</p></li>
+<li><p><strong>base_gid</strong> (<em>np.ndarray</em>) – Array of base gids that are the nearest neighbors of bias_gid with
+length equal to the number of high-resolution baseline gids that
+map to the low resolution bias gid pixel.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.LinearCorrection.get_bias_data">
+<span class="sig-name descname"><span class="pre">get_bias_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bias_gid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_dh</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.LinearCorrection.get_bias_data" title="Link to this definition">#</a></dt>
+<dd><p>Get data from the biased data source for a single gid</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>bias_gid</strong> (<em>int</em>) – gid of the data to retrieve in the bias data source raster data.
+The gids for this data source are the enumerated indices of the
+flattened coordinate array.</p></li>
+<li><p><strong>bias_dh</strong> (<em>DataHandler, default=self.bias_dh</em>) – Any <code class="docutils literal notranslate"><span class="pre">DataHandler</span></code> from <a class="reference internal" href="sup3r.preprocessing.html#module-sup3r.preprocessing" title="sup3r.preprocessing"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sup3r.preprocessing</span></code></a>. This optional
+argument allows an alternative handler other than the usual
+<code class="xref py py-attr docutils literal notranslate"><span class="pre">bias_dh</span></code>. For instance, the derived
+<code class="xref py py-class docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection</span></code> uses it to access the
+reference biased dataset as well as the target biased dataset.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of temporal data at the requested gid.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.LinearCorrection.get_bias_gid">
+<span class="sig-name descname"><span class="pre">get_bias_gid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coord</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.LinearCorrection.get_bias_gid" title="Link to this definition">#</a></dt>
+<dd><p>Get the bias gid from a coordinate.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coord</strong> (<em>tuple</em>) – (lat, lon) to get data for.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>bias_gid</strong> (<em>int</em>) – gid of the data to retrieve in the bias data source raster data.
+The gids for this data source are the enumerated indices of the
+flattened coordinate array.</p></li>
+<li><p><strong>d</strong> (<em>float</em>) – Distance in decimal degrees from coord to bias gid</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.LinearCorrection.get_data_pair">
+<span class="sig-name descname"><span class="pre">get_data_pair</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coord</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daily_reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'avg'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.LinearCorrection.get_data_pair" title="Link to this definition">#</a></dt>
+<dd><p>Get base and bias data observations based on a single bias gid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coord</strong> (<em>tuple</em>) – (lat, lon) to get data for.</p></li>
+<li><p><strong>daily_reduction</strong> (<em>None | str</em>) – Option to do a reduction of the hourly+ source base data to daily
+data. Can be None (no reduction, keep source time frequency), “avg”
+(daily average), “max” (daily max), “min” (daily min),
+“sum” (daily sum/total)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – 1D array of base data spatially averaged across the base_gid input
+and possibly daily-averaged or min/max’d as well.</p></li>
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of temporal data at the requested gid.</p></li>
+<li><p><strong>base_dist</strong> (<em>np.ndarray</em>) – Array of nearest neighbor distances from coord to the base data
+sites with length equal to the number of high-resolution baseline
+gids that map to the low resolution bias gid pixel.</p></li>
+<li><p><strong>bias_dist</strong> (<em>Float</em>) – Nearest neighbor distance from coord to the bias data site</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.LinearCorrection.get_node_cmd">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_node_cmd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.LinearCorrection.get_node_cmd" title="Link to this definition">#</a></dt>
+<dd><p>Get a CLI call to call cls.run() on a single node based on an input
+config.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>config</strong> (<em>dict</em>) – sup3r bias calc config with all necessary args and kwargs to
+initialize the class and call run() on a single node.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.LinearCorrection.meta">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">meta</span></span><a class="headerlink" href="#sup3r.bias.bias_calc.LinearCorrection.meta" title="Link to this definition">#</a></dt>
+<dd><p>Get a meta data dictionary on how these bias factors were
+calculated</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.LinearCorrection.pre_load">
+<span class="sig-name descname"><span class="pre">pre_load</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.LinearCorrection.pre_load" title="Link to this definition">#</a></dt>
+<dd><p>Preload all data needed for bias correction. This is currently
+recommended to improve performance with the new sup3r data handler
+access patterns</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection"><code class="docutils literal notranslate"><span class="pre">LinearCorrection</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.NT"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.NT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.get_linear_correction"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.get_linear_correction()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.write_outputs"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.write_outputs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.run"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.run()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.compare_dists"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.compare_dists()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.distance_upper_bound</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.fill_and_smooth"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.fill_and_smooth()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.get_base_data"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.get_base_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.get_base_gid"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.get_base_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.get_bias_data"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.get_bias_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.get_bias_gid"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.get_bias_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.get_data_pair"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.get_data_pair()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.meta"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.LinearCorrection.pre_load"><code class="docutils literal notranslate"><span class="pre">LinearCorrection.pre_load()</span></code></a></li>
+</ul>
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+    <h1>sup3r.bias.bias_calc.MonthlyLinearCorrection</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.NT"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.NT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.compare_dists"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.compare_dists()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.distance_upper_bound</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.fill_and_smooth"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.fill_and_smooth()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_base_data"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.get_base_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_base_gid"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.get_base_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_bias_data"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.get_bias_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_bias_gid"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.get_bias_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_data_pair"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.get_data_pair()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_linear_correction"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.get_linear_correction()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.meta"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.pre_load"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.pre_load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.run"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.run()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.write_outputs"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.write_outputs()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-bias-bias-calc-monthlylinearcorrection">
+<h1>sup3r.bias.bias_calc.MonthlyLinearCorrection<a class="headerlink" href="#sup3r-bias-bias-calc-monthlylinearcorrection" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyLinearCorrection">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">MonthlyLinearCorrection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_upper_bound</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Resource'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_handler</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'DataHandlerNCforCC'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decimals</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">match_zero_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_load</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc.html#MonthlyLinearCorrection"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.bias.bias_calc.LinearCorrection.html#sup3r.bias.bias_calc.LinearCorrection" title="sup3r.bias.bias_calc.LinearCorrection"><code class="xref py py-class docutils literal notranslate"><span class="pre">LinearCorrection</span></code></a></p>
+<p>Calculate linear correction <a href="#id1"><span class="problematic" id="id2">*</span></a>scalar +adder factors to bias correct data</p>
+<p>This calculation operates on single bias sites on a monthly basis</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_fps</strong> (<em>list | str</em>) – One or more baseline .h5 filepaths representing non-biased data to
+use to correct the biased dataset. This is typically several years
+of WTK or NSRDB files.</p></li>
+<li><p><strong>bias_fps</strong> (<em>list | str</em>) – One or more biased .nc or .h5 filepaths representing the biased
+data to be corrected based on the baseline data. This is typically
+several years of GCM .nc files.</p></li>
+<li><p><strong>base_dset</strong> (<em>str</em>) – A single dataset from the base_fps to retrieve. In the case of wind
+components, this can be u_100m or v_100m which will retrieve
+windspeed and winddirection and derive the U/V component.</p></li>
+<li><p><strong>bias_feature</strong> (<em>str</em>) – This is the biased feature from bias_fps to retrieve. This should
+be a single feature name corresponding to base_dset</p></li>
+<li><p><strong>distance_upper_bound</strong> (<em>float</em>) – Upper bound on the nearest neighbor distance in decimal degrees.
+This should be the approximate resolution of the low-resolution
+bias data. None (default) will calculate this based on the median
+distance between points in bias_fps</p></li>
+<li><p><strong>target</strong> (<em>tuple</em>) – (lat, lon) lower left corner of raster to retrieve from bias_fps.
+If None then the lower left corner of the full domain will be used.</p></li>
+<li><p><strong>shape</strong> (<em>tuple</em>) – (rows, cols) grid size to retrieve from bias_fps. If None then the
+full domain shape will be used.</p></li>
+<li><p><strong>base_handler</strong> (<em>str</em>) – Name of rex resource handler or sup3r.preprocessing class to be
+retrieved from the rex/sup3r library. If a sup3r.preprocessing
+class is used, all data will be loaded in this class’
+initialization and the subsequent bias calculation will be done in
+serial</p></li>
+<li><p><strong>bias_handler</strong> (<em>str</em>) – Name of the bias data handler class to be retrieved from the
+sup3r.preprocessing library.</p></li>
+<li><p><strong>base_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the base_handler
+class</p></li>
+<li><p><strong>bias_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the bias_handler
+class</p></li>
+<li><p><strong>decimals</strong> (<em>int | None</em>) – Option to round bias and base data to this number of decimals, this
+gets passed to np.around(). If decimals is negative, it specifies
+the number of positions to the left of the decimal point.</p></li>
+<li><p><strong>match_zero_rate</strong> (<em>bool</em>) – Option to fix the frequency of zero values in the biased data. The
+lowest percentile of values in the biased data will be set to zero
+to match the percentile of zeros in the base data. If
+SkillAssessment is being run and this is True, the distributions
+will not be mean-centered. This helps resolve the issue where
+global climate models produce too many days with small
+precipitation totals e.g., the “drizzle problem” <a class="reference internal" href="sup3r.bias.bias_calc.SkillAssessment.html#polade2014" id="id3"><span>[Polade2014]</span></a>.</p></li>
+<li><p><strong>pre_load</strong> (<em>bool</em>) – Flag to preload all data needed for bias correction. This is
+currently recommended to improve performance with the new sup3r
+data handler access patterns</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">References</p>
+<div role="list" class="citation-list">
+<div class="citation" id="polade2014" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span><a role="doc-backlink" href="#id3">Polade2014</a><span class="fn-bracket">]</span></span>
+<p>Polade, S. D., Pierce, D. W., Cayan, D. R., Gershunov,
+A., &amp; Dettineer, M. D. (2014). The key role of dry days in changing
+regional climate and precipitation regimes. Scientific reports,
+4(1), 4364. <a class="reference external" href="https://doi.org/10.1038/srep04364">https://doi.org/10.1038/srep04364</a></p>
+</div>
+</div>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.compare_dists" title="sup3r.bias.bias_calc.MonthlyLinearCorrection.compare_dists"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compare_dists</span></code></a>(base_data, bias_data[, adder, ...])</p></td>
+<td><p>Compare two distributions using the two-sample Kolmogorov-Smirnov.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.fill_and_smooth" title="sup3r.bias.bias_calc.MonthlyLinearCorrection.fill_and_smooth"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fill_and_smooth</span></code></a>(out[, fill_extend, ...])</p></td>
+<td><p>For a given set of parameters, fill and extend missing positions</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_base_data" title="sup3r.bias.bias_calc.MonthlyLinearCorrection.get_base_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_base_data</span></code></a>(base_fps, base_dset, base_gid, ...)</p></td>
+<td><p>Get data from the baseline data source, possibly for many high-res base gids corresponding to a single coarse low-res bias gid.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_base_gid" title="sup3r.bias.bias_calc.MonthlyLinearCorrection.get_base_gid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_base_gid</span></code></a>(bias_gid)</p></td>
+<td><p>Get one or more base gid(s) corresponding to a bias gid.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_bias_data" title="sup3r.bias.bias_calc.MonthlyLinearCorrection.get_bias_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_bias_data</span></code></a>(bias_gid[, bias_dh])</p></td>
+<td><p>Get data from the biased data source for a single gid</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_bias_gid" title="sup3r.bias.bias_calc.MonthlyLinearCorrection.get_bias_gid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_bias_gid</span></code></a>(coord)</p></td>
+<td><p>Get the bias gid from a coordinate.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_data_pair" title="sup3r.bias.bias_calc.MonthlyLinearCorrection.get_data_pair"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_data_pair</span></code></a>(coord[, daily_reduction])</p></td>
+<td><p>Get base and bias data observations based on a single bias gid.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_linear_correction" title="sup3r.bias.bias_calc.MonthlyLinearCorrection.get_linear_correction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_linear_correction</span></code></a>(bias_data, base_data, ...)</p></td>
+<td><p>Get the linear correction factors based on 1D bias and base datasets</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_node_cmd" title="sup3r.bias.bias_calc.MonthlyLinearCorrection.get_node_cmd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_node_cmd</span></code></a>(config)</p></td>
+<td><p>Get a CLI call to call cls.run() on a single node based on an input config.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.pre_load" title="sup3r.bias.bias_calc.MonthlyLinearCorrection.pre_load"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pre_load</span></code></a>()</p></td>
+<td><p>Preload all data needed for bias correction.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.run" title="sup3r.bias.bias_calc.MonthlyLinearCorrection.run"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run</span></code></a>([fp_out, max_workers, daily_reduction, ...])</p></td>
+<td><p>Run linear correction factor calculations for every site in the bias dataset</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.write_outputs" title="sup3r.bias.bias_calc.MonthlyLinearCorrection.write_outputs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_outputs</span></code></a>(fp_out, out)</p></td>
+<td><p>Write outputs to an .h5 file.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.NT" title="sup3r.bias.bias_calc.MonthlyLinearCorrection.NT"><code class="xref py py-obj docutils literal notranslate"><span class="pre">NT</span></code></a></p></td>
+<td><p>size of the time dimension, 12 is monthly bias correction</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.distance_upper_bound" title="sup3r.bias.bias_calc.MonthlyLinearCorrection.distance_upper_bound"><code class="xref py py-obj docutils literal notranslate"><span class="pre">distance_upper_bound</span></code></a></p></td>
+<td><p>Maximum distance (float) to map high-resolution data from exo_source to the low-resolution file_paths input.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.meta" title="sup3r.bias.bias_calc.MonthlyLinearCorrection.meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meta</span></code></a></p></td>
+<td><p>Get a meta data dictionary on how these bias factors were calculated</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyLinearCorrection.NT">
+<span class="sig-name descname"><span class="pre">NT</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">12</span></em><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.NT" title="Link to this definition">#</a></dt>
+<dd><p>size of the time dimension, 12 is monthly bias correction</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyLinearCorrection.compare_dists">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compare_dists</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scalar</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.compare_dists" title="Link to this definition">#</a></dt>
+<dd><p>Compare two distributions using the two-sample Kolmogorov-Smirnov.
+When the output is minimized, the two distributions are similar.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – 1D array of base data observations.</p></li>
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of biased data observations.</p></li>
+<li><p><strong>adder</strong> (<em>float</em>) – Factor to adjust the biased data before comparing distributions:
+bias_data * scalar + adder</p></li>
+<li><p><strong>scalar</strong> (<em>float</em>) – Factor to adjust the biased data before comparing distributions:
+bias_data * scalar + adder</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>float</em>) – KS test statistic</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyLinearCorrection.distance_upper_bound">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">distance_upper_bound</span></span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.distance_upper_bound" title="Link to this definition">#</a></dt>
+<dd><p>Maximum distance (float) to map high-resolution data from exo_source
+to the low-resolution file_paths input.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyLinearCorrection.fill_and_smooth">
+<span class="sig-name descname"><span class="pre">fill_and_smooth</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fill_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_interior</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.fill_and_smooth" title="Link to this definition">#</a></dt>
+<dd><p>For a given set of parameters, fill and extend missing positions</p>
+<p>Fill data extending beyond the base meta data extent by doing a
+nearest neighbor gap fill. Smooth interior and extended region with
+given smoothing values.
+Interior smoothing can reduce the affect of extreme values
+within aggregations over large number of pixels.
+The interior is assumed to be defined by the region without nan values.
+The extended region is assumed to be the region with nan values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p></li>
+<li><p><strong>fill_extend</strong> (<em>bool</em>) – Whether to fill data extending beyond the base meta data with
+nearest neighbor values.</p></li>
+<li><p><strong>smooth_extend</strong> (<em>float</em>) – Option to smooth the scalar/adder data outside of the spatial
+domain set by the threshold input. This alleviates the weird seams
+far from the domain of interest. This value is the standard
+deviation for the gaussian_filter kernel</p></li>
+<li><p><strong>smooth_interior</strong> (<em>float</em>) – Value to use to smooth the scalar/adder data inside of the spatial
+domain set by the threshold input. This can reduce the effect of
+extreme values within aggregations over large number of pixels.
+This value is the standard deviation for the gaussian_filter
+kernel.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyLinearCorrection.get_base_data">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_base_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_gid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daily_reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'avg'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decimals</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dh_inst</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_base_data" title="Link to this definition">#</a></dt>
+<dd><p>Get data from the baseline data source, possibly for many high-res
+base gids corresponding to a single coarse low-res bias gid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_fps</strong> (<em>list | str</em>) – One or more baseline .h5 filepaths representing non-biased data to
+use to correct the biased dataset. This is typically several years
+of WTK or NSRDB files.</p></li>
+<li><p><strong>base_dset</strong> (<em>str</em>) – A single dataset from the base_fps to retrieve.</p></li>
+<li><p><strong>base_gid</strong> (<em>int | np.ndarray</em>) – One or more spatial gids to retrieve from base_fps. The data will
+be spatially averaged across all of these sites.</p></li>
+<li><p><strong>base_handler</strong> (<em>rex.Resource</em>) – A rex data handler similar to rex.Resource or sup3r.DataHandler
+classes (if using the latter, must also input base_dh_inst)</p></li>
+<li><p><strong>base_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the base_handler
+class</p></li>
+<li><p><strong>daily_reduction</strong> (<em>None | str</em>) – Option to do a reduction of the hourly+ source base data to daily
+data. Can be None (no reduction, keep source time frequency), “avg”
+(daily average), “max” (daily max), “min” (daily min),
+“sum” (daily sum/total)</p></li>
+<li><p><strong>decimals</strong> (<em>int | None</em>) – Option to round bias and base data to this number of
+decimals, this gets passed to np.around(). If decimals
+is negative, it specifies the number of positions to
+the left of the decimal point.</p></li>
+<li><p><strong>base_dh_inst</strong> (<em>sup3r.DataHandler</em>) – Instantiated  DataHandler class that has already loaded the base
+data (required if base files are .nc and are not being opened by a
+rex Resource handler).</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>out_data</strong> (<em>np.ndarray</em>) – 1D array of base data spatially averaged across the base_gid input
+and possibly daily-averaged or min/max’d as well.</p></li>
+<li><p><strong>out_ti</strong> (<em>pd.DatetimeIndex</em>) – DatetimeIndex object of datetimes corresponding to the
+output data.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyLinearCorrection.get_base_gid">
+<span class="sig-name descname"><span class="pre">get_base_gid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bias_gid</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_base_gid" title="Link to this definition">#</a></dt>
+<dd><p>Get one or more base gid(s) corresponding to a bias gid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>bias_gid</strong> (<em>int</em>) – gid of the data to retrieve in the bias data source raster data.
+The gids for this data source are the enumerated indices of the
+flattened coordinate array.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>dist</strong> (<em>np.ndarray</em>) – Array of nearest neighbor distances with length equal to the number
+of high-resolution baseline gids that map to the low resolution
+bias gid pixel.</p></li>
+<li><p><strong>base_gid</strong> (<em>np.ndarray</em>) – Array of base gids that are the nearest neighbors of bias_gid with
+length equal to the number of high-resolution baseline gids that
+map to the low resolution bias gid pixel.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyLinearCorrection.get_bias_data">
+<span class="sig-name descname"><span class="pre">get_bias_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bias_gid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_dh</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_bias_data" title="Link to this definition">#</a></dt>
+<dd><p>Get data from the biased data source for a single gid</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>bias_gid</strong> (<em>int</em>) – gid of the data to retrieve in the bias data source raster data.
+The gids for this data source are the enumerated indices of the
+flattened coordinate array.</p></li>
+<li><p><strong>bias_dh</strong> (<em>DataHandler, default=self.bias_dh</em>) – Any <code class="docutils literal notranslate"><span class="pre">DataHandler</span></code> from <a class="reference internal" href="sup3r.preprocessing.html#module-sup3r.preprocessing" title="sup3r.preprocessing"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sup3r.preprocessing</span></code></a>. This optional
+argument allows an alternative handler other than the usual
+<code class="xref py py-attr docutils literal notranslate"><span class="pre">bias_dh</span></code>. For instance, the derived
+<code class="xref py py-class docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection</span></code> uses it to access the
+reference biased dataset as well as the target biased dataset.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of temporal data at the requested gid.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyLinearCorrection.get_bias_gid">
+<span class="sig-name descname"><span class="pre">get_bias_gid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coord</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_bias_gid" title="Link to this definition">#</a></dt>
+<dd><p>Get the bias gid from a coordinate.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coord</strong> (<em>tuple</em>) – (lat, lon) to get data for.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>bias_gid</strong> (<em>int</em>) – gid of the data to retrieve in the bias data source raster data.
+The gids for this data source are the enumerated indices of the
+flattened coordinate array.</p></li>
+<li><p><strong>d</strong> (<em>float</em>) – Distance in decimal degrees from coord to bias gid</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyLinearCorrection.get_data_pair">
+<span class="sig-name descname"><span class="pre">get_data_pair</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coord</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daily_reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'avg'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_data_pair" title="Link to this definition">#</a></dt>
+<dd><p>Get base and bias data observations based on a single bias gid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coord</strong> (<em>tuple</em>) – (lat, lon) to get data for.</p></li>
+<li><p><strong>daily_reduction</strong> (<em>None | str</em>) – Option to do a reduction of the hourly+ source base data to daily
+data. Can be None (no reduction, keep source time frequency), “avg”
+(daily average), “max” (daily max), “min” (daily min),
+“sum” (daily sum/total)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – 1D array of base data spatially averaged across the base_gid input
+and possibly daily-averaged or min/max’d as well.</p></li>
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of temporal data at the requested gid.</p></li>
+<li><p><strong>base_dist</strong> (<em>np.ndarray</em>) – Array of nearest neighbor distances from coord to the base data
+sites with length equal to the number of high-resolution baseline
+gids that map to the low resolution bias gid pixel.</p></li>
+<li><p><strong>bias_dist</strong> (<em>Float</em>) – Nearest neighbor distance from coord to the bias data site</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyLinearCorrection.get_linear_correction">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_linear_correction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bias_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_linear_correction" title="Link to this definition">#</a></dt>
+<dd><p>Get the linear correction factors based on 1D bias and base datasets</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of biased data observations.</p></li>
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – 1D array of base data observations.</p></li>
+<li><p><strong>bias_feature</strong> (<em>str</em>) – This is the biased feature from bias_fps to retrieve. This should
+be a single feature name corresponding to base_dset</p></li>
+<li><p><strong>base_dset</strong> (<em>str</em>) – A single dataset from the base_fps to retrieve. In the case of wind
+components, this can be u_100m or v_100m which will retrieve
+windspeed and winddirection and derive the U/V component.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyLinearCorrection.get_node_cmd">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_node_cmd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_node_cmd" title="Link to this definition">#</a></dt>
+<dd><p>Get a CLI call to call cls.run() on a single node based on an input
+config.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>config</strong> (<em>dict</em>) – sup3r bias calc config with all necessary args and kwargs to
+initialize the class and call run() on a single node.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyLinearCorrection.meta">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">meta</span></span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.meta" title="Link to this definition">#</a></dt>
+<dd><p>Get a meta data dictionary on how these bias factors were
+calculated</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyLinearCorrection.pre_load">
+<span class="sig-name descname"><span class="pre">pre_load</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.pre_load" title="Link to this definition">#</a></dt>
+<dd><p>Preload all data needed for bias correction. This is currently
+recommended to improve performance with the new sup3r data handler
+access patterns</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyLinearCorrection.run">
+<span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fp_out</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daily_reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'avg'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fill_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_interior</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.run" title="Link to this definition">#</a></dt>
+<dd><p>Run linear correction factor calculations for every site in the bias
+dataset</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>fp_out</strong> (<em>str | None</em>) – Optional .h5 output file to write scalar and adder arrays.</p></li>
+<li><p><strong>max_workers</strong> (<em>int</em>) – Number of workers to run in parallel. 1 is serial and None is all
+available.</p></li>
+<li><p><strong>daily_reduction</strong> (<em>None | str</em>) – Option to do a reduction of the hourly+ source base data to daily
+data. Can be None (no reduction, keep source time frequency), “avg”
+(daily average), “max” (daily max), “min” (daily min),
+“sum” (daily sum/total)</p></li>
+<li><p><strong>fill_extend</strong> (<em>bool</em>) – Flag to fill data past distance_upper_bound using spatial nearest
+neighbor. If False, the extended domain will be left as NaN.</p></li>
+<li><p><strong>smooth_extend</strong> (<em>float</em>) – Option to smooth the scalar/adder data outside of the spatial
+domain set by the distance_upper_bound input. This alleviates the
+weird seams far from the domain of interest. This value is the
+standard deviation for the gaussian_filter kernel</p></li>
+<li><p><strong>smooth_interior</strong> (<em>float</em>) – Option to smooth the scalar/adder data within the valid spatial
+domain.  This can reduce the affect of extreme values within
+aggregations over large number of pixels.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p>
+</dd>
+</dl>
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+<dl class="py method">
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+<span class="sig-name descname"><span class="pre">write_outputs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fp_out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.write_outputs" title="Link to this definition">#</a></dt>
+<dd><p>Write outputs to an .h5 file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>fp_out</strong> (<em>str | None</em>) – Optional .h5 output file to write scalar and adder arrays.</p></li>
+<li><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.NT"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.NT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.compare_dists"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.compare_dists()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.distance_upper_bound</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.fill_and_smooth"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.fill_and_smooth()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_base_data"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.get_base_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_base_gid"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.get_base_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_bias_data"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.get_bias_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_bias_gid"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.get_bias_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_data_pair"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.get_data_pair()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_linear_correction"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.get_linear_correction()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.meta"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.pre_load"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.pre_load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.run"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.run()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyLinearCorrection.write_outputs"><code class="docutils literal notranslate"><span class="pre">MonthlyLinearCorrection.write_outputs()</span></code></a></li>
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diff --git a/_autosummary/sup3r.bias.bias_calc.MonthlyScalarCorrection.html b/_autosummary/sup3r.bias.bias_calc.MonthlyScalarCorrection.html
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+    <h1>sup3r.bias.bias_calc.MonthlyScalarCorrection</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.NT"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.NT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.compare_dists"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.compare_dists()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.distance_upper_bound</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.fill_and_smooth"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.fill_and_smooth()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_base_data"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.get_base_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_base_gid"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.get_base_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_bias_data"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.get_bias_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_bias_gid"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.get_bias_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_data_pair"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.get_data_pair()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_linear_correction"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.get_linear_correction()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.meta"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.pre_load"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.pre_load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.run"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.run()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.write_outputs"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.write_outputs()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-bias-bias-calc-monthlyscalarcorrection">
+<h1>sup3r.bias.bias_calc.MonthlyScalarCorrection<a class="headerlink" href="#sup3r-bias-bias-calc-monthlyscalarcorrection" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyScalarCorrection">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">MonthlyScalarCorrection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_upper_bound</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Resource'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_handler</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'DataHandlerNCforCC'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decimals</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">match_zero_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_load</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc.html#MonthlyScalarCorrection"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.bias.bias_calc.MonthlyLinearCorrection.html#sup3r.bias.bias_calc.MonthlyLinearCorrection" title="sup3r.bias.bias_calc.MonthlyLinearCorrection"><code class="xref py py-class docutils literal notranslate"><span class="pre">MonthlyLinearCorrection</span></code></a>, <a class="reference internal" href="sup3r.bias.bias_calc.ScalarCorrection.html#sup3r.bias.bias_calc.ScalarCorrection" title="sup3r.bias.bias_calc.ScalarCorrection"><code class="xref py py-class docutils literal notranslate"><span class="pre">ScalarCorrection</span></code></a></p>
+<p>Calculate linear correction <a href="#id1"><span class="problematic" id="id2">*</span></a>scalar factors for each month</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_fps</strong> (<em>list | str</em>) – One or more baseline .h5 filepaths representing non-biased data to
+use to correct the biased dataset. This is typically several years
+of WTK or NSRDB files.</p></li>
+<li><p><strong>bias_fps</strong> (<em>list | str</em>) – One or more biased .nc or .h5 filepaths representing the biased
+data to be corrected based on the baseline data. This is typically
+several years of GCM .nc files.</p></li>
+<li><p><strong>base_dset</strong> (<em>str</em>) – A single dataset from the base_fps to retrieve. In the case of wind
+components, this can be u_100m or v_100m which will retrieve
+windspeed and winddirection and derive the U/V component.</p></li>
+<li><p><strong>bias_feature</strong> (<em>str</em>) – This is the biased feature from bias_fps to retrieve. This should
+be a single feature name corresponding to base_dset</p></li>
+<li><p><strong>distance_upper_bound</strong> (<em>float</em>) – Upper bound on the nearest neighbor distance in decimal degrees.
+This should be the approximate resolution of the low-resolution
+bias data. None (default) will calculate this based on the median
+distance between points in bias_fps</p></li>
+<li><p><strong>target</strong> (<em>tuple</em>) – (lat, lon) lower left corner of raster to retrieve from bias_fps.
+If None then the lower left corner of the full domain will be used.</p></li>
+<li><p><strong>shape</strong> (<em>tuple</em>) – (rows, cols) grid size to retrieve from bias_fps. If None then the
+full domain shape will be used.</p></li>
+<li><p><strong>base_handler</strong> (<em>str</em>) – Name of rex resource handler or sup3r.preprocessing class to be
+retrieved from the rex/sup3r library. If a sup3r.preprocessing
+class is used, all data will be loaded in this class’
+initialization and the subsequent bias calculation will be done in
+serial</p></li>
+<li><p><strong>bias_handler</strong> (<em>str</em>) – Name of the bias data handler class to be retrieved from the
+sup3r.preprocessing library.</p></li>
+<li><p><strong>base_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the base_handler
+class</p></li>
+<li><p><strong>bias_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the bias_handler
+class</p></li>
+<li><p><strong>decimals</strong> (<em>int | None</em>) – Option to round bias and base data to this number of decimals, this
+gets passed to np.around(). If decimals is negative, it specifies
+the number of positions to the left of the decimal point.</p></li>
+<li><p><strong>match_zero_rate</strong> (<em>bool</em>) – Option to fix the frequency of zero values in the biased data. The
+lowest percentile of values in the biased data will be set to zero
+to match the percentile of zeros in the base data. If
+SkillAssessment is being run and this is True, the distributions
+will not be mean-centered. This helps resolve the issue where
+global climate models produce too many days with small
+precipitation totals e.g., the “drizzle problem” <a class="reference internal" href="sup3r.bias.bias_calc.SkillAssessment.html#polade2014" id="id3"><span>[Polade2014]</span></a>.</p></li>
+<li><p><strong>pre_load</strong> (<em>bool</em>) – Flag to preload all data needed for bias correction. This is
+currently recommended to improve performance with the new sup3r
+data handler access patterns</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">References</p>
+<div role="list" class="citation-list">
+<div class="citation" id="polade2014" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span><a role="doc-backlink" href="#id3">Polade2014</a><span class="fn-bracket">]</span></span>
+<p>Polade, S. D., Pierce, D. W., Cayan, D. R., Gershunov,
+A., &amp; Dettineer, M. D. (2014). The key role of dry days in changing
+regional climate and precipitation regimes. Scientific reports,
+4(1), 4364. <a class="reference external" href="https://doi.org/10.1038/srep04364">https://doi.org/10.1038/srep04364</a></p>
+</div>
+</div>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.compare_dists" title="sup3r.bias.bias_calc.MonthlyScalarCorrection.compare_dists"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compare_dists</span></code></a>(base_data, bias_data[, adder, ...])</p></td>
+<td><p>Compare two distributions using the two-sample Kolmogorov-Smirnov.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.fill_and_smooth" title="sup3r.bias.bias_calc.MonthlyScalarCorrection.fill_and_smooth"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fill_and_smooth</span></code></a>(out[, fill_extend, ...])</p></td>
+<td><p>For a given set of parameters, fill and extend missing positions</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_base_data" title="sup3r.bias.bias_calc.MonthlyScalarCorrection.get_base_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_base_data</span></code></a>(base_fps, base_dset, base_gid, ...)</p></td>
+<td><p>Get data from the baseline data source, possibly for many high-res base gids corresponding to a single coarse low-res bias gid.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_base_gid" title="sup3r.bias.bias_calc.MonthlyScalarCorrection.get_base_gid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_base_gid</span></code></a>(bias_gid)</p></td>
+<td><p>Get one or more base gid(s) corresponding to a bias gid.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_bias_data" title="sup3r.bias.bias_calc.MonthlyScalarCorrection.get_bias_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_bias_data</span></code></a>(bias_gid[, bias_dh])</p></td>
+<td><p>Get data from the biased data source for a single gid</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_bias_gid" title="sup3r.bias.bias_calc.MonthlyScalarCorrection.get_bias_gid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_bias_gid</span></code></a>(coord)</p></td>
+<td><p>Get the bias gid from a coordinate.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_data_pair" title="sup3r.bias.bias_calc.MonthlyScalarCorrection.get_data_pair"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_data_pair</span></code></a>(coord[, daily_reduction])</p></td>
+<td><p>Get base and bias data observations based on a single bias gid.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_linear_correction" title="sup3r.bias.bias_calc.MonthlyScalarCorrection.get_linear_correction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_linear_correction</span></code></a>(bias_data, base_data, ...)</p></td>
+<td><p>Get the linear correction factors based on 1D bias and base datasets</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_node_cmd" title="sup3r.bias.bias_calc.MonthlyScalarCorrection.get_node_cmd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_node_cmd</span></code></a>(config)</p></td>
+<td><p>Get a CLI call to call cls.run() on a single node based on an input config.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.pre_load" title="sup3r.bias.bias_calc.MonthlyScalarCorrection.pre_load"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pre_load</span></code></a>()</p></td>
+<td><p>Preload all data needed for bias correction.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.run" title="sup3r.bias.bias_calc.MonthlyScalarCorrection.run"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run</span></code></a>([fp_out, max_workers, daily_reduction, ...])</p></td>
+<td><p>Run linear correction factor calculations for every site in the bias dataset</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.write_outputs" title="sup3r.bias.bias_calc.MonthlyScalarCorrection.write_outputs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_outputs</span></code></a>(fp_out, out)</p></td>
+<td><p>Write outputs to an .h5 file.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.NT" title="sup3r.bias.bias_calc.MonthlyScalarCorrection.NT"><code class="xref py py-obj docutils literal notranslate"><span class="pre">NT</span></code></a></p></td>
+<td><p>size of the time dimension, 12 is monthly bias correction</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.distance_upper_bound" title="sup3r.bias.bias_calc.MonthlyScalarCorrection.distance_upper_bound"><code class="xref py py-obj docutils literal notranslate"><span class="pre">distance_upper_bound</span></code></a></p></td>
+<td><p>Maximum distance (float) to map high-resolution data from exo_source to the low-resolution file_paths input.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.meta" title="sup3r.bias.bias_calc.MonthlyScalarCorrection.meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meta</span></code></a></p></td>
+<td><p>Get a meta data dictionary on how these bias factors were calculated</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyScalarCorrection.NT">
+<span class="sig-name descname"><span class="pre">NT</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">12</span></em><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.NT" title="Link to this definition">#</a></dt>
+<dd><p>size of the time dimension, 12 is monthly bias correction</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyScalarCorrection.compare_dists">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compare_dists</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scalar</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.compare_dists" title="Link to this definition">#</a></dt>
+<dd><p>Compare two distributions using the two-sample Kolmogorov-Smirnov.
+When the output is minimized, the two distributions are similar.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – 1D array of base data observations.</p></li>
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of biased data observations.</p></li>
+<li><p><strong>adder</strong> (<em>float</em>) – Factor to adjust the biased data before comparing distributions:
+bias_data * scalar + adder</p></li>
+<li><p><strong>scalar</strong> (<em>float</em>) – Factor to adjust the biased data before comparing distributions:
+bias_data * scalar + adder</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>float</em>) – KS test statistic</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyScalarCorrection.distance_upper_bound">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">distance_upper_bound</span></span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.distance_upper_bound" title="Link to this definition">#</a></dt>
+<dd><p>Maximum distance (float) to map high-resolution data from exo_source
+to the low-resolution file_paths input.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyScalarCorrection.fill_and_smooth">
+<span class="sig-name descname"><span class="pre">fill_and_smooth</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fill_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_interior</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.fill_and_smooth" title="Link to this definition">#</a></dt>
+<dd><p>For a given set of parameters, fill and extend missing positions</p>
+<p>Fill data extending beyond the base meta data extent by doing a
+nearest neighbor gap fill. Smooth interior and extended region with
+given smoothing values.
+Interior smoothing can reduce the affect of extreme values
+within aggregations over large number of pixels.
+The interior is assumed to be defined by the region without nan values.
+The extended region is assumed to be the region with nan values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p></li>
+<li><p><strong>fill_extend</strong> (<em>bool</em>) – Whether to fill data extending beyond the base meta data with
+nearest neighbor values.</p></li>
+<li><p><strong>smooth_extend</strong> (<em>float</em>) – Option to smooth the scalar/adder data outside of the spatial
+domain set by the threshold input. This alleviates the weird seams
+far from the domain of interest. This value is the standard
+deviation for the gaussian_filter kernel</p></li>
+<li><p><strong>smooth_interior</strong> (<em>float</em>) – Value to use to smooth the scalar/adder data inside of the spatial
+domain set by the threshold input. This can reduce the effect of
+extreme values within aggregations over large number of pixels.
+This value is the standard deviation for the gaussian_filter
+kernel.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyScalarCorrection.get_base_data">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_base_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_gid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daily_reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'avg'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decimals</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dh_inst</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_base_data" title="Link to this definition">#</a></dt>
+<dd><p>Get data from the baseline data source, possibly for many high-res
+base gids corresponding to a single coarse low-res bias gid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_fps</strong> (<em>list | str</em>) – One or more baseline .h5 filepaths representing non-biased data to
+use to correct the biased dataset. This is typically several years
+of WTK or NSRDB files.</p></li>
+<li><p><strong>base_dset</strong> (<em>str</em>) – A single dataset from the base_fps to retrieve.</p></li>
+<li><p><strong>base_gid</strong> (<em>int | np.ndarray</em>) – One or more spatial gids to retrieve from base_fps. The data will
+be spatially averaged across all of these sites.</p></li>
+<li><p><strong>base_handler</strong> (<em>rex.Resource</em>) – A rex data handler similar to rex.Resource or sup3r.DataHandler
+classes (if using the latter, must also input base_dh_inst)</p></li>
+<li><p><strong>base_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the base_handler
+class</p></li>
+<li><p><strong>daily_reduction</strong> (<em>None | str</em>) – Option to do a reduction of the hourly+ source base data to daily
+data. Can be None (no reduction, keep source time frequency), “avg”
+(daily average), “max” (daily max), “min” (daily min),
+“sum” (daily sum/total)</p></li>
+<li><p><strong>decimals</strong> (<em>int | None</em>) – Option to round bias and base data to this number of
+decimals, this gets passed to np.around(). If decimals
+is negative, it specifies the number of positions to
+the left of the decimal point.</p></li>
+<li><p><strong>base_dh_inst</strong> (<em>sup3r.DataHandler</em>) – Instantiated  DataHandler class that has already loaded the base
+data (required if base files are .nc and are not being opened by a
+rex Resource handler).</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>out_data</strong> (<em>np.ndarray</em>) – 1D array of base data spatially averaged across the base_gid input
+and possibly daily-averaged or min/max’d as well.</p></li>
+<li><p><strong>out_ti</strong> (<em>pd.DatetimeIndex</em>) – DatetimeIndex object of datetimes corresponding to the
+output data.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyScalarCorrection.get_base_gid">
+<span class="sig-name descname"><span class="pre">get_base_gid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bias_gid</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_base_gid" title="Link to this definition">#</a></dt>
+<dd><p>Get one or more base gid(s) corresponding to a bias gid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>bias_gid</strong> (<em>int</em>) – gid of the data to retrieve in the bias data source raster data.
+The gids for this data source are the enumerated indices of the
+flattened coordinate array.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>dist</strong> (<em>np.ndarray</em>) – Array of nearest neighbor distances with length equal to the number
+of high-resolution baseline gids that map to the low resolution
+bias gid pixel.</p></li>
+<li><p><strong>base_gid</strong> (<em>np.ndarray</em>) – Array of base gids that are the nearest neighbors of bias_gid with
+length equal to the number of high-resolution baseline gids that
+map to the low resolution bias gid pixel.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyScalarCorrection.get_bias_data">
+<span class="sig-name descname"><span class="pre">get_bias_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bias_gid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_dh</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_bias_data" title="Link to this definition">#</a></dt>
+<dd><p>Get data from the biased data source for a single gid</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>bias_gid</strong> (<em>int</em>) – gid of the data to retrieve in the bias data source raster data.
+The gids for this data source are the enumerated indices of the
+flattened coordinate array.</p></li>
+<li><p><strong>bias_dh</strong> (<em>DataHandler, default=self.bias_dh</em>) – Any <code class="docutils literal notranslate"><span class="pre">DataHandler</span></code> from <a class="reference internal" href="sup3r.preprocessing.html#module-sup3r.preprocessing" title="sup3r.preprocessing"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sup3r.preprocessing</span></code></a>. This optional
+argument allows an alternative handler other than the usual
+<code class="xref py py-attr docutils literal notranslate"><span class="pre">bias_dh</span></code>. For instance, the derived
+<code class="xref py py-class docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection</span></code> uses it to access the
+reference biased dataset as well as the target biased dataset.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of temporal data at the requested gid.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyScalarCorrection.get_bias_gid">
+<span class="sig-name descname"><span class="pre">get_bias_gid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coord</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_bias_gid" title="Link to this definition">#</a></dt>
+<dd><p>Get the bias gid from a coordinate.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coord</strong> (<em>tuple</em>) – (lat, lon) to get data for.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>bias_gid</strong> (<em>int</em>) – gid of the data to retrieve in the bias data source raster data.
+The gids for this data source are the enumerated indices of the
+flattened coordinate array.</p></li>
+<li><p><strong>d</strong> (<em>float</em>) – Distance in decimal degrees from coord to bias gid</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyScalarCorrection.get_data_pair">
+<span class="sig-name descname"><span class="pre">get_data_pair</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coord</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daily_reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'avg'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_data_pair" title="Link to this definition">#</a></dt>
+<dd><p>Get base and bias data observations based on a single bias gid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coord</strong> (<em>tuple</em>) – (lat, lon) to get data for.</p></li>
+<li><p><strong>daily_reduction</strong> (<em>None | str</em>) – Option to do a reduction of the hourly+ source base data to daily
+data. Can be None (no reduction, keep source time frequency), “avg”
+(daily average), “max” (daily max), “min” (daily min),
+“sum” (daily sum/total)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – 1D array of base data spatially averaged across the base_gid input
+and possibly daily-averaged or min/max’d as well.</p></li>
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of temporal data at the requested gid.</p></li>
+<li><p><strong>base_dist</strong> (<em>np.ndarray</em>) – Array of nearest neighbor distances from coord to the base data
+sites with length equal to the number of high-resolution baseline
+gids that map to the low resolution bias gid pixel.</p></li>
+<li><p><strong>bias_dist</strong> (<em>Float</em>) – Nearest neighbor distance from coord to the bias data site</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyScalarCorrection.get_linear_correction">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_linear_correction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bias_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_linear_correction" title="Link to this definition">#</a></dt>
+<dd><p>Get the linear correction factors based on 1D bias and base datasets</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of biased data observations.</p></li>
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – 1D array of base data observations.</p></li>
+<li><p><strong>bias_feature</strong> (<em>str</em>) – This is the biased feature from bias_fps to retrieve. This should
+be a single feature name corresponding to base_dset</p></li>
+<li><p><strong>base_dset</strong> (<em>str</em>) – A single dataset from the base_fps to retrieve. In the case of wind
+components, this can be u_100m or v_100m which will retrieve
+windspeed and winddirection and derive the U/V component.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyScalarCorrection.get_node_cmd">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_node_cmd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_node_cmd" title="Link to this definition">#</a></dt>
+<dd><p>Get a CLI call to call cls.run() on a single node based on an input
+config.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>config</strong> (<em>dict</em>) – sup3r bias calc config with all necessary args and kwargs to
+initialize the class and call run() on a single node.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyScalarCorrection.meta">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">meta</span></span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.meta" title="Link to this definition">#</a></dt>
+<dd><p>Get a meta data dictionary on how these bias factors were
+calculated</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyScalarCorrection.pre_load">
+<span class="sig-name descname"><span class="pre">pre_load</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.pre_load" title="Link to this definition">#</a></dt>
+<dd><p>Preload all data needed for bias correction. This is currently
+recommended to improve performance with the new sup3r data handler
+access patterns</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyScalarCorrection.run">
+<span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fp_out</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daily_reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'avg'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fill_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_interior</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.run" title="Link to this definition">#</a></dt>
+<dd><p>Run linear correction factor calculations for every site in the bias
+dataset</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>fp_out</strong> (<em>str | None</em>) – Optional .h5 output file to write scalar and adder arrays.</p></li>
+<li><p><strong>max_workers</strong> (<em>int</em>) – Number of workers to run in parallel. 1 is serial and None is all
+available.</p></li>
+<li><p><strong>daily_reduction</strong> (<em>None | str</em>) – Option to do a reduction of the hourly+ source base data to daily
+data. Can be None (no reduction, keep source time frequency), “avg”
+(daily average), “max” (daily max), “min” (daily min),
+“sum” (daily sum/total)</p></li>
+<li><p><strong>fill_extend</strong> (<em>bool</em>) – Flag to fill data past distance_upper_bound using spatial nearest
+neighbor. If False, the extended domain will be left as NaN.</p></li>
+<li><p><strong>smooth_extend</strong> (<em>float</em>) – Option to smooth the scalar/adder data outside of the spatial
+domain set by the distance_upper_bound input. This alleviates the
+weird seams far from the domain of interest. This value is the
+standard deviation for the gaussian_filter kernel</p></li>
+<li><p><strong>smooth_interior</strong> (<em>float</em>) – Option to smooth the scalar/adder data within the valid spatial
+domain.  This can reduce the affect of extreme values within
+aggregations over large number of pixels.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.MonthlyScalarCorrection.write_outputs">
+<span class="sig-name descname"><span class="pre">write_outputs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fp_out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.write_outputs" title="Link to this definition">#</a></dt>
+<dd><p>Write outputs to an .h5 file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>fp_out</strong> (<em>str | None</em>) – Optional .h5 output file to write scalar and adder arrays.</p></li>
+<li><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.NT"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.NT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.compare_dists"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.compare_dists()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.distance_upper_bound</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.fill_and_smooth"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.fill_and_smooth()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_base_data"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.get_base_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_base_gid"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.get_base_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_bias_data"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.get_bias_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_bias_gid"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.get_bias_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_data_pair"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.get_data_pair()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_linear_correction"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.get_linear_correction()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.meta"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.pre_load"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.pre_load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.run"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.run()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.MonthlyScalarCorrection.write_outputs"><code class="docutils literal notranslate"><span class="pre">MonthlyScalarCorrection.write_outputs()</span></code></a></li>
+</ul>
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+</ul>
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diff --git a/_autosummary/sup3r.bias.bias_calc.ScalarCorrection.html b/_autosummary/sup3r.bias.bias_calc.ScalarCorrection.html
new file mode 100644
index 000000000..a4b798f33
--- /dev/null
+++ b/_autosummary/sup3r.bias.bias_calc.ScalarCorrection.html
@@ -0,0 +1,1235 @@
+
+<!DOCTYPE html>
+
+
+<html lang="en" data-content_root="../" >
+
+  <head>
+    <meta charset="utf-8" />
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+    <h1>sup3r.bias.bias_calc.ScalarCorrection</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.get_linear_correction"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.get_linear_correction()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.NT"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.NT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.compare_dists"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.compare_dists()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.distance_upper_bound</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.fill_and_smooth"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.fill_and_smooth()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.get_base_data"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.get_base_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.get_base_gid"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.get_base_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.get_bias_data"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.get_bias_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.get_bias_gid"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.get_bias_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.get_data_pair"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.get_data_pair()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.meta"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.pre_load"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.pre_load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.run"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.run()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.write_outputs"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.write_outputs()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
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+                <article class="bd-article">
+                  
+  <section id="sup3r-bias-bias-calc-scalarcorrection">
+<h1>sup3r.bias.bias_calc.ScalarCorrection<a class="headerlink" href="#sup3r-bias-bias-calc-scalarcorrection" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.ScalarCorrection">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ScalarCorrection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_upper_bound</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Resource'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_handler</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'DataHandlerNCforCC'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decimals</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">match_zero_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_load</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc.html#ScalarCorrection"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc.ScalarCorrection" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.bias.bias_calc.LinearCorrection.html#sup3r.bias.bias_calc.LinearCorrection" title="sup3r.bias.bias_calc.LinearCorrection"><code class="xref py py-class docutils literal notranslate"><span class="pre">LinearCorrection</span></code></a></p>
+<p>Calculate annual linear correction <a href="#id1"><span class="problematic" id="id2">*</span></a>scalar factors to bias correct data.
+This typically used when base data is just monthly or annual means and
+standard deviations cannot be computed. This is case for vortex data, for
+example. Thus, just scalar factors are computed as mean(base_data) /
+mean(bias_data). Adder factors are still written but are exactly zero.</p>
+<p>This calculation operates on single bias sites on a monthly basis</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_fps</strong> (<em>list | str</em>) – One or more baseline .h5 filepaths representing non-biased data to
+use to correct the biased dataset. This is typically several years
+of WTK or NSRDB files.</p></li>
+<li><p><strong>bias_fps</strong> (<em>list | str</em>) – One or more biased .nc or .h5 filepaths representing the biased
+data to be corrected based on the baseline data. This is typically
+several years of GCM .nc files.</p></li>
+<li><p><strong>base_dset</strong> (<em>str</em>) – A single dataset from the base_fps to retrieve. In the case of wind
+components, this can be u_100m or v_100m which will retrieve
+windspeed and winddirection and derive the U/V component.</p></li>
+<li><p><strong>bias_feature</strong> (<em>str</em>) – This is the biased feature from bias_fps to retrieve. This should
+be a single feature name corresponding to base_dset</p></li>
+<li><p><strong>distance_upper_bound</strong> (<em>float</em>) – Upper bound on the nearest neighbor distance in decimal degrees.
+This should be the approximate resolution of the low-resolution
+bias data. None (default) will calculate this based on the median
+distance between points in bias_fps</p></li>
+<li><p><strong>target</strong> (<em>tuple</em>) – (lat, lon) lower left corner of raster to retrieve from bias_fps.
+If None then the lower left corner of the full domain will be used.</p></li>
+<li><p><strong>shape</strong> (<em>tuple</em>) – (rows, cols) grid size to retrieve from bias_fps. If None then the
+full domain shape will be used.</p></li>
+<li><p><strong>base_handler</strong> (<em>str</em>) – Name of rex resource handler or sup3r.preprocessing class to be
+retrieved from the rex/sup3r library. If a sup3r.preprocessing
+class is used, all data will be loaded in this class’
+initialization and the subsequent bias calculation will be done in
+serial</p></li>
+<li><p><strong>bias_handler</strong> (<em>str</em>) – Name of the bias data handler class to be retrieved from the
+sup3r.preprocessing library.</p></li>
+<li><p><strong>base_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the base_handler
+class</p></li>
+<li><p><strong>bias_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the bias_handler
+class</p></li>
+<li><p><strong>decimals</strong> (<em>int | None</em>) – Option to round bias and base data to this number of decimals, this
+gets passed to np.around(). If decimals is negative, it specifies
+the number of positions to the left of the decimal point.</p></li>
+<li><p><strong>match_zero_rate</strong> (<em>bool</em>) – Option to fix the frequency of zero values in the biased data. The
+lowest percentile of values in the biased data will be set to zero
+to match the percentile of zeros in the base data. If
+SkillAssessment is being run and this is True, the distributions
+will not be mean-centered. This helps resolve the issue where
+global climate models produce too many days with small
+precipitation totals e.g., the “drizzle problem” <a class="reference internal" href="sup3r.bias.bias_calc.SkillAssessment.html#polade2014" id="id3"><span>[Polade2014]</span></a>.</p></li>
+<li><p><strong>pre_load</strong> (<em>bool</em>) – Flag to preload all data needed for bias correction. This is
+currently recommended to improve performance with the new sup3r
+data handler access patterns</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">References</p>
+<div role="list" class="citation-list">
+<div class="citation" id="polade2014" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span><a role="doc-backlink" href="#id3">Polade2014</a><span class="fn-bracket">]</span></span>
+<p>Polade, S. D., Pierce, D. W., Cayan, D. R., Gershunov,
+A., &amp; Dettineer, M. D. (2014). The key role of dry days in changing
+regional climate and precipitation regimes. Scientific reports,
+4(1), 4364. <a class="reference external" href="https://doi.org/10.1038/srep04364">https://doi.org/10.1038/srep04364</a></p>
+</div>
+</div>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.ScalarCorrection.compare_dists" title="sup3r.bias.bias_calc.ScalarCorrection.compare_dists"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compare_dists</span></code></a>(base_data, bias_data[, adder, ...])</p></td>
+<td><p>Compare two distributions using the two-sample Kolmogorov-Smirnov.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.ScalarCorrection.fill_and_smooth" title="sup3r.bias.bias_calc.ScalarCorrection.fill_and_smooth"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fill_and_smooth</span></code></a>(out[, fill_extend, ...])</p></td>
+<td><p>For a given set of parameters, fill and extend missing positions</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.ScalarCorrection.get_base_data" title="sup3r.bias.bias_calc.ScalarCorrection.get_base_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_base_data</span></code></a>(base_fps, base_dset, base_gid, ...)</p></td>
+<td><p>Get data from the baseline data source, possibly for many high-res base gids corresponding to a single coarse low-res bias gid.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.ScalarCorrection.get_base_gid" title="sup3r.bias.bias_calc.ScalarCorrection.get_base_gid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_base_gid</span></code></a>(bias_gid)</p></td>
+<td><p>Get one or more base gid(s) corresponding to a bias gid.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.ScalarCorrection.get_bias_data" title="sup3r.bias.bias_calc.ScalarCorrection.get_bias_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_bias_data</span></code></a>(bias_gid[, bias_dh])</p></td>
+<td><p>Get data from the biased data source for a single gid</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.ScalarCorrection.get_bias_gid" title="sup3r.bias.bias_calc.ScalarCorrection.get_bias_gid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_bias_gid</span></code></a>(coord)</p></td>
+<td><p>Get the bias gid from a coordinate.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.ScalarCorrection.get_data_pair" title="sup3r.bias.bias_calc.ScalarCorrection.get_data_pair"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_data_pair</span></code></a>(coord[, daily_reduction])</p></td>
+<td><p>Get base and bias data observations based on a single bias gid.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.ScalarCorrection.get_linear_correction" title="sup3r.bias.bias_calc.ScalarCorrection.get_linear_correction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_linear_correction</span></code></a>(bias_data, base_data, ...)</p></td>
+<td><p>Get the linear correction factors based on 1D bias and base datasets</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.ScalarCorrection.get_node_cmd" title="sup3r.bias.bias_calc.ScalarCorrection.get_node_cmd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_node_cmd</span></code></a>(config)</p></td>
+<td><p>Get a CLI call to call cls.run() on a single node based on an input config.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.ScalarCorrection.pre_load" title="sup3r.bias.bias_calc.ScalarCorrection.pre_load"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pre_load</span></code></a>()</p></td>
+<td><p>Preload all data needed for bias correction.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.ScalarCorrection.run" title="sup3r.bias.bias_calc.ScalarCorrection.run"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run</span></code></a>([fp_out, max_workers, daily_reduction, ...])</p></td>
+<td><p>Run linear correction factor calculations for every site in the bias dataset</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.ScalarCorrection.write_outputs" title="sup3r.bias.bias_calc.ScalarCorrection.write_outputs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_outputs</span></code></a>(fp_out, out)</p></td>
+<td><p>Write outputs to an .h5 file.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.ScalarCorrection.NT" title="sup3r.bias.bias_calc.ScalarCorrection.NT"><code class="xref py py-obj docutils literal notranslate"><span class="pre">NT</span></code></a></p></td>
+<td><p>size of the time dimension, 1 is no time-based bias correction</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.ScalarCorrection.distance_upper_bound" title="sup3r.bias.bias_calc.ScalarCorrection.distance_upper_bound"><code class="xref py py-obj docutils literal notranslate"><span class="pre">distance_upper_bound</span></code></a></p></td>
+<td><p>Maximum distance (float) to map high-resolution data from exo_source to the low-resolution file_paths input.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.ScalarCorrection.meta" title="sup3r.bias.bias_calc.ScalarCorrection.meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meta</span></code></a></p></td>
+<td><p>Get a meta data dictionary on how these bias factors were calculated</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.ScalarCorrection.get_linear_correction">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_linear_correction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bias_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc.html#ScalarCorrection.get_linear_correction"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc.ScalarCorrection.get_linear_correction" title="Link to this definition">#</a></dt>
+<dd><p>Get the linear correction factors based on 1D bias and base datasets</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of biased data observations.</p></li>
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – 1D array of base data observations.</p></li>
+<li><p><strong>bias_feature</strong> (<em>str</em>) – This is the biased feature from bias_fps to retrieve. This should
+be a single feature name corresponding to base_dset</p></li>
+<li><p><strong>base_dset</strong> (<em>str</em>) – A single dataset from the base_fps to retrieve. In the case of wind
+components, this can be u_100m or v_100m which will retrieve
+windspeed and winddirection and derive the U/V component.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.ScalarCorrection.NT">
+<span class="sig-name descname"><span class="pre">NT</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">1</span></em><a class="headerlink" href="#sup3r.bias.bias_calc.ScalarCorrection.NT" title="Link to this definition">#</a></dt>
+<dd><p>size of the time dimension, 1 is no time-based bias correction</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.ScalarCorrection.compare_dists">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compare_dists</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scalar</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.ScalarCorrection.compare_dists" title="Link to this definition">#</a></dt>
+<dd><p>Compare two distributions using the two-sample Kolmogorov-Smirnov.
+When the output is minimized, the two distributions are similar.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – 1D array of base data observations.</p></li>
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of biased data observations.</p></li>
+<li><p><strong>adder</strong> (<em>float</em>) – Factor to adjust the biased data before comparing distributions:
+bias_data * scalar + adder</p></li>
+<li><p><strong>scalar</strong> (<em>float</em>) – Factor to adjust the biased data before comparing distributions:
+bias_data * scalar + adder</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>float</em>) – KS test statistic</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.ScalarCorrection.distance_upper_bound">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">distance_upper_bound</span></span><a class="headerlink" href="#sup3r.bias.bias_calc.ScalarCorrection.distance_upper_bound" title="Link to this definition">#</a></dt>
+<dd><p>Maximum distance (float) to map high-resolution data from exo_source
+to the low-resolution file_paths input.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.ScalarCorrection.fill_and_smooth">
+<span class="sig-name descname"><span class="pre">fill_and_smooth</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fill_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_interior</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.ScalarCorrection.fill_and_smooth" title="Link to this definition">#</a></dt>
+<dd><p>For a given set of parameters, fill and extend missing positions</p>
+<p>Fill data extending beyond the base meta data extent by doing a
+nearest neighbor gap fill. Smooth interior and extended region with
+given smoothing values.
+Interior smoothing can reduce the affect of extreme values
+within aggregations over large number of pixels.
+The interior is assumed to be defined by the region without nan values.
+The extended region is assumed to be the region with nan values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p></li>
+<li><p><strong>fill_extend</strong> (<em>bool</em>) – Whether to fill data extending beyond the base meta data with
+nearest neighbor values.</p></li>
+<li><p><strong>smooth_extend</strong> (<em>float</em>) – Option to smooth the scalar/adder data outside of the spatial
+domain set by the threshold input. This alleviates the weird seams
+far from the domain of interest. This value is the standard
+deviation for the gaussian_filter kernel</p></li>
+<li><p><strong>smooth_interior</strong> (<em>float</em>) – Value to use to smooth the scalar/adder data inside of the spatial
+domain set by the threshold input. This can reduce the effect of
+extreme values within aggregations over large number of pixels.
+This value is the standard deviation for the gaussian_filter
+kernel.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.ScalarCorrection.get_base_data">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_base_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_gid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daily_reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'avg'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decimals</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dh_inst</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.ScalarCorrection.get_base_data" title="Link to this definition">#</a></dt>
+<dd><p>Get data from the baseline data source, possibly for many high-res
+base gids corresponding to a single coarse low-res bias gid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_fps</strong> (<em>list | str</em>) – One or more baseline .h5 filepaths representing non-biased data to
+use to correct the biased dataset. This is typically several years
+of WTK or NSRDB files.</p></li>
+<li><p><strong>base_dset</strong> (<em>str</em>) – A single dataset from the base_fps to retrieve.</p></li>
+<li><p><strong>base_gid</strong> (<em>int | np.ndarray</em>) – One or more spatial gids to retrieve from base_fps. The data will
+be spatially averaged across all of these sites.</p></li>
+<li><p><strong>base_handler</strong> (<em>rex.Resource</em>) – A rex data handler similar to rex.Resource or sup3r.DataHandler
+classes (if using the latter, must also input base_dh_inst)</p></li>
+<li><p><strong>base_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the base_handler
+class</p></li>
+<li><p><strong>daily_reduction</strong> (<em>None | str</em>) – Option to do a reduction of the hourly+ source base data to daily
+data. Can be None (no reduction, keep source time frequency), “avg”
+(daily average), “max” (daily max), “min” (daily min),
+“sum” (daily sum/total)</p></li>
+<li><p><strong>decimals</strong> (<em>int | None</em>) – Option to round bias and base data to this number of
+decimals, this gets passed to np.around(). If decimals
+is negative, it specifies the number of positions to
+the left of the decimal point.</p></li>
+<li><p><strong>base_dh_inst</strong> (<em>sup3r.DataHandler</em>) – Instantiated  DataHandler class that has already loaded the base
+data (required if base files are .nc and are not being opened by a
+rex Resource handler).</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>out_data</strong> (<em>np.ndarray</em>) – 1D array of base data spatially averaged across the base_gid input
+and possibly daily-averaged or min/max’d as well.</p></li>
+<li><p><strong>out_ti</strong> (<em>pd.DatetimeIndex</em>) – DatetimeIndex object of datetimes corresponding to the
+output data.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.ScalarCorrection.get_base_gid">
+<span class="sig-name descname"><span class="pre">get_base_gid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bias_gid</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.ScalarCorrection.get_base_gid" title="Link to this definition">#</a></dt>
+<dd><p>Get one or more base gid(s) corresponding to a bias gid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>bias_gid</strong> (<em>int</em>) – gid of the data to retrieve in the bias data source raster data.
+The gids for this data source are the enumerated indices of the
+flattened coordinate array.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>dist</strong> (<em>np.ndarray</em>) – Array of nearest neighbor distances with length equal to the number
+of high-resolution baseline gids that map to the low resolution
+bias gid pixel.</p></li>
+<li><p><strong>base_gid</strong> (<em>np.ndarray</em>) – Array of base gids that are the nearest neighbors of bias_gid with
+length equal to the number of high-resolution baseline gids that
+map to the low resolution bias gid pixel.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.ScalarCorrection.get_bias_data">
+<span class="sig-name descname"><span class="pre">get_bias_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bias_gid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_dh</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.ScalarCorrection.get_bias_data" title="Link to this definition">#</a></dt>
+<dd><p>Get data from the biased data source for a single gid</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>bias_gid</strong> (<em>int</em>) – gid of the data to retrieve in the bias data source raster data.
+The gids for this data source are the enumerated indices of the
+flattened coordinate array.</p></li>
+<li><p><strong>bias_dh</strong> (<em>DataHandler, default=self.bias_dh</em>) – Any <code class="docutils literal notranslate"><span class="pre">DataHandler</span></code> from <a class="reference internal" href="sup3r.preprocessing.html#module-sup3r.preprocessing" title="sup3r.preprocessing"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sup3r.preprocessing</span></code></a>. This optional
+argument allows an alternative handler other than the usual
+<code class="xref py py-attr docutils literal notranslate"><span class="pre">bias_dh</span></code>. For instance, the derived
+<code class="xref py py-class docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection</span></code> uses it to access the
+reference biased dataset as well as the target biased dataset.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of temporal data at the requested gid.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.ScalarCorrection.get_bias_gid">
+<span class="sig-name descname"><span class="pre">get_bias_gid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coord</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.ScalarCorrection.get_bias_gid" title="Link to this definition">#</a></dt>
+<dd><p>Get the bias gid from a coordinate.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coord</strong> (<em>tuple</em>) – (lat, lon) to get data for.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>bias_gid</strong> (<em>int</em>) – gid of the data to retrieve in the bias data source raster data.
+The gids for this data source are the enumerated indices of the
+flattened coordinate array.</p></li>
+<li><p><strong>d</strong> (<em>float</em>) – Distance in decimal degrees from coord to bias gid</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.ScalarCorrection.get_data_pair">
+<span class="sig-name descname"><span class="pre">get_data_pair</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coord</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daily_reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'avg'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.ScalarCorrection.get_data_pair" title="Link to this definition">#</a></dt>
+<dd><p>Get base and bias data observations based on a single bias gid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coord</strong> (<em>tuple</em>) – (lat, lon) to get data for.</p></li>
+<li><p><strong>daily_reduction</strong> (<em>None | str</em>) – Option to do a reduction of the hourly+ source base data to daily
+data. Can be None (no reduction, keep source time frequency), “avg”
+(daily average), “max” (daily max), “min” (daily min),
+“sum” (daily sum/total)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – 1D array of base data spatially averaged across the base_gid input
+and possibly daily-averaged or min/max’d as well.</p></li>
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of temporal data at the requested gid.</p></li>
+<li><p><strong>base_dist</strong> (<em>np.ndarray</em>) – Array of nearest neighbor distances from coord to the base data
+sites with length equal to the number of high-resolution baseline
+gids that map to the low resolution bias gid pixel.</p></li>
+<li><p><strong>bias_dist</strong> (<em>Float</em>) – Nearest neighbor distance from coord to the bias data site</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.ScalarCorrection.get_node_cmd">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_node_cmd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.ScalarCorrection.get_node_cmd" title="Link to this definition">#</a></dt>
+<dd><p>Get a CLI call to call cls.run() on a single node based on an input
+config.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>config</strong> (<em>dict</em>) – sup3r bias calc config with all necessary args and kwargs to
+initialize the class and call run() on a single node.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.ScalarCorrection.meta">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">meta</span></span><a class="headerlink" href="#sup3r.bias.bias_calc.ScalarCorrection.meta" title="Link to this definition">#</a></dt>
+<dd><p>Get a meta data dictionary on how these bias factors were
+calculated</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.ScalarCorrection.pre_load">
+<span class="sig-name descname"><span class="pre">pre_load</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.ScalarCorrection.pre_load" title="Link to this definition">#</a></dt>
+<dd><p>Preload all data needed for bias correction. This is currently
+recommended to improve performance with the new sup3r data handler
+access patterns</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.ScalarCorrection.run">
+<span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fp_out</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daily_reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'avg'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fill_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_interior</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.ScalarCorrection.run" title="Link to this definition">#</a></dt>
+<dd><p>Run linear correction factor calculations for every site in the bias
+dataset</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>fp_out</strong> (<em>str | None</em>) – Optional .h5 output file to write scalar and adder arrays.</p></li>
+<li><p><strong>max_workers</strong> (<em>int</em>) – Number of workers to run in parallel. 1 is serial and None is all
+available.</p></li>
+<li><p><strong>daily_reduction</strong> (<em>None | str</em>) – Option to do a reduction of the hourly+ source base data to daily
+data. Can be None (no reduction, keep source time frequency), “avg”
+(daily average), “max” (daily max), “min” (daily min),
+“sum” (daily sum/total)</p></li>
+<li><p><strong>fill_extend</strong> (<em>bool</em>) – Flag to fill data past distance_upper_bound using spatial nearest
+neighbor. If False, the extended domain will be left as NaN.</p></li>
+<li><p><strong>smooth_extend</strong> (<em>float</em>) – Option to smooth the scalar/adder data outside of the spatial
+domain set by the distance_upper_bound input. This alleviates the
+weird seams far from the domain of interest. This value is the
+standard deviation for the gaussian_filter kernel</p></li>
+<li><p><strong>smooth_interior</strong> (<em>float</em>) – Option to smooth the scalar/adder data within the valid spatial
+domain.  This can reduce the affect of extreme values within
+aggregations over large number of pixels.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.ScalarCorrection.write_outputs">
+<span class="sig-name descname"><span class="pre">write_outputs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fp_out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.ScalarCorrection.write_outputs" title="Link to this definition">#</a></dt>
+<dd><p>Write outputs to an .h5 file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>fp_out</strong> (<em>str | None</em>) – Optional .h5 output file to write scalar and adder arrays.</p></li>
+<li><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.get_linear_correction"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.get_linear_correction()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.NT"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.NT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.compare_dists"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.compare_dists()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.distance_upper_bound</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.fill_and_smooth"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.fill_and_smooth()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.get_base_data"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.get_base_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.get_base_gid"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.get_base_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.get_bias_data"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.get_bias_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.get_bias_gid"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.get_bias_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.get_data_pair"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.get_data_pair()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.meta"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.pre_load"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.pre_load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.run"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.run()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.ScalarCorrection.write_outputs"><code class="docutils literal notranslate"><span class="pre">ScalarCorrection.write_outputs()</span></code></a></li>
+</ul>
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+</ul>
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new file mode 100644
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment"><code class="docutils literal notranslate"><span class="pre">SkillAssessment</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.PERCENTILES"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.PERCENTILES</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.NT"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.NT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.compare_dists"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.compare_dists()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.distance_upper_bound</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.fill_and_smooth"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.fill_and_smooth()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.get_base_data"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.get_base_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.get_base_gid"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.get_base_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.get_bias_data"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.get_bias_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.get_bias_gid"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.get_bias_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.get_data_pair"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.get_data_pair()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.get_linear_correction"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.get_linear_correction()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.meta"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.pre_load"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.pre_load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.run"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.run()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.write_outputs"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.write_outputs()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-bias-bias-calc-skillassessment">
+<h1>sup3r.bias.bias_calc.SkillAssessment<a class="headerlink" href="#sup3r-bias-bias-calc-skillassessment" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.SkillAssessment">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">SkillAssessment</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_upper_bound</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Resource'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_handler</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'DataHandlerNCforCC'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decimals</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">match_zero_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_load</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc.html#SkillAssessment"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc.SkillAssessment" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.bias.bias_calc.MonthlyLinearCorrection.html#sup3r.bias.bias_calc.MonthlyLinearCorrection" title="sup3r.bias.bias_calc.MonthlyLinearCorrection"><code class="xref py py-class docutils literal notranslate"><span class="pre">MonthlyLinearCorrection</span></code></a></p>
+<p>Calculate historical skill of one dataset compared to another.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_fps</strong> (<em>list | str</em>) – One or more baseline .h5 filepaths representing non-biased data to
+use to correct the biased dataset. This is typically several years
+of WTK or NSRDB files.</p></li>
+<li><p><strong>bias_fps</strong> (<em>list | str</em>) – One or more biased .nc or .h5 filepaths representing the biased
+data to be corrected based on the baseline data. This is typically
+several years of GCM .nc files.</p></li>
+<li><p><strong>base_dset</strong> (<em>str</em>) – A single dataset from the base_fps to retrieve. In the case of wind
+components, this can be u_100m or v_100m which will retrieve
+windspeed and winddirection and derive the U/V component.</p></li>
+<li><p><strong>bias_feature</strong> (<em>str</em>) – This is the biased feature from bias_fps to retrieve. This should
+be a single feature name corresponding to base_dset</p></li>
+<li><p><strong>distance_upper_bound</strong> (<em>float</em>) – Upper bound on the nearest neighbor distance in decimal degrees.
+This should be the approximate resolution of the low-resolution
+bias data. None (default) will calculate this based on the median
+distance between points in bias_fps</p></li>
+<li><p><strong>target</strong> (<em>tuple</em>) – (lat, lon) lower left corner of raster to retrieve from bias_fps.
+If None then the lower left corner of the full domain will be used.</p></li>
+<li><p><strong>shape</strong> (<em>tuple</em>) – (rows, cols) grid size to retrieve from bias_fps. If None then the
+full domain shape will be used.</p></li>
+<li><p><strong>base_handler</strong> (<em>str</em>) – Name of rex resource handler or sup3r.preprocessing class to be
+retrieved from the rex/sup3r library. If a sup3r.preprocessing
+class is used, all data will be loaded in this class’
+initialization and the subsequent bias calculation will be done in
+serial</p></li>
+<li><p><strong>bias_handler</strong> (<em>str</em>) – Name of the bias data handler class to be retrieved from the
+sup3r.preprocessing library.</p></li>
+<li><p><strong>base_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the base_handler
+class</p></li>
+<li><p><strong>bias_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the bias_handler
+class</p></li>
+<li><p><strong>decimals</strong> (<em>int | None</em>) – Option to round bias and base data to this number of decimals, this
+gets passed to np.around(). If decimals is negative, it specifies
+the number of positions to the left of the decimal point.</p></li>
+<li><p><strong>match_zero_rate</strong> (<em>bool</em>) – Option to fix the frequency of zero values in the biased data. The
+lowest percentile of values in the biased data will be set to zero
+to match the percentile of zeros in the base data. If
+SkillAssessment is being run and this is True, the distributions
+will not be mean-centered. This helps resolve the issue where
+global climate models produce too many days with small
+precipitation totals e.g., the “drizzle problem” <a class="reference internal" href="#polade2014" id="id1"><span>[Polade2014]</span></a>.</p></li>
+<li><p><strong>pre_load</strong> (<em>bool</em>) – Flag to preload all data needed for bias correction. This is
+currently recommended to improve performance with the new sup3r
+data handler access patterns</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">References</p>
+<div role="list" class="citation-list">
+<div class="citation" id="polade2014" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span><a role="doc-backlink" href="#id1">Polade2014</a><span class="fn-bracket">]</span></span>
+<p>Polade, S. D., Pierce, D. W., Cayan, D. R., Gershunov,
+A., &amp; Dettineer, M. D. (2014). The key role of dry days in changing
+regional climate and precipitation regimes. Scientific reports,
+4(1), 4364. <a class="reference external" href="https://doi.org/10.1038/srep04364">https://doi.org/10.1038/srep04364</a></p>
+</div>
+</div>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.SkillAssessment.compare_dists" title="sup3r.bias.bias_calc.SkillAssessment.compare_dists"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compare_dists</span></code></a>(base_data, bias_data[, adder, ...])</p></td>
+<td><p>Compare two distributions using the two-sample Kolmogorov-Smirnov.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.SkillAssessment.fill_and_smooth" title="sup3r.bias.bias_calc.SkillAssessment.fill_and_smooth"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fill_and_smooth</span></code></a>(out[, fill_extend, ...])</p></td>
+<td><p>For a given set of parameters, fill and extend missing positions</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.SkillAssessment.get_base_data" title="sup3r.bias.bias_calc.SkillAssessment.get_base_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_base_data</span></code></a>(base_fps, base_dset, base_gid, ...)</p></td>
+<td><p>Get data from the baseline data source, possibly for many high-res base gids corresponding to a single coarse low-res bias gid.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.SkillAssessment.get_base_gid" title="sup3r.bias.bias_calc.SkillAssessment.get_base_gid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_base_gid</span></code></a>(bias_gid)</p></td>
+<td><p>Get one or more base gid(s) corresponding to a bias gid.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.SkillAssessment.get_bias_data" title="sup3r.bias.bias_calc.SkillAssessment.get_bias_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_bias_data</span></code></a>(bias_gid[, bias_dh])</p></td>
+<td><p>Get data from the biased data source for a single gid</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.SkillAssessment.get_bias_gid" title="sup3r.bias.bias_calc.SkillAssessment.get_bias_gid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_bias_gid</span></code></a>(coord)</p></td>
+<td><p>Get the bias gid from a coordinate.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.SkillAssessment.get_data_pair" title="sup3r.bias.bias_calc.SkillAssessment.get_data_pair"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_data_pair</span></code></a>(coord[, daily_reduction])</p></td>
+<td><p>Get base and bias data observations based on a single bias gid.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.SkillAssessment.get_linear_correction" title="sup3r.bias.bias_calc.SkillAssessment.get_linear_correction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_linear_correction</span></code></a>(bias_data, base_data, ...)</p></td>
+<td><p>Get the linear correction factors based on 1D bias and base datasets</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.SkillAssessment.get_node_cmd" title="sup3r.bias.bias_calc.SkillAssessment.get_node_cmd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_node_cmd</span></code></a>(config)</p></td>
+<td><p>Get a CLI call to call cls.run() on a single node based on an input config.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.SkillAssessment.pre_load" title="sup3r.bias.bias_calc.SkillAssessment.pre_load"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pre_load</span></code></a>()</p></td>
+<td><p>Preload all data needed for bias correction.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.SkillAssessment.run" title="sup3r.bias.bias_calc.SkillAssessment.run"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run</span></code></a>([fp_out, max_workers, daily_reduction, ...])</p></td>
+<td><p>Run linear correction factor calculations for every site in the bias dataset</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.SkillAssessment.write_outputs" title="sup3r.bias.bias_calc.SkillAssessment.write_outputs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_outputs</span></code></a>(fp_out, out)</p></td>
+<td><p>Write outputs to an .h5 file.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.SkillAssessment.NT" title="sup3r.bias.bias_calc.SkillAssessment.NT"><code class="xref py py-obj docutils literal notranslate"><span class="pre">NT</span></code></a></p></td>
+<td><p>size of the time dimension, 12 is monthly bias correction</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.SkillAssessment.PERCENTILES" title="sup3r.bias.bias_calc.SkillAssessment.PERCENTILES"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PERCENTILES</span></code></a></p></td>
+<td><p>Data percentiles to report.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.SkillAssessment.distance_upper_bound" title="sup3r.bias.bias_calc.SkillAssessment.distance_upper_bound"><code class="xref py py-obj docutils literal notranslate"><span class="pre">distance_upper_bound</span></code></a></p></td>
+<td><p>Maximum distance (float) to map high-resolution data from exo_source to the low-resolution file_paths input.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc.SkillAssessment.meta" title="sup3r.bias.bias_calc.SkillAssessment.meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meta</span></code></a></p></td>
+<td><p>Get a meta data dictionary on how these bias factors were calculated</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.SkillAssessment.PERCENTILES">
+<span class="sig-name descname"><span class="pre">PERCENTILES</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">(1,</span> <span class="pre">5,</span> <span class="pre">25,</span> <span class="pre">50,</span> <span class="pre">75,</span> <span class="pre">95,</span> <span class="pre">99)</span></em><a class="headerlink" href="#sup3r.bias.bias_calc.SkillAssessment.PERCENTILES" title="Link to this definition">#</a></dt>
+<dd><p>Data percentiles to report.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.SkillAssessment.NT">
+<span class="sig-name descname"><span class="pre">NT</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">12</span></em><a class="headerlink" href="#sup3r.bias.bias_calc.SkillAssessment.NT" title="Link to this definition">#</a></dt>
+<dd><p>size of the time dimension, 12 is monthly bias correction</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.SkillAssessment.compare_dists">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compare_dists</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scalar</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.SkillAssessment.compare_dists" title="Link to this definition">#</a></dt>
+<dd><p>Compare two distributions using the two-sample Kolmogorov-Smirnov.
+When the output is minimized, the two distributions are similar.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – 1D array of base data observations.</p></li>
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of biased data observations.</p></li>
+<li><p><strong>adder</strong> (<em>float</em>) – Factor to adjust the biased data before comparing distributions:
+bias_data * scalar + adder</p></li>
+<li><p><strong>scalar</strong> (<em>float</em>) – Factor to adjust the biased data before comparing distributions:
+bias_data * scalar + adder</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>float</em>) – KS test statistic</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.SkillAssessment.distance_upper_bound">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">distance_upper_bound</span></span><a class="headerlink" href="#sup3r.bias.bias_calc.SkillAssessment.distance_upper_bound" title="Link to this definition">#</a></dt>
+<dd><p>Maximum distance (float) to map high-resolution data from exo_source
+to the low-resolution file_paths input.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.SkillAssessment.fill_and_smooth">
+<span class="sig-name descname"><span class="pre">fill_and_smooth</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fill_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_interior</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.SkillAssessment.fill_and_smooth" title="Link to this definition">#</a></dt>
+<dd><p>For a given set of parameters, fill and extend missing positions</p>
+<p>Fill data extending beyond the base meta data extent by doing a
+nearest neighbor gap fill. Smooth interior and extended region with
+given smoothing values.
+Interior smoothing can reduce the affect of extreme values
+within aggregations over large number of pixels.
+The interior is assumed to be defined by the region without nan values.
+The extended region is assumed to be the region with nan values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p></li>
+<li><p><strong>fill_extend</strong> (<em>bool</em>) – Whether to fill data extending beyond the base meta data with
+nearest neighbor values.</p></li>
+<li><p><strong>smooth_extend</strong> (<em>float</em>) – Option to smooth the scalar/adder data outside of the spatial
+domain set by the threshold input. This alleviates the weird seams
+far from the domain of interest. This value is the standard
+deviation for the gaussian_filter kernel</p></li>
+<li><p><strong>smooth_interior</strong> (<em>float</em>) – Value to use to smooth the scalar/adder data inside of the spatial
+domain set by the threshold input. This can reduce the effect of
+extreme values within aggregations over large number of pixels.
+This value is the standard deviation for the gaussian_filter
+kernel.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.SkillAssessment.get_base_data">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_base_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_gid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daily_reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'avg'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decimals</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dh_inst</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.SkillAssessment.get_base_data" title="Link to this definition">#</a></dt>
+<dd><p>Get data from the baseline data source, possibly for many high-res
+base gids corresponding to a single coarse low-res bias gid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_fps</strong> (<em>list | str</em>) – One or more baseline .h5 filepaths representing non-biased data to
+use to correct the biased dataset. This is typically several years
+of WTK or NSRDB files.</p></li>
+<li><p><strong>base_dset</strong> (<em>str</em>) – A single dataset from the base_fps to retrieve.</p></li>
+<li><p><strong>base_gid</strong> (<em>int | np.ndarray</em>) – One or more spatial gids to retrieve from base_fps. The data will
+be spatially averaged across all of these sites.</p></li>
+<li><p><strong>base_handler</strong> (<em>rex.Resource</em>) – A rex data handler similar to rex.Resource or sup3r.DataHandler
+classes (if using the latter, must also input base_dh_inst)</p></li>
+<li><p><strong>base_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the base_handler
+class</p></li>
+<li><p><strong>daily_reduction</strong> (<em>None | str</em>) – Option to do a reduction of the hourly+ source base data to daily
+data. Can be None (no reduction, keep source time frequency), “avg”
+(daily average), “max” (daily max), “min” (daily min),
+“sum” (daily sum/total)</p></li>
+<li><p><strong>decimals</strong> (<em>int | None</em>) – Option to round bias and base data to this number of
+decimals, this gets passed to np.around(). If decimals
+is negative, it specifies the number of positions to
+the left of the decimal point.</p></li>
+<li><p><strong>base_dh_inst</strong> (<em>sup3r.DataHandler</em>) – Instantiated  DataHandler class that has already loaded the base
+data (required if base files are .nc and are not being opened by a
+rex Resource handler).</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>out_data</strong> (<em>np.ndarray</em>) – 1D array of base data spatially averaged across the base_gid input
+and possibly daily-averaged or min/max’d as well.</p></li>
+<li><p><strong>out_ti</strong> (<em>pd.DatetimeIndex</em>) – DatetimeIndex object of datetimes corresponding to the
+output data.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.SkillAssessment.get_base_gid">
+<span class="sig-name descname"><span class="pre">get_base_gid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bias_gid</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.SkillAssessment.get_base_gid" title="Link to this definition">#</a></dt>
+<dd><p>Get one or more base gid(s) corresponding to a bias gid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>bias_gid</strong> (<em>int</em>) – gid of the data to retrieve in the bias data source raster data.
+The gids for this data source are the enumerated indices of the
+flattened coordinate array.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>dist</strong> (<em>np.ndarray</em>) – Array of nearest neighbor distances with length equal to the number
+of high-resolution baseline gids that map to the low resolution
+bias gid pixel.</p></li>
+<li><p><strong>base_gid</strong> (<em>np.ndarray</em>) – Array of base gids that are the nearest neighbors of bias_gid with
+length equal to the number of high-resolution baseline gids that
+map to the low resolution bias gid pixel.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.SkillAssessment.get_bias_data">
+<span class="sig-name descname"><span class="pre">get_bias_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bias_gid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_dh</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.SkillAssessment.get_bias_data" title="Link to this definition">#</a></dt>
+<dd><p>Get data from the biased data source for a single gid</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>bias_gid</strong> (<em>int</em>) – gid of the data to retrieve in the bias data source raster data.
+The gids for this data source are the enumerated indices of the
+flattened coordinate array.</p></li>
+<li><p><strong>bias_dh</strong> (<em>DataHandler, default=self.bias_dh</em>) – Any <code class="docutils literal notranslate"><span class="pre">DataHandler</span></code> from <a class="reference internal" href="sup3r.preprocessing.html#module-sup3r.preprocessing" title="sup3r.preprocessing"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sup3r.preprocessing</span></code></a>. This optional
+argument allows an alternative handler other than the usual
+<code class="xref py py-attr docutils literal notranslate"><span class="pre">bias_dh</span></code>. For instance, the derived
+<code class="xref py py-class docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection</span></code> uses it to access the
+reference biased dataset as well as the target biased dataset.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of temporal data at the requested gid.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.SkillAssessment.get_bias_gid">
+<span class="sig-name descname"><span class="pre">get_bias_gid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coord</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.SkillAssessment.get_bias_gid" title="Link to this definition">#</a></dt>
+<dd><p>Get the bias gid from a coordinate.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coord</strong> (<em>tuple</em>) – (lat, lon) to get data for.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>bias_gid</strong> (<em>int</em>) – gid of the data to retrieve in the bias data source raster data.
+The gids for this data source are the enumerated indices of the
+flattened coordinate array.</p></li>
+<li><p><strong>d</strong> (<em>float</em>) – Distance in decimal degrees from coord to bias gid</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.SkillAssessment.get_data_pair">
+<span class="sig-name descname"><span class="pre">get_data_pair</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coord</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daily_reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'avg'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.SkillAssessment.get_data_pair" title="Link to this definition">#</a></dt>
+<dd><p>Get base and bias data observations based on a single bias gid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coord</strong> (<em>tuple</em>) – (lat, lon) to get data for.</p></li>
+<li><p><strong>daily_reduction</strong> (<em>None | str</em>) – Option to do a reduction of the hourly+ source base data to daily
+data. Can be None (no reduction, keep source time frequency), “avg”
+(daily average), “max” (daily max), “min” (daily min),
+“sum” (daily sum/total)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – 1D array of base data spatially averaged across the base_gid input
+and possibly daily-averaged or min/max’d as well.</p></li>
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of temporal data at the requested gid.</p></li>
+<li><p><strong>base_dist</strong> (<em>np.ndarray</em>) – Array of nearest neighbor distances from coord to the base data
+sites with length equal to the number of high-resolution baseline
+gids that map to the low resolution bias gid pixel.</p></li>
+<li><p><strong>bias_dist</strong> (<em>Float</em>) – Nearest neighbor distance from coord to the bias data site</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.SkillAssessment.get_linear_correction">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_linear_correction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bias_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.SkillAssessment.get_linear_correction" title="Link to this definition">#</a></dt>
+<dd><p>Get the linear correction factors based on 1D bias and base datasets</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of biased data observations.</p></li>
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – 1D array of base data observations.</p></li>
+<li><p><strong>bias_feature</strong> (<em>str</em>) – This is the biased feature from bias_fps to retrieve. This should
+be a single feature name corresponding to base_dset</p></li>
+<li><p><strong>base_dset</strong> (<em>str</em>) – A single dataset from the base_fps to retrieve. In the case of wind
+components, this can be u_100m or v_100m which will retrieve
+windspeed and winddirection and derive the U/V component.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.SkillAssessment.get_node_cmd">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_node_cmd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.SkillAssessment.get_node_cmd" title="Link to this definition">#</a></dt>
+<dd><p>Get a CLI call to call cls.run() on a single node based on an input
+config.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>config</strong> (<em>dict</em>) – sup3r bias calc config with all necessary args and kwargs to
+initialize the class and call run() on a single node.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.SkillAssessment.meta">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">meta</span></span><a class="headerlink" href="#sup3r.bias.bias_calc.SkillAssessment.meta" title="Link to this definition">#</a></dt>
+<dd><p>Get a meta data dictionary on how these bias factors were
+calculated</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.SkillAssessment.pre_load">
+<span class="sig-name descname"><span class="pre">pre_load</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.SkillAssessment.pre_load" title="Link to this definition">#</a></dt>
+<dd><p>Preload all data needed for bias correction. This is currently
+recommended to improve performance with the new sup3r data handler
+access patterns</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.SkillAssessment.run">
+<span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fp_out</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daily_reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'avg'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fill_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_interior</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.SkillAssessment.run" title="Link to this definition">#</a></dt>
+<dd><p>Run linear correction factor calculations for every site in the bias
+dataset</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>fp_out</strong> (<em>str | None</em>) – Optional .h5 output file to write scalar and adder arrays.</p></li>
+<li><p><strong>max_workers</strong> (<em>int</em>) – Number of workers to run in parallel. 1 is serial and None is all
+available.</p></li>
+<li><p><strong>daily_reduction</strong> (<em>None | str</em>) – Option to do a reduction of the hourly+ source base data to daily
+data. Can be None (no reduction, keep source time frequency), “avg”
+(daily average), “max” (daily max), “min” (daily min),
+“sum” (daily sum/total)</p></li>
+<li><p><strong>fill_extend</strong> (<em>bool</em>) – Flag to fill data past distance_upper_bound using spatial nearest
+neighbor. If False, the extended domain will be left as NaN.</p></li>
+<li><p><strong>smooth_extend</strong> (<em>float</em>) – Option to smooth the scalar/adder data outside of the spatial
+domain set by the distance_upper_bound input. This alleviates the
+weird seams far from the domain of interest. This value is the
+standard deviation for the gaussian_filter kernel</p></li>
+<li><p><strong>smooth_interior</strong> (<em>float</em>) – Option to smooth the scalar/adder data within the valid spatial
+domain.  This can reduce the affect of extreme values within
+aggregations over large number of pixels.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc.SkillAssessment.write_outputs">
+<span class="sig-name descname"><span class="pre">write_outputs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fp_out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.bias_calc.SkillAssessment.write_outputs" title="Link to this definition">#</a></dt>
+<dd><p>Write outputs to an .h5 file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>fp_out</strong> (<em>str | None</em>) – Optional .h5 output file to write scalar and adder arrays.</p></li>
+<li><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
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+              
+              
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment"><code class="docutils literal notranslate"><span class="pre">SkillAssessment</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.PERCENTILES"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.PERCENTILES</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.NT"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.NT</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.compare_dists"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.compare_dists()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.distance_upper_bound</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.fill_and_smooth"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.fill_and_smooth()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.get_base_data"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.get_base_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.get_base_gid"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.get_base_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.get_bias_data"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.get_bias_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.get_bias_gid"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.get_bias_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.get_data_pair"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.get_data_pair()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.get_linear_correction"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.get_linear_correction()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.meta"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.pre_load"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.pre_load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.run"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.run()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc.SkillAssessment.write_outputs"><code class="docutils literal notranslate"><span class="pre">SkillAssessment.write_outputs()</span></code></a></li>
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+    <h1>sup3r.bias.bias_calc</h1>
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+  <section id="module-sup3r.bias.bias_calc">
+<span id="sup3r-bias-bias-calc"></span><h1>sup3r.bias.bias_calc<a class="headerlink" href="#module-sup3r.bias.bias_calc" title="Link to this heading">#</a></h1>
+<p>Utilities to calculate the bias correction factors for biased data that is
+going to be fed into the sup3r downscaling models. This is typically used to
+bias correct GCM data vs. some historical record like the WTK or NSRDB.</p>
+<p>TODO: Generalize the <code class="docutils literal notranslate"><span class="pre">with</span> <span class="pre">ProcessPoolExecutor()</span> <span class="pre">as</span> <span class="pre">exe:</span> <span class="pre">...</span></code> so we don’t
+need to duplicate this wherever we kickoff a process or thread pool</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.bias.bias_calc.LinearCorrection.html#sup3r.bias.bias_calc.LinearCorrection" title="sup3r.bias.bias_calc.LinearCorrection"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LinearCorrection</span></code></a>(base_fps, bias_fps, ...[, ...])</p></td>
+<td><p>Calculate linear correction <a href="#id1"><span class="problematic" id="id2">*</span></a>scalar +adder factors to bias correct data</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.bias.bias_calc.MonthlyLinearCorrection.html#sup3r.bias.bias_calc.MonthlyLinearCorrection" title="sup3r.bias.bias_calc.MonthlyLinearCorrection"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MonthlyLinearCorrection</span></code></a>(base_fps, bias_fps, ...)</p></td>
+<td><p>Calculate linear correction <a href="#id3"><span class="problematic" id="id4">*</span></a>scalar +adder factors to bias correct data</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.bias.bias_calc.MonthlyScalarCorrection.html#sup3r.bias.bias_calc.MonthlyScalarCorrection" title="sup3r.bias.bias_calc.MonthlyScalarCorrection"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MonthlyScalarCorrection</span></code></a>(base_fps, bias_fps, ...)</p></td>
+<td><p>Calculate linear correction <a href="#id5"><span class="problematic" id="id6">*</span></a>scalar factors for each month</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.bias.bias_calc.ScalarCorrection.html#sup3r.bias.bias_calc.ScalarCorrection" title="sup3r.bias.bias_calc.ScalarCorrection"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ScalarCorrection</span></code></a>(base_fps, bias_fps, ...[, ...])</p></td>
+<td><p>Calculate annual linear correction <a href="#id7"><span class="problematic" id="id8">*</span></a>scalar factors to bias correct data. This typically used when base data is just monthly or annual means and standard deviations cannot be computed. This is case for vortex data, for example. Thus, just scalar factors are computed as mean(base_data) / mean(bias_data). Adder factors are still written but are exactly zero.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.bias.bias_calc.SkillAssessment.html#sup3r.bias.bias_calc.SkillAssessment" title="sup3r.bias.bias_calc.SkillAssessment"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SkillAssessment</span></code></a>(base_fps, bias_fps, ...[, ...])</p></td>
+<td><p>Calculate historical skill of one dataset compared to another.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+
+
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+<span id="sup3r-bias-bias-calc-cli"></span><h1>sup3r.bias.bias_calc_cli<a class="headerlink" href="#module-sup3r.bias.bias_calc_cli" title="Link to this heading">#</a></h1>
+<p>sup3r bias correction calculation CLI entry points.</p>
+<p class="rubric">Functions</p>
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+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.bias.bias_calc_cli.kickoff_local_job.html#sup3r.bias.bias_calc_cli.kickoff_local_job" title="sup3r.bias.bias_calc_cli.kickoff_local_job"><code class="xref py py-obj docutils literal notranslate"><span class="pre">kickoff_local_job</span></code></a>(ctx, cmd[, pipeline_step])</p></td>
+<td><p>Run sup3r bias calc locally.</p></td>
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+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.bias.bias_calc_cli.kickoff_slurm_job.html#sup3r.bias.bias_calc_cli.kickoff_slurm_job" title="sup3r.bias.bias_calc_cli.kickoff_slurm_job"><code class="xref py py-obj docutils literal notranslate"><span class="pre">kickoff_slurm_job</span></code></a>(ctx, cmd[, pipeline_step, ...])</p></td>
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+    <h1>sup3r.bias.bias_calc_cli.kickoff_local_job</h1>
+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_cli.kickoff_local_job"><code class="docutils literal notranslate"><span class="pre">kickoff_local_job()</span></code></a></li>
+</ul>
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+  <section id="sup3r-bias-bias-calc-cli-kickoff-local-job">
+<h1>sup3r.bias.bias_calc_cli.kickoff_local_job<a class="headerlink" href="#sup3r-bias-bias-calc-cli-kickoff-local-job" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_cli.kickoff_local_job">
+<span class="sig-name descname"><span class="pre">kickoff_local_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ctx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cmd</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pipeline_step</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc_cli.html#kickoff_local_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc_cli.kickoff_local_job" title="Link to this definition">#</a></dt>
+<dd><p>Run sup3r bias calc locally.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>ctx</strong> (<em>click.pass_context</em>) – Click context object where ctx.obj is a dictionary</p></li>
+<li><p><strong>cmd</strong> (<em>str</em>) –</p>
+<dl class="simple">
+<dt>Command to be submitted in shell script. Example:</dt><dd><p>‘python -m sup3r.cli forward_pass -c &lt;config_file&gt;’</p>
+</dd>
+</dl>
+</li>
+<li><p><strong>pipeline_step</strong> (<em>str, optional</em>) – Name of the pipeline step being run. If <code class="docutils literal notranslate"><span class="pre">None</span></code>, the
+<code class="docutils literal notranslate"><span class="pre">pipeline_step</span></code> will be set to the <code class="docutils literal notranslate"><span class="pre">module_name</span></code>,
+mimicking old reV behavior. By default, <code class="docutils literal notranslate"><span class="pre">None</span></code>.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
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+<h1>sup3r.bias.bias_calc_cli.kickoff_slurm_job<a class="headerlink" href="#sup3r-bias-bias-calc-cli-kickoff-slurm-job" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_cli.kickoff_slurm_job">
+<span class="sig-name descname"><span class="pre">kickoff_slurm_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ctx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cmd</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pipeline_step</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alloc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sup3r'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">memory</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">walltime</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stdout_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'./stdout/'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc_cli.html#kickoff_slurm_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc_cli.kickoff_slurm_job" title="Link to this definition">#</a></dt>
+<dd><p>Run sup3r on HPC via SLURM job submission.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>ctx</strong> (<em>click.pass_context</em>) – Click context object where ctx.obj is a dictionary</p></li>
+<li><p><strong>cmd</strong> (<em>str</em>) –</p>
+<dl class="simple">
+<dt>Command to be submitted in SLURM shell script. Example:</dt><dd><p>‘python -m sup3r.cli forward_pass -c &lt;config_file&gt;’</p>
+</dd>
+</dl>
+</li>
+<li><p><strong>pipeline_step</strong> (<em>str, optional</em>) – Name of the pipeline step being run. If <code class="docutils literal notranslate"><span class="pre">None</span></code>, the
+<code class="docutils literal notranslate"><span class="pre">pipeline_step</span></code> will be set to the <code class="docutils literal notranslate"><span class="pre">module_name</span></code>,
+mimicking old reV behavior. By default, <code class="docutils literal notranslate"><span class="pre">None</span></code>.</p></li>
+<li><p><strong>alloc</strong> (<em>str</em>) – HPC project (allocation) handle. Example: ‘sup3r’.</p></li>
+<li><p><strong>memory</strong> (<em>int</em>) – Node memory request in GB.</p></li>
+<li><p><strong>walltime</strong> (<em>float</em>) – Node walltime request in hours.</p></li>
+<li><p><strong>feature</strong> (<em>str</em>) – Additional flags for SLURM job. Format is “–qos=high”
+or “–depend=[state:job_id]”. Default is None.</p></li>
+<li><p><strong>stdout_path</strong> (<em>str</em>) – Path to print .stdout and .stderr files.</p></li>
+</ul>
+</dd>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_cli.kickoff_slurm_job"><code class="docutils literal notranslate"><span class="pre">kickoff_slurm_job()</span></code></a></li>
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+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.BiasCorrectUpdate"><code class="docutils literal notranslate"><span class="pre">BiasCorrectUpdate</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.get_bc_factors"><code class="docutils literal notranslate"><span class="pre">BiasCorrectUpdate.get_bc_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.update_file"><code class="docutils literal notranslate"><span class="pre">BiasCorrectUpdate.update_file()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.run"><code class="docutils literal notranslate"><span class="pre">BiasCorrectUpdate.run()</span></code></a></li>
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+  <section id="sup3r-bias-bias-calc-vortex-biascorrectupdate">
+<h1>sup3r.bias.bias_calc_vortex.BiasCorrectUpdate<a class="headerlink" href="#sup3r-bias-bias-calc-vortex-biascorrectupdate" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.BiasCorrectUpdate">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">BiasCorrectUpdate</span></span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc_vortex.html#BiasCorrectUpdate"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.BiasCorrectUpdate" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<p>Class for bias correcting existing files and writing corrected files.</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.get_bc_factors" title="sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.get_bc_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_bc_factors</span></code></a>(bc_file, dset, month[, ...])</p></td>
+<td><p>Get bias correction factors for the given dset and month</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.run" title="sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.run"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run</span></code></a>(in_file, out_file, dset, bc_file[, ...])</p></td>
+<td><p>Run bias correction update.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.update_file" title="sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.update_file"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_file</span></code></a>(in_file, out_file, dset, bc_file)</p></td>
+<td><p>Update the in_file with bias corrected values for the given dset and write to out_file.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.get_bc_factors">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_bc_factors</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bc_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">month</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">global_scalar</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc_vortex.html#BiasCorrectUpdate.get_bc_factors"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.get_bc_factors" title="Link to this definition">#</a></dt>
+<dd><p>Get bias correction factors for the given dset and month</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>bc_file</strong> (<em>str</em>) – Name of h5 file containing bias correction factors</p></li>
+<li><p><strong>dset</strong> (<em>str</em>) – Name of dataset to apply bias correction factors for</p></li>
+<li><p><strong>month</strong> (<em>int</em>) – Index of month to bias correct</p></li>
+<li><p><strong>global_scalar</strong> (<em>float</em>) – Optional global scalar to multiply all bias correction
+factors. This can be used to improve systemic bias against
+observation data.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>factors</strong> (<em>ndarray</em>) – Array of bias correction factors for the given dset and month.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.update_file">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">update_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">in_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bc_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">global_scalar</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc_vortex.html#BiasCorrectUpdate.update_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.update_file" title="Link to this definition">#</a></dt>
+<dd><p>Update the in_file with bias corrected values for the given dset
+and write to out_file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>in_file</strong> (<em>str</em>) – Name of h5 file containing data to bias correct</p></li>
+<li><p><strong>out_file</strong> (<em>str</em>) – Name of h5 file containing bias corrected data</p></li>
+<li><p><strong>dset</strong> (<em>str</em>) – Name of dataset to bias correct</p></li>
+<li><p><strong>bc_file</strong> (<em>str</em>) – Name of file containing bias correction factors for the given dset</p></li>
+<li><p><strong>global_scalar</strong> (<em>float</em>) – Optional global scalar to multiply all bias correction
+factors. This can be used to improve systemic bias against
+observation data.</p></li>
+<li><p><strong>max_workers</strong> (<em>int | None</em>) – Number of workers to use for parallel processing.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.run">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">in_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bc_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">overwrite</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">global_scalar</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc_vortex.html#BiasCorrectUpdate.run"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.run" title="Link to this definition">#</a></dt>
+<dd><p>Run bias correction update.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>in_file</strong> (<em>str</em>) – Name of h5 file containing data to bias correct</p></li>
+<li><p><strong>out_file</strong> (<em>str</em>) – Name of h5 file containing bias corrected data</p></li>
+<li><p><strong>dset</strong> (<em>str</em>) – Name of dataset to bias correct</p></li>
+<li><p><strong>bc_file</strong> (<em>str</em>) – Name of file containing bias correction factors for the given dset</p></li>
+<li><p><strong>overwrite</strong> (<em>bool</em>) – Whether to overwrite the output file if it already exists.</p></li>
+<li><p><strong>global_scalar</strong> (<em>float</em>) – Optional global scalar to multiply all bias correction
+factors. This can be used to improve systemic bias against
+observation data.</p></li>
+<li><p><strong>max_workers</strong> (<em>int | None</em>) – Number of workers to use for parallel processing.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.BiasCorrectUpdate"><code class="docutils literal notranslate"><span class="pre">BiasCorrectUpdate</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.get_bc_factors"><code class="docutils literal notranslate"><span class="pre">BiasCorrectUpdate.get_bc_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.update_file"><code class="docutils literal notranslate"><span class="pre">BiasCorrectUpdate.update_file()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.run"><code class="docutils literal notranslate"><span class="pre">BiasCorrectUpdate.run()</span></code></a></li>
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+    <h1>sup3r.bias.bias_calc_vortex.VortexMeanPrepper</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.in_features"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.in_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.out_features"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_input_file"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.get_input_file()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_height_files"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.get_height_files()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.input_files"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.input_files</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_output_file"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.get_output_file()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.output_files"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.output_files</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.convert_month_height_tif"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.convert_month_height_tif()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.convert_month_tif"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.convert_month_tif()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.convert_all_tifs"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.convert_all_tifs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.mask"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.mask</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_month"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.get_month()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.interp"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.interp()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_lat_lon"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.get_lat_lon()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.meta"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.time_index"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.time_index</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_all_data"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.get_all_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.global_attrs"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.global_attrs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.write_data"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.write_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.run"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.run()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-bias-bias-calc-vortex-vortexmeanprepper">
+<h1>sup3r.bias.bias_calc_vortex.VortexMeanPrepper<a class="headerlink" href="#sup3r-bias-bias-calc-vortex-vortexmeanprepper" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.VortexMeanPrepper">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">VortexMeanPrepper</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path_pattern</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">in_heights</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_heights</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">overwrite</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc_vortex.html#VortexMeanPrepper"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<p>Class for converting monthly vortex tif files for each height to a
+single h5 files containing all monthly means for all requested output
+heights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>path_pattern</strong> (<em>str</em>) – Pattern for input tif files. Needs to include {month} and {height}
+format keys.</p></li>
+<li><p><strong>in_heights</strong> (<em>list</em>) – List of heights for input files.</p></li>
+<li><p><strong>out_heights</strong> (<em>list</em>) – List of output heights used for interpolation</p></li>
+<li><p><strong>overwrite</strong> (<em>bool</em>) – Whether to overwrite intermediate netcdf files containing the
+interpolated masked monthly means.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.convert_all_tifs" title="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.convert_all_tifs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">convert_all_tifs</span></code></a>()</p></td>
+<td><p>Write netcdf files for all heights for all months.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.convert_month_height_tif" title="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.convert_month_height_tif"><code class="xref py py-obj docutils literal notranslate"><span class="pre">convert_month_height_tif</span></code></a>(month, height)</p></td>
+<td><p>Get windspeed mean for the given month and hub height from the corresponding input file and write this to a netcdf file.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.convert_month_tif" title="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.convert_month_tif"><code class="xref py py-obj docutils literal notranslate"><span class="pre">convert_month_tif</span></code></a>(month)</p></td>
+<td><p>Write netcdf files for all heights for the given month.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_all_data" title="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_all_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_all_data</span></code></a>()</p></td>
+<td><p>Get interpolated monthly means for all out heights as a dictionary to use for h5 writing.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_height_files" title="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_height_files"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_height_files</span></code></a>(month)</p></td>
+<td><p>Get set of netcdf files for given month</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_input_file" title="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_input_file"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_input_file</span></code></a>(month, height)</p></td>
+<td><p>Get vortex tif file for given month and height.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_lat_lon" title="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_lat_lon"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_lat_lon</span></code></a>()</p></td>
+<td><p>Get lat lon grid</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_month" title="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_month"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_month</span></code></a>(month)</p></td>
+<td><p>Get interpolated means for all hub heights for the given month.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_output_file" title="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_output_file"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_output_file</span></code></a>(month)</p></td>
+<td><p>Get name of netcdf file for a given month.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.interp" title="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.interp"><code class="xref py py-obj docutils literal notranslate"><span class="pre">interp</span></code></a>(data)</p></td>
+<td><p>Interpolate data to requested output heights.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.run" title="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.run"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run</span></code></a>(path_pattern, in_heights, out_heights, ...)</p></td>
+<td><p>Read vortex tif files, convert these to monthly netcdf files for all input heights, interpolate this data to requested output heights, mask fill values, and write all data to h5 file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.write_data" title="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.write_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_data</span></code></a>(fp_out, out)</p></td>
+<td><p>Write monthly means for all heights to h5 file</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.global_attrs" title="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.global_attrs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">global_attrs</span></code></a></p></td>
+<td><p>Get dictionary on how this data is prepared</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.in_features" title="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.in_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">in_features</span></code></a></p></td>
+<td><p>List of features corresponding to input heights.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.input_files" title="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.input_files"><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_files</span></code></a></p></td>
+<td><p>Get list of all input files used for h5 meta.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.mask" title="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mask</span></code></a></p></td>
+<td><p>Mask coordinates without data</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.meta" title="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meta</span></code></a></p></td>
+<td><p>Get meta with latitude/longitude</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.out_features" title="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.out_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">out_features</span></code></a></p></td>
+<td><p>List of features corresponding to output heights</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.output_files" title="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.output_files"><code class="xref py py-obj docutils literal notranslate"><span class="pre">output_files</span></code></a></p></td>
+<td><p>List of output monthly output files each with windspeed for all input heights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.time_index" title="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.time_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">time_index</span></code></a></p></td>
+<td><p>Get time index so output conforms to standard format</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.in_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">in_features</span></span><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.in_features" title="Link to this definition">#</a></dt>
+<dd><p>List of features corresponding to input heights.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.out_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">out_features</span></span><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.out_features" title="Link to this definition">#</a></dt>
+<dd><p>List of features corresponding to output heights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_input_file">
+<span class="sig-name descname"><span class="pre">get_input_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">month</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">height</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc_vortex.html#VortexMeanPrepper.get_input_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_input_file" title="Link to this definition">#</a></dt>
+<dd><p>Get vortex tif file for given month and height.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_height_files">
+<span class="sig-name descname"><span class="pre">get_height_files</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">month</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc_vortex.html#VortexMeanPrepper.get_height_files"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_height_files" title="Link to this definition">#</a></dt>
+<dd><p>Get set of netcdf files for given month</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.input_files">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">input_files</span></span><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.input_files" title="Link to this definition">#</a></dt>
+<dd><p>Get list of all input files used for h5 meta.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_output_file">
+<span class="sig-name descname"><span class="pre">get_output_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">month</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc_vortex.html#VortexMeanPrepper.get_output_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_output_file" title="Link to this definition">#</a></dt>
+<dd><p>Get name of netcdf file for a given month.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.output_files">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_files</span></span><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.output_files" title="Link to this definition">#</a></dt>
+<dd><p>List of output monthly output files each with windspeed for all
+input heights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.convert_month_height_tif">
+<span class="sig-name descname"><span class="pre">convert_month_height_tif</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">month</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">height</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc_vortex.html#VortexMeanPrepper.convert_month_height_tif"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.convert_month_height_tif" title="Link to this definition">#</a></dt>
+<dd><p>Get windspeed mean for the given month and hub height from the
+corresponding input file and write this to a netcdf file.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.convert_month_tif">
+<span class="sig-name descname"><span class="pre">convert_month_tif</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">month</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc_vortex.html#VortexMeanPrepper.convert_month_tif"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.convert_month_tif" title="Link to this definition">#</a></dt>
+<dd><p>Write netcdf files for all heights for the given month.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.convert_all_tifs">
+<span class="sig-name descname"><span class="pre">convert_all_tifs</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc_vortex.html#VortexMeanPrepper.convert_all_tifs"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.convert_all_tifs" title="Link to this definition">#</a></dt>
+<dd><p>Write netcdf files for all heights for all months.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.mask">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">mask</span></span><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.mask" title="Link to this definition">#</a></dt>
+<dd><p>Mask coordinates without data</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_month">
+<span class="sig-name descname"><span class="pre">get_month</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">month</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc_vortex.html#VortexMeanPrepper.get_month"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_month" title="Link to this definition">#</a></dt>
+<dd><p>Get interpolated means for all hub heights for the given month.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>month</strong> (<em>str</em>) – Name of month to get data for</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>data</strong> (<em>xarray.Dataset</em>) – xarray dataset object containing interpolated monthly windspeed
+means for all input and output heights</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.interp">
+<span class="sig-name descname"><span class="pre">interp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc_vortex.html#VortexMeanPrepper.interp"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.interp" title="Link to this definition">#</a></dt>
+<dd><p>Interpolate data to requested output heights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>data</strong> (<em>xarray.Dataset</em>) – xarray dataset object containing windspeed for all input heights</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>data</strong> (<em>xarray.Dataset</em>) – xarray dataset object containing windspeed for all input and output
+heights</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_lat_lon">
+<span class="sig-name descname"><span class="pre">get_lat_lon</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc_vortex.html#VortexMeanPrepper.get_lat_lon"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_lat_lon" title="Link to this definition">#</a></dt>
+<dd><p>Get lat lon grid</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.meta">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">meta</span></span><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.meta" title="Link to this definition">#</a></dt>
+<dd><p>Get meta with latitude/longitude</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.time_index">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">time_index</span></span><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.time_index" title="Link to this definition">#</a></dt>
+<dd><p>Get time index so output conforms to standard format</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_all_data">
+<span class="sig-name descname"><span class="pre">get_all_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc_vortex.html#VortexMeanPrepper.get_all_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_all_data" title="Link to this definition">#</a></dt>
+<dd><p>Get interpolated monthly means for all out heights as a dictionary
+to use for h5 writing.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>out</strong> (<em>dict</em>) – Dictionary of arrays containing monthly means for each hub height.
+Also includes latitude and longitude. Spatial dimensions are
+flattened</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.global_attrs">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">global_attrs</span></span><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.global_attrs" title="Link to this definition">#</a></dt>
+<dd><p>Get dictionary on how this data is prepared</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.write_data">
+<span class="sig-name descname"><span class="pre">write_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fp_out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc_vortex.html#VortexMeanPrepper.write_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.write_data" title="Link to this definition">#</a></dt>
+<dd><p>Write monthly means for all heights to h5 file</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.run">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path_pattern</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">in_heights</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_heights</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fp_out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">overwrite</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_calc_vortex.html#VortexMeanPrepper.run"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.run" title="Link to this definition">#</a></dt>
+<dd><p>Read vortex tif files, convert these to monthly netcdf files for all
+input heights, interpolate this data to requested output heights, mask
+fill values, and write all data to h5 file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>path_pattern</strong> (<em>str</em>) – Pattern for input tif files. Needs to include {month} and {height}
+format keys.</p></li>
+<li><p><strong>in_heights</strong> (<em>list</em>) – List of heights for input files.</p></li>
+<li><p><strong>out_heights</strong> (<em>list</em>) – List of output heights used for interpolation</p></li>
+<li><p><strong>fp_out</strong> (<em>str</em>) – Name of final h5 output file to write with means.</p></li>
+<li><p><strong>overwrite</strong> (<em>bool</em>) – Whether to overwrite intermediate netcdf files containing the
+interpolated masked monthly means.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
+                  
+<div class="prev-next-area">
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+        <p class="prev-next-subtitle">previous</p>
+        <p class="prev-next-title">sup3r.bias.bias_calc_vortex.BiasCorrectUpdate</p>
+      </div>
+    </a>
+    <a class="right-next"
+       href="sup3r.bias.bias_transforms.html"
+       title="next page">
+      <div class="prev-next-info">
+        <p class="prev-next-subtitle">next</p>
+        <p class="prev-next-title">sup3r.bias.bias_transforms</p>
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+                <div id="pst-secondary-sidebar" class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
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+  <div class="sidebar-secondary-item">
+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.in_features"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.in_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.out_features"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_input_file"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.get_input_file()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_height_files"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.get_height_files()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.input_files"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.input_files</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_output_file"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.get_output_file()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.output_files"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.output_files</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.convert_month_height_tif"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.convert_month_height_tif()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.convert_month_tif"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.convert_month_tif()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.convert_all_tifs"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.convert_all_tifs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.mask"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.mask</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_month"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.get_month()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.interp"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.interp()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_lat_lon"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.get_lat_lon()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.meta"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.time_index"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.time_index</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_all_data"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.get_all_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.global_attrs"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.global_attrs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.write_data"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.write_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.run"><code class="docutils literal notranslate"><span class="pre">VortexMeanPrepper.run()</span></code></a></li>
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+  <section id="module-sup3r.bias.bias_calc_vortex">
+<span id="sup3r-bias-bias-calc-vortex"></span><h1>sup3r.bias.bias_calc_vortex<a class="headerlink" href="#module-sup3r.bias.bias_calc_vortex" title="Link to this heading">#</a></h1>
+<p>Classes to compute means from vortex and era data and compute bias
+correction factors.</p>
+<p>Vortex mean files can be downloaded from IRENA.
+<a class="reference external" href="https://globalatlas.irena.org/workspace">https://globalatlas.irena.org/workspace</a></p>
+<p class="rubric">Classes</p>
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+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.html#sup3r.bias.bias_calc_vortex.BiasCorrectUpdate" title="sup3r.bias.bias_calc_vortex.BiasCorrectUpdate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BiasCorrectUpdate</span></code></a>()</p></td>
+<td><p>Class for bias correcting existing files and writing corrected files.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper" title="sup3r.bias.bias_calc_vortex.VortexMeanPrepper"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VortexMeanPrepper</span></code></a>(path_pattern, in_heights, ...)</p></td>
+<td><p>Class for converting monthly vortex tif files for each height to a single h5 files containing all monthly means for all requested output heights.</p></td>
+</tr>
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+  <section id="sup3r-bias-bias-transforms-global-linear-bc">
+<h1>sup3r.bias.bias_transforms.global_linear_bc<a class="headerlink" href="#sup3r-bias-bias-transforms-global-linear-bc" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.bias.bias_transforms.global_linear_bc">
+<span class="sig-name descname"><span class="pre">global_linear_bc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scalar</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adder</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_range</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_transforms.html#global_linear_bc"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_transforms.global_linear_bc" title="Link to this definition">#</a></dt>
+<dd><p>Bias correct data using a simple global <a href="#id1"><span class="problematic" id="id2">*</span></a>scalar +adder method.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>np.ndarray</em>) – Sup3r input data to be bias corrected, assumed to be 3D with shape
+(spatial, spatial, temporal) for a single feature.</p></li>
+<li><p><strong>scalar</strong> (<em>float</em>) – Scalar (multiplicative) value to apply to input data.</p></li>
+<li><p><strong>adder</strong> (<em>float</em>) – Adder value to apply to input data.</p></li>
+<li><p><strong>out_range</strong> (<em>None | tuple</em>) – Option to set floor/ceiling values on the output data.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>np.ndarray</em>) – out = data * scalar + adder</p>
+</dd>
+</dl>
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+    <h1>sup3r.bias.bias_transforms</h1>
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+  <section id="module-sup3r.bias.bias_transforms">
+<span id="sup3r-bias-bias-transforms"></span><h1>sup3r.bias.bias_transforms<a class="headerlink" href="#module-sup3r.bias.bias_transforms" title="Link to this heading">#</a></h1>
+<p>Bias correction transformation functions.</p>
+<p>TODO: These methods need to be refactored to use lazy calculations. They
+currently slow down the forward pass runs when operating on full input data
+volume.</p>
+<p>We should write bc factor files in a format compatible with Loaders /
+Rasterizers so we can use those class methods to match factors with locations</p>
+<p class="rubric">Functions</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.bias.bias_transforms.global_linear_bc.html#sup3r.bias.bias_transforms.global_linear_bc" title="sup3r.bias.bias_transforms.global_linear_bc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">global_linear_bc</span></code></a>(data, scalar, adder[, ...])</p></td>
+<td><p>Bias correct data using a simple global <a href="#id1"><span class="problematic" id="id2">*</span></a>scalar +adder method.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.bias.bias_transforms.local_linear_bc.html#sup3r.bias.bias_transforms.local_linear_bc" title="sup3r.bias.bias_transforms.local_linear_bc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">local_linear_bc</span></code></a>(data, lat_lon, feature_name, ...)</p></td>
+<td><p>Bias correct data using a simple annual (or multi-year) <a href="#id3"><span class="problematic" id="id4">*</span></a>scalar +adder method on a site-by-site basis.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.bias.bias_transforms.local_presrat_bc.html#sup3r.bias.bias_transforms.local_presrat_bc" title="sup3r.bias.bias_transforms.local_presrat_bc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">local_presrat_bc</span></code></a>(data, lat_lon, base_dset, ...)</p></td>
+<td><p>Bias correction using PresRat</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.bias.bias_transforms.local_qdm_bc.html#sup3r.bias.bias_transforms.local_qdm_bc" title="sup3r.bias.bias_transforms.local_qdm_bc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">local_qdm_bc</span></code></a>(data, lat_lon, base_dset, ...)</p></td>
+<td><p>Bias correction using QDM</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.bias.bias_transforms.monthly_local_linear_bc.html#sup3r.bias.bias_transforms.monthly_local_linear_bc" title="sup3r.bias.bias_transforms.monthly_local_linear_bc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">monthly_local_linear_bc</span></code></a>(data, lat_lon, ...)</p></td>
+<td><p>Bias correct data using a simple monthly <a href="#id5"><span class="problematic" id="id6">*</span></a>scalar +adder method on a site-by-site basis.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+
+
+                </article>
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+  <section id="sup3r-bias-bias-transforms-local-linear-bc">
+<h1>sup3r.bias.bias_transforms.local_linear_bc<a class="headerlink" href="#sup3r-bias-bias-transforms-local-linear-bc" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.bias.bias_transforms.local_linear_bc">
+<span class="sig-name descname"><span class="pre">local_linear_bc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lat_lon</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_fp</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lr_padded_slice</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_range</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_transforms.html#local_linear_bc"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_transforms.local_linear_bc" title="Link to this definition">#</a></dt>
+<dd><p>Bias correct data using a simple annual (or multi-year) <a href="#id1"><span class="problematic" id="id2">*</span></a>scalar +adder
+method on a site-by-site basis.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>np.ndarray</em>) – Sup3r input data to be bias corrected, assumed to be 3D with shape
+(spatial, spatial, temporal) for a single feature.</p></li>
+<li><p><strong>lat_lon</strong> (<em>ndarray</em>) – Array of latitudes and longitudes for the domain to bias correct
+(n_lats, n_lons, 2)</p></li>
+<li><p><strong>feature_name</strong> (<em>str</em>) – Name of feature that is being corrected. Datasets with names
+“{feature_name}_scalar” and “{feature_name}_adder” will be retrieved
+from bias_fp.</p></li>
+<li><p><strong>bias_fp</strong> (<em>str</em>) – Filepath to bias correction file from the bias calc module. Must have
+datasets “{feature_name}_scalar” and “{feature_name}_adder” that are
+the full low-resolution shape of the forward pass input that will be
+sliced using lr_padded_slice for the current chunk.</p></li>
+<li><p><strong>lr_padded_slice</strong> (<em>tuple | None</em>) – Tuple of length four that slices (spatial_1, spatial_2, temporal,
+features) where each tuple entry is a slice object for that axes.
+Note that if this method is called as part of a sup3r forward pass, the
+lr_padded_slice will be included in the kwargs for the active chunk.
+If this is None, no slicing will be done and the full bias correction
+source shape will be used.</p></li>
+<li><p><strong>out_range</strong> (<em>None | tuple</em>) – Option to set floor/ceiling values on the output data.</p></li>
+<li><p><strong>smoothing</strong> (<em>float</em>) – Value to use to smooth the scalar/adder data. This can reduce the
+effect of extreme values within aggregations over large number of
+pixels.  This value is the standard deviation for the gaussian_filter
+kernel.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>np.ndarray</em>) – out = data * scalar + adder</p>
+</dd>
+</dl>
+</dd></dl>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_transforms.local_linear_bc"><code class="docutils literal notranslate"><span class="pre">local_linear_bc()</span></code></a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_transforms.local_presrat_bc"><code class="docutils literal notranslate"><span class="pre">local_presrat_bc()</span></code></a></li>
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+  <section id="sup3r-bias-bias-transforms-local-presrat-bc">
+<h1>sup3r.bias.bias_transforms.local_presrat_bc<a class="headerlink" href="#sup3r-bias-bias-transforms-local-presrat-bc" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.bias.bias_transforms.local_presrat_bc">
+<span class="sig-name descname"><span class="pre">local_presrat_bc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lat_lon</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_fp</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">date_range_kwargs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lr_padded_slice</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relative</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">no_trend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">delta_denom_min</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">delta_range</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k_range</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_range</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_transforms.html#local_presrat_bc"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_transforms.local_presrat_bc" title="Link to this definition">#</a></dt>
+<dd><p>Bias correction using PresRat</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>np.ndarray</em>) – Sup3r input data to be bias corrected, assumed to be 3D with shape
+(spatial, spatial, temporal) for a single feature.</p></li>
+<li><p><strong>lat_lon</strong> (<em>np.ndarray</em>) – Array of latitudes and longitudes for the domain to bias correct
+(n_lats, n_lons, 2)</p></li>
+<li><p><strong>base_dset</strong> – Name of feature that is used as (historical) reference. Dataset with
+names “base_{base_dset}_params” will be retrieved.</p></li>
+<li><p><strong>feature_name</strong> (<em>str</em>) – Name of feature that is being corrected. Datasets with names
+“bias_{feature_name}_params” and “bias_fut_{feature_name}_params” will
+be retrieved.</p></li>
+<li><p><strong>bias_fp</strong> (<em>str</em>) – Filepath to statistical distributions file from the bias calc module.
+Must have datasets “bias_{feature_name}_params”,
+“bias_fut_{feature_name}_params”, and “base_{base_dset}_params” that
+are the parameters to define the statistical distributions to be used
+to correct the given <cite>data</cite>.</p></li>
+<li><p><strong>date_range_kwargs</strong> (<em>dict</em>) – Keyword args for pd.date_range to produce a DatetimeIndex object
+associated with the input data temporal axis (assumed 3rd axis e.g.
+axis=2). Note that if this method is called as part of a sup3r
+resolution forward pass, the date_range_kwargs will be included
+automatically for the current chunk.</p></li>
+<li><p><strong>lr_padded_slice</strong> (<em>tuple | None</em>) – Tuple of length four that slices (spatial_1, spatial_2, temporal,
+features) where each tuple entry is a slice object for that axes.
+Note that if this method is called as part of a sup3r forward pass, the
+lr_padded_slice will be included automatically in the kwargs for the
+active chunk. If this is None, no slicing will be done and the full
+bias correction source shape will be used.</p></li>
+<li><p><strong>threshold</strong> (<em>float</em>) – Nearest neighbor euclidean distance threshold. If the coordinates are
+more than this value away from the bias correction lat/lon, an error
+is raised.</p></li>
+<li><p><strong>relative</strong> (<em>bool</em>) – Apply QDM correction as a relative factor (product), otherwise, it is
+applied as an offset (sum).</p></li>
+<li><p><strong>no_trend</strong> (<em>bool, default=False</em>) – An option to ignore the trend component of the correction, thus
+resulting in an ordinary Quantile Mapping, i.e. corrects the bias by
+comparing the distributions of the biased dataset with a reference
+datasets, without reinforcing the zero rate or applying the k-factor.
+See <code class="docutils literal notranslate"><span class="pre">params_mf</span></code> of
+<code class="xref py py-class docutils literal notranslate"><span class="pre">rex.utilities.bc_utils.QuantileDeltaMapping</span></code>. Note that this
+assumes that params_mh is the data distribution representative for the
+target data.</p></li>
+<li><p><strong>delta_denom_min</strong> (<em>float | None</em>) – Option to specify a minimum value for the denominator term in the
+calculation of a relative delta value. This prevents division by a
+very small number making delta blow up and resulting in very large
+output bias corrected values. See equation 4 of Cannon et al., 2015
+for the delta term. If this is not set, the <code class="docutils literal notranslate"><span class="pre">zero_rate_threshold</span></code>
+calculated as part of the presrat bias calculation will be used</p></li>
+<li><p><strong>delta_range</strong> (<em>tuple | None</em>) – Option to set a (min, max) on the delta term in QDM. This can help
+prevent QDM from making non-realistic increases/decreases in
+otherwise physical values. See equation 4 of Cannon et al., 2015 for
+the delta term.</p></li>
+<li><p><strong>k_range</strong> (<em>tuple | None</em>) – Option to set a (min, max) value for the k-factor multiplier</p></li>
+<li><p><strong>out_range</strong> (<em>None | tuple</em>) – Option to set floor/ceiling values on the output data.</p></li>
+<li><p><strong>max_workers</strong> (<em>int | None</em>) – Max number of workers to use for QDM process pool</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_transforms.local_presrat_bc"><code class="docutils literal notranslate"><span class="pre">local_presrat_bc()</span></code></a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_transforms.local_qdm_bc"><code class="docutils literal notranslate"><span class="pre">local_qdm_bc()</span></code></a></li>
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+  <section id="sup3r-bias-bias-transforms-local-qdm-bc">
+<h1>sup3r.bias.bias_transforms.local_qdm_bc<a class="headerlink" href="#sup3r-bias-bias-transforms-local-qdm-bc" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.bias.bias_transforms.local_qdm_bc">
+<span class="sig-name descname"><span class="pre">local_qdm_bc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lat_lon</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_fp</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">date_range_kwargs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lr_padded_slice</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relative</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">no_trend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">delta_denom_min</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">delta_denom_zero</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">delta_range</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_range</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_transforms.html#local_qdm_bc"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_transforms.local_qdm_bc" title="Link to this definition">#</a></dt>
+<dd><p>Bias correction using QDM</p>
+<p>Apply QDM to correct bias on the given data. It assumes that the required
+statistical distributions were previously estimated and saved in
+<code class="docutils literal notranslate"><span class="pre">bias_fp</span></code>.</p>
+<p>Assume CDF for the nearest day of year (doy) is representative.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – Sup3r input data to be bias corrected, assumed to be 3D with shape
+(spatial, spatial, temporal) for a single feature.</p></li>
+<li><p><strong>lat_lon</strong> (<em>np.ndarray</em>) – Array of latitudes and longitudes for the domain to bias correct
+(n_lats, n_lons, 2)</p></li>
+<li><p><strong>base_dset</strong> – Name of feature that is used as (historical) reference. Dataset with
+names “base_{base_dset}_params” will be retrieved.</p></li>
+<li><p><strong>feature_name</strong> (<em>str</em>) – Name of feature that is being corrected. Datasets with names
+“bias_{feature_name}_params” and “bias_fut_{feature_name}_params” will
+be retrieved.</p></li>
+<li><p><strong>date_range_kwargs</strong> (<em>dict</em>) – Keyword args for pd.date_range to produce a DatetimeIndex object
+associated with the input data temporal axis (assumed 3rd axis e.g.
+axis=2). Note that if this method is called as part of a sup3r
+resolution forward pass, the date_range_kwargs will be included
+automatically for the current chunk.</p></li>
+<li><p><strong>bias_fp</strong> (<em>str</em>) – Filepath to statistical distributions file from the bias calc module.
+Must have datasets “bias_{feature_name}_params”,
+“bias_fut_{feature_name}_params”, and “base_{base_dset}_params” that
+are the parameters to define the statistical distributions to be used
+to correct the given <cite>data</cite>.</p></li>
+<li><p><strong>lr_padded_slice</strong> (<em>tuple | None</em>) – Tuple of length four that slices (spatial_1, spatial_2, temporal,
+features) where each tuple entry is a slice object for that axes.
+Note that if this method is called as part of a sup3r forward pass, the
+lr_padded_slice will be included automatically in the kwargs for the
+active chunk. If this is None, no slicing will be done and the full
+bias correction source shape will be used.</p></li>
+<li><p><strong>no_trend</strong> (<em>bool, default=False</em>) – An option to ignore the trend component of the correction, thus
+resulting in an ordinary Quantile Mapping, i.e. corrects the bias by
+comparing the distributions of the biased dataset with a reference
+datasets. See
+<code class="docutils literal notranslate"><span class="pre">params_mf</span></code> of <code class="xref py py-class docutils literal notranslate"><span class="pre">rex.utilities.bc_utils.QuantileDeltaMapping</span></code>.
+Note that this assumes that params_mh is the data distribution
+representative for the target data.</p></li>
+<li><p><strong>delta_denom_min</strong> (<em>float | None</em>) – Option to specify a minimum value for the denominator term in the
+calculation of a relative delta value. This prevents division by a
+very small number making delta blow up and resulting in very large
+output bias corrected values. See equation 4 of Cannon et al., 2015
+for the delta term.</p></li>
+<li><p><strong>delta_denom_zero</strong> (<em>float | None</em>) – Option to specify a value to replace zeros in the denominator term
+in the calculation of a relative delta value. This prevents
+division by a very small number making delta blow up and resulting
+in very large output bias corrected values. See equation 4 of
+Cannon et al., 2015 for the delta term.</p></li>
+<li><p><strong>delta_range</strong> (<em>tuple | None</em>) – Option to set a (min, max) on the delta term in QDM. This can help
+prevent QDM from making non-realistic increases/decreases in
+otherwise physical values. See equation 4 of Cannon et al., 2015 for
+the delta term.</p></li>
+<li><p><strong>out_range</strong> (<em>None | tuple</em>) – Option to set floor/ceiling values on the output data.</p></li>
+<li><p><strong>max_workers</strong> (<em>int | None</em>) – Max number of workers to use for QDM process pool</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>np.ndarray</em>) – The input data corrected by QDM. Its shape is the same of the input
+(spatial, spatial, time_window, temporal). The dimension time_window
+aligns with the number of time windows defined in a year, while
+temporal aligns with the time of the data.</p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<dl class="simple">
+<dt><a class="reference internal" href="sup3r.bias.qdm.QuantileDeltaMappingCorrection.html#sup3r.bias.qdm.QuantileDeltaMappingCorrection" title="sup3r.bias.qdm.QuantileDeltaMappingCorrection"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sup3r.bias.qdm.QuantileDeltaMappingCorrection</span></code></a></dt><dd><p>Estimate probability distributions required by QDM method</p>
+</dd>
+</dl>
+</div>
+<p class="rubric">Notes</p>
+<p>Be careful selecting <cite>bias_fp</cite>. Usually, the input <cite>data</cite> used here would
+be related to the dataset used to estimate
+“bias_fut_{feature_name}_params”.</p>
+<p>Keeping arguments as consistent as possible with <cite>local_linear_bc()</cite>, thus
+a 4D data (spatial, spatial, time_window, temporal), and lat_lon (n_lats,
+n_lons, [lat, lon]). But <cite>QuantileDeltaMapping()</cite>, from rex library,
+expects an array, (time, space), thus we need to re-organize our input to
+match that, and in the end bring it back to (spatial, spatial, time_window,
+temporal). This is still better than maintaining the same functionality
+consistent in two libraries.</p>
+<p>Also, <code class="xref py py-class docutils literal notranslate"><span class="pre">rex.utilities.bc_utils.QuantileDeltaMapping</span></code> expects params
+to be 2D (space, N-params).</p>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<dl class="simple">
+<dt><code class="xref py py-obj docutils literal notranslate"><span class="pre">rex.utilities.bc_utils.QuantileDeltaMapping</span></code></dt><dd><p>Core QDM transformation.</p>
+</dd>
+</dl>
+</div>
+<p class="rubric">Examples</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">unbiased</span> <span class="o">=</span> <span class="n">local_qdm_bc</span><span class="p">(</span><span class="n">biased_array</span><span class="p">,</span> <span class="n">lat_lon_array</span><span class="p">,</span> <span class="s2">&quot;ghi&quot;</span><span class="p">,</span> <span class="s2">&quot;rsds&quot;</span><span class="p">,</span>
+<span class="gp">... </span>                        <span class="s2">&quot;./dist_params.hdf&quot;</span><span class="p">)</span>
+</pre></div>
+</div>
+</dd></dl>
+
+</section>
+
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+    <h1>sup3r.bias.bias_transforms.monthly_local_linear_bc</h1>
+    <!-- Table of contents -->
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+            
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+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_transforms.monthly_local_linear_bc"><code class="docutils literal notranslate"><span class="pre">monthly_local_linear_bc()</span></code></a></li>
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+  <section id="sup3r-bias-bias-transforms-monthly-local-linear-bc">
+<h1>sup3r.bias.bias_transforms.monthly_local_linear_bc<a class="headerlink" href="#sup3r-bias-bias-transforms-monthly-local-linear-bc" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.bias.bias_transforms.monthly_local_linear_bc">
+<span class="sig-name descname"><span class="pre">monthly_local_linear_bc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lat_lon</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_fp</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">date_range_kwargs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lr_padded_slice</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_avg</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_range</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scalar_range</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adder_range</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/bias_transforms.html#monthly_local_linear_bc"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.bias_transforms.monthly_local_linear_bc" title="Link to this definition">#</a></dt>
+<dd><p>Bias correct data using a simple monthly <a href="#id1"><span class="problematic" id="id2">*</span></a>scalar +adder method on a
+site-by-site basis.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>np.ndarray</em>) – Sup3r input data to be bias corrected, assumed to be 3D with shape
+(spatial, spatial, temporal) for a single feature.</p></li>
+<li><p><strong>lat_lon</strong> (<em>ndarray</em>) – Array of latitudes and longitudes for the domain to bias correct
+(n_lats, n_lons, 2)</p></li>
+<li><p><strong>feature_name</strong> (<em>str</em>) – Name of feature that is being corrected. Datasets with names
+“{feature_name}_scalar” and “{feature_name}_adder” will be retrieved
+from bias_fp.</p></li>
+<li><p><strong>bias_fp</strong> (<em>str</em>) – Filepath to bias correction file from the bias calc module. Must have
+datasets “{feature_name}_scalar” and “{feature_name}_adder” that are
+the full low-resolution shape of the forward pass input that will be
+sliced using lr_padded_slice for the current chunk.</p></li>
+<li><p><strong>date_range_kwargs</strong> (<em>dict</em>) – Keyword args for pd.date_range to produce a DatetimeIndex object
+associated with the input data temporal axis (assumed 3rd axis e.g.
+axis=2). Note that if this method is called as part of a sup3r
+resolution forward pass, the date_range_kwargs will be included
+automatically for the current chunk.</p></li>
+<li><p><strong>lr_padded_slice</strong> (<em>tuple | None</em>) – Tuple of length four that slices (spatial_1, spatial_2, temporal,
+features) where each tuple entry is a slice object for that axes.
+Note that if this method is called as part of a sup3r forward pass, the
+lr_padded_slice will be included automatically in the kwargs for the
+active chunk. If this is None, no slicing will be done and the full
+bias correction source shape will be used.</p></li>
+<li><p><strong>temporal_avg</strong> (<em>bool</em>) – Take the average scalars and adders for the chunk’s time index, this
+will smooth the transition of scalars/adders from month to month if
+processing small chunks. If processing the full annual time index, set
+this to False.</p></li>
+<li><p><strong>out_range</strong> (<em>None | tuple</em>) – Option to set floor/ceiling values on the output data.</p></li>
+<li><p><strong>smoothing</strong> (<em>float</em>) – Value to use to smooth the scalar/adder data. This can reduce the
+effect of extreme values within aggregations over large number of
+pixels.  This value is the standard deviation for the gaussian_filter
+kernel.</p></li>
+<li><p><strong>scalar_range</strong> (<em>tuple | None</em>) – Allowed range for the scalar term in the linear bias correction.</p></li>
+<li><p><strong>adder_range</strong> (<em>tuple | None</em>) – Allowed range for the adder term in the linear bias correction.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>np.ndarray</em>) – out = data * scalar + adder</p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.bias_transforms.monthly_local_linear_bc"><code class="docutils literal notranslate"><span class="pre">monthly_local_linear_bc()</span></code></a></li>
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+    <h1>sup3r.bias</h1>
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+  <section id="module-sup3r.bias">
+<span id="sup3r-bias"></span><h1>sup3r.bias<a class="headerlink" href="#module-sup3r.bias" title="Link to this heading">#</a></h1>
+<p>Bias calculation and correction modules.</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.bias.base.html#module-sup3r.bias.base" title="sup3r.bias.base"><code class="xref py py-obj docutils literal notranslate"><span class="pre">base</span></code></a></p></td>
+<td><p>Data retrieval class for performing / evaluating bias correction.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.bias.bias_calc.html#module-sup3r.bias.bias_calc" title="sup3r.bias.bias_calc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bias_calc</span></code></a></p></td>
+<td><p>Utilities to calculate the bias correction factors for biased data that is going to be fed into the sup3r downscaling models.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.bias.bias_calc_cli.html#module-sup3r.bias.bias_calc_cli" title="sup3r.bias.bias_calc_cli"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bias_calc_cli</span></code></a></p></td>
+<td><p>sup3r bias correction calculation CLI entry points.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.bias.bias_calc_vortex.html#module-sup3r.bias.bias_calc_vortex" title="sup3r.bias.bias_calc_vortex"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bias_calc_vortex</span></code></a></p></td>
+<td><p>Classes to compute means from vortex and era data and compute bias correction factors.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.bias.bias_transforms.html#module-sup3r.bias.bias_transforms" title="sup3r.bias.bias_transforms"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bias_transforms</span></code></a></p></td>
+<td><p>Bias correction transformation functions.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.bias.mixins.html#module-sup3r.bias.mixins" title="sup3r.bias.mixins"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mixins</span></code></a></p></td>
+<td><p>Mixin classes to support bias calculation</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.bias.presrat.html#module-sup3r.bias.presrat" title="sup3r.bias.presrat"><code class="xref py py-obj docutils literal notranslate"><span class="pre">presrat</span></code></a></p></td>
+<td><p>QDM related methods to correct and bias and trend</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.bias.qdm.html#module-sup3r.bias.qdm" title="sup3r.bias.qdm"><code class="xref py py-obj docutils literal notranslate"><span class="pre">qdm</span></code></a></p></td>
+<td><p>QDM related methods to correct and bias and trend</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.bias.utilities.html#module-sup3r.bias.utilities" title="sup3r.bias.utilities"><code class="xref py py-obj docutils literal notranslate"><span class="pre">utilities</span></code></a></p></td>
+<td><p>Bias correction methods which can be applied to data handler data.</p></td>
+</tr>
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+    <h1>sup3r.bias.mixins.FillAndSmoothMixin</h1>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.mixins.FillAndSmoothMixin"><code class="docutils literal notranslate"><span class="pre">FillAndSmoothMixin</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.mixins.FillAndSmoothMixin.fill_and_smooth"><code class="docutils literal notranslate"><span class="pre">FillAndSmoothMixin.fill_and_smooth()</span></code></a></li>
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+  <section id="sup3r-bias-mixins-fillandsmoothmixin">
+<h1>sup3r.bias.mixins.FillAndSmoothMixin<a class="headerlink" href="#sup3r-bias-mixins-fillandsmoothmixin" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.bias.mixins.FillAndSmoothMixin">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">FillAndSmoothMixin</span></span><a class="reference internal" href="../_modules/sup3r/bias/mixins.html#FillAndSmoothMixin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.mixins.FillAndSmoothMixin" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<p>Fill and extend parameters for calibration on missing positions</p>
+<p>TODO: replace nn_fill_array call with <cite>Sup3rX.interpolate_na</cite> method</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.mixins.FillAndSmoothMixin.fill_and_smooth" title="sup3r.bias.mixins.FillAndSmoothMixin.fill_and_smooth"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fill_and_smooth</span></code></a>(out[, fill_extend, ...])</p></td>
+<td><p>For a given set of parameters, fill and extend missing positions</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.mixins.FillAndSmoothMixin.fill_and_smooth">
+<span class="sig-name descname"><span class="pre">fill_and_smooth</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fill_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_interior</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/mixins.html#FillAndSmoothMixin.fill_and_smooth"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.mixins.FillAndSmoothMixin.fill_and_smooth" title="Link to this definition">#</a></dt>
+<dd><p>For a given set of parameters, fill and extend missing positions</p>
+<p>Fill data extending beyond the base meta data extent by doing a
+nearest neighbor gap fill. Smooth interior and extended region with
+given smoothing values.
+Interior smoothing can reduce the affect of extreme values
+within aggregations over large number of pixels.
+The interior is assumed to be defined by the region without nan values.
+The extended region is assumed to be the region with nan values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p></li>
+<li><p><strong>fill_extend</strong> (<em>bool</em>) – Whether to fill data extending beyond the base meta data with
+nearest neighbor values.</p></li>
+<li><p><strong>smooth_extend</strong> (<em>float</em>) – Option to smooth the scalar/adder data outside of the spatial
+domain set by the threshold input. This alleviates the weird seams
+far from the domain of interest. This value is the standard
+deviation for the gaussian_filter kernel</p></li>
+<li><p><strong>smooth_interior</strong> (<em>float</em>) – Value to use to smooth the scalar/adder data inside of the spatial
+domain set by the threshold input. This can reduce the effect of
+extreme values within aggregations over large number of pixels.
+This value is the standard deviation for the gaussian_filter
+kernel.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
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+    <h1>sup3r.bias.mixins.ZeroRateMixin</h1>
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+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.mixins.ZeroRateMixin"><code class="docutils literal notranslate"><span class="pre">ZeroRateMixin</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.mixins.ZeroRateMixin.zero_precipitation_rate"><code class="docutils literal notranslate"><span class="pre">ZeroRateMixin.zero_precipitation_rate()</span></code></a></li>
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+  <section id="sup3r-bias-mixins-zeroratemixin">
+<h1>sup3r.bias.mixins.ZeroRateMixin<a class="headerlink" href="#sup3r-bias-mixins-zeroratemixin" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.bias.mixins.ZeroRateMixin">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ZeroRateMixin</span></span><a class="reference internal" href="../_modules/sup3r/bias/mixins.html#ZeroRateMixin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.mixins.ZeroRateMixin" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<p>Estimate zero rate</p>
+<p><a class="reference internal" href="sup3r.bias.presrat.PresRat.html#pierce2015" id="id1"><span>[Pierce2015]</span></a>.</p>
+<p class="rubric">References</p>
+<div role="list" class="citation-list">
+<div class="citation" id="pierce2015" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>Pierce2015<span class="fn-bracket">]</span></span>
+<span class="backrefs">(<a role="doc-backlink" href="#id1">1</a>,<a role="doc-backlink" href="#id2">2</a>,<a role="doc-backlink" href="#id3">3</a>)</span>
+<p>Pierce, D. W., Cayan, D. R., Maurer, E. P., Abatzoglou, J.
+T., &amp; Hegewisch, K. C. (2015). Improved bias correction techniques for
+hydrological simulations of climate change. Journal of Hydrometeorology,
+16(6), 2421-2442.</p>
+</div>
+</div>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.mixins.ZeroRateMixin.zero_precipitation_rate" title="sup3r.bias.mixins.ZeroRateMixin.zero_precipitation_rate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">zero_precipitation_rate</span></code></a>(arr[, threshold])</p></td>
+<td><p>Rate of (nearly) zero precipitation days</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.mixins.ZeroRateMixin.zero_precipitation_rate">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">zero_precipitation_rate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">arr</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/mixins.html#ZeroRateMixin.zero_precipitation_rate"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.mixins.ZeroRateMixin.zero_precipitation_rate" title="Link to this definition">#</a></dt>
+<dd><p>Rate of (nearly) zero precipitation days</p>
+<p>Estimate the rate of values less than a given <code class="docutils literal notranslate"><span class="pre">threshold</span></code>. In concept
+the threshold would be zero (thus the name zero precipitation rate)
+but it is often used a small threshold to truncate negligible values.
+For instance, <a class="reference internal" href="sup3r.bias.presrat.PresRat.html#pierce2015" id="id2"><span>[Pierce2015]</span></a> uses 0.01 mm/day for PresRat correction.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>arr</strong> (<em>np.ndarray</em>) – An array of values to be analyzed. Usually precipitation but it
+could be applied to other quantities.</p></li>
+<li><p><strong>threshold</strong> (<em>float</em>) – Minimum value accepted. Less than that is assumed to be zero.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>rate</strong> (<em>float</em>) – Rate of days with negligible precipitation (see Z_gf in
+<a class="reference internal" href="sup3r.bias.presrat.PresRat.html#pierce2015" id="id3"><span>[Pierce2015]</span></a>).</p>
+</dd>
+</dl>
+<p class="rubric">Notes</p>
+<p>The <code class="docutils literal notranslate"><span class="pre">NaN</span></code> are ignored for the rate estimate. Therefore, a large
+number of <code class="docutils literal notranslate"><span class="pre">NaN</span></code> might compromise the confidence of the estimator.</p>
+<p>If the input values are all non-finite, it returns NaN.</p>
+<p class="rubric">Examples</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ZeroRateMixin</span><span class="p">()</span><span class="o">.</span><span class="n">zero_precipitation_rate</span><span class="p">([</span><span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">],</span> <span class="mi">1</span><span class="p">)</span>
+<span class="go">0.0</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ZeroRateMixin</span><span class="p">()</span><span class="o">.</span><span class="n">zero_precipitation_rate</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">],</span> <span class="mi">1</span><span class="p">)</span>
+<span class="go">0.25</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ZeroRateMixin</span><span class="p">()</span><span class="o">.</span><span class="n">zero_precipitation_rate</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">],</span> <span class="mi">1</span><span class="p">)</span>
+<span class="go">0.25</span>
+</pre></div>
+</div>
+</dd></dl>
+
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+  <section id="module-sup3r.bias.mixins">
+<span id="sup3r-bias-mixins"></span><h1>sup3r.bias.mixins<a class="headerlink" href="#module-sup3r.bias.mixins" title="Link to this heading">#</a></h1>
+<p>Mixin classes to support bias calculation</p>
+<p class="rubric">Classes</p>
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+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.bias.mixins.FillAndSmoothMixin.html#sup3r.bias.mixins.FillAndSmoothMixin" title="sup3r.bias.mixins.FillAndSmoothMixin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FillAndSmoothMixin</span></code></a>()</p></td>
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+    <h1>sup3r.bias.presrat.PresRat</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
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+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat"><code class="docutils literal notranslate"><span class="pre">PresRat</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.calc_tau_fut"><code class="docutils literal notranslate"><span class="pre">PresRat.calc_tau_fut()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.calc_k_factor"><code class="docutils literal notranslate"><span class="pre">PresRat.calc_k_factor()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.run"><code class="docutils literal notranslate"><span class="pre">PresRat.run()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.write_outputs"><code class="docutils literal notranslate"><span class="pre">PresRat.write_outputs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.compare_dists"><code class="docutils literal notranslate"><span class="pre">PresRat.compare_dists()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">PresRat.distance_upper_bound</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.fill_and_smooth"><code class="docutils literal notranslate"><span class="pre">PresRat.fill_and_smooth()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.get_base_data"><code class="docutils literal notranslate"><span class="pre">PresRat.get_base_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.get_base_gid"><code class="docutils literal notranslate"><span class="pre">PresRat.get_base_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.get_bias_data"><code class="docutils literal notranslate"><span class="pre">PresRat.get_bias_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.get_bias_gid"><code class="docutils literal notranslate"><span class="pre">PresRat.get_bias_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.get_data_pair"><code class="docutils literal notranslate"><span class="pre">PresRat.get_data_pair()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">PresRat.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.get_qdm_params"><code class="docutils literal notranslate"><span class="pre">PresRat.get_qdm_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.meta"><code class="docutils literal notranslate"><span class="pre">PresRat.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.pre_load"><code class="docutils literal notranslate"><span class="pre">PresRat.pre_load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.window_mask"><code class="docutils literal notranslate"><span class="pre">PresRat.window_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.zero_precipitation_rate"><code class="docutils literal notranslate"><span class="pre">PresRat.zero_precipitation_rate()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-bias-presrat-presrat">
+<h1>sup3r.bias.presrat.PresRat<a class="headerlink" href="#sup3r-bias-presrat-presrat" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.bias.presrat.PresRat">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">PresRat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_fut_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_upper_bound</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Resource'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_handler</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'DataHandlerNCforCC'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_fut_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decimals</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">match_zero_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_quantiles</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">101</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dist</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'empirical'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relative</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampling</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'linear'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log_base</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_time_steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">24</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">120</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_load</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/presrat.html#PresRat"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.presrat.PresRat" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.bias.mixins.ZeroRateMixin.html#sup3r.bias.mixins.ZeroRateMixin" title="sup3r.bias.mixins.ZeroRateMixin"><code class="xref py py-class docutils literal notranslate"><span class="pre">ZeroRateMixin</span></code></a>, <a class="reference internal" href="sup3r.bias.qdm.QuantileDeltaMappingCorrection.html#sup3r.bias.qdm.QuantileDeltaMappingCorrection" title="sup3r.bias.qdm.QuantileDeltaMappingCorrection"><code class="xref py py-class docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection</span></code></a></p>
+<p>PresRat bias correction method (precipitation)</p>
+<p>The PresRat correction <a class="reference internal" href="#pierce2015" id="id1"><span>[Pierce2015]</span></a> is defined as the combination of
+three steps:
+* Use the model-predicted change ratio (with the CDFs);
+* The treatment of zero-precipitation days (with the fraction of dry days);
+* The final correction factor (K) to preserve the mean (ratio between both
+estimated means);</p>
+<p>To keep consistency with the full sup3r pipeline, PresRat was implemented
+as follows:</p>
+<ol class="arabic simple">
+<li><p>Define zero rate from observations (oh)</p></li>
+</ol>
+<p>Using the historical observations, estimate the zero rate precipitation
+for each gridpoint. It is expected a long time series here, such as
+decadal or longer. A threshold larger than zero is an option here.</p>
+<p>The result is a 2D (space) <cite>zero_rate</cite> (non-dimensional).</p>
+<ol class="arabic simple" start="2">
+<li><p>Find the threshold for each gridpoint (mh)</p></li>
+</ol>
+<p>Using the zero rate from the previous step, identify the magnitude
+threshold for each gridpoint that satisfies that dry days rate.</p>
+<p>Note that Pierce (2015) impose <cite>tau</cite> &gt;= 0.01 mm/day for precipitation.</p>
+<p>The result is a 2D (space) threshold <cite>tau</cite> with the same dimensions
+of the data been corrected. For instance, it could be mm/day for
+precipitation.</p>
+<ol class="arabic simple" start="3">
+<li><p>Define <cite>Z_fg</cite> using <cite>tau</cite> (mf)</p></li>
+</ol>
+<p>The <cite>tau</cite> that was defined with the <em>modeled historical</em>, is now
+used as a threshold on <em>modeled future</em> before any correction to define
+the equivalent zero rate in the future.</p>
+<p>The result is a 2D (space) rate (non-dimensional)</p>
+<ol class="arabic simple" start="4">
+<li><p>Estimate <cite>tau_fut</cite> using <cite>Z_fg</cite></p></li>
+</ol>
+<p>Since sup3r process data in smaller chunks, it wouldn’t be possible to
+apply the rate <cite>Z_fg</cite> directly. To address that, all <em>modeled future</em>
+data is corrected with QDM, and applying <cite>Z_fg</cite> it is defined the
+<cite>tau_fut</cite>.</p>
+<p class="rubric">References</p>
+<div role="list" class="citation-list">
+<div class="citation" id="pierce2015" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>Pierce2015<span class="fn-bracket">]</span></span>
+<span class="backrefs">(<a role="doc-backlink" href="#id1">1</a>,<a role="doc-backlink" href="#id5">2</a>,<a role="doc-backlink" href="#id6">3</a>)</span>
+<p>Pierce, D. W., Cayan, D. R., Maurer, E. P., Abatzoglou, J.
+T., &amp; Hegewisch, K. C. (2015). Improved bias correction techniques for
+hydrological simulations of climate change. Journal of Hydrometeorology,
+16(6), 2421-2442.</p>
+</div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_fps</strong> (<em>list | str</em>) – One or more baseline .h5 filepaths representing non-biased data to
+use
+to correct the biased dataset (observed historical in Cannon et.
+al. (2015)). This is typically several years of WTK or NSRDB files.</p></li>
+<li><p><strong>bias_fps</strong> (<em>list | str</em>) – One or more biased .nc or .h5 filepaths representing the biased
+data
+to be compared with the baseline data (modeled historical in Cannon
+et. al. (2015)). This is typically several years of GCM .nc files.</p></li>
+<li><p><strong>bias_fut_fps</strong> (<em>list | str</em>) – Consistent data to <cite>bias_fps</cite> but for a different time period
+(modeled
+future in Cannon et. al. (2015)). This is the dataset that would be
+corrected, while <cite>bias_fsp</cite> is used to provide a transformation map
+with the baseline data.</p></li>
+<li><p><strong>base_dset</strong> (<em>str</em>) – A single dataset from the base_fps to retrieve. In the case of wind
+components, this can be U_100m or V_100m which will retrieve
+windspeed and winddirection and derive the U/V component.</p></li>
+<li><p><strong>bias_feature</strong> (<em>str</em>) – This is the biased feature from bias_fps to retrieve. This should
+be a single feature name corresponding to base_dset</p></li>
+<li><p><strong>distance_upper_bound</strong> (<em>float</em>) – Upper bound on the nearest neighbor distance in decimal degrees.
+This should be the approximate resolution of the low-resolution
+bias data. None (default) will calculate this based on the median
+distance between points in bias_fps</p></li>
+<li><p><strong>target</strong> (<em>tuple</em>) – (lat, lon) lower left corner of raster to retrieve from bias_fps.
+If None then the lower left corner of the full domain will be used.</p></li>
+<li><p><strong>shape</strong> (<em>tuple</em>) – (rows, cols) grid size to retrieve from bias_fps. If None then the
+full domain shape will be used.</p></li>
+<li><p><strong>base_handler</strong> (<em>str</em>) – Name of rex resource handler or sup3r.preprocessing.data_handlers
+class to be retrieved from the rex/sup3r library. If a
+sup3r.preprocessing.data_handlers class is used, all data will be
+loaded in this class’ initialization and the subsequent bias
+calculation will be done in serial</p></li>
+<li><p><strong>bias_handler</strong> (<em>str</em>) – Name of the bias data handler class to be retrieved from the
+sup3r.preprocessing.data_handlers library.</p></li>
+<li><p><strong>base_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the base_handler
+class</p></li>
+<li><p><strong>bias_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the bias_handler
+class with the bias_fps</p></li>
+<li><p><strong>bias_fut_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the
+bias_handler class with the bias_fut_fps</p></li>
+<li><p><strong>decimals</strong> (<em>int | None</em>) – Option to round bias and base data to this number of
+decimals, this gets passed to np.around(). If decimals
+is negative, it specifies the number of positions to
+the left of the decimal point.</p></li>
+<li><p><strong>match_zero_rate</strong> (<em>bool</em>) – Option to fix the frequency of zero values in the biased data. The
+lowest percentile of values in the biased data will be set to zero
+to match the percentile of zeros in the base data. If
+SkillAssessment is being run and this is True, the distributions
+will not be mean-centered. This helps resolve the issue where
+global climate models produce too many days with small
+precipitation totals e.g., the “drizzle problem” <a class="reference internal" href="sup3r.bias.bias_calc.SkillAssessment.html#polade2014" id="id2"><span>[Polade2014]</span></a>.</p></li>
+<li><p><strong>dist</strong> (<em>str, default=”empirical”,</em>) – Define the type of distribution, which can be “empirical” or any
+parametric distribution defined in “scipy”.</p></li>
+<li><p><strong>n_quantiles</strong> (<em>int, default=101</em>) – Defines the number of quantiles (between 0 and 1) for an empirical
+distribution.</p></li>
+<li><p><strong>sampling</strong> (<em>str, default=”linear”,</em>) – Defines how the quantiles are sampled. For instance, ‘linear’ will
+result in a linearly spaced quantiles. Other options are: ‘log’
+and ‘invlog’.</p></li>
+<li><p><strong>log_base</strong> (<em>int or float, default=10</em>) – Log base value if sampling is “log” or “invlog”.</p></li>
+<li><p><strong>n_time_steps</strong> (<em>int</em>) – Number of times to calculate QDM parameters equally distributed
+along a year. For instance, <cite>n_time_steps=1</cite> results in a single
+set of parameters while <cite>n_time_steps=12</cite> is approximately every
+month.</p></li>
+<li><p><strong>window_size</strong> (<em>int</em>) – Total time window period in days to be considered for each time QDM
+is calculated. For instance, <cite>window_size=30</cite> with
+<cite>n_time_steps=12</cite> would result in approximately monthly estimates.</p></li>
+<li><p><strong>pre_load</strong> (<em>bool</em>) – Flag to preload all data needed for bias correction. This is
+currently recommended to improve performance with the new sup3r
+data handler access patterns</p></li>
+</ul>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<dl class="simple">
+<dt><a class="reference internal" href="sup3r.bias.bias_transforms.local_qdm_bc.html#sup3r.bias.bias_transforms.local_qdm_bc" title="sup3r.bias.bias_transforms.local_qdm_bc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sup3r.bias.bias_transforms.local_qdm_bc</span></code></a></dt><dd><p>Bias correction using QDM.</p>
+</dd>
+<dt><code class="xref py py-obj docutils literal notranslate"><span class="pre">sup3r.preprocessing.data_handlers.DataHandler</span></code></dt><dd><p>Bias correction using QDM directly from a derived handler.</p>
+</dd>
+<dt><code class="xref py py-obj docutils literal notranslate"><span class="pre">rex.utilities.bc_utils.QuantileDeltaMapping</span></code></dt><dd><p>Quantile Delta Mapping method and support functions. Since <code class="xref py py-mod docutils literal notranslate"><span class="pre">rex.utilities.bc_utils</span></code> is used here, the arguments <code class="docutils literal notranslate"><span class="pre">dist</span></code>, <code class="docutils literal notranslate"><span class="pre">n_quantiles</span></code>, <code class="docutils literal notranslate"><span class="pre">sampling</span></code>, and <code class="docutils literal notranslate"><span class="pre">log_base</span></code> must be consitent with that package/module.</p>
+</dd>
+</dl>
+</div>
+<p class="rubric">Notes</p>
+<p>One way of using this class is by saving the distributions definitions
+obtained here with the method <a class="reference internal" href="#sup3r.bias.presrat.PresRat.write_outputs" title="sup3r.bias.presrat.PresRat.write_outputs"><code class="xref py py-meth docutils literal notranslate"><span class="pre">write_outputs()</span></code></a> and then use that
+file with <a class="reference internal" href="sup3r.bias.bias_transforms.local_qdm_bc.html#sup3r.bias.bias_transforms.local_qdm_bc" title="sup3r.bias.bias_transforms.local_qdm_bc"><code class="xref py py-func docutils literal notranslate"><span class="pre">local_qdm_bc()</span></code></a> or through
+a derived <code class="xref py py-class docutils literal notranslate"><span class="pre">DataHandler</span></code>.
+<strong>ATTENTION</strong>, be careful handling that file of parameters. There is
+no checking process and one could missuse the correction estimated for
+the wrong dataset.</p>
+<p class="rubric">References</p>
+<div role="list" class="citation-list">
+<div class="citation" id="cannon2015" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span>Cannon2015<span class="fn-bracket">]</span></span>
+<p>Cannon, A. J., Sobie, S. R., &amp; Murdock, T. Q. (2015).
+Bias correction of GCM precipitation by quantile mapping: how well
+do methods preserve changes in quantiles and extremes?. Journal of
+Climate, 28(17), 6938-6959.</p>
+</div>
+</div>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.presrat.PresRat.calc_k_factor" title="sup3r.bias.presrat.PresRat.calc_k_factor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calc_k_factor</span></code></a>(base_data, bias_data, ...)</p></td>
+<td><p>Calculate the K factor at a single spatial location that will preserve the original model-predicted mean change in precipitation</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.presrat.PresRat.calc_tau_fut" title="sup3r.bias.presrat.PresRat.calc_tau_fut"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calc_tau_fut</span></code></a>(base_data, bias_data, ...[, ...])</p></td>
+<td><p>Calculate a precipitation threshold (tau) that preserves the model-predicted changes in fraction of dry days at a single spatial location.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.presrat.PresRat.compare_dists" title="sup3r.bias.presrat.PresRat.compare_dists"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compare_dists</span></code></a>(base_data, bias_data[, adder, ...])</p></td>
+<td><p>Compare two distributions using the two-sample Kolmogorov-Smirnov.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.presrat.PresRat.fill_and_smooth" title="sup3r.bias.presrat.PresRat.fill_and_smooth"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fill_and_smooth</span></code></a>(out[, fill_extend, ...])</p></td>
+<td><p>For a given set of parameters, fill and extend missing positions</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.presrat.PresRat.get_base_data" title="sup3r.bias.presrat.PresRat.get_base_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_base_data</span></code></a>(base_fps, base_dset, base_gid, ...)</p></td>
+<td><p>Get data from the baseline data source, possibly for many high-res base gids corresponding to a single coarse low-res bias gid.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.presrat.PresRat.get_base_gid" title="sup3r.bias.presrat.PresRat.get_base_gid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_base_gid</span></code></a>(bias_gid)</p></td>
+<td><p>Get one or more base gid(s) corresponding to a bias gid.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.presrat.PresRat.get_bias_data" title="sup3r.bias.presrat.PresRat.get_bias_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_bias_data</span></code></a>(bias_gid[, bias_dh])</p></td>
+<td><p>Get data from the biased data source for a single gid</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.presrat.PresRat.get_bias_gid" title="sup3r.bias.presrat.PresRat.get_bias_gid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_bias_gid</span></code></a>(coord)</p></td>
+<td><p>Get the bias gid from a coordinate.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.presrat.PresRat.get_data_pair" title="sup3r.bias.presrat.PresRat.get_data_pair"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_data_pair</span></code></a>(coord[, daily_reduction])</p></td>
+<td><p>Get base and bias data observations based on a single bias gid.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.presrat.PresRat.get_node_cmd" title="sup3r.bias.presrat.PresRat.get_node_cmd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_node_cmd</span></code></a>(config)</p></td>
+<td><p>Get a CLI call to call cls.run() on a single node based on an input config.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.presrat.PresRat.get_qdm_params" title="sup3r.bias.presrat.PresRat.get_qdm_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_qdm_params</span></code></a>(bias_data, bias_fut_data, ...)</p></td>
+<td><p>Get quantiles' cut point for given datasets</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.presrat.PresRat.pre_load" title="sup3r.bias.presrat.PresRat.pre_load"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pre_load</span></code></a>()</p></td>
+<td><p>Preload all data needed for bias correction.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.presrat.PresRat.run" title="sup3r.bias.presrat.PresRat.run"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run</span></code></a>([fp_out, max_workers, daily_reduction, ...])</p></td>
+<td><p>Estimate the required information for PresRat correction</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.presrat.PresRat.window_mask" title="sup3r.bias.presrat.PresRat.window_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">window_mask</span></code></a>(doy, d0, window_size)</p></td>
+<td><p>An index of elements within a given time window</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.presrat.PresRat.write_outputs" title="sup3r.bias.presrat.PresRat.write_outputs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_outputs</span></code></a>(fp_out[, out, extra_attrs])</p></td>
+<td><p>Write outputs to an .h5 file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.presrat.PresRat.zero_precipitation_rate" title="sup3r.bias.presrat.PresRat.zero_precipitation_rate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">zero_precipitation_rate</span></code></a>(arr[, threshold])</p></td>
+<td><p>Rate of (nearly) zero precipitation days</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.presrat.PresRat.distance_upper_bound" title="sup3r.bias.presrat.PresRat.distance_upper_bound"><code class="xref py py-obj docutils literal notranslate"><span class="pre">distance_upper_bound</span></code></a></p></td>
+<td><p>Maximum distance (float) to map high-resolution data from exo_source to the low-resolution file_paths input.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.presrat.PresRat.meta" title="sup3r.bias.presrat.PresRat.meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meta</span></code></a></p></td>
+<td><p>Get a meta data dictionary on how these bias factors were calculated</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.presrat.PresRat.calc_tau_fut">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">calc_tau_fut</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_fut_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">corrected_fut_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">zero_rate_threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.157e-07</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/presrat.html#PresRat.calc_tau_fut"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.presrat.PresRat.calc_tau_fut" title="Link to this definition">#</a></dt>
+<dd><p>Calculate a precipitation threshold (tau) that preserves the
+model-predicted changes in fraction of dry days at a single spatial
+location.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – A 1D array of (usually) daily precipitation observations from a
+historical dataset like Daymet</p></li>
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – A 1D array of (usually) daily precipitation historical climate
+simulation outputs from a GCM dataset from CMIP6</p></li>
+<li><p><strong>bias_future_data</strong> (<em>np.ndarray</em>) – A 1D array of (usually) daily precipitation future (e.g., ssp245)
+climate simulation outputs from a GCM dataset from CMIP6</p></li>
+<li><p><strong>corrected_fut_data</strong> (<em>np.ndarray</em>) – Bias corrected bias_future_data usually with relative QDM</p></li>
+<li><p><strong>zero_rate_threshold</strong> (<em>float, default=1.157e-7</em>) – Threshold value used to determine the zero rate in the observed
+historical dataset. For instance, 0.01 means that anything less
+than that will be considered negligible, hence equal to zero. Dai
+2006 defined this as 1mm/day. Pierce 2015 used 0.01mm/day. We
+recommend 0.01mm/day (1.157e-7 kg/m2/s).</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>tau_fut</strong> (<em>float</em>) – Precipitation threshold that will preserve the model predicted
+changes in fraction of dry days. Precipitation less than this value
+in the modeled future data can be set to zero.</p></li>
+<li><p><strong>obs_zero_rate</strong> (<em>float</em>) – Rate of dry days in the observed historical data.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.presrat.PresRat.calc_k_factor">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">calc_k_factor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_fut_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">corrected_fut_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_ti</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_ti</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_fut_ti</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_center</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_time_steps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">zero_rate_threshold</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/presrat.html#PresRat.calc_k_factor"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.presrat.PresRat.calc_k_factor" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the K factor at a single spatial location that will
+preserve the original model-predicted mean change in precipitation</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – A 1D array of (usually) daily precipitation observations from a
+historical dataset like Daymet</p></li>
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – A 1D array of (usually) daily precipitation historical climate
+simulation outputs from a GCM dataset from CMIP6</p></li>
+<li><p><strong>bias_future_data</strong> (<em>np.ndarray</em>) – A 1D array of (usually) daily precipitation future (e.g., ssp245)
+climate simulation outputs from a GCM dataset from CMIP6</p></li>
+<li><p><strong>corrected_fut_data</strong> (<em>np.ndarray</em>) – Bias corrected bias_future_data usually with relative QDM</p></li>
+<li><p><strong>base_ti</strong> (<em>pd.DatetimeIndex</em>) – Datetime index associated with bias_data and of the same length</p></li>
+<li><p><strong>bias_fut_ti</strong> (<em>pd.DatetimeIndex</em>) – Datetime index associated with bias_fut_data and of the same length</p></li>
+<li><p><strong>window_center</strong> (<em>np.ndarray</em>) – Sequence of days of the year equally spaced and shifted by half
+window size, thus <a href="#id3"><span class="problematic" id="id4">`</span></a>ntimes`=12 results in approximately [15, 45,
+…]. It includes the fraction of a day, thus 15.5 is equivalent
+to January 15th, 12:00h. Shape is (N,)</p></li>
+<li><p><strong>window_size</strong> (<em>int</em>) – Total time window period in days to be considered for each time QDM
+is calculated. For instance, <cite>window_size=30</cite> with
+<cite>n_time_steps=12</cite> would result in approximately monthly estimates.</p></li>
+<li><p><strong>n_time_steps</strong> (<em>int</em>) – Number of times to calculate QDM parameters equally distributed
+along a year. For instance, <cite>n_time_steps=1</cite> results in a single
+set of parameters while <cite>n_time_steps=12</cite> is approximately every
+month.</p></li>
+<li><p><strong>zero_rate_threshold</strong> (<em>float, default=1.157e-7</em>) – Threshold value used to determine the zero rate in the observed
+historical dataset. For instance, 0.01 means that anything less
+than that will be considered negligible, hence equal to zero. Dai
+2006 defined this as 1mm/day. Pierce 2015 used 0.01mm/day. We
+recommend 0.01mm/day (1.157e-7 kg/m2/s).</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>k</strong> (<em>np.ndarray</em>) – K factor from the Pierce 2015 paper with shape (n_time_steps,)
+for a single spatial location.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.presrat.PresRat.run">
+<span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fp_out</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daily_reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'avg'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fill_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_interior</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">zero_rate_threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.157e-07</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/presrat.html#PresRat.run"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.presrat.PresRat.run" title="Link to this definition">#</a></dt>
+<dd><p>Estimate the required information for PresRat correction</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>fp_out</strong> (<em>str | None</em>) – Optional .h5 output file to write scalar and adder arrays.</p></li>
+<li><p><strong>max_workers</strong> (<em>int, optional</em>) – Number of workers to run in parallel. 1 is serial and None is all
+available.</p></li>
+<li><p><strong>daily_reduction</strong> (<em>None | str</em>) – Option to do a reduction of the hourly+ source base data to daily
+data. Can be None (no reduction, keep source time frequency), “avg”
+(daily average), “max” (daily max), “min” (daily min),
+“sum” (daily sum/total)</p></li>
+<li><p><strong>fill_extend</strong> (<em>bool</em>) – Whether to fill data extending beyond the base meta data with
+nearest neighbor values.</p></li>
+<li><p><strong>smooth_extend</strong> (<em>float</em>) – Option to smooth the scalar/adder data outside of the spatial
+domain set by the threshold input. This alleviates the weird seams
+far from the domain of interest. This value is the standard
+deviation for the gaussian_filter kernel</p></li>
+<li><p><strong>smooth_interior</strong> (<em>float</em>) – Value to use to smooth the scalar/adder data inside of the spatial
+domain set by the threshold input. This can reduce the effect of
+extreme values within aggregations over large number of pixels.
+This value is the standard deviation for the gaussian_filter
+kernel.</p></li>
+<li><p><strong>zero_rate_threshold</strong> (<em>float, default=1.157e-7</em>) – Threshold value used to determine the zero rate in the observed
+historical dataset. For instance, 0.01 means that anything less
+than that will be considered negligible, hence equal to zero. Dai
+2006 defined this as 1mm/day. Pierce 2015 used 0.01mm/day. We
+recommend 0.01mm/day (1.157e-7 kg/m2/s).</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>dict</em>) – Dictionary with parameters defining the statistical distributions
+for each of the three given datasets. Each value has dimensions
+(lat, lon, n-parameters).</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.presrat.PresRat.write_outputs">
+<span class="sig-name descname"><span class="pre">write_outputs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fp_out</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">out</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extra_attrs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/presrat.html#PresRat.write_outputs"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.presrat.PresRat.write_outputs" title="Link to this definition">#</a></dt>
+<dd><p>Write outputs to an .h5 file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>fp_out</strong> (<em>str | None</em>) – An HDF5 filename to write the estimated statistical distributions.</p></li>
+<li><p><strong>out</strong> (<em>dict, optional</em>) – A dictionary with the three statistical distribution parameters.
+If not given, it uses <code class="xref py py-attr docutils literal notranslate"><span class="pre">out</span></code>.</p></li>
+<li><p><strong>extra_attrs</strong> (<em>dict, optional</em>) – Extra attributes to be exported together with the dataset.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Examples</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">mycalc</span> <span class="o">=</span> <span class="n">PresRat</span><span class="p">(</span><span class="o">...</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">mycalc</span><span class="o">.</span><span class="n">write_outputs</span><span class="p">(</span><span class="n">fp_out</span><span class="o">=</span><span class="s2">&quot;myfile.h5&quot;</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="n">mydictdataset</span><span class="p">,</span>
+<span class="gp">... </span>  <span class="n">extra_attrs</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;zero_rate_threshold&#39;</span><span class="p">:</span> <span class="mf">0.01</span><span class="p">})</span>
+</pre></div>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.presrat.PresRat.compare_dists">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compare_dists</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scalar</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.presrat.PresRat.compare_dists" title="Link to this definition">#</a></dt>
+<dd><p>Compare two distributions using the two-sample Kolmogorov-Smirnov.
+When the output is minimized, the two distributions are similar.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – 1D array of base data observations.</p></li>
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of biased data observations.</p></li>
+<li><p><strong>adder</strong> (<em>float</em>) – Factor to adjust the biased data before comparing distributions:
+bias_data * scalar + adder</p></li>
+<li><p><strong>scalar</strong> (<em>float</em>) – Factor to adjust the biased data before comparing distributions:
+bias_data * scalar + adder</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>float</em>) – KS test statistic</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.bias.presrat.PresRat.distance_upper_bound">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">distance_upper_bound</span></span><a class="headerlink" href="#sup3r.bias.presrat.PresRat.distance_upper_bound" title="Link to this definition">#</a></dt>
+<dd><p>Maximum distance (float) to map high-resolution data from exo_source
+to the low-resolution file_paths input.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.presrat.PresRat.fill_and_smooth">
+<span class="sig-name descname"><span class="pre">fill_and_smooth</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fill_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_interior</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.presrat.PresRat.fill_and_smooth" title="Link to this definition">#</a></dt>
+<dd><p>For a given set of parameters, fill and extend missing positions</p>
+<p>Fill data extending beyond the base meta data extent by doing a
+nearest neighbor gap fill. Smooth interior and extended region with
+given smoothing values.
+Interior smoothing can reduce the affect of extreme values
+within aggregations over large number of pixels.
+The interior is assumed to be defined by the region without nan values.
+The extended region is assumed to be the region with nan values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p></li>
+<li><p><strong>fill_extend</strong> (<em>bool</em>) – Whether to fill data extending beyond the base meta data with
+nearest neighbor values.</p></li>
+<li><p><strong>smooth_extend</strong> (<em>float</em>) – Option to smooth the scalar/adder data outside of the spatial
+domain set by the threshold input. This alleviates the weird seams
+far from the domain of interest. This value is the standard
+deviation for the gaussian_filter kernel</p></li>
+<li><p><strong>smooth_interior</strong> (<em>float</em>) – Value to use to smooth the scalar/adder data inside of the spatial
+domain set by the threshold input. This can reduce the effect of
+extreme values within aggregations over large number of pixels.
+This value is the standard deviation for the gaussian_filter
+kernel.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.presrat.PresRat.get_base_data">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_base_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_gid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daily_reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'avg'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decimals</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dh_inst</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.presrat.PresRat.get_base_data" title="Link to this definition">#</a></dt>
+<dd><p>Get data from the baseline data source, possibly for many high-res
+base gids corresponding to a single coarse low-res bias gid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_fps</strong> (<em>list | str</em>) – One or more baseline .h5 filepaths representing non-biased data to
+use to correct the biased dataset. This is typically several years
+of WTK or NSRDB files.</p></li>
+<li><p><strong>base_dset</strong> (<em>str</em>) – A single dataset from the base_fps to retrieve.</p></li>
+<li><p><strong>base_gid</strong> (<em>int | np.ndarray</em>) – One or more spatial gids to retrieve from base_fps. The data will
+be spatially averaged across all of these sites.</p></li>
+<li><p><strong>base_handler</strong> (<em>rex.Resource</em>) – A rex data handler similar to rex.Resource or sup3r.DataHandler
+classes (if using the latter, must also input base_dh_inst)</p></li>
+<li><p><strong>base_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the base_handler
+class</p></li>
+<li><p><strong>daily_reduction</strong> (<em>None | str</em>) – Option to do a reduction of the hourly+ source base data to daily
+data. Can be None (no reduction, keep source time frequency), “avg”
+(daily average), “max” (daily max), “min” (daily min),
+“sum” (daily sum/total)</p></li>
+<li><p><strong>decimals</strong> (<em>int | None</em>) – Option to round bias and base data to this number of
+decimals, this gets passed to np.around(). If decimals
+is negative, it specifies the number of positions to
+the left of the decimal point.</p></li>
+<li><p><strong>base_dh_inst</strong> (<em>sup3r.DataHandler</em>) – Instantiated  DataHandler class that has already loaded the base
+data (required if base files are .nc and are not being opened by a
+rex Resource handler).</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>out_data</strong> (<em>np.ndarray</em>) – 1D array of base data spatially averaged across the base_gid input
+and possibly daily-averaged or min/max’d as well.</p></li>
+<li><p><strong>out_ti</strong> (<em>pd.DatetimeIndex</em>) – DatetimeIndex object of datetimes corresponding to the
+output data.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.presrat.PresRat.get_base_gid">
+<span class="sig-name descname"><span class="pre">get_base_gid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bias_gid</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.presrat.PresRat.get_base_gid" title="Link to this definition">#</a></dt>
+<dd><p>Get one or more base gid(s) corresponding to a bias gid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>bias_gid</strong> (<em>int</em>) – gid of the data to retrieve in the bias data source raster data.
+The gids for this data source are the enumerated indices of the
+flattened coordinate array.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>dist</strong> (<em>np.ndarray</em>) – Array of nearest neighbor distances with length equal to the number
+of high-resolution baseline gids that map to the low resolution
+bias gid pixel.</p></li>
+<li><p><strong>base_gid</strong> (<em>np.ndarray</em>) – Array of base gids that are the nearest neighbors of bias_gid with
+length equal to the number of high-resolution baseline gids that
+map to the low resolution bias gid pixel.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.presrat.PresRat.get_bias_data">
+<span class="sig-name descname"><span class="pre">get_bias_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bias_gid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_dh</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.presrat.PresRat.get_bias_data" title="Link to this definition">#</a></dt>
+<dd><p>Get data from the biased data source for a single gid</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>bias_gid</strong> (<em>int</em>) – gid of the data to retrieve in the bias data source raster data.
+The gids for this data source are the enumerated indices of the
+flattened coordinate array.</p></li>
+<li><p><strong>bias_dh</strong> (<em>DataHandler, default=self.bias_dh</em>) – Any <code class="docutils literal notranslate"><span class="pre">DataHandler</span></code> from <a class="reference internal" href="sup3r.preprocessing.html#module-sup3r.preprocessing" title="sup3r.preprocessing"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sup3r.preprocessing</span></code></a>. This optional
+argument allows an alternative handler other than the usual
+<code class="xref py py-attr docutils literal notranslate"><span class="pre">bias_dh</span></code>. For instance, the derived
+<code class="xref py py-class docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection</span></code> uses it to access the
+reference biased dataset as well as the target biased dataset.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of temporal data at the requested gid.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.presrat.PresRat.get_bias_gid">
+<span class="sig-name descname"><span class="pre">get_bias_gid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coord</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.presrat.PresRat.get_bias_gid" title="Link to this definition">#</a></dt>
+<dd><p>Get the bias gid from a coordinate.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coord</strong> (<em>tuple</em>) – (lat, lon) to get data for.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>bias_gid</strong> (<em>int</em>) – gid of the data to retrieve in the bias data source raster data.
+The gids for this data source are the enumerated indices of the
+flattened coordinate array.</p></li>
+<li><p><strong>d</strong> (<em>float</em>) – Distance in decimal degrees from coord to bias gid</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.presrat.PresRat.get_data_pair">
+<span class="sig-name descname"><span class="pre">get_data_pair</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coord</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daily_reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'avg'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.presrat.PresRat.get_data_pair" title="Link to this definition">#</a></dt>
+<dd><p>Get base and bias data observations based on a single bias gid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coord</strong> (<em>tuple</em>) – (lat, lon) to get data for.</p></li>
+<li><p><strong>daily_reduction</strong> (<em>None | str</em>) – Option to do a reduction of the hourly+ source base data to daily
+data. Can be None (no reduction, keep source time frequency), “avg”
+(daily average), “max” (daily max), “min” (daily min),
+“sum” (daily sum/total)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – 1D array of base data spatially averaged across the base_gid input
+and possibly daily-averaged or min/max’d as well.</p></li>
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of temporal data at the requested gid.</p></li>
+<li><p><strong>base_dist</strong> (<em>np.ndarray</em>) – Array of nearest neighbor distances from coord to the base data
+sites with length equal to the number of high-resolution baseline
+gids that map to the low resolution bias gid pixel.</p></li>
+<li><p><strong>bias_dist</strong> (<em>Float</em>) – Nearest neighbor distance from coord to the bias data site</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.presrat.PresRat.get_node_cmd">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_node_cmd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.presrat.PresRat.get_node_cmd" title="Link to this definition">#</a></dt>
+<dd><p>Get a CLI call to call cls.run() on a single node based on an input
+config.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>config</strong> (<em>dict</em>) – sup3r bias calc config with all necessary args and kwargs to
+initialize the class and call run() on a single node.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.presrat.PresRat.get_qdm_params">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_qdm_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bias_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_fut_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampling</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log_base</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.presrat.PresRat.get_qdm_params" title="Link to this definition">#</a></dt>
+<dd><p>Get quantiles’ cut point for given datasets</p>
+<p>Estimate the quantiles’ cut points for each of the three given
+datasets. Lacking a good analytical approximation, such as one of
+the parametric distributions, those quantiles can be used to
+approximate the statistical distribution of those datasets.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of biased data observations.</p></li>
+<li><p><strong>bias_fut_data</strong> (<em>np.ndarray</em>) – 1D array of biased data observations.</p></li>
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – 1D array of base data observations.</p></li>
+<li><p><strong>bias_feature</strong> (<em>str</em>) – This is the biased feature from bias_fps to retrieve. This should
+be a single feature name corresponding to base_dset.</p></li>
+<li><p><strong>base_dset</strong> (<em>str</em>) – A single dataset from the base_fps to retrieve. In the case of wind
+components, this can be U_100m or V_100m which will retrieve
+windspeed and winddirection and derive the U/V component.</p></li>
+<li><p><strong>sampling</strong> (<em>str</em>) – Defines how the quantiles are sampled. For instance, ‘linear’ will
+result in a linearly spaced quantiles. Other options are: ‘log’
+and ‘invlog’.</p></li>
+<li><p><strong>n_samples</strong> (<em>int</em>) – Number of points to sample between 0 and 1, i.e. number of
+quantiles.</p></li>
+<li><p><strong>log_base</strong> (<em>int | float</em>) – Log base value.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>dict</em>) – Dictionary of the quantiles’ cut points. Note that to make sense
+of those cut point values, one need to know the given arguments
+such as <cite>log_base</cite>. For instance, the sequence [-1, 0, 2] are,
+if sampling was linear, the minimum, median, and maximum values
+respectively. The expected keys are “bias_{bias_feature}_params”,
+“bias_fut_{bias_feature}_params”, and “base_{base_dset}_params”.</p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<dl class="simple">
+<dt><code class="xref py py-obj docutils literal notranslate"><span class="pre">rex.utilities.bc_utils</span></code></dt><dd><p>Sampling scales, such as <cite>sample_q_linear()</cite></p>
+</dd>
+</dl>
+</div>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.bias.presrat.PresRat.meta">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">meta</span></span><a class="headerlink" href="#sup3r.bias.presrat.PresRat.meta" title="Link to this definition">#</a></dt>
+<dd><p>Get a meta data dictionary on how these bias factors were
+calculated</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.presrat.PresRat.pre_load">
+<span class="sig-name descname"><span class="pre">pre_load</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.presrat.PresRat.pre_load" title="Link to this definition">#</a></dt>
+<dd><p>Preload all data needed for bias correction. This is currently
+recommended to improve performance with the new sup3r data handler
+access patterns</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.presrat.PresRat.window_mask">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">window_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">doy</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">d0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_size</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.presrat.PresRat.window_mask" title="Link to this definition">#</a></dt>
+<dd><p>An index of elements within a given time window</p>
+<p>Create an index of days of the year within the target time window. It
+only considers the day of the year (doy), hence, it is limited to time
+scales smaller than annual.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>doy</strong> (<em>np.ndarray</em>) – An unordered array of days of year, i.e. January 1st is 1.</p></li>
+<li><p><strong>d0</strong> (<em>int</em>) – Center point of the target window [day of year].</p></li>
+<li><p><strong>window_size</strong> (<em>float</em>) – Total size of the target window, i.e. the window covers half this
+value on each side of d0. Note that it has the same units of doy,
+thus it is equal to the number of points only if doy is daily.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>np.array</em> – An boolean array with the same shape of the given <cite>doy</cite>, where
+True means that position is within the target window.</p>
+</dd>
+</dl>
+<p class="rubric">Notes</p>
+<p>Leap years have the day 366 included in the output index, but a
+precise shift is not calculated, resulting in a negligible error
+in large datasets.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.presrat.PresRat.zero_precipitation_rate">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">zero_precipitation_rate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">arr</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.presrat.PresRat.zero_precipitation_rate" title="Link to this definition">#</a></dt>
+<dd><p>Rate of (nearly) zero precipitation days</p>
+<p>Estimate the rate of values less than a given <code class="docutils literal notranslate"><span class="pre">threshold</span></code>. In concept
+the threshold would be zero (thus the name zero precipitation rate)
+but it is often used a small threshold to truncate negligible values.
+For instance, <a class="reference internal" href="#pierce2015" id="id5"><span>[Pierce2015]</span></a> uses 0.01 mm/day for PresRat correction.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>arr</strong> (<em>np.ndarray</em>) – An array of values to be analyzed. Usually precipitation but it
+could be applied to other quantities.</p></li>
+<li><p><strong>threshold</strong> (<em>float</em>) – Minimum value accepted. Less than that is assumed to be zero.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>rate</strong> (<em>float</em>) – Rate of days with negligible precipitation (see Z_gf in
+<a class="reference internal" href="#pierce2015" id="id6"><span>[Pierce2015]</span></a>).</p>
+</dd>
+</dl>
+<p class="rubric">Notes</p>
+<p>The <code class="docutils literal notranslate"><span class="pre">NaN</span></code> are ignored for the rate estimate. Therefore, a large
+number of <code class="docutils literal notranslate"><span class="pre">NaN</span></code> might compromise the confidence of the estimator.</p>
+<p>If the input values are all non-finite, it returns NaN.</p>
+<p class="rubric">Examples</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ZeroRateMixin</span><span class="p">()</span><span class="o">.</span><span class="n">zero_precipitation_rate</span><span class="p">([</span><span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">],</span> <span class="mi">1</span><span class="p">)</span>
+<span class="go">0.0</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ZeroRateMixin</span><span class="p">()</span><span class="o">.</span><span class="n">zero_precipitation_rate</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">],</span> <span class="mi">1</span><span class="p">)</span>
+<span class="go">0.25</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">ZeroRateMixin</span><span class="p">()</span><span class="o">.</span><span class="n">zero_precipitation_rate</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">],</span> <span class="mi">1</span><span class="p">)</span>
+<span class="go">0.25</span>
+</pre></div>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat"><code class="docutils literal notranslate"><span class="pre">PresRat</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.calc_tau_fut"><code class="docutils literal notranslate"><span class="pre">PresRat.calc_tau_fut()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.calc_k_factor"><code class="docutils literal notranslate"><span class="pre">PresRat.calc_k_factor()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.run"><code class="docutils literal notranslate"><span class="pre">PresRat.run()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.write_outputs"><code class="docutils literal notranslate"><span class="pre">PresRat.write_outputs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.compare_dists"><code class="docutils literal notranslate"><span class="pre">PresRat.compare_dists()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">PresRat.distance_upper_bound</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.fill_and_smooth"><code class="docutils literal notranslate"><span class="pre">PresRat.fill_and_smooth()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.get_base_data"><code class="docutils literal notranslate"><span class="pre">PresRat.get_base_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.get_base_gid"><code class="docutils literal notranslate"><span class="pre">PresRat.get_base_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.get_bias_data"><code class="docutils literal notranslate"><span class="pre">PresRat.get_bias_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.get_bias_gid"><code class="docutils literal notranslate"><span class="pre">PresRat.get_bias_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.get_data_pair"><code class="docutils literal notranslate"><span class="pre">PresRat.get_data_pair()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">PresRat.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.get_qdm_params"><code class="docutils literal notranslate"><span class="pre">PresRat.get_qdm_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.meta"><code class="docutils literal notranslate"><span class="pre">PresRat.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.pre_load"><code class="docutils literal notranslate"><span class="pre">PresRat.pre_load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.window_mask"><code class="docutils literal notranslate"><span class="pre">PresRat.window_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.presrat.PresRat.zero_precipitation_rate"><code class="docutils literal notranslate"><span class="pre">PresRat.zero_precipitation_rate()</span></code></a></li>
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+<span id="sup3r-bias-presrat"></span><h1>sup3r.bias.presrat<a class="headerlink" href="#module-sup3r.bias.presrat" title="Link to this heading">#</a></h1>
+<p>QDM related methods to correct and bias and trend</p>
+<p>Procedures to apply Quantile Delta Method correction and derived methods such
+as PresRat.</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
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+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat" title="sup3r.bias.presrat.PresRat"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PresRat</span></code></a>(base_fps, bias_fps, bias_fut_fps, ...)</p></td>
+<td><p>PresRat bias correction method (precipitation)</p></td>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>sup3r.bias.qdm.QuantileDeltaMappingCorrection</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.pre_load"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.pre_load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_qdm_params"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.get_qdm_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.write_outputs"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.write_outputs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.run"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.run()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.compare_dists"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.compare_dists()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.distance_upper_bound</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.fill_and_smooth"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.fill_and_smooth()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_base_data"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.get_base_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_base_gid"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.get_base_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_bias_data"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.get_bias_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_bias_gid"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.get_bias_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_data_pair"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.get_data_pair()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.meta"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.window_mask"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.window_mask()</span></code></a></li>
+</ul>
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+</ul>
+            </nav>
+        </div>
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+                <article class="bd-article">
+                  
+  <section id="sup3r-bias-qdm-quantiledeltamappingcorrection">
+<h1>sup3r.bias.qdm.QuantileDeltaMappingCorrection<a class="headerlink" href="#sup3r-bias-qdm-quantiledeltamappingcorrection" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.bias.qdm.QuantileDeltaMappingCorrection">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">QuantileDeltaMappingCorrection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_fut_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_upper_bound</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'Resource'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_handler</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'DataHandlerNCforCC'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_fut_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decimals</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">match_zero_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_quantiles</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">101</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dist</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'empirical'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relative</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampling</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'linear'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log_base</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_time_steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">24</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">120</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_load</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/qdm.html#QuantileDeltaMappingCorrection"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.bias.mixins.FillAndSmoothMixin.html#sup3r.bias.mixins.FillAndSmoothMixin" title="sup3r.bias.mixins.FillAndSmoothMixin"><code class="xref py py-class docutils literal notranslate"><span class="pre">FillAndSmoothMixin</span></code></a>, <a class="reference internal" href="sup3r.bias.base.DataRetrievalBase.html#sup3r.bias.base.DataRetrievalBase" title="sup3r.bias.base.DataRetrievalBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataRetrievalBase</span></code></a></p>
+<p>Estimate probability distributions required by Quantile Delta Mapping</p>
+<p>The main purpose of this class is to estimate the probability
+distributions required by Quantile Delta Mapping (QDM) (<a class="reference internal" href="#cannon2015" id="id1"><span>[Cannon2015]</span></a>)
+technique. Therefore, the name ‘Correction’ can be misleading since it is
+not the correction <em>per se</em>, but that was used to keep consistency within
+this module.</p>
+<p>The QDM technique corrects bias and trend by comparing the data
+distributions of three datasets: a historical reference, a biased
+reference, and a biased target to correct (in Cannon et. al. (2015)
+called: historical observed, historical modeled, and future modeled
+respectively). Those three probability distributions provided here
+can be, for instance, used by
+<a class="reference internal" href="sup3r.bias.bias_transforms.local_qdm_bc.html#sup3r.bias.bias_transforms.local_qdm_bc" title="sup3r.bias.bias_transforms.local_qdm_bc"><code class="xref py py-func docutils literal notranslate"><span class="pre">local_qdm_bc()</span></code></a> to actually correct
+a dataset.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_fps</strong> (<em>list | str</em>) – One or more baseline .h5 filepaths representing non-biased data to
+use
+to correct the biased dataset (observed historical in Cannon et.
+al. (2015)). This is typically several years of WTK or NSRDB files.</p></li>
+<li><p><strong>bias_fps</strong> (<em>list | str</em>) – One or more biased .nc or .h5 filepaths representing the biased
+data
+to be compared with the baseline data (modeled historical in Cannon
+et. al. (2015)). This is typically several years of GCM .nc files.</p></li>
+<li><p><strong>bias_fut_fps</strong> (<em>list | str</em>) – Consistent data to <cite>bias_fps</cite> but for a different time period
+(modeled
+future in Cannon et. al. (2015)). This is the dataset that would be
+corrected, while <cite>bias_fsp</cite> is used to provide a transformation map
+with the baseline data.</p></li>
+<li><p><strong>base_dset</strong> (<em>str</em>) – A single dataset from the base_fps to retrieve. In the case of wind
+components, this can be U_100m or V_100m which will retrieve
+windspeed and winddirection and derive the U/V component.</p></li>
+<li><p><strong>bias_feature</strong> (<em>str</em>) – This is the biased feature from bias_fps to retrieve. This should
+be a single feature name corresponding to base_dset</p></li>
+<li><p><strong>distance_upper_bound</strong> (<em>float</em>) – Upper bound on the nearest neighbor distance in decimal degrees.
+This should be the approximate resolution of the low-resolution
+bias data. None (default) will calculate this based on the median
+distance between points in bias_fps</p></li>
+<li><p><strong>target</strong> (<em>tuple</em>) – (lat, lon) lower left corner of raster to retrieve from bias_fps.
+If None then the lower left corner of the full domain will be used.</p></li>
+<li><p><strong>shape</strong> (<em>tuple</em>) – (rows, cols) grid size to retrieve from bias_fps. If None then the
+full domain shape will be used.</p></li>
+<li><p><strong>base_handler</strong> (<em>str</em>) – Name of rex resource handler or sup3r.preprocessing.data_handlers
+class to be retrieved from the rex/sup3r library. If a
+sup3r.preprocessing.data_handlers class is used, all data will be
+loaded in this class’ initialization and the subsequent bias
+calculation will be done in serial</p></li>
+<li><p><strong>bias_handler</strong> (<em>str</em>) – Name of the bias data handler class to be retrieved from the
+sup3r.preprocessing.data_handlers library.</p></li>
+<li><p><strong>base_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the base_handler
+class</p></li>
+<li><p><strong>bias_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the bias_handler
+class with the bias_fps</p></li>
+<li><p><strong>bias_fut_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the
+bias_handler class with the bias_fut_fps</p></li>
+<li><p><strong>decimals</strong> (<em>int | None</em>) – Option to round bias and base data to this number of
+decimals, this gets passed to np.around(). If decimals
+is negative, it specifies the number of positions to
+the left of the decimal point.</p></li>
+<li><p><strong>match_zero_rate</strong> (<em>bool</em>) – Option to fix the frequency of zero values in the biased data. The
+lowest percentile of values in the biased data will be set to zero
+to match the percentile of zeros in the base data. If
+SkillAssessment is being run and this is True, the distributions
+will not be mean-centered. This helps resolve the issue where
+global climate models produce too many days with small
+precipitation totals e.g., the “drizzle problem” <a class="reference internal" href="sup3r.bias.bias_calc.SkillAssessment.html#polade2014" id="id2"><span>[Polade2014]</span></a>.</p></li>
+<li><p><strong>dist</strong> (<em>str, default=”empirical”,</em>) – Define the type of distribution, which can be “empirical” or any
+parametric distribution defined in “scipy”.</p></li>
+<li><p><strong>n_quantiles</strong> (<em>int, default=101</em>) – Defines the number of quantiles (between 0 and 1) for an empirical
+distribution.</p></li>
+<li><p><strong>sampling</strong> (<em>str, default=”linear”,</em>) – Defines how the quantiles are sampled. For instance, ‘linear’ will
+result in a linearly spaced quantiles. Other options are: ‘log’
+and ‘invlog’.</p></li>
+<li><p><strong>log_base</strong> (<em>int or float, default=10</em>) – Log base value if sampling is “log” or “invlog”.</p></li>
+<li><p><strong>n_time_steps</strong> (<em>int</em>) – Number of times to calculate QDM parameters equally distributed
+along a year. For instance, <cite>n_time_steps=1</cite> results in a single
+set of parameters while <cite>n_time_steps=12</cite> is approximately every
+month.</p></li>
+<li><p><strong>window_size</strong> (<em>int</em>) – Total time window period in days to be considered for each time QDM
+is calculated. For instance, <cite>window_size=30</cite> with
+<cite>n_time_steps=12</cite> would result in approximately monthly estimates.</p></li>
+<li><p><strong>pre_load</strong> (<em>bool</em>) – Flag to preload all data needed for bias correction. This is
+currently recommended to improve performance with the new sup3r
+data handler access patterns</p></li>
+</ul>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<dl class="simple">
+<dt><a class="reference internal" href="sup3r.bias.bias_transforms.local_qdm_bc.html#sup3r.bias.bias_transforms.local_qdm_bc" title="sup3r.bias.bias_transforms.local_qdm_bc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sup3r.bias.bias_transforms.local_qdm_bc</span></code></a></dt><dd><p>Bias correction using QDM.</p>
+</dd>
+<dt><code class="xref py py-obj docutils literal notranslate"><span class="pre">sup3r.preprocessing.data_handlers.DataHandler</span></code></dt><dd><p>Bias correction using QDM directly from a derived handler.</p>
+</dd>
+<dt><code class="xref py py-obj docutils literal notranslate"><span class="pre">rex.utilities.bc_utils.QuantileDeltaMapping</span></code></dt><dd><p>Quantile Delta Mapping method and support functions. Since <code class="xref py py-mod docutils literal notranslate"><span class="pre">rex.utilities.bc_utils</span></code> is used here, the arguments <code class="docutils literal notranslate"><span class="pre">dist</span></code>, <code class="docutils literal notranslate"><span class="pre">n_quantiles</span></code>, <code class="docutils literal notranslate"><span class="pre">sampling</span></code>, and <code class="docutils literal notranslate"><span class="pre">log_base</span></code> must be consitent with that package/module.</p>
+</dd>
+</dl>
+</div>
+<p class="rubric">Notes</p>
+<p>One way of using this class is by saving the distributions definitions
+obtained here with the method <a class="reference internal" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.write_outputs" title="sup3r.bias.qdm.QuantileDeltaMappingCorrection.write_outputs"><code class="xref py py-meth docutils literal notranslate"><span class="pre">write_outputs()</span></code></a> and then use that
+file with <a class="reference internal" href="sup3r.bias.bias_transforms.local_qdm_bc.html#sup3r.bias.bias_transforms.local_qdm_bc" title="sup3r.bias.bias_transforms.local_qdm_bc"><code class="xref py py-func docutils literal notranslate"><span class="pre">local_qdm_bc()</span></code></a> or through
+a derived <code class="xref py py-class docutils literal notranslate"><span class="pre">DataHandler</span></code>.
+<strong>ATTENTION</strong>, be careful handling that file of parameters. There is
+no checking process and one could missuse the correction estimated for
+the wrong dataset.</p>
+<p class="rubric">References</p>
+<div role="list" class="citation-list">
+<div class="citation" id="cannon2015" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span><a role="doc-backlink" href="#id1">Cannon2015</a><span class="fn-bracket">]</span></span>
+<p>Cannon, A. J., Sobie, S. R., &amp; Murdock, T. Q. (2015).
+Bias correction of GCM precipitation by quantile mapping: how well
+do methods preserve changes in quantiles and extremes?. Journal of
+Climate, 28(17), 6938-6959.</p>
+</div>
+</div>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.compare_dists" title="sup3r.bias.qdm.QuantileDeltaMappingCorrection.compare_dists"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compare_dists</span></code></a>(base_data, bias_data[, adder, ...])</p></td>
+<td><p>Compare two distributions using the two-sample Kolmogorov-Smirnov.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.fill_and_smooth" title="sup3r.bias.qdm.QuantileDeltaMappingCorrection.fill_and_smooth"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fill_and_smooth</span></code></a>(out[, fill_extend, ...])</p></td>
+<td><p>For a given set of parameters, fill and extend missing positions</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_base_data" title="sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_base_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_base_data</span></code></a>(base_fps, base_dset, base_gid, ...)</p></td>
+<td><p>Get data from the baseline data source, possibly for many high-res base gids corresponding to a single coarse low-res bias gid.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_base_gid" title="sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_base_gid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_base_gid</span></code></a>(bias_gid)</p></td>
+<td><p>Get one or more base gid(s) corresponding to a bias gid.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_bias_data" title="sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_bias_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_bias_data</span></code></a>(bias_gid[, bias_dh])</p></td>
+<td><p>Get data from the biased data source for a single gid</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_bias_gid" title="sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_bias_gid"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_bias_gid</span></code></a>(coord)</p></td>
+<td><p>Get the bias gid from a coordinate.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_data_pair" title="sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_data_pair"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_data_pair</span></code></a>(coord[, daily_reduction])</p></td>
+<td><p>Get base and bias data observations based on a single bias gid.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_node_cmd" title="sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_node_cmd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_node_cmd</span></code></a>(config)</p></td>
+<td><p>Get a CLI call to call cls.run() on a single node based on an input config.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_qdm_params" title="sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_qdm_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_qdm_params</span></code></a>(bias_data, bias_fut_data, ...)</p></td>
+<td><p>Get quantiles' cut point for given datasets</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.pre_load" title="sup3r.bias.qdm.QuantileDeltaMappingCorrection.pre_load"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pre_load</span></code></a>()</p></td>
+<td><p>Preload all data needed for bias correction.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.run" title="sup3r.bias.qdm.QuantileDeltaMappingCorrection.run"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run</span></code></a>([fp_out, max_workers, daily_reduction, ...])</p></td>
+<td><p>Estimate the statistical distributions for each location</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.window_mask" title="sup3r.bias.qdm.QuantileDeltaMappingCorrection.window_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">window_mask</span></code></a>(doy, d0, window_size)</p></td>
+<td><p>An index of elements within a given time window</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.write_outputs" title="sup3r.bias.qdm.QuantileDeltaMappingCorrection.write_outputs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_outputs</span></code></a>(fp_out[, out])</p></td>
+<td><p>Write outputs to an .h5 file.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.distance_upper_bound" title="sup3r.bias.qdm.QuantileDeltaMappingCorrection.distance_upper_bound"><code class="xref py py-obj docutils literal notranslate"><span class="pre">distance_upper_bound</span></code></a></p></td>
+<td><p>Maximum distance (float) to map high-resolution data from exo_source to the low-resolution file_paths input.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.meta" title="sup3r.bias.qdm.QuantileDeltaMappingCorrection.meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meta</span></code></a></p></td>
+<td><p>Get a meta data dictionary on how these bias factors were calculated</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.qdm.QuantileDeltaMappingCorrection.pre_load">
+<span class="sig-name descname"><span class="pre">pre_load</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/qdm.html#QuantileDeltaMappingCorrection.pre_load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.pre_load" title="Link to this definition">#</a></dt>
+<dd><p>Preload all data needed for bias correction. This is currently
+recommended to improve performance with the new sup3r data handler
+access patterns</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_qdm_params">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_qdm_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bias_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_fut_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampling</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log_base</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/qdm.html#QuantileDeltaMappingCorrection.get_qdm_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_qdm_params" title="Link to this definition">#</a></dt>
+<dd><p>Get quantiles’ cut point for given datasets</p>
+<p>Estimate the quantiles’ cut points for each of the three given
+datasets. Lacking a good analytical approximation, such as one of
+the parametric distributions, those quantiles can be used to
+approximate the statistical distribution of those datasets.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of biased data observations.</p></li>
+<li><p><strong>bias_fut_data</strong> (<em>np.ndarray</em>) – 1D array of biased data observations.</p></li>
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – 1D array of base data observations.</p></li>
+<li><p><strong>bias_feature</strong> (<em>str</em>) – This is the biased feature from bias_fps to retrieve. This should
+be a single feature name corresponding to base_dset.</p></li>
+<li><p><strong>base_dset</strong> (<em>str</em>) – A single dataset from the base_fps to retrieve. In the case of wind
+components, this can be U_100m or V_100m which will retrieve
+windspeed and winddirection and derive the U/V component.</p></li>
+<li><p><strong>sampling</strong> (<em>str</em>) – Defines how the quantiles are sampled. For instance, ‘linear’ will
+result in a linearly spaced quantiles. Other options are: ‘log’
+and ‘invlog’.</p></li>
+<li><p><strong>n_samples</strong> (<em>int</em>) – Number of points to sample between 0 and 1, i.e. number of
+quantiles.</p></li>
+<li><p><strong>log_base</strong> (<em>int | float</em>) – Log base value.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>dict</em>) – Dictionary of the quantiles’ cut points. Note that to make sense
+of those cut point values, one need to know the given arguments
+such as <cite>log_base</cite>. For instance, the sequence [-1, 0, 2] are,
+if sampling was linear, the minimum, median, and maximum values
+respectively. The expected keys are “bias_{bias_feature}_params”,
+“bias_fut_{bias_feature}_params”, and “base_{base_dset}_params”.</p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<dl class="simple">
+<dt><code class="xref py py-obj docutils literal notranslate"><span class="pre">rex.utilities.bc_utils</span></code></dt><dd><p>Sampling scales, such as <cite>sample_q_linear()</cite></p>
+</dd>
+</dl>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.qdm.QuantileDeltaMappingCorrection.write_outputs">
+<span class="sig-name descname"><span class="pre">write_outputs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fp_out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/qdm.html#QuantileDeltaMappingCorrection.write_outputs"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.write_outputs" title="Link to this definition">#</a></dt>
+<dd><p>Write outputs to an .h5 file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>fp_out</strong> (<em>str | None</em>) – An HDF5 filename to write the estimated statistical distributions.</p></li>
+<li><p><strong>out</strong> (<em>dict, optional</em>) – A dictionary with the three statistical distribution parameters.
+If not given, it uses <code class="xref py py-attr docutils literal notranslate"><span class="pre">out</span></code>.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.qdm.QuantileDeltaMappingCorrection.run">
+<span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fp_out</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daily_reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'avg'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fill_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_interior</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/qdm.html#QuantileDeltaMappingCorrection.run"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.run" title="Link to this definition">#</a></dt>
+<dd><p>Estimate the statistical distributions for each location</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>fp_out</strong> (<em>str | None</em>) – Optional .h5 output file to write scalar and adder arrays.</p></li>
+<li><p><strong>max_workers</strong> (<em>int, optional</em>) – Number of workers to run in parallel. 1 is serial and None is all
+available.</p></li>
+<li><p><strong>daily_reduction</strong> (<em>None | str</em>) – Option to do a reduction of the hourly+ source base data to daily
+data. Can be None (no reduction, keep source time frequency), “avg”
+(daily average), “max” (daily max), “min” (daily min),
+“sum” (daily sum/total)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>dict</em>) – Dictionary with parameters defining the statistical distributions
+for each of the three given datasets. Each value has dimensions
+(lat, lon, n-parameters).</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.qdm.QuantileDeltaMappingCorrection.compare_dists">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compare_dists</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adder</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scalar</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.compare_dists" title="Link to this definition">#</a></dt>
+<dd><p>Compare two distributions using the two-sample Kolmogorov-Smirnov.
+When the output is minimized, the two distributions are similar.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – 1D array of base data observations.</p></li>
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of biased data observations.</p></li>
+<li><p><strong>adder</strong> (<em>float</em>) – Factor to adjust the biased data before comparing distributions:
+bias_data * scalar + adder</p></li>
+<li><p><strong>scalar</strong> (<em>float</em>) – Factor to adjust the biased data before comparing distributions:
+bias_data * scalar + adder</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>float</em>) – KS test statistic</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.bias.qdm.QuantileDeltaMappingCorrection.distance_upper_bound">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">distance_upper_bound</span></span><a class="headerlink" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.distance_upper_bound" title="Link to this definition">#</a></dt>
+<dd><p>Maximum distance (float) to map high-resolution data from exo_source
+to the low-resolution file_paths input.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.qdm.QuantileDeltaMappingCorrection.fill_and_smooth">
+<span class="sig-name descname"><span class="pre">fill_and_smooth</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fill_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_extend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smooth_interior</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.fill_and_smooth" title="Link to this definition">#</a></dt>
+<dd><p>For a given set of parameters, fill and extend missing positions</p>
+<p>Fill data extending beyond the base meta data extent by doing a
+nearest neighbor gap fill. Smooth interior and extended region with
+given smoothing values.
+Interior smoothing can reduce the affect of extreme values
+within aggregations over large number of pixels.
+The interior is assumed to be defined by the region without nan values.
+The extended region is assumed to be the region with nan values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p></li>
+<li><p><strong>fill_extend</strong> (<em>bool</em>) – Whether to fill data extending beyond the base meta data with
+nearest neighbor values.</p></li>
+<li><p><strong>smooth_extend</strong> (<em>float</em>) – Option to smooth the scalar/adder data outside of the spatial
+domain set by the threshold input. This alleviates the weird seams
+far from the domain of interest. This value is the standard
+deviation for the gaussian_filter kernel</p></li>
+<li><p><strong>smooth_interior</strong> (<em>float</em>) – Value to use to smooth the scalar/adder data inside of the spatial
+domain set by the threshold input. This can reduce the effect of
+extreme values within aggregations over large number of pixels.
+This value is the standard deviation for the gaussian_filter
+kernel.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>dict</em>) – Dictionary of values defining the mean/std of the bias + base
+data and the scalar + adder factors to correct the biased data
+like: bias_data * scalar + adder. Each value is of shape
+(lat, lon, time).</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_base_data">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_base_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_gid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daily_reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'avg'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decimals</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">base_dh_inst</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_base_data" title="Link to this definition">#</a></dt>
+<dd><p>Get data from the baseline data source, possibly for many high-res
+base gids corresponding to a single coarse low-res bias gid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>base_fps</strong> (<em>list | str</em>) – One or more baseline .h5 filepaths representing non-biased data to
+use to correct the biased dataset. This is typically several years
+of WTK or NSRDB files.</p></li>
+<li><p><strong>base_dset</strong> (<em>str</em>) – A single dataset from the base_fps to retrieve.</p></li>
+<li><p><strong>base_gid</strong> (<em>int | np.ndarray</em>) – One or more spatial gids to retrieve from base_fps. The data will
+be spatially averaged across all of these sites.</p></li>
+<li><p><strong>base_handler</strong> (<em>rex.Resource</em>) – A rex data handler similar to rex.Resource or sup3r.DataHandler
+classes (if using the latter, must also input base_dh_inst)</p></li>
+<li><p><strong>base_handler_kwargs</strong> (<em>dict | None</em>) – Optional kwargs to send to the initialization of the base_handler
+class</p></li>
+<li><p><strong>daily_reduction</strong> (<em>None | str</em>) – Option to do a reduction of the hourly+ source base data to daily
+data. Can be None (no reduction, keep source time frequency), “avg”
+(daily average), “max” (daily max), “min” (daily min),
+“sum” (daily sum/total)</p></li>
+<li><p><strong>decimals</strong> (<em>int | None</em>) – Option to round bias and base data to this number of
+decimals, this gets passed to np.around(). If decimals
+is negative, it specifies the number of positions to
+the left of the decimal point.</p></li>
+<li><p><strong>base_dh_inst</strong> (<em>sup3r.DataHandler</em>) – Instantiated  DataHandler class that has already loaded the base
+data (required if base files are .nc and are not being opened by a
+rex Resource handler).</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>out_data</strong> (<em>np.ndarray</em>) – 1D array of base data spatially averaged across the base_gid input
+and possibly daily-averaged or min/max’d as well.</p></li>
+<li><p><strong>out_ti</strong> (<em>pd.DatetimeIndex</em>) – DatetimeIndex object of datetimes corresponding to the
+output data.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_base_gid">
+<span class="sig-name descname"><span class="pre">get_base_gid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bias_gid</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_base_gid" title="Link to this definition">#</a></dt>
+<dd><p>Get one or more base gid(s) corresponding to a bias gid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>bias_gid</strong> (<em>int</em>) – gid of the data to retrieve in the bias data source raster data.
+The gids for this data source are the enumerated indices of the
+flattened coordinate array.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>dist</strong> (<em>np.ndarray</em>) – Array of nearest neighbor distances with length equal to the number
+of high-resolution baseline gids that map to the low resolution
+bias gid pixel.</p></li>
+<li><p><strong>base_gid</strong> (<em>np.ndarray</em>) – Array of base gids that are the nearest neighbors of bias_gid with
+length equal to the number of high-resolution baseline gids that
+map to the low resolution bias gid pixel.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_bias_data">
+<span class="sig-name descname"><span class="pre">get_bias_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bias_gid</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_dh</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_bias_data" title="Link to this definition">#</a></dt>
+<dd><p>Get data from the biased data source for a single gid</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>bias_gid</strong> (<em>int</em>) – gid of the data to retrieve in the bias data source raster data.
+The gids for this data source are the enumerated indices of the
+flattened coordinate array.</p></li>
+<li><p><strong>bias_dh</strong> (<em>DataHandler, default=self.bias_dh</em>) – Any <code class="docutils literal notranslate"><span class="pre">DataHandler</span></code> from <a class="reference internal" href="sup3r.preprocessing.html#module-sup3r.preprocessing" title="sup3r.preprocessing"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sup3r.preprocessing</span></code></a>. This optional
+argument allows an alternative handler other than the usual
+<code class="xref py py-attr docutils literal notranslate"><span class="pre">bias_dh</span></code>. For instance, the derived
+<code class="xref py py-class docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection</span></code> uses it to access the
+reference biased dataset as well as the target biased dataset.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of temporal data at the requested gid.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_bias_gid">
+<span class="sig-name descname"><span class="pre">get_bias_gid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coord</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_bias_gid" title="Link to this definition">#</a></dt>
+<dd><p>Get the bias gid from a coordinate.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>coord</strong> (<em>tuple</em>) – (lat, lon) to get data for.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>bias_gid</strong> (<em>int</em>) – gid of the data to retrieve in the bias data source raster data.
+The gids for this data source are the enumerated indices of the
+flattened coordinate array.</p></li>
+<li><p><strong>d</strong> (<em>float</em>) – Distance in decimal degrees from coord to bias gid</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_data_pair">
+<span class="sig-name descname"><span class="pre">get_data_pair</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coord</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daily_reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'avg'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_data_pair" title="Link to this definition">#</a></dt>
+<dd><p>Get base and bias data observations based on a single bias gid.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coord</strong> (<em>tuple</em>) – (lat, lon) to get data for.</p></li>
+<li><p><strong>daily_reduction</strong> (<em>None | str</em>) – Option to do a reduction of the hourly+ source base data to daily
+data. Can be None (no reduction, keep source time frequency), “avg”
+(daily average), “max” (daily max), “min” (daily min),
+“sum” (daily sum/total)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>base_data</strong> (<em>np.ndarray</em>) – 1D array of base data spatially averaged across the base_gid input
+and possibly daily-averaged or min/max’d as well.</p></li>
+<li><p><strong>bias_data</strong> (<em>np.ndarray</em>) – 1D array of temporal data at the requested gid.</p></li>
+<li><p><strong>base_dist</strong> (<em>np.ndarray</em>) – Array of nearest neighbor distances from coord to the base data
+sites with length equal to the number of high-resolution baseline
+gids that map to the low resolution bias gid pixel.</p></li>
+<li><p><strong>bias_dist</strong> (<em>Float</em>) – Nearest neighbor distance from coord to the bias data site</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_node_cmd">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_node_cmd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_node_cmd" title="Link to this definition">#</a></dt>
+<dd><p>Get a CLI call to call cls.run() on a single node based on an input
+config.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>config</strong> (<em>dict</em>) – sup3r bias calc config with all necessary args and kwargs to
+initialize the class and call run() on a single node.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.bias.qdm.QuantileDeltaMappingCorrection.meta">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">meta</span></span><a class="headerlink" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.meta" title="Link to this definition">#</a></dt>
+<dd><p>Get a meta data dictionary on how these bias factors were
+calculated</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.bias.qdm.QuantileDeltaMappingCorrection.window_mask">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">window_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">doy</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">d0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_size</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/qdm.html#QuantileDeltaMappingCorrection.window_mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.window_mask" title="Link to this definition">#</a></dt>
+<dd><p>An index of elements within a given time window</p>
+<p>Create an index of days of the year within the target time window. It
+only considers the day of the year (doy), hence, it is limited to time
+scales smaller than annual.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>doy</strong> (<em>np.ndarray</em>) – An unordered array of days of year, i.e. January 1st is 1.</p></li>
+<li><p><strong>d0</strong> (<em>int</em>) – Center point of the target window [day of year].</p></li>
+<li><p><strong>window_size</strong> (<em>float</em>) – Total size of the target window, i.e. the window covers half this
+value on each side of d0. Note that it has the same units of doy,
+thus it is equal to the number of points only if doy is daily.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>np.array</em> – An boolean array with the same shape of the given <cite>doy</cite>, where
+True means that position is within the target window.</p>
+</dd>
+</dl>
+<p class="rubric">Notes</p>
+<p>Leap years have the day 366 included in the output index, but a
+precise shift is not calculated, resulting in a negligible error
+in large datasets.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.pre_load"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.pre_load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_qdm_params"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.get_qdm_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.write_outputs"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.write_outputs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.run"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.run()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.compare_dists"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.compare_dists()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.distance_upper_bound</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.fill_and_smooth"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.fill_and_smooth()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_base_data"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.get_base_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_base_gid"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.get_base_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_bias_data"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.get_bias_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_bias_gid"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.get_bias_gid()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_data_pair"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.get_data_pair()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.meta"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.qdm.QuantileDeltaMappingCorrection.window_mask"><code class="docutils literal notranslate"><span class="pre">QuantileDeltaMappingCorrection.window_mask()</span></code></a></li>
+</ul>
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+</ul>
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+<p>QDM related methods to correct and bias and trend</p>
+<p>Procedures to apply Quantile Delta Method correction and derived methods such
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.utilities.bias_correct_feature"><code class="docutils literal notranslate"><span class="pre">bias_correct_feature()</span></code></a></li>
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+  <section id="sup3r-bias-utilities-bias-correct-feature">
+<h1>sup3r.bias.utilities.bias_correct_feature<a class="headerlink" href="#sup3r-bias-utilities-bias-correct-feature" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.bias.utilities.bias_correct_feature">
+<span class="sig-name descname"><span class="pre">bias_correct_feature</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">source_feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bc_method</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bc_kwargs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_slice</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/utilities.html#bias_correct_feature"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.utilities.bias_correct_feature" title="Link to this definition">#</a></dt>
+<dd><p>Bias correct data using a method defined by the bias_correct_method
+input to <code class="xref py py-class docutils literal notranslate"><span class="pre">ForwardPassStrategy</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>source_feature</strong> (<em>str</em>) – The source feature name corresponding to the output feature name</p></li>
+<li><p><strong>input_handler</strong> (<em>DataHandler</em>) – DataHandler storing raw input data previously used as input for
+forward passes. This is assumed to have data with shape (lats, lons,
+time, features), which can be accessed through the handler with
+handler[feature, lat_slice, lon_slice, time_slice]</p></li>
+<li><p><strong>bc_method</strong> (<em>Callable</em>) – Bias correction method from <cite>bias_transforms.py</cite></p></li>
+<li><p><strong>bc_kwargs</strong> (<em>dict</em>) – Dictionary of keyword arguments for bc_method</p></li>
+<li><p><strong>time_slice</strong> (<em>slice | None</em>) – Optional time slice to restrict bias correction domain</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>data</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – Data corrected by the bias_correct_method ready for input to the
+forward pass through the generative model.</p>
+</dd>
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+<h1>sup3r.bias.utilities.bias_correct_features<a class="headerlink" href="#sup3r-bias-utilities-bias-correct-features" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.bias.utilities.bias_correct_features">
+<span class="sig-name descname"><span class="pre">bias_correct_features</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bc_method</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bc_kwargs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_slice</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/utilities.html#bias_correct_features"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.utilities.bias_correct_features" title="Link to this definition">#</a></dt>
+<dd><p>Bias correct all feature data using a method defined by the
+bias_correct_method input to <code class="xref py py-class docutils literal notranslate"><span class="pre">ForwardPassStrategy</span></code></p>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="sup3r.bias.utilities.bias_correct_feature.html#sup3r.bias.utilities.bias_correct_feature" title="sup3r.bias.utilities.bias_correct_feature"><code class="xref py py-func docutils literal notranslate"><span class="pre">bias_correct_feature()</span></code></a></p>
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+  <section id="module-sup3r.bias.utilities">
+<span id="sup3r-bias-utilities"></span><h1>sup3r.bias.utilities<a class="headerlink" href="#module-sup3r.bias.utilities" title="Link to this heading">#</a></h1>
+<p>Bias correction methods which can be applied to data handler data.</p>
+<p class="rubric">Functions</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.bias.utilities.bias_correct_feature.html#sup3r.bias.utilities.bias_correct_feature" title="sup3r.bias.utilities.bias_correct_feature"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bias_correct_feature</span></code></a>(source_feature, ...[, ...])</p></td>
+<td><p>Bias correct data using a method defined by the bias_correct_method input to <code class="xref py py-class docutils literal notranslate"><span class="pre">ForwardPassStrategy</span></code></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.bias.utilities.bias_correct_features.html#sup3r.bias.utilities.bias_correct_features" title="sup3r.bias.utilities.bias_correct_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bias_correct_features</span></code></a>(features, ...[, ...])</p></td>
+<td><p>Bias correct all feature data using a method defined by the bias_correct_method input to <code class="xref py py-class docutils literal notranslate"><span class="pre">ForwardPassStrategy</span></code></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.bias.utilities.lin_bc.html#sup3r.bias.utilities.lin_bc" title="sup3r.bias.utilities.lin_bc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lin_bc</span></code></a>(handler, bc_files[, bias_feature, ...])</p></td>
+<td><p>Bias correct the data in this DataHandler in place using linear bias correction factors from files output by MonthlyLinearCorrection or LinearCorrection from sup3r.bias.bias_calc</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.bias.utilities.qdm_bc.html#sup3r.bias.utilities.qdm_bc" title="sup3r.bias.utilities.qdm_bc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">qdm_bc</span></code></a>(handler, bc_files, bias_feature[, ...])</p></td>
+<td><p>Bias Correction using Quantile Delta Mapping</p></td>
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+    <h1>sup3r.bias.utilities.lin_bc</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.utilities.lin_bc"><code class="docutils literal notranslate"><span class="pre">lin_bc()</span></code></a></li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-bias-utilities-lin-bc">
+<h1>sup3r.bias.utilities.lin_bc<a class="headerlink" href="#sup3r-bias-utilities-lin-bc" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.bias.utilities.lin_bc">
+<span class="sig-name descname"><span class="pre">lin_bc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bc_files</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_feature</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/utilities.html#lin_bc"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.utilities.lin_bc" title="Link to this definition">#</a></dt>
+<dd><p>Bias correct the data in this DataHandler in place using linear bias
+correction factors from files output by MonthlyLinearCorrection or
+LinearCorrection from sup3r.bias.bias_calc</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>handler</strong> (<em>DataHandler</em>) – DataHandler instance with <cite>.data</cite> attribute containing data to
+bias correct</p></li>
+<li><p><strong>bc_files</strong> (<em>list | tuple | str</em>) – One or more filepaths to .h5 files output by
+MonthlyLinearCorrection or LinearCorrection. These should contain
+datasets named “{feature}_scalar” and “{feature}_adder” where
+{feature} is one of the features contained by this DataHandler and
+the data is a 3D array of shape (lat, lon, time) where time is
+length 1 for annual correction or 12 for monthly correction.</p></li>
+<li><p><strong>bias_feature</strong> (<em>str | None</em>) – Name of the feature used as a reference. Dataset with
+name “base_{bias_feature}_scalar” and
+“base_{bias_feature}_adder” will be retrieved from <code class="docutils literal notranslate"><span class="pre">bc_files</span></code>.</p></li>
+<li><p><strong>threshold</strong> (<em>float</em>) – Nearest neighbor euclidean distance threshold. If the DataHandler
+coordinates are more than this value away from the bias correction
+lat/lon, an error is raised.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
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+    <h1>sup3r.bias.utilities.qdm_bc</h1>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.bias.utilities.qdm_bc"><code class="docutils literal notranslate"><span class="pre">qdm_bc()</span></code></a></li>
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+  <section id="sup3r-bias-utilities-qdm-bc">
+<h1>sup3r.bias.utilities.qdm_bc<a class="headerlink" href="#sup3r-bias-utilities-qdm-bc" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.bias.utilities.qdm_bc">
+<span class="sig-name descname"><span class="pre">qdm_bc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bc_files</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">relative</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">no_trend</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/bias/utilities.html#qdm_bc"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.bias.utilities.qdm_bc" title="Link to this definition">#</a></dt>
+<dd><p>Bias Correction using Quantile Delta Mapping</p>
+<p>Bias correct this DataHandler’s data with Quantile Delta Mapping. The
+required statistical distributions should be pre-calculated using
+<code class="xref py py-class docutils literal notranslate"><span class="pre">sup3r.bias.bias_calc.QuantileDeltaMappingCorrection</span></code>.</p>
+<p>Warning: There is no guarantee that the coefficients from <code class="docutils literal notranslate"><span class="pre">bc_files</span></code>
+match the resource processed here. Be careful choosing <code class="docutils literal notranslate"><span class="pre">bc_files</span></code>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>handler</strong> (<em>DataHandler</em>) – DataHandler instance with <cite>.data</cite> attribute containing data to
+bias correct</p></li>
+<li><p><strong>bc_files</strong> (<em>list | tuple | str</em>) – One or more filepaths to .h5 files output by
+<code class="xref py py-class docutils literal notranslate"><span class="pre">bias_calc.QuantileDeltaMappingCorrection</span></code>. These should
+contain datasets named “base_{bias_feature}_params”,
+“bias_{feature}_params”, and “bias_fut_{feature}_params” where
+{feature} is one of the features contained by this DataHandler and
+the data is a 3D array of shape (lat, lon, time) where time.</p></li>
+<li><p><strong>bias_feature</strong> (<em>str</em>) – Name of the feature used as (historical) reference. Dataset with
+name “base_{bias_feature}_params” will be retrieved from
+<code class="docutils literal notranslate"><span class="pre">bc_files</span></code>.</p></li>
+<li><p><strong>relative</strong> (<em>bool, default=True</em>) – Switcher to apply QDM as a relative (use True) or absolute (use
+False) correction value.</p></li>
+<li><p><strong>threshold</strong> (<em>float, default=0.1</em>) – Nearest neighbor euclidean distance threshold. If the DataHandler
+coordinates are more than this value away from the bias correction
+lat/lon, an error is raised.</p></li>
+<li><p><strong>no_trend</strong> (<em>bool, default=False</em>) – An option to ignore the trend component of the correction, thus
+resulting in an ordinary Quantile Mapping, i.e. corrects the bias
+by comparing the distributions of the biased dataset with a
+reference datasets. See <code class="docutils literal notranslate"><span class="pre">params_mf</span></code> of
+<code class="xref py py-class docutils literal notranslate"><span class="pre">rex.utilities.bc_utils.QuantileDeltaMapping</span></code>.
+Note that this assumes that “bias_{feature}_params”
+(<code class="docutils literal notranslate"><span class="pre">params_mh</span></code>) is the data distribution representative for the
+target data.</p></li>
+</ul>
+</dd>
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+  <section id="module-sup3r">
+<span id="sup3r"></span><h1>sup3r<a class="headerlink" href="#module-sup3r" title="Link to this heading">#</a></h1>
+<p>Super Resolving Renewable Energy Resource Data (SUP3R)</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.batch.html#module-sup3r.batch" title="sup3r.batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">batch</span></code></a></p></td>
+<td><p>sup3r batch utilities based on GAPS batch module</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.bias.html#module-sup3r.bias" title="sup3r.bias"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bias</span></code></a></p></td>
+<td><p>Bias calculation and correction modules.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.cli.html#module-sup3r.cli" title="sup3r.cli"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cli</span></code></a></p></td>
+<td><p>Sup3r command line interface (CLI).</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.models.html#module-sup3r.models" title="sup3r.models"><code class="xref py py-obj docutils literal notranslate"><span class="pre">models</span></code></a></p></td>
+<td><p>Sup3r Model Software</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.pipeline.html#module-sup3r.pipeline" title="sup3r.pipeline"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pipeline</span></code></a></p></td>
+<td><p>Sup3r data pipeline architecture.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.postprocessing.html#module-sup3r.postprocessing" title="sup3r.postprocessing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">postprocessing</span></code></a></p></td>
+<td><p>Post processing module</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.html#module-sup3r.preprocessing" title="sup3r.preprocessing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preprocessing</span></code></a></p></td>
+<td><p>Sup3r preprocessing module.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.qa.html#module-sup3r.qa" title="sup3r.qa"><code class="xref py py-obj docutils literal notranslate"><span class="pre">qa</span></code></a></p></td>
+<td><p>sup3r QA module.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.solar.html#module-sup3r.solar" title="sup3r.solar"><code class="xref py py-obj docutils literal notranslate"><span class="pre">solar</span></code></a></p></td>
+<td><p>Custom sup3r solar module.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.utilities.html#module-sup3r.utilities" title="sup3r.utilities"><code class="xref py py-obj docutils literal notranslate"><span class="pre">utilities</span></code></a></p></td>
+<td><p>Sup3r utilities</p></td>
+</tr>
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+    <h1>sup3r.models.abstract.AbstractInterface</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface"><code class="docutils literal notranslate"><span class="pre">AbstractInterface</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.load"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.generate"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.generate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.seed"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.seed()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.input_dims"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.input_dims</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.is_5d"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.is_5d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.is_4d"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.is_4d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.get_s_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.get_s_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.get_t_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.get_t_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.s_enhance"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.s_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.t_enhance"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.t_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.s_enhancements"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.s_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.t_enhancements"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.t_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.input_resolution"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.input_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.output_resolution"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.output_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.meta"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.lr_features"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.lr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.hr_out_features"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.smoothing"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.smoothing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.smoothed_features"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.smoothed_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.model_params"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.model_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.version_record"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.version_record</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.set_model_params"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.set_model_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.save_params"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.save_params()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-models-abstract-abstractinterface">
+<h1>sup3r.models.abstract.AbstractInterface<a class="headerlink" href="#sup3r-models-abstract-abstractinterface" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">AbstractInterface</span></span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractInterface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/abc.html#abc.ABC" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">ABC</span></code></a></p>
+<p>Abstract class to define the required interface for Sup3r model subclasses</p>
+<p>Note that this only sets the required interfaces for a GAN that can be
+loaded from disk and used to predict synthetic outputs. The interface for
+models that can be trained will be set in another class.</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractInterface.generate" title="sup3r.models.abstract.AbstractInterface.generate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">generate</span></code></a>(low_res[, norm_in, un_norm_out, ...])</p></td>
+<td><p>Use the generator model to generate high res data from low res input.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractInterface.get_s_enhance_from_layers" title="sup3r.models.abstract.AbstractInterface.get_s_enhance_from_layers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_s_enhance_from_layers</span></code></a>()</p></td>
+<td><p>Compute factor by which model will enhance spatial resolution from layer attributes.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractInterface.get_t_enhance_from_layers" title="sup3r.models.abstract.AbstractInterface.get_t_enhance_from_layers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_t_enhance_from_layers</span></code></a>()</p></td>
+<td><p>Compute factor by which model will enhance temporal resolution from layer attributes.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractInterface.load" title="sup3r.models.abstract.AbstractInterface.load"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load</span></code></a>(model_dir[, verbose])</p></td>
+<td><p>Load the GAN with its sub-networks from a previously saved-to output directory.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractInterface.save_params" title="sup3r.models.abstract.AbstractInterface.save_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save_params</span></code></a>(out_dir)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractInterface.seed" title="sup3r.models.abstract.AbstractInterface.seed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">seed</span></code></a>([s])</p></td>
+<td><p>Set the random seed for reproducible results.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractInterface.set_model_params" title="sup3r.models.abstract.AbstractInterface.set_model_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_model_params</span></code></a>(**kwargs)</p></td>
+<td><p>Set parameters used for training the model</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractInterface.hr_exo_features" title="sup3r.models.abstract.AbstractInterface.hr_exo_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_exo_features</span></code></a></p></td>
+<td><p>Get list of high-resolution exogenous filter names the model uses.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractInterface.hr_out_features" title="sup3r.models.abstract.AbstractInterface.hr_out_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_out_features</span></code></a></p></td>
+<td><p>Get the list of high-resolution output feature names that the generative model outputs.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractInterface.input_dims" title="sup3r.models.abstract.AbstractInterface.input_dims"><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_dims</span></code></a></p></td>
+<td><p>Get dimension of model generator input.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractInterface.input_resolution" title="sup3r.models.abstract.AbstractInterface.input_resolution"><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_resolution</span></code></a></p></td>
+<td><p>Resolution of input data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractInterface.is_4d" title="sup3r.models.abstract.AbstractInterface.is_4d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_4d</span></code></a></p></td>
+<td><p>Check if model expects spatial only input</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractInterface.is_5d" title="sup3r.models.abstract.AbstractInterface.is_5d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_5d</span></code></a></p></td>
+<td><p>Check if model expects spatiotemporal input</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractInterface.lr_features" title="sup3r.models.abstract.AbstractInterface.lr_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_features</span></code></a></p></td>
+<td><p>Get a list of low-resolution features input to the generative model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractInterface.meta" title="sup3r.models.abstract.AbstractInterface.meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meta</span></code></a></p></td>
+<td><p>Get meta data dictionary that defines how the model was created</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractInterface.model_params" title="sup3r.models.abstract.AbstractInterface.model_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">model_params</span></code></a></p></td>
+<td><p>Model parameters, used to save model to disc</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractInterface.output_resolution" title="sup3r.models.abstract.AbstractInterface.output_resolution"><code class="xref py py-obj docutils literal notranslate"><span class="pre">output_resolution</span></code></a></p></td>
+<td><p>Resolution of output data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractInterface.s_enhance" title="sup3r.models.abstract.AbstractInterface.s_enhance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhance</span></code></a></p></td>
+<td><p>Factor by which model will enhance spatial resolution.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractInterface.s_enhancements" title="sup3r.models.abstract.AbstractInterface.s_enhancements"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhancements</span></code></a></p></td>
+<td><p>List of spatial enhancement factors.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractInterface.smoothed_features" title="sup3r.models.abstract.AbstractInterface.smoothed_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">smoothed_features</span></code></a></p></td>
+<td><p>Get the list of smoothed input feature names that the generative model was trained on.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractInterface.smoothing" title="sup3r.models.abstract.AbstractInterface.smoothing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">smoothing</span></code></a></p></td>
+<td><p>Value of smoothing parameter used in gaussian filtering of coarsened high res data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractInterface.t_enhance" title="sup3r.models.abstract.AbstractInterface.t_enhance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhance</span></code></a></p></td>
+<td><p>Factor by which model will enhance temporal resolution.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractInterface.t_enhancements" title="sup3r.models.abstract.AbstractInterface.t_enhancements"><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhancements</span></code></a></p></td>
+<td><p>List of temporal enhancement factors.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractInterface.version_record" title="sup3r.models.abstract.AbstractInterface.version_record"><code class="xref py py-obj docutils literal notranslate"><span class="pre">version_record</span></code></a></p></td>
+<td><p>A record of important versions that this model was built with.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface.load">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_dir</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractInterface.load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface.load" title="Link to this definition">#</a></dt>
+<dd><p>Load the GAN with its sub-networks from a previously saved-to output
+directory.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>model_dir</strong> – Directory to load GAN model files from.</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to log information about the loaded model.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>BaseModel</em>) – Returns a pretrained gan model that was previously saved to
+model_dir</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface.generate">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">generate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_in</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">un_norm_out</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">exogenous_data</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractInterface.generate"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface.generate" title="Link to this definition">#</a></dt>
+<dd><p>Use the generator model to generate high res data from low res
+input. This is the public generate function.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface.seed">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">seed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractInterface.seed"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface.seed" title="Link to this definition">#</a></dt>
+<dd><p>Set the random seed for reproducible results.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>s</strong> (<em>int</em>) – Random seed</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface.input_dims">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">input_dims</span></span><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface.input_dims" title="Link to this definition">#</a></dt>
+<dd><p>Get dimension of model generator input. This is usually 4D for
+spatial models and 5D for spatiotemporal models. This gives the input
+to the first step if the model is multi-step. Returns 5 for linear
+models.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>int</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface.is_5d">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_5d</span></span><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface.is_5d" title="Link to this definition">#</a></dt>
+<dd><p>Check if model expects spatiotemporal input</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface.is_4d">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_4d</span></span><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface.is_4d" title="Link to this definition">#</a></dt>
+<dd><p>Check if model expects spatial only input</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface.get_s_enhance_from_layers">
+<span class="sig-name descname"><span class="pre">get_s_enhance_from_layers</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractInterface.get_s_enhance_from_layers"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface.get_s_enhance_from_layers" title="Link to this definition">#</a></dt>
+<dd><p>Compute factor by which model will enhance spatial resolution from
+layer attributes. Used in model training during high res coarsening</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface.get_t_enhance_from_layers">
+<span class="sig-name descname"><span class="pre">get_t_enhance_from_layers</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractInterface.get_t_enhance_from_layers"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface.get_t_enhance_from_layers" title="Link to this definition">#</a></dt>
+<dd><p>Compute factor by which model will enhance temporal resolution from
+layer attributes. Used in model training during high res coarsening</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface.s_enhance">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_enhance</span></span><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface.s_enhance" title="Link to this definition">#</a></dt>
+<dd><p>Factor by which model will enhance spatial resolution. Used in
+model training during high res coarsening and also in forward pass
+routine to determine shape of needed exogenous data</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface.t_enhance">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">t_enhance</span></span><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface.t_enhance" title="Link to this definition">#</a></dt>
+<dd><p>Factor by which model will enhance temporal resolution. Used in
+model training during high res coarsening and also in forward pass
+routine to determine shape of needed exogenous data</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface.s_enhancements">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_enhancements</span></span><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface.s_enhancements" title="Link to this definition">#</a></dt>
+<dd><p>List of spatial enhancement factors. In the case of a single step
+model this is just <code class="docutils literal notranslate"><span class="pre">[self.s_enhance]</span></code>. This is used to determine
+shapes of needed exogenous data in forward pass routine</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface.t_enhancements">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">t_enhancements</span></span><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface.t_enhancements" title="Link to this definition">#</a></dt>
+<dd><p>List of temporal enhancement factors. In the case of a single step
+model this is just <code class="docutils literal notranslate"><span class="pre">[self.t_enhance]</span></code>. This is used to determine
+shapes of needed exogenous data in forward pass routine</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface.input_resolution">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">input_resolution</span></span><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface.input_resolution" title="Link to this definition">#</a></dt>
+<dd><p>Resolution of input data. Given as a dictionary
+<code class="docutils literal notranslate"><span class="pre">{'spatial':</span> <span class="pre">'...km',</span> <span class="pre">'temporal':</span> <span class="pre">'...min'}</span></code>. The numbers are
+required to be integers in the units specified. The units are not
+strict as long as the resolution of the exogenous data, when extracting
+exogenous data, is specified in the same units.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface.output_resolution">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_resolution</span></span><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface.output_resolution" title="Link to this definition">#</a></dt>
+<dd><p>Resolution of output data. Given as a dictionary
+{‘spatial’: ‘…km’, ‘temporal’: ‘…min’}. This is computed from the
+input resolution and the enhancement factors.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface.meta">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">meta</span></span><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface.meta" title="Link to this definition">#</a></dt>
+<dd><p>Get meta data dictionary that defines how the model was created</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface.lr_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_features</span></span><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface.lr_features" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of low-resolution features input to the generative model.
+This includes low-resolution features that might be supplied
+exogenously at inference time but that were in the low-res batches
+during training</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface.hr_out_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_out_features</span></span><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface.hr_out_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the list of high-resolution output feature names that the
+generative model outputs.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface.hr_exo_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_exo_features</span></span><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface.hr_exo_features" title="Link to this definition">#</a></dt>
+<dd><p>Get list of high-resolution exogenous filter names the model uses.
+If the model has N concat or add layers this list will be the last N
+features in the training features list. The ordering is assumed to be
+the same as the order of concat or add layers. If training features is
+[…, topo, sza], and the model has 2 concat or add layers, exo
+features will be [topo, sza]. Topo will then be used in the first
+concat layer and sza will be used in the second</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface.smoothing">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">smoothing</span></span><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface.smoothing" title="Link to this definition">#</a></dt>
+<dd><p>Value of smoothing parameter used in gaussian filtering of coarsened
+high res data.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface.smoothed_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">smoothed_features</span></span><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface.smoothed_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the list of smoothed input feature names that the generative
+model was trained on.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface.model_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">model_params</span></span><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface.model_params" title="Link to this definition">#</a></dt>
+<dd><p>Model parameters, used to save model to disc</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>dict</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface.version_record">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">version_record</span></span><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface.version_record" title="Link to this definition">#</a></dt>
+<dd><p>A record of important versions that this model was built with.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>dict</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface.set_model_params">
+<span class="sig-name descname"><span class="pre">set_model_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractInterface.set_model_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface.set_model_params" title="Link to this definition">#</a></dt>
+<dd><p>Set parameters used for training the model</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>kwargs</strong> (<em>dict</em>) – Keyword arguments including ‘input_resolution’,
+‘lr_features’, ‘hr_exo_features’, ‘hr_out_features’,
+‘smoothed_features’, ‘s_enhance’, ‘t_enhance’, ‘smoothing’</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractInterface.save_params">
+<span class="sig-name descname"><span class="pre">save_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractInterface.save_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractInterface.save_params" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>out_dir</strong> (<em>str</em>) – Directory to save linear model params. This directory will be
+created if it does not already exist.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
+              
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+    <i class="fa-solid fa-list"></i> Contents
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+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface"><code class="docutils literal notranslate"><span class="pre">AbstractInterface</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.load"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.generate"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.generate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.seed"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.seed()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.input_dims"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.input_dims</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.is_5d"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.is_5d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.is_4d"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.is_4d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.get_s_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.get_s_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.get_t_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.get_t_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.s_enhance"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.s_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.t_enhance"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.t_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.s_enhancements"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.s_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.t_enhancements"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.t_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.input_resolution"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.input_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.output_resolution"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.output_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.meta"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.lr_features"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.lr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.hr_out_features"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.smoothing"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.smoothing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.smoothed_features"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.smoothed_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.model_params"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.model_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.version_record"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.version_record</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.set_model_params"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.set_model_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractInterface.save_params"><code class="docutils literal notranslate"><span class="pre">AbstractInterface.save_params()</span></code></a></li>
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+    <h1>sup3r.models.abstract.AbstractSingleModel</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
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+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.load_network"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.load_network()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.means"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.means</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.stdevs"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.stdevs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.set_norm_stats"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.set_norm_stats()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.norm_input"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.norm_input()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.un_norm_output"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.un_norm_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.optimizer"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.optimizer</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.history"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.history</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.generator"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.generator</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.generator_weights"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.generator_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.init_optimizer"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.init_optimizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.load_saved_params"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.load_saved_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.get_high_res_exo_input"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.get_high_res_exo_input()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.get_loss_fun"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.get_loss_fun()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.get_optimizer_config"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.get_optimizer_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.get_optimizer_state"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.get_optimizer_state()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.update_loss_details"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.update_loss_details()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.log_loss_details"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.log_loss_details()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.early_stop"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.early_stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.save"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.save()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.finish_epoch"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.finish_epoch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.run_gradient_descent"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.run_gradient_descent()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.generate"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.generate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.dict_to_tensorboard"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.dict_to_tensorboard()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.get_single_grad"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.get_single_grad()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.profile_to_tensorboard"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.profile_to_tensorboard()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.total_batches"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.total_batches</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-models-abstract-abstractsinglemodel">
+<h1>sup3r.models.abstract.AbstractSingleModel<a class="headerlink" href="#sup3r-models-abstract-abstractsinglemodel" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">AbstractSingleModel</span></span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractSingleModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/abc.html#abc.ABC" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">ABC</span></code></a>, <a class="reference internal" href="sup3r.models.abstract.TensorboardMixIn.html#sup3r.models.abstract.TensorboardMixIn" title="sup3r.models.abstract.TensorboardMixIn"><code class="xref py py-class docutils literal notranslate"><span class="pre">TensorboardMixIn</span></code></a></p>
+<p>Abstract class to define the required training interface
+for Sup3r model subclasses</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.dict_to_tensorboard" title="sup3r.models.abstract.AbstractSingleModel.dict_to_tensorboard"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dict_to_tensorboard</span></code></a>(entry)</p></td>
+<td><p>Write data to tensorboard log file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.early_stop" title="sup3r.models.abstract.AbstractSingleModel.early_stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">early_stop</span></code></a>(history, column[, threshold, n_epoch])</p></td>
+<td><p>Determine whether to stop training early based on nearly no change to validation loss for a certain number of consecutive epochs.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.finish_epoch" title="sup3r.models.abstract.AbstractSingleModel.finish_epoch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">finish_epoch</span></code></a>(epoch, epochs, t0, ...[, extras])</p></td>
+<td><p>Perform finishing checks after an epoch is done training</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.generate" title="sup3r.models.abstract.AbstractSingleModel.generate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">generate</span></code></a>(low_res[, norm_in, un_norm_out, ...])</p></td>
+<td><p>Use the generator model to generate high res data from low res input.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.get_high_res_exo_input" title="sup3r.models.abstract.AbstractSingleModel.get_high_res_exo_input"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_high_res_exo_input</span></code></a>(high_res)</p></td>
+<td><p>Get exogenous feature data from high_res</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.get_loss_fun" title="sup3r.models.abstract.AbstractSingleModel.get_loss_fun"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_loss_fun</span></code></a>(loss)</p></td>
+<td><p>Get the initialized loss function class from the sup3r loss library or the tensorflow losses.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.get_optimizer_config" title="sup3r.models.abstract.AbstractSingleModel.get_optimizer_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_optimizer_config</span></code></a>(optimizer)</p></td>
+<td><p>Get a config that defines the current model optimizer</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.get_optimizer_state" title="sup3r.models.abstract.AbstractSingleModel.get_optimizer_state"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_optimizer_state</span></code></a>(optimizer)</p></td>
+<td><p>Get a set of state variables for the optimizer</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.get_single_grad" title="sup3r.models.abstract.AbstractSingleModel.get_single_grad"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_single_grad</span></code></a>(low_res, hi_res_true, ...[, ...])</p></td>
+<td><p>Run gradient descent for one mini-batch of (low_res, hi_res_true), do not update weights, just return gradient details.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.init_optimizer" title="sup3r.models.abstract.AbstractSingleModel.init_optimizer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_optimizer</span></code></a>(optimizer, learning_rate)</p></td>
+<td><p>Initialize keras optimizer object.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.load_network" title="sup3r.models.abstract.AbstractSingleModel.load_network"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load_network</span></code></a>(model, name)</p></td>
+<td><p>Load a CustomNetwork object from hidden layers config, .json file config, or .pkl file saved pre-trained model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.load_saved_params" title="sup3r.models.abstract.AbstractSingleModel.load_saved_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load_saved_params</span></code></a>(out_dir[, verbose])</p></td>
+<td><p>Load saved model_params (you need this and the gen+disc models to load a full model).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.log_loss_details" title="sup3r.models.abstract.AbstractSingleModel.log_loss_details"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_loss_details</span></code></a>(loss_details[, level])</p></td>
+<td><p>Log the loss details to the module logger.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.norm_input" title="sup3r.models.abstract.AbstractSingleModel.norm_input"><code class="xref py py-obj docutils literal notranslate"><span class="pre">norm_input</span></code></a>(low_res)</p></td>
+<td><p>Normalize low resolution data being input to the generator.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.profile_to_tensorboard" title="sup3r.models.abstract.AbstractSingleModel.profile_to_tensorboard"><code class="xref py py-obj docutils literal notranslate"><span class="pre">profile_to_tensorboard</span></code></a>(name)</p></td>
+<td><p>Write profile data to tensorboard log file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.run_gradient_descent" title="sup3r.models.abstract.AbstractSingleModel.run_gradient_descent"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run_gradient_descent</span></code></a>(low_res, hi_res_true, ...)</p></td>
+<td><p>Run gradient descent for one mini-batch of (low_res, hi_res_true) and update weights</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.save" title="sup3r.models.abstract.AbstractSingleModel.save"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save</span></code></a>(out_dir)</p></td>
+<td><p>Save the model with its sub-networks to a directory.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.set_norm_stats" title="sup3r.models.abstract.AbstractSingleModel.set_norm_stats"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_norm_stats</span></code></a>(new_means, new_stdevs)</p></td>
+<td><p>Set the normalization statistics associated with a data batch handler to model attributes.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.un_norm_output" title="sup3r.models.abstract.AbstractSingleModel.un_norm_output"><code class="xref py py-obj docutils literal notranslate"><span class="pre">un_norm_output</span></code></a>(output)</p></td>
+<td><p>Un-normalize synthetically generated output data to physical units</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.update_loss_details" title="sup3r.models.abstract.AbstractSingleModel.update_loss_details"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_loss_details</span></code></a>(loss_details, new_data, ...)</p></td>
+<td><p>Update a dictionary of loss_details with loss information from a new batch.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.generator" title="sup3r.models.abstract.AbstractSingleModel.generator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">generator</span></code></a></p></td>
+<td><p>Get the generative model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.generator_weights" title="sup3r.models.abstract.AbstractSingleModel.generator_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">generator_weights</span></code></a></p></td>
+<td><p>Get a list of layer weights and bias terms for the generator model.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.history" title="sup3r.models.abstract.AbstractSingleModel.history"><code class="xref py py-obj docutils literal notranslate"><span class="pre">history</span></code></a></p></td>
+<td><p>Model training history DataFrame (None if not yet trained)</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.means" title="sup3r.models.abstract.AbstractSingleModel.means"><code class="xref py py-obj docutils literal notranslate"><span class="pre">means</span></code></a></p></td>
+<td><p>Get the data normalization mean values.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.optimizer" title="sup3r.models.abstract.AbstractSingleModel.optimizer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">optimizer</span></code></a></p></td>
+<td><p>Get the tensorflow optimizer to perform gradient descent calculations for the generative network.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.stdevs" title="sup3r.models.abstract.AbstractSingleModel.stdevs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stdevs</span></code></a></p></td>
+<td><p>Get the data normalization standard deviation values.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.AbstractSingleModel.total_batches" title="sup3r.models.abstract.AbstractSingleModel.total_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">total_batches</span></code></a></p></td>
+<td><p>Record of total number of batches for logging.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.load_network">
+<span class="sig-name descname"><span class="pre">load_network</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractSingleModel.load_network"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.load_network" title="Link to this definition">#</a></dt>
+<dd><p>Load a CustomNetwork object from hidden layers config, .json file
+config, or .pkl file saved pre-trained model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>model</strong> (<em>str | dict</em>) – Model hidden layers config, a .json with “hidden_layers” key, or a
+.pkl for a saved pre-trained model.</p></li>
+<li><p><strong>name</strong> (<em>str</em>) – Name of the model to be loaded</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>model</strong> (<em>phygnn.CustomNetwork</em>) – CustomNetwork object initialized from the model input.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.means">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">means</span></span><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.means" title="Link to this definition">#</a></dt>
+<dd><p>Get the data normalization mean values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>np.ndarray</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.stdevs">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">stdevs</span></span><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.stdevs" title="Link to this definition">#</a></dt>
+<dd><p>Get the data normalization standard deviation values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>np.ndarray</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.set_norm_stats">
+<span class="sig-name descname"><span class="pre">set_norm_stats</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">new_means</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_stdevs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractSingleModel.set_norm_stats"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.set_norm_stats" title="Link to this definition">#</a></dt>
+<dd><p>Set the normalization statistics associated with a data batch
+handler to model attributes.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>new_means</strong> (<em>dict | None</em>) – Set of mean values for data normalization keyed by feature name.
+Can be used to maintain a consistent normalization scheme between
+transfer learning domains.</p></li>
+<li><p><strong>new_stdevs</strong> (<em>dict | None</em>) – Set of stdev values for data normalization keyed by feature name.
+Can be used to maintain a consistent normalization scheme between
+transfer learning domains.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.norm_input">
+<span class="sig-name descname"><span class="pre">norm_input</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractSingleModel.norm_input"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.norm_input" title="Link to this definition">#</a></dt>
+<dd><p>Normalize low resolution data being input to the generator.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>low_res</strong> (<em>np.ndarray</em>) – Un-normalized low-resolution input data in physical units, usually
+a 4D or 5D array of shape:
+(n_obs, spatial_1, spatial_2, n_features)
+(n_obs, spatial_1, spatial_2, n_temporal, n_features)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>low_res</strong> (<em>np.ndarray</em>) – Normalized low-resolution input data, usually a 4D or 5D array of
+shape:
+(n_obs, spatial_1, spatial_2, n_features)
+(n_obs, spatial_1, spatial_2, n_temporal, n_features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.un_norm_output">
+<span class="sig-name descname"><span class="pre">un_norm_output</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">output</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractSingleModel.un_norm_output"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.un_norm_output" title="Link to this definition">#</a></dt>
+<dd><p>Un-normalize synthetically generated output data to physical units</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>output</strong> (<em>tf.Tensor | np.ndarray</em>) – Synthetically generated high-resolution data</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>output</strong> (<em>np.ndarray</em>) – Synthetically generated high-resolution data</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.optimizer">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">optimizer</span></span><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.optimizer" title="Link to this definition">#</a></dt>
+<dd><p>Get the tensorflow optimizer to perform gradient descent
+calculations for the generative network. This is functionally identical
+to optimizer_disc is no special optimizer model or learning rate was
+specified for the disc.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>tf.keras.optimizers.Optimizer</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.history">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">history</span></span><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.history" title="Link to this definition">#</a></dt>
+<dd><p>Model training history DataFrame (None if not yet trained)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>pandas.DataFrame | None</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.generator">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">generator</span></span><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.generator" title="Link to this definition">#</a></dt>
+<dd><p>Get the generative model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>phygnn.base.CustomNetwork</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.generator_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">generator_weights</span></span><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.generator_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of layer weights and bias terms for the generator model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>list</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.init_optimizer">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">init_optimizer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">optimizer</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractSingleModel.init_optimizer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.init_optimizer" title="Link to this definition">#</a></dt>
+<dd><p>Initialize keras optimizer object.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer | dict | None | str</em>) – Instantiated tf.keras.optimizers object or a dict optimizer config
+from tf.keras.optimizers.get_config(). None defaults to Adam.</p></li>
+<li><p><strong>learning_rate</strong> (<em>float, optional</em>) – Optimizer learning rate. Not used if optimizer input arg is a
+pre-initialized object or if optimizer input arg is a config dict.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer</em>) – Initialized optimizer object.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.load_saved_params">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">load_saved_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractSingleModel.load_saved_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.load_saved_params" title="Link to this definition">#</a></dt>
+<dd><p>Load saved model_params (you need this and the gen+disc models
+to load a full model).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>out_dir</strong> (<em>str</em>) – Directory to load model files from.</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to log information about the loaded model.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>params</strong> (<em>dict</em>) – Model parameters loaded from disk json file. This should be the
+same as self.model_params with and additional ‘history’ entry.
+Should be all the kwargs you need to init a model.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.get_high_res_exo_input">
+<span class="sig-name descname"><span class="pre">get_high_res_exo_input</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractSingleModel.get_high_res_exo_input"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.get_high_res_exo_input" title="Link to this definition">#</a></dt>
+<dd><p>Get exogenous feature data from high_res</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>high_res</strong> (<em>tf.Tensor</em>) – Ground truth high resolution spatiotemporal data.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>exo_data</strong> (<em>dict</em>) – Dictionary of exogenous feature data used as input to tf_generate.
+e.g. <code class="docutils literal notranslate"><span class="pre">{'topography':</span> <span class="pre">tf.Tensor(...)}</span></code></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.get_loss_fun">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_loss_fun</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">loss</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractSingleModel.get_loss_fun"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.get_loss_fun" title="Link to this definition">#</a></dt>
+<dd><p>Get the initialized loss function class from the sup3r loss library
+or the tensorflow losses.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>loss</strong> (<em>str | dict</em>) – Loss function class name from sup3r.utilities.loss_metrics
+(prioritized) or tensorflow.keras.losses. Defaults to
+tf.keras.losses.MeanSquaredError. This can be provided as a dict
+with kwargs for loss functions with extra parameters.
+e.g. {‘SpatialExtremesLoss’: {‘weight’: 0.5}}</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>tf.keras.losses.Loss</em>) – Initialized loss function class that is callable, e.g. if
+“MeanSquaredError” is requested, this will return
+an instance of tf.keras.losses.MeanSquaredError()</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.get_optimizer_config">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_optimizer_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">optimizer</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractSingleModel.get_optimizer_config"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.get_optimizer_config" title="Link to this definition">#</a></dt>
+<dd><p>Get a config that defines the current model optimizer</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer</em>) – TF-Keras optimizer object (e.g., Adam)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>config</strong> (<em>dict</em>) – Optimizer config</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.get_optimizer_state">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_optimizer_state</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">optimizer</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractSingleModel.get_optimizer_state"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.get_optimizer_state" title="Link to this definition">#</a></dt>
+<dd><p>Get a set of state variables for the optimizer</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer</em>) – TF-Keras optimizer object (e.g., Adam)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>state</strong> (<em>dict</em>) – Optimizer state variables</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.update_loss_details">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">update_loss_details</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">loss_details</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_len</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prefix</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractSingleModel.update_loss_details"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.update_loss_details" title="Link to this definition">#</a></dt>
+<dd><p>Update a dictionary of loss_details with loss information from a new
+batch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components where each value is a
+running average at the current state in the epoch.</p></li>
+<li><p><strong>new_data</strong> (<em>dict</em>) – Namespace of the breakdown of loss components for a single new
+batch.</p></li>
+<li><p><strong>batch_len</strong> (<em>int</em>) – Length of the incoming batch.</p></li>
+<li><p><strong>prefix</strong> (<em>None | str</em>) – Option to prefix the names of the loss data when saving to the
+loss_details dictionary.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_details</strong> (<em>dict</em>) – Same as input loss_details but with running averages updated.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.log_loss_details">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">log_loss_details</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">loss_details</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">level</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'INFO'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractSingleModel.log_loss_details"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.log_loss_details" title="Link to this definition">#</a></dt>
+<dd><p>Log the loss details to the module logger.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components where each value is a
+running average at the current state in the epoch.</p></li>
+<li><p><strong>level</strong> (<em>str</em>) – Log level (e.g. INFO, DEBUG)</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.early_stop">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">early_stop</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">history</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.005</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractSingleModel.early_stop"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.early_stop" title="Link to this definition">#</a></dt>
+<dd><p>Determine whether to stop training early based on nearly no change
+to validation loss for a certain number of consecutive epochs.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>history</strong> (<em>pd.DataFrame | None</em>) – Model training history</p></li>
+<li><p><strong>column</strong> (<em>str</em>) – Column from the model training history to evaluate for early
+termination.</p></li>
+<li><p><strong>threshold</strong> (<em>float</em>) – The absolute relative fractional difference in validation loss
+between subsequent epochs below which an early termination is
+warranted. E.g. if val losses were 0.1 and 0.0998 the relative
+diff would be calculated as 0.0002 / 0.1 = 0.002 which would be
+less than the default thresold of 0.01 and would satisfy the
+condition for early termination.</p></li>
+<li><p><strong>n_epoch</strong> (<em>int</em>) – The number of consecutive epochs that satisfy the threshold that
+warrants an early stop.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>stop</strong> (<em>bool</em>) – Flag to stop training (True) or keep going (False).</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.save">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractSingleModel.save"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.save" title="Link to this definition">#</a></dt>
+<dd><p>Save the model with its sub-networks to a directory.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>out_dir</strong> (<em>str</em>) – Directory to save model files. This directory will be created
+if it does not already exist.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.finish_epoch">
+<span class="sig-name descname"><span class="pre">finish_epoch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epochs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">loss_details</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint_int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_on</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_threshold</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_n_epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extras</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractSingleModel.finish_epoch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.finish_epoch" title="Link to this definition">#</a></dt>
+<dd><p>Perform finishing checks after an epoch is done training</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>epoch</strong> (<em>int</em>) – Epoch number that is finishing</p></li>
+<li><p><strong>epochs</strong> (<em>list</em>) – List of epochs being iterated through</p></li>
+<li><p><strong>t0</strong> (<em>float</em>) – Starting time of training.</p></li>
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p></li>
+<li><p><strong>checkpoint_int</strong> (<em>int | None</em>) – Epoch interval at which to save checkpoint models.</p></li>
+<li><p><strong>out_dir</strong> (<em>str</em>) – Directory to save checkpoint models. Should have {epoch} in
+the directory name. This directory will be created if it does not
+already exist.</p></li>
+<li><p><strong>early_stop_on</strong> (<em>str | None</em>) – If not None, this should be a column in the training history to
+evaluate for early stopping (e.g. validation_loss_gen,
+validation_loss_disc). If this value in this history decreases by
+an absolute fractional relative difference of less than 0.01 for
+more than 5 epochs in a row, the training will stop early.</p></li>
+<li><p><strong>early_stop_threshold</strong> (<em>float</em>) – The absolute relative fractional difference in validation loss
+between subsequent epochs below which an early termination is
+warranted. E.g. if val losses were 0.1 and 0.0998 the relative
+diff would be calculated as 0.0002 / 0.1 = 0.002 which would be
+less than the default thresold of 0.01 and would satisfy the
+condition for early termination.</p></li>
+<li><p><strong>early_stop_n_epoch</strong> (<em>int</em>) – The number of consecutive epochs that satisfy the threshold that
+warrants an early stop.</p></li>
+<li><p><strong>extras</strong> (<em>dict | None</em>) – Extra kwargs/parameters to save in the epoch history.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>stop</strong> (<em>bool</em>) – Flag to early stop training.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.run_gradient_descent">
+<span class="sig-name descname"><span class="pre">run_gradient_descent</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hi_res_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_weights</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optimizer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">multi_gpu</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">calc_loss_kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractSingleModel.run_gradient_descent"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.run_gradient_descent" title="Link to this definition">#</a></dt>
+<dd><p>Run gradient descent for one mini-batch of (low_res, hi_res_true)
+and update weights</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low_res</strong> (<em>np.ndarray</em>) – Real low-resolution data in a 4D or 5D array:
+(n_observations, spatial_1, spatial_2, features)
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>hi_res_true</strong> (<em>np.ndarray</em>) – Real high-resolution data in a 4D or 5D array:
+(n_observations, spatial_1, spatial_2, features)
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>training_weights</strong> (<em>list</em>) – A list of layer weights that are to-be-trained based on the
+current loss weight values.</p></li>
+<li><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer</em>) – Optimizer class to use to update weights. This can be different if
+you’re training just the generator or one of the discriminator
+models. Defaults to the generator optimizer.</p></li>
+<li><p><strong>multi_gpu</strong> (<em>bool</em>) – Flag to break up the batch for parallel gradient descent
+calculations on multiple gpus. If True and multiple GPUs are
+present, each batch from the batch_handler will be divided up
+between the GPUs and the resulting gradient from each GPU will
+constitute a single gradient descent step with the nominal learning
+rate that the model was initialized with.</p></li>
+<li><p><strong>calc_loss_kwargs</strong> (<em>dict</em>) – Kwargs to pass to the self.calc_loss() method</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.generate">
+<span class="sig-name descname"><span class="pre">generate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_in</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">un_norm_out</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">exogenous_data</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractSingleModel.generate"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.generate" title="Link to this definition">#</a></dt>
+<dd><p>Use the generator model to generate high res data from low res
+input. This is the public generate function.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low_res</strong> (<em>np.ndarray</em>) – Low-resolution input data, usually a 4D or 5D array of shape:
+(n_obs, spatial_1, spatial_2, n_features)
+(n_obs, spatial_1, spatial_2, n_temporal, n_features)</p></li>
+<li><p><strong>norm_in</strong> (<em>bool</em>) – Flag to normalize low_res input data if the self._means,
+self._stdevs attributes are available. The generator should always
+received normalized data with mean=0 stdev=1. This also normalizes
+hi_res_topo.</p></li>
+<li><p><strong>un_norm_out</strong> (<em>bool</em>) – Flag to un-normalize synthetically generated output data to physical
+units</p></li>
+<li><p><strong>exogenous_data</strong> (<em>dict | ExoData | None</em>) – Special dictionary (class:<cite>ExoData</cite>) of exogenous feature data with
+entries describing whether features should be combined at input, a
+mid network layer, or with output. This doesn’t have to include
+the ‘model’ key since this data is for a single step model.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>hi_res</strong> (<em>ndarray</em>) – Synthetically generated high-resolution data, usually a 4D or 5D
+array with shape:
+(n_obs, spatial_1, spatial_2, n_features)
+(n_obs, spatial_1, spatial_2, n_temporal, n_features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.dict_to_tensorboard">
+<span class="sig-name descname"><span class="pre">dict_to_tensorboard</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">entry</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.dict_to_tensorboard" title="Link to this definition">#</a></dt>
+<dd><p>Write data to tensorboard log file. This is usually a loss_details
+dictionary.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>entry</strong> (<em>dict</em>) – Dictionary of values to write to tensorboard log file</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.get_single_grad">
+<span class="sig-name descname"><span class="pre">get_single_grad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hi_res_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_weights</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">calc_loss_kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#AbstractSingleModel.get_single_grad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.get_single_grad" title="Link to this definition">#</a></dt>
+<dd><p>Run gradient descent for one mini-batch of (low_res, hi_res_true),
+do not update weights, just return gradient details.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low_res</strong> (<em>np.ndarray</em>) – Real low-resolution data in a 4D or 5D array:
+(n_observations, spatial_1, spatial_2, features)
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>hi_res_true</strong> (<em>np.ndarray</em>) – Real high-resolution data in a 4D or 5D array:
+(n_observations, spatial_1, spatial_2, features)
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>training_weights</strong> (<em>list</em>) – A list of layer weights that are to-be-trained based on the
+current loss weight values.</p></li>
+<li><p><strong>device_name</strong> (<em>None | str</em>) – Optional tensorflow device name for GPU placement. Note that if a
+GPU is available, variables will be placed on that GPU even if
+device_name=None.</p></li>
+<li><p><strong>calc_loss_kwargs</strong> (<em>dict</em>) – Kwargs to pass to the self.calc_loss() method</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>grad</strong> (<em>list</em>) – a list or nested structure of Tensors (or IndexedSlices, or None,
+or CompositeTensor) representing the gradients for the
+training_weights</p></li>
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.profile_to_tensorboard">
+<span class="sig-name descname"><span class="pre">profile_to_tensorboard</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.profile_to_tensorboard" title="Link to this definition">#</a></dt>
+<dd><p>Write profile data to tensorboard log file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>name</strong> (<em>str</em>) – Tag name to use for profile info</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.AbstractSingleModel.total_batches">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">total_batches</span></span><a class="headerlink" href="#sup3r.models.abstract.AbstractSingleModel.total_batches" title="Link to this definition">#</a></dt>
+<dd><p>Record of total number of batches for logging.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.load_network"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.load_network()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.means"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.means</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.stdevs"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.stdevs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.set_norm_stats"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.set_norm_stats()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.norm_input"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.norm_input()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.un_norm_output"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.un_norm_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.optimizer"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.optimizer</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.history"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.history</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.generator"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.generator</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.generator_weights"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.generator_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.init_optimizer"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.init_optimizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.load_saved_params"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.load_saved_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.get_high_res_exo_input"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.get_high_res_exo_input()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.get_loss_fun"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.get_loss_fun()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.get_optimizer_config"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.get_optimizer_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.get_optimizer_state"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.get_optimizer_state()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.update_loss_details"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.update_loss_details()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.log_loss_details"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.log_loss_details()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.early_stop"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.early_stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.save"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.save()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.finish_epoch"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.finish_epoch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.run_gradient_descent"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.run_gradient_descent()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.generate"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.generate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.dict_to_tensorboard"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.dict_to_tensorboard()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.get_single_grad"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.get_single_grad()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.profile_to_tensorboard"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.profile_to_tensorboard()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.AbstractSingleModel.total_batches"><code class="docutils literal notranslate"><span class="pre">AbstractSingleModel.total_batches</span></code></a></li>
+</ul>
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+    <h1>sup3r.models.abstract.TensorboardMixIn</h1>
+    <!-- Table of contents -->
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+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.TensorboardMixIn"><code class="docutils literal notranslate"><span class="pre">TensorboardMixIn</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.TensorboardMixIn.total_batches"><code class="docutils literal notranslate"><span class="pre">TensorboardMixIn.total_batches</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.TensorboardMixIn.dict_to_tensorboard"><code class="docutils literal notranslate"><span class="pre">TensorboardMixIn.dict_to_tensorboard()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.abstract.TensorboardMixIn.profile_to_tensorboard"><code class="docutils literal notranslate"><span class="pre">TensorboardMixIn.profile_to_tensorboard()</span></code></a></li>
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+</div>
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+                  
+  <section id="sup3r-models-abstract-tensorboardmixin">
+<h1>sup3r.models.abstract.TensorboardMixIn<a class="headerlink" href="#sup3r-models-abstract-tensorboardmixin" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.models.abstract.TensorboardMixIn">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">TensorboardMixIn</span></span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#TensorboardMixIn"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.TensorboardMixIn" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<p>MixIn class for tensorboard logging and profiling.</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.TensorboardMixIn.dict_to_tensorboard" title="sup3r.models.abstract.TensorboardMixIn.dict_to_tensorboard"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dict_to_tensorboard</span></code></a>(entry)</p></td>
+<td><p>Write data to tensorboard log file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.abstract.TensorboardMixIn.profile_to_tensorboard" title="sup3r.models.abstract.TensorboardMixIn.profile_to_tensorboard"><code class="xref py py-obj docutils literal notranslate"><span class="pre">profile_to_tensorboard</span></code></a>(name)</p></td>
+<td><p>Write profile data to tensorboard log file.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.abstract.TensorboardMixIn.total_batches" title="sup3r.models.abstract.TensorboardMixIn.total_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">total_batches</span></code></a></p></td>
+<td><p>Record of total number of batches for logging.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.abstract.TensorboardMixIn.total_batches">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">total_batches</span></span><a class="headerlink" href="#sup3r.models.abstract.TensorboardMixIn.total_batches" title="Link to this definition">#</a></dt>
+<dd><p>Record of total number of batches for logging.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.TensorboardMixIn.dict_to_tensorboard">
+<span class="sig-name descname"><span class="pre">dict_to_tensorboard</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">entry</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#TensorboardMixIn.dict_to_tensorboard"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.TensorboardMixIn.dict_to_tensorboard" title="Link to this definition">#</a></dt>
+<dd><p>Write data to tensorboard log file. This is usually a loss_details
+dictionary.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>entry</strong> (<em>dict</em>) – Dictionary of values to write to tensorboard log file</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.abstract.TensorboardMixIn.profile_to_tensorboard">
+<span class="sig-name descname"><span class="pre">profile_to_tensorboard</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/abstract.html#TensorboardMixIn.profile_to_tensorboard"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.abstract.TensorboardMixIn.profile_to_tensorboard" title="Link to this definition">#</a></dt>
+<dd><p>Write profile data to tensorboard log file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>name</strong> (<em>str</em>) – Tag name to use for profile info</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
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+  <section id="module-sup3r.models.abstract">
+<span id="sup3r-models-abstract"></span><h1>sup3r.models.abstract<a class="headerlink" href="#module-sup3r.models.abstract" title="Link to this heading">#</a></h1>
+<p>Abstract class defining the required interface for Sup3r model subclasses</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface" title="sup3r.models.abstract.AbstractInterface"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AbstractInterface</span></code></a>()</p></td>
+<td><p>Abstract class to define the required interface for Sup3r model subclasses</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel" title="sup3r.models.abstract.AbstractSingleModel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AbstractSingleModel</span></code></a>()</p></td>
+<td><p>Abstract class to define the required training interface for Sup3r model subclasses</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.models.abstract.TensorboardMixIn.html#sup3r.models.abstract.TensorboardMixIn" title="sup3r.models.abstract.TensorboardMixIn"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TensorboardMixIn</span></code></a>()</p></td>
+<td><p>MixIn class for tensorboard logging and profiling.</p></td>
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+    <h1>sup3r.models.base.Sup3rGan</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan"><code class="docutils literal notranslate"><span class="pre">Sup3rGan</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.save"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.save()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.load"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.discriminator"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.discriminator</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.discriminator_weights"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.discriminator_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.discriminate"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.discriminate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.optimizer_disc"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.optimizer_disc</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.update_optimizer"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.update_optimizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.meta"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.model_params"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.model_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.weights"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.init_weights"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.init_weights()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.get_weight_update_fraction"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.get_weight_update_fraction()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.calc_loss_gen_content"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.calc_loss_gen_content()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.calc_loss_gen_advers"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.calc_loss_gen_advers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.calc_loss_disc"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.calc_loss_disc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.calc_loss"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.calc_loss()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.calc_val_loss"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.calc_val_loss()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.train_epoch"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.train_epoch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.update_adversarial_weights"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.update_adversarial_weights()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.check_batch_handler_attrs"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.check_batch_handler_attrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.dict_to_tensorboard"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.dict_to_tensorboard()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.early_stop"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.early_stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.finish_epoch"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.finish_epoch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.generate"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.generate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.generator"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.generator</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.generator_weights"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.generator_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.get_high_res_exo_input"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.get_high_res_exo_input()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.get_loss_fun"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.get_loss_fun()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.get_optimizer_config"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.get_optimizer_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.get_optimizer_state"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.get_optimizer_state()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.get_s_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.get_s_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.get_single_grad"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.get_single_grad()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.get_t_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.get_t_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.history"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.history</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.hr_out_features"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.init_optimizer"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.init_optimizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.input_dims"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.input_dims</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.input_resolution"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.input_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.is_4d"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.is_4d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.is_5d"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.is_5d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.load_network"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.load_network()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.load_saved_params"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.load_saved_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.log_loss_details"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.log_loss_details()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.lr_features"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.lr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.means"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.means</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.norm_input"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.norm_input()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.optimizer"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.optimizer</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.output_resolution"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.output_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.profile_to_tensorboard"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.profile_to_tensorboard()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.run_gradient_descent"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.run_gradient_descent()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.s_enhance"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.s_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.s_enhancements"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.s_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.save_params"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.save_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.seed"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.seed()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.set_model_params"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.set_model_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.set_norm_stats"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.set_norm_stats()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.smoothed_features"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.smoothed_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.smoothing"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.smoothing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.stdevs"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.stdevs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.t_enhance"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.t_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.t_enhancements"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.t_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.total_batches"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.total_batches</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.un_norm_output"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.un_norm_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.update_loss_details"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.update_loss_details()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.version_record"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.version_record</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.train"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.train()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-models-base-sup3rgan">
+<h1>sup3r.models.base.Sup3rGan<a class="headerlink" href="#sup3r-models-base-sup3rgan" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Sup3rGan</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">gen_layers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">disc_layers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">loss</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'MeanSquaredError'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optimizer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0001</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optimizer_disc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate_disc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">history</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">means</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stdevs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default_device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/base.html#Sup3rGan"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.base.Sup3rGan" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel" title="sup3r.models.abstract.AbstractSingleModel"><code class="xref py py-class docutils literal notranslate"><span class="pre">AbstractSingleModel</span></code></a>, <a class="reference internal" href="sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface" title="sup3r.models.abstract.AbstractInterface"><code class="xref py py-class docutils literal notranslate"><span class="pre">AbstractInterface</span></code></a></p>
+<p>Basic sup3r GAN model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>gen_layers</strong> (<em>list | str</em>) – Hidden layers input argument to phygnn.base.CustomNetwork for the
+generative super resolving model. Can also be a str filepath to a
+.json config file containing the input layers argument or a .pkl
+for a saved pre-trained model.</p></li>
+<li><p><strong>disc_layers</strong> (<em>list | str</em>) – Hidden layers input argument to phygnn.base.CustomNetwork for the
+discriminative model (spatial or spatiotemporal discriminator). Can
+also be a str filepath to a .json config file containing the input
+layers argument or a .pkl for a saved pre-trained model.</p></li>
+<li><p><strong>loss</strong> (<em>str | dict</em>) – Loss function class name from sup3r.utilities.loss_metrics
+(prioritized) or tensorflow.keras.losses. Defaults to
+tf.keras.losses.MeanSquaredError. This can be provided as a dict
+with kwargs for loss functions with extra parameters.
+e.g. {‘SpatialExtremesLoss’: {‘weight’: 0.5}}</p></li>
+<li><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer | dict | None | str</em>) – Instantiated tf.keras.optimizers object or a dict optimizer config
+from tf.keras.optimizers.get_config(). None defaults to Adam.</p></li>
+<li><p><strong>learning_rate</strong> (<em>float, optional</em>) – Optimizer learning rate. Not used if optimizer input arg is a
+pre-initialized object or if optimizer input arg is a config dict.</p></li>
+<li><p><strong>optimizer_disc</strong> (<em>tf.keras.optimizers.Optimizer | dict | None</em>) – Same as optimizer input, but if specified this makes a different
+optimizer just for the discriminator network (spatial or
+spatiotemporal disc).</p></li>
+<li><p><strong>learning_rate_disc</strong> (<em>float, optional</em>) – Same as learning_rate input, but if specified this makes a
+different learning_rate just for the discriminator network (spatial
+or spatiotemporal disc).</p></li>
+<li><p><strong>history</strong> (<em>pd.DataFrame | str | None</em>) – Model training history with “epoch” index, str pointing to a saved
+history csv file with “epoch” as first column, or None for clean
+history</p></li>
+<li><p><strong>meta</strong> (<em>dict | None</em>) – Model meta data that describes how the model was created.</p></li>
+<li><p><strong>means</strong> (<em>dict | None</em>) – Set of mean values for data normalization keyed by feature name.
+Can be used to maintain a consistent normalization scheme between
+transfer learning domains.</p></li>
+<li><p><strong>stdevs</strong> (<em>dict | None</em>) – Set of stdev values for data normalization keyed by feature name.
+Can be used to maintain a consistent normalization scheme between
+transfer learning domains.</p></li>
+<li><p><strong>default_device</strong> (<em>str | None</em>) – Option for default device placement of model weights. If None and a
+single GPU exists, that GPU will be the default device. If None and
+multiple GPUs exist, the CPU will be the default device (this was
+tested as most efficient given the custom multi-gpu strategy
+developed in self.run_gradient_descent()). Examples: “/gpu:0” or
+“/cpu:0”</p></li>
+<li><p><strong>name</strong> (<em>str | None</em>) – Optional name for the GAN.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.calc_loss" title="sup3r.models.base.Sup3rGan.calc_loss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calc_loss</span></code></a>(hi_res_true, hi_res_gen[, ...])</p></td>
+<td><p>Calculate the GAN loss function using generated and true high resolution data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.calc_loss_disc" title="sup3r.models.base.Sup3rGan.calc_loss_disc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calc_loss_disc</span></code></a>(disc_out_true, disc_out_gen)</p></td>
+<td><p>Calculate the loss term for the discriminator model (either the spatial or temporal discriminator).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.calc_loss_gen_advers" title="sup3r.models.base.Sup3rGan.calc_loss_gen_advers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calc_loss_gen_advers</span></code></a>(disc_out_gen)</p></td>
+<td><p>Calculate the adversarial component of the loss term for the generator model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.calc_loss_gen_content" title="sup3r.models.base.Sup3rGan.calc_loss_gen_content"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calc_loss_gen_content</span></code></a>(hi_res_true, hi_res_gen)</p></td>
+<td><p>Calculate the content loss term for the generator model.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.calc_val_loss" title="sup3r.models.base.Sup3rGan.calc_val_loss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calc_val_loss</span></code></a>(batch_handler, ...)</p></td>
+<td><p>Calculate the validation loss at the current state of model training</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.check_batch_handler_attrs" title="sup3r.models.base.Sup3rGan.check_batch_handler_attrs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_batch_handler_attrs</span></code></a>(batch_handler)</p></td>
+<td><p>Not all batch handlers have the following attributes.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.dict_to_tensorboard" title="sup3r.models.base.Sup3rGan.dict_to_tensorboard"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dict_to_tensorboard</span></code></a>(entry)</p></td>
+<td><p>Write data to tensorboard log file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.discriminate" title="sup3r.models.base.Sup3rGan.discriminate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">discriminate</span></code></a>(hi_res[, norm_in])</p></td>
+<td><p>Run the discriminator model on a hi resolution input field.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.early_stop" title="sup3r.models.base.Sup3rGan.early_stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">early_stop</span></code></a>(history, column[, threshold, n_epoch])</p></td>
+<td><p>Determine whether to stop training early based on nearly no change to validation loss for a certain number of consecutive epochs.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.finish_epoch" title="sup3r.models.base.Sup3rGan.finish_epoch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">finish_epoch</span></code></a>(epoch, epochs, t0, ...[, extras])</p></td>
+<td><p>Perform finishing checks after an epoch is done training</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.generate" title="sup3r.models.base.Sup3rGan.generate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">generate</span></code></a>(low_res[, norm_in, un_norm_out, ...])</p></td>
+<td><p>Use the generator model to generate high res data from low res input.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.get_high_res_exo_input" title="sup3r.models.base.Sup3rGan.get_high_res_exo_input"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_high_res_exo_input</span></code></a>(high_res)</p></td>
+<td><p>Get exogenous feature data from high_res</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.get_loss_fun" title="sup3r.models.base.Sup3rGan.get_loss_fun"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_loss_fun</span></code></a>(loss)</p></td>
+<td><p>Get the initialized loss function class from the sup3r loss library or the tensorflow losses.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.get_optimizer_config" title="sup3r.models.base.Sup3rGan.get_optimizer_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_optimizer_config</span></code></a>(optimizer)</p></td>
+<td><p>Get a config that defines the current model optimizer</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.get_optimizer_state" title="sup3r.models.base.Sup3rGan.get_optimizer_state"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_optimizer_state</span></code></a>(optimizer)</p></td>
+<td><p>Get a set of state variables for the optimizer</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.get_s_enhance_from_layers" title="sup3r.models.base.Sup3rGan.get_s_enhance_from_layers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_s_enhance_from_layers</span></code></a>()</p></td>
+<td><p>Compute factor by which model will enhance spatial resolution from layer attributes.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.get_single_grad" title="sup3r.models.base.Sup3rGan.get_single_grad"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_single_grad</span></code></a>(low_res, hi_res_true, ...[, ...])</p></td>
+<td><p>Run gradient descent for one mini-batch of (low_res, hi_res_true), do not update weights, just return gradient details.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.get_t_enhance_from_layers" title="sup3r.models.base.Sup3rGan.get_t_enhance_from_layers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_t_enhance_from_layers</span></code></a>()</p></td>
+<td><p>Compute factor by which model will enhance temporal resolution from layer attributes.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.get_weight_update_fraction" title="sup3r.models.base.Sup3rGan.get_weight_update_fraction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_weight_update_fraction</span></code></a>(history, ...[, ...])</p></td>
+<td><p>Get the factor by which to multiply previous adversarial loss weight</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.init_optimizer" title="sup3r.models.base.Sup3rGan.init_optimizer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_optimizer</span></code></a>(optimizer, learning_rate)</p></td>
+<td><p>Initialize keras optimizer object.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.init_weights" title="sup3r.models.base.Sup3rGan.init_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_weights</span></code></a>(lr_shape, hr_shape[, device])</p></td>
+<td><p>Initialize the generator and discriminator weights with device placement.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.load" title="sup3r.models.base.Sup3rGan.load"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load</span></code></a>(model_dir[, verbose])</p></td>
+<td><p>Load the GAN with its sub-networks from a previously saved-to output directory.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.load_network" title="sup3r.models.base.Sup3rGan.load_network"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load_network</span></code></a>(model, name)</p></td>
+<td><p>Load a CustomNetwork object from hidden layers config, .json file config, or .pkl file saved pre-trained model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.load_saved_params" title="sup3r.models.base.Sup3rGan.load_saved_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load_saved_params</span></code></a>(out_dir[, verbose])</p></td>
+<td><p>Load saved model_params (you need this and the gen+disc models to load a full model).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.log_loss_details" title="sup3r.models.base.Sup3rGan.log_loss_details"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_loss_details</span></code></a>(loss_details[, level])</p></td>
+<td><p>Log the loss details to the module logger.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.norm_input" title="sup3r.models.base.Sup3rGan.norm_input"><code class="xref py py-obj docutils literal notranslate"><span class="pre">norm_input</span></code></a>(low_res)</p></td>
+<td><p>Normalize low resolution data being input to the generator.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.profile_to_tensorboard" title="sup3r.models.base.Sup3rGan.profile_to_tensorboard"><code class="xref py py-obj docutils literal notranslate"><span class="pre">profile_to_tensorboard</span></code></a>(name)</p></td>
+<td><p>Write profile data to tensorboard log file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.run_gradient_descent" title="sup3r.models.base.Sup3rGan.run_gradient_descent"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run_gradient_descent</span></code></a>(low_res, hi_res_true, ...)</p></td>
+<td><p>Run gradient descent for one mini-batch of (low_res, hi_res_true) and update weights</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.save" title="sup3r.models.base.Sup3rGan.save"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save</span></code></a>(out_dir)</p></td>
+<td><p>Save the GAN with its sub-networks to a directory.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.save_params" title="sup3r.models.base.Sup3rGan.save_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save_params</span></code></a>(out_dir)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.seed" title="sup3r.models.base.Sup3rGan.seed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">seed</span></code></a>([s])</p></td>
+<td><p>Set the random seed for reproducible results.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.set_model_params" title="sup3r.models.base.Sup3rGan.set_model_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_model_params</span></code></a>(**kwargs)</p></td>
+<td><p>Set parameters used for training the model</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.set_norm_stats" title="sup3r.models.base.Sup3rGan.set_norm_stats"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_norm_stats</span></code></a>(new_means, new_stdevs)</p></td>
+<td><p>Set the normalization statistics associated with a data batch handler to model attributes.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.train" title="sup3r.models.base.Sup3rGan.train"><code class="xref py py-obj docutils literal notranslate"><span class="pre">train</span></code></a>(batch_handler, input_resolution, n_epoch)</p></td>
+<td><p>Train the GAN model on real low res data and real high res data</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.train_epoch" title="sup3r.models.base.Sup3rGan.train_epoch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">train_epoch</span></code></a>(batch_handler, ...[, multi_gpu])</p></td>
+<td><p>Train the GAN for one epoch.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.un_norm_output" title="sup3r.models.base.Sup3rGan.un_norm_output"><code class="xref py py-obj docutils literal notranslate"><span class="pre">un_norm_output</span></code></a>(output)</p></td>
+<td><p>Un-normalize synthetically generated output data to physical units</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.update_adversarial_weights" title="sup3r.models.base.Sup3rGan.update_adversarial_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_adversarial_weights</span></code></a>(history, ...)</p></td>
+<td><p>Update spatial / temporal adversarial loss weights based on training fraction history.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.update_loss_details" title="sup3r.models.base.Sup3rGan.update_loss_details"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_loss_details</span></code></a>(loss_details, new_data, ...)</p></td>
+<td><p>Update a dictionary of loss_details with loss information from a new batch.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.update_optimizer" title="sup3r.models.base.Sup3rGan.update_optimizer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_optimizer</span></code></a>([option])</p></td>
+<td><p>Update optimizer by changing current configuration</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.discriminator" title="sup3r.models.base.Sup3rGan.discriminator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">discriminator</span></code></a></p></td>
+<td><p>Get the discriminator model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.discriminator_weights" title="sup3r.models.base.Sup3rGan.discriminator_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">discriminator_weights</span></code></a></p></td>
+<td><p>Get a list of layer weights and bias terms for the discriminator model.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.generator" title="sup3r.models.base.Sup3rGan.generator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">generator</span></code></a></p></td>
+<td><p>Get the generative model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.generator_weights" title="sup3r.models.base.Sup3rGan.generator_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">generator_weights</span></code></a></p></td>
+<td><p>Get a list of layer weights and bias terms for the generator model.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.history" title="sup3r.models.base.Sup3rGan.history"><code class="xref py py-obj docutils literal notranslate"><span class="pre">history</span></code></a></p></td>
+<td><p>Model training history DataFrame (None if not yet trained)</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.hr_exo_features" title="sup3r.models.base.Sup3rGan.hr_exo_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_exo_features</span></code></a></p></td>
+<td><p>Get list of high-resolution exogenous filter names the model uses.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.hr_out_features" title="sup3r.models.base.Sup3rGan.hr_out_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_out_features</span></code></a></p></td>
+<td><p>Get the list of high-resolution output feature names that the generative model outputs.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.input_dims" title="sup3r.models.base.Sup3rGan.input_dims"><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_dims</span></code></a></p></td>
+<td><p>Get dimension of model generator input.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.input_resolution" title="sup3r.models.base.Sup3rGan.input_resolution"><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_resolution</span></code></a></p></td>
+<td><p>Resolution of input data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.is_4d" title="sup3r.models.base.Sup3rGan.is_4d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_4d</span></code></a></p></td>
+<td><p>Check if model expects spatial only input</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.is_5d" title="sup3r.models.base.Sup3rGan.is_5d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_5d</span></code></a></p></td>
+<td><p>Check if model expects spatiotemporal input</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.lr_features" title="sup3r.models.base.Sup3rGan.lr_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_features</span></code></a></p></td>
+<td><p>Get a list of low-resolution features input to the generative model.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.means" title="sup3r.models.base.Sup3rGan.means"><code class="xref py py-obj docutils literal notranslate"><span class="pre">means</span></code></a></p></td>
+<td><p>Get the data normalization mean values.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.meta" title="sup3r.models.base.Sup3rGan.meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meta</span></code></a></p></td>
+<td><p>Get meta data dictionary that defines how the model was created</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.model_params" title="sup3r.models.base.Sup3rGan.model_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">model_params</span></code></a></p></td>
+<td><p>Model parameters, used to save model to disc</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.optimizer" title="sup3r.models.base.Sup3rGan.optimizer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">optimizer</span></code></a></p></td>
+<td><p>Get the tensorflow optimizer to perform gradient descent calculations for the generative network.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.optimizer_disc" title="sup3r.models.base.Sup3rGan.optimizer_disc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">optimizer_disc</span></code></a></p></td>
+<td><p>Get the tensorflow optimizer to perform gradient descent calculations for the discriminator network.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.output_resolution" title="sup3r.models.base.Sup3rGan.output_resolution"><code class="xref py py-obj docutils literal notranslate"><span class="pre">output_resolution</span></code></a></p></td>
+<td><p>Resolution of output data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.s_enhance" title="sup3r.models.base.Sup3rGan.s_enhance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhance</span></code></a></p></td>
+<td><p>Factor by which model will enhance spatial resolution.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.s_enhancements" title="sup3r.models.base.Sup3rGan.s_enhancements"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhancements</span></code></a></p></td>
+<td><p>List of spatial enhancement factors.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.smoothed_features" title="sup3r.models.base.Sup3rGan.smoothed_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">smoothed_features</span></code></a></p></td>
+<td><p>Get the list of smoothed input feature names that the generative model was trained on.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.smoothing" title="sup3r.models.base.Sup3rGan.smoothing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">smoothing</span></code></a></p></td>
+<td><p>Value of smoothing parameter used in gaussian filtering of coarsened high res data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.stdevs" title="sup3r.models.base.Sup3rGan.stdevs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stdevs</span></code></a></p></td>
+<td><p>Get the data normalization standard deviation values.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.t_enhance" title="sup3r.models.base.Sup3rGan.t_enhance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhance</span></code></a></p></td>
+<td><p>Factor by which model will enhance temporal resolution.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.t_enhancements" title="sup3r.models.base.Sup3rGan.t_enhancements"><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhancements</span></code></a></p></td>
+<td><p>List of temporal enhancement factors.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.total_batches" title="sup3r.models.base.Sup3rGan.total_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">total_batches</span></code></a></p></td>
+<td><p>Record of total number of batches for logging.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.version_record" title="sup3r.models.base.Sup3rGan.version_record"><code class="xref py py-obj docutils literal notranslate"><span class="pre">version_record</span></code></a></p></td>
+<td><p>A record of important versions that this model was built with.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.base.Sup3rGan.weights" title="sup3r.models.base.Sup3rGan.weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">weights</span></code></a></p></td>
+<td><p>Get a list of all the layer weights and bias terms for the generator and discriminator networks</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.save">
+<span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/base.html#Sup3rGan.save"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.base.Sup3rGan.save" title="Link to this definition">#</a></dt>
+<dd><p>Save the GAN with its sub-networks to a directory.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>out_dir</strong> (<em>str</em>) – Directory to save GAN model files. This directory will be created
+if it does not already exist.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.load">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_dir</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/base.html#Sup3rGan.load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.base.Sup3rGan.load" title="Link to this definition">#</a></dt>
+<dd><p>Load the GAN with its sub-networks from a previously saved-to output
+directory.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>model_dir</strong> (<em>str</em>) – Directory to load GAN model files from.</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to log information about the loaded model.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>BaseModel</em>) – Returns a pretrained gan model that was previously saved to out_dir</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.discriminator">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">discriminator</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.discriminator" title="Link to this definition">#</a></dt>
+<dd><p>Get the discriminator model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>phygnn.base.CustomNetwork</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.discriminator_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">discriminator_weights</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.discriminator_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of layer weights and bias terms for the discriminator
+model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>list</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.discriminate">
+<span class="sig-name descname"><span class="pre">discriminate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hi_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_in</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/base.html#Sup3rGan.discriminate"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.base.Sup3rGan.discriminate" title="Link to this definition">#</a></dt>
+<dd><p>Run the discriminator model on a hi resolution input field.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>hi_res</strong> (<em>np.ndarray</em>) – Real or fake high res data in a 4D or 5D tensor:
+(n_obs, spatial_1, spatial_2, n_features)
+(n_obs, spatial_1, spatial_2, n_temporal, n_features)</p></li>
+<li><p><strong>norm_in</strong> (<em>bool</em>) – Flag to normalize low_res input data if the self._means,
+self._stdevs attributes are available. The disc should always
+received normalized data with mean=0 stdev=1.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>np.ndarray</em>) – Discriminator output logits</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.optimizer_disc">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">optimizer_disc</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.optimizer_disc" title="Link to this definition">#</a></dt>
+<dd><p>Get the tensorflow optimizer to perform gradient descent
+calculations for the discriminator network.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>tf.keras.optimizers.Optimizer</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.update_optimizer">
+<span class="sig-name descname"><span class="pre">update_optimizer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">option</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'generator'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/base.html#Sup3rGan.update_optimizer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.base.Sup3rGan.update_optimizer" title="Link to this definition">#</a></dt>
+<dd><p>Update optimizer by changing current configuration</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>option</strong> (<em>str</em>) – Which optimizer to update. Can be “generator”, “discriminator”, or
+“all”</p></li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – kwargs to use for optimizer configuration update</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.meta">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">meta</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.meta" title="Link to this definition">#</a></dt>
+<dd><p>Get meta data dictionary that defines how the model was created</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.model_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">model_params</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.model_params" title="Link to this definition">#</a></dt>
+<dd><p>Model parameters, used to save model to disc</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>dict</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">weights</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.weights" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of all the layer weights and bias terms for the
+generator and discriminator networks</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.init_weights">
+<span class="sig-name descname"><span class="pre">init_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lr_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hr_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/base.html#Sup3rGan.init_weights"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.base.Sup3rGan.init_weights" title="Link to this definition">#</a></dt>
+<dd><p>Initialize the generator and discriminator weights with device
+placement.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>lr_shape</strong> (<em>tuple</em>) – Shape of one batch of low res input data for sup3r resolution. Note
+that the batch size (axis=0) must be included, but the actual batch
+size doesnt really matter.</p></li>
+<li><p><strong>hr_shape</strong> (<em>tuple</em>) – Shape of one batch of high res input data for sup3r resolution.
+Note that the batch size (axis=0) must be included, but the actual
+batch size doesnt really matter.</p></li>
+<li><p><strong>device</strong> (<em>str | None</em>) – Option to place model weights on a device. If None,
+self.default_device will be used.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.get_weight_update_fraction">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_weight_update_fraction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">history</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">comparison_key</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">update_bounds</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(0.5,</span> <span class="pre">0.95)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">update_frac</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/base.html#Sup3rGan.get_weight_update_fraction"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.base.Sup3rGan.get_weight_update_fraction" title="Link to this definition">#</a></dt>
+<dd><p>Get the factor by which to multiply previous adversarial loss
+weight</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>history</strong> (<em>dict</em>) – Dictionary with information on how often discriminators
+were trained during previous epoch.</p></li>
+<li><p><strong>comparison_key</strong> (<em>str</em>) – history key to use for update check</p></li>
+<li><p><strong>update_bounds</strong> (<em>tuple</em>) – Tuple specifying allowed range for history[comparison_key]. If
+history[comparison_key] &lt; update_bounds[0] then the weight will be
+increased by (1 + update_frac). If history[comparison_key] &gt;
+update_bounds[1] then the weight will be decreased by 1 / (1 +
+update_frac).</p></li>
+<li><p><strong>update_frac</strong> (<em>float</em>) – Fraction by which to increase/decrease adversarial loss weight</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>float</em> – Factor by which to multiply old weight to get updated weight</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.calc_loss_gen_content">
+<span class="sig-name descname"><span class="pre">calc_loss_gen_content</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hi_res_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hi_res_gen</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/base.html#Sup3rGan.calc_loss_gen_content"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.base.Sup3rGan.calc_loss_gen_content" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the content loss term for the generator model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>hi_res_true</strong> (<em>tf.Tensor</em>) – Ground truth high resolution spatiotemporal data.</p></li>
+<li><p><strong>hi_res_gen</strong> (<em>tf.Tensor</em>) – Superresolved high resolution spatiotemporal data generated by the
+generative model.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_gen_s</strong> (<em>tf.Tensor</em>) – 0D tensor generator model loss for the content loss comparing the
+hi res ground truth to the hi res synthetically generated output.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.calc_loss_gen_advers">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">calc_loss_gen_advers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">disc_out_gen</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/base.html#Sup3rGan.calc_loss_gen_advers"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.base.Sup3rGan.calc_loss_gen_advers" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the adversarial component of the loss term for the
+generator model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>disc_out_gen</strong> (<em>tf.Tensor</em>) – Raw discriminator outputs from the discriminator model
+predicting only on hi_res_gen (not on hi_res_true).</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_gen_advers</strong> (<em>tf.Tensor</em>) – 0D tensor generator model loss for the adversarial component of the
+generator loss term.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.calc_loss_disc">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">calc_loss_disc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">disc_out_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">disc_out_gen</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/base.html#Sup3rGan.calc_loss_disc"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.base.Sup3rGan.calc_loss_disc" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the loss term for the discriminator model (either the
+spatial or temporal discriminator).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>disc_out_true</strong> (<em>tf.Tensor</em>) – Raw discriminator outputs from the discriminator model predicting
+only on ground truth data hi_res_true (not on hi_res_gen).</p></li>
+<li><p><strong>disc_out_gen</strong> (<em>tf.Tensor</em>) – Raw discriminator outputs from the discriminator model predicting
+only on synthetic data hi_res_gen (not on hi_res_true).</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_disc</strong> (<em>tf.Tensor</em>) – 0D tensor discriminator model loss for either the spatial or
+temporal component of the super resolution generated output.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.calc_loss">
+<span class="sig-name descname"><span class="pre">calc_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hi_res_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hi_res_gen</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weight_gen_advers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.001</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_gen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_disc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/base.html#Sup3rGan.calc_loss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.base.Sup3rGan.calc_loss" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the GAN loss function using generated and true high
+resolution data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>hi_res_true</strong> (<em>tf.Tensor</em>) – Ground truth high resolution spatiotemporal data.</p></li>
+<li><p><strong>hi_res_gen</strong> (<em>tf.Tensor</em>) – Superresolved high resolution spatiotemporal data generated by the
+generative model.</p></li>
+<li><p><strong>weight_gen_advers</strong> (<em>float</em>) – Weight factor for the adversarial loss component of the generator
+vs. the discriminator.</p></li>
+<li><p><strong>train_gen</strong> (<em>bool</em>) – True if generator is being trained, then loss=loss_gen</p></li>
+<li><p><strong>train_disc</strong> (<em>bool</em>) – True if disc is being trained, then loss=loss_disc</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>loss</strong> (<em>tf.Tensor</em>) – 0D tensor representing the loss value for the network being trained
+(either generator or one of the discriminators)</p></li>
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.calc_val_loss">
+<span class="sig-name descname"><span class="pre">calc_val_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weight_gen_advers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">loss_details</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/base.html#Sup3rGan.calc_val_loss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.base.Sup3rGan.calc_val_loss" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the validation loss at the current state of model training</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>batch_handler</strong> (<em>sup3r.preprocessing.BatchHandler</em>) – BatchHandler object to iterate through</p></li>
+<li><p><strong>weight_gen_advers</strong> (<em>float</em>) – Weight factor for the adversarial loss component of the generator
+vs. the discriminator.</p></li>
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_details</strong> (<em>dict</em>) – Same as input but now includes val_* loss info</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.train_epoch">
+<span class="sig-name descname"><span class="pre">train_epoch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weight_gen_advers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_gen</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_disc</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">disc_loss_bounds</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">multi_gpu</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/base.html#Sup3rGan.train_epoch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.base.Sup3rGan.train_epoch" title="Link to this definition">#</a></dt>
+<dd><p>Train the GAN for one epoch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>batch_handler</strong> (<em>sup3r.preprocessing.BatchHandler</em>) – BatchHandler object to iterate through</p></li>
+<li><p><strong>weight_gen_advers</strong> (<em>float</em>) – Weight factor for the adversarial loss component of the generator
+vs. the discriminator.</p></li>
+<li><p><strong>train_gen</strong> (<em>bool</em>) – Flag whether to train the generator for this set of epochs</p></li>
+<li><p><strong>train_disc</strong> (<em>bool</em>) – Flag whether to train the discriminator for this set of epochs</p></li>
+<li><p><strong>disc_loss_bounds</strong> (<em>tuple</em>) – Lower and upper bounds for the discriminator loss outside of which
+the discriminators will not train unless train_disc=True or
+and train_gen=False.</p></li>
+<li><p><strong>multi_gpu</strong> (<em>bool</em>) – Flag to break up the batch for parallel gradient descent
+calculations on multiple gpus. If True and multiple GPUs are
+present, each batch from the batch_handler will be divided up
+between the GPUs and the resulting gradient from each GPU will
+constitute a single gradient descent step with the nominal learning
+rate that the model was initialized with. If true and multiple gpus
+are found, default_device device should be set to /cpu:0</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.update_adversarial_weights">
+<span class="sig-name descname"><span class="pre">update_adversarial_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">history</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adaptive_update_fraction</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adaptive_update_bounds</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weight_gen_advers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_disc</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/base.html#Sup3rGan.update_adversarial_weights"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.base.Sup3rGan.update_adversarial_weights" title="Link to this definition">#</a></dt>
+<dd><p>Update spatial / temporal adversarial loss weights based on training
+fraction history.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>history</strong> (<em>dict</em>) – Dictionary with information on how often discriminators
+were trained during current and previous epochs.</p></li>
+<li><p><strong>adaptive_update_fraction</strong> (<em>float</em>) – Amount by which to increase or decrease adversarial loss weights
+for adaptive updates</p></li>
+<li><p><strong>adaptive_update_bounds</strong> (<em>tuple</em>) – Tuple specifying allowed range for history[comparison_key]. If
+history[comparison_key] &lt; update_bounds[0] then the weight will be
+increased by (1 + update_frac). If history[comparison_key] &gt;
+update_bounds[1] then the weight will be decreased by 1 / (1 +
+update_frac).</p></li>
+<li><p><strong>weight_gen_advers</strong> (<em>float</em>) – Weight factor for the adversarial loss component of the generator
+vs. the discriminator.</p></li>
+<li><p><strong>train_disc</strong> (<em>bool</em>) – Whether the discriminator was set to be trained during the
+previous epoch</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>weight_gen_advers</strong> (<em>float</em>) – Updated weight factor for the adversarial loss component of the
+generator vs. the discriminator.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.check_batch_handler_attrs">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">check_batch_handler_attrs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_handler</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/base.html#Sup3rGan.check_batch_handler_attrs"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.base.Sup3rGan.check_batch_handler_attrs" title="Link to this definition">#</a></dt>
+<dd><p>Not all batch handlers have the following attributes. So we perform
+some sanitation before sending to <cite>set_model_params</cite></p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.dict_to_tensorboard">
+<span class="sig-name descname"><span class="pre">dict_to_tensorboard</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">entry</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.dict_to_tensorboard" title="Link to this definition">#</a></dt>
+<dd><p>Write data to tensorboard log file. This is usually a loss_details
+dictionary.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>entry</strong> (<em>dict</em>) – Dictionary of values to write to tensorboard log file</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.early_stop">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">early_stop</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">history</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.005</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.early_stop" title="Link to this definition">#</a></dt>
+<dd><p>Determine whether to stop training early based on nearly no change
+to validation loss for a certain number of consecutive epochs.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>history</strong> (<em>pd.DataFrame | None</em>) – Model training history</p></li>
+<li><p><strong>column</strong> (<em>str</em>) – Column from the model training history to evaluate for early
+termination.</p></li>
+<li><p><strong>threshold</strong> (<em>float</em>) – The absolute relative fractional difference in validation loss
+between subsequent epochs below which an early termination is
+warranted. E.g. if val losses were 0.1 and 0.0998 the relative
+diff would be calculated as 0.0002 / 0.1 = 0.002 which would be
+less than the default thresold of 0.01 and would satisfy the
+condition for early termination.</p></li>
+<li><p><strong>n_epoch</strong> (<em>int</em>) – The number of consecutive epochs that satisfy the threshold that
+warrants an early stop.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>stop</strong> (<em>bool</em>) – Flag to stop training (True) or keep going (False).</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.finish_epoch">
+<span class="sig-name descname"><span class="pre">finish_epoch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epochs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">loss_details</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint_int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_on</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_threshold</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_n_epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extras</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.finish_epoch" title="Link to this definition">#</a></dt>
+<dd><p>Perform finishing checks after an epoch is done training</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>epoch</strong> (<em>int</em>) – Epoch number that is finishing</p></li>
+<li><p><strong>epochs</strong> (<em>list</em>) – List of epochs being iterated through</p></li>
+<li><p><strong>t0</strong> (<em>float</em>) – Starting time of training.</p></li>
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p></li>
+<li><p><strong>checkpoint_int</strong> (<em>int | None</em>) – Epoch interval at which to save checkpoint models.</p></li>
+<li><p><strong>out_dir</strong> (<em>str</em>) – Directory to save checkpoint models. Should have {epoch} in
+the directory name. This directory will be created if it does not
+already exist.</p></li>
+<li><p><strong>early_stop_on</strong> (<em>str | None</em>) – If not None, this should be a column in the training history to
+evaluate for early stopping (e.g. validation_loss_gen,
+validation_loss_disc). If this value in this history decreases by
+an absolute fractional relative difference of less than 0.01 for
+more than 5 epochs in a row, the training will stop early.</p></li>
+<li><p><strong>early_stop_threshold</strong> (<em>float</em>) – The absolute relative fractional difference in validation loss
+between subsequent epochs below which an early termination is
+warranted. E.g. if val losses were 0.1 and 0.0998 the relative
+diff would be calculated as 0.0002 / 0.1 = 0.002 which would be
+less than the default thresold of 0.01 and would satisfy the
+condition for early termination.</p></li>
+<li><p><strong>early_stop_n_epoch</strong> (<em>int</em>) – The number of consecutive epochs that satisfy the threshold that
+warrants an early stop.</p></li>
+<li><p><strong>extras</strong> (<em>dict | None</em>) – Extra kwargs/parameters to save in the epoch history.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>stop</strong> (<em>bool</em>) – Flag to early stop training.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.generate">
+<span class="sig-name descname"><span class="pre">generate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_in</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">un_norm_out</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">exogenous_data</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.generate" title="Link to this definition">#</a></dt>
+<dd><p>Use the generator model to generate high res data from low res
+input. This is the public generate function.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low_res</strong> (<em>np.ndarray</em>) – Low-resolution input data, usually a 4D or 5D array of shape:
+(n_obs, spatial_1, spatial_2, n_features)
+(n_obs, spatial_1, spatial_2, n_temporal, n_features)</p></li>
+<li><p><strong>norm_in</strong> (<em>bool</em>) – Flag to normalize low_res input data if the self._means,
+self._stdevs attributes are available. The generator should always
+received normalized data with mean=0 stdev=1. This also normalizes
+hi_res_topo.</p></li>
+<li><p><strong>un_norm_out</strong> (<em>bool</em>) – Flag to un-normalize synthetically generated output data to physical
+units</p></li>
+<li><p><strong>exogenous_data</strong> (<em>dict | ExoData | None</em>) – Special dictionary (class:<cite>ExoData</cite>) of exogenous feature data with
+entries describing whether features should be combined at input, a
+mid network layer, or with output. This doesn’t have to include
+the ‘model’ key since this data is for a single step model.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>hi_res</strong> (<em>ndarray</em>) – Synthetically generated high-resolution data, usually a 4D or 5D
+array with shape:
+(n_obs, spatial_1, spatial_2, n_features)
+(n_obs, spatial_1, spatial_2, n_temporal, n_features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.generator">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">generator</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.generator" title="Link to this definition">#</a></dt>
+<dd><p>Get the generative model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>phygnn.base.CustomNetwork</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.generator_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">generator_weights</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.generator_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of layer weights and bias terms for the generator model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>list</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.get_high_res_exo_input">
+<span class="sig-name descname"><span class="pre">get_high_res_exo_input</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.get_high_res_exo_input" title="Link to this definition">#</a></dt>
+<dd><p>Get exogenous feature data from high_res</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>high_res</strong> (<em>tf.Tensor</em>) – Ground truth high resolution spatiotemporal data.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>exo_data</strong> (<em>dict</em>) – Dictionary of exogenous feature data used as input to tf_generate.
+e.g. <code class="docutils literal notranslate"><span class="pre">{'topography':</span> <span class="pre">tf.Tensor(...)}</span></code></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.get_loss_fun">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_loss_fun</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">loss</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.get_loss_fun" title="Link to this definition">#</a></dt>
+<dd><p>Get the initialized loss function class from the sup3r loss library
+or the tensorflow losses.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>loss</strong> (<em>str | dict</em>) – Loss function class name from sup3r.utilities.loss_metrics
+(prioritized) or tensorflow.keras.losses. Defaults to
+tf.keras.losses.MeanSquaredError. This can be provided as a dict
+with kwargs for loss functions with extra parameters.
+e.g. {‘SpatialExtremesLoss’: {‘weight’: 0.5}}</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>tf.keras.losses.Loss</em>) – Initialized loss function class that is callable, e.g. if
+“MeanSquaredError” is requested, this will return
+an instance of tf.keras.losses.MeanSquaredError()</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.get_optimizer_config">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_optimizer_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">optimizer</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.get_optimizer_config" title="Link to this definition">#</a></dt>
+<dd><p>Get a config that defines the current model optimizer</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer</em>) – TF-Keras optimizer object (e.g., Adam)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>config</strong> (<em>dict</em>) – Optimizer config</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.get_optimizer_state">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_optimizer_state</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">optimizer</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.get_optimizer_state" title="Link to this definition">#</a></dt>
+<dd><p>Get a set of state variables for the optimizer</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer</em>) – TF-Keras optimizer object (e.g., Adam)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>state</strong> (<em>dict</em>) – Optimizer state variables</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.get_s_enhance_from_layers">
+<span class="sig-name descname"><span class="pre">get_s_enhance_from_layers</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.get_s_enhance_from_layers" title="Link to this definition">#</a></dt>
+<dd><p>Compute factor by which model will enhance spatial resolution from
+layer attributes. Used in model training during high res coarsening</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.get_single_grad">
+<span class="sig-name descname"><span class="pre">get_single_grad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hi_res_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_weights</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">calc_loss_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.get_single_grad" title="Link to this definition">#</a></dt>
+<dd><p>Run gradient descent for one mini-batch of (low_res, hi_res_true),
+do not update weights, just return gradient details.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low_res</strong> (<em>np.ndarray</em>) – Real low-resolution data in a 4D or 5D array:
+(n_observations, spatial_1, spatial_2, features)
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>hi_res_true</strong> (<em>np.ndarray</em>) – Real high-resolution data in a 4D or 5D array:
+(n_observations, spatial_1, spatial_2, features)
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>training_weights</strong> (<em>list</em>) – A list of layer weights that are to-be-trained based on the
+current loss weight values.</p></li>
+<li><p><strong>device_name</strong> (<em>None | str</em>) – Optional tensorflow device name for GPU placement. Note that if a
+GPU is available, variables will be placed on that GPU even if
+device_name=None.</p></li>
+<li><p><strong>calc_loss_kwargs</strong> (<em>dict</em>) – Kwargs to pass to the self.calc_loss() method</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>grad</strong> (<em>list</em>) – a list or nested structure of Tensors (or IndexedSlices, or None,
+or CompositeTensor) representing the gradients for the
+training_weights</p></li>
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.get_t_enhance_from_layers">
+<span class="sig-name descname"><span class="pre">get_t_enhance_from_layers</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.get_t_enhance_from_layers" title="Link to this definition">#</a></dt>
+<dd><p>Compute factor by which model will enhance temporal resolution from
+layer attributes. Used in model training during high res coarsening</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.history">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">history</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.history" title="Link to this definition">#</a></dt>
+<dd><p>Model training history DataFrame (None if not yet trained)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>pandas.DataFrame | None</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.hr_exo_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_exo_features</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.hr_exo_features" title="Link to this definition">#</a></dt>
+<dd><p>Get list of high-resolution exogenous filter names the model uses.
+If the model has N concat or add layers this list will be the last N
+features in the training features list. The ordering is assumed to be
+the same as the order of concat or add layers. If training features is
+[…, topo, sza], and the model has 2 concat or add layers, exo
+features will be [topo, sza]. Topo will then be used in the first
+concat layer and sza will be used in the second</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.hr_out_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_out_features</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.hr_out_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the list of high-resolution output feature names that the
+generative model outputs.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.init_optimizer">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">init_optimizer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">optimizer</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.init_optimizer" title="Link to this definition">#</a></dt>
+<dd><p>Initialize keras optimizer object.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer | dict | None | str</em>) – Instantiated tf.keras.optimizers object or a dict optimizer config
+from tf.keras.optimizers.get_config(). None defaults to Adam.</p></li>
+<li><p><strong>learning_rate</strong> (<em>float, optional</em>) – Optimizer learning rate. Not used if optimizer input arg is a
+pre-initialized object or if optimizer input arg is a config dict.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer</em>) – Initialized optimizer object.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.input_dims">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">input_dims</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.input_dims" title="Link to this definition">#</a></dt>
+<dd><p>Get dimension of model generator input. This is usually 4D for
+spatial models and 5D for spatiotemporal models. This gives the input
+to the first step if the model is multi-step. Returns 5 for linear
+models.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>int</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.input_resolution">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">input_resolution</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.input_resolution" title="Link to this definition">#</a></dt>
+<dd><p>Resolution of input data. Given as a dictionary
+<code class="docutils literal notranslate"><span class="pre">{'spatial':</span> <span class="pre">'...km',</span> <span class="pre">'temporal':</span> <span class="pre">'...min'}</span></code>. The numbers are
+required to be integers in the units specified. The units are not
+strict as long as the resolution of the exogenous data, when extracting
+exogenous data, is specified in the same units.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.is_4d">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_4d</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.is_4d" title="Link to this definition">#</a></dt>
+<dd><p>Check if model expects spatial only input</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.is_5d">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_5d</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.is_5d" title="Link to this definition">#</a></dt>
+<dd><p>Check if model expects spatiotemporal input</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.load_network">
+<span class="sig-name descname"><span class="pre">load_network</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.load_network" title="Link to this definition">#</a></dt>
+<dd><p>Load a CustomNetwork object from hidden layers config, .json file
+config, or .pkl file saved pre-trained model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>model</strong> (<em>str | dict</em>) – Model hidden layers config, a .json with “hidden_layers” key, or a
+.pkl for a saved pre-trained model.</p></li>
+<li><p><strong>name</strong> (<em>str</em>) – Name of the model to be loaded</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>model</strong> (<em>phygnn.CustomNetwork</em>) – CustomNetwork object initialized from the model input.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.load_saved_params">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">load_saved_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.load_saved_params" title="Link to this definition">#</a></dt>
+<dd><p>Load saved model_params (you need this and the gen+disc models
+to load a full model).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>out_dir</strong> (<em>str</em>) – Directory to load model files from.</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to log information about the loaded model.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>params</strong> (<em>dict</em>) – Model parameters loaded from disk json file. This should be the
+same as self.model_params with and additional ‘history’ entry.
+Should be all the kwargs you need to init a model.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.log_loss_details">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">log_loss_details</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">loss_details</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">level</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'INFO'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.log_loss_details" title="Link to this definition">#</a></dt>
+<dd><p>Log the loss details to the module logger.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components where each value is a
+running average at the current state in the epoch.</p></li>
+<li><p><strong>level</strong> (<em>str</em>) – Log level (e.g. INFO, DEBUG)</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.lr_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_features</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.lr_features" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of low-resolution features input to the generative model.
+This includes low-resolution features that might be supplied
+exogenously at inference time but that were in the low-res batches
+during training</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.means">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">means</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.means" title="Link to this definition">#</a></dt>
+<dd><p>Get the data normalization mean values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>np.ndarray</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.norm_input">
+<span class="sig-name descname"><span class="pre">norm_input</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.norm_input" title="Link to this definition">#</a></dt>
+<dd><p>Normalize low resolution data being input to the generator.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>low_res</strong> (<em>np.ndarray</em>) – Un-normalized low-resolution input data in physical units, usually
+a 4D or 5D array of shape:
+(n_obs, spatial_1, spatial_2, n_features)
+(n_obs, spatial_1, spatial_2, n_temporal, n_features)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>low_res</strong> (<em>np.ndarray</em>) – Normalized low-resolution input data, usually a 4D or 5D array of
+shape:
+(n_obs, spatial_1, spatial_2, n_features)
+(n_obs, spatial_1, spatial_2, n_temporal, n_features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.optimizer">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">optimizer</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.optimizer" title="Link to this definition">#</a></dt>
+<dd><p>Get the tensorflow optimizer to perform gradient descent
+calculations for the generative network. This is functionally identical
+to optimizer_disc is no special optimizer model or learning rate was
+specified for the disc.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>tf.keras.optimizers.Optimizer</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.output_resolution">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_resolution</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.output_resolution" title="Link to this definition">#</a></dt>
+<dd><p>Resolution of output data. Given as a dictionary
+{‘spatial’: ‘…km’, ‘temporal’: ‘…min’}. This is computed from the
+input resolution and the enhancement factors.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.profile_to_tensorboard">
+<span class="sig-name descname"><span class="pre">profile_to_tensorboard</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.profile_to_tensorboard" title="Link to this definition">#</a></dt>
+<dd><p>Write profile data to tensorboard log file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>name</strong> (<em>str</em>) – Tag name to use for profile info</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.run_gradient_descent">
+<span class="sig-name descname"><span class="pre">run_gradient_descent</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hi_res_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_weights</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optimizer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">multi_gpu</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">calc_loss_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.run_gradient_descent" title="Link to this definition">#</a></dt>
+<dd><p>Run gradient descent for one mini-batch of (low_res, hi_res_true)
+and update weights</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low_res</strong> (<em>np.ndarray</em>) – Real low-resolution data in a 4D or 5D array:
+(n_observations, spatial_1, spatial_2, features)
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>hi_res_true</strong> (<em>np.ndarray</em>) – Real high-resolution data in a 4D or 5D array:
+(n_observations, spatial_1, spatial_2, features)
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>training_weights</strong> (<em>list</em>) – A list of layer weights that are to-be-trained based on the
+current loss weight values.</p></li>
+<li><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer</em>) – Optimizer class to use to update weights. This can be different if
+you’re training just the generator or one of the discriminator
+models. Defaults to the generator optimizer.</p></li>
+<li><p><strong>multi_gpu</strong> (<em>bool</em>) – Flag to break up the batch for parallel gradient descent
+calculations on multiple gpus. If True and multiple GPUs are
+present, each batch from the batch_handler will be divided up
+between the GPUs and the resulting gradient from each GPU will
+constitute a single gradient descent step with the nominal learning
+rate that the model was initialized with.</p></li>
+<li><p><strong>calc_loss_kwargs</strong> (<em>dict</em>) – Kwargs to pass to the self.calc_loss() method</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.s_enhance">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_enhance</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.s_enhance" title="Link to this definition">#</a></dt>
+<dd><p>Factor by which model will enhance spatial resolution. Used in
+model training during high res coarsening and also in forward pass
+routine to determine shape of needed exogenous data</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.s_enhancements">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_enhancements</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.s_enhancements" title="Link to this definition">#</a></dt>
+<dd><p>List of spatial enhancement factors. In the case of a single step
+model this is just <code class="docutils literal notranslate"><span class="pre">[self.s_enhance]</span></code>. This is used to determine
+shapes of needed exogenous data in forward pass routine</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.save_params">
+<span class="sig-name descname"><span class="pre">save_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.save_params" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>out_dir</strong> (<em>str</em>) – Directory to save linear model params. This directory will be
+created if it does not already exist.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.seed">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">seed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.seed" title="Link to this definition">#</a></dt>
+<dd><p>Set the random seed for reproducible results.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>s</strong> (<em>int</em>) – Random seed</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.set_model_params">
+<span class="sig-name descname"><span class="pre">set_model_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.set_model_params" title="Link to this definition">#</a></dt>
+<dd><p>Set parameters used for training the model</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>kwargs</strong> (<em>dict</em>) – Keyword arguments including ‘input_resolution’,
+‘lr_features’, ‘hr_exo_features’, ‘hr_out_features’,
+‘smoothed_features’, ‘s_enhance’, ‘t_enhance’, ‘smoothing’</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.set_norm_stats">
+<span class="sig-name descname"><span class="pre">set_norm_stats</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">new_means</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_stdevs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.set_norm_stats" title="Link to this definition">#</a></dt>
+<dd><p>Set the normalization statistics associated with a data batch
+handler to model attributes.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>new_means</strong> (<em>dict | None</em>) – Set of mean values for data normalization keyed by feature name.
+Can be used to maintain a consistent normalization scheme between
+transfer learning domains.</p></li>
+<li><p><strong>new_stdevs</strong> (<em>dict | None</em>) – Set of stdev values for data normalization keyed by feature name.
+Can be used to maintain a consistent normalization scheme between
+transfer learning domains.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.smoothed_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">smoothed_features</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.smoothed_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the list of smoothed input feature names that the generative
+model was trained on.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.smoothing">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">smoothing</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.smoothing" title="Link to this definition">#</a></dt>
+<dd><p>Value of smoothing parameter used in gaussian filtering of coarsened
+high res data.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.stdevs">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">stdevs</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.stdevs" title="Link to this definition">#</a></dt>
+<dd><p>Get the data normalization standard deviation values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>np.ndarray</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.t_enhance">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">t_enhance</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.t_enhance" title="Link to this definition">#</a></dt>
+<dd><p>Factor by which model will enhance temporal resolution. Used in
+model training during high res coarsening and also in forward pass
+routine to determine shape of needed exogenous data</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.t_enhancements">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">t_enhancements</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.t_enhancements" title="Link to this definition">#</a></dt>
+<dd><p>List of temporal enhancement factors. In the case of a single step
+model this is just <code class="docutils literal notranslate"><span class="pre">[self.t_enhance]</span></code>. This is used to determine
+shapes of needed exogenous data in forward pass routine</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.total_batches">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">total_batches</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.total_batches" title="Link to this definition">#</a></dt>
+<dd><p>Record of total number of batches for logging.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.un_norm_output">
+<span class="sig-name descname"><span class="pre">un_norm_output</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">output</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.un_norm_output" title="Link to this definition">#</a></dt>
+<dd><p>Un-normalize synthetically generated output data to physical units</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>output</strong> (<em>tf.Tensor | np.ndarray</em>) – Synthetically generated high-resolution data</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>output</strong> (<em>np.ndarray</em>) – Synthetically generated high-resolution data</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.update_loss_details">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">update_loss_details</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">loss_details</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_len</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prefix</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.update_loss_details" title="Link to this definition">#</a></dt>
+<dd><p>Update a dictionary of loss_details with loss information from a new
+batch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components where each value is a
+running average at the current state in the epoch.</p></li>
+<li><p><strong>new_data</strong> (<em>dict</em>) – Namespace of the breakdown of loss components for a single new
+batch.</p></li>
+<li><p><strong>batch_len</strong> (<em>int</em>) – Length of the incoming batch.</p></li>
+<li><p><strong>prefix</strong> (<em>None | str</em>) – Option to prefix the names of the loss data when saving to the
+loss_details dictionary.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_details</strong> (<em>dict</em>) – Same as input loss_details but with running averages updated.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.version_record">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">version_record</span></span><a class="headerlink" href="#sup3r.models.base.Sup3rGan.version_record" title="Link to this definition">#</a></dt>
+<dd><p>A record of important versions that this model was built with.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>dict</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.base.Sup3rGan.train">
+<span class="sig-name descname"><span class="pre">train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_resolution</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weight_gen_advers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.001</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_gen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_disc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">disc_loss_bounds</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(0.45,</span> <span class="pre">0.6)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint_int</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'./gan_{epoch}'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_on</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.005</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_n_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adaptive_update_bounds</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(0.9,</span> <span class="pre">0.99)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adaptive_update_fraction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">multi_gpu</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensorboard_log</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensorboard_profile</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/base.html#Sup3rGan.train"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.base.Sup3rGan.train" title="Link to this definition">#</a></dt>
+<dd><p>Train the GAN model on real low res data and real high res data</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>batch_handler</strong> (<em>sup3r.preprocessing.BatchHandler</em>) – BatchHandler object to iterate through</p></li>
+<li><p><strong>input_resolution</strong> (<em>dict</em>) – Dictionary specifying spatiotemporal input resolution. e.g.
+{‘temporal’: ‘60min’, ‘spatial’: ‘30km’}</p></li>
+<li><p><strong>n_epoch</strong> (<em>int</em>) – Number of epochs to train on</p></li>
+<li><p><strong>weight_gen_advers</strong> (<em>float</em>) – Weight factor for the adversarial loss component of the generator
+vs. the discriminator.</p></li>
+<li><p><strong>train_gen</strong> (<em>bool</em>) – Flag whether to train the generator for this set of epochs</p></li>
+<li><p><strong>train_disc</strong> (<em>bool</em>) – Flag whether to train the discriminator for this set of epochs</p></li>
+<li><p><strong>disc_loss_bounds</strong> (<em>tuple</em>) – Lower and upper bounds for the discriminator loss outside of which
+the discriminator will not train unless train_disc=True and
+train_gen=False.</p></li>
+<li><p><strong>checkpoint_int</strong> (<em>int | None</em>) – Epoch interval at which to save checkpoint models.</p></li>
+<li><p><strong>out_dir</strong> (<em>str</em>) – Directory to save checkpoint GAN models. Should have {epoch} in
+the directory name. This directory will be created if it does not
+already exist.</p></li>
+<li><p><strong>early_stop_on</strong> (<em>str | None</em>) – If not None, this should be a column in the training history to
+evaluate for early stopping (e.g. validation_loss_gen,
+validation_loss_disc). If this value in this history decreases by
+an absolute fractional relative difference of less than 0.01 for
+more than 5 epochs in a row, the training will stop early.</p></li>
+<li><p><strong>early_stop_threshold</strong> (<em>float</em>) – The absolute relative fractional difference in validation loss
+between subsequent epochs below which an early termination is
+warranted. E.g. if val losses were 0.1 and 0.0998 the relative
+diff would be calculated as 0.0002 / 0.1 = 0.002 which would be
+less than the default thresold of 0.01 and would satisfy the
+condition for early termination.</p></li>
+<li><p><strong>early_stop_n_epoch</strong> (<em>int</em>) – The number of consecutive epochs that satisfy the threshold that
+warrants an early stop.</p></li>
+<li><p><strong>adaptive_update_bounds</strong> (<em>tuple</em>) – Tuple specifying allowed range for loss_details[comparison_key]. If
+history[comparison_key] &lt; threshold_range[0] then the weight will
+be increased by (1 + update_frac). If history[comparison_key] &gt;
+threshold_range[1] then the weight will be decreased by 1 / (1 +
+update_frac).</p></li>
+<li><p><strong>adaptive_update_fraction</strong> (<em>float</em>) – Amount by which to increase or decrease adversarial weights for
+adaptive updates</p></li>
+<li><p><strong>multi_gpu</strong> (<em>bool</em>) – Flag to break up the batch for parallel gradient descent
+calculations on multiple gpus. If True and multiple GPUs are
+present, each batch from the batch_handler will be divided up
+between the GPUs and the resulting gradient from each GPU will
+constitute a single gradient descent step with the nominal learning
+rate that the model was initialized with. If true and multiple gpus
+are found, default_device device should be set to /cpu:0</p></li>
+<li><p><strong>tensorboard_log</strong> (<em>bool</em>) – Whether to write log file for use with tensorboard. Log data can
+be viewed with <code class="docutils literal notranslate"><span class="pre">tensorboard</span> <span class="pre">--logdir</span> <span class="pre">&lt;logdir&gt;</span></code> where <code class="docutils literal notranslate"><span class="pre">&lt;logdir&gt;</span></code>
+is the parent directory of <code class="docutils literal notranslate"><span class="pre">out_dir</span></code>, and pointing the browser to
+the printed address.</p></li>
+<li><p><strong>tensorboard_profile</strong> (<em>bool</em>) – Whether to export profiling information to tensorboard. This can
+then be viewed in the tensorboard dashboard under the profile tab</p></li>
+<li><p><strong>TODO</strong> (<em>(1) args here are getting excessive. Might be time for some</em>)</p></li>
+<li><p><strong>refactoring.</strong></p></li>
+<li><p><strong>(2) cal_val_loss should be done in a separate thread from train_epoch</strong></p></li>
+<li><p><strong>so they can be done concurrently. This would be especially important</strong></p></li>
+<li><p><strong>for batch handlers which require val data, like dc handlers.</strong></p></li>
+<li><p><strong>(3) Would like an automatic way to exit the batch handler thread</strong></p></li>
+<li><p><strong>instead of manually calling .stop() here.</strong></p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan"><code class="docutils literal notranslate"><span class="pre">Sup3rGan</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.save"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.save()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.load"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.discriminator"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.discriminator</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.discriminator_weights"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.discriminator_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.discriminate"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.discriminate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.optimizer_disc"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.optimizer_disc</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.update_optimizer"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.update_optimizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.meta"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.model_params"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.model_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.weights"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.init_weights"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.init_weights()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.get_weight_update_fraction"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.get_weight_update_fraction()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.calc_loss_gen_content"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.calc_loss_gen_content()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.calc_loss_gen_advers"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.calc_loss_gen_advers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.calc_loss_disc"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.calc_loss_disc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.calc_loss"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.calc_loss()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.calc_val_loss"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.calc_val_loss()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.train_epoch"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.train_epoch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.update_adversarial_weights"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.update_adversarial_weights()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.check_batch_handler_attrs"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.check_batch_handler_attrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.dict_to_tensorboard"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.dict_to_tensorboard()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.early_stop"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.early_stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.finish_epoch"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.finish_epoch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.generate"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.generate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.generator"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.generator</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.generator_weights"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.generator_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.get_high_res_exo_input"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.get_high_res_exo_input()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.get_loss_fun"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.get_loss_fun()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.get_optimizer_config"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.get_optimizer_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.get_optimizer_state"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.get_optimizer_state()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.get_s_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.get_s_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.get_single_grad"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.get_single_grad()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.get_t_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.get_t_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.history"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.history</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.hr_out_features"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.init_optimizer"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.init_optimizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.input_dims"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.input_dims</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.input_resolution"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.input_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.is_4d"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.is_4d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.is_5d"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.is_5d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.load_network"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.load_network()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.load_saved_params"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.load_saved_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.log_loss_details"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.log_loss_details()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.lr_features"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.lr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.means"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.means</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.norm_input"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.norm_input()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.optimizer"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.optimizer</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.output_resolution"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.output_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.profile_to_tensorboard"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.profile_to_tensorboard()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.run_gradient_descent"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.run_gradient_descent()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.s_enhance"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.s_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.s_enhancements"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.s_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.save_params"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.save_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.seed"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.seed()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.set_model_params"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.set_model_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.set_norm_stats"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.set_norm_stats()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.smoothed_features"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.smoothed_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.smoothing"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.smoothing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.stdevs"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.stdevs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.t_enhance"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.t_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.t_enhancements"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.t_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.total_batches"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.total_batches</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.un_norm_output"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.un_norm_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.update_loss_details"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.update_loss_details()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.version_record"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.version_record</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.base.Sup3rGan.train"><code class="docutils literal notranslate"><span class="pre">Sup3rGan.train()</span></code></a></li>
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+    <h1>sup3r.models.conditional.Sup3rCondMom</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.save"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.save()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.load"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.update_optimizer"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.update_optimizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.meta"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.model_params"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.model_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.weights"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.calc_loss_cond_mom"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.calc_loss_cond_mom()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.calc_loss"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.calc_loss()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.calc_val_loss"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.calc_val_loss()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.dict_to_tensorboard"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.dict_to_tensorboard()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.early_stop"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.early_stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.finish_epoch"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.finish_epoch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.generate"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.generate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.generator"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.generator</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.generator_weights"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.generator_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.get_high_res_exo_input"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.get_high_res_exo_input()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.get_loss_fun"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.get_loss_fun()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.get_optimizer_config"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.get_optimizer_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.get_optimizer_state"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.get_optimizer_state()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.get_s_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.get_s_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.get_single_grad"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.get_single_grad()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.get_t_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.get_t_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.history"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.history</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.hr_out_features"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.init_optimizer"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.init_optimizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.input_dims"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.input_dims</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.input_resolution"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.input_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.is_4d"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.is_4d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.is_5d"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.is_5d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.load_network"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.load_network()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.load_saved_params"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.load_saved_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.log_loss_details"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.log_loss_details()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.lr_features"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.lr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.means"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.means</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.norm_input"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.norm_input()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.optimizer"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.optimizer</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.output_resolution"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.output_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.profile_to_tensorboard"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.profile_to_tensorboard()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.run_gradient_descent"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.run_gradient_descent()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.s_enhance"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.s_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.s_enhancements"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.s_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.save_params"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.save_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.seed"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.seed()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.set_model_params"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.set_model_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.set_norm_stats"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.set_norm_stats()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.smoothed_features"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.smoothed_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.smoothing"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.smoothing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.stdevs"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.stdevs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.t_enhance"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.t_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.t_enhancements"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.t_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.total_batches"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.total_batches</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.un_norm_output"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.un_norm_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.update_loss_details"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.update_loss_details()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.version_record"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.version_record</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.train_epoch"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.train_epoch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.train"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.train()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-models-conditional-sup3rcondmom">
+<h1>sup3r.models.conditional.Sup3rCondMom<a class="headerlink" href="#sup3r-models-conditional-sup3rcondmom" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Sup3rCondMom</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">gen_layers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optimizer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0001</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_par</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">history</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">means</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stdevs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default_device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/conditional.html#Sup3rCondMom"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel" title="sup3r.models.abstract.AbstractSingleModel"><code class="xref py py-class docutils literal notranslate"><span class="pre">AbstractSingleModel</span></code></a>, <a class="reference internal" href="sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface" title="sup3r.models.abstract.AbstractInterface"><code class="xref py py-class docutils literal notranslate"><span class="pre">AbstractInterface</span></code></a></p>
+<p>Basic Sup3r conditional moments model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>gen_layers</strong> (<em>list | str</em>) – Hidden layers input argument to phygnn.base.CustomNetwork for the
+generative super resolving model. Can also be a str filepath to a
+.json config file containing the input layers argument or a .pkl
+for a saved pre-trained model.</p></li>
+<li><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer | dict | None | str</em>) – Instantiated tf.keras.optimizers object or a dict optimizer config
+from tf.keras.optimizers.get_config(). None defaults to Adam.</p></li>
+<li><p><strong>learning_rate</strong> (<em>float, optional</em>) – Optimizer learning rate. Not used if optimizer input arg is a
+pre-initialized object or if optimizer input arg is a config dict.</p></li>
+<li><p><strong>num_par</strong> (<em>int | None</em>) – Number of trainable parameters in the model</p></li>
+<li><p><strong>history</strong> (<em>pd.DataFrame | str | None</em>) – Model training history with “epoch” index, str pointing to a saved
+history csv file with “epoch” as first column, or None for clean
+history</p></li>
+<li><p><strong>meta</strong> (<em>dict | None</em>) – Model meta data that describes how the model was created.</p></li>
+<li><p><strong>means</strong> (<em>dict | None</em>) – Set of mean values for data normalization keyed by feature name.
+Can be used to maintain a consistent normalization scheme between
+transfer learning domains.</p></li>
+<li><p><strong>stdevs</strong> (<em>dict | None</em>) – Set of stdev values for data normalization keyed by feature name.
+Can be used to maintain a consistent normalization scheme between
+transfer learning domains.</p></li>
+<li><p><strong>default_device</strong> (<em>str | None</em>) – Option for default device placement of model weights. If None and a
+single GPU exists, that GPU will be the default device. If None and
+multiple GPUs exist, the CPU will be the default device (this was
+tested as most efficient given the custom multi-gpu strategy
+developed in self.run_gradient_descent())</p></li>
+<li><p><strong>name</strong> (<em>str | None</em>) – Optional name for the model.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.calc_loss" title="sup3r.models.conditional.Sup3rCondMom.calc_loss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calc_loss</span></code></a>(output_true, output_gen, mask)</p></td>
+<td><p>Calculate the total moment predictor loss</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.calc_loss_cond_mom" title="sup3r.models.conditional.Sup3rCondMom.calc_loss_cond_mom"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calc_loss_cond_mom</span></code></a>(output_true, output_gen, mask)</p></td>
+<td><p>Calculate the loss of the moment predictor</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.calc_val_loss" title="sup3r.models.conditional.Sup3rCondMom.calc_val_loss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calc_val_loss</span></code></a>(batch_handler, loss_details)</p></td>
+<td><p>Calculate the validation loss at the current state of model training</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.dict_to_tensorboard" title="sup3r.models.conditional.Sup3rCondMom.dict_to_tensorboard"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dict_to_tensorboard</span></code></a>(entry)</p></td>
+<td><p>Write data to tensorboard log file.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.early_stop" title="sup3r.models.conditional.Sup3rCondMom.early_stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">early_stop</span></code></a>(history, column[, threshold, n_epoch])</p></td>
+<td><p>Determine whether to stop training early based on nearly no change to validation loss for a certain number of consecutive epochs.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.finish_epoch" title="sup3r.models.conditional.Sup3rCondMom.finish_epoch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">finish_epoch</span></code></a>(epoch, epochs, t0, ...[, extras])</p></td>
+<td><p>Perform finishing checks after an epoch is done training</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.generate" title="sup3r.models.conditional.Sup3rCondMom.generate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">generate</span></code></a>(low_res[, norm_in, un_norm_out, ...])</p></td>
+<td><p>Use the generator model to generate high res data from low res input.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.get_high_res_exo_input" title="sup3r.models.conditional.Sup3rCondMom.get_high_res_exo_input"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_high_res_exo_input</span></code></a>(high_res)</p></td>
+<td><p>Get exogenous feature data from high_res</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.get_loss_fun" title="sup3r.models.conditional.Sup3rCondMom.get_loss_fun"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_loss_fun</span></code></a>(loss)</p></td>
+<td><p>Get the initialized loss function class from the sup3r loss library or the tensorflow losses.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.get_optimizer_config" title="sup3r.models.conditional.Sup3rCondMom.get_optimizer_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_optimizer_config</span></code></a>(optimizer)</p></td>
+<td><p>Get a config that defines the current model optimizer</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.get_optimizer_state" title="sup3r.models.conditional.Sup3rCondMom.get_optimizer_state"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_optimizer_state</span></code></a>(optimizer)</p></td>
+<td><p>Get a set of state variables for the optimizer</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.get_s_enhance_from_layers" title="sup3r.models.conditional.Sup3rCondMom.get_s_enhance_from_layers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_s_enhance_from_layers</span></code></a>()</p></td>
+<td><p>Compute factor by which model will enhance spatial resolution from layer attributes.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.get_single_grad" title="sup3r.models.conditional.Sup3rCondMom.get_single_grad"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_single_grad</span></code></a>(low_res, hi_res_true, ...[, ...])</p></td>
+<td><p>Run gradient descent for one mini-batch of (low_res, hi_res_true), do not update weights, just return gradient details.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.get_t_enhance_from_layers" title="sup3r.models.conditional.Sup3rCondMom.get_t_enhance_from_layers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_t_enhance_from_layers</span></code></a>()</p></td>
+<td><p>Compute factor by which model will enhance temporal resolution from layer attributes.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.init_optimizer" title="sup3r.models.conditional.Sup3rCondMom.init_optimizer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_optimizer</span></code></a>(optimizer, learning_rate)</p></td>
+<td><p>Initialize keras optimizer object.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.load" title="sup3r.models.conditional.Sup3rCondMom.load"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load</span></code></a>(model_dir[, verbose])</p></td>
+<td><p>Load the model with its sub-networks from a previously saved-to output directory.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.load_network" title="sup3r.models.conditional.Sup3rCondMom.load_network"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load_network</span></code></a>(model, name)</p></td>
+<td><p>Load a CustomNetwork object from hidden layers config, .json file config, or .pkl file saved pre-trained model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.load_saved_params" title="sup3r.models.conditional.Sup3rCondMom.load_saved_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load_saved_params</span></code></a>(out_dir[, verbose])</p></td>
+<td><p>Load saved model_params (you need this and the gen+disc models to load a full model).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.log_loss_details" title="sup3r.models.conditional.Sup3rCondMom.log_loss_details"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_loss_details</span></code></a>(loss_details[, level])</p></td>
+<td><p>Log the loss details to the module logger.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.norm_input" title="sup3r.models.conditional.Sup3rCondMom.norm_input"><code class="xref py py-obj docutils literal notranslate"><span class="pre">norm_input</span></code></a>(low_res)</p></td>
+<td><p>Normalize low resolution data being input to the generator.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.profile_to_tensorboard" title="sup3r.models.conditional.Sup3rCondMom.profile_to_tensorboard"><code class="xref py py-obj docutils literal notranslate"><span class="pre">profile_to_tensorboard</span></code></a>(name)</p></td>
+<td><p>Write profile data to tensorboard log file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.run_gradient_descent" title="sup3r.models.conditional.Sup3rCondMom.run_gradient_descent"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run_gradient_descent</span></code></a>(low_res, hi_res_true, ...)</p></td>
+<td><p>Run gradient descent for one mini-batch of (low_res, hi_res_true) and update weights</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.save" title="sup3r.models.conditional.Sup3rCondMom.save"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save</span></code></a>(out_dir)</p></td>
+<td><p>Save the model with its sub-networks to a directory.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.save_params" title="sup3r.models.conditional.Sup3rCondMom.save_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save_params</span></code></a>(out_dir)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.seed" title="sup3r.models.conditional.Sup3rCondMom.seed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">seed</span></code></a>([s])</p></td>
+<td><p>Set the random seed for reproducible results.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.set_model_params" title="sup3r.models.conditional.Sup3rCondMom.set_model_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_model_params</span></code></a>(**kwargs)</p></td>
+<td><p>Set parameters used for training the model</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.set_norm_stats" title="sup3r.models.conditional.Sup3rCondMom.set_norm_stats"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_norm_stats</span></code></a>(new_means, new_stdevs)</p></td>
+<td><p>Set the normalization statistics associated with a data batch handler to model attributes.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.train" title="sup3r.models.conditional.Sup3rCondMom.train"><code class="xref py py-obj docutils literal notranslate"><span class="pre">train</span></code></a>(batch_handler, input_resolution, n_epoch)</p></td>
+<td><p>Train the model on real low res data and real high res data</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.train_epoch" title="sup3r.models.conditional.Sup3rCondMom.train_epoch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">train_epoch</span></code></a>(batch_handler[, multi_gpu])</p></td>
+<td><p>Train the model for one epoch.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.un_norm_output" title="sup3r.models.conditional.Sup3rCondMom.un_norm_output"><code class="xref py py-obj docutils literal notranslate"><span class="pre">un_norm_output</span></code></a>(output)</p></td>
+<td><p>Un-normalize synthetically generated output data to physical units</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.update_loss_details" title="sup3r.models.conditional.Sup3rCondMom.update_loss_details"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_loss_details</span></code></a>(loss_details, new_data, ...)</p></td>
+<td><p>Update a dictionary of loss_details with loss information from a new batch.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.update_optimizer" title="sup3r.models.conditional.Sup3rCondMom.update_optimizer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_optimizer</span></code></a>(**kwargs)</p></td>
+<td><p>Update optimizer by changing current configuration</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.generator" title="sup3r.models.conditional.Sup3rCondMom.generator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">generator</span></code></a></p></td>
+<td><p>Get the generative model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.generator_weights" title="sup3r.models.conditional.Sup3rCondMom.generator_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">generator_weights</span></code></a></p></td>
+<td><p>Get a list of layer weights and bias terms for the generator model.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.history" title="sup3r.models.conditional.Sup3rCondMom.history"><code class="xref py py-obj docutils literal notranslate"><span class="pre">history</span></code></a></p></td>
+<td><p>Model training history DataFrame (None if not yet trained)</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.hr_exo_features" title="sup3r.models.conditional.Sup3rCondMom.hr_exo_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_exo_features</span></code></a></p></td>
+<td><p>Get list of high-resolution exogenous filter names the model uses.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.hr_out_features" title="sup3r.models.conditional.Sup3rCondMom.hr_out_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_out_features</span></code></a></p></td>
+<td><p>Get the list of high-resolution output feature names that the generative model outputs.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.input_dims" title="sup3r.models.conditional.Sup3rCondMom.input_dims"><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_dims</span></code></a></p></td>
+<td><p>Get dimension of model generator input.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.input_resolution" title="sup3r.models.conditional.Sup3rCondMom.input_resolution"><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_resolution</span></code></a></p></td>
+<td><p>Resolution of input data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.is_4d" title="sup3r.models.conditional.Sup3rCondMom.is_4d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_4d</span></code></a></p></td>
+<td><p>Check if model expects spatial only input</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.is_5d" title="sup3r.models.conditional.Sup3rCondMom.is_5d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_5d</span></code></a></p></td>
+<td><p>Check if model expects spatiotemporal input</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.lr_features" title="sup3r.models.conditional.Sup3rCondMom.lr_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_features</span></code></a></p></td>
+<td><p>Get a list of low-resolution features input to the generative model.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.means" title="sup3r.models.conditional.Sup3rCondMom.means"><code class="xref py py-obj docutils literal notranslate"><span class="pre">means</span></code></a></p></td>
+<td><p>Get the data normalization mean values.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.meta" title="sup3r.models.conditional.Sup3rCondMom.meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meta</span></code></a></p></td>
+<td><p>Get meta data dictionary that defines how the model was created</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.model_params" title="sup3r.models.conditional.Sup3rCondMom.model_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">model_params</span></code></a></p></td>
+<td><p>Model parameters, used to save model to disc</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.optimizer" title="sup3r.models.conditional.Sup3rCondMom.optimizer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">optimizer</span></code></a></p></td>
+<td><p>Get the tensorflow optimizer to perform gradient descent calculations for the generative network.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.output_resolution" title="sup3r.models.conditional.Sup3rCondMom.output_resolution"><code class="xref py py-obj docutils literal notranslate"><span class="pre">output_resolution</span></code></a></p></td>
+<td><p>Resolution of output data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.s_enhance" title="sup3r.models.conditional.Sup3rCondMom.s_enhance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhance</span></code></a></p></td>
+<td><p>Factor by which model will enhance spatial resolution.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.s_enhancements" title="sup3r.models.conditional.Sup3rCondMom.s_enhancements"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhancements</span></code></a></p></td>
+<td><p>List of spatial enhancement factors.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.smoothed_features" title="sup3r.models.conditional.Sup3rCondMom.smoothed_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">smoothed_features</span></code></a></p></td>
+<td><p>Get the list of smoothed input feature names that the generative model was trained on.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.smoothing" title="sup3r.models.conditional.Sup3rCondMom.smoothing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">smoothing</span></code></a></p></td>
+<td><p>Value of smoothing parameter used in gaussian filtering of coarsened high res data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.stdevs" title="sup3r.models.conditional.Sup3rCondMom.stdevs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stdevs</span></code></a></p></td>
+<td><p>Get the data normalization standard deviation values.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.t_enhance" title="sup3r.models.conditional.Sup3rCondMom.t_enhance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhance</span></code></a></p></td>
+<td><p>Factor by which model will enhance temporal resolution.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.t_enhancements" title="sup3r.models.conditional.Sup3rCondMom.t_enhancements"><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhancements</span></code></a></p></td>
+<td><p>List of temporal enhancement factors.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.total_batches" title="sup3r.models.conditional.Sup3rCondMom.total_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">total_batches</span></code></a></p></td>
+<td><p>Record of total number of batches for logging.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.version_record" title="sup3r.models.conditional.Sup3rCondMom.version_record"><code class="xref py py-obj docutils literal notranslate"><span class="pre">version_record</span></code></a></p></td>
+<td><p>A record of important versions that this model was built with.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.conditional.Sup3rCondMom.weights" title="sup3r.models.conditional.Sup3rCondMom.weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">weights</span></code></a></p></td>
+<td><p>Get a list of all the layer weights and bias terms for the generator network</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.save">
+<span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/conditional.html#Sup3rCondMom.save"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.save" title="Link to this definition">#</a></dt>
+<dd><p>Save the model with its sub-networks to a directory.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>out_dir</strong> (<em>str</em>) – Directory to save model files. This directory will be created
+if it does not already exist.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.load">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_dir</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/conditional.html#Sup3rCondMom.load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.load" title="Link to this definition">#</a></dt>
+<dd><p>Load the model with its sub-networks from a previously saved-to
+output directory.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>model_dir</strong> (<em>str</em>) – Directory to load model files from.</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to log information about the loaded model.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>BaseModel</em>) – Returns a pretrained gan model that was previously saved to out_dir</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.update_optimizer">
+<span class="sig-name descname"><span class="pre">update_optimizer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/conditional.html#Sup3rCondMom.update_optimizer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.update_optimizer" title="Link to this definition">#</a></dt>
+<dd><p>Update optimizer by changing current configuration</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>kwargs</strong> (<em>dict</em>) – kwargs to use for optimizer configuration update</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.meta">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">meta</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.meta" title="Link to this definition">#</a></dt>
+<dd><p>Get meta data dictionary that defines how the model was created</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.model_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">model_params</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.model_params" title="Link to this definition">#</a></dt>
+<dd><p>Model parameters, used to save model to disc</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>dict</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">weights</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.weights" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of all the layer weights and bias terms for the
+generator network</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.calc_loss_cond_mom">
+<span class="sig-name descname"><span class="pre">calc_loss_cond_mom</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">output_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_gen</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/conditional.html#Sup3rCondMom.calc_loss_cond_mom"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.calc_loss_cond_mom" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the loss of the moment predictor</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>output_true</strong> (<em>tf.Tensor</em>) – True realization output</p></li>
+<li><p><strong>output_gen</strong> (<em>tf.Tensor</em>) – Predicted realization output</p></li>
+<li><p><strong>mask</strong> (<em>tf.Tensor</em>) – Mask to apply</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss</strong> (<em>tf.Tensor</em>) – 0D tensor generator model loss for the MSE loss of the
+moment predictor</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.calc_loss">
+<span class="sig-name descname"><span class="pre">calc_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">output_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_gen</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/conditional.html#Sup3rCondMom.calc_loss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.calc_loss" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the total moment predictor loss</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>output_true</strong> (<em>tf.Tensor</em>) – True realization output</p></li>
+<li><p><strong>output_gen</strong> (<em>tf.Tensor</em>) – Predicted realization output</p></li>
+<li><p><strong>mask</strong> (<em>tf.Tensor</em>) – Mask to apply</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>loss</strong> (<em>tf.Tensor</em>) – 0D tensor representing the loss value for the
+moment predictor</p></li>
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.calc_val_loss">
+<span class="sig-name descname"><span class="pre">calc_val_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">loss_details</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/conditional.html#Sup3rCondMom.calc_val_loss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.calc_val_loss" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the validation loss at the current state of model training</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>batch_handler</strong> (<em>sup3r.preprocessing.BatchHandler</em>) – BatchHandler object to iterate through</p></li>
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_details</strong> (<em>dict</em>) – Same as input but now includes val_* loss info</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.dict_to_tensorboard">
+<span class="sig-name descname"><span class="pre">dict_to_tensorboard</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">entry</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.dict_to_tensorboard" title="Link to this definition">#</a></dt>
+<dd><p>Write data to tensorboard log file. This is usually a loss_details
+dictionary.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>entry</strong> (<em>dict</em>) – Dictionary of values to write to tensorboard log file</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.early_stop">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">early_stop</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">history</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.005</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.early_stop" title="Link to this definition">#</a></dt>
+<dd><p>Determine whether to stop training early based on nearly no change
+to validation loss for a certain number of consecutive epochs.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>history</strong> (<em>pd.DataFrame | None</em>) – Model training history</p></li>
+<li><p><strong>column</strong> (<em>str</em>) – Column from the model training history to evaluate for early
+termination.</p></li>
+<li><p><strong>threshold</strong> (<em>float</em>) – The absolute relative fractional difference in validation loss
+between subsequent epochs below which an early termination is
+warranted. E.g. if val losses were 0.1 and 0.0998 the relative
+diff would be calculated as 0.0002 / 0.1 = 0.002 which would be
+less than the default thresold of 0.01 and would satisfy the
+condition for early termination.</p></li>
+<li><p><strong>n_epoch</strong> (<em>int</em>) – The number of consecutive epochs that satisfy the threshold that
+warrants an early stop.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>stop</strong> (<em>bool</em>) – Flag to stop training (True) or keep going (False).</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.finish_epoch">
+<span class="sig-name descname"><span class="pre">finish_epoch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epochs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">loss_details</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint_int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_on</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_threshold</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_n_epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extras</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.finish_epoch" title="Link to this definition">#</a></dt>
+<dd><p>Perform finishing checks after an epoch is done training</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>epoch</strong> (<em>int</em>) – Epoch number that is finishing</p></li>
+<li><p><strong>epochs</strong> (<em>list</em>) – List of epochs being iterated through</p></li>
+<li><p><strong>t0</strong> (<em>float</em>) – Starting time of training.</p></li>
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p></li>
+<li><p><strong>checkpoint_int</strong> (<em>int | None</em>) – Epoch interval at which to save checkpoint models.</p></li>
+<li><p><strong>out_dir</strong> (<em>str</em>) – Directory to save checkpoint models. Should have {epoch} in
+the directory name. This directory will be created if it does not
+already exist.</p></li>
+<li><p><strong>early_stop_on</strong> (<em>str | None</em>) – If not None, this should be a column in the training history to
+evaluate for early stopping (e.g. validation_loss_gen,
+validation_loss_disc). If this value in this history decreases by
+an absolute fractional relative difference of less than 0.01 for
+more than 5 epochs in a row, the training will stop early.</p></li>
+<li><p><strong>early_stop_threshold</strong> (<em>float</em>) – The absolute relative fractional difference in validation loss
+between subsequent epochs below which an early termination is
+warranted. E.g. if val losses were 0.1 and 0.0998 the relative
+diff would be calculated as 0.0002 / 0.1 = 0.002 which would be
+less than the default thresold of 0.01 and would satisfy the
+condition for early termination.</p></li>
+<li><p><strong>early_stop_n_epoch</strong> (<em>int</em>) – The number of consecutive epochs that satisfy the threshold that
+warrants an early stop.</p></li>
+<li><p><strong>extras</strong> (<em>dict | None</em>) – Extra kwargs/parameters to save in the epoch history.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>stop</strong> (<em>bool</em>) – Flag to early stop training.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.generate">
+<span class="sig-name descname"><span class="pre">generate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_in</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">un_norm_out</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">exogenous_data</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.generate" title="Link to this definition">#</a></dt>
+<dd><p>Use the generator model to generate high res data from low res
+input. This is the public generate function.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low_res</strong> (<em>np.ndarray</em>) – Low-resolution input data, usually a 4D or 5D array of shape:
+(n_obs, spatial_1, spatial_2, n_features)
+(n_obs, spatial_1, spatial_2, n_temporal, n_features)</p></li>
+<li><p><strong>norm_in</strong> (<em>bool</em>) – Flag to normalize low_res input data if the self._means,
+self._stdevs attributes are available. The generator should always
+received normalized data with mean=0 stdev=1. This also normalizes
+hi_res_topo.</p></li>
+<li><p><strong>un_norm_out</strong> (<em>bool</em>) – Flag to un-normalize synthetically generated output data to physical
+units</p></li>
+<li><p><strong>exogenous_data</strong> (<em>dict | ExoData | None</em>) – Special dictionary (class:<cite>ExoData</cite>) of exogenous feature data with
+entries describing whether features should be combined at input, a
+mid network layer, or with output. This doesn’t have to include
+the ‘model’ key since this data is for a single step model.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>hi_res</strong> (<em>ndarray</em>) – Synthetically generated high-resolution data, usually a 4D or 5D
+array with shape:
+(n_obs, spatial_1, spatial_2, n_features)
+(n_obs, spatial_1, spatial_2, n_temporal, n_features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.generator">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">generator</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.generator" title="Link to this definition">#</a></dt>
+<dd><p>Get the generative model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>phygnn.base.CustomNetwork</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.generator_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">generator_weights</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.generator_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of layer weights and bias terms for the generator model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>list</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.get_high_res_exo_input">
+<span class="sig-name descname"><span class="pre">get_high_res_exo_input</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.get_high_res_exo_input" title="Link to this definition">#</a></dt>
+<dd><p>Get exogenous feature data from high_res</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>high_res</strong> (<em>tf.Tensor</em>) – Ground truth high resolution spatiotemporal data.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>exo_data</strong> (<em>dict</em>) – Dictionary of exogenous feature data used as input to tf_generate.
+e.g. <code class="docutils literal notranslate"><span class="pre">{'topography':</span> <span class="pre">tf.Tensor(...)}</span></code></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.get_loss_fun">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_loss_fun</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">loss</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.get_loss_fun" title="Link to this definition">#</a></dt>
+<dd><p>Get the initialized loss function class from the sup3r loss library
+or the tensorflow losses.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>loss</strong> (<em>str | dict</em>) – Loss function class name from sup3r.utilities.loss_metrics
+(prioritized) or tensorflow.keras.losses. Defaults to
+tf.keras.losses.MeanSquaredError. This can be provided as a dict
+with kwargs for loss functions with extra parameters.
+e.g. {‘SpatialExtremesLoss’: {‘weight’: 0.5}}</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>tf.keras.losses.Loss</em>) – Initialized loss function class that is callable, e.g. if
+“MeanSquaredError” is requested, this will return
+an instance of tf.keras.losses.MeanSquaredError()</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.get_optimizer_config">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_optimizer_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">optimizer</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.get_optimizer_config" title="Link to this definition">#</a></dt>
+<dd><p>Get a config that defines the current model optimizer</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer</em>) – TF-Keras optimizer object (e.g., Adam)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>config</strong> (<em>dict</em>) – Optimizer config</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.get_optimizer_state">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_optimizer_state</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">optimizer</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.get_optimizer_state" title="Link to this definition">#</a></dt>
+<dd><p>Get a set of state variables for the optimizer</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer</em>) – TF-Keras optimizer object (e.g., Adam)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>state</strong> (<em>dict</em>) – Optimizer state variables</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.get_s_enhance_from_layers">
+<span class="sig-name descname"><span class="pre">get_s_enhance_from_layers</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.get_s_enhance_from_layers" title="Link to this definition">#</a></dt>
+<dd><p>Compute factor by which model will enhance spatial resolution from
+layer attributes. Used in model training during high res coarsening</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.get_single_grad">
+<span class="sig-name descname"><span class="pre">get_single_grad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hi_res_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_weights</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">calc_loss_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.get_single_grad" title="Link to this definition">#</a></dt>
+<dd><p>Run gradient descent for one mini-batch of (low_res, hi_res_true),
+do not update weights, just return gradient details.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low_res</strong> (<em>np.ndarray</em>) – Real low-resolution data in a 4D or 5D array:
+(n_observations, spatial_1, spatial_2, features)
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>hi_res_true</strong> (<em>np.ndarray</em>) – Real high-resolution data in a 4D or 5D array:
+(n_observations, spatial_1, spatial_2, features)
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>training_weights</strong> (<em>list</em>) – A list of layer weights that are to-be-trained based on the
+current loss weight values.</p></li>
+<li><p><strong>device_name</strong> (<em>None | str</em>) – Optional tensorflow device name for GPU placement. Note that if a
+GPU is available, variables will be placed on that GPU even if
+device_name=None.</p></li>
+<li><p><strong>calc_loss_kwargs</strong> (<em>dict</em>) – Kwargs to pass to the self.calc_loss() method</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>grad</strong> (<em>list</em>) – a list or nested structure of Tensors (or IndexedSlices, or None,
+or CompositeTensor) representing the gradients for the
+training_weights</p></li>
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.get_t_enhance_from_layers">
+<span class="sig-name descname"><span class="pre">get_t_enhance_from_layers</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.get_t_enhance_from_layers" title="Link to this definition">#</a></dt>
+<dd><p>Compute factor by which model will enhance temporal resolution from
+layer attributes. Used in model training during high res coarsening</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.history">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">history</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.history" title="Link to this definition">#</a></dt>
+<dd><p>Model training history DataFrame (None if not yet trained)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>pandas.DataFrame | None</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.hr_exo_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_exo_features</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.hr_exo_features" title="Link to this definition">#</a></dt>
+<dd><p>Get list of high-resolution exogenous filter names the model uses.
+If the model has N concat or add layers this list will be the last N
+features in the training features list. The ordering is assumed to be
+the same as the order of concat or add layers. If training features is
+[…, topo, sza], and the model has 2 concat or add layers, exo
+features will be [topo, sza]. Topo will then be used in the first
+concat layer and sza will be used in the second</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.hr_out_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_out_features</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.hr_out_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the list of high-resolution output feature names that the
+generative model outputs.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.init_optimizer">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">init_optimizer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">optimizer</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.init_optimizer" title="Link to this definition">#</a></dt>
+<dd><p>Initialize keras optimizer object.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer | dict | None | str</em>) – Instantiated tf.keras.optimizers object or a dict optimizer config
+from tf.keras.optimizers.get_config(). None defaults to Adam.</p></li>
+<li><p><strong>learning_rate</strong> (<em>float, optional</em>) – Optimizer learning rate. Not used if optimizer input arg is a
+pre-initialized object or if optimizer input arg is a config dict.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer</em>) – Initialized optimizer object.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.input_dims">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">input_dims</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.input_dims" title="Link to this definition">#</a></dt>
+<dd><p>Get dimension of model generator input. This is usually 4D for
+spatial models and 5D for spatiotemporal models. This gives the input
+to the first step if the model is multi-step. Returns 5 for linear
+models.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>int</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.input_resolution">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">input_resolution</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.input_resolution" title="Link to this definition">#</a></dt>
+<dd><p>Resolution of input data. Given as a dictionary
+<code class="docutils literal notranslate"><span class="pre">{'spatial':</span> <span class="pre">'...km',</span> <span class="pre">'temporal':</span> <span class="pre">'...min'}</span></code>. The numbers are
+required to be integers in the units specified. The units are not
+strict as long as the resolution of the exogenous data, when extracting
+exogenous data, is specified in the same units.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.is_4d">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_4d</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.is_4d" title="Link to this definition">#</a></dt>
+<dd><p>Check if model expects spatial only input</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.is_5d">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_5d</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.is_5d" title="Link to this definition">#</a></dt>
+<dd><p>Check if model expects spatiotemporal input</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.load_network">
+<span class="sig-name descname"><span class="pre">load_network</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.load_network" title="Link to this definition">#</a></dt>
+<dd><p>Load a CustomNetwork object from hidden layers config, .json file
+config, or .pkl file saved pre-trained model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>model</strong> (<em>str | dict</em>) – Model hidden layers config, a .json with “hidden_layers” key, or a
+.pkl for a saved pre-trained model.</p></li>
+<li><p><strong>name</strong> (<em>str</em>) – Name of the model to be loaded</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>model</strong> (<em>phygnn.CustomNetwork</em>) – CustomNetwork object initialized from the model input.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.load_saved_params">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">load_saved_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.load_saved_params" title="Link to this definition">#</a></dt>
+<dd><p>Load saved model_params (you need this and the gen+disc models
+to load a full model).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>out_dir</strong> (<em>str</em>) – Directory to load model files from.</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to log information about the loaded model.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>params</strong> (<em>dict</em>) – Model parameters loaded from disk json file. This should be the
+same as self.model_params with and additional ‘history’ entry.
+Should be all the kwargs you need to init a model.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.log_loss_details">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">log_loss_details</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">loss_details</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">level</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'INFO'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.log_loss_details" title="Link to this definition">#</a></dt>
+<dd><p>Log the loss details to the module logger.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components where each value is a
+running average at the current state in the epoch.</p></li>
+<li><p><strong>level</strong> (<em>str</em>) – Log level (e.g. INFO, DEBUG)</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.lr_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_features</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.lr_features" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of low-resolution features input to the generative model.
+This includes low-resolution features that might be supplied
+exogenously at inference time but that were in the low-res batches
+during training</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.means">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">means</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.means" title="Link to this definition">#</a></dt>
+<dd><p>Get the data normalization mean values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>np.ndarray</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.norm_input">
+<span class="sig-name descname"><span class="pre">norm_input</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.norm_input" title="Link to this definition">#</a></dt>
+<dd><p>Normalize low resolution data being input to the generator.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>low_res</strong> (<em>np.ndarray</em>) – Un-normalized low-resolution input data in physical units, usually
+a 4D or 5D array of shape:
+(n_obs, spatial_1, spatial_2, n_features)
+(n_obs, spatial_1, spatial_2, n_temporal, n_features)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>low_res</strong> (<em>np.ndarray</em>) – Normalized low-resolution input data, usually a 4D or 5D array of
+shape:
+(n_obs, spatial_1, spatial_2, n_features)
+(n_obs, spatial_1, spatial_2, n_temporal, n_features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.optimizer">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">optimizer</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.optimizer" title="Link to this definition">#</a></dt>
+<dd><p>Get the tensorflow optimizer to perform gradient descent
+calculations for the generative network. This is functionally identical
+to optimizer_disc is no special optimizer model or learning rate was
+specified for the disc.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>tf.keras.optimizers.Optimizer</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.output_resolution">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_resolution</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.output_resolution" title="Link to this definition">#</a></dt>
+<dd><p>Resolution of output data. Given as a dictionary
+{‘spatial’: ‘…km’, ‘temporal’: ‘…min’}. This is computed from the
+input resolution and the enhancement factors.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.profile_to_tensorboard">
+<span class="sig-name descname"><span class="pre">profile_to_tensorboard</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.profile_to_tensorboard" title="Link to this definition">#</a></dt>
+<dd><p>Write profile data to tensorboard log file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>name</strong> (<em>str</em>) – Tag name to use for profile info</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.run_gradient_descent">
+<span class="sig-name descname"><span class="pre">run_gradient_descent</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hi_res_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_weights</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optimizer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">multi_gpu</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">calc_loss_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.run_gradient_descent" title="Link to this definition">#</a></dt>
+<dd><p>Run gradient descent for one mini-batch of (low_res, hi_res_true)
+and update weights</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low_res</strong> (<em>np.ndarray</em>) – Real low-resolution data in a 4D or 5D array:
+(n_observations, spatial_1, spatial_2, features)
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>hi_res_true</strong> (<em>np.ndarray</em>) – Real high-resolution data in a 4D or 5D array:
+(n_observations, spatial_1, spatial_2, features)
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>training_weights</strong> (<em>list</em>) – A list of layer weights that are to-be-trained based on the
+current loss weight values.</p></li>
+<li><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer</em>) – Optimizer class to use to update weights. This can be different if
+you’re training just the generator or one of the discriminator
+models. Defaults to the generator optimizer.</p></li>
+<li><p><strong>multi_gpu</strong> (<em>bool</em>) – Flag to break up the batch for parallel gradient descent
+calculations on multiple gpus. If True and multiple GPUs are
+present, each batch from the batch_handler will be divided up
+between the GPUs and the resulting gradient from each GPU will
+constitute a single gradient descent step with the nominal learning
+rate that the model was initialized with.</p></li>
+<li><p><strong>calc_loss_kwargs</strong> (<em>dict</em>) – Kwargs to pass to the self.calc_loss() method</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.s_enhance">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_enhance</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.s_enhance" title="Link to this definition">#</a></dt>
+<dd><p>Factor by which model will enhance spatial resolution. Used in
+model training during high res coarsening and also in forward pass
+routine to determine shape of needed exogenous data</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.s_enhancements">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_enhancements</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.s_enhancements" title="Link to this definition">#</a></dt>
+<dd><p>List of spatial enhancement factors. In the case of a single step
+model this is just <code class="docutils literal notranslate"><span class="pre">[self.s_enhance]</span></code>. This is used to determine
+shapes of needed exogenous data in forward pass routine</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.save_params">
+<span class="sig-name descname"><span class="pre">save_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.save_params" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>out_dir</strong> (<em>str</em>) – Directory to save linear model params. This directory will be
+created if it does not already exist.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.seed">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">seed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.seed" title="Link to this definition">#</a></dt>
+<dd><p>Set the random seed for reproducible results.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>s</strong> (<em>int</em>) – Random seed</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.set_model_params">
+<span class="sig-name descname"><span class="pre">set_model_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.set_model_params" title="Link to this definition">#</a></dt>
+<dd><p>Set parameters used for training the model</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>kwargs</strong> (<em>dict</em>) – Keyword arguments including ‘input_resolution’,
+‘lr_features’, ‘hr_exo_features’, ‘hr_out_features’,
+‘smoothed_features’, ‘s_enhance’, ‘t_enhance’, ‘smoothing’</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.set_norm_stats">
+<span class="sig-name descname"><span class="pre">set_norm_stats</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">new_means</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_stdevs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.set_norm_stats" title="Link to this definition">#</a></dt>
+<dd><p>Set the normalization statistics associated with a data batch
+handler to model attributes.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>new_means</strong> (<em>dict | None</em>) – Set of mean values for data normalization keyed by feature name.
+Can be used to maintain a consistent normalization scheme between
+transfer learning domains.</p></li>
+<li><p><strong>new_stdevs</strong> (<em>dict | None</em>) – Set of stdev values for data normalization keyed by feature name.
+Can be used to maintain a consistent normalization scheme between
+transfer learning domains.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.smoothed_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">smoothed_features</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.smoothed_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the list of smoothed input feature names that the generative
+model was trained on.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.smoothing">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">smoothing</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.smoothing" title="Link to this definition">#</a></dt>
+<dd><p>Value of smoothing parameter used in gaussian filtering of coarsened
+high res data.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.stdevs">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">stdevs</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.stdevs" title="Link to this definition">#</a></dt>
+<dd><p>Get the data normalization standard deviation values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>np.ndarray</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.t_enhance">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">t_enhance</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.t_enhance" title="Link to this definition">#</a></dt>
+<dd><p>Factor by which model will enhance temporal resolution. Used in
+model training during high res coarsening and also in forward pass
+routine to determine shape of needed exogenous data</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.t_enhancements">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">t_enhancements</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.t_enhancements" title="Link to this definition">#</a></dt>
+<dd><p>List of temporal enhancement factors. In the case of a single step
+model this is just <code class="docutils literal notranslate"><span class="pre">[self.t_enhance]</span></code>. This is used to determine
+shapes of needed exogenous data in forward pass routine</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.total_batches">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">total_batches</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.total_batches" title="Link to this definition">#</a></dt>
+<dd><p>Record of total number of batches for logging.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.un_norm_output">
+<span class="sig-name descname"><span class="pre">un_norm_output</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">output</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.un_norm_output" title="Link to this definition">#</a></dt>
+<dd><p>Un-normalize synthetically generated output data to physical units</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>output</strong> (<em>tf.Tensor | np.ndarray</em>) – Synthetically generated high-resolution data</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>output</strong> (<em>np.ndarray</em>) – Synthetically generated high-resolution data</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.update_loss_details">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">update_loss_details</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">loss_details</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_len</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prefix</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.update_loss_details" title="Link to this definition">#</a></dt>
+<dd><p>Update a dictionary of loss_details with loss information from a new
+batch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components where each value is a
+running average at the current state in the epoch.</p></li>
+<li><p><strong>new_data</strong> (<em>dict</em>) – Namespace of the breakdown of loss components for a single new
+batch.</p></li>
+<li><p><strong>batch_len</strong> (<em>int</em>) – Length of the incoming batch.</p></li>
+<li><p><strong>prefix</strong> (<em>None | str</em>) – Option to prefix the names of the loss data when saving to the
+loss_details dictionary.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_details</strong> (<em>dict</em>) – Same as input loss_details but with running averages updated.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.version_record">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">version_record</span></span><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.version_record" title="Link to this definition">#</a></dt>
+<dd><p>A record of important versions that this model was built with.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>dict</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.train_epoch">
+<span class="sig-name descname"><span class="pre">train_epoch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">multi_gpu</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/conditional.html#Sup3rCondMom.train_epoch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.train_epoch" title="Link to this definition">#</a></dt>
+<dd><p>Train the model for one epoch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>batch_handler</strong> (<em>sup3r.preprocessing.BatchHandler</em>) – BatchHandler object to iterate through</p></li>
+<li><p><strong>multi_gpu</strong> (<em>bool</em>) – Flag to break up the batch for parallel gradient descent
+calculations on multiple gpus. If True and multiple GPUs are
+present, each batch from the batch_handler will be divided up
+between the GPUs and the resulting gradient from each GPU will
+constitute a single gradient descent step with the nominal learning
+rate that the model was initialized with.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.conditional.Sup3rCondMom.train">
+<span class="sig-name descname"><span class="pre">train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_resolution</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint_int</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'./condMom_{epoch}'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_on</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.005</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_n_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">multi_gpu</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensorboard_log</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/conditional.html#Sup3rCondMom.train"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.conditional.Sup3rCondMom.train" title="Link to this definition">#</a></dt>
+<dd><p>Train the model on real low res data and real high res data</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>batch_handler</strong> (<em>sup3r.preprocessing.BatchHandler</em>) – BatchHandler object to iterate through</p></li>
+<li><p><strong>input_resolution</strong> (<em>dict</em>) – Dictionary specifying spatiotemporal input resolution. e.g.
+{‘temporal’: ‘60min’, ‘spatial’: ‘30km’}</p></li>
+<li><p><strong>n_epoch</strong> (<em>int</em>) – Number of epochs to train on</p></li>
+<li><p><strong>checkpoint_int</strong> (<em>int | None</em>) – Epoch interval at which to save checkpoint models.</p></li>
+<li><p><strong>out_dir</strong> (<em>str</em>) – Directory to save checkpoint models. Should have {epoch} in
+the directory name. This directory will be created if it does not
+already exist.</p></li>
+<li><p><strong>early_stop_on</strong> (<em>str | None</em>) – If not None, this should be a column in the training history to
+evaluate for early stopping (e.g. validation_loss_gen).
+If this value in this history decreases by
+an absolute fractional relative difference of less than 0.01 for
+more than 5 epochs in a row, the training will stop early.</p></li>
+<li><p><strong>early_stop_threshold</strong> (<em>float</em>) – The absolute relative fractional difference in validation loss
+between subsequent epochs below which an early termination is
+warranted. E.g. if val losses were 0.1 and 0.0998 the relative
+diff would be calculated as 0.0002 / 0.1 = 0.002 which would be
+less than the default thresold of 0.01 and would satisfy the
+condition for early termination.</p></li>
+<li><p><strong>early_stop_n_epoch</strong> (<em>int</em>) – The number of consecutive epochs that satisfy the threshold that
+warrants an early stop.</p></li>
+<li><p><strong>multi_gpu</strong> (<em>bool</em>) – Flag to break up the batch for parallel gradient descent
+calculations on multiple gpus. If True and multiple GPUs are
+present, each batch from the batch_handler will be divided up
+between the GPUs and the resulting gradient from each GPU will
+constitute a single gradient descent step with the nominal learning
+rate that the model was initialized with.</p></li>
+<li><p><strong>tensorboard_log</strong> (<em>bool</em>) – Whether to write log file for use with tensorboard. Log data can
+be viewed with <code class="docutils literal notranslate"><span class="pre">tensorboard</span> <span class="pre">--logdir</span> <span class="pre">&lt;logdir&gt;</span></code> where <code class="docutils literal notranslate"><span class="pre">&lt;logdir&gt;</span></code>
+is the parent directory of <code class="docutils literal notranslate"><span class="pre">out_dir</span></code>, and pointing the browser to
+the printed address.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
+              
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+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.save"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.save()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.load"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.update_optimizer"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.update_optimizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.meta"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.model_params"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.model_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.weights"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.calc_loss_cond_mom"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.calc_loss_cond_mom()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.calc_loss"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.calc_loss()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.calc_val_loss"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.calc_val_loss()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.dict_to_tensorboard"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.dict_to_tensorboard()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.early_stop"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.early_stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.finish_epoch"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.finish_epoch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.generate"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.generate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.generator"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.generator</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.generator_weights"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.generator_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.get_high_res_exo_input"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.get_high_res_exo_input()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.get_loss_fun"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.get_loss_fun()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.get_optimizer_config"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.get_optimizer_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.get_optimizer_state"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.get_optimizer_state()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.get_s_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.get_s_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.get_single_grad"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.get_single_grad()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.get_t_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.get_t_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.history"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.history</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.hr_out_features"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.init_optimizer"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.init_optimizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.input_dims"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.input_dims</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.input_resolution"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.input_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.is_4d"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.is_4d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.is_5d"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.is_5d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.load_network"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.load_network()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.load_saved_params"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.load_saved_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.log_loss_details"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.log_loss_details()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.lr_features"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.lr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.means"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.means</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.norm_input"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.norm_input()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.optimizer"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.optimizer</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.output_resolution"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.output_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.profile_to_tensorboard"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.profile_to_tensorboard()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.run_gradient_descent"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.run_gradient_descent()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.s_enhance"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.s_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.s_enhancements"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.s_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.save_params"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.save_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.seed"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.seed()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.set_model_params"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.set_model_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.set_norm_stats"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.set_norm_stats()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.smoothed_features"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.smoothed_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.smoothing"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.smoothing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.stdevs"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.stdevs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.t_enhance"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.t_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.t_enhancements"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.t_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.total_batches"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.total_batches</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.un_norm_output"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.un_norm_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.update_loss_details"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.update_loss_details()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.version_record"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.version_record</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.train_epoch"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.train_epoch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.conditional.Sup3rCondMom.train"><code class="docutils literal notranslate"><span class="pre">Sup3rCondMom.train()</span></code></a></li>
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+  <section id="module-sup3r.models.conditional">
+<span id="sup3r-models-conditional"></span><h1>sup3r.models.conditional<a class="headerlink" href="#module-sup3r.models.conditional" title="Link to this heading">#</a></h1>
+<p>Sup3r conditional moment model software</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom" title="sup3r.models.conditional.Sup3rCondMom"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Sup3rCondMom</span></code></a>(gen_layers[, optimizer, ...])</p></td>
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+    <h1>sup3r.models.dc.Sup3rGanDC</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.calc_val_loss_gen"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.calc_val_loss_gen()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.calc_val_loss_gen_content"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.calc_val_loss_gen_content()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.calc_val_loss"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.calc_val_loss()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.calc_loss"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.calc_loss()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.calc_loss_disc"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.calc_loss_disc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.calc_loss_gen_advers"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.calc_loss_gen_advers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.calc_loss_gen_content"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.calc_loss_gen_content()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.check_batch_handler_attrs"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.check_batch_handler_attrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.dict_to_tensorboard"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.dict_to_tensorboard()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.discriminate"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.discriminate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.discriminator"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.discriminator</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.discriminator_weights"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.discriminator_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.early_stop"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.early_stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.finish_epoch"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.finish_epoch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.generate"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.generate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.generator"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.generator</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.generator_weights"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.generator_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.get_high_res_exo_input"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.get_high_res_exo_input()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.get_loss_fun"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.get_loss_fun()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.get_optimizer_config"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.get_optimizer_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.get_optimizer_state"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.get_optimizer_state()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.get_s_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.get_s_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.get_single_grad"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.get_single_grad()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.get_t_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.get_t_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.get_weight_update_fraction"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.get_weight_update_fraction()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.history"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.history</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.hr_out_features"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.init_optimizer"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.init_optimizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.init_weights"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.init_weights()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.input_dims"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.input_dims</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.input_resolution"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.input_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.is_4d"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.is_4d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.is_5d"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.is_5d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.load"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.load_network"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.load_network()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.load_saved_params"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.load_saved_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.log_loss_details"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.log_loss_details()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.lr_features"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.lr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.means"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.means</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.meta"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.model_params"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.model_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.norm_input"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.norm_input()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.optimizer"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.optimizer</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.optimizer_disc"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.optimizer_disc</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.output_resolution"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.output_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.profile_to_tensorboard"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.profile_to_tensorboard()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.run_gradient_descent"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.run_gradient_descent()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.s_enhance"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.s_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.s_enhancements"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.s_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.save"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.save()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.save_params"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.save_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.seed"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.seed()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.set_model_params"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.set_model_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.set_norm_stats"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.set_norm_stats()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.smoothed_features"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.smoothed_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.smoothing"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.smoothing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.stdevs"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.stdevs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.t_enhance"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.t_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.t_enhancements"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.t_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.total_batches"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.total_batches</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.train"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.train()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.train_epoch"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.train_epoch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.un_norm_output"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.un_norm_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.update_adversarial_weights"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.update_adversarial_weights()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.update_loss_details"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.update_loss_details()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.update_optimizer"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.update_optimizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.version_record"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.version_record</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.weights"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.weights</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-models-dc-sup3rgandc">
+<h1>sup3r.models.dc.Sup3rGanDC<a class="headerlink" href="#sup3r-models-dc-sup3rgandc" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Sup3rGanDC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">gen_layers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">disc_layers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">loss</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'MeanSquaredError'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optimizer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0001</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optimizer_disc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate_disc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">history</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">means</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stdevs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default_device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/dc.html#Sup3rGanDC"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan" title="sup3r.models.base.Sup3rGan"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rGan</span></code></a></p>
+<p>Data-centric model using loss across time bins to select training
+observations</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>gen_layers</strong> (<em>list | str</em>) – Hidden layers input argument to phygnn.base.CustomNetwork for the
+generative super resolving model. Can also be a str filepath to a
+.json config file containing the input layers argument or a .pkl
+for a saved pre-trained model.</p></li>
+<li><p><strong>disc_layers</strong> (<em>list | str</em>) – Hidden layers input argument to phygnn.base.CustomNetwork for the
+discriminative model (spatial or spatiotemporal discriminator). Can
+also be a str filepath to a .json config file containing the input
+layers argument or a .pkl for a saved pre-trained model.</p></li>
+<li><p><strong>loss</strong> (<em>str | dict</em>) – Loss function class name from sup3r.utilities.loss_metrics
+(prioritized) or tensorflow.keras.losses. Defaults to
+tf.keras.losses.MeanSquaredError. This can be provided as a dict
+with kwargs for loss functions with extra parameters.
+e.g. {‘SpatialExtremesLoss’: {‘weight’: 0.5}}</p></li>
+<li><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer | dict | None | str</em>) – Instantiated tf.keras.optimizers object or a dict optimizer config
+from tf.keras.optimizers.get_config(). None defaults to Adam.</p></li>
+<li><p><strong>learning_rate</strong> (<em>float, optional</em>) – Optimizer learning rate. Not used if optimizer input arg is a
+pre-initialized object or if optimizer input arg is a config dict.</p></li>
+<li><p><strong>optimizer_disc</strong> (<em>tf.keras.optimizers.Optimizer | dict | None</em>) – Same as optimizer input, but if specified this makes a different
+optimizer just for the discriminator network (spatial or
+spatiotemporal disc).</p></li>
+<li><p><strong>learning_rate_disc</strong> (<em>float, optional</em>) – Same as learning_rate input, but if specified this makes a
+different learning_rate just for the discriminator network (spatial
+or spatiotemporal disc).</p></li>
+<li><p><strong>history</strong> (<em>pd.DataFrame | str | None</em>) – Model training history with “epoch” index, str pointing to a saved
+history csv file with “epoch” as first column, or None for clean
+history</p></li>
+<li><p><strong>meta</strong> (<em>dict | None</em>) – Model meta data that describes how the model was created.</p></li>
+<li><p><strong>means</strong> (<em>dict | None</em>) – Set of mean values for data normalization keyed by feature name.
+Can be used to maintain a consistent normalization scheme between
+transfer learning domains.</p></li>
+<li><p><strong>stdevs</strong> (<em>dict | None</em>) – Set of stdev values for data normalization keyed by feature name.
+Can be used to maintain a consistent normalization scheme between
+transfer learning domains.</p></li>
+<li><p><strong>default_device</strong> (<em>str | None</em>) – Option for default device placement of model weights. If None and a
+single GPU exists, that GPU will be the default device. If None and
+multiple GPUs exist, the CPU will be the default device (this was
+tested as most efficient given the custom multi-gpu strategy
+developed in self.run_gradient_descent()). Examples: “/gpu:0” or
+“/cpu:0”</p></li>
+<li><p><strong>name</strong> (<em>str | None</em>) – Optional name for the GAN.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.calc_loss" title="sup3r.models.dc.Sup3rGanDC.calc_loss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calc_loss</span></code></a>(hi_res_true, hi_res_gen[, ...])</p></td>
+<td><p>Calculate the GAN loss function using generated and true high resolution data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.calc_loss_disc" title="sup3r.models.dc.Sup3rGanDC.calc_loss_disc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calc_loss_disc</span></code></a>(disc_out_true, disc_out_gen)</p></td>
+<td><p>Calculate the loss term for the discriminator model (either the spatial or temporal discriminator).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.calc_loss_gen_advers" title="sup3r.models.dc.Sup3rGanDC.calc_loss_gen_advers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calc_loss_gen_advers</span></code></a>(disc_out_gen)</p></td>
+<td><p>Calculate the adversarial component of the loss term for the generator model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.calc_loss_gen_content" title="sup3r.models.dc.Sup3rGanDC.calc_loss_gen_content"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calc_loss_gen_content</span></code></a>(hi_res_true, hi_res_gen)</p></td>
+<td><p>Calculate the content loss term for the generator model.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.calc_val_loss" title="sup3r.models.dc.Sup3rGanDC.calc_val_loss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calc_val_loss</span></code></a>(batch_handler, ...)</p></td>
+<td><p>Overloading the base calc_val_loss method.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.calc_val_loss_gen" title="sup3r.models.dc.Sup3rGanDC.calc_val_loss_gen"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calc_val_loss_gen</span></code></a>(batch_handler, ...)</p></td>
+<td><p>Calculate the validation total loss across the validation samples.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.calc_val_loss_gen_content" title="sup3r.models.dc.Sup3rGanDC.calc_val_loss_gen_content"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calc_val_loss_gen_content</span></code></a>(batch_handler)</p></td>
+<td><p>Calculate the validation content loss across the validation samples.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.check_batch_handler_attrs" title="sup3r.models.dc.Sup3rGanDC.check_batch_handler_attrs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_batch_handler_attrs</span></code></a>(batch_handler)</p></td>
+<td><p>Not all batch handlers have the following attributes.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.dict_to_tensorboard" title="sup3r.models.dc.Sup3rGanDC.dict_to_tensorboard"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dict_to_tensorboard</span></code></a>(entry)</p></td>
+<td><p>Write data to tensorboard log file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.discriminate" title="sup3r.models.dc.Sup3rGanDC.discriminate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">discriminate</span></code></a>(hi_res[, norm_in])</p></td>
+<td><p>Run the discriminator model on a hi resolution input field.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.early_stop" title="sup3r.models.dc.Sup3rGanDC.early_stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">early_stop</span></code></a>(history, column[, threshold, n_epoch])</p></td>
+<td><p>Determine whether to stop training early based on nearly no change to validation loss for a certain number of consecutive epochs.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.finish_epoch" title="sup3r.models.dc.Sup3rGanDC.finish_epoch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">finish_epoch</span></code></a>(epoch, epochs, t0, ...[, extras])</p></td>
+<td><p>Perform finishing checks after an epoch is done training</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.generate" title="sup3r.models.dc.Sup3rGanDC.generate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">generate</span></code></a>(low_res[, norm_in, un_norm_out, ...])</p></td>
+<td><p>Use the generator model to generate high res data from low res input.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.get_high_res_exo_input" title="sup3r.models.dc.Sup3rGanDC.get_high_res_exo_input"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_high_res_exo_input</span></code></a>(high_res)</p></td>
+<td><p>Get exogenous feature data from high_res</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.get_loss_fun" title="sup3r.models.dc.Sup3rGanDC.get_loss_fun"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_loss_fun</span></code></a>(loss)</p></td>
+<td><p>Get the initialized loss function class from the sup3r loss library or the tensorflow losses.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.get_optimizer_config" title="sup3r.models.dc.Sup3rGanDC.get_optimizer_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_optimizer_config</span></code></a>(optimizer)</p></td>
+<td><p>Get a config that defines the current model optimizer</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.get_optimizer_state" title="sup3r.models.dc.Sup3rGanDC.get_optimizer_state"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_optimizer_state</span></code></a>(optimizer)</p></td>
+<td><p>Get a set of state variables for the optimizer</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.get_s_enhance_from_layers" title="sup3r.models.dc.Sup3rGanDC.get_s_enhance_from_layers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_s_enhance_from_layers</span></code></a>()</p></td>
+<td><p>Compute factor by which model will enhance spatial resolution from layer attributes.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.get_single_grad" title="sup3r.models.dc.Sup3rGanDC.get_single_grad"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_single_grad</span></code></a>(low_res, hi_res_true, ...[, ...])</p></td>
+<td><p>Run gradient descent for one mini-batch of (low_res, hi_res_true), do not update weights, just return gradient details.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.get_t_enhance_from_layers" title="sup3r.models.dc.Sup3rGanDC.get_t_enhance_from_layers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_t_enhance_from_layers</span></code></a>()</p></td>
+<td><p>Compute factor by which model will enhance temporal resolution from layer attributes.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.get_weight_update_fraction" title="sup3r.models.dc.Sup3rGanDC.get_weight_update_fraction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_weight_update_fraction</span></code></a>(history, ...[, ...])</p></td>
+<td><p>Get the factor by which to multiply previous adversarial loss weight</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.init_optimizer" title="sup3r.models.dc.Sup3rGanDC.init_optimizer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_optimizer</span></code></a>(optimizer, learning_rate)</p></td>
+<td><p>Initialize keras optimizer object.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.init_weights" title="sup3r.models.dc.Sup3rGanDC.init_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_weights</span></code></a>(lr_shape, hr_shape[, device])</p></td>
+<td><p>Initialize the generator and discriminator weights with device placement.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.load" title="sup3r.models.dc.Sup3rGanDC.load"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load</span></code></a>(model_dir[, verbose])</p></td>
+<td><p>Load the GAN with its sub-networks from a previously saved-to output directory.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.load_network" title="sup3r.models.dc.Sup3rGanDC.load_network"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load_network</span></code></a>(model, name)</p></td>
+<td><p>Load a CustomNetwork object from hidden layers config, .json file config, or .pkl file saved pre-trained model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.load_saved_params" title="sup3r.models.dc.Sup3rGanDC.load_saved_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load_saved_params</span></code></a>(out_dir[, verbose])</p></td>
+<td><p>Load saved model_params (you need this and the gen+disc models to load a full model).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.log_loss_details" title="sup3r.models.dc.Sup3rGanDC.log_loss_details"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_loss_details</span></code></a>(loss_details[, level])</p></td>
+<td><p>Log the loss details to the module logger.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.norm_input" title="sup3r.models.dc.Sup3rGanDC.norm_input"><code class="xref py py-obj docutils literal notranslate"><span class="pre">norm_input</span></code></a>(low_res)</p></td>
+<td><p>Normalize low resolution data being input to the generator.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.profile_to_tensorboard" title="sup3r.models.dc.Sup3rGanDC.profile_to_tensorboard"><code class="xref py py-obj docutils literal notranslate"><span class="pre">profile_to_tensorboard</span></code></a>(name)</p></td>
+<td><p>Write profile data to tensorboard log file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.run_gradient_descent" title="sup3r.models.dc.Sup3rGanDC.run_gradient_descent"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run_gradient_descent</span></code></a>(low_res, hi_res_true, ...)</p></td>
+<td><p>Run gradient descent for one mini-batch of (low_res, hi_res_true) and update weights</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.save" title="sup3r.models.dc.Sup3rGanDC.save"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save</span></code></a>(out_dir)</p></td>
+<td><p>Save the GAN with its sub-networks to a directory.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.save_params" title="sup3r.models.dc.Sup3rGanDC.save_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save_params</span></code></a>(out_dir)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.seed" title="sup3r.models.dc.Sup3rGanDC.seed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">seed</span></code></a>([s])</p></td>
+<td><p>Set the random seed for reproducible results.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.set_model_params" title="sup3r.models.dc.Sup3rGanDC.set_model_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_model_params</span></code></a>(**kwargs)</p></td>
+<td><p>Set parameters used for training the model</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.set_norm_stats" title="sup3r.models.dc.Sup3rGanDC.set_norm_stats"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_norm_stats</span></code></a>(new_means, new_stdevs)</p></td>
+<td><p>Set the normalization statistics associated with a data batch handler to model attributes.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.train" title="sup3r.models.dc.Sup3rGanDC.train"><code class="xref py py-obj docutils literal notranslate"><span class="pre">train</span></code></a>(batch_handler, input_resolution, n_epoch)</p></td>
+<td><p>Train the GAN model on real low res data and real high res data</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.train_epoch" title="sup3r.models.dc.Sup3rGanDC.train_epoch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">train_epoch</span></code></a>(batch_handler, ...[, multi_gpu])</p></td>
+<td><p>Train the GAN for one epoch.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.un_norm_output" title="sup3r.models.dc.Sup3rGanDC.un_norm_output"><code class="xref py py-obj docutils literal notranslate"><span class="pre">un_norm_output</span></code></a>(output)</p></td>
+<td><p>Un-normalize synthetically generated output data to physical units</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.update_adversarial_weights" title="sup3r.models.dc.Sup3rGanDC.update_adversarial_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_adversarial_weights</span></code></a>(history, ...)</p></td>
+<td><p>Update spatial / temporal adversarial loss weights based on training fraction history.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.update_loss_details" title="sup3r.models.dc.Sup3rGanDC.update_loss_details"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_loss_details</span></code></a>(loss_details, new_data, ...)</p></td>
+<td><p>Update a dictionary of loss_details with loss information from a new batch.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.update_optimizer" title="sup3r.models.dc.Sup3rGanDC.update_optimizer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_optimizer</span></code></a>([option])</p></td>
+<td><p>Update optimizer by changing current configuration</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.discriminator" title="sup3r.models.dc.Sup3rGanDC.discriminator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">discriminator</span></code></a></p></td>
+<td><p>Get the discriminator model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.discriminator_weights" title="sup3r.models.dc.Sup3rGanDC.discriminator_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">discriminator_weights</span></code></a></p></td>
+<td><p>Get a list of layer weights and bias terms for the discriminator model.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.generator" title="sup3r.models.dc.Sup3rGanDC.generator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">generator</span></code></a></p></td>
+<td><p>Get the generative model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.generator_weights" title="sup3r.models.dc.Sup3rGanDC.generator_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">generator_weights</span></code></a></p></td>
+<td><p>Get a list of layer weights and bias terms for the generator model.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.history" title="sup3r.models.dc.Sup3rGanDC.history"><code class="xref py py-obj docutils literal notranslate"><span class="pre">history</span></code></a></p></td>
+<td><p>Model training history DataFrame (None if not yet trained)</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.hr_exo_features" title="sup3r.models.dc.Sup3rGanDC.hr_exo_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_exo_features</span></code></a></p></td>
+<td><p>Get list of high-resolution exogenous filter names the model uses.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.hr_out_features" title="sup3r.models.dc.Sup3rGanDC.hr_out_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_out_features</span></code></a></p></td>
+<td><p>Get the list of high-resolution output feature names that the generative model outputs.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.input_dims" title="sup3r.models.dc.Sup3rGanDC.input_dims"><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_dims</span></code></a></p></td>
+<td><p>Get dimension of model generator input.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.input_resolution" title="sup3r.models.dc.Sup3rGanDC.input_resolution"><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_resolution</span></code></a></p></td>
+<td><p>Resolution of input data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.is_4d" title="sup3r.models.dc.Sup3rGanDC.is_4d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_4d</span></code></a></p></td>
+<td><p>Check if model expects spatial only input</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.is_5d" title="sup3r.models.dc.Sup3rGanDC.is_5d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_5d</span></code></a></p></td>
+<td><p>Check if model expects spatiotemporal input</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.lr_features" title="sup3r.models.dc.Sup3rGanDC.lr_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_features</span></code></a></p></td>
+<td><p>Get a list of low-resolution features input to the generative model.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.means" title="sup3r.models.dc.Sup3rGanDC.means"><code class="xref py py-obj docutils literal notranslate"><span class="pre">means</span></code></a></p></td>
+<td><p>Get the data normalization mean values.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.meta" title="sup3r.models.dc.Sup3rGanDC.meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meta</span></code></a></p></td>
+<td><p>Get meta data dictionary that defines how the model was created</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.model_params" title="sup3r.models.dc.Sup3rGanDC.model_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">model_params</span></code></a></p></td>
+<td><p>Model parameters, used to save model to disc</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.optimizer" title="sup3r.models.dc.Sup3rGanDC.optimizer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">optimizer</span></code></a></p></td>
+<td><p>Get the tensorflow optimizer to perform gradient descent calculations for the generative network.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.optimizer_disc" title="sup3r.models.dc.Sup3rGanDC.optimizer_disc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">optimizer_disc</span></code></a></p></td>
+<td><p>Get the tensorflow optimizer to perform gradient descent calculations for the discriminator network.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.output_resolution" title="sup3r.models.dc.Sup3rGanDC.output_resolution"><code class="xref py py-obj docutils literal notranslate"><span class="pre">output_resolution</span></code></a></p></td>
+<td><p>Resolution of output data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.s_enhance" title="sup3r.models.dc.Sup3rGanDC.s_enhance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhance</span></code></a></p></td>
+<td><p>Factor by which model will enhance spatial resolution.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.s_enhancements" title="sup3r.models.dc.Sup3rGanDC.s_enhancements"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhancements</span></code></a></p></td>
+<td><p>List of spatial enhancement factors.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.smoothed_features" title="sup3r.models.dc.Sup3rGanDC.smoothed_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">smoothed_features</span></code></a></p></td>
+<td><p>Get the list of smoothed input feature names that the generative model was trained on.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.smoothing" title="sup3r.models.dc.Sup3rGanDC.smoothing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">smoothing</span></code></a></p></td>
+<td><p>Value of smoothing parameter used in gaussian filtering of coarsened high res data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.stdevs" title="sup3r.models.dc.Sup3rGanDC.stdevs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stdevs</span></code></a></p></td>
+<td><p>Get the data normalization standard deviation values.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.t_enhance" title="sup3r.models.dc.Sup3rGanDC.t_enhance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhance</span></code></a></p></td>
+<td><p>Factor by which model will enhance temporal resolution.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.t_enhancements" title="sup3r.models.dc.Sup3rGanDC.t_enhancements"><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhancements</span></code></a></p></td>
+<td><p>List of temporal enhancement factors.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.total_batches" title="sup3r.models.dc.Sup3rGanDC.total_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">total_batches</span></code></a></p></td>
+<td><p>Record of total number of batches for logging.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.version_record" title="sup3r.models.dc.Sup3rGanDC.version_record"><code class="xref py py-obj docutils literal notranslate"><span class="pre">version_record</span></code></a></p></td>
+<td><p>A record of important versions that this model was built with.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.dc.Sup3rGanDC.weights" title="sup3r.models.dc.Sup3rGanDC.weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">weights</span></code></a></p></td>
+<td><p>Get a list of all the layer weights and bias terms for the generator and discriminator networks</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.calc_val_loss_gen">
+<span class="sig-name descname"><span class="pre">calc_val_loss_gen</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weight_gen_advers</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/dc.html#Sup3rGanDC.calc_val_loss_gen"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.calc_val_loss_gen" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the validation total loss across the validation
+samples. e.g. If the sample domain has 100 steps and the
+validation set has 10 bins then this will get a list of losses across
+step 0 to 10, 10 to 20, etc.  Use this to determine performance
+within bins and to update how observations are selected from these
+bins.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>batch_handler</strong> (<em>sup3r.preprocessing.BatchHandlerDC</em>) – BatchHandler object to iterate through</p></li>
+<li><p><strong>weight_gen_advers</strong> (<em>float</em>) – Weight factor for the adversarial loss component of the generator
+vs. the discriminator.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>array</em> – Array of total losses for all sample bins, with shape
+(n_space_bins, n_time_bins)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.calc_val_loss_gen_content">
+<span class="sig-name descname"><span class="pre">calc_val_loss_gen_content</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_handler</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/dc.html#Sup3rGanDC.calc_val_loss_gen_content"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.calc_val_loss_gen_content" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the validation content loss across the validation
+samples. e.g. If the sample domain has 100 steps and the
+validation set has 10 bins then this will get a list of losses across
+step 0 to 10, 10 to 20, etc.  Use this to determine performance
+within bins and to update how observations are selected from these
+bins.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>batch_handler</strong> (<em>sup3r.preprocessing.BatchHandlerDC</em>) – BatchHandler object to iterate through</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>list</em> – List of content losses for all sample bins</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.calc_val_loss">
+<span class="sig-name descname"><span class="pre">calc_val_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weight_gen_advers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">loss_details</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/dc.html#Sup3rGanDC.calc_val_loss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.calc_val_loss" title="Link to this definition">#</a></dt>
+<dd><p>Overloading the base calc_val_loss method. Method updates the
+temporal weights for the batch handler based on the losses across the
+time bins</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>batch_handler</strong> (<em>sup3r.preprocessing.BatchHandler</em>) – BatchHandler object to iterate through</p></li>
+<li><p><strong>weight_gen_advers</strong> (<em>float</em>) – Weight factor for the adversarial loss component of the generator
+vs. the discriminator.</p></li>
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components where each value is a
+running average at the current state in the epoch.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>dict</em> – Updated loss_details with mean validation loss calculated using
+the validation samples across the time bins</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.calc_loss">
+<span class="sig-name descname"><span class="pre">calc_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hi_res_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hi_res_gen</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weight_gen_advers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.001</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_gen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_disc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.calc_loss" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the GAN loss function using generated and true high
+resolution data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>hi_res_true</strong> (<em>tf.Tensor</em>) – Ground truth high resolution spatiotemporal data.</p></li>
+<li><p><strong>hi_res_gen</strong> (<em>tf.Tensor</em>) – Superresolved high resolution spatiotemporal data generated by the
+generative model.</p></li>
+<li><p><strong>weight_gen_advers</strong> (<em>float</em>) – Weight factor for the adversarial loss component of the generator
+vs. the discriminator.</p></li>
+<li><p><strong>train_gen</strong> (<em>bool</em>) – True if generator is being trained, then loss=loss_gen</p></li>
+<li><p><strong>train_disc</strong> (<em>bool</em>) – True if disc is being trained, then loss=loss_disc</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>loss</strong> (<em>tf.Tensor</em>) – 0D tensor representing the loss value for the network being trained
+(either generator or one of the discriminators)</p></li>
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.calc_loss_disc">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">calc_loss_disc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">disc_out_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">disc_out_gen</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.calc_loss_disc" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the loss term for the discriminator model (either the
+spatial or temporal discriminator).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>disc_out_true</strong> (<em>tf.Tensor</em>) – Raw discriminator outputs from the discriminator model predicting
+only on ground truth data hi_res_true (not on hi_res_gen).</p></li>
+<li><p><strong>disc_out_gen</strong> (<em>tf.Tensor</em>) – Raw discriminator outputs from the discriminator model predicting
+only on synthetic data hi_res_gen (not on hi_res_true).</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_disc</strong> (<em>tf.Tensor</em>) – 0D tensor discriminator model loss for either the spatial or
+temporal component of the super resolution generated output.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.calc_loss_gen_advers">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">calc_loss_gen_advers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">disc_out_gen</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.calc_loss_gen_advers" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the adversarial component of the loss term for the
+generator model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>disc_out_gen</strong> (<em>tf.Tensor</em>) – Raw discriminator outputs from the discriminator model
+predicting only on hi_res_gen (not on hi_res_true).</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_gen_advers</strong> (<em>tf.Tensor</em>) – 0D tensor generator model loss for the adversarial component of the
+generator loss term.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.calc_loss_gen_content">
+<span class="sig-name descname"><span class="pre">calc_loss_gen_content</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hi_res_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hi_res_gen</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.calc_loss_gen_content" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the content loss term for the generator model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>hi_res_true</strong> (<em>tf.Tensor</em>) – Ground truth high resolution spatiotemporal data.</p></li>
+<li><p><strong>hi_res_gen</strong> (<em>tf.Tensor</em>) – Superresolved high resolution spatiotemporal data generated by the
+generative model.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_gen_s</strong> (<em>tf.Tensor</em>) – 0D tensor generator model loss for the content loss comparing the
+hi res ground truth to the hi res synthetically generated output.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.check_batch_handler_attrs">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">check_batch_handler_attrs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_handler</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.check_batch_handler_attrs" title="Link to this definition">#</a></dt>
+<dd><p>Not all batch handlers have the following attributes. So we perform
+some sanitation before sending to <cite>set_model_params</cite></p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.dict_to_tensorboard">
+<span class="sig-name descname"><span class="pre">dict_to_tensorboard</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">entry</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.dict_to_tensorboard" title="Link to this definition">#</a></dt>
+<dd><p>Write data to tensorboard log file. This is usually a loss_details
+dictionary.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>entry</strong> (<em>dict</em>) – Dictionary of values to write to tensorboard log file</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.discriminate">
+<span class="sig-name descname"><span class="pre">discriminate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hi_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_in</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.discriminate" title="Link to this definition">#</a></dt>
+<dd><p>Run the discriminator model on a hi resolution input field.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>hi_res</strong> (<em>np.ndarray</em>) – Real or fake high res data in a 4D or 5D tensor:
+(n_obs, spatial_1, spatial_2, n_features)
+(n_obs, spatial_1, spatial_2, n_temporal, n_features)</p></li>
+<li><p><strong>norm_in</strong> (<em>bool</em>) – Flag to normalize low_res input data if the self._means,
+self._stdevs attributes are available. The disc should always
+received normalized data with mean=0 stdev=1.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>np.ndarray</em>) – Discriminator output logits</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.discriminator">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">discriminator</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.discriminator" title="Link to this definition">#</a></dt>
+<dd><p>Get the discriminator model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>phygnn.base.CustomNetwork</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.discriminator_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">discriminator_weights</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.discriminator_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of layer weights and bias terms for the discriminator
+model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>list</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.early_stop">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">early_stop</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">history</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.005</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.early_stop" title="Link to this definition">#</a></dt>
+<dd><p>Determine whether to stop training early based on nearly no change
+to validation loss for a certain number of consecutive epochs.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>history</strong> (<em>pd.DataFrame | None</em>) – Model training history</p></li>
+<li><p><strong>column</strong> (<em>str</em>) – Column from the model training history to evaluate for early
+termination.</p></li>
+<li><p><strong>threshold</strong> (<em>float</em>) – The absolute relative fractional difference in validation loss
+between subsequent epochs below which an early termination is
+warranted. E.g. if val losses were 0.1 and 0.0998 the relative
+diff would be calculated as 0.0002 / 0.1 = 0.002 which would be
+less than the default thresold of 0.01 and would satisfy the
+condition for early termination.</p></li>
+<li><p><strong>n_epoch</strong> (<em>int</em>) – The number of consecutive epochs that satisfy the threshold that
+warrants an early stop.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>stop</strong> (<em>bool</em>) – Flag to stop training (True) or keep going (False).</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.finish_epoch">
+<span class="sig-name descname"><span class="pre">finish_epoch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epochs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">loss_details</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint_int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_on</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_threshold</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_n_epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extras</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.finish_epoch" title="Link to this definition">#</a></dt>
+<dd><p>Perform finishing checks after an epoch is done training</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>epoch</strong> (<em>int</em>) – Epoch number that is finishing</p></li>
+<li><p><strong>epochs</strong> (<em>list</em>) – List of epochs being iterated through</p></li>
+<li><p><strong>t0</strong> (<em>float</em>) – Starting time of training.</p></li>
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p></li>
+<li><p><strong>checkpoint_int</strong> (<em>int | None</em>) – Epoch interval at which to save checkpoint models.</p></li>
+<li><p><strong>out_dir</strong> (<em>str</em>) – Directory to save checkpoint models. Should have {epoch} in
+the directory name. This directory will be created if it does not
+already exist.</p></li>
+<li><p><strong>early_stop_on</strong> (<em>str | None</em>) – If not None, this should be a column in the training history to
+evaluate for early stopping (e.g. validation_loss_gen,
+validation_loss_disc). If this value in this history decreases by
+an absolute fractional relative difference of less than 0.01 for
+more than 5 epochs in a row, the training will stop early.</p></li>
+<li><p><strong>early_stop_threshold</strong> (<em>float</em>) – The absolute relative fractional difference in validation loss
+between subsequent epochs below which an early termination is
+warranted. E.g. if val losses were 0.1 and 0.0998 the relative
+diff would be calculated as 0.0002 / 0.1 = 0.002 which would be
+less than the default thresold of 0.01 and would satisfy the
+condition for early termination.</p></li>
+<li><p><strong>early_stop_n_epoch</strong> (<em>int</em>) – The number of consecutive epochs that satisfy the threshold that
+warrants an early stop.</p></li>
+<li><p><strong>extras</strong> (<em>dict | None</em>) – Extra kwargs/parameters to save in the epoch history.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>stop</strong> (<em>bool</em>) – Flag to early stop training.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.generate">
+<span class="sig-name descname"><span class="pre">generate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_in</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">un_norm_out</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">exogenous_data</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.generate" title="Link to this definition">#</a></dt>
+<dd><p>Use the generator model to generate high res data from low res
+input. This is the public generate function.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low_res</strong> (<em>np.ndarray</em>) – Low-resolution input data, usually a 4D or 5D array of shape:
+(n_obs, spatial_1, spatial_2, n_features)
+(n_obs, spatial_1, spatial_2, n_temporal, n_features)</p></li>
+<li><p><strong>norm_in</strong> (<em>bool</em>) – Flag to normalize low_res input data if the self._means,
+self._stdevs attributes are available. The generator should always
+received normalized data with mean=0 stdev=1. This also normalizes
+hi_res_topo.</p></li>
+<li><p><strong>un_norm_out</strong> (<em>bool</em>) – Flag to un-normalize synthetically generated output data to physical
+units</p></li>
+<li><p><strong>exogenous_data</strong> (<em>dict | ExoData | None</em>) – Special dictionary (class:<cite>ExoData</cite>) of exogenous feature data with
+entries describing whether features should be combined at input, a
+mid network layer, or with output. This doesn’t have to include
+the ‘model’ key since this data is for a single step model.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>hi_res</strong> (<em>ndarray</em>) – Synthetically generated high-resolution data, usually a 4D or 5D
+array with shape:
+(n_obs, spatial_1, spatial_2, n_features)
+(n_obs, spatial_1, spatial_2, n_temporal, n_features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.generator">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">generator</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.generator" title="Link to this definition">#</a></dt>
+<dd><p>Get the generative model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>phygnn.base.CustomNetwork</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.generator_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">generator_weights</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.generator_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of layer weights and bias terms for the generator model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>list</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.get_high_res_exo_input">
+<span class="sig-name descname"><span class="pre">get_high_res_exo_input</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.get_high_res_exo_input" title="Link to this definition">#</a></dt>
+<dd><p>Get exogenous feature data from high_res</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>high_res</strong> (<em>tf.Tensor</em>) – Ground truth high resolution spatiotemporal data.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>exo_data</strong> (<em>dict</em>) – Dictionary of exogenous feature data used as input to tf_generate.
+e.g. <code class="docutils literal notranslate"><span class="pre">{'topography':</span> <span class="pre">tf.Tensor(...)}</span></code></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.get_loss_fun">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_loss_fun</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">loss</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.get_loss_fun" title="Link to this definition">#</a></dt>
+<dd><p>Get the initialized loss function class from the sup3r loss library
+or the tensorflow losses.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>loss</strong> (<em>str | dict</em>) – Loss function class name from sup3r.utilities.loss_metrics
+(prioritized) or tensorflow.keras.losses. Defaults to
+tf.keras.losses.MeanSquaredError. This can be provided as a dict
+with kwargs for loss functions with extra parameters.
+e.g. {‘SpatialExtremesLoss’: {‘weight’: 0.5}}</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>tf.keras.losses.Loss</em>) – Initialized loss function class that is callable, e.g. if
+“MeanSquaredError” is requested, this will return
+an instance of tf.keras.losses.MeanSquaredError()</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.get_optimizer_config">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_optimizer_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">optimizer</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.get_optimizer_config" title="Link to this definition">#</a></dt>
+<dd><p>Get a config that defines the current model optimizer</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer</em>) – TF-Keras optimizer object (e.g., Adam)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>config</strong> (<em>dict</em>) – Optimizer config</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.get_optimizer_state">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_optimizer_state</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">optimizer</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.get_optimizer_state" title="Link to this definition">#</a></dt>
+<dd><p>Get a set of state variables for the optimizer</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer</em>) – TF-Keras optimizer object (e.g., Adam)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>state</strong> (<em>dict</em>) – Optimizer state variables</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.get_s_enhance_from_layers">
+<span class="sig-name descname"><span class="pre">get_s_enhance_from_layers</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.get_s_enhance_from_layers" title="Link to this definition">#</a></dt>
+<dd><p>Compute factor by which model will enhance spatial resolution from
+layer attributes. Used in model training during high res coarsening</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.get_single_grad">
+<span class="sig-name descname"><span class="pre">get_single_grad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hi_res_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_weights</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">calc_loss_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.get_single_grad" title="Link to this definition">#</a></dt>
+<dd><p>Run gradient descent for one mini-batch of (low_res, hi_res_true),
+do not update weights, just return gradient details.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low_res</strong> (<em>np.ndarray</em>) – Real low-resolution data in a 4D or 5D array:
+(n_observations, spatial_1, spatial_2, features)
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>hi_res_true</strong> (<em>np.ndarray</em>) – Real high-resolution data in a 4D or 5D array:
+(n_observations, spatial_1, spatial_2, features)
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>training_weights</strong> (<em>list</em>) – A list of layer weights that are to-be-trained based on the
+current loss weight values.</p></li>
+<li><p><strong>device_name</strong> (<em>None | str</em>) – Optional tensorflow device name for GPU placement. Note that if a
+GPU is available, variables will be placed on that GPU even if
+device_name=None.</p></li>
+<li><p><strong>calc_loss_kwargs</strong> (<em>dict</em>) – Kwargs to pass to the self.calc_loss() method</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>grad</strong> (<em>list</em>) – a list or nested structure of Tensors (or IndexedSlices, or None,
+or CompositeTensor) representing the gradients for the
+training_weights</p></li>
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.get_t_enhance_from_layers">
+<span class="sig-name descname"><span class="pre">get_t_enhance_from_layers</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.get_t_enhance_from_layers" title="Link to this definition">#</a></dt>
+<dd><p>Compute factor by which model will enhance temporal resolution from
+layer attributes. Used in model training during high res coarsening</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.get_weight_update_fraction">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_weight_update_fraction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">history</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">comparison_key</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">update_bounds</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(0.5,</span> <span class="pre">0.95)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">update_frac</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.get_weight_update_fraction" title="Link to this definition">#</a></dt>
+<dd><p>Get the factor by which to multiply previous adversarial loss
+weight</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>history</strong> (<em>dict</em>) – Dictionary with information on how often discriminators
+were trained during previous epoch.</p></li>
+<li><p><strong>comparison_key</strong> (<em>str</em>) – history key to use for update check</p></li>
+<li><p><strong>update_bounds</strong> (<em>tuple</em>) – Tuple specifying allowed range for history[comparison_key]. If
+history[comparison_key] &lt; update_bounds[0] then the weight will be
+increased by (1 + update_frac). If history[comparison_key] &gt;
+update_bounds[1] then the weight will be decreased by 1 / (1 +
+update_frac).</p></li>
+<li><p><strong>update_frac</strong> (<em>float</em>) – Fraction by which to increase/decrease adversarial loss weight</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>float</em> – Factor by which to multiply old weight to get updated weight</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.history">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">history</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.history" title="Link to this definition">#</a></dt>
+<dd><p>Model training history DataFrame (None if not yet trained)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>pandas.DataFrame | None</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.hr_exo_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_exo_features</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.hr_exo_features" title="Link to this definition">#</a></dt>
+<dd><p>Get list of high-resolution exogenous filter names the model uses.
+If the model has N concat or add layers this list will be the last N
+features in the training features list. The ordering is assumed to be
+the same as the order of concat or add layers. If training features is
+[…, topo, sza], and the model has 2 concat or add layers, exo
+features will be [topo, sza]. Topo will then be used in the first
+concat layer and sza will be used in the second</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.hr_out_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_out_features</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.hr_out_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the list of high-resolution output feature names that the
+generative model outputs.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.init_optimizer">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">init_optimizer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">optimizer</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.init_optimizer" title="Link to this definition">#</a></dt>
+<dd><p>Initialize keras optimizer object.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer | dict | None | str</em>) – Instantiated tf.keras.optimizers object or a dict optimizer config
+from tf.keras.optimizers.get_config(). None defaults to Adam.</p></li>
+<li><p><strong>learning_rate</strong> (<em>float, optional</em>) – Optimizer learning rate. Not used if optimizer input arg is a
+pre-initialized object or if optimizer input arg is a config dict.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer</em>) – Initialized optimizer object.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.init_weights">
+<span class="sig-name descname"><span class="pre">init_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lr_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hr_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.init_weights" title="Link to this definition">#</a></dt>
+<dd><p>Initialize the generator and discriminator weights with device
+placement.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>lr_shape</strong> (<em>tuple</em>) – Shape of one batch of low res input data for sup3r resolution. Note
+that the batch size (axis=0) must be included, but the actual batch
+size doesnt really matter.</p></li>
+<li><p><strong>hr_shape</strong> (<em>tuple</em>) – Shape of one batch of high res input data for sup3r resolution.
+Note that the batch size (axis=0) must be included, but the actual
+batch size doesnt really matter.</p></li>
+<li><p><strong>device</strong> (<em>str | None</em>) – Option to place model weights on a device. If None,
+self.default_device will be used.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.input_dims">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">input_dims</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.input_dims" title="Link to this definition">#</a></dt>
+<dd><p>Get dimension of model generator input. This is usually 4D for
+spatial models and 5D for spatiotemporal models. This gives the input
+to the first step if the model is multi-step. Returns 5 for linear
+models.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>int</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.input_resolution">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">input_resolution</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.input_resolution" title="Link to this definition">#</a></dt>
+<dd><p>Resolution of input data. Given as a dictionary
+<code class="docutils literal notranslate"><span class="pre">{'spatial':</span> <span class="pre">'...km',</span> <span class="pre">'temporal':</span> <span class="pre">'...min'}</span></code>. The numbers are
+required to be integers in the units specified. The units are not
+strict as long as the resolution of the exogenous data, when extracting
+exogenous data, is specified in the same units.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.is_4d">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_4d</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.is_4d" title="Link to this definition">#</a></dt>
+<dd><p>Check if model expects spatial only input</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.is_5d">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_5d</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.is_5d" title="Link to this definition">#</a></dt>
+<dd><p>Check if model expects spatiotemporal input</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.load">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_dir</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.load" title="Link to this definition">#</a></dt>
+<dd><p>Load the GAN with its sub-networks from a previously saved-to output
+directory.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>model_dir</strong> (<em>str</em>) – Directory to load GAN model files from.</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to log information about the loaded model.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>BaseModel</em>) – Returns a pretrained gan model that was previously saved to out_dir</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.load_network">
+<span class="sig-name descname"><span class="pre">load_network</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.load_network" title="Link to this definition">#</a></dt>
+<dd><p>Load a CustomNetwork object from hidden layers config, .json file
+config, or .pkl file saved pre-trained model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>model</strong> (<em>str | dict</em>) – Model hidden layers config, a .json with “hidden_layers” key, or a
+.pkl for a saved pre-trained model.</p></li>
+<li><p><strong>name</strong> (<em>str</em>) – Name of the model to be loaded</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>model</strong> (<em>phygnn.CustomNetwork</em>) – CustomNetwork object initialized from the model input.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.load_saved_params">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">load_saved_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.load_saved_params" title="Link to this definition">#</a></dt>
+<dd><p>Load saved model_params (you need this and the gen+disc models
+to load a full model).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>out_dir</strong> (<em>str</em>) – Directory to load model files from.</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to log information about the loaded model.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>params</strong> (<em>dict</em>) – Model parameters loaded from disk json file. This should be the
+same as self.model_params with and additional ‘history’ entry.
+Should be all the kwargs you need to init a model.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.log_loss_details">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">log_loss_details</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">loss_details</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">level</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'INFO'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.log_loss_details" title="Link to this definition">#</a></dt>
+<dd><p>Log the loss details to the module logger.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components where each value is a
+running average at the current state in the epoch.</p></li>
+<li><p><strong>level</strong> (<em>str</em>) – Log level (e.g. INFO, DEBUG)</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.lr_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_features</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.lr_features" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of low-resolution features input to the generative model.
+This includes low-resolution features that might be supplied
+exogenously at inference time but that were in the low-res batches
+during training</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.means">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">means</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.means" title="Link to this definition">#</a></dt>
+<dd><p>Get the data normalization mean values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>np.ndarray</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.meta">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">meta</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.meta" title="Link to this definition">#</a></dt>
+<dd><p>Get meta data dictionary that defines how the model was created</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.model_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">model_params</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.model_params" title="Link to this definition">#</a></dt>
+<dd><p>Model parameters, used to save model to disc</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>dict</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.norm_input">
+<span class="sig-name descname"><span class="pre">norm_input</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.norm_input" title="Link to this definition">#</a></dt>
+<dd><p>Normalize low resolution data being input to the generator.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>low_res</strong> (<em>np.ndarray</em>) – Un-normalized low-resolution input data in physical units, usually
+a 4D or 5D array of shape:
+(n_obs, spatial_1, spatial_2, n_features)
+(n_obs, spatial_1, spatial_2, n_temporal, n_features)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>low_res</strong> (<em>np.ndarray</em>) – Normalized low-resolution input data, usually a 4D or 5D array of
+shape:
+(n_obs, spatial_1, spatial_2, n_features)
+(n_obs, spatial_1, spatial_2, n_temporal, n_features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.optimizer">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">optimizer</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.optimizer" title="Link to this definition">#</a></dt>
+<dd><p>Get the tensorflow optimizer to perform gradient descent
+calculations for the generative network. This is functionally identical
+to optimizer_disc is no special optimizer model or learning rate was
+specified for the disc.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>tf.keras.optimizers.Optimizer</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.optimizer_disc">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">optimizer_disc</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.optimizer_disc" title="Link to this definition">#</a></dt>
+<dd><p>Get the tensorflow optimizer to perform gradient descent
+calculations for the discriminator network.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>tf.keras.optimizers.Optimizer</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.output_resolution">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_resolution</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.output_resolution" title="Link to this definition">#</a></dt>
+<dd><p>Resolution of output data. Given as a dictionary
+{‘spatial’: ‘…km’, ‘temporal’: ‘…min’}. This is computed from the
+input resolution and the enhancement factors.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.profile_to_tensorboard">
+<span class="sig-name descname"><span class="pre">profile_to_tensorboard</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.profile_to_tensorboard" title="Link to this definition">#</a></dt>
+<dd><p>Write profile data to tensorboard log file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>name</strong> (<em>str</em>) – Tag name to use for profile info</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.run_gradient_descent">
+<span class="sig-name descname"><span class="pre">run_gradient_descent</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hi_res_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_weights</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optimizer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">multi_gpu</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">calc_loss_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.run_gradient_descent" title="Link to this definition">#</a></dt>
+<dd><p>Run gradient descent for one mini-batch of (low_res, hi_res_true)
+and update weights</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low_res</strong> (<em>np.ndarray</em>) – Real low-resolution data in a 4D or 5D array:
+(n_observations, spatial_1, spatial_2, features)
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>hi_res_true</strong> (<em>np.ndarray</em>) – Real high-resolution data in a 4D or 5D array:
+(n_observations, spatial_1, spatial_2, features)
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>training_weights</strong> (<em>list</em>) – A list of layer weights that are to-be-trained based on the
+current loss weight values.</p></li>
+<li><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer</em>) – Optimizer class to use to update weights. This can be different if
+you’re training just the generator or one of the discriminator
+models. Defaults to the generator optimizer.</p></li>
+<li><p><strong>multi_gpu</strong> (<em>bool</em>) – Flag to break up the batch for parallel gradient descent
+calculations on multiple gpus. If True and multiple GPUs are
+present, each batch from the batch_handler will be divided up
+between the GPUs and the resulting gradient from each GPU will
+constitute a single gradient descent step with the nominal learning
+rate that the model was initialized with.</p></li>
+<li><p><strong>calc_loss_kwargs</strong> (<em>dict</em>) – Kwargs to pass to the self.calc_loss() method</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.s_enhance">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_enhance</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.s_enhance" title="Link to this definition">#</a></dt>
+<dd><p>Factor by which model will enhance spatial resolution. Used in
+model training during high res coarsening and also in forward pass
+routine to determine shape of needed exogenous data</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.s_enhancements">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_enhancements</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.s_enhancements" title="Link to this definition">#</a></dt>
+<dd><p>List of spatial enhancement factors. In the case of a single step
+model this is just <code class="docutils literal notranslate"><span class="pre">[self.s_enhance]</span></code>. This is used to determine
+shapes of needed exogenous data in forward pass routine</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.save">
+<span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.save" title="Link to this definition">#</a></dt>
+<dd><p>Save the GAN with its sub-networks to a directory.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>out_dir</strong> (<em>str</em>) – Directory to save GAN model files. This directory will be created
+if it does not already exist.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.save_params">
+<span class="sig-name descname"><span class="pre">save_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.save_params" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>out_dir</strong> (<em>str</em>) – Directory to save linear model params. This directory will be
+created if it does not already exist.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.seed">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">seed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.seed" title="Link to this definition">#</a></dt>
+<dd><p>Set the random seed for reproducible results.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>s</strong> (<em>int</em>) – Random seed</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.set_model_params">
+<span class="sig-name descname"><span class="pre">set_model_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.set_model_params" title="Link to this definition">#</a></dt>
+<dd><p>Set parameters used for training the model</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>kwargs</strong> (<em>dict</em>) – Keyword arguments including ‘input_resolution’,
+‘lr_features’, ‘hr_exo_features’, ‘hr_out_features’,
+‘smoothed_features’, ‘s_enhance’, ‘t_enhance’, ‘smoothing’</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.set_norm_stats">
+<span class="sig-name descname"><span class="pre">set_norm_stats</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">new_means</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_stdevs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.set_norm_stats" title="Link to this definition">#</a></dt>
+<dd><p>Set the normalization statistics associated with a data batch
+handler to model attributes.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>new_means</strong> (<em>dict | None</em>) – Set of mean values for data normalization keyed by feature name.
+Can be used to maintain a consistent normalization scheme between
+transfer learning domains.</p></li>
+<li><p><strong>new_stdevs</strong> (<em>dict | None</em>) – Set of stdev values for data normalization keyed by feature name.
+Can be used to maintain a consistent normalization scheme between
+transfer learning domains.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.smoothed_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">smoothed_features</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.smoothed_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the list of smoothed input feature names that the generative
+model was trained on.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.smoothing">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">smoothing</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.smoothing" title="Link to this definition">#</a></dt>
+<dd><p>Value of smoothing parameter used in gaussian filtering of coarsened
+high res data.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.stdevs">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">stdevs</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.stdevs" title="Link to this definition">#</a></dt>
+<dd><p>Get the data normalization standard deviation values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>np.ndarray</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.t_enhance">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">t_enhance</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.t_enhance" title="Link to this definition">#</a></dt>
+<dd><p>Factor by which model will enhance temporal resolution. Used in
+model training during high res coarsening and also in forward pass
+routine to determine shape of needed exogenous data</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.t_enhancements">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">t_enhancements</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.t_enhancements" title="Link to this definition">#</a></dt>
+<dd><p>List of temporal enhancement factors. In the case of a single step
+model this is just <code class="docutils literal notranslate"><span class="pre">[self.t_enhance]</span></code>. This is used to determine
+shapes of needed exogenous data in forward pass routine</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.total_batches">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">total_batches</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.total_batches" title="Link to this definition">#</a></dt>
+<dd><p>Record of total number of batches for logging.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.train">
+<span class="sig-name descname"><span class="pre">train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_resolution</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weight_gen_advers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.001</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_gen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_disc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">disc_loss_bounds</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(0.45,</span> <span class="pre">0.6)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint_int</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'./gan_{epoch}'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_on</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.005</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_n_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adaptive_update_bounds</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(0.9,</span> <span class="pre">0.99)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adaptive_update_fraction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">multi_gpu</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensorboard_log</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensorboard_profile</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.train" title="Link to this definition">#</a></dt>
+<dd><p>Train the GAN model on real low res data and real high res data</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>batch_handler</strong> (<em>sup3r.preprocessing.BatchHandler</em>) – BatchHandler object to iterate through</p></li>
+<li><p><strong>input_resolution</strong> (<em>dict</em>) – Dictionary specifying spatiotemporal input resolution. e.g.
+{‘temporal’: ‘60min’, ‘spatial’: ‘30km’}</p></li>
+<li><p><strong>n_epoch</strong> (<em>int</em>) – Number of epochs to train on</p></li>
+<li><p><strong>weight_gen_advers</strong> (<em>float</em>) – Weight factor for the adversarial loss component of the generator
+vs. the discriminator.</p></li>
+<li><p><strong>train_gen</strong> (<em>bool</em>) – Flag whether to train the generator for this set of epochs</p></li>
+<li><p><strong>train_disc</strong> (<em>bool</em>) – Flag whether to train the discriminator for this set of epochs</p></li>
+<li><p><strong>disc_loss_bounds</strong> (<em>tuple</em>) – Lower and upper bounds for the discriminator loss outside of which
+the discriminator will not train unless train_disc=True and
+train_gen=False.</p></li>
+<li><p><strong>checkpoint_int</strong> (<em>int | None</em>) – Epoch interval at which to save checkpoint models.</p></li>
+<li><p><strong>out_dir</strong> (<em>str</em>) – Directory to save checkpoint GAN models. Should have {epoch} in
+the directory name. This directory will be created if it does not
+already exist.</p></li>
+<li><p><strong>early_stop_on</strong> (<em>str | None</em>) – If not None, this should be a column in the training history to
+evaluate for early stopping (e.g. validation_loss_gen,
+validation_loss_disc). If this value in this history decreases by
+an absolute fractional relative difference of less than 0.01 for
+more than 5 epochs in a row, the training will stop early.</p></li>
+<li><p><strong>early_stop_threshold</strong> (<em>float</em>) – The absolute relative fractional difference in validation loss
+between subsequent epochs below which an early termination is
+warranted. E.g. if val losses were 0.1 and 0.0998 the relative
+diff would be calculated as 0.0002 / 0.1 = 0.002 which would be
+less than the default thresold of 0.01 and would satisfy the
+condition for early termination.</p></li>
+<li><p><strong>early_stop_n_epoch</strong> (<em>int</em>) – The number of consecutive epochs that satisfy the threshold that
+warrants an early stop.</p></li>
+<li><p><strong>adaptive_update_bounds</strong> (<em>tuple</em>) – Tuple specifying allowed range for loss_details[comparison_key]. If
+history[comparison_key] &lt; threshold_range[0] then the weight will
+be increased by (1 + update_frac). If history[comparison_key] &gt;
+threshold_range[1] then the weight will be decreased by 1 / (1 +
+update_frac).</p></li>
+<li><p><strong>adaptive_update_fraction</strong> (<em>float</em>) – Amount by which to increase or decrease adversarial weights for
+adaptive updates</p></li>
+<li><p><strong>multi_gpu</strong> (<em>bool</em>) – Flag to break up the batch for parallel gradient descent
+calculations on multiple gpus. If True and multiple GPUs are
+present, each batch from the batch_handler will be divided up
+between the GPUs and the resulting gradient from each GPU will
+constitute a single gradient descent step with the nominal learning
+rate that the model was initialized with. If true and multiple gpus
+are found, default_device device should be set to /cpu:0</p></li>
+<li><p><strong>tensorboard_log</strong> (<em>bool</em>) – Whether to write log file for use with tensorboard. Log data can
+be viewed with <code class="docutils literal notranslate"><span class="pre">tensorboard</span> <span class="pre">--logdir</span> <span class="pre">&lt;logdir&gt;</span></code> where <code class="docutils literal notranslate"><span class="pre">&lt;logdir&gt;</span></code>
+is the parent directory of <code class="docutils literal notranslate"><span class="pre">out_dir</span></code>, and pointing the browser to
+the printed address.</p></li>
+<li><p><strong>tensorboard_profile</strong> (<em>bool</em>) – Whether to export profiling information to tensorboard. This can
+then be viewed in the tensorboard dashboard under the profile tab</p></li>
+<li><p><strong>TODO</strong> (<em>(1) args here are getting excessive. Might be time for some</em>)</p></li>
+<li><p><strong>refactoring.</strong></p></li>
+<li><p><strong>(2) cal_val_loss should be done in a separate thread from train_epoch</strong></p></li>
+<li><p><strong>so they can be done concurrently. This would be especially important</strong></p></li>
+<li><p><strong>for batch handlers which require val data, like dc handlers.</strong></p></li>
+<li><p><strong>(3) Would like an automatic way to exit the batch handler thread</strong></p></li>
+<li><p><strong>instead of manually calling .stop() here.</strong></p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.train_epoch">
+<span class="sig-name descname"><span class="pre">train_epoch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weight_gen_advers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_gen</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_disc</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">disc_loss_bounds</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">multi_gpu</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.train_epoch" title="Link to this definition">#</a></dt>
+<dd><p>Train the GAN for one epoch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>batch_handler</strong> (<em>sup3r.preprocessing.BatchHandler</em>) – BatchHandler object to iterate through</p></li>
+<li><p><strong>weight_gen_advers</strong> (<em>float</em>) – Weight factor for the adversarial loss component of the generator
+vs. the discriminator.</p></li>
+<li><p><strong>train_gen</strong> (<em>bool</em>) – Flag whether to train the generator for this set of epochs</p></li>
+<li><p><strong>train_disc</strong> (<em>bool</em>) – Flag whether to train the discriminator for this set of epochs</p></li>
+<li><p><strong>disc_loss_bounds</strong> (<em>tuple</em>) – Lower and upper bounds for the discriminator loss outside of which
+the discriminators will not train unless train_disc=True or
+and train_gen=False.</p></li>
+<li><p><strong>multi_gpu</strong> (<em>bool</em>) – Flag to break up the batch for parallel gradient descent
+calculations on multiple gpus. If True and multiple GPUs are
+present, each batch from the batch_handler will be divided up
+between the GPUs and the resulting gradient from each GPU will
+constitute a single gradient descent step with the nominal learning
+rate that the model was initialized with. If true and multiple gpus
+are found, default_device device should be set to /cpu:0</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.un_norm_output">
+<span class="sig-name descname"><span class="pre">un_norm_output</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">output</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.un_norm_output" title="Link to this definition">#</a></dt>
+<dd><p>Un-normalize synthetically generated output data to physical units</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>output</strong> (<em>tf.Tensor | np.ndarray</em>) – Synthetically generated high-resolution data</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>output</strong> (<em>np.ndarray</em>) – Synthetically generated high-resolution data</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.update_adversarial_weights">
+<span class="sig-name descname"><span class="pre">update_adversarial_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">history</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adaptive_update_fraction</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adaptive_update_bounds</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weight_gen_advers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_disc</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.update_adversarial_weights" title="Link to this definition">#</a></dt>
+<dd><p>Update spatial / temporal adversarial loss weights based on training
+fraction history.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>history</strong> (<em>dict</em>) – Dictionary with information on how often discriminators
+were trained during current and previous epochs.</p></li>
+<li><p><strong>adaptive_update_fraction</strong> (<em>float</em>) – Amount by which to increase or decrease adversarial loss weights
+for adaptive updates</p></li>
+<li><p><strong>adaptive_update_bounds</strong> (<em>tuple</em>) – Tuple specifying allowed range for history[comparison_key]. If
+history[comparison_key] &lt; update_bounds[0] then the weight will be
+increased by (1 + update_frac). If history[comparison_key] &gt;
+update_bounds[1] then the weight will be decreased by 1 / (1 +
+update_frac).</p></li>
+<li><p><strong>weight_gen_advers</strong> (<em>float</em>) – Weight factor for the adversarial loss component of the generator
+vs. the discriminator.</p></li>
+<li><p><strong>train_disc</strong> (<em>bool</em>) – Whether the discriminator was set to be trained during the
+previous epoch</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>weight_gen_advers</strong> (<em>float</em>) – Updated weight factor for the adversarial loss component of the
+generator vs. the discriminator.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.update_loss_details">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">update_loss_details</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">loss_details</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_len</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prefix</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.update_loss_details" title="Link to this definition">#</a></dt>
+<dd><p>Update a dictionary of loss_details with loss information from a new
+batch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components where each value is a
+running average at the current state in the epoch.</p></li>
+<li><p><strong>new_data</strong> (<em>dict</em>) – Namespace of the breakdown of loss components for a single new
+batch.</p></li>
+<li><p><strong>batch_len</strong> (<em>int</em>) – Length of the incoming batch.</p></li>
+<li><p><strong>prefix</strong> (<em>None | str</em>) – Option to prefix the names of the loss data when saving to the
+loss_details dictionary.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_details</strong> (<em>dict</em>) – Same as input loss_details but with running averages updated.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.update_optimizer">
+<span class="sig-name descname"><span class="pre">update_optimizer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">option</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'generator'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.update_optimizer" title="Link to this definition">#</a></dt>
+<dd><p>Update optimizer by changing current configuration</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>option</strong> (<em>str</em>) – Which optimizer to update. Can be “generator”, “discriminator”, or
+“all”</p></li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – kwargs to use for optimizer configuration update</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.version_record">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">version_record</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.version_record" title="Link to this definition">#</a></dt>
+<dd><p>A record of important versions that this model was built with.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>dict</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.dc.Sup3rGanDC.weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">weights</span></span><a class="headerlink" href="#sup3r.models.dc.Sup3rGanDC.weights" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of all the layer weights and bias terms for the
+generator and discriminator networks</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.calc_val_loss_gen"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.calc_val_loss_gen()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.calc_val_loss_gen_content"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.calc_val_loss_gen_content()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.calc_val_loss"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.calc_val_loss()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.calc_loss"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.calc_loss()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.calc_loss_disc"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.calc_loss_disc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.calc_loss_gen_advers"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.calc_loss_gen_advers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.calc_loss_gen_content"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.calc_loss_gen_content()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.check_batch_handler_attrs"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.check_batch_handler_attrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.dict_to_tensorboard"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.dict_to_tensorboard()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.discriminate"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.discriminate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.discriminator"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.discriminator</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.discriminator_weights"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.discriminator_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.early_stop"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.early_stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.finish_epoch"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.finish_epoch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.generate"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.generate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.generator"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.generator</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.generator_weights"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.generator_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.get_high_res_exo_input"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.get_high_res_exo_input()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.get_loss_fun"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.get_loss_fun()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.get_optimizer_config"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.get_optimizer_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.get_optimizer_state"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.get_optimizer_state()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.get_s_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.get_s_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.get_single_grad"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.get_single_grad()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.get_t_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.get_t_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.get_weight_update_fraction"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.get_weight_update_fraction()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.history"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.history</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.hr_out_features"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.init_optimizer"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.init_optimizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.init_weights"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.init_weights()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.input_dims"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.input_dims</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.input_resolution"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.input_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.is_4d"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.is_4d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.is_5d"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.is_5d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.load"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.load_network"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.load_network()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.load_saved_params"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.load_saved_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.log_loss_details"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.log_loss_details()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.lr_features"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.lr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.means"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.means</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.meta"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.model_params"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.model_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.norm_input"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.norm_input()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.optimizer"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.optimizer</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.optimizer_disc"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.optimizer_disc</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.output_resolution"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.output_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.profile_to_tensorboard"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.profile_to_tensorboard()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.run_gradient_descent"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.run_gradient_descent()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.s_enhance"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.s_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.s_enhancements"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.s_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.save"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.save()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.save_params"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.save_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.seed"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.seed()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.set_model_params"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.set_model_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.set_norm_stats"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.set_norm_stats()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.smoothed_features"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.smoothed_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.smoothing"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.smoothing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.stdevs"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.stdevs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.t_enhance"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.t_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.t_enhancements"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.t_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.total_batches"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.total_batches</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.train"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.train()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.train_epoch"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.train_epoch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.un_norm_output"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.un_norm_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.update_adversarial_weights"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.update_adversarial_weights()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.update_loss_details"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.update_loss_details()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.update_optimizer"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.update_optimizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.version_record"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.version_record</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.dc.Sup3rGanDC.weights"><code class="docutils literal notranslate"><span class="pre">Sup3rGanDC.weights</span></code></a></li>
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+<span id="sup3r-models-dc"></span><h1>sup3r.models.dc<a class="headerlink" href="#module-sup3r.models.dc" title="Link to this heading">#</a></h1>
+<p>Sup3r data-centric model software</p>
+<p class="rubric">Classes</p>
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+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC" title="sup3r.models.dc.Sup3rGanDC"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Sup3rGanDC</span></code></a>(gen_layers, disc_layers[, loss, ...])</p></td>
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+  <section id="module-sup3r.models">
+<span id="sup3r-models"></span><h1>sup3r.models<a class="headerlink" href="#module-sup3r.models" title="Link to this heading">#</a></h1>
+<p>Sup3r Model Software</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.models.abstract.html#module-sup3r.models.abstract" title="sup3r.models.abstract"><code class="xref py py-obj docutils literal notranslate"><span class="pre">abstract</span></code></a></p></td>
+<td><p>Abstract class defining the required interface for Sup3r model subclasses</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.models.base.html#module-sup3r.models.base" title="sup3r.models.base"><code class="xref py py-obj docutils literal notranslate"><span class="pre">base</span></code></a></p></td>
+<td><p>Sup3r model software</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.models.conditional.html#module-sup3r.models.conditional" title="sup3r.models.conditional"><code class="xref py py-obj docutils literal notranslate"><span class="pre">conditional</span></code></a></p></td>
+<td><p>Sup3r conditional moment model software</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.models.dc.html#module-sup3r.models.dc" title="sup3r.models.dc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dc</span></code></a></p></td>
+<td><p>Sup3r data-centric model software</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.models.linear.html#module-sup3r.models.linear" title="sup3r.models.linear"><code class="xref py py-obj docutils literal notranslate"><span class="pre">linear</span></code></a></p></td>
+<td><p>Simple models for super resolution such as linear interp models.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.models.multi_step.html#module-sup3r.models.multi_step" title="sup3r.models.multi_step"><code class="xref py py-obj docutils literal notranslate"><span class="pre">multi_step</span></code></a></p></td>
+<td><p>Sup3r multi step model frameworks</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.models.solar_cc.html#module-sup3r.models.solar_cc" title="sup3r.models.solar_cc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">solar_cc</span></code></a></p></td>
+<td><p>Sup3r model software</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.models.surface.html#module-sup3r.models.surface" title="sup3r.models.surface"><code class="xref py py-obj docutils literal notranslate"><span class="pre">surface</span></code></a></p></td>
+<td><p>Special models for surface meteorological data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.models.utilities.html#module-sup3r.models.utilities" title="sup3r.models.utilities"><code class="xref py py-obj docutils literal notranslate"><span class="pre">utilities</span></code></a></p></td>
+<td><p>Utilities shared across the <cite>sup3r.models</cite> module</p></td>
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+    <h1>sup3r.models.linear.LinearInterp</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
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+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp"><code class="docutils literal notranslate"><span class="pre">LinearInterp</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.load"><code class="docutils literal notranslate"><span class="pre">LinearInterp.load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.meta"><code class="docutils literal notranslate"><span class="pre">LinearInterp.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.lr_features"><code class="docutils literal notranslate"><span class="pre">LinearInterp.lr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.hr_out_features"><code class="docutils literal notranslate"><span class="pre">LinearInterp.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">LinearInterp.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.save"><code class="docutils literal notranslate"><span class="pre">LinearInterp.save()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.generate"><code class="docutils literal notranslate"><span class="pre">LinearInterp.generate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.get_s_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">LinearInterp.get_s_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.get_t_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">LinearInterp.get_t_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.input_dims"><code class="docutils literal notranslate"><span class="pre">LinearInterp.input_dims</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.input_resolution"><code class="docutils literal notranslate"><span class="pre">LinearInterp.input_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.is_4d"><code class="docutils literal notranslate"><span class="pre">LinearInterp.is_4d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.is_5d"><code class="docutils literal notranslate"><span class="pre">LinearInterp.is_5d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.model_params"><code class="docutils literal notranslate"><span class="pre">LinearInterp.model_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.output_resolution"><code class="docutils literal notranslate"><span class="pre">LinearInterp.output_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.s_enhance"><code class="docutils literal notranslate"><span class="pre">LinearInterp.s_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.s_enhancements"><code class="docutils literal notranslate"><span class="pre">LinearInterp.s_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.save_params"><code class="docutils literal notranslate"><span class="pre">LinearInterp.save_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.seed"><code class="docutils literal notranslate"><span class="pre">LinearInterp.seed()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.set_model_params"><code class="docutils literal notranslate"><span class="pre">LinearInterp.set_model_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.smoothed_features"><code class="docutils literal notranslate"><span class="pre">LinearInterp.smoothed_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.smoothing"><code class="docutils literal notranslate"><span class="pre">LinearInterp.smoothing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.t_enhance"><code class="docutils literal notranslate"><span class="pre">LinearInterp.t_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.t_enhancements"><code class="docutils literal notranslate"><span class="pre">LinearInterp.t_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.version_record"><code class="docutils literal notranslate"><span class="pre">LinearInterp.version_record</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-models-linear-linearinterp">
+<h1>sup3r.models.linear.LinearInterp<a class="headerlink" href="#sup3r-models-linear-linearinterp" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">LinearInterp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lr_features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_centered</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_resolution</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/linear.html#LinearInterp"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.linear.LinearInterp" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface" title="sup3r.models.abstract.AbstractInterface"><code class="xref py py-class docutils literal notranslate"><span class="pre">AbstractInterface</span></code></a></p>
+<p>Simple model to do linear interpolation on the spatial and temporal axes</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>lr_features</strong> (<em>list</em>) – List of feature names that this model will operate on for both
+input and output. This must match the feature axis ordering in the
+array input to generate().</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes is to be enhanced.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Integer factor by which the temporal axes is to be enhanced.</p></li>
+<li><p><strong>t_centered</strong> (<em>bool</em>) – Flag to switch time axis from time-beginning (Default, e.g.
+interpolate 00:00 01:00 to 00:00 00:30 01:00 01:30) to
+time-centered (e.g. interp 01:00 02:00 to 00:45 01:15 01:45 02:15)</p></li>
+<li><p><strong>input_resolution</strong> (<em>dict | None</em>) – Resolution of the input data. e.g. {‘spatial’: ‘30km’, ‘temporal’:
+‘60min’}. This is used to determine how to aggregate
+high-resolution topography data.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.generate" title="sup3r.models.linear.LinearInterp.generate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">generate</span></code></a>(low_res[, norm_in, un_norm_out, ...])</p></td>
+<td><p>Use the generator model to generate high res data from low res input.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.get_s_enhance_from_layers" title="sup3r.models.linear.LinearInterp.get_s_enhance_from_layers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_s_enhance_from_layers</span></code></a>()</p></td>
+<td><p>Compute factor by which model will enhance spatial resolution from layer attributes.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.get_t_enhance_from_layers" title="sup3r.models.linear.LinearInterp.get_t_enhance_from_layers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_t_enhance_from_layers</span></code></a>()</p></td>
+<td><p>Compute factor by which model will enhance temporal resolution from layer attributes.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.load" title="sup3r.models.linear.LinearInterp.load"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load</span></code></a>(model_dir[, verbose])</p></td>
+<td><p>Load the LinearInterp model with its params saved to the model_dir created with LinearInterp.save(model_dir)</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.save" title="sup3r.models.linear.LinearInterp.save"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save</span></code></a>(out_dir)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.save_params" title="sup3r.models.linear.LinearInterp.save_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save_params</span></code></a>(out_dir)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.seed" title="sup3r.models.linear.LinearInterp.seed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">seed</span></code></a>([s])</p></td>
+<td><p>Set the random seed for reproducible results.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.set_model_params" title="sup3r.models.linear.LinearInterp.set_model_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_model_params</span></code></a>(**kwargs)</p></td>
+<td><p>Set parameters used for training the model</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.hr_exo_features" title="sup3r.models.linear.LinearInterp.hr_exo_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_exo_features</span></code></a></p></td>
+<td><p>Returns an empty list for LinearInterp model</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.hr_out_features" title="sup3r.models.linear.LinearInterp.hr_out_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_out_features</span></code></a></p></td>
+<td><p>Get the list of output feature names that the generative model outputs</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.input_dims" title="sup3r.models.linear.LinearInterp.input_dims"><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_dims</span></code></a></p></td>
+<td><p>Get dimension of model generator input.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.input_resolution" title="sup3r.models.linear.LinearInterp.input_resolution"><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_resolution</span></code></a></p></td>
+<td><p>Resolution of input data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.is_4d" title="sup3r.models.linear.LinearInterp.is_4d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_4d</span></code></a></p></td>
+<td><p>Check if model expects spatial only input</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.is_5d" title="sup3r.models.linear.LinearInterp.is_5d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_5d</span></code></a></p></td>
+<td><p>Check if model expects spatiotemporal input</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.lr_features" title="sup3r.models.linear.LinearInterp.lr_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_features</span></code></a></p></td>
+<td><p>Get the list of input feature names that the generative model was trained on.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.meta" title="sup3r.models.linear.LinearInterp.meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meta</span></code></a></p></td>
+<td><p>Get meta data dictionary that defines the model params</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.model_params" title="sup3r.models.linear.LinearInterp.model_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">model_params</span></code></a></p></td>
+<td><p>Model parameters, used to save model to disc</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.output_resolution" title="sup3r.models.linear.LinearInterp.output_resolution"><code class="xref py py-obj docutils literal notranslate"><span class="pre">output_resolution</span></code></a></p></td>
+<td><p>Resolution of output data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.s_enhance" title="sup3r.models.linear.LinearInterp.s_enhance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhance</span></code></a></p></td>
+<td><p>Factor by which model will enhance spatial resolution.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.s_enhancements" title="sup3r.models.linear.LinearInterp.s_enhancements"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhancements</span></code></a></p></td>
+<td><p>List of spatial enhancement factors.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.smoothed_features" title="sup3r.models.linear.LinearInterp.smoothed_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">smoothed_features</span></code></a></p></td>
+<td><p>Get the list of smoothed input feature names that the generative model was trained on.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.smoothing" title="sup3r.models.linear.LinearInterp.smoothing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">smoothing</span></code></a></p></td>
+<td><p>Value of smoothing parameter used in gaussian filtering of coarsened high res data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.t_enhance" title="sup3r.models.linear.LinearInterp.t_enhance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhance</span></code></a></p></td>
+<td><p>Factor by which model will enhance temporal resolution.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.t_enhancements" title="sup3r.models.linear.LinearInterp.t_enhancements"><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhancements</span></code></a></p></td>
+<td><p>List of temporal enhancement factors.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.linear.LinearInterp.version_record" title="sup3r.models.linear.LinearInterp.version_record"><code class="xref py py-obj docutils literal notranslate"><span class="pre">version_record</span></code></a></p></td>
+<td><p>A record of important versions that this model was built with.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.load">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_dir</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/linear.html#LinearInterp.load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.linear.LinearInterp.load" title="Link to this definition">#</a></dt>
+<dd><p>Load the LinearInterp model with its params saved to the model_dir
+created with LinearInterp.save(model_dir)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>model_dir</strong> (<em>str</em>) – Directory to load LinearInterp model files from. Must
+have a model_params.json file containing “meta” key with all of the
+class init args.</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to log information about the loaded model.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>LinearInterp</em>) – Returns an initialized LinearInterp model</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.meta">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">meta</span></span><a class="headerlink" href="#sup3r.models.linear.LinearInterp.meta" title="Link to this definition">#</a></dt>
+<dd><p>Get meta data dictionary that defines the model params</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.lr_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_features</span></span><a class="headerlink" href="#sup3r.models.linear.LinearInterp.lr_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the list of input feature names that the generative model was
+trained on.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.hr_out_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_out_features</span></span><a class="headerlink" href="#sup3r.models.linear.LinearInterp.hr_out_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the list of output feature names that the generative model
+outputs</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.hr_exo_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_exo_features</span></span><a class="headerlink" href="#sup3r.models.linear.LinearInterp.hr_exo_features" title="Link to this definition">#</a></dt>
+<dd><p>Returns an empty list for LinearInterp model</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.save">
+<span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/linear.html#LinearInterp.save"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.linear.LinearInterp.save" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>out_dir</strong> (<em>str</em>) – Directory to save linear model params. This directory will be
+created if it does not already exist.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.generate">
+<span class="sig-name descname"><span class="pre">generate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_in</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">un_norm_out</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">exogenous_data</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/linear.html#LinearInterp.generate"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.linear.LinearInterp.generate" title="Link to this definition">#</a></dt>
+<dd><p>Use the generator model to generate high res data from low res
+input. This is the public generate function.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low_res</strong> (<em>np.ndarray</em>) – Low-resolution spatiotemporal input data, a 5D array of shape:
+(n_obs, spatial_1, spatial_2, temporal, n_features)</p></li>
+<li><p><strong>norm_in</strong> (<em>bool</em>) – This doesnt do anything for this LinearInterp, but is
+kept to keep the same interface as Sup3rGan</p></li>
+<li><p><strong>un_norm_out</strong> (<em>bool</em>) – This doesnt do anything for this LinearInterp, but is
+kept to keep the same interface as Sup3rGan</p></li>
+<li><p><strong>exogenous_data</strong> (<em>list</em>) – This doesnt do anything for this LinearInterp, but is
+kept to keep the same interface as Sup3rGan</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>hi_res</strong> (<em>ndarray</em>) – high-resolution spatial output data, a 5D array of shape:
+(n_obs, spatial_1, spatial_2, temporal, n_features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.get_s_enhance_from_layers">
+<span class="sig-name descname"><span class="pre">get_s_enhance_from_layers</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.linear.LinearInterp.get_s_enhance_from_layers" title="Link to this definition">#</a></dt>
+<dd><p>Compute factor by which model will enhance spatial resolution from
+layer attributes. Used in model training during high res coarsening</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.get_t_enhance_from_layers">
+<span class="sig-name descname"><span class="pre">get_t_enhance_from_layers</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.linear.LinearInterp.get_t_enhance_from_layers" title="Link to this definition">#</a></dt>
+<dd><p>Compute factor by which model will enhance temporal resolution from
+layer attributes. Used in model training during high res coarsening</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.input_dims">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">input_dims</span></span><a class="headerlink" href="#sup3r.models.linear.LinearInterp.input_dims" title="Link to this definition">#</a></dt>
+<dd><p>Get dimension of model generator input. This is usually 4D for
+spatial models and 5D for spatiotemporal models. This gives the input
+to the first step if the model is multi-step. Returns 5 for linear
+models.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>int</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.input_resolution">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">input_resolution</span></span><a class="headerlink" href="#sup3r.models.linear.LinearInterp.input_resolution" title="Link to this definition">#</a></dt>
+<dd><p>Resolution of input data. Given as a dictionary
+<code class="docutils literal notranslate"><span class="pre">{'spatial':</span> <span class="pre">'...km',</span> <span class="pre">'temporal':</span> <span class="pre">'...min'}</span></code>. The numbers are
+required to be integers in the units specified. The units are not
+strict as long as the resolution of the exogenous data, when extracting
+exogenous data, is specified in the same units.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.is_4d">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_4d</span></span><a class="headerlink" href="#sup3r.models.linear.LinearInterp.is_4d" title="Link to this definition">#</a></dt>
+<dd><p>Check if model expects spatial only input</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.is_5d">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_5d</span></span><a class="headerlink" href="#sup3r.models.linear.LinearInterp.is_5d" title="Link to this definition">#</a></dt>
+<dd><p>Check if model expects spatiotemporal input</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.model_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">model_params</span></span><a class="headerlink" href="#sup3r.models.linear.LinearInterp.model_params" title="Link to this definition">#</a></dt>
+<dd><p>Model parameters, used to save model to disc</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>dict</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.output_resolution">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_resolution</span></span><a class="headerlink" href="#sup3r.models.linear.LinearInterp.output_resolution" title="Link to this definition">#</a></dt>
+<dd><p>Resolution of output data. Given as a dictionary
+{‘spatial’: ‘…km’, ‘temporal’: ‘…min’}. This is computed from the
+input resolution and the enhancement factors.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.s_enhance">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_enhance</span></span><a class="headerlink" href="#sup3r.models.linear.LinearInterp.s_enhance" title="Link to this definition">#</a></dt>
+<dd><p>Factor by which model will enhance spatial resolution. Used in
+model training during high res coarsening and also in forward pass
+routine to determine shape of needed exogenous data</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.s_enhancements">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_enhancements</span></span><a class="headerlink" href="#sup3r.models.linear.LinearInterp.s_enhancements" title="Link to this definition">#</a></dt>
+<dd><p>List of spatial enhancement factors. In the case of a single step
+model this is just <code class="docutils literal notranslate"><span class="pre">[self.s_enhance]</span></code>. This is used to determine
+shapes of needed exogenous data in forward pass routine</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.save_params">
+<span class="sig-name descname"><span class="pre">save_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.linear.LinearInterp.save_params" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>out_dir</strong> (<em>str</em>) – Directory to save linear model params. This directory will be
+created if it does not already exist.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.seed">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">seed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.linear.LinearInterp.seed" title="Link to this definition">#</a></dt>
+<dd><p>Set the random seed for reproducible results.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>s</strong> (<em>int</em>) – Random seed</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.set_model_params">
+<span class="sig-name descname"><span class="pre">set_model_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.linear.LinearInterp.set_model_params" title="Link to this definition">#</a></dt>
+<dd><p>Set parameters used for training the model</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>kwargs</strong> (<em>dict</em>) – Keyword arguments including ‘input_resolution’,
+‘lr_features’, ‘hr_exo_features’, ‘hr_out_features’,
+‘smoothed_features’, ‘s_enhance’, ‘t_enhance’, ‘smoothing’</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.smoothed_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">smoothed_features</span></span><a class="headerlink" href="#sup3r.models.linear.LinearInterp.smoothed_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the list of smoothed input feature names that the generative
+model was trained on.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.smoothing">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">smoothing</span></span><a class="headerlink" href="#sup3r.models.linear.LinearInterp.smoothing" title="Link to this definition">#</a></dt>
+<dd><p>Value of smoothing parameter used in gaussian filtering of coarsened
+high res data.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.t_enhance">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">t_enhance</span></span><a class="headerlink" href="#sup3r.models.linear.LinearInterp.t_enhance" title="Link to this definition">#</a></dt>
+<dd><p>Factor by which model will enhance temporal resolution. Used in
+model training during high res coarsening and also in forward pass
+routine to determine shape of needed exogenous data</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.t_enhancements">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">t_enhancements</span></span><a class="headerlink" href="#sup3r.models.linear.LinearInterp.t_enhancements" title="Link to this definition">#</a></dt>
+<dd><p>List of temporal enhancement factors. In the case of a single step
+model this is just <code class="docutils literal notranslate"><span class="pre">[self.t_enhance]</span></code>. This is used to determine
+shapes of needed exogenous data in forward pass routine</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.linear.LinearInterp.version_record">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">version_record</span></span><a class="headerlink" href="#sup3r.models.linear.LinearInterp.version_record" title="Link to this definition">#</a></dt>
+<dd><p>A record of important versions that this model was built with.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>dict</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp"><code class="docutils literal notranslate"><span class="pre">LinearInterp</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.load"><code class="docutils literal notranslate"><span class="pre">LinearInterp.load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.meta"><code class="docutils literal notranslate"><span class="pre">LinearInterp.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.lr_features"><code class="docutils literal notranslate"><span class="pre">LinearInterp.lr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.hr_out_features"><code class="docutils literal notranslate"><span class="pre">LinearInterp.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">LinearInterp.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.save"><code class="docutils literal notranslate"><span class="pre">LinearInterp.save()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.generate"><code class="docutils literal notranslate"><span class="pre">LinearInterp.generate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.get_s_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">LinearInterp.get_s_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.get_t_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">LinearInterp.get_t_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.input_dims"><code class="docutils literal notranslate"><span class="pre">LinearInterp.input_dims</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.input_resolution"><code class="docutils literal notranslate"><span class="pre">LinearInterp.input_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.is_4d"><code class="docutils literal notranslate"><span class="pre">LinearInterp.is_4d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.is_5d"><code class="docutils literal notranslate"><span class="pre">LinearInterp.is_5d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.model_params"><code class="docutils literal notranslate"><span class="pre">LinearInterp.model_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.output_resolution"><code class="docutils literal notranslate"><span class="pre">LinearInterp.output_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.s_enhance"><code class="docutils literal notranslate"><span class="pre">LinearInterp.s_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.s_enhancements"><code class="docutils literal notranslate"><span class="pre">LinearInterp.s_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.save_params"><code class="docutils literal notranslate"><span class="pre">LinearInterp.save_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.seed"><code class="docutils literal notranslate"><span class="pre">LinearInterp.seed()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.set_model_params"><code class="docutils literal notranslate"><span class="pre">LinearInterp.set_model_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.smoothed_features"><code class="docutils literal notranslate"><span class="pre">LinearInterp.smoothed_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.smoothing"><code class="docutils literal notranslate"><span class="pre">LinearInterp.smoothing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.t_enhance"><code class="docutils literal notranslate"><span class="pre">LinearInterp.t_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.t_enhancements"><code class="docutils literal notranslate"><span class="pre">LinearInterp.t_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.linear.LinearInterp.version_record"><code class="docutils literal notranslate"><span class="pre">LinearInterp.version_record</span></code></a></li>
+</ul>
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+  <section id="module-sup3r.models.linear">
+<span id="sup3r-models-linear"></span><h1>sup3r.models.linear<a class="headerlink" href="#module-sup3r.models.linear" title="Link to this heading">#</a></h1>
+<p>Simple models for super resolution such as linear interp models.</p>
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+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp" title="sup3r.models.linear.LinearInterp"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LinearInterp</span></code></a>(lr_features, s_enhance, t_enhance)</p></td>
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+    <h1>sup3r.models.multi_step.MultiStepGan</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan"><code class="docutils literal notranslate"><span class="pre">MultiStepGan</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.load"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.models"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.models</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.means"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.means</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.stdevs"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.stdevs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.seed"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.seed()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.generate"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.generate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.version_record"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.version_record</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.meta"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.lr_features"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.lr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.hr_out_features"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.model_params"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.model_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.get_s_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.get_s_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.get_t_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.get_t_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.input_dims"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.input_dims</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.input_resolution"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.input_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.is_4d"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.is_4d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.is_5d"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.is_5d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.output_resolution"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.output_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.s_enhance"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.s_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.s_enhancements"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.s_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.save_params"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.save_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.set_model_params"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.set_model_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.smoothed_features"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.smoothed_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.smoothing"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.smoothing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.t_enhance"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.t_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.t_enhancements"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.t_enhancements</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-models-multi-step-multistepgan">
+<h1>sup3r.models.multi_step.MultiStepGan<a class="headerlink" href="#sup3r-models-multi-step-multistepgan" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">MultiStepGan</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">models</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/multi_step.html#MultiStepGan"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface" title="sup3r.models.abstract.AbstractInterface"><code class="xref py py-class docutils literal notranslate"><span class="pre">AbstractInterface</span></code></a></p>
+<p>Multi-Step GAN, which is really just an abstraction layer on top of one
+or more Sup3rGan models that will perform their forward passes in
+serial.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>models</strong> (<em>list | tuple</em>) – An ordered list/tuple of one or more trained Sup3rGan models</p>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.generate" title="sup3r.models.multi_step.MultiStepGan.generate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">generate</span></code></a>(low_res[, norm_in, un_norm_out, ...])</p></td>
+<td><p>Use the generator model to generate high res data from low res input.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.get_s_enhance_from_layers" title="sup3r.models.multi_step.MultiStepGan.get_s_enhance_from_layers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_s_enhance_from_layers</span></code></a>()</p></td>
+<td><p>Compute factor by which model will enhance spatial resolution from layer attributes.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.get_t_enhance_from_layers" title="sup3r.models.multi_step.MultiStepGan.get_t_enhance_from_layers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_t_enhance_from_layers</span></code></a>()</p></td>
+<td><p>Compute factor by which model will enhance temporal resolution from layer attributes.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.load" title="sup3r.models.multi_step.MultiStepGan.load"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load</span></code></a>(model_dirs[, model_kwargs, verbose])</p></td>
+<td><p>Load the GANs with its sub-networks from a previously saved-to output directory.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.save_params" title="sup3r.models.multi_step.MultiStepGan.save_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save_params</span></code></a>(out_dir)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.seed" title="sup3r.models.multi_step.MultiStepGan.seed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">seed</span></code></a>([s])</p></td>
+<td><p>Set the random seed for reproducible results.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.set_model_params" title="sup3r.models.multi_step.MultiStepGan.set_model_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_model_params</span></code></a>(**kwargs)</p></td>
+<td><p>Set parameters used for training the model</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.hr_exo_features" title="sup3r.models.multi_step.MultiStepGan.hr_exo_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_exo_features</span></code></a></p></td>
+<td><p>Get list of high-resolution exogenous filter names the model uses.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.hr_out_features" title="sup3r.models.multi_step.MultiStepGan.hr_out_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_out_features</span></code></a></p></td>
+<td><p>Get the list of high-resolution output feature names that the generative model outputs.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.input_dims" title="sup3r.models.multi_step.MultiStepGan.input_dims"><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_dims</span></code></a></p></td>
+<td><p>Get dimension of model generator input.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.input_resolution" title="sup3r.models.multi_step.MultiStepGan.input_resolution"><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_resolution</span></code></a></p></td>
+<td><p>Resolution of input data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.is_4d" title="sup3r.models.multi_step.MultiStepGan.is_4d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_4d</span></code></a></p></td>
+<td><p>Check if model expects spatial only input</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.is_5d" title="sup3r.models.multi_step.MultiStepGan.is_5d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_5d</span></code></a></p></td>
+<td><p>Check if model expects spatiotemporal input</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.lr_features" title="sup3r.models.multi_step.MultiStepGan.lr_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_features</span></code></a></p></td>
+<td><p>Get a list of low-resolution features input to the generative model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.means" title="sup3r.models.multi_step.MultiStepGan.means"><code class="xref py py-obj docutils literal notranslate"><span class="pre">means</span></code></a></p></td>
+<td><p>Get the data normalization mean values.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.meta" title="sup3r.models.multi_step.MultiStepGan.meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meta</span></code></a></p></td>
+<td><p>Get a tuple of meta data dictionaries for all models</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.model_params" title="sup3r.models.multi_step.MultiStepGan.model_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">model_params</span></code></a></p></td>
+<td><p>Get a tuple of model parameters for all models</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.models" title="sup3r.models.multi_step.MultiStepGan.models"><code class="xref py py-obj docutils literal notranslate"><span class="pre">models</span></code></a></p></td>
+<td><p>Get an ordered tuple of the Sup3rGan models that are part of this MultiStepGan</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.output_resolution" title="sup3r.models.multi_step.MultiStepGan.output_resolution"><code class="xref py py-obj docutils literal notranslate"><span class="pre">output_resolution</span></code></a></p></td>
+<td><p>Resolution of output data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.s_enhance" title="sup3r.models.multi_step.MultiStepGan.s_enhance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhance</span></code></a></p></td>
+<td><p>Factor by which model will enhance spatial resolution.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.s_enhancements" title="sup3r.models.multi_step.MultiStepGan.s_enhancements"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhancements</span></code></a></p></td>
+<td><p>List of spatial enhancement factors.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.smoothed_features" title="sup3r.models.multi_step.MultiStepGan.smoothed_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">smoothed_features</span></code></a></p></td>
+<td><p>Get the list of smoothed input feature names that the generative model was trained on.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.smoothing" title="sup3r.models.multi_step.MultiStepGan.smoothing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">smoothing</span></code></a></p></td>
+<td><p>Value of smoothing parameter used in gaussian filtering of coarsened high res data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.stdevs" title="sup3r.models.multi_step.MultiStepGan.stdevs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stdevs</span></code></a></p></td>
+<td><p>Get the data normalization standard deviation values.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.t_enhance" title="sup3r.models.multi_step.MultiStepGan.t_enhance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhance</span></code></a></p></td>
+<td><p>Factor by which model will enhance temporal resolution.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.t_enhancements" title="sup3r.models.multi_step.MultiStepGan.t_enhancements"><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhancements</span></code></a></p></td>
+<td><p>List of temporal enhancement factors.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepGan.version_record" title="sup3r.models.multi_step.MultiStepGan.version_record"><code class="xref py py-obj docutils literal notranslate"><span class="pre">version_record</span></code></a></p></td>
+<td><p>Get a tuple of version records from all models</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.load">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_dirs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/multi_step.html#MultiStepGan.load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.load" title="Link to this definition">#</a></dt>
+<dd><p>Load the GANs with its sub-networks from a previously saved-to
+output directory.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>model_dirs</strong> (<em>list | tuple</em>) – An ordered list/tuple of one or more directories containing trained
++ saved Sup3rGan models created using the Sup3rGan.save() method.</p></li>
+<li><p><strong>model_kwargs</strong> (<em>list | tuple</em>) – An ordered list/tuple of one or more dictionaries containing kwargs
+for the corresponding model in model_dirs</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to log information about the loaded model.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>MultiStepGan</em>) – Returns a pretrained gan model that was previously saved to
+model_dirs</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.models">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">models</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.models" title="Link to this definition">#</a></dt>
+<dd><p>Get an ordered tuple of the Sup3rGan models that are part of this
+MultiStepGan</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.means">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">means</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.means" title="Link to this definition">#</a></dt>
+<dd><p>Get the data normalization mean values. This is a tuple of means
+from all models.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>tuple | np.ndarray</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.stdevs">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">stdevs</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.stdevs" title="Link to this definition">#</a></dt>
+<dd><p>Get the data normalization standard deviation values. This is a
+tuple of stdevs from all models.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>tuple | np.ndarray</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.seed">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">seed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/multi_step.html#MultiStepGan.seed"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.seed" title="Link to this definition">#</a></dt>
+<dd><p>Set the random seed for reproducible results.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>s</strong> (<em>int</em>) – Random seed</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.generate">
+<span class="sig-name descname"><span class="pre">generate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_in</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">un_norm_out</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">exogenous_data</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/multi_step.html#MultiStepGan.generate"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.generate" title="Link to this definition">#</a></dt>
+<dd><p>Use the generator model to generate high res data from low res
+input. This is the public generate function.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>low_res</strong> (<em>np.ndarray</em>) – Low-resolution input data, usually a 4D or 5D array of shape:
+(n_obs, spatial_1, spatial_2, n_features)
+(n_obs, spatial_1, spatial_2, n_temporal, n_features)</p></li>
+<li><p><strong>norm_in</strong> (<em>bool</em>) – Flag to normalize low_res input data if the self.means,
+self.stdevs attributes are available. The generator should always
+received normalized data with mean=0 stdev=1.</p></li>
+<li><p><strong>un_norm_out</strong> (<em>bool</em>) – Flag to un-normalize synthetically generated output data to physical
+units</p></li>
+<li><p><strong>exogenous_data</strong> (<em>ExoData</em>) –</p>
+<dl class="simple">
+<dt><code class="xref py py-class docutils literal notranslate"><span class="pre">ExoData</span></code> object, which is a special dictionary containing</dt><dd><p>exogenous data for each model step and info about how to use the
+data at each step.</p>
+</dd>
+</dl>
+</li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>hi_res</strong> (<em>ndarray</em>) – Synthetically generated high-resolution data, usually a 4D or 5D
+array with shape:
+(n_obs, spatial_1, spatial_2, n_features)
+(n_obs, spatial_1, spatial_2, n_temporal, n_features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.version_record">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">version_record</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.version_record" title="Link to this definition">#</a></dt>
+<dd><p>Get a tuple of version records from all models</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>tuple</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.meta">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">meta</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.meta" title="Link to this definition">#</a></dt>
+<dd><p>Get a tuple of meta data dictionaries for all models</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>tuple</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.lr_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_features</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.lr_features" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of low-resolution features input to the generative model.
+This includes low-resolution features that might be supplied
+exogenously at inference time but that were in the low-res batches
+during training</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.hr_out_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_out_features</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.hr_out_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the list of high-resolution output feature names that the
+generative model outputs.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.hr_exo_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_exo_features</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.hr_exo_features" title="Link to this definition">#</a></dt>
+<dd><p>Get list of high-resolution exogenous filter names the model uses.
+For the multi-step model, each entry in this list corresponds to one of
+the single-step models and is itself a list of hr_exo_features for that
+model.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.model_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">model_params</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.model_params" title="Link to this definition">#</a></dt>
+<dd><p>Get a tuple of model parameters for all models</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>tuple</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.get_s_enhance_from_layers">
+<span class="sig-name descname"><span class="pre">get_s_enhance_from_layers</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.get_s_enhance_from_layers" title="Link to this definition">#</a></dt>
+<dd><p>Compute factor by which model will enhance spatial resolution from
+layer attributes. Used in model training during high res coarsening</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.get_t_enhance_from_layers">
+<span class="sig-name descname"><span class="pre">get_t_enhance_from_layers</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.get_t_enhance_from_layers" title="Link to this definition">#</a></dt>
+<dd><p>Compute factor by which model will enhance temporal resolution from
+layer attributes. Used in model training during high res coarsening</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.input_dims">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">input_dims</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.input_dims" title="Link to this definition">#</a></dt>
+<dd><p>Get dimension of model generator input. This is usually 4D for
+spatial models and 5D for spatiotemporal models. This gives the input
+to the first step if the model is multi-step. Returns 5 for linear
+models.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>int</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.input_resolution">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">input_resolution</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.input_resolution" title="Link to this definition">#</a></dt>
+<dd><p>Resolution of input data. Given as a dictionary
+<code class="docutils literal notranslate"><span class="pre">{'spatial':</span> <span class="pre">'...km',</span> <span class="pre">'temporal':</span> <span class="pre">'...min'}</span></code>. The numbers are
+required to be integers in the units specified. The units are not
+strict as long as the resolution of the exogenous data, when extracting
+exogenous data, is specified in the same units.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.is_4d">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_4d</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.is_4d" title="Link to this definition">#</a></dt>
+<dd><p>Check if model expects spatial only input</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.is_5d">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_5d</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.is_5d" title="Link to this definition">#</a></dt>
+<dd><p>Check if model expects spatiotemporal input</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.output_resolution">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_resolution</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.output_resolution" title="Link to this definition">#</a></dt>
+<dd><p>Resolution of output data. Given as a dictionary
+{‘spatial’: ‘…km’, ‘temporal’: ‘…min’}. This is computed from the
+input resolution and the enhancement factors.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.s_enhance">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_enhance</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.s_enhance" title="Link to this definition">#</a></dt>
+<dd><p>Factor by which model will enhance spatial resolution. Used in
+model training during high res coarsening and also in forward pass
+routine to determine shape of needed exogenous data</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.s_enhancements">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_enhancements</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.s_enhancements" title="Link to this definition">#</a></dt>
+<dd><p>List of spatial enhancement factors. In the case of a single step
+model this is just <code class="docutils literal notranslate"><span class="pre">[self.s_enhance]</span></code>. This is used to determine
+shapes of needed exogenous data in forward pass routine</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.save_params">
+<span class="sig-name descname"><span class="pre">save_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.save_params" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>out_dir</strong> (<em>str</em>) – Directory to save linear model params. This directory will be
+created if it does not already exist.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.set_model_params">
+<span class="sig-name descname"><span class="pre">set_model_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.set_model_params" title="Link to this definition">#</a></dt>
+<dd><p>Set parameters used for training the model</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>kwargs</strong> (<em>dict</em>) – Keyword arguments including ‘input_resolution’,
+‘lr_features’, ‘hr_exo_features’, ‘hr_out_features’,
+‘smoothed_features’, ‘s_enhance’, ‘t_enhance’, ‘smoothing’</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.smoothed_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">smoothed_features</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.smoothed_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the list of smoothed input feature names that the generative
+model was trained on.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.smoothing">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">smoothing</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.smoothing" title="Link to this definition">#</a></dt>
+<dd><p>Value of smoothing parameter used in gaussian filtering of coarsened
+high res data.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.t_enhance">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">t_enhance</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.t_enhance" title="Link to this definition">#</a></dt>
+<dd><p>Factor by which model will enhance temporal resolution. Used in
+model training during high res coarsening and also in forward pass
+routine to determine shape of needed exogenous data</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepGan.t_enhancements">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">t_enhancements</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepGan.t_enhancements" title="Link to this definition">#</a></dt>
+<dd><p>List of temporal enhancement factors. In the case of a single step
+model this is just <code class="docutils literal notranslate"><span class="pre">[self.t_enhance]</span></code>. This is used to determine
+shapes of needed exogenous data in forward pass routine</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan"><code class="docutils literal notranslate"><span class="pre">MultiStepGan</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.load"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.models"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.models</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.means"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.means</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.stdevs"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.stdevs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.seed"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.seed()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.generate"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.generate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.version_record"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.version_record</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.meta"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.lr_features"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.lr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.hr_out_features"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.model_params"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.model_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.get_s_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.get_s_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.get_t_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.get_t_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.input_dims"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.input_dims</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.input_resolution"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.input_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.is_4d"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.is_4d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.is_5d"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.is_5d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.output_resolution"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.output_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.s_enhance"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.s_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.s_enhancements"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.s_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.save_params"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.save_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.set_model_params"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.set_model_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.smoothed_features"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.smoothed_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.smoothing"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.smoothing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.t_enhance"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.t_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepGan.t_enhancements"><code class="docutils literal notranslate"><span class="pre">MultiStepGan.t_enhancements</span></code></a></li>
+</ul>
+</li>
+</ul>
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diff --git a/_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html b/_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html
new file mode 100644
index 000000000..1fbb90ba4
--- /dev/null
+++ b/_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html
@@ -0,0 +1,1244 @@
+
+<!DOCTYPE html>
+
+
+<html lang="en" data-content_root="../" >
+
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+    <h1>sup3r.models.multi_step.MultiStepSurfaceMetGan</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.generate"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.generate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.load"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.get_s_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.get_s_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.get_t_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.get_t_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.hr_out_features"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.input_dims"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.input_dims</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.input_resolution"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.input_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.is_4d"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.is_4d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.is_5d"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.is_5d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.lr_features"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.lr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.means"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.means</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.meta"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.model_params"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.model_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.models"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.models</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.output_resolution"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.output_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.s_enhance"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.s_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.s_enhancements"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.s_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.save_params"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.save_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.seed"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.seed()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.set_model_params"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.set_model_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.smoothed_features"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.smoothed_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.smoothing"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.smoothing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.stdevs"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.stdevs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.t_enhance"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.t_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.t_enhancements"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.t_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.version_record"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.version_record</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-models-multi-step-multistepsurfacemetgan">
+<h1>sup3r.models.multi_step.MultiStepSurfaceMetGan<a class="headerlink" href="#sup3r-models-multi-step-multistepsurfacemetgan" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">MultiStepSurfaceMetGan</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">models</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/multi_step.html#MultiStepSurfaceMetGan"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan" title="sup3r.models.multi_step.MultiStepGan"><code class="xref py py-class docutils literal notranslate"><span class="pre">MultiStepGan</span></code></a></p>
+<p>A two-step GAN where the first step is a spatial-only enhancement on a
+4D tensor of near-surface temperature and relative humidity data, and the
+second step is a (spatio)temporal enhancement on a 5D tensor.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>No inputs are needed for the first spatial-only surface meteorology
+model. The spatial enhancement is determined by the low and high res
+topography inputs in the exogenous_data kwargs in the
+MultiStepSurfaceMetGan.generate() method.</p>
+<p>The low res input to the spatial enhancement should be a 4D tensor of
+the shape (temporal, spatial_1, spatial_2, features) where temporal
+(usually the observation index) is a series of sequential timesteps that
+will be transposed to a 5D tensor of shape
+(1, spatial_1, spatial_2, temporal, features) tensor and then fed to the
+2nd-step (spatio)temporal GAN.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>models</strong> (<em>list | tuple</em>) – An ordered list/tuple of one or more trained Sup3rGan models</p>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.generate" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.generate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">generate</span></code></a>(low_res[, norm_in, un_norm_out, ...])</p></td>
+<td><p>Use the generator model to generate high res data from low res input.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.get_s_enhance_from_layers" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.get_s_enhance_from_layers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_s_enhance_from_layers</span></code></a>()</p></td>
+<td><p>Compute factor by which model will enhance spatial resolution from layer attributes.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.get_t_enhance_from_layers" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.get_t_enhance_from_layers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_t_enhance_from_layers</span></code></a>()</p></td>
+<td><p>Compute factor by which model will enhance temporal resolution from layer attributes.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.load" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.load"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load</span></code></a>([surface_model_class, ...])</p></td>
+<td><p>Load the GANs with its sub-networks from a previously saved-to output directory.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.save_params" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.save_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save_params</span></code></a>(out_dir)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.seed" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.seed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">seed</span></code></a>([s])</p></td>
+<td><p>Set the random seed for reproducible results.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.set_model_params" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.set_model_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_model_params</span></code></a>(**kwargs)</p></td>
+<td><p>Set parameters used for training the model</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.hr_exo_features" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.hr_exo_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_exo_features</span></code></a></p></td>
+<td><p>Get list of high-resolution exogenous filter names the model uses.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.hr_out_features" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.hr_out_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_out_features</span></code></a></p></td>
+<td><p>Get the list of high-resolution output feature names that the generative model outputs.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.input_dims" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.input_dims"><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_dims</span></code></a></p></td>
+<td><p>Get dimension of model generator input.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.input_resolution" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.input_resolution"><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_resolution</span></code></a></p></td>
+<td><p>Resolution of input data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.is_4d" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.is_4d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_4d</span></code></a></p></td>
+<td><p>Check if model expects spatial only input</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.is_5d" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.is_5d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_5d</span></code></a></p></td>
+<td><p>Check if model expects spatiotemporal input</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.lr_features" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.lr_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_features</span></code></a></p></td>
+<td><p>Get a list of low-resolution features input to the generative model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.means" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.means"><code class="xref py py-obj docutils literal notranslate"><span class="pre">means</span></code></a></p></td>
+<td><p>Get the data normalization mean values.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.meta" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meta</span></code></a></p></td>
+<td><p>Get a tuple of meta data dictionaries for all models</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.model_params" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.model_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">model_params</span></code></a></p></td>
+<td><p>Get a tuple of model parameters for all models</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.models" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.models"><code class="xref py py-obj docutils literal notranslate"><span class="pre">models</span></code></a></p></td>
+<td><p>Get an ordered tuple of the Sup3rGan models that are part of this MultiStepGan</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.output_resolution" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.output_resolution"><code class="xref py py-obj docutils literal notranslate"><span class="pre">output_resolution</span></code></a></p></td>
+<td><p>Resolution of output data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.s_enhance" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.s_enhance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhance</span></code></a></p></td>
+<td><p>Factor by which model will enhance spatial resolution.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.s_enhancements" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.s_enhancements"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhancements</span></code></a></p></td>
+<td><p>List of spatial enhancement factors.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.smoothed_features" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.smoothed_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">smoothed_features</span></code></a></p></td>
+<td><p>Get the list of smoothed input feature names that the generative model was trained on.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.smoothing" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.smoothing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">smoothing</span></code></a></p></td>
+<td><p>Value of smoothing parameter used in gaussian filtering of coarsened high res data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.stdevs" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.stdevs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stdevs</span></code></a></p></td>
+<td><p>Get the data normalization standard deviation values.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.t_enhance" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.t_enhance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhance</span></code></a></p></td>
+<td><p>Factor by which model will enhance temporal resolution.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.t_enhancements" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.t_enhancements"><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhancements</span></code></a></p></td>
+<td><p>List of temporal enhancement factors.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.version_record" title="sup3r.models.multi_step.MultiStepSurfaceMetGan.version_record"><code class="xref py py-obj docutils literal notranslate"><span class="pre">version_record</span></code></a></p></td>
+<td><p>Get a tuple of version records from all models</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.generate">
+<span class="sig-name descname"><span class="pre">generate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_in</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">un_norm_out</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">exogenous_data</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/multi_step.html#MultiStepSurfaceMetGan.generate"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.generate" title="Link to this definition">#</a></dt>
+<dd><p>Use the generator model to generate high res data from low res
+input. This is the public generate function.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>low_res</strong> (<em>np.ndarray</em>) – Low-resolution spatial input data, a 4D array of shape:
+(n_obs, spatial_1, spatial_2, n_features), Where the feature
+channel can include temperature_*m, relativehumidity_*m, and/or
+pressure_*m</p></li>
+<li><p><strong>norm_in</strong> (<em>bool</em>) – Flag to normalize low_res input data if the self.means,
+self.stdevs attributes are available. The generator should always
+received normalized data with mean=0 stdev=1.</p></li>
+<li><p><strong>un_norm_out</strong> (<em>bool</em>) – Flag to un-normalize synthetically generated output data to physical
+units</p></li>
+<li><p><strong>exogenous_data</strong> (<em>dict</em>) – For the MultiStepSurfaceMetGan, this must be a nested dictionary
+with a main ‘topography’ key and two entries for
+exogenous_data[‘topography’][‘steps’]. The first entry includes a
+2D (lat, lon) array of low-resolution surface elevation data in
+meters (must match spatial_1, spatial_2 from low_res), and the
+second entry includes a 2D (lat, lon) array of high-resolution
+surface elevation data in meters. e.g.
+.. code-block:: JSON</p>
+<blockquote>
+<div><dl>
+<dt>{‘topography’: {</dt><dd><dl>
+<dt>‘steps’: [</dt><dd><dl class="simple">
+<dt>{‘model’: 0,</dt><dd><p>‘combine_type’:
+‘input’,
+‘data’: lr_topo},</p>
+</dd>
+<dt>{‘model’: 0,</dt><dd><p>‘combine_type’:
+‘output’,
+‘data’: hr_topo’}</p>
+</dd>
+</dl>
+<p>]</p>
+</dd>
+</dl>
+<p>}</p>
+</dd>
+</dl>
+<p>}</p>
+</div></blockquote>
+</li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>hi_res</strong> (<em>ndarray</em>) – Synthetically generated high-resolution data output from the 2nd
+step (spatio)temporal GAN with a 5D array shape:
+(1, spatial_1, spatial_2, n_temporal, n_features), Where the
+feature channel can include temperature_*m, relativehumidity_*m,
+and/or pressure_*m</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.load">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">surface_model_class</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'SurfaceSpatialMetModel'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_model_class</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'MultiStepGan'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">surface_model_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_model_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/multi_step.html#MultiStepSurfaceMetGan.load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.load" title="Link to this definition">#</a></dt>
+<dd><p>Load the GANs with its sub-networks from a previously saved-to
+output directory.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>surface_model_class</strong> (<em>str</em>) – Name of surface model class to be retrieved from sup3r.models, this
+is typically “SurfaceSpatialMetModel”</p></li>
+<li><p><strong>temporal_model_class</strong> (<em>str</em>) – Name of temporal model class to be retrieved from sup3r.models,
+this is typically “Sup3rGan”</p></li>
+<li><p><strong>surface_model_kwargs</strong> (<em>None | dict</em>) – Optional additional kwargs to surface_model_class.load()</p></li>
+<li><p><strong>temporal_model_kwargs</strong> (<em>None | dict</em>) – Optional additional kwargs to temporal_model_class.load()</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to log information about the loaded model.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>MultiStepGan</em>) – Returns a pretrained gan model that was previously saved to
+model_dirs</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.get_s_enhance_from_layers">
+<span class="sig-name descname"><span class="pre">get_s_enhance_from_layers</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.get_s_enhance_from_layers" title="Link to this definition">#</a></dt>
+<dd><p>Compute factor by which model will enhance spatial resolution from
+layer attributes. Used in model training during high res coarsening</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.get_t_enhance_from_layers">
+<span class="sig-name descname"><span class="pre">get_t_enhance_from_layers</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.get_t_enhance_from_layers" title="Link to this definition">#</a></dt>
+<dd><p>Compute factor by which model will enhance temporal resolution from
+layer attributes. Used in model training during high res coarsening</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.hr_exo_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_exo_features</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.hr_exo_features" title="Link to this definition">#</a></dt>
+<dd><p>Get list of high-resolution exogenous filter names the model uses.
+For the multi-step model, each entry in this list corresponds to one of
+the single-step models and is itself a list of hr_exo_features for that
+model.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.hr_out_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_out_features</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.hr_out_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the list of high-resolution output feature names that the
+generative model outputs.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.input_dims">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">input_dims</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.input_dims" title="Link to this definition">#</a></dt>
+<dd><p>Get dimension of model generator input. This is usually 4D for
+spatial models and 5D for spatiotemporal models. This gives the input
+to the first step if the model is multi-step. Returns 5 for linear
+models.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>int</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.input_resolution">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">input_resolution</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.input_resolution" title="Link to this definition">#</a></dt>
+<dd><p>Resolution of input data. Given as a dictionary
+<code class="docutils literal notranslate"><span class="pre">{'spatial':</span> <span class="pre">'...km',</span> <span class="pre">'temporal':</span> <span class="pre">'...min'}</span></code>. The numbers are
+required to be integers in the units specified. The units are not
+strict as long as the resolution of the exogenous data, when extracting
+exogenous data, is specified in the same units.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.is_4d">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_4d</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.is_4d" title="Link to this definition">#</a></dt>
+<dd><p>Check if model expects spatial only input</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.is_5d">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_5d</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.is_5d" title="Link to this definition">#</a></dt>
+<dd><p>Check if model expects spatiotemporal input</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.lr_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_features</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.lr_features" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of low-resolution features input to the generative model.
+This includes low-resolution features that might be supplied
+exogenously at inference time but that were in the low-res batches
+during training</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.means">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">means</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.means" title="Link to this definition">#</a></dt>
+<dd><p>Get the data normalization mean values. This is a tuple of means
+from all models.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>tuple | np.ndarray</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.meta">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">meta</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.meta" title="Link to this definition">#</a></dt>
+<dd><p>Get a tuple of meta data dictionaries for all models</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>tuple</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.model_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">model_params</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.model_params" title="Link to this definition">#</a></dt>
+<dd><p>Get a tuple of model parameters for all models</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>tuple</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.models">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">models</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.models" title="Link to this definition">#</a></dt>
+<dd><p>Get an ordered tuple of the Sup3rGan models that are part of this
+MultiStepGan</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.output_resolution">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_resolution</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.output_resolution" title="Link to this definition">#</a></dt>
+<dd><p>Resolution of output data. Given as a dictionary
+{‘spatial’: ‘…km’, ‘temporal’: ‘…min’}. This is computed from the
+input resolution and the enhancement factors.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.s_enhance">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_enhance</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.s_enhance" title="Link to this definition">#</a></dt>
+<dd><p>Factor by which model will enhance spatial resolution. Used in
+model training during high res coarsening and also in forward pass
+routine to determine shape of needed exogenous data</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.s_enhancements">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_enhancements</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.s_enhancements" title="Link to this definition">#</a></dt>
+<dd><p>List of spatial enhancement factors. In the case of a single step
+model this is just <code class="docutils literal notranslate"><span class="pre">[self.s_enhance]</span></code>. This is used to determine
+shapes of needed exogenous data in forward pass routine</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.save_params">
+<span class="sig-name descname"><span class="pre">save_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.save_params" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>out_dir</strong> (<em>str</em>) – Directory to save linear model params. This directory will be
+created if it does not already exist.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.seed">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">seed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.seed" title="Link to this definition">#</a></dt>
+<dd><p>Set the random seed for reproducible results.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>s</strong> (<em>int</em>) – Random seed</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.set_model_params">
+<span class="sig-name descname"><span class="pre">set_model_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.set_model_params" title="Link to this definition">#</a></dt>
+<dd><p>Set parameters used for training the model</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>kwargs</strong> (<em>dict</em>) – Keyword arguments including ‘input_resolution’,
+‘lr_features’, ‘hr_exo_features’, ‘hr_out_features’,
+‘smoothed_features’, ‘s_enhance’, ‘t_enhance’, ‘smoothing’</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.smoothed_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">smoothed_features</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.smoothed_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the list of smoothed input feature names that the generative
+model was trained on.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.smoothing">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">smoothing</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.smoothing" title="Link to this definition">#</a></dt>
+<dd><p>Value of smoothing parameter used in gaussian filtering of coarsened
+high res data.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.stdevs">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">stdevs</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.stdevs" title="Link to this definition">#</a></dt>
+<dd><p>Get the data normalization standard deviation values. This is a
+tuple of stdevs from all models.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>tuple | np.ndarray</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.t_enhance">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">t_enhance</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.t_enhance" title="Link to this definition">#</a></dt>
+<dd><p>Factor by which model will enhance temporal resolution. Used in
+model training during high res coarsening and also in forward pass
+routine to determine shape of needed exogenous data</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.t_enhancements">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">t_enhancements</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.t_enhancements" title="Link to this definition">#</a></dt>
+<dd><p>List of temporal enhancement factors. In the case of a single step
+model this is just <code class="docutils literal notranslate"><span class="pre">[self.t_enhance]</span></code>. This is used to determine
+shapes of needed exogenous data in forward pass routine</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.MultiStepSurfaceMetGan.version_record">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">version_record</span></span><a class="headerlink" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.version_record" title="Link to this definition">#</a></dt>
+<dd><p>Get a tuple of version records from all models</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>tuple</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
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+              
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+                <footer class="prev-next-footer d-print-none">
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+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.generate"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.generate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.load"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.get_s_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.get_s_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.get_t_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.get_t_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.hr_out_features"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.input_dims"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.input_dims</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.input_resolution"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.input_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.is_4d"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.is_4d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.is_5d"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.is_5d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.lr_features"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.lr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.means"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.means</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.meta"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.model_params"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.model_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.models"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.models</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.output_resolution"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.output_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.s_enhance"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.s_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.s_enhancements"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.s_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.save_params"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.save_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.seed"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.seed()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.set_model_params"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.set_model_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.smoothed_features"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.smoothed_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.smoothing"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.smoothing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.stdevs"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.stdevs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.t_enhance"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.t_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.t_enhancements"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.t_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.MultiStepSurfaceMetGan.version_record"><code class="docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan.version_record</span></code></a></li>
+</ul>
+</li>
+</ul>
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diff --git a/_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html b/_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html
new file mode 100644
index 000000000..0413a78b6
--- /dev/null
+++ b/_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html
@@ -0,0 +1,1374 @@
+
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+    <h1>sup3r.models.multi_step.SolarMultiStepGan</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.preflight"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.spatial_solar_models"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.spatial_solar_models</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.spatial_wind_models"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.spatial_wind_models</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.temporal_solar_models"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.temporal_solar_models</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.meta"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.lr_features"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.lr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.hr_out_features"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.idf_wind"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.idf_wind</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.idf_wind_out"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.idf_wind_out</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.idf_solar"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.idf_solar</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.generate"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.generate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.temporal_pad"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.temporal_pad()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.load"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.get_s_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.get_s_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.get_t_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.get_t_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.input_dims"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.input_dims</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.input_resolution"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.input_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.is_4d"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.is_4d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.is_5d"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.is_5d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.means"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.means</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.model_params"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.model_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.models"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.models</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.output_resolution"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.output_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.s_enhance"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.s_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.s_enhancements"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.s_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.save_params"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.save_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.seed"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.seed()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.set_model_params"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.set_model_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.smoothed_features"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.smoothed_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.smoothing"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.smoothing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.stdevs"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.stdevs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.t_enhance"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.t_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.t_enhancements"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.t_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.version_record"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.version_record</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-models-multi-step-solarmultistepgan">
+<h1>sup3r.models.multi_step.SolarMultiStepGan<a class="headerlink" href="#sup3r-models-multi-step-solarmultistepgan" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">SolarMultiStepGan</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spatial_solar_models</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spatial_wind_models</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_solar_models</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/multi_step.html#SolarMultiStepGan"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan" title="sup3r.models.multi_step.MultiStepGan"><code class="xref py py-class docutils literal notranslate"><span class="pre">MultiStepGan</span></code></a></p>
+<p>Special multi step model for solar clearsky ratio super resolution.</p>
+<p>This model takes in two parallel models for wind-only and solar-only
+spatial super resolutions, then combines them into a 3-channel
+high-spatial-resolution input (clearsky_ratio, u_200m, v_200m) for a solar
+temporal super resolution model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>spatial_solar_models</strong> (<em>MultiStepGan</em>) – A loaded MultiStepGan object representing the one or more spatial
+super resolution steps in this composite MultiStepGan
+model that inputs and outputs clearsky_ratio</p></li>
+<li><p><strong>spatial_wind_models</strong> (<em>MultiStepGan</em>) – A loaded MultiStepGan object representing the one or more spatial
+super resolution steps in this composite MultiStepGan
+model that inputs and outputs wind u/v features and must include
+u_200m + v_200m as output features.</p></li>
+<li><p><strong>temporal_solar_models</strong> (<em>MultiStepGan</em>) – A loaded MultiStepGan object representing the one or more
+(spatio)temporal super resolution steps in this composite
+SolarMultiStepGan model. This is the final step in the custom solar
+downscaling methodology.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int | None</em>) – Optional argument to fix or update the temporal enhancement of the
+model. This can be used to manipulate the output shape to match
+whatever padded shape the sup3r forward pass module expects. If
+this differs from the t_enhance value based on model layers the
+output will be padded so that the output shape matches low_res *
+t_enhance for the time dimension.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.generate" title="sup3r.models.multi_step.SolarMultiStepGan.generate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">generate</span></code></a>(low_res[, norm_in, un_norm_out, ...])</p></td>
+<td><p>Use the generator model to generate high res data from low res input.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.get_s_enhance_from_layers" title="sup3r.models.multi_step.SolarMultiStepGan.get_s_enhance_from_layers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_s_enhance_from_layers</span></code></a>()</p></td>
+<td><p>Compute factor by which model will enhance spatial resolution from layer attributes.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.get_t_enhance_from_layers" title="sup3r.models.multi_step.SolarMultiStepGan.get_t_enhance_from_layers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_t_enhance_from_layers</span></code></a>()</p></td>
+<td><p>Compute factor by which model will enhance temporal resolution from layer attributes.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.load" title="sup3r.models.multi_step.SolarMultiStepGan.load"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load</span></code></a>(spatial_solar_model_dirs, ...[, ...])</p></td>
+<td><p>Load the GANs with its sub-networks from a previously saved-to output directory.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.preflight" title="sup3r.models.multi_step.SolarMultiStepGan.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run some preflight checks to make sure the loaded models can work together.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.save_params" title="sup3r.models.multi_step.SolarMultiStepGan.save_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save_params</span></code></a>(out_dir)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.seed" title="sup3r.models.multi_step.SolarMultiStepGan.seed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">seed</span></code></a>([s])</p></td>
+<td><p>Set the random seed for reproducible results.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.set_model_params" title="sup3r.models.multi_step.SolarMultiStepGan.set_model_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_model_params</span></code></a>(**kwargs)</p></td>
+<td><p>Set parameters used for training the model</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.temporal_pad" title="sup3r.models.multi_step.SolarMultiStepGan.temporal_pad"><code class="xref py py-obj docutils literal notranslate"><span class="pre">temporal_pad</span></code></a>(low_res, hi_res[, mode])</p></td>
+<td><p>Optionally add temporal padding to the 5D generated output array</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.hr_exo_features" title="sup3r.models.multi_step.SolarMultiStepGan.hr_exo_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_exo_features</span></code></a></p></td>
+<td><p>Get list of high-resolution exogenous filter names the model uses.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.hr_out_features" title="sup3r.models.multi_step.SolarMultiStepGan.hr_out_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_out_features</span></code></a></p></td>
+<td><p>Get the list of output feature names that the last solar spatiotemporal generative model in this SolarMultiStepGan outputs.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.idf_solar" title="sup3r.models.multi_step.SolarMultiStepGan.idf_solar"><code class="xref py py-obj docutils literal notranslate"><span class="pre">idf_solar</span></code></a></p></td>
+<td><p>Get an array of feature indices for the subset of features required for the spatial_solar_models.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.idf_wind" title="sup3r.models.multi_step.SolarMultiStepGan.idf_wind"><code class="xref py py-obj docutils literal notranslate"><span class="pre">idf_wind</span></code></a></p></td>
+<td><p>Get an array of feature indices for the subset of features required for the spatial_wind_models.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.idf_wind_out" title="sup3r.models.multi_step.SolarMultiStepGan.idf_wind_out"><code class="xref py py-obj docutils literal notranslate"><span class="pre">idf_wind_out</span></code></a></p></td>
+<td><p>Get an array of spatial_wind_models output feature indices that are required for input to the temporal_solar_models.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.input_dims" title="sup3r.models.multi_step.SolarMultiStepGan.input_dims"><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_dims</span></code></a></p></td>
+<td><p>Get dimension of model generator input.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.input_resolution" title="sup3r.models.multi_step.SolarMultiStepGan.input_resolution"><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_resolution</span></code></a></p></td>
+<td><p>Resolution of input data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.is_4d" title="sup3r.models.multi_step.SolarMultiStepGan.is_4d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_4d</span></code></a></p></td>
+<td><p>Check if model expects spatial only input</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.is_5d" title="sup3r.models.multi_step.SolarMultiStepGan.is_5d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_5d</span></code></a></p></td>
+<td><p>Check if model expects spatiotemporal input</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.lr_features" title="sup3r.models.multi_step.SolarMultiStepGan.lr_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_features</span></code></a></p></td>
+<td><p>Get a list of low-resolution features input to the generative model.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.means" title="sup3r.models.multi_step.SolarMultiStepGan.means"><code class="xref py py-obj docutils literal notranslate"><span class="pre">means</span></code></a></p></td>
+<td><p>Get the data normalization mean values.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.meta" title="sup3r.models.multi_step.SolarMultiStepGan.meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meta</span></code></a></p></td>
+<td><p>Get a tuple of meta data dictionaries for all models</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.model_params" title="sup3r.models.multi_step.SolarMultiStepGan.model_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">model_params</span></code></a></p></td>
+<td><p>Get a tuple of model parameters for all models</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.models" title="sup3r.models.multi_step.SolarMultiStepGan.models"><code class="xref py py-obj docutils literal notranslate"><span class="pre">models</span></code></a></p></td>
+<td><p>Get an ordered tuple of the Sup3rGan models that are part of this MultiStepGan</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.output_resolution" title="sup3r.models.multi_step.SolarMultiStepGan.output_resolution"><code class="xref py py-obj docutils literal notranslate"><span class="pre">output_resolution</span></code></a></p></td>
+<td><p>Resolution of output data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.s_enhance" title="sup3r.models.multi_step.SolarMultiStepGan.s_enhance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhance</span></code></a></p></td>
+<td><p>Factor by which model will enhance spatial resolution.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.s_enhancements" title="sup3r.models.multi_step.SolarMultiStepGan.s_enhancements"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhancements</span></code></a></p></td>
+<td><p>List of spatial enhancement factors.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.smoothed_features" title="sup3r.models.multi_step.SolarMultiStepGan.smoothed_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">smoothed_features</span></code></a></p></td>
+<td><p>Get the list of smoothed input feature names that the generative model was trained on.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.smoothing" title="sup3r.models.multi_step.SolarMultiStepGan.smoothing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">smoothing</span></code></a></p></td>
+<td><p>Value of smoothing parameter used in gaussian filtering of coarsened high res data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.spatial_solar_models" title="sup3r.models.multi_step.SolarMultiStepGan.spatial_solar_models"><code class="xref py py-obj docutils literal notranslate"><span class="pre">spatial_solar_models</span></code></a></p></td>
+<td><p>Get the MultiStepGan object for the spatial-only solar model(s)</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.spatial_wind_models" title="sup3r.models.multi_step.SolarMultiStepGan.spatial_wind_models"><code class="xref py py-obj docutils literal notranslate"><span class="pre">spatial_wind_models</span></code></a></p></td>
+<td><p>Get the MultiStepGan object for the spatial-only wind model(s)</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.stdevs" title="sup3r.models.multi_step.SolarMultiStepGan.stdevs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stdevs</span></code></a></p></td>
+<td><p>Get the data normalization standard deviation values.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.t_enhance" title="sup3r.models.multi_step.SolarMultiStepGan.t_enhance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhance</span></code></a></p></td>
+<td><p>Factor by which model will enhance temporal resolution.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.t_enhancements" title="sup3r.models.multi_step.SolarMultiStepGan.t_enhancements"><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhancements</span></code></a></p></td>
+<td><p>List of temporal enhancement factors.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.temporal_solar_models" title="sup3r.models.multi_step.SolarMultiStepGan.temporal_solar_models"><code class="xref py py-obj docutils literal notranslate"><span class="pre">temporal_solar_models</span></code></a></p></td>
+<td><p>Get the MultiStepGan object for the (spatio)temporal model(s)</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.multi_step.SolarMultiStepGan.version_record" title="sup3r.models.multi_step.SolarMultiStepGan.version_record"><code class="xref py py-obj docutils literal notranslate"><span class="pre">version_record</span></code></a></p></td>
+<td><p>Get a tuple of version records from all models</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/multi_step.html#SolarMultiStepGan.preflight"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run some preflight checks to make sure the loaded models can work
+together.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.spatial_solar_models">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">spatial_solar_models</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.spatial_solar_models" title="Link to this definition">#</a></dt>
+<dd><p>Get the MultiStepGan object for the spatial-only solar model(s)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>MultiStepGan</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.spatial_wind_models">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">spatial_wind_models</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.spatial_wind_models" title="Link to this definition">#</a></dt>
+<dd><p>Get the MultiStepGan object for the spatial-only wind model(s)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>MultiStepGan</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.temporal_solar_models">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">temporal_solar_models</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.temporal_solar_models" title="Link to this definition">#</a></dt>
+<dd><p>Get the MultiStepGan object for the (spatio)temporal model(s)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>MultiStepGan</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.meta">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">meta</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.meta" title="Link to this definition">#</a></dt>
+<dd><p>Get a tuple of meta data dictionaries for all models</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>tuple</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.lr_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_features</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.lr_features" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of low-resolution features input to the generative model.
+This includes low-resolution features that might be supplied
+exogenously at inference time but that were in the low-res batches
+during training</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.hr_out_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_out_features</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.hr_out_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the list of output feature names that the last solar
+spatiotemporal generative model in this SolarMultiStepGan outputs.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.idf_wind">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">idf_wind</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.idf_wind" title="Link to this definition">#</a></dt>
+<dd><p>Get an array of feature indices for the subset of features required
+for the spatial_wind_models. This excludes topography which is assumed
+to be provided as exogenous_data.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.idf_wind_out">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">idf_wind_out</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.idf_wind_out" title="Link to this definition">#</a></dt>
+<dd><p>Get an array of spatial_wind_models output feature indices that are
+required for input to the temporal_solar_models. Typically this is the
+indices of u_200m + v_200m from the output features of
+spatial_wind_models</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.idf_solar">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">idf_solar</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.idf_solar" title="Link to this definition">#</a></dt>
+<dd><p>Get an array of feature indices for the subset of features required
+for the spatial_solar_models. This excludes topography which is assumed
+to be provided as exogenous_data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.generate">
+<span class="sig-name descname"><span class="pre">generate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_in</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">un_norm_out</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">exogenous_data</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/multi_step.html#SolarMultiStepGan.generate"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.generate" title="Link to this definition">#</a></dt>
+<dd><p>Use the generator model to generate high res data from low res
+input. This is the public generate function.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>low_res</strong> (<em>np.ndarray</em>) – Low-resolution input data to the 1st step spatial GAN, which is a
+4D array of shape: (temporal, spatial_1, spatial_2, n_features).
+This should include all of the <code class="docutils literal notranslate"><span class="pre">self.lr_features</span></code> which is a
+concatenation of both the solar and wind spatial model features.
+The topography feature might be removed from this input and present
+in the exogenous_data input.</p></li>
+<li><p><strong>norm_in</strong> (<em>bool</em>) – Flag to normalize low_res input data if the self.means,
+self.stdevs attributes are available. The generator should always
+received normalized data with mean=0 stdev=1.</p></li>
+<li><p><strong>un_norm_out</strong> (<em>bool</em>) – Flag to un-normalize synthetically generated output data to physical
+units</p></li>
+<li><p><strong>exogenous_data</strong> (<em>ExoData | dict</em>) – <code class="xref py py-class docutils literal notranslate"><span class="pre">ExoData</span></code> object (or dict that will be cast to <cite>ExoData</cite>)
+with data arrays for each exogenous data step. Each array has 3D or
+4D shape:</p>
+<blockquote>
+<div><p>(spatial_1, spatial_2, n_features)
+(temporal, spatial_1, spatial_2, n_features)
+It’s assumed that the spatial_solar_models do not require
+exogenous_data and only use clearsky_ratio.</p>
+</div></blockquote>
+</li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>hi_res</strong> (<em>ndarray</em>) – Synthetically generated high-resolution data output from the 2nd
+step (spatio)temporal GAN with a 5D array shape:
+(1, spatial_1, spatial_2, n_temporal, n_features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.temporal_pad">
+<span class="sig-name descname"><span class="pre">temporal_pad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hi_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'reflect'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/multi_step.html#SolarMultiStepGan.temporal_pad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.temporal_pad" title="Link to this definition">#</a></dt>
+<dd><p>Optionally add temporal padding to the 5D generated output array</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low_res</strong> (<em>np.ndarray</em>) – Low-resolution input data to the 1st step spatial GAN, which is a
+4D array of shape: (temporal, spatial_1, spatial_2, n_features).</p></li>
+<li><p><strong>hi_res</strong> (<em>ndarray</em>) – Synthetically generated high-resolution data output from the 2nd
+step (spatio)temporal GAN with a 5D array shape:
+(1, spatial_1, spatial_2, n_temporal, n_features)</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Padding mode for np.pad()</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>hi_res</strong> (<em>ndarray</em>) – Synthetically generated high-resolution data output from the 2nd
+step (spatio)temporal GAN with a 5D array shape:
+(1, spatial_1, spatial_2, n_temporal, n_features)
+With the temporal axis padded with self._temporal_pad on either
+side.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.load">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spatial_solar_model_dirs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spatial_wind_model_dirs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_solar_model_dirs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/multi_step.html#SolarMultiStepGan.load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.load" title="Link to this definition">#</a></dt>
+<dd><p>Load the GANs with its sub-networks from a previously saved-to
+output directory.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>spatial_solar_model_dirs</strong> (<em>str | list | tuple</em>) – An ordered list/tuple of one or more directories containing trained
++ saved Sup3rGan models created using the Sup3rGan.save() method.
+This must contain only spatial solar models that input/output 4D
+tensors.</p></li>
+<li><p><strong>spatial_wind_model_dirs</strong> (<em>str | list | tuple</em>) – An ordered list/tuple of one or more directories containing trained
++ saved Sup3rGan models created using the Sup3rGan.save() method.
+This must contain only spatial wind models that input/output 4D
+tensors.</p></li>
+<li><p><strong>temporal_solar_model_dirs</strong> (<em>str | list | tuple</em>) – An ordered list/tuple of one or more directories containing trained
++ saved Sup3rGan models created using the Sup3rGan.save() method.
+This must contain only (spatio)temporal solar models that
+input/output 5D tensors that are the concatenated output of the
+spatial_solar_models and the spatial_wind_models.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int | None</em>) – Optional argument to fix or update the temporal enhancement of the
+model. This can be used to manipulate the output shape to match
+whatever padded shape the sup3r forward pass module expects. If
+this differs from the t_enhance value based on model layers the
+output will be padded so that the output shape matches low_res *
+t_enhance for the time dimension.</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to log information about the loaded model.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>SolarMultiStepGan</em>) – Returns a pretrained gan model that was previously saved to
+model_dirs</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.get_s_enhance_from_layers">
+<span class="sig-name descname"><span class="pre">get_s_enhance_from_layers</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.get_s_enhance_from_layers" title="Link to this definition">#</a></dt>
+<dd><p>Compute factor by which model will enhance spatial resolution from
+layer attributes. Used in model training during high res coarsening</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.get_t_enhance_from_layers">
+<span class="sig-name descname"><span class="pre">get_t_enhance_from_layers</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.get_t_enhance_from_layers" title="Link to this definition">#</a></dt>
+<dd><p>Compute factor by which model will enhance temporal resolution from
+layer attributes. Used in model training during high res coarsening</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.hr_exo_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_exo_features</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.hr_exo_features" title="Link to this definition">#</a></dt>
+<dd><p>Get list of high-resolution exogenous filter names the model uses.
+For the multi-step model, each entry in this list corresponds to one of
+the single-step models and is itself a list of hr_exo_features for that
+model.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.input_dims">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">input_dims</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.input_dims" title="Link to this definition">#</a></dt>
+<dd><p>Get dimension of model generator input. This is usually 4D for
+spatial models and 5D for spatiotemporal models. This gives the input
+to the first step if the model is multi-step. Returns 5 for linear
+models.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>int</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.input_resolution">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">input_resolution</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.input_resolution" title="Link to this definition">#</a></dt>
+<dd><p>Resolution of input data. Given as a dictionary
+<code class="docutils literal notranslate"><span class="pre">{'spatial':</span> <span class="pre">'...km',</span> <span class="pre">'temporal':</span> <span class="pre">'...min'}</span></code>. The numbers are
+required to be integers in the units specified. The units are not
+strict as long as the resolution of the exogenous data, when extracting
+exogenous data, is specified in the same units.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.is_4d">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_4d</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.is_4d" title="Link to this definition">#</a></dt>
+<dd><p>Check if model expects spatial only input</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.is_5d">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_5d</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.is_5d" title="Link to this definition">#</a></dt>
+<dd><p>Check if model expects spatiotemporal input</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.means">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">means</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.means" title="Link to this definition">#</a></dt>
+<dd><p>Get the data normalization mean values. This is a tuple of means
+from all models.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>tuple | np.ndarray</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.model_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">model_params</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.model_params" title="Link to this definition">#</a></dt>
+<dd><p>Get a tuple of model parameters for all models</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>tuple</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.models">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">models</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.models" title="Link to this definition">#</a></dt>
+<dd><p>Get an ordered tuple of the Sup3rGan models that are part of this
+MultiStepGan</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.output_resolution">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_resolution</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.output_resolution" title="Link to this definition">#</a></dt>
+<dd><p>Resolution of output data. Given as a dictionary
+{‘spatial’: ‘…km’, ‘temporal’: ‘…min’}. This is computed from the
+input resolution and the enhancement factors.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.s_enhance">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_enhance</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.s_enhance" title="Link to this definition">#</a></dt>
+<dd><p>Factor by which model will enhance spatial resolution. Used in
+model training during high res coarsening and also in forward pass
+routine to determine shape of needed exogenous data</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.s_enhancements">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_enhancements</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.s_enhancements" title="Link to this definition">#</a></dt>
+<dd><p>List of spatial enhancement factors. In the case of a single step
+model this is just <code class="docutils literal notranslate"><span class="pre">[self.s_enhance]</span></code>. This is used to determine
+shapes of needed exogenous data in forward pass routine</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.save_params">
+<span class="sig-name descname"><span class="pre">save_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.save_params" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>out_dir</strong> (<em>str</em>) – Directory to save linear model params. This directory will be
+created if it does not already exist.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.seed">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">seed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.seed" title="Link to this definition">#</a></dt>
+<dd><p>Set the random seed for reproducible results.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>s</strong> (<em>int</em>) – Random seed</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.set_model_params">
+<span class="sig-name descname"><span class="pre">set_model_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.set_model_params" title="Link to this definition">#</a></dt>
+<dd><p>Set parameters used for training the model</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>kwargs</strong> (<em>dict</em>) – Keyword arguments including ‘input_resolution’,
+‘lr_features’, ‘hr_exo_features’, ‘hr_out_features’,
+‘smoothed_features’, ‘s_enhance’, ‘t_enhance’, ‘smoothing’</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.smoothed_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">smoothed_features</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.smoothed_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the list of smoothed input feature names that the generative
+model was trained on.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.smoothing">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">smoothing</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.smoothing" title="Link to this definition">#</a></dt>
+<dd><p>Value of smoothing parameter used in gaussian filtering of coarsened
+high res data.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.stdevs">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">stdevs</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.stdevs" title="Link to this definition">#</a></dt>
+<dd><p>Get the data normalization standard deviation values. This is a
+tuple of stdevs from all models.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>tuple | np.ndarray</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.t_enhance">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">t_enhance</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.t_enhance" title="Link to this definition">#</a></dt>
+<dd><p>Factor by which model will enhance temporal resolution. Used in
+model training during high res coarsening and also in forward pass
+routine to determine shape of needed exogenous data</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.t_enhancements">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">t_enhancements</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.t_enhancements" title="Link to this definition">#</a></dt>
+<dd><p>List of temporal enhancement factors. In the case of a single step
+model this is just <code class="docutils literal notranslate"><span class="pre">[self.t_enhance]</span></code>. This is used to determine
+shapes of needed exogenous data in forward pass routine</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.multi_step.SolarMultiStepGan.version_record">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">version_record</span></span><a class="headerlink" href="#sup3r.models.multi_step.SolarMultiStepGan.version_record" title="Link to this definition">#</a></dt>
+<dd><p>Get a tuple of version records from all models</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>tuple</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
+              
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+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.preflight"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.spatial_solar_models"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.spatial_solar_models</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.spatial_wind_models"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.spatial_wind_models</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.temporal_solar_models"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.temporal_solar_models</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.meta"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.lr_features"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.lr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.hr_out_features"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.idf_wind"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.idf_wind</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.idf_wind_out"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.idf_wind_out</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.idf_solar"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.idf_solar</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.generate"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.generate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.temporal_pad"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.temporal_pad()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.load"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.get_s_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.get_s_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.get_t_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.get_t_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.input_dims"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.input_dims</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.input_resolution"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.input_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.is_4d"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.is_4d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.is_5d"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.is_5d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.means"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.means</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.model_params"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.model_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.models"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.models</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.output_resolution"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.output_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.s_enhance"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.s_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.s_enhancements"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.s_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.save_params"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.save_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.seed"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.seed()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.set_model_params"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.set_model_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.smoothed_features"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.smoothed_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.smoothing"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.smoothing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.stdevs"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.stdevs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.t_enhance"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.t_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.t_enhancements"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.t_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.multi_step.SolarMultiStepGan.version_record"><code class="docutils literal notranslate"><span class="pre">SolarMultiStepGan.version_record</span></code></a></li>
+</ul>
+</li>
+</ul>
+  </nav></div>
+
+</div></div>
+              
+            
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+  <section id="module-sup3r.models.multi_step">
+<span id="sup3r-models-multi-step"></span><h1>sup3r.models.multi_step<a class="headerlink" href="#module-sup3r.models.multi_step" title="Link to this heading">#</a></h1>
+<p>Sup3r multi step model frameworks</p>
+<p>TODO: SolarMultiStepGan can be cleaned up a little with the output padding and
+t_enhance argument moved to SolarCC.</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan" title="sup3r.models.multi_step.MultiStepGan"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MultiStepGan</span></code></a>(models)</p></td>
+<td><p>Multi-Step GAN, which is really just an abstraction layer on top of one or more Sup3rGan models that will perform their forward passes in serial.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan" title="sup3r.models.multi_step.MultiStepSurfaceMetGan"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MultiStepSurfaceMetGan</span></code></a>(models)</p></td>
+<td><p>A two-step GAN where the first step is a spatial-only enhancement on a 4D tensor of near-surface temperature and relative humidity data, and the second step is a (spatio)temporal enhancement on a 5D tensor.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan" title="sup3r.models.multi_step.SolarMultiStepGan"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SolarMultiStepGan</span></code></a>(spatial_solar_models, ...)</p></td>
+<td><p>Special multi step model for solar clearsky ratio super resolution.</p></td>
+</tr>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>sup3r.models.solar_cc.SolarCC</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC"><code class="docutils literal notranslate"><span class="pre">SolarCC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.init_weights"><code class="docutils literal notranslate"><span class="pre">SolarCC.init_weights()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.calc_loss"><code class="docutils literal notranslate"><span class="pre">SolarCC.calc_loss()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.temporal_pad"><code class="docutils literal notranslate"><span class="pre">SolarCC.temporal_pad()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.generate"><code class="docutils literal notranslate"><span class="pre">SolarCC.generate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.load"><code class="docutils literal notranslate"><span class="pre">SolarCC.load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.calc_loss_disc"><code class="docutils literal notranslate"><span class="pre">SolarCC.calc_loss_disc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.calc_loss_gen_advers"><code class="docutils literal notranslate"><span class="pre">SolarCC.calc_loss_gen_advers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.calc_loss_gen_content"><code class="docutils literal notranslate"><span class="pre">SolarCC.calc_loss_gen_content()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.calc_val_loss"><code class="docutils literal notranslate"><span class="pre">SolarCC.calc_val_loss()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.check_batch_handler_attrs"><code class="docutils literal notranslate"><span class="pre">SolarCC.check_batch_handler_attrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.dict_to_tensorboard"><code class="docutils literal notranslate"><span class="pre">SolarCC.dict_to_tensorboard()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.discriminate"><code class="docutils literal notranslate"><span class="pre">SolarCC.discriminate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.discriminator"><code class="docutils literal notranslate"><span class="pre">SolarCC.discriminator</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.discriminator_weights"><code class="docutils literal notranslate"><span class="pre">SolarCC.discriminator_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.early_stop"><code class="docutils literal notranslate"><span class="pre">SolarCC.early_stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.finish_epoch"><code class="docutils literal notranslate"><span class="pre">SolarCC.finish_epoch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.generator"><code class="docutils literal notranslate"><span class="pre">SolarCC.generator</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.generator_weights"><code class="docutils literal notranslate"><span class="pre">SolarCC.generator_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.get_high_res_exo_input"><code class="docutils literal notranslate"><span class="pre">SolarCC.get_high_res_exo_input()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.get_loss_fun"><code class="docutils literal notranslate"><span class="pre">SolarCC.get_loss_fun()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.get_optimizer_config"><code class="docutils literal notranslate"><span class="pre">SolarCC.get_optimizer_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.get_optimizer_state"><code class="docutils literal notranslate"><span class="pre">SolarCC.get_optimizer_state()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.get_s_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">SolarCC.get_s_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.get_single_grad"><code class="docutils literal notranslate"><span class="pre">SolarCC.get_single_grad()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.get_t_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">SolarCC.get_t_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.get_weight_update_fraction"><code class="docutils literal notranslate"><span class="pre">SolarCC.get_weight_update_fraction()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.history"><code class="docutils literal notranslate"><span class="pre">SolarCC.history</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">SolarCC.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.hr_out_features"><code class="docutils literal notranslate"><span class="pre">SolarCC.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.init_optimizer"><code class="docutils literal notranslate"><span class="pre">SolarCC.init_optimizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.input_dims"><code class="docutils literal notranslate"><span class="pre">SolarCC.input_dims</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.input_resolution"><code class="docutils literal notranslate"><span class="pre">SolarCC.input_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.is_4d"><code class="docutils literal notranslate"><span class="pre">SolarCC.is_4d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.is_5d"><code class="docutils literal notranslate"><span class="pre">SolarCC.is_5d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.load_network"><code class="docutils literal notranslate"><span class="pre">SolarCC.load_network()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.load_saved_params"><code class="docutils literal notranslate"><span class="pre">SolarCC.load_saved_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.log_loss_details"><code class="docutils literal notranslate"><span class="pre">SolarCC.log_loss_details()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.lr_features"><code class="docutils literal notranslate"><span class="pre">SolarCC.lr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.means"><code class="docutils literal notranslate"><span class="pre">SolarCC.means</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.meta"><code class="docutils literal notranslate"><span class="pre">SolarCC.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.model_params"><code class="docutils literal notranslate"><span class="pre">SolarCC.model_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.norm_input"><code class="docutils literal notranslate"><span class="pre">SolarCC.norm_input()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.optimizer"><code class="docutils literal notranslate"><span class="pre">SolarCC.optimizer</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.optimizer_disc"><code class="docutils literal notranslate"><span class="pre">SolarCC.optimizer_disc</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.output_resolution"><code class="docutils literal notranslate"><span class="pre">SolarCC.output_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.profile_to_tensorboard"><code class="docutils literal notranslate"><span class="pre">SolarCC.profile_to_tensorboard()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.run_gradient_descent"><code class="docutils literal notranslate"><span class="pre">SolarCC.run_gradient_descent()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.s_enhance"><code class="docutils literal notranslate"><span class="pre">SolarCC.s_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.s_enhancements"><code class="docutils literal notranslate"><span class="pre">SolarCC.s_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.save"><code class="docutils literal notranslate"><span class="pre">SolarCC.save()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.save_params"><code class="docutils literal notranslate"><span class="pre">SolarCC.save_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.seed"><code class="docutils literal notranslate"><span class="pre">SolarCC.seed()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.set_model_params"><code class="docutils literal notranslate"><span class="pre">SolarCC.set_model_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.set_norm_stats"><code class="docutils literal notranslate"><span class="pre">SolarCC.set_norm_stats()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.smoothed_features"><code class="docutils literal notranslate"><span class="pre">SolarCC.smoothed_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.smoothing"><code class="docutils literal notranslate"><span class="pre">SolarCC.smoothing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.stdevs"><code class="docutils literal notranslate"><span class="pre">SolarCC.stdevs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.t_enhance"><code class="docutils literal notranslate"><span class="pre">SolarCC.t_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.t_enhancements"><code class="docutils literal notranslate"><span class="pre">SolarCC.t_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.total_batches"><code class="docutils literal notranslate"><span class="pre">SolarCC.total_batches</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.train"><code class="docutils literal notranslate"><span class="pre">SolarCC.train()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.train_epoch"><code class="docutils literal notranslate"><span class="pre">SolarCC.train_epoch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.un_norm_output"><code class="docutils literal notranslate"><span class="pre">SolarCC.un_norm_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.update_adversarial_weights"><code class="docutils literal notranslate"><span class="pre">SolarCC.update_adversarial_weights()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.update_loss_details"><code class="docutils literal notranslate"><span class="pre">SolarCC.update_loss_details()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.update_optimizer"><code class="docutils literal notranslate"><span class="pre">SolarCC.update_optimizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.version_record"><code class="docutils literal notranslate"><span class="pre">SolarCC.version_record</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.weights"><code class="docutils literal notranslate"><span class="pre">SolarCC.weights</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-models-solar-cc-solarcc">
+<h1>sup3r.models.solar_cc.SolarCC<a class="headerlink" href="#sup3r-models-solar-cc-solarcc" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">SolarCC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/solar_cc.html#SolarCC"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan" title="sup3r.models.base.Sup3rGan"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rGan</span></code></a></p>
+<p>Solar climate change model.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<dl class="simple">
+<dt><em>Modifications to standard Sup3rGan</em></dt><dd><ul class="simple">
+<li><p>Content loss is only on the n_days of the center 8 daylight hours of
+the daily true+synthetic high res samples</p></li>
+<li><p>Discriminator only sees n_days of the center 8 daylight hours of the
+daily true high res sample.</p></li>
+<li><p>Discriminator sees random n_days of 8-hour samples of the daily
+synthetic high res sample.</p></li>
+<li><p>Includes padding on high resolution output of <a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.generate" title="sup3r.models.solar_cc.SolarCC.generate"><code class="xref py py-meth docutils literal notranslate"><span class="pre">generate()</span></code></a> so
+that forward pass always outputs a multiple of 24 hours.</p></li>
+</ul>
+</dd>
+</dl>
+</div>
+<p>Add optional t_enhance adjustment.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>*args</strong> (<em>list</em>) – List of arguments to parent class</p></li>
+<li><p><strong>t_enhance</strong> (<em>int | None</em>) – Optional argument to fix or update the temporal enhancement of the
+model. This can be used to manipulate the output shape to match
+whatever padded shape the sup3r forward pass module expects. If
+this differs from the t_enhance value based on model layers the
+output will be padded so that the output shape matches low_res *
+t_enhance for the time dimension.</p></li>
+<li><p><strong>**kwargs</strong> (<em>Mappable</em>) – Keyword arguments for parent class</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.calc_loss" title="sup3r.models.solar_cc.SolarCC.calc_loss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calc_loss</span></code></a>(hi_res_true, hi_res_gen[, ...])</p></td>
+<td><p>Calculate the GAN loss function using generated and true high resolution data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.calc_loss_disc" title="sup3r.models.solar_cc.SolarCC.calc_loss_disc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calc_loss_disc</span></code></a>(disc_out_true, disc_out_gen)</p></td>
+<td><p>Calculate the loss term for the discriminator model (either the spatial or temporal discriminator).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.calc_loss_gen_advers" title="sup3r.models.solar_cc.SolarCC.calc_loss_gen_advers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calc_loss_gen_advers</span></code></a>(disc_out_gen)</p></td>
+<td><p>Calculate the adversarial component of the loss term for the generator model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.calc_loss_gen_content" title="sup3r.models.solar_cc.SolarCC.calc_loss_gen_content"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calc_loss_gen_content</span></code></a>(hi_res_true, hi_res_gen)</p></td>
+<td><p>Calculate the content loss term for the generator model.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.calc_val_loss" title="sup3r.models.solar_cc.SolarCC.calc_val_loss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">calc_val_loss</span></code></a>(batch_handler, ...)</p></td>
+<td><p>Calculate the validation loss at the current state of model training</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.check_batch_handler_attrs" title="sup3r.models.solar_cc.SolarCC.check_batch_handler_attrs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_batch_handler_attrs</span></code></a>(batch_handler)</p></td>
+<td><p>Not all batch handlers have the following attributes.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.dict_to_tensorboard" title="sup3r.models.solar_cc.SolarCC.dict_to_tensorboard"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dict_to_tensorboard</span></code></a>(entry)</p></td>
+<td><p>Write data to tensorboard log file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.discriminate" title="sup3r.models.solar_cc.SolarCC.discriminate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">discriminate</span></code></a>(hi_res[, norm_in])</p></td>
+<td><p>Run the discriminator model on a hi resolution input field.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.early_stop" title="sup3r.models.solar_cc.SolarCC.early_stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">early_stop</span></code></a>(history, column[, threshold, n_epoch])</p></td>
+<td><p>Determine whether to stop training early based on nearly no change to validation loss for a certain number of consecutive epochs.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.finish_epoch" title="sup3r.models.solar_cc.SolarCC.finish_epoch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">finish_epoch</span></code></a>(epoch, epochs, t0, ...[, extras])</p></td>
+<td><p>Perform finishing checks after an epoch is done training</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.generate" title="sup3r.models.solar_cc.SolarCC.generate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">generate</span></code></a>(low_res, **kwargs)</p></td>
+<td><p>Override parent method to apply padding on high res output.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.get_high_res_exo_input" title="sup3r.models.solar_cc.SolarCC.get_high_res_exo_input"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_high_res_exo_input</span></code></a>(high_res)</p></td>
+<td><p>Get exogenous feature data from high_res</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.get_loss_fun" title="sup3r.models.solar_cc.SolarCC.get_loss_fun"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_loss_fun</span></code></a>(loss)</p></td>
+<td><p>Get the initialized loss function class from the sup3r loss library or the tensorflow losses.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.get_optimizer_config" title="sup3r.models.solar_cc.SolarCC.get_optimizer_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_optimizer_config</span></code></a>(optimizer)</p></td>
+<td><p>Get a config that defines the current model optimizer</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.get_optimizer_state" title="sup3r.models.solar_cc.SolarCC.get_optimizer_state"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_optimizer_state</span></code></a>(optimizer)</p></td>
+<td><p>Get a set of state variables for the optimizer</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.get_s_enhance_from_layers" title="sup3r.models.solar_cc.SolarCC.get_s_enhance_from_layers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_s_enhance_from_layers</span></code></a>()</p></td>
+<td><p>Compute factor by which model will enhance spatial resolution from layer attributes.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.get_single_grad" title="sup3r.models.solar_cc.SolarCC.get_single_grad"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_single_grad</span></code></a>(low_res, hi_res_true, ...[, ...])</p></td>
+<td><p>Run gradient descent for one mini-batch of (low_res, hi_res_true), do not update weights, just return gradient details.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.get_t_enhance_from_layers" title="sup3r.models.solar_cc.SolarCC.get_t_enhance_from_layers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_t_enhance_from_layers</span></code></a>()</p></td>
+<td><p>Compute factor by which model will enhance temporal resolution from layer attributes.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.get_weight_update_fraction" title="sup3r.models.solar_cc.SolarCC.get_weight_update_fraction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_weight_update_fraction</span></code></a>(history, ...[, ...])</p></td>
+<td><p>Get the factor by which to multiply previous adversarial loss weight</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.init_optimizer" title="sup3r.models.solar_cc.SolarCC.init_optimizer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_optimizer</span></code></a>(optimizer, learning_rate)</p></td>
+<td><p>Initialize keras optimizer object.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.init_weights" title="sup3r.models.solar_cc.SolarCC.init_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_weights</span></code></a>(lr_shape, hr_shape[, device])</p></td>
+<td><p>Initialize the generator and discriminator weights with device placement.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.load" title="sup3r.models.solar_cc.SolarCC.load"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load</span></code></a>(model_dir[, t_enhance, verbose])</p></td>
+<td><p>Load the GAN with its sub-networks from a previously saved-to output directory.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.load_network" title="sup3r.models.solar_cc.SolarCC.load_network"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load_network</span></code></a>(model, name)</p></td>
+<td><p>Load a CustomNetwork object from hidden layers config, .json file config, or .pkl file saved pre-trained model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.load_saved_params" title="sup3r.models.solar_cc.SolarCC.load_saved_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load_saved_params</span></code></a>(out_dir[, verbose])</p></td>
+<td><p>Load saved model_params (you need this and the gen+disc models to load a full model).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.log_loss_details" title="sup3r.models.solar_cc.SolarCC.log_loss_details"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_loss_details</span></code></a>(loss_details[, level])</p></td>
+<td><p>Log the loss details to the module logger.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.norm_input" title="sup3r.models.solar_cc.SolarCC.norm_input"><code class="xref py py-obj docutils literal notranslate"><span class="pre">norm_input</span></code></a>(low_res)</p></td>
+<td><p>Normalize low resolution data being input to the generator.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.profile_to_tensorboard" title="sup3r.models.solar_cc.SolarCC.profile_to_tensorboard"><code class="xref py py-obj docutils literal notranslate"><span class="pre">profile_to_tensorboard</span></code></a>(name)</p></td>
+<td><p>Write profile data to tensorboard log file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.run_gradient_descent" title="sup3r.models.solar_cc.SolarCC.run_gradient_descent"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run_gradient_descent</span></code></a>(low_res, hi_res_true, ...)</p></td>
+<td><p>Run gradient descent for one mini-batch of (low_res, hi_res_true) and update weights</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.save" title="sup3r.models.solar_cc.SolarCC.save"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save</span></code></a>(out_dir)</p></td>
+<td><p>Save the GAN with its sub-networks to a directory.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.save_params" title="sup3r.models.solar_cc.SolarCC.save_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save_params</span></code></a>(out_dir)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.seed" title="sup3r.models.solar_cc.SolarCC.seed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">seed</span></code></a>([s])</p></td>
+<td><p>Set the random seed for reproducible results.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.set_model_params" title="sup3r.models.solar_cc.SolarCC.set_model_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_model_params</span></code></a>(**kwargs)</p></td>
+<td><p>Set parameters used for training the model</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.set_norm_stats" title="sup3r.models.solar_cc.SolarCC.set_norm_stats"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_norm_stats</span></code></a>(new_means, new_stdevs)</p></td>
+<td><p>Set the normalization statistics associated with a data batch handler to model attributes.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.temporal_pad" title="sup3r.models.solar_cc.SolarCC.temporal_pad"><code class="xref py py-obj docutils literal notranslate"><span class="pre">temporal_pad</span></code></a>(low_res, hi_res[, mode])</p></td>
+<td><p>Optionally add temporal padding to the 5D generated output array</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.train" title="sup3r.models.solar_cc.SolarCC.train"><code class="xref py py-obj docutils literal notranslate"><span class="pre">train</span></code></a>(batch_handler, input_resolution, n_epoch)</p></td>
+<td><p>Train the GAN model on real low res data and real high res data</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.train_epoch" title="sup3r.models.solar_cc.SolarCC.train_epoch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">train_epoch</span></code></a>(batch_handler, ...[, multi_gpu])</p></td>
+<td><p>Train the GAN for one epoch.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.un_norm_output" title="sup3r.models.solar_cc.SolarCC.un_norm_output"><code class="xref py py-obj docutils literal notranslate"><span class="pre">un_norm_output</span></code></a>(output)</p></td>
+<td><p>Un-normalize synthetically generated output data to physical units</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.update_adversarial_weights" title="sup3r.models.solar_cc.SolarCC.update_adversarial_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_adversarial_weights</span></code></a>(history, ...)</p></td>
+<td><p>Update spatial / temporal adversarial loss weights based on training fraction history.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.update_loss_details" title="sup3r.models.solar_cc.SolarCC.update_loss_details"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_loss_details</span></code></a>(loss_details, new_data, ...)</p></td>
+<td><p>Update a dictionary of loss_details with loss information from a new batch.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.update_optimizer" title="sup3r.models.solar_cc.SolarCC.update_optimizer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_optimizer</span></code></a>([option])</p></td>
+<td><p>Update optimizer by changing current configuration</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">DAYLIGHT_HOURS</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">STARTING_HOUR</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">STRIDE_LEN</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.discriminator" title="sup3r.models.solar_cc.SolarCC.discriminator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">discriminator</span></code></a></p></td>
+<td><p>Get the discriminator model.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.discriminator_weights" title="sup3r.models.solar_cc.SolarCC.discriminator_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">discriminator_weights</span></code></a></p></td>
+<td><p>Get a list of layer weights and bias terms for the discriminator model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.generator" title="sup3r.models.solar_cc.SolarCC.generator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">generator</span></code></a></p></td>
+<td><p>Get the generative model.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.generator_weights" title="sup3r.models.solar_cc.SolarCC.generator_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">generator_weights</span></code></a></p></td>
+<td><p>Get a list of layer weights and bias terms for the generator model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.history" title="sup3r.models.solar_cc.SolarCC.history"><code class="xref py py-obj docutils literal notranslate"><span class="pre">history</span></code></a></p></td>
+<td><p>Model training history DataFrame (None if not yet trained)</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.hr_exo_features" title="sup3r.models.solar_cc.SolarCC.hr_exo_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_exo_features</span></code></a></p></td>
+<td><p>Get list of high-resolution exogenous filter names the model uses.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.hr_out_features" title="sup3r.models.solar_cc.SolarCC.hr_out_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_out_features</span></code></a></p></td>
+<td><p>Get the list of high-resolution output feature names that the generative model outputs.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.input_dims" title="sup3r.models.solar_cc.SolarCC.input_dims"><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_dims</span></code></a></p></td>
+<td><p>Get dimension of model generator input.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.input_resolution" title="sup3r.models.solar_cc.SolarCC.input_resolution"><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_resolution</span></code></a></p></td>
+<td><p>Resolution of input data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.is_4d" title="sup3r.models.solar_cc.SolarCC.is_4d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_4d</span></code></a></p></td>
+<td><p>Check if model expects spatial only input</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.is_5d" title="sup3r.models.solar_cc.SolarCC.is_5d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_5d</span></code></a></p></td>
+<td><p>Check if model expects spatiotemporal input</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.lr_features" title="sup3r.models.solar_cc.SolarCC.lr_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_features</span></code></a></p></td>
+<td><p>Get a list of low-resolution features input to the generative model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.means" title="sup3r.models.solar_cc.SolarCC.means"><code class="xref py py-obj docutils literal notranslate"><span class="pre">means</span></code></a></p></td>
+<td><p>Get the data normalization mean values.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.meta" title="sup3r.models.solar_cc.SolarCC.meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meta</span></code></a></p></td>
+<td><p>Get meta data dictionary that defines how the model was created</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.model_params" title="sup3r.models.solar_cc.SolarCC.model_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">model_params</span></code></a></p></td>
+<td><p>Model parameters, used to save model to disc</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.optimizer" title="sup3r.models.solar_cc.SolarCC.optimizer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">optimizer</span></code></a></p></td>
+<td><p>Get the tensorflow optimizer to perform gradient descent calculations for the generative network.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.optimizer_disc" title="sup3r.models.solar_cc.SolarCC.optimizer_disc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">optimizer_disc</span></code></a></p></td>
+<td><p>Get the tensorflow optimizer to perform gradient descent calculations for the discriminator network.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.output_resolution" title="sup3r.models.solar_cc.SolarCC.output_resolution"><code class="xref py py-obj docutils literal notranslate"><span class="pre">output_resolution</span></code></a></p></td>
+<td><p>Resolution of output data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.s_enhance" title="sup3r.models.solar_cc.SolarCC.s_enhance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhance</span></code></a></p></td>
+<td><p>Factor by which model will enhance spatial resolution.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.s_enhancements" title="sup3r.models.solar_cc.SolarCC.s_enhancements"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhancements</span></code></a></p></td>
+<td><p>List of spatial enhancement factors.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.smoothed_features" title="sup3r.models.solar_cc.SolarCC.smoothed_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">smoothed_features</span></code></a></p></td>
+<td><p>Get the list of smoothed input feature names that the generative model was trained on.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.smoothing" title="sup3r.models.solar_cc.SolarCC.smoothing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">smoothing</span></code></a></p></td>
+<td><p>Value of smoothing parameter used in gaussian filtering of coarsened high res data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.stdevs" title="sup3r.models.solar_cc.SolarCC.stdevs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stdevs</span></code></a></p></td>
+<td><p>Get the data normalization standard deviation values.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.t_enhance" title="sup3r.models.solar_cc.SolarCC.t_enhance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhance</span></code></a></p></td>
+<td><p>Factor by which model will enhance temporal resolution.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.t_enhancements" title="sup3r.models.solar_cc.SolarCC.t_enhancements"><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhancements</span></code></a></p></td>
+<td><p>List of temporal enhancement factors.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.total_batches" title="sup3r.models.solar_cc.SolarCC.total_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">total_batches</span></code></a></p></td>
+<td><p>Record of total number of batches for logging.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.version_record" title="sup3r.models.solar_cc.SolarCC.version_record"><code class="xref py py-obj docutils literal notranslate"><span class="pre">version_record</span></code></a></p></td>
+<td><p>A record of important versions that this model was built with.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.solar_cc.SolarCC.weights" title="sup3r.models.solar_cc.SolarCC.weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">weights</span></code></a></p></td>
+<td><p>Get a list of all the layer weights and bias terms for the generator and discriminator networks</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.init_weights">
+<span class="sig-name descname"><span class="pre">init_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lr_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hr_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/solar_cc.html#SolarCC.init_weights"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.init_weights" title="Link to this definition">#</a></dt>
+<dd><p>Initialize the generator and discriminator weights with device
+placement.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>lr_shape</strong> (<em>tuple</em>) – Shape of one batch of low res input data for sup3r resolution. Note
+that the batch size (axis=0) must be included, but the actual batch
+size doesn’t really matter.</p></li>
+<li><p><strong>hr_shape</strong> (<em>tuple</em>) – Shape of one batch of high res input data for sup3r resolution.
+Note that the batch size (axis=0) must be included, but the actual
+batch size doesn’t really matter.</p></li>
+<li><p><strong>device</strong> (<em>str | None</em>) – Option to place model weights on a device. If None,
+self.default_device will be used.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.calc_loss">
+<span class="sig-name descname"><span class="pre">calc_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hi_res_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hi_res_gen</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weight_gen_advers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.001</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_gen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_disc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/solar_cc.html#SolarCC.calc_loss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.calc_loss" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the GAN loss function using generated and true high
+resolution data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>hi_res_true</strong> (<em>tf.Tensor</em>) – Ground truth high resolution spatiotemporal data.</p></li>
+<li><p><strong>hi_res_gen</strong> (<em>tf.Tensor</em>) – Super-resolved high resolution spatiotemporal data generated by the
+generative model.</p></li>
+<li><p><strong>weight_gen_advers</strong> (<em>float</em>) – Weight factor for the adversarial loss component of the generator
+vs. the discriminator.</p></li>
+<li><p><strong>train_gen</strong> (<em>bool</em>) – True if generator is being trained, then loss=loss_gen</p></li>
+<li><p><strong>train_disc</strong> (<em>bool</em>) – True if disc is being trained, then loss=loss_disc</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>loss</strong> (<em>tf.Tensor</em>) – 0D tensor representing the loss value for the network being trained
+(either generator or one of the discriminators)</p></li>
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.temporal_pad">
+<span class="sig-name descname"><span class="pre">temporal_pad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hi_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'reflect'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/solar_cc.html#SolarCC.temporal_pad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.temporal_pad" title="Link to this definition">#</a></dt>
+<dd><p>Optionally add temporal padding to the 5D generated output array</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low_res</strong> (<em>np.ndarray</em>) – Low-resolution input data to the spatio(temporal) GAN, which is a
+5D array of shape: (1, spatial_1, spatial_2, n_temporal,
+n_features).</p></li>
+<li><p><strong>hi_res</strong> (<em>ndarray</em>) – Synthetically generated high-resolution data output from the
+(spatio)temporal GAN with a 5D array shape:
+(1, spatial_1, spatial_2, n_temporal, n_features)</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Padding mode for np.pad()</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>hi_res</strong> (<em>ndarray</em>) – Synthetically generated high-resolution data output from the
+(spatio)temporal GAN with a 5D array shape:
+(1, spatial_1, spatial_2, n_temporal, n_features)
+With the temporal axis padded with self._temporal_pad on either
+side.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.generate">
+<span class="sig-name descname"><span class="pre">generate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/solar_cc.html#SolarCC.generate"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.generate" title="Link to this definition">#</a></dt>
+<dd><p>Override parent method to apply padding on high res output.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.load">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_dir</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/solar_cc.html#SolarCC.load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.load" title="Link to this definition">#</a></dt>
+<dd><p>Load the GAN with its sub-networks from a previously saved-to output
+directory.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>model_dir</strong> (<em>str</em>) – Directory to load GAN model files from.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int | None</em>) – Optional argument to fix or update the temporal enhancement of the
+model. This can be used to manipulate the output shape to match
+whatever padded shape the sup3r forward pass module expects. If
+this differs from the t_enhance value based on model layers the
+output will be padded so that the output shape matches low_res *
+t_enhance for the time dimension.</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to log information about the loaded model.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>BaseModel</em>) – Returns a pretrained gan model that was previously saved to out_dir</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.calc_loss_disc">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">calc_loss_disc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">disc_out_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">disc_out_gen</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.calc_loss_disc" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the loss term for the discriminator model (either the
+spatial or temporal discriminator).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>disc_out_true</strong> (<em>tf.Tensor</em>) – Raw discriminator outputs from the discriminator model predicting
+only on ground truth data hi_res_true (not on hi_res_gen).</p></li>
+<li><p><strong>disc_out_gen</strong> (<em>tf.Tensor</em>) – Raw discriminator outputs from the discriminator model predicting
+only on synthetic data hi_res_gen (not on hi_res_true).</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_disc</strong> (<em>tf.Tensor</em>) – 0D tensor discriminator model loss for either the spatial or
+temporal component of the super resolution generated output.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.calc_loss_gen_advers">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">calc_loss_gen_advers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">disc_out_gen</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.calc_loss_gen_advers" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the adversarial component of the loss term for the
+generator model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>disc_out_gen</strong> (<em>tf.Tensor</em>) – Raw discriminator outputs from the discriminator model
+predicting only on hi_res_gen (not on hi_res_true).</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_gen_advers</strong> (<em>tf.Tensor</em>) – 0D tensor generator model loss for the adversarial component of the
+generator loss term.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.calc_loss_gen_content">
+<span class="sig-name descname"><span class="pre">calc_loss_gen_content</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hi_res_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hi_res_gen</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.calc_loss_gen_content" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the content loss term for the generator model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>hi_res_true</strong> (<em>tf.Tensor</em>) – Ground truth high resolution spatiotemporal data.</p></li>
+<li><p><strong>hi_res_gen</strong> (<em>tf.Tensor</em>) – Superresolved high resolution spatiotemporal data generated by the
+generative model.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_gen_s</strong> (<em>tf.Tensor</em>) – 0D tensor generator model loss for the content loss comparing the
+hi res ground truth to the hi res synthetically generated output.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.calc_val_loss">
+<span class="sig-name descname"><span class="pre">calc_val_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weight_gen_advers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">loss_details</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.calc_val_loss" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the validation loss at the current state of model training</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>batch_handler</strong> (<em>sup3r.preprocessing.BatchHandler</em>) – BatchHandler object to iterate through</p></li>
+<li><p><strong>weight_gen_advers</strong> (<em>float</em>) – Weight factor for the adversarial loss component of the generator
+vs. the discriminator.</p></li>
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_details</strong> (<em>dict</em>) – Same as input but now includes val_* loss info</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.check_batch_handler_attrs">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">check_batch_handler_attrs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_handler</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.check_batch_handler_attrs" title="Link to this definition">#</a></dt>
+<dd><p>Not all batch handlers have the following attributes. So we perform
+some sanitation before sending to <cite>set_model_params</cite></p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.dict_to_tensorboard">
+<span class="sig-name descname"><span class="pre">dict_to_tensorboard</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">entry</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.dict_to_tensorboard" title="Link to this definition">#</a></dt>
+<dd><p>Write data to tensorboard log file. This is usually a loss_details
+dictionary.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>entry</strong> (<em>dict</em>) – Dictionary of values to write to tensorboard log file</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.discriminate">
+<span class="sig-name descname"><span class="pre">discriminate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hi_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_in</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.discriminate" title="Link to this definition">#</a></dt>
+<dd><p>Run the discriminator model on a hi resolution input field.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>hi_res</strong> (<em>np.ndarray</em>) – Real or fake high res data in a 4D or 5D tensor:
+(n_obs, spatial_1, spatial_2, n_features)
+(n_obs, spatial_1, spatial_2, n_temporal, n_features)</p></li>
+<li><p><strong>norm_in</strong> (<em>bool</em>) – Flag to normalize low_res input data if the self._means,
+self._stdevs attributes are available. The disc should always
+received normalized data with mean=0 stdev=1.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>np.ndarray</em>) – Discriminator output logits</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.discriminator">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">discriminator</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.discriminator" title="Link to this definition">#</a></dt>
+<dd><p>Get the discriminator model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>phygnn.base.CustomNetwork</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.discriminator_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">discriminator_weights</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.discriminator_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of layer weights and bias terms for the discriminator
+model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>list</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.early_stop">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">early_stop</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">history</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.005</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.early_stop" title="Link to this definition">#</a></dt>
+<dd><p>Determine whether to stop training early based on nearly no change
+to validation loss for a certain number of consecutive epochs.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>history</strong> (<em>pd.DataFrame | None</em>) – Model training history</p></li>
+<li><p><strong>column</strong> (<em>str</em>) – Column from the model training history to evaluate for early
+termination.</p></li>
+<li><p><strong>threshold</strong> (<em>float</em>) – The absolute relative fractional difference in validation loss
+between subsequent epochs below which an early termination is
+warranted. E.g. if val losses were 0.1 and 0.0998 the relative
+diff would be calculated as 0.0002 / 0.1 = 0.002 which would be
+less than the default thresold of 0.01 and would satisfy the
+condition for early termination.</p></li>
+<li><p><strong>n_epoch</strong> (<em>int</em>) – The number of consecutive epochs that satisfy the threshold that
+warrants an early stop.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>stop</strong> (<em>bool</em>) – Flag to stop training (True) or keep going (False).</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.finish_epoch">
+<span class="sig-name descname"><span class="pre">finish_epoch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epochs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">loss_details</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint_int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_on</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_threshold</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_n_epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extras</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.finish_epoch" title="Link to this definition">#</a></dt>
+<dd><p>Perform finishing checks after an epoch is done training</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>epoch</strong> (<em>int</em>) – Epoch number that is finishing</p></li>
+<li><p><strong>epochs</strong> (<em>list</em>) – List of epochs being iterated through</p></li>
+<li><p><strong>t0</strong> (<em>float</em>) – Starting time of training.</p></li>
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p></li>
+<li><p><strong>checkpoint_int</strong> (<em>int | None</em>) – Epoch interval at which to save checkpoint models.</p></li>
+<li><p><strong>out_dir</strong> (<em>str</em>) – Directory to save checkpoint models. Should have {epoch} in
+the directory name. This directory will be created if it does not
+already exist.</p></li>
+<li><p><strong>early_stop_on</strong> (<em>str | None</em>) – If not None, this should be a column in the training history to
+evaluate for early stopping (e.g. validation_loss_gen,
+validation_loss_disc). If this value in this history decreases by
+an absolute fractional relative difference of less than 0.01 for
+more than 5 epochs in a row, the training will stop early.</p></li>
+<li><p><strong>early_stop_threshold</strong> (<em>float</em>) – The absolute relative fractional difference in validation loss
+between subsequent epochs below which an early termination is
+warranted. E.g. if val losses were 0.1 and 0.0998 the relative
+diff would be calculated as 0.0002 / 0.1 = 0.002 which would be
+less than the default thresold of 0.01 and would satisfy the
+condition for early termination.</p></li>
+<li><p><strong>early_stop_n_epoch</strong> (<em>int</em>) – The number of consecutive epochs that satisfy the threshold that
+warrants an early stop.</p></li>
+<li><p><strong>extras</strong> (<em>dict | None</em>) – Extra kwargs/parameters to save in the epoch history.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>stop</strong> (<em>bool</em>) – Flag to early stop training.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.generator">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">generator</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.generator" title="Link to this definition">#</a></dt>
+<dd><p>Get the generative model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>phygnn.base.CustomNetwork</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.generator_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">generator_weights</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.generator_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of layer weights and bias terms for the generator model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>list</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.get_high_res_exo_input">
+<span class="sig-name descname"><span class="pre">get_high_res_exo_input</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.get_high_res_exo_input" title="Link to this definition">#</a></dt>
+<dd><p>Get exogenous feature data from high_res</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>high_res</strong> (<em>tf.Tensor</em>) – Ground truth high resolution spatiotemporal data.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>exo_data</strong> (<em>dict</em>) – Dictionary of exogenous feature data used as input to tf_generate.
+e.g. <code class="docutils literal notranslate"><span class="pre">{'topography':</span> <span class="pre">tf.Tensor(...)}</span></code></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.get_loss_fun">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_loss_fun</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">loss</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.get_loss_fun" title="Link to this definition">#</a></dt>
+<dd><p>Get the initialized loss function class from the sup3r loss library
+or the tensorflow losses.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>loss</strong> (<em>str | dict</em>) – Loss function class name from sup3r.utilities.loss_metrics
+(prioritized) or tensorflow.keras.losses. Defaults to
+tf.keras.losses.MeanSquaredError. This can be provided as a dict
+with kwargs for loss functions with extra parameters.
+e.g. {‘SpatialExtremesLoss’: {‘weight’: 0.5}}</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>tf.keras.losses.Loss</em>) – Initialized loss function class that is callable, e.g. if
+“MeanSquaredError” is requested, this will return
+an instance of tf.keras.losses.MeanSquaredError()</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.get_optimizer_config">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_optimizer_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">optimizer</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.get_optimizer_config" title="Link to this definition">#</a></dt>
+<dd><p>Get a config that defines the current model optimizer</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer</em>) – TF-Keras optimizer object (e.g., Adam)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>config</strong> (<em>dict</em>) – Optimizer config</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.get_optimizer_state">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_optimizer_state</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">optimizer</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.get_optimizer_state" title="Link to this definition">#</a></dt>
+<dd><p>Get a set of state variables for the optimizer</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer</em>) – TF-Keras optimizer object (e.g., Adam)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>state</strong> (<em>dict</em>) – Optimizer state variables</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.get_s_enhance_from_layers">
+<span class="sig-name descname"><span class="pre">get_s_enhance_from_layers</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.get_s_enhance_from_layers" title="Link to this definition">#</a></dt>
+<dd><p>Compute factor by which model will enhance spatial resolution from
+layer attributes. Used in model training during high res coarsening</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.get_single_grad">
+<span class="sig-name descname"><span class="pre">get_single_grad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hi_res_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_weights</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">calc_loss_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.get_single_grad" title="Link to this definition">#</a></dt>
+<dd><p>Run gradient descent for one mini-batch of (low_res, hi_res_true),
+do not update weights, just return gradient details.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low_res</strong> (<em>np.ndarray</em>) – Real low-resolution data in a 4D or 5D array:
+(n_observations, spatial_1, spatial_2, features)
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>hi_res_true</strong> (<em>np.ndarray</em>) – Real high-resolution data in a 4D or 5D array:
+(n_observations, spatial_1, spatial_2, features)
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>training_weights</strong> (<em>list</em>) – A list of layer weights that are to-be-trained based on the
+current loss weight values.</p></li>
+<li><p><strong>device_name</strong> (<em>None | str</em>) – Optional tensorflow device name for GPU placement. Note that if a
+GPU is available, variables will be placed on that GPU even if
+device_name=None.</p></li>
+<li><p><strong>calc_loss_kwargs</strong> (<em>dict</em>) – Kwargs to pass to the self.calc_loss() method</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>grad</strong> (<em>list</em>) – a list or nested structure of Tensors (or IndexedSlices, or None,
+or CompositeTensor) representing the gradients for the
+training_weights</p></li>
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.get_t_enhance_from_layers">
+<span class="sig-name descname"><span class="pre">get_t_enhance_from_layers</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.get_t_enhance_from_layers" title="Link to this definition">#</a></dt>
+<dd><p>Compute factor by which model will enhance temporal resolution from
+layer attributes. Used in model training during high res coarsening</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.get_weight_update_fraction">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_weight_update_fraction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">history</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">comparison_key</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">update_bounds</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(0.5,</span> <span class="pre">0.95)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">update_frac</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.get_weight_update_fraction" title="Link to this definition">#</a></dt>
+<dd><p>Get the factor by which to multiply previous adversarial loss
+weight</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>history</strong> (<em>dict</em>) – Dictionary with information on how often discriminators
+were trained during previous epoch.</p></li>
+<li><p><strong>comparison_key</strong> (<em>str</em>) – history key to use for update check</p></li>
+<li><p><strong>update_bounds</strong> (<em>tuple</em>) – Tuple specifying allowed range for history[comparison_key]. If
+history[comparison_key] &lt; update_bounds[0] then the weight will be
+increased by (1 + update_frac). If history[comparison_key] &gt;
+update_bounds[1] then the weight will be decreased by 1 / (1 +
+update_frac).</p></li>
+<li><p><strong>update_frac</strong> (<em>float</em>) – Fraction by which to increase/decrease adversarial loss weight</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>float</em> – Factor by which to multiply old weight to get updated weight</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.history">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">history</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.history" title="Link to this definition">#</a></dt>
+<dd><p>Model training history DataFrame (None if not yet trained)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>pandas.DataFrame | None</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.hr_exo_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_exo_features</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.hr_exo_features" title="Link to this definition">#</a></dt>
+<dd><p>Get list of high-resolution exogenous filter names the model uses.
+If the model has N concat or add layers this list will be the last N
+features in the training features list. The ordering is assumed to be
+the same as the order of concat or add layers. If training features is
+[…, topo, sza], and the model has 2 concat or add layers, exo
+features will be [topo, sza]. Topo will then be used in the first
+concat layer and sza will be used in the second</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.hr_out_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_out_features</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.hr_out_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the list of high-resolution output feature names that the
+generative model outputs.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.init_optimizer">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">init_optimizer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">optimizer</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">learning_rate</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.init_optimizer" title="Link to this definition">#</a></dt>
+<dd><p>Initialize keras optimizer object.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer | dict | None | str</em>) – Instantiated tf.keras.optimizers object or a dict optimizer config
+from tf.keras.optimizers.get_config(). None defaults to Adam.</p></li>
+<li><p><strong>learning_rate</strong> (<em>float, optional</em>) – Optimizer learning rate. Not used if optimizer input arg is a
+pre-initialized object or if optimizer input arg is a config dict.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer</em>) – Initialized optimizer object.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.input_dims">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">input_dims</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.input_dims" title="Link to this definition">#</a></dt>
+<dd><p>Get dimension of model generator input. This is usually 4D for
+spatial models and 5D for spatiotemporal models. This gives the input
+to the first step if the model is multi-step. Returns 5 for linear
+models.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>int</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.input_resolution">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">input_resolution</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.input_resolution" title="Link to this definition">#</a></dt>
+<dd><p>Resolution of input data. Given as a dictionary
+<code class="docutils literal notranslate"><span class="pre">{'spatial':</span> <span class="pre">'...km',</span> <span class="pre">'temporal':</span> <span class="pre">'...min'}</span></code>. The numbers are
+required to be integers in the units specified. The units are not
+strict as long as the resolution of the exogenous data, when extracting
+exogenous data, is specified in the same units.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.is_4d">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_4d</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.is_4d" title="Link to this definition">#</a></dt>
+<dd><p>Check if model expects spatial only input</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.is_5d">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_5d</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.is_5d" title="Link to this definition">#</a></dt>
+<dd><p>Check if model expects spatiotemporal input</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.load_network">
+<span class="sig-name descname"><span class="pre">load_network</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.load_network" title="Link to this definition">#</a></dt>
+<dd><p>Load a CustomNetwork object from hidden layers config, .json file
+config, or .pkl file saved pre-trained model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>model</strong> (<em>str | dict</em>) – Model hidden layers config, a .json with “hidden_layers” key, or a
+.pkl for a saved pre-trained model.</p></li>
+<li><p><strong>name</strong> (<em>str</em>) – Name of the model to be loaded</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>model</strong> (<em>phygnn.CustomNetwork</em>) – CustomNetwork object initialized from the model input.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.load_saved_params">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">load_saved_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.load_saved_params" title="Link to this definition">#</a></dt>
+<dd><p>Load saved model_params (you need this and the gen+disc models
+to load a full model).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>out_dir</strong> (<em>str</em>) – Directory to load model files from.</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to log information about the loaded model.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>params</strong> (<em>dict</em>) – Model parameters loaded from disk json file. This should be the
+same as self.model_params with and additional ‘history’ entry.
+Should be all the kwargs you need to init a model.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.log_loss_details">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">log_loss_details</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">loss_details</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">level</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'INFO'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.log_loss_details" title="Link to this definition">#</a></dt>
+<dd><p>Log the loss details to the module logger.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components where each value is a
+running average at the current state in the epoch.</p></li>
+<li><p><strong>level</strong> (<em>str</em>) – Log level (e.g. INFO, DEBUG)</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.lr_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_features</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.lr_features" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of low-resolution features input to the generative model.
+This includes low-resolution features that might be supplied
+exogenously at inference time but that were in the low-res batches
+during training</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.means">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">means</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.means" title="Link to this definition">#</a></dt>
+<dd><p>Get the data normalization mean values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>np.ndarray</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.meta">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">meta</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.meta" title="Link to this definition">#</a></dt>
+<dd><p>Get meta data dictionary that defines how the model was created</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.model_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">model_params</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.model_params" title="Link to this definition">#</a></dt>
+<dd><p>Model parameters, used to save model to disc</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>dict</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.norm_input">
+<span class="sig-name descname"><span class="pre">norm_input</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.norm_input" title="Link to this definition">#</a></dt>
+<dd><p>Normalize low resolution data being input to the generator.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>low_res</strong> (<em>np.ndarray</em>) – Un-normalized low-resolution input data in physical units, usually
+a 4D or 5D array of shape:
+(n_obs, spatial_1, spatial_2, n_features)
+(n_obs, spatial_1, spatial_2, n_temporal, n_features)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>low_res</strong> (<em>np.ndarray</em>) – Normalized low-resolution input data, usually a 4D or 5D array of
+shape:
+(n_obs, spatial_1, spatial_2, n_features)
+(n_obs, spatial_1, spatial_2, n_temporal, n_features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.optimizer">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">optimizer</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.optimizer" title="Link to this definition">#</a></dt>
+<dd><p>Get the tensorflow optimizer to perform gradient descent
+calculations for the generative network. This is functionally identical
+to optimizer_disc is no special optimizer model or learning rate was
+specified for the disc.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>tf.keras.optimizers.Optimizer</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.optimizer_disc">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">optimizer_disc</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.optimizer_disc" title="Link to this definition">#</a></dt>
+<dd><p>Get the tensorflow optimizer to perform gradient descent
+calculations for the discriminator network.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>tf.keras.optimizers.Optimizer</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.output_resolution">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_resolution</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.output_resolution" title="Link to this definition">#</a></dt>
+<dd><p>Resolution of output data. Given as a dictionary
+{‘spatial’: ‘…km’, ‘temporal’: ‘…min’}. This is computed from the
+input resolution and the enhancement factors.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.profile_to_tensorboard">
+<span class="sig-name descname"><span class="pre">profile_to_tensorboard</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.profile_to_tensorboard" title="Link to this definition">#</a></dt>
+<dd><p>Write profile data to tensorboard log file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>name</strong> (<em>str</em>) – Tag name to use for profile info</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.run_gradient_descent">
+<span class="sig-name descname"><span class="pre">run_gradient_descent</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hi_res_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_weights</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">optimizer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">multi_gpu</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">calc_loss_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.run_gradient_descent" title="Link to this definition">#</a></dt>
+<dd><p>Run gradient descent for one mini-batch of (low_res, hi_res_true)
+and update weights</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low_res</strong> (<em>np.ndarray</em>) – Real low-resolution data in a 4D or 5D array:
+(n_observations, spatial_1, spatial_2, features)
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>hi_res_true</strong> (<em>np.ndarray</em>) – Real high-resolution data in a 4D or 5D array:
+(n_observations, spatial_1, spatial_2, features)
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>training_weights</strong> (<em>list</em>) – A list of layer weights that are to-be-trained based on the
+current loss weight values.</p></li>
+<li><p><strong>optimizer</strong> (<em>tf.keras.optimizers.Optimizer</em>) – Optimizer class to use to update weights. This can be different if
+you’re training just the generator or one of the discriminator
+models. Defaults to the generator optimizer.</p></li>
+<li><p><strong>multi_gpu</strong> (<em>bool</em>) – Flag to break up the batch for parallel gradient descent
+calculations on multiple gpus. If True and multiple GPUs are
+present, each batch from the batch_handler will be divided up
+between the GPUs and the resulting gradient from each GPU will
+constitute a single gradient descent step with the nominal learning
+rate that the model was initialized with.</p></li>
+<li><p><strong>calc_loss_kwargs</strong> (<em>dict</em>) – Kwargs to pass to the self.calc_loss() method</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.s_enhance">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_enhance</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.s_enhance" title="Link to this definition">#</a></dt>
+<dd><p>Factor by which model will enhance spatial resolution. Used in
+model training during high res coarsening and also in forward pass
+routine to determine shape of needed exogenous data</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.s_enhancements">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_enhancements</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.s_enhancements" title="Link to this definition">#</a></dt>
+<dd><p>List of spatial enhancement factors. In the case of a single step
+model this is just <code class="docutils literal notranslate"><span class="pre">[self.s_enhance]</span></code>. This is used to determine
+shapes of needed exogenous data in forward pass routine</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.save">
+<span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.save" title="Link to this definition">#</a></dt>
+<dd><p>Save the GAN with its sub-networks to a directory.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>out_dir</strong> (<em>str</em>) – Directory to save GAN model files. This directory will be created
+if it does not already exist.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.save_params">
+<span class="sig-name descname"><span class="pre">save_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.save_params" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>out_dir</strong> (<em>str</em>) – Directory to save linear model params. This directory will be
+created if it does not already exist.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.seed">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">seed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.seed" title="Link to this definition">#</a></dt>
+<dd><p>Set the random seed for reproducible results.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>s</strong> (<em>int</em>) – Random seed</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.set_model_params">
+<span class="sig-name descname"><span class="pre">set_model_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.set_model_params" title="Link to this definition">#</a></dt>
+<dd><p>Set parameters used for training the model</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>kwargs</strong> (<em>dict</em>) – Keyword arguments including ‘input_resolution’,
+‘lr_features’, ‘hr_exo_features’, ‘hr_out_features’,
+‘smoothed_features’, ‘s_enhance’, ‘t_enhance’, ‘smoothing’</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.set_norm_stats">
+<span class="sig-name descname"><span class="pre">set_norm_stats</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">new_means</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_stdevs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.set_norm_stats" title="Link to this definition">#</a></dt>
+<dd><p>Set the normalization statistics associated with a data batch
+handler to model attributes.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>new_means</strong> (<em>dict | None</em>) – Set of mean values for data normalization keyed by feature name.
+Can be used to maintain a consistent normalization scheme between
+transfer learning domains.</p></li>
+<li><p><strong>new_stdevs</strong> (<em>dict | None</em>) – Set of stdev values for data normalization keyed by feature name.
+Can be used to maintain a consistent normalization scheme between
+transfer learning domains.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.smoothed_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">smoothed_features</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.smoothed_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the list of smoothed input feature names that the generative
+model was trained on.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.smoothing">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">smoothing</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.smoothing" title="Link to this definition">#</a></dt>
+<dd><p>Value of smoothing parameter used in gaussian filtering of coarsened
+high res data.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.stdevs">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">stdevs</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.stdevs" title="Link to this definition">#</a></dt>
+<dd><p>Get the data normalization standard deviation values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>np.ndarray</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.t_enhance">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">t_enhance</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.t_enhance" title="Link to this definition">#</a></dt>
+<dd><p>Factor by which model will enhance temporal resolution. Used in
+model training during high res coarsening and also in forward pass
+routine to determine shape of needed exogenous data</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.t_enhancements">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">t_enhancements</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.t_enhancements" title="Link to this definition">#</a></dt>
+<dd><p>List of temporal enhancement factors. In the case of a single step
+model this is just <code class="docutils literal notranslate"><span class="pre">[self.t_enhance]</span></code>. This is used to determine
+shapes of needed exogenous data in forward pass routine</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.total_batches">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">total_batches</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.total_batches" title="Link to this definition">#</a></dt>
+<dd><p>Record of total number of batches for logging.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.train">
+<span class="sig-name descname"><span class="pre">train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_resolution</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_epoch</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weight_gen_advers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.001</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_gen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_disc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">disc_loss_bounds</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(0.45,</span> <span class="pre">0.6)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">checkpoint_int</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'./gan_{epoch}'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_on</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.005</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">early_stop_n_epoch</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adaptive_update_bounds</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(0.9,</span> <span class="pre">0.99)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adaptive_update_fraction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">multi_gpu</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensorboard_log</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensorboard_profile</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.train" title="Link to this definition">#</a></dt>
+<dd><p>Train the GAN model on real low res data and real high res data</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>batch_handler</strong> (<em>sup3r.preprocessing.BatchHandler</em>) – BatchHandler object to iterate through</p></li>
+<li><p><strong>input_resolution</strong> (<em>dict</em>) – Dictionary specifying spatiotemporal input resolution. e.g.
+{‘temporal’: ‘60min’, ‘spatial’: ‘30km’}</p></li>
+<li><p><strong>n_epoch</strong> (<em>int</em>) – Number of epochs to train on</p></li>
+<li><p><strong>weight_gen_advers</strong> (<em>float</em>) – Weight factor for the adversarial loss component of the generator
+vs. the discriminator.</p></li>
+<li><p><strong>train_gen</strong> (<em>bool</em>) – Flag whether to train the generator for this set of epochs</p></li>
+<li><p><strong>train_disc</strong> (<em>bool</em>) – Flag whether to train the discriminator for this set of epochs</p></li>
+<li><p><strong>disc_loss_bounds</strong> (<em>tuple</em>) – Lower and upper bounds for the discriminator loss outside of which
+the discriminator will not train unless train_disc=True and
+train_gen=False.</p></li>
+<li><p><strong>checkpoint_int</strong> (<em>int | None</em>) – Epoch interval at which to save checkpoint models.</p></li>
+<li><p><strong>out_dir</strong> (<em>str</em>) – Directory to save checkpoint GAN models. Should have {epoch} in
+the directory name. This directory will be created if it does not
+already exist.</p></li>
+<li><p><strong>early_stop_on</strong> (<em>str | None</em>) – If not None, this should be a column in the training history to
+evaluate for early stopping (e.g. validation_loss_gen,
+validation_loss_disc). If this value in this history decreases by
+an absolute fractional relative difference of less than 0.01 for
+more than 5 epochs in a row, the training will stop early.</p></li>
+<li><p><strong>early_stop_threshold</strong> (<em>float</em>) – The absolute relative fractional difference in validation loss
+between subsequent epochs below which an early termination is
+warranted. E.g. if val losses were 0.1 and 0.0998 the relative
+diff would be calculated as 0.0002 / 0.1 = 0.002 which would be
+less than the default thresold of 0.01 and would satisfy the
+condition for early termination.</p></li>
+<li><p><strong>early_stop_n_epoch</strong> (<em>int</em>) – The number of consecutive epochs that satisfy the threshold that
+warrants an early stop.</p></li>
+<li><p><strong>adaptive_update_bounds</strong> (<em>tuple</em>) – Tuple specifying allowed range for loss_details[comparison_key]. If
+history[comparison_key] &lt; threshold_range[0] then the weight will
+be increased by (1 + update_frac). If history[comparison_key] &gt;
+threshold_range[1] then the weight will be decreased by 1 / (1 +
+update_frac).</p></li>
+<li><p><strong>adaptive_update_fraction</strong> (<em>float</em>) – Amount by which to increase or decrease adversarial weights for
+adaptive updates</p></li>
+<li><p><strong>multi_gpu</strong> (<em>bool</em>) – Flag to break up the batch for parallel gradient descent
+calculations on multiple gpus. If True and multiple GPUs are
+present, each batch from the batch_handler will be divided up
+between the GPUs and the resulting gradient from each GPU will
+constitute a single gradient descent step with the nominal learning
+rate that the model was initialized with. If true and multiple gpus
+are found, default_device device should be set to /cpu:0</p></li>
+<li><p><strong>tensorboard_log</strong> (<em>bool</em>) – Whether to write log file for use with tensorboard. Log data can
+be viewed with <code class="docutils literal notranslate"><span class="pre">tensorboard</span> <span class="pre">--logdir</span> <span class="pre">&lt;logdir&gt;</span></code> where <code class="docutils literal notranslate"><span class="pre">&lt;logdir&gt;</span></code>
+is the parent directory of <code class="docutils literal notranslate"><span class="pre">out_dir</span></code>, and pointing the browser to
+the printed address.</p></li>
+<li><p><strong>tensorboard_profile</strong> (<em>bool</em>) – Whether to export profiling information to tensorboard. This can
+then be viewed in the tensorboard dashboard under the profile tab</p></li>
+<li><p><strong>TODO</strong> (<em>(1) args here are getting excessive. Might be time for some</em>)</p></li>
+<li><p><strong>refactoring.</strong></p></li>
+<li><p><strong>(2) cal_val_loss should be done in a separate thread from train_epoch</strong></p></li>
+<li><p><strong>so they can be done concurrently. This would be especially important</strong></p></li>
+<li><p><strong>for batch handlers which require val data, like dc handlers.</strong></p></li>
+<li><p><strong>(3) Would like an automatic way to exit the batch handler thread</strong></p></li>
+<li><p><strong>instead of manually calling .stop() here.</strong></p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.train_epoch">
+<span class="sig-name descname"><span class="pre">train_epoch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weight_gen_advers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_gen</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_disc</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">disc_loss_bounds</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">multi_gpu</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.train_epoch" title="Link to this definition">#</a></dt>
+<dd><p>Train the GAN for one epoch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>batch_handler</strong> (<em>sup3r.preprocessing.BatchHandler</em>) – BatchHandler object to iterate through</p></li>
+<li><p><strong>weight_gen_advers</strong> (<em>float</em>) – Weight factor for the adversarial loss component of the generator
+vs. the discriminator.</p></li>
+<li><p><strong>train_gen</strong> (<em>bool</em>) – Flag whether to train the generator for this set of epochs</p></li>
+<li><p><strong>train_disc</strong> (<em>bool</em>) – Flag whether to train the discriminator for this set of epochs</p></li>
+<li><p><strong>disc_loss_bounds</strong> (<em>tuple</em>) – Lower and upper bounds for the discriminator loss outside of which
+the discriminators will not train unless train_disc=True or
+and train_gen=False.</p></li>
+<li><p><strong>multi_gpu</strong> (<em>bool</em>) – Flag to break up the batch for parallel gradient descent
+calculations on multiple gpus. If True and multiple GPUs are
+present, each batch from the batch_handler will be divided up
+between the GPUs and the resulting gradient from each GPU will
+constitute a single gradient descent step with the nominal learning
+rate that the model was initialized with. If true and multiple gpus
+are found, default_device device should be set to /cpu:0</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.un_norm_output">
+<span class="sig-name descname"><span class="pre">un_norm_output</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">output</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.un_norm_output" title="Link to this definition">#</a></dt>
+<dd><p>Un-normalize synthetically generated output data to physical units</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>output</strong> (<em>tf.Tensor | np.ndarray</em>) – Synthetically generated high-resolution data</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>output</strong> (<em>np.ndarray</em>) – Synthetically generated high-resolution data</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.update_adversarial_weights">
+<span class="sig-name descname"><span class="pre">update_adversarial_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">history</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adaptive_update_fraction</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adaptive_update_bounds</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weight_gen_advers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_disc</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.update_adversarial_weights" title="Link to this definition">#</a></dt>
+<dd><p>Update spatial / temporal adversarial loss weights based on training
+fraction history.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>history</strong> (<em>dict</em>) – Dictionary with information on how often discriminators
+were trained during current and previous epochs.</p></li>
+<li><p><strong>adaptive_update_fraction</strong> (<em>float</em>) – Amount by which to increase or decrease adversarial loss weights
+for adaptive updates</p></li>
+<li><p><strong>adaptive_update_bounds</strong> (<em>tuple</em>) – Tuple specifying allowed range for history[comparison_key]. If
+history[comparison_key] &lt; update_bounds[0] then the weight will be
+increased by (1 + update_frac). If history[comparison_key] &gt;
+update_bounds[1] then the weight will be decreased by 1 / (1 +
+update_frac).</p></li>
+<li><p><strong>weight_gen_advers</strong> (<em>float</em>) – Weight factor for the adversarial loss component of the generator
+vs. the discriminator.</p></li>
+<li><p><strong>train_disc</strong> (<em>bool</em>) – Whether the discriminator was set to be trained during the
+previous epoch</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>weight_gen_advers</strong> (<em>float</em>) – Updated weight factor for the adversarial loss component of the
+generator vs. the discriminator.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.update_loss_details">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">update_loss_details</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">loss_details</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_len</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">prefix</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.update_loss_details" title="Link to this definition">#</a></dt>
+<dd><p>Update a dictionary of loss_details with loss information from a new
+batch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>loss_details</strong> (<em>dict</em>) – Namespace of the breakdown of loss components where each value is a
+running average at the current state in the epoch.</p></li>
+<li><p><strong>new_data</strong> (<em>dict</em>) – Namespace of the breakdown of loss components for a single new
+batch.</p></li>
+<li><p><strong>batch_len</strong> (<em>int</em>) – Length of the incoming batch.</p></li>
+<li><p><strong>prefix</strong> (<em>None | str</em>) – Option to prefix the names of the loss data when saving to the
+loss_details dictionary.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>loss_details</strong> (<em>dict</em>) – Same as input loss_details but with running averages updated.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.update_optimizer">
+<span class="sig-name descname"><span class="pre">update_optimizer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">option</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'generator'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.update_optimizer" title="Link to this definition">#</a></dt>
+<dd><p>Update optimizer by changing current configuration</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>option</strong> (<em>str</em>) – Which optimizer to update. Can be “generator”, “discriminator”, or
+“all”</p></li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – kwargs to use for optimizer configuration update</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.version_record">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">version_record</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.version_record" title="Link to this definition">#</a></dt>
+<dd><p>A record of important versions that this model was built with.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>dict</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.solar_cc.SolarCC.weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">weights</span></span><a class="headerlink" href="#sup3r.models.solar_cc.SolarCC.weights" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of all the layer weights and bias terms for the
+generator and discriminator networks</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
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+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC"><code class="docutils literal notranslate"><span class="pre">SolarCC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.init_weights"><code class="docutils literal notranslate"><span class="pre">SolarCC.init_weights()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.calc_loss"><code class="docutils literal notranslate"><span class="pre">SolarCC.calc_loss()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.temporal_pad"><code class="docutils literal notranslate"><span class="pre">SolarCC.temporal_pad()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.generate"><code class="docutils literal notranslate"><span class="pre">SolarCC.generate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.load"><code class="docutils literal notranslate"><span class="pre">SolarCC.load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.calc_loss_disc"><code class="docutils literal notranslate"><span class="pre">SolarCC.calc_loss_disc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.calc_loss_gen_advers"><code class="docutils literal notranslate"><span class="pre">SolarCC.calc_loss_gen_advers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.calc_loss_gen_content"><code class="docutils literal notranslate"><span class="pre">SolarCC.calc_loss_gen_content()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.calc_val_loss"><code class="docutils literal notranslate"><span class="pre">SolarCC.calc_val_loss()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.check_batch_handler_attrs"><code class="docutils literal notranslate"><span class="pre">SolarCC.check_batch_handler_attrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.dict_to_tensorboard"><code class="docutils literal notranslate"><span class="pre">SolarCC.dict_to_tensorboard()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.discriminate"><code class="docutils literal notranslate"><span class="pre">SolarCC.discriminate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.discriminator"><code class="docutils literal notranslate"><span class="pre">SolarCC.discriminator</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.discriminator_weights"><code class="docutils literal notranslate"><span class="pre">SolarCC.discriminator_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.early_stop"><code class="docutils literal notranslate"><span class="pre">SolarCC.early_stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.finish_epoch"><code class="docutils literal notranslate"><span class="pre">SolarCC.finish_epoch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.generator"><code class="docutils literal notranslate"><span class="pre">SolarCC.generator</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.generator_weights"><code class="docutils literal notranslate"><span class="pre">SolarCC.generator_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.get_high_res_exo_input"><code class="docutils literal notranslate"><span class="pre">SolarCC.get_high_res_exo_input()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.get_loss_fun"><code class="docutils literal notranslate"><span class="pre">SolarCC.get_loss_fun()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.get_optimizer_config"><code class="docutils literal notranslate"><span class="pre">SolarCC.get_optimizer_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.get_optimizer_state"><code class="docutils literal notranslate"><span class="pre">SolarCC.get_optimizer_state()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.get_s_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">SolarCC.get_s_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.get_single_grad"><code class="docutils literal notranslate"><span class="pre">SolarCC.get_single_grad()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.get_t_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">SolarCC.get_t_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.get_weight_update_fraction"><code class="docutils literal notranslate"><span class="pre">SolarCC.get_weight_update_fraction()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.history"><code class="docutils literal notranslate"><span class="pre">SolarCC.history</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">SolarCC.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.hr_out_features"><code class="docutils literal notranslate"><span class="pre">SolarCC.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.init_optimizer"><code class="docutils literal notranslate"><span class="pre">SolarCC.init_optimizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.input_dims"><code class="docutils literal notranslate"><span class="pre">SolarCC.input_dims</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.input_resolution"><code class="docutils literal notranslate"><span class="pre">SolarCC.input_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.is_4d"><code class="docutils literal notranslate"><span class="pre">SolarCC.is_4d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.is_5d"><code class="docutils literal notranslate"><span class="pre">SolarCC.is_5d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.load_network"><code class="docutils literal notranslate"><span class="pre">SolarCC.load_network()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.load_saved_params"><code class="docutils literal notranslate"><span class="pre">SolarCC.load_saved_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.log_loss_details"><code class="docutils literal notranslate"><span class="pre">SolarCC.log_loss_details()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.lr_features"><code class="docutils literal notranslate"><span class="pre">SolarCC.lr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.means"><code class="docutils literal notranslate"><span class="pre">SolarCC.means</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.meta"><code class="docutils literal notranslate"><span class="pre">SolarCC.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.model_params"><code class="docutils literal notranslate"><span class="pre">SolarCC.model_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.norm_input"><code class="docutils literal notranslate"><span class="pre">SolarCC.norm_input()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.optimizer"><code class="docutils literal notranslate"><span class="pre">SolarCC.optimizer</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.optimizer_disc"><code class="docutils literal notranslate"><span class="pre">SolarCC.optimizer_disc</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.output_resolution"><code class="docutils literal notranslate"><span class="pre">SolarCC.output_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.profile_to_tensorboard"><code class="docutils literal notranslate"><span class="pre">SolarCC.profile_to_tensorboard()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.run_gradient_descent"><code class="docutils literal notranslate"><span class="pre">SolarCC.run_gradient_descent()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.s_enhance"><code class="docutils literal notranslate"><span class="pre">SolarCC.s_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.s_enhancements"><code class="docutils literal notranslate"><span class="pre">SolarCC.s_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.save"><code class="docutils literal notranslate"><span class="pre">SolarCC.save()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.save_params"><code class="docutils literal notranslate"><span class="pre">SolarCC.save_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.seed"><code class="docutils literal notranslate"><span class="pre">SolarCC.seed()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.set_model_params"><code class="docutils literal notranslate"><span class="pre">SolarCC.set_model_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.set_norm_stats"><code class="docutils literal notranslate"><span class="pre">SolarCC.set_norm_stats()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.smoothed_features"><code class="docutils literal notranslate"><span class="pre">SolarCC.smoothed_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.smoothing"><code class="docutils literal notranslate"><span class="pre">SolarCC.smoothing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.stdevs"><code class="docutils literal notranslate"><span class="pre">SolarCC.stdevs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.t_enhance"><code class="docutils literal notranslate"><span class="pre">SolarCC.t_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.t_enhancements"><code class="docutils literal notranslate"><span class="pre">SolarCC.t_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.total_batches"><code class="docutils literal notranslate"><span class="pre">SolarCC.total_batches</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.train"><code class="docutils literal notranslate"><span class="pre">SolarCC.train()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.train_epoch"><code class="docutils literal notranslate"><span class="pre">SolarCC.train_epoch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.un_norm_output"><code class="docutils literal notranslate"><span class="pre">SolarCC.un_norm_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.update_adversarial_weights"><code class="docutils literal notranslate"><span class="pre">SolarCC.update_adversarial_weights()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.update_loss_details"><code class="docutils literal notranslate"><span class="pre">SolarCC.update_loss_details()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.update_optimizer"><code class="docutils literal notranslate"><span class="pre">SolarCC.update_optimizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.version_record"><code class="docutils literal notranslate"><span class="pre">SolarCC.version_record</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.solar_cc.SolarCC.weights"><code class="docutils literal notranslate"><span class="pre">SolarCC.weights</span></code></a></li>
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+    <h1>sup3r.models.surface.SurfaceSpatialMetModel</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.TEMP_LAPSE"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.TEMP_LAPSE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.PRES_DIV"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.PRES_DIV</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.PRES_EXP"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.PRES_EXP</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.W_DELTA_TEMP"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.W_DELTA_TEMP</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.W_DELTA_TOPO"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.W_DELTA_TOPO</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_temp"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.feature_inds_temp</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_pres"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.feature_inds_pres</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_rh"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.feature_inds_rh</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_other"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.feature_inds_other</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.fix_downscaled_bias"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.fix_downscaled_bias()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.downscale_arr"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.downscale_arr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.downscale_temp"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.downscale_temp()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.downscale_rh"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.downscale_rh()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.downscale_pres"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.downscale_pres()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.get_s_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.get_s_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.get_t_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.get_t_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.hr_out_features"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.input_resolution"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.input_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.is_4d"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.is_4d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.is_5d"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.is_5d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.load"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.lr_features"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.lr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.model_params"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.model_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.output_resolution"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.output_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.s_enhance"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.s_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.s_enhancements"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.s_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.save"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.save()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.save_params"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.save_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.seed"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.seed()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.set_model_params"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.set_model_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.smoothed_features"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.smoothed_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.smoothing"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.smoothing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.t_enhance"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.t_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.t_enhancements"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.t_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.version_record"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.version_record</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.input_dims"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.input_dims</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.generate"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.generate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.meta"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.train"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.train()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-models-surface-surfacespatialmetmodel">
+<h1>sup3r.models.surface.SurfaceSpatialMetModel<a class="headerlink" href="#sup3r-models-surface-surfacespatialmetmodel" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">SurfaceSpatialMetModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lr_features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise_adders</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temp_lapse</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">w_delta_temp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">w_delta_topo</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pres_div</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pres_exp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interp_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'LANCZOS'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_resolution</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fix_bias</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/surface.html#SurfaceSpatialMetModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp" title="sup3r.models.linear.LinearInterp"><code class="xref py py-class docutils literal notranslate"><span class="pre">LinearInterp</span></code></a></p>
+<p>Model to spatially downscale daily-average near-surface temperature,
+relative humidity, and pressure</p>
+<p>Note that this model can also operate on temperature_*m,
+relativehumidity_*m, and pressure_*m datasets that are not
+strictly at the surface but could be near hub height.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>lr_features</strong> (<em>list</em>) – List of feature names that this model will operate on for both
+input and output. This must match the feature axis ordering in the
+array input to generate(). Typically this is a list containing:
+temperature_*m, relativehumidity_*m, and pressure_*m. The list can
+contain multiple instances of each variable at different heights.
+relativehumidity_*m entries must have corresponding temperature_*m
+entires at the same hub height.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes are to be enhanced.</p></li>
+<li><p><strong>noise_adders</strong> (<em>float | list | None</em>) – Option to add gaussian noise to spatial model output. Noise will be
+normally distributed with mean of 0 and standard deviation =
+noise_adders. noise_adders can be a single value or a list
+corresponding to the lr_features list. None is no noise. The
+addition of noise has been shown to help downstream temporal-only
+models produce diurnal cycles in regions where there is minimal
+change in topography. A noise_adders around 0.07C (temperature) and
+0.1% (relative humidity) have been shown to be effective. This is
+unnecessary if daily min/max temperatures are provided as low res
+training features.</p></li>
+<li><p><strong>temp_lapse</strong> (<em>None | float</em>) – Temperature lapse rate: change in degrees C/K per meter. Defaults
+to the cls.TEMP_LAPSE attribute.</p></li>
+<li><p><strong>w_delta_temp</strong> (<em>None | float</em>) – Weight for the delta-temperature feature for the relative humidity
+linear regression model. Defaults to the cls.W_DELTA_TEMP
+attribute.</p></li>
+<li><p><strong>w_delta_topo</strong> (<em>None | float</em>) – Weight for the delta-topography feature for the relative humidity
+linear regression model. Defaults to the cls.W_DELTA_TOPO
+attribute.</p></li>
+<li><p><strong>pres_div</strong> (<em>None | float</em>) – Divisor factor in the pressure scale height equation. Defaults to
+the cls.PRES_DIV attribute.</p></li>
+<li><p><strong>pres_exp</strong> (<em>None | float</em>) – Exponential factor in the pressure scale height equation. Defaults
+to the cls.PRES_EXP attribute.</p></li>
+<li><p><strong>interp_method</strong> (<em>str</em>) – Name of the interpolation method to use from PIL.Image.Resampling
+(NEAREST, BILINEAR, BICUBIC, LANCZOS)
+LANCZOS is default and has been tested to work best for
+SurfaceSpatialMetModel.</p></li>
+<li><p><strong>fix_bias</strong> (<em>bool</em>) – Some local bias can be introduced by the bilinear interp + lapse
+rate, this flag will attempt to correct that bias by using the
+low-resolution deviation from the input data</p></li>
+<li><p><strong>input_resolution</strong> (<em>dict | None</em>) – Resolution of the input data. e.g. {‘spatial’: ‘30km’, ‘temporal’:
+‘60min’}. This is used to determine how to aggregate
+high-resolution topography data.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.downscale_arr" title="sup3r.models.surface.SurfaceSpatialMetModel.downscale_arr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">downscale_arr</span></code></a>(arr, s_enhance[, method, fix_bias])</p></td>
+<td><p>Downscale a 2D array of data Image.resize() method</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.downscale_pres" title="sup3r.models.surface.SurfaceSpatialMetModel.downscale_pres"><code class="xref py py-obj docutils literal notranslate"><span class="pre">downscale_pres</span></code></a>(single_lr_pres, topo_lr, topo_hr)</p></td>
+<td><p>Downscale pressure raster data at a single observation.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.downscale_rh" title="sup3r.models.surface.SurfaceSpatialMetModel.downscale_rh"><code class="xref py py-obj docutils literal notranslate"><span class="pre">downscale_rh</span></code></a>(single_lr_rh, single_lr_temp, ...)</p></td>
+<td><p>Downscale relative humidity raster data at a single observation.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.downscale_temp" title="sup3r.models.surface.SurfaceSpatialMetModel.downscale_temp"><code class="xref py py-obj docutils literal notranslate"><span class="pre">downscale_temp</span></code></a>(single_lr_temp, topo_lr, topo_hr)</p></td>
+<td><p>Downscale temperature raster data at a single observation.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.fix_downscaled_bias" title="sup3r.models.surface.SurfaceSpatialMetModel.fix_downscaled_bias"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fix_downscaled_bias</span></code></a>(single_lr, single_hr[, ...])</p></td>
+<td><p>Fix any bias introduced by the spatial downscaling with lapse rate.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.generate" title="sup3r.models.surface.SurfaceSpatialMetModel.generate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">generate</span></code></a>(low_res[, norm_in, un_norm_out, ...])</p></td>
+<td><p>Use the generator model to generate high res data from low res input.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.get_s_enhance_from_layers" title="sup3r.models.surface.SurfaceSpatialMetModel.get_s_enhance_from_layers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_s_enhance_from_layers</span></code></a>()</p></td>
+<td><p>Compute factor by which model will enhance spatial resolution from layer attributes.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.get_t_enhance_from_layers" title="sup3r.models.surface.SurfaceSpatialMetModel.get_t_enhance_from_layers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_t_enhance_from_layers</span></code></a>()</p></td>
+<td><p>Compute factor by which model will enhance temporal resolution from layer attributes.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.load" title="sup3r.models.surface.SurfaceSpatialMetModel.load"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load</span></code></a>(model_dir[, verbose])</p></td>
+<td><p>Load the LinearInterp model with its params saved to the model_dir created with LinearInterp.save(model_dir)</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.save" title="sup3r.models.surface.SurfaceSpatialMetModel.save"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save</span></code></a>(out_dir)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.save_params" title="sup3r.models.surface.SurfaceSpatialMetModel.save_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save_params</span></code></a>(out_dir)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.seed" title="sup3r.models.surface.SurfaceSpatialMetModel.seed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">seed</span></code></a>([s])</p></td>
+<td><p>Set the random seed for reproducible results.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.set_model_params" title="sup3r.models.surface.SurfaceSpatialMetModel.set_model_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_model_params</span></code></a>(**kwargs)</p></td>
+<td><p>Set parameters used for training the model</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.train" title="sup3r.models.surface.SurfaceSpatialMetModel.train"><code class="xref py py-obj docutils literal notranslate"><span class="pre">train</span></code></a>(true_hr_temp, true_hr_rh, ...)</p></td>
+<td><p>Trains the relative humidity linear model.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.PRES_DIV" title="sup3r.models.surface.SurfaceSpatialMetModel.PRES_DIV"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PRES_DIV</span></code></a></p></td>
+<td><p>Air pressure scaling equation divisor variable: 101325 * (1 - (1 - topo / PRES_DIV)**PRES_EXP)</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.PRES_EXP" title="sup3r.models.surface.SurfaceSpatialMetModel.PRES_EXP"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PRES_EXP</span></code></a></p></td>
+<td><p>Air pressure scaling equation exponent variable: 101325 * (1 - (1 - topo / PRES_DIV)**PRES_EXP)</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.TEMP_LAPSE" title="sup3r.models.surface.SurfaceSpatialMetModel.TEMP_LAPSE"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TEMP_LAPSE</span></code></a></p></td>
+<td><p>change in degrees C/K per meter</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.W_DELTA_TEMP" title="sup3r.models.surface.SurfaceSpatialMetModel.W_DELTA_TEMP"><code class="xref py py-obj docutils literal notranslate"><span class="pre">W_DELTA_TEMP</span></code></a></p></td>
+<td><p>Weight for the delta-temperature feature for the relative humidity linear regression model.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.W_DELTA_TOPO" title="sup3r.models.surface.SurfaceSpatialMetModel.W_DELTA_TOPO"><code class="xref py py-obj docutils literal notranslate"><span class="pre">W_DELTA_TOPO</span></code></a></p></td>
+<td><p>Weight for the delta-topography feature for the relative humidity linear regression model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_other" title="sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_other"><code class="xref py py-obj docutils literal notranslate"><span class="pre">feature_inds_other</span></code></a></p></td>
+<td><p>Get the feature index values for the features that are not temperature, pressure, or relativehumidity.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_pres" title="sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_pres"><code class="xref py py-obj docutils literal notranslate"><span class="pre">feature_inds_pres</span></code></a></p></td>
+<td><p>Get the feature index values for the pressure features.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_rh" title="sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_rh"><code class="xref py py-obj docutils literal notranslate"><span class="pre">feature_inds_rh</span></code></a></p></td>
+<td><p>Get the feature index values for the relative humidity features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_temp" title="sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_temp"><code class="xref py py-obj docutils literal notranslate"><span class="pre">feature_inds_temp</span></code></a></p></td>
+<td><p>Get the feature index values for the temperature features.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.hr_exo_features" title="sup3r.models.surface.SurfaceSpatialMetModel.hr_exo_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_exo_features</span></code></a></p></td>
+<td><p>Returns an empty list for LinearInterp model</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.hr_out_features" title="sup3r.models.surface.SurfaceSpatialMetModel.hr_out_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_out_features</span></code></a></p></td>
+<td><p>Get the list of output feature names that the generative model outputs</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.input_dims" title="sup3r.models.surface.SurfaceSpatialMetModel.input_dims"><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_dims</span></code></a></p></td>
+<td><p>Get dimension of model input.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.input_resolution" title="sup3r.models.surface.SurfaceSpatialMetModel.input_resolution"><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_resolution</span></code></a></p></td>
+<td><p>Resolution of input data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.is_4d" title="sup3r.models.surface.SurfaceSpatialMetModel.is_4d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_4d</span></code></a></p></td>
+<td><p>Check if model expects spatial only input</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.is_5d" title="sup3r.models.surface.SurfaceSpatialMetModel.is_5d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_5d</span></code></a></p></td>
+<td><p>Check if model expects spatiotemporal input</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.lr_features" title="sup3r.models.surface.SurfaceSpatialMetModel.lr_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_features</span></code></a></p></td>
+<td><p>Get the list of input feature names that the generative model was trained on.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.meta" title="sup3r.models.surface.SurfaceSpatialMetModel.meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meta</span></code></a></p></td>
+<td><p>Get meta data dictionary that defines the model params</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.model_params" title="sup3r.models.surface.SurfaceSpatialMetModel.model_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">model_params</span></code></a></p></td>
+<td><p>Model parameters, used to save model to disc</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.output_resolution" title="sup3r.models.surface.SurfaceSpatialMetModel.output_resolution"><code class="xref py py-obj docutils literal notranslate"><span class="pre">output_resolution</span></code></a></p></td>
+<td><p>Resolution of output data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.s_enhance" title="sup3r.models.surface.SurfaceSpatialMetModel.s_enhance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhance</span></code></a></p></td>
+<td><p>Factor by which model will enhance spatial resolution.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.s_enhancements" title="sup3r.models.surface.SurfaceSpatialMetModel.s_enhancements"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhancements</span></code></a></p></td>
+<td><p>List of spatial enhancement factors.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.smoothed_features" title="sup3r.models.surface.SurfaceSpatialMetModel.smoothed_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">smoothed_features</span></code></a></p></td>
+<td><p>Get the list of smoothed input feature names that the generative model was trained on.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.smoothing" title="sup3r.models.surface.SurfaceSpatialMetModel.smoothing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">smoothing</span></code></a></p></td>
+<td><p>Value of smoothing parameter used in gaussian filtering of coarsened high res data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.t_enhance" title="sup3r.models.surface.SurfaceSpatialMetModel.t_enhance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhance</span></code></a></p></td>
+<td><p>Factor by which model will enhance temporal resolution.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.t_enhancements" title="sup3r.models.surface.SurfaceSpatialMetModel.t_enhancements"><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhancements</span></code></a></p></td>
+<td><p>List of temporal enhancement factors.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.models.surface.SurfaceSpatialMetModel.version_record" title="sup3r.models.surface.SurfaceSpatialMetModel.version_record"><code class="xref py py-obj docutils literal notranslate"><span class="pre">version_record</span></code></a></p></td>
+<td><p>A record of important versions that this model was built with.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.TEMP_LAPSE">
+<span class="sig-name descname"><span class="pre">TEMP_LAPSE</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">0.0065</span></em><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.TEMP_LAPSE" title="Link to this definition">#</a></dt>
+<dd><p>change in degrees C/K per meter</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>Temperature lapse rate</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.PRES_DIV">
+<span class="sig-name descname"><span class="pre">PRES_DIV</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">44307.69231</span></em><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.PRES_DIV" title="Link to this definition">#</a></dt>
+<dd><p>Air pressure scaling equation divisor variable:
+101325 * (1 - (1 - topo / PRES_DIV)**PRES_EXP)</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.PRES_EXP">
+<span class="sig-name descname"><span class="pre">PRES_EXP</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">5.25328</span></em><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.PRES_EXP" title="Link to this definition">#</a></dt>
+<dd><p>Air pressure scaling equation exponent variable:
+101325 * (1 - (1 - topo / PRES_DIV)**PRES_EXP)</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.W_DELTA_TEMP">
+<span class="sig-name descname"><span class="pre">W_DELTA_TEMP</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">-3.9924283</span></em><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.W_DELTA_TEMP" title="Link to this definition">#</a></dt>
+<dd><p>Weight for the delta-temperature feature for the relative humidity
+linear regression model.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.W_DELTA_TOPO">
+<span class="sig-name descname"><span class="pre">W_DELTA_TOPO</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">-0.01736911</span></em><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.W_DELTA_TOPO" title="Link to this definition">#</a></dt>
+<dd><p>Weight for the delta-topography feature for the relative humidity linear
+regression model.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_temp">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">feature_inds_temp</span></span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_temp" title="Link to this definition">#</a></dt>
+<dd><p>Get the feature index values for the temperature features.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_pres">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">feature_inds_pres</span></span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_pres" title="Link to this definition">#</a></dt>
+<dd><p>Get the feature index values for the pressure features.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_rh">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">feature_inds_rh</span></span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_rh" title="Link to this definition">#</a></dt>
+<dd><p>Get the feature index values for the relative humidity features.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_other">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">feature_inds_other</span></span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_other" title="Link to this definition">#</a></dt>
+<dd><p>Get the feature index values for the features that are not
+temperature, pressure, or relativehumidity.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.fix_downscaled_bias">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">fix_downscaled_bias</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">single_lr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">single_hr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">Resampling.LANCZOS</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/surface.html#SurfaceSpatialMetModel.fix_downscaled_bias"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.fix_downscaled_bias" title="Link to this definition">#</a></dt>
+<dd><p>Fix any bias introduced by the spatial downscaling with lapse rate.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>single_lr</strong> (<em>np.ndarray</em>) – Single timestep raster data with shape
+(lat, lon) matching the low-resolution input data.</p></li>
+<li><p><strong>single_hr</strong> (<em>np.ndarray</em>) – Single timestep downscaled raster data with shape
+(lat, lon) matching the high-resolution input data.</p></li>
+<li><p><strong>method</strong> (<em>Image.Resampling.LANCZOS</em>) – An Image.Resampling method (NEAREST, BILINEAR, BICUBIC, LANCZOS).
+NEAREST enforces zero bias but makes slightly more spatial seams.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>single_hr</strong> (<em>np.ndarray</em>) – Single timestep downscaled raster data with shape
+(lat, lon) matching the high-resolution input data.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.downscale_arr">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">downscale_arr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">arr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">Resampling.LANCZOS</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fix_bias</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/surface.html#SurfaceSpatialMetModel.downscale_arr"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.downscale_arr" title="Link to this definition">#</a></dt>
+<dd><p>Downscale a 2D array of data Image.resize() method</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>arr</strong> (<em>np.ndarray</em>) – 2D raster data, typically spatial daily average data with shape
+(lat, lon)</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes are to be enhanced.</p></li>
+<li><p><strong>method</strong> (<em>Image.Resampling.LANCZOS</em>) – An Image.Resampling method (NEAREST, BILINEAR, BICUBIC, LANCZOS).
+LANCZOS is default and has been tested to work best for
+SurfaceSpatialMetModel.</p></li>
+<li><p><strong>fix_bias</strong> (<em>bool</em>) – Some local bias can be introduced by the bilinear interp + lapse
+rate, this flag will attempt to correct that bias by using the
+low-resolution deviation from the input data</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.downscale_temp">
+<span class="sig-name descname"><span class="pre">downscale_temp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">single_lr_temp</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">topo_lr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">topo_hr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/surface.html#SurfaceSpatialMetModel.downscale_temp"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.downscale_temp" title="Link to this definition">#</a></dt>
+<dd><p>Downscale temperature raster data at a single observation.</p>
+<p>This model uses a simple lapse rate that adjusts temperature as a
+function of elevation. The process is as follows:</p>
+<blockquote>
+<div><ul class="simple">
+<li><p>add a scale factor to the low-res temperature field:
+topo_lr * TEMP_LAPSE</p></li>
+<li><p>perform bilinear interpolation of the scaled temperature field.</p></li>
+<li><p>subtract the scale factor from the high-res temperature field:
+topo_hr * TEMP_LAPSE</p></li>
+</ul>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>single_lr_temp</strong> (<em>np.ndarray</em>) – Single timestep temperature (deg C) raster data with shape
+(lat, lon) matching the low-resolution input data.</p></li>
+<li><p><strong>topo_lr</strong> (<em>np.ndarray</em>) – low-resolution surface elevation data in meters with shape
+(lat, lon)</p></li>
+<li><p><strong>topo_hr</strong> (<em>np.ndarray</em>) – High-resolution surface elevation data in meters with shape
+(lat, lon)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>hi_res_temp</strong> (<em>np.ndarray</em>) – Single timestep temperature (deg C) raster data with shape
+(lat, lon) matching the high-resolution output data.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.downscale_rh">
+<span class="sig-name descname"><span class="pre">downscale_rh</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">single_lr_rh</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">single_lr_temp</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">single_hr_temp</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">topo_lr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">topo_hr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/surface.html#SurfaceSpatialMetModel.downscale_rh"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.downscale_rh" title="Link to this definition">#</a></dt>
+<dd><p>Downscale relative humidity raster data at a single observation.</p>
+<dl class="simple">
+<dt>Here’s a description of the humidity scaling model:</dt><dd><ul class="simple">
+<li><p>Take low-resolution and high-resolution daily average
+temperature, relative humidity, and topography data.</p></li>
+<li><p>Downscale all low-resolution variables using a bilinear image
+enhancement</p></li>
+<li><p>The target model output is the difference between the
+interpolated low-res relative humidity and the true high-res
+relative humidity. Calculate this difference as a linear function
+of the same difference in the temperature and topography fields.</p></li>
+<li><p>Use this linear regression model to calculate high-res relative
+humidity fields when provided low-res input of relative humidity
+along with low-res/high-res pairs of temperature and topography.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>single_lr_rh</strong> (<em>np.ndarray</em>) – Single timestep relative humidity (%) raster data with shape
+(lat, lon) matching the low-resolution input data.</p></li>
+<li><p><strong>single_lr_temp</strong> (<em>np.ndarray</em>) – Single timestep temperature (deg C) raster data with shape
+(lat, lon) matching the low-resolution input data.</p></li>
+<li><p><strong>single_hr_temp</strong> (<em>np.ndarray</em>) – Single timestep temperature (deg C) raster data with shape
+(lat, lon) matching the high-resolution output data.</p></li>
+<li><p><strong>topo_lr</strong> (<em>np.ndarray</em>) – low-resolution surface elevation data in meters with shape
+(lat, lon)</p></li>
+<li><p><strong>topo_hr</strong> (<em>np.ndarray</em>) – High-resolution surface elevation data in meters with shape
+(lat, lon)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>hi_res_rh</strong> (<em>np.ndarray</em>) – Single timestep relative humidity (%) raster data with shape
+(lat, lon) matching the high-resolution output data.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.downscale_pres">
+<span class="sig-name descname"><span class="pre">downscale_pres</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">single_lr_pres</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">topo_lr</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">topo_hr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/surface.html#SurfaceSpatialMetModel.downscale_pres"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.downscale_pres" title="Link to this definition">#</a></dt>
+<dd><p>Downscale pressure raster data at a single observation.</p>
+<p>This model uses a simple exponential scale height that adjusts
+temperature as a function of elevation. The process is as follows:</p>
+<blockquote>
+<div><ul class="simple">
+<li><p>add a scale factor to the low-res pressure field:
+101325 * (1 - (1 - topo_lr / PRES_DIV)**PRES_EXP)</p></li>
+<li><p>perform bilinear interpolation of the scaled pressure field.</p></li>
+<li><p>subtract the scale factor from the high-res pressure field:
+101325 * (1 - (1 - topo_hr / PRES_DIV)**PRES_EXP)</p></li>
+</ul>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>single_lr_pres</strong> (<em>np.ndarray</em>) – Single timestep pressure (Pa) raster data with shape
+(lat, lon) matching the low-resolution input data.</p></li>
+<li><p><strong>topo_lr</strong> (<em>np.ndarray</em>) – low-resolution surface elevation data in meters with shape
+(lat, lon)</p></li>
+<li><p><strong>topo_hr</strong> (<em>np.ndarray</em>) – High-resolution surface elevation data in meters with shape
+(lat, lon)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>hi_res_pres</strong> (<em>np.ndarray</em>) – Single timestep pressure (Pa) raster data with shape
+(lat, lon) matching the high-resolution output data.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.get_s_enhance_from_layers">
+<span class="sig-name descname"><span class="pre">get_s_enhance_from_layers</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.get_s_enhance_from_layers" title="Link to this definition">#</a></dt>
+<dd><p>Compute factor by which model will enhance spatial resolution from
+layer attributes. Used in model training during high res coarsening</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.get_t_enhance_from_layers">
+<span class="sig-name descname"><span class="pre">get_t_enhance_from_layers</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.get_t_enhance_from_layers" title="Link to this definition">#</a></dt>
+<dd><p>Compute factor by which model will enhance temporal resolution from
+layer attributes. Used in model training during high res coarsening</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.hr_exo_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_exo_features</span></span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.hr_exo_features" title="Link to this definition">#</a></dt>
+<dd><p>Returns an empty list for LinearInterp model</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.hr_out_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_out_features</span></span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.hr_out_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the list of output feature names that the generative model
+outputs</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.input_resolution">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">input_resolution</span></span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.input_resolution" title="Link to this definition">#</a></dt>
+<dd><p>Resolution of input data. Given as a dictionary
+<code class="docutils literal notranslate"><span class="pre">{'spatial':</span> <span class="pre">'...km',</span> <span class="pre">'temporal':</span> <span class="pre">'...min'}</span></code>. The numbers are
+required to be integers in the units specified. The units are not
+strict as long as the resolution of the exogenous data, when extracting
+exogenous data, is specified in the same units.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.is_4d">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_4d</span></span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.is_4d" title="Link to this definition">#</a></dt>
+<dd><p>Check if model expects spatial only input</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.is_5d">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_5d</span></span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.is_5d" title="Link to this definition">#</a></dt>
+<dd><p>Check if model expects spatiotemporal input</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.load">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_dir</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.load" title="Link to this definition">#</a></dt>
+<dd><p>Load the LinearInterp model with its params saved to the model_dir
+created with LinearInterp.save(model_dir)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>model_dir</strong> (<em>str</em>) – Directory to load LinearInterp model files from. Must
+have a model_params.json file containing “meta” key with all of the
+class init args.</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to log information about the loaded model.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>LinearInterp</em>) – Returns an initialized LinearInterp model</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.lr_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_features</span></span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.lr_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the list of input feature names that the generative model was
+trained on.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.model_params">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">model_params</span></span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.model_params" title="Link to this definition">#</a></dt>
+<dd><p>Model parameters, used to save model to disc</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>dict</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.output_resolution">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_resolution</span></span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.output_resolution" title="Link to this definition">#</a></dt>
+<dd><p>Resolution of output data. Given as a dictionary
+{‘spatial’: ‘…km’, ‘temporal’: ‘…min’}. This is computed from the
+input resolution and the enhancement factors.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.s_enhance">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_enhance</span></span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.s_enhance" title="Link to this definition">#</a></dt>
+<dd><p>Factor by which model will enhance spatial resolution. Used in
+model training during high res coarsening and also in forward pass
+routine to determine shape of needed exogenous data</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.s_enhancements">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_enhancements</span></span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.s_enhancements" title="Link to this definition">#</a></dt>
+<dd><p>List of spatial enhancement factors. In the case of a single step
+model this is just <code class="docutils literal notranslate"><span class="pre">[self.s_enhance]</span></code>. This is used to determine
+shapes of needed exogenous data in forward pass routine</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.save">
+<span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.save" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>out_dir</strong> (<em>str</em>) – Directory to save linear model params. This directory will be
+created if it does not already exist.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.save_params">
+<span class="sig-name descname"><span class="pre">save_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_dir</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.save_params" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>out_dir</strong> (<em>str</em>) – Directory to save linear model params. This directory will be
+created if it does not already exist.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.seed">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">seed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.seed" title="Link to this definition">#</a></dt>
+<dd><p>Set the random seed for reproducible results.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>s</strong> (<em>int</em>) – Random seed</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.set_model_params">
+<span class="sig-name descname"><span class="pre">set_model_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.set_model_params" title="Link to this definition">#</a></dt>
+<dd><p>Set parameters used for training the model</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>kwargs</strong> (<em>dict</em>) – Keyword arguments including ‘input_resolution’,
+‘lr_features’, ‘hr_exo_features’, ‘hr_out_features’,
+‘smoothed_features’, ‘s_enhance’, ‘t_enhance’, ‘smoothing’</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.smoothed_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">smoothed_features</span></span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.smoothed_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the list of smoothed input feature names that the generative
+model was trained on.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.smoothing">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">smoothing</span></span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.smoothing" title="Link to this definition">#</a></dt>
+<dd><p>Value of smoothing parameter used in gaussian filtering of coarsened
+high res data.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.t_enhance">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">t_enhance</span></span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.t_enhance" title="Link to this definition">#</a></dt>
+<dd><p>Factor by which model will enhance temporal resolution. Used in
+model training during high res coarsening and also in forward pass
+routine to determine shape of needed exogenous data</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.t_enhancements">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">t_enhancements</span></span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.t_enhancements" title="Link to this definition">#</a></dt>
+<dd><p>List of temporal enhancement factors. In the case of a single step
+model this is just <code class="docutils literal notranslate"><span class="pre">[self.t_enhance]</span></code>. This is used to determine
+shapes of needed exogenous data in forward pass routine</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.version_record">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">version_record</span></span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.version_record" title="Link to this definition">#</a></dt>
+<dd><p>A record of important versions that this model was built with.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>dict</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.input_dims">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">input_dims</span></span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.input_dims" title="Link to this definition">#</a></dt>
+<dd><p>Get dimension of model input. This is 4 for linear and surface
+models (n_obs, spatial_1, spatial_2, temporal)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>int</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.generate">
+<span class="sig-name descname"><span class="pre">generate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_in</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">un_norm_out</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">exogenous_data</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/surface.html#SurfaceSpatialMetModel.generate"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.generate" title="Link to this definition">#</a></dt>
+<dd><p>Use the generator model to generate high res data from low res
+input. This is the public generate function.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>low_res</strong> (<em>np.ndarray</em>) – Low-resolution spatial input data, a 4D array of shape:
+(n_obs, spatial_1, spatial_2, n_features), Where the feature
+channel can include temperature_*m, relativehumidity_*m, and/or
+pressure_*m</p></li>
+<li><p><strong>norm_in</strong> (<em>bool</em>) – This doesnt do anything for this SurfaceSpatialMetModel, but is
+kept to keep the same interface as Sup3rGan</p></li>
+<li><p><strong>un_norm_out</strong> (<em>bool</em>) – This doesnt do anything for this SurfaceSpatialMetModel, but is
+kept to keep the same interface as Sup3rGan</p></li>
+<li><p><strong>exogenous_data</strong> (<em>dict</em>) – For the SurfaceSpatialMetModel, this must be a nested dictionary
+with a main ‘topography’ key and two entries for
+exogenous_data[‘topography’][‘steps’]. The first entry includes a
+2D (lat, lon) array of low-resolution surface elevation data in
+meters (must match spatial_1, spatial_2 from low_res), and the
+second entry includes a 2D (lat, lon) array of high-resolution
+surface elevation data in meters. e.g.
+.. code-block:: JSON</p>
+<blockquote>
+<div><dl class="simple">
+<dt>{‘topography’: {</dt><dd><p>‘steps’: [{‘data’: lr_topo}, {‘data’: hr_topo’}]
+}</p>
+</dd>
+</dl>
+<p>}</p>
+</div></blockquote>
+</li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>hi_res</strong> (<em>ndarray</em>) – high-resolution spatial output data, a 4D array of shape:
+(n_obs, spatial_1, spatial_2, n_features), Where the feature
+channel can include temperature_*m, relativehumidity_*m, and/or
+pressure_*m</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.meta">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">meta</span></span><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.meta" title="Link to this definition">#</a></dt>
+<dd><p>Get meta data dictionary that defines the model params</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.surface.SurfaceSpatialMetModel.train">
+<span class="sig-name descname"><span class="pre">train</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">true_hr_temp</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">true_hr_rh</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">true_hr_topo</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_resolution</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/surface.html#SurfaceSpatialMetModel.train"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.surface.SurfaceSpatialMetModel.train" title="Link to this definition">#</a></dt>
+<dd><p>Trains the relative humidity linear model. The temperature and
+surface lapse rate models are parameterizations taken from the NSRDB
+and are not trained.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>true_hr_temp</strong> (<em>np.ndarray</em>) – True high-resolution daily average temperature data in a 3D array
+of shape (lat, lon, n_days)</p></li>
+<li><p><strong>true_hr_rh</strong> (<em>np.ndarray</em>) – True high-resolution daily average relative humidity data in a 3D
+array of shape (lat, lon, n_days)</p></li>
+<li><p><strong>true_hr_topo</strong> (<em>np.ndarray</em>) – High-resolution surface elevation data in meters with shape
+(lat, lon)</p></li>
+<li><p><strong>input_resolution</strong> (<em>dict</em>) – Dictionary of spatial and temporal input resolution. e.g.
+{‘spatial’: ‘20km’: ‘temporal’: ‘60min’}</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>w_delta_temp</strong> (<em>float</em>) – Weight for the delta-temperature feature for the relative humidity
+linear regression model.</p></li>
+<li><p><strong>w_delta_topo</strong> (<em>float</em>) – Weight for the delta-topography feature for the relative humidity
+linear regression model.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
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+    <i class="fa-solid fa-list"></i> Contents
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+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.TEMP_LAPSE"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.TEMP_LAPSE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.PRES_DIV"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.PRES_DIV</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.PRES_EXP"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.PRES_EXP</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.W_DELTA_TEMP"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.W_DELTA_TEMP</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.W_DELTA_TOPO"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.W_DELTA_TOPO</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_temp"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.feature_inds_temp</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_pres"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.feature_inds_pres</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_rh"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.feature_inds_rh</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_other"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.feature_inds_other</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.fix_downscaled_bias"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.fix_downscaled_bias()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.downscale_arr"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.downscale_arr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.downscale_temp"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.downscale_temp()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.downscale_rh"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.downscale_rh()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.downscale_pres"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.downscale_pres()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.get_s_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.get_s_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.get_t_enhance_from_layers"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.get_t_enhance_from_layers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.hr_out_features"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.input_resolution"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.input_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.is_4d"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.is_4d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.is_5d"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.is_5d</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.load"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.load()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.lr_features"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.lr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.model_params"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.model_params</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.output_resolution"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.output_resolution</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.s_enhance"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.s_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.s_enhancements"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.s_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.save"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.save()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.save_params"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.save_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.seed"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.seed()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.set_model_params"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.set_model_params()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.smoothed_features"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.smoothed_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.smoothing"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.smoothing</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.t_enhance"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.t_enhance</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.t_enhancements"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.t_enhancements</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.version_record"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.version_record</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.input_dims"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.input_dims</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.generate"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.generate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.meta"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.surface.SurfaceSpatialMetModel.train"><code class="docutils literal notranslate"><span class="pre">SurfaceSpatialMetModel.train()</span></code></a></li>
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+<span id="sup3r-models-surface"></span><h1>sup3r.models.surface<a class="headerlink" href="#module-sup3r.models.surface" title="Link to this heading">#</a></h1>
+<p>Special models for surface meteorological data.</p>
+<p class="rubric">Classes</p>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.utilities.TrainingSession.run"><code class="docutils literal notranslate"><span class="pre">TrainingSession.run()</span></code></a></li>
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+  <section id="sup3r-models-utilities-trainingsession">
+<h1>sup3r.models.utilities.TrainingSession<a class="headerlink" href="#sup3r-models-utilities-trainingsession" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.models.utilities.TrainingSession">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">TrainingSession</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_handler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/utilities.html#TrainingSession"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.utilities.TrainingSession" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<p>Wrapper to gracefully exit batch handler thread during training, upon a
+keyboard interruption.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>batch_handler</strong> (<em>BatchHandler</em>) – Batch iterator</p></li>
+<li><p><strong>model</strong> (<em>Sup3rGan</em>) – Gan model to run in new thread</p></li>
+<li><p><strong>**kwargs</strong> (<em>dict</em>) – Model keyword args</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.models.utilities.TrainingSession.run" title="sup3r.models.utilities.TrainingSession.run"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run</span></code></a>()</p></td>
+<td><p>Wrap model.train().</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.models.utilities.TrainingSession.run">
+<span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/utilities.html#TrainingSession.run"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.utilities.TrainingSession.run" title="Link to this definition">#</a></dt>
+<dd><p>Wrap model.train().</p>
+</dd></dl>
+
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+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.utilities.get_optimizer_class"><code class="docutils literal notranslate"><span class="pre">get_optimizer_class()</span></code></a></li>
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+  <section id="sup3r-models-utilities-get-optimizer-class">
+<h1>sup3r.models.utilities.get_optimizer_class<a class="headerlink" href="#sup3r-models-utilities-get-optimizer-class" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.models.utilities.get_optimizer_class">
+<span class="sig-name descname"><span class="pre">get_optimizer_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">conf</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/utilities.html#get_optimizer_class"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.utilities.get_optimizer_class" title="Link to this definition">#</a></dt>
+<dd><p>Get optimizer class from keras</p>
+</dd></dl>
+
+</section>
+
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+  <section id="module-sup3r.models.utilities">
+<span id="sup3r-models-utilities"></span><h1>sup3r.models.utilities<a class="headerlink" href="#module-sup3r.models.utilities" title="Link to this heading">#</a></h1>
+<p>Utilities shared across the <cite>sup3r.models</cite> module</p>
+<p class="rubric">Functions</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.models.utilities.get_optimizer_class.html#sup3r.models.utilities.get_optimizer_class" title="sup3r.models.utilities.get_optimizer_class"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_optimizer_class</span></code></a>(conf)</p></td>
+<td><p>Get optimizer class from keras</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.models.utilities.st_interp.html#sup3r.models.utilities.st_interp" title="sup3r.models.utilities.st_interp"><code class="xref py py-obj docutils literal notranslate"><span class="pre">st_interp</span></code></a>(low, s_enhance, t_enhance[, ...])</p></td>
+<td><p>Spatiotemporal bilinear interpolation for low resolution field on a regular grid.</p></td>
+</tr>
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+</div>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.models.utilities.TrainingSession.html#sup3r.models.utilities.TrainingSession" title="sup3r.models.utilities.TrainingSession"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TrainingSession</span></code></a>(batch_handler, model, **kwargs)</p></td>
+<td><p>Wrapper to gracefully exit batch handler thread during training, upon a keyboard interruption.</p></td>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.models.utilities.st_interp"><code class="docutils literal notranslate"><span class="pre">st_interp()</span></code></a></li>
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+  <section id="sup3r-models-utilities-st-interp">
+<h1>sup3r.models.utilities.st_interp<a class="headerlink" href="#sup3r-models-utilities-st-interp" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.models.utilities.st_interp">
+<span class="sig-name descname"><span class="pre">st_interp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_centered</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/models/utilities.html#st_interp"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.models.utilities.st_interp" title="Link to this definition">#</a></dt>
+<dd><p>Spatiotemporal bilinear interpolation for low resolution field on a
+regular grid. Used to provide baseline for comparison with gan output</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low</strong> (<em>ndarray</em>) – Low resolution field to interpolate.
+(spatial_1, spatial_2, temporal)</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Factor by which to enhance the spatial domain</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Factor by which to enhance the temporal domain</p></li>
+<li><p><strong>t_centered</strong> (<em>bool</em>) – Flag to switch time axis from time-beginning (Default, e.g.
+interpolate 00:00 01:00 to 00:00 00:30 01:00 01:30) to
+time-centered (e.g. interp 01:00 02:00 to 00:45 01:15 01:45 02:15)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>ndarray</em> – Spatiotemporally interpolated low resolution output</p>
+</dd>
+</dl>
+</dd></dl>
+
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+    <h1>sup3r.pipeline.forward_pass.ForwardPass</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.forward_pass.ForwardPass"><code class="docutils literal notranslate"><span class="pre">ForwardPass</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.forward_pass.ForwardPass.get_input_chunk"><code class="docutils literal notranslate"><span class="pre">ForwardPass.get_input_chunk()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.forward_pass.ForwardPass.meta"><code class="docutils literal notranslate"><span class="pre">ForwardPass.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.forward_pass.ForwardPass.pad_source_data"><code class="docutils literal notranslate"><span class="pre">ForwardPass.pad_source_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.forward_pass.ForwardPass.run_generator"><code class="docutils literal notranslate"><span class="pre">ForwardPass.run_generator()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.forward_pass.ForwardPass.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">ForwardPass.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.forward_pass.ForwardPass.run"><code class="docutils literal notranslate"><span class="pre">ForwardPass.run()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.forward_pass.ForwardPass.run_chunk"><code class="docutils literal notranslate"><span class="pre">ForwardPass.run_chunk()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-pipeline-forward-pass-forwardpass">
+<h1>sup3r.pipeline.forward_pass.ForwardPass<a class="headerlink" href="#sup3r-pipeline-forward-pass-forwardpass" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.pipeline.forward_pass.ForwardPass">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ForwardPass</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">strategy</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">node_index</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/forward_pass.html#ForwardPass"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.forward_pass.ForwardPass" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<p>Class to run forward passes on all chunks provided by the given
+ForwardPassStrategy. The chunks provided by the strategy are all passed
+through the GAN generator to produce high resolution output.</p>
+<p>Initialize ForwardPass with ForwardPassStrategy. The strategy
+provides the data chunks to run forward passes on</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>strategy</strong> (<em>ForwardPassStrategy</em>) – ForwardPassStrategy instance with information on data chunks to run
+forward passes on.</p></li>
+<li><p><strong>node_index</strong> (<em>int</em>) – Index of node used to run forward pass</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.forward_pass.ForwardPass.get_input_chunk" title="sup3r.pipeline.forward_pass.ForwardPass.get_input_chunk"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_input_chunk</span></code></a>([chunk_index, mode])</p></td>
+<td><p>Get <code class="xref py py-class docutils literal notranslate"><span class="pre">FowardPassChunk</span></code> instance for the given chunk index.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.forward_pass.ForwardPass.get_node_cmd" title="sup3r.pipeline.forward_pass.ForwardPass.get_node_cmd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_node_cmd</span></code></a>(config)</p></td>
+<td><p>Get a CLI call to initialize ForwardPassStrategy and run ForwardPass on a single node based on an input config.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.forward_pass.ForwardPass.pad_source_data" title="sup3r.pipeline.forward_pass.ForwardPass.pad_source_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pad_source_data</span></code></a>(input_data, pad_width, exo_data)</p></td>
+<td><p>Pad the edges of the source data from the data handler.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.forward_pass.ForwardPass.run" title="sup3r.pipeline.forward_pass.ForwardPass.run"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run</span></code></a>(strategy, node_index)</p></td>
+<td><p>Runs forward passes on all spatiotemporal chunks for the given node index.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.forward_pass.ForwardPass.run_chunk" title="sup3r.pipeline.forward_pass.ForwardPass.run_chunk"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run_chunk</span></code></a>(chunk, model_kwargs, model_class, ...)</p></td>
+<td><p>Run a forward pass on single spatiotemporal chunk.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.forward_pass.ForwardPass.run_generator" title="sup3r.pipeline.forward_pass.ForwardPass.run_generator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run_generator</span></code></a>(data_chunk, hr_crop_slices, model)</p></td>
+<td><p>Run forward pass of the generator on smallest data chunk.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">OUTPUT_HANDLER_CLASS</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.forward_pass.ForwardPass.meta" title="sup3r.pipeline.forward_pass.ForwardPass.meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meta</span></code></a></p></td>
+<td><p>Meta data dictionary for the forward pass run (to write to output files).</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.pipeline.forward_pass.ForwardPass.get_input_chunk">
+<span class="sig-name descname"><span class="pre">get_input_chunk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">chunk_index</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'reflect'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/forward_pass.html#ForwardPass.get_input_chunk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.forward_pass.ForwardPass.get_input_chunk" title="Link to this definition">#</a></dt>
+<dd><p>Get <code class="xref py py-class docutils literal notranslate"><span class="pre">FowardPassChunk</span></code> instance for the given chunk index.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.forward_pass.ForwardPass.meta">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">meta</span></span><a class="headerlink" href="#sup3r.pipeline.forward_pass.ForwardPass.meta" title="Link to this definition">#</a></dt>
+<dd><p>Meta data dictionary for the forward pass run (to write to output
+files).</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.pipeline.forward_pass.ForwardPass.pad_source_data">
+<span class="sig-name descname"><span class="pre">pad_source_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_width</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">exo_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'reflect'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/forward_pass.html#ForwardPass.pad_source_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.forward_pass.ForwardPass.pad_source_data" title="Link to this definition">#</a></dt>
+<dd><p>Pad the edges of the source data from the data handler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_data</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – Source input data from data handler class, shape is:
+(spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>pad_width</strong> (<em>tuple</em>) – Tuple of tuples with padding width for spatial and temporal
+dimensions. Each tuple includes the start and end of padding for
+that dimension. Ordering is spatial_1, spatial_2, temporal.</p></li>
+<li><p><strong>exo_data</strong> (<em>dict</em>) – Full exo_handler_kwargs dictionary with all feature entries. See
+<a class="reference internal" href="#sup3r.pipeline.forward_pass.ForwardPass.run_generator" title="sup3r.pipeline.forward_pass.ForwardPass.run_generator"><code class="xref py py-meth docutils literal notranslate"><span class="pre">run_generator()</span></code></a> for more information.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Mode to use for padding. e.g. ‘reflect’.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>out</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – Padded copy of source input data from data handler class, shape is:
+(spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>exo_data</strong> (<em>dict</em>) – Same as input dictionary with s_enhance, t_enhance added to each
+step entry for all features</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.pipeline.forward_pass.ForwardPass.run_generator">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">run_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_chunk</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hr_crop_slices</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">exo_data</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/forward_pass.html#ForwardPass.run_generator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.forward_pass.ForwardPass.run_generator" title="Link to this definition">#</a></dt>
+<dd><p>Run forward pass of the generator on smallest data chunk. Each chunk
+has a maximum shape given by self.strategy.fwp_chunk_shape.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>data_chunk</strong> (<em>ndarray</em>) – Low res data chunk to go through generator</p></li>
+<li><p><strong>hr_crop_slices</strong> (<em>list</em>) – List of slices for extracting cropped region of interest from
+output. Output can include an extra overlapping boundary to
+reduce chunking error. The cropping cuts off this padded region
+before stitching chunks.</p></li>
+<li><p><strong>model</strong> (<em>Sup3rGan</em>) – A loaded Sup3rGan model (any model imported from sup3r.models).</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Factor by which to enhance temporal resolution</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Factor by which to enhance spatial resolution</p></li>
+<li><p><strong>exo_data</strong> (<em>dict | None</em>) – Dictionary of exogenous feature data with entries describing
+whether features should be combined at input, a mid network layer,
+or with output. e.g.
+.. code-block:: JSON</p>
+<blockquote>
+<div><dl class="simple">
+<dt>{</dt><dd><dl class="simple">
+<dt>‘topography’: {‘steps’: [</dt><dd><p>{‘combine_type’: ‘input’, ‘model’: 0, ‘data’: …},
+{‘combine_type’: ‘layer’, ‘model’: 0, ‘data’: …}]}</p>
+</dd>
+</dl>
+</dd>
+</dl>
+<p>}</p>
+</div></blockquote>
+</li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>ndarray</em> – High resolution data generated by GAN</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.pipeline.forward_pass.ForwardPass.get_node_cmd">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_node_cmd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/forward_pass.html#ForwardPass.get_node_cmd"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.forward_pass.ForwardPass.get_node_cmd" title="Link to this definition">#</a></dt>
+<dd><p>Get a CLI call to initialize ForwardPassStrategy and run ForwardPass
+on a single node based on an input config.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>config</strong> (<em>dict</em>) – sup3r forward pass config with all necessary args and kwargs to
+initialize ForwardPassStrategy and run ForwardPass on a single
+node.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.pipeline.forward_pass.ForwardPass.run">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">strategy</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/forward_pass.html#ForwardPass.run"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.forward_pass.ForwardPass.run" title="Link to this definition">#</a></dt>
+<dd><p>Runs forward passes on all spatiotemporal chunks for the given node
+index.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>strategy</strong> (<em>ForwardPassStrategy</em>) – ForwardPassStrategy instance with information on data chunks to run
+forward passes on.</p></li>
+<li><p><strong>node_index</strong> (<em>int</em>) – Index of node on which the forward passes for spatiotemporal chunks
+will be run.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.pipeline.forward_pass.ForwardPass.run_chunk">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">run_chunk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">chunk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sup3r.pipeline.strategy.ForwardPassChunk.html#sup3r.pipeline.strategy.ForwardPassChunk" title="sup3r.pipeline.strategy.ForwardPassChunk"><span class="pre">ForwardPassChunk</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_kwargs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_class</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">allowed_const</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">invert_uv</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/forward_pass.html#ForwardPass.run_chunk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.forward_pass.ForwardPass.run_chunk" title="Link to this definition">#</a></dt>
+<dd><p>Run a forward pass on single spatiotemporal chunk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>chunk</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">FowardPassChunk</span></code>) – Struct with chunk data (including exo data if applicable) and
+chunk attributes (e.g. chunk specific slices, times, lat/lon, etc)</p></li>
+<li><p><strong>model_kwargs</strong> (<em>str | list</em>) – Keyword arguments to send to <cite>model_class.load(**model_kwargs)</cite> to
+initialize the GAN. Typically this is just the string path to the
+model directory, but can be multiple models or arguments for more
+complex models.</p></li>
+<li><p><strong>model_class</strong> (<em>str</em>) – Name of the sup3r model class for the GAN model to load. The
+default is the basic spatial / spatiotemporal Sup3rGan model. This
+will be loaded from sup3r.models</p></li>
+<li><p><strong>allowed_const</strong> (<em>list | bool</em>) – If your model is allowed to output a constant output, set this to
+True to allow any constant output or a list of allowed possible
+constant outputs. See <code class="xref py py-class docutils literal notranslate"><span class="pre">ForwardPassStrategy</span></code> for more
+information on this argument.</p></li>
+<li><p><strong>invert_uv</strong> (<em>bool</em>) – Whether to convert uv to windspeed and winddirection for writing
+output. This defaults to True for H5 output and False for NETCDF
+output.</p></li>
+<li><p><strong>meta</strong> (<em>dict | None</em>) – Meta data to write to forward pass output file.</p></li>
+<li><p><strong>output_workers</strong> (<em>int | None</em>) – Max number of workers to use for writing forward pass output.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>failed</strong> (<em>bool</em>) – Whether the forward pass failed due to constant output.</p></li>
+<li><p><strong>output_data</strong> (<em>ndarray</em>) – Array of high-resolution output from generator</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.forward_pass.ForwardPass"><code class="docutils literal notranslate"><span class="pre">ForwardPass</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.forward_pass.ForwardPass.get_input_chunk"><code class="docutils literal notranslate"><span class="pre">ForwardPass.get_input_chunk()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.forward_pass.ForwardPass.meta"><code class="docutils literal notranslate"><span class="pre">ForwardPass.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.forward_pass.ForwardPass.pad_source_data"><code class="docutils literal notranslate"><span class="pre">ForwardPass.pad_source_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.forward_pass.ForwardPass.run_generator"><code class="docutils literal notranslate"><span class="pre">ForwardPass.run_generator()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.forward_pass.ForwardPass.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">ForwardPass.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.forward_pass.ForwardPass.run"><code class="docutils literal notranslate"><span class="pre">ForwardPass.run()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.forward_pass.ForwardPass.run_chunk"><code class="docutils literal notranslate"><span class="pre">ForwardPass.run_chunk()</span></code></a></li>
+</ul>
+</li>
+</ul>
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new file mode 100644
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+<p>Sup3r forward pass handling module.</p>
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+    <h1>sup3r.pipeline.forward_pass_cli</h1>
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+  <section id="module-sup3r.pipeline.forward_pass_cli">
+<span id="sup3r-pipeline-forward-pass-cli"></span><h1>sup3r.pipeline.forward_pass_cli<a class="headerlink" href="#module-sup3r.pipeline.forward_pass_cli" title="Link to this heading">#</a></h1>
+<p>sup3r forward pass CLI entry points.</p>
+<p class="rubric">Functions</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.pipeline.forward_pass_cli.kickoff_local_job.html#sup3r.pipeline.forward_pass_cli.kickoff_local_job" title="sup3r.pipeline.forward_pass_cli.kickoff_local_job"><code class="xref py py-obj docutils literal notranslate"><span class="pre">kickoff_local_job</span></code></a>(ctx, cmd[, pipeline_step])</p></td>
+<td><p>Run sup3r forward pass locally.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.pipeline.forward_pass_cli.kickoff_slurm_job.html#sup3r.pipeline.forward_pass_cli.kickoff_slurm_job" title="sup3r.pipeline.forward_pass_cli.kickoff_slurm_job"><code class="xref py py-obj docutils literal notranslate"><span class="pre">kickoff_slurm_job</span></code></a>(ctx, cmd[, pipeline_step, ...])</p></td>
+<td><p>Run sup3r on HPC via SLURM job submission.</p></td>
+</tr>
+</tbody>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.forward_pass_cli.kickoff_local_job"><code class="docutils literal notranslate"><span class="pre">kickoff_local_job()</span></code></a></li>
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+  <section id="sup3r-pipeline-forward-pass-cli-kickoff-local-job">
+<h1>sup3r.pipeline.forward_pass_cli.kickoff_local_job<a class="headerlink" href="#sup3r-pipeline-forward-pass-cli-kickoff-local-job" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.pipeline.forward_pass_cli.kickoff_local_job">
+<span class="sig-name descname"><span class="pre">kickoff_local_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ctx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cmd</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pipeline_step</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/forward_pass_cli.html#kickoff_local_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.forward_pass_cli.kickoff_local_job" title="Link to this definition">#</a></dt>
+<dd><p>Run sup3r forward pass locally.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>ctx</strong> (<em>click.pass_context</em>) – Click context object where ctx.obj is a dictionary</p></li>
+<li><p><strong>cmd</strong> (<em>str</em>) –</p>
+<dl class="simple">
+<dt>Command to be submitted in shell script. Example:</dt><dd><p>‘python -m sup3r.cli forward_pass -c &lt;config_file&gt;’</p>
+</dd>
+</dl>
+</li>
+<li><p><strong>pipeline_step</strong> (<em>str, optional</em>) – Name of the pipeline step being run. If <code class="docutils literal notranslate"><span class="pre">None</span></code>, the
+<code class="docutils literal notranslate"><span class="pre">pipeline_step</span></code> will be set to the <code class="docutils literal notranslate"><span class="pre">module_name</span></code>,
+mimicking old reV behavior. By default, <code class="docutils literal notranslate"><span class="pre">None</span></code>.</p></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.forward_pass_cli.kickoff_slurm_job"><code class="docutils literal notranslate"><span class="pre">kickoff_slurm_job()</span></code></a></li>
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+<h1>sup3r.pipeline.forward_pass_cli.kickoff_slurm_job<a class="headerlink" href="#sup3r-pipeline-forward-pass-cli-kickoff-slurm-job" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.pipeline.forward_pass_cli.kickoff_slurm_job">
+<span class="sig-name descname"><span class="pre">kickoff_slurm_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ctx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cmd</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pipeline_step</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alloc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sup3r'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">memory</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">walltime</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stdout_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'./stdout/'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/forward_pass_cli.html#kickoff_slurm_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.forward_pass_cli.kickoff_slurm_job" title="Link to this definition">#</a></dt>
+<dd><p>Run sup3r on HPC via SLURM job submission.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>ctx</strong> (<em>click.pass_context</em>) – Click context object where ctx.obj is a dictionary</p></li>
+<li><p><strong>cmd</strong> (<em>str</em>) –</p>
+<dl class="simple">
+<dt>Command to be submitted in SLURM shell script. Example:</dt><dd><p>‘python -m sup3r.cli forward_pass -c &lt;config_file&gt;’</p>
+</dd>
+</dl>
+</li>
+<li><p><strong>pipeline_step</strong> (<em>str, optional</em>) – Name of the pipeline step being run. If <code class="docutils literal notranslate"><span class="pre">None</span></code>, the
+<code class="docutils literal notranslate"><span class="pre">pipeline_step</span></code> will be set to the <code class="docutils literal notranslate"><span class="pre">module_name</span></code>,
+mimicking old reV behavior. By default, <code class="docutils literal notranslate"><span class="pre">None</span></code>.</p></li>
+<li><p><strong>alloc</strong> (<em>str</em>) – HPC project (allocation) handle. Example: ‘sup3r’.</p></li>
+<li><p><strong>memory</strong> (<em>int</em>) – Node memory request in GB.</p></li>
+<li><p><strong>walltime</strong> (<em>float</em>) – Node walltime request in hours.</p></li>
+<li><p><strong>feature</strong> (<em>str</em>) – Additional flags for SLURM job. Format is “–qos=high”
+or “–depend=[state:job_id]”. Default is None.</p></li>
+<li><p><strong>stdout_path</strong> (<em>str</em>) – Path to print .stdout and .stderr files.</p></li>
+</ul>
+</dd>
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+    <h1>sup3r.pipeline</h1>
+    <!-- Table of contents -->
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+  <section id="module-sup3r.pipeline">
+<span id="sup3r-pipeline"></span><h1>sup3r.pipeline<a class="headerlink" href="#module-sup3r.pipeline" title="Link to this heading">#</a></h1>
+<p>Sup3r data pipeline architecture.</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.pipeline.forward_pass.html#module-sup3r.pipeline.forward_pass" title="sup3r.pipeline.forward_pass"><code class="xref py py-obj docutils literal notranslate"><span class="pre">forward_pass</span></code></a></p></td>
+<td><p>Sup3r forward pass handling module.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.pipeline.forward_pass_cli.html#module-sup3r.pipeline.forward_pass_cli" title="sup3r.pipeline.forward_pass_cli"><code class="xref py py-obj docutils literal notranslate"><span class="pre">forward_pass_cli</span></code></a></p></td>
+<td><p>sup3r forward pass CLI entry points.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.pipeline.pipeline_cli.html#module-sup3r.pipeline.pipeline_cli" title="sup3r.pipeline.pipeline_cli"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pipeline_cli</span></code></a></p></td>
+<td><p>Pipeline CLI entry points.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.pipeline.slicer.html#module-sup3r.pipeline.slicer" title="sup3r.pipeline.slicer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">slicer</span></code></a></p></td>
+<td><p>Slicer class for chunking forward pass input</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.pipeline.strategy.html#module-sup3r.pipeline.strategy" title="sup3r.pipeline.strategy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">strategy</span></code></a></p></td>
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+    <h1>sup3r.pipeline.slicer.ForwardPassSlicer</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.get_spatial_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.get_spatial_slices()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.get_time_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.get_time_slices()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s_lr_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.s_lr_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s_lr_pad_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.s_lr_pad_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.t_lr_pad_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.t_lr_pad_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.t_lr_crop_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.t_lr_crop_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.t_hr_crop_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.t_hr_crop_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s1_hr_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.s1_hr_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s2_hr_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.s2_hr_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s_hr_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.s_hr_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s_lr_crop_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.s_lr_crop_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s_hr_crop_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.s_hr_crop_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.hr_crop_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.hr_crop_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s1_lr_pad_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.s1_lr_pad_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s2_lr_pad_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.s2_lr_pad_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s1_lr_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.s1_lr_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s2_lr_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.s2_lr_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.t_lr_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.t_lr_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.get_hr_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.get_hr_slices()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.chunk_lookup"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.chunk_lookup</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.spatial_chunk_lookup"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.spatial_chunk_lookup</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.n_spatial_chunks"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.n_spatial_chunks</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.n_time_chunks"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.n_time_chunks</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.n_chunks"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.n_chunks</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.get_padded_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.get_padded_slices()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.get_cropped_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.get_cropped_slices()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-pipeline-slicer-forwardpassslicer">
+<h1>sup3r.pipeline.slicer.ForwardPassSlicer<a class="headerlink" href="#sup3r-pipeline-slicer-forwardpassslicer" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ForwardPassSlicer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coarse_shape</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><span class="pre">tuple</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.13)"><span class="pre">list</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_steps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_slice</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#slice" title="(in Python v3.13)"><span class="pre">slice</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_pad</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">spatial_pad</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunk_shape</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><span class="pre">tuple</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.13)"><span class="pre">list</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/slicer.html#ForwardPassSlicer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<p>Get slices for sending data chunks through generator.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>coarse_shape</strong> (<em>tuple</em>) – Shape of full domain for low res data</p></li>
+<li><p><strong>time_steps</strong> (<em>int</em>) – Number of time steps for full temporal domain of low res data. This
+is used to construct a dummy_time_index from np.arange(time_steps)</p></li>
+<li><p><strong>time_slice</strong> (<em>slice | list</em>) – Slice to use to extract range from time_index. Can be a <code class="docutils literal notranslate"><span class="pre">slice(start,</span>
+<span class="pre">stop,</span> <span class="pre">step)</span></code> or list <code class="docutils literal notranslate"><span class="pre">[start,</span> <span class="pre">stop,</span> <span class="pre">step]</span></code></p></li>
+<li><p><strong>chunk_shape</strong> (<em>tuple</em>) – Max shape (spatial_1, spatial_2, temporal) of an unpadded coarse
+chunk to use for a forward pass. The number of nodes that the
+ForwardPassStrategy is set to distribute to is calculated by
+dividing up the total time index from all file_paths by the
+temporal part of this chunk shape. Each node will then be
+parallelized accross parallel processes by the spatial chunk shape.
+If temporal_pad / spatial_pad are non zero the chunk sent
+to the generator can be bigger than this shape. If running in
+serial set this equal to the shape of the full spatiotemporal data
+volume for best performance.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Spatial enhancement factor</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Temporal enhancement factor</p></li>
+<li><p><strong>spatial_pad</strong> (<em>int</em>) – Size of spatial overlap between coarse chunks passed to forward
+passes for subsequent spatial stitching. This overlap will pad both
+sides of the fwp_chunk_shape. Note that the first and last chunks
+in any of the spatial dimension will not be padded.</p></li>
+<li><p><strong>temporal_pad</strong> (<em>int</em>) – Size of temporal overlap between coarse chunks passed to forward
+passes for subsequent temporal stitching. This overlap will pad
+both sides of the fwp_chunk_shape. Note that the first and last
+chunks in the temporal dimension will not be padded.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.get_cropped_slices" title="sup3r.pipeline.slicer.ForwardPassSlicer.get_cropped_slices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_cropped_slices</span></code></a>(unpadded_slices, ...)</p></td>
+<td><p>Get cropped slices to cut off padded output</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.get_hr_slices" title="sup3r.pipeline.slicer.ForwardPassSlicer.get_hr_slices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_hr_slices</span></code></a>(slices, enhancement[, step])</p></td>
+<td><p>Get high resolution slices for temporal or spatial slices</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.get_padded_slices" title="sup3r.pipeline.slicer.ForwardPassSlicer.get_padded_slices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_padded_slices</span></code></a>(slices, shape, ...[, step])</p></td>
+<td><p>Get padded slices with the specified padding size, max shape, enhancement, and step size</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.get_spatial_slices" title="sup3r.pipeline.slicer.ForwardPassSlicer.get_spatial_slices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_spatial_slices</span></code></a>()</p></td>
+<td><p>Get spatial slices for small data chunks that are passed through generator</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.get_time_slices" title="sup3r.pipeline.slicer.ForwardPassSlicer.get_time_slices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_time_slices</span></code></a>()</p></td>
+<td><p>Calculate the number of time chunks across the full time index</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.chunk_lookup" title="sup3r.pipeline.slicer.ForwardPassSlicer.chunk_lookup"><code class="xref py py-obj docutils literal notranslate"><span class="pre">chunk_lookup</span></code></a></p></td>
+<td><p>Get a 3D array with shape (n_spatial_1_chunks, n_spatial_2_chunks, n_time_chunks) where each value is the chunk index.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.hr_crop_slices" title="sup3r.pipeline.slicer.ForwardPassSlicer.hr_crop_slices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_crop_slices</span></code></a></p></td>
+<td><p>Get high res spatiotemporal cropped slices for cropping generator output</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.n_chunks" title="sup3r.pipeline.slicer.ForwardPassSlicer.n_chunks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">n_chunks</span></code></a></p></td>
+<td><p>Get total number of spatiotemporal chunks</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.n_spatial_chunks" title="sup3r.pipeline.slicer.ForwardPassSlicer.n_spatial_chunks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">n_spatial_chunks</span></code></a></p></td>
+<td><p>Get the number of spatial chunks</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.n_time_chunks" title="sup3r.pipeline.slicer.ForwardPassSlicer.n_time_chunks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">n_time_chunks</span></code></a></p></td>
+<td><p>Get the number of temporal chunks</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s1_hr_slices" title="sup3r.pipeline.slicer.ForwardPassSlicer.s1_hr_slices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s1_hr_slices</span></code></a></p></td>
+<td><p>Get high res spatial slices for first spatial dimension</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s1_lr_pad_slices" title="sup3r.pipeline.slicer.ForwardPassSlicer.s1_lr_pad_slices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s1_lr_pad_slices</span></code></a></p></td>
+<td><p>List of low resolution spatial slices with padding for first spatial dimension</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s1_lr_slices" title="sup3r.pipeline.slicer.ForwardPassSlicer.s1_lr_slices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s1_lr_slices</span></code></a></p></td>
+<td><p>List of low resolution spatial slices for first spatial dimension considering padding on all sides of the spatial raster.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s2_hr_slices" title="sup3r.pipeline.slicer.ForwardPassSlicer.s2_hr_slices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s2_hr_slices</span></code></a></p></td>
+<td><p>Get high res spatial slices for second spatial dimension</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s2_lr_pad_slices" title="sup3r.pipeline.slicer.ForwardPassSlicer.s2_lr_pad_slices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s2_lr_pad_slices</span></code></a></p></td>
+<td><p>List of low resolution spatial slices with padding for second spatial dimension</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s2_lr_slices" title="sup3r.pipeline.slicer.ForwardPassSlicer.s2_lr_slices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s2_lr_slices</span></code></a></p></td>
+<td><p>List of low resolution spatial slices for second spatial dimension considering padding on all sides of the spatial raster.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s_hr_crop_slices" title="sup3r.pipeline.slicer.ForwardPassSlicer.s_hr_crop_slices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_hr_crop_slices</span></code></a></p></td>
+<td><p>Get high res cropped slices for cropping generator output</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s_hr_slices" title="sup3r.pipeline.slicer.ForwardPassSlicer.s_hr_slices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_hr_slices</span></code></a></p></td>
+<td><p>Get high res slices for indexing full generator output array</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s_lr_crop_slices" title="sup3r.pipeline.slicer.ForwardPassSlicer.s_lr_crop_slices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_lr_crop_slices</span></code></a></p></td>
+<td><p>Get low res cropped slices for cropping input chunk domain</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s_lr_pad_slices" title="sup3r.pipeline.slicer.ForwardPassSlicer.s_lr_pad_slices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_lr_pad_slices</span></code></a></p></td>
+<td><p>Get low res padded slices for small data chunks that are passed through generator</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s_lr_slices" title="sup3r.pipeline.slicer.ForwardPassSlicer.s_lr_slices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_lr_slices</span></code></a></p></td>
+<td><p>Get low res spatial slices for small data chunks that are passed through generator</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.spatial_chunk_lookup" title="sup3r.pipeline.slicer.ForwardPassSlicer.spatial_chunk_lookup"><code class="xref py py-obj docutils literal notranslate"><span class="pre">spatial_chunk_lookup</span></code></a></p></td>
+<td><p>Get a 2D array with shape (n_spatial_1_chunks, n_spatial_2_chunks) where each value is the spatial chunk index.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.t_hr_crop_slices" title="sup3r.pipeline.slicer.ForwardPassSlicer.t_hr_crop_slices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_hr_crop_slices</span></code></a></p></td>
+<td><p>Get high res temporal cropped slices for cropping forward pass output before stitching together</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.t_lr_crop_slices" title="sup3r.pipeline.slicer.ForwardPassSlicer.t_lr_crop_slices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_lr_crop_slices</span></code></a></p></td>
+<td><p>Get low res temporal cropped slices for cropping time index of padded input data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.t_lr_pad_slices" title="sup3r.pipeline.slicer.ForwardPassSlicer.t_lr_pad_slices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_lr_pad_slices</span></code></a></p></td>
+<td><p>Get low res temporal padded slices for distributing time chunks across nodes.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.slicer.ForwardPassSlicer.t_lr_slices" title="sup3r.pipeline.slicer.ForwardPassSlicer.t_lr_slices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_lr_slices</span></code></a></p></td>
+<td><p>Low resolution temporal slices</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">coarse_shape</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">time_steps</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhance</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhance</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">time_slice</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">temporal_pad</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">spatial_pad</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">chunk_shape</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.get_spatial_slices">
+<span class="sig-name descname"><span class="pre">get_spatial_slices</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/slicer.html#ForwardPassSlicer.get_spatial_slices"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.get_spatial_slices" title="Link to this definition">#</a></dt>
+<dd><p>Get spatial slices for small data chunks that are passed through
+generator</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><ul class="simple">
+<li><p><strong>s_lr_slices</strong> (<em>list</em>) – List of slices for low res data chunks which have not been padded.
+data_handler.data[s_lr_slice] corresponds to an unpadded low res
+input to the model.</p></li>
+<li><p><strong>s_lr_pad_slices</strong> (<em>list</em>) – List of slices which have been padded so that high res output
+can be stitched together. data_handler.data[s_lr_pad_slice]
+corresponds to a padded low res input to the model.</p></li>
+<li><p><strong>s_hr_slices</strong> (<em>list</em>) – List of slices for high res data corresponding to the
+lr_slices regions. output_array[s_hr_slice] corresponds to the
+cropped generator output.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.get_time_slices">
+<span class="sig-name descname"><span class="pre">get_time_slices</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/slicer.html#ForwardPassSlicer.get_time_slices"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.get_time_slices" title="Link to this definition">#</a></dt>
+<dd><p>Calculate the number of time chunks across the full time index</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><ul class="simple">
+<li><p><strong>t_lr_slices</strong> (<em>list</em>) – List of low-res non-padded time index slices. e.g. If
+fwp_chunk_size[2] is 5 then the size of these slices will always
+be 5.</p></li>
+<li><p><strong>t_lr_pad_slices</strong> (<em>list</em>) – List of low-res padded time index slices. e.g. If fwp_chunk_size[2]
+is 5 the size of these slices will be 15, with exceptions at the
+start and end of the full time index.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.s_lr_slices">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_lr_slices</span></span><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s_lr_slices" title="Link to this definition">#</a></dt>
+<dd><p>Get low res spatial slices for small data chunks that are passed
+through generator</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>_s_lr_slices</strong> (<em>list</em>) – List of spatial slices corresponding to the unpadded spatial region
+going through the generator</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.s_lr_pad_slices">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_lr_pad_slices</span></span><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s_lr_pad_slices" title="Link to this definition">#</a></dt>
+<dd><p>Get low res padded slices for small data chunks that are passed
+through generator</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>_s_lr_pad_slices</strong> (<em>list</em>) – List of slices which have been padded so that high res output
+can be stitched together. Each entry in this list has a slice for
+each spatial dimension. data_handler.data[s_lr_pad_slice] gives the
+padded data volume passed through the generator</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.t_lr_pad_slices">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">t_lr_pad_slices</span></span><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.t_lr_pad_slices" title="Link to this definition">#</a></dt>
+<dd><p>Get low res temporal padded slices for distributing time chunks
+across nodes. These slices correspond to the time chunks sent to each
+node and are padded according to temporal_pad.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>_t_lr_pad_slices</strong> (<em>list</em>) – List of low res temporal slices which have been padded so that high
+res output can be stitched together</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.t_lr_crop_slices">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">t_lr_crop_slices</span></span><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.t_lr_crop_slices" title="Link to this definition">#</a></dt>
+<dd><p>Get low res temporal cropped slices for cropping time index of
+padded input data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>_t_lr_crop_slices</strong> (<em>list</em>) – List of low res temporal slices for cropping padded input data</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.t_hr_crop_slices">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">t_hr_crop_slices</span></span><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.t_hr_crop_slices" title="Link to this definition">#</a></dt>
+<dd><p>Get high res temporal cropped slices for cropping forward pass
+output before stitching together</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>_t_hr_crop_slices</strong> (<em>list</em>) – List of high res temporal slices for cropping padded generator
+output</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.s1_hr_slices">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s1_hr_slices</span></span><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s1_hr_slices" title="Link to this definition">#</a></dt>
+<dd><p>Get high res spatial slices for first spatial dimension</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.s2_hr_slices">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s2_hr_slices</span></span><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s2_hr_slices" title="Link to this definition">#</a></dt>
+<dd><p>Get high res spatial slices for second spatial dimension</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.s_hr_slices">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_hr_slices</span></span><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s_hr_slices" title="Link to this definition">#</a></dt>
+<dd><p>Get high res slices for indexing full generator output array</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>_s_hr_slices</strong> (<em>list</em>) – List of high res slices. Each entry in this list has a slice for
+each spatial dimension. output[hr_slice] gives the superresolved
+domain corresponding to data_handler.data[lr_slice]</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.s_lr_crop_slices">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_lr_crop_slices</span></span><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s_lr_crop_slices" title="Link to this definition">#</a></dt>
+<dd><p>Get low res cropped slices for cropping input chunk domain</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>_s_lr_crop_slices</strong> (<em>list</em>) – List of low res cropped slices. Each entry in this list has a
+slice for each spatial dimension.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.s_hr_crop_slices">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s_hr_crop_slices</span></span><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s_hr_crop_slices" title="Link to this definition">#</a></dt>
+<dd><p>Get high res cropped slices for cropping generator output</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>_s_hr_crop_slices</strong> (<em>list</em>) – List of high res cropped slices. Each entry in this list has a
+slice for each spatial dimension.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.hr_crop_slices">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_crop_slices</span></span><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.hr_crop_slices" title="Link to this definition">#</a></dt>
+<dd><p>Get high res spatiotemporal cropped slices for cropping generator
+output</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>_hr_crop_slices</strong> (<em>list</em>) – List of high res spatiotemporal cropped slices. Each entry in this
+list has a crop slice for each spatial dimension and temporal
+dimension and then slice(None) for the feature dimension.
+model.generate()[hr_crop_slice] gives the cropped generator output
+corresponding to outpuUnion[np.ndarray, da.core.Array][hr_slice]</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.s1_lr_pad_slices">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s1_lr_pad_slices</span></span><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s1_lr_pad_slices" title="Link to this definition">#</a></dt>
+<dd><p>List of low resolution spatial slices with padding for first
+spatial dimension</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.s2_lr_pad_slices">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s2_lr_pad_slices</span></span><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s2_lr_pad_slices" title="Link to this definition">#</a></dt>
+<dd><p>List of low resolution spatial slices with padding for second
+spatial dimension</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.s1_lr_slices">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s1_lr_slices</span></span><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s1_lr_slices" title="Link to this definition">#</a></dt>
+<dd><p>List of low resolution spatial slices for first spatial dimension
+considering padding on all sides of the spatial raster.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.s2_lr_slices">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s2_lr_slices</span></span><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s2_lr_slices" title="Link to this definition">#</a></dt>
+<dd><p>List of low resolution spatial slices for second spatial dimension
+considering padding on all sides of the spatial raster.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.t_lr_slices">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">t_lr_slices</span></span><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.t_lr_slices" title="Link to this definition">#</a></dt>
+<dd><p>Low resolution temporal slices</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.get_hr_slices">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_hr_slices</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">slices</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">enhancement</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">step</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/slicer.html#ForwardPassSlicer.get_hr_slices"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.get_hr_slices" title="Link to this definition">#</a></dt>
+<dd><p>Get high resolution slices for temporal or spatial slices</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>slices</strong> (<em>list</em>) – Low resolution slices to be enhanced</p></li>
+<li><p><strong>enhancement</strong> (<em>int</em>) – Enhancement factor</p></li>
+<li><p><strong>step</strong> (<em>int | None</em>) – Step size for slices</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>hr_slices</strong> (<em>list</em>) – High resolution slices</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.chunk_lookup">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">chunk_lookup</span></span><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.chunk_lookup" title="Link to this definition">#</a></dt>
+<dd><p>Get a 3D array with shape
+(n_spatial_1_chunks, n_spatial_2_chunks, n_time_chunks)
+where each value is the chunk index.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.spatial_chunk_lookup">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">spatial_chunk_lookup</span></span><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.spatial_chunk_lookup" title="Link to this definition">#</a></dt>
+<dd><p>Get a 2D array with shape (n_spatial_1_chunks, n_spatial_2_chunks)
+where each value is the spatial chunk index.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.n_spatial_chunks">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">n_spatial_chunks</span></span><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.n_spatial_chunks" title="Link to this definition">#</a></dt>
+<dd><p>Get the number of spatial chunks</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.n_time_chunks">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">n_time_chunks</span></span><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.n_time_chunks" title="Link to this definition">#</a></dt>
+<dd><p>Get the number of temporal chunks</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.n_chunks">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">n_chunks</span></span><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.n_chunks" title="Link to this definition">#</a></dt>
+<dd><p>Get total number of spatiotemporal chunks</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.get_padded_slices">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_padded_slices</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">slices</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">enhancement</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">padding</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">step</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/slicer.html#ForwardPassSlicer.get_padded_slices"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.get_padded_slices" title="Link to this definition">#</a></dt>
+<dd><p>Get padded slices with the specified padding size, max shape,
+enhancement, and step size</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>slices</strong> (<em>list</em>) – List of low res unpadded slice</p></li>
+<li><p><strong>shape</strong> (<em>int</em>) – max possible index of a padded slice. e.g. if the slices are
+indexing a dimension with size 10 then a padded slice cannot have
+an index greater than 10.</p></li>
+<li><p><strong>enhancement</strong> (<em>int</em>) – Enhancement factor. e.g. If these slices are indexing a spatial
+dimension which will be enhanced by 2x then enhancement=2.</p></li>
+<li><p><strong>padding</strong> (<em>int</em>) – Padding factor. e.g. If these slices are indexing a spatial
+dimension and the spatial_pad is 10 this is 10. It will be
+multiplied by the enhancement factor if the slices are to be used
+to index an enhanced dimension.</p></li>
+<li><p><strong>step</strong> (<em>int | None</em>) – Step size for slices. e.g. If these slices are indexing a temporal
+dimension and time_slice.step = 3 then step=3.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>list</em> – Padded slices for temporal or spatial dimensions.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.pipeline.slicer.ForwardPassSlicer.get_cropped_slices">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_cropped_slices</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">unpadded_slices</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">padded_slices</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">enhancement</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/slicer.html#ForwardPassSlicer.get_cropped_slices"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.slicer.ForwardPassSlicer.get_cropped_slices" title="Link to this definition">#</a></dt>
+<dd><p>Get cropped slices to cut off padded output</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>unpadded_slices</strong> (<em>list</em>) – List of unpadded slices</p></li>
+<li><p><strong>padded_slices</strong> (<em>list</em>) – List of padded slices</p></li>
+<li><p><strong>enhancement</strong> (<em>int</em>) – Enhancement factor for the data to be cropped.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>list</em> – Cropped slices for temporal or spatial dimensions.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
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+    <i class="fa-solid fa-list"></i> Contents
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+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.get_spatial_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.get_spatial_slices()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.get_time_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.get_time_slices()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s_lr_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.s_lr_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s_lr_pad_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.s_lr_pad_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.t_lr_pad_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.t_lr_pad_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.t_lr_crop_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.t_lr_crop_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.t_hr_crop_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.t_hr_crop_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s1_hr_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.s1_hr_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s2_hr_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.s2_hr_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s_hr_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.s_hr_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s_lr_crop_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.s_lr_crop_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s_hr_crop_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.s_hr_crop_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.hr_crop_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.hr_crop_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s1_lr_pad_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.s1_lr_pad_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s2_lr_pad_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.s2_lr_pad_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s1_lr_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.s1_lr_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.s2_lr_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.s2_lr_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.t_lr_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.t_lr_slices</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.get_hr_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.get_hr_slices()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.chunk_lookup"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.chunk_lookup</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.spatial_chunk_lookup"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.spatial_chunk_lookup</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.n_spatial_chunks"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.n_spatial_chunks</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.n_time_chunks"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.n_time_chunks</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.n_chunks"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.n_chunks</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.get_padded_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.get_padded_slices()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.slicer.ForwardPassSlicer.get_cropped_slices"><code class="docutils literal notranslate"><span class="pre">ForwardPassSlicer.get_cropped_slices()</span></code></a></li>
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+<span id="sup3r-pipeline-slicer"></span><h1>sup3r.pipeline.slicer<a class="headerlink" href="#module-sup3r.pipeline.slicer" title="Link to this heading">#</a></h1>
+<p>Slicer class for chunking forward pass input</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
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+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer" title="sup3r.pipeline.slicer.ForwardPassSlicer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ForwardPassSlicer</span></code></a>(coarse_shape, time_steps, ...)</p></td>
+<td><p>Get slices for sending data chunks through generator.</p></td>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassChunk"><code class="docutils literal notranslate"><span class="pre">ForwardPassChunk</span></code></a></li>
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+  <section id="sup3r-pipeline-strategy-forwardpasschunk">
+<h1>sup3r.pipeline.strategy.ForwardPassChunk<a class="headerlink" href="#sup3r-pipeline-strategy-forwardpasschunk" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.pipeline.strategy.ForwardPassChunk">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ForwardPassChunk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">exo_data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Dict" title="(in Python v3.13)"><span class="pre">Dict</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">hr_crop_slice</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#slice" title="(in Python v3.13)"><span class="pre">slice</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lr_pad_slice</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#slice" title="(in Python v3.13)"><span class="pre">slice</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">hr_lat_lon</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hr_times</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">DatetimeIndex</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gids</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_width</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><span class="pre">tuple</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><span class="pre">tuple</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><span class="pre">tuple</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/strategy.html#ForwardPassChunk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.strategy.ForwardPassChunk" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<p>Structure storing chunk data and attributes for a specific chunk going
+through the generator.</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_data</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">exo_data</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_crop_slice</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_pad_slice</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_lat_lon</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_times</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">gids</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">out_file</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">pad_width</span></code></p></td>
+<td><p></p></td>
+</tr>
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+    <h1>sup3r.pipeline.strategy.ForwardPassStrategy</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.meta"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.init_input_handler"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.init_input_handler()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.node_chunks"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.node_chunks</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.unmasked_chunks"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.unmasked_chunks</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.preflight"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.get_chunk_indices"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.get_chunk_indices()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.hr_lat_lon"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.hr_lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.out_files"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.out_files</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.get_pad_width"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.get_pad_width()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.prep_chunk_data"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.prep_chunk_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.init_chunk"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.init_chunk()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.get_exo_kwargs"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.get_exo_kwargs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.get_exo_cache_files"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.get_exo_cache_files()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.load_exo_data"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.load_exo_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.fwp_mask"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.fwp_mask</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.node_finished"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.node_finished()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.chunk_finished"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.chunk_finished()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.chunk_masked"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.chunk_masked()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-pipeline-strategy-forwardpassstrategy">
+<h1>sup3r.pipeline.strategy.ForwardPassStrategy<a class="headerlink" href="#sup3r-pipeline-strategy-forwardpassstrategy" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.pipeline.strategy.ForwardPassStrategy">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ForwardPassStrategy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.13)"><span class="pre">list</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/pathlib.html#pathlib.Path" title="(in Python v3.13)"><span class="pre">Path</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_kwargs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">fwp_chunk_shape</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><span class="pre">tuple</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(None,</span> <span class="pre">None,</span> <span class="pre">None)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spatial_pad</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_pad</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_class</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'Sup3rGan'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_pattern</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_handler_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_handler_kwargs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">exo_handler_kwargs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_correct_method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_correct_kwargs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">allowed_const</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.13)"><span class="pre">list</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">incremental</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_workers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">invert_uv</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pass_workers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_nodes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">head_node</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/strategy.html#ForwardPassStrategy"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.strategy.ForwardPassStrategy" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<p>Class to prepare data for forward passes through generator.</p>
+<p>A full file list of contiguous times is provided. The corresponding data is
+split into spatiotemporal chunks which can overlap in time and space. These
+chunks are distributed across nodes according to the max nodes input or
+number of temporal chunks. This strategy stores information on these
+chunks, how they overlap, how they are distributed to nodes, and how to
+crop generator output to stich the chunks back together.</p>
+<p>Use the following inputs to initialize data handlers on different nodes and
+to define the size of the data chunks that will be passed through the
+generator.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>file_paths</strong> (<em>list | str</em>) – A list of low-resolution source files to extract raster data from.
+Each file must have the same number of timesteps. Can also pass a
+string with a unix-style file path which will be passed through
+glob.glob.</p>
+<p>Note: These files can also include a 2D (lat, lon) “mask” variable
+which is True for grid points which can be skipped in the forward pass
+and False otherwise. This will be used to skip running the forward pass
+for chunks which only include masked points. e.g. chunks covering only
+ocean. Chunks with even a single unmasked point will still be sent
+through the forward pass.</p>
+</li>
+<li><p><strong>model_kwargs</strong> (<em>str | list</em>) – Keyword arguments to send to <code class="docutils literal notranslate"><span class="pre">model_class.load(**model_kwargs)</span></code> to
+initialize the GAN. Typically this is just the string path to the
+model directory, but can be multiple models or arguments for more
+complex models.</p></li>
+<li><p><strong>fwp_chunk_shape</strong> (<em>tuple</em>) – Max shape (spatial_1, spatial_2, temporal) of an unpadded coarse chunk
+to use for a forward pass. The number of nodes that the
+<a class="reference internal" href="#sup3r.pipeline.strategy.ForwardPassStrategy" title="sup3r.pipeline.strategy.ForwardPassStrategy"><code class="xref py py-class docutils literal notranslate"><span class="pre">ForwardPassStrategy</span></code></a> is set to distribute to is calculated by
+dividing up the total time index from all file_paths by the temporal
+part of this chunk shape. Each node will then be parallelized across
+parallel processes by the spatial chunk shape.  If temporal_pad /
+spatial_pad are non zero the chunk sent to the generator can be bigger
+than this shape. If running in serial set this equal to the shape of
+the full spatiotemporal data volume for best performance.</p></li>
+<li><p><strong>spatial_pad</strong> (<em>int</em>) – Size of spatial overlap between coarse chunks passed to forward passes
+for subsequent spatial stitching. This overlap will pad both sides of
+the fwp_chunk_shape.</p></li>
+<li><p><strong>temporal_pad</strong> (<em>int</em>) – Size of temporal overlap between coarse chunks passed to forward passes
+for subsequent temporal stitching. This overlap will pad both sides of
+the fwp_chunk_shape.</p></li>
+<li><p><strong>model_class</strong> (<em>str</em>) – Name of the sup3r model class for the GAN model to load. The default is
+the basic spatial / spatiotemporal <code class="docutils literal notranslate"><span class="pre">Sup3rGan</span></code> model. This will be
+loaded from <code class="docutils literal notranslate"><span class="pre">sup3r.models</span></code></p></li>
+<li><p><strong>out_pattern</strong> (<em>str</em>) – Output file pattern. Must include {file_id} format key.  Each output
+file will have a unique file_id filled in and the ext determines the
+output type. If pattern is None then data will be returned in an array
+and not saved.</p></li>
+<li><p><strong>input_handler_name</strong> (<em>str | None</em>) – Class to use for input data. Provide a string name to match an
+rasterizer or handler class in <code class="docutils literal notranslate"><span class="pre">sup3r.preprocessing</span></code></p></li>
+<li><p><strong>input_handler_kwargs</strong> (<em>dict | None</em>) – Any kwargs for initializing the <code class="docutils literal notranslate"><span class="pre">input_handler_name</span></code> class.</p></li>
+<li><p><strong>exo_handler_kwargs</strong> (<em>dict | None</em>) – Dictionary of args to pass to
+<code class="xref py py-class docutils literal notranslate"><span class="pre">ExoDataHandler</span></code> for
+extracting exogenous features for foward passes. This should be
+a nested dictionary with keys for each exogenous feature. The
+dictionaries corresponding to the feature names should include the path
+to exogenous data source and the files used for input to the forward
+passes, at minimum. Can also provide a dictionary of
+<code class="docutils literal notranslate"><span class="pre">input_handler_kwargs</span></code> used for the handler which opens the
+exogenous data. e.g.:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="p">{</span><span class="s1">&#39;topography&#39;</span><span class="p">:</span> <span class="p">{</span>
+    <span class="s1">&#39;source_file&#39;</span><span class="p">:</span> <span class="o">...</span><span class="p">,</span>
+    <span class="s1">&#39;input_files&#39;</span><span class="p">:</span> <span class="o">...</span><span class="p">,</span>
+    <span class="s1">&#39;input_handler_kwargs&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;target&#39;</span><span class="p">:</span> <span class="o">...</span><span class="p">,</span> <span class="s1">&#39;shape&#39;</span><span class="p">:</span> <span class="o">...</span><span class="p">}}}</span>
+</pre></div>
+</div>
+</li>
+<li><p><strong>bias_correct_method</strong> (<em>str | None</em>) – Optional bias correction function name that can be imported from the
+<a class="reference internal" href="sup3r.bias.bias_transforms.html#module-sup3r.bias.bias_transforms" title="sup3r.bias.bias_transforms"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sup3r.bias.bias_transforms</span></code></a> module. This will transform the
+source data according to some predefined bias correction transformation
+along with the bias_correct_kwargs. As the first argument, this method
+must receive a generic numpy array of data to be bias corrected</p></li>
+<li><p><strong>bias_correct_kwargs</strong> (<em>dict | None</em>) – Optional namespace of kwargs to provide to bias_correct_method.  If
+this is provided, it must be a dictionary where each key is a feature
+name and each value is a dictionary of kwargs to correct that feature.
+You can bias correct only certain input features by only including
+those feature names in this dict.</p></li>
+<li><p><strong>allowed_const</strong> (<em>list | bool</em>) – Tensorflow has a tensor memory limit of 2GB (result of protobuf
+limitation) and when exceeded can return a tensor with a constant
+output. sup3r will raise a <code class="docutils literal notranslate"><span class="pre">MemoryError</span></code> in response. If your model
+is allowed to output a constant output, set this to True to allow any
+constant output or a list of allowed possible constant outputs. For
+example, a precipitation model should be allowed to output all zeros so
+set this to <code class="docutils literal notranslate"><span class="pre">[0]</span></code>. For details on this limit:
+<a class="github reference external" href="https://github.com/tensorflow/tensorflow/issues/51870">tensorflow/tensorflow#51870</a></p></li>
+<li><p><strong>incremental</strong> (<em>bool</em>) – Allow the forward pass iteration to skip spatiotemporal chunks that
+already have an output file (default = True) or iterate through all
+chunks and overwrite any pre-existing outputs (False).</p></li>
+<li><p><strong>output_workers</strong> (<em>int | None</em>) – Max number of workers to use for writing forward pass output.</p></li>
+<li><p><strong>invert_uv</strong> (<em>bool | None</em>) – Whether to convert u and v wind components to windspeed and direction
+for writing to output. This defaults to True for H5 output and False
+for NETCDF output.</p></li>
+<li><p><strong>pass_workers</strong> (<em>int | None</em>) – Max number of workers to use for performing forward passes on a single
+node. If 1 then all forward passes on chunks distributed to a single
+node will be run serially. pass_workers=2 is the minimum number of
+workers required to run the ForwardPass initialization and
+<a class="reference internal" href="sup3r.pipeline.forward_pass.ForwardPass.html#sup3r.pipeline.forward_pass.ForwardPass.run_chunk" title="sup3r.pipeline.forward_pass.ForwardPass.run_chunk"><code class="xref py py-meth docutils literal notranslate"><span class="pre">run_chunk()</span></code></a> methods concurrently.</p></li>
+<li><p><strong>max_nodes</strong> (<em>int | None</em>) – Maximum number of nodes to distribute spatiotemporal chunks across. If
+None then a node will be used for each temporal chunk.</p></li>
+<li><p><strong>head_node</strong> (<em>bool</em>) – Whether initialization is taking place on the head node of a multi node
+job launch. When this is true <a class="reference internal" href="#sup3r.pipeline.strategy.ForwardPassStrategy" title="sup3r.pipeline.strategy.ForwardPassStrategy"><code class="xref py py-class docutils literal notranslate"><span class="pre">ForwardPassStrategy</span></code></a> is only
+partially initialized to provide the head node enough information for
+how to distribute jobs across nodes. Preflight tasks like bias
+correction will be skipped because they will be performed on the nodes
+jobs are distributed to by the head node.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.strategy.ForwardPassStrategy.chunk_finished" title="sup3r.pipeline.strategy.ForwardPassStrategy.chunk_finished"><code class="xref py py-obj docutils literal notranslate"><span class="pre">chunk_finished</span></code></a>(chunk_idx[, log])</p></td>
+<td><p>Check if process for given chunk_index has already been run.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.strategy.ForwardPassStrategy.chunk_masked" title="sup3r.pipeline.strategy.ForwardPassStrategy.chunk_masked"><code class="xref py py-obj docutils literal notranslate"><span class="pre">chunk_masked</span></code></a>(chunk_idx[, log])</p></td>
+<td><p>Check if the region for this chunk is masked.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.strategy.ForwardPassStrategy.get_chunk_indices" title="sup3r.pipeline.strategy.ForwardPassStrategy.get_chunk_indices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_chunk_indices</span></code></a>(chunk_index)</p></td>
+<td><p>Get (spatial, temporal) indices for the given chunk index</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.strategy.ForwardPassStrategy.get_exo_cache_files" title="sup3r.pipeline.strategy.ForwardPassStrategy.get_exo_cache_files"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_exo_cache_files</span></code></a>(model)</p></td>
+<td><p>Get list of exo cache files so we can check if they exist or not.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.strategy.ForwardPassStrategy.get_exo_kwargs" title="sup3r.pipeline.strategy.ForwardPassStrategy.get_exo_kwargs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_exo_kwargs</span></code></a>(model)</p></td>
+<td><p>Get list of exo kwargs for all exo features.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.strategy.ForwardPassStrategy.get_pad_width" title="sup3r.pipeline.strategy.ForwardPassStrategy.get_pad_width"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_pad_width</span></code></a>(chunk_index)</p></td>
+<td><p>Get padding for the current spatiotemporal chunk</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.strategy.ForwardPassStrategy.init_chunk" title="sup3r.pipeline.strategy.ForwardPassStrategy.init_chunk"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_chunk</span></code></a>([chunk_index])</p></td>
+<td><p>Get <code class="xref py py-class docutils literal notranslate"><span class="pre">FowardPassChunk</span></code> instance for the given chunk index.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.strategy.ForwardPassStrategy.init_input_handler" title="sup3r.pipeline.strategy.ForwardPassStrategy.init_input_handler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_input_handler</span></code></a>()</p></td>
+<td><p>Get input handler instance for given input kwargs.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.strategy.ForwardPassStrategy.load_exo_data" title="sup3r.pipeline.strategy.ForwardPassStrategy.load_exo_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">load_exo_data</span></code></a>(model)</p></td>
+<td><p>Extract exogenous data for each exo feature and store data in dictionary with key for each exo feature</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.strategy.ForwardPassStrategy.node_finished" title="sup3r.pipeline.strategy.ForwardPassStrategy.node_finished"><code class="xref py py-obj docutils literal notranslate"><span class="pre">node_finished</span></code></a>(node_idx)</p></td>
+<td><p>Check if all out files for a given node have been saved</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.strategy.ForwardPassStrategy.preflight" title="sup3r.pipeline.strategy.ForwardPassStrategy.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Prelight logging and sanity checks</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.strategy.ForwardPassStrategy.prep_chunk_data" title="sup3r.pipeline.strategy.ForwardPassStrategy.prep_chunk_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">prep_chunk_data</span></code></a>([chunk_index])</p></td>
+<td><p>Get low res input data and exo data for given chunk index and bias correct low res data if requested.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">allowed_const</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">bias_correct_kwargs</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">bias_correct_method</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">exo_handler_kwargs</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">fwp_chunk_shape</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.strategy.ForwardPassStrategy.fwp_mask" title="sup3r.pipeline.strategy.ForwardPassStrategy.fwp_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fwp_mask</span></code></a></p></td>
+<td><p>Cached spatial mask which returns whether a given spatial chunk should be skipped by the forward pass or not.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">head_node</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.strategy.ForwardPassStrategy.hr_lat_lon" title="sup3r.pipeline.strategy.ForwardPassStrategy.hr_lat_lon"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_lat_lon</span></code></a></p></td>
+<td><p>Get high resolution lat lons</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">incremental</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_handler_kwargs</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_handler_name</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">invert_uv</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">max_nodes</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.strategy.ForwardPassStrategy.meta" title="sup3r.pipeline.strategy.ForwardPassStrategy.meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meta</span></code></a></p></td>
+<td><p>Meta data dictionary for the strategy.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">model_class</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.pipeline.strategy.ForwardPassStrategy.node_chunks" title="sup3r.pipeline.strategy.ForwardPassStrategy.node_chunks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">node_chunks</span></code></a></p></td>
+<td><p>Get array of lists such that node_chunks[i] is a list of indices for the chunks that will be sent through the generator on the ith node.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.strategy.ForwardPassStrategy.out_files" title="sup3r.pipeline.strategy.ForwardPassStrategy.out_files"><code class="xref py py-obj docutils literal notranslate"><span class="pre">out_files</span></code></a></p></td>
+<td><p>Get list of output file names for each file chunk forward pass.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">out_pattern</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">output_workers</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">pass_workers</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">spatial_pad</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">temporal_pad</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.pipeline.strategy.ForwardPassStrategy.unmasked_chunks" title="sup3r.pipeline.strategy.ForwardPassStrategy.unmasked_chunks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">unmasked_chunks</span></code></a></p></td>
+<td><p>List of chunk indices that are not masked from the input spatial region.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">file_paths</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">model_kwargs</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.strategy.ForwardPassStrategy.meta">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">meta</span></span><a class="headerlink" href="#sup3r.pipeline.strategy.ForwardPassStrategy.meta" title="Link to this definition">#</a></dt>
+<dd><p>Meta data dictionary for the strategy. Used to add info to forward
+pass output meta.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.pipeline.strategy.ForwardPassStrategy.init_input_handler">
+<span class="sig-name descname"><span class="pre">init_input_handler</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/strategy.html#ForwardPassStrategy.init_input_handler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.strategy.ForwardPassStrategy.init_input_handler" title="Link to this definition">#</a></dt>
+<dd><p>Get input handler instance for given input kwargs. If self.head_node
+is False we get all requested features. Otherwise this is part of
+initialization on a head node and just used to get the shape of the
+input domain, so we don’t need to get any features yet.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.strategy.ForwardPassStrategy.node_chunks">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">node_chunks</span></span><a class="headerlink" href="#sup3r.pipeline.strategy.ForwardPassStrategy.node_chunks" title="Link to this definition">#</a></dt>
+<dd><p>Get array of lists such that node_chunks[i] is a list of
+indices for the chunks that will be sent through the generator on the
+ith node.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.strategy.ForwardPassStrategy.unmasked_chunks">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">unmasked_chunks</span></span><a class="headerlink" href="#sup3r.pipeline.strategy.ForwardPassStrategy.unmasked_chunks" title="Link to this definition">#</a></dt>
+<dd><p>List of chunk indices that are not masked from the input spatial
+region. These chunks are those that will go through the forward pass.
+Masked chunks will be skipped.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.pipeline.strategy.ForwardPassStrategy.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/strategy.html#ForwardPassStrategy.preflight"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.strategy.ForwardPassStrategy.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Prelight logging and sanity checks</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.pipeline.strategy.ForwardPassStrategy.get_chunk_indices">
+<span class="sig-name descname"><span class="pre">get_chunk_indices</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">chunk_index</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/strategy.html#ForwardPassStrategy.get_chunk_indices"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.strategy.ForwardPassStrategy.get_chunk_indices" title="Link to this definition">#</a></dt>
+<dd><p>Get (spatial, temporal) indices for the given chunk index</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.strategy.ForwardPassStrategy.hr_lat_lon">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_lat_lon</span></span><a class="headerlink" href="#sup3r.pipeline.strategy.ForwardPassStrategy.hr_lat_lon" title="Link to this definition">#</a></dt>
+<dd><p>Get high resolution lat lons</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.strategy.ForwardPassStrategy.out_files">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">out_files</span></span><a class="headerlink" href="#sup3r.pipeline.strategy.ForwardPassStrategy.out_files" title="Link to this definition">#</a></dt>
+<dd><p>Get list of output file names for each file chunk forward pass.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.pipeline.strategy.ForwardPassStrategy.get_pad_width">
+<span class="sig-name descname"><span class="pre">get_pad_width</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">chunk_index</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/strategy.html#ForwardPassStrategy.get_pad_width"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.strategy.ForwardPassStrategy.get_pad_width" title="Link to this definition">#</a></dt>
+<dd><p>Get padding for the current spatiotemporal chunk</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>padding</strong> (<em>tuple</em>) – Tuple of tuples with padding width for spatial and temporal
+dimensions. Each tuple includes the start and end of padding for
+that dimension. Ordering is spatial_1, spatial_2, temporal.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.pipeline.strategy.ForwardPassStrategy.prep_chunk_data">
+<span class="sig-name descname"><span class="pre">prep_chunk_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">chunk_index</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/strategy.html#ForwardPassStrategy.prep_chunk_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.strategy.ForwardPassStrategy.prep_chunk_data" title="Link to this definition">#</a></dt>
+<dd><p>Get low res input data and exo data for given chunk index and bias
+correct low res data if requested.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p><code class="docutils literal notranslate"><span class="pre">input_data.load()</span></code> is called here to load chunk data into memory</p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.pipeline.strategy.ForwardPassStrategy.init_chunk">
+<span class="sig-name descname"><span class="pre">init_chunk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">chunk_index</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/strategy.html#ForwardPassStrategy.init_chunk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.strategy.ForwardPassStrategy.init_chunk" title="Link to this definition">#</a></dt>
+<dd><p>Get <code class="xref py py-class docutils literal notranslate"><span class="pre">FowardPassChunk</span></code> instance for the given chunk index.</p>
+<p>This selects the appropriate data from <cite>self.input_handler</cite> and
+<cite>self.exo_data</cite> and returns a structure object (<cite>ForwardPassChunk</cite>)
+with that data and other chunk specific attributes.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.pipeline.strategy.ForwardPassStrategy.get_exo_kwargs">
+<span class="sig-name descname"><span class="pre">get_exo_kwargs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/strategy.html#ForwardPassStrategy.get_exo_kwargs"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.strategy.ForwardPassStrategy.get_exo_kwargs" title="Link to this definition">#</a></dt>
+<dd><p>Get list of exo kwargs for all exo features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.pipeline.strategy.ForwardPassStrategy.get_exo_cache_files">
+<span class="sig-name descname"><span class="pre">get_exo_cache_files</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/strategy.html#ForwardPassStrategy.get_exo_cache_files"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.strategy.ForwardPassStrategy.get_exo_cache_files" title="Link to this definition">#</a></dt>
+<dd><p>Get list of exo cache files so we can check if they exist or not.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.pipeline.strategy.ForwardPassStrategy.load_exo_data">
+<span class="sig-name descname"><span class="pre">load_exo_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/strategy.html#ForwardPassStrategy.load_exo_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.strategy.ForwardPassStrategy.load_exo_data" title="Link to this definition">#</a></dt>
+<dd><p>Extract exogenous data for each exo feature and store data in
+dictionary with key for each exo feature</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>exo_data</strong> (<em>ExoData</em>) – <code class="xref py py-class docutils literal notranslate"><span class="pre">ExoData</span></code> object composed of multiple
+<code class="xref py py-class docutils literal notranslate"><span class="pre">SingleExoDataStep</span></code> objects. This is the exo data for the
+full spatiotemporal extent.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.pipeline.strategy.ForwardPassStrategy.fwp_mask">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">fwp_mask</span></span><a class="headerlink" href="#sup3r.pipeline.strategy.ForwardPassStrategy.fwp_mask" title="Link to this definition">#</a></dt>
+<dd><p>Cached spatial mask which returns whether a given spatial chunk
+should be skipped by the forward pass or not. This is used to skip
+running the forward pass for area with just ocean, for example.</p>
+<p>Note: This is True for grid points which can be skipped in the
+forward pass and False otherwise.</p>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.pipeline.strategy.ForwardPassStrategy" title="sup3r.pipeline.strategy.ForwardPassStrategy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sup3r.pipeline.strategy.ForwardPassStrategy</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.pipeline.strategy.ForwardPassStrategy.node_finished">
+<span class="sig-name descname"><span class="pre">node_finished</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_idx</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/strategy.html#ForwardPassStrategy.node_finished"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.strategy.ForwardPassStrategy.node_finished" title="Link to this definition">#</a></dt>
+<dd><p>Check if all out files for a given node have been saved</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.pipeline.strategy.ForwardPassStrategy.chunk_finished">
+<span class="sig-name descname"><span class="pre">chunk_finished</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">chunk_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/strategy.html#ForwardPassStrategy.chunk_finished"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.strategy.ForwardPassStrategy.chunk_finished" title="Link to this definition">#</a></dt>
+<dd><p>Check if process for given chunk_index has already been run.
+Considered finished if there is already an output file and incremental
+is False.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.pipeline.strategy.ForwardPassStrategy.chunk_masked">
+<span class="sig-name descname"><span class="pre">chunk_masked</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">chunk_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/strategy.html#ForwardPassStrategy.chunk_masked"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.strategy.ForwardPassStrategy.chunk_masked" title="Link to this definition">#</a></dt>
+<dd><p>Check if the region for this chunk is masked. This is used to skip
+running the forward pass for region with just ocean, for example.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.meta"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.init_input_handler"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.init_input_handler()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.node_chunks"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.node_chunks</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.unmasked_chunks"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.unmasked_chunks</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.preflight"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.get_chunk_indices"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.get_chunk_indices()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.hr_lat_lon"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.hr_lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.out_files"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.out_files</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.get_pad_width"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.get_pad_width()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.prep_chunk_data"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.prep_chunk_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.init_chunk"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.init_chunk()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.get_exo_kwargs"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.get_exo_kwargs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.get_exo_cache_files"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.get_exo_cache_files()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.load_exo_data"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.load_exo_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.fwp_mask"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.fwp_mask</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.node_finished"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.node_finished()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.chunk_finished"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.chunk_finished()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.strategy.ForwardPassStrategy.chunk_masked"><code class="docutils literal notranslate"><span class="pre">ForwardPassStrategy.chunk_masked()</span></code></a></li>
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+  <section id="module-sup3r.pipeline.strategy">
+<span id="sup3r-pipeline-strategy"></span><h1>sup3r.pipeline.strategy<a class="headerlink" href="#module-sup3r.pipeline.strategy" title="Link to this heading">#</a></h1>
+<p><a class="reference internal" href="sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy" title="sup3r.pipeline.strategy.ForwardPassStrategy"><code class="xref py py-class docutils literal notranslate"><span class="pre">ForwardPassStrategy</span></code></a> class. This sets up chunks and needed generator
+inputs to distribute forward passes.</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.pipeline.strategy.ForwardPassChunk.html#sup3r.pipeline.strategy.ForwardPassChunk" title="sup3r.pipeline.strategy.ForwardPassChunk"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ForwardPassChunk</span></code></a>(input_data, exo_data, ...)</p></td>
+<td><p>Structure storing chunk data and attributes for a specific chunk going through the generator.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy" title="sup3r.pipeline.strategy.ForwardPassStrategy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ForwardPassStrategy</span></code></a>(file_paths, model_kwargs)</p></td>
+<td><p>Class to prepare data for forward passes through generator.</p></td>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.pipeline.utilities.get_chunk_slices"><code class="docutils literal notranslate"><span class="pre">get_chunk_slices()</span></code></a></li>
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+  <section id="sup3r-pipeline-utilities-get-chunk-slices">
+<h1>sup3r.pipeline.utilities.get_chunk_slices<a class="headerlink" href="#sup3r-pipeline-utilities-get-chunk-slices" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.pipeline.utilities.get_chunk_slices">
+<span class="sig-name descname"><span class="pre">get_chunk_slices</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">arr_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunk_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">index_slice</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">slice(None,</span> <span class="pre">None,</span> <span class="pre">None)</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/utilities.html#get_chunk_slices"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.utilities.get_chunk_slices" title="Link to this definition">#</a></dt>
+<dd><p>Get array slices of corresponding chunk size</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>arr_size</strong> (<em>int</em>) – Length of array to slice</p></li>
+<li><p><strong>chunk_size</strong> (<em>int</em>) – Size of slices to split array into</p></li>
+<li><p><strong>index_slice</strong> (<em>slice</em>) – Slice specifying starting and ending index of slice list</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>list</em> – List of slices corresponding to chunks of array</p>
+</dd>
+</dl>
+</dd></dl>
+
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+  <section id="sup3r-pipeline-utilities-get-model">
+<h1>sup3r.pipeline.utilities.get_model<a class="headerlink" href="#sup3r-pipeline-utilities-get-model" title="Link to this heading">#</a></h1>
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+<dt class="sig sig-object py" id="sup3r.pipeline.utilities.get_model">
+<span class="sig-name descname"><span class="pre">get_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_class</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/pipeline/utilities.html#get_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.pipeline.utilities.get_model" title="Link to this definition">#</a></dt>
+<dd><p>Instantiate model after check on class name.</p>
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+<span id="sup3r-pipeline-utilities"></span><h1>sup3r.pipeline.utilities<a class="headerlink" href="#module-sup3r.pipeline.utilities" title="Link to this heading">#</a></h1>
+<p>Methods used by <code class="xref py py-class docutils literal notranslate"><span class="pre">ForwardPass</span></code> and <code class="xref py py-class docutils literal notranslate"><span class="pre">ForwardPassStrategy</span></code></p>
+<p class="rubric">Functions</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
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+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.pipeline.utilities.get_chunk_slices.html#sup3r.pipeline.utilities.get_chunk_slices" title="sup3r.pipeline.utilities.get_chunk_slices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_chunk_slices</span></code></a>(arr_size, chunk_size[, ...])</p></td>
+<td><p>Get array slices of corresponding chunk size</p></td>
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+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.pipeline.utilities.get_model.html#sup3r.pipeline.utilities.get_model" title="sup3r.pipeline.utilities.get_model"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_model</span></code></a>(model_class, kwargs)</p></td>
+<td><p>Instantiate model after check on class name.</p></td>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>sup3r.postprocessing.collectors.base.BaseCollector</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.base.BaseCollector"><code class="docutils literal notranslate"><span class="pre">BaseCollector</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.base.BaseCollector.get_chunk_indices"><code class="docutils literal notranslate"><span class="pre">BaseCollector.get_chunk_indices()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.base.BaseCollector.collect"><code class="docutils literal notranslate"><span class="pre">BaseCollector.collect()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.base.BaseCollector.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">BaseCollector.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.base.BaseCollector.get_dset_attrs"><code class="docutils literal notranslate"><span class="pre">BaseCollector.get_dset_attrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.base.BaseCollector.get_time_dim_name"><code class="docutils literal notranslate"><span class="pre">BaseCollector.get_time_dim_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.base.BaseCollector.write_data"><code class="docutils literal notranslate"><span class="pre">BaseCollector.write_data()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
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+                <article class="bd-article">
+                  
+  <section id="sup3r-postprocessing-collectors-base-basecollector">
+<h1>sup3r.postprocessing.collectors.base.BaseCollector<a class="headerlink" href="#sup3r-postprocessing-collectors-base-basecollector" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.base.BaseCollector">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">BaseCollector</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/collectors/base.html#BaseCollector"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.collectors.base.BaseCollector" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.postprocessing.writers.base.OutputMixin.html#sup3r.postprocessing.writers.base.OutputMixin" title="sup3r.postprocessing.writers.base.OutputMixin"><code class="xref py py-class docutils literal notranslate"><span class="pre">OutputMixin</span></code></a>, <a class="reference external" href="https://docs.python.org/3/library/abc.html#abc.ABC" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">ABC</span></code></a></p>
+<p>Base collector class for H5/NETCDF collection</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>file_paths</strong> (<em>list | str</em>) – Explicit list of str file paths that will be sorted and collected
+or a single string with unix-style /search/patt*ern.&lt;ext&gt;. Files
+should have non-overlapping time_index and spatial domains.</p>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.base.BaseCollector.collect" title="sup3r.postprocessing.collectors.base.BaseCollector.collect"><code class="xref py py-obj docutils literal notranslate"><span class="pre">collect</span></code></a>(*args, **kwargs)</p></td>
+<td><p>Collect data files from a dir to one output file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.base.BaseCollector.get_chunk_indices" title="sup3r.postprocessing.collectors.base.BaseCollector.get_chunk_indices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_chunk_indices</span></code></a>(file)</p></td>
+<td><p>Get spatial and temporal chunk indices from the given file name.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.base.BaseCollector.get_dset_attrs" title="sup3r.postprocessing.collectors.base.BaseCollector.get_dset_attrs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_dset_attrs</span></code></a>(feature)</p></td>
+<td><p>Get attrributes for output feature</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.base.BaseCollector.get_node_cmd" title="sup3r.postprocessing.collectors.base.BaseCollector.get_node_cmd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_node_cmd</span></code></a>(config)</p></td>
+<td><p>Get a CLI call to collect data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.base.BaseCollector.get_time_dim_name" title="sup3r.postprocessing.collectors.base.BaseCollector.get_time_dim_name"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_time_dim_name</span></code></a>(filepath)</p></td>
+<td><p>Get the name of the time dimension in the given file</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.base.BaseCollector.write_data" title="sup3r.postprocessing.collectors.base.BaseCollector.write_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_data</span></code></a>(out_file, dsets, time_index, ...)</p></td>
+<td><p>Write list of datasets to out_file.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.base.BaseCollector.get_chunk_indices">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_chunk_indices</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/collectors/base.html#BaseCollector.get_chunk_indices"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.collectors.base.BaseCollector.get_chunk_indices" title="Link to this definition">#</a></dt>
+<dd><p>Get spatial and temporal chunk indices from the given file name.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><ul class="simple">
+<li><p><strong>temporal_chunk_index</strong> (<em>str</em>) – Zero padded integer for the temporal chunk index</p></li>
+<li><p><strong>spatial_chunk_index</strong> (<em>str</em>) – Zero padded integer for the spatial chunk index</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.base.BaseCollector.collect">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">collect</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/collectors/base.html#BaseCollector.collect"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.collectors.base.BaseCollector.collect" title="Link to this definition">#</a></dt>
+<dd><p>Collect data files from a dir to one output file.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.base.BaseCollector.get_node_cmd">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_node_cmd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/collectors/base.html#BaseCollector.get_node_cmd"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.collectors.base.BaseCollector.get_node_cmd" title="Link to this definition">#</a></dt>
+<dd><p>Get a CLI call to collect data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>config</strong> (<em>dict</em>) – sup3r collection config with all necessary args and kwargs to
+run data collection.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.base.BaseCollector.get_dset_attrs">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_dset_attrs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.collectors.base.BaseCollector.get_dset_attrs" title="Link to this definition">#</a></dt>
+<dd><p>Get attrributes for output feature</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>feature</strong> (<em>str</em>) – Name of feature to write</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>attrs</strong> (<em>dict</em>) – Dictionary of attributes for requested dset</p></li>
+<li><p><strong>dtype</strong> (<em>str</em>) – Data type for requested dset. Defaults to float32</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.base.BaseCollector.get_time_dim_name">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_time_dim_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.collectors.base.BaseCollector.get_time_dim_name" title="Link to this definition">#</a></dt>
+<dd><p>Get the name of the time dimension in the given file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>filepath</strong> (<em>str</em>) – Path to the file</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>time_key</strong> (<em>str</em>) – Name of the time dimension in the given file</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.base.BaseCollector.write_data">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">write_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dsets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">global_attrs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.collectors.base.BaseCollector.write_data" title="Link to this definition">#</a></dt>
+<dd><p>Write list of datasets to out_file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>out_file</strong> (<em>str</em>) – Pre-existing H5 file output path</p></li>
+<li><p><strong>dsets</strong> (<em>list</em>) – list of datasets to write to out_file</p></li>
+<li><p><strong>time_index</strong> (<em>pd.DatetimeIndex()</em>) – Pandas datetime index to use for file time_index.</p></li>
+<li><p><strong>data_list</strong> (<em>list</em>) – List of np.ndarray objects to write to out_file</p></li>
+<li><p><strong>meta</strong> (<em>pd.DataFrame</em>) – Full meta dataframe for the final output data.</p></li>
+<li><p><strong>global_attrs</strong> (<em>dict</em>) – Namespace of file-global attributes for the final output data.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.base.BaseCollector"><code class="docutils literal notranslate"><span class="pre">BaseCollector</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.base.BaseCollector.get_chunk_indices"><code class="docutils literal notranslate"><span class="pre">BaseCollector.get_chunk_indices()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.base.BaseCollector.collect"><code class="docutils literal notranslate"><span class="pre">BaseCollector.collect()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.base.BaseCollector.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">BaseCollector.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.base.BaseCollector.get_dset_attrs"><code class="docutils literal notranslate"><span class="pre">BaseCollector.get_dset_attrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.base.BaseCollector.get_time_dim_name"><code class="docutils literal notranslate"><span class="pre">BaseCollector.get_time_dim_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.base.BaseCollector.write_data"><code class="docutils literal notranslate"><span class="pre">BaseCollector.write_data()</span></code></a></li>
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+  <section id="module-sup3r.postprocessing.collectors.base">
+<span id="sup3r-postprocessing-collectors-base"></span><h1>sup3r.postprocessing.collectors.base<a class="headerlink" href="#module-sup3r.postprocessing.collectors.base" title="Link to this heading">#</a></h1>
+<p>H5/NETCDF file collection.</p>
+<p class="rubric">Classes</p>
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+<td><p>Base collector class for H5/NETCDF collection</p></td>
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+    <h1>sup3r.postprocessing.collectors.h5.CollectorH5</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5"><code class="docutils literal notranslate"><span class="pre">CollectorH5</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_slices"><code class="docutils literal notranslate"><span class="pre">CollectorH5.get_slices()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_coordinate_indices"><code class="docutils literal notranslate"><span class="pre">CollectorH5.get_coordinate_indices()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_data"><code class="docutils literal notranslate"><span class="pre">CollectorH5.get_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_unique_chunk_files"><code class="docutils literal notranslate"><span class="pre">CollectorH5.get_unique_chunk_files()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_target_and_masked_meta"><code class="docutils literal notranslate"><span class="pre">CollectorH5.get_target_and_masked_meta()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_collection_attrs"><code class="docutils literal notranslate"><span class="pre">CollectorH5.get_collection_attrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_flist_chunks"><code class="docutils literal notranslate"><span class="pre">CollectorH5.get_flist_chunks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.collect_feature"><code class="docutils literal notranslate"><span class="pre">CollectorH5.collect_feature()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.collect"><code class="docutils literal notranslate"><span class="pre">CollectorH5.collect()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_chunk_indices"><code class="docutils literal notranslate"><span class="pre">CollectorH5.get_chunk_indices()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_dset_attrs"><code class="docutils literal notranslate"><span class="pre">CollectorH5.get_dset_attrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">CollectorH5.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_time_dim_name"><code class="docutils literal notranslate"><span class="pre">CollectorH5.get_time_dim_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.write_data"><code class="docutils literal notranslate"><span class="pre">CollectorH5.write_data()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-postprocessing-collectors-h5-collectorh5">
+<h1>sup3r.postprocessing.collectors.h5.CollectorH5<a class="headerlink" href="#sup3r-postprocessing-collectors-h5-collectorh5" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.h5.CollectorH5">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">CollectorH5</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/collectors/h5.html#CollectorH5"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.collectors.h5.CollectorH5" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.postprocessing.collectors.base.BaseCollector.html#sup3r.postprocessing.collectors.base.BaseCollector" title="sup3r.postprocessing.collectors.base.BaseCollector"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseCollector</span></code></a></p>
+<p>Sup3r H5 file collection framework</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>file_paths</strong> (<em>list | str</em>) – Explicit list of str file paths that will be sorted and collected
+or a single string with unix-style /search/patt*ern.&lt;ext&gt;. Files
+should have non-overlapping time_index and spatial domains.</p>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.h5.CollectorH5.collect" title="sup3r.postprocessing.collectors.h5.CollectorH5.collect"><code class="xref py py-obj docutils literal notranslate"><span class="pre">collect</span></code></a>(file_paths, out_file, features[, ...])</p></td>
+<td><p>Collect data files from a dir to one output file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.h5.CollectorH5.collect_feature" title="sup3r.postprocessing.collectors.h5.CollectorH5.collect_feature"><code class="xref py py-obj docutils literal notranslate"><span class="pre">collect_feature</span></code></a>(dset, target_masked_meta, ...)</p></td>
+<td><p>Collect chunks for single feature</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_chunk_indices" title="sup3r.postprocessing.collectors.h5.CollectorH5.get_chunk_indices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_chunk_indices</span></code></a>(file)</p></td>
+<td><p>Get spatial and temporal chunk indices from the given file name.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_collection_attrs" title="sup3r.postprocessing.collectors.h5.CollectorH5.get_collection_attrs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_collection_attrs</span></code></a>(file_paths[, ...])</p></td>
+<td><p>Get important dataset attributes from a file list to be collected.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_coordinate_indices" title="sup3r.postprocessing.collectors.h5.CollectorH5.get_coordinate_indices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_coordinate_indices</span></code></a>(target_meta, full_meta)</p></td>
+<td><p>Get coordindate indices in meta data for given targets</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_data" title="sup3r.postprocessing.collectors.h5.CollectorH5.get_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_data</span></code></a>(file_path, feature, time_index, ...)</p></td>
+<td><p>Retreive a data array from a chunked file.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_dset_attrs" title="sup3r.postprocessing.collectors.h5.CollectorH5.get_dset_attrs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_dset_attrs</span></code></a>(feature)</p></td>
+<td><p>Get attrributes for output feature</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_flist_chunks" title="sup3r.postprocessing.collectors.h5.CollectorH5.get_flist_chunks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_flist_chunks</span></code></a>(file_paths[, n_writes])</p></td>
+<td><p>Group files by temporal_chunk_index and then combines these groups if <code class="docutils literal notranslate"><span class="pre">n_writes</span></code> is less than the number of time_chunks.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_node_cmd" title="sup3r.postprocessing.collectors.h5.CollectorH5.get_node_cmd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_node_cmd</span></code></a>(config)</p></td>
+<td><p>Get a CLI call to collect data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_slices" title="sup3r.postprocessing.collectors.h5.CollectorH5.get_slices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_slices</span></code></a>(final_time_index, final_meta, ...)</p></td>
+<td><p>Get index slices where the new ti/meta belong in the final ti/meta.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_target_and_masked_meta" title="sup3r.postprocessing.collectors.h5.CollectorH5.get_target_and_masked_meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_target_and_masked_meta</span></code></a>(meta[, ...])</p></td>
+<td><p>Use combined meta for all files and target_meta_file to get mapping from the full meta to the target meta and the mapping from the target meta to the full meta, both of which are masked to remove coordinates not present in the target_meta.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_time_dim_name" title="sup3r.postprocessing.collectors.h5.CollectorH5.get_time_dim_name"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_time_dim_name</span></code></a>(filepath)</p></td>
+<td><p>Get the name of the time dimension in the given file</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_unique_chunk_files" title="sup3r.postprocessing.collectors.h5.CollectorH5.get_unique_chunk_files"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_unique_chunk_files</span></code></a>(file_paths)</p></td>
+<td><p>We get files for the unique spatial and temporal extents covered by all collection files.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.h5.CollectorH5.write_data" title="sup3r.postprocessing.collectors.h5.CollectorH5.write_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_data</span></code></a>(out_file, dsets, time_index, ...)</p></td>
+<td><p>Write list of datasets to out_file.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.h5.CollectorH5.get_slices">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_slices</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">final_time_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">final_meta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_time_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_meta</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/collectors/h5.html#CollectorH5.get_slices"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_slices" title="Link to this definition">#</a></dt>
+<dd><p>Get index slices where the new ti/meta belong in the final ti/meta.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>final_time_index</strong> (<em>pd.Datetimeindex</em>) – Time index of the final file that new_time_index is being written
+to.</p></li>
+<li><p><strong>final_meta</strong> (<em>pd.DataFrame</em>) – Meta data of the final file that new_meta is being written to.</p></li>
+<li><p><strong>new_time_index</strong> (<em>pd.Datetimeindex</em>) – Chunk time index that is a subset of the final_time_index.</p></li>
+<li><p><strong>new_meta</strong> (<em>pd.DataFrame</em>) – Chunk meta data that is a subset of the final_meta.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>row_slice</strong> (<em>slice</em>) – final_time_index[row_slice] = new_time_index</p></li>
+<li><p><strong>col_slice</strong> (<em>slice</em>) – final_meta[col_slice] = new_meta</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.h5.CollectorH5.get_coordinate_indices">
+<span class="sig-name descname"><span class="pre">get_coordinate_indices</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">target_meta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">full_meta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0001</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/collectors/h5.html#CollectorH5.get_coordinate_indices"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_coordinate_indices" title="Link to this definition">#</a></dt>
+<dd><p>Get coordindate indices in meta data for given targets</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>target_meta</strong> (<em>pd.DataFrame</em>) – Dataframe of coordinates to find within the full meta</p></li>
+<li><p><strong>full_meta</strong> (<em>pd.DataFrame</em>) – Dataframe of full set of coordinates for unfiltered dataset</p></li>
+<li><p><strong>threshold</strong> (<em>float</em>) – Threshold distance for finding target coordinates within full meta</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.h5.CollectorH5.get_data">
+<span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_factor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0001</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/collectors/h5.html#CollectorH5.get_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_data" title="Link to this definition">#</a></dt>
+<dd><p>Retreive a data array from a chunked file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_path</strong> (<em>str</em>) – h5 file to get data from</p></li>
+<li><p><strong>feature</strong> (<em>str</em>) – dataset to retrieve data from fpath.</p></li>
+<li><p><strong>time_index</strong> (<em>pd.Datetimeindex</em>) – Time index of the final file.</p></li>
+<li><p><strong>meta</strong> (<em>pd.DataFrame</em>) – Meta data of the final file.</p></li>
+<li><p><strong>scale_factor</strong> (<em>int | float</em>) – Final destination scale factor after collection. If the data
+retrieval from the files to be collected has a different scale
+factor, the collected data will be rescaled and returned as
+float32.</p></li>
+<li><p><strong>dtype</strong> (<em>np.dtype</em>) – Final dtype to return data as</p></li>
+<li><p><strong>threshold</strong> (<em>float</em>) – Threshold distance for finding target coordinates within full meta</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>f_data</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – Data array from the fpath cast as input dtype.</p></li>
+<li><p><strong>row_slice</strong> (<em>slice</em>) – final_time_index[row_slice] = new_time_index</p></li>
+<li><p><strong>col_slice</strong> (<em>slice</em>) – final_meta[col_slice] = new_meta</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.h5.CollectorH5.get_unique_chunk_files">
+<span class="sig-name descname"><span class="pre">get_unique_chunk_files</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/collectors/h5.html#CollectorH5.get_unique_chunk_files"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_unique_chunk_files" title="Link to this definition">#</a></dt>
+<dd><p>We get files for the unique spatial and temporal extents covered by
+all collection files. Since the files have a suffix
+<code class="docutils literal notranslate"><span class="pre">_{temporal_chunk_index}_{spatial_chunk_index}.h5</span></code> we just use all
+files with a single <code class="docutils literal notranslate"><span class="pre">spatial_chunk_index</span></code> for the full time index and
+all files with a single <code class="docutils literal notranslate"><span class="pre">temporal_chunk_index</span></code> for the full meta.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>t_files</strong> (<em>list</em>) – Explicit list of str file paths which, when combined, provide the
+entire spatial domain.</p></li>
+<li><p><strong>s_files</strong> (<em>list</em>) – Explicit list of str file paths which, when combined, provide the
+entire temporal extent.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.h5.CollectorH5.get_target_and_masked_meta">
+<span class="sig-name descname"><span class="pre">get_target_and_masked_meta</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">meta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_meta_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0001</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/collectors/h5.html#CollectorH5.get_target_and_masked_meta"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_target_and_masked_meta" title="Link to this definition">#</a></dt>
+<dd><p>Use combined meta for all files and target_meta_file to get
+mapping from the full meta to the target meta and the mapping from the
+target meta to the full meta, both of which are masked to remove
+coordinates not present in the target_meta.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>meta</strong> (<em>pd.DataFrame</em>) – Concatenated full size meta data from the flist that is being
+collected or provided target meta</p></li>
+<li><p><strong>target_meta_file</strong> (<em>str</em>) – Path to target final meta containing coordinates to keep from the
+full list of coordinates present in the collected meta for the full
+file list.</p></li>
+<li><p><strong>threshold</strong> (<em>float</em>) – Threshold distance for finding target coordinates within full meta</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>target_meta</strong> (<em>pd.DataFrame</em>) – Concatenated full size meta data from the flist that is being
+collected or provided target meta</p></li>
+<li><p><strong>masked_meta</strong> (<em>pd.DataFrame</em>) – Concatenated full size meta data from the flist that is being
+collected masked against target_meta</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.h5.CollectorH5.get_collection_attrs">
+<span class="sig-name descname"><span class="pre">get_collection_attrs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_meta_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0001</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/collectors/h5.html#CollectorH5.get_collection_attrs"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_collection_attrs" title="Link to this definition">#</a></dt>
+<dd><p>Get important dataset attributes from a file list to be collected.</p>
+<p>Assumes the file list is chunked in time (row chunked).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_paths</strong> (<em>list | str</em>) – Explicit list of str file paths that will be sorted and collected
+or a single string with unix-style /search/patt*ern.h5.</p></li>
+<li><p><strong>max_workers</strong> (<em>int | None</em>) – Number of workers to use in parallel. 1 runs serial,
+None will use all available workers.</p></li>
+<li><p><strong>target_meta_file</strong> (<em>str</em>) – Path to target final meta containing coordinates to keep from the
+full list of coordinates present in the collected meta for the full
+file list.</p></li>
+<li><p><strong>threshold</strong> (<em>float</em>) – Threshold distance for finding target coordinates within full meta</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>time_index</strong> (<em>pd.datetimeindex</em>) – Concatenated full size datetime index from the flist that is
+being collected</p></li>
+<li><p><strong>target_meta</strong> (<em>pd.DataFrame</em>) – Concatenated full size meta data from the flist that is being
+collected or provided target meta</p></li>
+<li><p><strong>masked_meta</strong> (<em>pd.DataFrame</em>) – Concatenated full size meta data from the flist that is being
+collected masked against target_meta</p></li>
+<li><p><strong>shape</strong> (<em>tuple</em>) – Output (collected) dataset shape</p></li>
+<li><p><strong>global_attrs</strong> (<em>dict</em>) – Global attributes from the first file in file_paths (it’s assumed
+that all the files in file_paths have the same global file
+attributes).</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.h5.CollectorH5.get_flist_chunks">
+<span class="sig-name descname"><span class="pre">get_flist_chunks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_writes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/collectors/h5.html#CollectorH5.get_flist_chunks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_flist_chunks" title="Link to this definition">#</a></dt>
+<dd><p>Group files by temporal_chunk_index and then combines these groups
+if <code class="docutils literal notranslate"><span class="pre">n_writes</span></code> is less than the number of time_chunks. Assumes
+file_paths have a suffix format like
+<code class="docutils literal notranslate"><span class="pre">_{temporal_chunk_index}_{spatial_chunk_index}.h5</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_paths</strong> (<em>list</em>) – List of file paths each with a suffix
+<code class="docutils literal notranslate"><span class="pre">_{temporal_chunk_index}_{spatial_chunk_index}.h5</span></code></p></li>
+<li><p><strong>n_writes</strong> (<em>int | None</em>) – Number of writes to use for collection</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>flist_chunks</strong> (<em>list</em>) – List of file list chunks. Used to split collection and writing into
+multiple steps.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.h5.CollectorH5.collect_feature">
+<span class="sig-name descname"><span class="pre">collect_feature</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_masked_meta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_meta_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">flist_chunks</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0001</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/collectors/h5.html#CollectorH5.collect_feature"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.collectors.h5.CollectorH5.collect_feature" title="Link to this definition">#</a></dt>
+<dd><p>Collect chunks for single feature</p>
+<dl class="simple">
+<dt>dset<span class="classifier">str</span></dt><dd><p>Dataset name to collect.</p>
+</dd>
+<dt>target_masked_meta<span class="classifier">pd.DataFrame</span></dt><dd><p>Same as subset_masked_meta but instead for the entire list of files
+to be collected.</p>
+</dd>
+<dt>target_meta_file<span class="classifier">str</span></dt><dd><p>Path to target final meta containing coordinates to keep from the
+full file list collected meta. This can be but is not necessarily a
+subset of the full list of coordinates for all files in the file
+list. This is used to remove coordinates from the full file list
+which are not present in the target_meta. Either this full
+meta or a subset, depending on which coordinates are present in
+the data to be collected, will be the final meta for the collected
+output files.</p>
+</dd>
+<dt>time_index<span class="classifier">pd.datetimeindex</span></dt><dd><p>Concatenated datetime index for the given file paths.</p>
+</dd>
+<dt>shape<span class="classifier">tuple</span></dt><dd><p>Output (collected) dataset shape</p>
+</dd>
+<dt>flist_chunks<span class="classifier">list</span></dt><dd><p>List of file list chunks. Used to split collection and writing into
+multiple steps.</p>
+</dd>
+<dt>out_file<span class="classifier">str</span></dt><dd><p>File path of final output file.</p>
+</dd>
+<dt>threshold<span class="classifier">float</span></dt><dd><p>Threshold distance for finding target coordinates within full meta</p>
+</dd>
+<dt>max_workers<span class="classifier">int | None</span></dt><dd><p>Number of workers to use in parallel. 1 runs serial,
+None will use all available workers.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.h5.CollectorH5.collect">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">collect</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log_level</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_meta_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_writes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">overwrite</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0001</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/collectors/h5.html#CollectorH5.collect"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.collectors.h5.CollectorH5.collect" title="Link to this definition">#</a></dt>
+<dd><p>Collect data files from a dir to one output file.</p>
+<dl class="simple">
+<dt>Filename requirements:</dt><dd><ul class="simple">
+<li><p>Should end with “.h5”</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_paths</strong> (<em>list | str</em>) – Explicit list of str file paths that will be sorted and collected
+or a single string with unix-style /search/patt*ern.h5. Files
+resolved by this argument must be of the form
+<code class="docutils literal notranslate"><span class="pre">*_{temporal_chunk_index}_{spatial_chunk_index}.h5</span></code>.</p></li>
+<li><p><strong>out_file</strong> (<em>str</em>) – File path of final output file.</p></li>
+<li><p><strong>features</strong> (<em>list</em>) – List of dsets to collect</p></li>
+<li><p><strong>max_workers</strong> (<em>int | None</em>) – Number of workers to use in parallel. 1 runs serial,
+None will use all available workers.</p></li>
+<li><p><strong>log_level</strong> (<em>str | None</em>) – Desired log level, None will not initialize logging.</p></li>
+<li><p><strong>log_file</strong> (<em>str | None</em>) – Target log file. None logs to stdout.</p></li>
+<li><p><strong>write_status</strong> (<em>bool</em>) – Flag to write status file once complete if running from pipeline.</p></li>
+<li><p><strong>job_name</strong> (<em>str</em>) – Job name for status file if running from pipeline.</p></li>
+<li><p><strong>pipeline_step</strong> (<em>str, optional</em>) – Name of the pipeline step being run. If <code class="docutils literal notranslate"><span class="pre">None</span></code>, the
+<code class="docutils literal notranslate"><span class="pre">pipeline_step</span></code> will be set to <code class="docutils literal notranslate"><span class="pre">&quot;collect</span></code>, mimicking old reV
+behavior. By default, <code class="docutils literal notranslate"><span class="pre">None</span></code>.</p></li>
+<li><p><strong>target_meta_file</strong> (<em>str</em>) – Path to target final meta containing coordinates to keep from the
+full file list collected meta. This can be but is not necessarily a
+subset of the full list of coordinates for all files in the file
+list. This is used to remove coordinates from the full file list
+which are not present in the target_meta. Either this full
+meta or a subset, depending on which coordinates are present in
+the data to be collected, will be the final meta for the collected
+output files.</p></li>
+<li><p><strong>n_writes</strong> (<em>int | None</em>) – Number of writes to split full file list into. Must be less than
+or equal to the number of temporal chunks if chunks have different
+time indices.</p></li>
+<li><p><strong>overwrite</strong> (<em>bool</em>) – Whether to overwrite existing output file</p></li>
+<li><p><strong>threshold</strong> (<em>float</em>) – Threshold distance for finding target coordinates within full meta</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.h5.CollectorH5.get_chunk_indices">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_chunk_indices</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_chunk_indices" title="Link to this definition">#</a></dt>
+<dd><p>Get spatial and temporal chunk indices from the given file name.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><ul class="simple">
+<li><p><strong>temporal_chunk_index</strong> (<em>str</em>) – Zero padded integer for the temporal chunk index</p></li>
+<li><p><strong>spatial_chunk_index</strong> (<em>str</em>) – Zero padded integer for the spatial chunk index</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.h5.CollectorH5.get_dset_attrs">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_dset_attrs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_dset_attrs" title="Link to this definition">#</a></dt>
+<dd><p>Get attrributes for output feature</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>feature</strong> (<em>str</em>) – Name of feature to write</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>attrs</strong> (<em>dict</em>) – Dictionary of attributes for requested dset</p></li>
+<li><p><strong>dtype</strong> (<em>str</em>) – Data type for requested dset. Defaults to float32</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.h5.CollectorH5.get_node_cmd">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_node_cmd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_node_cmd" title="Link to this definition">#</a></dt>
+<dd><p>Get a CLI call to collect data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>config</strong> (<em>dict</em>) – sup3r collection config with all necessary args and kwargs to
+run data collection.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.h5.CollectorH5.get_time_dim_name">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_time_dim_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_time_dim_name" title="Link to this definition">#</a></dt>
+<dd><p>Get the name of the time dimension in the given file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>filepath</strong> (<em>str</em>) – Path to the file</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>time_key</strong> (<em>str</em>) – Name of the time dimension in the given file</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.h5.CollectorH5.write_data">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">write_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dsets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">global_attrs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.collectors.h5.CollectorH5.write_data" title="Link to this definition">#</a></dt>
+<dd><p>Write list of datasets to out_file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>out_file</strong> (<em>str</em>) – Pre-existing H5 file output path</p></li>
+<li><p><strong>dsets</strong> (<em>list</em>) – list of datasets to write to out_file</p></li>
+<li><p><strong>time_index</strong> (<em>pd.DatetimeIndex()</em>) – Pandas datetime index to use for file time_index.</p></li>
+<li><p><strong>data_list</strong> (<em>list</em>) – List of np.ndarray objects to write to out_file</p></li>
+<li><p><strong>meta</strong> (<em>pd.DataFrame</em>) – Full meta dataframe for the final output data.</p></li>
+<li><p><strong>global_attrs</strong> (<em>dict</em>) – Namespace of file-global attributes for the final output data.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5"><code class="docutils literal notranslate"><span class="pre">CollectorH5</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_slices"><code class="docutils literal notranslate"><span class="pre">CollectorH5.get_slices()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_coordinate_indices"><code class="docutils literal notranslate"><span class="pre">CollectorH5.get_coordinate_indices()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_data"><code class="docutils literal notranslate"><span class="pre">CollectorH5.get_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_unique_chunk_files"><code class="docutils literal notranslate"><span class="pre">CollectorH5.get_unique_chunk_files()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_target_and_masked_meta"><code class="docutils literal notranslate"><span class="pre">CollectorH5.get_target_and_masked_meta()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_collection_attrs"><code class="docutils literal notranslate"><span class="pre">CollectorH5.get_collection_attrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_flist_chunks"><code class="docutils literal notranslate"><span class="pre">CollectorH5.get_flist_chunks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.collect_feature"><code class="docutils literal notranslate"><span class="pre">CollectorH5.collect_feature()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.collect"><code class="docutils literal notranslate"><span class="pre">CollectorH5.collect()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_chunk_indices"><code class="docutils literal notranslate"><span class="pre">CollectorH5.get_chunk_indices()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_dset_attrs"><code class="docutils literal notranslate"><span class="pre">CollectorH5.get_dset_attrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">CollectorH5.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.get_time_dim_name"><code class="docutils literal notranslate"><span class="pre">CollectorH5.get_time_dim_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.h5.CollectorH5.write_data"><code class="docutils literal notranslate"><span class="pre">CollectorH5.write_data()</span></code></a></li>
+</ul>
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+</ul>
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new file mode 100644
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+  <section id="module-sup3r.postprocessing.collectors.h5">
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+<p>H5 file collection.</p>
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+  <section id="module-sup3r.postprocessing.collectors">
+<span id="sup3r-postprocessing-collectors"></span><h1>sup3r.postprocessing.collectors<a class="headerlink" href="#module-sup3r.postprocessing.collectors" title="Link to this heading">#</a></h1>
+<p>Collector classes for NETCDF and H5 data.</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.postprocessing.collectors.base.html#module-sup3r.postprocessing.collectors.base" title="sup3r.postprocessing.collectors.base"><code class="xref py py-obj docutils literal notranslate"><span class="pre">base</span></code></a></p></td>
+<td><p>H5/NETCDF file collection.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.postprocessing.collectors.h5.html#module-sup3r.postprocessing.collectors.h5" title="sup3r.postprocessing.collectors.h5"><code class="xref py py-obj docutils literal notranslate"><span class="pre">h5</span></code></a></p></td>
+<td><p>H5 file collection.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.postprocessing.collectors.nc.html#module-sup3r.postprocessing.collectors.nc" title="sup3r.postprocessing.collectors.nc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nc</span></code></a></p></td>
+<td><p>NETCDF file collection.</p></td>
+</tr>
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+</table>
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+    <h1>sup3r.postprocessing.collectors.nc.CollectorNC</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.nc.CollectorNC"><code class="docutils literal notranslate"><span class="pre">CollectorNC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.nc.CollectorNC.collect"><code class="docutils literal notranslate"><span class="pre">CollectorNC.collect()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.nc.CollectorNC.group_spatial_chunks"><code class="docutils literal notranslate"><span class="pre">CollectorNC.group_spatial_chunks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.nc.CollectorNC.get_chunk_indices"><code class="docutils literal notranslate"><span class="pre">CollectorNC.get_chunk_indices()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.nc.CollectorNC.get_dset_attrs"><code class="docutils literal notranslate"><span class="pre">CollectorNC.get_dset_attrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.nc.CollectorNC.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">CollectorNC.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.nc.CollectorNC.get_time_dim_name"><code class="docutils literal notranslate"><span class="pre">CollectorNC.get_time_dim_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.nc.CollectorNC.write_data"><code class="docutils literal notranslate"><span class="pre">CollectorNC.write_data()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
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+                <article class="bd-article">
+                  
+  <section id="sup3r-postprocessing-collectors-nc-collectornc">
+<h1>sup3r.postprocessing.collectors.nc.CollectorNC<a class="headerlink" href="#sup3r-postprocessing-collectors-nc-collectornc" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.nc.CollectorNC">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">CollectorNC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/collectors/nc.html#CollectorNC"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.collectors.nc.CollectorNC" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.postprocessing.collectors.base.BaseCollector.html#sup3r.postprocessing.collectors.base.BaseCollector" title="sup3r.postprocessing.collectors.base.BaseCollector"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseCollector</span></code></a></p>
+<p>Sup3r NETCDF file collection framework</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>file_paths</strong> (<em>list | str</em>) – Explicit list of str file paths that will be sorted and collected
+or a single string with unix-style /search/patt*ern.&lt;ext&gt;. Files
+should have non-overlapping time_index and spatial domains.</p>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.nc.CollectorNC.collect" title="sup3r.postprocessing.collectors.nc.CollectorNC.collect"><code class="xref py py-obj docutils literal notranslate"><span class="pre">collect</span></code></a>(file_paths, out_file[, features, ...])</p></td>
+<td><p>Collect data files from a dir to one output file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.nc.CollectorNC.get_chunk_indices" title="sup3r.postprocessing.collectors.nc.CollectorNC.get_chunk_indices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_chunk_indices</span></code></a>(file)</p></td>
+<td><p>Get spatial and temporal chunk indices from the given file name.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.nc.CollectorNC.get_dset_attrs" title="sup3r.postprocessing.collectors.nc.CollectorNC.get_dset_attrs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_dset_attrs</span></code></a>(feature)</p></td>
+<td><p>Get attrributes for output feature</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.nc.CollectorNC.get_node_cmd" title="sup3r.postprocessing.collectors.nc.CollectorNC.get_node_cmd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_node_cmd</span></code></a>(config)</p></td>
+<td><p>Get a CLI call to collect data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.nc.CollectorNC.get_time_dim_name" title="sup3r.postprocessing.collectors.nc.CollectorNC.get_time_dim_name"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_time_dim_name</span></code></a>(filepath)</p></td>
+<td><p>Get the name of the time dimension in the given file</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.nc.CollectorNC.group_spatial_chunks" title="sup3r.postprocessing.collectors.nc.CollectorNC.group_spatial_chunks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">group_spatial_chunks</span></code></a>()</p></td>
+<td><p>Group same spatial chunks together so each chunk has same spatial footprint but different times</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.collectors.nc.CollectorNC.write_data" title="sup3r.postprocessing.collectors.nc.CollectorNC.write_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_data</span></code></a>(out_file, dsets, time_index, ...)</p></td>
+<td><p>Write list of datasets to out_file.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.nc.CollectorNC.collect">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">collect</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log_level</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">overwrite</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">res_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/collectors/nc.html#CollectorNC.collect"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.collectors.nc.CollectorNC.collect" title="Link to this definition">#</a></dt>
+<dd><p>Collect data files from a dir to one output file.</p>
+<dl class="simple">
+<dt>Filename requirements:</dt><dd><ul class="simple">
+<li><p>Should end with “.nc”</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_paths</strong> (<em>list | str</em>) – Explicit list of str file paths that will be sorted and collected
+or a single string with unix-style /search/patt*ern.nc.</p></li>
+<li><p><strong>out_file</strong> (<em>str</em>) – File path of final output file.</p></li>
+<li><p><strong>features</strong> (<em>list | str</em>) – List of dsets to collect. If ‘all’ then all <code class="docutils literal notranslate"><span class="pre">data_vars</span></code> will be
+collected.</p></li>
+<li><p><strong>log_level</strong> (<em>str | None</em>) – Desired log level, None will not initialize logging.</p></li>
+<li><p><strong>log_file</strong> (<em>str | None</em>) – Target log file. None logs to stdout.</p></li>
+<li><p><strong>write_status</strong> (<em>bool</em>) – Flag to write status file once complete if running from pipeline.</p></li>
+<li><p><strong>job_name</strong> (<em>str</em>) – Job name for status file if running from pipeline.</p></li>
+<li><p><strong>overwrite</strong> (<em>bool</em>) – Whether to overwrite existing output file</p></li>
+<li><p><strong>res_kwargs</strong> (<em>dict | None</em>) – Dictionary of kwargs to pass to xarray.open_mfdataset.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.nc.CollectorNC.group_spatial_chunks">
+<span class="sig-name descname"><span class="pre">group_spatial_chunks</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/collectors/nc.html#CollectorNC.group_spatial_chunks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.collectors.nc.CollectorNC.group_spatial_chunks" title="Link to this definition">#</a></dt>
+<dd><p>Group same spatial chunks together so each chunk has same spatial
+footprint but different times</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.nc.CollectorNC.get_chunk_indices">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_chunk_indices</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.collectors.nc.CollectorNC.get_chunk_indices" title="Link to this definition">#</a></dt>
+<dd><p>Get spatial and temporal chunk indices from the given file name.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><ul class="simple">
+<li><p><strong>temporal_chunk_index</strong> (<em>str</em>) – Zero padded integer for the temporal chunk index</p></li>
+<li><p><strong>spatial_chunk_index</strong> (<em>str</em>) – Zero padded integer for the spatial chunk index</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.nc.CollectorNC.get_dset_attrs">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_dset_attrs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.collectors.nc.CollectorNC.get_dset_attrs" title="Link to this definition">#</a></dt>
+<dd><p>Get attrributes for output feature</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>feature</strong> (<em>str</em>) – Name of feature to write</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>attrs</strong> (<em>dict</em>) – Dictionary of attributes for requested dset</p></li>
+<li><p><strong>dtype</strong> (<em>str</em>) – Data type for requested dset. Defaults to float32</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.nc.CollectorNC.get_node_cmd">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_node_cmd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.collectors.nc.CollectorNC.get_node_cmd" title="Link to this definition">#</a></dt>
+<dd><p>Get a CLI call to collect data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>config</strong> (<em>dict</em>) – sup3r collection config with all necessary args and kwargs to
+run data collection.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.nc.CollectorNC.get_time_dim_name">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_time_dim_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.collectors.nc.CollectorNC.get_time_dim_name" title="Link to this definition">#</a></dt>
+<dd><p>Get the name of the time dimension in the given file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>filepath</strong> (<em>str</em>) – Path to the file</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>time_key</strong> (<em>str</em>) – Name of the time dimension in the given file</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.collectors.nc.CollectorNC.write_data">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">write_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dsets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">global_attrs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.collectors.nc.CollectorNC.write_data" title="Link to this definition">#</a></dt>
+<dd><p>Write list of datasets to out_file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>out_file</strong> (<em>str</em>) – Pre-existing H5 file output path</p></li>
+<li><p><strong>dsets</strong> (<em>list</em>) – list of datasets to write to out_file</p></li>
+<li><p><strong>time_index</strong> (<em>pd.DatetimeIndex()</em>) – Pandas datetime index to use for file time_index.</p></li>
+<li><p><strong>data_list</strong> (<em>list</em>) – List of np.ndarray objects to write to out_file</p></li>
+<li><p><strong>meta</strong> (<em>pd.DataFrame</em>) – Full meta dataframe for the final output data.</p></li>
+<li><p><strong>global_attrs</strong> (<em>dict</em>) – Namespace of file-global attributes for the final output data.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.nc.CollectorNC"><code class="docutils literal notranslate"><span class="pre">CollectorNC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.nc.CollectorNC.collect"><code class="docutils literal notranslate"><span class="pre">CollectorNC.collect()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.nc.CollectorNC.group_spatial_chunks"><code class="docutils literal notranslate"><span class="pre">CollectorNC.group_spatial_chunks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.nc.CollectorNC.get_chunk_indices"><code class="docutils literal notranslate"><span class="pre">CollectorNC.get_chunk_indices()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.nc.CollectorNC.get_dset_attrs"><code class="docutils literal notranslate"><span class="pre">CollectorNC.get_dset_attrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.nc.CollectorNC.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">CollectorNC.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.nc.CollectorNC.get_time_dim_name"><code class="docutils literal notranslate"><span class="pre">CollectorNC.get_time_dim_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.collectors.nc.CollectorNC.write_data"><code class="docutils literal notranslate"><span class="pre">CollectorNC.write_data()</span></code></a></li>
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+    <h1>sup3r.postprocessing.collectors.nc</h1>
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+  <section id="module-sup3r.postprocessing.collectors.nc">
+<span id="sup3r-postprocessing-collectors-nc"></span><h1>sup3r.postprocessing.collectors.nc<a class="headerlink" href="#module-sup3r.postprocessing.collectors.nc" title="Link to this heading">#</a></h1>
+<p>NETCDF file collection.</p>
+<p>TODO: Integrate this with Cacher class</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.postprocessing.collectors.nc.CollectorNC.html#sup3r.postprocessing.collectors.nc.CollectorNC" title="sup3r.postprocessing.collectors.nc.CollectorNC"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CollectorNC</span></code></a>(file_paths)</p></td>
+<td><p>Sup3r NETCDF file collection framework</p></td>
+</tr>
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+  <section id="module-sup3r.postprocessing.data_collect_cli">
+<span id="sup3r-postprocessing-data-collect-cli"></span><h1>sup3r.postprocessing.data_collect_cli<a class="headerlink" href="#module-sup3r.postprocessing.data_collect_cli" title="Link to this heading">#</a></h1>
+<p>sup3r data collection CLI entry points.</p>
+<p class="rubric">Functions</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
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+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.postprocessing.data_collect_cli.kickoff_local_job.html#sup3r.postprocessing.data_collect_cli.kickoff_local_job" title="sup3r.postprocessing.data_collect_cli.kickoff_local_job"><code class="xref py py-obj docutils literal notranslate"><span class="pre">kickoff_local_job</span></code></a>(ctx, cmd[, pipeline_step])</p></td>
+<td><p>Run sup3r data collection locally.</p></td>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.data_collect_cli.kickoff_local_job"><code class="docutils literal notranslate"><span class="pre">kickoff_local_job()</span></code></a></li>
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+  <section id="sup3r-postprocessing-data-collect-cli-kickoff-local-job">
+<h1>sup3r.postprocessing.data_collect_cli.kickoff_local_job<a class="headerlink" href="#sup3r-postprocessing-data-collect-cli-kickoff-local-job" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.postprocessing.data_collect_cli.kickoff_local_job">
+<span class="sig-name descname"><span class="pre">kickoff_local_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ctx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cmd</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pipeline_step</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/data_collect_cli.html#kickoff_local_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.data_collect_cli.kickoff_local_job" title="Link to this definition">#</a></dt>
+<dd><p>Run sup3r data collection locally.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>ctx</strong> (<em>click.pass_context</em>) – Click context object where ctx.obj is a dictionary</p></li>
+<li><p><strong>cmd</strong> (<em>str</em>) –</p>
+<dl class="simple">
+<dt>Command to be submitted in shell script. Example:</dt><dd><p>‘python -m sup3r.cli data_collect -c &lt;config_file&gt;’</p>
+</dd>
+</dl>
+</li>
+<li><p><strong>pipeline_step</strong> (<em>str, optional</em>) – Name of the pipeline step being run. If <code class="docutils literal notranslate"><span class="pre">None</span></code>, the
+<code class="docutils literal notranslate"><span class="pre">pipeline_step</span></code> will be set to the <code class="docutils literal notranslate"><span class="pre">module_name</span></code>,
+mimicking old reV behavior. By default, <code class="docutils literal notranslate"><span class="pre">None</span></code>.</p></li>
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+    <h1>sup3r.postprocessing.data_collect_cli.kickoff_slurm_job</h1>
+    <!-- Table of contents -->
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.data_collect_cli.kickoff_slurm_job"><code class="docutils literal notranslate"><span class="pre">kickoff_slurm_job()</span></code></a></li>
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+  <section id="sup3r-postprocessing-data-collect-cli-kickoff-slurm-job">
+<h1>sup3r.postprocessing.data_collect_cli.kickoff_slurm_job<a class="headerlink" href="#sup3r-postprocessing-data-collect-cli-kickoff-slurm-job" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.postprocessing.data_collect_cli.kickoff_slurm_job">
+<span class="sig-name descname"><span class="pre">kickoff_slurm_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ctx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cmd</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pipeline_step</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alloc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sup3r'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">memory</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">walltime</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stdout_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'./stdout/'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/data_collect_cli.html#kickoff_slurm_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.data_collect_cli.kickoff_slurm_job" title="Link to this definition">#</a></dt>
+<dd><p>Run sup3r on HPC via SLURM job submission.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>ctx</strong> (<em>click.pass_context</em>) – Click context object where ctx.obj is a dictionary</p></li>
+<li><p><strong>cmd</strong> (<em>str</em>) –</p>
+<dl class="simple">
+<dt>Command to be submitted in SLURM shell script. Example:</dt><dd><p>‘python -m sup3r.cli data-collect -c &lt;config_file&gt;’</p>
+</dd>
+</dl>
+</li>
+<li><p><strong>pipeline_step</strong> (<em>str, optional</em>) – Name of the pipeline step being run. If <code class="docutils literal notranslate"><span class="pre">None</span></code>, the
+<code class="docutils literal notranslate"><span class="pre">pipeline_step</span></code> will be set to the <code class="docutils literal notranslate"><span class="pre">module_name</span></code>,
+mimicking old reV behavior. By default, <code class="docutils literal notranslate"><span class="pre">None</span></code>.</p></li>
+<li><p><strong>alloc</strong> (<em>str</em>) – HPC project (allocation) handle. Example: ‘sup3r’.</p></li>
+<li><p><strong>memory</strong> (<em>int</em>) – Node memory request in GB.</p></li>
+<li><p><strong>walltime</strong> (<em>float</em>) – Node walltime request in hours.</p></li>
+<li><p><strong>feature</strong> (<em>str</em>) – Additional flags for SLURM job. Format is “–qos=high”
+or “–depend=[state:job_id]”. Default is None.</p></li>
+<li><p><strong>stdout_path</strong> (<em>str</em>) – Path to print .stdout and .stderr files.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
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+<span id="sup3r-postprocessing"></span><h1>sup3r.postprocessing<a class="headerlink" href="#module-sup3r.postprocessing" title="Link to this heading">#</a></h1>
+<p>Post processing module</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.postprocessing.collectors.html#module-sup3r.postprocessing.collectors" title="sup3r.postprocessing.collectors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">collectors</span></code></a></p></td>
+<td><p>Collector classes for NETCDF and H5 data.</p></td>
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+              
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>sup3r.postprocessing.writers.base.OutputHandler</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler"><code class="docutils literal notranslate"><span class="pre">OutputHandler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler.get_renamed_features"><code class="docutils literal notranslate"><span class="pre">OutputHandler.get_renamed_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler.invert_uv_features"><code class="docutils literal notranslate"><span class="pre">OutputHandler.invert_uv_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler.invert_uv_single_pair"><code class="docutils literal notranslate"><span class="pre">OutputHandler.invert_uv_single_pair()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler.enforce_limits"><code class="docutils literal notranslate"><span class="pre">OutputHandler.enforce_limits()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler.pad_lat_lon"><code class="docutils literal notranslate"><span class="pre">OutputHandler.pad_lat_lon()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler.is_increasing_lons"><code class="docutils literal notranslate"><span class="pre">OutputHandler.is_increasing_lons()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler.get_lat_lon"><code class="docutils literal notranslate"><span class="pre">OutputHandler.get_lat_lon()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler.get_times"><code class="docutils literal notranslate"><span class="pre">OutputHandler.get_times()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler.write_output"><code class="docutils literal notranslate"><span class="pre">OutputHandler.write_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler.get_dset_attrs"><code class="docutils literal notranslate"><span class="pre">OutputHandler.get_dset_attrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler.get_time_dim_name"><code class="docutils literal notranslate"><span class="pre">OutputHandler.get_time_dim_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler.write_data"><code class="docutils literal notranslate"><span class="pre">OutputHandler.write_data()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-postprocessing-writers-base-outputhandler">
+<h1>sup3r.postprocessing.writers.base.OutputHandler<a class="headerlink" href="#sup3r-postprocessing-writers-base-outputhandler" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.OutputHandler">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">OutputHandler</span></span><a class="reference internal" href="../_modules/sup3r/postprocessing/writers/base.html#OutputHandler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.writers.base.OutputHandler" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.postprocessing.writers.base.OutputMixin.html#sup3r.postprocessing.writers.base.OutputMixin" title="sup3r.postprocessing.writers.base.OutputMixin"><code class="xref py py-class docutils literal notranslate"><span class="pre">OutputMixin</span></code></a></p>
+<p>Class to handle forward pass output. This includes transforming features
+back to their original form and outputting to the correct file format.</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.OutputHandler.enforce_limits" title="sup3r.postprocessing.writers.base.OutputHandler.enforce_limits"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enforce_limits</span></code></a>(features, data)</p></td>
+<td><p>Enforce physical limits for feature data</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.OutputHandler.get_dset_attrs" title="sup3r.postprocessing.writers.base.OutputHandler.get_dset_attrs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_dset_attrs</span></code></a>(feature)</p></td>
+<td><p>Get attrributes for output feature</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.OutputHandler.get_lat_lon" title="sup3r.postprocessing.writers.base.OutputHandler.get_lat_lon"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_lat_lon</span></code></a>(low_res_lat_lon, shape)</p></td>
+<td><p>Get lat lon arrays for high res output file</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.OutputHandler.get_renamed_features" title="sup3r.postprocessing.writers.base.OutputHandler.get_renamed_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_renamed_features</span></code></a>(features)</p></td>
+<td><p>Rename features based on transformation from u/v to windspeed/winddirection</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.OutputHandler.get_time_dim_name" title="sup3r.postprocessing.writers.base.OutputHandler.get_time_dim_name"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_time_dim_name</span></code></a>(filepath)</p></td>
+<td><p>Get the name of the time dimension in the given file</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.OutputHandler.get_times" title="sup3r.postprocessing.writers.base.OutputHandler.get_times"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_times</span></code></a>(low_res_times, shape)</p></td>
+<td><p>Get array of times for high res output file</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.OutputHandler.invert_uv_features" title="sup3r.postprocessing.writers.base.OutputHandler.invert_uv_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">invert_uv_features</span></code></a>(data, features, lat_lon)</p></td>
+<td><p>Invert U/V to windspeed and winddirection.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.OutputHandler.invert_uv_single_pair" title="sup3r.postprocessing.writers.base.OutputHandler.invert_uv_single_pair"><code class="xref py py-obj docutils literal notranslate"><span class="pre">invert_uv_single_pair</span></code></a>(data, lat_lon, u_idx, ...)</p></td>
+<td><p>Perform inverse transform in place on a single u/v pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.OutputHandler.is_increasing_lons" title="sup3r.postprocessing.writers.base.OutputHandler.is_increasing_lons"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_increasing_lons</span></code></a>(lat_lon)</p></td>
+<td><p>Check if longitudes are in increasing order.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.OutputHandler.pad_lat_lon" title="sup3r.postprocessing.writers.base.OutputHandler.pad_lat_lon"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pad_lat_lon</span></code></a>(lat_lon)</p></td>
+<td><p>Pad lat lon grid with additional rows and columns to use for interpolation routine</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.OutputHandler.write_data" title="sup3r.postprocessing.writers.base.OutputHandler.write_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_data</span></code></a>(out_file, dsets, time_index, ...)</p></td>
+<td><p>Write list of datasets to out_file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.OutputHandler.write_output" title="sup3r.postprocessing.writers.base.OutputHandler.write_output"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_output</span></code></a>(data, features, ...[, ...])</p></td>
+<td><p>Write forward pass output to file</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.OutputHandler.get_renamed_features">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_renamed_features</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">features</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/writers/base.html#OutputHandler.get_renamed_features"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.writers.base.OutputHandler.get_renamed_features" title="Link to this definition">#</a></dt>
+<dd><p>Rename features based on transformation from u/v to
+windspeed/winddirection</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>features</strong> (<em>list</em>) – List of output features</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>list</em> – List of renamed features u/v -&gt; windspeed/winddirection for each
+height</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.OutputHandler.invert_uv_features">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">invert_uv_features</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lat_lon</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/writers/base.html#OutputHandler.invert_uv_features"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.writers.base.OutputHandler.invert_uv_features" title="Link to this definition">#</a></dt>
+<dd><p>Invert U/V to windspeed and winddirection. Performed in place.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>ndarray</em>) – High res data from forward pass
+(spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>features</strong> (<em>list</em>) – List of output features. If this doesn’t contain any names matching
+u_*m, this method will do nothing.</p></li>
+<li><p><strong>lat_lon</strong> (<em>ndarray</em>) – High res lat/lon array
+(spatial_1, spatial_2, 2)</p></li>
+<li><p><strong>max_workers</strong> (<em>int | None</em>) – Max workers to use for inverse transform. If None the maximum
+possible will be used</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.OutputHandler.invert_uv_single_pair">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">invert_uv_single_pair</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lat_lon</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">u_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">v_idx</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/writers/base.html#OutputHandler.invert_uv_single_pair"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.writers.base.OutputHandler.invert_uv_single_pair" title="Link to this definition">#</a></dt>
+<dd><p>Perform inverse transform in place on a single u/v pair.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>ndarray</em>) – High res data from forward pass
+(spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>lat_lon</strong> (<em>ndarray</em>) – High res lat/lon array
+(spatial_1, spatial_2, 2)</p></li>
+<li><p><strong>u_idx</strong> (<em>int</em>) – Index in data for U component to transform</p></li>
+<li><p><strong>v_idx</strong> (<em>int</em>) – Index in data for V component to transform</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.OutputHandler.enforce_limits">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">enforce_limits</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/writers/base.html#OutputHandler.enforce_limits"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.writers.base.OutputHandler.enforce_limits" title="Link to this definition">#</a></dt>
+<dd><p>Enforce physical limits for feature data</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>features</strong> (<em>list</em>) – List of features with ordering corresponding to last channel of
+data array.</p></li>
+<li><p><strong>data</strong> (<em>ndarray</em>) – Array of feature data</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>data</strong> (<em>ndarray</em>) – Array of feature data with physical limits enforced</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.OutputHandler.pad_lat_lon">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">pad_lat_lon</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lat_lon</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/writers/base.html#OutputHandler.pad_lat_lon"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.writers.base.OutputHandler.pad_lat_lon" title="Link to this definition">#</a></dt>
+<dd><p>Pad lat lon grid with additional rows and columns to use for
+interpolation routine</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>lat_lon</strong> (<em>ndarray</em>) – Array of lat/lon for input data.
+(spatial_1, spatial_2, 2)
+Last dimension has ordering (lat, lon)</p></li>
+<li><p><strong>shape</strong> (<em>tuple</em>) – (lons, lats) Shape of high res grid</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>lat_lon</strong> (<em>ndarray</em>) – Array of padded lat lons
+(spatial_1, spatial_2, 2)
+Last dimension has ordering (lat, lon)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.OutputHandler.is_increasing_lons">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_increasing_lons</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lat_lon</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/writers/base.html#OutputHandler.is_increasing_lons"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.writers.base.OutputHandler.is_increasing_lons" title="Link to this definition">#</a></dt>
+<dd><p>Check if longitudes are in increasing order. Need to check this
+for interpolation routine. This is primarily to identify whether the
+lons go through the 180 -&gt; -180 boundary, which creates a
+discontinuity. For example, [130, 180, -130, -80]. If any lons go from
+positive to negative the lons need to be shifted to the range 0-360.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>lat_lon</strong> (<em>ndarray</em>) – Array of lat/lon for input data.
+(spatial_1, spatial_2, 2)
+Last dimension has ordering (lat, lon)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>bool</em> – Whether all lons are in increasing order or not</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.OutputHandler.get_lat_lon">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_lat_lon</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res_lat_lon</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/writers/base.html#OutputHandler.get_lat_lon"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.writers.base.OutputHandler.get_lat_lon" title="Link to this definition">#</a></dt>
+<dd><p>Get lat lon arrays for high res output file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low_res_lat_lon</strong> (<em>ndarray</em>) – Array of lat/lon for input data. Longitudes must be arranged in
+a counter-clockwise direction (when looking down from above the
+north pole). e.g. [-50, -25, 25, 50] or [130, 180, -130, -80]. The
+latter passes through the 180 -&gt; -180 boundary and will be
+temporarily shifted to the 0-360 range before interpolation.
+(spatial_1, spatial_2, 2)
+Last dimension has ordering (lat, lon)</p></li>
+<li><p><strong>shape</strong> (<em>tuple</em>) – (lons, lats) Shape of high res grid</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>lat_lon</strong> (<em>ndarray</em>) – Array of lat lons for high res output file
+(spatial_1, spatial_2, 2)
+Last dimension has ordering (lat, lon)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.OutputHandler.get_times">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_times</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res_times</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/writers/base.html#OutputHandler.get_times"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.writers.base.OutputHandler.get_times" title="Link to this definition">#</a></dt>
+<dd><p>Get array of times for high res output file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low_res_times</strong> (<em>pd.Datetimeindex</em>) – List of times for low res input data. If there is only a single low
+res timestep, it is assumed the data is daily.</p></li>
+<li><p><strong>shape</strong> (<em>int</em>) – Number of time steps for high res time array</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>ndarray</em> – Array of times for high res output file.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.OutputHandler.write_output">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">write_output</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">low_res_lat_lon</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">low_res_times</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meta_data</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">invert_uv</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gids</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/writers/base.html#OutputHandler.write_output"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.writers.base.OutputHandler.write_output" title="Link to this definition">#</a></dt>
+<dd><p>Write forward pass output to file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>ndarray</em>) – (spatial_1, spatial_2, temporal, features)
+High resolution forward pass output</p></li>
+<li><p><strong>features</strong> (<em>list</em>) – List of feature names corresponding to the last dimension of data</p></li>
+<li><p><strong>low_res_lat_lon</strong> (<em>ndarray</em>) – Array of lat/lon for input data. (spatial_1, spatial_2, 2)
+Last dimension has ordering (lat, lon)</p></li>
+<li><p><strong>low_res_times</strong> (<em>pd.Datetimeindex</em>) – List of times for low res source data</p></li>
+<li><p><strong>out_file</strong> (<em>string</em>) – Output file path</p></li>
+<li><p><strong>meta_data</strong> (<em>dict | None</em>) – Dictionary of meta data from model</p></li>
+<li><p><strong>invert_uv</strong> (<em>bool | None</em>) – Whether to convert u and v wind components to windspeed and
+direction</p></li>
+<li><p><strong>max_workers</strong> (<em>int | None</em>) – Max workers to use for inverse uv transform. If None the
+max_workers will be estimated based on memory limits.</p></li>
+<li><p><strong>gids</strong> (<em>list</em>) – List of coordinate indices used to label each lat lon pair and to
+help with spatial chunk data collection</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.OutputHandler.get_dset_attrs">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_dset_attrs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.base.OutputHandler.get_dset_attrs" title="Link to this definition">#</a></dt>
+<dd><p>Get attrributes for output feature</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>feature</strong> (<em>str</em>) – Name of feature to write</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>attrs</strong> (<em>dict</em>) – Dictionary of attributes for requested dset</p></li>
+<li><p><strong>dtype</strong> (<em>str</em>) – Data type for requested dset. Defaults to float32</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.OutputHandler.get_time_dim_name">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_time_dim_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.base.OutputHandler.get_time_dim_name" title="Link to this definition">#</a></dt>
+<dd><p>Get the name of the time dimension in the given file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>filepath</strong> (<em>str</em>) – Path to the file</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>time_key</strong> (<em>str</em>) – Name of the time dimension in the given file</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.OutputHandler.write_data">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">write_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dsets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">global_attrs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.base.OutputHandler.write_data" title="Link to this definition">#</a></dt>
+<dd><p>Write list of datasets to out_file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>out_file</strong> (<em>str</em>) – Pre-existing H5 file output path</p></li>
+<li><p><strong>dsets</strong> (<em>list</em>) – list of datasets to write to out_file</p></li>
+<li><p><strong>time_index</strong> (<em>pd.DatetimeIndex()</em>) – Pandas datetime index to use for file time_index.</p></li>
+<li><p><strong>data_list</strong> (<em>list</em>) – List of np.ndarray objects to write to out_file</p></li>
+<li><p><strong>meta</strong> (<em>pd.DataFrame</em>) – Full meta dataframe for the final output data.</p></li>
+<li><p><strong>global_attrs</strong> (<em>dict</em>) – Namespace of file-global attributes for the final output data.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler"><code class="docutils literal notranslate"><span class="pre">OutputHandler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler.get_renamed_features"><code class="docutils literal notranslate"><span class="pre">OutputHandler.get_renamed_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler.invert_uv_features"><code class="docutils literal notranslate"><span class="pre">OutputHandler.invert_uv_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler.invert_uv_single_pair"><code class="docutils literal notranslate"><span class="pre">OutputHandler.invert_uv_single_pair()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler.enforce_limits"><code class="docutils literal notranslate"><span class="pre">OutputHandler.enforce_limits()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler.pad_lat_lon"><code class="docutils literal notranslate"><span class="pre">OutputHandler.pad_lat_lon()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler.is_increasing_lons"><code class="docutils literal notranslate"><span class="pre">OutputHandler.is_increasing_lons()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler.get_lat_lon"><code class="docutils literal notranslate"><span class="pre">OutputHandler.get_lat_lon()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler.get_times"><code class="docutils literal notranslate"><span class="pre">OutputHandler.get_times()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler.write_output"><code class="docutils literal notranslate"><span class="pre">OutputHandler.write_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler.get_dset_attrs"><code class="docutils literal notranslate"><span class="pre">OutputHandler.get_dset_attrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler.get_time_dim_name"><code class="docutils literal notranslate"><span class="pre">OutputHandler.get_time_dim_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputHandler.write_data"><code class="docutils literal notranslate"><span class="pre">OutputHandler.write_data()</span></code></a></li>
+</ul>
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new file mode 100644
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+    <h1>sup3r.postprocessing.writers.base.OutputMixin</h1>
+    <!-- Table of contents -->
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+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputMixin"><code class="docutils literal notranslate"><span class="pre">OutputMixin</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputMixin.get_time_dim_name"><code class="docutils literal notranslate"><span class="pre">OutputMixin.get_time_dim_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputMixin.get_dset_attrs"><code class="docutils literal notranslate"><span class="pre">OutputMixin.get_dset_attrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputMixin.write_data"><code class="docutils literal notranslate"><span class="pre">OutputMixin.write_data()</span></code></a></li>
+</ul>
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+
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+                  
+  <section id="sup3r-postprocessing-writers-base-outputmixin">
+<h1>sup3r.postprocessing.writers.base.OutputMixin<a class="headerlink" href="#sup3r-postprocessing-writers-base-outputmixin" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.OutputMixin">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">OutputMixin</span></span><a class="reference internal" href="../_modules/sup3r/postprocessing/writers/base.html#OutputMixin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.writers.base.OutputMixin" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<p>Methods used by various Output and Collection classes</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.OutputMixin.get_dset_attrs" title="sup3r.postprocessing.writers.base.OutputMixin.get_dset_attrs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_dset_attrs</span></code></a>(feature)</p></td>
+<td><p>Get attrributes for output feature</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.OutputMixin.get_time_dim_name" title="sup3r.postprocessing.writers.base.OutputMixin.get_time_dim_name"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_time_dim_name</span></code></a>(filepath)</p></td>
+<td><p>Get the name of the time dimension in the given file</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.OutputMixin.write_data" title="sup3r.postprocessing.writers.base.OutputMixin.write_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_data</span></code></a>(out_file, dsets, time_index, ...)</p></td>
+<td><p>Write list of datasets to out_file.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.OutputMixin.get_time_dim_name">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_time_dim_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/writers/base.html#OutputMixin.get_time_dim_name"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.writers.base.OutputMixin.get_time_dim_name" title="Link to this definition">#</a></dt>
+<dd><p>Get the name of the time dimension in the given file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>filepath</strong> (<em>str</em>) – Path to the file</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>time_key</strong> (<em>str</em>) – Name of the time dimension in the given file</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.OutputMixin.get_dset_attrs">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_dset_attrs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/writers/base.html#OutputMixin.get_dset_attrs"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.writers.base.OutputMixin.get_dset_attrs" title="Link to this definition">#</a></dt>
+<dd><p>Get attrributes for output feature</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>feature</strong> (<em>str</em>) – Name of feature to write</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>attrs</strong> (<em>dict</em>) – Dictionary of attributes for requested dset</p></li>
+<li><p><strong>dtype</strong> (<em>str</em>) – Data type for requested dset. Defaults to float32</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.OutputMixin.write_data">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">write_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dsets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">global_attrs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/writers/base.html#OutputMixin.write_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.writers.base.OutputMixin.write_data" title="Link to this definition">#</a></dt>
+<dd><p>Write list of datasets to out_file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>out_file</strong> (<em>str</em>) – Pre-existing H5 file output path</p></li>
+<li><p><strong>dsets</strong> (<em>list</em>) – list of datasets to write to out_file</p></li>
+<li><p><strong>time_index</strong> (<em>pd.DatetimeIndex()</em>) – Pandas datetime index to use for file time_index.</p></li>
+<li><p><strong>data_list</strong> (<em>list</em>) – List of np.ndarray objects to write to out_file</p></li>
+<li><p><strong>meta</strong> (<em>pd.DataFrame</em>) – Full meta dataframe for the final output data.</p></li>
+<li><p><strong>global_attrs</strong> (<em>dict</em>) – Namespace of file-global attributes for the final output data.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputMixin"><code class="docutils literal notranslate"><span class="pre">OutputMixin</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputMixin.get_time_dim_name"><code class="docutils literal notranslate"><span class="pre">OutputMixin.get_time_dim_name()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.OutputMixin.write_data"><code class="docutils literal notranslate"><span class="pre">OutputMixin.write_data()</span></code></a></li>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs"><code class="docutils literal notranslate"><span class="pre">RexOutputs</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.full_version_record"><code class="docutils literal notranslate"><span class="pre">RexOutputs.full_version_record</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.set_version_attr"><code class="docutils literal notranslate"><span class="pre">RexOutputs.set_version_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.SAM_configs"><code class="docutils literal notranslate"><span class="pre">RexOutputs.SAM_configs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.add_dataset"><code class="docutils literal notranslate"><span class="pre">RexOutputs.add_dataset()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.adders"><code class="docutils literal notranslate"><span class="pre">RexOutputs.adders</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.attrs"><code class="docutils literal notranslate"><span class="pre">RexOutputs.attrs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.chunks"><code class="docutils literal notranslate"><span class="pre">RexOutputs.chunks</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.close"><code class="docutils literal notranslate"><span class="pre">RexOutputs.close()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.coordinates"><code class="docutils literal notranslate"><span class="pre">RexOutputs.coordinates</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.data_version"><code class="docutils literal notranslate"><span class="pre">RexOutputs.data_version</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.datasets"><code class="docutils literal notranslate"><span class="pre">RexOutputs.datasets</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.df_str_decode"><code class="docutils literal notranslate"><span class="pre">RexOutputs.df_str_decode()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.dsets"><code class="docutils literal notranslate"><span class="pre">RexOutputs.dsets</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.dtypes"><code class="docutils literal notranslate"><span class="pre">RexOutputs.dtypes</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.get_SAM_df"><code class="docutils literal notranslate"><span class="pre">RexOutputs.get_SAM_df()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.get_attrs"><code class="docutils literal notranslate"><span class="pre">RexOutputs.get_attrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.get_config"><code class="docutils literal notranslate"><span class="pre">RexOutputs.get_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.get_dset_properties"><code class="docutils literal notranslate"><span class="pre">RexOutputs.get_dset_properties()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.get_meta_arr"><code class="docutils literal notranslate"><span class="pre">RexOutputs.get_meta_arr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.get_scale_factor"><code class="docutils literal notranslate"><span class="pre">RexOutputs.get_scale_factor()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.get_units"><code class="docutils literal notranslate"><span class="pre">RexOutputs.get_units()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.global_attrs"><code class="docutils literal notranslate"><span class="pre">RexOutputs.global_attrs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.groups"><code class="docutils literal notranslate"><span class="pre">RexOutputs.groups</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.h5"><code class="docutils literal notranslate"><span class="pre">RexOutputs.h5</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.init_h5"><code class="docutils literal notranslate"><span class="pre">RexOutputs.init_h5()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.lat_lon"><code class="docutils literal notranslate"><span class="pre">RexOutputs.lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.meta"><code class="docutils literal notranslate"><span class="pre">RexOutputs.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.open_dataset"><code class="docutils literal notranslate"><span class="pre">RexOutputs.open_dataset()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.package"><code class="docutils literal notranslate"><span class="pre">RexOutputs.package</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.preload_SAM"><code class="docutils literal notranslate"><span class="pre">RexOutputs.preload_SAM()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.res_dsets"><code class="docutils literal notranslate"><span class="pre">RexOutputs.res_dsets</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.resource_datasets"><code class="docutils literal notranslate"><span class="pre">RexOutputs.resource_datasets</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.run_attrs"><code class="docutils literal notranslate"><span class="pre">RexOutputs.run_attrs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.scale_factors"><code class="docutils literal notranslate"><span class="pre">RexOutputs.scale_factors</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.set_configs"><code class="docutils literal notranslate"><span class="pre">RexOutputs.set_configs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.shape"><code class="docutils literal notranslate"><span class="pre">RexOutputs.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.shapes"><code class="docutils literal notranslate"><span class="pre">RexOutputs.shapes</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.source"><code class="docutils literal notranslate"><span class="pre">RexOutputs.source</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.time_index"><code class="docutils literal notranslate"><span class="pre">RexOutputs.time_index</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.units"><code class="docutils literal notranslate"><span class="pre">RexOutputs.units</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.update_dset"><code class="docutils literal notranslate"><span class="pre">RexOutputs.update_dset()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.version"><code class="docutils literal notranslate"><span class="pre">RexOutputs.version</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.writable"><code class="docutils literal notranslate"><span class="pre">RexOutputs.writable</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.write_dataset"><code class="docutils literal notranslate"><span class="pre">RexOutputs.write_dataset()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.write_means"><code class="docutils literal notranslate"><span class="pre">RexOutputs.write_means()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.write_profiles"><code class="docutils literal notranslate"><span class="pre">RexOutputs.write_profiles()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-postprocessing-writers-base-rexoutputs">
+<h1>sup3r.postprocessing.writers.base.RexOutputs<a class="headerlink" href="#sup3r-postprocessing-writers-base-rexoutputs" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">RexOutputs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h5_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'r'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unscale</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">str_decode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/writers/base.html#RexOutputs"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Outputs</span></code></p>
+<p>Base class to handle NREL h5 formatted output data</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>h5_file</strong> (<em>str</em>) – Path to .h5 resource file</p></li>
+<li><p><strong>mode</strong> (<em>str, optional</em>) – Mode to instantiate h5py.File instance, by default ‘r’</p></li>
+<li><p><strong>unscale</strong> (<em>bool, optional</em>) – Boolean flag to automatically unscale variables on extraction,
+by default True</p></li>
+<li><p><strong>str_decode</strong> (<em>bool, optional</em>) – Boolean flag to decode the bytestring meta data into normal
+strings. Setting this to False will speed up the meta data read,
+by default True</p></li>
+<li><p><strong>group</strong> (<em>str, optional</em>) – Group within .h5 resource file to open, by default None</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.add_dataset" title="sup3r.postprocessing.writers.base.RexOutputs.add_dataset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">add_dataset</span></code></a>(h5_file, dset_name, dset_data, dtype)</p></td>
+<td><p>Add dataset to h5_file</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.close" title="sup3r.postprocessing.writers.base.RexOutputs.close"><code class="xref py py-obj docutils literal notranslate"><span class="pre">close</span></code></a>()</p></td>
+<td><p>Close h5 instance</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.df_str_decode" title="sup3r.postprocessing.writers.base.RexOutputs.df_str_decode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">df_str_decode</span></code></a>(df)</p></td>
+<td><p>Decode a dataframe with byte string columns into ordinary str cols.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.get_SAM_df" title="sup3r.postprocessing.writers.base.RexOutputs.get_SAM_df"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_SAM_df</span></code></a>(site)</p></td>
+<td><p>Placeholder for get_SAM_df method that it resource specific</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.get_attrs" title="sup3r.postprocessing.writers.base.RexOutputs.get_attrs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_attrs</span></code></a>([dset])</p></td>
+<td><p>Get h5 attributes either from file or dataset</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.get_config" title="sup3r.postprocessing.writers.base.RexOutputs.get_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_config</span></code></a>(config_name)</p></td>
+<td><p>Get SAM config</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.get_dset_properties" title="sup3r.postprocessing.writers.base.RexOutputs.get_dset_properties"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_dset_properties</span></code></a>(dset)</p></td>
+<td><p>Get dataset properties (shape, dtype, chunks)</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.get_meta_arr" title="sup3r.postprocessing.writers.base.RexOutputs.get_meta_arr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_meta_arr</span></code></a>(rec_name[, rows])</p></td>
+<td><p>Get a meta array by name (faster than DataFrame extraction).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.get_scale_factor" title="sup3r.postprocessing.writers.base.RexOutputs.get_scale_factor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_scale_factor</span></code></a>(dset)</p></td>
+<td><p>Get dataset scale factor</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.get_units" title="sup3r.postprocessing.writers.base.RexOutputs.get_units"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_units</span></code></a>(dset)</p></td>
+<td><p>Get dataset units</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.init_h5" title="sup3r.postprocessing.writers.base.RexOutputs.init_h5"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_h5</span></code></a>(h5_file, dsets, shapes, attrs, ...)</p></td>
+<td><p>Init a full output file with the final intended shape without data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.open_dataset" title="sup3r.postprocessing.writers.base.RexOutputs.open_dataset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">open_dataset</span></code></a>(ds_name)</p></td>
+<td><p>Open resource dataset</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.preload_SAM" title="sup3r.postprocessing.writers.base.RexOutputs.preload_SAM"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preload_SAM</span></code></a>(h5_file, sites, tech[, unscale, ...])</p></td>
+<td><p>Pre-load project_points for SAM</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.set_configs" title="sup3r.postprocessing.writers.base.RexOutputs.set_configs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_configs</span></code></a>(SAM_configs)</p></td>
+<td><p>Set SAM configuration JSONs as attributes of 'meta'</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.set_version_attr" title="sup3r.postprocessing.writers.base.RexOutputs.set_version_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_version_attr</span></code></a>()</p></td>
+<td><p>Set the version attribute to the h5 file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.update_dset" title="sup3r.postprocessing.writers.base.RexOutputs.update_dset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_dset</span></code></a>(dset, dset_array[, dset_slice])</p></td>
+<td><p>Check to see if dset needs to be updated on disk If so write dset_array to disk</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.write_dataset" title="sup3r.postprocessing.writers.base.RexOutputs.write_dataset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_dataset</span></code></a>(dset_name, data, dtype[, ...])</p></td>
+<td><p>Write dataset to disk.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.write_means" title="sup3r.postprocessing.writers.base.RexOutputs.write_means"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_means</span></code></a>(h5_file, meta, dset_name, means, ...)</p></td>
+<td><p>Write means array to disk</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.write_profiles" title="sup3r.postprocessing.writers.base.RexOutputs.write_profiles"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_profiles</span></code></a>(h5_file, meta, time_index, ...)</p></td>
+<td><p>Write profiles to disk</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">ADD_ATTR</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.SAM_configs" title="sup3r.postprocessing.writers.base.RexOutputs.SAM_configs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SAM_configs</span></code></a></p></td>
+<td><p>SAM configuration JSONs used to create CF profiles</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">SCALE_ATTR</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">UNIT_ATTR</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.adders" title="sup3r.postprocessing.writers.base.RexOutputs.adders"><code class="xref py py-obj docutils literal notranslate"><span class="pre">adders</span></code></a></p></td>
+<td><p>Dictionary of all dataset add offset factors</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.attrs" title="sup3r.postprocessing.writers.base.RexOutputs.attrs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">attrs</span></code></a></p></td>
+<td><p>Dictionary of all dataset attributes</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.chunks" title="sup3r.postprocessing.writers.base.RexOutputs.chunks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">chunks</span></code></a></p></td>
+<td><p>Dictionary of all dataset chunk sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.coordinates" title="sup3r.postprocessing.writers.base.RexOutputs.coordinates"><code class="xref py py-obj docutils literal notranslate"><span class="pre">coordinates</span></code></a></p></td>
+<td><p>(lat, lon) pairs</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.data_version" title="sup3r.postprocessing.writers.base.RexOutputs.data_version"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data_version</span></code></a></p></td>
+<td><p>Get the version attribute of the data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.datasets" title="sup3r.postprocessing.writers.base.RexOutputs.datasets"><code class="xref py py-obj docutils literal notranslate"><span class="pre">datasets</span></code></a></p></td>
+<td><p>Datasets available</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.dsets" title="sup3r.postprocessing.writers.base.RexOutputs.dsets"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dsets</span></code></a></p></td>
+<td><p>Datasets available</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.dtypes" title="sup3r.postprocessing.writers.base.RexOutputs.dtypes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dtypes</span></code></a></p></td>
+<td><p>Dictionary of all dataset dtypes</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.full_version_record" title="sup3r.postprocessing.writers.base.RexOutputs.full_version_record"><code class="xref py py-obj docutils literal notranslate"><span class="pre">full_version_record</span></code></a></p></td>
+<td><p>Get record of versions for dependencies</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.global_attrs" title="sup3r.postprocessing.writers.base.RexOutputs.global_attrs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">global_attrs</span></code></a></p></td>
+<td><p>Global (file) attributes</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.groups" title="sup3r.postprocessing.writers.base.RexOutputs.groups"><code class="xref py py-obj docutils literal notranslate"><span class="pre">groups</span></code></a></p></td>
+<td><p>Groups available</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.h5" title="sup3r.postprocessing.writers.base.RexOutputs.h5"><code class="xref py py-obj docutils literal notranslate"><span class="pre">h5</span></code></a></p></td>
+<td><p>Open h5py File instance.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.lat_lon" title="sup3r.postprocessing.writers.base.RexOutputs.lat_lon"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lat_lon</span></code></a></p></td>
+<td><p>Extract (latitude, longitude) pairs</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.meta" title="sup3r.postprocessing.writers.base.RexOutputs.meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meta</span></code></a></p></td>
+<td><p>Resource meta data DataFrame</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.package" title="sup3r.postprocessing.writers.base.RexOutputs.package"><code class="xref py py-obj docutils literal notranslate"><span class="pre">package</span></code></a></p></td>
+<td><p>Package used to create file</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.res_dsets" title="sup3r.postprocessing.writers.base.RexOutputs.res_dsets"><code class="xref py py-obj docutils literal notranslate"><span class="pre">res_dsets</span></code></a></p></td>
+<td><p>Available resource datasets</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.resource_datasets" title="sup3r.postprocessing.writers.base.RexOutputs.resource_datasets"><code class="xref py py-obj docutils literal notranslate"><span class="pre">resource_datasets</span></code></a></p></td>
+<td><p>Available resource datasets</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.run_attrs" title="sup3r.postprocessing.writers.base.RexOutputs.run_attrs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run_attrs</span></code></a></p></td>
+<td><p>Runtime attributes stored at the global (file) level</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.scale_factors" title="sup3r.postprocessing.writers.base.RexOutputs.scale_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">scale_factors</span></code></a></p></td>
+<td><p>Dictionary of all dataset scale factors</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.shape" title="sup3r.postprocessing.writers.base.RexOutputs.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Variable array shape from time_index and meta</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.shapes" title="sup3r.postprocessing.writers.base.RexOutputs.shapes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shapes</span></code></a></p></td>
+<td><p>Dictionary of all dataset shapes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.source" title="sup3r.postprocessing.writers.base.RexOutputs.source"><code class="xref py py-obj docutils literal notranslate"><span class="pre">source</span></code></a></p></td>
+<td><p>Package and version used to create file</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.time_index" title="sup3r.postprocessing.writers.base.RexOutputs.time_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">time_index</span></code></a></p></td>
+<td><p>Resource DatetimeIndex</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.units" title="sup3r.postprocessing.writers.base.RexOutputs.units"><code class="xref py py-obj docutils literal notranslate"><span class="pre">units</span></code></a></p></td>
+<td><p>Dictionary of all dataset units</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.version" title="sup3r.postprocessing.writers.base.RexOutputs.version"><code class="xref py py-obj docutils literal notranslate"><span class="pre">version</span></code></a></p></td>
+<td><p>Version of package used to create file</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.base.RexOutputs.writable" title="sup3r.postprocessing.writers.base.RexOutputs.writable"><code class="xref py py-obj docutils literal notranslate"><span class="pre">writable</span></code></a></p></td>
+<td><p>Check to see if h5py.File instance is writable</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.full_version_record">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">full_version_record</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.full_version_record" title="Link to this definition">#</a></dt>
+<dd><p>Get record of versions for dependencies</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>dict</em> – Dictionary of package versions for dependencies</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.set_version_attr">
+<span class="sig-name descname"><span class="pre">set_version_attr</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/postprocessing/writers/base.html#RexOutputs.set_version_attr"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.set_version_attr" title="Link to this definition">#</a></dt>
+<dd><p>Set the version attribute to the h5 file.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.SAM_configs">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">SAM_configs</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.SAM_configs" title="Link to this definition">#</a></dt>
+<dd><p>SAM configuration JSONs used to create CF profiles</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>configs</strong> (<em>dict</em>) – Dictionary of SAM configuration JSONs</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.add_dataset">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">add_dataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h5_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dset_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dset_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attrs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unscale</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'a'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">str_decode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.add_dataset" title="Link to this definition">#</a></dt>
+<dd><p>Add dataset to h5_file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>h5_file</strong> (<em>str</em>) – Path to .h5 resource file</p></li>
+<li><p><strong>dset_name</strong> (<em>str</em>) – Name of dataset to be added to h5 file</p></li>
+<li><p><strong>dset_data</strong> (<em>ndarray</em>) – Data to be added to h5 file</p></li>
+<li><p><strong>dtype</strong> (<em>str</em>) – Intended dataset datatype after scaling.</p></li>
+<li><p><strong>attrs</strong> (<em>dict, optional</em>) – Attributes to be set. May include ‘scale_factor’, by default None</p></li>
+<li><p><strong>unscale</strong> (<em>bool, optional</em>) – Boolean flag to automatically unscale variables on extraction,
+by default True</p></li>
+<li><p><strong>mode</strong> (<em>str, optional</em>) – Mode to instantiate h5py.File instance, by default ‘a’</p></li>
+<li><p><strong>str_decode</strong> (<em>bool, optional</em>) – Boolean flag to decode the bytestring meta data into normal
+strings. Setting this to False will speed up the meta data read,
+by default True</p></li>
+<li><p><strong>group</strong> (<em>str, optional</em>) – Group within .h5 resource file to open, by default None</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.adders">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">adders</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.adders" title="Link to this definition">#</a></dt>
+<dd><p>Dictionary of all dataset add offset factors</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>adders</strong> (<em>dict</em>)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.attrs">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">attrs</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.attrs" title="Link to this definition">#</a></dt>
+<dd><p>Dictionary of all dataset attributes</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>attrs</strong> (<em>dict</em>)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.chunks">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">chunks</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.chunks" title="Link to this definition">#</a></dt>
+<dd><p>Dictionary of all dataset chunk sizes</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>chunks</strong> (<em>dict</em>)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.close">
+<span class="sig-name descname"><span class="pre">close</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.close" title="Link to this definition">#</a></dt>
+<dd><p>Close h5 instance</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.coordinates">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">coordinates</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.coordinates" title="Link to this definition">#</a></dt>
+<dd><p>(lat, lon) pairs</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>lat_lon</strong> (<em>ndarray</em>)</p>
+</dd>
+<dt class="field-even">Type<span class="colon">:</span></dt>
+<dd class="field-even"><p>Coordinates</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.data_version">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data_version</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.data_version" title="Link to this definition">#</a></dt>
+<dd><p>Get the version attribute of the data. None if not available.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>version</strong> (<em>str | None</em>)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.datasets">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">datasets</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.datasets" title="Link to this definition">#</a></dt>
+<dd><p>Datasets available</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>list</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.df_str_decode">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">df_str_decode</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.df_str_decode" title="Link to this definition">#</a></dt>
+<dd><p>Decode a dataframe with byte string columns into ordinary str cols.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>df</strong> (<em>pd.DataFrame</em>) – Dataframe with some columns being byte strings.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>df</strong> (<em>pd.DataFrame</em>) – DataFrame with str columns instead of byte str columns.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.dsets">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">dsets</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.dsets" title="Link to this definition">#</a></dt>
+<dd><p>Datasets available</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>list</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.dtypes">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">dtypes</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.dtypes" title="Link to this definition">#</a></dt>
+<dd><p>Dictionary of all dataset dtypes</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>dtypes</strong> (<em>dict</em>)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.get_SAM_df">
+<span class="sig-name descname"><span class="pre">get_SAM_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">site</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.get_SAM_df" title="Link to this definition">#</a></dt>
+<dd><p>Placeholder for get_SAM_df method that it resource specific</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>site</strong> (<em>int</em>) – Site to extract SAM DataFrame for</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.get_attrs">
+<span class="sig-name descname"><span class="pre">get_attrs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dset</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.get_attrs" title="Link to this definition">#</a></dt>
+<dd><p>Get h5 attributes either from file or dataset</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>dset</strong> (<em>str</em>) – Dataset to get attributes for, if None get file (global) attributes</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>attrs</strong> (<em>dict</em>) – Dataset or file attributes</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.get_config">
+<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config_name</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.get_config" title="Link to this definition">#</a></dt>
+<dd><p>Get SAM config</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>config_name</strong> (<em>str</em>) – Name of config</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>config</strong> (<em>dict</em>) – SAM config JSON as a dictionary</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.get_dset_properties">
+<span class="sig-name descname"><span class="pre">get_dset_properties</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dset</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.get_dset_properties" title="Link to this definition">#</a></dt>
+<dd><p>Get dataset properties (shape, dtype, chunks)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>dset</strong> (<em>str</em>) – Dataset to get scale factor for</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>shape</strong> (<em>tuple</em>) – Dataset array shape</p></li>
+<li><p><strong>dtype</strong> (<em>str</em>) – Dataset array dtype</p></li>
+<li><p><strong>chunks</strong> (<em>tuple</em>) – Dataset chunk size</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.get_meta_arr">
+<span class="sig-name descname"><span class="pre">get_meta_arr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rec_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rows</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">slice(None,</span> <span class="pre">None,</span> <span class="pre">None)</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.get_meta_arr" title="Link to this definition">#</a></dt>
+<dd><p>Get a meta array by name (faster than DataFrame extraction).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>rec_name</strong> (<em>str</em>) – Named record from the meta data to retrieve.</p></li>
+<li><p><strong>rows</strong> (<em>slice</em>) – Rows of the record to extract.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>meta_arr</strong> (<em>np.ndarray</em>) – Extracted array from the meta data record name.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.get_scale_factor">
+<span class="sig-name descname"><span class="pre">get_scale_factor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dset</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.get_scale_factor" title="Link to this definition">#</a></dt>
+<dd><p>Get dataset scale factor</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>dset</strong> (<em>str</em>) – Dataset to get scale factor for</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>float</em> – Dataset scale factor, used to unscale int values to floats</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.get_units">
+<span class="sig-name descname"><span class="pre">get_units</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dset</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.get_units" title="Link to this definition">#</a></dt>
+<dd><p>Get dataset units</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>dset</strong> (<em>str</em>) – Dataset to get units for</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>str</em> – Dataset units, None if not defined</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.global_attrs">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">global_attrs</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.global_attrs" title="Link to this definition">#</a></dt>
+<dd><p>Global (file) attributes</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>global_attrs</strong> (<em>dict</em>)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.groups">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">groups</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.groups" title="Link to this definition">#</a></dt>
+<dd><p>Groups available</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>groups</strong> (<em>list</em>) – List of groups</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.h5">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">h5</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.h5" title="Link to this definition">#</a></dt>
+<dd><p>Open h5py File instance. If _group is not None return open Group</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>h5</strong> (<em>h5py.File | h5py.Group</em>)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.init_h5">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">init_h5</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h5_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dsets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shapes</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attrs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtypes</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_index</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">configs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unscale</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'w'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">str_decode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">run_attrs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.init_h5" title="Link to this definition">#</a></dt>
+<dd><p>Init a full output file with the final intended shape without data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>h5_file</strong> (<em>str</em>) – Full h5 output filepath.</p></li>
+<li><p><strong>dsets</strong> (<em>list</em>) – List of strings of dataset names to initialize (does not include
+meta or time_index).</p></li>
+<li><p><strong>shapes</strong> (<em>dict</em>) – Dictionary of dataset shapes (keys correspond to dsets).</p></li>
+<li><p><strong>attrs</strong> (<em>dict</em>) – Dictionary of dataset attributes (keys correspond to dsets).</p></li>
+<li><p><strong>chunks</strong> (<em>dict</em>) – Dictionary of chunk tuples (keys correspond to dsets).</p></li>
+<li><p><strong>dtypes</strong> (<em>dict</em>) – dictionary of numpy datatypes (keys correspond to dsets).</p></li>
+<li><p><strong>meta</strong> (<em>pd.DataFrame</em>) – Full meta data.</p></li>
+<li><p><strong>time_index</strong> (<em>pd.datetimeindex | None</em>) – Full pandas datetime index. None implies that only 1D results
+(no site profiles) are being written.</p></li>
+<li><p><strong>configs</strong> (<em>dict | None</em>) – Optional input configs to set as attr on meta.</p></li>
+<li><p><strong>unscale</strong> (<em>bool</em>) – Boolean flag to automatically unscale variables on extraction</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Mode to instantiate h5py.File instance</p></li>
+<li><p><strong>str_decode</strong> (<em>bool</em>) – Boolean flag to decode the bytestring meta data into normal
+strings. Setting this to False will speed up the meta data read.</p></li>
+<li><p><strong>group</strong> (<em>str</em>) – Group within .h5 resource file to open</p></li>
+<li><p><strong>run_attrs</strong> (<em>dict | NoneType</em>) – Runtime attributes (args, kwargs) to add as global (file)
+attributes</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.lat_lon">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lat_lon</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.lat_lon" title="Link to this definition">#</a></dt>
+<dd><p>Extract (latitude, longitude) pairs</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>lat_lon</strong> (<em>ndarray</em>)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.meta">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">meta</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.meta" title="Link to this definition">#</a></dt>
+<dd><p>Resource meta data DataFrame</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>meta</strong> (<em>pandas.DataFrame</em>)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.open_dataset">
+<span class="sig-name descname"><span class="pre">open_dataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ds_name</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.open_dataset" title="Link to this definition">#</a></dt>
+<dd><p>Open resource dataset</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>ds_name</strong> (<em>str</em>) – Dataset name to open</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>ds</strong> (<em>ResourceDataset</em>) – Resource for open resource dataset</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.package">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">package</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.package" title="Link to this definition">#</a></dt>
+<dd><p>Package used to create file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>str</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.preload_SAM">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">preload_SAM</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h5_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sites</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tech</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unscale</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">str_decode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hsds</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hsds_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_index_step</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">means</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.preload_SAM" title="Link to this definition">#</a></dt>
+<dd><p>Pre-load project_points for SAM</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>h5_file</strong> (<em>str</em>) – h5_file to extract resource from</p></li>
+<li><p><strong>sites</strong> (<em>list</em>) – List of sites to be provided to SAM
+(sites is synonymous with gids aka spatial indices)</p></li>
+<li><p><strong>tech</strong> (<em>str</em>) – Technology to be run by SAM</p></li>
+<li><p><strong>unscale</strong> (<em>bool</em>) – Boolean flag to automatically unscale variables on extraction</p></li>
+<li><p><strong>str_decode</strong> (<em>bool</em>) – Boolean flag to decode the bytestring meta data into normal
+strings. Setting this to False will speed up the meta data read.</p></li>
+<li><p><strong>group</strong> (<em>str</em>) – Group within .h5 resource file to open</p></li>
+<li><p><strong>hsds</strong> (<em>bool, optional</em>) – Boolean flag to use h5pyd to handle .h5 ‘files’ hosted on AWS
+behind HSDS, by default False</p></li>
+<li><p><strong>hsds_kwargs</strong> (<em>dict, optional</em>) – Dictionary of optional kwargs for h5pyd, e.g., bucket, username,
+password, by default None</p></li>
+<li><p><strong>time_index_step</strong> (<em>int, optional</em>) – Step size for time_index, used to reduce temporal resolution,
+by default None</p></li>
+<li><p><strong>means</strong> (<em>bool, optional</em>) – Boolean flag to compute mean resource when res_array is set,
+by default False</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>SAM_res</strong> (<em>SAMResource</em>) – Instance of SAMResource pre-loaded with Solar resource for sites
+in project_points</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.res_dsets">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">res_dsets</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.res_dsets" title="Link to this definition">#</a></dt>
+<dd><p>Available resource datasets</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>list</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.resource_datasets">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">resource_datasets</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.resource_datasets" title="Link to this definition">#</a></dt>
+<dd><p>Available resource datasets</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>list</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.run_attrs">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">run_attrs</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.run_attrs" title="Link to this definition">#</a></dt>
+<dd><p>Runtime attributes stored at the global (file) level</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>global_attrs</strong> (<em>dict</em>)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.scale_factors">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">scale_factors</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.scale_factors" title="Link to this definition">#</a></dt>
+<dd><p>Dictionary of all dataset scale factors</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>scale_factors</strong> (<em>dict</em>)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.set_configs">
+<span class="sig-name descname"><span class="pre">set_configs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">SAM_configs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.set_configs" title="Link to this definition">#</a></dt>
+<dd><p>Set SAM configuration JSONs as attributes of ‘meta’</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>SAM_configs</strong> (<em>dict</em>) – Dictionary of SAM configuration JSONs</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.shape" title="Link to this definition">#</a></dt>
+<dd><p>Variable array shape from time_index and meta</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>tuple</em> – shape of variables arrays == (time, locations)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.shapes">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shapes</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.shapes" title="Link to this definition">#</a></dt>
+<dd><p>Dictionary of all dataset shapes</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>shapes</strong> (<em>dict</em>)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.source">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">source</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.source" title="Link to this definition">#</a></dt>
+<dd><p>Package and version used to create file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>str</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.time_index">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">time_index</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.time_index" title="Link to this definition">#</a></dt>
+<dd><p>Resource DatetimeIndex</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>time_index</strong> (<em>pandas.DatetimeIndex</em>)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.units">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">units</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.units" title="Link to this definition">#</a></dt>
+<dd><p>Dictionary of all dataset units</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>units</strong> (<em>dict</em>)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.update_dset">
+<span class="sig-name descname"><span class="pre">update_dset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dset_array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dset_slice</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.update_dset" title="Link to this definition">#</a></dt>
+<dd><p>Check to see if dset needs to be updated on disk
+If so write dset_array to disk</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dset</strong> (<em>str</em>) – dataset to update</p></li>
+<li><p><strong>dset_array</strong> (<em>ndarray</em>) – dataset array</p></li>
+<li><p><strong>dset_slice</strong> (<em>tuple</em>) – slice of dataset to update, it None update all</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.version">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">version</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.version" title="Link to this definition">#</a></dt>
+<dd><p>Version of package used to create file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>str</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.writable">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">writable</span></span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.writable" title="Link to this definition">#</a></dt>
+<dd><p>Check to see if h5py.File instance is writable</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>is_writable</strong> (<em>bool</em>) – Flag if mode is writable</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.write_dataset">
+<span class="sig-name descname"><span class="pre">write_dataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dset_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attrs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.write_dataset" title="Link to this definition">#</a></dt>
+<dd><p>Write dataset to disk. Dataset it created in .h5 file and data is
+scaled if needed.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dset_name</strong> (<em>str</em>) – Name of dataset to be added to h5 file.</p></li>
+<li><p><strong>data</strong> (<em>ndarray</em>) – Data to be added to h5 file.</p></li>
+<li><p><strong>dtype</strong> (<em>str</em>) – Intended dataset datatype after scaling.</p></li>
+<li><p><strong>chunks</strong> (<em>tuple</em>) – Chunk size for capacity factor means dataset.</p></li>
+<li><p><strong>attrs</strong> (<em>dict</em>) – Attributes to be set. May include ‘scale_factor’.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.write_means">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">write_means</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h5_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dset_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">means</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attrs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">SAM_configs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unscale</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'w-'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">str_decode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.write_means" title="Link to this definition">#</a></dt>
+<dd><p>Write means array to disk</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>h5_file</strong> (<em>str</em>) – Path to .h5 resource file</p></li>
+<li><p><strong>meta</strong> (<em>pandas.Dataframe</em>) – Locational meta data</p></li>
+<li><p><strong>dset_name</strong> (<em>str</em>) – Name of the target dataset (should identify the means).</p></li>
+<li><p><strong>means</strong> (<em>ndarray</em>) – output means array.</p></li>
+<li><p><strong>dtype</strong> (<em>str</em>) – Intended dataset datatype after scaling.</p></li>
+<li><p><strong>attrs</strong> (<em>dict, optional</em>) – Attributes to be set. May include ‘scale_factor’, by default None</p></li>
+<li><p><strong>SAM_configs</strong> (<em>dict, optional</em>) – Dictionary of SAM configuration JSONs used to compute cf means,
+by default None</p></li>
+<li><p><strong>chunks</strong> (<em>tuple, optional</em>) – Chunk size for capacity factor means dataset, by default None</p></li>
+<li><p><strong>unscale</strong> (<em>bool, optional</em>) – Boolean flag to automatically unscale variables on extraction,
+by default True</p></li>
+<li><p><strong>mode</strong> (<em>str, optional</em>) – Mode to instantiate h5py.File instance, by default ‘w-’</p></li>
+<li><p><strong>str_decode</strong> (<em>bool, optional</em>) – Boolean flag to decode the bytestring meta data into normal
+strings. Setting this to False will speed up the meta data read,
+by default True</p></li>
+<li><p><strong>group</strong> (<em>str, optional</em>) – Group within .h5 resource file to open, by default None</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.base.RexOutputs.write_profiles">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">write_profiles</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">h5_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dset_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">profiles</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attrs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">SAM_configs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(None,</span> <span class="pre">100)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unscale</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'w-'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">str_decode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">group</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.base.RexOutputs.write_profiles" title="Link to this definition">#</a></dt>
+<dd><p>Write profiles to disk</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>h5_file</strong> (<em>str</em>) – Path to .h5 resource file</p></li>
+<li><p><strong>meta</strong> (<em>pandas.Dataframe</em>) – Locational meta data</p></li>
+<li><p><strong>time_index</strong> (<em>pandas.DatetimeIndex</em>) – Temporal timesteps</p></li>
+<li><p><strong>dset_name</strong> (<em>str</em>) – Name of the target dataset (should identify the profiles).</p></li>
+<li><p><strong>profiles</strong> (<em>ndarray</em>) – output result timeseries profiles</p></li>
+<li><p><strong>dtype</strong> (<em>str</em>) – Intended dataset datatype after scaling.</p></li>
+<li><p><strong>attrs</strong> (<em>dict, optional</em>) – Attributes to be set. May include ‘scale_factor’, by default None</p></li>
+<li><p><strong>SAM_configs</strong> (<em>dict, optional</em>) – Dictionary of SAM configuration JSONs used to compute cf means,
+by default None</p></li>
+<li><p><strong>chunks</strong> (<em>tuple, optional</em>) – Chunk size for capacity factor means dataset,
+by default (None, 100)</p></li>
+<li><p><strong>unscale</strong> (<em>bool, optional</em>) – Boolean flag to automatically unscale variables on extraction,
+by default True</p></li>
+<li><p><strong>mode</strong> (<em>str, optional</em>) – Mode to instantiate h5py.File instance, by default ‘w-’</p></li>
+<li><p><strong>str_decode</strong> (<em>bool, optional</em>) – Boolean flag to decode the bytestring meta data into normal
+strings. Setting this to False will speed up the meta data read,
+by default True</p></li>
+<li><p><strong>group</strong> (<em>str, optional</em>) – Group within .h5 resource file to open, by default None</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
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+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs"><code class="docutils literal notranslate"><span class="pre">RexOutputs</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.full_version_record"><code class="docutils literal notranslate"><span class="pre">RexOutputs.full_version_record</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.set_version_attr"><code class="docutils literal notranslate"><span class="pre">RexOutputs.set_version_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.SAM_configs"><code class="docutils literal notranslate"><span class="pre">RexOutputs.SAM_configs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.add_dataset"><code class="docutils literal notranslate"><span class="pre">RexOutputs.add_dataset()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.adders"><code class="docutils literal notranslate"><span class="pre">RexOutputs.adders</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.attrs"><code class="docutils literal notranslate"><span class="pre">RexOutputs.attrs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.chunks"><code class="docutils literal notranslate"><span class="pre">RexOutputs.chunks</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.close"><code class="docutils literal notranslate"><span class="pre">RexOutputs.close()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.coordinates"><code class="docutils literal notranslate"><span class="pre">RexOutputs.coordinates</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.data_version"><code class="docutils literal notranslate"><span class="pre">RexOutputs.data_version</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.datasets"><code class="docutils literal notranslate"><span class="pre">RexOutputs.datasets</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.df_str_decode"><code class="docutils literal notranslate"><span class="pre">RexOutputs.df_str_decode()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.dsets"><code class="docutils literal notranslate"><span class="pre">RexOutputs.dsets</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.dtypes"><code class="docutils literal notranslate"><span class="pre">RexOutputs.dtypes</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.get_SAM_df"><code class="docutils literal notranslate"><span class="pre">RexOutputs.get_SAM_df()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.get_attrs"><code class="docutils literal notranslate"><span class="pre">RexOutputs.get_attrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.get_config"><code class="docutils literal notranslate"><span class="pre">RexOutputs.get_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.get_dset_properties"><code class="docutils literal notranslate"><span class="pre">RexOutputs.get_dset_properties()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.get_meta_arr"><code class="docutils literal notranslate"><span class="pre">RexOutputs.get_meta_arr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.get_scale_factor"><code class="docutils literal notranslate"><span class="pre">RexOutputs.get_scale_factor()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.get_units"><code class="docutils literal notranslate"><span class="pre">RexOutputs.get_units()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.global_attrs"><code class="docutils literal notranslate"><span class="pre">RexOutputs.global_attrs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.groups"><code class="docutils literal notranslate"><span class="pre">RexOutputs.groups</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.h5"><code class="docutils literal notranslate"><span class="pre">RexOutputs.h5</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.init_h5"><code class="docutils literal notranslate"><span class="pre">RexOutputs.init_h5()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.lat_lon"><code class="docutils literal notranslate"><span class="pre">RexOutputs.lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.meta"><code class="docutils literal notranslate"><span class="pre">RexOutputs.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.open_dataset"><code class="docutils literal notranslate"><span class="pre">RexOutputs.open_dataset()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.package"><code class="docutils literal notranslate"><span class="pre">RexOutputs.package</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.preload_SAM"><code class="docutils literal notranslate"><span class="pre">RexOutputs.preload_SAM()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.res_dsets"><code class="docutils literal notranslate"><span class="pre">RexOutputs.res_dsets</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.resource_datasets"><code class="docutils literal notranslate"><span class="pre">RexOutputs.resource_datasets</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.run_attrs"><code class="docutils literal notranslate"><span class="pre">RexOutputs.run_attrs</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.scale_factors"><code class="docutils literal notranslate"><span class="pre">RexOutputs.scale_factors</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.set_configs"><code class="docutils literal notranslate"><span class="pre">RexOutputs.set_configs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.shape"><code class="docutils literal notranslate"><span class="pre">RexOutputs.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.shapes"><code class="docutils literal notranslate"><span class="pre">RexOutputs.shapes</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.source"><code class="docutils literal notranslate"><span class="pre">RexOutputs.source</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.time_index"><code class="docutils literal notranslate"><span class="pre">RexOutputs.time_index</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.units"><code class="docutils literal notranslate"><span class="pre">RexOutputs.units</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.update_dset"><code class="docutils literal notranslate"><span class="pre">RexOutputs.update_dset()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.version"><code class="docutils literal notranslate"><span class="pre">RexOutputs.version</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.writable"><code class="docutils literal notranslate"><span class="pre">RexOutputs.writable</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.write_dataset"><code class="docutils literal notranslate"><span class="pre">RexOutputs.write_dataset()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.write_means"><code class="docutils literal notranslate"><span class="pre">RexOutputs.write_means()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.base.RexOutputs.write_profiles"><code class="docutils literal notranslate"><span class="pre">RexOutputs.write_profiles()</span></code></a></li>
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+  <section id="module-sup3r.postprocessing.writers.base">
+<span id="sup3r-postprocessing-writers-base"></span><h1>sup3r.postprocessing.writers.base<a class="headerlink" href="#module-sup3r.postprocessing.writers.base" title="Link to this heading">#</a></h1>
+<p>Output handling</p>
+<p>TODO: OutputHandlers should be combined with Cacher objects.</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler" title="sup3r.postprocessing.writers.base.OutputHandler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">OutputHandler</span></code></a>()</p></td>
+<td><p>Class to handle forward pass output.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.postprocessing.writers.base.OutputMixin.html#sup3r.postprocessing.writers.base.OutputMixin" title="sup3r.postprocessing.writers.base.OutputMixin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">OutputMixin</span></code></a>()</p></td>
+<td><p>Methods used by various Output and Collection classes</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs" title="sup3r.postprocessing.writers.base.RexOutputs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RexOutputs</span></code></a>(h5_file[, mode, unscale, ...])</p></td>
+<td><p>Base class to handle NREL h5 formatted output data</p></td>
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+    <h1>sup3r.postprocessing.writers.h5.OutputHandlerH5</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.enforce_limits"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5.enforce_limits()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_dset_attrs"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5.get_dset_attrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_lat_lon"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5.get_lat_lon()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_renamed_features"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5.get_renamed_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_time_dim_name"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5.get_time_dim_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_times"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5.get_times()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.invert_uv_features"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5.invert_uv_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.invert_uv_single_pair"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5.invert_uv_single_pair()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.is_increasing_lons"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5.is_increasing_lons()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.pad_lat_lon"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5.pad_lat_lon()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.write_data"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5.write_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.write_output"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5.write_output()</span></code></a></li>
+</ul>
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+</ul>
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+                  
+  <section id="sup3r-postprocessing-writers-h5-outputhandlerh5">
+<h1>sup3r.postprocessing.writers.h5.OutputHandlerH5<a class="headerlink" href="#sup3r-postprocessing-writers-h5-outputhandlerh5" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.h5.OutputHandlerH5">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">OutputHandlerH5</span></span><a class="reference internal" href="../_modules/sup3r/postprocessing/writers/h5.html#OutputHandlerH5"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler" title="sup3r.postprocessing.writers.base.OutputHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">OutputHandler</span></code></a></p>
+<p>Class to handle writing output to H5 file</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.enforce_limits" title="sup3r.postprocessing.writers.h5.OutputHandlerH5.enforce_limits"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enforce_limits</span></code></a>(features, data)</p></td>
+<td><p>Enforce physical limits for feature data</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_dset_attrs" title="sup3r.postprocessing.writers.h5.OutputHandlerH5.get_dset_attrs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_dset_attrs</span></code></a>(feature)</p></td>
+<td><p>Get attrributes for output feature</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_lat_lon" title="sup3r.postprocessing.writers.h5.OutputHandlerH5.get_lat_lon"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_lat_lon</span></code></a>(low_res_lat_lon, shape)</p></td>
+<td><p>Get lat lon arrays for high res output file</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_renamed_features" title="sup3r.postprocessing.writers.h5.OutputHandlerH5.get_renamed_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_renamed_features</span></code></a>(features)</p></td>
+<td><p>Rename features based on transformation from u/v to windspeed/winddirection</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_time_dim_name" title="sup3r.postprocessing.writers.h5.OutputHandlerH5.get_time_dim_name"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_time_dim_name</span></code></a>(filepath)</p></td>
+<td><p>Get the name of the time dimension in the given file</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_times" title="sup3r.postprocessing.writers.h5.OutputHandlerH5.get_times"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_times</span></code></a>(low_res_times, shape)</p></td>
+<td><p>Get array of times for high res output file</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.invert_uv_features" title="sup3r.postprocessing.writers.h5.OutputHandlerH5.invert_uv_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">invert_uv_features</span></code></a>(data, features, lat_lon)</p></td>
+<td><p>Invert U/V to windspeed and winddirection.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.invert_uv_single_pair" title="sup3r.postprocessing.writers.h5.OutputHandlerH5.invert_uv_single_pair"><code class="xref py py-obj docutils literal notranslate"><span class="pre">invert_uv_single_pair</span></code></a>(data, lat_lon, u_idx, ...)</p></td>
+<td><p>Perform inverse transform in place on a single u/v pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.is_increasing_lons" title="sup3r.postprocessing.writers.h5.OutputHandlerH5.is_increasing_lons"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_increasing_lons</span></code></a>(lat_lon)</p></td>
+<td><p>Check if longitudes are in increasing order.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.pad_lat_lon" title="sup3r.postprocessing.writers.h5.OutputHandlerH5.pad_lat_lon"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pad_lat_lon</span></code></a>(lat_lon)</p></td>
+<td><p>Pad lat lon grid with additional rows and columns to use for interpolation routine</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.write_data" title="sup3r.postprocessing.writers.h5.OutputHandlerH5.write_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_data</span></code></a>(out_file, dsets, time_index, ...)</p></td>
+<td><p>Write list of datasets to out_file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.write_output" title="sup3r.postprocessing.writers.h5.OutputHandlerH5.write_output"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_output</span></code></a>(data, features, ...[, ...])</p></td>
+<td><p>Write forward pass output to file</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.h5.OutputHandlerH5.enforce_limits">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">enforce_limits</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.enforce_limits" title="Link to this definition">#</a></dt>
+<dd><p>Enforce physical limits for feature data</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>features</strong> (<em>list</em>) – List of features with ordering corresponding to last channel of
+data array.</p></li>
+<li><p><strong>data</strong> (<em>ndarray</em>) – Array of feature data</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>data</strong> (<em>ndarray</em>) – Array of feature data with physical limits enforced</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.h5.OutputHandlerH5.get_dset_attrs">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_dset_attrs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_dset_attrs" title="Link to this definition">#</a></dt>
+<dd><p>Get attrributes for output feature</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>feature</strong> (<em>str</em>) – Name of feature to write</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>attrs</strong> (<em>dict</em>) – Dictionary of attributes for requested dset</p></li>
+<li><p><strong>dtype</strong> (<em>str</em>) – Data type for requested dset. Defaults to float32</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.h5.OutputHandlerH5.get_lat_lon">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_lat_lon</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res_lat_lon</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_lat_lon" title="Link to this definition">#</a></dt>
+<dd><p>Get lat lon arrays for high res output file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low_res_lat_lon</strong> (<em>ndarray</em>) – Array of lat/lon for input data. Longitudes must be arranged in
+a counter-clockwise direction (when looking down from above the
+north pole). e.g. [-50, -25, 25, 50] or [130, 180, -130, -80]. The
+latter passes through the 180 -&gt; -180 boundary and will be
+temporarily shifted to the 0-360 range before interpolation.
+(spatial_1, spatial_2, 2)
+Last dimension has ordering (lat, lon)</p></li>
+<li><p><strong>shape</strong> (<em>tuple</em>) – (lons, lats) Shape of high res grid</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>lat_lon</strong> (<em>ndarray</em>) – Array of lat lons for high res output file
+(spatial_1, spatial_2, 2)
+Last dimension has ordering (lat, lon)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.h5.OutputHandlerH5.get_renamed_features">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_renamed_features</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">features</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_renamed_features" title="Link to this definition">#</a></dt>
+<dd><p>Rename features based on transformation from u/v to
+windspeed/winddirection</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>features</strong> (<em>list</em>) – List of output features</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>list</em> – List of renamed features u/v -&gt; windspeed/winddirection for each
+height</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.h5.OutputHandlerH5.get_time_dim_name">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_time_dim_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_time_dim_name" title="Link to this definition">#</a></dt>
+<dd><p>Get the name of the time dimension in the given file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>filepath</strong> (<em>str</em>) – Path to the file</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>time_key</strong> (<em>str</em>) – Name of the time dimension in the given file</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.h5.OutputHandlerH5.get_times">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_times</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res_times</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_times" title="Link to this definition">#</a></dt>
+<dd><p>Get array of times for high res output file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low_res_times</strong> (<em>pd.Datetimeindex</em>) – List of times for low res input data. If there is only a single low
+res timestep, it is assumed the data is daily.</p></li>
+<li><p><strong>shape</strong> (<em>int</em>) – Number of time steps for high res time array</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>ndarray</em> – Array of times for high res output file.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.h5.OutputHandlerH5.invert_uv_features">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">invert_uv_features</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lat_lon</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.invert_uv_features" title="Link to this definition">#</a></dt>
+<dd><p>Invert U/V to windspeed and winddirection. Performed in place.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>ndarray</em>) – High res data from forward pass
+(spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>features</strong> (<em>list</em>) – List of output features. If this doesn’t contain any names matching
+u_*m, this method will do nothing.</p></li>
+<li><p><strong>lat_lon</strong> (<em>ndarray</em>) – High res lat/lon array
+(spatial_1, spatial_2, 2)</p></li>
+<li><p><strong>max_workers</strong> (<em>int | None</em>) – Max workers to use for inverse transform. If None the maximum
+possible will be used</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.h5.OutputHandlerH5.invert_uv_single_pair">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">invert_uv_single_pair</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lat_lon</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">u_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">v_idx</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.invert_uv_single_pair" title="Link to this definition">#</a></dt>
+<dd><p>Perform inverse transform in place on a single u/v pair.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>ndarray</em>) – High res data from forward pass
+(spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>lat_lon</strong> (<em>ndarray</em>) – High res lat/lon array
+(spatial_1, spatial_2, 2)</p></li>
+<li><p><strong>u_idx</strong> (<em>int</em>) – Index in data for U component to transform</p></li>
+<li><p><strong>v_idx</strong> (<em>int</em>) – Index in data for V component to transform</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.h5.OutputHandlerH5.is_increasing_lons">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_increasing_lons</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lat_lon</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.is_increasing_lons" title="Link to this definition">#</a></dt>
+<dd><p>Check if longitudes are in increasing order. Need to check this
+for interpolation routine. This is primarily to identify whether the
+lons go through the 180 -&gt; -180 boundary, which creates a
+discontinuity. For example, [130, 180, -130, -80]. If any lons go from
+positive to negative the lons need to be shifted to the range 0-360.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>lat_lon</strong> (<em>ndarray</em>) – Array of lat/lon for input data.
+(spatial_1, spatial_2, 2)
+Last dimension has ordering (lat, lon)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>bool</em> – Whether all lons are in increasing order or not</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.h5.OutputHandlerH5.pad_lat_lon">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">pad_lat_lon</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lat_lon</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.pad_lat_lon" title="Link to this definition">#</a></dt>
+<dd><p>Pad lat lon grid with additional rows and columns to use for
+interpolation routine</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>lat_lon</strong> (<em>ndarray</em>) – Array of lat/lon for input data.
+(spatial_1, spatial_2, 2)
+Last dimension has ordering (lat, lon)</p></li>
+<li><p><strong>shape</strong> (<em>tuple</em>) – (lons, lats) Shape of high res grid</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>lat_lon</strong> (<em>ndarray</em>) – Array of padded lat lons
+(spatial_1, spatial_2, 2)
+Last dimension has ordering (lat, lon)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.h5.OutputHandlerH5.write_data">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">write_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dsets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">global_attrs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.write_data" title="Link to this definition">#</a></dt>
+<dd><p>Write list of datasets to out_file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>out_file</strong> (<em>str</em>) – Pre-existing H5 file output path</p></li>
+<li><p><strong>dsets</strong> (<em>list</em>) – list of datasets to write to out_file</p></li>
+<li><p><strong>time_index</strong> (<em>pd.DatetimeIndex()</em>) – Pandas datetime index to use for file time_index.</p></li>
+<li><p><strong>data_list</strong> (<em>list</em>) – List of np.ndarray objects to write to out_file</p></li>
+<li><p><strong>meta</strong> (<em>pd.DataFrame</em>) – Full meta dataframe for the final output data.</p></li>
+<li><p><strong>global_attrs</strong> (<em>dict</em>) – Namespace of file-global attributes for the final output data.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.h5.OutputHandlerH5.write_output">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">write_output</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">low_res_lat_lon</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">low_res_times</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meta_data</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">invert_uv</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gids</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.write_output" title="Link to this definition">#</a></dt>
+<dd><p>Write forward pass output to file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>ndarray</em>) – (spatial_1, spatial_2, temporal, features)
+High resolution forward pass output</p></li>
+<li><p><strong>features</strong> (<em>list</em>) – List of feature names corresponding to the last dimension of data</p></li>
+<li><p><strong>low_res_lat_lon</strong> (<em>ndarray</em>) – Array of lat/lon for input data. (spatial_1, spatial_2, 2)
+Last dimension has ordering (lat, lon)</p></li>
+<li><p><strong>low_res_times</strong> (<em>pd.Datetimeindex</em>) – List of times for low res source data</p></li>
+<li><p><strong>out_file</strong> (<em>string</em>) – Output file path</p></li>
+<li><p><strong>meta_data</strong> (<em>dict | None</em>) – Dictionary of meta data from model</p></li>
+<li><p><strong>invert_uv</strong> (<em>bool | None</em>) – Whether to convert u and v wind components to windspeed and
+direction</p></li>
+<li><p><strong>max_workers</strong> (<em>int | None</em>) – Max workers to use for inverse uv transform. If None the
+max_workers will be estimated based on memory limits.</p></li>
+<li><p><strong>gids</strong> (<em>list</em>) – List of coordinate indices used to label each lat lon pair and to
+help with spatial chunk data collection</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.enforce_limits"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5.enforce_limits()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_dset_attrs"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5.get_dset_attrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_lat_lon"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5.get_lat_lon()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_renamed_features"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5.get_renamed_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_time_dim_name"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5.get_time_dim_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_times"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5.get_times()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.invert_uv_features"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5.invert_uv_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.invert_uv_single_pair"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5.invert_uv_single_pair()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.is_increasing_lons"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5.is_increasing_lons()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.pad_lat_lon"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5.pad_lat_lon()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.write_data"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5.write_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.h5.OutputHandlerH5.write_output"><code class="docutils literal notranslate"><span class="pre">OutputHandlerH5.write_output()</span></code></a></li>
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+    <h1>sup3r.postprocessing.writers.h5</h1>
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+  <section id="module-sup3r.postprocessing.writers.h5">
+<span id="sup3r-postprocessing-writers-h5"></span><h1>sup3r.postprocessing.writers.h5<a class="headerlink" href="#module-sup3r.postprocessing.writers.h5" title="Link to this heading">#</a></h1>
+<p>Output handling</p>
+<p>TODO: Remove redundant code re. Cachers</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.postprocessing.writers.h5.OutputHandlerH5.html#sup3r.postprocessing.writers.h5.OutputHandlerH5" title="sup3r.postprocessing.writers.h5.OutputHandlerH5"><code class="xref py py-obj docutils literal notranslate"><span class="pre">OutputHandlerH5</span></code></a>()</p></td>
+<td><p>Class to handle writing output to H5 file</p></td>
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+  <section id="module-sup3r.postprocessing.writers">
+<span id="sup3r-postprocessing-writers"></span><h1>sup3r.postprocessing.writers<a class="headerlink" href="#module-sup3r.postprocessing.writers" title="Link to this heading">#</a></h1>
+<p>Module with objects which write forward pass output to files.</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.postprocessing.writers.base.html#module-sup3r.postprocessing.writers.base" title="sup3r.postprocessing.writers.base"><code class="xref py py-obj docutils literal notranslate"><span class="pre">base</span></code></a></p></td>
+<td><p>Output handling</p></td>
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+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.postprocessing.writers.h5.html#module-sup3r.postprocessing.writers.h5" title="sup3r.postprocessing.writers.h5"><code class="xref py py-obj docutils literal notranslate"><span class="pre">h5</span></code></a></p></td>
+<td><p>Output handling</p></td>
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+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.postprocessing.writers.nc.html#module-sup3r.postprocessing.writers.nc" title="sup3r.postprocessing.writers.nc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nc</span></code></a></p></td>
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+    <h1>sup3r.postprocessing.writers.nc.OutputHandlerNC</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.enforce_limits"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC.enforce_limits()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_dset_attrs"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC.get_dset_attrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_lat_lon"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC.get_lat_lon()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_renamed_features"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC.get_renamed_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_time_dim_name"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC.get_time_dim_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_times"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC.get_times()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.invert_uv_features"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC.invert_uv_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.invert_uv_single_pair"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC.invert_uv_single_pair()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.is_increasing_lons"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC.is_increasing_lons()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.pad_lat_lon"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC.pad_lat_lon()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.write_data"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC.write_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.write_output"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC.write_output()</span></code></a></li>
+</ul>
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+</ul>
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+                  
+  <section id="sup3r-postprocessing-writers-nc-outputhandlernc">
+<h1>sup3r.postprocessing.writers.nc.OutputHandlerNC<a class="headerlink" href="#sup3r-postprocessing-writers-nc-outputhandlernc" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.nc.OutputHandlerNC">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">OutputHandlerNC</span></span><a class="reference internal" href="../_modules/sup3r/postprocessing/writers/nc.html#OutputHandlerNC"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler" title="sup3r.postprocessing.writers.base.OutputHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">OutputHandler</span></code></a></p>
+<p>Forward pass OutputHandler for NETCDF files</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.enforce_limits" title="sup3r.postprocessing.writers.nc.OutputHandlerNC.enforce_limits"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enforce_limits</span></code></a>(features, data)</p></td>
+<td><p>Enforce physical limits for feature data</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_dset_attrs" title="sup3r.postprocessing.writers.nc.OutputHandlerNC.get_dset_attrs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_dset_attrs</span></code></a>(feature)</p></td>
+<td><p>Get attrributes for output feature</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_lat_lon" title="sup3r.postprocessing.writers.nc.OutputHandlerNC.get_lat_lon"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_lat_lon</span></code></a>(low_res_lat_lon, shape)</p></td>
+<td><p>Get lat lon arrays for high res output file</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_renamed_features" title="sup3r.postprocessing.writers.nc.OutputHandlerNC.get_renamed_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_renamed_features</span></code></a>(features)</p></td>
+<td><p>Rename features based on transformation from u/v to windspeed/winddirection</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_time_dim_name" title="sup3r.postprocessing.writers.nc.OutputHandlerNC.get_time_dim_name"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_time_dim_name</span></code></a>(filepath)</p></td>
+<td><p>Get the name of the time dimension in the given file</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_times" title="sup3r.postprocessing.writers.nc.OutputHandlerNC.get_times"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_times</span></code></a>(low_res_times, shape)</p></td>
+<td><p>Get array of times for high res output file</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.invert_uv_features" title="sup3r.postprocessing.writers.nc.OutputHandlerNC.invert_uv_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">invert_uv_features</span></code></a>(data, features, lat_lon)</p></td>
+<td><p>Invert U/V to windspeed and winddirection.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.invert_uv_single_pair" title="sup3r.postprocessing.writers.nc.OutputHandlerNC.invert_uv_single_pair"><code class="xref py py-obj docutils literal notranslate"><span class="pre">invert_uv_single_pair</span></code></a>(data, lat_lon, u_idx, ...)</p></td>
+<td><p>Perform inverse transform in place on a single u/v pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.is_increasing_lons" title="sup3r.postprocessing.writers.nc.OutputHandlerNC.is_increasing_lons"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_increasing_lons</span></code></a>(lat_lon)</p></td>
+<td><p>Check if longitudes are in increasing order.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.pad_lat_lon" title="sup3r.postprocessing.writers.nc.OutputHandlerNC.pad_lat_lon"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pad_lat_lon</span></code></a>(lat_lon)</p></td>
+<td><p>Pad lat lon grid with additional rows and columns to use for interpolation routine</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.write_data" title="sup3r.postprocessing.writers.nc.OutputHandlerNC.write_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_data</span></code></a>(out_file, dsets, time_index, ...)</p></td>
+<td><p>Write list of datasets to out_file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.write_output" title="sup3r.postprocessing.writers.nc.OutputHandlerNC.write_output"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_output</span></code></a>(data, features, ...[, ...])</p></td>
+<td><p>Write forward pass output to file</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.nc.OutputHandlerNC.enforce_limits">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">enforce_limits</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.enforce_limits" title="Link to this definition">#</a></dt>
+<dd><p>Enforce physical limits for feature data</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>features</strong> (<em>list</em>) – List of features with ordering corresponding to last channel of
+data array.</p></li>
+<li><p><strong>data</strong> (<em>ndarray</em>) – Array of feature data</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>data</strong> (<em>ndarray</em>) – Array of feature data with physical limits enforced</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.nc.OutputHandlerNC.get_dset_attrs">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_dset_attrs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_dset_attrs" title="Link to this definition">#</a></dt>
+<dd><p>Get attrributes for output feature</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>feature</strong> (<em>str</em>) – Name of feature to write</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>attrs</strong> (<em>dict</em>) – Dictionary of attributes for requested dset</p></li>
+<li><p><strong>dtype</strong> (<em>str</em>) – Data type for requested dset. Defaults to float32</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.nc.OutputHandlerNC.get_lat_lon">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_lat_lon</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res_lat_lon</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_lat_lon" title="Link to this definition">#</a></dt>
+<dd><p>Get lat lon arrays for high res output file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low_res_lat_lon</strong> (<em>ndarray</em>) – Array of lat/lon for input data. Longitudes must be arranged in
+a counter-clockwise direction (when looking down from above the
+north pole). e.g. [-50, -25, 25, 50] or [130, 180, -130, -80]. The
+latter passes through the 180 -&gt; -180 boundary and will be
+temporarily shifted to the 0-360 range before interpolation.
+(spatial_1, spatial_2, 2)
+Last dimension has ordering (lat, lon)</p></li>
+<li><p><strong>shape</strong> (<em>tuple</em>) – (lons, lats) Shape of high res grid</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>lat_lon</strong> (<em>ndarray</em>) – Array of lat lons for high res output file
+(spatial_1, spatial_2, 2)
+Last dimension has ordering (lat, lon)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.nc.OutputHandlerNC.get_renamed_features">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_renamed_features</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">features</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_renamed_features" title="Link to this definition">#</a></dt>
+<dd><p>Rename features based on transformation from u/v to
+windspeed/winddirection</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>features</strong> (<em>list</em>) – List of output features</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>list</em> – List of renamed features u/v -&gt; windspeed/winddirection for each
+height</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.nc.OutputHandlerNC.get_time_dim_name">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_time_dim_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_time_dim_name" title="Link to this definition">#</a></dt>
+<dd><p>Get the name of the time dimension in the given file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>filepath</strong> (<em>str</em>) – Path to the file</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>time_key</strong> (<em>str</em>) – Name of the time dimension in the given file</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.nc.OutputHandlerNC.get_times">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_times</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res_times</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_times" title="Link to this definition">#</a></dt>
+<dd><p>Get array of times for high res output file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low_res_times</strong> (<em>pd.Datetimeindex</em>) – List of times for low res input data. If there is only a single low
+res timestep, it is assumed the data is daily.</p></li>
+<li><p><strong>shape</strong> (<em>int</em>) – Number of time steps for high res time array</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>ndarray</em> – Array of times for high res output file.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.nc.OutputHandlerNC.invert_uv_features">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">invert_uv_features</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lat_lon</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.invert_uv_features" title="Link to this definition">#</a></dt>
+<dd><p>Invert U/V to windspeed and winddirection. Performed in place.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>ndarray</em>) – High res data from forward pass
+(spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>features</strong> (<em>list</em>) – List of output features. If this doesn’t contain any names matching
+u_*m, this method will do nothing.</p></li>
+<li><p><strong>lat_lon</strong> (<em>ndarray</em>) – High res lat/lon array
+(spatial_1, spatial_2, 2)</p></li>
+<li><p><strong>max_workers</strong> (<em>int | None</em>) – Max workers to use for inverse transform. If None the maximum
+possible will be used</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.nc.OutputHandlerNC.invert_uv_single_pair">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">invert_uv_single_pair</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lat_lon</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">u_idx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">v_idx</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.invert_uv_single_pair" title="Link to this definition">#</a></dt>
+<dd><p>Perform inverse transform in place on a single u/v pair.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>ndarray</em>) – High res data from forward pass
+(spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>lat_lon</strong> (<em>ndarray</em>) – High res lat/lon array
+(spatial_1, spatial_2, 2)</p></li>
+<li><p><strong>u_idx</strong> (<em>int</em>) – Index in data for U component to transform</p></li>
+<li><p><strong>v_idx</strong> (<em>int</em>) – Index in data for V component to transform</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.nc.OutputHandlerNC.is_increasing_lons">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">is_increasing_lons</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lat_lon</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.is_increasing_lons" title="Link to this definition">#</a></dt>
+<dd><p>Check if longitudes are in increasing order. Need to check this
+for interpolation routine. This is primarily to identify whether the
+lons go through the 180 -&gt; -180 boundary, which creates a
+discontinuity. For example, [130, 180, -130, -80]. If any lons go from
+positive to negative the lons need to be shifted to the range 0-360.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>lat_lon</strong> (<em>ndarray</em>) – Array of lat/lon for input data.
+(spatial_1, spatial_2, 2)
+Last dimension has ordering (lat, lon)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>bool</em> – Whether all lons are in increasing order or not</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.nc.OutputHandlerNC.pad_lat_lon">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">pad_lat_lon</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lat_lon</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.pad_lat_lon" title="Link to this definition">#</a></dt>
+<dd><p>Pad lat lon grid with additional rows and columns to use for
+interpolation routine</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>lat_lon</strong> (<em>ndarray</em>) – Array of lat/lon for input data.
+(spatial_1, spatial_2, 2)
+Last dimension has ordering (lat, lon)</p></li>
+<li><p><strong>shape</strong> (<em>tuple</em>) – (lons, lats) Shape of high res grid</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>lat_lon</strong> (<em>ndarray</em>) – Array of padded lat lons
+(spatial_1, spatial_2, 2)
+Last dimension has ordering (lat, lon)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.nc.OutputHandlerNC.write_data">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">write_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dsets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">global_attrs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.write_data" title="Link to this definition">#</a></dt>
+<dd><p>Write list of datasets to out_file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>out_file</strong> (<em>str</em>) – Pre-existing H5 file output path</p></li>
+<li><p><strong>dsets</strong> (<em>list</em>) – list of datasets to write to out_file</p></li>
+<li><p><strong>time_index</strong> (<em>pd.DatetimeIndex()</em>) – Pandas datetime index to use for file time_index.</p></li>
+<li><p><strong>data_list</strong> (<em>list</em>) – List of np.ndarray objects to write to out_file</p></li>
+<li><p><strong>meta</strong> (<em>pd.DataFrame</em>) – Full meta dataframe for the final output data.</p></li>
+<li><p><strong>global_attrs</strong> (<em>dict</em>) – Namespace of file-global attributes for the final output data.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.postprocessing.writers.nc.OutputHandlerNC.write_output">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">write_output</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">low_res_lat_lon</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">low_res_times</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meta_data</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">invert_uv</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gids</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.write_output" title="Link to this definition">#</a></dt>
+<dd><p>Write forward pass output to file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>ndarray</em>) – (spatial_1, spatial_2, temporal, features)
+High resolution forward pass output</p></li>
+<li><p><strong>features</strong> (<em>list</em>) – List of feature names corresponding to the last dimension of data</p></li>
+<li><p><strong>low_res_lat_lon</strong> (<em>ndarray</em>) – Array of lat/lon for input data. (spatial_1, spatial_2, 2)
+Last dimension has ordering (lat, lon)</p></li>
+<li><p><strong>low_res_times</strong> (<em>pd.Datetimeindex</em>) – List of times for low res source data</p></li>
+<li><p><strong>out_file</strong> (<em>string</em>) – Output file path</p></li>
+<li><p><strong>meta_data</strong> (<em>dict | None</em>) – Dictionary of meta data from model</p></li>
+<li><p><strong>invert_uv</strong> (<em>bool | None</em>) – Whether to convert u and v wind components to windspeed and
+direction</p></li>
+<li><p><strong>max_workers</strong> (<em>int | None</em>) – Max workers to use for inverse uv transform. If None the
+max_workers will be estimated based on memory limits.</p></li>
+<li><p><strong>gids</strong> (<em>list</em>) – List of coordinate indices used to label each lat lon pair and to
+help with spatial chunk data collection</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.enforce_limits"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC.enforce_limits()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_dset_attrs"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC.get_dset_attrs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_lat_lon"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC.get_lat_lon()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_renamed_features"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC.get_renamed_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_time_dim_name"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC.get_time_dim_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_times"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC.get_times()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.invert_uv_features"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC.invert_uv_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.invert_uv_single_pair"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC.invert_uv_single_pair()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.is_increasing_lons"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC.is_increasing_lons()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.pad_lat_lon"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC.pad_lat_lon()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.write_data"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC.write_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.postprocessing.writers.nc.OutputHandlerNC.write_output"><code class="docutils literal notranslate"><span class="pre">OutputHandlerNC.write_output()</span></code></a></li>
+</ul>
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+</ul>
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+    <h1>sup3r.preprocessing.accessor.Sup3rX</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX"><code class="docutils literal notranslate"><span class="pre">Sup3rX</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.values"><code class="docutils literal notranslate"><span class="pre">Sup3rX.values</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.to_dataarray"><code class="docutils literal notranslate"><span class="pre">Sup3rX.to_dataarray()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.as_array"><code class="docutils literal notranslate"><span class="pre">Sup3rX.as_array()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.compute"><code class="docutils literal notranslate"><span class="pre">Sup3rX.compute()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.loaded"><code class="docutils literal notranslate"><span class="pre">Sup3rX.loaded</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.flattened"><code class="docutils literal notranslate"><span class="pre">Sup3rX.flattened</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.time_independent"><code class="docutils literal notranslate"><span class="pre">Sup3rX.time_independent</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.update_ds"><code class="docutils literal notranslate"><span class="pre">Sup3rX.update_ds()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.ordered"><code class="docutils literal notranslate"><span class="pre">Sup3rX.ordered()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.sample"><code class="docutils literal notranslate"><span class="pre">Sup3rX.sample()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.name"><code class="docutils literal notranslate"><span class="pre">Sup3rX.name</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.isel"><code class="docutils literal notranslate"><span class="pre">Sup3rX.isel()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.coarsen"><code class="docutils literal notranslate"><span class="pre">Sup3rX.coarsen()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.mean"><code class="docutils literal notranslate"><span class="pre">Sup3rX.mean()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.std"><code class="docutils literal notranslate"><span class="pre">Sup3rX.std()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.normalize"><code class="docutils literal notranslate"><span class="pre">Sup3rX.normalize()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.interpolate_na"><code class="docutils literal notranslate"><span class="pre">Sup3rX.interpolate_na()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.add_dims_to_data_vars"><code class="docutils literal notranslate"><span class="pre">Sup3rX.add_dims_to_data_vars()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.assign"><code class="docutils literal notranslate"><span class="pre">Sup3rX.assign()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.features"><code class="docutils literal notranslate"><span class="pre">Sup3rX.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.dtype"><code class="docutils literal notranslate"><span class="pre">Sup3rX.dtype</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.shape"><code class="docutils literal notranslate"><span class="pre">Sup3rX.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.size"><code class="docutils literal notranslate"><span class="pre">Sup3rX.size</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.time_index"><code class="docutils literal notranslate"><span class="pre">Sup3rX.time_index</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.time_step"><code class="docutils literal notranslate"><span class="pre">Sup3rX.time_step</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.lat_lon"><code class="docutils literal notranslate"><span class="pre">Sup3rX.lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.target"><code class="docutils literal notranslate"><span class="pre">Sup3rX.target</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.grid_shape"><code class="docutils literal notranslate"><span class="pre">Sup3rX.grid_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.meta"><code class="docutils literal notranslate"><span class="pre">Sup3rX.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.unflatten"><code class="docutils literal notranslate"><span class="pre">Sup3rX.unflatten()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.flatten"><code class="docutils literal notranslate"><span class="pre">Sup3rX.flatten()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.qa"><code class="docutils literal notranslate"><span class="pre">Sup3rX.qa()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.__mul__"><code class="docutils literal notranslate"><span class="pre">Sup3rX.__mul__()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-accessor-sup3rx">
+<h1>sup3r.preprocessing.accessor.Sup3rX<a class="headerlink" href="#sup3r-preprocessing-accessor-sup3rx" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Sup3rX</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ds</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Dataset</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Self</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/accessor.html#Sup3rX"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<p>Accessor for xarray - the suggested way to extend xarray functionality.</p>
+<p class="rubric">References</p>
+<p><a class="reference external" href="https://docs.xarray.dev/en/latest/internals/extending-xarray.html">https://docs.xarray.dev/en/latest/internals/extending-xarray.html</a></p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>(1) This is an <code class="docutils literal notranslate"><span class="pre">xr.Dataset</span></code> style object with all <code class="docutils literal notranslate"><span class="pre">xr.Dataset</span></code>
+methods, plus more. The way to access these methods is either through
+appending <code class="docutils literal notranslate"><span class="pre">.sx.&lt;method&gt;</span></code> on an <code class="docutils literal notranslate"><span class="pre">xr.Dataset</span></code> or by wrapping an
+<code class="docutils literal notranslate"><span class="pre">xr.Dataset</span></code> with <code class="docutils literal notranslate"><span class="pre">Sup3rX</span></code>, e.g. <code class="docutils literal notranslate"><span class="pre">Sup3rX(xr.Dataset(...)).&lt;method&gt;</span></code>.
+Throughout the <code class="docutils literal notranslate"><span class="pre">sup3r</span></code> codebase we prefer to use the latter. The
+most important part of this interface is parsing <code class="docutils literal notranslate"><span class="pre">__getitem__</span></code> calls of
+the form <code class="docutils literal notranslate"><span class="pre">ds.sx[keys]</span></code>.</p>
+<blockquote>
+<div><ol class="lowerroman simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">keys</span></code> can be a single feature name, list of features, or numpy
+style indexing for dimensions. e.g. <code class="docutils literal notranslate"><span class="pre">ds.sx['u'][slice(0,</span> <span class="pre">10),</span>
+<span class="pre">...]</span></code> or <code class="docutils literal notranslate"><span class="pre">ds.sx[['u',</span> <span class="pre">'v']][...,</span> <span class="pre">slice(0,</span> <span class="pre">10)]</span></code>.</p></li>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">ds[keys]</span></code> returns an <code class="docutils literal notranslate"><span class="pre">xr.Dataset</span></code> object then
+<code class="docutils literal notranslate"><span class="pre">ds.sx[keys]</span></code> will return a <code class="docutils literal notranslate"><span class="pre">Sup3rX</span></code> object. e.g.</p></li>
+</ol>
+<blockquote>
+<div><p><code class="docutils literal notranslate"><span class="pre">ds.sx[['u','v']]</span></code>) will return a <a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX" title="sup3r.preprocessing.accessor.Sup3rX"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rX</span></code></a> instance but
+<code class="docutils literal notranslate"><span class="pre">ds.sx['u']</span></code> will return an <code class="docutils literal notranslate"><span class="pre">xr.DataArray</span></code></p>
+</div></blockquote>
+<ol class="lowerroman simple" start="2">
+<li><p>Providing only numpy style indexing without features will return</p></li>
+</ol>
+<blockquote>
+<div><p>an array with all contained features in the last dimension with a
+spatiotemporal shape corresponding to the indices. e.g.
+<code class="docutils literal notranslate"><span class="pre">ds[slice(0,</span> <span class="pre">10),</span> <span class="pre">0,</span> <span class="pre">1]</span></code> will return an array of shape <code class="docutils literal notranslate"><span class="pre">(10,</span> <span class="pre">1,</span>
+<span class="pre">1,</span> <span class="pre">n_features)</span></code>. This array will be a dask.array or numpy.array,
+depending on whether data is still on disk or loaded into memory.</p>
+</div></blockquote>
+</div></blockquote>
+<p>(2) The <code class="docutils literal notranslate"><span class="pre">__getitem__</span></code> and <code class="docutils literal notranslate"><span class="pre">__getattr__</span></code> methods will cast back to
+<code class="docutils literal notranslate"><span class="pre">type(self)</span></code> if <code class="docutils literal notranslate"><span class="pre">self._ds.__getitem__</span></code> or <code class="docutils literal notranslate"><span class="pre">self._ds.__getattr__</span></code>
+returns an instance of <code class="docutils literal notranslate"><span class="pre">type(self._ds)</span></code> (e.g. an <code class="docutils literal notranslate"><span class="pre">xr.Dataset</span></code>). This
+means we do not have to constantly append <code class="docutils literal notranslate"><span class="pre">.sx</span></code> for successive calls to
+accessor methods.</p>
+</div>
+<p class="rubric">Examples</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="c1"># To use as an accessor:</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">ds</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">(</span><span class="o">...</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">feature_data</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">sx</span><span class="p">[</span><span class="n">features</span><span class="p">]</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">ti</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">sx</span><span class="o">.</span><span class="n">time_index</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">lat_lon_array</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">sx</span><span class="o">.</span><span class="n">lat_lon</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="c1"># Use as wrapper:</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">ds</span> <span class="o">=</span> <span class="n">Sup3rX</span><span class="p">(</span><span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">(</span><span class="n">data_vars</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;windspeed&#39;</span><span class="p">:</span> <span class="o">...</span><span class="p">},</span> <span class="o">...</span><span class="p">))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">np_array</span> <span class="o">=</span> <span class="n">ds</span><span class="p">[</span><span class="s1">&#39;windspeed&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">dask_array</span> <span class="o">=</span> <span class="n">ds</span><span class="p">[</span><span class="s1">&#39;windspeed&#39;</span><span class="p">][</span><span class="o">...</span><span class="p">]</span> <span class="o">==</span> <span class="n">ds</span><span class="p">[</span><span class="s1">&#39;windspeed&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">as_array</span><span class="p">()</span>
+</pre></div>
+</div>
+<p>Initialize accessor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>ds</strong> (<em>xr.Dataset | xr.DataArray</em>) – xarray Dataset instance to access with the following methods</p>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.add_dims_to_data_vars" title="sup3r.preprocessing.accessor.Sup3rX.add_dims_to_data_vars"><code class="xref py py-obj docutils literal notranslate"><span class="pre">add_dims_to_data_vars</span></code></a>(vals)</p></td>
+<td><p>Add dimensions to vals entries if needed.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.as_array" title="sup3r.preprocessing.accessor.Sup3rX.as_array"><code class="xref py py-obj docutils literal notranslate"><span class="pre">as_array</span></code></a>()</p></td>
+<td><p>Return <code class="docutils literal notranslate"><span class="pre">.data</span></code> attribute of an xarray.DataArray with our standard dimension order <code class="docutils literal notranslate"><span class="pre">(lats,</span> <span class="pre">lons,</span> <span class="pre">time,</span> <span class="pre">...,</span> <span class="pre">features)</span></code></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.assign" title="sup3r.preprocessing.accessor.Sup3rX.assign"><code class="xref py py-obj docutils literal notranslate"><span class="pre">assign</span></code></a>(vals)</p></td>
+<td><p>Override xarray assign and assign_coords methods to enable update without explicitly providing dimensions if variable already exists.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.coarsen" title="sup3r.preprocessing.accessor.Sup3rX.coarsen"><code class="xref py py-obj docutils literal notranslate"><span class="pre">coarsen</span></code></a>(*args, **kwargs)</p></td>
+<td><p>Override xr.Dataset.coarsen to cast back to Sup3rX object.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.compute" title="sup3r.preprocessing.accessor.Sup3rX.compute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute</span></code></a>(**kwargs)</p></td>
+<td><p>Load <cite>._ds</cite> into memory.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.flatten" title="sup3r.preprocessing.accessor.Sup3rX.flatten"><code class="xref py py-obj docutils literal notranslate"><span class="pre">flatten</span></code></a>()</p></td>
+<td><p>Flatten rasterized dataset so that there is only a single spatial dimension.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.interpolate_na" title="sup3r.preprocessing.accessor.Sup3rX.interpolate_na"><code class="xref py py-obj docutils literal notranslate"><span class="pre">interpolate_na</span></code></a>(**kwargs)</p></td>
+<td><p>Use <cite>xr.DataArray.interpolate_na</cite> to fill NaN values with a dask compatible method.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.isel" title="sup3r.preprocessing.accessor.Sup3rX.isel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isel</span></code></a>(*args, **kwargs)</p></td>
+<td><p>Override xr.Dataset.isel to cast back to Sup3rX object.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.mean" title="sup3r.preprocessing.accessor.Sup3rX.mean"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mean</span></code></a>(**kwargs)</p></td>
+<td><p>Get mean directly from dataset object.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.normalize" title="sup3r.preprocessing.accessor.Sup3rX.normalize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">normalize</span></code></a>(means, stds)</p></td>
+<td><p>Normalize dataset using given means and stds.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.ordered" title="sup3r.preprocessing.accessor.Sup3rX.ordered"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ordered</span></code></a>(data)</p></td>
+<td><p>Return data with dimensions in standard order <code class="docutils literal notranslate"><span class="pre">(lats,</span> <span class="pre">lons,</span> <span class="pre">time,</span> <span class="pre">...,</span> <span class="pre">features)</span></code></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.qa" title="sup3r.preprocessing.accessor.Sup3rX.qa"><code class="xref py py-obj docutils literal notranslate"><span class="pre">qa</span></code></a>()</p></td>
+<td><p>Check NaNs and stats for all features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.sample" title="sup3r.preprocessing.accessor.Sup3rX.sample"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample</span></code></a>(idx)</p></td>
+<td><p>Get sample from <code class="docutils literal notranslate"><span class="pre">self._ds</span></code>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.std" title="sup3r.preprocessing.accessor.Sup3rX.std"><code class="xref py py-obj docutils literal notranslate"><span class="pre">std</span></code></a>(**kwargs)</p></td>
+<td><p>Get std directly from dataset object.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.to_dataarray" title="sup3r.preprocessing.accessor.Sup3rX.to_dataarray"><code class="xref py py-obj docutils literal notranslate"><span class="pre">to_dataarray</span></code></a>()</p></td>
+<td><p>Return xr.DataArray for the contained xr.Dataset.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.unflatten" title="sup3r.preprocessing.accessor.Sup3rX.unflatten"><code class="xref py py-obj docutils literal notranslate"><span class="pre">unflatten</span></code></a>(grid_shape)</p></td>
+<td><p>Convert flattened dataset into rasterized dataset with the given grid shape.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.update_ds" title="sup3r.preprocessing.accessor.Sup3rX.update_ds"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_ds</span></code></a>(new_dset[, attrs])</p></td>
+<td><p>Update <cite>self._ds</cite> with coords and data_vars replaced with those provided.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.dtype" title="sup3r.preprocessing.accessor.Sup3rX.dtype"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dtype</span></code></a></p></td>
+<td><p>Get dtype of underlying array.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.features" title="sup3r.preprocessing.accessor.Sup3rX.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Features in this container.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.flattened" title="sup3r.preprocessing.accessor.Sup3rX.flattened"><code class="xref py py-obj docutils literal notranslate"><span class="pre">flattened</span></code></a></p></td>
+<td><p>Check if the contained data is flattened 2D data or 3D rasterized data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.grid_shape" title="sup3r.preprocessing.accessor.Sup3rX.grid_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">grid_shape</span></code></a></p></td>
+<td><p>Return the shape of the spatial dimensions.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.lat_lon" title="sup3r.preprocessing.accessor.Sup3rX.lat_lon"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lat_lon</span></code></a></p></td>
+<td><p>Base lat lon for contained data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.loaded" title="sup3r.preprocessing.accessor.Sup3rX.loaded"><code class="xref py py-obj docutils literal notranslate"><span class="pre">loaded</span></code></a></p></td>
+<td><p>Check if data has been loaded as numpy arrays.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.meta" title="sup3r.preprocessing.accessor.Sup3rX.meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meta</span></code></a></p></td>
+<td><p>Return dataframe of flattened lat / lon values.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.name" title="sup3r.preprocessing.accessor.Sup3rX.name"><code class="xref py py-obj docutils literal notranslate"><span class="pre">name</span></code></a></p></td>
+<td><p>Name of dataset.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.shape" title="sup3r.preprocessing.accessor.Sup3rX.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying xr.DataArray, using our standard dimension order.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.size" title="sup3r.preprocessing.accessor.Sup3rX.size"><code class="xref py py-obj docutils literal notranslate"><span class="pre">size</span></code></a></p></td>
+<td><p>Get size of data contained to use in weight calculations.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.target" title="sup3r.preprocessing.accessor.Sup3rX.target"><code class="xref py py-obj docutils literal notranslate"><span class="pre">target</span></code></a></p></td>
+<td><p>Return the value of the lower left hand coordinate.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.time_independent" title="sup3r.preprocessing.accessor.Sup3rX.time_independent"><code class="xref py py-obj docutils literal notranslate"><span class="pre">time_independent</span></code></a></p></td>
+<td><p>Check if the contained data is time independent.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.time_index" title="sup3r.preprocessing.accessor.Sup3rX.time_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">time_index</span></code></a></p></td>
+<td><p>Base time index for contained data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.time_step" title="sup3r.preprocessing.accessor.Sup3rX.time_step"><code class="xref py py-obj docutils literal notranslate"><span class="pre">time_step</span></code></a></p></td>
+<td><p>Get time step in seconds.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.accessor.Sup3rX.values" title="sup3r.preprocessing.accessor.Sup3rX.values"><code class="xref py py-obj docutils literal notranslate"><span class="pre">values</span></code></a></p></td>
+<td><p>Return numpy values in standard dimension order <code class="docutils literal notranslate"><span class="pre">(lats,</span> <span class="pre">lons,</span> <span class="pre">time,</span> <span class="pre">...,</span> <span class="pre">features)</span></code></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.values">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">values</span></span><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.values" title="Link to this definition">#</a></dt>
+<dd><p>Return numpy values in standard dimension order <code class="docutils literal notranslate"><span class="pre">(lats,</span> <span class="pre">lons,</span> <span class="pre">time,</span>
+<span class="pre">...,</span> <span class="pre">features)</span></code></p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.to_dataarray">
+<span class="sig-name descname"><span class="pre">to_dataarray</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span></span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/accessor.html#Sup3rX.to_dataarray"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.to_dataarray" title="Link to this definition">#</a></dt>
+<dd><p>Return xr.DataArray for the contained xr.Dataset.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.as_array">
+<span class="sig-name descname"><span class="pre">as_array</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/accessor.html#Sup3rX.as_array"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.as_array" title="Link to this definition">#</a></dt>
+<dd><p>Return <code class="docutils literal notranslate"><span class="pre">.data</span></code> attribute of an xarray.DataArray with our standard
+dimension order <code class="docutils literal notranslate"><span class="pre">(lats,</span> <span class="pre">lons,</span> <span class="pre">time,</span> <span class="pre">...,</span> <span class="pre">features)</span></code></p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.compute">
+<span class="sig-name descname"><span class="pre">compute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/accessor.html#Sup3rX.compute"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.compute" title="Link to this definition">#</a></dt>
+<dd><p>Load <cite>._ds</cite> into memory. This updates the internal <cite>xr.Dataset</cite> if
+it has not been loaded already.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.loaded">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">loaded</span></span><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.loaded" title="Link to this definition">#</a></dt>
+<dd><p>Check if data has been loaded as numpy arrays.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.flattened">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">flattened</span></span><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.flattened" title="Link to this definition">#</a></dt>
+<dd><p>Check if the contained data is flattened 2D data or 3D rasterized
+data.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.time_independent">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">time_independent</span></span><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.time_independent" title="Link to this definition">#</a></dt>
+<dd><p>Check if the contained data is time independent.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.update_ds">
+<span class="sig-name descname"><span class="pre">update_ds</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">new_dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attrs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/accessor.html#Sup3rX.update_ds"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.update_ds" title="Link to this definition">#</a></dt>
+<dd><p>Update <cite>self._ds</cite> with coords and data_vars replaced with those
+provided. These are both provided as dictionaries {name: dask.array}.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>new_dset</strong> (<em>Dict[str, dask.array]</em>) – Can contain any existing or new variable / coordinate as long as
+they all have a consistent shape.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>_ds</strong> (<em>xr.Dataset</em>) – Updated dataset with provided coordinates and data_vars with
+variables in our standard dimension order.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.ordered">
+<span class="sig-name descname"><span class="pre">ordered</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/accessor.html#Sup3rX.ordered"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.ordered" title="Link to this definition">#</a></dt>
+<dd><p>Return data with dimensions in standard order <code class="docutils literal notranslate"><span class="pre">(lats,</span> <span class="pre">lons,</span> <span class="pre">time,</span>
+<span class="pre">...,</span> <span class="pre">features)</span></code></p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.sample">
+<span class="sig-name descname"><span class="pre">sample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">idx</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/accessor.html#Sup3rX.sample"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.sample" title="Link to this definition">#</a></dt>
+<dd><p>Get sample from <code class="docutils literal notranslate"><span class="pre">self._ds</span></code>. The idx should be a tuple of slices
+for the dimensions <code class="docutils literal notranslate"><span class="pre">(south_north,</span> <span class="pre">west_east,</span> <span class="pre">time)</span></code> and a list of
+feature names. e.g.
+<code class="docutils literal notranslate"><span class="pre">(slice(0,</span> <span class="pre">3),</span> <span class="pre">slice(1,</span> <span class="pre">10),</span> <span class="pre">slice(None),</span> <span class="pre">['u_10m',</span> <span class="pre">'v_10m'])</span></code></p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.name">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">name</span></span><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.name" title="Link to this definition">#</a></dt>
+<dd><p>Name of dataset. Used to label datasets when grouped in
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Data</span></code> objects. e.g. for low / high res pairs or daily / hourly
+data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.isel">
+<span class="sig-name descname"><span class="pre">isel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/accessor.html#Sup3rX.isel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.isel" title="Link to this definition">#</a></dt>
+<dd><p>Override xr.Dataset.isel to cast back to Sup3rX object.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.coarsen">
+<span class="sig-name descname"><span class="pre">coarsen</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/accessor.html#Sup3rX.coarsen"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.coarsen" title="Link to this definition">#</a></dt>
+<dd><p>Override xr.Dataset.coarsen to cast back to Sup3rX object.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.mean">
+<span class="sig-name descname"><span class="pre">mean</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/accessor.html#Sup3rX.mean"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.mean" title="Link to this definition">#</a></dt>
+<dd><p>Get mean directly from dataset object.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.std">
+<span class="sig-name descname"><span class="pre">std</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/accessor.html#Sup3rX.std"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.std" title="Link to this definition">#</a></dt>
+<dd><p>Get std directly from dataset object.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.normalize">
+<span class="sig-name descname"><span class="pre">normalize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">means</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stds</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/accessor.html#Sup3rX.normalize"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.normalize" title="Link to this definition">#</a></dt>
+<dd><p>Normalize dataset using given means and stds. These are provided as
+dictionaries.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.interpolate_na">
+<span class="sig-name descname"><span class="pre">interpolate_na</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/accessor.html#Sup3rX.interpolate_na"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.interpolate_na" title="Link to this definition">#</a></dt>
+<dd><p>Use <cite>xr.DataArray.interpolate_na</cite> to fill NaN values with a dask
+compatible method.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.add_dims_to_data_vars">
+<span class="sig-name descname"><span class="pre">add_dims_to_data_vars</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">vals</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/accessor.html#Sup3rX.add_dims_to_data_vars"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.add_dims_to_data_vars" title="Link to this definition">#</a></dt>
+<dd><p>Add dimensions to vals entries if needed. This is used to set values
+of <cite>self._ds</cite> which can require dimensions to be explicitly specified
+for the data being set. e.g. self._ds[‘u_100m’] = ((‘south_north’,
+‘west_east’, ‘time’), data). We make guesses on the correct dims if
+they are missing and give a warning. We add attributes if available in
+vals, as well</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>vals</strong> (<em>Dict[Str, Union]</em>) – Dictionary of feature names and arrays to use for setting feature
+data. When arrays are &gt;2 dimensions xarray needs explicit dimension
+info, so we need to add these if not provided.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.assign">
+<span class="sig-name descname"><span class="pre">assign</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">vals</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Dict" title="(in Python v3.13)"><span class="pre">Dict</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><span class="pre">tuple</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/accessor.html#Sup3rX.assign"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.assign" title="Link to this definition">#</a></dt>
+<dd><p>Override xarray assign and assign_coords methods to enable update
+without explicitly providing dimensions if variable already exists.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>vals</strong> (<em>dict</em>) – Dictionary of variable names and either arrays or tuples of (dims,
+array). If dims are not provided this will try to use stored dims
+of the variable, if it exists already.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.features" title="Link to this definition">#</a></dt>
+<dd><p>Features in this container.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.dtype">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">dtype</span></span><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.dtype" title="Link to this definition">#</a></dt>
+<dd><p>Get dtype of underlying array.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying xr.DataArray, using our standard dimension
+order.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.size">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">size</span></span><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.size" title="Link to this definition">#</a></dt>
+<dd><p>Get size of data contained to use in weight calculations.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.time_index">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">time_index</span></span><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.time_index" title="Link to this definition">#</a></dt>
+<dd><p>Base time index for contained data.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.time_step">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">time_step</span></span><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.time_step" title="Link to this definition">#</a></dt>
+<dd><p>Get time step in seconds.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.lat_lon">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lat_lon</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span></em><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.lat_lon" title="Link to this definition">#</a></dt>
+<dd><p>Base lat lon for contained data.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.target">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">target</span></span><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.target" title="Link to this definition">#</a></dt>
+<dd><p>Return the value of the lower left hand coordinate.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.grid_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">grid_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.grid_shape" title="Link to this definition">#</a></dt>
+<dd><p>Return the shape of the spatial dimensions.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.meta">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">meta</span></span><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.meta" title="Link to this definition">#</a></dt>
+<dd><p>Return dataframe of flattened lat / lon values. Can also be set to
+include additional data like elevation, country, state, etc</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.unflatten">
+<span class="sig-name descname"><span class="pre">unflatten</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">grid_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/accessor.html#Sup3rX.unflatten"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.unflatten" title="Link to this definition">#</a></dt>
+<dd><p>Convert flattened dataset into rasterized dataset with the given
+grid shape.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.flatten">
+<span class="sig-name descname"><span class="pre">flatten</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/accessor.html#Sup3rX.flatten"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.flatten" title="Link to this definition">#</a></dt>
+<dd><p>Flatten rasterized dataset so that there is only a single spatial
+dimension.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.qa">
+<span class="sig-name descname"><span class="pre">qa</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/accessor.html#Sup3rX.qa"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.qa" title="Link to this definition">#</a></dt>
+<dd><p>Check NaNs and stats for all features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.accessor.Sup3rX.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/accessor.html#Sup3rX.__mul__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.accessor.Sup3rX.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Multiply <code class="docutils literal notranslate"><span class="pre">Sup3rX</span></code> object by other. Used to compute weighted means
+and stdevs.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
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+    <i class="fa-solid fa-list"></i> Contents
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+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX"><code class="docutils literal notranslate"><span class="pre">Sup3rX</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.values"><code class="docutils literal notranslate"><span class="pre">Sup3rX.values</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.to_dataarray"><code class="docutils literal notranslate"><span class="pre">Sup3rX.to_dataarray()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.as_array"><code class="docutils literal notranslate"><span class="pre">Sup3rX.as_array()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.compute"><code class="docutils literal notranslate"><span class="pre">Sup3rX.compute()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.loaded"><code class="docutils literal notranslate"><span class="pre">Sup3rX.loaded</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.flattened"><code class="docutils literal notranslate"><span class="pre">Sup3rX.flattened</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.time_independent"><code class="docutils literal notranslate"><span class="pre">Sup3rX.time_independent</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.update_ds"><code class="docutils literal notranslate"><span class="pre">Sup3rX.update_ds()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.ordered"><code class="docutils literal notranslate"><span class="pre">Sup3rX.ordered()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.sample"><code class="docutils literal notranslate"><span class="pre">Sup3rX.sample()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.name"><code class="docutils literal notranslate"><span class="pre">Sup3rX.name</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.isel"><code class="docutils literal notranslate"><span class="pre">Sup3rX.isel()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.coarsen"><code class="docutils literal notranslate"><span class="pre">Sup3rX.coarsen()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.mean"><code class="docutils literal notranslate"><span class="pre">Sup3rX.mean()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.std"><code class="docutils literal notranslate"><span class="pre">Sup3rX.std()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.normalize"><code class="docutils literal notranslate"><span class="pre">Sup3rX.normalize()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.interpolate_na"><code class="docutils literal notranslate"><span class="pre">Sup3rX.interpolate_na()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.add_dims_to_data_vars"><code class="docutils literal notranslate"><span class="pre">Sup3rX.add_dims_to_data_vars()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.assign"><code class="docutils literal notranslate"><span class="pre">Sup3rX.assign()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.features"><code class="docutils literal notranslate"><span class="pre">Sup3rX.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.dtype"><code class="docutils literal notranslate"><span class="pre">Sup3rX.dtype</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.shape"><code class="docutils literal notranslate"><span class="pre">Sup3rX.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.size"><code class="docutils literal notranslate"><span class="pre">Sup3rX.size</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.time_index"><code class="docutils literal notranslate"><span class="pre">Sup3rX.time_index</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.time_step"><code class="docutils literal notranslate"><span class="pre">Sup3rX.time_step</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.lat_lon"><code class="docutils literal notranslate"><span class="pre">Sup3rX.lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.target"><code class="docutils literal notranslate"><span class="pre">Sup3rX.target</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.grid_shape"><code class="docutils literal notranslate"><span class="pre">Sup3rX.grid_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.meta"><code class="docutils literal notranslate"><span class="pre">Sup3rX.meta</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.unflatten"><code class="docutils literal notranslate"><span class="pre">Sup3rX.unflatten()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.flatten"><code class="docutils literal notranslate"><span class="pre">Sup3rX.flatten()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.qa"><code class="docutils literal notranslate"><span class="pre">Sup3rX.qa()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.accessor.Sup3rX.__mul__"><code class="docutils literal notranslate"><span class="pre">Sup3rX.__mul__()</span></code></a></li>
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+  <section id="module-sup3r.preprocessing.accessor">
+<span id="sup3r-preprocessing-accessor"></span><h1>sup3r.preprocessing.accessor<a class="headerlink" href="#module-sup3r.preprocessing.accessor" title="Link to this heading">#</a></h1>
+<p>Accessor for xarray. This defines the basic data object contained by all
+<code class="docutils literal notranslate"><span class="pre">Container</span></code> objects.</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
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+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX" title="sup3r.preprocessing.accessor.Sup3rX"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Sup3rX</span></code></a>(ds)</p></td>
+<td><p>Accessor for xarray - the suggested way to extend xarray functionality.</p></td>
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+    <h1>sup3r.preprocessing.base.Container</h1>
+    <!-- Table of contents -->
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+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Container"><code class="docutils literal notranslate"><span class="pre">Container</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Container.data"><code class="docutils literal notranslate"><span class="pre">Container.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Container.wrap"><code class="docutils literal notranslate"><span class="pre">Container.wrap()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Container.post_init_log"><code class="docutils literal notranslate"><span class="pre">Container.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Container.shape"><code class="docutils literal notranslate"><span class="pre">Container.shape</span></code></a></li>
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+  <section id="sup3r-preprocessing-base-container">
+<h1>sup3r.preprocessing.base.Container<a class="headerlink" href="#sup3r-preprocessing-base-container" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.base.Container">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Container</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX" title="sup3r.preprocessing.accessor.Sup3rX"><span class="pre">Sup3rX</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><span class="pre">Sup3rDataset</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX" title="sup3r.preprocessing.accessor.Sup3rX"><span class="pre">Sup3rX</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><span class="pre">Sup3rDataset</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/base.html#Container"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.base.Container" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<p>Basic fundamental object used to build preprocessing objects. Contains
+an xarray-like Dataset (<a class="reference internal" href="sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX" title="sup3r.preprocessing.accessor.Sup3rX"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rX</span></code></a>), wrapped tuple of
+<code class="docutils literal notranslate"><span class="pre">Sup3rX</span></code> objects (<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a>), or a tuple of such objects.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>data</strong> (<em>Union[Sup3rX, Sup3rDataset, Tuple[Sup3rX, …],</em>) –         Tuple[Sup3rDataset, …]
+Can be an <code class="docutils literal notranslate"><span class="pre">xr.Dataset</span></code>, a <a class="reference internal" href="sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX" title="sup3r.preprocessing.accessor.Sup3rX"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rX</span></code></a> object, a
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, or a tuple of such objects.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p><code class="docutils literal notranslate"><span class="pre">.data</span></code> will return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of
+such. This is a tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple
+or 1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is
+a 2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</div>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.base.Container.post_init_log" title="sup3r.preprocessing.base.Container.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.base.Container.wrap" title="sup3r.preprocessing.base.Container.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.base.Container.data" title="sup3r.preprocessing.base.Container.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.base.Container.shape" title="sup3r.preprocessing.base.Container.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.base.Container.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.base.Container.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.base.Container.wrap" title="sup3r.preprocessing.base.Container.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.base.Container.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/base.html#Container.wrap"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.base.Container.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.base.Container.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/base.html#Container.post_init_log"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.base.Container.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.base.Container.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.base.Container.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Container.data"><code class="docutils literal notranslate"><span class="pre">Container.data</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Container.post_init_log"><code class="docutils literal notranslate"><span class="pre">Container.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Container.shape"><code class="docutils literal notranslate"><span class="pre">Container.shape</span></code></a></li>
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+    <h1>sup3r.preprocessing.base.Sup3rDataset</h1>
+    <!-- Table of contents -->
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+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Sup3rDataset"><code class="docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Sup3rDataset.dtype"><code class="docutils literal notranslate"><span class="pre">Sup3rDataset.dtype</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Sup3rDataset.rewrap"><code class="docutils literal notranslate"><span class="pre">Sup3rDataset.rewrap()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Sup3rDataset.sample"><code class="docutils literal notranslate"><span class="pre">Sup3rDataset.sample()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Sup3rDataset.isel"><code class="docutils literal notranslate"><span class="pre">Sup3rDataset.isel()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Sup3rDataset.shape"><code class="docutils literal notranslate"><span class="pre">Sup3rDataset.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Sup3rDataset.features"><code class="docutils literal notranslate"><span class="pre">Sup3rDataset.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Sup3rDataset.size"><code class="docutils literal notranslate"><span class="pre">Sup3rDataset.size</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Sup3rDataset.mean"><code class="docutils literal notranslate"><span class="pre">Sup3rDataset.mean()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Sup3rDataset.std"><code class="docutils literal notranslate"><span class="pre">Sup3rDataset.std()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Sup3rDataset.normalize"><code class="docutils literal notranslate"><span class="pre">Sup3rDataset.normalize()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Sup3rDataset.compute"><code class="docutils literal notranslate"><span class="pre">Sup3rDataset.compute()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Sup3rDataset.loaded"><code class="docutils literal notranslate"><span class="pre">Sup3rDataset.loaded</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-base-sup3rdataset">
+<h1>sup3r.preprocessing.base.Sup3rDataset<a class="headerlink" href="#sup3r-preprocessing-base-sup3rdataset" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.base.Sup3rDataset">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Sup3rDataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">dsets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Mapping" title="(in Python v3.13)"><span class="pre">Mapping</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Dataset</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference internal" href="sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX" title="sup3r.preprocessing.accessor.Sup3rX"><span class="pre">Sup3rX</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/base.html#Sup3rDataset"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.base.Sup3rDataset" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<p>Interface for interacting with one or two <code class="docutils literal notranslate"><span class="pre">xr.Dataset</span></code> instances.
+This is a wrapper around one or two <code class="docutils literal notranslate"><span class="pre">Sup3rX</span></code> objects so they work well
+with Dual objects like <code class="docutils literal notranslate"><span class="pre">DualSampler</span></code>, <code class="docutils literal notranslate"><span class="pre">DualRasterizer</span></code>,
+<code class="docutils literal notranslate"><span class="pre">DualBatchHandler</span></code>, etc…)</p>
+<p class="rubric">Examples</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="c1"># access high_res or low_res:</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">hr</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">(</span><span class="o">...</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">lr</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">(</span><span class="o">...</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">ds</span> <span class="o">=</span> <span class="n">Sup3rDataset</span><span class="p">(</span><span class="n">low_res</span><span class="o">=</span><span class="n">lr</span><span class="p">,</span> <span class="n">high_res</span><span class="o">=</span><span class="n">hr</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">ds</span><span class="o">.</span><span class="n">high_res</span><span class="p">;</span> <span class="n">ds</span><span class="o">.</span><span class="n">low_res</span>  <span class="c1"># returns Sup3rX objects</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">ds</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span>  <span class="c1"># returns a tuple of dataarray (low_res, high_res)</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="c1"># access hourly or daily:</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">daily</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">(</span><span class="o">...</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">hourly</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">(</span><span class="o">...</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">ds</span> <span class="o">=</span> <span class="n">Sup3rDataset</span><span class="p">(</span><span class="n">daily</span><span class="o">=</span><span class="n">daily</span><span class="p">,</span> <span class="n">hourly</span><span class="o">=</span><span class="n">hourly</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">ds</span><span class="o">.</span><span class="n">hourly</span><span class="p">;</span> <span class="n">ds</span><span class="o">.</span><span class="n">daily</span>  <span class="c1"># returns Sup3rX objects</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">ds</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span>  <span class="c1"># returns a tuple of dataarray (daily, hourly)</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="c1"># single resolution data access:</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">xds</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">(</span><span class="o">...</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">ds</span> <span class="o">=</span> <span class="n">Sup3rDataset</span><span class="p">(</span><span class="n">hourly</span><span class="o">=</span><span class="n">xds</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">ds</span><span class="o">.</span><span class="n">hourly</span>  <span class="c1"># returns Sup3rX object</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">ds</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span>  <span class="c1"># returns a single dataarray</span>
+</pre></div>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>(1) This may seem similar to
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a>, which also can
+contain multiple data members, but members of
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> objects are
+completely independent while here there are at most two members which are
+related as low / high res versions of the same underlying data.</p>
+<p>(2) Here we make an important choice to use high_res members to compute
+means / stds. It would be reasonable to instead use the average of high_res
+and low_res means / stds for aggregate stats but we want to preserve the
+relationship between coarsened variables after normalization (e.g.
+temperature_2m, temperature_max_2m, temperature_min_2m). This means all
+these variables should have the same means and stds, which ultimately come
+from the high_res non coarsened variable.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>dsets</strong> (<em>Mapping[str, xr.Dataset | Sup3rX | Sup3rDataset]</em>) – <code class="docutils literal notranslate"><span class="pre">Sup3rDataset</span></code> is initialized from a flexible kwargs input. The
+keys will be used as names in a named tuple and the values will be
+the dataset members. These names will also be used to define
+attributes which point to these dataset members. You can provide
+<code class="docutils literal notranslate"><span class="pre">name=data</span></code> or <code class="docutils literal notranslate"><span class="pre">name1=data1,</span> <span class="pre">name2=data2</span></code> and then access these
+datasets as <code class="docutils literal notranslate"><span class="pre">.name1</span></code> or <code class="docutils literal notranslate"><span class="pre">.name2</span></code>. If dsets values are
+xr.Dataset objects these will be cast to <code class="docutils literal notranslate"><span class="pre">Sup3rX</span></code> objects first.
+We also check if dsets values are <code class="docutils literal notranslate"><span class="pre">Sup3rDataset</span></code> objects and if
+they only include one data member we use those to reinitialize a
+<code class="docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></p>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.base.Sup3rDataset.compute" title="sup3r.preprocessing.base.Sup3rDataset.compute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute</span></code></a>(**kwargs)</p></td>
+<td><p>Load data into memory for each data member.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.base.Sup3rDataset.isel" title="sup3r.preprocessing.base.Sup3rDataset.isel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isel</span></code></a>(*args, **kwargs)</p></td>
+<td><p>Return new Sup3rDataset with isel applied to each member.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.base.Sup3rDataset.mean" title="sup3r.preprocessing.base.Sup3rDataset.mean"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mean</span></code></a>(**kwargs)</p></td>
+<td><p>Use the high_res members to compute the means.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.base.Sup3rDataset.normalize" title="sup3r.preprocessing.base.Sup3rDataset.normalize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">normalize</span></code></a>(means, stds)</p></td>
+<td><p>Normalize dataset using the given mean and stds.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.base.Sup3rDataset.rewrap" title="sup3r.preprocessing.base.Sup3rDataset.rewrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rewrap</span></code></a>(data)</p></td>
+<td><p>Rewrap data as <code class="docutils literal notranslate"><span class="pre">Sup3rDataset</span></code> after calling parent method.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.base.Sup3rDataset.sample" title="sup3r.preprocessing.base.Sup3rDataset.sample"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample</span></code></a>(idx)</p></td>
+<td><p>Get samples from <code class="docutils literal notranslate"><span class="pre">self._ds</span></code> members.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.base.Sup3rDataset.std" title="sup3r.preprocessing.base.Sup3rDataset.std"><code class="xref py py-obj docutils literal notranslate"><span class="pre">std</span></code></a>(**kwargs)</p></td>
+<td><p>Use the high_res members to compute the stds.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.base.Sup3rDataset.dtype" title="sup3r.preprocessing.base.Sup3rDataset.dtype"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dtype</span></code></a></p></td>
+<td><p>Get datatype of first member.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.base.Sup3rDataset.features" title="sup3r.preprocessing.base.Sup3rDataset.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>The features are determined by the set of features from all data members.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.base.Sup3rDataset.loaded" title="sup3r.preprocessing.base.Sup3rDataset.loaded"><code class="xref py py-obj docutils literal notranslate"><span class="pre">loaded</span></code></a></p></td>
+<td><p>Check if all data members have been loaded into memory.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.base.Sup3rDataset.shape" title="sup3r.preprocessing.base.Sup3rDataset.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>We use the shape of the largest data member.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.base.Sup3rDataset.size" title="sup3r.preprocessing.base.Sup3rDataset.size"><code class="xref py py-obj docutils literal notranslate"><span class="pre">size</span></code></a></p></td>
+<td><p>Return number of elements in the largest data member.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.base.Sup3rDataset.dtype">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">dtype</span></span><a class="headerlink" href="#sup3r.preprocessing.base.Sup3rDataset.dtype" title="Link to this definition">#</a></dt>
+<dd><p>Get datatype of first member. Assumed to be constant for all
+members.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.base.Sup3rDataset.rewrap">
+<span class="sig-name descname"><span class="pre">rewrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/base.html#Sup3rDataset.rewrap"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.base.Sup3rDataset.rewrap" title="Link to this definition">#</a></dt>
+<dd><p>Rewrap data as <code class="docutils literal notranslate"><span class="pre">Sup3rDataset</span></code> after calling parent method.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.base.Sup3rDataset.sample">
+<span class="sig-name descname"><span class="pre">sample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">idx</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/base.html#Sup3rDataset.sample"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.base.Sup3rDataset.sample" title="Link to this definition">#</a></dt>
+<dd><p>Get samples from <code class="docutils literal notranslate"><span class="pre">self._ds</span></code> members. idx should be either a tuple
+of slices for the dimensions (south_north, west_east, time) and a list
+of feature names or a 2-tuple of the same, for dual datasets.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.base.Sup3rDataset.isel">
+<span class="sig-name descname"><span class="pre">isel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/base.html#Sup3rDataset.isel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.base.Sup3rDataset.isel" title="Link to this definition">#</a></dt>
+<dd><p>Return new Sup3rDataset with isel applied to each member.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.base.Sup3rDataset.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.base.Sup3rDataset.shape" title="Link to this definition">#</a></dt>
+<dd><p>We use the shape of the largest data member. These are assumed to be
+ordered as (low-res, high-res) if there are two members.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.base.Sup3rDataset.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.base.Sup3rDataset.features" title="Link to this definition">#</a></dt>
+<dd><p>The features are determined by the set of features from all data
+members.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.base.Sup3rDataset.size">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">size</span></span><a class="headerlink" href="#sup3r.preprocessing.base.Sup3rDataset.size" title="Link to this definition">#</a></dt>
+<dd><p>Return number of elements in the largest data member.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.base.Sup3rDataset.mean">
+<span class="sig-name descname"><span class="pre">mean</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/base.html#Sup3rDataset.mean"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.base.Sup3rDataset.mean" title="Link to this definition">#</a></dt>
+<dd><p>Use the high_res members to compute the means. These are used for
+normalization during training.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.base.Sup3rDataset.std">
+<span class="sig-name descname"><span class="pre">std</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/base.html#Sup3rDataset.std"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.base.Sup3rDataset.std" title="Link to this definition">#</a></dt>
+<dd><p>Use the high_res members to compute the stds. These are used for
+normalization during training.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.base.Sup3rDataset.normalize">
+<span class="sig-name descname"><span class="pre">normalize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">means</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stds</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/base.html#Sup3rDataset.normalize"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.base.Sup3rDataset.normalize" title="Link to this definition">#</a></dt>
+<dd><p>Normalize dataset using the given mean and stds. These are provided
+as dictionaries.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.base.Sup3rDataset.compute">
+<span class="sig-name descname"><span class="pre">compute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/base.html#Sup3rDataset.compute"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.base.Sup3rDataset.compute" title="Link to this definition">#</a></dt>
+<dd><p>Load data into memory for each data member.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.base.Sup3rDataset.loaded">
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Sup3rDataset"><code class="docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Sup3rDataset.dtype"><code class="docutils literal notranslate"><span class="pre">Sup3rDataset.dtype</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Sup3rDataset.isel"><code class="docutils literal notranslate"><span class="pre">Sup3rDataset.isel()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Sup3rDataset.size"><code class="docutils literal notranslate"><span class="pre">Sup3rDataset.size</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Sup3rDataset.mean"><code class="docutils literal notranslate"><span class="pre">Sup3rDataset.mean()</span></code></a></li>
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+    <h1>sup3r.preprocessing.base.Sup3rMeta</h1>
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+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Sup3rMeta"><code class="docutils literal notranslate"><span class="pre">Sup3rMeta</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Sup3rMeta.__call__"><code class="docutils literal notranslate"><span class="pre">Sup3rMeta.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Sup3rMeta.mro"><code class="docutils literal notranslate"><span class="pre">Sup3rMeta.mro()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.base.Sup3rMeta.register"><code class="docutils literal notranslate"><span class="pre">Sup3rMeta.register()</span></code></a></li>
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+                  
+  <section id="sup3r-preprocessing-base-sup3rmeta">
+<h1>sup3r.preprocessing.base.Sup3rMeta<a class="headerlink" href="#sup3r-preprocessing-base-sup3rmeta" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.base.Sup3rMeta">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Sup3rMeta</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bases</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">namespace</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/base.html#Sup3rMeta"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.base.Sup3rMeta" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/abc.html#abc.ABCMeta" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">ABCMeta</span></code></a>, <a class="reference external" href="https://docs.python.org/3/library/functions.html#type" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">type</span></code></a></p>
+<p>Meta class to define <code class="docutils literal notranslate"><span class="pre">__name__</span></code>, <code class="docutils literal notranslate"><span class="pre">__signature__</span></code>, and
+<code class="docutils literal notranslate"><span class="pre">__subclasscheck__</span></code> of composite and derived classes. This allows us to
+still resolve a signature for classes which pass through parent args /
+kwargs as <code class="docutils literal notranslate"><span class="pre">*args</span></code> / <code class="docutils literal notranslate"><span class="pre">**kwargs</span></code> or those built through factory
+composition, for example.</p>
+<p>Define __name__ and __signature__</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.base.Sup3rMeta.mro" title="sup3r.preprocessing.base.Sup3rMeta.mro"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mro</span></code></a>()</p></td>
+<td><p>Return a type's method resolution order.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.base.Sup3rMeta.register" title="sup3r.preprocessing.base.Sup3rMeta.register"><code class="xref py py-obj docutils literal notranslate"><span class="pre">register</span></code></a>(subclass)</p></td>
+<td><p>Register a virtual subclass of an ABC.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.base.Sup3rMeta.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.base.Sup3rMeta.__call__" title="Link to this definition">#</a></dt>
+<dd><p>Call self as a function.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.base.Sup3rMeta.mro">
+<span class="sig-name descname"><span class="pre">mro</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.base.Sup3rMeta.mro" title="Link to this definition">#</a></dt>
+<dd><p>Return a type’s method resolution order.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.base.Sup3rMeta.register">
+<span class="sig-name descname"><span class="pre">register</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">subclass</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.base.Sup3rMeta.register" title="Link to this definition">#</a></dt>
+<dd><p>Register a virtual subclass of an ABC.</p>
+<p>Returns the subclass, to allow usage as a class decorator.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
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+  <section id="module-sup3r.preprocessing.base">
+<span id="sup3r-preprocessing-base"></span><h1>sup3r.preprocessing.base<a class="headerlink" href="#module-sup3r.preprocessing.base" title="Link to this heading">#</a></h1>
+<p>Base classes - fundamental dataset objects and the base <a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a>
+object, which just contains dataset objects. All objects that interact with
+data are containers. e.g. loaders, rasterizers, data handlers, samplers, batch
+queues, batch handlers.</p>
+<p>TODO: <a class="github reference external" href="https://github.com/xarray-contrib/datatree">xarray-contrib/datatree</a> might be a better approach
+for Sup3rDataset concept. Consider migrating once datatree has been fully
+integrated into xarray (in progress as of 8/8/2024)</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Container</span></code></a>([data])</p></td>
+<td><p>Basic fundamental object used to build preprocessing objects.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a>(**dsets)</p></td>
+<td><p>Interface for interacting with one or two <code class="docutils literal notranslate"><span class="pre">xr.Dataset</span></code> instances.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rMeta.html#sup3r.preprocessing.base.Sup3rMeta" title="sup3r.preprocessing.base.Sup3rMeta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Sup3rMeta</span></code></a>(name, bases, namespace, **kwargs)</p></td>
+<td><p>Meta class to define <code class="docutils literal notranslate"><span class="pre">__name__</span></code>, <code class="docutils literal notranslate"><span class="pre">__signature__</span></code>, and <code class="docutils literal notranslate"><span class="pre">__subclasscheck__</span></code> of composite and derived classes.</p></td>
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+    <h1>sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.SAMPLER"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.SAMPLER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.TRAIN_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.TRAIN_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.VAL_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.VAL_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.check_features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.container_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.data"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_container_index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_queue"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_random_container"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.hr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.init_samplers"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.init_samplers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.log_queue_info"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.lr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.post_init_log"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.post_proc"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.preflight"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.queue_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.queue_thread"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.running"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.sample_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.spatial_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.spatial_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.start"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.stop"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.temporal_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.temporal_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.transform"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.update_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.update_weights()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.wrap"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-batch-handlers-dc-batchhandlerdc">
+<h1>sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC<a class="headerlink" href="#sup3r-preprocessing-batch-handlers-dc-batchhandlerdc" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">BatchHandlerDC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_containers</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_containers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_batches</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">means</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stds</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">queue_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'lazy'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spatial_weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_space_bins</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_time_bins</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_handlers/dc.html#BatchHandlerDC"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></p>
+<p>Data-Centric BatchHandler. This is used to adaptively select data
+from lower performing spatiotemporal extents during training. To do this,
+validation data is required, as it is used to compute losses within fixed
+spatiotemporal bins which are then used as sampling probabilities for those
+same regions when building batches.</p>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchQueueDC</span></code></a>, <a class="reference internal" href="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC"><code class="xref py py-class docutils literal notranslate"><span class="pre">ValBatchQueueDC</span></code></a>, <a class="reference internal" href="sup3r.preprocessing.samplers.dc.SamplerDC.html#sup3r.preprocessing.samplers.dc.SamplerDC" title="sup3r.preprocessing.samplers.dc.SamplerDC"><code class="xref py py-class docutils literal notranslate"><span class="pre">SamplerDC</span></code></a>, <a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandlerFactory.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerFactory" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerFactory"><code class="xref py py-func docutils literal notranslate"><span class="pre">BatchHandlerFactory()</span></code></a></p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>train_containers</strong> (<em>List[Container]</em>) – List of objects with a <cite>.data</cite> attribute, which will be used
+to initialize Sampler objects and then used to initialize a
+batch queue of training data. The data can be a Sup3rX or
+Sup3rDataset object.</p></li>
+<li><p><strong>val_containers</strong> (<em>List[Container]</em>) – List of objects with a <cite>.data</cite> attribute, which will be used
+to initialize Sampler objects and then used to initialize a
+batch queue of validation data. The data can be a Sup3rX or a
+Sup3rDataset object.</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of observations / samples in a batch</p></li>
+<li><p><strong>n_batches</strong> (<em>int</em>) – Number of batches in an epoch, this sets the iteration limit for
+this object.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes is to be enhanced.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Integer factor by which the temporal axes is to be enhanced.</p></li>
+<li><p><strong>means</strong> (<em>str | dict | None</em>) – Usually a file path for loading / saving results, or None for
+just calculating stats and not saving. Can also be a dict.</p></li>
+<li><p><strong>stds</strong> (<em>str | dict | None</em>) – Usually a file path for loading / saving results, or None for
+just calculating stats and not saving. Can also be a dict.</p></li>
+<li><p><strong>queue_cap</strong> (<em>int</em>) – Maximum number of batches the batch queue can store.</p></li>
+<li><p><strong>transform_kwargs</strong> (<em>Union[Dict, None]</em>) – Dictionary of kwargs to be passed to <cite>self.transform</cite>. This method
+performs smoothing / coarsening.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Loading mode. Default is ‘lazy’, which only loads data into memory
+as batches are queued. ‘eager’ will load all data into memory right
+away.</p></li>
+<li><p><strong>feature_sets</strong> (<em>Optional[dict]</em>) – Optional dictionary describing how the full set of features is
+split between <cite>lr_only_features</cite> and <cite>hr_exo_features</cite>. See
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code></p></li>
+<li><p><strong>sample_shape</strong> (<em>tuple</em>) – Size of arrays to sample from the contained data.</p></li>
+<li><p><strong>spatial_weights</strong> (<em>Union[np.ndarray, da.core.Array] | List | None</em>) – Set of weights used to initialize the spatial sampling. e.g. If we
+want to start off sampling across 2 spatial bins evenly this should
+be [0.5, 0.5]. During training these weights will be updated based
+only performance across the bins associated with these weights.</p></li>
+<li><p><strong>temporal_weights</strong> (<em>Union[np.ndarray, da.core.Array] | List | None</em>) – Set of weights used to initialize the temporal sampling. e.g. If we
+want to start off sampling only the first season of the year this
+should be [1, 0, 0, 0]. During training these weights will be
+updated based only performance across the bins associated with
+these weights.</p></li>
+<li><p><strong>n_space_bins</strong> (<em>int</em>) – Number of spatial bins to use for weighted sampling. e.g. if this
+is 4 the spatial domain will be divided into 4 equal regions and
+losses will be calculated across these regions during traning in
+order to adaptively sample from lower performing regions.</p></li>
+<li><p><strong>n_time_bins</strong> (<em>int</em>) – Number of time bins to use for weighted sampling. e.g. if this
+is 4 the temporal domain will be divided into 4 equal periods and
+losses will be calculated across these periods during traning in
+order to adaptively sample from lower performing time periods.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.check_enhancement_factors" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.check_enhancement_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_enhancement_factors</span></code></a>()</p></td>
+<td><p>Make sure the enhancement factors evenly divide the sample_shape.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.check_features" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.check_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_features</span></code></a>()</p></td>
+<td><p>Make sure all samplers have the same sets of features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.check_shared_attr" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.enqueue_batch" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.enqueue_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batch</span></code></a>()</p></td>
+<td><p>Build batch and send to queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.enqueue_batches" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.enqueue_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batches</span></code></a>()</p></td>
+<td><p>Callback function for queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_batch" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_batch</span></code></a>()</p></td>
+<td><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through <code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_container_index" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_container_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_container_index</span></code></a>()</p></td>
+<td><p>Get random container index based on weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_queue" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_queue</span></code></a>()</p></td>
+<td><p>Return FIFO queue for storing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_random_container" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_random_container"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_random_container</span></code></a>()</p></td>
+<td><p>Get random container based on container weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.init_samplers" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.init_samplers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_samplers</span></code></a>(train_containers, ...)</p></td>
+<td><p>Initialize samplers from given data containers.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.log_queue_info" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.log_queue_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_queue_info</span></code></a>()</p></td>
+<td><p>Log info about queue size.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.post_init_log" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.post_proc" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.post_proc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_proc</span></code></a>(samples)</p></td>
+<td><p>Performs some post proc on dequeued samples before sending out for training.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.preflight" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run checks before kicking off the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.sample_batch" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.sample_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_batch</span></code></a>()</p></td>
+<td><p>Update weights and get batch of samples from sampled container.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.start" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start</span></code></a>()</p></td>
+<td><p>Start the val data batch queue in addition to the train batch queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.stop" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop</span></code></a>()</p></td>
+<td><p>Stop the val data batch queue in addition to the train batch queue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.transform" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(samples[, smoothing, ...])</p></td>
+<td><p>Coarsen high res data to get corresponding low res batch.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.update_weights" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.update_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_weights</span></code></a>(spatial_weights, temporal_weights)</p></td>
+<td><p>Set weights used to sample spatial and temporal bins.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.wrap" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.container_weights" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.data" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.features" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.hr_shape" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Shape of high resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.lr_shape" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Shape of low resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.queue_shape" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.queue_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_shape</span></code></a></p></td>
+<td><p>Shape of objects stored in the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.queue_thread" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.queue_thread"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_thread</span></code></a></p></td>
+<td><p>Get new queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.running" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.running"><code class="xref py py-obj docutils literal notranslate"><span class="pre">running</span></code></a></p></td>
+<td><p>Boolean to check whether to keep enqueueing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.shape" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.spatial_weights" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.spatial_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">spatial_weights</span></code></a></p></td>
+<td><p>Get weights used to sample spatial bins.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.temporal_weights" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.temporal_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">temporal_weights</span></code></a></p></td>
+<td><p>Get weights used to sample temporal bins.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of Batch(low_res, high_res)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.SAMPLER">
+<span class="sig-name descname"><span class="pre">SAMPLER</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.SAMPLER" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.samplers.dc.SamplerDC.html#sup3r.preprocessing.samplers.dc.SamplerDC" title="sup3r.preprocessing.samplers.dc.SamplerDC"><code class="xref py py-class docutils literal notranslate"><span class="pre">SamplerDC</span></code></a></p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.TRAIN_QUEUE">
+<span class="sig-name descname"><span class="pre">TRAIN_QUEUE</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.TRAIN_QUEUE" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchQueueDC</span></code></a></p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.VAL_QUEUE">
+<span class="sig-name descname"><span class="pre">VAL_QUEUE</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.VAL_QUEUE" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC"><code class="xref py py-class docutils literal notranslate"><span class="pre">ValBatchQueueDC</span></code></a></p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.check_enhancement_factors">
+<span class="sig-name descname"><span class="pre">check_enhancement_factors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.check_enhancement_factors" title="Link to this definition">#</a></dt>
+<dd><p>Make sure the enhancement factors evenly divide the sample_shape.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.check_features">
+<span class="sig-name descname"><span class="pre">check_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.check_features" title="Link to this definition">#</a></dt>
+<dd><p>Make sure all samplers have the same sets of features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.wrap" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.enqueue_batch">
+<span class="sig-name descname"><span class="pre">enqueue_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.enqueue_batch" title="Link to this definition">#</a></dt>
+<dd><p>Build batch and send to queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.enqueue_batches">
+<span class="sig-name descname"><span class="pre">enqueue_batches</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.enqueue_batches" title="Link to this definition">#</a></dt>
+<dd><p>Callback function for queue thread. While training, the queue is
+checked for empty spots and filled. In the training thread, batches are
+removed from the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_batch">
+<span class="sig-name descname"><span class="pre">get_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through
+<code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_container_index">
+<span class="sig-name descname"><span class="pre">get_container_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_container_index" title="Link to this definition">#</a></dt>
+<dd><p>Get random container index based on weights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_queue">
+<span class="sig-name descname"><span class="pre">get_queue</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_queue" title="Link to this definition">#</a></dt>
+<dd><p>Return FIFO queue for storing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_random_container">
+<span class="sig-name descname"><span class="pre">get_random_container</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_random_container" title="Link to this definition">#</a></dt>
+<dd><p>Get random container based on container weights</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of high resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.init_samplers">
+<span class="sig-name descname"><span class="pre">init_samplers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_containers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_containers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampler_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.init_samplers" title="Link to this definition">#</a></dt>
+<dd><p>Initialize samplers from given data containers.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.log_queue_info">
+<span class="sig-name descname"><span class="pre">log_queue_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.log_queue_info" title="Link to this definition">#</a></dt>
+<dd><p>Log info about queue size.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of low resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.post_proc">
+<span class="sig-name descname"><span class="pre">post_proc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.post_proc" title="Link to this definition">#</a></dt>
+<dd><p>Performs some post proc on dequeued samples before sending out for
+training. Post processing can include coarsening on high-res data (if
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code> consists of <code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects and not
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> objects), smoothing, etc</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>Batch</strong> (<em>namedtuple</em>) – namedtuple with <cite>low_res</cite> and <cite>high_res</cite> attributes</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run checks before kicking off the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.queue_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.queue_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of objects stored in the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.queue_thread">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_thread</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.queue_thread" title="Link to this definition">#</a></dt>
+<dd><p>Get new queue thread.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.running">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">running</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.running" title="Link to this definition">#</a></dt>
+<dd><p>Boolean to check whether to keep enqueueing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.sample_batch">
+<span class="sig-name descname"><span class="pre">sample_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.sample_batch" title="Link to this definition">#</a></dt>
+<dd><p>Update weights and get batch of samples from sampled container.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.spatial_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">spatial_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.spatial_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample spatial bins.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.start">
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.start" title="Link to this definition">#</a></dt>
+<dd><p>Start the val data batch queue in addition to the train batch
+queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.stop">
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.stop" title="Link to this definition">#</a></dt>
+<dd><p>Stop the val data batch queue in addition to the train batch
+queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.temporal_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">temporal_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.temporal_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample temporal bins.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.transform">
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_ignore</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_coarsening_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'subsample'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.transform" title="Link to this definition">#</a></dt>
+<dd><p>Coarsen high res data to get corresponding low res batch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samples</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – High resolution batch of samples.
+4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>smoothing</strong> (<em>float | None</em>) – Standard deviation to use for gaussian filtering of the coarse
+data. This can be tuned by matching the kinetic energy of a low
+resolution simulation with the kinetic energy of a coarsened and
+smoothed high resolution simulation. If None no smoothing is
+performed.</p></li>
+<li><p><strong>smoothing_ignore</strong> (<em>list | None</em>) – List of features to ignore for the smoothing filter. None will
+smooth all features if smoothing kwarg is not None</p></li>
+<li><p><strong>temporal_coarsening_method</strong> (<em>str</em>) – Method to use for temporal coarsening. Can be subsample, average,
+min, max, or total</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>low_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.update_weights">
+<span class="sig-name descname"><span class="pre">update_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spatial_weights</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_weights</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.update_weights" title="Link to this definition">#</a></dt>
+<dd><p>Set weights used to sample spatial and temporal bins. This is called
+by <code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rGanDC</span></code> after an epoch to update weights based on model
+performance across validation samples.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
+                  
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.SAMPLER"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.SAMPLER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.TRAIN_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.TRAIN_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.VAL_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.VAL_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.check_features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.container_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.data"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_container_index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_queue"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_random_container"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.hr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.init_samplers"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.init_samplers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.log_queue_info"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.lr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.post_init_log"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.post_proc"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.preflight"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.queue_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.queue_thread"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.running"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.sample_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.spatial_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.spatial_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.start"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.stop"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.temporal_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.temporal_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.transform"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.update_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.update_weights()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.wrap"><code class="docutils literal notranslate"><span class="pre">BatchHandlerDC.wrap()</span></code></a></li>
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+  <section id="module-sup3r.preprocessing.batch_handlers.dc">
+<span id="sup3r-preprocessing-batch-handlers-dc"></span><h1>sup3r.preprocessing.batch_handlers.dc<a class="headerlink" href="#module-sup3r.preprocessing.batch_handlers.dc" title="Link to this heading">#</a></h1>
+<p>Data centric batch handlers. Sample contained data according to
+spatiotemporal weights, which are derived from losses on validation data during
+training and updated each epoch.</p>
+<p>TODO: Easy to implement dual dc batch handler - Just need to use DualBatchQueue
+and override SamplerDC get_sample_index method.</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BatchHandlerDC</span></code></a>(train_containers, *[, ...])</p></td>
+<td><p>Data-Centric BatchHandler.</p></td>
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diff --git a/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html b/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html
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+    <h1>sup3r.preprocessing.batch_handlers.factory.BatchHandler</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="docutils literal notranslate"><span class="pre">BatchHandler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch"><code class="docutils literal notranslate"><span class="pre">BatchHandler.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandler.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandler.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandler.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandler.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandler.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandler.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.SAMPLER"><code class="docutils literal notranslate"><span class="pre">BatchHandler.SAMPLER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.TRAIN_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandler.TRAIN_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.VAL_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandler.VAL_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">BatchHandler.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.check_features"><code class="docutils literal notranslate"><span class="pre">BatchHandler.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">BatchHandler.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.container_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandler.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.data"><code class="docutils literal notranslate"><span class="pre">BatchHandler.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandler.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">BatchHandler.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.features"><code class="docutils literal notranslate"><span class="pre">BatchHandler.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandler.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_container_index"><code class="docutils literal notranslate"><span class="pre">BatchHandler.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_queue"><code class="docutils literal notranslate"><span class="pre">BatchHandler.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_random_container"><code class="docutils literal notranslate"><span class="pre">BatchHandler.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.hr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandler.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.init_samplers"><code class="docutils literal notranslate"><span class="pre">BatchHandler.init_samplers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.log_queue_info"><code class="docutils literal notranslate"><span class="pre">BatchHandler.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.lr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandler.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.post_init_log"><code class="docutils literal notranslate"><span class="pre">BatchHandler.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.post_proc"><code class="docutils literal notranslate"><span class="pre">BatchHandler.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.preflight"><code class="docutils literal notranslate"><span class="pre">BatchHandler.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.queue_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandler.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.queue_thread"><code class="docutils literal notranslate"><span class="pre">BatchHandler.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.running"><code class="docutils literal notranslate"><span class="pre">BatchHandler.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.sample_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandler.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.shape"><code class="docutils literal notranslate"><span class="pre">BatchHandler.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.start"><code class="docutils literal notranslate"><span class="pre">BatchHandler.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.stop"><code class="docutils literal notranslate"><span class="pre">BatchHandler.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.transform"><code class="docutils literal notranslate"><span class="pre">BatchHandler.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.wrap"><code class="docutils literal notranslate"><span class="pre">BatchHandler.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-batch-handlers-factory-batchhandler">
+<h1>sup3r.preprocessing.batch_handlers.factory.BatchHandler<a class="headerlink" href="#sup3r-preprocessing-batch-handlers-factory-batchhandler" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">BatchHandler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_containers</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_containers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_batches</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">means</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stds</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">queue_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'lazy'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">SingleBatchQueue</span></code></a></p>
+<p>BatchHandler object built from two lists of
+<a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a> objects, one with
+training data and one with validation data. These lists will be used
+to initialize lists of class:<cite>Sampler</cite> objects that will then be used
+to build batches at run time.</p>
+<p class="rubric">Notes</p>
+<p>These lists of containers can contain data from the same underlying
+data source (e.g. CONUS WTK) (e.g. initialize train / val containers
+with different time period and / or regions, or they can be used to
+sample from completely different data sources (e.g. train on CONUS WTK
+while validating on Canada WTK).</p>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code>, <a class="reference internal" href="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">AbstractBatchQueue</span></code></a>, <code class="xref py py-class docutils literal notranslate"><span class="pre">StatsCollection</span></code></p>
+</div>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>train_containers</strong> (<em>List[Container]</em>) – List of objects with a <cite>.data</cite> attribute, which will be used
+to initialize Sampler objects and then used to initialize a
+batch queue of training data. The data can be a Sup3rX or
+Sup3rDataset object.</p></li>
+<li><p><strong>val_containers</strong> (<em>List[Container]</em>) – List of objects with a <cite>.data</cite> attribute, which will be used
+to initialize Sampler objects and then used to initialize a
+batch queue of validation data. The data can be a Sup3rX or a
+Sup3rDataset object.</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of observations / samples in a batch</p></li>
+<li><p><strong>n_batches</strong> (<em>int</em>) – Number of batches in an epoch, this sets the iteration limit for
+this object.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes is to be enhanced.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Integer factor by which the temporal axes is to be enhanced.</p></li>
+<li><p><strong>means</strong> (<em>str | dict | None</em>) – Usually a file path for loading / saving results, or None for
+just calculating stats and not saving. Can also be a dict.</p></li>
+<li><p><strong>stds</strong> (<em>str | dict | None</em>) – Usually a file path for loading / saving results, or None for
+just calculating stats and not saving. Can also be a dict.</p></li>
+<li><p><strong>queue_cap</strong> (<em>int</em>) – Maximum number of batches the batch queue can store.</p></li>
+<li><p><strong>transform_kwargs</strong> (<em>Union[Dict, None]</em>) – Dictionary of kwargs to be passed to <cite>self.transform</cite>. This method
+performs smoothing / coarsening.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Loading mode. Default is ‘lazy’, which only loads data into memory
+as batches are queued. ‘eager’ will load all data into memory right
+away.</p></li>
+<li><p><strong>feature_sets</strong> (<em>Optional[dict]</em>) – Optional dictionary describing how the full set of features is
+split between <code class="docutils literal notranslate"><span class="pre">lr_only_features</span></code> and <code class="docutils literal notranslate"><span class="pre">hr_exo_features</span></code>.</p>
+<dl class="simple">
+<dt>features<span class="classifier">list | tuple</span></dt><dd><p>List of full set of features to use for sampling. If no entry
+is provided then all data_vars from data will be used.</p>
+</dd>
+<dt>lr_only_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should only be
+included in the low-res training set and not the high-res
+observations.</p>
+</dd>
+<dt>hr_exo_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should be included
+in the high-resolution observation but not expected to be
+output from the generative model. An example is high-res
+topography that is to be injected mid-network.</p>
+</dd>
+</dl>
+</li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Additional keyword arguments for BatchQueue and / or Samplers.
+This can vary depending on the type of BatchQueue / Sampler
+given to the Factory. For example, to build a
+<code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandlerDC</span></code>
+object (data-centric batch handler) we use a queue and sampler
+which takes spatial and temporal weight / bin arguments used to
+determine how to weigh spatiotemporal regions when sampling.
+Using
+<code class="xref py py-class docutils literal notranslate"><span class="pre">ConditionalBatchQueue</span></code>
+will result in arguments for computing moments from batches and
+how to pad batch data to enable these calculations.</p></li>
+<li><p><strong>sample_shape</strong> (<em>tuple</em>) – Size of arrays to sample from the contained data.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.check_enhancement_factors" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.check_enhancement_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_enhancement_factors</span></code></a>()</p></td>
+<td><p>Make sure the enhancement factors evenly divide the sample_shape.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.check_features" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.check_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_features</span></code></a>()</p></td>
+<td><p>Make sure all samplers have the same sets of features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.check_shared_attr" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.enqueue_batch" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.enqueue_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batch</span></code></a>()</p></td>
+<td><p>Build batch and send to queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.enqueue_batches" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.enqueue_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batches</span></code></a>()</p></td>
+<td><p>Callback function for queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_batch" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_batch</span></code></a>()</p></td>
+<td><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through <code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_container_index" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_container_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_container_index</span></code></a>()</p></td>
+<td><p>Get random container index based on weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_queue" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_queue</span></code></a>()</p></td>
+<td><p>Return FIFO queue for storing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_random_container" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_random_container"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_random_container</span></code></a>()</p></td>
+<td><p>Get random container based on container weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.init_samplers" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.init_samplers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_samplers</span></code></a>(train_containers, ...)</p></td>
+<td><p>Initialize samplers from given data containers.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.log_queue_info" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.log_queue_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_queue_info</span></code></a>()</p></td>
+<td><p>Log info about queue size.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.post_init_log" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.post_proc" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.post_proc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_proc</span></code></a>(samples)</p></td>
+<td><p>Performs some post proc on dequeued samples before sending out for training.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.preflight" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run checks before kicking off the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.sample_batch" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.sample_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_batch</span></code></a>()</p></td>
+<td><p>Get random sampler from collection and return a batch of samples from that sampler.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.start" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start</span></code></a>()</p></td>
+<td><p>Start the val data batch queue in addition to the train batch queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.stop" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop</span></code></a>()</p></td>
+<td><p>Stop the val data batch queue in addition to the train batch queue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.transform" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(samples[, smoothing, ...])</p></td>
+<td><p>Coarsen high res data to get corresponding low res batch.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.wrap" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.container_weights" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.data" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.features" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.hr_shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Shape of high resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.lr_shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Shape of low resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.queue_shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.queue_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_shape</span></code></a></p></td>
+<td><p>Shape of objects stored in the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.queue_thread" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.queue_thread"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_thread</span></code></a></p></td>
+<td><p>Get new queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.running" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.running"><code class="xref py py-obj docutils literal notranslate"><span class="pre">running</span></code></a></p></td>
+<td><p>Boolean to check whether to keep enqueueing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of Batch(low_res, high_res)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.SAMPLER">
+<span class="sig-name descname"><span class="pre">SAMPLER</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.SAMPLER" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler" title="sup3r.preprocessing.samplers.base.Sampler"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code></a></p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.TRAIN_QUEUE">
+<span class="sig-name descname"><span class="pre">TRAIN_QUEUE</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.TRAIN_QUEUE" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">SingleBatchQueue</span></code></a></p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.VAL_QUEUE">
+<span class="sig-name descname"><span class="pre">VAL_QUEUE</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.VAL_QUEUE" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">SingleBatchQueue</span></code></a></p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.check_enhancement_factors">
+<span class="sig-name descname"><span class="pre">check_enhancement_factors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.check_enhancement_factors" title="Link to this definition">#</a></dt>
+<dd><p>Make sure the enhancement factors evenly divide the sample_shape.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.check_features">
+<span class="sig-name descname"><span class="pre">check_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.check_features" title="Link to this definition">#</a></dt>
+<dd><p>Make sure all samplers have the same sets of features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.wrap" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.enqueue_batch">
+<span class="sig-name descname"><span class="pre">enqueue_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.enqueue_batch" title="Link to this definition">#</a></dt>
+<dd><p>Build batch and send to queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.enqueue_batches">
+<span class="sig-name descname"><span class="pre">enqueue_batches</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.enqueue_batches" title="Link to this definition">#</a></dt>
+<dd><p>Callback function for queue thread. While training, the queue is
+checked for empty spots and filled. In the training thread, batches are
+removed from the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_batch">
+<span class="sig-name descname"><span class="pre">get_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through
+<code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_container_index">
+<span class="sig-name descname"><span class="pre">get_container_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_container_index" title="Link to this definition">#</a></dt>
+<dd><p>Get random container index based on weights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_queue">
+<span class="sig-name descname"><span class="pre">get_queue</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_queue" title="Link to this definition">#</a></dt>
+<dd><p>Return FIFO queue for storing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_random_container">
+<span class="sig-name descname"><span class="pre">get_random_container</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_random_container" title="Link to this definition">#</a></dt>
+<dd><p>Get random container based on container weights</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of high resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.init_samplers">
+<span class="sig-name descname"><span class="pre">init_samplers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_containers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_containers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampler_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.init_samplers" title="Link to this definition">#</a></dt>
+<dd><p>Initialize samplers from given data containers.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.log_queue_info">
+<span class="sig-name descname"><span class="pre">log_queue_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.log_queue_info" title="Link to this definition">#</a></dt>
+<dd><p>Log info about queue size.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of low resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.post_proc">
+<span class="sig-name descname"><span class="pre">post_proc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.post_proc" title="Link to this definition">#</a></dt>
+<dd><p>Performs some post proc on dequeued samples before sending out for
+training. Post processing can include coarsening on high-res data (if
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code> consists of <code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects and not
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> objects), smoothing, etc</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>Batch</strong> (<em>namedtuple</em>) – namedtuple with <cite>low_res</cite> and <cite>high_res</cite> attributes</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run checks before kicking off the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.queue_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.queue_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of objects stored in the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.queue_thread">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_thread</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.queue_thread" title="Link to this definition">#</a></dt>
+<dd><p>Get new queue thread.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.running">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">running</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.running" title="Link to this definition">#</a></dt>
+<dd><p>Boolean to check whether to keep enqueueing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.sample_batch">
+<span class="sig-name descname"><span class="pre">sample_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.sample_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get random sampler from collection and return a batch of samples
+from that sampler.</p>
+<p class="rubric">Notes</p>
+<p>These samples are wrapped in an <code class="docutils literal notranslate"><span class="pre">np.asarray</span></code> call, so they have been
+loaded into memory.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.start">
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.start" title="Link to this definition">#</a></dt>
+<dd><p>Start the val data batch queue in addition to the train batch
+queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.stop">
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.stop" title="Link to this definition">#</a></dt>
+<dd><p>Stop the val data batch queue in addition to the train batch
+queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.transform">
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_ignore</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_coarsening_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'subsample'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.transform" title="Link to this definition">#</a></dt>
+<dd><p>Coarsen high res data to get corresponding low res batch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samples</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – High resolution batch of samples.
+4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>smoothing</strong> (<em>float | None</em>) – Standard deviation to use for gaussian filtering of the coarse
+data. This can be tuned by matching the kinetic energy of a low
+resolution simulation with the kinetic energy of a coarsened and
+smoothed high resolution simulation. If None no smoothing is
+performed.</p></li>
+<li><p><strong>smoothing_ignore</strong> (<em>list | None</em>) – List of features to ignore for the smoothing filter. None will
+smooth all features if smoothing kwarg is not None</p></li>
+<li><p><strong>temporal_coarsening_method</strong> (<em>str</em>) – Method to use for temporal coarsening. Can be subsample, average,
+min, max, or total</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>low_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandler.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
+                  
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+        <p class="prev-next-subtitle">previous</p>
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="docutils literal notranslate"><span class="pre">BatchHandler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch"><code class="docutils literal notranslate"><span class="pre">BatchHandler.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandler.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandler.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandler.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandler.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandler.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandler.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.SAMPLER"><code class="docutils literal notranslate"><span class="pre">BatchHandler.SAMPLER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.TRAIN_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandler.TRAIN_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.VAL_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandler.VAL_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">BatchHandler.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.check_features"><code class="docutils literal notranslate"><span class="pre">BatchHandler.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">BatchHandler.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.container_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandler.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.data"><code class="docutils literal notranslate"><span class="pre">BatchHandler.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandler.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">BatchHandler.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.features"><code class="docutils literal notranslate"><span class="pre">BatchHandler.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandler.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_container_index"><code class="docutils literal notranslate"><span class="pre">BatchHandler.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_queue"><code class="docutils literal notranslate"><span class="pre">BatchHandler.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_random_container"><code class="docutils literal notranslate"><span class="pre">BatchHandler.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.hr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandler.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.init_samplers"><code class="docutils literal notranslate"><span class="pre">BatchHandler.init_samplers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.log_queue_info"><code class="docutils literal notranslate"><span class="pre">BatchHandler.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.lr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandler.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.post_init_log"><code class="docutils literal notranslate"><span class="pre">BatchHandler.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.post_proc"><code class="docutils literal notranslate"><span class="pre">BatchHandler.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.preflight"><code class="docutils literal notranslate"><span class="pre">BatchHandler.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.queue_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandler.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.queue_thread"><code class="docutils literal notranslate"><span class="pre">BatchHandler.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.running"><code class="docutils literal notranslate"><span class="pre">BatchHandler.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.sample_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandler.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.shape"><code class="docutils literal notranslate"><span class="pre">BatchHandler.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.start"><code class="docutils literal notranslate"><span class="pre">BatchHandler.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.stop"><code class="docutils literal notranslate"><span class="pre">BatchHandler.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.transform"><code class="docutils literal notranslate"><span class="pre">BatchHandler.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandler.wrap"><code class="docutils literal notranslate"><span class="pre">BatchHandler.wrap()</span></code></a></li>
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+    <h1>sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC</h1>
+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
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+            <div>
+                <h2> Contents </h2>
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+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.SAMPLER"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.SAMPLER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.TRAIN_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.TRAIN_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.VAL_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.VAL_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.check_features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.container_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.data"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_container_index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_queue"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_random_container"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.hr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.init_samplers"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.init_samplers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.log_queue_info"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.lr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.post_init_log"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.post_proc"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.preflight"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.queue_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.queue_thread"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.running"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.sample_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.start"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.stop"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.transform"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.wrap"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-batch-handlers-factory-batchhandlercc">
+<h1>sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC<a class="headerlink" href="#sup3r-preprocessing-batch-handlers-factory-batchhandlercc" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">BatchHandlerCC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_containers</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_containers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_batches</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">means</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stds</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">queue_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'lazy'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualBatchQueue</span></code></a></p>
+<p>BatchHandler object built from two lists of
+<a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a> objects, one with
+training data and one with validation data. These lists will be used
+to initialize lists of class:<cite>Sampler</cite> objects that will then be used
+to build batches at run time.</p>
+<p class="rubric">Notes</p>
+<p>These lists of containers can contain data from the same underlying
+data source (e.g. CONUS WTK) (e.g. initialize train / val containers
+with different time period and / or regions, or they can be used to
+sample from completely different data sources (e.g. train on CONUS WTK
+while validating on Canada WTK).</p>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code>, <a class="reference internal" href="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">AbstractBatchQueue</span></code></a>, <code class="xref py py-class docutils literal notranslate"><span class="pre">StatsCollection</span></code></p>
+</div>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>train_containers</strong> (<em>List[Container]</em>) – List of objects with a <cite>.data</cite> attribute, which will be used
+to initialize Sampler objects and then used to initialize a
+batch queue of training data. The data can be a Sup3rX or
+Sup3rDataset object.</p></li>
+<li><p><strong>val_containers</strong> (<em>List[Container]</em>) – List of objects with a <cite>.data</cite> attribute, which will be used
+to initialize Sampler objects and then used to initialize a
+batch queue of validation data. The data can be a Sup3rX or a
+Sup3rDataset object.</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of observations / samples in a batch</p></li>
+<li><p><strong>n_batches</strong> (<em>int</em>) – Number of batches in an epoch, this sets the iteration limit for
+this object.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes is to be enhanced.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Integer factor by which the temporal axes is to be enhanced.</p></li>
+<li><p><strong>means</strong> (<em>str | dict | None</em>) – Usually a file path for loading / saving results, or None for
+just calculating stats and not saving. Can also be a dict.</p></li>
+<li><p><strong>stds</strong> (<em>str | dict | None</em>) – Usually a file path for loading / saving results, or None for
+just calculating stats and not saving. Can also be a dict.</p></li>
+<li><p><strong>queue_cap</strong> (<em>int</em>) – Maximum number of batches the batch queue can store.</p></li>
+<li><p><strong>transform_kwargs</strong> (<em>Union[Dict, None]</em>) – Dictionary of kwargs to be passed to <cite>self.transform</cite>. This method
+performs smoothing / coarsening.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Loading mode. Default is ‘lazy’, which only loads data into memory
+as batches are queued. ‘eager’ will load all data into memory right
+away.</p></li>
+<li><p><strong>feature_sets</strong> (<em>Optional[dict]</em>) – Optional dictionary describing how the full set of features is
+split between <code class="docutils literal notranslate"><span class="pre">lr_only_features</span></code> and <code class="docutils literal notranslate"><span class="pre">hr_exo_features</span></code>.</p>
+<dl class="simple">
+<dt>lr_only_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should only be
+included in the low-res training set and not the high-res
+observations.</p>
+</dd>
+<dt>hr_exo_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should be included
+in the high-resolution observation but not expected to be
+output from the generative model. An example is high-res
+topography that is to be injected mid-network.</p>
+</dd>
+</dl>
+</li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Additional keyword arguments for BatchQueue and / or Samplers.
+This can vary depending on the type of BatchQueue / Sampler
+given to the Factory. For example, to build a
+<code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandlerDC</span></code>
+object (data-centric batch handler) we use a queue and sampler
+which takes spatial and temporal weight / bin arguments used to
+determine how to weigh spatiotemporal regions when sampling.
+Using
+<code class="xref py py-class docutils literal notranslate"><span class="pre">ConditionalBatchQueue</span></code>
+will result in arguments for computing moments from batches and
+how to pad batch data to enable these calculations.</p></li>
+<li><p><strong>sample_shape</strong> (<em>tuple</em>) – Size of arrays to sample from the high-res data. The sample shape
+for the low-res sampler will be determined from the enhancement
+factors.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.check_enhancement_factors" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.check_enhancement_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_enhancement_factors</span></code></a>()</p></td>
+<td><p>Make sure each DualSampler has the same enhancment factors and they match those provided to the BatchQueue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.check_features" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.check_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_features</span></code></a>()</p></td>
+<td><p>Make sure all samplers have the same sets of features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.check_shared_attr" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.enqueue_batch" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.enqueue_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batch</span></code></a>()</p></td>
+<td><p>Build batch and send to queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.enqueue_batches" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.enqueue_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batches</span></code></a>()</p></td>
+<td><p>Callback function for queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_batch" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_batch</span></code></a>()</p></td>
+<td><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through <code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_container_index" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_container_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_container_index</span></code></a>()</p></td>
+<td><p>Get random container index based on weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_queue" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_queue</span></code></a>()</p></td>
+<td><p>Return FIFO queue for storing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_random_container" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_random_container"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_random_container</span></code></a>()</p></td>
+<td><p>Get random container based on container weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.init_samplers" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.init_samplers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_samplers</span></code></a>(train_containers, ...)</p></td>
+<td><p>Initialize samplers from given data containers.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.log_queue_info" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.log_queue_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_queue_info</span></code></a>()</p></td>
+<td><p>Log info about queue size.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.post_init_log" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.post_proc" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.post_proc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_proc</span></code></a>(samples)</p></td>
+<td><p>Performs some post proc on dequeued samples before sending out for training.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.preflight" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run checks before kicking off the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.sample_batch" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.sample_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_batch</span></code></a>()</p></td>
+<td><p>Get random sampler from collection and return a batch of samples from that sampler.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.start" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start</span></code></a>()</p></td>
+<td><p>Start the val data batch queue in addition to the train batch queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.stop" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop</span></code></a>()</p></td>
+<td><p>Stop the val data batch queue in addition to the train batch queue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.transform" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(samples[, smoothing, smoothing_ignore])</p></td>
+<td><p>Perform smoothing if requested.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.wrap" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.container_weights" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.data" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.features" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.hr_shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Shape of high resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.lr_shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Shape of low resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.queue_shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.queue_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_shape</span></code></a></p></td>
+<td><p>Shape of objects stored in the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.queue_thread" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.queue_thread"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_thread</span></code></a></p></td>
+<td><p>Get new queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.running" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.running"><code class="xref py py-obj docutils literal notranslate"><span class="pre">running</span></code></a></p></td>
+<td><p>Boolean to check whether to keep enqueueing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of Batch(low_res, high_res)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.SAMPLER">
+<span class="sig-name descname"><span class="pre">SAMPLER</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.SAMPLER" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.samplers.cc.DualSamplerCC.html#sup3r.preprocessing.samplers.cc.DualSamplerCC" title="sup3r.preprocessing.samplers.cc.DualSamplerCC"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualSamplerCC</span></code></a></p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.TRAIN_QUEUE">
+<span class="sig-name descname"><span class="pre">TRAIN_QUEUE</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.TRAIN_QUEUE" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualBatchQueue</span></code></a></p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.VAL_QUEUE">
+<span class="sig-name descname"><span class="pre">VAL_QUEUE</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.VAL_QUEUE" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualBatchQueue</span></code></a></p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.check_enhancement_factors">
+<span class="sig-name descname"><span class="pre">check_enhancement_factors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.check_enhancement_factors" title="Link to this definition">#</a></dt>
+<dd><p>Make sure each DualSampler has the same enhancment factors and they
+match those provided to the BatchQueue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.check_features">
+<span class="sig-name descname"><span class="pre">check_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.check_features" title="Link to this definition">#</a></dt>
+<dd><p>Make sure all samplers have the same sets of features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.wrap" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.enqueue_batch">
+<span class="sig-name descname"><span class="pre">enqueue_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.enqueue_batch" title="Link to this definition">#</a></dt>
+<dd><p>Build batch and send to queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.enqueue_batches">
+<span class="sig-name descname"><span class="pre">enqueue_batches</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.enqueue_batches" title="Link to this definition">#</a></dt>
+<dd><p>Callback function for queue thread. While training, the queue is
+checked for empty spots and filled. In the training thread, batches are
+removed from the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_batch">
+<span class="sig-name descname"><span class="pre">get_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through
+<code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_container_index">
+<span class="sig-name descname"><span class="pre">get_container_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_container_index" title="Link to this definition">#</a></dt>
+<dd><p>Get random container index based on weights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_queue">
+<span class="sig-name descname"><span class="pre">get_queue</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_queue" title="Link to this definition">#</a></dt>
+<dd><p>Return FIFO queue for storing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_random_container">
+<span class="sig-name descname"><span class="pre">get_random_container</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_random_container" title="Link to this definition">#</a></dt>
+<dd><p>Get random container based on container weights</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of high resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.init_samplers">
+<span class="sig-name descname"><span class="pre">init_samplers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_containers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_containers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampler_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.init_samplers" title="Link to this definition">#</a></dt>
+<dd><p>Initialize samplers from given data containers.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.log_queue_info">
+<span class="sig-name descname"><span class="pre">log_queue_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.log_queue_info" title="Link to this definition">#</a></dt>
+<dd><p>Log info about queue size.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of low resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.post_proc">
+<span class="sig-name descname"><span class="pre">post_proc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.post_proc" title="Link to this definition">#</a></dt>
+<dd><p>Performs some post proc on dequeued samples before sending out for
+training. Post processing can include coarsening on high-res data (if
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code> consists of <code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects and not
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> objects), smoothing, etc</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>Batch</strong> (<em>namedtuple</em>) – namedtuple with <cite>low_res</cite> and <cite>high_res</cite> attributes</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run checks before kicking off the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.queue_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.queue_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of objects stored in the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.queue_thread">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_thread</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.queue_thread" title="Link to this definition">#</a></dt>
+<dd><p>Get new queue thread.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.running">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">running</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.running" title="Link to this definition">#</a></dt>
+<dd><p>Boolean to check whether to keep enqueueing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.sample_batch">
+<span class="sig-name descname"><span class="pre">sample_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.sample_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get random sampler from collection and return a batch of samples
+from that sampler.</p>
+<p class="rubric">Notes</p>
+<p>These samples are wrapped in an <code class="docutils literal notranslate"><span class="pre">np.asarray</span></code> call, so they have been
+loaded into memory.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.start">
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.start" title="Link to this definition">#</a></dt>
+<dd><p>Start the val data batch queue in addition to the train batch
+queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.stop">
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.stop" title="Link to this definition">#</a></dt>
+<dd><p>Stop the val data batch queue in addition to the train batch
+queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.transform">
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_ignore</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.transform" title="Link to this definition">#</a></dt>
+<dd><p>Perform smoothing if requested.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This does not include temporal or spatial coarsening like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">SingleBatchQueue</span></code></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
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+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.SAMPLER"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.SAMPLER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.TRAIN_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.TRAIN_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.VAL_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.VAL_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.check_features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.container_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.data"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_container_index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_queue"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_random_container"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.hr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.init_samplers"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.init_samplers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.log_queue_info"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.lr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.post_init_log"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.post_proc"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.preflight"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.queue_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.queue_thread"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.running"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.sample_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.start"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.stop"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.transform"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.wrap"><code class="docutils literal notranslate"><span class="pre">BatchHandlerCC.wrap()</span></code></a></li>
+</ul>
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+  <section id="sup3r-preprocessing-batch-handlers-factory-batchhandlerfactory">
+<h1>sup3r.preprocessing.batch_handlers.factory.BatchHandlerFactory<a class="headerlink" href="#sup3r-preprocessing-batch-handlers-factory-batchhandlerfactory" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerFactory">
+<span class="sig-name descname"><span class="pre">BatchHandlerFactory</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">MainQueueClass</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">SamplerClass</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ValQueueClass</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'BatchHandler'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_handlers/factory.html#BatchHandlerFactory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerFactory" title="Link to this definition">#</a></dt>
+<dd><p>BatchHandler factory. Can build handlers from different queue classes
+and sampler classes. For example, to build a standard
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a> use
+<code class="xref py py-class docutils literal notranslate"><span class="pre">SingleBatchQueue</span></code> and
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code>. To build a
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualBatchHandler</span></code></a> use
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualBatchQueue</span></code> and
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code>. To build a
+<code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandlerDC</span></code> use a
+<code class="xref py py-class docutils literal notranslate"><span class="pre">BatchQueueDC</span></code>,
+<code class="xref py py-class docutils literal notranslate"><span class="pre">ValBatchQueueDC</span></code> and
+<code class="xref py py-class docutils literal notranslate"><span class="pre">SamplerDC</span></code></p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>(1) BatchHandlers include a queue for training samples and a queue for
+validation samples.
+(2) There is no need to generate “Spatial” batch handlers. Using
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects with a single time step in the sample shape will
+produce batches without a time dimension.</p>
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+    <h1>sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1</h1>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.ConditionalBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.ConditionalBatch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.ConditionalBatch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.ConditionalBatch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.ConditionalBatch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.ConditionalBatch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.ConditionalBatch.low_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.mask"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.ConditionalBatch.mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.output"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.ConditionalBatch.output</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.SAMPLER"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.SAMPLER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.TRAIN_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.TRAIN_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.VAL_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.VAL_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.check_features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.container_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.data"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_container_index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_queue"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_random_container"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.hr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.init_samplers"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.init_samplers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.log_queue_info"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.lr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.make_mask"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.make_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.make_output"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.make_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.post_init_log"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.post_proc"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.preflight"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.queue_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.queue_thread"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.running"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.sample_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.start"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.stop"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.transform"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.wrap"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-batch-handlers-factory-batchhandlermom1">
+<h1>sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1<a class="headerlink" href="#sup3r-preprocessing-batch-handlers-factory-batchhandlermom1" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">BatchHandlerMom1</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_containers</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_containers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_batches</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">means</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stds</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">queue_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'lazy'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_enhance_mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'constant'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lower_models</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">end_t_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1"><code class="xref py py-class docutils literal notranslate"><span class="pre">QueueMom1</span></code></a></p>
+<p>BatchHandler object built from two lists of
+<a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a> objects, one with
+training data and one with validation data. These lists will be used
+to initialize lists of class:<cite>Sampler</cite> objects that will then be used
+to build batches at run time.</p>
+<p class="rubric">Notes</p>
+<p>These lists of containers can contain data from the same underlying
+data source (e.g. CONUS WTK) (e.g. initialize train / val containers
+with different time period and / or regions, or they can be used to
+sample from completely different data sources (e.g. train on CONUS WTK
+while validating on Canada WTK).</p>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code>, <a class="reference internal" href="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">AbstractBatchQueue</span></code></a>, <code class="xref py py-class docutils literal notranslate"><span class="pre">StatsCollection</span></code></p>
+</div>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>train_containers</strong> (<em>List[Container]</em>) – List of objects with a <cite>.data</cite> attribute, which will be used
+to initialize Sampler objects and then used to initialize a
+batch queue of training data. The data can be a Sup3rX or
+Sup3rDataset object.</p></li>
+<li><p><strong>val_containers</strong> (<em>List[Container]</em>) – List of objects with a <cite>.data</cite> attribute, which will be used
+to initialize Sampler objects and then used to initialize a
+batch queue of validation data. The data can be a Sup3rX or a
+Sup3rDataset object.</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of observations / samples in a batch</p></li>
+<li><p><strong>n_batches</strong> (<em>int</em>) – Number of batches in an epoch, this sets the iteration limit for
+this object.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes is to be enhanced.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Integer factor by which the temporal axes is to be enhanced.</p></li>
+<li><p><strong>means</strong> (<em>str | dict | None</em>) – Usually a file path for loading / saving results, or None for
+just calculating stats and not saving. Can also be a dict.</p></li>
+<li><p><strong>stds</strong> (<em>str | dict | None</em>) – Usually a file path for loading / saving results, or None for
+just calculating stats and not saving. Can also be a dict.</p></li>
+<li><p><strong>queue_cap</strong> (<em>int</em>) – Maximum number of batches the batch queue can store.</p></li>
+<li><p><strong>transform_kwargs</strong> (<em>Union[Dict, None]</em>) – Dictionary of kwargs to be passed to <cite>self.transform</cite>. This method
+performs smoothing / coarsening.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Loading mode. Default is ‘lazy’, which only loads data into memory
+as batches are queued. ‘eager’ will load all data into memory right
+away.</p></li>
+<li><p><strong>feature_sets</strong> (<em>Optional[dict]</em>) – Optional dictionary describing how the full set of features is
+split between <code class="docutils literal notranslate"><span class="pre">lr_only_features</span></code> and <code class="docutils literal notranslate"><span class="pre">hr_exo_features</span></code>.</p>
+<dl class="simple">
+<dt>features<span class="classifier">list | tuple</span></dt><dd><p>List of full set of features to use for sampling. If no entry
+is provided then all data_vars from data will be used.</p>
+</dd>
+<dt>lr_only_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should only be
+included in the low-res training set and not the high-res
+observations.</p>
+</dd>
+<dt>hr_exo_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should be included
+in the high-resolution observation but not expected to be
+output from the generative model. An example is high-res
+topography that is to be injected mid-network.</p>
+</dd>
+</dl>
+</li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Keyword arguments for parent class</p></li>
+<li><p><strong>sample_shape</strong> (<em>tuple</em>) – Size of arrays to sample from the contained data.</p></li>
+<li><p><strong>time_enhance_mode</strong> (<em>str</em>) – [constant, linear]
+Method to enhance temporally when constructing subfilter. At every
+temporal location, a low-res temporal data is subtracted from the
+high-res temporal data predicted.  constant will assume that the
+low-res temporal data is constant between landmarks.  linear will
+linearly interpolate between landmarks to generate the low-res data
+to remove from the high-res.</p></li>
+<li><p><strong>lower_models</strong> (<em>Dict[int, Sup3rCondMom] | None</em>) – Dictionary of models that predict lower moments. For example, if
+this queue is part of a handler to estimate the 3rd moment
+<cite>lower_models</cite> could include models that estimate the 1st and 2nd
+moments. These lower moments can be required in higher order moment
+calculations.</p></li>
+<li><p><strong>s_padding</strong> (<em>int | None</em>) – Width of spatial padding to predict only middle part. If None, no
+padding is used</p></li>
+<li><p><strong>t_padding</strong> (<em>int | None</em>) – Width of temporal padding to predict only middle part. If None, no
+padding is used</p></li>
+<li><p><strong>end_t_padding</strong> (<em>bool | False</em>) – Zero pad the end of temporal space.  Ensures that loss is
+calculated only if snapshot is surrounded by temporal landmarks.
+False by default</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.check_enhancement_factors" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.check_enhancement_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_enhancement_factors</span></code></a>()</p></td>
+<td><p>Make sure the enhancement factors evenly divide the sample_shape.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.check_features" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.check_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_features</span></code></a>()</p></td>
+<td><p>Make sure all samplers have the same sets of features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.check_shared_attr" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.enqueue_batch" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.enqueue_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batch</span></code></a>()</p></td>
+<td><p>Build batch and send to queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.enqueue_batches" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.enqueue_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batches</span></code></a>()</p></td>
+<td><p>Callback function for queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_batch" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_batch</span></code></a>()</p></td>
+<td><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through <code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_container_index" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_container_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_container_index</span></code></a>()</p></td>
+<td><p>Get random container index based on weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_queue" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_queue</span></code></a>()</p></td>
+<td><p>Return FIFO queue for storing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_random_container" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_random_container"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_random_container</span></code></a>()</p></td>
+<td><p>Get random container based on container weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.init_samplers" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.init_samplers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_samplers</span></code></a>(train_containers, ...)</p></td>
+<td><p>Initialize samplers from given data containers.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.log_queue_info" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.log_queue_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_queue_info</span></code></a>()</p></td>
+<td><p>Log info about queue size.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.make_mask" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.make_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_mask</span></code></a>(high_res)</p></td>
+<td><p>Make mask for output.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.make_output" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.make_output"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_output</span></code></a>(samples)</p></td>
+<td><p>For the 1st moment the output is simply the high_res</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.post_init_log" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.post_proc" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.post_proc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_proc</span></code></a>(samples)</p></td>
+<td><p>Returns normalized collection of samples / observations along with mask and target output for conditional moment estimation.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.preflight" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run checks before kicking off the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.sample_batch" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.sample_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_batch</span></code></a>()</p></td>
+<td><p>Get random sampler from collection and return a batch of samples from that sampler.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.start" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start</span></code></a>()</p></td>
+<td><p>Start the val data batch queue in addition to the train batch queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.stop" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop</span></code></a>()</p></td>
+<td><p>Stop the val data batch queue in addition to the train batch queue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.transform" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(samples[, smoothing, ...])</p></td>
+<td><p>Coarsen high res data to get corresponding low res batch.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.wrap" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.container_weights" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.data" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.features" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.hr_shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Shape of high resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.lr_shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Shape of low resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.queue_shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.queue_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_shape</span></code></a></p></td>
+<td><p>Shape of objects stored in the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.queue_thread" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.queue_thread"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_thread</span></code></a></p></td>
+<td><p>Get new queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.running" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.running"><code class="xref py py-obj docutils literal notranslate"><span class="pre">running</span></code></a></p></td>
+<td><p>Boolean to check whether to keep enqueueing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of Batch(low_res, high_res)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ConditionalBatch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of ConditionalBatch(low_res, high_res, output, mask)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.mask">
+<span class="sig-name descname"><span class="pre">mask</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.mask" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 3</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.output">
+<span class="sig-name descname"><span class="pre">output</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.output" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 2</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.SAMPLER">
+<span class="sig-name descname"><span class="pre">SAMPLER</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.SAMPLER" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler" title="sup3r.preprocessing.samplers.base.Sampler"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code></a></p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.TRAIN_QUEUE">
+<span class="sig-name descname"><span class="pre">TRAIN_QUEUE</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.TRAIN_QUEUE" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1"><code class="xref py py-class docutils literal notranslate"><span class="pre">QueueMom1</span></code></a></p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.VAL_QUEUE">
+<span class="sig-name descname"><span class="pre">VAL_QUEUE</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.VAL_QUEUE" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1"><code class="xref py py-class docutils literal notranslate"><span class="pre">QueueMom1</span></code></a></p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.check_enhancement_factors">
+<span class="sig-name descname"><span class="pre">check_enhancement_factors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.check_enhancement_factors" title="Link to this definition">#</a></dt>
+<dd><p>Make sure the enhancement factors evenly divide the sample_shape.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.check_features">
+<span class="sig-name descname"><span class="pre">check_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.check_features" title="Link to this definition">#</a></dt>
+<dd><p>Make sure all samplers have the same sets of features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.wrap" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.enqueue_batch">
+<span class="sig-name descname"><span class="pre">enqueue_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.enqueue_batch" title="Link to this definition">#</a></dt>
+<dd><p>Build batch and send to queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.enqueue_batches">
+<span class="sig-name descname"><span class="pre">enqueue_batches</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.enqueue_batches" title="Link to this definition">#</a></dt>
+<dd><p>Callback function for queue thread. While training, the queue is
+checked for empty spots and filled. In the training thread, batches are
+removed from the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_batch">
+<span class="sig-name descname"><span class="pre">get_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through
+<code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_container_index">
+<span class="sig-name descname"><span class="pre">get_container_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_container_index" title="Link to this definition">#</a></dt>
+<dd><p>Get random container index based on weights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_queue">
+<span class="sig-name descname"><span class="pre">get_queue</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_queue" title="Link to this definition">#</a></dt>
+<dd><p>Return FIFO queue for storing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_random_container">
+<span class="sig-name descname"><span class="pre">get_random_container</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_random_container" title="Link to this definition">#</a></dt>
+<dd><p>Get random container based on container weights</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of high resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.init_samplers">
+<span class="sig-name descname"><span class="pre">init_samplers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_containers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_containers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampler_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.init_samplers" title="Link to this definition">#</a></dt>
+<dd><p>Initialize samplers from given data containers.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.log_queue_info">
+<span class="sig-name descname"><span class="pre">log_queue_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.log_queue_info" title="Link to this definition">#</a></dt>
+<dd><p>Log info about queue size.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of low resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.make_mask">
+<span class="sig-name descname"><span class="pre">make_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.make_mask" title="Link to this definition">#</a></dt>
+<dd><p>Make mask for output. This is used to ensure consistency when
+training conditional moments.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Consider the case of learning E(HR|LR) where HR is the high_res and LR
+is the low_res. In theory, the conditional moment estimation works if
+the full LR is passed as input and predicts the full HR. In practice,
+only the LR data that overlaps and surrounds the HR data is useful, ie
+E(HR|LR) = E(HR|LR_nei) where LR_nei is the LR data that surrounds the
+HR data. Physically, this is equivalent to saying that data far away
+from a region of interest does not matter.  This allows learning the
+conditional moments on spatial and temporal chunks only if one
+restricts the high_res output as being overlapped and surrounded by the
+input low_res.  The role of the mask is to ensure that the input
+low_res always surrounds the output high_res.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>mask</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.make_output">
+<span class="sig-name descname"><span class="pre">make_output</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.make_output" title="Link to this definition">#</a></dt>
+<dd><p>For the 1st moment the output is simply the high_res</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.post_proc">
+<span class="sig-name descname"><span class="pre">post_proc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.post_proc" title="Link to this definition">#</a></dt>
+<dd><p>Returns normalized collection of samples / observations along with
+mask and target output for conditional moment estimation. Performs
+coarsening on high-res data if <code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code> consists of
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects and not <code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> objects</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>namedtuple</em> – Named tuple with <cite>low_res</cite>, <cite>high_res</cite>, <cite>mask</cite>, and <cite>output</cite>
+attributes</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run checks before kicking off the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.queue_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.queue_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of objects stored in the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.queue_thread">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_thread</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.queue_thread" title="Link to this definition">#</a></dt>
+<dd><p>Get new queue thread.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.running">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">running</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.running" title="Link to this definition">#</a></dt>
+<dd><p>Boolean to check whether to keep enqueueing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.sample_batch">
+<span class="sig-name descname"><span class="pre">sample_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.sample_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get random sampler from collection and return a batch of samples
+from that sampler.</p>
+<p class="rubric">Notes</p>
+<p>These samples are wrapped in an <code class="docutils literal notranslate"><span class="pre">np.asarray</span></code> call, so they have been
+loaded into memory.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.start">
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.start" title="Link to this definition">#</a></dt>
+<dd><p>Start the val data batch queue in addition to the train batch
+queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.stop">
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.stop" title="Link to this definition">#</a></dt>
+<dd><p>Stop the val data batch queue in addition to the train batch
+queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.transform">
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_ignore</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_coarsening_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'subsample'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.transform" title="Link to this definition">#</a></dt>
+<dd><p>Coarsen high res data to get corresponding low res batch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samples</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – High resolution batch of samples.
+4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>smoothing</strong> (<em>float | None</em>) – Standard deviation to use for gaussian filtering of the coarse
+data. This can be tuned by matching the kinetic energy of a low
+resolution simulation with the kinetic energy of a coarsened and
+smoothed high resolution simulation. If None no smoothing is
+performed.</p></li>
+<li><p><strong>smoothing_ignore</strong> (<em>list | None</em>) – List of features to ignore for the smoothing filter. None will
+smooth all features if smoothing kwarg is not None</p></li>
+<li><p><strong>temporal_coarsening_method</strong> (<em>str</em>) – Method to use for temporal coarsening. Can be subsample, average,
+min, max, or total</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>low_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.ConditionalBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.ConditionalBatch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.ConditionalBatch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.ConditionalBatch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.ConditionalBatch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.ConditionalBatch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.ConditionalBatch.low_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.mask"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.ConditionalBatch.mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.output"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.ConditionalBatch.output</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.SAMPLER"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.SAMPLER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.TRAIN_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.TRAIN_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.VAL_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.VAL_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.check_features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.container_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.data"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_container_index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_queue"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_random_container"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.hr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.init_samplers"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.init_samplers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.log_queue_info"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.lr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.make_mask"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.make_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.make_output"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.make_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.post_init_log"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.post_proc"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.preflight"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.queue_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.queue_thread"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.running"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.sample_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.start"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.stop"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.transform"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.wrap"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1.wrap()</span></code></a></li>
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+    <h1>sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.ConditionalBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.ConditionalBatch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.ConditionalBatch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.ConditionalBatch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.ConditionalBatch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.ConditionalBatch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.ConditionalBatch.low_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.mask"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.ConditionalBatch.mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.output"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.ConditionalBatch.output</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.SAMPLER"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.SAMPLER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.TRAIN_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.TRAIN_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.VAL_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.VAL_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.check_features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.container_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.data"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_container_index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_queue"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_random_container"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.hr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.init_samplers"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.init_samplers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.log_queue_info"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.lr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.make_mask"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.make_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.make_output"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.make_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.post_init_log"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.post_proc"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.preflight"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.queue_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.queue_thread"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.running"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.sample_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.start"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.stop"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.transform"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.wrap"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-batch-handlers-factory-batchhandlermom1sf">
+<h1>sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF<a class="headerlink" href="#sup3r-preprocessing-batch-handlers-factory-batchhandlermom1sf" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">BatchHandlerMom1SF</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_containers</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_containers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_batches</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">means</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stds</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">queue_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'lazy'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_enhance_mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'constant'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lower_models</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">end_t_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF"><code class="xref py py-class docutils literal notranslate"><span class="pre">QueueMom1SF</span></code></a></p>
+<p>BatchHandler object built from two lists of
+<a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a> objects, one with
+training data and one with validation data. These lists will be used
+to initialize lists of class:<cite>Sampler</cite> objects that will then be used
+to build batches at run time.</p>
+<p class="rubric">Notes</p>
+<p>These lists of containers can contain data from the same underlying
+data source (e.g. CONUS WTK) (e.g. initialize train / val containers
+with different time period and / or regions, or they can be used to
+sample from completely different data sources (e.g. train on CONUS WTK
+while validating on Canada WTK).</p>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code>, <a class="reference internal" href="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">AbstractBatchQueue</span></code></a>, <code class="xref py py-class docutils literal notranslate"><span class="pre">StatsCollection</span></code></p>
+</div>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>train_containers</strong> (<em>List[Container]</em>) – List of objects with a <cite>.data</cite> attribute, which will be used
+to initialize Sampler objects and then used to initialize a
+batch queue of training data. The data can be a Sup3rX or
+Sup3rDataset object.</p></li>
+<li><p><strong>val_containers</strong> (<em>List[Container]</em>) – List of objects with a <cite>.data</cite> attribute, which will be used
+to initialize Sampler objects and then used to initialize a
+batch queue of validation data. The data can be a Sup3rX or a
+Sup3rDataset object.</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of observations / samples in a batch</p></li>
+<li><p><strong>n_batches</strong> (<em>int</em>) – Number of batches in an epoch, this sets the iteration limit for
+this object.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes is to be enhanced.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Integer factor by which the temporal axes is to be enhanced.</p></li>
+<li><p><strong>means</strong> (<em>str | dict | None</em>) – Usually a file path for loading / saving results, or None for
+just calculating stats and not saving. Can also be a dict.</p></li>
+<li><p><strong>stds</strong> (<em>str | dict | None</em>) – Usually a file path for loading / saving results, or None for
+just calculating stats and not saving. Can also be a dict.</p></li>
+<li><p><strong>queue_cap</strong> (<em>int</em>) – Maximum number of batches the batch queue can store.</p></li>
+<li><p><strong>transform_kwargs</strong> (<em>Union[Dict, None]</em>) – Dictionary of kwargs to be passed to <cite>self.transform</cite>. This method
+performs smoothing / coarsening.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Loading mode. Default is ‘lazy’, which only loads data into memory
+as batches are queued. ‘eager’ will load all data into memory right
+away.</p></li>
+<li><p><strong>feature_sets</strong> (<em>Optional[dict]</em>) – Optional dictionary describing how the full set of features is
+split between <code class="docutils literal notranslate"><span class="pre">lr_only_features</span></code> and <code class="docutils literal notranslate"><span class="pre">hr_exo_features</span></code>.</p>
+<dl class="simple">
+<dt>features<span class="classifier">list | tuple</span></dt><dd><p>List of full set of features to use for sampling. If no entry
+is provided then all data_vars from data will be used.</p>
+</dd>
+<dt>lr_only_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should only be
+included in the low-res training set and not the high-res
+observations.</p>
+</dd>
+<dt>hr_exo_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should be included
+in the high-resolution observation but not expected to be
+output from the generative model. An example is high-res
+topography that is to be injected mid-network.</p>
+</dd>
+</dl>
+</li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Keyword arguments for parent class</p></li>
+<li><p><strong>sample_shape</strong> (<em>tuple</em>) – Size of arrays to sample from the contained data.</p></li>
+<li><p><strong>time_enhance_mode</strong> (<em>str</em>) – [constant, linear]
+Method to enhance temporally when constructing subfilter. At every
+temporal location, a low-res temporal data is subtracted from the
+high-res temporal data predicted.  constant will assume that the
+low-res temporal data is constant between landmarks.  linear will
+linearly interpolate between landmarks to generate the low-res data
+to remove from the high-res.</p></li>
+<li><p><strong>lower_models</strong> (<em>Dict[int, Sup3rCondMom] | None</em>) – Dictionary of models that predict lower moments. For example, if
+this queue is part of a handler to estimate the 3rd moment
+<cite>lower_models</cite> could include models that estimate the 1st and 2nd
+moments. These lower moments can be required in higher order moment
+calculations.</p></li>
+<li><p><strong>s_padding</strong> (<em>int | None</em>) – Width of spatial padding to predict only middle part. If None, no
+padding is used</p></li>
+<li><p><strong>t_padding</strong> (<em>int | None</em>) – Width of temporal padding to predict only middle part. If None, no
+padding is used</p></li>
+<li><p><strong>end_t_padding</strong> (<em>bool | False</em>) – Zero pad the end of temporal space.  Ensures that loss is
+calculated only if snapshot is surrounded by temporal landmarks.
+False by default</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.check_enhancement_factors" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.check_enhancement_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_enhancement_factors</span></code></a>()</p></td>
+<td><p>Make sure the enhancement factors evenly divide the sample_shape.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.check_features" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.check_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_features</span></code></a>()</p></td>
+<td><p>Make sure all samplers have the same sets of features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.check_shared_attr" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.enqueue_batch" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.enqueue_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batch</span></code></a>()</p></td>
+<td><p>Build batch and send to queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.enqueue_batches" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.enqueue_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batches</span></code></a>()</p></td>
+<td><p>Callback function for queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_batch" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_batch</span></code></a>()</p></td>
+<td><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through <code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_container_index" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_container_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_container_index</span></code></a>()</p></td>
+<td><p>Get random container index based on weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_queue" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_queue</span></code></a>()</p></td>
+<td><p>Return FIFO queue for storing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_random_container" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_random_container"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_random_container</span></code></a>()</p></td>
+<td><p>Get random container based on container weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.init_samplers" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.init_samplers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_samplers</span></code></a>(train_containers, ...)</p></td>
+<td><p>Initialize samplers from given data containers.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.log_queue_info" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.log_queue_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_queue_info</span></code></a>()</p></td>
+<td><p>Log info about queue size.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.make_mask" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.make_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_mask</span></code></a>(high_res)</p></td>
+<td><p>Make mask for output.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.make_output" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.make_output"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_output</span></code></a>(samples)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.post_init_log" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.post_proc" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.post_proc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_proc</span></code></a>(samples)</p></td>
+<td><p>Returns normalized collection of samples / observations along with mask and target output for conditional moment estimation.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.preflight" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run checks before kicking off the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.sample_batch" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.sample_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_batch</span></code></a>()</p></td>
+<td><p>Get random sampler from collection and return a batch of samples from that sampler.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.start" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start</span></code></a>()</p></td>
+<td><p>Start the val data batch queue in addition to the train batch queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.stop" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop</span></code></a>()</p></td>
+<td><p>Stop the val data batch queue in addition to the train batch queue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.transform" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(samples[, smoothing, ...])</p></td>
+<td><p>Coarsen high res data to get corresponding low res batch.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.wrap" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.container_weights" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.data" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.features" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.hr_shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Shape of high resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.lr_shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Shape of low resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.queue_shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.queue_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_shape</span></code></a></p></td>
+<td><p>Shape of objects stored in the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.queue_thread" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.queue_thread"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_thread</span></code></a></p></td>
+<td><p>Get new queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.running" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.running"><code class="xref py py-obj docutils literal notranslate"><span class="pre">running</span></code></a></p></td>
+<td><p>Boolean to check whether to keep enqueueing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of Batch(low_res, high_res)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ConditionalBatch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of ConditionalBatch(low_res, high_res, output, mask)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.mask">
+<span class="sig-name descname"><span class="pre">mask</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.mask" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 3</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.output">
+<span class="sig-name descname"><span class="pre">output</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.output" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 2</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.SAMPLER">
+<span class="sig-name descname"><span class="pre">SAMPLER</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.SAMPLER" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler" title="sup3r.preprocessing.samplers.base.Sampler"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code></a></p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.TRAIN_QUEUE">
+<span class="sig-name descname"><span class="pre">TRAIN_QUEUE</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.TRAIN_QUEUE" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF"><code class="xref py py-class docutils literal notranslate"><span class="pre">QueueMom1SF</span></code></a></p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.VAL_QUEUE">
+<span class="sig-name descname"><span class="pre">VAL_QUEUE</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.VAL_QUEUE" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF"><code class="xref py py-class docutils literal notranslate"><span class="pre">QueueMom1SF</span></code></a></p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.check_enhancement_factors">
+<span class="sig-name descname"><span class="pre">check_enhancement_factors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.check_enhancement_factors" title="Link to this definition">#</a></dt>
+<dd><p>Make sure the enhancement factors evenly divide the sample_shape.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.check_features">
+<span class="sig-name descname"><span class="pre">check_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.check_features" title="Link to this definition">#</a></dt>
+<dd><p>Make sure all samplers have the same sets of features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.wrap" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.enqueue_batch">
+<span class="sig-name descname"><span class="pre">enqueue_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.enqueue_batch" title="Link to this definition">#</a></dt>
+<dd><p>Build batch and send to queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.enqueue_batches">
+<span class="sig-name descname"><span class="pre">enqueue_batches</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.enqueue_batches" title="Link to this definition">#</a></dt>
+<dd><p>Callback function for queue thread. While training, the queue is
+checked for empty spots and filled. In the training thread, batches are
+removed from the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_batch">
+<span class="sig-name descname"><span class="pre">get_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through
+<code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_container_index">
+<span class="sig-name descname"><span class="pre">get_container_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_container_index" title="Link to this definition">#</a></dt>
+<dd><p>Get random container index based on weights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_queue">
+<span class="sig-name descname"><span class="pre">get_queue</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_queue" title="Link to this definition">#</a></dt>
+<dd><p>Return FIFO queue for storing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_random_container">
+<span class="sig-name descname"><span class="pre">get_random_container</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_random_container" title="Link to this definition">#</a></dt>
+<dd><p>Get random container based on container weights</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of high resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.init_samplers">
+<span class="sig-name descname"><span class="pre">init_samplers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_containers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_containers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampler_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.init_samplers" title="Link to this definition">#</a></dt>
+<dd><p>Initialize samplers from given data containers.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.log_queue_info">
+<span class="sig-name descname"><span class="pre">log_queue_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.log_queue_info" title="Link to this definition">#</a></dt>
+<dd><p>Log info about queue size.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of low resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.make_mask">
+<span class="sig-name descname"><span class="pre">make_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.make_mask" title="Link to this definition">#</a></dt>
+<dd><p>Make mask for output. This is used to ensure consistency when
+training conditional moments.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Consider the case of learning E(HR|LR) where HR is the high_res and LR
+is the low_res. In theory, the conditional moment estimation works if
+the full LR is passed as input and predicts the full HR. In practice,
+only the LR data that overlaps and surrounds the HR data is useful, ie
+E(HR|LR) = E(HR|LR_nei) where LR_nei is the LR data that surrounds the
+HR data. Physically, this is equivalent to saying that data far away
+from a region of interest does not matter.  This allows learning the
+conditional moments on spatial and temporal chunks only if one
+restricts the high_res output as being overlapped and surrounded by the
+input low_res.  The role of the mask is to ensure that the input
+low_res always surrounds the output high_res.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>mask</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.make_output">
+<span class="sig-name descname"><span class="pre">make_output</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.make_output" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>SF</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)
+SF is subfilter, HR is high-res and LR is low-res
+SF = HR - LR</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.post_proc">
+<span class="sig-name descname"><span class="pre">post_proc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.post_proc" title="Link to this definition">#</a></dt>
+<dd><p>Returns normalized collection of samples / observations along with
+mask and target output for conditional moment estimation. Performs
+coarsening on high-res data if <code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code> consists of
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects and not <code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> objects</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>namedtuple</em> – Named tuple with <cite>low_res</cite>, <cite>high_res</cite>, <cite>mask</cite>, and <cite>output</cite>
+attributes</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run checks before kicking off the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.queue_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.queue_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of objects stored in the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.queue_thread">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_thread</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.queue_thread" title="Link to this definition">#</a></dt>
+<dd><p>Get new queue thread.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.running">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">running</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.running" title="Link to this definition">#</a></dt>
+<dd><p>Boolean to check whether to keep enqueueing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.sample_batch">
+<span class="sig-name descname"><span class="pre">sample_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.sample_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get random sampler from collection and return a batch of samples
+from that sampler.</p>
+<p class="rubric">Notes</p>
+<p>These samples are wrapped in an <code class="docutils literal notranslate"><span class="pre">np.asarray</span></code> call, so they have been
+loaded into memory.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.start">
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.start" title="Link to this definition">#</a></dt>
+<dd><p>Start the val data batch queue in addition to the train batch
+queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.stop">
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.stop" title="Link to this definition">#</a></dt>
+<dd><p>Stop the val data batch queue in addition to the train batch
+queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.transform">
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_ignore</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_coarsening_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'subsample'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.transform" title="Link to this definition">#</a></dt>
+<dd><p>Coarsen high res data to get corresponding low res batch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samples</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – High resolution batch of samples.
+4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>smoothing</strong> (<em>float | None</em>) – Standard deviation to use for gaussian filtering of the coarse
+data. This can be tuned by matching the kinetic energy of a low
+resolution simulation with the kinetic energy of a coarsened and
+smoothed high resolution simulation. If None no smoothing is
+performed.</p></li>
+<li><p><strong>smoothing_ignore</strong> (<em>list | None</em>) – List of features to ignore for the smoothing filter. None will
+smooth all features if smoothing kwarg is not None</p></li>
+<li><p><strong>temporal_coarsening_method</strong> (<em>str</em>) – Method to use for temporal coarsening. Can be subsample, average,
+min, max, or total</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>low_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
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+    <i class="fa-solid fa-list"></i> Contents
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+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.ConditionalBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.ConditionalBatch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.ConditionalBatch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.ConditionalBatch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.ConditionalBatch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.ConditionalBatch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.ConditionalBatch.low_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.mask"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.ConditionalBatch.mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.output"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.ConditionalBatch.output</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.SAMPLER"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.SAMPLER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.TRAIN_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.TRAIN_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.VAL_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.VAL_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.check_features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.container_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.data"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_container_index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_queue"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_random_container"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.hr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.init_samplers"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.init_samplers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.log_queue_info"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.lr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.make_mask"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.make_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.make_output"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.make_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.post_init_log"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.post_proc"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.preflight"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.queue_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.queue_thread"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.running"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.sample_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.start"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.stop"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.transform"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.wrap"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom1SF.wrap()</span></code></a></li>
+</ul>
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+    <h1>sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
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+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.ConditionalBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.ConditionalBatch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.ConditionalBatch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.ConditionalBatch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.ConditionalBatch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.ConditionalBatch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.ConditionalBatch.low_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.mask"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.ConditionalBatch.mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.output"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.ConditionalBatch.output</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.SAMPLER"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.SAMPLER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.TRAIN_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.TRAIN_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.VAL_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.VAL_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.check_features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.container_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.data"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_container_index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_queue"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_random_container"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.hr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.init_samplers"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.init_samplers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.log_queue_info"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.lr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.make_mask"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.make_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.make_output"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.make_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.post_init_log"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.post_proc"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.preflight"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.queue_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.queue_thread"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.running"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.sample_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.start"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.stop"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.transform"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.wrap"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
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+<div id="searchbox"></div>
+                <article class="bd-article">
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+  <section id="sup3r-preprocessing-batch-handlers-factory-batchhandlermom2">
+<h1>sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2<a class="headerlink" href="#sup3r-preprocessing-batch-handlers-factory-batchhandlermom2" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">BatchHandlerMom2</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_containers</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_containers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_batches</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">means</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stds</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">queue_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'lazy'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_enhance_mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'constant'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lower_models</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">end_t_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2"><code class="xref py py-class docutils literal notranslate"><span class="pre">QueueMom2</span></code></a></p>
+<p>BatchHandler object built from two lists of
+<a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a> objects, one with
+training data and one with validation data. These lists will be used
+to initialize lists of class:<cite>Sampler</cite> objects that will then be used
+to build batches at run time.</p>
+<p class="rubric">Notes</p>
+<p>These lists of containers can contain data from the same underlying
+data source (e.g. CONUS WTK) (e.g. initialize train / val containers
+with different time period and / or regions, or they can be used to
+sample from completely different data sources (e.g. train on CONUS WTK
+while validating on Canada WTK).</p>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code>, <a class="reference internal" href="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">AbstractBatchQueue</span></code></a>, <code class="xref py py-class docutils literal notranslate"><span class="pre">StatsCollection</span></code></p>
+</div>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>train_containers</strong> (<em>List[Container]</em>) – List of objects with a <cite>.data</cite> attribute, which will be used
+to initialize Sampler objects and then used to initialize a
+batch queue of training data. The data can be a Sup3rX or
+Sup3rDataset object.</p></li>
+<li><p><strong>val_containers</strong> (<em>List[Container]</em>) – List of objects with a <cite>.data</cite> attribute, which will be used
+to initialize Sampler objects and then used to initialize a
+batch queue of validation data. The data can be a Sup3rX or a
+Sup3rDataset object.</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of observations / samples in a batch</p></li>
+<li><p><strong>n_batches</strong> (<em>int</em>) – Number of batches in an epoch, this sets the iteration limit for
+this object.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes is to be enhanced.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Integer factor by which the temporal axes is to be enhanced.</p></li>
+<li><p><strong>means</strong> (<em>str | dict | None</em>) – Usually a file path for loading / saving results, or None for
+just calculating stats and not saving. Can also be a dict.</p></li>
+<li><p><strong>stds</strong> (<em>str | dict | None</em>) – Usually a file path for loading / saving results, or None for
+just calculating stats and not saving. Can also be a dict.</p></li>
+<li><p><strong>queue_cap</strong> (<em>int</em>) – Maximum number of batches the batch queue can store.</p></li>
+<li><p><strong>transform_kwargs</strong> (<em>Union[Dict, None]</em>) – Dictionary of kwargs to be passed to <cite>self.transform</cite>. This method
+performs smoothing / coarsening.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Loading mode. Default is ‘lazy’, which only loads data into memory
+as batches are queued. ‘eager’ will load all data into memory right
+away.</p></li>
+<li><p><strong>feature_sets</strong> (<em>Optional[dict]</em>) – Optional dictionary describing how the full set of features is
+split between <code class="docutils literal notranslate"><span class="pre">lr_only_features</span></code> and <code class="docutils literal notranslate"><span class="pre">hr_exo_features</span></code>.</p>
+<dl class="simple">
+<dt>features<span class="classifier">list | tuple</span></dt><dd><p>List of full set of features to use for sampling. If no entry
+is provided then all data_vars from data will be used.</p>
+</dd>
+<dt>lr_only_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should only be
+included in the low-res training set and not the high-res
+observations.</p>
+</dd>
+<dt>hr_exo_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should be included
+in the high-resolution observation but not expected to be
+output from the generative model. An example is high-res
+topography that is to be injected mid-network.</p>
+</dd>
+</dl>
+</li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Keyword arguments for parent class</p></li>
+<li><p><strong>sample_shape</strong> (<em>tuple</em>) – Size of arrays to sample from the contained data.</p></li>
+<li><p><strong>time_enhance_mode</strong> (<em>str</em>) – [constant, linear]
+Method to enhance temporally when constructing subfilter. At every
+temporal location, a low-res temporal data is subtracted from the
+high-res temporal data predicted.  constant will assume that the
+low-res temporal data is constant between landmarks.  linear will
+linearly interpolate between landmarks to generate the low-res data
+to remove from the high-res.</p></li>
+<li><p><strong>lower_models</strong> (<em>Dict[int, Sup3rCondMom] | None</em>) – Dictionary of models that predict lower moments. For example, if
+this queue is part of a handler to estimate the 3rd moment
+<cite>lower_models</cite> could include models that estimate the 1st and 2nd
+moments. These lower moments can be required in higher order moment
+calculations.</p></li>
+<li><p><strong>s_padding</strong> (<em>int | None</em>) – Width of spatial padding to predict only middle part. If None, no
+padding is used</p></li>
+<li><p><strong>t_padding</strong> (<em>int | None</em>) – Width of temporal padding to predict only middle part. If None, no
+padding is used</p></li>
+<li><p><strong>end_t_padding</strong> (<em>bool | False</em>) – Zero pad the end of temporal space.  Ensures that loss is
+calculated only if snapshot is surrounded by temporal landmarks.
+False by default</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.check_enhancement_factors" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.check_enhancement_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_enhancement_factors</span></code></a>()</p></td>
+<td><p>Make sure the enhancement factors evenly divide the sample_shape.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.check_features" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.check_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_features</span></code></a>()</p></td>
+<td><p>Make sure all samplers have the same sets of features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.check_shared_attr" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.enqueue_batch" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.enqueue_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batch</span></code></a>()</p></td>
+<td><p>Build batch and send to queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.enqueue_batches" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.enqueue_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batches</span></code></a>()</p></td>
+<td><p>Callback function for queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_batch" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_batch</span></code></a>()</p></td>
+<td><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through <code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_container_index" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_container_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_container_index</span></code></a>()</p></td>
+<td><p>Get random container index based on weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_queue" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_queue</span></code></a>()</p></td>
+<td><p>Return FIFO queue for storing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_random_container" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_random_container"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_random_container</span></code></a>()</p></td>
+<td><p>Get random container based on container weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.init_samplers" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.init_samplers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_samplers</span></code></a>(train_containers, ...)</p></td>
+<td><p>Initialize samplers from given data containers.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.log_queue_info" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.log_queue_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_queue_info</span></code></a>()</p></td>
+<td><p>Log info about queue size.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.make_mask" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.make_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_mask</span></code></a>(high_res)</p></td>
+<td><p>Make mask for output.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.make_output" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.make_output"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_output</span></code></a>(samples)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.post_init_log" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.post_proc" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.post_proc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_proc</span></code></a>(samples)</p></td>
+<td><p>Returns normalized collection of samples / observations along with mask and target output for conditional moment estimation.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.preflight" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run checks before kicking off the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.sample_batch" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.sample_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_batch</span></code></a>()</p></td>
+<td><p>Get random sampler from collection and return a batch of samples from that sampler.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.start" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start</span></code></a>()</p></td>
+<td><p>Start the val data batch queue in addition to the train batch queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.stop" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop</span></code></a>()</p></td>
+<td><p>Stop the val data batch queue in addition to the train batch queue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.transform" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(samples[, smoothing, ...])</p></td>
+<td><p>Coarsen high res data to get corresponding low res batch.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.wrap" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.container_weights" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.data" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.features" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.hr_shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Shape of high resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.lr_shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Shape of low resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.queue_shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.queue_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_shape</span></code></a></p></td>
+<td><p>Shape of objects stored in the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.queue_thread" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.queue_thread"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_thread</span></code></a></p></td>
+<td><p>Get new queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.running" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.running"><code class="xref py py-obj docutils literal notranslate"><span class="pre">running</span></code></a></p></td>
+<td><p>Boolean to check whether to keep enqueueing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of Batch(low_res, high_res)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ConditionalBatch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of ConditionalBatch(low_res, high_res, output, mask)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.mask">
+<span class="sig-name descname"><span class="pre">mask</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.mask" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 3</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.output">
+<span class="sig-name descname"><span class="pre">output</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.output" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 2</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.SAMPLER">
+<span class="sig-name descname"><span class="pre">SAMPLER</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.SAMPLER" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler" title="sup3r.preprocessing.samplers.base.Sampler"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code></a></p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.TRAIN_QUEUE">
+<span class="sig-name descname"><span class="pre">TRAIN_QUEUE</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.TRAIN_QUEUE" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2"><code class="xref py py-class docutils literal notranslate"><span class="pre">QueueMom2</span></code></a></p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.VAL_QUEUE">
+<span class="sig-name descname"><span class="pre">VAL_QUEUE</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.VAL_QUEUE" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2"><code class="xref py py-class docutils literal notranslate"><span class="pre">QueueMom2</span></code></a></p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.check_enhancement_factors">
+<span class="sig-name descname"><span class="pre">check_enhancement_factors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.check_enhancement_factors" title="Link to this definition">#</a></dt>
+<dd><p>Make sure the enhancement factors evenly divide the sample_shape.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.check_features">
+<span class="sig-name descname"><span class="pre">check_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.check_features" title="Link to this definition">#</a></dt>
+<dd><p>Make sure all samplers have the same sets of features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.wrap" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.enqueue_batch">
+<span class="sig-name descname"><span class="pre">enqueue_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.enqueue_batch" title="Link to this definition">#</a></dt>
+<dd><p>Build batch and send to queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.enqueue_batches">
+<span class="sig-name descname"><span class="pre">enqueue_batches</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.enqueue_batches" title="Link to this definition">#</a></dt>
+<dd><p>Callback function for queue thread. While training, the queue is
+checked for empty spots and filled. In the training thread, batches are
+removed from the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_batch">
+<span class="sig-name descname"><span class="pre">get_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through
+<code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_container_index">
+<span class="sig-name descname"><span class="pre">get_container_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_container_index" title="Link to this definition">#</a></dt>
+<dd><p>Get random container index based on weights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_queue">
+<span class="sig-name descname"><span class="pre">get_queue</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_queue" title="Link to this definition">#</a></dt>
+<dd><p>Return FIFO queue for storing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_random_container">
+<span class="sig-name descname"><span class="pre">get_random_container</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_random_container" title="Link to this definition">#</a></dt>
+<dd><p>Get random container based on container weights</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of high resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.init_samplers">
+<span class="sig-name descname"><span class="pre">init_samplers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_containers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_containers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampler_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.init_samplers" title="Link to this definition">#</a></dt>
+<dd><p>Initialize samplers from given data containers.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.log_queue_info">
+<span class="sig-name descname"><span class="pre">log_queue_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.log_queue_info" title="Link to this definition">#</a></dt>
+<dd><p>Log info about queue size.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of low resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.make_mask">
+<span class="sig-name descname"><span class="pre">make_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.make_mask" title="Link to this definition">#</a></dt>
+<dd><p>Make mask for output. This is used to ensure consistency when
+training conditional moments.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Consider the case of learning E(HR|LR) where HR is the high_res and LR
+is the low_res. In theory, the conditional moment estimation works if
+the full LR is passed as input and predicts the full HR. In practice,
+only the LR data that overlaps and surrounds the HR data is useful, ie
+E(HR|LR) = E(HR|LR_nei) where LR_nei is the LR data that surrounds the
+HR data. Physically, this is equivalent to saying that data far away
+from a region of interest does not matter.  This allows learning the
+conditional moments on spatial and temporal chunks only if one
+restricts the high_res output as being overlapped and surrounded by the
+input low_res.  The role of the mask is to ensure that the input
+low_res always surrounds the output high_res.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>mask</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.make_output">
+<span class="sig-name descname"><span class="pre">make_output</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.make_output" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>(HR - &lt;HR|LR&gt;)**2</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)
+HR is high-res and LR is low-res</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.post_proc">
+<span class="sig-name descname"><span class="pre">post_proc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.post_proc" title="Link to this definition">#</a></dt>
+<dd><p>Returns normalized collection of samples / observations along with
+mask and target output for conditional moment estimation. Performs
+coarsening on high-res data if <code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code> consists of
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects and not <code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> objects</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>namedtuple</em> – Named tuple with <cite>low_res</cite>, <cite>high_res</cite>, <cite>mask</cite>, and <cite>output</cite>
+attributes</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run checks before kicking off the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.queue_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.queue_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of objects stored in the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.queue_thread">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_thread</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.queue_thread" title="Link to this definition">#</a></dt>
+<dd><p>Get new queue thread.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.running">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">running</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.running" title="Link to this definition">#</a></dt>
+<dd><p>Boolean to check whether to keep enqueueing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.sample_batch">
+<span class="sig-name descname"><span class="pre">sample_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.sample_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get random sampler from collection and return a batch of samples
+from that sampler.</p>
+<p class="rubric">Notes</p>
+<p>These samples are wrapped in an <code class="docutils literal notranslate"><span class="pre">np.asarray</span></code> call, so they have been
+loaded into memory.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.start">
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.start" title="Link to this definition">#</a></dt>
+<dd><p>Start the val data batch queue in addition to the train batch
+queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.stop">
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.stop" title="Link to this definition">#</a></dt>
+<dd><p>Stop the val data batch queue in addition to the train batch
+queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.transform">
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_ignore</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_coarsening_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'subsample'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.transform" title="Link to this definition">#</a></dt>
+<dd><p>Coarsen high res data to get corresponding low res batch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samples</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – High resolution batch of samples.
+4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>smoothing</strong> (<em>float | None</em>) – Standard deviation to use for gaussian filtering of the coarse
+data. This can be tuned by matching the kinetic energy of a low
+resolution simulation with the kinetic energy of a coarsened and
+smoothed high resolution simulation. If None no smoothing is
+performed.</p></li>
+<li><p><strong>smoothing_ignore</strong> (<em>list | None</em>) – List of features to ignore for the smoothing filter. None will
+smooth all features if smoothing kwarg is not None</p></li>
+<li><p><strong>temporal_coarsening_method</strong> (<em>str</em>) – Method to use for temporal coarsening. Can be subsample, average,
+min, max, or total</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>low_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
+                  
+<div class="prev-next-area">
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+        <p class="prev-next-subtitle">previous</p>
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+  <div class="sidebar-secondary-item">
+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.ConditionalBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.ConditionalBatch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.ConditionalBatch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.ConditionalBatch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.ConditionalBatch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.ConditionalBatch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.ConditionalBatch.low_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.mask"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.ConditionalBatch.mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.output"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.ConditionalBatch.output</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.SAMPLER"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.SAMPLER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.TRAIN_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.TRAIN_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.VAL_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.VAL_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.check_features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.container_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.data"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_container_index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_queue"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_random_container"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.hr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.init_samplers"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.init_samplers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.log_queue_info"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.lr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.make_mask"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.make_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.make_output"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.make_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.post_init_log"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.post_proc"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.preflight"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.queue_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.queue_thread"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.running"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.sample_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.start"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.stop"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.transform"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.wrap"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2.wrap()</span></code></a></li>
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+    <h1>sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
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+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.ConditionalBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.ConditionalBatch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.ConditionalBatch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.ConditionalBatch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.ConditionalBatch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.ConditionalBatch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.ConditionalBatch.low_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.mask"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.ConditionalBatch.mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.output"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.ConditionalBatch.output</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.SAMPLER"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.SAMPLER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.TRAIN_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.TRAIN_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.VAL_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.VAL_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.check_features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.container_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.data"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_container_index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_queue"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_random_container"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.hr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.init_samplers"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.init_samplers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.log_queue_info"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.lr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.make_mask"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.make_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.make_output"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.make_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.post_init_log"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.post_proc"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.preflight"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.queue_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.queue_thread"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.running"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.sample_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.start"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.stop"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.transform"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.wrap"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.wrap()</span></code></a></li>
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+  <section id="sup3r-preprocessing-batch-handlers-factory-batchhandlermom2sep">
+<h1>sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep<a class="headerlink" href="#sup3r-preprocessing-batch-handlers-factory-batchhandlermom2sep" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">BatchHandlerMom2Sep</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_containers</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_containers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_batches</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">means</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stds</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">queue_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'lazy'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_enhance_mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'constant'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lower_models</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">end_t_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep"><code class="xref py py-class docutils literal notranslate"><span class="pre">QueueMom2Sep</span></code></a></p>
+<p>BatchHandler object built from two lists of
+<a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a> objects, one with
+training data and one with validation data. These lists will be used
+to initialize lists of class:<cite>Sampler</cite> objects that will then be used
+to build batches at run time.</p>
+<p class="rubric">Notes</p>
+<p>These lists of containers can contain data from the same underlying
+data source (e.g. CONUS WTK) (e.g. initialize train / val containers
+with different time period and / or regions, or they can be used to
+sample from completely different data sources (e.g. train on CONUS WTK
+while validating on Canada WTK).</p>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code>, <a class="reference internal" href="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">AbstractBatchQueue</span></code></a>, <code class="xref py py-class docutils literal notranslate"><span class="pre">StatsCollection</span></code></p>
+</div>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>train_containers</strong> (<em>List[Container]</em>) – List of objects with a <cite>.data</cite> attribute, which will be used
+to initialize Sampler objects and then used to initialize a
+batch queue of training data. The data can be a Sup3rX or
+Sup3rDataset object.</p></li>
+<li><p><strong>val_containers</strong> (<em>List[Container]</em>) – List of objects with a <cite>.data</cite> attribute, which will be used
+to initialize Sampler objects and then used to initialize a
+batch queue of validation data. The data can be a Sup3rX or a
+Sup3rDataset object.</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of observations / samples in a batch</p></li>
+<li><p><strong>n_batches</strong> (<em>int</em>) – Number of batches in an epoch, this sets the iteration limit for
+this object.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes is to be enhanced.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Integer factor by which the temporal axes is to be enhanced.</p></li>
+<li><p><strong>means</strong> (<em>str | dict | None</em>) – Usually a file path for loading / saving results, or None for
+just calculating stats and not saving. Can also be a dict.</p></li>
+<li><p><strong>stds</strong> (<em>str | dict | None</em>) – Usually a file path for loading / saving results, or None for
+just calculating stats and not saving. Can also be a dict.</p></li>
+<li><p><strong>queue_cap</strong> (<em>int</em>) – Maximum number of batches the batch queue can store.</p></li>
+<li><p><strong>transform_kwargs</strong> (<em>Union[Dict, None]</em>) – Dictionary of kwargs to be passed to <cite>self.transform</cite>. This method
+performs smoothing / coarsening.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Loading mode. Default is ‘lazy’, which only loads data into memory
+as batches are queued. ‘eager’ will load all data into memory right
+away.</p></li>
+<li><p><strong>feature_sets</strong> (<em>Optional[dict]</em>) – Optional dictionary describing how the full set of features is
+split between <code class="docutils literal notranslate"><span class="pre">lr_only_features</span></code> and <code class="docutils literal notranslate"><span class="pre">hr_exo_features</span></code>.</p>
+<dl class="simple">
+<dt>features<span class="classifier">list | tuple</span></dt><dd><p>List of full set of features to use for sampling. If no entry
+is provided then all data_vars from data will be used.</p>
+</dd>
+<dt>lr_only_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should only be
+included in the low-res training set and not the high-res
+observations.</p>
+</dd>
+<dt>hr_exo_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should be included
+in the high-resolution observation but not expected to be
+output from the generative model. An example is high-res
+topography that is to be injected mid-network.</p>
+</dd>
+</dl>
+</li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Keyword arguments for parent class</p></li>
+<li><p><strong>sample_shape</strong> (<em>tuple</em>) – Size of arrays to sample from the contained data.</p></li>
+<li><p><strong>time_enhance_mode</strong> (<em>str</em>) – [constant, linear]
+Method to enhance temporally when constructing subfilter. At every
+temporal location, a low-res temporal data is subtracted from the
+high-res temporal data predicted.  constant will assume that the
+low-res temporal data is constant between landmarks.  linear will
+linearly interpolate between landmarks to generate the low-res data
+to remove from the high-res.</p></li>
+<li><p><strong>lower_models</strong> (<em>Dict[int, Sup3rCondMom] | None</em>) – Dictionary of models that predict lower moments. For example, if
+this queue is part of a handler to estimate the 3rd moment
+<cite>lower_models</cite> could include models that estimate the 1st and 2nd
+moments. These lower moments can be required in higher order moment
+calculations.</p></li>
+<li><p><strong>s_padding</strong> (<em>int | None</em>) – Width of spatial padding to predict only middle part. If None, no
+padding is used</p></li>
+<li><p><strong>t_padding</strong> (<em>int | None</em>) – Width of temporal padding to predict only middle part. If None, no
+padding is used</p></li>
+<li><p><strong>end_t_padding</strong> (<em>bool | False</em>) – Zero pad the end of temporal space.  Ensures that loss is
+calculated only if snapshot is surrounded by temporal landmarks.
+False by default</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.check_enhancement_factors" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.check_enhancement_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_enhancement_factors</span></code></a>()</p></td>
+<td><p>Make sure the enhancement factors evenly divide the sample_shape.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.check_features" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.check_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_features</span></code></a>()</p></td>
+<td><p>Make sure all samplers have the same sets of features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.check_shared_attr" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.enqueue_batch" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.enqueue_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batch</span></code></a>()</p></td>
+<td><p>Build batch and send to queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.enqueue_batches" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.enqueue_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batches</span></code></a>()</p></td>
+<td><p>Callback function for queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_batch" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_batch</span></code></a>()</p></td>
+<td><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through <code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_container_index" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_container_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_container_index</span></code></a>()</p></td>
+<td><p>Get random container index based on weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_queue" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_queue</span></code></a>()</p></td>
+<td><p>Return FIFO queue for storing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_random_container" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_random_container"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_random_container</span></code></a>()</p></td>
+<td><p>Get random container based on container weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.init_samplers" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.init_samplers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_samplers</span></code></a>(train_containers, ...)</p></td>
+<td><p>Initialize samplers from given data containers.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.log_queue_info" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.log_queue_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_queue_info</span></code></a>()</p></td>
+<td><p>Log info about queue size.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.make_mask" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.make_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_mask</span></code></a>(high_res)</p></td>
+<td><p>Make mask for output.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.make_output" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.make_output"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_output</span></code></a>(samples)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.post_init_log" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.post_proc" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.post_proc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_proc</span></code></a>(samples)</p></td>
+<td><p>Returns normalized collection of samples / observations along with mask and target output for conditional moment estimation.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.preflight" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run checks before kicking off the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.sample_batch" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.sample_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_batch</span></code></a>()</p></td>
+<td><p>Get random sampler from collection and return a batch of samples from that sampler.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.start" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start</span></code></a>()</p></td>
+<td><p>Start the val data batch queue in addition to the train batch queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.stop" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop</span></code></a>()</p></td>
+<td><p>Stop the val data batch queue in addition to the train batch queue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.transform" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(samples[, smoothing, ...])</p></td>
+<td><p>Coarsen high res data to get corresponding low res batch.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.wrap" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.container_weights" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.data" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.features" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.hr_shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Shape of high resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.lr_shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Shape of low resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.queue_shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.queue_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_shape</span></code></a></p></td>
+<td><p>Shape of objects stored in the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.queue_thread" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.queue_thread"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_thread</span></code></a></p></td>
+<td><p>Get new queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.running" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.running"><code class="xref py py-obj docutils literal notranslate"><span class="pre">running</span></code></a></p></td>
+<td><p>Boolean to check whether to keep enqueueing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of Batch(low_res, high_res)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ConditionalBatch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of ConditionalBatch(low_res, high_res, output, mask)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.mask">
+<span class="sig-name descname"><span class="pre">mask</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.mask" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 3</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.output">
+<span class="sig-name descname"><span class="pre">output</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.output" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 2</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.SAMPLER">
+<span class="sig-name descname"><span class="pre">SAMPLER</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.SAMPLER" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler" title="sup3r.preprocessing.samplers.base.Sampler"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code></a></p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.TRAIN_QUEUE">
+<span class="sig-name descname"><span class="pre">TRAIN_QUEUE</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.TRAIN_QUEUE" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep"><code class="xref py py-class docutils literal notranslate"><span class="pre">QueueMom2Sep</span></code></a></p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.VAL_QUEUE">
+<span class="sig-name descname"><span class="pre">VAL_QUEUE</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.VAL_QUEUE" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep"><code class="xref py py-class docutils literal notranslate"><span class="pre">QueueMom2Sep</span></code></a></p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.check_enhancement_factors">
+<span class="sig-name descname"><span class="pre">check_enhancement_factors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.check_enhancement_factors" title="Link to this definition">#</a></dt>
+<dd><p>Make sure the enhancement factors evenly divide the sample_shape.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.check_features">
+<span class="sig-name descname"><span class="pre">check_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.check_features" title="Link to this definition">#</a></dt>
+<dd><p>Make sure all samplers have the same sets of features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.wrap" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.enqueue_batch">
+<span class="sig-name descname"><span class="pre">enqueue_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.enqueue_batch" title="Link to this definition">#</a></dt>
+<dd><p>Build batch and send to queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.enqueue_batches">
+<span class="sig-name descname"><span class="pre">enqueue_batches</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.enqueue_batches" title="Link to this definition">#</a></dt>
+<dd><p>Callback function for queue thread. While training, the queue is
+checked for empty spots and filled. In the training thread, batches are
+removed from the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_batch">
+<span class="sig-name descname"><span class="pre">get_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through
+<code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_container_index">
+<span class="sig-name descname"><span class="pre">get_container_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_container_index" title="Link to this definition">#</a></dt>
+<dd><p>Get random container index based on weights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_queue">
+<span class="sig-name descname"><span class="pre">get_queue</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_queue" title="Link to this definition">#</a></dt>
+<dd><p>Return FIFO queue for storing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_random_container">
+<span class="sig-name descname"><span class="pre">get_random_container</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_random_container" title="Link to this definition">#</a></dt>
+<dd><p>Get random container based on container weights</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of high resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.init_samplers">
+<span class="sig-name descname"><span class="pre">init_samplers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_containers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_containers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampler_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.init_samplers" title="Link to this definition">#</a></dt>
+<dd><p>Initialize samplers from given data containers.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.log_queue_info">
+<span class="sig-name descname"><span class="pre">log_queue_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.log_queue_info" title="Link to this definition">#</a></dt>
+<dd><p>Log info about queue size.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of low resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.make_mask">
+<span class="sig-name descname"><span class="pre">make_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.make_mask" title="Link to this definition">#</a></dt>
+<dd><p>Make mask for output. This is used to ensure consistency when
+training conditional moments.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Consider the case of learning E(HR|LR) where HR is the high_res and LR
+is the low_res. In theory, the conditional moment estimation works if
+the full LR is passed as input and predicts the full HR. In practice,
+only the LR data that overlaps and surrounds the HR data is useful, ie
+E(HR|LR) = E(HR|LR_nei) where LR_nei is the LR data that surrounds the
+HR data. Physically, this is equivalent to saying that data far away
+from a region of interest does not matter.  This allows learning the
+conditional moments on spatial and temporal chunks only if one
+restricts the high_res output as being overlapped and surrounded by the
+input low_res.  The role of the mask is to ensure that the input
+low_res always surrounds the output high_res.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>mask</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.make_output">
+<span class="sig-name descname"><span class="pre">make_output</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.make_output" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>HR**2</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)
+HR is high-res</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.post_proc">
+<span class="sig-name descname"><span class="pre">post_proc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.post_proc" title="Link to this definition">#</a></dt>
+<dd><p>Returns normalized collection of samples / observations along with
+mask and target output for conditional moment estimation. Performs
+coarsening on high-res data if <code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code> consists of
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects and not <code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> objects</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>namedtuple</em> – Named tuple with <cite>low_res</cite>, <cite>high_res</cite>, <cite>mask</cite>, and <cite>output</cite>
+attributes</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run checks before kicking off the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.queue_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.queue_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of objects stored in the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.queue_thread">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_thread</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.queue_thread" title="Link to this definition">#</a></dt>
+<dd><p>Get new queue thread.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.running">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">running</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.running" title="Link to this definition">#</a></dt>
+<dd><p>Boolean to check whether to keep enqueueing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.sample_batch">
+<span class="sig-name descname"><span class="pre">sample_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.sample_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get random sampler from collection and return a batch of samples
+from that sampler.</p>
+<p class="rubric">Notes</p>
+<p>These samples are wrapped in an <code class="docutils literal notranslate"><span class="pre">np.asarray</span></code> call, so they have been
+loaded into memory.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.start">
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.start" title="Link to this definition">#</a></dt>
+<dd><p>Start the val data batch queue in addition to the train batch
+queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.stop">
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.stop" title="Link to this definition">#</a></dt>
+<dd><p>Stop the val data batch queue in addition to the train batch
+queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.transform">
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_ignore</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_coarsening_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'subsample'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.transform" title="Link to this definition">#</a></dt>
+<dd><p>Coarsen high res data to get corresponding low res batch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samples</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – High resolution batch of samples.
+4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>smoothing</strong> (<em>float | None</em>) – Standard deviation to use for gaussian filtering of the coarse
+data. This can be tuned by matching the kinetic energy of a low
+resolution simulation with the kinetic energy of a coarsened and
+smoothed high resolution simulation. If None no smoothing is
+performed.</p></li>
+<li><p><strong>smoothing_ignore</strong> (<em>list | None</em>) – List of features to ignore for the smoothing filter. None will
+smooth all features if smoothing kwarg is not None</p></li>
+<li><p><strong>temporal_coarsening_method</strong> (<em>str</em>) – Method to use for temporal coarsening. Can be subsample, average,
+min, max, or total</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>low_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
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+<div class="prev-next-area">
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.ConditionalBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.ConditionalBatch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.ConditionalBatch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.ConditionalBatch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.ConditionalBatch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.ConditionalBatch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.ConditionalBatch.low_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.mask"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.ConditionalBatch.mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.output"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.ConditionalBatch.output</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.SAMPLER"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.SAMPLER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.TRAIN_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.TRAIN_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.VAL_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.VAL_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.check_features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.container_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.data"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_container_index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_queue"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_random_container"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.hr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.init_samplers"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.init_samplers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.log_queue_info"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.lr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.make_mask"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.make_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.make_output"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.make_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.post_init_log"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.post_proc"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.preflight"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.queue_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.queue_thread"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.running"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.sample_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.start"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.stop"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.transform"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.wrap"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep.wrap()</span></code></a></li>
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+    <h1>sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.ConditionalBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.ConditionalBatch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.ConditionalBatch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.ConditionalBatch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.ConditionalBatch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.ConditionalBatch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.ConditionalBatch.low_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.mask"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.ConditionalBatch.mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.output"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.ConditionalBatch.output</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.SAMPLER"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.SAMPLER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.TRAIN_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.TRAIN_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.VAL_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.VAL_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.check_features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.container_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.data"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_container_index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_queue"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_random_container"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.hr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.init_samplers"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.init_samplers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.log_queue_info"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.lr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.make_mask"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.make_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.make_output"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.make_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.post_init_log"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.post_proc"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.preflight"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.queue_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.queue_thread"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.running"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.sample_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.start"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.stop"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.transform"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.wrap"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-batch-handlers-factory-batchhandlermom2sepsf">
+<h1>sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF<a class="headerlink" href="#sup3r-preprocessing-batch-handlers-factory-batchhandlermom2sepsf" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">BatchHandlerMom2SepSF</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_containers</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_containers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_batches</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">means</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stds</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">queue_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'lazy'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_enhance_mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'constant'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lower_models</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">end_t_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF"><code class="xref py py-class docutils literal notranslate"><span class="pre">QueueMom2SepSF</span></code></a></p>
+<p>BatchHandler object built from two lists of
+<a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a> objects, one with
+training data and one with validation data. These lists will be used
+to initialize lists of class:<cite>Sampler</cite> objects that will then be used
+to build batches at run time.</p>
+<p class="rubric">Notes</p>
+<p>These lists of containers can contain data from the same underlying
+data source (e.g. CONUS WTK) (e.g. initialize train / val containers
+with different time period and / or regions, or they can be used to
+sample from completely different data sources (e.g. train on CONUS WTK
+while validating on Canada WTK).</p>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code>, <a class="reference internal" href="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">AbstractBatchQueue</span></code></a>, <code class="xref py py-class docutils literal notranslate"><span class="pre">StatsCollection</span></code></p>
+</div>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>train_containers</strong> (<em>List[Container]</em>) – List of objects with a <cite>.data</cite> attribute, which will be used
+to initialize Sampler objects and then used to initialize a
+batch queue of training data. The data can be a Sup3rX or
+Sup3rDataset object.</p></li>
+<li><p><strong>val_containers</strong> (<em>List[Container]</em>) – List of objects with a <cite>.data</cite> attribute, which will be used
+to initialize Sampler objects and then used to initialize a
+batch queue of validation data. The data can be a Sup3rX or a
+Sup3rDataset object.</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of observations / samples in a batch</p></li>
+<li><p><strong>n_batches</strong> (<em>int</em>) – Number of batches in an epoch, this sets the iteration limit for
+this object.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes is to be enhanced.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Integer factor by which the temporal axes is to be enhanced.</p></li>
+<li><p><strong>means</strong> (<em>str | dict | None</em>) – Usually a file path for loading / saving results, or None for
+just calculating stats and not saving. Can also be a dict.</p></li>
+<li><p><strong>stds</strong> (<em>str | dict | None</em>) – Usually a file path for loading / saving results, or None for
+just calculating stats and not saving. Can also be a dict.</p></li>
+<li><p><strong>queue_cap</strong> (<em>int</em>) – Maximum number of batches the batch queue can store.</p></li>
+<li><p><strong>transform_kwargs</strong> (<em>Union[Dict, None]</em>) – Dictionary of kwargs to be passed to <cite>self.transform</cite>. This method
+performs smoothing / coarsening.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Loading mode. Default is ‘lazy’, which only loads data into memory
+as batches are queued. ‘eager’ will load all data into memory right
+away.</p></li>
+<li><p><strong>feature_sets</strong> (<em>Optional[dict]</em>) – Optional dictionary describing how the full set of features is
+split between <code class="docutils literal notranslate"><span class="pre">lr_only_features</span></code> and <code class="docutils literal notranslate"><span class="pre">hr_exo_features</span></code>.</p>
+<dl class="simple">
+<dt>features<span class="classifier">list | tuple</span></dt><dd><p>List of full set of features to use for sampling. If no entry
+is provided then all data_vars from data will be used.</p>
+</dd>
+<dt>lr_only_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should only be
+included in the low-res training set and not the high-res
+observations.</p>
+</dd>
+<dt>hr_exo_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should be included
+in the high-resolution observation but not expected to be
+output from the generative model. An example is high-res
+topography that is to be injected mid-network.</p>
+</dd>
+</dl>
+</li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Keyword arguments for parent class</p></li>
+<li><p><strong>sample_shape</strong> (<em>tuple</em>) – Size of arrays to sample from the contained data.</p></li>
+<li><p><strong>time_enhance_mode</strong> (<em>str</em>) – [constant, linear]
+Method to enhance temporally when constructing subfilter. At every
+temporal location, a low-res temporal data is subtracted from the
+high-res temporal data predicted.  constant will assume that the
+low-res temporal data is constant between landmarks.  linear will
+linearly interpolate between landmarks to generate the low-res data
+to remove from the high-res.</p></li>
+<li><p><strong>lower_models</strong> (<em>Dict[int, Sup3rCondMom] | None</em>) – Dictionary of models that predict lower moments. For example, if
+this queue is part of a handler to estimate the 3rd moment
+<cite>lower_models</cite> could include models that estimate the 1st and 2nd
+moments. These lower moments can be required in higher order moment
+calculations.</p></li>
+<li><p><strong>s_padding</strong> (<em>int | None</em>) – Width of spatial padding to predict only middle part. If None, no
+padding is used</p></li>
+<li><p><strong>t_padding</strong> (<em>int | None</em>) – Width of temporal padding to predict only middle part. If None, no
+padding is used</p></li>
+<li><p><strong>end_t_padding</strong> (<em>bool | False</em>) – Zero pad the end of temporal space.  Ensures that loss is
+calculated only if snapshot is surrounded by temporal landmarks.
+False by default</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.check_enhancement_factors" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.check_enhancement_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_enhancement_factors</span></code></a>()</p></td>
+<td><p>Make sure the enhancement factors evenly divide the sample_shape.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.check_features" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.check_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_features</span></code></a>()</p></td>
+<td><p>Make sure all samplers have the same sets of features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.check_shared_attr" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.enqueue_batch" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.enqueue_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batch</span></code></a>()</p></td>
+<td><p>Build batch and send to queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.enqueue_batches" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.enqueue_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batches</span></code></a>()</p></td>
+<td><p>Callback function for queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_batch" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_batch</span></code></a>()</p></td>
+<td><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through <code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_container_index" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_container_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_container_index</span></code></a>()</p></td>
+<td><p>Get random container index based on weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_queue" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_queue</span></code></a>()</p></td>
+<td><p>Return FIFO queue for storing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_random_container" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_random_container"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_random_container</span></code></a>()</p></td>
+<td><p>Get random container based on container weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.init_samplers" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.init_samplers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_samplers</span></code></a>(train_containers, ...)</p></td>
+<td><p>Initialize samplers from given data containers.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.log_queue_info" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.log_queue_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_queue_info</span></code></a>()</p></td>
+<td><p>Log info about queue size.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.make_mask" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.make_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_mask</span></code></a>(high_res)</p></td>
+<td><p>Make mask for output.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.make_output" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.make_output"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_output</span></code></a>(samples)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.post_init_log" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.post_proc" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.post_proc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_proc</span></code></a>(samples)</p></td>
+<td><p>Returns normalized collection of samples / observations along with mask and target output for conditional moment estimation.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.preflight" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run checks before kicking off the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.sample_batch" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.sample_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_batch</span></code></a>()</p></td>
+<td><p>Get random sampler from collection and return a batch of samples from that sampler.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.start" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start</span></code></a>()</p></td>
+<td><p>Start the val data batch queue in addition to the train batch queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.stop" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop</span></code></a>()</p></td>
+<td><p>Stop the val data batch queue in addition to the train batch queue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.transform" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(samples[, smoothing, ...])</p></td>
+<td><p>Coarsen high res data to get corresponding low res batch.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.wrap" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.container_weights" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.data" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.features" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.hr_shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Shape of high resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.lr_shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Shape of low resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.queue_shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.queue_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_shape</span></code></a></p></td>
+<td><p>Shape of objects stored in the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.queue_thread" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.queue_thread"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_thread</span></code></a></p></td>
+<td><p>Get new queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.running" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.running"><code class="xref py py-obj docutils literal notranslate"><span class="pre">running</span></code></a></p></td>
+<td><p>Boolean to check whether to keep enqueueing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.shape" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of Batch(low_res, high_res)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ConditionalBatch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of ConditionalBatch(low_res, high_res, output, mask)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.mask">
+<span class="sig-name descname"><span class="pre">mask</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.mask" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 3</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.output">
+<span class="sig-name descname"><span class="pre">output</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.output" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 2</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.SAMPLER">
+<span class="sig-name descname"><span class="pre">SAMPLER</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.SAMPLER" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler" title="sup3r.preprocessing.samplers.base.Sampler"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code></a></p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.TRAIN_QUEUE">
+<span class="sig-name descname"><span class="pre">TRAIN_QUEUE</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.TRAIN_QUEUE" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF"><code class="xref py py-class docutils literal notranslate"><span class="pre">QueueMom2SepSF</span></code></a></p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.VAL_QUEUE">
+<span class="sig-name descname"><span class="pre">VAL_QUEUE</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.VAL_QUEUE" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF"><code class="xref py py-class docutils literal notranslate"><span class="pre">QueueMom2SepSF</span></code></a></p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.check_enhancement_factors">
+<span class="sig-name descname"><span class="pre">check_enhancement_factors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.check_enhancement_factors" title="Link to this definition">#</a></dt>
+<dd><p>Make sure the enhancement factors evenly divide the sample_shape.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.check_features">
+<span class="sig-name descname"><span class="pre">check_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.check_features" title="Link to this definition">#</a></dt>
+<dd><p>Make sure all samplers have the same sets of features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.wrap" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.enqueue_batch">
+<span class="sig-name descname"><span class="pre">enqueue_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.enqueue_batch" title="Link to this definition">#</a></dt>
+<dd><p>Build batch and send to queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.enqueue_batches">
+<span class="sig-name descname"><span class="pre">enqueue_batches</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.enqueue_batches" title="Link to this definition">#</a></dt>
+<dd><p>Callback function for queue thread. While training, the queue is
+checked for empty spots and filled. In the training thread, batches are
+removed from the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_batch">
+<span class="sig-name descname"><span class="pre">get_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through
+<code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_container_index">
+<span class="sig-name descname"><span class="pre">get_container_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_container_index" title="Link to this definition">#</a></dt>
+<dd><p>Get random container index based on weights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_queue">
+<span class="sig-name descname"><span class="pre">get_queue</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_queue" title="Link to this definition">#</a></dt>
+<dd><p>Return FIFO queue for storing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_random_container">
+<span class="sig-name descname"><span class="pre">get_random_container</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_random_container" title="Link to this definition">#</a></dt>
+<dd><p>Get random container based on container weights</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of high resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.init_samplers">
+<span class="sig-name descname"><span class="pre">init_samplers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_containers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_containers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampler_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.init_samplers" title="Link to this definition">#</a></dt>
+<dd><p>Initialize samplers from given data containers.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.log_queue_info">
+<span class="sig-name descname"><span class="pre">log_queue_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.log_queue_info" title="Link to this definition">#</a></dt>
+<dd><p>Log info about queue size.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of low resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.make_mask">
+<span class="sig-name descname"><span class="pre">make_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.make_mask" title="Link to this definition">#</a></dt>
+<dd><p>Make mask for output. This is used to ensure consistency when
+training conditional moments.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Consider the case of learning E(HR|LR) where HR is the high_res and LR
+is the low_res. In theory, the conditional moment estimation works if
+the full LR is passed as input and predicts the full HR. In practice,
+only the LR data that overlaps and surrounds the HR data is useful, ie
+E(HR|LR) = E(HR|LR_nei) where LR_nei is the LR data that surrounds the
+HR data. Physically, this is equivalent to saying that data far away
+from a region of interest does not matter.  This allows learning the
+conditional moments on spatial and temporal chunks only if one
+restricts the high_res output as being overlapped and surrounded by the
+input low_res.  The role of the mask is to ensure that the input
+low_res always surrounds the output high_res.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>mask</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.make_output">
+<span class="sig-name descname"><span class="pre">make_output</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.make_output" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>SF**2</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)
+SF is subfilter, HR is high-res and LR is low-res
+SF = HR - LR</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.post_proc">
+<span class="sig-name descname"><span class="pre">post_proc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.post_proc" title="Link to this definition">#</a></dt>
+<dd><p>Returns normalized collection of samples / observations along with
+mask and target output for conditional moment estimation. Performs
+coarsening on high-res data if <code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code> consists of
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects and not <code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> objects</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>namedtuple</em> – Named tuple with <cite>low_res</cite>, <cite>high_res</cite>, <cite>mask</cite>, and <cite>output</cite>
+attributes</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run checks before kicking off the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.queue_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.queue_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of objects stored in the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.queue_thread">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_thread</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.queue_thread" title="Link to this definition">#</a></dt>
+<dd><p>Get new queue thread.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.running">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">running</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.running" title="Link to this definition">#</a></dt>
+<dd><p>Boolean to check whether to keep enqueueing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.sample_batch">
+<span class="sig-name descname"><span class="pre">sample_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.sample_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get random sampler from collection and return a batch of samples
+from that sampler.</p>
+<p class="rubric">Notes</p>
+<p>These samples are wrapped in an <code class="docutils literal notranslate"><span class="pre">np.asarray</span></code> call, so they have been
+loaded into memory.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.start">
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.start" title="Link to this definition">#</a></dt>
+<dd><p>Start the val data batch queue in addition to the train batch
+queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.stop">
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.stop" title="Link to this definition">#</a></dt>
+<dd><p>Stop the val data batch queue in addition to the train batch
+queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.transform">
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_ignore</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_coarsening_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'subsample'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.transform" title="Link to this definition">#</a></dt>
+<dd><p>Coarsen high res data to get corresponding low res batch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samples</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – High resolution batch of samples.
+4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>smoothing</strong> (<em>float | None</em>) – Standard deviation to use for gaussian filtering of the coarse
+data. This can be tuned by matching the kinetic energy of a low
+resolution simulation with the kinetic energy of a coarsened and
+smoothed high resolution simulation. If None no smoothing is
+performed.</p></li>
+<li><p><strong>smoothing_ignore</strong> (<em>list | None</em>) – List of features to ignore for the smoothing filter. None will
+smooth all features if smoothing kwarg is not None</p></li>
+<li><p><strong>temporal_coarsening_method</strong> (<em>str</em>) – Method to use for temporal coarsening. Can be subsample, average,
+min, max, or total</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>low_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.Batch.__mul__()</span></code></a></li>
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+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.ConditionalBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.ConditionalBatch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.ConditionalBatch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.ConditionalBatch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.ConditionalBatch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.ConditionalBatch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.ConditionalBatch.low_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.mask"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.ConditionalBatch.mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.output"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.ConditionalBatch.output</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.SAMPLER"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.SAMPLER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.TRAIN_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.TRAIN_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.VAL_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.VAL_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.check_features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.container_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.data"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_container_index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_queue"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_random_container"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.hr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.init_samplers"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.init_samplers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.log_queue_info"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.lr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.make_mask"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.make_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.make_output"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.make_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.post_init_log"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.post_proc"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.preflight"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.queue_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.queue_thread"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.running"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.sample_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.start"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.stop"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.transform"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.wrap"><code class="docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF.wrap()</span></code></a></li>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>sup3r.preprocessing.batch_handlers.factory.DualBatchHandler</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.count"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.index"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.SAMPLER"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.SAMPLER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.TRAIN_QUEUE"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.TRAIN_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.VAL_QUEUE"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.VAL_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.check_features"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.container_weights"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.data"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.features"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_batch"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_container_index"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_queue"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_random_container"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.hr_shape"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.init_samplers"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.init_samplers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.log_queue_info"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.lr_shape"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.post_init_log"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.post_proc"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.preflight"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.queue_shape"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.queue_thread"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.running"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.sample_batch"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.shape"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.start"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.stop"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.transform"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.wrap"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-batch-handlers-factory-dualbatchhandler">
+<h1>sup3r.preprocessing.batch_handlers.factory.DualBatchHandler<a class="headerlink" href="#sup3r-preprocessing-batch-handlers-factory-dualbatchhandler" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">DualBatchHandler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_containers</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_containers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_batches</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">means</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stds</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">queue_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'lazy'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualBatchQueue</span></code></a></p>
+<p>BatchHandler object built from two lists of
+<a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a> objects, one with
+training data and one with validation data. These lists will be used
+to initialize lists of class:<cite>Sampler</cite> objects that will then be used
+to build batches at run time.</p>
+<p class="rubric">Notes</p>
+<p>These lists of containers can contain data from the same underlying
+data source (e.g. CONUS WTK) (e.g. initialize train / val containers
+with different time period and / or regions, or they can be used to
+sample from completely different data sources (e.g. train on CONUS WTK
+while validating on Canada WTK).</p>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code>, <a class="reference internal" href="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">AbstractBatchQueue</span></code></a>, <code class="xref py py-class docutils literal notranslate"><span class="pre">StatsCollection</span></code></p>
+</div>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>train_containers</strong> (<em>List[Container]</em>) – List of objects with a <cite>.data</cite> attribute, which will be used
+to initialize Sampler objects and then used to initialize a
+batch queue of training data. The data can be a Sup3rX or
+Sup3rDataset object.</p></li>
+<li><p><strong>val_containers</strong> (<em>List[Container]</em>) – List of objects with a <cite>.data</cite> attribute, which will be used
+to initialize Sampler objects and then used to initialize a
+batch queue of validation data. The data can be a Sup3rX or a
+Sup3rDataset object.</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of observations / samples in a batch</p></li>
+<li><p><strong>n_batches</strong> (<em>int</em>) – Number of batches in an epoch, this sets the iteration limit for
+this object.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes is to be enhanced.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Integer factor by which the temporal axes is to be enhanced.</p></li>
+<li><p><strong>means</strong> (<em>str | dict | None</em>) – Usually a file path for loading / saving results, or None for
+just calculating stats and not saving. Can also be a dict.</p></li>
+<li><p><strong>stds</strong> (<em>str | dict | None</em>) – Usually a file path for loading / saving results, or None for
+just calculating stats and not saving. Can also be a dict.</p></li>
+<li><p><strong>queue_cap</strong> (<em>int</em>) – Maximum number of batches the batch queue can store.</p></li>
+<li><p><strong>transform_kwargs</strong> (<em>Union[Dict, None]</em>) – Dictionary of kwargs to be passed to <cite>self.transform</cite>. This method
+performs smoothing / coarsening.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Loading mode. Default is ‘lazy’, which only loads data into memory
+as batches are queued. ‘eager’ will load all data into memory right
+away.</p></li>
+<li><p><strong>feature_sets</strong> (<em>Optional[dict]</em>) – Optional dictionary describing how the full set of features is
+split between <cite>lr_only_features</cite> and <cite>hr_exo_features</cite>.</p>
+<dl class="simple">
+<dt>lr_only_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should only be
+included in the low-res training set and not the high-res
+observations.</p>
+</dd>
+<dt>hr_exo_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should be included
+in the high-resolution observation but not expected to be
+output from the generative model. An example is high-res
+topography that is to be injected mid-network.</p>
+</dd>
+</dl>
+</li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Additional keyword arguments for BatchQueue and / or Samplers.
+This can vary depending on the type of BatchQueue / Sampler
+given to the Factory. For example, to build a
+<code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandlerDC</span></code>
+object (data-centric batch handler) we use a queue and sampler
+which takes spatial and temporal weight / bin arguments used to
+determine how to weigh spatiotemporal regions when sampling.
+Using
+<code class="xref py py-class docutils literal notranslate"><span class="pre">ConditionalBatchQueue</span></code>
+will result in arguments for computing moments from batches and
+how to pad batch data to enable these calculations.</p></li>
+<li><p><strong>sample_shape</strong> (<em>tuple</em>) – Size of arrays to sample from the high-res data. The sample shape
+for the low-res sampler will be determined from the enhancement
+factors.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.check_enhancement_factors" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.check_enhancement_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_enhancement_factors</span></code></a>()</p></td>
+<td><p>Make sure each DualSampler has the same enhancment factors and they match those provided to the BatchQueue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.check_features" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.check_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_features</span></code></a>()</p></td>
+<td><p>Make sure all samplers have the same sets of features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.check_shared_attr" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.enqueue_batch" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.enqueue_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batch</span></code></a>()</p></td>
+<td><p>Build batch and send to queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.enqueue_batches" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.enqueue_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batches</span></code></a>()</p></td>
+<td><p>Callback function for queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_batch" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_batch</span></code></a>()</p></td>
+<td><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through <code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_container_index" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_container_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_container_index</span></code></a>()</p></td>
+<td><p>Get random container index based on weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_queue" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_queue</span></code></a>()</p></td>
+<td><p>Return FIFO queue for storing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_random_container" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_random_container"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_random_container</span></code></a>()</p></td>
+<td><p>Get random container based on container weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.init_samplers" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.init_samplers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_samplers</span></code></a>(train_containers, ...)</p></td>
+<td><p>Initialize samplers from given data containers.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.log_queue_info" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.log_queue_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_queue_info</span></code></a>()</p></td>
+<td><p>Log info about queue size.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.post_init_log" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.post_proc" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.post_proc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_proc</span></code></a>(samples)</p></td>
+<td><p>Performs some post proc on dequeued samples before sending out for training.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.preflight" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run checks before kicking off the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.sample_batch" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.sample_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_batch</span></code></a>()</p></td>
+<td><p>Get random sampler from collection and return a batch of samples from that sampler.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.start" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start</span></code></a>()</p></td>
+<td><p>Start the val data batch queue in addition to the train batch queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.stop" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop</span></code></a>()</p></td>
+<td><p>Stop the val data batch queue in addition to the train batch queue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.transform" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(samples[, smoothing, smoothing_ignore])</p></td>
+<td><p>Perform smoothing if requested.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.wrap" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.container_weights" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.data" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.features" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.hr_shape" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Shape of high resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.lr_shape" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Shape of low resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.queue_shape" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.queue_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_shape</span></code></a></p></td>
+<td><p>Shape of objects stored in the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.queue_thread" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.queue_thread"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_thread</span></code></a></p></td>
+<td><p>Get new queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.running" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.running"><code class="xref py py-obj docutils literal notranslate"><span class="pre">running</span></code></a></p></td>
+<td><p>Boolean to check whether to keep enqueueing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.shape" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of Batch(low_res, high_res)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.SAMPLER">
+<span class="sig-name descname"><span class="pre">SAMPLER</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.SAMPLER" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler" title="sup3r.preprocessing.samplers.dual.DualSampler"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code></a></p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.TRAIN_QUEUE">
+<span class="sig-name descname"><span class="pre">TRAIN_QUEUE</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.TRAIN_QUEUE" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualBatchQueue</span></code></a></p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.VAL_QUEUE">
+<span class="sig-name descname"><span class="pre">VAL_QUEUE</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.VAL_QUEUE" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualBatchQueue</span></code></a></p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.check_enhancement_factors">
+<span class="sig-name descname"><span class="pre">check_enhancement_factors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.check_enhancement_factors" title="Link to this definition">#</a></dt>
+<dd><p>Make sure each DualSampler has the same enhancment factors and they
+match those provided to the BatchQueue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.check_features">
+<span class="sig-name descname"><span class="pre">check_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.check_features" title="Link to this definition">#</a></dt>
+<dd><p>Make sure all samplers have the same sets of features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.wrap" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.enqueue_batch">
+<span class="sig-name descname"><span class="pre">enqueue_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.enqueue_batch" title="Link to this definition">#</a></dt>
+<dd><p>Build batch and send to queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.enqueue_batches">
+<span class="sig-name descname"><span class="pre">enqueue_batches</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.enqueue_batches" title="Link to this definition">#</a></dt>
+<dd><p>Callback function for queue thread. While training, the queue is
+checked for empty spots and filled. In the training thread, batches are
+removed from the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_batch">
+<span class="sig-name descname"><span class="pre">get_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through
+<code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_container_index">
+<span class="sig-name descname"><span class="pre">get_container_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_container_index" title="Link to this definition">#</a></dt>
+<dd><p>Get random container index based on weights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_queue">
+<span class="sig-name descname"><span class="pre">get_queue</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_queue" title="Link to this definition">#</a></dt>
+<dd><p>Return FIFO queue for storing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_random_container">
+<span class="sig-name descname"><span class="pre">get_random_container</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_random_container" title="Link to this definition">#</a></dt>
+<dd><p>Get random container based on container weights</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of high resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.init_samplers">
+<span class="sig-name descname"><span class="pre">init_samplers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_containers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_containers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampler_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.init_samplers" title="Link to this definition">#</a></dt>
+<dd><p>Initialize samplers from given data containers.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.log_queue_info">
+<span class="sig-name descname"><span class="pre">log_queue_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.log_queue_info" title="Link to this definition">#</a></dt>
+<dd><p>Log info about queue size.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of low resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.post_proc">
+<span class="sig-name descname"><span class="pre">post_proc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.post_proc" title="Link to this definition">#</a></dt>
+<dd><p>Performs some post proc on dequeued samples before sending out for
+training. Post processing can include coarsening on high-res data (if
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code> consists of <code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects and not
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> objects), smoothing, etc</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>Batch</strong> (<em>namedtuple</em>) – namedtuple with <cite>low_res</cite> and <cite>high_res</cite> attributes</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run checks before kicking off the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.queue_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.queue_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of objects stored in the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.queue_thread">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_thread</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.queue_thread" title="Link to this definition">#</a></dt>
+<dd><p>Get new queue thread.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.running">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">running</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.running" title="Link to this definition">#</a></dt>
+<dd><p>Boolean to check whether to keep enqueueing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.sample_batch">
+<span class="sig-name descname"><span class="pre">sample_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.sample_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get random sampler from collection and return a batch of samples
+from that sampler.</p>
+<p class="rubric">Notes</p>
+<p>These samples are wrapped in an <code class="docutils literal notranslate"><span class="pre">np.asarray</span></code> call, so they have been
+loaded into memory.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.start">
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.start" title="Link to this definition">#</a></dt>
+<dd><p>Start the val data batch queue in addition to the train batch
+queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.stop">
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.stop" title="Link to this definition">#</a></dt>
+<dd><p>Stop the val data batch queue in addition to the train batch
+queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.transform">
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_ignore</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.transform" title="Link to this definition">#</a></dt>
+<dd><p>Perform smoothing if requested.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This does not include temporal or spatial coarsening like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">SingleBatchQueue</span></code></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
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+<div class="prev-next-area">
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+        <p class="prev-next-subtitle">previous</p>
+        <p class="prev-next-title">sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF</p>
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+       title="next page">
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+  <div class="sidebar-secondary-item">
+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.count"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.index"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.SAMPLER"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.SAMPLER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.TRAIN_QUEUE"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.TRAIN_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.VAL_QUEUE"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.VAL_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.check_features"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.container_weights"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.data"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.features"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_batch"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_container_index"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_queue"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_random_container"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.hr_shape"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.init_samplers"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.init_samplers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.log_queue_info"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.lr_shape"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.post_init_log"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.post_proc"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.preflight"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.queue_shape"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.queue_thread"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.running"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.sample_batch"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.shape"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.start"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.stop"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.transform"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.wrap"><code class="docutils literal notranslate"><span class="pre">DualBatchHandler.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+  </nav></div>
+
+</div></div>
+              
+            
+          </div>
+          <footer class="bd-footer-content">
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+<div class="bd-footer-content__inner container">
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+<p class="component-author">
+By Brandon Benton, Grant Buster, Andrew Glaws, Ryan King
+</p>
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+    <h1>sup3r.preprocessing.batch_handlers.factory</h1>
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+  <section id="module-sup3r.preprocessing.batch_handlers.factory">
+<span id="sup3r-preprocessing-batch-handlers-factory"></span><h1>sup3r.preprocessing.batch_handlers.factory<a class="headerlink" href="#module-sup3r.preprocessing.batch_handlers.factory" title="Link to this heading">#</a></h1>
+<p>BatchHandler factory. Builds BatchHandler objects from batch queues and
+samplers.</p>
+<p class="rubric">Functions</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandlerFactory.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerFactory" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerFactory"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BatchHandlerFactory</span></code></a>(MainQueueClass, SamplerClass)</p></td>
+<td><p>BatchHandler factory.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>(train_containers, *[, ...])</p></td>
+<td><p>BatchHandler object built from two lists of <a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a> objects, one with training data and one with validation data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BatchHandlerCC</span></code></a>(train_containers, *[, ...])</p></td>
+<td><p>BatchHandler object built from two lists of <a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a> objects, one with training data and one with validation data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BatchHandlerMom1</span></code></a>(train_containers, *[, ...])</p></td>
+<td><p>BatchHandler object built from two lists of <a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a> objects, one with training data and one with validation data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BatchHandlerMom1SF</span></code></a>(train_containers, *[, ...])</p></td>
+<td><p>BatchHandler object built from two lists of <a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a> objects, one with training data and one with validation data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BatchHandlerMom2</span></code></a>(train_containers, *[, ...])</p></td>
+<td><p>BatchHandler object built from two lists of <a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a> objects, one with training data and one with validation data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SF" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SF"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BatchHandlerMom2SF</span></code></a></p></td>
+<td><p>alias of <code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BatchHandlerMom2Sep</span></code></a>(train_containers, *[, ...])</p></td>
+<td><p>BatchHandler object built from two lists of <a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a> objects, one with training data and one with validation data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF" title="sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BatchHandlerMom2SepSF</span></code></a>(train_containers, *[, ...])</p></td>
+<td><p>BatchHandler object built from two lists of <a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a> objects, one with training data and one with validation data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DualBatchHandler</span></code></a>(train_containers, *[, ...])</p></td>
+<td><p>BatchHandler object built from two lists of <a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a> objects, one with training data and one with validation data.</p></td>
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+<p>Composite objects built from batch queues and samplers.</p>
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+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_handlers.dc.html#module-sup3r.preprocessing.batch_handlers.dc" title="sup3r.preprocessing.batch_handlers.dc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dc</span></code></a></p></td>
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+    <h1>sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
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+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.count"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.index"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.queue_shape"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_queue"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.preflight"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.queue_thread"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.check_features"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.transform"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.post_proc"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.start"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.stop"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_batch"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.running"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_container_index"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_random_container"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.sample_batch"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.log_queue_info"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.lr_shape"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.hr_shape"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.container_weights"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.data"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.features"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.post_init_log"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.shape"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.wrap"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-batch-queues-abstract-abstractbatchqueue">
+<h1>sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue<a class="headerlink" href="#sup3r-preprocessing-batch-queues-abstract-abstractbatchqueue" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">AbstractBatchQueue</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samplers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler" title="sup3r.preprocessing.samplers.base.Sampler"><span class="pre">Sampler</span></a><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler" title="sup3r.preprocessing.samplers.dual.DualSampler"><span class="pre">DualSampler</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_batches</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">queue_cap</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_kwargs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">thread_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'training'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'lazy'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/abstract.html#AbstractBatchQueue"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a>, <a class="reference external" href="https://docs.python.org/3/library/abc.html#abc.ABC" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">ABC</span></code></a></p>
+<p>Abstract BatchQueue class. This class gets batches from a dataset
+generator and maintains a queue of batches in a dedicated thread so the
+training routine can proceed as soon as batches are available.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samplers</strong> (<em>List[Sampler]</em>) – List of Sampler instances</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of observations / samples in a batch</p></li>
+<li><p><strong>n_batches</strong> (<em>int</em>) – Number of batches in an epoch, this sets the iteration limit for
+this object.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes is to be enhanced.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Integer factor by which the temporal axes is to be enhanced.</p></li>
+<li><p><strong>queue_cap</strong> (<em>int</em>) – Maximum number of batches the batch queue can store.</p></li>
+<li><p><strong>transform_kwargs</strong> (<em>Union[Dict, None]</em>) – Dictionary of kwargs to be passed to <cite>self.transform</cite>. This method
+performs smoothing / coarsening.</p></li>
+<li><p><strong>max_workers</strong> (<em>int</em>) – Number of workers / threads to use for getting batches to fill
+queue</p></li>
+<li><p><strong>thread_name</strong> (<em>str</em>) – Name of the queue thread. Default is ‘training’. Used to set name
+to ‘validation’ for <code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code>, which has a training and
+validation queue.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Loading mode. Default is ‘lazy’, which only loads data into memory
+as batches are queued. ‘eager’ will load all data into memory right
+away.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.check_enhancement_factors" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.check_enhancement_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_enhancement_factors</span></code></a>()</p></td>
+<td><p>Make sure the enhancement factors evenly divide the sample_shape.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.check_features" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.check_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_features</span></code></a>()</p></td>
+<td><p>Make sure all samplers have the same sets of features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.check_shared_attr" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.enqueue_batch" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.enqueue_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batch</span></code></a>()</p></td>
+<td><p>Build batch and send to queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.enqueue_batches" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.enqueue_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batches</span></code></a>()</p></td>
+<td><p>Callback function for queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_batch" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_batch</span></code></a>()</p></td>
+<td><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through <code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_container_index" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_container_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_container_index</span></code></a>()</p></td>
+<td><p>Get random container index based on weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_queue" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_queue</span></code></a>()</p></td>
+<td><p>Return FIFO queue for storing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_random_container" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_random_container"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_random_container</span></code></a>()</p></td>
+<td><p>Get random container based on container weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.log_queue_info" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.log_queue_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_queue_info</span></code></a>()</p></td>
+<td><p>Log info about queue size.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.post_init_log" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.post_proc" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.post_proc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_proc</span></code></a>(samples)</p></td>
+<td><p>Performs some post proc on dequeued samples before sending out for training.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.preflight" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run checks before kicking off the queue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.sample_batch" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.sample_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_batch</span></code></a>()</p></td>
+<td><p>Get random sampler from collection and return a batch of samples from that sampler.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.start" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start</span></code></a>()</p></td>
+<td><p>Start thread to keep sample queue full for batches.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.stop" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop</span></code></a>()</p></td>
+<td><p>Stop loading batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.transform" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(samples, **kwargs)</p></td>
+<td><p>Apply transform on batch samples.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.wrap" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.container_weights" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.data" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.features" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.hr_shape" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Shape of high resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.lr_shape" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Shape of low resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.queue_shape" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.queue_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_shape</span></code></a></p></td>
+<td><p>Shape of objects stored in the queue. e.g. for single dataset queues this is (batch_size, <a href="#id1"><span class="problematic" id="id2">*</span></a>sample_shape, len(features)). For dual dataset queues this is [(batch_size, <a href="#id3"><span class="problematic" id="id4">*</span></a>lr_shape), (batch_size, <a href="#id5"><span class="problematic" id="id6">*</span></a>hr_shape)].</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.queue_thread" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.queue_thread"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_thread</span></code></a></p></td>
+<td><p>Get new queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.running" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.running"><code class="xref py py-obj docutils literal notranslate"><span class="pre">running</span></code></a></p></td>
+<td><p>Boolean to check whether to keep enqueueing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.shape" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of Batch(low_res, high_res)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.queue_shape">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.queue_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of objects stored in the queue. e.g. for single dataset queues
+this is (batch_size, <a href="#id7"><span class="problematic" id="id8">*</span></a>sample_shape, len(features)). For dual dataset
+queues this is [(batch_size, <a href="#id9"><span class="problematic" id="id10">*</span></a>lr_shape), (batch_size, <a href="#id11"><span class="problematic" id="id12">*</span></a>hr_shape)]</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_queue">
+<span class="sig-name descname"><span class="pre">get_queue</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/abstract.html#AbstractBatchQueue.get_queue"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_queue" title="Link to this definition">#</a></dt>
+<dd><p>Return FIFO queue for storing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/abstract.html#AbstractBatchQueue.preflight"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run checks before kicking off the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.queue_thread">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_thread</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.queue_thread" title="Link to this definition">#</a></dt>
+<dd><p>Get new queue thread.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.check_features">
+<span class="sig-name descname"><span class="pre">check_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/abstract.html#AbstractBatchQueue.check_features"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.check_features" title="Link to this definition">#</a></dt>
+<dd><p>Make sure all samplers have the same sets of features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.check_enhancement_factors">
+<span class="sig-name descname"><span class="pre">check_enhancement_factors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/abstract.html#AbstractBatchQueue.check_enhancement_factors"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.check_enhancement_factors" title="Link to this definition">#</a></dt>
+<dd><p>Make sure the enhancement factors evenly divide the sample_shape.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.transform">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/abstract.html#AbstractBatchQueue.transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.transform" title="Link to this definition">#</a></dt>
+<dd><p>Apply transform on batch samples. This can include smoothing /
+coarsening depending on the type of queue. e.g. coarsening could be
+included for a single dataset queue where low res samples are coarsened
+high res samples. For a dual dataset queue this will just include
+smoothing.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.post_proc">
+<span class="sig-name descname"><span class="pre">post_proc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/abstract.html#AbstractBatchQueue.post_proc"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.post_proc" title="Link to this definition">#</a></dt>
+<dd><p>Performs some post proc on dequeued samples before sending out for
+training. Post processing can include coarsening on high-res data (if
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code> consists of <code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects and not
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> objects), smoothing, etc</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>Batch</strong> (<em>namedtuple</em>) – namedtuple with <cite>low_res</cite> and <cite>high_res</cite> attributes</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.start">
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/abstract.html#AbstractBatchQueue.start"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.start" title="Link to this definition">#</a></dt>
+<dd><p>Start thread to keep sample queue full for batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.stop">
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/abstract.html#AbstractBatchQueue.stop"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.stop" title="Link to this definition">#</a></dt>
+<dd><p>Stop loading batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_batch">
+<span class="sig-name descname"><span class="pre">get_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/abstract.html#AbstractBatchQueue.get_batch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through
+<code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.running">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">running</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.running" title="Link to this definition">#</a></dt>
+<dd><p>Boolean to check whether to keep enqueueing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.enqueue_batches">
+<span class="sig-name descname"><span class="pre">enqueue_batches</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/abstract.html#AbstractBatchQueue.enqueue_batches"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.enqueue_batches" title="Link to this definition">#</a></dt>
+<dd><p>Callback function for queue thread. While training, the queue is
+checked for empty spots and filled. In the training thread, batches are
+removed from the queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_container_index">
+<span class="sig-name descname"><span class="pre">get_container_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/abstract.html#AbstractBatchQueue.get_container_index"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_container_index" title="Link to this definition">#</a></dt>
+<dd><p>Get random container index based on weights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_random_container">
+<span class="sig-name descname"><span class="pre">get_random_container</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/abstract.html#AbstractBatchQueue.get_random_container"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_random_container" title="Link to this definition">#</a></dt>
+<dd><p>Get random container based on container weights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.sample_batch">
+<span class="sig-name descname"><span class="pre">sample_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/abstract.html#AbstractBatchQueue.sample_batch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.sample_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get random sampler from collection and return a batch of samples
+from that sampler.</p>
+<p class="rubric">Notes</p>
+<p>These samples are wrapped in an <code class="docutils literal notranslate"><span class="pre">np.asarray</span></code> call, so they have been
+loaded into memory.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.log_queue_info">
+<span class="sig-name descname"><span class="pre">log_queue_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/abstract.html#AbstractBatchQueue.log_queue_info"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.log_queue_info" title="Link to this definition">#</a></dt>
+<dd><p>Log info about queue size.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.enqueue_batch">
+<span class="sig-name descname"><span class="pre">enqueue_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/abstract.html#AbstractBatchQueue.enqueue_batch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.enqueue_batch" title="Link to this definition">#</a></dt>
+<dd><p>Build batch and send to queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of low resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of high resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.wrap" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.count"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.index"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.queue_shape"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_queue"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.preflight"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.queue_thread"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.check_features"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.transform"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.post_proc"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.start"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.stop"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_batch"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.running"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_container_index"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_random_container"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.sample_batch"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.log_queue_info"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.lr_shape"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.hr_shape"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.container_weights"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.data"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.features"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.post_init_log"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.shape"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.wrap"><code class="docutils literal notranslate"><span class="pre">AbstractBatchQueue.wrap()</span></code></a></li>
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+  <section id="module-sup3r.preprocessing.batch_queues.abstract">
+<span id="sup3r-preprocessing-batch-queues-abstract"></span><h1>sup3r.preprocessing.batch_queues.abstract<a class="headerlink" href="#module-sup3r.preprocessing.batch_queues.abstract" title="Link to this heading">#</a></h1>
+<p>Abstract batch queue class used for multi-threaded batching / training.</p>
+<dl>
+<dt>TODO:</dt><dd><ol class="arabic simple">
+<li><p>Figure out apparent “blocking” issue with threaded enqueue batches.
+max_workers=1 is the fastest?</p></li>
+</ol>
+<p>(2) Setup distributed data handling so this can work with data distributed
+over multiple nodes.</p>
+</dd>
+</dl>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AbstractBatchQueue</span></code></a>(samplers[, batch_size, ...])</p></td>
+<td><p>Abstract BatchQueue class.</p></td>
+</tr>
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+    <h1>sup3r.preprocessing.batch_queues.base.SingleBatchQueue</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
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+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.queue_shape"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.transform"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.count"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.index"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.check_features"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.container_weights"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.data"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.features"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_batch"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_container_index"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_queue"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_random_container"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.hr_shape"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.log_queue_info"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.lr_shape"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.post_init_log"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.post_proc"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.preflight"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.queue_thread"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.running"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.sample_batch"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.shape"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.start"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.stop"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.wrap"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-batch-queues-base-singlebatchqueue">
+<h1>sup3r.preprocessing.batch_queues.base.SingleBatchQueue<a class="headerlink" href="#sup3r-preprocessing-batch-queues-base-singlebatchqueue" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">SingleBatchQueue</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samplers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler" title="sup3r.preprocessing.samplers.base.Sampler"><span class="pre">Sampler</span></a><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler" title="sup3r.preprocessing.samplers.dual.DualSampler"><span class="pre">DualSampler</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_batches</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">queue_cap</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_kwargs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">thread_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'training'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'lazy'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/base.html#SingleBatchQueue"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">AbstractBatchQueue</span></code></a></p>
+<p>Base BatchQueue class for single dataset containers</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Here we use <cite>len(self.features)</cite> for the last dimension of samples, since
+samples in <a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">SingleBatchQueue</span></code></a> queues are coarsened to produce
+low-res samples, and then the <cite>lr_only_features</cite> are removed with
+<cite>hr_features_ind</cite>. In contrast, for samples in <code class="xref py py-class docutils literal notranslate"><span class="pre">DualBatchQueue</span></code>
+queues there are low / high res pairs and the high-res only stores the
+<cite>hr_features</cite></p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samplers</strong> (<em>List[Sampler]</em>) – List of Sampler instances</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of observations / samples in a batch</p></li>
+<li><p><strong>n_batches</strong> (<em>int</em>) – Number of batches in an epoch, this sets the iteration limit for
+this object.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes is to be enhanced.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Integer factor by which the temporal axes is to be enhanced.</p></li>
+<li><p><strong>queue_cap</strong> (<em>int</em>) – Maximum number of batches the batch queue can store.</p></li>
+<li><p><strong>transform_kwargs</strong> (<em>Union[Dict, None]</em>) – Dictionary of kwargs to be passed to <cite>self.transform</cite>. This method
+performs smoothing / coarsening.</p></li>
+<li><p><strong>max_workers</strong> (<em>int</em>) – Number of workers / threads to use for getting batches to fill
+queue</p></li>
+<li><p><strong>thread_name</strong> (<em>str</em>) – Name of the queue thread. Default is ‘training’. Used to set name
+to ‘validation’ for <code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code>, which has a training and
+validation queue.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Loading mode. Default is ‘lazy’, which only loads data into memory
+as batches are queued. ‘eager’ will load all data into memory right
+away.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.check_enhancement_factors" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.check_enhancement_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_enhancement_factors</span></code></a>()</p></td>
+<td><p>Make sure the enhancement factors evenly divide the sample_shape.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.check_features" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.check_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_features</span></code></a>()</p></td>
+<td><p>Make sure all samplers have the same sets of features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.check_shared_attr" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.enqueue_batch" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.enqueue_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batch</span></code></a>()</p></td>
+<td><p>Build batch and send to queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.enqueue_batches" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.enqueue_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batches</span></code></a>()</p></td>
+<td><p>Callback function for queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_batch" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_batch</span></code></a>()</p></td>
+<td><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through <code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_container_index" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_container_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_container_index</span></code></a>()</p></td>
+<td><p>Get random container index based on weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_queue" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_queue</span></code></a>()</p></td>
+<td><p>Return FIFO queue for storing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_random_container" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_random_container"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_random_container</span></code></a>()</p></td>
+<td><p>Get random container based on container weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.log_queue_info" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.log_queue_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_queue_info</span></code></a>()</p></td>
+<td><p>Log info about queue size.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.post_init_log" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.post_proc" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.post_proc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_proc</span></code></a>(samples)</p></td>
+<td><p>Performs some post proc on dequeued samples before sending out for training.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.preflight" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run checks before kicking off the queue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.sample_batch" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.sample_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_batch</span></code></a>()</p></td>
+<td><p>Get random sampler from collection and return a batch of samples from that sampler.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.start" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start</span></code></a>()</p></td>
+<td><p>Start thread to keep sample queue full for batches.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.stop" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop</span></code></a>()</p></td>
+<td><p>Stop loading batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.transform" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(samples[, smoothing, ...])</p></td>
+<td><p>Coarsen high res data to get corresponding low res batch.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.wrap" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.container_weights" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.data" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.features" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.hr_shape" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Shape of high resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.lr_shape" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Shape of low resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.queue_shape" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.queue_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_shape</span></code></a></p></td>
+<td><p>Shape of objects stored in the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.queue_thread" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.queue_thread"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_thread</span></code></a></p></td>
+<td><p>Get new queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.running" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.running"><code class="xref py py-obj docutils literal notranslate"><span class="pre">running</span></code></a></p></td>
+<td><p>Boolean to check whether to keep enqueueing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.shape" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.queue_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.queue_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of objects stored in the queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.transform">
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_ignore</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_coarsening_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'subsample'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/base.html#SingleBatchQueue.transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.transform" title="Link to this definition">#</a></dt>
+<dd><p>Coarsen high res data to get corresponding low res batch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samples</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – High resolution batch of samples.
+4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>smoothing</strong> (<em>float | None</em>) – Standard deviation to use for gaussian filtering of the coarse
+data. This can be tuned by matching the kinetic energy of a low
+resolution simulation with the kinetic energy of a coarsened and
+smoothed high resolution simulation. If None no smoothing is
+performed.</p></li>
+<li><p><strong>smoothing_ignore</strong> (<em>list | None</em>) – List of features to ignore for the smoothing filter. None will
+smooth all features if smoothing kwarg is not None</p></li>
+<li><p><strong>temporal_coarsening_method</strong> (<em>str</em>) – Method to use for temporal coarsening. Can be subsample, average,
+min, max, or total</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>low_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of Batch(low_res, high_res)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.check_enhancement_factors">
+<span class="sig-name descname"><span class="pre">check_enhancement_factors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.check_enhancement_factors" title="Link to this definition">#</a></dt>
+<dd><p>Make sure the enhancement factors evenly divide the sample_shape.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.check_features">
+<span class="sig-name descname"><span class="pre">check_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.check_features" title="Link to this definition">#</a></dt>
+<dd><p>Make sure all samplers have the same sets of features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.wrap" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.enqueue_batch">
+<span class="sig-name descname"><span class="pre">enqueue_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.enqueue_batch" title="Link to this definition">#</a></dt>
+<dd><p>Build batch and send to queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.enqueue_batches">
+<span class="sig-name descname"><span class="pre">enqueue_batches</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.enqueue_batches" title="Link to this definition">#</a></dt>
+<dd><p>Callback function for queue thread. While training, the queue is
+checked for empty spots and filled. In the training thread, batches are
+removed from the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_batch">
+<span class="sig-name descname"><span class="pre">get_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through
+<code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_container_index">
+<span class="sig-name descname"><span class="pre">get_container_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_container_index" title="Link to this definition">#</a></dt>
+<dd><p>Get random container index based on weights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_queue">
+<span class="sig-name descname"><span class="pre">get_queue</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_queue" title="Link to this definition">#</a></dt>
+<dd><p>Return FIFO queue for storing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_random_container">
+<span class="sig-name descname"><span class="pre">get_random_container</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_random_container" title="Link to this definition">#</a></dt>
+<dd><p>Get random container based on container weights</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of high resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.log_queue_info">
+<span class="sig-name descname"><span class="pre">log_queue_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.log_queue_info" title="Link to this definition">#</a></dt>
+<dd><p>Log info about queue size.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of low resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.post_proc">
+<span class="sig-name descname"><span class="pre">post_proc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.post_proc" title="Link to this definition">#</a></dt>
+<dd><p>Performs some post proc on dequeued samples before sending out for
+training. Post processing can include coarsening on high-res data (if
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code> consists of <code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects and not
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> objects), smoothing, etc</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>Batch</strong> (<em>namedtuple</em>) – namedtuple with <cite>low_res</cite> and <cite>high_res</cite> attributes</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run checks before kicking off the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.queue_thread">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_thread</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.queue_thread" title="Link to this definition">#</a></dt>
+<dd><p>Get new queue thread.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.running">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">running</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.running" title="Link to this definition">#</a></dt>
+<dd><p>Boolean to check whether to keep enqueueing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.sample_batch">
+<span class="sig-name descname"><span class="pre">sample_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.sample_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get random sampler from collection and return a batch of samples
+from that sampler.</p>
+<p class="rubric">Notes</p>
+<p>These samples are wrapped in an <code class="docutils literal notranslate"><span class="pre">np.asarray</span></code> call, so they have been
+loaded into memory.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.start">
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.start" title="Link to this definition">#</a></dt>
+<dd><p>Start thread to keep sample queue full for batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.stop">
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.stop" title="Link to this definition">#</a></dt>
+<dd><p>Stop loading batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.queue_shape"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.transform"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.count"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.index"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.check_features"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.container_weights"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.data"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.features"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_batch"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_container_index"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_queue"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_random_container"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.hr_shape"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.log_queue_info"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.lr_shape"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.post_init_log"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.post_proc"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.preflight"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.queue_thread"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.running"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.sample_batch"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.shape"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.start"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.stop"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.wrap"><code class="docutils literal notranslate"><span class="pre">SingleBatchQueue.wrap()</span></code></a></li>
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+<span id="sup3r-preprocessing-batch-queues-base"></span><h1>sup3r.preprocessing.batch_queues.base<a class="headerlink" href="#module-sup3r.preprocessing.batch_queues.base" title="Link to this heading">#</a></h1>
+<p>Base objects which generate, build, and operate on batches. Also can
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+    <h1>sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.ConditionalBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.__add__"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.ConditionalBatch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.__mul__"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.ConditionalBatch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.count"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.ConditionalBatch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.high_res"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.ConditionalBatch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.index"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.ConditionalBatch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.low_res"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.ConditionalBatch.low_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.mask"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.ConditionalBatch.mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.output"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.ConditionalBatch.output</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.make_mask"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.make_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.make_output"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.make_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.post_proc"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.count"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.index"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.check_features"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.container_weights"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.data"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.features"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_batch"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_container_index"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_queue"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_random_container"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.hr_shape"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.log_queue_info"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.lr_shape"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.post_init_log"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.preflight"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.queue_shape"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.queue_thread"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.running"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.sample_batch"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.shape"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.start"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.stop"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.transform"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.wrap"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-batch-queues-conditional-conditionalbatchqueue">
+<h1>sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue<a class="headerlink" href="#sup3r-preprocessing-batch-queues-conditional-conditionalbatchqueue" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ConditionalBatchQueue</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samplers</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_enhance_mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'constant'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lower_models</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">end_t_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_batches</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">queue_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">thread_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'training'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'lazy'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/conditional.html#ConditionalBatchQueue"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">SingleBatchQueue</span></code></a></p>
+<p>BatchQueue class for conditional moment estimation.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samplers</strong> (<em>List[Sampler]</em>) – List of Sampler instances</p></li>
+<li><p><strong>time_enhance_mode</strong> (<em>str</em>) – [constant, linear]
+Method to enhance temporally when constructing subfilter. At every
+temporal location, a low-res temporal data is subtracted from the
+high-res temporal data predicted.  constant will assume that the
+low-res temporal data is constant between landmarks.  linear will
+linearly interpolate between landmarks to generate the low-res data
+to remove from the high-res.</p></li>
+<li><p><strong>lower_models</strong> (<em>Dict[int, Sup3rCondMom] | None</em>) – Dictionary of models that predict lower moments. For example, if
+this queue is part of a handler to estimate the 3rd moment
+<cite>lower_models</cite> could include models that estimate the 1st and 2nd
+moments. These lower moments can be required in higher order moment
+calculations.</p></li>
+<li><p><strong>s_padding</strong> (<em>int | None</em>) – Width of spatial padding to predict only middle part. If None, no
+padding is used</p></li>
+<li><p><strong>t_padding</strong> (<em>int | None</em>) – Width of temporal padding to predict only middle part. If None, no
+padding is used</p></li>
+<li><p><strong>end_t_padding</strong> (<em>bool | False</em>) – Zero pad the end of temporal space.  Ensures that loss is
+calculated only if snapshot is surrounded by temporal landmarks.
+False by default</p></li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Keyword arguments for parent class</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of observations / samples in a batch</p></li>
+<li><p><strong>n_batches</strong> (<em>int</em>) – Number of batches in an epoch, this sets the iteration limit for
+this object.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes is to be enhanced.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Integer factor by which the temporal axes is to be enhanced.</p></li>
+<li><p><strong>queue_cap</strong> (<em>int</em>) – Maximum number of batches the batch queue can store.</p></li>
+<li><p><strong>transform_kwargs</strong> (<em>Union[Dict, None]</em>) – Dictionary of kwargs to be passed to <cite>self.transform</cite>. This method
+performs smoothing / coarsening.</p></li>
+<li><p><strong>thread_name</strong> (<em>str</em>) – Name of the queue thread. Default is ‘training’. Used to set name
+to ‘validation’ for <code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code>, which has a training and
+validation queue.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Loading mode. Default is ‘lazy’, which only loads data into memory
+as batches are queued. ‘eager’ will load all data into memory right
+away.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.check_enhancement_factors" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.check_enhancement_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_enhancement_factors</span></code></a>()</p></td>
+<td><p>Make sure the enhancement factors evenly divide the sample_shape.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.check_features" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.check_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_features</span></code></a>()</p></td>
+<td><p>Make sure all samplers have the same sets of features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.check_shared_attr" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.enqueue_batch" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.enqueue_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batch</span></code></a>()</p></td>
+<td><p>Build batch and send to queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.enqueue_batches" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.enqueue_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batches</span></code></a>()</p></td>
+<td><p>Callback function for queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_batch" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_batch</span></code></a>()</p></td>
+<td><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through <code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_container_index" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_container_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_container_index</span></code></a>()</p></td>
+<td><p>Get random container index based on weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_queue" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_queue</span></code></a>()</p></td>
+<td><p>Return FIFO queue for storing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_random_container" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_random_container"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_random_container</span></code></a>()</p></td>
+<td><p>Get random container based on container weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.log_queue_info" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.log_queue_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_queue_info</span></code></a>()</p></td>
+<td><p>Log info about queue size.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.make_mask" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.make_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_mask</span></code></a>(high_res)</p></td>
+<td><p>Make mask for output.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.make_output" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.make_output"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_output</span></code></a>(samples)</p></td>
+<td><p>Make custom batch output.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.post_init_log" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.post_proc" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.post_proc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_proc</span></code></a>(samples)</p></td>
+<td><p>Returns normalized collection of samples / observations along with mask and target output for conditional moment estimation.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.preflight" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run checks before kicking off the queue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.sample_batch" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.sample_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_batch</span></code></a>()</p></td>
+<td><p>Get random sampler from collection and return a batch of samples from that sampler.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.start" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start</span></code></a>()</p></td>
+<td><p>Start thread to keep sample queue full for batches.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.stop" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop</span></code></a>()</p></td>
+<td><p>Stop loading batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.transform" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(samples[, smoothing, ...])</p></td>
+<td><p>Coarsen high res data to get corresponding low res batch.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.wrap" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.container_weights" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.data" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.features" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.hr_shape" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Shape of high resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.lr_shape" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Shape of low resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.queue_shape" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.queue_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_shape</span></code></a></p></td>
+<td><p>Shape of objects stored in the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.queue_thread" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.queue_thread"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_thread</span></code></a></p></td>
+<td><p>Get new queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.running" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.running"><code class="xref py py-obj docutils literal notranslate"><span class="pre">running</span></code></a></p></td>
+<td><p>Boolean to check whether to keep enqueueing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.shape" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ConditionalBatch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of ConditionalBatch(low_res, high_res, output, mask)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.mask">
+<span class="sig-name descname"><span class="pre">mask</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.mask" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 3</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.output">
+<span class="sig-name descname"><span class="pre">output</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.output" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 2</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.make_mask">
+<span class="sig-name descname"><span class="pre">make_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/conditional.html#ConditionalBatchQueue.make_mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.make_mask" title="Link to this definition">#</a></dt>
+<dd><p>Make mask for output. This is used to ensure consistency when
+training conditional moments.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Consider the case of learning E(HR|LR) where HR is the high_res and LR
+is the low_res. In theory, the conditional moment estimation works if
+the full LR is passed as input and predicts the full HR. In practice,
+only the LR data that overlaps and surrounds the HR data is useful, ie
+E(HR|LR) = E(HR|LR_nei) where LR_nei is the LR data that surrounds the
+HR data. Physically, this is equivalent to saying that data far away
+from a region of interest does not matter.  This allows learning the
+conditional moments on spatial and temporal chunks only if one
+restricts the high_res output as being overlapped and surrounded by the
+input low_res.  The role of the mask is to ensure that the input
+low_res always surrounds the output high_res.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>mask</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.make_output">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">make_output</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/conditional.html#ConditionalBatchQueue.make_output"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.make_output" title="Link to this definition">#</a></dt>
+<dd><p>Make custom batch output. This depends on the moment type being
+estimated. e.g. This could be the 1st moment, which is just high_res
+or the 2nd moment, which is (high_res - 1st moment) ** 2</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>samples</strong> (<em>Tuple[Union[np.ndarray, da.core.Array], …]</em>) – Tuple of low_res, high_res. Each array is:
+4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>output</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.post_proc">
+<span class="sig-name descname"><span class="pre">post_proc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/conditional.html#ConditionalBatchQueue.post_proc"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.post_proc" title="Link to this definition">#</a></dt>
+<dd><p>Returns normalized collection of samples / observations along with
+mask and target output for conditional moment estimation. Performs
+coarsening on high-res data if <code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code> consists of
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects and not <code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> objects</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>namedtuple</em> – Named tuple with <cite>low_res</cite>, <cite>high_res</cite>, <cite>mask</cite>, and <cite>output</cite>
+attributes</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of Batch(low_res, high_res)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.check_enhancement_factors">
+<span class="sig-name descname"><span class="pre">check_enhancement_factors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.check_enhancement_factors" title="Link to this definition">#</a></dt>
+<dd><p>Make sure the enhancement factors evenly divide the sample_shape.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.check_features">
+<span class="sig-name descname"><span class="pre">check_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.check_features" title="Link to this definition">#</a></dt>
+<dd><p>Make sure all samplers have the same sets of features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.wrap" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.enqueue_batch">
+<span class="sig-name descname"><span class="pre">enqueue_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.enqueue_batch" title="Link to this definition">#</a></dt>
+<dd><p>Build batch and send to queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.enqueue_batches">
+<span class="sig-name descname"><span class="pre">enqueue_batches</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.enqueue_batches" title="Link to this definition">#</a></dt>
+<dd><p>Callback function for queue thread. While training, the queue is
+checked for empty spots and filled. In the training thread, batches are
+removed from the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_batch">
+<span class="sig-name descname"><span class="pre">get_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through
+<code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_container_index">
+<span class="sig-name descname"><span class="pre">get_container_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_container_index" title="Link to this definition">#</a></dt>
+<dd><p>Get random container index based on weights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_queue">
+<span class="sig-name descname"><span class="pre">get_queue</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_queue" title="Link to this definition">#</a></dt>
+<dd><p>Return FIFO queue for storing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_random_container">
+<span class="sig-name descname"><span class="pre">get_random_container</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_random_container" title="Link to this definition">#</a></dt>
+<dd><p>Get random container based on container weights</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of high resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.log_queue_info">
+<span class="sig-name descname"><span class="pre">log_queue_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.log_queue_info" title="Link to this definition">#</a></dt>
+<dd><p>Log info about queue size.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of low resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run checks before kicking off the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.queue_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.queue_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of objects stored in the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.queue_thread">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_thread</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.queue_thread" title="Link to this definition">#</a></dt>
+<dd><p>Get new queue thread.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.running">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">running</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.running" title="Link to this definition">#</a></dt>
+<dd><p>Boolean to check whether to keep enqueueing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.sample_batch">
+<span class="sig-name descname"><span class="pre">sample_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.sample_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get random sampler from collection and return a batch of samples
+from that sampler.</p>
+<p class="rubric">Notes</p>
+<p>These samples are wrapped in an <code class="docutils literal notranslate"><span class="pre">np.asarray</span></code> call, so they have been
+loaded into memory.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.start">
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.start" title="Link to this definition">#</a></dt>
+<dd><p>Start thread to keep sample queue full for batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.stop">
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.stop" title="Link to this definition">#</a></dt>
+<dd><p>Stop loading batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.transform">
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_ignore</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_coarsening_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'subsample'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.transform" title="Link to this definition">#</a></dt>
+<dd><p>Coarsen high res data to get corresponding low res batch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samples</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – High resolution batch of samples.
+4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>smoothing</strong> (<em>float | None</em>) – Standard deviation to use for gaussian filtering of the coarse
+data. This can be tuned by matching the kinetic energy of a low
+resolution simulation with the kinetic energy of a coarsened and
+smoothed high resolution simulation. If None no smoothing is
+performed.</p></li>
+<li><p><strong>smoothing_ignore</strong> (<em>list | None</em>) – List of features to ignore for the smoothing filter. None will
+smooth all features if smoothing kwarg is not None</p></li>
+<li><p><strong>temporal_coarsening_method</strong> (<em>str</em>) – Method to use for temporal coarsening. Can be subsample, average,
+min, max, or total</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>low_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
+              
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.ConditionalBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.__add__"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.ConditionalBatch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.__mul__"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.ConditionalBatch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.count"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.ConditionalBatch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.high_res"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.ConditionalBatch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.index"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.ConditionalBatch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.low_res"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.ConditionalBatch.low_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.mask"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.ConditionalBatch.mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.output"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.ConditionalBatch.output</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.make_mask"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.make_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.make_output"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.make_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.post_proc"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.count"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.index"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.check_features"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.container_weights"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.data"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.features"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_batch"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_container_index"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_queue"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_random_container"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.hr_shape"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.log_queue_info"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.lr_shape"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.post_init_log"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.preflight"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.queue_shape"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.queue_thread"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.running"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.sample_batch"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.shape"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.start"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.stop"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.transform"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.wrap"><code class="docutils literal notranslate"><span class="pre">ConditionalBatchQueue.wrap()</span></code></a></li>
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+    <h1>sup3r.preprocessing.batch_queues.conditional.QueueMom1</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1"><code class="docutils literal notranslate"><span class="pre">QueueMom1</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.make_output"><code class="docutils literal notranslate"><span class="pre">QueueMom1.make_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch"><code class="docutils literal notranslate"><span class="pre">QueueMom1.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">QueueMom1.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">QueueMom1.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.count"><code class="docutils literal notranslate"><span class="pre">QueueMom1.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">QueueMom1.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.index"><code class="docutils literal notranslate"><span class="pre">QueueMom1.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">QueueMom1.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch"><code class="docutils literal notranslate"><span class="pre">QueueMom1.ConditionalBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.__add__"><code class="docutils literal notranslate"><span class="pre">QueueMom1.ConditionalBatch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.__mul__"><code class="docutils literal notranslate"><span class="pre">QueueMom1.ConditionalBatch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.count"><code class="docutils literal notranslate"><span class="pre">QueueMom1.ConditionalBatch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.high_res"><code class="docutils literal notranslate"><span class="pre">QueueMom1.ConditionalBatch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.index"><code class="docutils literal notranslate"><span class="pre">QueueMom1.ConditionalBatch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.low_res"><code class="docutils literal notranslate"><span class="pre">QueueMom1.ConditionalBatch.low_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.mask"><code class="docutils literal notranslate"><span class="pre">QueueMom1.ConditionalBatch.mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.output"><code class="docutils literal notranslate"><span class="pre">QueueMom1.ConditionalBatch.output</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">QueueMom1.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.check_features"><code class="docutils literal notranslate"><span class="pre">QueueMom1.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">QueueMom1.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.container_weights"><code class="docutils literal notranslate"><span class="pre">QueueMom1.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.data"><code class="docutils literal notranslate"><span class="pre">QueueMom1.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom1.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">QueueMom1.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.features"><code class="docutils literal notranslate"><span class="pre">QueueMom1.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom1.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_container_index"><code class="docutils literal notranslate"><span class="pre">QueueMom1.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_queue"><code class="docutils literal notranslate"><span class="pre">QueueMom1.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_random_container"><code class="docutils literal notranslate"><span class="pre">QueueMom1.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.hr_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom1.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.log_queue_info"><code class="docutils literal notranslate"><span class="pre">QueueMom1.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.lr_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom1.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.make_mask"><code class="docutils literal notranslate"><span class="pre">QueueMom1.make_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.post_init_log"><code class="docutils literal notranslate"><span class="pre">QueueMom1.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.post_proc"><code class="docutils literal notranslate"><span class="pre">QueueMom1.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.preflight"><code class="docutils literal notranslate"><span class="pre">QueueMom1.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.queue_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom1.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.queue_thread"><code class="docutils literal notranslate"><span class="pre">QueueMom1.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.running"><code class="docutils literal notranslate"><span class="pre">QueueMom1.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.sample_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom1.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.shape"><code class="docutils literal notranslate"><span class="pre">QueueMom1.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.start"><code class="docutils literal notranslate"><span class="pre">QueueMom1.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.stop"><code class="docutils literal notranslate"><span class="pre">QueueMom1.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.transform"><code class="docutils literal notranslate"><span class="pre">QueueMom1.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.wrap"><code class="docutils literal notranslate"><span class="pre">QueueMom1.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-batch-queues-conditional-queuemom1">
+<h1>sup3r.preprocessing.batch_queues.conditional.QueueMom1<a class="headerlink" href="#sup3r-preprocessing-batch-queues-conditional-queuemom1" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">QueueMom1</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samplers</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_enhance_mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'constant'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lower_models</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">end_t_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_batches</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">queue_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">thread_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'training'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'lazy'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/conditional.html#QueueMom1"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">ConditionalBatchQueue</span></code></a></p>
+<p>Batch handling class for conditional estimation of first moment</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samplers</strong> (<em>List[Sampler]</em>) – List of Sampler instances</p></li>
+<li><p><strong>time_enhance_mode</strong> (<em>str</em>) – [constant, linear]
+Method to enhance temporally when constructing subfilter. At every
+temporal location, a low-res temporal data is subtracted from the
+high-res temporal data predicted.  constant will assume that the
+low-res temporal data is constant between landmarks.  linear will
+linearly interpolate between landmarks to generate the low-res data
+to remove from the high-res.</p></li>
+<li><p><strong>lower_models</strong> (<em>Dict[int, Sup3rCondMom] | None</em>) – Dictionary of models that predict lower moments. For example, if
+this queue is part of a handler to estimate the 3rd moment
+<cite>lower_models</cite> could include models that estimate the 1st and 2nd
+moments. These lower moments can be required in higher order moment
+calculations.</p></li>
+<li><p><strong>s_padding</strong> (<em>int | None</em>) – Width of spatial padding to predict only middle part. If None, no
+padding is used</p></li>
+<li><p><strong>t_padding</strong> (<em>int | None</em>) – Width of temporal padding to predict only middle part. If None, no
+padding is used</p></li>
+<li><p><strong>end_t_padding</strong> (<em>bool | False</em>) – Zero pad the end of temporal space.  Ensures that loss is
+calculated only if snapshot is surrounded by temporal landmarks.
+False by default</p></li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Keyword arguments for parent class</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of observations / samples in a batch</p></li>
+<li><p><strong>n_batches</strong> (<em>int</em>) – Number of batches in an epoch, this sets the iteration limit for
+this object.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes is to be enhanced.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Integer factor by which the temporal axes is to be enhanced.</p></li>
+<li><p><strong>queue_cap</strong> (<em>int</em>) – Maximum number of batches the batch queue can store.</p></li>
+<li><p><strong>transform_kwargs</strong> (<em>Union[Dict, None]</em>) – Dictionary of kwargs to be passed to <cite>self.transform</cite>. This method
+performs smoothing / coarsening.</p></li>
+<li><p><strong>thread_name</strong> (<em>str</em>) – Name of the queue thread. Default is ‘training’. Used to set name
+to ‘validation’ for <code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code>, which has a training and
+validation queue.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Loading mode. Default is ‘lazy’, which only loads data into memory
+as batches are queued. ‘eager’ will load all data into memory right
+away.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.check_enhancement_factors" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.check_enhancement_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_enhancement_factors</span></code></a>()</p></td>
+<td><p>Make sure the enhancement factors evenly divide the sample_shape.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.check_features" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.check_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_features</span></code></a>()</p></td>
+<td><p>Make sure all samplers have the same sets of features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.check_shared_attr" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.enqueue_batch" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.enqueue_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batch</span></code></a>()</p></td>
+<td><p>Build batch and send to queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.enqueue_batches" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.enqueue_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batches</span></code></a>()</p></td>
+<td><p>Callback function for queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_batch" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_batch</span></code></a>()</p></td>
+<td><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through <code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_container_index" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_container_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_container_index</span></code></a>()</p></td>
+<td><p>Get random container index based on weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_queue" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_queue</span></code></a>()</p></td>
+<td><p>Return FIFO queue for storing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_random_container" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_random_container"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_random_container</span></code></a>()</p></td>
+<td><p>Get random container based on container weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.log_queue_info" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.log_queue_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_queue_info</span></code></a>()</p></td>
+<td><p>Log info about queue size.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.make_mask" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.make_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_mask</span></code></a>(high_res)</p></td>
+<td><p>Make mask for output.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.make_output" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.make_output"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_output</span></code></a>(samples)</p></td>
+<td><p>For the 1st moment the output is simply the high_res</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.post_init_log" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.post_proc" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.post_proc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_proc</span></code></a>(samples)</p></td>
+<td><p>Returns normalized collection of samples / observations along with mask and target output for conditional moment estimation.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.preflight" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run checks before kicking off the queue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.sample_batch" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.sample_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_batch</span></code></a>()</p></td>
+<td><p>Get random sampler from collection and return a batch of samples from that sampler.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.start" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start</span></code></a>()</p></td>
+<td><p>Start thread to keep sample queue full for batches.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.stop" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop</span></code></a>()</p></td>
+<td><p>Stop loading batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.transform" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(samples[, smoothing, ...])</p></td>
+<td><p>Coarsen high res data to get corresponding low res batch.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.wrap" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.container_weights" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.data" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.features" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.hr_shape" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Shape of high resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.lr_shape" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Shape of low resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.queue_shape" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.queue_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_shape</span></code></a></p></td>
+<td><p>Shape of objects stored in the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.queue_thread" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.queue_thread"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_thread</span></code></a></p></td>
+<td><p>Get new queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.running" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.running"><code class="xref py py-obj docutils literal notranslate"><span class="pre">running</span></code></a></p></td>
+<td><p>Boolean to check whether to keep enqueueing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.shape" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.make_output">
+<span class="sig-name descname"><span class="pre">make_output</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/conditional.html#QueueMom1.make_output"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.make_output" title="Link to this definition">#</a></dt>
+<dd><p>For the 1st moment the output is simply the high_res</p>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of Batch(low_res, high_res)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ConditionalBatch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of ConditionalBatch(low_res, high_res, output, mask)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.mask">
+<span class="sig-name descname"><span class="pre">mask</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.mask" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 3</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.output">
+<span class="sig-name descname"><span class="pre">output</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.output" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 2</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.check_enhancement_factors">
+<span class="sig-name descname"><span class="pre">check_enhancement_factors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.check_enhancement_factors" title="Link to this definition">#</a></dt>
+<dd><p>Make sure the enhancement factors evenly divide the sample_shape.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.check_features">
+<span class="sig-name descname"><span class="pre">check_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.check_features" title="Link to this definition">#</a></dt>
+<dd><p>Make sure all samplers have the same sets of features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.wrap" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.enqueue_batch">
+<span class="sig-name descname"><span class="pre">enqueue_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.enqueue_batch" title="Link to this definition">#</a></dt>
+<dd><p>Build batch and send to queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.enqueue_batches">
+<span class="sig-name descname"><span class="pre">enqueue_batches</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.enqueue_batches" title="Link to this definition">#</a></dt>
+<dd><p>Callback function for queue thread. While training, the queue is
+checked for empty spots and filled. In the training thread, batches are
+removed from the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_batch">
+<span class="sig-name descname"><span class="pre">get_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through
+<code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_container_index">
+<span class="sig-name descname"><span class="pre">get_container_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_container_index" title="Link to this definition">#</a></dt>
+<dd><p>Get random container index based on weights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_queue">
+<span class="sig-name descname"><span class="pre">get_queue</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_queue" title="Link to this definition">#</a></dt>
+<dd><p>Return FIFO queue for storing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_random_container">
+<span class="sig-name descname"><span class="pre">get_random_container</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_random_container" title="Link to this definition">#</a></dt>
+<dd><p>Get random container based on container weights</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of high resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.log_queue_info">
+<span class="sig-name descname"><span class="pre">log_queue_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.log_queue_info" title="Link to this definition">#</a></dt>
+<dd><p>Log info about queue size.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of low resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.make_mask">
+<span class="sig-name descname"><span class="pre">make_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.make_mask" title="Link to this definition">#</a></dt>
+<dd><p>Make mask for output. This is used to ensure consistency when
+training conditional moments.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Consider the case of learning E(HR|LR) where HR is the high_res and LR
+is the low_res. In theory, the conditional moment estimation works if
+the full LR is passed as input and predicts the full HR. In practice,
+only the LR data that overlaps and surrounds the HR data is useful, ie
+E(HR|LR) = E(HR|LR_nei) where LR_nei is the LR data that surrounds the
+HR data. Physically, this is equivalent to saying that data far away
+from a region of interest does not matter.  This allows learning the
+conditional moments on spatial and temporal chunks only if one
+restricts the high_res output as being overlapped and surrounded by the
+input low_res.  The role of the mask is to ensure that the input
+low_res always surrounds the output high_res.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>mask</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.post_proc">
+<span class="sig-name descname"><span class="pre">post_proc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.post_proc" title="Link to this definition">#</a></dt>
+<dd><p>Returns normalized collection of samples / observations along with
+mask and target output for conditional moment estimation. Performs
+coarsening on high-res data if <code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code> consists of
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects and not <code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> objects</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>namedtuple</em> – Named tuple with <cite>low_res</cite>, <cite>high_res</cite>, <cite>mask</cite>, and <cite>output</cite>
+attributes</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run checks before kicking off the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.queue_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.queue_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of objects stored in the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.queue_thread">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_thread</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.queue_thread" title="Link to this definition">#</a></dt>
+<dd><p>Get new queue thread.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.running">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">running</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.running" title="Link to this definition">#</a></dt>
+<dd><p>Boolean to check whether to keep enqueueing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.sample_batch">
+<span class="sig-name descname"><span class="pre">sample_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.sample_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get random sampler from collection and return a batch of samples
+from that sampler.</p>
+<p class="rubric">Notes</p>
+<p>These samples are wrapped in an <code class="docutils literal notranslate"><span class="pre">np.asarray</span></code> call, so they have been
+loaded into memory.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.start">
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.start" title="Link to this definition">#</a></dt>
+<dd><p>Start thread to keep sample queue full for batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.stop">
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.stop" title="Link to this definition">#</a></dt>
+<dd><p>Stop loading batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.transform">
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_ignore</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_coarsening_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'subsample'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.transform" title="Link to this definition">#</a></dt>
+<dd><p>Coarsen high res data to get corresponding low res batch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samples</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – High resolution batch of samples.
+4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>smoothing</strong> (<em>float | None</em>) – Standard deviation to use for gaussian filtering of the coarse
+data. This can be tuned by matching the kinetic energy of a low
+resolution simulation with the kinetic energy of a coarsened and
+smoothed high resolution simulation. If None no smoothing is
+performed.</p></li>
+<li><p><strong>smoothing_ignore</strong> (<em>list | None</em>) – List of features to ignore for the smoothing filter. None will
+smooth all features if smoothing kwarg is not None</p></li>
+<li><p><strong>temporal_coarsening_method</strong> (<em>str</em>) – Method to use for temporal coarsening. Can be subsample, average,
+min, max, or total</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>low_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
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+    <i class="fa-solid fa-list"></i> Contents
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+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1"><code class="docutils literal notranslate"><span class="pre">QueueMom1</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.make_output"><code class="docutils literal notranslate"><span class="pre">QueueMom1.make_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch"><code class="docutils literal notranslate"><span class="pre">QueueMom1.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">QueueMom1.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">QueueMom1.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.count"><code class="docutils literal notranslate"><span class="pre">QueueMom1.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">QueueMom1.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.index"><code class="docutils literal notranslate"><span class="pre">QueueMom1.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">QueueMom1.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch"><code class="docutils literal notranslate"><span class="pre">QueueMom1.ConditionalBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.__add__"><code class="docutils literal notranslate"><span class="pre">QueueMom1.ConditionalBatch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.__mul__"><code class="docutils literal notranslate"><span class="pre">QueueMom1.ConditionalBatch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.count"><code class="docutils literal notranslate"><span class="pre">QueueMom1.ConditionalBatch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.high_res"><code class="docutils literal notranslate"><span class="pre">QueueMom1.ConditionalBatch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.index"><code class="docutils literal notranslate"><span class="pre">QueueMom1.ConditionalBatch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.low_res"><code class="docutils literal notranslate"><span class="pre">QueueMom1.ConditionalBatch.low_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.mask"><code class="docutils literal notranslate"><span class="pre">QueueMom1.ConditionalBatch.mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.output"><code class="docutils literal notranslate"><span class="pre">QueueMom1.ConditionalBatch.output</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">QueueMom1.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.check_features"><code class="docutils literal notranslate"><span class="pre">QueueMom1.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">QueueMom1.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.container_weights"><code class="docutils literal notranslate"><span class="pre">QueueMom1.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.data"><code class="docutils literal notranslate"><span class="pre">QueueMom1.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom1.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">QueueMom1.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.features"><code class="docutils literal notranslate"><span class="pre">QueueMom1.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom1.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_container_index"><code class="docutils literal notranslate"><span class="pre">QueueMom1.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_queue"><code class="docutils literal notranslate"><span class="pre">QueueMom1.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_random_container"><code class="docutils literal notranslate"><span class="pre">QueueMom1.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.hr_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom1.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.log_queue_info"><code class="docutils literal notranslate"><span class="pre">QueueMom1.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.lr_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom1.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.make_mask"><code class="docutils literal notranslate"><span class="pre">QueueMom1.make_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.post_init_log"><code class="docutils literal notranslate"><span class="pre">QueueMom1.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.post_proc"><code class="docutils literal notranslate"><span class="pre">QueueMom1.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.preflight"><code class="docutils literal notranslate"><span class="pre">QueueMom1.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.queue_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom1.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.queue_thread"><code class="docutils literal notranslate"><span class="pre">QueueMom1.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.running"><code class="docutils literal notranslate"><span class="pre">QueueMom1.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.sample_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom1.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.shape"><code class="docutils literal notranslate"><span class="pre">QueueMom1.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.start"><code class="docutils literal notranslate"><span class="pre">QueueMom1.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.stop"><code class="docutils literal notranslate"><span class="pre">QueueMom1.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.transform"><code class="docutils literal notranslate"><span class="pre">QueueMom1.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1.wrap"><code class="docutils literal notranslate"><span class="pre">QueueMom1.wrap()</span></code></a></li>
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new file mode 100644
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+    <h1>sup3r.preprocessing.batch_queues.conditional.QueueMom1SF</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
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+            <div>
+                <h2> Contents </h2>
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+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.make_output"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.make_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.count"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.index"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.ConditionalBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.__add__"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.ConditionalBatch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.__mul__"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.ConditionalBatch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.count"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.ConditionalBatch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.high_res"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.ConditionalBatch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.index"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.ConditionalBatch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.low_res"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.ConditionalBatch.low_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.mask"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.ConditionalBatch.mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.output"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.ConditionalBatch.output</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.check_features"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.container_weights"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.data"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.features"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_container_index"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_queue"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_random_container"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.hr_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.log_queue_info"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.lr_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.make_mask"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.make_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.post_init_log"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.post_proc"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.preflight"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.queue_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.queue_thread"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.running"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.sample_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.shape"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.start"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.stop"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.transform"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.wrap"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.wrap()</span></code></a></li>
+</ul>
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+  <section id="sup3r-preprocessing-batch-queues-conditional-queuemom1sf">
+<h1>sup3r.preprocessing.batch_queues.conditional.QueueMom1SF<a class="headerlink" href="#sup3r-preprocessing-batch-queues-conditional-queuemom1sf" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">QueueMom1SF</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samplers</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_enhance_mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'constant'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lower_models</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">end_t_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_batches</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">queue_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">thread_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'training'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'lazy'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/conditional.html#QueueMom1SF"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">ConditionalBatchQueue</span></code></a></p>
+<p>Batch handling class for conditional estimation of first moment
+of subfilter velocity</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samplers</strong> (<em>List[Sampler]</em>) – List of Sampler instances</p></li>
+<li><p><strong>time_enhance_mode</strong> (<em>str</em>) – [constant, linear]
+Method to enhance temporally when constructing subfilter. At every
+temporal location, a low-res temporal data is subtracted from the
+high-res temporal data predicted.  constant will assume that the
+low-res temporal data is constant between landmarks.  linear will
+linearly interpolate between landmarks to generate the low-res data
+to remove from the high-res.</p></li>
+<li><p><strong>lower_models</strong> (<em>Dict[int, Sup3rCondMom] | None</em>) – Dictionary of models that predict lower moments. For example, if
+this queue is part of a handler to estimate the 3rd moment
+<cite>lower_models</cite> could include models that estimate the 1st and 2nd
+moments. These lower moments can be required in higher order moment
+calculations.</p></li>
+<li><p><strong>s_padding</strong> (<em>int | None</em>) – Width of spatial padding to predict only middle part. If None, no
+padding is used</p></li>
+<li><p><strong>t_padding</strong> (<em>int | None</em>) – Width of temporal padding to predict only middle part. If None, no
+padding is used</p></li>
+<li><p><strong>end_t_padding</strong> (<em>bool | False</em>) – Zero pad the end of temporal space.  Ensures that loss is
+calculated only if snapshot is surrounded by temporal landmarks.
+False by default</p></li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Keyword arguments for parent class</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of observations / samples in a batch</p></li>
+<li><p><strong>n_batches</strong> (<em>int</em>) – Number of batches in an epoch, this sets the iteration limit for
+this object.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes is to be enhanced.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Integer factor by which the temporal axes is to be enhanced.</p></li>
+<li><p><strong>queue_cap</strong> (<em>int</em>) – Maximum number of batches the batch queue can store.</p></li>
+<li><p><strong>transform_kwargs</strong> (<em>Union[Dict, None]</em>) – Dictionary of kwargs to be passed to <cite>self.transform</cite>. This method
+performs smoothing / coarsening.</p></li>
+<li><p><strong>thread_name</strong> (<em>str</em>) – Name of the queue thread. Default is ‘training’. Used to set name
+to ‘validation’ for <code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code>, which has a training and
+validation queue.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Loading mode. Default is ‘lazy’, which only loads data into memory
+as batches are queued. ‘eager’ will load all data into memory right
+away.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.check_enhancement_factors" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.check_enhancement_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_enhancement_factors</span></code></a>()</p></td>
+<td><p>Make sure the enhancement factors evenly divide the sample_shape.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.check_features" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.check_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_features</span></code></a>()</p></td>
+<td><p>Make sure all samplers have the same sets of features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.check_shared_attr" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.enqueue_batch" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.enqueue_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batch</span></code></a>()</p></td>
+<td><p>Build batch and send to queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.enqueue_batches" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.enqueue_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batches</span></code></a>()</p></td>
+<td><p>Callback function for queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_batch" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_batch</span></code></a>()</p></td>
+<td><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through <code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_container_index" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_container_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_container_index</span></code></a>()</p></td>
+<td><p>Get random container index based on weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_queue" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_queue</span></code></a>()</p></td>
+<td><p>Return FIFO queue for storing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_random_container" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_random_container"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_random_container</span></code></a>()</p></td>
+<td><p>Get random container based on container weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.log_queue_info" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.log_queue_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_queue_info</span></code></a>()</p></td>
+<td><p>Log info about queue size.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.make_mask" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.make_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_mask</span></code></a>(high_res)</p></td>
+<td><p>Make mask for output.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.make_output" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.make_output"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_output</span></code></a>(samples)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.post_init_log" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.post_proc" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.post_proc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_proc</span></code></a>(samples)</p></td>
+<td><p>Returns normalized collection of samples / observations along with mask and target output for conditional moment estimation.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.preflight" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run checks before kicking off the queue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.sample_batch" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.sample_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_batch</span></code></a>()</p></td>
+<td><p>Get random sampler from collection and return a batch of samples from that sampler.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.start" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start</span></code></a>()</p></td>
+<td><p>Start thread to keep sample queue full for batches.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.stop" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop</span></code></a>()</p></td>
+<td><p>Stop loading batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.transform" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(samples[, smoothing, ...])</p></td>
+<td><p>Coarsen high res data to get corresponding low res batch.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.wrap" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.container_weights" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.data" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.features" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.hr_shape" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Shape of high resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.lr_shape" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Shape of low resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.queue_shape" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.queue_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_shape</span></code></a></p></td>
+<td><p>Shape of objects stored in the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.queue_thread" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.queue_thread"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_thread</span></code></a></p></td>
+<td><p>Get new queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.running" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.running"><code class="xref py py-obj docutils literal notranslate"><span class="pre">running</span></code></a></p></td>
+<td><p>Boolean to check whether to keep enqueueing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.shape" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.make_output">
+<span class="sig-name descname"><span class="pre">make_output</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/conditional.html#QueueMom1SF.make_output"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.make_output" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>SF</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)
+SF is subfilter, HR is high-res and LR is low-res
+SF = HR - LR</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of Batch(low_res, high_res)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ConditionalBatch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of ConditionalBatch(low_res, high_res, output, mask)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.mask">
+<span class="sig-name descname"><span class="pre">mask</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.mask" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 3</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.output">
+<span class="sig-name descname"><span class="pre">output</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.output" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 2</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.check_enhancement_factors">
+<span class="sig-name descname"><span class="pre">check_enhancement_factors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.check_enhancement_factors" title="Link to this definition">#</a></dt>
+<dd><p>Make sure the enhancement factors evenly divide the sample_shape.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.check_features">
+<span class="sig-name descname"><span class="pre">check_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.check_features" title="Link to this definition">#</a></dt>
+<dd><p>Make sure all samplers have the same sets of features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.wrap" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.enqueue_batch">
+<span class="sig-name descname"><span class="pre">enqueue_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.enqueue_batch" title="Link to this definition">#</a></dt>
+<dd><p>Build batch and send to queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.enqueue_batches">
+<span class="sig-name descname"><span class="pre">enqueue_batches</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.enqueue_batches" title="Link to this definition">#</a></dt>
+<dd><p>Callback function for queue thread. While training, the queue is
+checked for empty spots and filled. In the training thread, batches are
+removed from the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_batch">
+<span class="sig-name descname"><span class="pre">get_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through
+<code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_container_index">
+<span class="sig-name descname"><span class="pre">get_container_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_container_index" title="Link to this definition">#</a></dt>
+<dd><p>Get random container index based on weights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_queue">
+<span class="sig-name descname"><span class="pre">get_queue</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_queue" title="Link to this definition">#</a></dt>
+<dd><p>Return FIFO queue for storing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_random_container">
+<span class="sig-name descname"><span class="pre">get_random_container</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_random_container" title="Link to this definition">#</a></dt>
+<dd><p>Get random container based on container weights</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of high resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.log_queue_info">
+<span class="sig-name descname"><span class="pre">log_queue_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.log_queue_info" title="Link to this definition">#</a></dt>
+<dd><p>Log info about queue size.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of low resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.make_mask">
+<span class="sig-name descname"><span class="pre">make_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.make_mask" title="Link to this definition">#</a></dt>
+<dd><p>Make mask for output. This is used to ensure consistency when
+training conditional moments.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Consider the case of learning E(HR|LR) where HR is the high_res and LR
+is the low_res. In theory, the conditional moment estimation works if
+the full LR is passed as input and predicts the full HR. In practice,
+only the LR data that overlaps and surrounds the HR data is useful, ie
+E(HR|LR) = E(HR|LR_nei) where LR_nei is the LR data that surrounds the
+HR data. Physically, this is equivalent to saying that data far away
+from a region of interest does not matter.  This allows learning the
+conditional moments on spatial and temporal chunks only if one
+restricts the high_res output as being overlapped and surrounded by the
+input low_res.  The role of the mask is to ensure that the input
+low_res always surrounds the output high_res.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>mask</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.post_proc">
+<span class="sig-name descname"><span class="pre">post_proc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.post_proc" title="Link to this definition">#</a></dt>
+<dd><p>Returns normalized collection of samples / observations along with
+mask and target output for conditional moment estimation. Performs
+coarsening on high-res data if <code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code> consists of
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects and not <code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> objects</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>namedtuple</em> – Named tuple with <cite>low_res</cite>, <cite>high_res</cite>, <cite>mask</cite>, and <cite>output</cite>
+attributes</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run checks before kicking off the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.queue_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.queue_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of objects stored in the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.queue_thread">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_thread</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.queue_thread" title="Link to this definition">#</a></dt>
+<dd><p>Get new queue thread.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.running">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">running</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.running" title="Link to this definition">#</a></dt>
+<dd><p>Boolean to check whether to keep enqueueing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.sample_batch">
+<span class="sig-name descname"><span class="pre">sample_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.sample_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get random sampler from collection and return a batch of samples
+from that sampler.</p>
+<p class="rubric">Notes</p>
+<p>These samples are wrapped in an <code class="docutils literal notranslate"><span class="pre">np.asarray</span></code> call, so they have been
+loaded into memory.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.start">
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.start" title="Link to this definition">#</a></dt>
+<dd><p>Start thread to keep sample queue full for batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.stop">
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.stop" title="Link to this definition">#</a></dt>
+<dd><p>Stop loading batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.transform">
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_ignore</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_coarsening_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'subsample'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.transform" title="Link to this definition">#</a></dt>
+<dd><p>Coarsen high res data to get corresponding low res batch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samples</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – High resolution batch of samples.
+4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>smoothing</strong> (<em>float | None</em>) – Standard deviation to use for gaussian filtering of the coarse
+data. This can be tuned by matching the kinetic energy of a low
+resolution simulation with the kinetic energy of a coarsened and
+smoothed high resolution simulation. If None no smoothing is
+performed.</p></li>
+<li><p><strong>smoothing_ignore</strong> (<em>list | None</em>) – List of features to ignore for the smoothing filter. None will
+smooth all features if smoothing kwarg is not None</p></li>
+<li><p><strong>temporal_coarsening_method</strong> (<em>str</em>) – Method to use for temporal coarsening. Can be subsample, average,
+min, max, or total</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>low_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.make_output"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.make_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.count"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.index"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.ConditionalBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.__add__"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.ConditionalBatch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.__mul__"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.ConditionalBatch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.count"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.ConditionalBatch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.high_res"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.ConditionalBatch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.index"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.ConditionalBatch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.low_res"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.ConditionalBatch.low_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.mask"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.ConditionalBatch.mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.output"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.ConditionalBatch.output</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.check_features"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.container_weights"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.data"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.features"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_container_index"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_queue"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_random_container"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.hr_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.log_queue_info"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.lr_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.make_mask"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.make_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.post_init_log"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.post_proc"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.preflight"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.queue_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.queue_thread"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.running"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.sample_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.shape"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.start"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.stop"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.transform"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.wrap"><code class="docutils literal notranslate"><span class="pre">QueueMom1SF.wrap()</span></code></a></li>
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+    <h1>sup3r.preprocessing.batch_queues.conditional.QueueMom2</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2"><code class="docutils literal notranslate"><span class="pre">QueueMom2</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.make_output"><code class="docutils literal notranslate"><span class="pre">QueueMom2.make_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">QueueMom2.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">QueueMom2.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.count"><code class="docutils literal notranslate"><span class="pre">QueueMom2.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.index"><code class="docutils literal notranslate"><span class="pre">QueueMom2.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch"><code class="docutils literal notranslate"><span class="pre">QueueMom2.ConditionalBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.__add__"><code class="docutils literal notranslate"><span class="pre">QueueMom2.ConditionalBatch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.__mul__"><code class="docutils literal notranslate"><span class="pre">QueueMom2.ConditionalBatch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.count"><code class="docutils literal notranslate"><span class="pre">QueueMom2.ConditionalBatch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.high_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2.ConditionalBatch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.index"><code class="docutils literal notranslate"><span class="pre">QueueMom2.ConditionalBatch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.low_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2.ConditionalBatch.low_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.mask"><code class="docutils literal notranslate"><span class="pre">QueueMom2.ConditionalBatch.mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.output"><code class="docutils literal notranslate"><span class="pre">QueueMom2.ConditionalBatch.output</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">QueueMom2.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.check_features"><code class="docutils literal notranslate"><span class="pre">QueueMom2.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">QueueMom2.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.container_weights"><code class="docutils literal notranslate"><span class="pre">QueueMom2.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.data"><code class="docutils literal notranslate"><span class="pre">QueueMom2.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">QueueMom2.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.features"><code class="docutils literal notranslate"><span class="pre">QueueMom2.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_container_index"><code class="docutils literal notranslate"><span class="pre">QueueMom2.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_queue"><code class="docutils literal notranslate"><span class="pre">QueueMom2.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_random_container"><code class="docutils literal notranslate"><span class="pre">QueueMom2.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.hr_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.log_queue_info"><code class="docutils literal notranslate"><span class="pre">QueueMom2.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.lr_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.make_mask"><code class="docutils literal notranslate"><span class="pre">QueueMom2.make_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.post_init_log"><code class="docutils literal notranslate"><span class="pre">QueueMom2.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.post_proc"><code class="docutils literal notranslate"><span class="pre">QueueMom2.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.preflight"><code class="docutils literal notranslate"><span class="pre">QueueMom2.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.queue_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.queue_thread"><code class="docutils literal notranslate"><span class="pre">QueueMom2.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.running"><code class="docutils literal notranslate"><span class="pre">QueueMom2.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.sample_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.start"><code class="docutils literal notranslate"><span class="pre">QueueMom2.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.stop"><code class="docutils literal notranslate"><span class="pre">QueueMom2.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.transform"><code class="docutils literal notranslate"><span class="pre">QueueMom2.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.wrap"><code class="docutils literal notranslate"><span class="pre">QueueMom2.wrap()</span></code></a></li>
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+  <section id="sup3r-preprocessing-batch-queues-conditional-queuemom2">
+<h1>sup3r.preprocessing.batch_queues.conditional.QueueMom2<a class="headerlink" href="#sup3r-preprocessing-batch-queues-conditional-queuemom2" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">QueueMom2</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samplers</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_enhance_mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'constant'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lower_models</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">end_t_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_batches</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">queue_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">thread_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'training'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'lazy'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/conditional.html#QueueMom2"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">ConditionalBatchQueue</span></code></a></p>
+<p>Batch handling class for conditional estimation of second moment</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samplers</strong> (<em>List[Sampler]</em>) – List of Sampler instances</p></li>
+<li><p><strong>time_enhance_mode</strong> (<em>str</em>) – [constant, linear]
+Method to enhance temporally when constructing subfilter. At every
+temporal location, a low-res temporal data is subtracted from the
+high-res temporal data predicted.  constant will assume that the
+low-res temporal data is constant between landmarks.  linear will
+linearly interpolate between landmarks to generate the low-res data
+to remove from the high-res.</p></li>
+<li><p><strong>lower_models</strong> (<em>Dict[int, Sup3rCondMom] | None</em>) – Dictionary of models that predict lower moments. For example, if
+this queue is part of a handler to estimate the 3rd moment
+<cite>lower_models</cite> could include models that estimate the 1st and 2nd
+moments. These lower moments can be required in higher order moment
+calculations.</p></li>
+<li><p><strong>s_padding</strong> (<em>int | None</em>) – Width of spatial padding to predict only middle part. If None, no
+padding is used</p></li>
+<li><p><strong>t_padding</strong> (<em>int | None</em>) – Width of temporal padding to predict only middle part. If None, no
+padding is used</p></li>
+<li><p><strong>end_t_padding</strong> (<em>bool | False</em>) – Zero pad the end of temporal space.  Ensures that loss is
+calculated only if snapshot is surrounded by temporal landmarks.
+False by default</p></li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Keyword arguments for parent class</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of observations / samples in a batch</p></li>
+<li><p><strong>n_batches</strong> (<em>int</em>) – Number of batches in an epoch, this sets the iteration limit for
+this object.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes is to be enhanced.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Integer factor by which the temporal axes is to be enhanced.</p></li>
+<li><p><strong>queue_cap</strong> (<em>int</em>) – Maximum number of batches the batch queue can store.</p></li>
+<li><p><strong>transform_kwargs</strong> (<em>Union[Dict, None]</em>) – Dictionary of kwargs to be passed to <cite>self.transform</cite>. This method
+performs smoothing / coarsening.</p></li>
+<li><p><strong>thread_name</strong> (<em>str</em>) – Name of the queue thread. Default is ‘training’. Used to set name
+to ‘validation’ for <code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code>, which has a training and
+validation queue.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Loading mode. Default is ‘lazy’, which only loads data into memory
+as batches are queued. ‘eager’ will load all data into memory right
+away.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.check_enhancement_factors" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.check_enhancement_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_enhancement_factors</span></code></a>()</p></td>
+<td><p>Make sure the enhancement factors evenly divide the sample_shape.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.check_features" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.check_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_features</span></code></a>()</p></td>
+<td><p>Make sure all samplers have the same sets of features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.check_shared_attr" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.enqueue_batch" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.enqueue_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batch</span></code></a>()</p></td>
+<td><p>Build batch and send to queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.enqueue_batches" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.enqueue_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batches</span></code></a>()</p></td>
+<td><p>Callback function for queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_batch" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_batch</span></code></a>()</p></td>
+<td><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through <code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_container_index" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_container_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_container_index</span></code></a>()</p></td>
+<td><p>Get random container index based on weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_queue" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_queue</span></code></a>()</p></td>
+<td><p>Return FIFO queue for storing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_random_container" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_random_container"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_random_container</span></code></a>()</p></td>
+<td><p>Get random container based on container weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.log_queue_info" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.log_queue_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_queue_info</span></code></a>()</p></td>
+<td><p>Log info about queue size.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.make_mask" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.make_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_mask</span></code></a>(high_res)</p></td>
+<td><p>Make mask for output.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.make_output" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.make_output"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_output</span></code></a>(samples)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.post_init_log" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.post_proc" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.post_proc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_proc</span></code></a>(samples)</p></td>
+<td><p>Returns normalized collection of samples / observations along with mask and target output for conditional moment estimation.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.preflight" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run checks before kicking off the queue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.sample_batch" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.sample_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_batch</span></code></a>()</p></td>
+<td><p>Get random sampler from collection and return a batch of samples from that sampler.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.start" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start</span></code></a>()</p></td>
+<td><p>Start thread to keep sample queue full for batches.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.stop" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop</span></code></a>()</p></td>
+<td><p>Stop loading batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.transform" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(samples[, smoothing, ...])</p></td>
+<td><p>Coarsen high res data to get corresponding low res batch.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.wrap" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.container_weights" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.data" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.features" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.hr_shape" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Shape of high resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.lr_shape" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Shape of low resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.queue_shape" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.queue_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_shape</span></code></a></p></td>
+<td><p>Shape of objects stored in the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.queue_thread" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.queue_thread"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_thread</span></code></a></p></td>
+<td><p>Get new queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.running" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.running"><code class="xref py py-obj docutils literal notranslate"><span class="pre">running</span></code></a></p></td>
+<td><p>Boolean to check whether to keep enqueueing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.shape" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.make_output">
+<span class="sig-name descname"><span class="pre">make_output</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/conditional.html#QueueMom2.make_output"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.make_output" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>(HR - &lt;HR|LR&gt;)**2</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)
+HR is high-res and LR is low-res</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of Batch(low_res, high_res)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ConditionalBatch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of ConditionalBatch(low_res, high_res, output, mask)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.mask">
+<span class="sig-name descname"><span class="pre">mask</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.mask" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 3</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.output">
+<span class="sig-name descname"><span class="pre">output</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.output" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 2</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.check_enhancement_factors">
+<span class="sig-name descname"><span class="pre">check_enhancement_factors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.check_enhancement_factors" title="Link to this definition">#</a></dt>
+<dd><p>Make sure the enhancement factors evenly divide the sample_shape.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.check_features">
+<span class="sig-name descname"><span class="pre">check_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.check_features" title="Link to this definition">#</a></dt>
+<dd><p>Make sure all samplers have the same sets of features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.wrap" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.enqueue_batch">
+<span class="sig-name descname"><span class="pre">enqueue_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.enqueue_batch" title="Link to this definition">#</a></dt>
+<dd><p>Build batch and send to queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.enqueue_batches">
+<span class="sig-name descname"><span class="pre">enqueue_batches</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.enqueue_batches" title="Link to this definition">#</a></dt>
+<dd><p>Callback function for queue thread. While training, the queue is
+checked for empty spots and filled. In the training thread, batches are
+removed from the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_batch">
+<span class="sig-name descname"><span class="pre">get_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through
+<code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_container_index">
+<span class="sig-name descname"><span class="pre">get_container_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_container_index" title="Link to this definition">#</a></dt>
+<dd><p>Get random container index based on weights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_queue">
+<span class="sig-name descname"><span class="pre">get_queue</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_queue" title="Link to this definition">#</a></dt>
+<dd><p>Return FIFO queue for storing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_random_container">
+<span class="sig-name descname"><span class="pre">get_random_container</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_random_container" title="Link to this definition">#</a></dt>
+<dd><p>Get random container based on container weights</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of high resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.log_queue_info">
+<span class="sig-name descname"><span class="pre">log_queue_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.log_queue_info" title="Link to this definition">#</a></dt>
+<dd><p>Log info about queue size.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of low resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.make_mask">
+<span class="sig-name descname"><span class="pre">make_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.make_mask" title="Link to this definition">#</a></dt>
+<dd><p>Make mask for output. This is used to ensure consistency when
+training conditional moments.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Consider the case of learning E(HR|LR) where HR is the high_res and LR
+is the low_res. In theory, the conditional moment estimation works if
+the full LR is passed as input and predicts the full HR. In practice,
+only the LR data that overlaps and surrounds the HR data is useful, ie
+E(HR|LR) = E(HR|LR_nei) where LR_nei is the LR data that surrounds the
+HR data. Physically, this is equivalent to saying that data far away
+from a region of interest does not matter.  This allows learning the
+conditional moments on spatial and temporal chunks only if one
+restricts the high_res output as being overlapped and surrounded by the
+input low_res.  The role of the mask is to ensure that the input
+low_res always surrounds the output high_res.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>mask</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.post_proc">
+<span class="sig-name descname"><span class="pre">post_proc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.post_proc" title="Link to this definition">#</a></dt>
+<dd><p>Returns normalized collection of samples / observations along with
+mask and target output for conditional moment estimation. Performs
+coarsening on high-res data if <code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code> consists of
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects and not <code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> objects</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>namedtuple</em> – Named tuple with <cite>low_res</cite>, <cite>high_res</cite>, <cite>mask</cite>, and <cite>output</cite>
+attributes</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run checks before kicking off the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.queue_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.queue_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of objects stored in the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.queue_thread">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_thread</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.queue_thread" title="Link to this definition">#</a></dt>
+<dd><p>Get new queue thread.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.running">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">running</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.running" title="Link to this definition">#</a></dt>
+<dd><p>Boolean to check whether to keep enqueueing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.sample_batch">
+<span class="sig-name descname"><span class="pre">sample_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.sample_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get random sampler from collection and return a batch of samples
+from that sampler.</p>
+<p class="rubric">Notes</p>
+<p>These samples are wrapped in an <code class="docutils literal notranslate"><span class="pre">np.asarray</span></code> call, so they have been
+loaded into memory.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.start">
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.start" title="Link to this definition">#</a></dt>
+<dd><p>Start thread to keep sample queue full for batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.stop">
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.stop" title="Link to this definition">#</a></dt>
+<dd><p>Stop loading batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.transform">
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_ignore</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_coarsening_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'subsample'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.transform" title="Link to this definition">#</a></dt>
+<dd><p>Coarsen high res data to get corresponding low res batch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samples</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – High resolution batch of samples.
+4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>smoothing</strong> (<em>float | None</em>) – Standard deviation to use for gaussian filtering of the coarse
+data. This can be tuned by matching the kinetic energy of a low
+resolution simulation with the kinetic energy of a coarsened and
+smoothed high resolution simulation. If None no smoothing is
+performed.</p></li>
+<li><p><strong>smoothing_ignore</strong> (<em>list | None</em>) – List of features to ignore for the smoothing filter. None will
+smooth all features if smoothing kwarg is not None</p></li>
+<li><p><strong>temporal_coarsening_method</strong> (<em>str</em>) – Method to use for temporal coarsening. Can be subsample, average,
+min, max, or total</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>low_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
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+    <i class="fa-solid fa-list"></i> Contents
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+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2"><code class="docutils literal notranslate"><span class="pre">QueueMom2</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.make_output"><code class="docutils literal notranslate"><span class="pre">QueueMom2.make_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">QueueMom2.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">QueueMom2.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.count"><code class="docutils literal notranslate"><span class="pre">QueueMom2.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.index"><code class="docutils literal notranslate"><span class="pre">QueueMom2.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch"><code class="docutils literal notranslate"><span class="pre">QueueMom2.ConditionalBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.__add__"><code class="docutils literal notranslate"><span class="pre">QueueMom2.ConditionalBatch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.__mul__"><code class="docutils literal notranslate"><span class="pre">QueueMom2.ConditionalBatch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.count"><code class="docutils literal notranslate"><span class="pre">QueueMom2.ConditionalBatch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.high_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2.ConditionalBatch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.index"><code class="docutils literal notranslate"><span class="pre">QueueMom2.ConditionalBatch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.low_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2.ConditionalBatch.low_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.mask"><code class="docutils literal notranslate"><span class="pre">QueueMom2.ConditionalBatch.mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.output"><code class="docutils literal notranslate"><span class="pre">QueueMom2.ConditionalBatch.output</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">QueueMom2.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.check_features"><code class="docutils literal notranslate"><span class="pre">QueueMom2.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">QueueMom2.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.container_weights"><code class="docutils literal notranslate"><span class="pre">QueueMom2.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.data"><code class="docutils literal notranslate"><span class="pre">QueueMom2.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">QueueMom2.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.features"><code class="docutils literal notranslate"><span class="pre">QueueMom2.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_container_index"><code class="docutils literal notranslate"><span class="pre">QueueMom2.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_queue"><code class="docutils literal notranslate"><span class="pre">QueueMom2.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_random_container"><code class="docutils literal notranslate"><span class="pre">QueueMom2.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.hr_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.log_queue_info"><code class="docutils literal notranslate"><span class="pre">QueueMom2.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.lr_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.make_mask"><code class="docutils literal notranslate"><span class="pre">QueueMom2.make_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.post_init_log"><code class="docutils literal notranslate"><span class="pre">QueueMom2.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.post_proc"><code class="docutils literal notranslate"><span class="pre">QueueMom2.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.preflight"><code class="docutils literal notranslate"><span class="pre">QueueMom2.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.queue_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.queue_thread"><code class="docutils literal notranslate"><span class="pre">QueueMom2.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.running"><code class="docutils literal notranslate"><span class="pre">QueueMom2.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.sample_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.start"><code class="docutils literal notranslate"><span class="pre">QueueMom2.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.stop"><code class="docutils literal notranslate"><span class="pre">QueueMom2.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.transform"><code class="docutils literal notranslate"><span class="pre">QueueMom2.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2.wrap"><code class="docutils literal notranslate"><span class="pre">QueueMom2.wrap()</span></code></a></li>
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+    <h1>sup3r.preprocessing.batch_queues.conditional.QueueMom2SF</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.make_output"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.make_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.count"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.index"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.ConditionalBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.__add__"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.ConditionalBatch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.__mul__"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.ConditionalBatch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.count"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.ConditionalBatch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.high_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.ConditionalBatch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.index"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.ConditionalBatch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.low_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.ConditionalBatch.low_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.mask"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.ConditionalBatch.mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.output"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.ConditionalBatch.output</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.check_features"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.container_weights"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.data"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.features"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_container_index"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_queue"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_random_container"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.hr_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.log_queue_info"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.lr_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.make_mask"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.make_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.post_init_log"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.post_proc"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.preflight"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.queue_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.queue_thread"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.running"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.sample_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.start"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.stop"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.transform"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.wrap"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
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+    </div>
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+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-batch-queues-conditional-queuemom2sf">
+<h1>sup3r.preprocessing.batch_queues.conditional.QueueMom2SF<a class="headerlink" href="#sup3r-preprocessing-batch-queues-conditional-queuemom2sf" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">QueueMom2SF</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samplers</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_enhance_mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'constant'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lower_models</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">end_t_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_batches</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">queue_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">thread_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'training'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'lazy'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/conditional.html#QueueMom2SF"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">ConditionalBatchQueue</span></code></a></p>
+<p>Batch handling class for conditional estimation of second moment of
+subfilter velocity.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samplers</strong> (<em>List[Sampler]</em>) – List of Sampler instances</p></li>
+<li><p><strong>time_enhance_mode</strong> (<em>str</em>) – [constant, linear]
+Method to enhance temporally when constructing subfilter. At every
+temporal location, a low-res temporal data is subtracted from the
+high-res temporal data predicted.  constant will assume that the
+low-res temporal data is constant between landmarks.  linear will
+linearly interpolate between landmarks to generate the low-res data
+to remove from the high-res.</p></li>
+<li><p><strong>lower_models</strong> (<em>Dict[int, Sup3rCondMom] | None</em>) – Dictionary of models that predict lower moments. For example, if
+this queue is part of a handler to estimate the 3rd moment
+<cite>lower_models</cite> could include models that estimate the 1st and 2nd
+moments. These lower moments can be required in higher order moment
+calculations.</p></li>
+<li><p><strong>s_padding</strong> (<em>int | None</em>) – Width of spatial padding to predict only middle part. If None, no
+padding is used</p></li>
+<li><p><strong>t_padding</strong> (<em>int | None</em>) – Width of temporal padding to predict only middle part. If None, no
+padding is used</p></li>
+<li><p><strong>end_t_padding</strong> (<em>bool | False</em>) – Zero pad the end of temporal space.  Ensures that loss is
+calculated only if snapshot is surrounded by temporal landmarks.
+False by default</p></li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Keyword arguments for parent class</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of observations / samples in a batch</p></li>
+<li><p><strong>n_batches</strong> (<em>int</em>) – Number of batches in an epoch, this sets the iteration limit for
+this object.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes is to be enhanced.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Integer factor by which the temporal axes is to be enhanced.</p></li>
+<li><p><strong>queue_cap</strong> (<em>int</em>) – Maximum number of batches the batch queue can store.</p></li>
+<li><p><strong>transform_kwargs</strong> (<em>Union[Dict, None]</em>) – Dictionary of kwargs to be passed to <cite>self.transform</cite>. This method
+performs smoothing / coarsening.</p></li>
+<li><p><strong>thread_name</strong> (<em>str</em>) – Name of the queue thread. Default is ‘training’. Used to set name
+to ‘validation’ for <code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code>, which has a training and
+validation queue.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Loading mode. Default is ‘lazy’, which only loads data into memory
+as batches are queued. ‘eager’ will load all data into memory right
+away.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.check_enhancement_factors" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.check_enhancement_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_enhancement_factors</span></code></a>()</p></td>
+<td><p>Make sure the enhancement factors evenly divide the sample_shape.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.check_features" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.check_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_features</span></code></a>()</p></td>
+<td><p>Make sure all samplers have the same sets of features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.check_shared_attr" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.enqueue_batch" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.enqueue_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batch</span></code></a>()</p></td>
+<td><p>Build batch and send to queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.enqueue_batches" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.enqueue_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batches</span></code></a>()</p></td>
+<td><p>Callback function for queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_batch" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_batch</span></code></a>()</p></td>
+<td><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through <code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_container_index" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_container_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_container_index</span></code></a>()</p></td>
+<td><p>Get random container index based on weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_queue" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_queue</span></code></a>()</p></td>
+<td><p>Return FIFO queue for storing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_random_container" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_random_container"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_random_container</span></code></a>()</p></td>
+<td><p>Get random container based on container weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.log_queue_info" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.log_queue_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_queue_info</span></code></a>()</p></td>
+<td><p>Log info about queue size.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.make_mask" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.make_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_mask</span></code></a>(high_res)</p></td>
+<td><p>Make mask for output.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.make_output" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.make_output"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_output</span></code></a>(samples)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.post_init_log" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.post_proc" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.post_proc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_proc</span></code></a>(samples)</p></td>
+<td><p>Returns normalized collection of samples / observations along with mask and target output for conditional moment estimation.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.preflight" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run checks before kicking off the queue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.sample_batch" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.sample_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_batch</span></code></a>()</p></td>
+<td><p>Get random sampler from collection and return a batch of samples from that sampler.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.start" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start</span></code></a>()</p></td>
+<td><p>Start thread to keep sample queue full for batches.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.stop" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop</span></code></a>()</p></td>
+<td><p>Stop loading batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.transform" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(samples[, smoothing, ...])</p></td>
+<td><p>Coarsen high res data to get corresponding low res batch.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.wrap" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.container_weights" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.data" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.features" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.hr_shape" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Shape of high resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.lr_shape" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Shape of low resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.queue_shape" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.queue_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_shape</span></code></a></p></td>
+<td><p>Shape of objects stored in the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.queue_thread" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.queue_thread"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_thread</span></code></a></p></td>
+<td><p>Get new queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.running" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.running"><code class="xref py py-obj docutils literal notranslate"><span class="pre">running</span></code></a></p></td>
+<td><p>Boolean to check whether to keep enqueueing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.shape" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.make_output">
+<span class="sig-name descname"><span class="pre">make_output</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/conditional.html#QueueMom2SF.make_output"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.make_output" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>(SF - &lt;SF|LR&gt;)**2</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)
+SF is subfilter, HR is high-res and LR is low-res
+SF = HR - LR</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of Batch(low_res, high_res)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ConditionalBatch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of ConditionalBatch(low_res, high_res, output, mask)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.mask">
+<span class="sig-name descname"><span class="pre">mask</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.mask" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 3</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.output">
+<span class="sig-name descname"><span class="pre">output</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.output" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 2</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.check_enhancement_factors">
+<span class="sig-name descname"><span class="pre">check_enhancement_factors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.check_enhancement_factors" title="Link to this definition">#</a></dt>
+<dd><p>Make sure the enhancement factors evenly divide the sample_shape.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.check_features">
+<span class="sig-name descname"><span class="pre">check_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.check_features" title="Link to this definition">#</a></dt>
+<dd><p>Make sure all samplers have the same sets of features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.wrap" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.enqueue_batch">
+<span class="sig-name descname"><span class="pre">enqueue_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.enqueue_batch" title="Link to this definition">#</a></dt>
+<dd><p>Build batch and send to queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.enqueue_batches">
+<span class="sig-name descname"><span class="pre">enqueue_batches</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.enqueue_batches" title="Link to this definition">#</a></dt>
+<dd><p>Callback function for queue thread. While training, the queue is
+checked for empty spots and filled. In the training thread, batches are
+removed from the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_batch">
+<span class="sig-name descname"><span class="pre">get_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through
+<code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_container_index">
+<span class="sig-name descname"><span class="pre">get_container_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_container_index" title="Link to this definition">#</a></dt>
+<dd><p>Get random container index based on weights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_queue">
+<span class="sig-name descname"><span class="pre">get_queue</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_queue" title="Link to this definition">#</a></dt>
+<dd><p>Return FIFO queue for storing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_random_container">
+<span class="sig-name descname"><span class="pre">get_random_container</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_random_container" title="Link to this definition">#</a></dt>
+<dd><p>Get random container based on container weights</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of high resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.log_queue_info">
+<span class="sig-name descname"><span class="pre">log_queue_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.log_queue_info" title="Link to this definition">#</a></dt>
+<dd><p>Log info about queue size.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of low resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.make_mask">
+<span class="sig-name descname"><span class="pre">make_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.make_mask" title="Link to this definition">#</a></dt>
+<dd><p>Make mask for output. This is used to ensure consistency when
+training conditional moments.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Consider the case of learning E(HR|LR) where HR is the high_res and LR
+is the low_res. In theory, the conditional moment estimation works if
+the full LR is passed as input and predicts the full HR. In practice,
+only the LR data that overlaps and surrounds the HR data is useful, ie
+E(HR|LR) = E(HR|LR_nei) where LR_nei is the LR data that surrounds the
+HR data. Physically, this is equivalent to saying that data far away
+from a region of interest does not matter.  This allows learning the
+conditional moments on spatial and temporal chunks only if one
+restricts the high_res output as being overlapped and surrounded by the
+input low_res.  The role of the mask is to ensure that the input
+low_res always surrounds the output high_res.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>mask</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.post_proc">
+<span class="sig-name descname"><span class="pre">post_proc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.post_proc" title="Link to this definition">#</a></dt>
+<dd><p>Returns normalized collection of samples / observations along with
+mask and target output for conditional moment estimation. Performs
+coarsening on high-res data if <code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code> consists of
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects and not <code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> objects</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>namedtuple</em> – Named tuple with <cite>low_res</cite>, <cite>high_res</cite>, <cite>mask</cite>, and <cite>output</cite>
+attributes</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run checks before kicking off the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.queue_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.queue_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of objects stored in the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.queue_thread">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_thread</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.queue_thread" title="Link to this definition">#</a></dt>
+<dd><p>Get new queue thread.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.running">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">running</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.running" title="Link to this definition">#</a></dt>
+<dd><p>Boolean to check whether to keep enqueueing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.sample_batch">
+<span class="sig-name descname"><span class="pre">sample_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.sample_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get random sampler from collection and return a batch of samples
+from that sampler.</p>
+<p class="rubric">Notes</p>
+<p>These samples are wrapped in an <code class="docutils literal notranslate"><span class="pre">np.asarray</span></code> call, so they have been
+loaded into memory.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.start">
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.start" title="Link to this definition">#</a></dt>
+<dd><p>Start thread to keep sample queue full for batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.stop">
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.stop" title="Link to this definition">#</a></dt>
+<dd><p>Stop loading batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.transform">
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_ignore</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_coarsening_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'subsample'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.transform" title="Link to this definition">#</a></dt>
+<dd><p>Coarsen high res data to get corresponding low res batch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samples</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – High resolution batch of samples.
+4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>smoothing</strong> (<em>float | None</em>) – Standard deviation to use for gaussian filtering of the coarse
+data. This can be tuned by matching the kinetic energy of a low
+resolution simulation with the kinetic energy of a coarsened and
+smoothed high resolution simulation. If None no smoothing is
+performed.</p></li>
+<li><p><strong>smoothing_ignore</strong> (<em>list | None</em>) – List of features to ignore for the smoothing filter. None will
+smooth all features if smoothing kwarg is not None</p></li>
+<li><p><strong>temporal_coarsening_method</strong> (<em>str</em>) – Method to use for temporal coarsening. Can be subsample, average,
+min, max, or total</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>low_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.make_output"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.make_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.count"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.index"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.ConditionalBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.__add__"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.ConditionalBatch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.__mul__"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.ConditionalBatch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.count"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.ConditionalBatch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.high_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.ConditionalBatch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.index"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.ConditionalBatch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.low_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.ConditionalBatch.low_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.mask"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.ConditionalBatch.mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.output"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.ConditionalBatch.output</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.check_features"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.container_weights"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.data"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.features"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_container_index"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_queue"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_random_container"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.hr_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.log_queue_info"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.lr_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.make_mask"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.make_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.post_init_log"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.post_proc"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.preflight"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.queue_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.queue_thread"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.running"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.sample_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.start"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.stop"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.transform"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.wrap"><code class="docutils literal notranslate"><span class="pre">QueueMom2SF.wrap()</span></code></a></li>
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+    <h1>sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
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+            <div>
+                <h2> Contents </h2>
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+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.make_output"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.make_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.count"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.index"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.ConditionalBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.__add__"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.ConditionalBatch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.__mul__"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.ConditionalBatch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.count"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.ConditionalBatch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.high_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.ConditionalBatch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.index"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.ConditionalBatch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.low_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.ConditionalBatch.low_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.mask"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.ConditionalBatch.mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.output"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.ConditionalBatch.output</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.check_features"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.container_weights"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.data"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.features"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_container_index"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_queue"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_random_container"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.hr_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.log_queue_info"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.lr_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.make_mask"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.make_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.post_init_log"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.post_proc"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.preflight"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.queue_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.queue_thread"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.running"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.sample_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.start"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.stop"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.transform"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.wrap"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.wrap()</span></code></a></li>
+</ul>
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+</ul>
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+  <section id="sup3r-preprocessing-batch-queues-conditional-queuemom2sep">
+<h1>sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep<a class="headerlink" href="#sup3r-preprocessing-batch-queues-conditional-queuemom2sep" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">QueueMom2Sep</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samplers</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_enhance_mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'constant'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lower_models</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">end_t_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_batches</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">queue_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">thread_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'training'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'lazy'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/conditional.html#QueueMom2Sep"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1"><code class="xref py py-class docutils literal notranslate"><span class="pre">QueueMom1</span></code></a></p>
+<p>Batch handling class for conditional estimation of second moment
+without subtraction of first moment</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samplers</strong> (<em>List[Sampler]</em>) – List of Sampler instances</p></li>
+<li><p><strong>time_enhance_mode</strong> (<em>str</em>) – [constant, linear]
+Method to enhance temporally when constructing subfilter. At every
+temporal location, a low-res temporal data is subtracted from the
+high-res temporal data predicted.  constant will assume that the
+low-res temporal data is constant between landmarks.  linear will
+linearly interpolate between landmarks to generate the low-res data
+to remove from the high-res.</p></li>
+<li><p><strong>lower_models</strong> (<em>Dict[int, Sup3rCondMom] | None</em>) – Dictionary of models that predict lower moments. For example, if
+this queue is part of a handler to estimate the 3rd moment
+<cite>lower_models</cite> could include models that estimate the 1st and 2nd
+moments. These lower moments can be required in higher order moment
+calculations.</p></li>
+<li><p><strong>s_padding</strong> (<em>int | None</em>) – Width of spatial padding to predict only middle part. If None, no
+padding is used</p></li>
+<li><p><strong>t_padding</strong> (<em>int | None</em>) – Width of temporal padding to predict only middle part. If None, no
+padding is used</p></li>
+<li><p><strong>end_t_padding</strong> (<em>bool | False</em>) – Zero pad the end of temporal space.  Ensures that loss is
+calculated only if snapshot is surrounded by temporal landmarks.
+False by default</p></li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Keyword arguments for parent class</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of observations / samples in a batch</p></li>
+<li><p><strong>n_batches</strong> (<em>int</em>) – Number of batches in an epoch, this sets the iteration limit for
+this object.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes is to be enhanced.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Integer factor by which the temporal axes is to be enhanced.</p></li>
+<li><p><strong>queue_cap</strong> (<em>int</em>) – Maximum number of batches the batch queue can store.</p></li>
+<li><p><strong>transform_kwargs</strong> (<em>Union[Dict, None]</em>) – Dictionary of kwargs to be passed to <cite>self.transform</cite>. This method
+performs smoothing / coarsening.</p></li>
+<li><p><strong>thread_name</strong> (<em>str</em>) – Name of the queue thread. Default is ‘training’. Used to set name
+to ‘validation’ for <code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code>, which has a training and
+validation queue.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Loading mode. Default is ‘lazy’, which only loads data into memory
+as batches are queued. ‘eager’ will load all data into memory right
+away.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.check_enhancement_factors" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.check_enhancement_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_enhancement_factors</span></code></a>()</p></td>
+<td><p>Make sure the enhancement factors evenly divide the sample_shape.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.check_features" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.check_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_features</span></code></a>()</p></td>
+<td><p>Make sure all samplers have the same sets of features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.check_shared_attr" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.enqueue_batch" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.enqueue_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batch</span></code></a>()</p></td>
+<td><p>Build batch and send to queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.enqueue_batches" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.enqueue_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batches</span></code></a>()</p></td>
+<td><p>Callback function for queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_batch" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_batch</span></code></a>()</p></td>
+<td><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through <code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_container_index" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_container_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_container_index</span></code></a>()</p></td>
+<td><p>Get random container index based on weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_queue" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_queue</span></code></a>()</p></td>
+<td><p>Return FIFO queue for storing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_random_container" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_random_container"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_random_container</span></code></a>()</p></td>
+<td><p>Get random container based on container weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.log_queue_info" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.log_queue_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_queue_info</span></code></a>()</p></td>
+<td><p>Log info about queue size.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.make_mask" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.make_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_mask</span></code></a>(high_res)</p></td>
+<td><p>Make mask for output.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.make_output" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.make_output"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_output</span></code></a>(samples)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.post_init_log" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.post_proc" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.post_proc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_proc</span></code></a>(samples)</p></td>
+<td><p>Returns normalized collection of samples / observations along with mask and target output for conditional moment estimation.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.preflight" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run checks before kicking off the queue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.sample_batch" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.sample_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_batch</span></code></a>()</p></td>
+<td><p>Get random sampler from collection and return a batch of samples from that sampler.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.start" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start</span></code></a>()</p></td>
+<td><p>Start thread to keep sample queue full for batches.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.stop" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop</span></code></a>()</p></td>
+<td><p>Stop loading batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.transform" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(samples[, smoothing, ...])</p></td>
+<td><p>Coarsen high res data to get corresponding low res batch.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.wrap" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.container_weights" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.data" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.features" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.hr_shape" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Shape of high resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.lr_shape" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Shape of low resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.queue_shape" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.queue_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_shape</span></code></a></p></td>
+<td><p>Shape of objects stored in the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.queue_thread" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.queue_thread"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_thread</span></code></a></p></td>
+<td><p>Get new queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.running" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.running"><code class="xref py py-obj docutils literal notranslate"><span class="pre">running</span></code></a></p></td>
+<td><p>Boolean to check whether to keep enqueueing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.shape" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.make_output">
+<span class="sig-name descname"><span class="pre">make_output</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/conditional.html#QueueMom2Sep.make_output"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.make_output" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>HR**2</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)
+HR is high-res</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of Batch(low_res, high_res)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ConditionalBatch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of ConditionalBatch(low_res, high_res, output, mask)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.mask">
+<span class="sig-name descname"><span class="pre">mask</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.mask" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 3</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.output">
+<span class="sig-name descname"><span class="pre">output</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.output" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 2</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.check_enhancement_factors">
+<span class="sig-name descname"><span class="pre">check_enhancement_factors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.check_enhancement_factors" title="Link to this definition">#</a></dt>
+<dd><p>Make sure the enhancement factors evenly divide the sample_shape.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.check_features">
+<span class="sig-name descname"><span class="pre">check_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.check_features" title="Link to this definition">#</a></dt>
+<dd><p>Make sure all samplers have the same sets of features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.wrap" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.enqueue_batch">
+<span class="sig-name descname"><span class="pre">enqueue_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.enqueue_batch" title="Link to this definition">#</a></dt>
+<dd><p>Build batch and send to queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.enqueue_batches">
+<span class="sig-name descname"><span class="pre">enqueue_batches</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.enqueue_batches" title="Link to this definition">#</a></dt>
+<dd><p>Callback function for queue thread. While training, the queue is
+checked for empty spots and filled. In the training thread, batches are
+removed from the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_batch">
+<span class="sig-name descname"><span class="pre">get_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through
+<code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_container_index">
+<span class="sig-name descname"><span class="pre">get_container_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_container_index" title="Link to this definition">#</a></dt>
+<dd><p>Get random container index based on weights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_queue">
+<span class="sig-name descname"><span class="pre">get_queue</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_queue" title="Link to this definition">#</a></dt>
+<dd><p>Return FIFO queue for storing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_random_container">
+<span class="sig-name descname"><span class="pre">get_random_container</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_random_container" title="Link to this definition">#</a></dt>
+<dd><p>Get random container based on container weights</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of high resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.log_queue_info">
+<span class="sig-name descname"><span class="pre">log_queue_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.log_queue_info" title="Link to this definition">#</a></dt>
+<dd><p>Log info about queue size.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of low resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.make_mask">
+<span class="sig-name descname"><span class="pre">make_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.make_mask" title="Link to this definition">#</a></dt>
+<dd><p>Make mask for output. This is used to ensure consistency when
+training conditional moments.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Consider the case of learning E(HR|LR) where HR is the high_res and LR
+is the low_res. In theory, the conditional moment estimation works if
+the full LR is passed as input and predicts the full HR. In practice,
+only the LR data that overlaps and surrounds the HR data is useful, ie
+E(HR|LR) = E(HR|LR_nei) where LR_nei is the LR data that surrounds the
+HR data. Physically, this is equivalent to saying that data far away
+from a region of interest does not matter.  This allows learning the
+conditional moments on spatial and temporal chunks only if one
+restricts the high_res output as being overlapped and surrounded by the
+input low_res.  The role of the mask is to ensure that the input
+low_res always surrounds the output high_res.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>mask</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.post_proc">
+<span class="sig-name descname"><span class="pre">post_proc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.post_proc" title="Link to this definition">#</a></dt>
+<dd><p>Returns normalized collection of samples / observations along with
+mask and target output for conditional moment estimation. Performs
+coarsening on high-res data if <code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code> consists of
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects and not <code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> objects</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>namedtuple</em> – Named tuple with <cite>low_res</cite>, <cite>high_res</cite>, <cite>mask</cite>, and <cite>output</cite>
+attributes</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run checks before kicking off the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.queue_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.queue_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of objects stored in the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.queue_thread">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_thread</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.queue_thread" title="Link to this definition">#</a></dt>
+<dd><p>Get new queue thread.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.running">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">running</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.running" title="Link to this definition">#</a></dt>
+<dd><p>Boolean to check whether to keep enqueueing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.sample_batch">
+<span class="sig-name descname"><span class="pre">sample_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.sample_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get random sampler from collection and return a batch of samples
+from that sampler.</p>
+<p class="rubric">Notes</p>
+<p>These samples are wrapped in an <code class="docutils literal notranslate"><span class="pre">np.asarray</span></code> call, so they have been
+loaded into memory.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.start">
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.start" title="Link to this definition">#</a></dt>
+<dd><p>Start thread to keep sample queue full for batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.stop">
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.stop" title="Link to this definition">#</a></dt>
+<dd><p>Stop loading batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.transform">
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_ignore</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_coarsening_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'subsample'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.transform" title="Link to this definition">#</a></dt>
+<dd><p>Coarsen high res data to get corresponding low res batch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samples</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – High resolution batch of samples.
+4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>smoothing</strong> (<em>float | None</em>) – Standard deviation to use for gaussian filtering of the coarse
+data. This can be tuned by matching the kinetic energy of a low
+resolution simulation with the kinetic energy of a coarsened and
+smoothed high resolution simulation. If None no smoothing is
+performed.</p></li>
+<li><p><strong>smoothing_ignore</strong> (<em>list | None</em>) – List of features to ignore for the smoothing filter. None will
+smooth all features if smoothing kwarg is not None</p></li>
+<li><p><strong>temporal_coarsening_method</strong> (<em>str</em>) – Method to use for temporal coarsening. Can be subsample, average,
+min, max, or total</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>low_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.make_output"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.make_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.count"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.index"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.ConditionalBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.__add__"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.ConditionalBatch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.__mul__"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.ConditionalBatch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.count"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.ConditionalBatch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.high_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.ConditionalBatch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.index"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.ConditionalBatch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.low_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.ConditionalBatch.low_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.mask"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.ConditionalBatch.mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.output"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.ConditionalBatch.output</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.check_features"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.container_weights"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.data"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.features"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_container_index"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_queue"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_random_container"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.hr_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.log_queue_info"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.lr_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.make_mask"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.make_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.post_init_log"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.post_proc"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.preflight"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.queue_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.queue_thread"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.running"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.sample_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.start"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.stop"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.transform"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.wrap"><code class="docutils literal notranslate"><span class="pre">QueueMom2Sep.wrap()</span></code></a></li>
+</ul>
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+    <h1>sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
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+            <div>
+                <h2> Contents </h2>
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+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.make_output"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.make_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.count"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.index"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.ConditionalBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.__add__"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.ConditionalBatch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.__mul__"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.ConditionalBatch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.count"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.ConditionalBatch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.high_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.ConditionalBatch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.index"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.ConditionalBatch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.low_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.ConditionalBatch.low_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.mask"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.ConditionalBatch.mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.output"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.ConditionalBatch.output</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.check_features"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.container_weights"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.data"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.features"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_container_index"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_queue"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_random_container"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.hr_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.log_queue_info"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.lr_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.make_mask"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.make_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.post_init_log"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.post_proc"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.preflight"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.queue_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.queue_thread"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.running"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.sample_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.start"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.stop"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.transform"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.wrap"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.wrap()</span></code></a></li>
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+  <section id="sup3r-preprocessing-batch-queues-conditional-queuemom2sepsf">
+<h1>sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF<a class="headerlink" href="#sup3r-preprocessing-batch-queues-conditional-queuemom2sepsf" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">QueueMom2SepSF</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samplers</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_enhance_mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'constant'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lower_models</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">end_t_padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_batches</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">queue_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">thread_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'training'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'lazy'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/conditional.html#QueueMom2SepSF"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF"><code class="xref py py-class docutils literal notranslate"><span class="pre">QueueMom1SF</span></code></a></p>
+<p>Batch of low_res, high_res and output data when learning second moment
+of subfilter vel separate from first moment</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samplers</strong> (<em>List[Sampler]</em>) – List of Sampler instances</p></li>
+<li><p><strong>time_enhance_mode</strong> (<em>str</em>) – [constant, linear]
+Method to enhance temporally when constructing subfilter. At every
+temporal location, a low-res temporal data is subtracted from the
+high-res temporal data predicted.  constant will assume that the
+low-res temporal data is constant between landmarks.  linear will
+linearly interpolate between landmarks to generate the low-res data
+to remove from the high-res.</p></li>
+<li><p><strong>lower_models</strong> (<em>Dict[int, Sup3rCondMom] | None</em>) – Dictionary of models that predict lower moments. For example, if
+this queue is part of a handler to estimate the 3rd moment
+<cite>lower_models</cite> could include models that estimate the 1st and 2nd
+moments. These lower moments can be required in higher order moment
+calculations.</p></li>
+<li><p><strong>s_padding</strong> (<em>int | None</em>) – Width of spatial padding to predict only middle part. If None, no
+padding is used</p></li>
+<li><p><strong>t_padding</strong> (<em>int | None</em>) – Width of temporal padding to predict only middle part. If None, no
+padding is used</p></li>
+<li><p><strong>end_t_padding</strong> (<em>bool | False</em>) – Zero pad the end of temporal space.  Ensures that loss is
+calculated only if snapshot is surrounded by temporal landmarks.
+False by default</p></li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Keyword arguments for parent class</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of observations / samples in a batch</p></li>
+<li><p><strong>n_batches</strong> (<em>int</em>) – Number of batches in an epoch, this sets the iteration limit for
+this object.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes is to be enhanced.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Integer factor by which the temporal axes is to be enhanced.</p></li>
+<li><p><strong>queue_cap</strong> (<em>int</em>) – Maximum number of batches the batch queue can store.</p></li>
+<li><p><strong>transform_kwargs</strong> (<em>Union[Dict, None]</em>) – Dictionary of kwargs to be passed to <cite>self.transform</cite>. This method
+performs smoothing / coarsening.</p></li>
+<li><p><strong>thread_name</strong> (<em>str</em>) – Name of the queue thread. Default is ‘training’. Used to set name
+to ‘validation’ for <code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code>, which has a training and
+validation queue.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Loading mode. Default is ‘lazy’, which only loads data into memory
+as batches are queued. ‘eager’ will load all data into memory right
+away.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.check_enhancement_factors" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.check_enhancement_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_enhancement_factors</span></code></a>()</p></td>
+<td><p>Make sure the enhancement factors evenly divide the sample_shape.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.check_features" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.check_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_features</span></code></a>()</p></td>
+<td><p>Make sure all samplers have the same sets of features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.check_shared_attr" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.enqueue_batch" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.enqueue_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batch</span></code></a>()</p></td>
+<td><p>Build batch and send to queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.enqueue_batches" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.enqueue_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batches</span></code></a>()</p></td>
+<td><p>Callback function for queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_batch" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_batch</span></code></a>()</p></td>
+<td><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through <code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_container_index" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_container_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_container_index</span></code></a>()</p></td>
+<td><p>Get random container index based on weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_queue" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_queue</span></code></a>()</p></td>
+<td><p>Return FIFO queue for storing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_random_container" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_random_container"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_random_container</span></code></a>()</p></td>
+<td><p>Get random container based on container weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.log_queue_info" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.log_queue_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_queue_info</span></code></a>()</p></td>
+<td><p>Log info about queue size.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.make_mask" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.make_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_mask</span></code></a>(high_res)</p></td>
+<td><p>Make mask for output.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.make_output" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.make_output"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_output</span></code></a>(samples)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.post_init_log" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.post_proc" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.post_proc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_proc</span></code></a>(samples)</p></td>
+<td><p>Returns normalized collection of samples / observations along with mask and target output for conditional moment estimation.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.preflight" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run checks before kicking off the queue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.sample_batch" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.sample_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_batch</span></code></a>()</p></td>
+<td><p>Get random sampler from collection and return a batch of samples from that sampler.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.start" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start</span></code></a>()</p></td>
+<td><p>Start thread to keep sample queue full for batches.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.stop" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop</span></code></a>()</p></td>
+<td><p>Stop loading batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.transform" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(samples[, smoothing, ...])</p></td>
+<td><p>Coarsen high res data to get corresponding low res batch.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.wrap" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.container_weights" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.data" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.features" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.hr_shape" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Shape of high resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.lr_shape" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Shape of low resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.queue_shape" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.queue_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_shape</span></code></a></p></td>
+<td><p>Shape of objects stored in the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.queue_thread" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.queue_thread"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_thread</span></code></a></p></td>
+<td><p>Get new queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.running" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.running"><code class="xref py py-obj docutils literal notranslate"><span class="pre">running</span></code></a></p></td>
+<td><p>Boolean to check whether to keep enqueueing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.shape" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.make_output">
+<span class="sig-name descname"><span class="pre">make_output</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/conditional.html#QueueMom2SepSF.make_output"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.make_output" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>SF**2</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)
+SF is subfilter, HR is high-res and LR is low-res
+SF = HR - LR</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of Batch(low_res, high_res)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ConditionalBatch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of ConditionalBatch(low_res, high_res, output, mask)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.mask">
+<span class="sig-name descname"><span class="pre">mask</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.mask" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 3</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.output">
+<span class="sig-name descname"><span class="pre">output</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.output" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 2</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.check_enhancement_factors">
+<span class="sig-name descname"><span class="pre">check_enhancement_factors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.check_enhancement_factors" title="Link to this definition">#</a></dt>
+<dd><p>Make sure the enhancement factors evenly divide the sample_shape.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.check_features">
+<span class="sig-name descname"><span class="pre">check_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.check_features" title="Link to this definition">#</a></dt>
+<dd><p>Make sure all samplers have the same sets of features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.wrap" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.enqueue_batch">
+<span class="sig-name descname"><span class="pre">enqueue_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.enqueue_batch" title="Link to this definition">#</a></dt>
+<dd><p>Build batch and send to queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.enqueue_batches">
+<span class="sig-name descname"><span class="pre">enqueue_batches</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.enqueue_batches" title="Link to this definition">#</a></dt>
+<dd><p>Callback function for queue thread. While training, the queue is
+checked for empty spots and filled. In the training thread, batches are
+removed from the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_batch">
+<span class="sig-name descname"><span class="pre">get_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through
+<code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_container_index">
+<span class="sig-name descname"><span class="pre">get_container_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_container_index" title="Link to this definition">#</a></dt>
+<dd><p>Get random container index based on weights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_queue">
+<span class="sig-name descname"><span class="pre">get_queue</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_queue" title="Link to this definition">#</a></dt>
+<dd><p>Return FIFO queue for storing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_random_container">
+<span class="sig-name descname"><span class="pre">get_random_container</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_random_container" title="Link to this definition">#</a></dt>
+<dd><p>Get random container based on container weights</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of high resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.log_queue_info">
+<span class="sig-name descname"><span class="pre">log_queue_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.log_queue_info" title="Link to this definition">#</a></dt>
+<dd><p>Log info about queue size.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of low resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.make_mask">
+<span class="sig-name descname"><span class="pre">make_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.make_mask" title="Link to this definition">#</a></dt>
+<dd><p>Make mask for output. This is used to ensure consistency when
+training conditional moments.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Consider the case of learning E(HR|LR) where HR is the high_res and LR
+is the low_res. In theory, the conditional moment estimation works if
+the full LR is passed as input and predicts the full HR. In practice,
+only the LR data that overlaps and surrounds the HR data is useful, ie
+E(HR|LR) = E(HR|LR_nei) where LR_nei is the LR data that surrounds the
+HR data. Physically, this is equivalent to saying that data far away
+from a region of interest does not matter.  This allows learning the
+conditional moments on spatial and temporal chunks only if one
+restricts the high_res output as being overlapped and surrounded by the
+input low_res.  The role of the mask is to ensure that the input
+low_res always surrounds the output high_res.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>mask</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.post_proc">
+<span class="sig-name descname"><span class="pre">post_proc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.post_proc" title="Link to this definition">#</a></dt>
+<dd><p>Returns normalized collection of samples / observations along with
+mask and target output for conditional moment estimation. Performs
+coarsening on high-res data if <code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code> consists of
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects and not <code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> objects</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>namedtuple</em> – Named tuple with <cite>low_res</cite>, <cite>high_res</cite>, <cite>mask</cite>, and <cite>output</cite>
+attributes</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run checks before kicking off the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.queue_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.queue_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of objects stored in the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.queue_thread">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_thread</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.queue_thread" title="Link to this definition">#</a></dt>
+<dd><p>Get new queue thread.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.running">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">running</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.running" title="Link to this definition">#</a></dt>
+<dd><p>Boolean to check whether to keep enqueueing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.sample_batch">
+<span class="sig-name descname"><span class="pre">sample_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.sample_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get random sampler from collection and return a batch of samples
+from that sampler.</p>
+<p class="rubric">Notes</p>
+<p>These samples are wrapped in an <code class="docutils literal notranslate"><span class="pre">np.asarray</span></code> call, so they have been
+loaded into memory.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.start">
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.start" title="Link to this definition">#</a></dt>
+<dd><p>Start thread to keep sample queue full for batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.stop">
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.stop" title="Link to this definition">#</a></dt>
+<dd><p>Stop loading batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.transform">
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_ignore</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_coarsening_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'subsample'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.transform" title="Link to this definition">#</a></dt>
+<dd><p>Coarsen high res data to get corresponding low res batch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samples</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – High resolution batch of samples.
+4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>smoothing</strong> (<em>float | None</em>) – Standard deviation to use for gaussian filtering of the coarse
+data. This can be tuned by matching the kinetic energy of a low
+resolution simulation with the kinetic energy of a coarsened and
+smoothed high resolution simulation. If None no smoothing is
+performed.</p></li>
+<li><p><strong>smoothing_ignore</strong> (<em>list | None</em>) – List of features to ignore for the smoothing filter. None will
+smooth all features if smoothing kwarg is not None</p></li>
+<li><p><strong>temporal_coarsening_method</strong> (<em>str</em>) – Method to use for temporal coarsening. Can be subsample, average,
+min, max, or total</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>low_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.make_output"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.make_output()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.count"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.index"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.ConditionalBatch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.__add__"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.ConditionalBatch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.__mul__"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.ConditionalBatch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.count"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.ConditionalBatch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.high_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.ConditionalBatch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.index"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.ConditionalBatch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.low_res"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.ConditionalBatch.low_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.mask"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.ConditionalBatch.mask</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.output"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.ConditionalBatch.output</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.check_features"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.container_weights"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.data"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.features"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_container_index"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_queue"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_random_container"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.hr_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.log_queue_info"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.lr_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.make_mask"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.make_mask()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.post_init_log"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.post_proc"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.preflight"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.queue_shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.queue_thread"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.running"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.sample_batch"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.shape"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.start"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.stop"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.transform"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.wrap"><code class="docutils literal notranslate"><span class="pre">QueueMom2SepSF.wrap()</span></code></a></li>
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+    <h1>sup3r.preprocessing.batch_queues.conditional</h1>
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+  <section id="module-sup3r.preprocessing.batch_queues.conditional">
+<span id="sup3r-preprocessing-batch-queues-conditional"></span><h1>sup3r.preprocessing.batch_queues.conditional<a class="headerlink" href="#module-sup3r.preprocessing.batch_queues.conditional" title="Link to this heading">#</a></h1>
+<p>Abstract batch queue class used for conditional moment estimation.</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue" title="sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ConditionalBatchQueue</span></code></a>(samplers, *[, ...])</p></td>
+<td><p>BatchQueue class for conditional moment estimation.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1"><code class="xref py py-obj docutils literal notranslate"><span class="pre">QueueMom1</span></code></a>(samplers, *[, time_enhance_mode, ...])</p></td>
+<td><p>Batch handling class for conditional estimation of first moment</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF" title="sup3r.preprocessing.batch_queues.conditional.QueueMom1SF"><code class="xref py py-obj docutils literal notranslate"><span class="pre">QueueMom1SF</span></code></a>(samplers, *[, ...])</p></td>
+<td><p>Batch handling class for conditional estimation of first moment of subfilter velocity</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2"><code class="xref py py-obj docutils literal notranslate"><span class="pre">QueueMom2</span></code></a>(samplers, *[, time_enhance_mode, ...])</p></td>
+<td><p>Batch handling class for conditional estimation of second moment</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SF"><code class="xref py py-obj docutils literal notranslate"><span class="pre">QueueMom2SF</span></code></a>(samplers, *[, ...])</p></td>
+<td><p>Batch handling class for conditional estimation of second moment of subfilter velocity.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep"><code class="xref py py-obj docutils literal notranslate"><span class="pre">QueueMom2Sep</span></code></a>(samplers, *[, ...])</p></td>
+<td><p>Batch handling class for conditional estimation of second moment without subtraction of first moment</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF" title="sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF"><code class="xref py py-obj docutils literal notranslate"><span class="pre">QueueMom2SepSF</span></code></a>(samplers, *[, ...])</p></td>
+<td><p>Batch of low_res, high_res and output data when learning second moment of subfilter vel separate from first moment</p></td>
+</tr>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>sup3r.preprocessing.batch_queues.dc.BatchQueueDC</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.sample_batch"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.spatial_weights"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.spatial_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.temporal_weights"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.temporal_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.update_weights"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.update_weights()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.count"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.index"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.check_features"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.container_weights"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.data"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.features"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_batch"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_container_index"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_queue"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_random_container"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.hr_shape"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.log_queue_info"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.lr_shape"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.post_init_log"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.post_proc"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.preflight"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.queue_shape"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.queue_thread"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.running"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.shape"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.start"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.stop"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.transform"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.wrap"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-batch-queues-dc-batchqueuedc">
+<h1>sup3r.preprocessing.batch_queues.dc.BatchQueueDC<a class="headerlink" href="#sup3r-preprocessing-batch-queues-dc-batchqueuedc" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">BatchQueueDC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samplers</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_space_bins</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_time_bins</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_batches</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">queue_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">thread_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'training'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'lazy'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/dc.html#BatchQueueDC"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue" title="sup3r.preprocessing.batch_queues.base.SingleBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">SingleBatchQueue</span></code></a></p>
+<p>Sample from data based on spatial and temporal weights. These weights
+can be derived from validation training losses and updated during training
+or set a priori to construct a validation queue</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samplers</strong> (<em>List[Sampler]</em>) – List of Sampler instances</p></li>
+<li><p><strong>n_space_bins</strong> (<em>int</em>) – Number of spatial bins to use for weighted sampling. e.g. if this
+is 4 the spatial domain will be divided into 4 equal regions and
+losses will be calculated across these regions during traning in
+order to adaptively sample from lower performing regions.</p></li>
+<li><p><strong>n_time_bins</strong> (<em>int</em>) – Number of time bins to use for weighted sampling. e.g. if this
+is 4 the temporal domain will be divided into 4 equal periods and
+losses will be calculated across these periods during traning in
+order to adaptively sample from lower performing time periods.</p></li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Keyword arguments for parent class.</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of observations / samples in a batch</p></li>
+<li><p><strong>n_batches</strong> (<em>int</em>) – Number of batches in an epoch, this sets the iteration limit for
+this object.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes is to be enhanced.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Integer factor by which the temporal axes is to be enhanced.</p></li>
+<li><p><strong>queue_cap</strong> (<em>int</em>) – Maximum number of batches the batch queue can store.</p></li>
+<li><p><strong>transform_kwargs</strong> (<em>Union[Dict, None]</em>) – Dictionary of kwargs to be passed to <cite>self.transform</cite>. This method
+performs smoothing / coarsening.</p></li>
+<li><p><strong>thread_name</strong> (<em>str</em>) – Name of the queue thread. Default is ‘training’. Used to set name
+to ‘validation’ for <code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code>, which has a training and
+validation queue.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Loading mode. Default is ‘lazy’, which only loads data into memory
+as batches are queued. ‘eager’ will load all data into memory right
+away.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.check_enhancement_factors" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.check_enhancement_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_enhancement_factors</span></code></a>()</p></td>
+<td><p>Make sure the enhancement factors evenly divide the sample_shape.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.check_features" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.check_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_features</span></code></a>()</p></td>
+<td><p>Make sure all samplers have the same sets of features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.check_shared_attr" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.enqueue_batch" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.enqueue_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batch</span></code></a>()</p></td>
+<td><p>Build batch and send to queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.enqueue_batches" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.enqueue_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batches</span></code></a>()</p></td>
+<td><p>Callback function for queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_batch" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_batch</span></code></a>()</p></td>
+<td><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through <code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_container_index" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_container_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_container_index</span></code></a>()</p></td>
+<td><p>Get random container index based on weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_queue" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_queue</span></code></a>()</p></td>
+<td><p>Return FIFO queue for storing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_random_container" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_random_container"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_random_container</span></code></a>()</p></td>
+<td><p>Get random container based on container weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.log_queue_info" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.log_queue_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_queue_info</span></code></a>()</p></td>
+<td><p>Log info about queue size.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.post_init_log" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.post_proc" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.post_proc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_proc</span></code></a>(samples)</p></td>
+<td><p>Performs some post proc on dequeued samples before sending out for training.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.preflight" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run checks before kicking off the queue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.sample_batch" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.sample_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_batch</span></code></a>()</p></td>
+<td><p>Update weights and get batch of samples from sampled container.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.start" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start</span></code></a>()</p></td>
+<td><p>Start thread to keep sample queue full for batches.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.stop" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop</span></code></a>()</p></td>
+<td><p>Stop loading batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.transform" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(samples[, smoothing, ...])</p></td>
+<td><p>Coarsen high res data to get corresponding low res batch.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.update_weights" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.update_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_weights</span></code></a>(spatial_weights, temporal_weights)</p></td>
+<td><p>Set weights used to sample spatial and temporal bins.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.wrap" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.container_weights" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.data" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.features" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.hr_shape" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Shape of high resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.lr_shape" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Shape of low resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.queue_shape" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.queue_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_shape</span></code></a></p></td>
+<td><p>Shape of objects stored in the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.queue_thread" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.queue_thread"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_thread</span></code></a></p></td>
+<td><p>Get new queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.running" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.running"><code class="xref py py-obj docutils literal notranslate"><span class="pre">running</span></code></a></p></td>
+<td><p>Boolean to check whether to keep enqueueing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.shape" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.spatial_weights" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.spatial_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">spatial_weights</span></code></a></p></td>
+<td><p>Get weights used to sample spatial bins.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.temporal_weights" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.temporal_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">temporal_weights</span></code></a></p></td>
+<td><p>Get weights used to sample temporal bins.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.sample_batch">
+<span class="sig-name descname"><span class="pre">sample_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/dc.html#BatchQueueDC.sample_batch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.sample_batch" title="Link to this definition">#</a></dt>
+<dd><p>Update weights and get batch of samples from sampled container.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.spatial_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">spatial_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.spatial_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample spatial bins.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.temporal_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">temporal_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.temporal_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample temporal bins.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.update_weights">
+<span class="sig-name descname"><span class="pre">update_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spatial_weights</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_weights</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/dc.html#BatchQueueDC.update_weights"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.update_weights" title="Link to this definition">#</a></dt>
+<dd><p>Set weights used to sample spatial and temporal bins. This is called
+by <code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rGanDC</span></code> after an epoch to update weights based on model
+performance across validation samples.</p>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of Batch(low_res, high_res)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.check_enhancement_factors">
+<span class="sig-name descname"><span class="pre">check_enhancement_factors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.check_enhancement_factors" title="Link to this definition">#</a></dt>
+<dd><p>Make sure the enhancement factors evenly divide the sample_shape.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.check_features">
+<span class="sig-name descname"><span class="pre">check_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.check_features" title="Link to this definition">#</a></dt>
+<dd><p>Make sure all samplers have the same sets of features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.wrap" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.enqueue_batch">
+<span class="sig-name descname"><span class="pre">enqueue_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.enqueue_batch" title="Link to this definition">#</a></dt>
+<dd><p>Build batch and send to queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.enqueue_batches">
+<span class="sig-name descname"><span class="pre">enqueue_batches</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.enqueue_batches" title="Link to this definition">#</a></dt>
+<dd><p>Callback function for queue thread. While training, the queue is
+checked for empty spots and filled. In the training thread, batches are
+removed from the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_batch">
+<span class="sig-name descname"><span class="pre">get_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through
+<code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_container_index">
+<span class="sig-name descname"><span class="pre">get_container_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_container_index" title="Link to this definition">#</a></dt>
+<dd><p>Get random container index based on weights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_queue">
+<span class="sig-name descname"><span class="pre">get_queue</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_queue" title="Link to this definition">#</a></dt>
+<dd><p>Return FIFO queue for storing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_random_container">
+<span class="sig-name descname"><span class="pre">get_random_container</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_random_container" title="Link to this definition">#</a></dt>
+<dd><p>Get random container based on container weights</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of high resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.log_queue_info">
+<span class="sig-name descname"><span class="pre">log_queue_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.log_queue_info" title="Link to this definition">#</a></dt>
+<dd><p>Log info about queue size.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of low resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.post_proc">
+<span class="sig-name descname"><span class="pre">post_proc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.post_proc" title="Link to this definition">#</a></dt>
+<dd><p>Performs some post proc on dequeued samples before sending out for
+training. Post processing can include coarsening on high-res data (if
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code> consists of <code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects and not
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> objects), smoothing, etc</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>Batch</strong> (<em>namedtuple</em>) – namedtuple with <cite>low_res</cite> and <cite>high_res</cite> attributes</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run checks before kicking off the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.queue_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.queue_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of objects stored in the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.queue_thread">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_thread</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.queue_thread" title="Link to this definition">#</a></dt>
+<dd><p>Get new queue thread.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.running">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">running</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.running" title="Link to this definition">#</a></dt>
+<dd><p>Boolean to check whether to keep enqueueing batches.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.start">
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.start" title="Link to this definition">#</a></dt>
+<dd><p>Start thread to keep sample queue full for batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.stop">
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.stop" title="Link to this definition">#</a></dt>
+<dd><p>Stop loading batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.transform">
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_ignore</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_coarsening_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'subsample'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.transform" title="Link to this definition">#</a></dt>
+<dd><p>Coarsen high res data to get corresponding low res batch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samples</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – High resolution batch of samples.
+4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>smoothing</strong> (<em>float | None</em>) – Standard deviation to use for gaussian filtering of the coarse
+data. This can be tuned by matching the kinetic energy of a low
+resolution simulation with the kinetic energy of a coarsened and
+smoothed high resolution simulation. If None no smoothing is
+performed.</p></li>
+<li><p><strong>smoothing_ignore</strong> (<em>list | None</em>) – List of features to ignore for the smoothing filter. None will
+smooth all features if smoothing kwarg is not None</p></li>
+<li><p><strong>temporal_coarsening_method</strong> (<em>str</em>) – Method to use for temporal coarsening. Can be subsample, average,
+min, max, or total</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>low_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
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+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.sample_batch"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.spatial_weights"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.spatial_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.temporal_weights"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.temporal_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.update_weights"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.update_weights()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.count"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.index"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.check_features"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.container_weights"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.data"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.features"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_batch"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_container_index"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_queue"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_random_container"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.hr_shape"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.log_queue_info"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.lr_shape"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.post_init_log"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.post_proc"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.preflight"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.queue_shape"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.queue_thread"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.running"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.shape"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.start"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.stop"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.transform"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.wrap"><code class="docutils literal notranslate"><span class="pre">BatchQueueDC.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
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+    <h1>sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.spatial_weights"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.spatial_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.temporal_weights"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.temporal_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.count"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.index"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.check_features"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.container_weights"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.data"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.features"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_batch"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_container_index"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_queue"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_random_container"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.hr_shape"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.log_queue_info"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.lr_shape"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.post_init_log"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.post_proc"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.preflight"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.queue_shape"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.queue_thread"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.running"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.sample_batch"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.shape"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.start"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.stop"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.transform"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.update_weights"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.update_weights()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.wrap"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-batch-queues-dc-valbatchqueuedc">
+<h1>sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC<a class="headerlink" href="#sup3r-preprocessing-batch-queues-dc-valbatchqueuedc" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ValBatchQueueDC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samplers</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_space_bins</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_time_bins</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_batches</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">queue_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">thread_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'training'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'lazy'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/dc.html#ValBatchQueueDC"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchQueueDC</span></code></a></p>
+<p>Queue to construct a single batch for each spatiotemporal validation
+bin. e.g. If we have 4 time bins and 1 space bin this will get <cite>batch_size</cite>
+samples for 4 batches, with <cite>batch_size</cite> samples from each bin. The model
+performance across these batches will determine the weights for how the
+training batch queue is sampled.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samplers</strong> (<em>List[Sampler]</em>) – List of Sampler instances</p></li>
+<li><p><strong>n_space_bins</strong> (<em>int</em>) – Number of spatial bins to use for weighted sampling. e.g. if this
+is 4 the spatial domain will be divided into 4 equal regions and
+losses will be calculated across these regions during traning in
+order to adaptively sample from lower performing regions.</p></li>
+<li><p><strong>n_time_bins</strong> (<em>int</em>) – Number of time bins to use for weighted sampling. e.g. if this
+is 4 the temporal domain will be divided into 4 equal periods and
+losses will be calculated across these periods during traning in
+order to adaptively sample from lower performing time periods.</p></li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Keyword arguments for parent class.</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of observations / samples in a batch</p></li>
+<li><p><strong>n_batches</strong> (<em>int</em>) – Number of batches in an epoch, this sets the iteration limit for
+this object.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes is to be enhanced.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Integer factor by which the temporal axes is to be enhanced.</p></li>
+<li><p><strong>queue_cap</strong> (<em>int</em>) – Maximum number of batches the batch queue can store.</p></li>
+<li><p><strong>transform_kwargs</strong> (<em>Union[Dict, None]</em>) – Dictionary of kwargs to be passed to <cite>self.transform</cite>. This method
+performs smoothing / coarsening.</p></li>
+<li><p><strong>thread_name</strong> (<em>str</em>) – Name of the queue thread. Default is ‘training’. Used to set name
+to ‘validation’ for <code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code>, which has a training and
+validation queue.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Loading mode. Default is ‘lazy’, which only loads data into memory
+as batches are queued. ‘eager’ will load all data into memory right
+away.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.check_enhancement_factors" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.check_enhancement_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_enhancement_factors</span></code></a>()</p></td>
+<td><p>Make sure the enhancement factors evenly divide the sample_shape.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.check_features" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.check_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_features</span></code></a>()</p></td>
+<td><p>Make sure all samplers have the same sets of features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.check_shared_attr" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.enqueue_batch" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.enqueue_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batch</span></code></a>()</p></td>
+<td><p>Build batch and send to queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.enqueue_batches" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.enqueue_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batches</span></code></a>()</p></td>
+<td><p>Callback function for queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_batch" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_batch</span></code></a>()</p></td>
+<td><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through <code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_container_index" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_container_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_container_index</span></code></a>()</p></td>
+<td><p>Get random container index based on weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_queue" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_queue</span></code></a>()</p></td>
+<td><p>Return FIFO queue for storing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_random_container" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_random_container"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_random_container</span></code></a>()</p></td>
+<td><p>Get random container based on container weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.log_queue_info" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.log_queue_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_queue_info</span></code></a>()</p></td>
+<td><p>Log info about queue size.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.post_init_log" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.post_proc" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.post_proc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_proc</span></code></a>(samples)</p></td>
+<td><p>Performs some post proc on dequeued samples before sending out for training.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.preflight" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run checks before kicking off the queue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.sample_batch" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.sample_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_batch</span></code></a>()</p></td>
+<td><p>Update weights and get batch of samples from sampled container.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.start" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start</span></code></a>()</p></td>
+<td><p>Start thread to keep sample queue full for batches.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.stop" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop</span></code></a>()</p></td>
+<td><p>Stop loading batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.transform" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(samples[, smoothing, ...])</p></td>
+<td><p>Coarsen high res data to get corresponding low res batch.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.update_weights" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.update_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_weights</span></code></a>(spatial_weights, temporal_weights)</p></td>
+<td><p>Set weights used to sample spatial and temporal bins.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.wrap" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.container_weights" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.data" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.features" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.hr_shape" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Shape of high resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.lr_shape" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Shape of low resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.queue_shape" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.queue_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_shape</span></code></a></p></td>
+<td><p>Shape of objects stored in the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.queue_thread" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.queue_thread"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_thread</span></code></a></p></td>
+<td><p>Get new queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.running" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.running"><code class="xref py py-obj docutils literal notranslate"><span class="pre">running</span></code></a></p></td>
+<td><p>Boolean to check whether to keep enqueueing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.shape" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.spatial_weights" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.spatial_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">spatial_weights</span></code></a></p></td>
+<td><p>Sample entirely from this spatial bin determined by the batch number.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.temporal_weights" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.temporal_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">temporal_weights</span></code></a></p></td>
+<td><p>Sample entirely from this temporal bin determined by the batch number.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.spatial_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">spatial_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.spatial_weights" title="Link to this definition">#</a></dt>
+<dd><p>Sample entirely from this spatial bin determined by the batch
+number.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.temporal_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">temporal_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.temporal_weights" title="Link to this definition">#</a></dt>
+<dd><p>Sample entirely from this temporal bin determined by the batch
+number.</p>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of Batch(low_res, high_res)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.check_enhancement_factors">
+<span class="sig-name descname"><span class="pre">check_enhancement_factors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.check_enhancement_factors" title="Link to this definition">#</a></dt>
+<dd><p>Make sure the enhancement factors evenly divide the sample_shape.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.check_features">
+<span class="sig-name descname"><span class="pre">check_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.check_features" title="Link to this definition">#</a></dt>
+<dd><p>Make sure all samplers have the same sets of features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.wrap" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.enqueue_batch">
+<span class="sig-name descname"><span class="pre">enqueue_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.enqueue_batch" title="Link to this definition">#</a></dt>
+<dd><p>Build batch and send to queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.enqueue_batches">
+<span class="sig-name descname"><span class="pre">enqueue_batches</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.enqueue_batches" title="Link to this definition">#</a></dt>
+<dd><p>Callback function for queue thread. While training, the queue is
+checked for empty spots and filled. In the training thread, batches are
+removed from the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_batch">
+<span class="sig-name descname"><span class="pre">get_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through
+<code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_container_index">
+<span class="sig-name descname"><span class="pre">get_container_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_container_index" title="Link to this definition">#</a></dt>
+<dd><p>Get random container index based on weights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_queue">
+<span class="sig-name descname"><span class="pre">get_queue</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_queue" title="Link to this definition">#</a></dt>
+<dd><p>Return FIFO queue for storing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_random_container">
+<span class="sig-name descname"><span class="pre">get_random_container</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_random_container" title="Link to this definition">#</a></dt>
+<dd><p>Get random container based on container weights</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of high resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.log_queue_info">
+<span class="sig-name descname"><span class="pre">log_queue_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.log_queue_info" title="Link to this definition">#</a></dt>
+<dd><p>Log info about queue size.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of low resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.post_proc">
+<span class="sig-name descname"><span class="pre">post_proc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.post_proc" title="Link to this definition">#</a></dt>
+<dd><p>Performs some post proc on dequeued samples before sending out for
+training. Post processing can include coarsening on high-res data (if
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code> consists of <code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects and not
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> objects), smoothing, etc</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>Batch</strong> (<em>namedtuple</em>) – namedtuple with <cite>low_res</cite> and <cite>high_res</cite> attributes</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run checks before kicking off the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.queue_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.queue_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of objects stored in the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.queue_thread">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_thread</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.queue_thread" title="Link to this definition">#</a></dt>
+<dd><p>Get new queue thread.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.running">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">running</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.running" title="Link to this definition">#</a></dt>
+<dd><p>Boolean to check whether to keep enqueueing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.sample_batch">
+<span class="sig-name descname"><span class="pre">sample_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.sample_batch" title="Link to this definition">#</a></dt>
+<dd><p>Update weights and get batch of samples from sampled container.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.start">
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.start" title="Link to this definition">#</a></dt>
+<dd><p>Start thread to keep sample queue full for batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.stop">
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.stop" title="Link to this definition">#</a></dt>
+<dd><p>Stop loading batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.transform">
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_ignore</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_coarsening_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'subsample'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.transform" title="Link to this definition">#</a></dt>
+<dd><p>Coarsen high res data to get corresponding low res batch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samples</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – High resolution batch of samples.
+4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>smoothing</strong> (<em>float | None</em>) – Standard deviation to use for gaussian filtering of the coarse
+data. This can be tuned by matching the kinetic energy of a low
+resolution simulation with the kinetic energy of a coarsened and
+smoothed high resolution simulation. If None no smoothing is
+performed.</p></li>
+<li><p><strong>smoothing_ignore</strong> (<em>list | None</em>) – List of features to ignore for the smoothing filter. None will
+smooth all features if smoothing kwarg is not None</p></li>
+<li><p><strong>temporal_coarsening_method</strong> (<em>str</em>) – Method to use for temporal coarsening. Can be subsample, average,
+min, max, or total</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>low_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.update_weights">
+<span class="sig-name descname"><span class="pre">update_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spatial_weights</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_weights</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.update_weights" title="Link to this definition">#</a></dt>
+<dd><p>Set weights used to sample spatial and temporal bins. This is called
+by <code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rGanDC</span></code> after an epoch to update weights based on model
+performance across validation samples.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.spatial_weights"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.spatial_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.temporal_weights"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.temporal_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.count"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.index"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.check_features"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.container_weights"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.data"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.features"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_batch"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_container_index"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_queue"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_random_container"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.hr_shape"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.log_queue_info"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.lr_shape"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.post_init_log"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.post_proc"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.preflight"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.queue_shape"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.queue_thread"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.running"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.sample_batch"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.shape"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.start"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.stop"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.transform"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.update_weights"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.update_weights()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.wrap"><code class="docutils literal notranslate"><span class="pre">ValBatchQueueDC.wrap()</span></code></a></li>
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+  <section id="module-sup3r.preprocessing.batch_queues.dc">
+<span id="sup3r-preprocessing-batch-queues-dc"></span><h1>sup3r.preprocessing.batch_queues.dc<a class="headerlink" href="#module-sup3r.preprocessing.batch_queues.dc" title="Link to this heading">#</a></h1>
+<p>Data centric batch handler for dynamic batching strategy based on
+performance during training</p>
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+<td><p>Queue to construct a single batch for each spatiotemporal validation bin.</p></td>
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diff --git a/_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html b/_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html
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+    <h1>sup3r.preprocessing.batch_queues.dual.DualBatchQueue</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.queue_shape"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.transform"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.count"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.index"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.check_features"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.container_weights"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.data"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.features"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_batch"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_container_index"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_queue"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_random_container"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.hr_shape"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.log_queue_info"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.lr_shape"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.post_init_log"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.post_proc"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.preflight"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.queue_thread"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.running"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.sample_batch"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.shape"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.start"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.stop"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.wrap"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-batch-queues-dual-dualbatchqueue">
+<h1>sup3r.preprocessing.batch_queues.dual.DualBatchQueue<a class="headerlink" href="#sup3r-preprocessing-batch-queues-dual-dualbatchqueue" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">DualBatchQueue</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samplers</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_batches</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">queue_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">thread_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'training'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'lazy'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/dual.html#DualBatchQueue"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue" title="sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">AbstractBatchQueue</span></code></a></p>
+<p>Base BatchQueue for use with
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> objects.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samplers</strong> (<em>List[Sampler]</em>) – List of Sampler instances</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of observations / samples in a batch</p></li>
+<li><p><strong>n_batches</strong> (<em>int</em>) – Number of batches in an epoch, this sets the iteration limit for
+this object.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes is to be enhanced.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Integer factor by which the temporal axes is to be enhanced.</p></li>
+<li><p><strong>queue_cap</strong> (<em>int</em>) – Maximum number of batches the batch queue can store.</p></li>
+<li><p><strong>transform_kwargs</strong> (<em>Union[Dict, None]</em>) – Dictionary of kwargs to be passed to <cite>self.transform</cite>. This method
+performs smoothing / coarsening.</p></li>
+<li><p><strong>thread_name</strong> (<em>str</em>) – Name of the queue thread. Default is ‘training’. Used to set name
+to ‘validation’ for <code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code>, which has a training and
+validation queue.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Loading mode. Default is ‘lazy’, which only loads data into memory
+as batches are queued. ‘eager’ will load all data into memory right
+away.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.check_enhancement_factors" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.check_enhancement_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_enhancement_factors</span></code></a>()</p></td>
+<td><p>Make sure each DualSampler has the same enhancment factors and they match those provided to the BatchQueue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.check_features" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.check_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_features</span></code></a>()</p></td>
+<td><p>Make sure all samplers have the same sets of features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.check_shared_attr" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.enqueue_batch" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.enqueue_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batch</span></code></a>()</p></td>
+<td><p>Build batch and send to queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.enqueue_batches" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.enqueue_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batches</span></code></a>()</p></td>
+<td><p>Callback function for queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_batch" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_batch</span></code></a>()</p></td>
+<td><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through <code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_container_index" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_container_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_container_index</span></code></a>()</p></td>
+<td><p>Get random container index based on weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_queue" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_queue</span></code></a>()</p></td>
+<td><p>Return FIFO queue for storing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_random_container" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_random_container"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_random_container</span></code></a>()</p></td>
+<td><p>Get random container based on container weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.log_queue_info" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.log_queue_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_queue_info</span></code></a>()</p></td>
+<td><p>Log info about queue size.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.post_init_log" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.post_proc" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.post_proc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_proc</span></code></a>(samples)</p></td>
+<td><p>Performs some post proc on dequeued samples before sending out for training.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.preflight" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run checks before kicking off the queue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.sample_batch" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.sample_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_batch</span></code></a>()</p></td>
+<td><p>Get random sampler from collection and return a batch of samples from that sampler.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.start" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start</span></code></a>()</p></td>
+<td><p>Start thread to keep sample queue full for batches.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.stop" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop</span></code></a>()</p></td>
+<td><p>Stop loading batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.transform" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(samples[, smoothing, smoothing_ignore])</p></td>
+<td><p>Perform smoothing if requested.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.wrap" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.container_weights" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.data" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.features" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.hr_shape" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Shape of high resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.lr_shape" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Shape of low resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.queue_shape" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.queue_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_shape</span></code></a></p></td>
+<td><p>Shape of objects stored in the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.queue_thread" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.queue_thread"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_thread</span></code></a></p></td>
+<td><p>Get new queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.running" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.running"><code class="xref py py-obj docutils literal notranslate"><span class="pre">running</span></code></a></p></td>
+<td><p>Boolean to check whether to keep enqueueing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.shape" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.queue_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.queue_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of objects stored in the queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.check_enhancement_factors">
+<span class="sig-name descname"><span class="pre">check_enhancement_factors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/dual.html#DualBatchQueue.check_enhancement_factors"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.check_enhancement_factors" title="Link to this definition">#</a></dt>
+<dd><p>Make sure each DualSampler has the same enhancment factors and they
+match those provided to the BatchQueue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.transform">
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_ignore</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/dual.html#DualBatchQueue.transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.transform" title="Link to this definition">#</a></dt>
+<dd><p>Perform smoothing if requested.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This does not include temporal or spatial coarsening like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">SingleBatchQueue</span></code></p>
+</div>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of Batch(low_res, high_res)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.check_features">
+<span class="sig-name descname"><span class="pre">check_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.check_features" title="Link to this definition">#</a></dt>
+<dd><p>Make sure all samplers have the same sets of features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.wrap" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.enqueue_batch">
+<span class="sig-name descname"><span class="pre">enqueue_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.enqueue_batch" title="Link to this definition">#</a></dt>
+<dd><p>Build batch and send to queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.enqueue_batches">
+<span class="sig-name descname"><span class="pre">enqueue_batches</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.enqueue_batches" title="Link to this definition">#</a></dt>
+<dd><p>Callback function for queue thread. While training, the queue is
+checked for empty spots and filled. In the training thread, batches are
+removed from the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_batch">
+<span class="sig-name descname"><span class="pre">get_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through
+<code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_container_index">
+<span class="sig-name descname"><span class="pre">get_container_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_container_index" title="Link to this definition">#</a></dt>
+<dd><p>Get random container index based on weights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_queue">
+<span class="sig-name descname"><span class="pre">get_queue</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_queue" title="Link to this definition">#</a></dt>
+<dd><p>Return FIFO queue for storing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_random_container">
+<span class="sig-name descname"><span class="pre">get_random_container</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_random_container" title="Link to this definition">#</a></dt>
+<dd><p>Get random container based on container weights</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of high resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.log_queue_info">
+<span class="sig-name descname"><span class="pre">log_queue_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.log_queue_info" title="Link to this definition">#</a></dt>
+<dd><p>Log info about queue size.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of low resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.post_proc">
+<span class="sig-name descname"><span class="pre">post_proc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.post_proc" title="Link to this definition">#</a></dt>
+<dd><p>Performs some post proc on dequeued samples before sending out for
+training. Post processing can include coarsening on high-res data (if
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code> consists of <code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects and not
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> objects), smoothing, etc</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>Batch</strong> (<em>namedtuple</em>) – namedtuple with <cite>low_res</cite> and <cite>high_res</cite> attributes</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run checks before kicking off the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.queue_thread">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_thread</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.queue_thread" title="Link to this definition">#</a></dt>
+<dd><p>Get new queue thread.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.running">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">running</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.running" title="Link to this definition">#</a></dt>
+<dd><p>Boolean to check whether to keep enqueueing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.sample_batch">
+<span class="sig-name descname"><span class="pre">sample_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.sample_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get random sampler from collection and return a batch of samples
+from that sampler.</p>
+<p class="rubric">Notes</p>
+<p>These samples are wrapped in an <code class="docutils literal notranslate"><span class="pre">np.asarray</span></code> call, so they have been
+loaded into memory.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.start">
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.start" title="Link to this definition">#</a></dt>
+<dd><p>Start thread to keep sample queue full for batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.stop">
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.stop" title="Link to this definition">#</a></dt>
+<dd><p>Stop loading batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
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+              
+              
+              
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+        <p class="prev-next-title">sup3r.preprocessing.batch_queues.dual</p>
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.queue_shape"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.transform"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.count"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.index"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.check_features"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.container_weights"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.data"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.features"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_batch"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_container_index"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_queue"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_random_container"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.hr_shape"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.log_queue_info"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.lr_shape"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.post_init_log"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.post_proc"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.preflight"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.queue_thread"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.running"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.sample_batch"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.shape"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.start"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.stop"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.wrap"><code class="docutils literal notranslate"><span class="pre">DualBatchQueue.wrap()</span></code></a></li>
+</ul>
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+</ul>
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diff --git a/_autosummary/sup3r.preprocessing.batch_queues.dual.html b/_autosummary/sup3r.preprocessing.batch_queues.dual.html
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+  <section id="module-sup3r.preprocessing.batch_queues.dual">
+<span id="sup3r-preprocessing-batch-queues-dual"></span><h1>sup3r.preprocessing.batch_queues.dual<a class="headerlink" href="#module-sup3r.preprocessing.batch_queues.dual" title="Link to this heading">#</a></h1>
+<p>Base objects which generate, build, and operate on batches. Also can
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+  <section id="module-sup3r.preprocessing.batch_queues">
+<span id="sup3r-preprocessing-batch-queues"></span><h1>sup3r.preprocessing.batch_queues<a class="headerlink" href="#module-sup3r.preprocessing.batch_queues" title="Link to this heading">#</a></h1>
+<p>Container collection objects used to build batches for training.</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_queues.abstract.html#module-sup3r.preprocessing.batch_queues.abstract" title="sup3r.preprocessing.batch_queues.abstract"><code class="xref py py-obj docutils literal notranslate"><span class="pre">abstract</span></code></a></p></td>
+<td><p>Abstract batch queue class used for multi-threaded batching / training.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_queues.base.html#module-sup3r.preprocessing.batch_queues.base" title="sup3r.preprocessing.batch_queues.base"><code class="xref py py-obj docutils literal notranslate"><span class="pre">base</span></code></a></p></td>
+<td><p>Base objects which generate, build, and operate on batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_queues.conditional.html#module-sup3r.preprocessing.batch_queues.conditional" title="sup3r.preprocessing.batch_queues.conditional"><code class="xref py py-obj docutils literal notranslate"><span class="pre">conditional</span></code></a></p></td>
+<td><p>Abstract batch queue class used for conditional moment estimation.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_queues.dc.html#module-sup3r.preprocessing.batch_queues.dc" title="sup3r.preprocessing.batch_queues.dc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dc</span></code></a></p></td>
+<td><p>Data centric batch handler for dynamic batching strategy based on performance during training</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_queues.dual.html#module-sup3r.preprocessing.batch_queues.dual" title="sup3r.preprocessing.batch_queues.dual"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dual</span></code></a></p></td>
+<td><p>Base objects which generate, build, and operate on batches.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_queues.utilities.html#module-sup3r.preprocessing.batch_queues.utilities" title="sup3r.preprocessing.batch_queues.utilities"><code class="xref py py-obj docutils literal notranslate"><span class="pre">utilities</span></code></a></p></td>
+<td><p>Miscellaneous utilities shared across the batch_queues module</p></td>
+</tr>
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+  <section id="module-sup3r.preprocessing.batch_queues.utilities">
+<span id="sup3r-preprocessing-batch-queues-utilities"></span><h1>sup3r.preprocessing.batch_queues.utilities<a class="headerlink" href="#module-sup3r.preprocessing.batch_queues.utilities" title="Link to this heading">#</a></h1>
+<p>Miscellaneous utilities shared across the batch_queues module</p>
+<p class="rubric">Functions</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_queues.utilities.smooth_data.html#sup3r.preprocessing.batch_queues.utilities.smooth_data" title="sup3r.preprocessing.batch_queues.utilities.smooth_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">smooth_data</span></code></a>(low_res, training_features, ...)</p></td>
+<td><p>Smooth data using a gaussian filter</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_queues.utilities.spatial_simple_enhancing.html#sup3r.preprocessing.batch_queues.utilities.spatial_simple_enhancing" title="sup3r.preprocessing.batch_queues.utilities.spatial_simple_enhancing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">spatial_simple_enhancing</span></code></a>(data[, s_enhance, ...])</p></td>
+<td><p>Simple enhancing according to s_enhance resolution</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_queues.utilities.temporal_simple_enhancing.html#sup3r.preprocessing.batch_queues.utilities.temporal_simple_enhancing" title="sup3r.preprocessing.batch_queues.utilities.temporal_simple_enhancing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">temporal_simple_enhancing</span></code></a>(data[, t_enhance, ...])</p></td>
+<td><p>Upsample data according to t_enhance resolution</p></td>
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+  <section id="sup3r-preprocessing-batch-queues-utilities-smooth-data">
+<h1>sup3r.preprocessing.batch_queues.utilities.smooth_data<a class="headerlink" href="#sup3r-preprocessing-batch-queues-utilities-smooth-data" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.utilities.smooth_data">
+<span class="sig-name descname"><span class="pre">smooth_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">training_features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_ignore</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/utilities.html#smooth_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.utilities.smooth_data" title="Link to this definition">#</a></dt>
+<dd><p>Smooth data using a gaussian filter</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>low_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>training_features</strong> (<em>list | None</em>) – Ordered list of training features input to the generative model</p></li>
+<li><p><strong>smoothing_ignore</strong> (<em>list | None</em>) – List of features to ignore for the smoothing filter. None will
+smooth all features if smoothing kwarg is not None</p></li>
+<li><p><strong>smoothing</strong> (<em>float | None</em>) – Standard deviation to use for gaussian filtering of the coarse
+data. This can be tuned by matching the kinetic energy of a low
+resolution simulation with the kinetic energy of a coarsened and
+smoothed high resolution simulation. If None no smoothing is
+performed.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>low_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p>
+</dd>
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+<h1>sup3r.preprocessing.batch_queues.utilities.spatial_simple_enhancing<a class="headerlink" href="#sup3r-preprocessing-batch-queues-utilities-spatial-simple-enhancing" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.utilities.spatial_simple_enhancing">
+<span class="sig-name descname"><span class="pre">spatial_simple_enhancing</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">obs_axis</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/utilities.html#spatial_simple_enhancing"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.utilities.spatial_simple_enhancing" title="Link to this definition">#</a></dt>
+<dd><p>Simple enhancing according to s_enhance resolution</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 5D | 4D | 3D array with dimensions:
+(n_obs, spatial_1, spatial_2, temporal, features) (obs_axis=True)
+(n_obs, spatial_1, spatial_2, features) (obs_axis=True)
+(spatial_1, spatial_2, temporal, features) (obs_axis=False)
+(spatial_1, spatial_2, temporal_or_features) (obs_axis=False)</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – factor by which to enhance spatial dimensions</p></li>
+<li><p><strong>obs_axis</strong> (<em>bool</em>) – Flag for if axis=0 is the observation axis. If True (default)
+spatial axis=(1, 2) (zero-indexed), if False spatial axis=(0, 1)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>enhanced_data</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 3D | 4D | 5D array with same dimensions as data with new enhanced
+resolution</p>
+</dd>
+</dl>
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+  <section id="sup3r-preprocessing-batch-queues-utilities-temporal-simple-enhancing">
+<h1>sup3r.preprocessing.batch_queues.utilities.temporal_simple_enhancing<a class="headerlink" href="#sup3r-preprocessing-batch-queues-utilities-temporal-simple-enhancing" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.batch_queues.utilities.temporal_simple_enhancing">
+<span class="sig-name descname"><span class="pre">temporal_simple_enhancing</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'constant'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/batch_queues/utilities.html#temporal_simple_enhancing"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.batch_queues.utilities.temporal_simple_enhancing" title="Link to this definition">#</a></dt>
+<dd><p>Upsample data according to t_enhance resolution</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 5D array with dimensions
+(observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – factor by which to enhance temporal dimension</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – interpolation method for enhancement.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>enhanced_data</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 5D array with same dimensions as data with new enhanced resolution</p>
+</dd>
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+    <h1>sup3r.preprocessing.cachers.base.Cacher</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher"><code class="docutils literal notranslate"><span class="pre">Cacher</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.cache_data"><code class="docutils literal notranslate"><span class="pre">Cacher.cache_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.parse_chunks"><code class="docutils literal notranslate"><span class="pre">Cacher.parse_chunks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.get_chunksizes"><code class="docutils literal notranslate"><span class="pre">Cacher.get_chunksizes()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.add_coord_meta"><code class="docutils literal notranslate"><span class="pre">Cacher.add_coord_meta()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.write_h5"><code class="docutils literal notranslate"><span class="pre">Cacher.write_h5()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.get_chunk_slices"><code class="docutils literal notranslate"><span class="pre">Cacher.get_chunk_slices()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.write_chunk"><code class="docutils literal notranslate"><span class="pre">Cacher.write_chunk()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.write_netcdf_chunks"><code class="docutils literal notranslate"><span class="pre">Cacher.write_netcdf_chunks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.write_netcdf"><code class="docutils literal notranslate"><span class="pre">Cacher.write_netcdf()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.data"><code class="docutils literal notranslate"><span class="pre">Cacher.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.post_init_log"><code class="docutils literal notranslate"><span class="pre">Cacher.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.shape"><code class="docutils literal notranslate"><span class="pre">Cacher.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.wrap"><code class="docutils literal notranslate"><span class="pre">Cacher.wrap()</span></code></a></li>
+</ul>
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+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-cachers-base-cacher">
+<h1>sup3r.preprocessing.cachers.base.Cacher<a class="headerlink" href="#sup3r-preprocessing-cachers-base-cacher" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.cachers.base.Cacher">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Cacher</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX" title="sup3r.preprocessing.accessor.Sup3rX"><span class="pre">Sup3rX</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><span class="pre">Sup3rDataset</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache_kwargs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Dict" title="(in Python v3.13)"><span class="pre">Dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/cachers/base.html#Cacher"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.cachers.base.Cacher" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a></p>
+<p>Base cacher object. Simply writes given data to H5 or NETCDF files. By
+default every feature will be written to a separate file. To write multiple
+features to the same file call <a class="reference internal" href="#sup3r.preprocessing.cachers.base.Cacher.write_netcdf" title="sup3r.preprocessing.cachers.base.Cacher.write_netcdf"><code class="xref py py-meth docutils literal notranslate"><span class="pre">write_netcdf()</span></code></a> or <a class="reference internal" href="#sup3r.preprocessing.cachers.base.Cacher.write_h5" title="sup3r.preprocessing.cachers.base.Cacher.write_h5"><code class="xref py py-meth docutils literal notranslate"><span class="pre">write_h5()</span></code></a>
+directly</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>data</strong> (<em>Union[Sup3rX, Sup3rDataset]</em>) – Data to write to file</p></li>
+<li><p><strong>cache_kwargs</strong> (<em>dict</em>) – Dictionary with kwargs for caching wrangled data. This should at
+minimum include a ‘cache_pattern’ key, value. This pattern must
+have a {feature} format key and either a h5 or nc file extension,
+based on desired output type.</p>
+<p>Can also include a <code class="docutils literal notranslate"><span class="pre">max_workers</span></code> key and <code class="docutils literal notranslate"><span class="pre">chunks</span></code> key.
+<code class="docutils literal notranslate"><span class="pre">max_workers</span></code> is an inteeger specifying number of threads to use
+for writing chunks to output files and <code class="docutils literal notranslate"><span class="pre">chunks</span></code> is a dictionary
+of dictionaries for each feature (or a single dictionary to use
+for all features). e.g.
+.. code-block:: JSON</p>
+<blockquote>
+<div><dl>
+<dt>{‘cache_pattern’: …,</dt><dd><dl>
+<dt>‘chunks’: {</dt><dd><dl class="simple">
+<dt>‘u_10m’: {</dt><dd><p>‘time’: 20,
+‘south_north’: 100,
+‘west_east’: 100</p>
+</dd>
+</dl>
+<p>}</p>
+</dd>
+</dl>
+<p>}</p>
+</dd>
+</dl>
+<p>}</p>
+</div></blockquote>
+</li>
+</ul>
+</dd>
+</dl>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This is only for saving cached data. If you want to reload the
+cached files load them with a <code class="docutils literal notranslate"><span class="pre">Loader</span></code> object. <code class="docutils literal notranslate"><span class="pre">DataHandler</span></code>
+objects can cache and reload from cache automatically.</p>
+</div>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.cachers.base.Cacher.add_coord_meta" title="sup3r.preprocessing.cachers.base.Cacher.add_coord_meta"><code class="xref py py-obj docutils literal notranslate"><span class="pre">add_coord_meta</span></code></a>(out_file, data)</p></td>
+<td><p>Add flattened coordinate meta to out_file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.cachers.base.Cacher.cache_data" title="sup3r.preprocessing.cachers.base.Cacher.cache_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cache_data</span></code></a>(cache_pattern[, chunks, ...])</p></td>
+<td><p>Cache data to file with file type based on user provided cache_pattern.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.cachers.base.Cacher.get_chunk_slices" title="sup3r.preprocessing.cachers.base.Cacher.get_chunk_slices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_chunk_slices</span></code></a>(chunks, shape)</p></td>
+<td><p>Get slices used to write xarray data to netcdf file in chunks.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.cachers.base.Cacher.get_chunksizes" title="sup3r.preprocessing.cachers.base.Cacher.get_chunksizes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_chunksizes</span></code></a>(dset, data, chunks)</p></td>
+<td><p>Get chunksizes after rechunking (could be undetermined beforehand if <code class="docutils literal notranslate"><span class="pre">chunks</span> <span class="pre">==</span> <span class="pre">'auto'</span></code>) and return rechunked data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.cachers.base.Cacher.parse_chunks" title="sup3r.preprocessing.cachers.base.Cacher.parse_chunks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parse_chunks</span></code></a>(feature, chunks, dims)</p></td>
+<td><p>Parse chunks input to Cacher.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.cachers.base.Cacher.post_init_log" title="sup3r.preprocessing.cachers.base.Cacher.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.cachers.base.Cacher.wrap" title="sup3r.preprocessing.cachers.base.Cacher.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.cachers.base.Cacher.write_chunk" title="sup3r.preprocessing.cachers.base.Cacher.write_chunk"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_chunk</span></code></a>(out_file, dset, chunk_slice, ...)</p></td>
+<td><p>Add chunk to netcdf file.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.cachers.base.Cacher.write_h5" title="sup3r.preprocessing.cachers.base.Cacher.write_h5"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_h5</span></code></a>(out_file, data[, features, chunks, ...])</p></td>
+<td><p>Cache data to h5 file using user provided chunks value.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.cachers.base.Cacher.write_netcdf" title="sup3r.preprocessing.cachers.base.Cacher.write_netcdf"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_netcdf</span></code></a>(out_file, data[, features, ...])</p></td>
+<td><p>Cache data to a netcdf file.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.cachers.base.Cacher.write_netcdf_chunks" title="sup3r.preprocessing.cachers.base.Cacher.write_netcdf_chunks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write_netcdf_chunks</span></code></a>(out_file, feature, data)</p></td>
+<td><p>Write netcdf chunks with delayed dask tasks.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.cachers.base.Cacher.data" title="sup3r.preprocessing.cachers.base.Cacher.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.cachers.base.Cacher.shape" title="sup3r.preprocessing.cachers.base.Cacher.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.cachers.base.Cacher.cache_data">
+<span class="sig-name descname"><span class="pre">cache_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cache_pattern</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'w'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attrs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/cachers/base.html#Cacher.cache_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.cachers.base.Cacher.cache_data" title="Link to this definition">#</a></dt>
+<dd><p>Cache data to file with file type based on user provided
+cache_pattern.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>cache_pattern</strong> (<em>str</em>) – Cache file pattern. Must have a {feature} format key. The extension
+(.h5 or .nc) specifies which format to use for caching.</p></li>
+<li><p><strong>chunks</strong> (<em>dict | None</em>) – Chunk sizes for coordinate dimensions. e.g.
+<code class="docutils literal notranslate"><span class="pre">{'u_10m':</span> <span class="pre">{'time':</span> <span class="pre">10,</span> <span class="pre">'south_north':</span> <span class="pre">100,</span> <span class="pre">'west_east':</span> <span class="pre">100}}</span></code></p></li>
+<li><p><strong>max_workers</strong> (<em>int | None</em>) – Number of workers to use for parallel writing of chunks</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Write mode for <code class="docutils literal notranslate"><span class="pre">out_file</span></code>. Defaults to write.</p></li>
+<li><p><strong>attrs</strong> (<em>dict | None</em>) – Optional attributes to write to file. Can specify dataset specific
+attributes by adding a dictionary with the dataset name as a key.
+e.g. {<a href="#id1"><span class="problematic" id="id2">**</span></a>global_attrs, dset: {…}}</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Whether to log progress for each chunk written to output files.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.cachers.base.Cacher.parse_chunks">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">parse_chunks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/cachers/base.html#Cacher.parse_chunks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.cachers.base.Cacher.parse_chunks" title="Link to this definition">#</a></dt>
+<dd><p>Parse chunks input to Cacher. Needs to be a dictionary of dimensions
+and chunk values but parsed to a tuple for H5 caching.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.cachers.base.Cacher.get_chunksizes">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_chunksizes</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/cachers/base.html#Cacher.get_chunksizes"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.cachers.base.Cacher.get_chunksizes" title="Link to this definition">#</a></dt>
+<dd><p>Get chunksizes after rechunking (could be undetermined beforehand
+if <code class="docutils literal notranslate"><span class="pre">chunks</span> <span class="pre">==</span> <span class="pre">'auto'</span></code>) and return rechunked data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.cachers.base.Cacher.add_coord_meta">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">add_coord_meta</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/cachers/base.html#Cacher.add_coord_meta"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.cachers.base.Cacher.add_coord_meta" title="Link to this definition">#</a></dt>
+<dd><p>Add flattened coordinate meta to out_file. This is used for h5
+caching.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.cachers.base.Cacher.write_h5">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">write_h5</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'w'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attrs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/cachers/base.html#Cacher.write_h5"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.cachers.base.Cacher.write_h5" title="Link to this definition">#</a></dt>
+<dd><p>Cache data to h5 file using user provided chunks value.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>out_file</strong> (<em>str</em>) – Name of file to write. Must have a .h5 extension.</p></li>
+<li><p><strong>data</strong> (<em>Sup3rDataset | Sup3rX | xr.Dataset</em>) – Data to write to file. Comes from <code class="docutils literal notranslate"><span class="pre">self.data</span></code>, so an
+<code class="docutils literal notranslate"><span class="pre">xr.Dataset</span></code> like object with <code class="docutils literal notranslate"><span class="pre">.dims</span></code> and <code class="docutils literal notranslate"><span class="pre">.coords</span></code></p></li>
+<li><p><strong>features</strong> (<em>str | list</em>) – Name of feature(s) to write to file.</p></li>
+<li><p><strong>chunks</strong> (<em>dict | None</em>) – Chunk sizes for coordinate dimensions. e.g.
+<code class="docutils literal notranslate"><span class="pre">{'u_10m':</span> <span class="pre">{'time':</span> <span class="pre">10,</span> <span class="pre">'south_north':</span> <span class="pre">100,</span> <span class="pre">'west_east':</span> <span class="pre">100}}</span></code></p></li>
+<li><p><strong>max_workers</strong> (<em>int | None</em>) – Number of workers to use for parallel writing of chunks</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Write mode for <code class="docutils literal notranslate"><span class="pre">out_file</span></code>. Defaults to write.</p></li>
+<li><p><strong>attrs</strong> (<em>dict | None</em>) – Optional attributes to write to file. Can specify dataset specific
+attributes by adding a dictionary with the dataset name as a key.
+e.g. {<a href="#id3"><span class="problematic" id="id4">**</span></a>global_attrs, dset: {…}}</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Dummy arg to match <code class="docutils literal notranslate"><span class="pre">write_netcdf</span></code> signature</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.cachers.base.Cacher.get_chunk_slices">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_chunk_slices</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">chunks</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/cachers/base.html#Cacher.get_chunk_slices"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.cachers.base.Cacher.get_chunk_slices" title="Link to this definition">#</a></dt>
+<dd><p>Get slices used to write xarray data to netcdf file in chunks.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.cachers.base.Cacher.write_chunk">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">write_chunk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunk_slice</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunk_data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">msg</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/cachers/base.html#Cacher.write_chunk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.cachers.base.Cacher.write_chunk" title="Link to this definition">#</a></dt>
+<dd><p>Add chunk to netcdf file.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.cachers.base.Cacher.write_netcdf_chunks">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">write_netcdf_chunks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/cachers/base.html#Cacher.write_netcdf_chunks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.cachers.base.Cacher.write_netcdf_chunks" title="Link to this definition">#</a></dt>
+<dd><p>Write netcdf chunks with delayed dask tasks.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.cachers.base.Cacher.write_netcdf">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">write_netcdf</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">out_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'w'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attrs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/cachers/base.html#Cacher.write_netcdf"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.cachers.base.Cacher.write_netcdf" title="Link to this definition">#</a></dt>
+<dd><p>Cache data to a netcdf file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>out_file</strong> (<em>str</em>) – Name of file to write. Must have a <code class="docutils literal notranslate"><span class="pre">.nc</span></code> extension.</p></li>
+<li><p><strong>data</strong> (<em>Sup3rDataset</em>) – Data to write to file. Comes from <code class="docutils literal notranslate"><span class="pre">self.data</span></code>, so a
+<code class="docutils literal notranslate"><span class="pre">Sup3rDataset</span></code> with coords attributes</p></li>
+<li><p><strong>features</strong> (<em>str | list</em>) – Names of feature(s) to write to file.</p></li>
+<li><p><strong>chunks</strong> (<em>dict | None</em>) – Chunk sizes for coordinate dimensions. e.g. <code class="docutils literal notranslate"><span class="pre">{'south_north':</span> <span class="pre">100,</span>
+<span class="pre">'west_east':</span> <span class="pre">100,</span> <span class="pre">'time':</span> <span class="pre">10}</span></code> Can also include dataset specific
+values. e.g. <code class="docutils literal notranslate"><span class="pre">{'windspeed':</span> <span class="pre">{'south_north':</span> <span class="pre">100,</span> <span class="pre">'west_east':</span> <span class="pre">100,</span>
+<span class="pre">'time':</span> <span class="pre">10}}</span></code></p></li>
+<li><p><strong>max_workers</strong> (<em>int | None</em>) – Number of workers to use for parallel writing of chunks</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Write mode for <code class="docutils literal notranslate"><span class="pre">out_file</span></code>. Defaults to write.</p></li>
+<li><p><strong>attrs</strong> (<em>dict | None</em>) – Optional attributes to write to file. Can specify dataset specific
+attributes by adding a dictionary with the dataset name as a key.
+e.g. {<a href="#id5"><span class="problematic" id="id6">**</span></a>global_attrs, dset: {…}}</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Whether to log output after each chunk is written.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.cachers.base.Cacher.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.cachers.base.Cacher.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.cachers.base.Cacher.wrap" title="sup3r.preprocessing.cachers.base.Cacher.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.cachers.base.Cacher.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.cachers.base.Cacher.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.cachers.base.Cacher.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.cachers.base.Cacher.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.cachers.base.Cacher.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.cachers.base.Cacher.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.cache_data"><code class="docutils literal notranslate"><span class="pre">Cacher.cache_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.parse_chunks"><code class="docutils literal notranslate"><span class="pre">Cacher.parse_chunks()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.add_coord_meta"><code class="docutils literal notranslate"><span class="pre">Cacher.add_coord_meta()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.write_h5"><code class="docutils literal notranslate"><span class="pre">Cacher.write_h5()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.get_chunk_slices"><code class="docutils literal notranslate"><span class="pre">Cacher.get_chunk_slices()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.write_chunk"><code class="docutils literal notranslate"><span class="pre">Cacher.write_chunk()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.write_netcdf_chunks"><code class="docutils literal notranslate"><span class="pre">Cacher.write_netcdf_chunks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.write_netcdf"><code class="docutils literal notranslate"><span class="pre">Cacher.write_netcdf()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.data"><code class="docutils literal notranslate"><span class="pre">Cacher.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.post_init_log"><code class="docutils literal notranslate"><span class="pre">Cacher.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.shape"><code class="docutils literal notranslate"><span class="pre">Cacher.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.cachers.base.Cacher.wrap"><code class="docutils literal notranslate"><span class="pre">Cacher.wrap()</span></code></a></li>
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+<span id="sup3r-preprocessing-cachers-base"></span><h1>sup3r.preprocessing.cachers.base<a class="headerlink" href="#module-sup3r.preprocessing.cachers.base" title="Link to this heading">#</a></h1>
+<p>Basic objects that can cache rasterized / derived data.</p>
+<p class="rubric">Classes</p>
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+  <section id="module-sup3r.preprocessing.cachers">
+<span id="sup3r-preprocessing-cachers"></span><h1>sup3r.preprocessing.cachers<a class="headerlink" href="#module-sup3r.preprocessing.cachers" title="Link to this heading">#</a></h1>
+<p>Basic Cacher container.</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.cachers.base.html#module-sup3r.preprocessing.cachers.base" title="sup3r.preprocessing.cachers.base"><code class="xref py py-obj docutils literal notranslate"><span class="pre">base</span></code></a></p></td>
+<td><p>Basic objects that can cache rasterized / derived data.</p></td>
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+    <h1>sup3r.preprocessing.collections.base.Collection</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.base.Collection"><code class="docutils literal notranslate"><span class="pre">Collection</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.base.Collection.data"><code class="docutils literal notranslate"><span class="pre">Collection.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.base.Collection.features"><code class="docutils literal notranslate"><span class="pre">Collection.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.base.Collection.container_weights"><code class="docutils literal notranslate"><span class="pre">Collection.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.base.Collection.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">Collection.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.base.Collection.post_init_log"><code class="docutils literal notranslate"><span class="pre">Collection.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.base.Collection.shape"><code class="docutils literal notranslate"><span class="pre">Collection.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.base.Collection.wrap"><code class="docutils literal notranslate"><span class="pre">Collection.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
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+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-collections-base-collection">
+<h1>sup3r.preprocessing.collections.base.Collection<a class="headerlink" href="#sup3r-preprocessing-collections-base-collection" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.collections.base.Collection">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Collection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">containers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><span class="pre">Container</span></a><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler" title="sup3r.preprocessing.samplers.base.Sampler"><span class="pre">Sampler</span></a><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler" title="sup3r.preprocessing.samplers.dual.DualSampler"><span class="pre">DualSampler</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/collections/base.html#Collection"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.collections.base.Collection" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a></p>
+<p>Object consisting of a set of containers. These objects are distinct
+from <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> objects, which also
+contain multiple data members, because these members are completely
+independent of each other. They are collected together for the purpose of
+expanding a training dataset (e.g. BatchHandlers).</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>data</strong> (<em>Union[Sup3rX, Sup3rDataset, Tuple[Sup3rX, …],</em>) –         Tuple[Sup3rDataset, …]
+Can be an <code class="docutils literal notranslate"><span class="pre">xr.Dataset</span></code>, a <a class="reference internal" href="sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX" title="sup3r.preprocessing.accessor.Sup3rX"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rX</span></code></a> object, a
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, or a tuple of such objects.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p><code class="docutils literal notranslate"><span class="pre">.data</span></code> will return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of
+such. This is a tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple
+or 1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is
+a 2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</div>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.collections.base.Collection.check_shared_attr" title="sup3r.preprocessing.collections.base.Collection.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.collections.base.Collection.post_init_log" title="sup3r.preprocessing.collections.base.Collection.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.collections.base.Collection.wrap" title="sup3r.preprocessing.collections.base.Collection.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.collections.base.Collection.container_weights" title="sup3r.preprocessing.collections.base.Collection.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.collections.base.Collection.data" title="sup3r.preprocessing.collections.base.Collection.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.collections.base.Collection.features" title="sup3r.preprocessing.collections.base.Collection.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.collections.base.Collection.shape" title="sup3r.preprocessing.collections.base.Collection.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.collections.base.Collection.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.collections.base.Collection.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.collections.base.Collection.wrap" title="sup3r.preprocessing.collections.base.Collection.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.collections.base.Collection.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.collections.base.Collection.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.collections.base.Collection.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.collections.base.Collection.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.collections.base.Collection.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/collections/base.html#Collection.check_shared_attr"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.collections.base.Collection.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.collections.base.Collection.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.collections.base.Collection.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.collections.base.Collection.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.collections.base.Collection.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.collections.base.Collection.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.collections.base.Collection.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.base.Collection.data"><code class="docutils literal notranslate"><span class="pre">Collection.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.base.Collection.features"><code class="docutils literal notranslate"><span class="pre">Collection.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.base.Collection.container_weights"><code class="docutils literal notranslate"><span class="pre">Collection.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.base.Collection.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">Collection.check_shared_attr()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.base.Collection.wrap"><code class="docutils literal notranslate"><span class="pre">Collection.wrap()</span></code></a></li>
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+  <section id="module-sup3r.preprocessing.collections.base">
+<span id="sup3r-preprocessing-collections-base"></span><h1>sup3r.preprocessing.collections.base<a class="headerlink" href="#module-sup3r.preprocessing.collections.base" title="Link to this heading">#</a></h1>
+<p>Base collection classes. These are objects that contain sets / lists of
+containers like batch handlers. Of course these also contain data so they’re
+containers too!</p>
+<p>TODO: <a class="github reference external" href="https://github.com/xarray-contrib/datatree">xarray-contrib/datatree</a> could unify Sup3rDataset and
+collections of data. Consider migrating once datatree has been fully
+integrated into xarray (in progress as of 8/8/2024)</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Collection</span></code></a>(containers)</p></td>
+<td><p>Object consisting of a set of containers.</p></td>
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+  <section id="module-sup3r.preprocessing.collections">
+<span id="sup3r-preprocessing-collections"></span><h1>sup3r.preprocessing.collections<a class="headerlink" href="#module-sup3r.preprocessing.collections" title="Link to this heading">#</a></h1>
+<p>Classes consisting of collections of containers.</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.collections.base.html#module-sup3r.preprocessing.collections.base" title="sup3r.preprocessing.collections.base"><code class="xref py py-obj docutils literal notranslate"><span class="pre">base</span></code></a></p></td>
+<td><p>Base collection classes.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.collections.stats.html#module-sup3r.preprocessing.collections.stats" title="sup3r.preprocessing.collections.stats"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stats</span></code></a></p></td>
+<td><p>Collection object with methods to compute and save stats.</p></td>
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+    <h1>sup3r.preprocessing.collections.stats.StatsCollection</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.stats.StatsCollection"><code class="docutils literal notranslate"><span class="pre">StatsCollection</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.stats.StatsCollection.get_means"><code class="docutils literal notranslate"><span class="pre">StatsCollection.get_means()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.stats.StatsCollection.get_stds"><code class="docutils literal notranslate"><span class="pre">StatsCollection.get_stds()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.stats.StatsCollection.save_stats"><code class="docutils literal notranslate"><span class="pre">StatsCollection.save_stats()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.stats.StatsCollection.normalize"><code class="docutils literal notranslate"><span class="pre">StatsCollection.normalize()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.stats.StatsCollection.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">StatsCollection.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.stats.StatsCollection.container_weights"><code class="docutils literal notranslate"><span class="pre">StatsCollection.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.stats.StatsCollection.data"><code class="docutils literal notranslate"><span class="pre">StatsCollection.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.stats.StatsCollection.features"><code class="docutils literal notranslate"><span class="pre">StatsCollection.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.stats.StatsCollection.post_init_log"><code class="docutils literal notranslate"><span class="pre">StatsCollection.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.stats.StatsCollection.shape"><code class="docutils literal notranslate"><span class="pre">StatsCollection.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.stats.StatsCollection.wrap"><code class="docutils literal notranslate"><span class="pre">StatsCollection.wrap()</span></code></a></li>
+</ul>
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+</ul>
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+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-collections-stats-statscollection">
+<h1>sup3r.preprocessing.collections.stats.StatsCollection<a class="headerlink" href="#sup3r-preprocessing-collections-stats-statscollection" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.collections.stats.StatsCollection">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">StatsCollection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">containers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">means</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stds</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/collections/stats.html#StatsCollection"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.collections.stats.StatsCollection" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a></p>
+<p>Extended collection object with methods for computing means and stds and
+saving these to files.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>We write stats as float64 because float32 is not json serializable</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>containers</strong> (<em>List[Rasterizer]</em>) – List of containers to compute stats for.</p></li>
+<li><p><strong>means</strong> (<em>str | dict | None</em>) – Usually a file path for saving results, or None for just
+calculating stats and not saving. Can also be a dict, which will
+just get returned as the “result”.</p></li>
+<li><p><strong>stds</strong> (<em>str | dict | None</em>) – Usually a file path for saving results, or None for just
+calculating stats and not saving. Can also be a dict, which will
+just get returned as the “result”.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.collections.stats.StatsCollection.check_shared_attr" title="sup3r.preprocessing.collections.stats.StatsCollection.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.collections.stats.StatsCollection.get_means" title="sup3r.preprocessing.collections.stats.StatsCollection.get_means"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_means</span></code></a>(means)</p></td>
+<td><p>Dictionary of means for each feature, computed across all data handlers.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.collections.stats.StatsCollection.get_stds" title="sup3r.preprocessing.collections.stats.StatsCollection.get_stds"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_stds</span></code></a>(stds)</p></td>
+<td><p>Dictionary of standard deviations for each feature, computed across all data handlers.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.collections.stats.StatsCollection.normalize" title="sup3r.preprocessing.collections.stats.StatsCollection.normalize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">normalize</span></code></a>(containers)</p></td>
+<td><p>Normalize container data with computed stats.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.collections.stats.StatsCollection.post_init_log" title="sup3r.preprocessing.collections.stats.StatsCollection.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.collections.stats.StatsCollection.save_stats" title="sup3r.preprocessing.collections.stats.StatsCollection.save_stats"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save_stats</span></code></a>(stds, means)</p></td>
+<td><p>Save stats to json files.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.collections.stats.StatsCollection.wrap" title="sup3r.preprocessing.collections.stats.StatsCollection.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.collections.stats.StatsCollection.container_weights" title="sup3r.preprocessing.collections.stats.StatsCollection.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.collections.stats.StatsCollection.data" title="sup3r.preprocessing.collections.stats.StatsCollection.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.collections.stats.StatsCollection.features" title="sup3r.preprocessing.collections.stats.StatsCollection.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.collections.stats.StatsCollection.shape" title="sup3r.preprocessing.collections.stats.StatsCollection.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.collections.stats.StatsCollection.get_means">
+<span class="sig-name descname"><span class="pre">get_means</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">means</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/collections/stats.html#StatsCollection.get_means"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.collections.stats.StatsCollection.get_means" title="Link to this definition">#</a></dt>
+<dd><p>Dictionary of means for each feature, computed across all data
+handlers.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.collections.stats.StatsCollection.get_stds">
+<span class="sig-name descname"><span class="pre">get_stds</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">stds</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/collections/stats.html#StatsCollection.get_stds"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.collections.stats.StatsCollection.get_stds" title="Link to this definition">#</a></dt>
+<dd><p>Dictionary of standard deviations for each feature, computed across
+all data handlers.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.collections.stats.StatsCollection.save_stats">
+<span class="sig-name descname"><span class="pre">save_stats</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">stds</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">means</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/collections/stats.html#StatsCollection.save_stats"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.collections.stats.StatsCollection.save_stats" title="Link to this definition">#</a></dt>
+<dd><p>Save stats to json files.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.collections.stats.StatsCollection.normalize">
+<span class="sig-name descname"><span class="pre">normalize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">containers</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/collections/stats.html#StatsCollection.normalize"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.collections.stats.StatsCollection.normalize" title="Link to this definition">#</a></dt>
+<dd><p>Normalize container data with computed stats.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.collections.stats.StatsCollection.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.collections.stats.StatsCollection.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.collections.stats.StatsCollection.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.preprocessing.collections.stats.StatsCollection.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.collections.stats.StatsCollection.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.collections.stats.StatsCollection.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.collections.stats.StatsCollection.wrap" title="sup3r.preprocessing.collections.stats.StatsCollection.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.collections.stats.StatsCollection.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.preprocessing.collections.stats.StatsCollection.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.collections.stats.StatsCollection.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.collections.stats.StatsCollection.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.collections.stats.StatsCollection.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.collections.stats.StatsCollection.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.collections.stats.StatsCollection.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.collections.stats.StatsCollection.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.stats.StatsCollection"><code class="docutils literal notranslate"><span class="pre">StatsCollection</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.stats.StatsCollection.get_means"><code class="docutils literal notranslate"><span class="pre">StatsCollection.get_means()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.stats.StatsCollection.get_stds"><code class="docutils literal notranslate"><span class="pre">StatsCollection.get_stds()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.stats.StatsCollection.save_stats"><code class="docutils literal notranslate"><span class="pre">StatsCollection.save_stats()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.stats.StatsCollection.normalize"><code class="docutils literal notranslate"><span class="pre">StatsCollection.normalize()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.stats.StatsCollection.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">StatsCollection.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.stats.StatsCollection.container_weights"><code class="docutils literal notranslate"><span class="pre">StatsCollection.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.stats.StatsCollection.data"><code class="docutils literal notranslate"><span class="pre">StatsCollection.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.stats.StatsCollection.features"><code class="docutils literal notranslate"><span class="pre">StatsCollection.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.stats.StatsCollection.post_init_log"><code class="docutils literal notranslate"><span class="pre">StatsCollection.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.stats.StatsCollection.shape"><code class="docutils literal notranslate"><span class="pre">StatsCollection.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.collections.stats.StatsCollection.wrap"><code class="docutils literal notranslate"><span class="pre">StatsCollection.wrap()</span></code></a></li>
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+<span id="sup3r-preprocessing-collections-stats"></span><h1>sup3r.preprocessing.collections.stats<a class="headerlink" href="#module-sup3r.preprocessing.collections.stats" title="Link to this heading">#</a></h1>
+<p>Collection object with methods to compute and save stats.</p>
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+    <h1>sup3r.preprocessing.data_handlers.exo.ExoData</h1>
+    <!-- Table of contents -->
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData"><code class="docutils literal notranslate"><span class="pre">ExoData</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.get_model_step_exo"><code class="docutils literal notranslate"><span class="pre">ExoData.get_model_step_exo()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.split"><code class="docutils literal notranslate"><span class="pre">ExoData.split()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.get_combine_type_data"><code class="docutils literal notranslate"><span class="pre">ExoData.get_combine_type_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.get_chunk"><code class="docutils literal notranslate"><span class="pre">ExoData.get_chunk()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.clear"><code class="docutils literal notranslate"><span class="pre">ExoData.clear()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.copy"><code class="docutils literal notranslate"><span class="pre">ExoData.copy()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.fromkeys"><code class="docutils literal notranslate"><span class="pre">ExoData.fromkeys()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.get"><code class="docutils literal notranslate"><span class="pre">ExoData.get()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.items"><code class="docutils literal notranslate"><span class="pre">ExoData.items()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.keys"><code class="docutils literal notranslate"><span class="pre">ExoData.keys()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.pop"><code class="docutils literal notranslate"><span class="pre">ExoData.pop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.popitem"><code class="docutils literal notranslate"><span class="pre">ExoData.popitem()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.setdefault"><code class="docutils literal notranslate"><span class="pre">ExoData.setdefault()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.update"><code class="docutils literal notranslate"><span class="pre">ExoData.update()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.values"><code class="docutils literal notranslate"><span class="pre">ExoData.values()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-data-handlers-exo-exodata">
+<h1>sup3r.preprocessing.data_handlers.exo.ExoData<a class="headerlink" href="#sup3r-preprocessing-data-handlers-exo-exodata" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.ExoData">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ExoData</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">steps</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/data_handlers/exo.html#ExoData"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.ExoData" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code></a></p>
+<p>Special dictionary class for multiple exogenous_data steps</p>
+<p>TODO: Can we simplify this by relying more on xr.Dataset meta data instead
+of storing enhancement factors for each step? Seems like we could take the
+highest res data and coarsen based on s/t enhance, also.</p>
+<p>Combine multiple SingleExoDataStep objects</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>steps</strong> (<em>dict</em>) – Dictionary with feature keys each with entries describing whether
+features should be combined at input, a mid network layer, or with
+output. e.g.:</p>
+<blockquote>
+<div><dl>
+<dt>‘topography’: {</dt><dd><dl class="simple">
+<dt>‘steps’: [</dt><dd><p>{‘combine_type’: ‘input’, ‘model’: 0, ‘data’: …},
+{‘combine_type’: ‘layer’, ‘model’: 0, ‘data’: …}]</p>
+</dd>
+</dl>
+<p>}</p>
+</dd>
+</dl>
+</div></blockquote>
+<p>}</p>
+<p>Each array in in ‘data’ key has 3D or 4D shape:
+(spatial_1, spatial_2, 1)
+(spatial_1, spatial_2, n_temporal, 1)</p>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.ExoData.clear" title="sup3r.preprocessing.data_handlers.exo.ExoData.clear"><code class="xref py py-obj docutils literal notranslate"><span class="pre">clear</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.ExoData.copy" title="sup3r.preprocessing.data_handlers.exo.ExoData.copy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">copy</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.ExoData.fromkeys" title="sup3r.preprocessing.data_handlers.exo.ExoData.fromkeys"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fromkeys</span></code></a>([value])</p></td>
+<td><p>Create a new dictionary with keys from iterable and values set to value.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.ExoData.get" title="sup3r.preprocessing.data_handlers.exo.ExoData.get"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get</span></code></a>(key[, default])</p></td>
+<td><p>Return the value for key if key is in the dictionary, else default.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.ExoData.get_chunk" title="sup3r.preprocessing.data_handlers.exo.ExoData.get_chunk"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_chunk</span></code></a>(lr_slices)</p></td>
+<td><p>Get the data for all model steps corresponding to the low res extent selected by <cite>lr_slices</cite></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.ExoData.get_combine_type_data" title="sup3r.preprocessing.data_handlers.exo.ExoData.get_combine_type_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_combine_type_data</span></code></a>(feature, combine_type)</p></td>
+<td><p>Get exogenous data for given feature which is used according to the given combine_type (input/output/layer) for this model_step.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.ExoData.get_model_step_exo" title="sup3r.preprocessing.data_handlers.exo.ExoData.get_model_step_exo"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_model_step_exo</span></code></a>(model_step)</p></td>
+<td><p>Get the exogenous data for the given model_step from the full list of steps</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.ExoData.items" title="sup3r.preprocessing.data_handlers.exo.ExoData.items"><code class="xref py py-obj docutils literal notranslate"><span class="pre">items</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.ExoData.keys" title="sup3r.preprocessing.data_handlers.exo.ExoData.keys"><code class="xref py py-obj docutils literal notranslate"><span class="pre">keys</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.ExoData.pop" title="sup3r.preprocessing.data_handlers.exo.ExoData.pop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pop</span></code></a>(k[,d])</p></td>
+<td><p>If the key is not found, return the default if given; otherwise, raise a KeyError.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.ExoData.popitem" title="sup3r.preprocessing.data_handlers.exo.ExoData.popitem"><code class="xref py py-obj docutils literal notranslate"><span class="pre">popitem</span></code></a>()</p></td>
+<td><p>Remove and return a (key, value) pair as a 2-tuple.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.ExoData.setdefault" title="sup3r.preprocessing.data_handlers.exo.ExoData.setdefault"><code class="xref py py-obj docutils literal notranslate"><span class="pre">setdefault</span></code></a>(key[, default])</p></td>
+<td><p>Insert key with a value of default if key is not in the dictionary.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.ExoData.split" title="sup3r.preprocessing.data_handlers.exo.ExoData.split"><code class="xref py py-obj docutils literal notranslate"><span class="pre">split</span></code></a>(split_steps)</p></td>
+<td><p>Split <code class="docutils literal notranslate"><span class="pre">self</span></code> into multiple <code class="docutils literal notranslate"><span class="pre">ExoData</span></code> objects based on <code class="docutils literal notranslate"><span class="pre">split_steps</span></code>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.ExoData.update" title="sup3r.preprocessing.data_handlers.exo.ExoData.update"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update</span></code></a>([E, ]**F)</p></td>
+<td><p>If E is present and has a .keys() method, then does:  for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does:  for k, v in E: D[k] = v In either case, this is followed by: for k in F:  D[k] = F[k]</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.ExoData.values" title="sup3r.preprocessing.data_handlers.exo.ExoData.values"><code class="xref py py-obj docutils literal notranslate"><span class="pre">values</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.ExoData.get_model_step_exo">
+<span class="sig-name descname"><span class="pre">get_model_step_exo</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_step</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/data_handlers/exo.html#ExoData.get_model_step_exo"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.ExoData.get_model_step_exo" title="Link to this definition">#</a></dt>
+<dd><p>Get the exogenous data for the given model_step from the full list
+of steps</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>model_step</strong> (<em>int</em>) – Index of the model to get exogenous data for.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>model_step_exo</strong> (<em>dict</em>) – Dictionary of features each with list of steps which match the
+given model_step</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.ExoData.split">
+<span class="sig-name descname"><span class="pre">split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">split_steps</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/data_handlers/exo.html#ExoData.split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.ExoData.split" title="Link to this definition">#</a></dt>
+<dd><p>Split <code class="docutils literal notranslate"><span class="pre">self</span></code> into multiple <code class="docutils literal notranslate"><span class="pre">ExoData</span></code> objects based on
+<code class="docutils literal notranslate"><span class="pre">split_steps</span></code>. The splits are done such that the steps in the ith
+entry of the returned list all have a
+<code class="docutils literal notranslate"><span class="pre">model</span> <span class="pre">number</span> <span class="pre">&lt;</span> <span class="pre">split_steps[i].</span></code></p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This is used for multi-step models to correctly distribute the set of
+all exo data steps to the appropriate models. For example,
+<code class="xref py py-class docutils literal notranslate"><span class="pre">MultiStepGan</span></code> models with some
+temporal (spatial) steps followed by some spatial (temporal) steps. The
+temporal (spatial) models might take the first N exo data steps and
+then the spatial (temporal) models will take the remaining exo data
+steps.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>split_steps</strong> (<em>list</em>) – Step index list to use for splitting. To split this into exo data
+for spatial models and temporal models split_steps should be
+<code class="docutils literal notranslate"><span class="pre">[len(spatial_models)]</span></code>. If this is for a
+<code class="xref py py-class docutils literal notranslate"><span class="pre">MultiStepGan</span></code> model with temporal steps
+first, <code class="docutils literal notranslate"><span class="pre">split_steps</span></code> should be <code class="docutils literal notranslate"><span class="pre">[len(temporal_models)]</span></code>. If
+this is for a multi step model composed of more than two models
+(e.g. <code class="xref py py-class docutils literal notranslate"><span class="pre">SolarMultiStepGan</span></code>) <code class="docutils literal notranslate"><span class="pre">split_steps</span></code>
+should be <code class="docutils literal notranslate"><span class="pre">[len(spatial_solar_models),</span> <span class="pre">len(spatial_solar_models)</span> <span class="pre">+</span>
+<span class="pre">len(spatial_wind_models)]</span></code></p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>split_list</strong> (<em>List[ExoData]</em>) – List of <code class="docutils literal notranslate"><span class="pre">ExoData</span></code> objects coming from the split of <code class="docutils literal notranslate"><span class="pre">self</span></code>,
+according to <code class="docutils literal notranslate"><span class="pre">split_steps</span></code></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.ExoData.get_combine_type_data">
+<span class="sig-name descname"><span class="pre">get_combine_type_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">combine_type</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_step</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/data_handlers/exo.html#ExoData.get_combine_type_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.ExoData.get_combine_type_data" title="Link to this definition">#</a></dt>
+<dd><p>Get exogenous data for given feature which is used according to the
+given combine_type (input/output/layer) for this model_step.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>feature</strong> (<em>str</em>) – Name of exogenous feature to get data for</p></li>
+<li><p><strong>combine_type</strong> (<em>str</em>) – Usage type for requested data. e.g input/output/layer</p></li>
+<li><p><strong>model_step</strong> (<em>int | None</em>) – Model step the data will be used for. If this is not None then
+only steps with self[feature][‘steps’][:][‘model’] == model_step
+will be searched for data.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>data</strong> (<em>tf.Tensor | np.ndarray</em>) – Exogenous data for given parameters</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.ExoData.get_chunk">
+<span class="sig-name descname"><span class="pre">get_chunk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lr_slices</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/data_handlers/exo.html#ExoData.get_chunk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.ExoData.get_chunk" title="Link to this definition">#</a></dt>
+<dd><p>Get the data for all model steps corresponding to the low res extent
+selected by <cite>lr_slices</cite></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>lr_slices</strong> (<em>list List of spatiotemporal slices which specify extent of</em>)</p></li>
+<li><p><strong>the low-resolution input data.</strong></p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>exo_data</strong> (<em>ExoData</em>) – <a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.ExoData" title="sup3r.preprocessing.data_handlers.exo.ExoData"><code class="xref py py-class docutils literal notranslate"><span class="pre">ExoData</span></code></a> object composed of multiple
+<a class="reference internal" href="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.html#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep" title="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep"><code class="xref py py-class docutils literal notranslate"><span class="pre">SingleExoDataStep</span></code></a> objects. This is the sliced exo data for
+the extent specified by <cite>lr_slices</cite>.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.ExoData.clear">
+<span class="sig-name descname"><span class="pre">clear</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None.</span>&#160; <span class="pre">Remove</span> <span class="pre">all</span> <span class="pre">items</span> <span class="pre">from</span> <span class="pre">D.</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.ExoData.clear" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.ExoData.copy">
+<span class="sig-name descname"><span class="pre">copy</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">a</span> <span class="pre">shallow</span> <span class="pre">copy</span> <span class="pre">of</span> <span class="pre">D</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.ExoData.copy" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.ExoData.fromkeys">
+<span class="sig-name descname"><span class="pre">fromkeys</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.ExoData.fromkeys" title="Link to this definition">#</a></dt>
+<dd><p>Create a new dictionary with keys from iterable and values set to value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.ExoData.get">
+<span class="sig-name descname"><span class="pre">get</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">key</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.ExoData.get" title="Link to this definition">#</a></dt>
+<dd><p>Return the value for key if key is in the dictionary, else default.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.ExoData.items">
+<span class="sig-name descname"><span class="pre">items</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">a</span> <span class="pre">set-like</span> <span class="pre">object</span> <span class="pre">providing</span> <span class="pre">a</span> <span class="pre">view</span> <span class="pre">on</span> <span class="pre">D's</span> <span class="pre">items</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.ExoData.items" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.ExoData.keys">
+<span class="sig-name descname"><span class="pre">keys</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">a</span> <span class="pre">set-like</span> <span class="pre">object</span> <span class="pre">providing</span> <span class="pre">a</span> <span class="pre">view</span> <span class="pre">on</span> <span class="pre">D's</span> <span class="pre">keys</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.ExoData.keys" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.ExoData.pop">
+<span class="sig-name descname"><span class="pre">pop</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">k</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">d</span></span></em><span class="optional">]</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">v,</span> <span class="pre">remove</span> <span class="pre">specified</span> <span class="pre">key</span> <span class="pre">and</span> <span class="pre">return</span> <span class="pre">the</span> <span class="pre">corresponding</span> <span class="pre">value.</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.ExoData.pop" title="Link to this definition">#</a></dt>
+<dd><p>If the key is not found, return the default if given; otherwise,
+raise a KeyError.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.ExoData.popitem">
+<span class="sig-name descname"><span class="pre">popitem</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.ExoData.popitem" title="Link to this definition">#</a></dt>
+<dd><p>Remove and return a (key, value) pair as a 2-tuple.</p>
+<p>Pairs are returned in LIFO (last-in, first-out) order.
+Raises KeyError if the dict is empty.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.ExoData.setdefault">
+<span class="sig-name descname"><span class="pre">setdefault</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">key</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.ExoData.setdefault" title="Link to this definition">#</a></dt>
+<dd><p>Insert key with a value of default if key is not in the dictionary.</p>
+<p>Return the value for key if key is in the dictionary, else default.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.ExoData.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><span class="optional">[</span><em class="sig-param"><span class="n"><span class="pre">E</span></span></em>, <span class="optional">]</span><em class="sig-param"><span class="n"><span class="pre">**F</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None.</span>&#160; <span class="pre">Update</span> <span class="pre">D</span> <span class="pre">from</span> <span class="pre">dict/iterable</span> <span class="pre">E</span> <span class="pre">and</span> <span class="pre">F.</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.ExoData.update" title="Link to this definition">#</a></dt>
+<dd><p>If E is present and has a .keys() method, then does:  for k in E: D[k] = E[k]
+If E is present and lacks a .keys() method, then does:  for k, v in E: D[k] = v
+In either case, this is followed by: for k in F:  D[k] = F[k]</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.ExoData.values">
+<span class="sig-name descname"><span class="pre">values</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">an</span> <span class="pre">object</span> <span class="pre">providing</span> <span class="pre">a</span> <span class="pre">view</span> <span class="pre">on</span> <span class="pre">D's</span> <span class="pre">values</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.ExoData.values" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData"><code class="docutils literal notranslate"><span class="pre">ExoData</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.get_model_step_exo"><code class="docutils literal notranslate"><span class="pre">ExoData.get_model_step_exo()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.split"><code class="docutils literal notranslate"><span class="pre">ExoData.split()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.get_combine_type_data"><code class="docutils literal notranslate"><span class="pre">ExoData.get_combine_type_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.get_chunk"><code class="docutils literal notranslate"><span class="pre">ExoData.get_chunk()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.clear"><code class="docutils literal notranslate"><span class="pre">ExoData.clear()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.copy"><code class="docutils literal notranslate"><span class="pre">ExoData.copy()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.fromkeys"><code class="docutils literal notranslate"><span class="pre">ExoData.fromkeys()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.get"><code class="docutils literal notranslate"><span class="pre">ExoData.get()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.items"><code class="docutils literal notranslate"><span class="pre">ExoData.items()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.keys"><code class="docutils literal notranslate"><span class="pre">ExoData.keys()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.pop"><code class="docutils literal notranslate"><span class="pre">ExoData.pop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.popitem"><code class="docutils literal notranslate"><span class="pre">ExoData.popitem()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.setdefault"><code class="docutils literal notranslate"><span class="pre">ExoData.setdefault()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.update"><code class="docutils literal notranslate"><span class="pre">ExoData.update()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoData.values"><code class="docutils literal notranslate"><span class="pre">ExoData.values()</span></code></a></li>
+</ul>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoDataHandler"><code class="docutils literal notranslate"><span class="pre">ExoDataHandler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_exo_steps"><code class="docutils literal notranslate"><span class="pre">ExoDataHandler.get_exo_steps()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_exo_rasterizer"><code class="docutils literal notranslate"><span class="pre">ExoDataHandler.get_exo_rasterizer()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_single_step_data"><code class="docutils literal notranslate"><span class="pre">ExoDataHandler.get_single_step_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoDataHandler.cache_files"><code class="docutils literal notranslate"><span class="pre">ExoDataHandler.cache_files</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_all_step_data"><code class="docutils literal notranslate"><span class="pre">ExoDataHandler.get_all_step_data()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-data-handlers-exo-exodatahandler">
+<h1>sup3r.preprocessing.data_handlers.exo.ExoDataHandler<a class="headerlink" href="#sup3r-preprocessing-data-handlers-exo-exodatahandler" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.ExoDataHandler">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ExoDataHandler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.13)"><span class="pre">list</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/pathlib.html#pathlib.Path" title="(in Python v3.13)"><span class="pre">Path</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan" title="sup3r.models.base.Sup3rGan"><span class="pre">Sup3rGan</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference internal" href="sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan" title="sup3r.models.multi_step.MultiStepGan"><span class="pre">MultiStepGan</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.13)"><span class="pre">list</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_handler_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_handler_kwargs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache_dir</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'./exo_cache'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_upper_bound</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/data_handlers/exo.html#ExoDataHandler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.ExoDataHandler" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<p>Class to rasterize exogenous features for multistep forward passes. e.g.
+Multiple topography arrays at different resolutions for multiple spatial
+enhancement steps.</p>
+<p>This takes a list of models and uses the different sets of models features
+to retrieve and rasterize exogenous data according to the requested target
+coordinate and grid shape, for each model step.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>file_paths</strong> (<em>str | list</em>) – A single source h5 file or netcdf file to extract raster data from. The
+string can be a unix-style file path which will be passed through
+glob.glob. This is typically low-res WRF output or GCM netcdf data that
+is source low-resolution data intended to be sup3r resolved.</p></li>
+<li><p><strong>feature</strong> (<em>str</em>) – Exogenous feature to extract from file_paths</p></li>
+<li><p><strong>model</strong> (<em>Sup3rGan | MultiStepGan</em>) – Model used to get exogenous data. If a <code class="docutils literal notranslate"><span class="pre">MultiStepGan</span></code>
+<code class="docutils literal notranslate"><span class="pre">lr_features</span></code>, <code class="docutils literal notranslate"><span class="pre">hr_exo_features</span></code>, and <code class="docutils literal notranslate"><span class="pre">hr_out_features</span></code> will be
+checked for each model in <code class="docutils literal notranslate"><span class="pre">model.models</span></code> and exogenous data will be
+retrieved based on the resolution required for that type of feature.
+e.g. If a model has topography as a lr and hr_exo feature, and the
+model performs 5x spatial enhancement with an input resolution of 30km
+then topography at 30km and at 6km will be retrieved. Either this or
+list of steps needs to be provided.</p></li>
+<li><p><strong>steps</strong> (<em>list</em>) – List of dictionaries containing info on which models to use for a given
+step index and what type of exo data the step requires. e.g.::
+[{‘model’: 0, ‘combine_type’: ‘input’},</p>
+<blockquote>
+<div><p>{‘model’: 0, ‘combine_type’: ‘layer’}]</p>
+</div></blockquote>
+<p>Each step entry can also contain enhancement factors. e.g.::
+[{‘model’: 0, ‘combine_type’: ‘input’, ‘s_enhance’: 1, ‘t_enhance’: 1},</p>
+<blockquote>
+<div><p>{‘model’: 0, ‘combine_type’: ‘layer’, ‘s_enhance’: 3, ‘t_enhance’: 1}]</p>
+</div></blockquote>
+</li>
+<li><p><strong>source_file</strong> (<em>str</em>) – Filepath to source wtk, nsrdb, or netcdf file to get hi-res data from
+which will be mapped to the enhanced grid of the file_paths input.
+Pixels from this file will be mapped to their nearest low-res pixel in
+the file_paths input. Accordingly, the input should be a significantly
+higher resolution than file_paths. Warnings will be raised if the
+low-resolution pixels in file_paths do not have unique nearest pixels
+from this exo source data.</p></li>
+<li><p><strong>input_handler_name</strong> (<em>str</em>) – data handler class used by the exo handler. Provide a string name to
+match a <code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code>. If None
+the correct handler will be guessed based on file type and time series
+properties. This is passed directly to the exo handler, along with
+input_handler_kwargs</p></li>
+<li><p><strong>input_handler_kwargs</strong> (<em>dict | None</em>) – Any kwargs for initializing the <code class="docutils literal notranslate"><span class="pre">input_handler_name</span></code> class used by
+the exo handler.</p></li>
+<li><p><strong>cache_dir</strong> (<em>str | None</em>) – Directory for storing cache data. Default is ‘./exo_cache’. If None
+then no data will be cached.</p></li>
+<li><p><strong>chunks</strong> (<em>str | dict</em>) – Dictionary of dimension chunk sizes for returned exo data. e.g.
+{‘time’: 100, ‘south_north’: 100, ‘west_east’: 100}. This can also just
+be “auto”. This is passed to <code class="docutils literal notranslate"><span class="pre">.chunk()</span></code> before returning exo data
+through <code class="docutils literal notranslate"><span class="pre">.data</span></code> attribute</p></li>
+<li><p><strong>distance_upper_bound</strong> (<em>float | None</em>) – Maximum distance to map high-resolution data from source_file to the
+low-resolution file_paths input. None (default) will calculate this
+based on the median distance between points in source_file</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_all_step_data" title="sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_all_step_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_all_step_data</span></code></a>()</p></td>
+<td><p>Get exo data for each model step.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_exo_rasterizer" title="sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_exo_rasterizer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_exo_rasterizer</span></code></a>(s_enhance, t_enhance)</p></td>
+<td><p>Get exo rasterizer instance for given enhancement factors</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_exo_steps" title="sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_exo_steps"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_exo_steps</span></code></a>(feature, models)</p></td>
+<td><p>Get list of steps describing how to use exogenous data for the given feature in the list of given models.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_single_step_data" title="sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_single_step_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_single_step_data</span></code></a>(s_enhance, t_enhance)</p></td>
+<td><p>Get exo data for a single model step, with specific enhancement factors.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">cache_dir</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.ExoDataHandler.cache_files" title="sup3r.preprocessing.data_handlers.exo.ExoDataHandler.cache_files"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cache_files</span></code></a></p></td>
+<td><p>Get exo data cache file for all enhancement factors</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">chunks</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">distance_upper_bound</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_handler_kwargs</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_handler_name</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">model</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">source_file</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">steps</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">file_paths</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">feature</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_exo_steps">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_exo_steps</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">models</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/data_handlers/exo.html#ExoDataHandler.get_exo_steps"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_exo_steps" title="Link to this definition">#</a></dt>
+<dd><p>Get list of steps describing how to use exogenous data for the given
+feature in the list of given models. This checks the input and
+exo feature lists for each model step and adds that step if the
+given feature is found in the list.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_exo_rasterizer">
+<span class="sig-name descname"><span class="pre">get_exo_rasterizer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/data_handlers/exo.html#ExoDataHandler.get_exo_rasterizer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_exo_rasterizer" title="Link to this definition">#</a></dt>
+<dd><p>Get exo rasterizer instance for given enhancement factors</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_single_step_data">
+<span class="sig-name descname"><span class="pre">get_single_step_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/data_handlers/exo.html#ExoDataHandler.get_single_step_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_single_step_data" title="Link to this definition">#</a></dt>
+<dd><p>Get exo data for a single model step, with specific enhancement
+factors.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.ExoDataHandler.cache_files">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">cache_files</span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.ExoDataHandler.cache_files" title="Link to this definition">#</a></dt>
+<dd><p>Get exo data cache file for all enhancement factors</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_all_step_data">
+<span class="sig-name descname"><span class="pre">get_all_step_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/data_handlers/exo.html#ExoDataHandler.get_all_step_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_all_step_data" title="Link to this definition">#</a></dt>
+<dd><p>Get exo data for each model step.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
+                  
+<div class="prev-next-area">
+    <a class="left-prev"
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+        <p class="prev-next-subtitle">previous</p>
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+    <h1>sup3r.preprocessing.data_handlers.exo.SingleExoDataStep</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.shape"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.clear"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep.clear()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.copy"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep.copy()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.fromkeys"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep.fromkeys()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.get"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep.get()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.items"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep.items()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.keys"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep.keys()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.pop"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep.pop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.popitem"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep.popitem()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.setdefault"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep.setdefault()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.update"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep.update()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.values"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep.values()</span></code></a></li>
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+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-data-handlers-exo-singleexodatastep">
+<h1>sup3r.preprocessing.data_handlers.exo.SingleExoDataStep<a class="headerlink" href="#sup3r-preprocessing-data-handlers-exo-singleexodatastep" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">SingleExoDataStep</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">combine_type</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/data_handlers/exo.html#SingleExoDataStep"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">dict</span></code></a></p>
+<p>Special dictionary class for exogenous_data step</p>
+<p>exogenous_data step dictionary for a given model step</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>feature</strong> (<em>str</em>) – Name of feature corresponding to <code class="docutils literal notranslate"><span class="pre">data</span></code>.</p></li>
+<li><p><strong>combine_type</strong> (<em>str</em>) – Specifies how the exogenous_data should be used for this step. e.g.
+“input”, “layer”, “output”. For example, if tis equals “input” the
+<code class="docutils literal notranslate"><span class="pre">data</span></code> will be used as input to the forward pass for the model
+step given by <code class="docutils literal notranslate"><span class="pre">model</span></code></p></li>
+<li><p><strong>model</strong> (<em>int</em>) – Specifies the model index which will use the <code class="docutils literal notranslate"><span class="pre">data</span></code>. For example,
+if <code class="docutils literal notranslate"><span class="pre">model</span></code> == 1 then the <code class="docutils literal notranslate"><span class="pre">data</span></code> will be used according to
+<code class="docutils literal notranslate"><span class="pre">combine_type</span></code> in the 2nd model step in a MultiStepGan.</p></li>
+<li><p><strong>data</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – The data to be used for the given model step.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.clear" title="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.clear"><code class="xref py py-obj docutils literal notranslate"><span class="pre">clear</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.copy" title="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.copy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">copy</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.fromkeys" title="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.fromkeys"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fromkeys</span></code></a>([value])</p></td>
+<td><p>Create a new dictionary with keys from iterable and values set to value.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.get" title="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.get"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get</span></code></a>(key[, default])</p></td>
+<td><p>Return the value for key if key is in the dictionary, else default.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.items" title="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.items"><code class="xref py py-obj docutils literal notranslate"><span class="pre">items</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.keys" title="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.keys"><code class="xref py py-obj docutils literal notranslate"><span class="pre">keys</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.pop" title="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.pop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pop</span></code></a>(k[,d])</p></td>
+<td><p>If the key is not found, return the default if given; otherwise, raise a KeyError.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.popitem" title="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.popitem"><code class="xref py py-obj docutils literal notranslate"><span class="pre">popitem</span></code></a>()</p></td>
+<td><p>Remove and return a (key, value) pair as a 2-tuple.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.setdefault" title="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.setdefault"><code class="xref py py-obj docutils literal notranslate"><span class="pre">setdefault</span></code></a>(key[, default])</p></td>
+<td><p>Insert key with a value of default if key is not in the dictionary.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.update" title="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.update"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update</span></code></a>([E, ]**F)</p></td>
+<td><p>If E is present and has a .keys() method, then does:  for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does:  for k, v in E: D[k] = v In either case, this is followed by: for k in F:  D[k] = F[k]</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.values" title="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.values"><code class="xref py py-obj docutils literal notranslate"><span class="pre">values</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.shape" title="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Shape of data array for this model step.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of data array for this model step.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.clear">
+<span class="sig-name descname"><span class="pre">clear</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None.</span>&#160; <span class="pre">Remove</span> <span class="pre">all</span> <span class="pre">items</span> <span class="pre">from</span> <span class="pre">D.</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.clear" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.copy">
+<span class="sig-name descname"><span class="pre">copy</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">a</span> <span class="pre">shallow</span> <span class="pre">copy</span> <span class="pre">of</span> <span class="pre">D</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.copy" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.fromkeys">
+<span class="sig-name descname"><span class="pre">fromkeys</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.fromkeys" title="Link to this definition">#</a></dt>
+<dd><p>Create a new dictionary with keys from iterable and values set to value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.get">
+<span class="sig-name descname"><span class="pre">get</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">key</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.get" title="Link to this definition">#</a></dt>
+<dd><p>Return the value for key if key is in the dictionary, else default.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.items">
+<span class="sig-name descname"><span class="pre">items</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">a</span> <span class="pre">set-like</span> <span class="pre">object</span> <span class="pre">providing</span> <span class="pre">a</span> <span class="pre">view</span> <span class="pre">on</span> <span class="pre">D's</span> <span class="pre">items</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.items" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.keys">
+<span class="sig-name descname"><span class="pre">keys</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">a</span> <span class="pre">set-like</span> <span class="pre">object</span> <span class="pre">providing</span> <span class="pre">a</span> <span class="pre">view</span> <span class="pre">on</span> <span class="pre">D's</span> <span class="pre">keys</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.keys" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.pop">
+<span class="sig-name descname"><span class="pre">pop</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">k</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">d</span></span></em><span class="optional">]</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">v,</span> <span class="pre">remove</span> <span class="pre">specified</span> <span class="pre">key</span> <span class="pre">and</span> <span class="pre">return</span> <span class="pre">the</span> <span class="pre">corresponding</span> <span class="pre">value.</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.pop" title="Link to this definition">#</a></dt>
+<dd><p>If the key is not found, return the default if given; otherwise,
+raise a KeyError.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.popitem">
+<span class="sig-name descname"><span class="pre">popitem</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.popitem" title="Link to this definition">#</a></dt>
+<dd><p>Remove and return a (key, value) pair as a 2-tuple.</p>
+<p>Pairs are returned in LIFO (last-in, first-out) order.
+Raises KeyError if the dict is empty.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.setdefault">
+<span class="sig-name descname"><span class="pre">setdefault</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">key</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.setdefault" title="Link to this definition">#</a></dt>
+<dd><p>Insert key with a value of default if key is not in the dictionary.</p>
+<p>Return the value for key if key is in the dictionary, else default.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><span class="optional">[</span><em class="sig-param"><span class="n"><span class="pre">E</span></span></em>, <span class="optional">]</span><em class="sig-param"><span class="n"><span class="pre">**F</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None.</span>&#160; <span class="pre">Update</span> <span class="pre">D</span> <span class="pre">from</span> <span class="pre">dict/iterable</span> <span class="pre">E</span> <span class="pre">and</span> <span class="pre">F.</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.update" title="Link to this definition">#</a></dt>
+<dd><p>If E is present and has a .keys() method, then does:  for k in E: D[k] = E[k]
+If E is present and lacks a .keys() method, then does:  for k, v in E: D[k] = v
+In either case, this is followed by: for k in F:  D[k] = F[k]</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.values">
+<span class="sig-name descname"><span class="pre">values</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">an</span> <span class="pre">object</span> <span class="pre">providing</span> <span class="pre">a</span> <span class="pre">view</span> <span class="pre">on</span> <span class="pre">D's</span> <span class="pre">values</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.values" title="Link to this definition">#</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.shape"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.clear"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep.clear()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.copy"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep.copy()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.fromkeys"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep.fromkeys()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.get"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep.get()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.items"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep.items()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.keys"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep.keys()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.pop"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep.pop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.popitem"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep.popitem()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.setdefault"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep.setdefault()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.update"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep.update()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.values"><code class="docutils literal notranslate"><span class="pre">SingleExoDataStep.values()</span></code></a></li>
+</ul>
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+</ul>
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+  <section id="module-sup3r.preprocessing.data_handlers.exo">
+<span id="sup3r-preprocessing-data-handlers-exo"></span><h1>sup3r.preprocessing.data_handlers.exo<a class="headerlink" href="#module-sup3r.preprocessing.data_handlers.exo" title="Link to this heading">#</a></h1>
+<p>Exogenous data handler and related objects. The ExoDataHandler performs
+exogenous data rasterization for one or more model steps for requested
+features.</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.data_handlers.exo.ExoData.html#sup3r.preprocessing.data_handlers.exo.ExoData" title="sup3r.preprocessing.data_handlers.exo.ExoData"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ExoData</span></code></a>(steps)</p></td>
+<td><p>Special dictionary class for multiple exogenous_data steps</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.data_handlers.exo.ExoDataHandler.html#sup3r.preprocessing.data_handlers.exo.ExoDataHandler" title="sup3r.preprocessing.data_handlers.exo.ExoDataHandler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ExoDataHandler</span></code></a>(file_paths, feature[, model, ...])</p></td>
+<td><p>Class to rasterize exogenous features for multistep forward passes.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.html#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep" title="sup3r.preprocessing.data_handlers.exo.SingleExoDataStep"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SingleExoDataStep</span></code></a>(feature, combine_type, ...)</p></td>
+<td><p>Special dictionary class for exogenous_data step</p></td>
+</tr>
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+    <h1>sup3r.preprocessing.data_handlers.factory.DailyDataHandler</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.check_registry"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.check_registry()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.data"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.derive"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.derive()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.do_level_interpolation"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.do_level_interpolation()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.get_inputs"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.get_inputs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.get_multi_level_data"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.get_multi_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.get_single_level_data"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.get_single_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.has_interp_variables"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.has_interp_variables()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.map_new_name"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.map_new_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.no_overlap"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.no_overlap()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.post_init_log"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.shape"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.wrap"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-data-handlers-factory-dailydatahandler">
+<h1>sup3r.preprocessing.data_handlers.factory.DailyDataHandler<a class="headerlink" href="#sup3r-preprocessing-data-handlers-factory-dailydatahandler" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DailyDataHandler">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">DailyDataHandler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">res_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_slice</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">slice(None,</span> <span class="pre">None,</span> <span class="pre">None)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_roll</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_shift</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hr_spatial_coarsen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nan_method_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">BaseLoader</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">FeatureRegistry</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interp_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/data_handlers/factory.html#DailyDataHandler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.data_handlers.factory.DataHandler.html#sup3r.preprocessing.data_handlers.factory.DataHandler" title="sup3r.preprocessing.data_handlers.factory.DataHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataHandler</span></code></a></p>
+<p>General data handler class with daily data as an additional attribute.
+xr.Dataset coarsen method employed to compute averages / mins / maxes over
+daily windows. Special treatment of clearsky_ratio, which requires
+derivation from total clearsky_ghi and total ghi.</p>
+<p>TODO:
+(1) Not a fan of manually adding cs_ghi / ghi and then removing. Maybe
+this could be handled through a derivation instead</p>
+<p>(2) We assume daily and hourly data here but we could generalize this to
+go from daily -&gt; any time step. This would then enable the CC models to do
+arbitrary temporal enhancement.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_paths</strong> (<em>str | list | pathlib.Path</em>) – file_paths input to LoaderClass</p></li>
+<li><p><strong>features</strong> (<em>list | str</em>) – Features to load and / or derive. If ‘all’ then all available raw
+features will be loaded. Specify explicit feature names for
+derivations.</p></li>
+<li><p><strong>res_kwargs</strong> (<em>dict</em>) – Additional keyword arguments passed through to the <code class="docutils literal notranslate"><span class="pre">BaseLoader</span></code>.
+BaseLoader is usually xr.open_mfdataset for NETCDF files and
+MultiFileResourceX for H5 files.</p></li>
+<li><p><strong>chunks</strong> (<em>dict | str</em>) – Dictionary of chunk sizes to pass through to
+<code class="docutils literal notranslate"><span class="pre">dask.array.from_array()</span></code> or <code class="docutils literal notranslate"><span class="pre">xr.Dataset().chunk()</span></code>. Will be
+converted to a tuple when used in <code class="docutils literal notranslate"><span class="pre">from_array()</span></code>. These are the
+methods for H5 and NETCDF data, respectively. This argument can
+be “auto” or None in addition to a dictionary. None will not do
+any chunking and load data into memory as <code class="docutils literal notranslate"><span class="pre">np.array</span></code></p></li>
+<li><p><strong>target</strong> (<em>tuple</em>) – (lat, lon) lower left corner of raster. Either need target+shape
+or raster_file.</p></li>
+<li><p><strong>shape</strong> (<em>tuple</em>) – (rows, cols) grid size. Either need target+shape or raster_file.</p></li>
+<li><p><strong>time_slice</strong> (<em>slice | list</em>) – Slice specifying extent and step of temporal extraction. e.g.
+slice(start, stop, step). If equal to slice(None, None, 1) the full
+time dimension is selected. Can be also be a list <code class="docutils literal notranslate"><span class="pre">[start,</span> <span class="pre">stop,</span>
+<span class="pre">step]</span></code></p></li>
+<li><p><strong>threshold</strong> (<em>float</em>) – Nearest neighbor euclidean distance threshold. If the coordinates
+are more than this value away from the target lat/lon, an error is
+raised.</p></li>
+<li><p><strong>time_roll</strong> (<em>int</em>) – Number of steps to roll along the time axis. <cite>Passed to
+xr.Dataset.roll()</cite></p></li>
+<li><p><strong>time_shift</strong> (<em>int | None</em>) – Number of minutes to shift time axis. This can be used, for
+example, to shift the time index for daily data so that the time
+stamp for a given day starts at the zeroth minute instead of at
+noon, as is the case for most GCM data.</p></li>
+<li><p><strong>hr_spatial_coarsen</strong> (<em>int</em>) – Spatial coarsening factor. Passed to <cite>xr.Dataset.coarsen()</cite></p></li>
+<li><p><strong>nan_method_kwargs</strong> (<em>str | dict | None</em>) – Keyword arguments for nan handling. If ‘mask’, time steps with nans
+will be dropped. Otherwise this should be a dict of kwargs which
+will be passed to
+<a class="reference internal" href="sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.interpolate_na" title="sup3r.preprocessing.accessor.Sup3rX.interpolate_na"><code class="xref py py-meth docutils literal notranslate"><span class="pre">sup3r.preprocessing.accessor.Sup3rX.interpolate_na()</span></code></a>.</p></li>
+<li><p><strong>BaseLoader</strong> (<em>Callable</em>) – Base level file loader wrapped by
+<a class="reference internal" href="sup3r.preprocessing.loaders.Loader.html#sup3r.preprocessing.loaders.Loader" title="sup3r.preprocessing.loaders.Loader"><code class="xref py py-class docutils literal notranslate"><span class="pre">Loader</span></code></a>. This is usually
+xr.open_mfdataset for NETCDF files and MultiFileResourceX for H5
+files.</p></li>
+<li><p><strong>FeatureRegistry</strong> (<em>dict</em>) – Dictionary of
+<a class="reference internal" href="sup3r.preprocessing.derivers.methods.DerivedFeature.html#sup3r.preprocessing.derivers.methods.DerivedFeature" title="sup3r.preprocessing.derivers.methods.DerivedFeature"><code class="xref py py-class docutils literal notranslate"><span class="pre">DerivedFeature</span></code></a>
+objects used for derivations</p></li>
+<li><p><strong>interp_kwargs</strong> (<em>dict | None</em>) – Dictionary of kwargs for level interpolation. Can include “method”
+and “run_level_check” keys. Method specifies how to perform height
+interpolation. e.g. Deriving u_20m from u_10m and u_100m. Options
+are “linear” and “log”. See
+<code class="xref py py-meth docutils literal notranslate"><span class="pre">sup3r.preprocessing.derivers.Deriver.do_level_interpolation()</span></code></p></li>
+<li><p><strong>cache_kwargs</strong> (<em>dict | None</em>) – Dictionary with kwargs for caching wrangled data. This should at
+minimum include a <cite>cache_pattern</cite> key, value. This pattern must
+have a {feature} format key and either a h5 or nc file extension,
+based on desired output type. See class:<cite>Cacher</cite> for description
+of more arguments.</p></li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Dictionary of additional keyword args for
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code>, used
+specifically for rasterizing flattened data</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.check_registry" title="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.check_registry"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_registry</span></code></a>(feature)</p></td>
+<td><p>Get compute method from the registry if available.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.derive" title="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.derive"><code class="xref py py-obj docutils literal notranslate"><span class="pre">derive</span></code></a>(feature)</p></td>
+<td><p>Routine to derive requested features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.do_level_interpolation" title="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.do_level_interpolation"><code class="xref py py-obj docutils literal notranslate"><span class="pre">do_level_interpolation</span></code></a>(feature[, interp_kwargs])</p></td>
+<td><p>Interpolate over height or pressure to derive the given feature.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.get_inputs" title="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.get_inputs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_inputs</span></code></a>(feature)</p></td>
+<td><p>Get inputs for the given feature and inputs for those inputs.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.get_multi_level_data" title="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.get_multi_level_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_multi_level_data</span></code></a>(feature)</p></td>
+<td><p>Get data stored in multi-level arrays, like u stored on pressure levels.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.get_single_level_data" title="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.get_single_level_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_single_level_data</span></code></a>(feature)</p></td>
+<td><p>When doing level interpolation we should include the single level data available.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.has_interp_variables" title="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.has_interp_variables"><code class="xref py py-obj docutils literal notranslate"><span class="pre">has_interp_variables</span></code></a>(feature)</p></td>
+<td><p>Check if the given feature can be interpolated from values at nearby heights or from pressure level data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.map_new_name" title="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.map_new_name"><code class="xref py py-obj docutils literal notranslate"><span class="pre">map_new_name</span></code></a>(feature, pattern)</p></td>
+<td><p>If the search for a derivation method first finds an alternative name for the feature we want to derive, by matching a wildcard pattern, we need to replace the wildcard with the specific height or pressure we want and continue the search for a derivation method with this new name.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.no_overlap" title="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.no_overlap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">no_overlap</span></code></a>(feature)</p></td>
+<td><p>Check if any of the nested inputs for 'feature' contain 'feature'</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.post_init_log" title="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.wrap" title="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">FEATURE_REGISTRY</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.data" title="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.shape" title="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.check_registry">
+<span class="sig-name descname"><span class="pre">check_registry</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.check_registry" title="Link to this definition">#</a></dt>
+<dd><p>Get compute method from the registry if available. Will check for
+pattern feature match in feature registry. e.g. if u_100m matches a
+feature registry entry of u_(.*)m</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.wrap" title="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.derive">
+<span class="sig-name descname"><span class="pre">derive</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.derive" title="Link to this definition">#</a></dt>
+<dd><p>Routine to derive requested features. Employs a little recursion to
+locate differently named features with a name map in the feature
+registry. i.e. if  <cite>FEATURE_REGISTRY</cite> contains a key, value pair like
+“windspeed”: “wind_speed” then requesting “windspeed” will ultimately
+return a compute method (or fetch from raw data) for “wind_speed</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Features are all saved as lower case names and __contains__ checks will
+use feature.lower()</p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.do_level_interpolation">
+<span class="sig-name descname"><span class="pre">do_level_interpolation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interp_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">DataArray</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.do_level_interpolation" title="Link to this definition">#</a></dt>
+<dd><p>Interpolate over height or pressure to derive the given feature.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.get_inputs">
+<span class="sig-name descname"><span class="pre">get_inputs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.get_inputs" title="Link to this definition">#</a></dt>
+<dd><p>Get inputs for the given feature and inputs for those inputs.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.get_multi_level_data">
+<span class="sig-name descname"><span class="pre">get_multi_level_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.get_multi_level_data" title="Link to this definition">#</a></dt>
+<dd><p>Get data stored in multi-level arrays, like u stored on pressure
+levels.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.get_single_level_data">
+<span class="sig-name descname"><span class="pre">get_single_level_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.get_single_level_data" title="Link to this definition">#</a></dt>
+<dd><p>When doing level interpolation we should include the single level
+data available. e.g. If we have u_100m already and want to interpolate
+u_40m from multi-level data U we should add u_100m at height 100m
+before doing interpolation, since 100 could be a closer level to 40m
+than those available in U.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.has_interp_variables">
+<span class="sig-name descname"><span class="pre">has_interp_variables</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.has_interp_variables" title="Link to this definition">#</a></dt>
+<dd><p>Check if the given feature can be interpolated from values at nearby
+heights or from pressure level data. e.g. If <code class="docutils literal notranslate"><span class="pre">u_10m</span></code> and <code class="docutils literal notranslate"><span class="pre">u_50m</span></code>
+exist then <code class="docutils literal notranslate"><span class="pre">u_30m</span></code> can be interpolated from these. If a pressure
+level array <code class="docutils literal notranslate"><span class="pre">u</span></code> is available this can also be used, in conjunction
+with height data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.map_new_name">
+<span class="sig-name descname"><span class="pre">map_new_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pattern</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.map_new_name" title="Link to this definition">#</a></dt>
+<dd><p>If the search for a derivation method first finds an alternative
+name for the feature we want to derive, by matching a wildcard pattern,
+we need to replace the wildcard with the specific height or pressure we
+want and continue the search for a derivation method with this new
+name.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.no_overlap">
+<span class="sig-name descname"><span class="pre">no_overlap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.no_overlap" title="Link to this definition">#</a></dt>
+<dd><p>Check if any of the nested inputs for ‘feature’ contain ‘feature’</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.check_registry"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.check_registry()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.data"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.derive"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.derive()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.do_level_interpolation"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.do_level_interpolation()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.get_inputs"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.get_inputs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.get_multi_level_data"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.get_multi_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.get_single_level_data"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.get_single_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.has_interp_variables"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.has_interp_variables()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.map_new_name"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.map_new_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.no_overlap"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.no_overlap()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.post_init_log"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.shape"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.wrap"><code class="docutils literal notranslate"><span class="pre">DailyDataHandler.wrap()</span></code></a></li>
+</ul>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler"><code class="docutils literal notranslate"><span class="pre">DataHandler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.data"><code class="docutils literal notranslate"><span class="pre">DataHandler.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.check_registry"><code class="docutils literal notranslate"><span class="pre">DataHandler.check_registry()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.derive"><code class="docutils literal notranslate"><span class="pre">DataHandler.derive()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.do_level_interpolation"><code class="docutils literal notranslate"><span class="pre">DataHandler.do_level_interpolation()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.get_inputs"><code class="docutils literal notranslate"><span class="pre">DataHandler.get_inputs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.get_multi_level_data"><code class="docutils literal notranslate"><span class="pre">DataHandler.get_multi_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.get_single_level_data"><code class="docutils literal notranslate"><span class="pre">DataHandler.get_single_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.has_interp_variables"><code class="docutils literal notranslate"><span class="pre">DataHandler.has_interp_variables()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.map_new_name"><code class="docutils literal notranslate"><span class="pre">DataHandler.map_new_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.no_overlap"><code class="docutils literal notranslate"><span class="pre">DataHandler.no_overlap()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.post_init_log"><code class="docutils literal notranslate"><span class="pre">DataHandler.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.shape"><code class="docutils literal notranslate"><span class="pre">DataHandler.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.wrap"><code class="docutils literal notranslate"><span class="pre">DataHandler.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-data-handlers-factory-datahandler">
+<h1>sup3r.preprocessing.data_handlers.factory.DataHandler<a class="headerlink" href="#sup3r-preprocessing-data-handlers-factory-datahandler" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandler">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">DataHandler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">res_kwargs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Dict" title="(in Python v3.13)"><span class="pre">Dict</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><span class="pre">tuple</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><span class="pre">tuple</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_slice</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#slice" title="(in Python v3.13)"><span class="pre">slice</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><span class="pre">tuple</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.13)"><span class="pre">list</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">slice(None,</span> <span class="pre">None,</span> <span class="pre">None)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_roll</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_shift</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hr_spatial_coarsen</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nan_method_kwargs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">BaseLoader</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Callable" title="(in Python v3.13)"><span class="pre">Callable</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">FeatureRegistry</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interp_kwargs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache_kwargs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/data_handlers/factory.html#DataHandler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandler" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.derivers.base.Deriver.html#sup3r.preprocessing.derivers.base.Deriver" title="sup3r.preprocessing.derivers.base.Deriver"><code class="xref py py-class docutils literal notranslate"><span class="pre">Deriver</span></code></a></p>
+<p>Base DataHandler. Composes
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code>,
+<a class="reference internal" href="sup3r.preprocessing.loaders.Loader.html#sup3r.preprocessing.loaders.Loader" title="sup3r.preprocessing.loaders.Loader"><code class="xref py py-class docutils literal notranslate"><span class="pre">Loader</span></code></a>,
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Deriver</span></code>, and
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Cacher</span></code> classes.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_paths</strong> (<em>str | list | pathlib.Path</em>) – file_paths input to LoaderClass</p></li>
+<li><p><strong>features</strong> (<em>list | str</em>) – Features to load and / or derive. If ‘all’ then all available raw
+features will be loaded. Specify explicit feature names for
+derivations.</p></li>
+<li><p><strong>res_kwargs</strong> (<em>dict</em>) – Additional keyword arguments passed through to the <code class="docutils literal notranslate"><span class="pre">BaseLoader</span></code>.
+BaseLoader is usually xr.open_mfdataset for NETCDF files and
+MultiFileResourceX for H5 files.</p></li>
+<li><p><strong>chunks</strong> (<em>dict | str</em>) – Dictionary of chunk sizes to pass through to
+<code class="docutils literal notranslate"><span class="pre">dask.array.from_array()</span></code> or <code class="docutils literal notranslate"><span class="pre">xr.Dataset().chunk()</span></code>. Will be
+converted to a tuple when used in <code class="docutils literal notranslate"><span class="pre">from_array()</span></code>. These are the
+methods for H5 and NETCDF data, respectively. This argument can
+be “auto” or None in addition to a dictionary. None will not do
+any chunking and load data into memory as <code class="docutils literal notranslate"><span class="pre">np.array</span></code></p></li>
+<li><p><strong>target</strong> (<em>tuple</em>) – (lat, lon) lower left corner of raster. Either need target+shape
+or raster_file.</p></li>
+<li><p><strong>shape</strong> (<em>tuple</em>) – (rows, cols) grid size. Either need target+shape or raster_file.</p></li>
+<li><p><strong>time_slice</strong> (<em>slice | list</em>) – Slice specifying extent and step of temporal extraction. e.g.
+slice(start, stop, step). If equal to slice(None, None, 1) the full
+time dimension is selected. Can be also be a list <code class="docutils literal notranslate"><span class="pre">[start,</span> <span class="pre">stop,</span>
+<span class="pre">step]</span></code></p></li>
+<li><p><strong>threshold</strong> (<em>float</em>) – Nearest neighbor euclidean distance threshold. If the coordinates
+are more than this value away from the target lat/lon, an error is
+raised.</p></li>
+<li><p><strong>time_roll</strong> (<em>int</em>) – Number of steps to roll along the time axis. <cite>Passed to
+xr.Dataset.roll()</cite></p></li>
+<li><p><strong>time_shift</strong> (<em>int | None</em>) – Number of minutes to shift time axis. This can be used, for
+example, to shift the time index for daily data so that the time
+stamp for a given day starts at the zeroth minute instead of at
+noon, as is the case for most GCM data.</p></li>
+<li><p><strong>hr_spatial_coarsen</strong> (<em>int</em>) – Spatial coarsening factor. Passed to <cite>xr.Dataset.coarsen()</cite></p></li>
+<li><p><strong>nan_method_kwargs</strong> (<em>str | dict | None</em>) – Keyword arguments for nan handling. If ‘mask’, time steps with nans
+will be dropped. Otherwise this should be a dict of kwargs which
+will be passed to
+<a class="reference internal" href="sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.interpolate_na" title="sup3r.preprocessing.accessor.Sup3rX.interpolate_na"><code class="xref py py-meth docutils literal notranslate"><span class="pre">sup3r.preprocessing.accessor.Sup3rX.interpolate_na()</span></code></a>.</p></li>
+<li><p><strong>BaseLoader</strong> (<em>Callable</em>) – Base level file loader wrapped by
+<a class="reference internal" href="sup3r.preprocessing.loaders.Loader.html#sup3r.preprocessing.loaders.Loader" title="sup3r.preprocessing.loaders.Loader"><code class="xref py py-class docutils literal notranslate"><span class="pre">Loader</span></code></a>. This is usually
+xr.open_mfdataset for NETCDF files and MultiFileResourceX for H5
+files.</p></li>
+<li><p><strong>FeatureRegistry</strong> (<em>dict</em>) – Dictionary of
+<a class="reference internal" href="sup3r.preprocessing.derivers.methods.DerivedFeature.html#sup3r.preprocessing.derivers.methods.DerivedFeature" title="sup3r.preprocessing.derivers.methods.DerivedFeature"><code class="xref py py-class docutils literal notranslate"><span class="pre">DerivedFeature</span></code></a>
+objects used for derivations</p></li>
+<li><p><strong>interp_kwargs</strong> (<em>dict | None</em>) – Dictionary of kwargs for level interpolation. Can include “method”
+and “run_level_check” keys. Method specifies how to perform height
+interpolation. e.g. Deriving u_20m from u_10m and u_100m. Options
+are “linear” and “log”. See
+<code class="xref py py-meth docutils literal notranslate"><span class="pre">sup3r.preprocessing.derivers.Deriver.do_level_interpolation()</span></code></p></li>
+<li><p><strong>cache_kwargs</strong> (<em>dict | None</em>) – Dictionary with kwargs for caching wrangled data. This should at
+minimum include a <cite>cache_pattern</cite> key, value. This pattern must
+have a {feature} format key and either a h5 or nc file extension,
+based on desired output type. See class:<cite>Cacher</cite> for description
+of more arguments.</p></li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Dictionary of additional keyword args for
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code>, used
+specifically for rasterizing flattened data</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.check_registry" title="sup3r.preprocessing.data_handlers.factory.DataHandler.check_registry"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_registry</span></code></a>(feature)</p></td>
+<td><p>Get compute method from the registry if available.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.derive" title="sup3r.preprocessing.data_handlers.factory.DataHandler.derive"><code class="xref py py-obj docutils literal notranslate"><span class="pre">derive</span></code></a>(feature)</p></td>
+<td><p>Routine to derive requested features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.do_level_interpolation" title="sup3r.preprocessing.data_handlers.factory.DataHandler.do_level_interpolation"><code class="xref py py-obj docutils literal notranslate"><span class="pre">do_level_interpolation</span></code></a>(feature[, interp_kwargs])</p></td>
+<td><p>Interpolate over height or pressure to derive the given feature.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.get_inputs" title="sup3r.preprocessing.data_handlers.factory.DataHandler.get_inputs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_inputs</span></code></a>(feature)</p></td>
+<td><p>Get inputs for the given feature and inputs for those inputs.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.get_multi_level_data" title="sup3r.preprocessing.data_handlers.factory.DataHandler.get_multi_level_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_multi_level_data</span></code></a>(feature)</p></td>
+<td><p>Get data stored in multi-level arrays, like u stored on pressure levels.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.get_single_level_data" title="sup3r.preprocessing.data_handlers.factory.DataHandler.get_single_level_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_single_level_data</span></code></a>(feature)</p></td>
+<td><p>When doing level interpolation we should include the single level data available.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.has_interp_variables" title="sup3r.preprocessing.data_handlers.factory.DataHandler.has_interp_variables"><code class="xref py py-obj docutils literal notranslate"><span class="pre">has_interp_variables</span></code></a>(feature)</p></td>
+<td><p>Check if the given feature can be interpolated from values at nearby heights or from pressure level data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.map_new_name" title="sup3r.preprocessing.data_handlers.factory.DataHandler.map_new_name"><code class="xref py py-obj docutils literal notranslate"><span class="pre">map_new_name</span></code></a>(feature, pattern)</p></td>
+<td><p>If the search for a derivation method first finds an alternative name for the feature we want to derive, by matching a wildcard pattern, we need to replace the wildcard with the specific height or pressure we want and continue the search for a derivation method with this new name.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.no_overlap" title="sup3r.preprocessing.data_handlers.factory.DataHandler.no_overlap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">no_overlap</span></code></a>(feature)</p></td>
+<td><p>Check if any of the nested inputs for 'feature' contain 'feature'</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.post_init_log" title="sup3r.preprocessing.data_handlers.factory.DataHandler.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.wrap" title="sup3r.preprocessing.data_handlers.factory.DataHandler.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">FEATURE_REGISTRY</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.data" title="sup3r.preprocessing.data_handlers.factory.DataHandler.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.shape" title="sup3r.preprocessing.data_handlers.factory.DataHandler.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandler.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.wrap" title="sup3r.preprocessing.data_handlers.factory.DataHandler.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandler.check_registry">
+<span class="sig-name descname"><span class="pre">check_registry</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.check_registry" title="Link to this definition">#</a></dt>
+<dd><p>Get compute method from the registry if available. Will check for
+pattern feature match in feature registry. e.g. if u_100m matches a
+feature registry entry of u_(.*)m</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandler.derive">
+<span class="sig-name descname"><span class="pre">derive</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.derive" title="Link to this definition">#</a></dt>
+<dd><p>Routine to derive requested features. Employs a little recursion to
+locate differently named features with a name map in the feature
+registry. i.e. if  <cite>FEATURE_REGISTRY</cite> contains a key, value pair like
+“windspeed”: “wind_speed” then requesting “windspeed” will ultimately
+return a compute method (or fetch from raw data) for “wind_speed</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Features are all saved as lower case names and __contains__ checks will
+use feature.lower()</p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandler.do_level_interpolation">
+<span class="sig-name descname"><span class="pre">do_level_interpolation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interp_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">DataArray</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.do_level_interpolation" title="Link to this definition">#</a></dt>
+<dd><p>Interpolate over height or pressure to derive the given feature.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandler.get_inputs">
+<span class="sig-name descname"><span class="pre">get_inputs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.get_inputs" title="Link to this definition">#</a></dt>
+<dd><p>Get inputs for the given feature and inputs for those inputs.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandler.get_multi_level_data">
+<span class="sig-name descname"><span class="pre">get_multi_level_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.get_multi_level_data" title="Link to this definition">#</a></dt>
+<dd><p>Get data stored in multi-level arrays, like u stored on pressure
+levels.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandler.get_single_level_data">
+<span class="sig-name descname"><span class="pre">get_single_level_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.get_single_level_data" title="Link to this definition">#</a></dt>
+<dd><p>When doing level interpolation we should include the single level
+data available. e.g. If we have u_100m already and want to interpolate
+u_40m from multi-level data U we should add u_100m at height 100m
+before doing interpolation, since 100 could be a closer level to 40m
+than those available in U.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandler.has_interp_variables">
+<span class="sig-name descname"><span class="pre">has_interp_variables</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.has_interp_variables" title="Link to this definition">#</a></dt>
+<dd><p>Check if the given feature can be interpolated from values at nearby
+heights or from pressure level data. e.g. If <code class="docutils literal notranslate"><span class="pre">u_10m</span></code> and <code class="docutils literal notranslate"><span class="pre">u_50m</span></code>
+exist then <code class="docutils literal notranslate"><span class="pre">u_30m</span></code> can be interpolated from these. If a pressure
+level array <code class="docutils literal notranslate"><span class="pre">u</span></code> is available this can also be used, in conjunction
+with height data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandler.map_new_name">
+<span class="sig-name descname"><span class="pre">map_new_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pattern</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.map_new_name" title="Link to this definition">#</a></dt>
+<dd><p>If the search for a derivation method first finds an alternative
+name for the feature we want to derive, by matching a wildcard pattern,
+we need to replace the wildcard with the specific height or pressure we
+want and continue the search for a derivation method with this new
+name.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandler.no_overlap">
+<span class="sig-name descname"><span class="pre">no_overlap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.no_overlap" title="Link to this definition">#</a></dt>
+<dd><p>Check if any of the nested inputs for ‘feature’ contain ‘feature’</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandler.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandler.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandler.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler"><code class="docutils literal notranslate"><span class="pre">DataHandler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.data"><code class="docutils literal notranslate"><span class="pre">DataHandler.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.check_registry"><code class="docutils literal notranslate"><span class="pre">DataHandler.check_registry()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.derive"><code class="docutils literal notranslate"><span class="pre">DataHandler.derive()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.do_level_interpolation"><code class="docutils literal notranslate"><span class="pre">DataHandler.do_level_interpolation()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.get_inputs"><code class="docutils literal notranslate"><span class="pre">DataHandler.get_inputs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.get_multi_level_data"><code class="docutils literal notranslate"><span class="pre">DataHandler.get_multi_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.get_single_level_data"><code class="docutils literal notranslate"><span class="pre">DataHandler.get_single_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.has_interp_variables"><code class="docutils literal notranslate"><span class="pre">DataHandler.has_interp_variables()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.map_new_name"><code class="docutils literal notranslate"><span class="pre">DataHandler.map_new_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.no_overlap"><code class="docutils literal notranslate"><span class="pre">DataHandler.no_overlap()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.post_init_log"><code class="docutils literal notranslate"><span class="pre">DataHandler.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.shape"><code class="docutils literal notranslate"><span class="pre">DataHandler.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandler.wrap"><code class="docutils literal notranslate"><span class="pre">DataHandler.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
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+<h1>sup3r.preprocessing.data_handlers.factory.DataHandlerFactory<a class="headerlink" href="#sup3r-preprocessing-data-handlers-factory-datahandlerfactory" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerFactory">
+<span class="sig-name descname"><span class="pre">DataHandlerFactory</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cls</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">BaseLoader</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">FeatureRegistry</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/data_handlers/factory.html#DataHandlerFactory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerFactory" title="Link to this definition">#</a></dt>
+<dd><p>Build composite objects that load from file_paths, rasterize a specified
+region, derive new features, and cache derived data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>BaseLoader</strong> (<em>Callable</em>) – Optional base loader update. The default for H5 is MultiFileWindX and
+for NETCDF the default is xarray</p></li>
+<li><p><strong>FeatureRegistry</strong> (<em>Dict[str, DerivedFeature]</em>) – Dictionary of compute methods for features. This is used to look up how
+to derive features that are not contained in the raw loaded data.</p></li>
+<li><p><strong>name</strong> (<em>str</em>) – Optional class name, used to resolve <cite>repr(Class)</cite> and distinguish
+partially initialized DataHandlers with different FeatureRegistrys</p></li>
+</ul>
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+              
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.BASE_LOADER"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.BASE_LOADER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.check_registry"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.check_registry()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.data"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.derive"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.derive()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.do_level_interpolation"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.do_level_interpolation()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.get_inputs"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.get_inputs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.get_multi_level_data"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.get_multi_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.get_single_level_data"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.get_single_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.has_interp_variables"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.has_interp_variables()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.map_new_name"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.map_new_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.no_overlap"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.no_overlap()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.post_init_log"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.shape"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.wrap"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-data-handlers-factory-datahandlerh5solarcc">
+<h1>sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC<a class="headerlink" href="#sup3r-preprocessing-data-handlers-factory-datahandlerh5solarcc" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">DataHandlerH5SolarCC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">res_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_slice</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">slice(None,</span> <span class="pre">None,</span> <span class="pre">None)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_roll</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_shift</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hr_spatial_coarsen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nan_method_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interp_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.html#sup3r.preprocessing.data_handlers.factory.DailyDataHandler" title="sup3r.preprocessing.data_handlers.factory.DailyDataHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">DailyDataHandler</span></code></a></p>
+<p>FactoryDataHandler object. Is a partially initialized instance with
+<cite>BaseLoader</cite>, <cite>FeatureRegistry</cite>, and <cite>name</cite> set.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_paths</strong> (<em>str | list | pathlib.Path</em>) – file_paths input to LoaderClass</p></li>
+<li><p><strong>features</strong> (<em>list | str</em>) – Features to load and / or derive. If ‘all’ then all available raw
+features will be loaded. Specify explicit feature names for
+derivations.</p></li>
+<li><p><strong>res_kwargs</strong> (<em>dict</em>) – Additional keyword arguments passed through to the <code class="docutils literal notranslate"><span class="pre">BaseLoader</span></code>.
+BaseLoader is usually xr.open_mfdataset for NETCDF files and
+MultiFileResourceX for H5 files.</p></li>
+<li><p><strong>chunks</strong> (<em>dict | str</em>) – Dictionary of chunk sizes to pass through to
+<code class="docutils literal notranslate"><span class="pre">dask.array.from_array()</span></code> or <code class="docutils literal notranslate"><span class="pre">xr.Dataset().chunk()</span></code>. Will be
+converted to a tuple when used in <code class="docutils literal notranslate"><span class="pre">from_array()</span></code>. These are the
+methods for H5 and NETCDF data, respectively. This argument can
+be “auto” or None in addition to a dictionary. None will not do
+any chunking and load data into memory as <code class="docutils literal notranslate"><span class="pre">np.array</span></code></p></li>
+<li><p><strong>target</strong> (<em>tuple</em>) – (lat, lon) lower left corner of raster. Either need target+shape
+or raster_file.</p></li>
+<li><p><strong>shape</strong> (<em>tuple</em>) – (rows, cols) grid size. Either need target+shape or raster_file.</p></li>
+<li><p><strong>time_slice</strong> (<em>slice | list</em>) – Slice specifying extent and step of temporal extraction. e.g.
+slice(start, stop, step). If equal to slice(None, None, 1) the full
+time dimension is selected. Can be also be a list <code class="docutils literal notranslate"><span class="pre">[start,</span> <span class="pre">stop,</span>
+<span class="pre">step]</span></code></p></li>
+<li><p><strong>threshold</strong> (<em>float</em>) – Nearest neighbor euclidean distance threshold. If the coordinates
+are more than this value away from the target lat/lon, an error is
+raised.</p></li>
+<li><p><strong>time_roll</strong> (<em>int</em>) – Number of steps to roll along the time axis. <cite>Passed to
+xr.Dataset.roll()</cite></p></li>
+<li><p><strong>time_shift</strong> (<em>int | None</em>) – Number of minutes to shift time axis. This can be used, for
+example, to shift the time index for daily data so that the time
+stamp for a given day starts at the zeroth minute instead of at
+noon, as is the case for most GCM data.</p></li>
+<li><p><strong>hr_spatial_coarsen</strong> (<em>int</em>) – Spatial coarsening factor. Passed to <cite>xr.Dataset.coarsen()</cite></p></li>
+<li><p><strong>nan_method_kwargs</strong> (<em>str | dict | None</em>) – Keyword arguments for nan handling. If ‘mask’, time steps with nans
+will be dropped. Otherwise this should be a dict of kwargs which
+will be passed to
+<a class="reference internal" href="sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.interpolate_na" title="sup3r.preprocessing.accessor.Sup3rX.interpolate_na"><code class="xref py py-meth docutils literal notranslate"><span class="pre">sup3r.preprocessing.accessor.Sup3rX.interpolate_na()</span></code></a>.</p></li>
+<li><p><strong>interp_kwargs</strong> (<em>dict | None</em>) – Dictionary of kwargs for level interpolation. Can include “method”
+and “run_level_check” keys. Method specifies how to perform height
+interpolation. e.g. Deriving u_20m from u_10m and u_100m. Options
+are “linear” and “log”. See
+<code class="xref py py-meth docutils literal notranslate"><span class="pre">sup3r.preprocessing.derivers.Deriver.do_level_interpolation()</span></code></p></li>
+<li><p><strong>cache_kwargs</strong> (<em>dict | None</em>) – Dictionary with kwargs for caching wrangled data. This should at
+minimum include a <cite>cache_pattern</cite> key, value. This pattern must
+have a {feature} format key and either a h5 or nc file extension,
+based on desired output type. See class:<cite>Cacher</cite> for description
+of more arguments.</p></li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Dictionary of additional keyword args for
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code>, used
+specifically for rasterizing flattened data</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.check_registry" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.check_registry"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_registry</span></code></a>(feature)</p></td>
+<td><p>Get compute method from the registry if available.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.derive" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.derive"><code class="xref py py-obj docutils literal notranslate"><span class="pre">derive</span></code></a>(feature)</p></td>
+<td><p>Routine to derive requested features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.do_level_interpolation" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.do_level_interpolation"><code class="xref py py-obj docutils literal notranslate"><span class="pre">do_level_interpolation</span></code></a>(feature[, interp_kwargs])</p></td>
+<td><p>Interpolate over height or pressure to derive the given feature.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.get_inputs" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.get_inputs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_inputs</span></code></a>(feature)</p></td>
+<td><p>Get inputs for the given feature and inputs for those inputs.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.get_multi_level_data" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.get_multi_level_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_multi_level_data</span></code></a>(feature)</p></td>
+<td><p>Get data stored in multi-level arrays, like u stored on pressure levels.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.get_single_level_data" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.get_single_level_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_single_level_data</span></code></a>(feature)</p></td>
+<td><p>When doing level interpolation we should include the single level data available.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.has_interp_variables" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.has_interp_variables"><code class="xref py py-obj docutils literal notranslate"><span class="pre">has_interp_variables</span></code></a>(feature)</p></td>
+<td><p>Check if the given feature can be interpolated from values at nearby heights or from pressure level data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.map_new_name" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.map_new_name"><code class="xref py py-obj docutils literal notranslate"><span class="pre">map_new_name</span></code></a>(feature, pattern)</p></td>
+<td><p>If the search for a derivation method first finds an alternative name for the feature we want to derive, by matching a wildcard pattern, we need to replace the wildcard with the specific height or pressure we want and continue the search for a derivation method with this new name.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.no_overlap" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.no_overlap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">no_overlap</span></code></a>(feature)</p></td>
+<td><p>Check if any of the nested inputs for 'feature' contain 'feature'</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.post_init_log" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.wrap" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">FEATURE_REGISTRY</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.data" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.shape" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.BASE_LOADER">
+<span class="sig-name descname"><span class="pre">BASE_LOADER</span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.BASE_LOADER" title="Link to this definition">#</a></dt>
+<dd><p>alias of <code class="xref py py-class docutils literal notranslate"><span class="pre">MultiFileNSRDBX</span></code></p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.check_registry">
+<span class="sig-name descname"><span class="pre">check_registry</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.check_registry" title="Link to this definition">#</a></dt>
+<dd><p>Get compute method from the registry if available. Will check for
+pattern feature match in feature registry. e.g. if u_100m matches a
+feature registry entry of u_(.*)m</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.wrap" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.derive">
+<span class="sig-name descname"><span class="pre">derive</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.derive" title="Link to this definition">#</a></dt>
+<dd><p>Routine to derive requested features. Employs a little recursion to
+locate differently named features with a name map in the feature
+registry. i.e. if  <cite>FEATURE_REGISTRY</cite> contains a key, value pair like
+“windspeed”: “wind_speed” then requesting “windspeed” will ultimately
+return a compute method (or fetch from raw data) for “wind_speed</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Features are all saved as lower case names and __contains__ checks will
+use feature.lower()</p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.do_level_interpolation">
+<span class="sig-name descname"><span class="pre">do_level_interpolation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interp_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">DataArray</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.do_level_interpolation" title="Link to this definition">#</a></dt>
+<dd><p>Interpolate over height or pressure to derive the given feature.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.get_inputs">
+<span class="sig-name descname"><span class="pre">get_inputs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.get_inputs" title="Link to this definition">#</a></dt>
+<dd><p>Get inputs for the given feature and inputs for those inputs.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.get_multi_level_data">
+<span class="sig-name descname"><span class="pre">get_multi_level_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.get_multi_level_data" title="Link to this definition">#</a></dt>
+<dd><p>Get data stored in multi-level arrays, like u stored on pressure
+levels.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.get_single_level_data">
+<span class="sig-name descname"><span class="pre">get_single_level_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.get_single_level_data" title="Link to this definition">#</a></dt>
+<dd><p>When doing level interpolation we should include the single level
+data available. e.g. If we have u_100m already and want to interpolate
+u_40m from multi-level data U we should add u_100m at height 100m
+before doing interpolation, since 100 could be a closer level to 40m
+than those available in U.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.has_interp_variables">
+<span class="sig-name descname"><span class="pre">has_interp_variables</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.has_interp_variables" title="Link to this definition">#</a></dt>
+<dd><p>Check if the given feature can be interpolated from values at nearby
+heights or from pressure level data. e.g. If <code class="docutils literal notranslate"><span class="pre">u_10m</span></code> and <code class="docutils literal notranslate"><span class="pre">u_50m</span></code>
+exist then <code class="docutils literal notranslate"><span class="pre">u_30m</span></code> can be interpolated from these. If a pressure
+level array <code class="docutils literal notranslate"><span class="pre">u</span></code> is available this can also be used, in conjunction
+with height data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.map_new_name">
+<span class="sig-name descname"><span class="pre">map_new_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pattern</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.map_new_name" title="Link to this definition">#</a></dt>
+<dd><p>If the search for a derivation method first finds an alternative
+name for the feature we want to derive, by matching a wildcard pattern,
+we need to replace the wildcard with the specific height or pressure we
+want and continue the search for a derivation method with this new
+name.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.no_overlap">
+<span class="sig-name descname"><span class="pre">no_overlap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.no_overlap" title="Link to this definition">#</a></dt>
+<dd><p>Check if any of the nested inputs for ‘feature’ contain ‘feature’</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.BASE_LOADER"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.BASE_LOADER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.check_registry"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.check_registry()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.data"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.derive"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.derive()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.do_level_interpolation"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.do_level_interpolation()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.get_inputs"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.get_inputs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.get_multi_level_data"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.get_multi_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.get_single_level_data"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.get_single_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.has_interp_variables"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.has_interp_variables()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.map_new_name"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.map_new_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.no_overlap"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.no_overlap()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.post_init_log"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.shape"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.wrap"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC.wrap()</span></code></a></li>
+</ul>
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+</ul>
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diff --git a/_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.html b/_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.html
new file mode 100644
index 000000000..e97c3a233
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+    <h1>sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.BASE_LOADER"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.BASE_LOADER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.check_registry"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.check_registry()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.data"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.derive"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.derive()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.do_level_interpolation"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.do_level_interpolation()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.get_inputs"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.get_inputs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.get_multi_level_data"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.get_multi_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.get_single_level_data"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.get_single_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.has_interp_variables"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.has_interp_variables()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.map_new_name"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.map_new_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.no_overlap"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.no_overlap()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.post_init_log"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.shape"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.wrap"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-data-handlers-factory-datahandlerh5windcc">
+<h1>sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC<a class="headerlink" href="#sup3r-preprocessing-data-handlers-factory-datahandlerh5windcc" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">DataHandlerH5WindCC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">res_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_slice</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">slice(None,</span> <span class="pre">None,</span> <span class="pre">None)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_roll</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_shift</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hr_spatial_coarsen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nan_method_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interp_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.html#sup3r.preprocessing.data_handlers.factory.DailyDataHandler" title="sup3r.preprocessing.data_handlers.factory.DailyDataHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">DailyDataHandler</span></code></a></p>
+<p>FactoryDataHandler object. Is a partially initialized instance with
+<cite>BaseLoader</cite>, <cite>FeatureRegistry</cite>, and <cite>name</cite> set.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_paths</strong> (<em>str | list | pathlib.Path</em>) – file_paths input to LoaderClass</p></li>
+<li><p><strong>features</strong> (<em>list | str</em>) – Features to load and / or derive. If ‘all’ then all available raw
+features will be loaded. Specify explicit feature names for
+derivations.</p></li>
+<li><p><strong>res_kwargs</strong> (<em>dict</em>) – Additional keyword arguments passed through to the <code class="docutils literal notranslate"><span class="pre">BaseLoader</span></code>.
+BaseLoader is usually xr.open_mfdataset for NETCDF files and
+MultiFileResourceX for H5 files.</p></li>
+<li><p><strong>chunks</strong> (<em>dict | str</em>) – Dictionary of chunk sizes to pass through to
+<code class="docutils literal notranslate"><span class="pre">dask.array.from_array()</span></code> or <code class="docutils literal notranslate"><span class="pre">xr.Dataset().chunk()</span></code>. Will be
+converted to a tuple when used in <code class="docutils literal notranslate"><span class="pre">from_array()</span></code>. These are the
+methods for H5 and NETCDF data, respectively. This argument can
+be “auto” or None in addition to a dictionary. None will not do
+any chunking and load data into memory as <code class="docutils literal notranslate"><span class="pre">np.array</span></code></p></li>
+<li><p><strong>target</strong> (<em>tuple</em>) – (lat, lon) lower left corner of raster. Either need target+shape
+or raster_file.</p></li>
+<li><p><strong>shape</strong> (<em>tuple</em>) – (rows, cols) grid size. Either need target+shape or raster_file.</p></li>
+<li><p><strong>time_slice</strong> (<em>slice | list</em>) – Slice specifying extent and step of temporal extraction. e.g.
+slice(start, stop, step). If equal to slice(None, None, 1) the full
+time dimension is selected. Can be also be a list <code class="docutils literal notranslate"><span class="pre">[start,</span> <span class="pre">stop,</span>
+<span class="pre">step]</span></code></p></li>
+<li><p><strong>threshold</strong> (<em>float</em>) – Nearest neighbor euclidean distance threshold. If the coordinates
+are more than this value away from the target lat/lon, an error is
+raised.</p></li>
+<li><p><strong>time_roll</strong> (<em>int</em>) – Number of steps to roll along the time axis. <cite>Passed to
+xr.Dataset.roll()</cite></p></li>
+<li><p><strong>time_shift</strong> (<em>int | None</em>) – Number of minutes to shift time axis. This can be used, for
+example, to shift the time index for daily data so that the time
+stamp for a given day starts at the zeroth minute instead of at
+noon, as is the case for most GCM data.</p></li>
+<li><p><strong>hr_spatial_coarsen</strong> (<em>int</em>) – Spatial coarsening factor. Passed to <cite>xr.Dataset.coarsen()</cite></p></li>
+<li><p><strong>nan_method_kwargs</strong> (<em>str | dict | None</em>) – Keyword arguments for nan handling. If ‘mask’, time steps with nans
+will be dropped. Otherwise this should be a dict of kwargs which
+will be passed to
+<a class="reference internal" href="sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.interpolate_na" title="sup3r.preprocessing.accessor.Sup3rX.interpolate_na"><code class="xref py py-meth docutils literal notranslate"><span class="pre">sup3r.preprocessing.accessor.Sup3rX.interpolate_na()</span></code></a>.</p></li>
+<li><p><strong>interp_kwargs</strong> (<em>dict | None</em>) – Dictionary of kwargs for level interpolation. Can include “method”
+and “run_level_check” keys. Method specifies how to perform height
+interpolation. e.g. Deriving u_20m from u_10m and u_100m. Options
+are “linear” and “log”. See
+<code class="xref py py-meth docutils literal notranslate"><span class="pre">sup3r.preprocessing.derivers.Deriver.do_level_interpolation()</span></code></p></li>
+<li><p><strong>cache_kwargs</strong> (<em>dict | None</em>) – Dictionary with kwargs for caching wrangled data. This should at
+minimum include a <cite>cache_pattern</cite> key, value. This pattern must
+have a {feature} format key and either a h5 or nc file extension,
+based on desired output type. See class:<cite>Cacher</cite> for description
+of more arguments.</p></li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Dictionary of additional keyword args for
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code>, used
+specifically for rasterizing flattened data</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.check_registry" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.check_registry"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_registry</span></code></a>(feature)</p></td>
+<td><p>Get compute method from the registry if available.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.derive" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.derive"><code class="xref py py-obj docutils literal notranslate"><span class="pre">derive</span></code></a>(feature)</p></td>
+<td><p>Routine to derive requested features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.do_level_interpolation" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.do_level_interpolation"><code class="xref py py-obj docutils literal notranslate"><span class="pre">do_level_interpolation</span></code></a>(feature[, interp_kwargs])</p></td>
+<td><p>Interpolate over height or pressure to derive the given feature.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.get_inputs" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.get_inputs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_inputs</span></code></a>(feature)</p></td>
+<td><p>Get inputs for the given feature and inputs for those inputs.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.get_multi_level_data" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.get_multi_level_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_multi_level_data</span></code></a>(feature)</p></td>
+<td><p>Get data stored in multi-level arrays, like u stored on pressure levels.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.get_single_level_data" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.get_single_level_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_single_level_data</span></code></a>(feature)</p></td>
+<td><p>When doing level interpolation we should include the single level data available.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.has_interp_variables" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.has_interp_variables"><code class="xref py py-obj docutils literal notranslate"><span class="pre">has_interp_variables</span></code></a>(feature)</p></td>
+<td><p>Check if the given feature can be interpolated from values at nearby heights or from pressure level data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.map_new_name" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.map_new_name"><code class="xref py py-obj docutils literal notranslate"><span class="pre">map_new_name</span></code></a>(feature, pattern)</p></td>
+<td><p>If the search for a derivation method first finds an alternative name for the feature we want to derive, by matching a wildcard pattern, we need to replace the wildcard with the specific height or pressure we want and continue the search for a derivation method with this new name.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.no_overlap" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.no_overlap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">no_overlap</span></code></a>(feature)</p></td>
+<td><p>Check if any of the nested inputs for 'feature' contain 'feature'</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.post_init_log" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.wrap" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">FEATURE_REGISTRY</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.data" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.shape" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.BASE_LOADER">
+<span class="sig-name descname"><span class="pre">BASE_LOADER</span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.BASE_LOADER" title="Link to this definition">#</a></dt>
+<dd><p>alias of <code class="xref py py-class docutils literal notranslate"><span class="pre">MultiFileNSRDBX</span></code></p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.check_registry">
+<span class="sig-name descname"><span class="pre">check_registry</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.check_registry" title="Link to this definition">#</a></dt>
+<dd><p>Get compute method from the registry if available. Will check for
+pattern feature match in feature registry. e.g. if u_100m matches a
+feature registry entry of u_(.*)m</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.wrap" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.derive">
+<span class="sig-name descname"><span class="pre">derive</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.derive" title="Link to this definition">#</a></dt>
+<dd><p>Routine to derive requested features. Employs a little recursion to
+locate differently named features with a name map in the feature
+registry. i.e. if  <cite>FEATURE_REGISTRY</cite> contains a key, value pair like
+“windspeed”: “wind_speed” then requesting “windspeed” will ultimately
+return a compute method (or fetch from raw data) for “wind_speed</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Features are all saved as lower case names and __contains__ checks will
+use feature.lower()</p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.do_level_interpolation">
+<span class="sig-name descname"><span class="pre">do_level_interpolation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interp_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">DataArray</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.do_level_interpolation" title="Link to this definition">#</a></dt>
+<dd><p>Interpolate over height or pressure to derive the given feature.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.get_inputs">
+<span class="sig-name descname"><span class="pre">get_inputs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.get_inputs" title="Link to this definition">#</a></dt>
+<dd><p>Get inputs for the given feature and inputs for those inputs.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.get_multi_level_data">
+<span class="sig-name descname"><span class="pre">get_multi_level_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.get_multi_level_data" title="Link to this definition">#</a></dt>
+<dd><p>Get data stored in multi-level arrays, like u stored on pressure
+levels.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.get_single_level_data">
+<span class="sig-name descname"><span class="pre">get_single_level_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.get_single_level_data" title="Link to this definition">#</a></dt>
+<dd><p>When doing level interpolation we should include the single level
+data available. e.g. If we have u_100m already and want to interpolate
+u_40m from multi-level data U we should add u_100m at height 100m
+before doing interpolation, since 100 could be a closer level to 40m
+than those available in U.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.has_interp_variables">
+<span class="sig-name descname"><span class="pre">has_interp_variables</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.has_interp_variables" title="Link to this definition">#</a></dt>
+<dd><p>Check if the given feature can be interpolated from values at nearby
+heights or from pressure level data. e.g. If <code class="docutils literal notranslate"><span class="pre">u_10m</span></code> and <code class="docutils literal notranslate"><span class="pre">u_50m</span></code>
+exist then <code class="docutils literal notranslate"><span class="pre">u_30m</span></code> can be interpolated from these. If a pressure
+level array <code class="docutils literal notranslate"><span class="pre">u</span></code> is available this can also be used, in conjunction
+with height data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.map_new_name">
+<span class="sig-name descname"><span class="pre">map_new_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pattern</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.map_new_name" title="Link to this definition">#</a></dt>
+<dd><p>If the search for a derivation method first finds an alternative
+name for the feature we want to derive, by matching a wildcard pattern,
+we need to replace the wildcard with the specific height or pressure we
+want and continue the search for a derivation method with this new
+name.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.no_overlap">
+<span class="sig-name descname"><span class="pre">no_overlap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.no_overlap" title="Link to this definition">#</a></dt>
+<dd><p>Check if any of the nested inputs for ‘feature’ contain ‘feature’</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.BASE_LOADER"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.BASE_LOADER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.check_registry"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.check_registry()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.data"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.derive"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.derive()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.do_level_interpolation"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.do_level_interpolation()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.get_inputs"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.get_inputs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.get_multi_level_data"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.get_multi_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.get_single_level_data"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.get_single_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.has_interp_variables"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.has_interp_variables()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.map_new_name"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.map_new_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.no_overlap"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.no_overlap()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.post_init_log"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.shape"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.wrap"><code class="docutils literal notranslate"><span class="pre">DataHandlerH5WindCC.wrap()</span></code></a></li>
+</ul>
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+</ul>
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+  <section id="module-sup3r.preprocessing.data_handlers.factory">
+<span id="sup3r-preprocessing-data-handlers-factory"></span><h1>sup3r.preprocessing.data_handlers.factory<a class="headerlink" href="#module-sup3r.preprocessing.data_handlers.factory" title="Link to this heading">#</a></h1>
+<p>DataHandler objects, which are built through composition of
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code>,
+<a class="reference internal" href="sup3r.preprocessing.loaders.Loader.html#sup3r.preprocessing.loaders.Loader" title="sup3r.preprocessing.loaders.Loader"><code class="xref py py-class docutils literal notranslate"><span class="pre">Loader</span></code></a>,
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Deriver</span></code>, and
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Cacher</span></code> classes.</p>
+<p>TODO: If <code class="docutils literal notranslate"><span class="pre">.data</span></code> is a <code class="docutils literal notranslate"><span class="pre">Sup3rDataset</span></code> with more than one member only the
+high resolution data is cached. We could extend caching and loading to write /
+load both with groups</p>
+<p class="rubric">Functions</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.data_handlers.factory.DataHandlerFactory.html#sup3r.preprocessing.data_handlers.factory.DataHandlerFactory" title="sup3r.preprocessing.data_handlers.factory.DataHandlerFactory"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataHandlerFactory</span></code></a>(cls[, BaseLoader, ...])</p></td>
+<td><p>Build composite objects that load from file_paths, rasterize a specified region, derive new features, and cache derived data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.data_handlers.factory.DailyDataHandler.html#sup3r.preprocessing.data_handlers.factory.DailyDataHandler" title="sup3r.preprocessing.data_handlers.factory.DailyDataHandler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DailyDataHandler</span></code></a>(file_paths, *[, features, ...])</p></td>
+<td><p>General data handler class with daily data as an additional attribute.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.data_handlers.factory.DataHandler.html#sup3r.preprocessing.data_handlers.factory.DataHandler" title="sup3r.preprocessing.data_handlers.factory.DataHandler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataHandler</span></code></a>(file_paths[, features, ...])</p></td>
+<td><p>Base DataHandler.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataHandlerH5SolarCC</span></code></a>(file_paths, *[, ...])</p></td>
+<td><p>FactoryDataHandler object.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC" title="sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataHandlerH5WindCC</span></code></a>(file_paths, *[, ...])</p></td>
+<td><p>FactoryDataHandler object.</p></td>
+</tr>
+</tbody>
+</table>
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+    <h1>sup3r.preprocessing.data_handlers</h1>
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+  <section id="module-sup3r.preprocessing.data_handlers">
+<span id="sup3r-preprocessing-data-handlers"></span><h1>sup3r.preprocessing.data_handlers<a class="headerlink" href="#module-sup3r.preprocessing.data_handlers" title="Link to this heading">#</a></h1>
+<p>Composite objects built from loaders, rasterizers, and derivers.</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.data_handlers.exo.html#module-sup3r.preprocessing.data_handlers.exo" title="sup3r.preprocessing.data_handlers.exo"><code class="xref py py-obj docutils literal notranslate"><span class="pre">exo</span></code></a></p></td>
+<td><p>Exogenous data handler and related objects.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.data_handlers.factory.html#module-sup3r.preprocessing.data_handlers.factory" title="sup3r.preprocessing.data_handlers.factory"><code class="xref py py-obj docutils literal notranslate"><span class="pre">factory</span></code></a></p></td>
+<td><p>DataHandler objects, which are built through composition of <code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code>, <a class="reference internal" href="sup3r.preprocessing.loaders.Loader.html#sup3r.preprocessing.loaders.Loader" title="sup3r.preprocessing.loaders.Loader"><code class="xref py py-class docutils literal notranslate"><span class="pre">Loader</span></code></a>, <code class="xref py py-class docutils literal notranslate"><span class="pre">Deriver</span></code>, and <code class="xref py py-class docutils literal notranslate"><span class="pre">Cacher</span></code> classes.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.data_handlers.nc_cc.html#module-sup3r.preprocessing.data_handlers.nc_cc" title="sup3r.preprocessing.data_handlers.nc_cc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nc_cc</span></code></a></p></td>
+<td><p>NETCDF DataHandler for climate change applications.</p></td>
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+    <h1>sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.run_input_checks"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.run_input_checks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.run_wrap_checks"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.run_wrap_checks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_time_slice"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.get_time_slice()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_clearsky_ghi"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.get_clearsky_ghi()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.check_registry"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.check_registry()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.data"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.derive"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.derive()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.do_level_interpolation"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.do_level_interpolation()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_inputs"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.get_inputs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_multi_level_data"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.get_multi_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_single_level_data"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.get_single_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.has_interp_variables"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.has_interp_variables()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.map_new_name"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.map_new_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.no_overlap"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.no_overlap()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.post_init_log"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.shape"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.wrap"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.wrap()</span></code></a></li>
+</ul>
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+</ul>
+            </nav>
+        </div>
+    </div>
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+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-data-handlers-nc-cc-datahandlerncforcc">
+<h1>sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC<a class="headerlink" href="#sup3r-preprocessing-data-handlers-nc-cc-datahandlerncforcc" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">DataHandlerNCforCC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nsrdb_source_fp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nsrdb_agg</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nsrdb_smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">res_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_slice</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">slice(None,</span> <span class="pre">None,</span> <span class="pre">None)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_roll</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_shift</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hr_spatial_coarsen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nan_method_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interp_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/data_handlers/nc_cc.html#DataHandlerNCforCC"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">FactoryDataHandler</span></code></p>
+<p>Extended NETCDF data handler. This implements a rasterizer hook to add
+“clearsky_ghi” to the rasterized data if “clearsky_ghi” is requested.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_paths</strong> (<em>str | list | pathlib.Path</em>) – file_paths input to LoaderClass</p></li>
+<li><p><strong>features</strong> (<em>list | str</em>) – Features to load and / or derive. If ‘all’ then all available raw
+features will be loaded. Specify explicit feature names for
+derivations.</p></li>
+<li><p><strong>nsrdb_source_fp</strong> (<em>str | None</em>) – Optional NSRDB source h5 file to retrieve clearsky_ghi from to
+calculate CC clearsky_ratio along with rsds (ghi) from the CC
+netcdf file.</p></li>
+<li><p><strong>nsrdb_agg</strong> (<em>int</em>) – Optional number of NSRDB source pixels to aggregate clearsky_ghi
+from to a single climate change netcdf pixel. This can be used if
+the CC.nc data is at a much coarser resolution than the source
+nsrdb data.</p></li>
+<li><p><strong>nsrdb_smoothing</strong> (<em>float</em>) – Optional gaussian filter smoothing factor to smooth out
+clearsky_ghi from high-resolution nsrdb source data. This is
+typically done because spatially aggregated nsrdb data is still
+usually rougher than CC irradiance data.</p></li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Dictionary of additional keyword args for
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code>, used
+specifically for rasterizing flattened data</p></li>
+<li><p><strong>res_kwargs</strong> (<em>dict</em>) – Additional keyword arguments passed through to the <code class="docutils literal notranslate"><span class="pre">BaseLoader</span></code>.
+BaseLoader is usually xr.open_mfdataset for NETCDF files and
+MultiFileResourceX for H5 files.</p></li>
+<li><p><strong>chunks</strong> (<em>dict | str</em>) – Dictionary of chunk sizes to pass through to
+<code class="docutils literal notranslate"><span class="pre">dask.array.from_array()</span></code> or <code class="docutils literal notranslate"><span class="pre">xr.Dataset().chunk()</span></code>. Will be
+converted to a tuple when used in <code class="docutils literal notranslate"><span class="pre">from_array()</span></code>. These are the
+methods for H5 and NETCDF data, respectively. This argument can
+be “auto” or None in addition to a dictionary. None will not do
+any chunking and load data into memory as <code class="docutils literal notranslate"><span class="pre">np.array</span></code></p></li>
+<li><p><strong>target</strong> (<em>tuple</em>) – (lat, lon) lower left corner of raster. Either need target+shape
+or raster_file.</p></li>
+<li><p><strong>shape</strong> (<em>tuple</em>) – (rows, cols) grid size. Either need target+shape or raster_file.</p></li>
+<li><p><strong>time_slice</strong> (<em>slice | list</em>) – Slice specifying extent and step of temporal extraction. e.g.
+slice(start, stop, step). If equal to slice(None, None, 1) the full
+time dimension is selected. Can be also be a list <code class="docutils literal notranslate"><span class="pre">[start,</span> <span class="pre">stop,</span>
+<span class="pre">step]</span></code></p></li>
+<li><p><strong>threshold</strong> (<em>float</em>) – Nearest neighbor euclidean distance threshold. If the coordinates
+are more than this value away from the target lat/lon, an error is
+raised.</p></li>
+<li><p><strong>time_roll</strong> (<em>int</em>) – Number of steps to roll along the time axis. <cite>Passed to
+xr.Dataset.roll()</cite></p></li>
+<li><p><strong>time_shift</strong> (<em>int | None</em>) – Number of minutes to shift time axis. This can be used, for
+example, to shift the time index for daily data so that the time
+stamp for a given day starts at the zeroth minute instead of at
+noon, as is the case for most GCM data.</p></li>
+<li><p><strong>hr_spatial_coarsen</strong> (<em>int</em>) – Spatial coarsening factor. Passed to <cite>xr.Dataset.coarsen()</cite></p></li>
+<li><p><strong>nan_method_kwargs</strong> (<em>str | dict | None</em>) – Keyword arguments for nan handling. If ‘mask’, time steps with nans
+will be dropped. Otherwise this should be a dict of kwargs which
+will be passed to
+<a class="reference internal" href="sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.interpolate_na" title="sup3r.preprocessing.accessor.Sup3rX.interpolate_na"><code class="xref py py-meth docutils literal notranslate"><span class="pre">sup3r.preprocessing.accessor.Sup3rX.interpolate_na()</span></code></a>.</p></li>
+<li><p><strong>interp_kwargs</strong> (<em>dict | None</em>) – Dictionary of kwargs for level interpolation. Can include “method”
+and “run_level_check” keys. Method specifies how to perform height
+interpolation. e.g. Deriving u_20m from u_10m and u_100m. Options
+are “linear” and “log”. See
+<code class="xref py py-meth docutils literal notranslate"><span class="pre">sup3r.preprocessing.derivers.Deriver.do_level_interpolation()</span></code></p></li>
+<li><p><strong>cache_kwargs</strong> (<em>dict | None</em>) – Dictionary with kwargs for caching wrangled data. This should at
+minimum include a <cite>cache_pattern</cite> key, value. This pattern must
+have a {feature} format key and either a h5 or nc file extension,
+based on desired output type. See class:<cite>Cacher</cite> for description
+of more arguments.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.check_registry" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.check_registry"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_registry</span></code></a>(feature)</p></td>
+<td><p>Get compute method from the registry if available.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.derive" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.derive"><code class="xref py py-obj docutils literal notranslate"><span class="pre">derive</span></code></a>(feature)</p></td>
+<td><p>Routine to derive requested features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.do_level_interpolation" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.do_level_interpolation"><code class="xref py py-obj docutils literal notranslate"><span class="pre">do_level_interpolation</span></code></a>(feature[, interp_kwargs])</p></td>
+<td><p>Interpolate over height or pressure to derive the given feature.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_clearsky_ghi" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_clearsky_ghi"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_clearsky_ghi</span></code></a>()</p></td>
+<td><p>Get clearsky ghi from an exogenous NSRDB source h5 file at the target CC meta data and time index.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_inputs" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_inputs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_inputs</span></code></a>(feature)</p></td>
+<td><p>Get inputs for the given feature and inputs for those inputs.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_multi_level_data" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_multi_level_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_multi_level_data</span></code></a>(feature)</p></td>
+<td><p>Get data stored in multi-level arrays, like u stored on pressure levels.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_single_level_data" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_single_level_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_single_level_data</span></code></a>(feature)</p></td>
+<td><p>When doing level interpolation we should include the single level data available.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_time_slice" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_time_slice"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_time_slice</span></code></a>(ti_nsrdb)</p></td>
+<td><p>Get nsrdb data time slice consistent with self.time_index.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.has_interp_variables" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.has_interp_variables"><code class="xref py py-obj docutils literal notranslate"><span class="pre">has_interp_variables</span></code></a>(feature)</p></td>
+<td><p>Check if the given feature can be interpolated from values at nearby heights or from pressure level data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.map_new_name" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.map_new_name"><code class="xref py py-obj docutils literal notranslate"><span class="pre">map_new_name</span></code></a>(feature, pattern)</p></td>
+<td><p>If the search for a derivation method first finds an alternative name for the feature we want to derive, by matching a wildcard pattern, we need to replace the wildcard with the specific height or pressure we want and continue the search for a derivation method with this new name.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.no_overlap" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.no_overlap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">no_overlap</span></code></a>(feature)</p></td>
+<td><p>Check if any of the nested inputs for 'feature' contain 'feature'</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.post_init_log" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.run_input_checks" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.run_input_checks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run_input_checks</span></code></a>()</p></td>
+<td><p>Run checks on the files provided for extracting clearsky_ghi.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.run_wrap_checks" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.run_wrap_checks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run_wrap_checks</span></code></a>(cs_ghi)</p></td>
+<td><p>Run check on rasterized data from clearsky_ghi source.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.wrap" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">BASE_LOADER</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">FEATURE_REGISTRY</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.data" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.shape" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.run_input_checks">
+<span class="sig-name descname"><span class="pre">run_input_checks</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/data_handlers/nc_cc.html#DataHandlerNCforCC.run_input_checks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.run_input_checks" title="Link to this definition">#</a></dt>
+<dd><p>Run checks on the files provided for extracting clearsky_ghi. Make
+sure the loaded data is daily data and the step size is one day.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.run_wrap_checks">
+<span class="sig-name descname"><span class="pre">run_wrap_checks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cs_ghi</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/data_handlers/nc_cc.html#DataHandlerNCforCC.run_wrap_checks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.run_wrap_checks" title="Link to this definition">#</a></dt>
+<dd><p>Run check on rasterized data from clearsky_ghi source.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_time_slice">
+<span class="sig-name descname"><span class="pre">get_time_slice</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ti_nsrdb</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/data_handlers/nc_cc.html#DataHandlerNCforCC.get_time_slice"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_time_slice" title="Link to this definition">#</a></dt>
+<dd><p>Get nsrdb data time slice consistent with self.time_index.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_clearsky_ghi">
+<span class="sig-name descname"><span class="pre">get_clearsky_ghi</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/data_handlers/nc_cc.html#DataHandlerNCforCC.get_clearsky_ghi"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_clearsky_ghi" title="Link to this definition">#</a></dt>
+<dd><p>Get clearsky ghi from an exogenous NSRDB source h5 file at the
+target CC meta data and time index.</p>
+<p>TODO: Replace some of this with call to Regridder? Perform daily
+means with self.loader.coarsen?</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>cs_ghi</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – Clearsky ghi (W/m2) from the nsrdb_source_fp h5 source file. Data
+shape is (lat, lon, time) where time is daily average values.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.check_registry">
+<span class="sig-name descname"><span class="pre">check_registry</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.check_registry" title="Link to this definition">#</a></dt>
+<dd><p>Get compute method from the registry if available. Will check for
+pattern feature match in feature registry. e.g. if u_100m matches a
+feature registry entry of u_(.*)m</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.wrap" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.derive">
+<span class="sig-name descname"><span class="pre">derive</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.derive" title="Link to this definition">#</a></dt>
+<dd><p>Routine to derive requested features. Employs a little recursion to
+locate differently named features with a name map in the feature
+registry. i.e. if  <cite>FEATURE_REGISTRY</cite> contains a key, value pair like
+“windspeed”: “wind_speed” then requesting “windspeed” will ultimately
+return a compute method (or fetch from raw data) for “wind_speed</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Features are all saved as lower case names and __contains__ checks will
+use feature.lower()</p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.do_level_interpolation">
+<span class="sig-name descname"><span class="pre">do_level_interpolation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interp_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">DataArray</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.do_level_interpolation" title="Link to this definition">#</a></dt>
+<dd><p>Interpolate over height or pressure to derive the given feature.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_inputs">
+<span class="sig-name descname"><span class="pre">get_inputs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_inputs" title="Link to this definition">#</a></dt>
+<dd><p>Get inputs for the given feature and inputs for those inputs.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_multi_level_data">
+<span class="sig-name descname"><span class="pre">get_multi_level_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_multi_level_data" title="Link to this definition">#</a></dt>
+<dd><p>Get data stored in multi-level arrays, like u stored on pressure
+levels.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_single_level_data">
+<span class="sig-name descname"><span class="pre">get_single_level_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_single_level_data" title="Link to this definition">#</a></dt>
+<dd><p>When doing level interpolation we should include the single level
+data available. e.g. If we have u_100m already and want to interpolate
+u_40m from multi-level data U we should add u_100m at height 100m
+before doing interpolation, since 100 could be a closer level to 40m
+than those available in U.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.has_interp_variables">
+<span class="sig-name descname"><span class="pre">has_interp_variables</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.has_interp_variables" title="Link to this definition">#</a></dt>
+<dd><p>Check if the given feature can be interpolated from values at nearby
+heights or from pressure level data. e.g. If <code class="docutils literal notranslate"><span class="pre">u_10m</span></code> and <code class="docutils literal notranslate"><span class="pre">u_50m</span></code>
+exist then <code class="docutils literal notranslate"><span class="pre">u_30m</span></code> can be interpolated from these. If a pressure
+level array <code class="docutils literal notranslate"><span class="pre">u</span></code> is available this can also be used, in conjunction
+with height data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.map_new_name">
+<span class="sig-name descname"><span class="pre">map_new_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pattern</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.map_new_name" title="Link to this definition">#</a></dt>
+<dd><p>If the search for a derivation method first finds an alternative
+name for the feature we want to derive, by matching a wildcard pattern,
+we need to replace the wildcard with the specific height or pressure we
+want and continue the search for a derivation method with this new
+name.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.no_overlap">
+<span class="sig-name descname"><span class="pre">no_overlap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.no_overlap" title="Link to this definition">#</a></dt>
+<dd><p>Check if any of the nested inputs for ‘feature’ contain ‘feature’</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.run_input_checks"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.run_input_checks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.run_wrap_checks"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.run_wrap_checks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_time_slice"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.get_time_slice()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_clearsky_ghi"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.get_clearsky_ghi()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.check_registry"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.check_registry()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.data"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.derive"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.derive()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.do_level_interpolation"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.do_level_interpolation()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_inputs"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.get_inputs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_multi_level_data"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.get_multi_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_single_level_data"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.get_single_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.has_interp_variables"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.has_interp_variables()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.map_new_name"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.map_new_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.no_overlap"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.no_overlap()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.post_init_log"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.shape"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.wrap"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCC.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
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diff --git a/_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.html b/_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.html
new file mode 100644
index 000000000..73d5aab5b
--- /dev/null
+++ b/_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.html
@@ -0,0 +1,1085 @@
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+    <h1>sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
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+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.check_registry"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.check_registry()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.data"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.derive"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.derive()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.do_level_interpolation"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.do_level_interpolation()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_clearsky_ghi"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.get_clearsky_ghi()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_inputs"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.get_inputs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_multi_level_data"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.get_multi_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_single_level_data"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.get_single_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_time_slice"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.get_time_slice()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.has_interp_variables"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.has_interp_variables()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.map_new_name"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.map_new_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.no_overlap"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.no_overlap()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.post_init_log"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.run_input_checks"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.run_input_checks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.run_wrap_checks"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.run_wrap_checks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.shape"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.wrap"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
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+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-data-handlers-nc-cc-datahandlerncforccwithpowerlaw">
+<h1>sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw<a class="headerlink" href="#sup3r-preprocessing-data-handlers-nc-cc-datahandlerncforccwithpowerlaw" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">DataHandlerNCforCCwithPowerLaw</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nsrdb_source_fp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nsrdb_agg</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nsrdb_smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">res_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_slice</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">slice(None,</span> <span class="pre">None,</span> <span class="pre">None)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_roll</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_shift</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hr_spatial_coarsen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nan_method_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interp_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/data_handlers/nc_cc.html#DataHandlerNCforCCwithPowerLaw"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataHandlerNCforCC</span></code></a></p>
+<p>Add power law wind methods to feature registry.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_paths</strong> (<em>str | list | pathlib.Path</em>) – file_paths input to LoaderClass</p></li>
+<li><p><strong>features</strong> (<em>list | str</em>) – Features to load and / or derive. If ‘all’ then all available raw
+features will be loaded. Specify explicit feature names for
+derivations.</p></li>
+<li><p><strong>nsrdb_source_fp</strong> (<em>str | None</em>) – Optional NSRDB source h5 file to retrieve clearsky_ghi from to
+calculate CC clearsky_ratio along with rsds (ghi) from the CC
+netcdf file.</p></li>
+<li><p><strong>nsrdb_agg</strong> (<em>int</em>) – Optional number of NSRDB source pixels to aggregate clearsky_ghi
+from to a single climate change netcdf pixel. This can be used if
+the CC.nc data is at a much coarser resolution than the source
+nsrdb data.</p></li>
+<li><p><strong>nsrdb_smoothing</strong> (<em>float</em>) – Optional gaussian filter smoothing factor to smooth out
+clearsky_ghi from high-resolution nsrdb source data. This is
+typically done because spatially aggregated nsrdb data is still
+usually rougher than CC irradiance data.</p></li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Dictionary of additional keyword args for
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code>, used
+specifically for rasterizing flattened data</p></li>
+<li><p><strong>res_kwargs</strong> (<em>dict</em>) – Additional keyword arguments passed through to the <code class="docutils literal notranslate"><span class="pre">BaseLoader</span></code>.
+BaseLoader is usually xr.open_mfdataset for NETCDF files and
+MultiFileResourceX for H5 files.</p></li>
+<li><p><strong>chunks</strong> (<em>dict | str</em>) – Dictionary of chunk sizes to pass through to
+<code class="docutils literal notranslate"><span class="pre">dask.array.from_array()</span></code> or <code class="docutils literal notranslate"><span class="pre">xr.Dataset().chunk()</span></code>. Will be
+converted to a tuple when used in <code class="docutils literal notranslate"><span class="pre">from_array()</span></code>. These are the
+methods for H5 and NETCDF data, respectively. This argument can
+be “auto” or None in addition to a dictionary. None will not do
+any chunking and load data into memory as <code class="docutils literal notranslate"><span class="pre">np.array</span></code></p></li>
+<li><p><strong>target</strong> (<em>tuple</em>) – (lat, lon) lower left corner of raster. Either need target+shape
+or raster_file.</p></li>
+<li><p><strong>shape</strong> (<em>tuple</em>) – (rows, cols) grid size. Either need target+shape or raster_file.</p></li>
+<li><p><strong>time_slice</strong> (<em>slice | list</em>) – Slice specifying extent and step of temporal extraction. e.g.
+slice(start, stop, step). If equal to slice(None, None, 1) the full
+time dimension is selected. Can be also be a list <code class="docutils literal notranslate"><span class="pre">[start,</span> <span class="pre">stop,</span>
+<span class="pre">step]</span></code></p></li>
+<li><p><strong>threshold</strong> (<em>float</em>) – Nearest neighbor euclidean distance threshold. If the coordinates
+are more than this value away from the target lat/lon, an error is
+raised.</p></li>
+<li><p><strong>time_roll</strong> (<em>int</em>) – Number of steps to roll along the time axis. <cite>Passed to
+xr.Dataset.roll()</cite></p></li>
+<li><p><strong>time_shift</strong> (<em>int | None</em>) – Number of minutes to shift time axis. This can be used, for
+example, to shift the time index for daily data so that the time
+stamp for a given day starts at the zeroth minute instead of at
+noon, as is the case for most GCM data.</p></li>
+<li><p><strong>hr_spatial_coarsen</strong> (<em>int</em>) – Spatial coarsening factor. Passed to <cite>xr.Dataset.coarsen()</cite></p></li>
+<li><p><strong>nan_method_kwargs</strong> (<em>str | dict | None</em>) – Keyword arguments for nan handling. If ‘mask’, time steps with nans
+will be dropped. Otherwise this should be a dict of kwargs which
+will be passed to
+<a class="reference internal" href="sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.interpolate_na" title="sup3r.preprocessing.accessor.Sup3rX.interpolate_na"><code class="xref py py-meth docutils literal notranslate"><span class="pre">sup3r.preprocessing.accessor.Sup3rX.interpolate_na()</span></code></a>.</p></li>
+<li><p><strong>interp_kwargs</strong> (<em>dict | None</em>) – Dictionary of kwargs for level interpolation. Can include “method”
+and “run_level_check” keys. Method specifies how to perform height
+interpolation. e.g. Deriving u_20m from u_10m and u_100m. Options
+are “linear” and “log”. See
+<code class="xref py py-meth docutils literal notranslate"><span class="pre">sup3r.preprocessing.derivers.Deriver.do_level_interpolation()</span></code></p></li>
+<li><p><strong>cache_kwargs</strong> (<em>dict | None</em>) – Dictionary with kwargs for caching wrangled data. This should at
+minimum include a <cite>cache_pattern</cite> key, value. This pattern must
+have a {feature} format key and either a h5 or nc file extension,
+based on desired output type. See class:<cite>Cacher</cite> for description
+of more arguments.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.check_registry" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.check_registry"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_registry</span></code></a>(feature)</p></td>
+<td><p>Get compute method from the registry if available.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.derive" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.derive"><code class="xref py py-obj docutils literal notranslate"><span class="pre">derive</span></code></a>(feature)</p></td>
+<td><p>Routine to derive requested features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.do_level_interpolation" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.do_level_interpolation"><code class="xref py py-obj docutils literal notranslate"><span class="pre">do_level_interpolation</span></code></a>(feature[, interp_kwargs])</p></td>
+<td><p>Interpolate over height or pressure to derive the given feature.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_clearsky_ghi" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_clearsky_ghi"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_clearsky_ghi</span></code></a>()</p></td>
+<td><p>Get clearsky ghi from an exogenous NSRDB source h5 file at the target CC meta data and time index.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_inputs" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_inputs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_inputs</span></code></a>(feature)</p></td>
+<td><p>Get inputs for the given feature and inputs for those inputs.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_multi_level_data" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_multi_level_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_multi_level_data</span></code></a>(feature)</p></td>
+<td><p>Get data stored in multi-level arrays, like u stored on pressure levels.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_single_level_data" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_single_level_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_single_level_data</span></code></a>(feature)</p></td>
+<td><p>When doing level interpolation we should include the single level data available.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_time_slice" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_time_slice"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_time_slice</span></code></a>(ti_nsrdb)</p></td>
+<td><p>Get nsrdb data time slice consistent with self.time_index.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.has_interp_variables" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.has_interp_variables"><code class="xref py py-obj docutils literal notranslate"><span class="pre">has_interp_variables</span></code></a>(feature)</p></td>
+<td><p>Check if the given feature can be interpolated from values at nearby heights or from pressure level data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.map_new_name" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.map_new_name"><code class="xref py py-obj docutils literal notranslate"><span class="pre">map_new_name</span></code></a>(feature, pattern)</p></td>
+<td><p>If the search for a derivation method first finds an alternative name for the feature we want to derive, by matching a wildcard pattern, we need to replace the wildcard with the specific height or pressure we want and continue the search for a derivation method with this new name.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.no_overlap" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.no_overlap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">no_overlap</span></code></a>(feature)</p></td>
+<td><p>Check if any of the nested inputs for 'feature' contain 'feature'</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.post_init_log" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.run_input_checks" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.run_input_checks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run_input_checks</span></code></a>()</p></td>
+<td><p>Run checks on the files provided for extracting clearsky_ghi.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.run_wrap_checks" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.run_wrap_checks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run_wrap_checks</span></code></a>(cs_ghi)</p></td>
+<td><p>Run check on rasterized data from clearsky_ghi source.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.wrap" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">BASE_LOADER</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">FEATURE_REGISTRY</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.data" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.shape" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.check_registry">
+<span class="sig-name descname"><span class="pre">check_registry</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.check_registry" title="Link to this definition">#</a></dt>
+<dd><p>Get compute method from the registry if available. Will check for
+pattern feature match in feature registry. e.g. if u_100m matches a
+feature registry entry of u_(.*)m</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.wrap" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.derive">
+<span class="sig-name descname"><span class="pre">derive</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.derive" title="Link to this definition">#</a></dt>
+<dd><p>Routine to derive requested features. Employs a little recursion to
+locate differently named features with a name map in the feature
+registry. i.e. if  <cite>FEATURE_REGISTRY</cite> contains a key, value pair like
+“windspeed”: “wind_speed” then requesting “windspeed” will ultimately
+return a compute method (or fetch from raw data) for “wind_speed</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Features are all saved as lower case names and __contains__ checks will
+use feature.lower()</p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.do_level_interpolation">
+<span class="sig-name descname"><span class="pre">do_level_interpolation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interp_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">DataArray</span></span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.do_level_interpolation" title="Link to this definition">#</a></dt>
+<dd><p>Interpolate over height or pressure to derive the given feature.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_clearsky_ghi">
+<span class="sig-name descname"><span class="pre">get_clearsky_ghi</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_clearsky_ghi" title="Link to this definition">#</a></dt>
+<dd><p>Get clearsky ghi from an exogenous NSRDB source h5 file at the
+target CC meta data and time index.</p>
+<p>TODO: Replace some of this with call to Regridder? Perform daily
+means with self.loader.coarsen?</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>cs_ghi</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – Clearsky ghi (W/m2) from the nsrdb_source_fp h5 source file. Data
+shape is (lat, lon, time) where time is daily average values.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_inputs">
+<span class="sig-name descname"><span class="pre">get_inputs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_inputs" title="Link to this definition">#</a></dt>
+<dd><p>Get inputs for the given feature and inputs for those inputs.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_multi_level_data">
+<span class="sig-name descname"><span class="pre">get_multi_level_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_multi_level_data" title="Link to this definition">#</a></dt>
+<dd><p>Get data stored in multi-level arrays, like u stored on pressure
+levels.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_single_level_data">
+<span class="sig-name descname"><span class="pre">get_single_level_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_single_level_data" title="Link to this definition">#</a></dt>
+<dd><p>When doing level interpolation we should include the single level
+data available. e.g. If we have u_100m already and want to interpolate
+u_40m from multi-level data U we should add u_100m at height 100m
+before doing interpolation, since 100 could be a closer level to 40m
+than those available in U.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_time_slice">
+<span class="sig-name descname"><span class="pre">get_time_slice</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ti_nsrdb</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_time_slice" title="Link to this definition">#</a></dt>
+<dd><p>Get nsrdb data time slice consistent with self.time_index.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.has_interp_variables">
+<span class="sig-name descname"><span class="pre">has_interp_variables</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.has_interp_variables" title="Link to this definition">#</a></dt>
+<dd><p>Check if the given feature can be interpolated from values at nearby
+heights or from pressure level data. e.g. If <code class="docutils literal notranslate"><span class="pre">u_10m</span></code> and <code class="docutils literal notranslate"><span class="pre">u_50m</span></code>
+exist then <code class="docutils literal notranslate"><span class="pre">u_30m</span></code> can be interpolated from these. If a pressure
+level array <code class="docutils literal notranslate"><span class="pre">u</span></code> is available this can also be used, in conjunction
+with height data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.map_new_name">
+<span class="sig-name descname"><span class="pre">map_new_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pattern</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.map_new_name" title="Link to this definition">#</a></dt>
+<dd><p>If the search for a derivation method first finds an alternative
+name for the feature we want to derive, by matching a wildcard pattern,
+we need to replace the wildcard with the specific height or pressure we
+want and continue the search for a derivation method with this new
+name.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.no_overlap">
+<span class="sig-name descname"><span class="pre">no_overlap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.no_overlap" title="Link to this definition">#</a></dt>
+<dd><p>Check if any of the nested inputs for ‘feature’ contain ‘feature’</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.run_input_checks">
+<span class="sig-name descname"><span class="pre">run_input_checks</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.run_input_checks" title="Link to this definition">#</a></dt>
+<dd><p>Run checks on the files provided for extracting clearsky_ghi. Make
+sure the loaded data is daily data and the step size is one day.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.run_wrap_checks">
+<span class="sig-name descname"><span class="pre">run_wrap_checks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cs_ghi</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.run_wrap_checks" title="Link to this definition">#</a></dt>
+<dd><p>Run check on rasterized data from clearsky_ghi source.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
+              
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.check_registry"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.check_registry()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.data"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.derive"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.derive()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.do_level_interpolation"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.do_level_interpolation()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_clearsky_ghi"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.get_clearsky_ghi()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_inputs"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.get_inputs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_multi_level_data"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.get_multi_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_single_level_data"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.get_single_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_time_slice"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.get_time_slice()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.has_interp_variables"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.has_interp_variables()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.map_new_name"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.map_new_name()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.post_init_log"><code class="docutils literal notranslate"><span class="pre">DataHandlerNCforCCwithPowerLaw.post_init_log()</span></code></a></li>
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+  <section id="module-sup3r.preprocessing.data_handlers.nc_cc">
+<span id="sup3r-preprocessing-data-handlers-nc-cc"></span><h1>sup3r.preprocessing.data_handlers.nc_cc<a class="headerlink" href="#module-sup3r.preprocessing.data_handlers.nc_cc" title="Link to this heading">#</a></h1>
+<p>NETCDF DataHandler for climate change applications.</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC" title="sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataHandlerNCforCC</span></code></a>(file_paths, *[, ...])</p></td>
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+    <h1>sup3r.preprocessing.derivers.base.BaseDeriver</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver"><code class="docutils literal notranslate"><span class="pre">BaseDeriver</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.data"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.get_inputs"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.get_inputs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.no_overlap"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.no_overlap()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.check_registry"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.check_registry()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.map_new_name"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.map_new_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.has_interp_variables"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.has_interp_variables()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.derive"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.derive()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.get_single_level_data"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.get_single_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.get_multi_level_data"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.get_multi_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.do_level_interpolation"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.do_level_interpolation()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.post_init_log"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.shape"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.wrap"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
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+
+              
+                
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+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-derivers-base-basederiver">
+<h1>sup3r.preprocessing.derivers.base.BaseDeriver<a class="headerlink" href="#sup3r-preprocessing-derivers-base-basederiver" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.BaseDeriver">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">BaseDeriver</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX" title="sup3r.preprocessing.accessor.Sup3rX"><span class="pre">Sup3rX</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><span class="pre">Sup3rDataset</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">FeatureRegistry</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interp_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/base.html#BaseDeriver"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.base.BaseDeriver" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a></p>
+<p>Container subclass with additional methods for transforming / deriving
+data exposed through an <code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code> object.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union[Sup3rX, Sup3rDataset]</em>) – Data to use for derivations. Usually comes from the <cite>.data</cite>
+attribute of a <code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code> object.</p></li>
+<li><p><strong>features</strong> (<em>list</em>) – List of feature names to derive from the <code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code> data.
+The <code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code> object contains the features available to
+use in the derivation. e.g. rasterizer.features = [‘windspeed’,
+‘winddirection’] with self.features = [‘U’, ‘V’]</p></li>
+<li><p><strong>FeatureRegistry</strong> (<em>Dict</em>) – Optional FeatureRegistry dictionary to use for derivation method
+lookups. When the <a class="reference internal" href="sup3r.preprocessing.derivers.base.Deriver.html#sup3r.preprocessing.derivers.base.Deriver" title="sup3r.preprocessing.derivers.base.Deriver"><code class="xref py py-class docutils literal notranslate"><span class="pre">Deriver</span></code></a> is asked to derive a feature
+that is not found in the <code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code> data it will look for
+a method to derive the feature in the registry.</p></li>
+<li><p><strong>interp_kwargs</strong> (<em>dict | None</em>) – Dictionary of kwargs for level interpolation. Can include “method”
+and “run_level_check” keys. Method specifies how to perform height
+interpolation. e.g. Deriving u_20m from u_10m and u_100m. Options
+are “linear” and “log”. See
+<code class="xref py py-meth docutils literal notranslate"><span class="pre">sup3r.preprocessing.derivers.Deriver.do_level_interpolation()</span></code></p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.BaseDeriver.check_registry" title="sup3r.preprocessing.derivers.base.BaseDeriver.check_registry"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_registry</span></code></a>(feature)</p></td>
+<td><p>Get compute method from the registry if available.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.BaseDeriver.derive" title="sup3r.preprocessing.derivers.base.BaseDeriver.derive"><code class="xref py py-obj docutils literal notranslate"><span class="pre">derive</span></code></a>(feature)</p></td>
+<td><p>Routine to derive requested features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.BaseDeriver.do_level_interpolation" title="sup3r.preprocessing.derivers.base.BaseDeriver.do_level_interpolation"><code class="xref py py-obj docutils literal notranslate"><span class="pre">do_level_interpolation</span></code></a>(feature[, interp_kwargs])</p></td>
+<td><p>Interpolate over height or pressure to derive the given feature.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.BaseDeriver.get_inputs" title="sup3r.preprocessing.derivers.base.BaseDeriver.get_inputs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_inputs</span></code></a>(feature)</p></td>
+<td><p>Get inputs for the given feature and inputs for those inputs.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.BaseDeriver.get_multi_level_data" title="sup3r.preprocessing.derivers.base.BaseDeriver.get_multi_level_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_multi_level_data</span></code></a>(feature)</p></td>
+<td><p>Get data stored in multi-level arrays, like u stored on pressure levels.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.BaseDeriver.get_single_level_data" title="sup3r.preprocessing.derivers.base.BaseDeriver.get_single_level_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_single_level_data</span></code></a>(feature)</p></td>
+<td><p>When doing level interpolation we should include the single level data available.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.BaseDeriver.has_interp_variables" title="sup3r.preprocessing.derivers.base.BaseDeriver.has_interp_variables"><code class="xref py py-obj docutils literal notranslate"><span class="pre">has_interp_variables</span></code></a>(feature)</p></td>
+<td><p>Check if the given feature can be interpolated from values at nearby heights or from pressure level data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.BaseDeriver.map_new_name" title="sup3r.preprocessing.derivers.base.BaseDeriver.map_new_name"><code class="xref py py-obj docutils literal notranslate"><span class="pre">map_new_name</span></code></a>(feature, pattern)</p></td>
+<td><p>If the search for a derivation method first finds an alternative name for the feature we want to derive, by matching a wildcard pattern, we need to replace the wildcard with the specific height or pressure we want and continue the search for a derivation method with this new name.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.BaseDeriver.no_overlap" title="sup3r.preprocessing.derivers.base.BaseDeriver.no_overlap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">no_overlap</span></code></a>(feature)</p></td>
+<td><p>Check if any of the nested inputs for 'feature' contain 'feature'</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.BaseDeriver.post_init_log" title="sup3r.preprocessing.derivers.base.BaseDeriver.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.BaseDeriver.wrap" title="sup3r.preprocessing.derivers.base.BaseDeriver.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">FEATURE_REGISTRY</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.BaseDeriver.data" title="sup3r.preprocessing.derivers.base.BaseDeriver.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.BaseDeriver.shape" title="sup3r.preprocessing.derivers.base.BaseDeriver.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.BaseDeriver.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.derivers.base.BaseDeriver.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.BaseDeriver.wrap" title="sup3r.preprocessing.derivers.base.BaseDeriver.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.BaseDeriver.get_inputs">
+<span class="sig-name descname"><span class="pre">get_inputs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/base.html#BaseDeriver.get_inputs"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.base.BaseDeriver.get_inputs" title="Link to this definition">#</a></dt>
+<dd><p>Get inputs for the given feature and inputs for those inputs.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.BaseDeriver.no_overlap">
+<span class="sig-name descname"><span class="pre">no_overlap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/base.html#BaseDeriver.no_overlap"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.base.BaseDeriver.no_overlap" title="Link to this definition">#</a></dt>
+<dd><p>Check if any of the nested inputs for ‘feature’ contain ‘feature’</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.BaseDeriver.check_registry">
+<span class="sig-name descname"><span class="pre">check_registry</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/base.html#BaseDeriver.check_registry"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.base.BaseDeriver.check_registry" title="Link to this definition">#</a></dt>
+<dd><p>Get compute method from the registry if available. Will check for
+pattern feature match in feature registry. e.g. if u_100m matches a
+feature registry entry of u_(.*)m</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.BaseDeriver.map_new_name">
+<span class="sig-name descname"><span class="pre">map_new_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pattern</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/base.html#BaseDeriver.map_new_name"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.base.BaseDeriver.map_new_name" title="Link to this definition">#</a></dt>
+<dd><p>If the search for a derivation method first finds an alternative
+name for the feature we want to derive, by matching a wildcard pattern,
+we need to replace the wildcard with the specific height or pressure we
+want and continue the search for a derivation method with this new
+name.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.BaseDeriver.has_interp_variables">
+<span class="sig-name descname"><span class="pre">has_interp_variables</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/base.html#BaseDeriver.has_interp_variables"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.base.BaseDeriver.has_interp_variables" title="Link to this definition">#</a></dt>
+<dd><p>Check if the given feature can be interpolated from values at nearby
+heights or from pressure level data. e.g. If <code class="docutils literal notranslate"><span class="pre">u_10m</span></code> and <code class="docutils literal notranslate"><span class="pre">u_50m</span></code>
+exist then <code class="docutils literal notranslate"><span class="pre">u_30m</span></code> can be interpolated from these. If a pressure
+level array <code class="docutils literal notranslate"><span class="pre">u</span></code> is available this can also be used, in conjunction
+with height data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.BaseDeriver.derive">
+<span class="sig-name descname"><span class="pre">derive</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span></span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/base.html#BaseDeriver.derive"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.base.BaseDeriver.derive" title="Link to this definition">#</a></dt>
+<dd><p>Routine to derive requested features. Employs a little recursion to
+locate differently named features with a name map in the feature
+registry. i.e. if  <cite>FEATURE_REGISTRY</cite> contains a key, value pair like
+“windspeed”: “wind_speed” then requesting “windspeed” will ultimately
+return a compute method (or fetch from raw data) for “wind_speed</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Features are all saved as lower case names and __contains__ checks will
+use feature.lower()</p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.BaseDeriver.get_single_level_data">
+<span class="sig-name descname"><span class="pre">get_single_level_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/base.html#BaseDeriver.get_single_level_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.base.BaseDeriver.get_single_level_data" title="Link to this definition">#</a></dt>
+<dd><p>When doing level interpolation we should include the single level
+data available. e.g. If we have u_100m already and want to interpolate
+u_40m from multi-level data U we should add u_100m at height 100m
+before doing interpolation, since 100 could be a closer level to 40m
+than those available in U.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.BaseDeriver.get_multi_level_data">
+<span class="sig-name descname"><span class="pre">get_multi_level_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/base.html#BaseDeriver.get_multi_level_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.base.BaseDeriver.get_multi_level_data" title="Link to this definition">#</a></dt>
+<dd><p>Get data stored in multi-level arrays, like u stored on pressure
+levels.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.BaseDeriver.do_level_interpolation">
+<span class="sig-name descname"><span class="pre">do_level_interpolation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interp_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">DataArray</span></span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/base.html#BaseDeriver.do_level_interpolation"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.base.BaseDeriver.do_level_interpolation" title="Link to this definition">#</a></dt>
+<dd><p>Interpolate over height or pressure to derive the given feature.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.BaseDeriver.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.derivers.base.BaseDeriver.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.BaseDeriver.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.derivers.base.BaseDeriver.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.BaseDeriver.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.derivers.base.BaseDeriver.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver"><code class="docutils literal notranslate"><span class="pre">BaseDeriver</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.data"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.get_inputs"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.get_inputs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.no_overlap"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.no_overlap()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.check_registry"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.check_registry()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.map_new_name"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.map_new_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.has_interp_variables"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.has_interp_variables()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.derive"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.derive()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.get_single_level_data"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.get_single_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.get_multi_level_data"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.get_multi_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.do_level_interpolation"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.do_level_interpolation()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.post_init_log"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.shape"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.BaseDeriver.wrap"><code class="docutils literal notranslate"><span class="pre">BaseDeriver.wrap()</span></code></a></li>
+</ul>
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+    <h1>sup3r.preprocessing.derivers.base.Deriver</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver"><code class="docutils literal notranslate"><span class="pre">Deriver</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.check_registry"><code class="docutils literal notranslate"><span class="pre">Deriver.check_registry()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.derive"><code class="docutils literal notranslate"><span class="pre">Deriver.derive()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.do_level_interpolation"><code class="docutils literal notranslate"><span class="pre">Deriver.do_level_interpolation()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.get_inputs"><code class="docutils literal notranslate"><span class="pre">Deriver.get_inputs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.get_multi_level_data"><code class="docutils literal notranslate"><span class="pre">Deriver.get_multi_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.get_single_level_data"><code class="docutils literal notranslate"><span class="pre">Deriver.get_single_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.has_interp_variables"><code class="docutils literal notranslate"><span class="pre">Deriver.has_interp_variables()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.map_new_name"><code class="docutils literal notranslate"><span class="pre">Deriver.map_new_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.no_overlap"><code class="docutils literal notranslate"><span class="pre">Deriver.no_overlap()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.post_init_log"><code class="docutils literal notranslate"><span class="pre">Deriver.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.shape"><code class="docutils literal notranslate"><span class="pre">Deriver.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.wrap"><code class="docutils literal notranslate"><span class="pre">Deriver.wrap()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.data"><code class="docutils literal notranslate"><span class="pre">Deriver.data</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-derivers-base-deriver">
+<h1>sup3r.preprocessing.derivers.base.Deriver<a class="headerlink" href="#sup3r-preprocessing-derivers-base-deriver" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.Deriver">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Deriver</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX" title="sup3r.preprocessing.accessor.Sup3rX"><span class="pre">Sup3rX</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><span class="pre">Sup3rDataset</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_roll</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_shift</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hr_spatial_coarsen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nan_method_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">FeatureRegistry</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interp_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/base.html#Deriver"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.base.Deriver" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver" title="sup3r.preprocessing.derivers.base.BaseDeriver"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseDeriver</span></code></a></p>
+<p>Extends base <a class="reference internal" href="sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver" title="sup3r.preprocessing.derivers.base.BaseDeriver"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseDeriver</span></code></a> class with time_roll and
+hr_spatial_coarsen args.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union[Sup3rX, Sup3rDataset]</em>) – Data used for derivations</p></li>
+<li><p><strong>features</strong> (<em>list</em>) – List of features to derive</p></li>
+<li><p><strong>time_roll</strong> (<em>int</em>) – Number of steps to roll along the time axis. <cite>Passed to
+xr.Dataset.roll()</cite></p></li>
+<li><p><strong>time_shift</strong> (<em>int | None</em>) – Number of minutes to shift time axis. This can be used, for
+example, to shift the time index for daily data so that the time
+stamp for a given day starts at the zeroth minute instead of at
+noon, as is the case for most GCM data.</p></li>
+<li><p><strong>hr_spatial_coarsen</strong> (<em>int</em>) – Spatial coarsening factor. Passed to <cite>xr.Dataset.coarsen()</cite></p></li>
+<li><p><strong>nan_method_kwargs</strong> (<em>str | dict | None</em>) – Keyword arguments for nan handling. If ‘mask’, time steps with nans
+will be dropped. Otherwise this should be a dict of kwargs which
+will be passed to <code class="xref py py-meth docutils literal notranslate"><span class="pre">Sup3rX.interpolate_na()</span></code>.</p></li>
+<li><p><strong>FeatureRegistry</strong> (<em>dict</em>) – Dictionary of <code class="xref py py-class docutils literal notranslate"><span class="pre">DerivedFeature</span></code> objects used for derivations</p></li>
+<li><p><strong>interp_kwargs</strong> (<em>dict | None</em>) – Dictionary of kwargs for level interpolation. Can include “method”
+and “run_level_check” keys. Method specifies how to perform height
+interpolation. e.g. Deriving u_20m from u_10m and u_100m. Options
+are “linear” and “log”. See
+<code class="xref py py-meth docutils literal notranslate"><span class="pre">sup3r.preprocessing.derivers.Deriver.do_level_interpolation()</span></code></p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.Deriver.check_registry" title="sup3r.preprocessing.derivers.base.Deriver.check_registry"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_registry</span></code></a>(feature)</p></td>
+<td><p>Get compute method from the registry if available.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.Deriver.derive" title="sup3r.preprocessing.derivers.base.Deriver.derive"><code class="xref py py-obj docutils literal notranslate"><span class="pre">derive</span></code></a>(feature)</p></td>
+<td><p>Routine to derive requested features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.Deriver.do_level_interpolation" title="sup3r.preprocessing.derivers.base.Deriver.do_level_interpolation"><code class="xref py py-obj docutils literal notranslate"><span class="pre">do_level_interpolation</span></code></a>(feature[, interp_kwargs])</p></td>
+<td><p>Interpolate over height or pressure to derive the given feature.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.Deriver.get_inputs" title="sup3r.preprocessing.derivers.base.Deriver.get_inputs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_inputs</span></code></a>(feature)</p></td>
+<td><p>Get inputs for the given feature and inputs for those inputs.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.Deriver.get_multi_level_data" title="sup3r.preprocessing.derivers.base.Deriver.get_multi_level_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_multi_level_data</span></code></a>(feature)</p></td>
+<td><p>Get data stored in multi-level arrays, like u stored on pressure levels.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.Deriver.get_single_level_data" title="sup3r.preprocessing.derivers.base.Deriver.get_single_level_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_single_level_data</span></code></a>(feature)</p></td>
+<td><p>When doing level interpolation we should include the single level data available.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.Deriver.has_interp_variables" title="sup3r.preprocessing.derivers.base.Deriver.has_interp_variables"><code class="xref py py-obj docutils literal notranslate"><span class="pre">has_interp_variables</span></code></a>(feature)</p></td>
+<td><p>Check if the given feature can be interpolated from values at nearby heights or from pressure level data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.Deriver.map_new_name" title="sup3r.preprocessing.derivers.base.Deriver.map_new_name"><code class="xref py py-obj docutils literal notranslate"><span class="pre">map_new_name</span></code></a>(feature, pattern)</p></td>
+<td><p>If the search for a derivation method first finds an alternative name for the feature we want to derive, by matching a wildcard pattern, we need to replace the wildcard with the specific height or pressure we want and continue the search for a derivation method with this new name.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.Deriver.no_overlap" title="sup3r.preprocessing.derivers.base.Deriver.no_overlap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">no_overlap</span></code></a>(feature)</p></td>
+<td><p>Check if any of the nested inputs for 'feature' contain 'feature'</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.Deriver.post_init_log" title="sup3r.preprocessing.derivers.base.Deriver.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.Deriver.wrap" title="sup3r.preprocessing.derivers.base.Deriver.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">FEATURE_REGISTRY</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.Deriver.data" title="sup3r.preprocessing.derivers.base.Deriver.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.Deriver.shape" title="sup3r.preprocessing.derivers.base.Deriver.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.Deriver.check_registry">
+<span class="sig-name descname"><span class="pre">check_registry</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.derivers.base.Deriver.check_registry" title="Link to this definition">#</a></dt>
+<dd><p>Get compute method from the registry if available. Will check for
+pattern feature match in feature registry. e.g. if u_100m matches a
+feature registry entry of u_(.*)m</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.Deriver.derive">
+<span class="sig-name descname"><span class="pre">derive</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span></span></span><a class="headerlink" href="#sup3r.preprocessing.derivers.base.Deriver.derive" title="Link to this definition">#</a></dt>
+<dd><p>Routine to derive requested features. Employs a little recursion to
+locate differently named features with a name map in the feature
+registry. i.e. if  <cite>FEATURE_REGISTRY</cite> contains a key, value pair like
+“windspeed”: “wind_speed” then requesting “windspeed” will ultimately
+return a compute method (or fetch from raw data) for “wind_speed</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Features are all saved as lower case names and __contains__ checks will
+use feature.lower()</p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.Deriver.do_level_interpolation">
+<span class="sig-name descname"><span class="pre">do_level_interpolation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interp_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">DataArray</span></span></span><a class="headerlink" href="#sup3r.preprocessing.derivers.base.Deriver.do_level_interpolation" title="Link to this definition">#</a></dt>
+<dd><p>Interpolate over height or pressure to derive the given feature.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.Deriver.get_inputs">
+<span class="sig-name descname"><span class="pre">get_inputs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.derivers.base.Deriver.get_inputs" title="Link to this definition">#</a></dt>
+<dd><p>Get inputs for the given feature and inputs for those inputs.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.Deriver.get_multi_level_data">
+<span class="sig-name descname"><span class="pre">get_multi_level_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.derivers.base.Deriver.get_multi_level_data" title="Link to this definition">#</a></dt>
+<dd><p>Get data stored in multi-level arrays, like u stored on pressure
+levels.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.Deriver.get_single_level_data">
+<span class="sig-name descname"><span class="pre">get_single_level_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.derivers.base.Deriver.get_single_level_data" title="Link to this definition">#</a></dt>
+<dd><p>When doing level interpolation we should include the single level
+data available. e.g. If we have u_100m already and want to interpolate
+u_40m from multi-level data U we should add u_100m at height 100m
+before doing interpolation, since 100 could be a closer level to 40m
+than those available in U.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.Deriver.has_interp_variables">
+<span class="sig-name descname"><span class="pre">has_interp_variables</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.derivers.base.Deriver.has_interp_variables" title="Link to this definition">#</a></dt>
+<dd><p>Check if the given feature can be interpolated from values at nearby
+heights or from pressure level data. e.g. If <code class="docutils literal notranslate"><span class="pre">u_10m</span></code> and <code class="docutils literal notranslate"><span class="pre">u_50m</span></code>
+exist then <code class="docutils literal notranslate"><span class="pre">u_30m</span></code> can be interpolated from these. If a pressure
+level array <code class="docutils literal notranslate"><span class="pre">u</span></code> is available this can also be used, in conjunction
+with height data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.Deriver.map_new_name">
+<span class="sig-name descname"><span class="pre">map_new_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pattern</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.derivers.base.Deriver.map_new_name" title="Link to this definition">#</a></dt>
+<dd><p>If the search for a derivation method first finds an alternative
+name for the feature we want to derive, by matching a wildcard pattern,
+we need to replace the wildcard with the specific height or pressure we
+want and continue the search for a derivation method with this new
+name.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.Deriver.no_overlap">
+<span class="sig-name descname"><span class="pre">no_overlap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.derivers.base.Deriver.no_overlap" title="Link to this definition">#</a></dt>
+<dd><p>Check if any of the nested inputs for ‘feature’ contain ‘feature’</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.Deriver.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.derivers.base.Deriver.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.Deriver.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.derivers.base.Deriver.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.Deriver.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.derivers.base.Deriver.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.base.Deriver.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.derivers.base.Deriver.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.derivers.base.Deriver.wrap" title="sup3r.preprocessing.derivers.base.Deriver.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+</dd></dl>
+
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver"><code class="docutils literal notranslate"><span class="pre">Deriver</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.check_registry"><code class="docutils literal notranslate"><span class="pre">Deriver.check_registry()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.derive"><code class="docutils literal notranslate"><span class="pre">Deriver.derive()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.do_level_interpolation"><code class="docutils literal notranslate"><span class="pre">Deriver.do_level_interpolation()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.get_inputs"><code class="docutils literal notranslate"><span class="pre">Deriver.get_inputs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.get_multi_level_data"><code class="docutils literal notranslate"><span class="pre">Deriver.get_multi_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.get_single_level_data"><code class="docutils literal notranslate"><span class="pre">Deriver.get_single_level_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.has_interp_variables"><code class="docutils literal notranslate"><span class="pre">Deriver.has_interp_variables()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.map_new_name"><code class="docutils literal notranslate"><span class="pre">Deriver.map_new_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.no_overlap"><code class="docutils literal notranslate"><span class="pre">Deriver.no_overlap()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.post_init_log"><code class="docutils literal notranslate"><span class="pre">Deriver.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.shape"><code class="docutils literal notranslate"><span class="pre">Deriver.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.wrap"><code class="docutils literal notranslate"><span class="pre">Deriver.wrap()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.base.Deriver.data"><code class="docutils literal notranslate"><span class="pre">Deriver.data</span></code></a></li>
+</ul>
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+    <h1>sup3r.preprocessing.derivers.base</h1>
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+  <section id="module-sup3r.preprocessing.derivers.base">
+<span id="sup3r-preprocessing-derivers-base"></span><h1>sup3r.preprocessing.derivers.base<a class="headerlink" href="#module-sup3r.preprocessing.derivers.base" title="Link to this heading">#</a></h1>
+<p>Basic objects that can perform derivations of new features from loaded /
+rasterized features.</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver" title="sup3r.preprocessing.derivers.base.BaseDeriver"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseDeriver</span></code></a>(data, features[, ...])</p></td>
+<td><p>Container subclass with additional methods for transforming / deriving data exposed through an <code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code> object.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.base.Deriver.html#sup3r.preprocessing.derivers.base.Deriver" title="sup3r.preprocessing.derivers.base.Deriver"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Deriver</span></code></a>(data, features[, time_roll, ...])</p></td>
+<td><p>Extends base <a class="reference internal" href="sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver" title="sup3r.preprocessing.derivers.base.BaseDeriver"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseDeriver</span></code></a> class with time_roll and hr_spatial_coarsen args.</p></td>
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+  <section id="module-sup3r.preprocessing.derivers">
+<span id="sup3r-preprocessing-derivers"></span><h1>sup3r.preprocessing.derivers<a class="headerlink" href="#module-sup3r.preprocessing.derivers" title="Link to this heading">#</a></h1>
+<p>Loader subclass with methods for extracting and processing the contained
+data.</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.base.html#module-sup3r.preprocessing.derivers.base" title="sup3r.preprocessing.derivers.base"><code class="xref py py-obj docutils literal notranslate"><span class="pre">base</span></code></a></p></td>
+<td><p>Basic objects that can perform derivations of new features from loaded / rasterized features.</p></td>
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+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.methods.html#module-sup3r.preprocessing.derivers.methods" title="sup3r.preprocessing.derivers.methods"><code class="xref py py-obj docutils literal notranslate"><span class="pre">methods</span></code></a></p></td>
+<td><p>Derivation methods for deriving features from raw data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.utilities.html#module-sup3r.preprocessing.derivers.utilities" title="sup3r.preprocessing.derivers.utilities"><code class="xref py py-obj docutils literal notranslate"><span class="pre">utilities</span></code></a></p></td>
+<td><p>Miscellaneous utilities shared across the derivers module</p></td>
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+    <h1>sup3r.preprocessing.derivers.methods.ClearSkyRatio</h1>
+    <!-- Table of contents -->
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.ClearSkyRatio"><code class="docutils literal notranslate"><span class="pre">ClearSkyRatio</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.ClearSkyRatio.compute"><code class="docutils literal notranslate"><span class="pre">ClearSkyRatio.compute()</span></code></a></li>
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+  <section id="sup3r-preprocessing-derivers-methods-clearskyratio">
+<h1>sup3r.preprocessing.derivers.methods.ClearSkyRatio<a class="headerlink" href="#sup3r-preprocessing-derivers-methods-clearskyratio" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.ClearSkyRatio">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ClearSkyRatio</span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#ClearSkyRatio"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.ClearSkyRatio" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.derivers.methods.DerivedFeature.html#sup3r.preprocessing.derivers.methods.DerivedFeature" title="sup3r.preprocessing.derivers.methods.DerivedFeature"><code class="xref py py-class docutils literal notranslate"><span class="pre">DerivedFeature</span></code></a></p>
+<p>Clear Sky Ratio feature class. Inputs here are typically found in H5
+data like the NSRDB</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.methods.ClearSkyRatio.compute" title="sup3r.preprocessing.derivers.methods.ClearSkyRatio.compute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute</span></code></a>(data)</p></td>
+<td><p>Compute the clearsky ratio</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">inputs</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.ClearSkyRatio.compute">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#ClearSkyRatio.compute"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.ClearSkyRatio.compute" title="Link to this definition">#</a></dt>
+<dd><p>Compute the clearsky ratio</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>cs_ratio</strong> (<em>ndarray</em>) – Clearsky ratio, e.g. the all-sky ghi / the clearsky ghi. NaN where
+nighttime.</p>
+</dd>
+</dl>
+</dd></dl>
+
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+    <!-- Table of contents -->
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.ClearSkyRatioCC"><code class="docutils literal notranslate"><span class="pre">ClearSkyRatioCC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.ClearSkyRatioCC.compute"><code class="docutils literal notranslate"><span class="pre">ClearSkyRatioCC.compute()</span></code></a></li>
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+  <section id="sup3r-preprocessing-derivers-methods-clearskyratiocc">
+<h1>sup3r.preprocessing.derivers.methods.ClearSkyRatioCC<a class="headerlink" href="#sup3r-preprocessing-derivers-methods-clearskyratiocc" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.ClearSkyRatioCC">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ClearSkyRatioCC</span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#ClearSkyRatioCC"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.ClearSkyRatioCC" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.derivers.methods.DerivedFeature.html#sup3r.preprocessing.derivers.methods.DerivedFeature" title="sup3r.preprocessing.derivers.methods.DerivedFeature"><code class="xref py py-class docutils literal notranslate"><span class="pre">DerivedFeature</span></code></a></p>
+<p>Clear Sky Ratio feature class for computing from climate change netcdf
+data</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.methods.ClearSkyRatioCC.compute" title="sup3r.preprocessing.derivers.methods.ClearSkyRatioCC.compute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute</span></code></a>(data)</p></td>
+<td><p>Compute the daily average climate change clearsky ratio</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">inputs</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.ClearSkyRatioCC.compute">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#ClearSkyRatioCC.compute"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.ClearSkyRatioCC.compute" title="Link to this definition">#</a></dt>
+<dd><p>Compute the daily average climate change clearsky ratio</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>data</strong> (<em>Union[Sup3rX, Sup3rDataset]</em>) – xarray dataset used for this compuation, must include clearsky_ghi
+and rsds (rsds==ghi for cc datasets)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>cs_ratio</strong> (<em>ndarray</em>) – Clearsky ratio, e.g. the all-sky ghi / the clearsky ghi. This is
+assumed to be daily average data for climate change source data.</p>
+</dd>
+</dl>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.CloudMask.compute"><code class="docutils literal notranslate"><span class="pre">CloudMask.compute()</span></code></a></li>
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+  <section id="sup3r-preprocessing-derivers-methods-cloudmask">
+<h1>sup3r.preprocessing.derivers.methods.CloudMask<a class="headerlink" href="#sup3r-preprocessing-derivers-methods-cloudmask" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.CloudMask">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">CloudMask</span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#CloudMask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.CloudMask" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.derivers.methods.DerivedFeature.html#sup3r.preprocessing.derivers.methods.DerivedFeature" title="sup3r.preprocessing.derivers.methods.DerivedFeature"><code class="xref py py-class docutils literal notranslate"><span class="pre">DerivedFeature</span></code></a></p>
+<p>Cloud Mask feature class. Inputs here are typically found in H5 data
+like the NSRDB.</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.methods.CloudMask.compute" title="sup3r.preprocessing.derivers.methods.CloudMask.compute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute</span></code></a>(data)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">inputs</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.CloudMask.compute">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#CloudMask.compute"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.CloudMask.compute" title="Link to this definition">#</a></dt>
+<dd><dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>cloud_mask</strong> (<em>ndarray</em>) – Cloud mask, e.g. 1 where cloudy, 0 where clear. NaN where
+nighttime. Data is float32 so it can be normalized without any
+integer weirdness.</p>
+</dd>
+</dl>
+</dd></dl>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.CloudMask.compute"><code class="docutils literal notranslate"><span class="pre">CloudMask.compute()</span></code></a></li>
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+            <div>
+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.DerivedFeature"><code class="docutils literal notranslate"><span class="pre">DerivedFeature</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.DerivedFeature.compute"><code class="docutils literal notranslate"><span class="pre">DerivedFeature.compute()</span></code></a></li>
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+  <section id="sup3r-preprocessing-derivers-methods-derivedfeature">
+<h1>sup3r.preprocessing.derivers.methods.DerivedFeature<a class="headerlink" href="#sup3r-preprocessing-derivers-methods-derivedfeature" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.DerivedFeature">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">DerivedFeature</span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#DerivedFeature"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.DerivedFeature" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/abc.html#abc.ABC" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">ABC</span></code></a></p>
+<p>Abstract class for special features which need to be derived from raw
+features</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p><cite>inputs</cite> list will be used to search already derived / loaded data so this
+should include all features required for a successful <cite>.compute</cite> call.</p>
+</div>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.methods.DerivedFeature.compute" title="sup3r.preprocessing.derivers.methods.DerivedFeature.compute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute</span></code></a>(data, **kwargs)</p></td>
+<td><p>Compute method for derived feature.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">inputs</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.DerivedFeature.compute">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX" title="sup3r.preprocessing.accessor.Sup3rX"><span class="pre">Sup3rX</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><span class="pre">Sup3rDataset</span></a></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#DerivedFeature.compute"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.DerivedFeature.compute" title="Link to this definition">#</a></dt>
+<dd><p>Compute method for derived feature. This can use any of the features
+contained in the xr.Dataset data and the attributes (e.g.
+<cite>.lat_lon</cite>, <cite>.time_index</cite> accessed through Sup3rX accessor).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union[Sup3rX, Sup3rDataset]</em>) – Initialized and standardized through a <code class="xref py py-class docutils literal notranslate"><span class="pre">Loader</span></code> with a
+specific spatiotemporal extent rasterized for the features
+contained using a <code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code>.</p></li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Optional keyword arguments used in derivation. height is a typical
+example. Could also be pressure.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.PressureWRF"><code class="docutils literal notranslate"><span class="pre">PressureWRF</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.PressureWRF.compute"><code class="docutils literal notranslate"><span class="pre">PressureWRF.compute()</span></code></a></li>
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+  <section id="sup3r-preprocessing-derivers-methods-pressurewrf">
+<h1>sup3r.preprocessing.derivers.methods.PressureWRF<a class="headerlink" href="#sup3r-preprocessing-derivers-methods-pressurewrf" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.PressureWRF">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">PressureWRF</span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#PressureWRF"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.PressureWRF" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.derivers.methods.DerivedFeature.html#sup3r.preprocessing.derivers.methods.DerivedFeature" title="sup3r.preprocessing.derivers.methods.DerivedFeature"><code class="xref py py-class docutils literal notranslate"><span class="pre">DerivedFeature</span></code></a></p>
+<p>Pressure feature class for WRF data. Needed since P is perturbation
+pressure.</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.methods.PressureWRF.compute" title="sup3r.preprocessing.derivers.methods.PressureWRF.compute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute</span></code></a>(data, height)</p></td>
+<td><p>Method to compute pressure from NETCDF data</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">inputs</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.PressureWRF.compute">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">height</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#PressureWRF.compute"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.PressureWRF.compute" title="Link to this definition">#</a></dt>
+<dd><p>Method to compute pressure from NETCDF data</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
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+    <h1>sup3r.preprocessing.derivers.methods.SurfaceRH</h1>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.SurfaceRH"><code class="docutils literal notranslate"><span class="pre">SurfaceRH</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.SurfaceRH.compute"><code class="docutils literal notranslate"><span class="pre">SurfaceRH.compute()</span></code></a></li>
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+  <section id="sup3r-preprocessing-derivers-methods-surfacerh">
+<h1>sup3r.preprocessing.derivers.methods.SurfaceRH<a class="headerlink" href="#sup3r-preprocessing-derivers-methods-surfacerh" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.SurfaceRH">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">SurfaceRH</span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#SurfaceRH"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.SurfaceRH" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.derivers.methods.DerivedFeature.html#sup3r.preprocessing.derivers.methods.DerivedFeature" title="sup3r.preprocessing.derivers.methods.DerivedFeature"><code class="xref py py-class docutils literal notranslate"><span class="pre">DerivedFeature</span></code></a></p>
+<p>Surface Relative humidity feature for computing rh from dewpoint
+temperature and ambient temperature. This is in a 0 - 100 scale to match
+the ERA5 pressure level relative humidity scale.</p>
+<p><a class="reference external" href="https://earthscience.stackexchange.com/questions/24156/era5-single-level-calculate-relative-humidity">https://earthscience.stackexchange.com/questions/24156/era5-single-level-calculate-relative-humidity</a></p>
+<p><a class="reference external" href="https://journals.ametsoc.org/view/journals/bams/86/2/bams-86-2-225.xml?tab_body=pdf">https://journals.ametsoc.org/view/journals/bams/86/2/bams-86-2-225.xml?tab_body=pdf</a></p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.methods.SurfaceRH.compute" title="sup3r.preprocessing.derivers.methods.SurfaceRH.compute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute</span></code></a>(data)</p></td>
+<td><p>Compute surface relative humidity.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">inputs</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.SurfaceRH.compute">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#SurfaceRH.compute"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.SurfaceRH.compute" title="Link to this definition">#</a></dt>
+<dd><p>Compute surface relative humidity.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.Sza"><code class="docutils literal notranslate"><span class="pre">Sza</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.Sza.compute"><code class="docutils literal notranslate"><span class="pre">Sza.compute()</span></code></a></li>
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+  <section id="sup3r-preprocessing-derivers-methods-sza">
+<h1>sup3r.preprocessing.derivers.methods.Sza<a class="headerlink" href="#sup3r-preprocessing-derivers-methods-sza" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.Sza">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Sza</span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#Sza"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.Sza" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.derivers.methods.DerivedFeature.html#sup3r.preprocessing.derivers.methods.DerivedFeature" title="sup3r.preprocessing.derivers.methods.DerivedFeature"><code class="xref py py-class docutils literal notranslate"><span class="pre">DerivedFeature</span></code></a></p>
+<p>Solar zenith angle derived feature.</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.methods.Sza.compute" title="sup3r.preprocessing.derivers.methods.Sza.compute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute</span></code></a>(data)</p></td>
+<td><p>Compute method for sza.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">inputs</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.Sza.compute">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#Sza.compute"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.Sza.compute" title="Link to this definition">#</a></dt>
+<dd><p>Compute method for sza.</p>
+</dd></dl>
+
+</dd></dl>
+
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+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.Tas"><code class="docutils literal notranslate"><span class="pre">Tas</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.Tas.compute"><code class="docutils literal notranslate"><span class="pre">Tas.compute()</span></code></a></li>
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+  <section id="sup3r-preprocessing-derivers-methods-tas">
+<h1>sup3r.preprocessing.derivers.methods.Tas<a class="headerlink" href="#sup3r-preprocessing-derivers-methods-tas" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.Tas">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Tas</span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#Tas"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.Tas" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.derivers.methods.DerivedFeature.html#sup3r.preprocessing.derivers.methods.DerivedFeature" title="sup3r.preprocessing.derivers.methods.DerivedFeature"><code class="xref py py-class docutils literal notranslate"><span class="pre">DerivedFeature</span></code></a></p>
+<p>Air temperature near surface variable from climate change nc files</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.methods.Tas.compute" title="sup3r.preprocessing.derivers.methods.Tas.compute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute</span></code></a>(data)</p></td>
+<td><p>Method to compute tas in Celsius from tas source in Kelvin</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">inputs</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.Tas.compute">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#Tas.compute"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.Tas.compute" title="Link to this definition">#</a></dt>
+<dd><p>Method to compute tas in Celsius from tas source in Kelvin</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.TasMax.compute"><code class="docutils literal notranslate"><span class="pre">TasMax.compute()</span></code></a></li>
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+  <section id="sup3r-preprocessing-derivers-methods-tasmax">
+<h1>sup3r.preprocessing.derivers.methods.TasMax<a class="headerlink" href="#sup3r-preprocessing-derivers-methods-tasmax" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.TasMax">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">TasMax</span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#TasMax"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.TasMax" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.derivers.methods.Tas.html#sup3r.preprocessing.derivers.methods.Tas" title="sup3r.preprocessing.derivers.methods.Tas"><code class="xref py py-class docutils literal notranslate"><span class="pre">Tas</span></code></a></p>
+<p>Daily max air temperature near surface variable from climate change nc
+files</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.methods.TasMax.compute" title="sup3r.preprocessing.derivers.methods.TasMax.compute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute</span></code></a>(data)</p></td>
+<td><p>Method to compute tas in Celsius from tas source in Kelvin</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">inputs</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.TasMax.compute">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.TasMax.compute" title="Link to this definition">#</a></dt>
+<dd><p>Method to compute tas in Celsius from tas source in Kelvin</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.TasMin"><code class="docutils literal notranslate"><span class="pre">TasMin</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.TasMin.compute"><code class="docutils literal notranslate"><span class="pre">TasMin.compute()</span></code></a></li>
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+  <section id="sup3r-preprocessing-derivers-methods-tasmin">
+<h1>sup3r.preprocessing.derivers.methods.TasMin<a class="headerlink" href="#sup3r-preprocessing-derivers-methods-tasmin" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.TasMin">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">TasMin</span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#TasMin"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.TasMin" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.derivers.methods.Tas.html#sup3r.preprocessing.derivers.methods.Tas" title="sup3r.preprocessing.derivers.methods.Tas"><code class="xref py py-class docutils literal notranslate"><span class="pre">Tas</span></code></a></p>
+<p>Daily min air temperature near surface variable from climate change nc
+files</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.methods.TasMin.compute" title="sup3r.preprocessing.derivers.methods.TasMin.compute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute</span></code></a>(data)</p></td>
+<td><p>Method to compute tas in Celsius from tas source in Kelvin</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">inputs</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.TasMin.compute">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.TasMin.compute" title="Link to this definition">#</a></dt>
+<dd><p>Method to compute tas in Celsius from tas source in Kelvin</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.TempNCforCC"><code class="docutils literal notranslate"><span class="pre">TempNCforCC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.TempNCforCC.compute"><code class="docutils literal notranslate"><span class="pre">TempNCforCC.compute()</span></code></a></li>
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+  <section id="sup3r-preprocessing-derivers-methods-tempncforcc">
+<h1>sup3r.preprocessing.derivers.methods.TempNCforCC<a class="headerlink" href="#sup3r-preprocessing-derivers-methods-tempncforcc" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.TempNCforCC">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">TempNCforCC</span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#TempNCforCC"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.TempNCforCC" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.derivers.methods.DerivedFeature.html#sup3r.preprocessing.derivers.methods.DerivedFeature" title="sup3r.preprocessing.derivers.methods.DerivedFeature"><code class="xref py py-class docutils literal notranslate"><span class="pre">DerivedFeature</span></code></a></p>
+<p>Air temperature variable from climate change nc files</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.methods.TempNCforCC.compute" title="sup3r.preprocessing.derivers.methods.TempNCforCC.compute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute</span></code></a>(data, height)</p></td>
+<td><p>Method to compute ta in Celsius from ta source in Kelvin</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">inputs</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.TempNCforCC.compute">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">height</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#TempNCforCC.compute"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.TempNCforCC.compute" title="Link to this definition">#</a></dt>
+<dd><p>Method to compute ta in Celsius from ta source in Kelvin</p>
+</dd></dl>
+
+</dd></dl>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.USolar"><code class="docutils literal notranslate"><span class="pre">USolar</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.USolar.compute"><code class="docutils literal notranslate"><span class="pre">USolar.compute()</span></code></a></li>
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+  <section id="sup3r-preprocessing-derivers-methods-usolar">
+<h1>sup3r.preprocessing.derivers.methods.USolar<a class="headerlink" href="#sup3r-preprocessing-derivers-methods-usolar" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.USolar">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">USolar</span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#USolar"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.USolar" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.derivers.methods.DerivedFeature.html#sup3r.preprocessing.derivers.methods.DerivedFeature" title="sup3r.preprocessing.derivers.methods.DerivedFeature"><code class="xref py py-class docutils literal notranslate"><span class="pre">DerivedFeature</span></code></a></p>
+<p>U wind component feature class with needed inputs method and compute
+method for NSRDB data (which has just a single windspeed hub height)</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.methods.USolar.compute" title="sup3r.preprocessing.derivers.methods.USolar.compute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute</span></code></a>(data)</p></td>
+<td><p>Method to compute U wind component from data</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">inputs</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.USolar.compute">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#USolar.compute"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.USolar.compute" title="Link to this definition">#</a></dt>
+<dd><p>Method to compute U wind component from data</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
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+    <h1>sup3r.preprocessing.derivers.methods.UWind</h1>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.UWind"><code class="docutils literal notranslate"><span class="pre">UWind</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.UWind.compute"><code class="docutils literal notranslate"><span class="pre">UWind.compute()</span></code></a></li>
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+  <section id="sup3r-preprocessing-derivers-methods-uwind">
+<h1>sup3r.preprocessing.derivers.methods.UWind<a class="headerlink" href="#sup3r-preprocessing-derivers-methods-uwind" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.UWind">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">UWind</span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#UWind"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.UWind" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.derivers.methods.DerivedFeature.html#sup3r.preprocessing.derivers.methods.DerivedFeature" title="sup3r.preprocessing.derivers.methods.DerivedFeature"><code class="xref py py-class docutils literal notranslate"><span class="pre">DerivedFeature</span></code></a></p>
+<p>U wind component feature class with needed inputs method and compute
+method</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.methods.UWind.compute" title="sup3r.preprocessing.derivers.methods.UWind.compute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute</span></code></a>(data, height)</p></td>
+<td><p>Method to compute U wind component from data</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">inputs</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.UWind.compute">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">height</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#UWind.compute"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.UWind.compute" title="Link to this definition">#</a></dt>
+<dd><p>Method to compute U wind component from data</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
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+
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+    <h1>sup3r.preprocessing.derivers.methods.UWindPowerLaw</h1>
+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
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+            <div>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.UWindPowerLaw"><code class="docutils literal notranslate"><span class="pre">UWindPowerLaw</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.UWindPowerLaw.compute"><code class="docutils literal notranslate"><span class="pre">UWindPowerLaw.compute()</span></code></a></li>
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+  <section id="sup3r-preprocessing-derivers-methods-uwindpowerlaw">
+<h1>sup3r.preprocessing.derivers.methods.UWindPowerLaw<a class="headerlink" href="#sup3r-preprocessing-derivers-methods-uwindpowerlaw" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.UWindPowerLaw">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">UWindPowerLaw</span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#UWindPowerLaw"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.UWindPowerLaw" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.derivers.methods.DerivedFeature.html#sup3r.preprocessing.derivers.methods.DerivedFeature" title="sup3r.preprocessing.derivers.methods.DerivedFeature"><code class="xref py py-class docutils literal notranslate"><span class="pre">DerivedFeature</span></code></a></p>
+<p>U wind component feature class with needed inputs method and compute
+method. Uses power law extrapolation to get values above surface</p>
+<p><a class="reference external" href="https://csl.noaa.gov/projects/lamar/windshearformula.html">https://csl.noaa.gov/projects/lamar/windshearformula.html</a>
+<a class="reference external" href="https://www.tandfonline.com/doi/epdf/10.1080/00022470.1977.10470503">https://www.tandfonline.com/doi/epdf/10.1080/00022470.1977.10470503</a></p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.methods.UWindPowerLaw.compute" title="sup3r.preprocessing.derivers.methods.UWindPowerLaw.compute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute</span></code></a>(data, height)</p></td>
+<td><p>Method to compute U wind component from data</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">ALPHA</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">NEAR_SFC_HEIGHT</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">inputs</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.UWindPowerLaw.compute">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">height</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#UWindPowerLaw.compute"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.UWindPowerLaw.compute" title="Link to this definition">#</a></dt>
+<dd><p>Method to compute U wind component from data</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union[Sup3rX, Sup3rDataset]</em>) – Initialized and standardized through a <code class="xref py py-class docutils literal notranslate"><span class="pre">Loader</span></code> with a
+specific spatiotemporal extent rasterized for the features
+contained using a <code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code>.</p></li>
+<li><p><strong>height</strong> (<em>str | int</em>) – Height at which to compute the derived feature</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>ndarray</em> – Derived feature array</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.VSolar"><code class="docutils literal notranslate"><span class="pre">VSolar</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.VSolar.compute"><code class="docutils literal notranslate"><span class="pre">VSolar.compute()</span></code></a></li>
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+  <section id="sup3r-preprocessing-derivers-methods-vsolar">
+<h1>sup3r.preprocessing.derivers.methods.VSolar<a class="headerlink" href="#sup3r-preprocessing-derivers-methods-vsolar" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.VSolar">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">VSolar</span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#VSolar"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.VSolar" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.derivers.methods.DerivedFeature.html#sup3r.preprocessing.derivers.methods.DerivedFeature" title="sup3r.preprocessing.derivers.methods.DerivedFeature"><code class="xref py py-class docutils literal notranslate"><span class="pre">DerivedFeature</span></code></a></p>
+<p>V wind component feature class with needed inputs method and compute
+method for NSRDB data (which has just a single windspeed hub height)</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.methods.VSolar.compute" title="sup3r.preprocessing.derivers.methods.VSolar.compute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute</span></code></a>(data)</p></td>
+<td><p>Method to compute U wind component from data</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">inputs</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.VSolar.compute">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#VSolar.compute"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.VSolar.compute" title="Link to this definition">#</a></dt>
+<dd><p>Method to compute U wind component from data</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.VSolar.compute"><code class="docutils literal notranslate"><span class="pre">VSolar.compute()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.VWind.compute"><code class="docutils literal notranslate"><span class="pre">VWind.compute()</span></code></a></li>
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+  <section id="sup3r-preprocessing-derivers-methods-vwind">
+<h1>sup3r.preprocessing.derivers.methods.VWind<a class="headerlink" href="#sup3r-preprocessing-derivers-methods-vwind" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.VWind">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">VWind</span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#VWind"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.VWind" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.derivers.methods.DerivedFeature.html#sup3r.preprocessing.derivers.methods.DerivedFeature" title="sup3r.preprocessing.derivers.methods.DerivedFeature"><code class="xref py py-class docutils literal notranslate"><span class="pre">DerivedFeature</span></code></a></p>
+<p>V wind component feature class with needed inputs method and compute
+method</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.methods.VWind.compute" title="sup3r.preprocessing.derivers.methods.VWind.compute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute</span></code></a>(data, height)</p></td>
+<td><p>Method to compute V wind component from data</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">inputs</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.VWind.compute">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">height</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#VWind.compute"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.VWind.compute" title="Link to this definition">#</a></dt>
+<dd><p>Method to compute V wind component from data</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
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+    <h1>sup3r.preprocessing.derivers.methods.VWindPowerLaw</h1>
+    <!-- Table of contents -->
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+            
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+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.VWindPowerLaw"><code class="docutils literal notranslate"><span class="pre">VWindPowerLaw</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.VWindPowerLaw.compute"><code class="docutils literal notranslate"><span class="pre">VWindPowerLaw.compute()</span></code></a></li>
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+  <section id="sup3r-preprocessing-derivers-methods-vwindpowerlaw">
+<h1>sup3r.preprocessing.derivers.methods.VWindPowerLaw<a class="headerlink" href="#sup3r-preprocessing-derivers-methods-vwindpowerlaw" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.VWindPowerLaw">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">VWindPowerLaw</span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#VWindPowerLaw"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.VWindPowerLaw" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.derivers.methods.DerivedFeature.html#sup3r.preprocessing.derivers.methods.DerivedFeature" title="sup3r.preprocessing.derivers.methods.DerivedFeature"><code class="xref py py-class docutils literal notranslate"><span class="pre">DerivedFeature</span></code></a></p>
+<p>V wind component feature class with needed inputs method and compute
+method. Uses power law extrapolation to get values above surface</p>
+<p><a class="reference external" href="https://csl.noaa.gov/projects/lamar/windshearformula.html">https://csl.noaa.gov/projects/lamar/windshearformula.html</a>
+<a class="reference external" href="https://www.tandfonline.com/doi/epdf/10.1080/00022470.1977.10470503">https://www.tandfonline.com/doi/epdf/10.1080/00022470.1977.10470503</a></p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.methods.VWindPowerLaw.compute" title="sup3r.preprocessing.derivers.methods.VWindPowerLaw.compute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute</span></code></a>(data, height)</p></td>
+<td><p>Method to compute V wind component from data</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">ALPHA</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">NEAR_SFC_HEIGHT</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">inputs</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.VWindPowerLaw.compute">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">height</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#VWindPowerLaw.compute"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.VWindPowerLaw.compute" title="Link to this definition">#</a></dt>
+<dd><p>Method to compute V wind component from data</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.VWindPowerLaw"><code class="docutils literal notranslate"><span class="pre">VWindPowerLaw</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.VWindPowerLaw.compute"><code class="docutils literal notranslate"><span class="pre">VWindPowerLaw.compute()</span></code></a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.Winddirection"><code class="docutils literal notranslate"><span class="pre">Winddirection</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.Winddirection.compute"><code class="docutils literal notranslate"><span class="pre">Winddirection.compute()</span></code></a></li>
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+  <section id="sup3r-preprocessing-derivers-methods-winddirection">
+<h1>sup3r.preprocessing.derivers.methods.Winddirection<a class="headerlink" href="#sup3r-preprocessing-derivers-methods-winddirection" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.Winddirection">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Winddirection</span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#Winddirection"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.Winddirection" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.derivers.methods.DerivedFeature.html#sup3r.preprocessing.derivers.methods.DerivedFeature" title="sup3r.preprocessing.derivers.methods.DerivedFeature"><code class="xref py py-class docutils literal notranslate"><span class="pre">DerivedFeature</span></code></a></p>
+<p>Winddirection feature from rasterized data</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.methods.Winddirection.compute" title="sup3r.preprocessing.derivers.methods.Winddirection.compute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute</span></code></a>(data, height)</p></td>
+<td><p>Compute winddirection</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">inputs</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.Winddirection.compute">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">height</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#Winddirection.compute"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.Winddirection.compute" title="Link to this definition">#</a></dt>
+<dd><p>Compute winddirection</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.methods.Windspeed.compute"><code class="docutils literal notranslate"><span class="pre">Windspeed.compute()</span></code></a></li>
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+  <section id="sup3r-preprocessing-derivers-methods-windspeed">
+<h1>sup3r.preprocessing.derivers.methods.Windspeed<a class="headerlink" href="#sup3r-preprocessing-derivers-methods-windspeed" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.Windspeed">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Windspeed</span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#Windspeed"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.Windspeed" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.derivers.methods.DerivedFeature.html#sup3r.preprocessing.derivers.methods.DerivedFeature" title="sup3r.preprocessing.derivers.methods.DerivedFeature"><code class="xref py py-class docutils literal notranslate"><span class="pre">DerivedFeature</span></code></a></p>
+<p>Windspeed feature from rasterized data</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.methods.Windspeed.compute" title="sup3r.preprocessing.derivers.methods.Windspeed.compute"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute</span></code></a>(data, height)</p></td>
+<td><p>Compute windspeed</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">inputs</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.methods.Windspeed.compute">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compute</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">height</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/methods.html#Windspeed.compute"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.methods.Windspeed.compute" title="Link to this definition">#</a></dt>
+<dd><p>Compute windspeed</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
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+    <h1>sup3r.preprocessing.derivers.methods</h1>
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+  <section id="module-sup3r.preprocessing.derivers.methods">
+<span id="sup3r-preprocessing-derivers-methods"></span><h1>sup3r.preprocessing.derivers.methods<a class="headerlink" href="#module-sup3r.preprocessing.derivers.methods" title="Link to this heading">#</a></h1>
+<p>Derivation methods for deriving features from raw data.</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.methods.ClearSkyRatio.html#sup3r.preprocessing.derivers.methods.ClearSkyRatio" title="sup3r.preprocessing.derivers.methods.ClearSkyRatio"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ClearSkyRatio</span></code></a>()</p></td>
+<td><p>Clear Sky Ratio feature class.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.methods.ClearSkyRatioCC.html#sup3r.preprocessing.derivers.methods.ClearSkyRatioCC" title="sup3r.preprocessing.derivers.methods.ClearSkyRatioCC"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ClearSkyRatioCC</span></code></a>()</p></td>
+<td><p>Clear Sky Ratio feature class for computing from climate change netcdf data</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.methods.CloudMask.html#sup3r.preprocessing.derivers.methods.CloudMask" title="sup3r.preprocessing.derivers.methods.CloudMask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CloudMask</span></code></a>()</p></td>
+<td><p>Cloud Mask feature class.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.methods.DerivedFeature.html#sup3r.preprocessing.derivers.methods.DerivedFeature" title="sup3r.preprocessing.derivers.methods.DerivedFeature"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DerivedFeature</span></code></a>()</p></td>
+<td><p>Abstract class for special features which need to be derived from raw features</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.methods.PressureWRF.html#sup3r.preprocessing.derivers.methods.PressureWRF" title="sup3r.preprocessing.derivers.methods.PressureWRF"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PressureWRF</span></code></a>()</p></td>
+<td><p>Pressure feature class for WRF data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.methods.SurfaceRH.html#sup3r.preprocessing.derivers.methods.SurfaceRH" title="sup3r.preprocessing.derivers.methods.SurfaceRH"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SurfaceRH</span></code></a>()</p></td>
+<td><p>Surface Relative humidity feature for computing rh from dewpoint temperature and ambient temperature.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.methods.Sza.html#sup3r.preprocessing.derivers.methods.Sza" title="sup3r.preprocessing.derivers.methods.Sza"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Sza</span></code></a>()</p></td>
+<td><p>Solar zenith angle derived feature.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.methods.Tas.html#sup3r.preprocessing.derivers.methods.Tas" title="sup3r.preprocessing.derivers.methods.Tas"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Tas</span></code></a>()</p></td>
+<td><p>Air temperature near surface variable from climate change nc files</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.methods.TasMax.html#sup3r.preprocessing.derivers.methods.TasMax" title="sup3r.preprocessing.derivers.methods.TasMax"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TasMax</span></code></a>()</p></td>
+<td><p>Daily max air temperature near surface variable from climate change nc files</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.methods.TasMin.html#sup3r.preprocessing.derivers.methods.TasMin" title="sup3r.preprocessing.derivers.methods.TasMin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TasMin</span></code></a>()</p></td>
+<td><p>Daily min air temperature near surface variable from climate change nc files</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.methods.TempNCforCC.html#sup3r.preprocessing.derivers.methods.TempNCforCC" title="sup3r.preprocessing.derivers.methods.TempNCforCC"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TempNCforCC</span></code></a>()</p></td>
+<td><p>Air temperature variable from climate change nc files</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.methods.USolar.html#sup3r.preprocessing.derivers.methods.USolar" title="sup3r.preprocessing.derivers.methods.USolar"><code class="xref py py-obj docutils literal notranslate"><span class="pre">USolar</span></code></a>()</p></td>
+<td><p>U wind component feature class with needed inputs method and compute method for NSRDB data (which has just a single windspeed hub height)</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.methods.UWind.html#sup3r.preprocessing.derivers.methods.UWind" title="sup3r.preprocessing.derivers.methods.UWind"><code class="xref py py-obj docutils literal notranslate"><span class="pre">UWind</span></code></a>()</p></td>
+<td><p>U wind component feature class with needed inputs method and compute method</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.methods.UWindPowerLaw.html#sup3r.preprocessing.derivers.methods.UWindPowerLaw" title="sup3r.preprocessing.derivers.methods.UWindPowerLaw"><code class="xref py py-obj docutils literal notranslate"><span class="pre">UWindPowerLaw</span></code></a>()</p></td>
+<td><p>U wind component feature class with needed inputs method and compute method.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.methods.VSolar.html#sup3r.preprocessing.derivers.methods.VSolar" title="sup3r.preprocessing.derivers.methods.VSolar"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VSolar</span></code></a>()</p></td>
+<td><p>V wind component feature class with needed inputs method and compute method for NSRDB data (which has just a single windspeed hub height)</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.methods.VWind.html#sup3r.preprocessing.derivers.methods.VWind" title="sup3r.preprocessing.derivers.methods.VWind"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VWind</span></code></a>()</p></td>
+<td><p>V wind component feature class with needed inputs method and compute method</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.methods.VWindPowerLaw.html#sup3r.preprocessing.derivers.methods.VWindPowerLaw" title="sup3r.preprocessing.derivers.methods.VWindPowerLaw"><code class="xref py py-obj docutils literal notranslate"><span class="pre">VWindPowerLaw</span></code></a>()</p></td>
+<td><p>V wind component feature class with needed inputs method and compute method.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.methods.Winddirection.html#sup3r.preprocessing.derivers.methods.Winddirection" title="sup3r.preprocessing.derivers.methods.Winddirection"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Winddirection</span></code></a>()</p></td>
+<td><p>Winddirection feature from rasterized data</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.methods.Windspeed.html#sup3r.preprocessing.derivers.methods.Windspeed" title="sup3r.preprocessing.derivers.methods.Windspeed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Windspeed</span></code></a>()</p></td>
+<td><p>Windspeed feature from rasterized data</p></td>
+</tr>
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+</table>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.utilities.SolarZenith"><code class="docutils literal notranslate"><span class="pre">SolarZenith</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.utilities.SolarZenith.get_zenith"><code class="docutils literal notranslate"><span class="pre">SolarZenith.get_zenith()</span></code></a></li>
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+  <section id="sup3r-preprocessing-derivers-utilities-solarzenith">
+<h1>sup3r.preprocessing.derivers.utilities.SolarZenith<a class="headerlink" href="#sup3r-preprocessing-derivers-utilities-solarzenith" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.utilities.SolarZenith">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">SolarZenith</span></span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/utilities.html#SolarZenith"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.utilities.SolarZenith" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<p>Class to compute solar zenith angle. Use SPA from rex and wrap some of
+those methods in <code class="docutils literal notranslate"><span class="pre">dask.array.map_blocks</span></code> so this can be computed in
+parallel across chunks.</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.derivers.utilities.SolarZenith.get_zenith" title="sup3r.preprocessing.derivers.utilities.SolarZenith.get_zenith"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_zenith</span></code></a>(time_index, lat_lon[, ll_chunks])</p></td>
+<td><p>Compute solar zenith angle from time_index and location</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.utilities.SolarZenith.get_zenith">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_zenith</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">time_index</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lat_lon</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ll_chunks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(10,</span> <span class="pre">10,</span> <span class="pre">1)</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/utilities.html#SolarZenith.get_zenith"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.utilities.SolarZenith.get_zenith" title="Link to this definition">#</a></dt>
+<dd><p>Compute solar zenith angle from time_index and location</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>time_index</strong> (<em>ndarray | pandas.DatetimeIndex | str</em>) – Datetime stamps of interest</p></li>
+<li><p><strong>lat_lon</strong> (<em>ndarray, da.core.Array</em>) – (latitude, longitude, 2) for site(s) of interest</p></li>
+<li><p><strong>ll_chunks</strong> (<em>tuple</em>) – Chunks for lat_lon array. To run this on a large domain, even with
+delayed computations through dask, we need to use small chunks for
+the lat lon array.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>zenith</strong> (<em>da.core.Array</em>) – Solar zenith angle in degrees</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
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+    <h1>sup3r.preprocessing.derivers.utilities</h1>
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+  <section id="module-sup3r.preprocessing.derivers.utilities">
+<span id="sup3r-preprocessing-derivers-utilities"></span><h1>sup3r.preprocessing.derivers.utilities<a class="headerlink" href="#module-sup3r.preprocessing.derivers.utilities" title="Link to this heading">#</a></h1>
+<p>Miscellaneous utilities shared across the derivers module</p>
+<p class="rubric">Functions</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.utilities.invert_uv.html#sup3r.preprocessing.derivers.utilities.invert_uv" title="sup3r.preprocessing.derivers.utilities.invert_uv"><code class="xref py py-obj docutils literal notranslate"><span class="pre">invert_uv</span></code></a>(u, v, lat_lon)</p></td>
+<td><p>Transform u and v back to windspeed and winddirection</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.utilities.parse_feature.html#sup3r.preprocessing.derivers.utilities.parse_feature" title="sup3r.preprocessing.derivers.utilities.parse_feature"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parse_feature</span></code></a>(feature)</p></td>
+<td><p>Parse feature name to get the &quot;basename&quot; (i.e. U for u_100m), the height (100 for u_100m), and pressure if available (1000 for u_1000pa).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.utilities.transform_rotate_wind.html#sup3r.preprocessing.derivers.utilities.transform_rotate_wind" title="sup3r.preprocessing.derivers.utilities.transform_rotate_wind"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform_rotate_wind</span></code></a>(ws, wd, lat_lon)</p></td>
+<td><p>Transform windspeed/direction to u and v and align u and v with grid</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.utilities.windspeed_log_law.html#sup3r.preprocessing.derivers.utilities.windspeed_log_law" title="sup3r.preprocessing.derivers.utilities.windspeed_log_law"><code class="xref py py-obj docutils literal notranslate"><span class="pre">windspeed_log_law</span></code></a>(z, a, b, c)</p></td>
+<td><p>Windspeed log profile.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
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+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.utilities.SolarZenith.html#sup3r.preprocessing.derivers.utilities.SolarZenith" title="sup3r.preprocessing.derivers.utilities.SolarZenith"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SolarZenith</span></code></a>()</p></td>
+<td><p>Class to compute solar zenith angle.</p></td>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.utilities.invert_uv"><code class="docutils literal notranslate"><span class="pre">invert_uv()</span></code></a></li>
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+  <section id="sup3r-preprocessing-derivers-utilities-invert-uv">
+<h1>sup3r.preprocessing.derivers.utilities.invert_uv<a class="headerlink" href="#sup3r-preprocessing-derivers-utilities-invert-uv" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.utilities.invert_uv">
+<span class="sig-name descname"><span class="pre">invert_uv</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">u</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">v</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lat_lon</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/utilities.html#invert_uv"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.utilities.invert_uv" title="Link to this definition">#</a></dt>
+<dd><p>Transform u and v back to windspeed and winddirection</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>u</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 3D array of high res U data
+(spatial_1, spatial_2, temporal)</p></li>
+<li><p><strong>v</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 3D array of high res V data
+(spatial_1, spatial_2, temporal)</p></li>
+<li><p><strong>lat_lon</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 3D array of lat lon
+(spatial_1, spatial_2, 2)
+Last dimension has lat / lon in that order</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>ws</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 3D array of high res windspeed data
+(spatial_1, spatial_2, temporal)</p></li>
+<li><p><strong>wd</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 3D array of high res winddirection data. Angle is in degrees and
+measured relative to the south_north direction.
+(spatial_1, spatial_2, temporal)</p></li>
+</ul>
+</p>
+</dd>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.utilities.invert_uv"><code class="docutils literal notranslate"><span class="pre">invert_uv()</span></code></a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.utilities.parse_feature"><code class="docutils literal notranslate"><span class="pre">parse_feature()</span></code></a></li>
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+  <section id="sup3r-preprocessing-derivers-utilities-parse-feature">
+<h1>sup3r.preprocessing.derivers.utilities.parse_feature<a class="headerlink" href="#sup3r-preprocessing-derivers-utilities-parse-feature" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.utilities.parse_feature">
+<span class="sig-name descname"><span class="pre">parse_feature</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/utilities.html#parse_feature"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.utilities.parse_feature" title="Link to this definition">#</a></dt>
+<dd><p>Parse feature name to get the “basename” (i.e. U for u_100m), the height
+(100 for u_100m), and pressure if available (1000 for u_1000pa).</p>
+</dd></dl>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.utilities.transform_rotate_wind"><code class="docutils literal notranslate"><span class="pre">transform_rotate_wind()</span></code></a></li>
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+  <section id="sup3r-preprocessing-derivers-utilities-transform-rotate-wind">
+<h1>sup3r.preprocessing.derivers.utilities.transform_rotate_wind<a class="headerlink" href="#sup3r-preprocessing-derivers-utilities-transform-rotate-wind" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.utilities.transform_rotate_wind">
+<span class="sig-name descname"><span class="pre">transform_rotate_wind</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ws</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">wd</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lat_lon</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/utilities.html#transform_rotate_wind"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.utilities.transform_rotate_wind" title="Link to this definition">#</a></dt>
+<dd><p>Transform windspeed/direction to u and v and align u and v with grid</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>ws</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 3D array of high res windspeed data
+(spatial_1, spatial_2, temporal)</p></li>
+<li><p><strong>wd</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 3D array of high res winddirection data. Angle is in degrees and
+measured relative to the south_north direction.
+(spatial_1, spatial_2, temporal)</p></li>
+<li><p><strong>lat_lon</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 3D array of lat lon
+(spatial_1, spatial_2, 2)
+Last dimension has lat / lon in that order</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>u</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 3D array of high res U data
+(spatial_1, spatial_2, temporal)</p></li>
+<li><p><strong>v</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 3D array of high res V data
+(spatial_1, spatial_2, temporal)</p></li>
+</ul>
+</p>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.utilities.windspeed_log_law"><code class="docutils literal notranslate"><span class="pre">windspeed_log_law()</span></code></a></li>
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+  <section id="sup3r-preprocessing-derivers-utilities-windspeed-log-law">
+<h1>sup3r.preprocessing.derivers.utilities.windspeed_log_law<a class="headerlink" href="#sup3r-preprocessing-derivers-utilities-windspeed-log-law" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.derivers.utilities.windspeed_log_law">
+<span class="sig-name descname"><span class="pre">windspeed_log_law</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">z</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">a</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">b</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">c</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/derivers/utilities.html#windspeed_log_law"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.derivers.utilities.windspeed_log_law" title="Link to this definition">#</a></dt>
+<dd><p>Windspeed log profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>z</strong> (<em>float</em>) – Height above ground in meters</p></li>
+<li><p><strong>a</strong> (<em>float</em>) – Proportional to friction velocity</p></li>
+<li><p><strong>b</strong> (<em>float</em>) – Related to zero-plane displacement in meters (height above the ground
+at which zero mean wind speed is achieved as a result of flow obstacles
+such as trees or buildings)</p></li>
+<li><p><strong>c</strong> (<em>float</em>) – Proportional to stability term.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>ws</strong> (<em>float</em>) – Value of windspeed at a given height.</p>
+</dd>
+</dl>
+</dd></dl>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.derivers.utilities.windspeed_log_law"><code class="docutils literal notranslate"><span class="pre">windspeed_log_law()</span></code></a></li>
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+  <section id="module-sup3r.preprocessing">
+<span id="sup3r-preprocessing"></span><h1>sup3r.preprocessing<a class="headerlink" href="#module-sup3r.preprocessing" title="Link to this heading">#</a></h1>
+<p>Sup3r preprocessing module. Here you will find things that have access to
+data, which we call <code class="docutils literal notranslate"><span class="pre">Containers</span></code>. <code class="docutils literal notranslate"><span class="pre">Loaders</span></code>, <code class="docutils literal notranslate"><span class="pre">Rasterizers</span></code>, <code class="docutils literal notranslate"><span class="pre">Samplers</span></code>,
+<code class="docutils literal notranslate"><span class="pre">Derivers</span></code>, <code class="docutils literal notranslate"><span class="pre">Handlers</span></code>, <code class="docutils literal notranslate"><span class="pre">Batchers</span></code>, etc, are all subclasses of
+<code class="docutils literal notranslate"><span class="pre">Containers.</span></code> Rather than having a single object that does everything -
+extract data, compute features, sample the data for batching, split into train
+and val, etc, we have fundamental objects that do one of these things and we
+build multi-purpose objects with class factories. These factory generated
+objects are DataHandlers and BatchHandlers.</p>
+<p>If you want to extract a specific spatiotemporal extent from a data file then
+use <a class="reference internal" href="sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer" title="sup3r.preprocessing.rasterizers.extended.Rasterizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code></a>. If you want to split into a test and validation set
+then use <a class="reference internal" href="sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer" title="sup3r.preprocessing.rasterizers.extended.Rasterizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code></a> to extract different temporal extents separately.
+If you’ve already rasterized data and written that to a file and then want to
+sample that data for batches, then use a <a class="reference internal" href="sup3r.preprocessing.loaders.Loader.html#sup3r.preprocessing.loaders.Loader" title="sup3r.preprocessing.loaders.Loader"><code class="xref py py-class docutils literal notranslate"><span class="pre">Loader</span></code></a> (or a
+<a class="reference internal" href="sup3r.preprocessing.data_handlers.factory.DataHandler.html#sup3r.preprocessing.data_handlers.factory.DataHandler" title="sup3r.preprocessing.data_handlers.factory.DataHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataHandler</span></code></a>), and give that object to a <a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. If
+you want to have training and validation batches then load those separate data
+sets, and provide these to <a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. If you want to have a
+BatchQueue containing pairs of low / high res data, rather than coarsening
+high-res to get low res, then load lr and hr data with separate Loaders or
+DataHandlers, use <a class="reference internal" href="sup3r.preprocessing.rasterizers.dual.DualRasterizer.html#sup3r.preprocessing.rasterizers.dual.DualRasterizer" title="sup3r.preprocessing.rasterizers.dual.DualRasterizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualRasterizer</span></code></a> to match the lr and hr grids, and
+provide this to <a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler" title="sup3r.preprocessing.batch_handlers.factory.DualBatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualBatchHandler</span></code></a>.</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.accessor.html#module-sup3r.preprocessing.accessor" title="sup3r.preprocessing.accessor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">accessor</span></code></a></p></td>
+<td><p>Accessor for xarray.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.base.html#module-sup3r.preprocessing.base" title="sup3r.preprocessing.base"><code class="xref py py-obj docutils literal notranslate"><span class="pre">base</span></code></a></p></td>
+<td><p>Base classes - fundamental dataset objects and the base <code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code> object, which just contains dataset objects.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_handlers.html#module-sup3r.preprocessing.batch_handlers" title="sup3r.preprocessing.batch_handlers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">batch_handlers</span></code></a></p></td>
+<td><p>Composite objects built from batch queues and samplers.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.batch_queues.html#module-sup3r.preprocessing.batch_queues" title="sup3r.preprocessing.batch_queues"><code class="xref py py-obj docutils literal notranslate"><span class="pre">batch_queues</span></code></a></p></td>
+<td><p>Container collection objects used to build batches for training.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.cachers.html#module-sup3r.preprocessing.cachers" title="sup3r.preprocessing.cachers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cachers</span></code></a></p></td>
+<td><p>Basic Cacher container.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.collections.html#module-sup3r.preprocessing.collections" title="sup3r.preprocessing.collections"><code class="xref py py-obj docutils literal notranslate"><span class="pre">collections</span></code></a></p></td>
+<td><p>Classes consisting of collections of containers.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.data_handlers.html#module-sup3r.preprocessing.data_handlers" title="sup3r.preprocessing.data_handlers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data_handlers</span></code></a></p></td>
+<td><p>Composite objects built from loaders, rasterizers, and derivers.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.derivers.html#module-sup3r.preprocessing.derivers" title="sup3r.preprocessing.derivers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">derivers</span></code></a></p></td>
+<td><p>Loader subclass with methods for extracting and processing the contained data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.loaders.html#module-sup3r.preprocessing.loaders" title="sup3r.preprocessing.loaders"><code class="xref py py-obj docutils literal notranslate"><span class="pre">loaders</span></code></a></p></td>
+<td><p>Container subclass with additional methods for loading the contained data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.names.html#module-sup3r.preprocessing.names" title="sup3r.preprocessing.names"><code class="xref py py-obj docutils literal notranslate"><span class="pre">names</span></code></a></p></td>
+<td><p>Mappings from coord / dim / feature names to standard names and Dimension class for standardizing dimension orders and names.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.rasterizers.html#module-sup3r.preprocessing.rasterizers" title="sup3r.preprocessing.rasterizers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rasterizers</span></code></a></p></td>
+<td><p>Container subclass with methods for extracting a specific spatiotemporal extents from data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.samplers.html#module-sup3r.preprocessing.samplers" title="sup3r.preprocessing.samplers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">samplers</span></code></a></p></td>
+<td><p>Container subclass with methods for sampling contained data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.html#module-sup3r.preprocessing.utilities" title="sup3r.preprocessing.utilities"><code class="xref py py-obj docutils literal notranslate"><span class="pre">utilities</span></code></a></p></td>
+<td><p>Methods used across container objects.</p></td>
+</tr>
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+</table>
+</div>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.Loader"><code class="docutils literal notranslate"><span class="pre">Loader</span></code></a></li>
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+                  
+  <section id="sup3r-preprocessing-loaders-loader">
+<h1>sup3r.preprocessing.loaders.Loader<a class="headerlink" href="#sup3r-preprocessing-loaders-loader" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.Loader">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Loader</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">res_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">BaseLoader</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/loaders.html#Loader"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.loaders.Loader" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_paths</strong> (<em>str | pathlib.Path | list</em>) – Location(s) of files to load</p></li>
+<li><p><strong>features</strong> (<em>list | str</em>) – Features to return in loaded dataset. If ‘all’ then all available
+features will be returned.</p></li>
+<li><p><strong>res_kwargs</strong> (<em>dict</em>) – Additional keyword arguments passed through to the <code class="docutils literal notranslate"><span class="pre">BaseLoader</span></code>.
+BaseLoader is usually xr.open_mfdataset for NETCDF files and
+MultiFileResourceX for H5 files.</p></li>
+<li><p><strong>chunks</strong> (<em>dict | str | None</em>) – Dictionary of chunk sizes to pass through to
+<code class="docutils literal notranslate"><span class="pre">dask.array.from_array()</span></code> or <code class="docutils literal notranslate"><span class="pre">xr.Dataset().chunk()</span></code>. Will be
+converted to a tuple when used in <code class="docutils literal notranslate"><span class="pre">from_array()</span></code>. These are the
+methods for H5 and NETCDF data, respectively. This argument can
+be “auto” in additional to a dictionary. If this is None then the
+data will not be chunked and instead loaded directly into memory.</p></li>
+<li><p><strong>BaseLoader</strong> (<em>Callable</em>) – Optional base loader update. The default for H5 files is
+MultiFileResourceX and for NETCDF is xarray.open_mfdataset</p></li>
+</ul>
+</dd>
+</dl>
+<p>Override parent class to return type specific class based on
+<cite>source_file</cite></p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">TypeSpecificClasses</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.base.BaseLoader"><code class="docutils literal notranslate"><span class="pre">BaseLoader</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.base.BaseLoader.BASE_LOADER"><code class="docutils literal notranslate"><span class="pre">BaseLoader.BASE_LOADER()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.base.BaseLoader.data"><code class="docutils literal notranslate"><span class="pre">BaseLoader.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.base.BaseLoader.file_paths"><code class="docutils literal notranslate"><span class="pre">BaseLoader.file_paths</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.base.BaseLoader.post_init_log"><code class="docutils literal notranslate"><span class="pre">BaseLoader.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.base.BaseLoader.shape"><code class="docutils literal notranslate"><span class="pre">BaseLoader.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.base.BaseLoader.wrap"><code class="docutils literal notranslate"><span class="pre">BaseLoader.wrap()</span></code></a></li>
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+                  
+  <section id="sup3r-preprocessing-loaders-base-baseloader">
+<h1>sup3r.preprocessing.loaders.base.BaseLoader<a class="headerlink" href="#sup3r-preprocessing-loaders-base-baseloader" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.base.BaseLoader">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">BaseLoader</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">res_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">BaseLoader</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/loaders/base.html#BaseLoader"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.loaders.base.BaseLoader" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a>, <a class="reference external" href="https://docs.python.org/3/library/abc.html#abc.ABC" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">ABC</span></code></a></p>
+<p>Base loader. “Loads” files so that a <cite>.data</cite> attribute provides access
+to the data in the files as a dask array with shape (lats, lons, time,
+features). This object provides a <cite>__getitem__</cite> method that can be used by
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects to build batches or
+by <code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code> objects to derive /
+extract specific features / regions / time_periods.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_paths</strong> (<em>str | pathlib.Path | list</em>) – Location(s) of files to load</p></li>
+<li><p><strong>features</strong> (<em>list | str</em>) – Features to return in loaded dataset. If ‘all’ then all available
+features will be returned.</p></li>
+<li><p><strong>res_kwargs</strong> (<em>dict</em>) – Additional keyword arguments passed through to the <code class="docutils literal notranslate"><span class="pre">BaseLoader</span></code>.
+BaseLoader is usually xr.open_mfdataset for NETCDF files and
+MultiFileResourceX for H5 files.</p></li>
+<li><p><strong>chunks</strong> (<em>dict | str | None</em>) – Dictionary of chunk sizes to pass through to
+<code class="docutils literal notranslate"><span class="pre">dask.array.from_array()</span></code> or <code class="docutils literal notranslate"><span class="pre">xr.Dataset().chunk()</span></code>. Will be
+converted to a tuple when used in <code class="docutils literal notranslate"><span class="pre">from_array()</span></code>. These are the
+methods for H5 and NETCDF data, respectively. This argument can
+be “auto” in additional to a dictionary. If this is None then the
+data will not be chunked and instead loaded directly into memory.</p></li>
+<li><p><strong>BaseLoader</strong> (<em>Callable</em>) – Optional base loader update. The default for H5 files is
+MultiFileResourceX and for NETCDF is xarray.open_mfdataset</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.loaders.base.BaseLoader.BASE_LOADER" title="sup3r.preprocessing.loaders.base.BaseLoader.BASE_LOADER"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BASE_LOADER</span></code></a>(**kwargs)</p></td>
+<td><p>Wrapper for xr.open_mfdataset with default opening options.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.loaders.base.BaseLoader.post_init_log" title="sup3r.preprocessing.loaders.base.BaseLoader.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.loaders.base.BaseLoader.wrap" title="sup3r.preprocessing.loaders.base.BaseLoader.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.loaders.base.BaseLoader.data" title="sup3r.preprocessing.loaders.base.BaseLoader.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.loaders.base.BaseLoader.file_paths" title="sup3r.preprocessing.loaders.base.BaseLoader.file_paths"><code class="xref py py-obj docutils literal notranslate"><span class="pre">file_paths</span></code></a></p></td>
+<td><p>Get file paths for input data</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.loaders.base.BaseLoader.shape" title="sup3r.preprocessing.loaders.base.BaseLoader.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.base.BaseLoader.BASE_LOADER">
+<span class="sig-name descname"><span class="pre">BASE_LOADER</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.loaders.base.BaseLoader.BASE_LOADER" title="Link to this definition">#</a></dt>
+<dd><p>Wrapper for xr.open_mfdataset with default opening options.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.base.BaseLoader.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.loaders.base.BaseLoader.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.loaders.base.BaseLoader.wrap" title="sup3r.preprocessing.loaders.base.BaseLoader.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.base.BaseLoader.file_paths">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">file_paths</span></span><a class="headerlink" href="#sup3r.preprocessing.loaders.base.BaseLoader.file_paths" title="Link to this definition">#</a></dt>
+<dd><p>Get file paths for input data</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.base.BaseLoader.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.loaders.base.BaseLoader.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.base.BaseLoader.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.loaders.base.BaseLoader.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.base.BaseLoader.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.loaders.base.BaseLoader.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.base.BaseLoader.BASE_LOADER"><code class="docutils literal notranslate"><span class="pre">BaseLoader.BASE_LOADER()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.base.BaseLoader.data"><code class="docutils literal notranslate"><span class="pre">BaseLoader.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.base.BaseLoader.file_paths"><code class="docutils literal notranslate"><span class="pre">BaseLoader.file_paths</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.base.BaseLoader.post_init_log"><code class="docutils literal notranslate"><span class="pre">BaseLoader.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.base.BaseLoader.shape"><code class="docutils literal notranslate"><span class="pre">BaseLoader.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.base.BaseLoader.wrap"><code class="docutils literal notranslate"><span class="pre">BaseLoader.wrap()</span></code></a></li>
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+<p>Abstract Loader class merely for loading data from file paths. This data is
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+    <h1>sup3r.preprocessing.loaders.h5.LoaderH5</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.h5.LoaderH5"><code class="docutils literal notranslate"><span class="pre">LoaderH5</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.h5.LoaderH5.BASE_LOADER"><code class="docutils literal notranslate"><span class="pre">LoaderH5.BASE_LOADER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.h5.LoaderH5.scale_factor"><code class="docutils literal notranslate"><span class="pre">LoaderH5.scale_factor()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.h5.LoaderH5.data"><code class="docutils literal notranslate"><span class="pre">LoaderH5.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.h5.LoaderH5.file_paths"><code class="docutils literal notranslate"><span class="pre">LoaderH5.file_paths</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.h5.LoaderH5.post_init_log"><code class="docutils literal notranslate"><span class="pre">LoaderH5.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.h5.LoaderH5.shape"><code class="docutils literal notranslate"><span class="pre">LoaderH5.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.h5.LoaderH5.wrap"><code class="docutils literal notranslate"><span class="pre">LoaderH5.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-loaders-h5-loaderh5">
+<h1>sup3r.preprocessing.loaders.h5.LoaderH5<a class="headerlink" href="#sup3r-preprocessing-loaders-h5-loaderh5" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.h5.LoaderH5">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">LoaderH5</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">res_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">BaseLoader</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/loaders/h5.html#LoaderH5"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.loaders.h5.LoaderH5" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.loaders.base.BaseLoader.html#sup3r.preprocessing.loaders.base.BaseLoader" title="sup3r.preprocessing.loaders.base.BaseLoader"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseLoader</span></code></a></p>
+<p>Base H5 loader. “Loads” h5 files so that a <cite>.data</cite> attribute
+provides access to the data in the files. This object provides a
+<cite>__getitem__</cite> method that can be used by
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects to build batches or
+by <code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code> objects to derive /
+extract specific features / regions / time_periods.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_paths</strong> (<em>str | pathlib.Path | list</em>) – Location(s) of files to load</p></li>
+<li><p><strong>features</strong> (<em>list | str</em>) – Features to return in loaded dataset. If ‘all’ then all available
+features will be returned.</p></li>
+<li><p><strong>res_kwargs</strong> (<em>dict</em>) – Additional keyword arguments passed through to the <code class="docutils literal notranslate"><span class="pre">BaseLoader</span></code>.
+BaseLoader is usually xr.open_mfdataset for NETCDF files and
+MultiFileResourceX for H5 files.</p></li>
+<li><p><strong>chunks</strong> (<em>dict | str | None</em>) – Dictionary of chunk sizes to pass through to
+<code class="docutils literal notranslate"><span class="pre">dask.array.from_array()</span></code> or <code class="docutils literal notranslate"><span class="pre">xr.Dataset().chunk()</span></code>. Will be
+converted to a tuple when used in <code class="docutils literal notranslate"><span class="pre">from_array()</span></code>. These are the
+methods for H5 and NETCDF data, respectively. This argument can
+be “auto” in additional to a dictionary. If this is None then the
+data will not be chunked and instead loaded directly into memory.</p></li>
+<li><p><strong>BaseLoader</strong> (<em>Callable</em>) – Optional base loader update. The default for H5 files is
+MultiFileResourceX and for NETCDF is xarray.open_mfdataset</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.loaders.h5.LoaderH5.post_init_log" title="sup3r.preprocessing.loaders.h5.LoaderH5.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.loaders.h5.LoaderH5.scale_factor" title="sup3r.preprocessing.loaders.h5.LoaderH5.scale_factor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">scale_factor</span></code></a>(feature)</p></td>
+<td><p>Get scale factor for given feature.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.loaders.h5.LoaderH5.wrap" title="sup3r.preprocessing.loaders.h5.LoaderH5.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.loaders.h5.LoaderH5.data" title="sup3r.preprocessing.loaders.h5.LoaderH5.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.loaders.h5.LoaderH5.file_paths" title="sup3r.preprocessing.loaders.h5.LoaderH5.file_paths"><code class="xref py py-obj docutils literal notranslate"><span class="pre">file_paths</span></code></a></p></td>
+<td><p>Get file paths for input data</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.loaders.h5.LoaderH5.shape" title="sup3r.preprocessing.loaders.h5.LoaderH5.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.h5.LoaderH5.BASE_LOADER">
+<span class="sig-name descname"><span class="pre">BASE_LOADER</span></span><a class="headerlink" href="#sup3r.preprocessing.loaders.h5.LoaderH5.BASE_LOADER" title="Link to this definition">#</a></dt>
+<dd><p>alias of <code class="xref py py-class docutils literal notranslate"><span class="pre">MultiFileWindX</span></code></p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.h5.LoaderH5.scale_factor">
+<span class="sig-name descname"><span class="pre">scale_factor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/loaders/h5.html#LoaderH5.scale_factor"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.loaders.h5.LoaderH5.scale_factor" title="Link to this definition">#</a></dt>
+<dd><p>Get scale factor for given feature. Data is stored in scaled form to
+reduce memory.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.h5.LoaderH5.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.loaders.h5.LoaderH5.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.loaders.h5.LoaderH5.wrap" title="sup3r.preprocessing.loaders.h5.LoaderH5.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.h5.LoaderH5.file_paths">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">file_paths</span></span><a class="headerlink" href="#sup3r.preprocessing.loaders.h5.LoaderH5.file_paths" title="Link to this definition">#</a></dt>
+<dd><p>Get file paths for input data</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.h5.LoaderH5.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.loaders.h5.LoaderH5.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.h5.LoaderH5.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.loaders.h5.LoaderH5.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.h5.LoaderH5.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.loaders.h5.LoaderH5.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.h5.LoaderH5"><code class="docutils literal notranslate"><span class="pre">LoaderH5</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.h5.LoaderH5.BASE_LOADER"><code class="docutils literal notranslate"><span class="pre">LoaderH5.BASE_LOADER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.h5.LoaderH5.scale_factor"><code class="docutils literal notranslate"><span class="pre">LoaderH5.scale_factor()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.h5.LoaderH5.data"><code class="docutils literal notranslate"><span class="pre">LoaderH5.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.h5.LoaderH5.file_paths"><code class="docutils literal notranslate"><span class="pre">LoaderH5.file_paths</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.h5.LoaderH5.post_init_log"><code class="docutils literal notranslate"><span class="pre">LoaderH5.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.h5.LoaderH5.shape"><code class="docutils literal notranslate"><span class="pre">LoaderH5.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.h5.LoaderH5.wrap"><code class="docutils literal notranslate"><span class="pre">LoaderH5.wrap()</span></code></a></li>
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+  <section id="module-sup3r.preprocessing.loaders.h5">
+<span id="sup3r-preprocessing-loaders-h5"></span><h1>sup3r.preprocessing.loaders.h5<a class="headerlink" href="#module-sup3r.preprocessing.loaders.h5" title="Link to this heading">#</a></h1>
+<p>Base loading class for H5 files.</p>
+<p>TODO: Explore replacing rex handlers with xarray. xarray should be able to
+load H5 files fine. We would still need get_raster_index method in Rasterizers
+though.</p>
+<p class="rubric">Classes</p>
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+  <section id="module-sup3r.preprocessing.loaders">
+<span id="sup3r-preprocessing-loaders"></span><h1>sup3r.preprocessing.loaders<a class="headerlink" href="#module-sup3r.preprocessing.loaders" title="Link to this heading">#</a></h1>
+<p>Container subclass with additional methods for loading the contained
+data.</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.loaders.Loader.html#sup3r.preprocessing.loaders.Loader" title="sup3r.preprocessing.loaders.Loader"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Loader</span></code></a>(file_paths, *[, features, ...])</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
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+</div>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.loaders.base.html#module-sup3r.preprocessing.loaders.base" title="sup3r.preprocessing.loaders.base"><code class="xref py py-obj docutils literal notranslate"><span class="pre">base</span></code></a></p></td>
+<td><p>Abstract Loader class merely for loading data from file paths.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.loaders.h5.html#module-sup3r.preprocessing.loaders.h5" title="sup3r.preprocessing.loaders.h5"><code class="xref py py-obj docutils literal notranslate"><span class="pre">h5</span></code></a></p></td>
+<td><p>Base loading class for H5 files.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.loaders.nc.html#module-sup3r.preprocessing.loaders.nc" title="sup3r.preprocessing.loaders.nc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nc</span></code></a></p></td>
+<td><p>Base loading classes.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.loaders.utilities.html#module-sup3r.preprocessing.loaders.utilities" title="sup3r.preprocessing.loaders.utilities"><code class="xref py py-obj docutils literal notranslate"><span class="pre">utilities</span></code></a></p></td>
+<td><p>Utilities used by Loaders.</p></td>
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+    <h1>sup3r.preprocessing.loaders.nc.LoaderNC</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.nc.LoaderNC"><code class="docutils literal notranslate"><span class="pre">LoaderNC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.nc.LoaderNC.BASE_LOADER"><code class="docutils literal notranslate"><span class="pre">LoaderNC.BASE_LOADER()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.nc.LoaderNC.get_coords"><code class="docutils literal notranslate"><span class="pre">LoaderNC.get_coords()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.nc.LoaderNC.get_dims"><code class="docutils literal notranslate"><span class="pre">LoaderNC.get_dims()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.nc.LoaderNC.data"><code class="docutils literal notranslate"><span class="pre">LoaderNC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.nc.LoaderNC.file_paths"><code class="docutils literal notranslate"><span class="pre">LoaderNC.file_paths</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.nc.LoaderNC.post_init_log"><code class="docutils literal notranslate"><span class="pre">LoaderNC.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.nc.LoaderNC.shape"><code class="docutils literal notranslate"><span class="pre">LoaderNC.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.nc.LoaderNC.wrap"><code class="docutils literal notranslate"><span class="pre">LoaderNC.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-loaders-nc-loadernc">
+<h1>sup3r.preprocessing.loaders.nc.LoaderNC<a class="headerlink" href="#sup3r-preprocessing-loaders-nc-loadernc" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.nc.LoaderNC">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">LoaderNC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">res_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">BaseLoader</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/loaders/nc.html#LoaderNC"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.loaders.nc.LoaderNC" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.loaders.base.BaseLoader.html#sup3r.preprocessing.loaders.base.BaseLoader" title="sup3r.preprocessing.loaders.base.BaseLoader"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseLoader</span></code></a></p>
+<p>Base NETCDF loader. “Loads” netcdf files so that a <code class="docutils literal notranslate"><span class="pre">.data</span></code> attribute
+provides access to the data in the files. This object provides a
+<code class="docutils literal notranslate"><span class="pre">__getitem__</span></code> method that can be used by Sampler objects to build batches
+or by other objects to derive / extract specific features / regions /
+time_periods.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_paths</strong> (<em>str | pathlib.Path | list</em>) – Location(s) of files to load</p></li>
+<li><p><strong>features</strong> (<em>list | str</em>) – Features to return in loaded dataset. If ‘all’ then all available
+features will be returned.</p></li>
+<li><p><strong>res_kwargs</strong> (<em>dict</em>) – Additional keyword arguments passed through to the <code class="docutils literal notranslate"><span class="pre">BaseLoader</span></code>.
+BaseLoader is usually xr.open_mfdataset for NETCDF files and
+MultiFileResourceX for H5 files.</p></li>
+<li><p><strong>chunks</strong> (<em>dict | str | None</em>) – Dictionary of chunk sizes to pass through to
+<code class="docutils literal notranslate"><span class="pre">dask.array.from_array()</span></code> or <code class="docutils literal notranslate"><span class="pre">xr.Dataset().chunk()</span></code>. Will be
+converted to a tuple when used in <code class="docutils literal notranslate"><span class="pre">from_array()</span></code>. These are the
+methods for H5 and NETCDF data, respectively. This argument can
+be “auto” in additional to a dictionary. If this is None then the
+data will not be chunked and instead loaded directly into memory.</p></li>
+<li><p><strong>BaseLoader</strong> (<em>Callable</em>) – Optional base loader update. The default for H5 files is
+MultiFileResourceX and for NETCDF is xarray.open_mfdataset</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.loaders.nc.LoaderNC.BASE_LOADER" title="sup3r.preprocessing.loaders.nc.LoaderNC.BASE_LOADER"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BASE_LOADER</span></code></a>(file_paths, **kwargs)</p></td>
+<td><p>Lowest level interface to data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.loaders.nc.LoaderNC.get_coords" title="sup3r.preprocessing.loaders.nc.LoaderNC.get_coords"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_coords</span></code></a>(res)</p></td>
+<td><p>Get coordinate dictionary to use in <code class="docutils literal notranslate"><span class="pre">xr.Dataset().assign_coords()</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.loaders.nc.LoaderNC.get_dims" title="sup3r.preprocessing.loaders.nc.LoaderNC.get_dims"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_dims</span></code></a>(res)</p></td>
+<td><p>Get dimension name map using our standard mappping and the names used for coordinate dimensions.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.loaders.nc.LoaderNC.post_init_log" title="sup3r.preprocessing.loaders.nc.LoaderNC.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.loaders.nc.LoaderNC.wrap" title="sup3r.preprocessing.loaders.nc.LoaderNC.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.loaders.nc.LoaderNC.data" title="sup3r.preprocessing.loaders.nc.LoaderNC.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.loaders.nc.LoaderNC.file_paths" title="sup3r.preprocessing.loaders.nc.LoaderNC.file_paths"><code class="xref py py-obj docutils literal notranslate"><span class="pre">file_paths</span></code></a></p></td>
+<td><p>Get file paths for input data</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.loaders.nc.LoaderNC.shape" title="sup3r.preprocessing.loaders.nc.LoaderNC.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.nc.LoaderNC.BASE_LOADER">
+<span class="sig-name descname"><span class="pre">BASE_LOADER</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/loaders/nc.html#LoaderNC.BASE_LOADER"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.loaders.nc.LoaderNC.BASE_LOADER" title="Link to this definition">#</a></dt>
+<dd><p>Lowest level interface to data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.nc.LoaderNC.get_coords">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_coords</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">res</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/loaders/nc.html#LoaderNC.get_coords"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.loaders.nc.LoaderNC.get_coords" title="Link to this definition">#</a></dt>
+<dd><p>Get coordinate dictionary to use in
+<code class="docutils literal notranslate"><span class="pre">xr.Dataset().assign_coords()</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.nc.LoaderNC.get_dims">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_dims</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">res</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/loaders/nc.html#LoaderNC.get_dims"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.loaders.nc.LoaderNC.get_dims" title="Link to this definition">#</a></dt>
+<dd><p>Get dimension name map using our standard mappping and the names
+used for coordinate dimensions.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.nc.LoaderNC.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.loaders.nc.LoaderNC.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.loaders.nc.LoaderNC.wrap" title="sup3r.preprocessing.loaders.nc.LoaderNC.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.nc.LoaderNC.file_paths">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">file_paths</span></span><a class="headerlink" href="#sup3r.preprocessing.loaders.nc.LoaderNC.file_paths" title="Link to this definition">#</a></dt>
+<dd><p>Get file paths for input data</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.nc.LoaderNC.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.loaders.nc.LoaderNC.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.nc.LoaderNC.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.loaders.nc.LoaderNC.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.nc.LoaderNC.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.loaders.nc.LoaderNC.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.nc.LoaderNC"><code class="docutils literal notranslate"><span class="pre">LoaderNC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.nc.LoaderNC.BASE_LOADER"><code class="docutils literal notranslate"><span class="pre">LoaderNC.BASE_LOADER()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.nc.LoaderNC.get_coords"><code class="docutils literal notranslate"><span class="pre">LoaderNC.get_coords()</span></code></a></li>
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+  <section id="module-sup3r.preprocessing.loaders.nc">
+<span id="sup3r-preprocessing-loaders-nc"></span><h1>sup3r.preprocessing.loaders.nc<a class="headerlink" href="#module-sup3r.preprocessing.loaders.nc" title="Link to this heading">#</a></h1>
+<p>Base loading classes. These are containers which also load data from
+file_paths and include some sampling ability to interface with batcher
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+  <section id="module-sup3r.preprocessing.loaders.utilities">
+<span id="sup3r-preprocessing-loaders-utilities"></span><h1>sup3r.preprocessing.loaders.utilities<a class="headerlink" href="#module-sup3r.preprocessing.loaders.utilities" title="Link to this heading">#</a></h1>
+<p>Utilities used by Loaders.</p>
+<p class="rubric">Functions</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.loaders.utilities.standardize_names.html#sup3r.preprocessing.loaders.utilities.standardize_names" title="sup3r.preprocessing.loaders.utilities.standardize_names"><code class="xref py py-obj docutils literal notranslate"><span class="pre">standardize_names</span></code></a>(data, standard_names)</p></td>
+<td><p>Standardize fields in the dataset using the <cite>standard_names</cite> dictionary.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.loaders.utilities.standardize_values.html#sup3r.preprocessing.loaders.utilities.standardize_values" title="sup3r.preprocessing.loaders.utilities.standardize_values"><code class="xref py py-obj docutils literal notranslate"><span class="pre">standardize_values</span></code></a>(data)</p></td>
+<td><p>Standardize units and coordinate values.</p></td>
+</tr>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.utilities.standardize_names"><code class="docutils literal notranslate"><span class="pre">standardize_names()</span></code></a></li>
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+  <section id="sup3r-preprocessing-loaders-utilities-standardize-names">
+<h1>sup3r.preprocessing.loaders.utilities.standardize_names<a class="headerlink" href="#sup3r-preprocessing-loaders-utilities-standardize-names" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.utilities.standardize_names">
+<span class="sig-name descname"><span class="pre">standardize_names</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">standard_names</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/loaders/utilities.html#standardize_names"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.loaders.utilities.standardize_names" title="Link to this definition">#</a></dt>
+<dd><p>Standardize fields in the dataset using the <cite>standard_names</cite>
+dictionary.</p>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.loaders.utilities.standardize_values"><code class="docutils literal notranslate"><span class="pre">standardize_values()</span></code></a></li>
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+  <section id="sup3r-preprocessing-loaders-utilities-standardize-values">
+<h1>sup3r.preprocessing.loaders.utilities.standardize_values<a class="headerlink" href="#sup3r-preprocessing-loaders-utilities-standardize-values" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.loaders.utilities.standardize_values">
+<span class="sig-name descname"><span class="pre">standardize_values</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/loaders/utilities.html#standardize_values"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.loaders.utilities.standardize_values" title="Link to this definition">#</a></dt>
+<dd><p>Standardize units and coordinate values. e.g. All temperatures in
+celsius, all longitudes between -180 and 180, etc.</p>
+<dl class="simple">
+<dt>data<span class="classifier">xr.Dataset</span></dt><dd><p>xarray dataset to be updated with standardized values.</p>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension"><code class="docutils literal notranslate"><span class="pre">Dimension</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.order"><code class="docutils literal notranslate"><span class="pre">Dimension.order()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.flat_2d"><code class="docutils literal notranslate"><span class="pre">Dimension.flat_2d()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.dims_2d"><code class="docutils literal notranslate"><span class="pre">Dimension.dims_2d()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.coords_2d"><code class="docutils literal notranslate"><span class="pre">Dimension.coords_2d()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.coords_3d"><code class="docutils literal notranslate"><span class="pre">Dimension.coords_3d()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.dims_3d"><code class="docutils literal notranslate"><span class="pre">Dimension.dims_3d()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.dims_4d"><code class="docutils literal notranslate"><span class="pre">Dimension.dims_4d()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.coords_4d_pres"><code class="docutils literal notranslate"><span class="pre">Dimension.coords_4d_pres()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.coords_4d"><code class="docutils literal notranslate"><span class="pre">Dimension.coords_4d()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.dims_4d_pres"><code class="docutils literal notranslate"><span class="pre">Dimension.dims_4d_pres()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.dims_3d_bc"><code class="docutils literal notranslate"><span class="pre">Dimension.dims_3d_bc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.dims_4d_bc"><code class="docutils literal notranslate"><span class="pre">Dimension.dims_4d_bc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.__add__"><code class="docutils literal notranslate"><span class="pre">Dimension.__add__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.__mul__"><code class="docutils literal notranslate"><span class="pre">Dimension.__mul__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.encode"><code class="docutils literal notranslate"><span class="pre">Dimension.encode()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.replace"><code class="docutils literal notranslate"><span class="pre">Dimension.replace()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.split"><code class="docutils literal notranslate"><span class="pre">Dimension.split()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.rsplit"><code class="docutils literal notranslate"><span class="pre">Dimension.rsplit()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.join"><code class="docutils literal notranslate"><span class="pre">Dimension.join()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.capitalize"><code class="docutils literal notranslate"><span class="pre">Dimension.capitalize()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.casefold"><code class="docutils literal notranslate"><span class="pre">Dimension.casefold()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.title"><code class="docutils literal notranslate"><span class="pre">Dimension.title()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.center"><code class="docutils literal notranslate"><span class="pre">Dimension.center()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.count"><code class="docutils literal notranslate"><span class="pre">Dimension.count()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.expandtabs"><code class="docutils literal notranslate"><span class="pre">Dimension.expandtabs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.find"><code class="docutils literal notranslate"><span class="pre">Dimension.find()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.partition"><code class="docutils literal notranslate"><span class="pre">Dimension.partition()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.index"><code class="docutils literal notranslate"><span class="pre">Dimension.index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.ljust"><code class="docutils literal notranslate"><span class="pre">Dimension.ljust()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.lower"><code class="docutils literal notranslate"><span class="pre">Dimension.lower()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.lstrip"><code class="docutils literal notranslate"><span class="pre">Dimension.lstrip()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.rfind"><code class="docutils literal notranslate"><span class="pre">Dimension.rfind()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.rindex"><code class="docutils literal notranslate"><span class="pre">Dimension.rindex()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.rjust"><code class="docutils literal notranslate"><span class="pre">Dimension.rjust()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.rstrip"><code class="docutils literal notranslate"><span class="pre">Dimension.rstrip()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.rpartition"><code class="docutils literal notranslate"><span class="pre">Dimension.rpartition()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.splitlines"><code class="docutils literal notranslate"><span class="pre">Dimension.splitlines()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.strip"><code class="docutils literal notranslate"><span class="pre">Dimension.strip()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.swapcase"><code class="docutils literal notranslate"><span class="pre">Dimension.swapcase()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.translate"><code class="docutils literal notranslate"><span class="pre">Dimension.translate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.upper"><code class="docutils literal notranslate"><span class="pre">Dimension.upper()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.startswith"><code class="docutils literal notranslate"><span class="pre">Dimension.startswith()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.endswith"><code class="docutils literal notranslate"><span class="pre">Dimension.endswith()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.removeprefix"><code class="docutils literal notranslate"><span class="pre">Dimension.removeprefix()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.removesuffix"><code class="docutils literal notranslate"><span class="pre">Dimension.removesuffix()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.isascii"><code class="docutils literal notranslate"><span class="pre">Dimension.isascii()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.islower"><code class="docutils literal notranslate"><span class="pre">Dimension.islower()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.isupper"><code class="docutils literal notranslate"><span class="pre">Dimension.isupper()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.istitle"><code class="docutils literal notranslate"><span class="pre">Dimension.istitle()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.isspace"><code class="docutils literal notranslate"><span class="pre">Dimension.isspace()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.isdecimal"><code class="docutils literal notranslate"><span class="pre">Dimension.isdecimal()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.isdigit"><code class="docutils literal notranslate"><span class="pre">Dimension.isdigit()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.isnumeric"><code class="docutils literal notranslate"><span class="pre">Dimension.isnumeric()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.isalpha"><code class="docutils literal notranslate"><span class="pre">Dimension.isalpha()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.isalnum"><code class="docutils literal notranslate"><span class="pre">Dimension.isalnum()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.isidentifier"><code class="docutils literal notranslate"><span class="pre">Dimension.isidentifier()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.isprintable"><code class="docutils literal notranslate"><span class="pre">Dimension.isprintable()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.zfill"><code class="docutils literal notranslate"><span class="pre">Dimension.zfill()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.format"><code class="docutils literal notranslate"><span class="pre">Dimension.format()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.format_map"><code class="docutils literal notranslate"><span class="pre">Dimension.format_map()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.maketrans"><code class="docutils literal notranslate"><span class="pre">Dimension.maketrans()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-names-dimension">
+<h1>sup3r.preprocessing.names.Dimension<a class="headerlink" href="#sup3r-preprocessing-names-dimension" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Dimension</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/names.html#Dimension"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.names.Dimension" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a>, <a class="reference external" href="https://docs.python.org/3/library/enum.html#enum.Enum" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Enum</span></code></a></p>
+<p>Dimension names used for Sup3rX accessor.</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.encode" title="sup3r.preprocessing.names.Dimension.encode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">encode</span></code></a>([encoding, errors])</p></td>
+<td><p>Encode the string using the codec registered for encoding.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.replace" title="sup3r.preprocessing.names.Dimension.replace"><code class="xref py py-obj docutils literal notranslate"><span class="pre">replace</span></code></a>(old, new[, count])</p></td>
+<td><p>Return a copy with all occurrences of substring old replaced by new.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.split" title="sup3r.preprocessing.names.Dimension.split"><code class="xref py py-obj docutils literal notranslate"><span class="pre">split</span></code></a>([sep, maxsplit])</p></td>
+<td><p>Return a list of the substrings in the string, using sep as the separator string.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.rsplit" title="sup3r.preprocessing.names.Dimension.rsplit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rsplit</span></code></a>([sep, maxsplit])</p></td>
+<td><p>Return a list of the substrings in the string, using sep as the separator string.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.join" title="sup3r.preprocessing.names.Dimension.join"><code class="xref py py-obj docutils literal notranslate"><span class="pre">join</span></code></a>(iterable, /)</p></td>
+<td><p>Concatenate any number of strings.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.capitalize" title="sup3r.preprocessing.names.Dimension.capitalize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">capitalize</span></code></a>()</p></td>
+<td><p>Return a capitalized version of the string.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.casefold" title="sup3r.preprocessing.names.Dimension.casefold"><code class="xref py py-obj docutils literal notranslate"><span class="pre">casefold</span></code></a>()</p></td>
+<td><p>Return a version of the string suitable for caseless comparisons.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.title" title="sup3r.preprocessing.names.Dimension.title"><code class="xref py py-obj docutils literal notranslate"><span class="pre">title</span></code></a>()</p></td>
+<td><p>Return a version of the string where each word is titlecased.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.center" title="sup3r.preprocessing.names.Dimension.center"><code class="xref py py-obj docutils literal notranslate"><span class="pre">center</span></code></a>(width[, fillchar])</p></td>
+<td><p>Return a centered string of length width.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.count" title="sup3r.preprocessing.names.Dimension.count"><code class="xref py py-obj docutils literal notranslate"><span class="pre">count</span></code></a>(sub[, start[, end]])</p></td>
+<td><p>Return the number of non-overlapping occurrences of substring sub in string S[start:end].</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.expandtabs" title="sup3r.preprocessing.names.Dimension.expandtabs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">expandtabs</span></code></a>([tabsize])</p></td>
+<td><p>Return a copy where all tab characters are expanded using spaces.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.find" title="sup3r.preprocessing.names.Dimension.find"><code class="xref py py-obj docutils literal notranslate"><span class="pre">find</span></code></a>(sub[, start[, end]])</p></td>
+<td><p>Return the lowest index in S where substring sub is found, such that sub is contained within S[start:end].</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.partition" title="sup3r.preprocessing.names.Dimension.partition"><code class="xref py py-obj docutils literal notranslate"><span class="pre">partition</span></code></a>(sep, /)</p></td>
+<td><p>Partition the string into three parts using the given separator.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.index" title="sup3r.preprocessing.names.Dimension.index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">index</span></code></a>(sub[, start[, end]])</p></td>
+<td><p>Return the lowest index in S where substring sub is found, such that sub is contained within S[start:end].</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.ljust" title="sup3r.preprocessing.names.Dimension.ljust"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ljust</span></code></a>(width[, fillchar])</p></td>
+<td><p>Return a left-justified string of length width.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.lower" title="sup3r.preprocessing.names.Dimension.lower"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lower</span></code></a>()</p></td>
+<td><p>Return a copy of the string converted to lowercase.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.lstrip" title="sup3r.preprocessing.names.Dimension.lstrip"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lstrip</span></code></a>([chars])</p></td>
+<td><p>Return a copy of the string with leading whitespace removed.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.rfind" title="sup3r.preprocessing.names.Dimension.rfind"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rfind</span></code></a>(sub[, start[, end]])</p></td>
+<td><p>Return the highest index in S where substring sub is found, such that sub is contained within S[start:end].</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.rindex" title="sup3r.preprocessing.names.Dimension.rindex"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rindex</span></code></a>(sub[, start[, end]])</p></td>
+<td><p>Return the highest index in S where substring sub is found, such that sub is contained within S[start:end].</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.rjust" title="sup3r.preprocessing.names.Dimension.rjust"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rjust</span></code></a>(width[, fillchar])</p></td>
+<td><p>Return a right-justified string of length width.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.rstrip" title="sup3r.preprocessing.names.Dimension.rstrip"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rstrip</span></code></a>([chars])</p></td>
+<td><p>Return a copy of the string with trailing whitespace removed.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.rpartition" title="sup3r.preprocessing.names.Dimension.rpartition"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rpartition</span></code></a>(sep, /)</p></td>
+<td><p>Partition the string into three parts using the given separator.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.splitlines" title="sup3r.preprocessing.names.Dimension.splitlines"><code class="xref py py-obj docutils literal notranslate"><span class="pre">splitlines</span></code></a>([keepends])</p></td>
+<td><p>Return a list of the lines in the string, breaking at line boundaries.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.strip" title="sup3r.preprocessing.names.Dimension.strip"><code class="xref py py-obj docutils literal notranslate"><span class="pre">strip</span></code></a>([chars])</p></td>
+<td><p>Return a copy of the string with leading and trailing whitespace removed.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.swapcase" title="sup3r.preprocessing.names.Dimension.swapcase"><code class="xref py py-obj docutils literal notranslate"><span class="pre">swapcase</span></code></a>()</p></td>
+<td><p>Convert uppercase characters to lowercase and lowercase characters to uppercase.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.translate" title="sup3r.preprocessing.names.Dimension.translate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">translate</span></code></a>(table, /)</p></td>
+<td><p>Replace each character in the string using the given translation table.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.upper" title="sup3r.preprocessing.names.Dimension.upper"><code class="xref py py-obj docutils literal notranslate"><span class="pre">upper</span></code></a>()</p></td>
+<td><p>Return a copy of the string converted to uppercase.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.startswith" title="sup3r.preprocessing.names.Dimension.startswith"><code class="xref py py-obj docutils literal notranslate"><span class="pre">startswith</span></code></a>(prefix[, start[, end]])</p></td>
+<td><p>Return True if S starts with the specified prefix, False otherwise.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.endswith" title="sup3r.preprocessing.names.Dimension.endswith"><code class="xref py py-obj docutils literal notranslate"><span class="pre">endswith</span></code></a>(suffix[, start[, end]])</p></td>
+<td><p>Return True if S ends with the specified suffix, False otherwise.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.removeprefix" title="sup3r.preprocessing.names.Dimension.removeprefix"><code class="xref py py-obj docutils literal notranslate"><span class="pre">removeprefix</span></code></a>(prefix, /)</p></td>
+<td><p>Return a str with the given prefix string removed if present.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.removesuffix" title="sup3r.preprocessing.names.Dimension.removesuffix"><code class="xref py py-obj docutils literal notranslate"><span class="pre">removesuffix</span></code></a>(suffix, /)</p></td>
+<td><p>Return a str with the given suffix string removed if present.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.isascii" title="sup3r.preprocessing.names.Dimension.isascii"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isascii</span></code></a>()</p></td>
+<td><p>Return True if all characters in the string are ASCII, False otherwise.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.islower" title="sup3r.preprocessing.names.Dimension.islower"><code class="xref py py-obj docutils literal notranslate"><span class="pre">islower</span></code></a>()</p></td>
+<td><p>Return True if the string is a lowercase string, False otherwise.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.isupper" title="sup3r.preprocessing.names.Dimension.isupper"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isupper</span></code></a>()</p></td>
+<td><p>Return True if the string is an uppercase string, False otherwise.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.istitle" title="sup3r.preprocessing.names.Dimension.istitle"><code class="xref py py-obj docutils literal notranslate"><span class="pre">istitle</span></code></a>()</p></td>
+<td><p>Return True if the string is a title-cased string, False otherwise.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.isspace" title="sup3r.preprocessing.names.Dimension.isspace"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isspace</span></code></a>()</p></td>
+<td><p>Return True if the string is a whitespace string, False otherwise.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.isdecimal" title="sup3r.preprocessing.names.Dimension.isdecimal"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isdecimal</span></code></a>()</p></td>
+<td><p>Return True if the string is a decimal string, False otherwise.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.isdigit" title="sup3r.preprocessing.names.Dimension.isdigit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isdigit</span></code></a>()</p></td>
+<td><p>Return True if the string is a digit string, False otherwise.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.isnumeric" title="sup3r.preprocessing.names.Dimension.isnumeric"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isnumeric</span></code></a>()</p></td>
+<td><p>Return True if the string is a numeric string, False otherwise.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.isalpha" title="sup3r.preprocessing.names.Dimension.isalpha"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isalpha</span></code></a>()</p></td>
+<td><p>Return True if the string is an alphabetic string, False otherwise.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.isalnum" title="sup3r.preprocessing.names.Dimension.isalnum"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isalnum</span></code></a>()</p></td>
+<td><p>Return True if the string is an alpha-numeric string, False otherwise.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.isidentifier" title="sup3r.preprocessing.names.Dimension.isidentifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isidentifier</span></code></a>()</p></td>
+<td><p>Return True if the string is a valid Python identifier, False otherwise.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.isprintable" title="sup3r.preprocessing.names.Dimension.isprintable"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isprintable</span></code></a>()</p></td>
+<td><p>Return True if the string is printable, False otherwise.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.zfill" title="sup3r.preprocessing.names.Dimension.zfill"><code class="xref py py-obj docutils literal notranslate"><span class="pre">zfill</span></code></a>(width, /)</p></td>
+<td><p>Pad a numeric string with zeros on the left, to fill a field of the given width.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.format" title="sup3r.preprocessing.names.Dimension.format"><code class="xref py py-obj docutils literal notranslate"><span class="pre">format</span></code></a>(*args, **kwargs)</p></td>
+<td><p>Return a formatted version of S, using substitutions from args and kwargs.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.format_map" title="sup3r.preprocessing.names.Dimension.format_map"><code class="xref py py-obj docutils literal notranslate"><span class="pre">format_map</span></code></a>(mapping)</p></td>
+<td><p>Return a formatted version of S, using substitutions from mapping.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.maketrans" title="sup3r.preprocessing.names.Dimension.maketrans"><code class="xref py py-obj docutils literal notranslate"><span class="pre">maketrans</span></code></a></p></td>
+<td><p>Return a translation table usable for str.translate().</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.order" title="sup3r.preprocessing.names.Dimension.order"><code class="xref py py-obj docutils literal notranslate"><span class="pre">order</span></code></a>()</p></td>
+<td><p>Return standard dimension order.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.flat_2d" title="sup3r.preprocessing.names.Dimension.flat_2d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">flat_2d</span></code></a>()</p></td>
+<td><p>Return ordered tuple for 2d flattened data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.dims_2d" title="sup3r.preprocessing.names.Dimension.dims_2d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dims_2d</span></code></a>()</p></td>
+<td><p>Return ordered tuple for 2d spatial dimensions.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.coords_2d" title="sup3r.preprocessing.names.Dimension.coords_2d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">coords_2d</span></code></a>()</p></td>
+<td><p>Return ordered tuple for 2d spatial coordinates.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.coords_3d" title="sup3r.preprocessing.names.Dimension.coords_3d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">coords_3d</span></code></a>()</p></td>
+<td><p>Return ordered tuple for 3d spatiotemporal coordinates.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.dims_3d" title="sup3r.preprocessing.names.Dimension.dims_3d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dims_3d</span></code></a>()</p></td>
+<td><p>Return ordered tuple for 3d spatiotemporal dimensions.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.dims_4d" title="sup3r.preprocessing.names.Dimension.dims_4d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dims_4d</span></code></a>()</p></td>
+<td><p>Return ordered tuple for 4d spatiotemporal dimensions.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.coords_4d_pres" title="sup3r.preprocessing.names.Dimension.coords_4d_pres"><code class="xref py py-obj docutils literal notranslate"><span class="pre">coords_4d_pres</span></code></a>()</p></td>
+<td><p>Return ordered tuple for 4d coordinates, with a pressure level.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.coords_4d" title="sup3r.preprocessing.names.Dimension.coords_4d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">coords_4d</span></code></a>()</p></td>
+<td><p>Return ordered tuple for 4d coordinates, with a height level.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.dims_4d_pres" title="sup3r.preprocessing.names.Dimension.dims_4d_pres"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dims_4d_pres</span></code></a>()</p></td>
+<td><p>Return ordered tuple for 4d spatiotemporal dimensions with vertical pressure levels</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.dims_3d_bc" title="sup3r.preprocessing.names.Dimension.dims_3d_bc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dims_3d_bc</span></code></a>()</p></td>
+<td><p>Return ordered tuple for 3d spatiotemporal dimensions.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.names.Dimension.dims_4d_bc" title="sup3r.preprocessing.names.Dimension.dims_4d_bc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dims_4d_bc</span></code></a>()</p></td>
+<td><p>Return ordered tuple for 4d spatiotemporal dimensions specifically for bias correction factor files.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">FLATTENED_SPATIAL</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">SOUTH_NORTH</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">WEST_EAST</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">TIME</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">PRESSURE_LEVEL</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">HEIGHT</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">VARIABLE</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">LATITUDE</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">LONGITUDE</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">QUANTILE</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">GLOBAL_TIME</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.order">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">order</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/names.html#Dimension.order"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.order" title="Link to this definition">#</a></dt>
+<dd><p>Return standard dimension order.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.flat_2d">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">flat_2d</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/names.html#Dimension.flat_2d"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.flat_2d" title="Link to this definition">#</a></dt>
+<dd><p>Return ordered tuple for 2d flattened data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.dims_2d">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">dims_2d</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/names.html#Dimension.dims_2d"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.dims_2d" title="Link to this definition">#</a></dt>
+<dd><p>Return ordered tuple for 2d spatial dimensions. Usually
+(south_north, west_east)</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.coords_2d">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">coords_2d</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/names.html#Dimension.coords_2d"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.coords_2d" title="Link to this definition">#</a></dt>
+<dd><p>Return ordered tuple for 2d spatial coordinates.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.coords_3d">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">coords_3d</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/names.html#Dimension.coords_3d"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.coords_3d" title="Link to this definition">#</a></dt>
+<dd><p>Return ordered tuple for 3d spatiotemporal coordinates.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.dims_3d">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">dims_3d</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/names.html#Dimension.dims_3d"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.dims_3d" title="Link to this definition">#</a></dt>
+<dd><p>Return ordered tuple for 3d spatiotemporal dimensions.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.dims_4d">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">dims_4d</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/names.html#Dimension.dims_4d"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.dims_4d" title="Link to this definition">#</a></dt>
+<dd><p>Return ordered tuple for 4d spatiotemporal dimensions.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.coords_4d_pres">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">coords_4d_pres</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/names.html#Dimension.coords_4d_pres"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.coords_4d_pres" title="Link to this definition">#</a></dt>
+<dd><p>Return ordered tuple for 4d coordinates, with a pressure level.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.coords_4d">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">coords_4d</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/names.html#Dimension.coords_4d"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.coords_4d" title="Link to this definition">#</a></dt>
+<dd><p>Return ordered tuple for 4d coordinates, with a height level.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.dims_4d_pres">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">dims_4d_pres</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/names.html#Dimension.dims_4d_pres"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.dims_4d_pres" title="Link to this definition">#</a></dt>
+<dd><p>Return ordered tuple for 4d spatiotemporal dimensions with vertical
+pressure levels</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.dims_3d_bc">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">dims_3d_bc</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/names.html#Dimension.dims_3d_bc"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.dims_3d_bc" title="Link to this definition">#</a></dt>
+<dd><p>Return ordered tuple for 3d spatiotemporal dimensions.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.dims_4d_bc">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">dims_4d_bc</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/names.html#Dimension.dims_4d_bc"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.dims_4d_bc" title="Link to this definition">#</a></dt>
+<dd><p>Return ordered tuple for 4d spatiotemporal dimensions specifically
+for bias correction factor files.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.encode">
+<span class="sig-name descname"><span class="pre">encode</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">encoding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'utf-8'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">errors</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'strict'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.encode" title="Link to this definition">#</a></dt>
+<dd><p>Encode the string using the codec registered for encoding.</p>
+<dl class="simple">
+<dt>encoding</dt><dd><p>The encoding in which to encode the string.</p>
+</dd>
+<dt>errors</dt><dd><p>The error handling scheme to use for encoding errors.
+The default is ‘strict’ meaning that encoding errors raise a
+UnicodeEncodeError.  Other possible values are ‘ignore’, ‘replace’ and
+‘xmlcharrefreplace’ as well as any other name registered with
+codecs.register_error that can handle UnicodeEncodeErrors.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.replace">
+<span class="sig-name descname"><span class="pre">replace</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">old</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">count</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.replace" title="Link to this definition">#</a></dt>
+<dd><p>Return a copy with all occurrences of substring old replaced by new.</p>
+<blockquote>
+<div><dl class="simple">
+<dt>count</dt><dd><p>Maximum number of occurrences to replace.
+-1 (the default value) means replace all occurrences.</p>
+</dd>
+</dl>
+</div></blockquote>
+<p>If the optional argument count is given, only the first count occurrences are
+replaced.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.split">
+<span class="sig-name descname"><span class="pre">split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maxsplit</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.split" title="Link to this definition">#</a></dt>
+<dd><p>Return a list of the substrings in the string, using sep as the separator string.</p>
+<blockquote>
+<div><dl>
+<dt>sep</dt><dd><p>The separator used to split the string.</p>
+<p>When set to None (the default value), will split on any whitespace
+character (including \n \r \t \f and spaces) and will discard
+empty strings from the result.</p>
+</dd>
+<dt>maxsplit</dt><dd><p>Maximum number of splits (starting from the left).
+-1 (the default value) means no limit.</p>
+</dd>
+</dl>
+</div></blockquote>
+<p>Note, str.split() is mainly useful for data that has been intentionally
+delimited.  With natural text that includes punctuation, consider using
+the regular expression module.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.rsplit">
+<span class="sig-name descname"><span class="pre">rsplit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maxsplit</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.rsplit" title="Link to this definition">#</a></dt>
+<dd><p>Return a list of the substrings in the string, using sep as the separator string.</p>
+<blockquote>
+<div><dl>
+<dt>sep</dt><dd><p>The separator used to split the string.</p>
+<p>When set to None (the default value), will split on any whitespace
+character (including \n \r \t \f and spaces) and will discard
+empty strings from the result.</p>
+</dd>
+<dt>maxsplit</dt><dd><p>Maximum number of splits (starting from the left).
+-1 (the default value) means no limit.</p>
+</dd>
+</dl>
+</div></blockquote>
+<p>Splitting starts at the end of the string and works to the front.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.join">
+<span class="sig-name descname"><span class="pre">join</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">iterable</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.join" title="Link to this definition">#</a></dt>
+<dd><p>Concatenate any number of strings.</p>
+<p>The string whose method is called is inserted in between each given string.
+The result is returned as a new string.</p>
+<p>Example: ‘.’.join([‘ab’, ‘pq’, ‘rs’]) -&gt; ‘ab.pq.rs’</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.capitalize">
+<span class="sig-name descname"><span class="pre">capitalize</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.capitalize" title="Link to this definition">#</a></dt>
+<dd><p>Return a capitalized version of the string.</p>
+<p>More specifically, make the first character have upper case and the rest lower
+case.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.casefold">
+<span class="sig-name descname"><span class="pre">casefold</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.casefold" title="Link to this definition">#</a></dt>
+<dd><p>Return a version of the string suitable for caseless comparisons.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.title">
+<span class="sig-name descname"><span class="pre">title</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.title" title="Link to this definition">#</a></dt>
+<dd><p>Return a version of the string where each word is titlecased.</p>
+<p>More specifically, words start with uppercased characters and all remaining
+cased characters have lower case.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.center">
+<span class="sig-name descname"><span class="pre">center</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">width</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fillchar</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.center" title="Link to this definition">#</a></dt>
+<dd><p>Return a centered string of length width.</p>
+<p>Padding is done using the specified fill character (default is a space).</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sub</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">start</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">end</span></span></em><span class="optional">]</span><span class="optional">]</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.count" title="Link to this definition">#</a></dt>
+<dd><p>Return the number of non-overlapping occurrences of substring sub in
+string S[start:end].  Optional arguments start and end are
+interpreted as in slice notation.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.expandtabs">
+<span class="sig-name descname"><span class="pre">expandtabs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tabsize</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.expandtabs" title="Link to this definition">#</a></dt>
+<dd><p>Return a copy where all tab characters are expanded using spaces.</p>
+<p>If tabsize is not given, a tab size of 8 characters is assumed.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.find">
+<span class="sig-name descname"><span class="pre">find</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sub</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">start</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">end</span></span></em><span class="optional">]</span><span class="optional">]</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.find" title="Link to this definition">#</a></dt>
+<dd><p>Return the lowest index in S where substring sub is found,
+such that sub is contained within S[start:end].  Optional
+arguments start and end are interpreted as in slice notation.</p>
+<p>Return -1 on failure.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.partition">
+<span class="sig-name descname"><span class="pre">partition</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sep</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.partition" title="Link to this definition">#</a></dt>
+<dd><p>Partition the string into three parts using the given separator.</p>
+<p>This will search for the separator in the string.  If the separator is found,
+returns a 3-tuple containing the part before the separator, the separator
+itself, and the part after it.</p>
+<p>If the separator is not found, returns a 3-tuple containing the original string
+and two empty strings.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sub</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">start</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">end</span></span></em><span class="optional">]</span><span class="optional">]</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.index" title="Link to this definition">#</a></dt>
+<dd><p>Return the lowest index in S where substring sub is found,
+such that sub is contained within S[start:end].  Optional
+arguments start and end are interpreted as in slice notation.</p>
+<p>Raises ValueError when the substring is not found.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.ljust">
+<span class="sig-name descname"><span class="pre">ljust</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">width</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fillchar</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.ljust" title="Link to this definition">#</a></dt>
+<dd><p>Return a left-justified string of length width.</p>
+<p>Padding is done using the specified fill character (default is a space).</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.lower">
+<span class="sig-name descname"><span class="pre">lower</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.lower" title="Link to this definition">#</a></dt>
+<dd><p>Return a copy of the string converted to lowercase.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.lstrip">
+<span class="sig-name descname"><span class="pre">lstrip</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">chars</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.lstrip" title="Link to this definition">#</a></dt>
+<dd><p>Return a copy of the string with leading whitespace removed.</p>
+<p>If chars is given and not None, remove characters in chars instead.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.rfind">
+<span class="sig-name descname"><span class="pre">rfind</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sub</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">start</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">end</span></span></em><span class="optional">]</span><span class="optional">]</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.rfind" title="Link to this definition">#</a></dt>
+<dd><p>Return the highest index in S where substring sub is found,
+such that sub is contained within S[start:end].  Optional
+arguments start and end are interpreted as in slice notation.</p>
+<p>Return -1 on failure.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.rindex">
+<span class="sig-name descname"><span class="pre">rindex</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sub</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">start</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">end</span></span></em><span class="optional">]</span><span class="optional">]</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.rindex" title="Link to this definition">#</a></dt>
+<dd><p>Return the highest index in S where substring sub is found,
+such that sub is contained within S[start:end].  Optional
+arguments start and end are interpreted as in slice notation.</p>
+<p>Raises ValueError when the substring is not found.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.rjust">
+<span class="sig-name descname"><span class="pre">rjust</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">width</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fillchar</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.rjust" title="Link to this definition">#</a></dt>
+<dd><p>Return a right-justified string of length width.</p>
+<p>Padding is done using the specified fill character (default is a space).</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.rstrip">
+<span class="sig-name descname"><span class="pre">rstrip</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">chars</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.rstrip" title="Link to this definition">#</a></dt>
+<dd><p>Return a copy of the string with trailing whitespace removed.</p>
+<p>If chars is given and not None, remove characters in chars instead.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.rpartition">
+<span class="sig-name descname"><span class="pre">rpartition</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sep</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.rpartition" title="Link to this definition">#</a></dt>
+<dd><p>Partition the string into three parts using the given separator.</p>
+<p>This will search for the separator in the string, starting at the end. If
+the separator is found, returns a 3-tuple containing the part before the
+separator, the separator itself, and the part after it.</p>
+<p>If the separator is not found, returns a 3-tuple containing two empty strings
+and the original string.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.splitlines">
+<span class="sig-name descname"><span class="pre">splitlines</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">keepends</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.splitlines" title="Link to this definition">#</a></dt>
+<dd><p>Return a list of the lines in the string, breaking at line boundaries.</p>
+<p>Line breaks are not included in the resulting list unless keepends is given and
+true.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.strip">
+<span class="sig-name descname"><span class="pre">strip</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">chars</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.strip" title="Link to this definition">#</a></dt>
+<dd><p>Return a copy of the string with leading and trailing whitespace removed.</p>
+<p>If chars is given and not None, remove characters in chars instead.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.swapcase">
+<span class="sig-name descname"><span class="pre">swapcase</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.swapcase" title="Link to this definition">#</a></dt>
+<dd><p>Convert uppercase characters to lowercase and lowercase characters to uppercase.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.translate">
+<span class="sig-name descname"><span class="pre">translate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">table</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.translate" title="Link to this definition">#</a></dt>
+<dd><p>Replace each character in the string using the given translation table.</p>
+<blockquote>
+<div><dl class="simple">
+<dt>table</dt><dd><p>Translation table, which must be a mapping of Unicode ordinals to
+Unicode ordinals, strings, or None.</p>
+</dd>
+</dl>
+</div></blockquote>
+<p>The table must implement lookup/indexing via __getitem__, for instance a
+dictionary or list.  If this operation raises LookupError, the character is
+left untouched.  Characters mapped to None are deleted.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.upper">
+<span class="sig-name descname"><span class="pre">upper</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.upper" title="Link to this definition">#</a></dt>
+<dd><p>Return a copy of the string converted to uppercase.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.startswith">
+<span class="sig-name descname"><span class="pre">startswith</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prefix</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">start</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">end</span></span></em><span class="optional">]</span><span class="optional">]</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.startswith" title="Link to this definition">#</a></dt>
+<dd><p>Return True if S starts with the specified prefix, False otherwise.
+With optional start, test S beginning at that position.
+With optional end, stop comparing S at that position.
+prefix can also be a tuple of strings to try.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.endswith">
+<span class="sig-name descname"><span class="pre">endswith</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">suffix</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">start</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">end</span></span></em><span class="optional">]</span><span class="optional">]</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.endswith" title="Link to this definition">#</a></dt>
+<dd><p>Return True if S ends with the specified suffix, False otherwise.
+With optional start, test S beginning at that position.
+With optional end, stop comparing S at that position.
+suffix can also be a tuple of strings to try.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.removeprefix">
+<span class="sig-name descname"><span class="pre">removeprefix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prefix</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.removeprefix" title="Link to this definition">#</a></dt>
+<dd><p>Return a str with the given prefix string removed if present.</p>
+<p>If the string starts with the prefix string, return string[len(prefix):].
+Otherwise, return a copy of the original string.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.removesuffix">
+<span class="sig-name descname"><span class="pre">removesuffix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">suffix</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.removesuffix" title="Link to this definition">#</a></dt>
+<dd><p>Return a str with the given suffix string removed if present.</p>
+<p>If the string ends with the suffix string and that suffix is not empty,
+return string[:-len(suffix)]. Otherwise, return a copy of the original
+string.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.isascii">
+<span class="sig-name descname"><span class="pre">isascii</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.isascii" title="Link to this definition">#</a></dt>
+<dd><p>Return True if all characters in the string are ASCII, False otherwise.</p>
+<p>ASCII characters have code points in the range U+0000-U+007F.
+Empty string is ASCII too.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.islower">
+<span class="sig-name descname"><span class="pre">islower</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.islower" title="Link to this definition">#</a></dt>
+<dd><p>Return True if the string is a lowercase string, False otherwise.</p>
+<p>A string is lowercase if all cased characters in the string are lowercase and
+there is at least one cased character in the string.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.isupper">
+<span class="sig-name descname"><span class="pre">isupper</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.isupper" title="Link to this definition">#</a></dt>
+<dd><p>Return True if the string is an uppercase string, False otherwise.</p>
+<p>A string is uppercase if all cased characters in the string are uppercase and
+there is at least one cased character in the string.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.istitle">
+<span class="sig-name descname"><span class="pre">istitle</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.istitle" title="Link to this definition">#</a></dt>
+<dd><p>Return True if the string is a title-cased string, False otherwise.</p>
+<p>In a title-cased string, upper- and title-case characters may only
+follow uncased characters and lowercase characters only cased ones.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.isspace">
+<span class="sig-name descname"><span class="pre">isspace</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.isspace" title="Link to this definition">#</a></dt>
+<dd><p>Return True if the string is a whitespace string, False otherwise.</p>
+<p>A string is whitespace if all characters in the string are whitespace and there
+is at least one character in the string.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.isdecimal">
+<span class="sig-name descname"><span class="pre">isdecimal</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.isdecimal" title="Link to this definition">#</a></dt>
+<dd><p>Return True if the string is a decimal string, False otherwise.</p>
+<p>A string is a decimal string if all characters in the string are decimal and
+there is at least one character in the string.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.isdigit">
+<span class="sig-name descname"><span class="pre">isdigit</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.isdigit" title="Link to this definition">#</a></dt>
+<dd><p>Return True if the string is a digit string, False otherwise.</p>
+<p>A string is a digit string if all characters in the string are digits and there
+is at least one character in the string.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.isnumeric">
+<span class="sig-name descname"><span class="pre">isnumeric</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.isnumeric" title="Link to this definition">#</a></dt>
+<dd><p>Return True if the string is a numeric string, False otherwise.</p>
+<p>A string is numeric if all characters in the string are numeric and there is at
+least one character in the string.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.isalpha">
+<span class="sig-name descname"><span class="pre">isalpha</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.isalpha" title="Link to this definition">#</a></dt>
+<dd><p>Return True if the string is an alphabetic string, False otherwise.</p>
+<p>A string is alphabetic if all characters in the string are alphabetic and there
+is at least one character in the string.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.isalnum">
+<span class="sig-name descname"><span class="pre">isalnum</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.isalnum" title="Link to this definition">#</a></dt>
+<dd><p>Return True if the string is an alpha-numeric string, False otherwise.</p>
+<p>A string is alpha-numeric if all characters in the string are alpha-numeric and
+there is at least one character in the string.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.isidentifier">
+<span class="sig-name descname"><span class="pre">isidentifier</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.isidentifier" title="Link to this definition">#</a></dt>
+<dd><p>Return True if the string is a valid Python identifier, False otherwise.</p>
+<p>Call keyword.iskeyword(s) to test whether string s is a reserved identifier,
+such as “def” or “class”.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.isprintable">
+<span class="sig-name descname"><span class="pre">isprintable</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.isprintable" title="Link to this definition">#</a></dt>
+<dd><p>Return True if the string is printable, False otherwise.</p>
+<p>A string is printable if all of its characters are considered printable in
+repr() or if it is empty.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.zfill">
+<span class="sig-name descname"><span class="pre">zfill</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">width</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.zfill" title="Link to this definition">#</a></dt>
+<dd><p>Pad a numeric string with zeros on the left, to fill a field of the given width.</p>
+<p>The string is never truncated.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.format">
+<span class="sig-name descname"><span class="pre">format</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.format" title="Link to this definition">#</a></dt>
+<dd><p>Return a formatted version of S, using substitutions from args and kwargs.
+The substitutions are identified by braces (‘{’ and ‘}’).</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.format_map">
+<span class="sig-name descname"><span class="pre">format_map</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mapping</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span></span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.format_map" title="Link to this definition">#</a></dt>
+<dd><p>Return a formatted version of S, using substitutions from mapping.
+The substitutions are identified by braces (‘{’ and ‘}’).</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.names.Dimension.maketrans">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">maketrans</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.names.Dimension.maketrans" title="Link to this definition">#</a></dt>
+<dd><p>Return a translation table usable for str.translate().</p>
+<p>If there is only one argument, it must be a dictionary mapping Unicode
+ordinals (integers) or characters to Unicode ordinals, strings or None.
+Character keys will be then converted to ordinals.
+If there are two arguments, they must be strings of equal length, and
+in the resulting dictionary, each character in x will be mapped to the
+character at the same position in y. If there is a third argument, it
+must be a string, whose characters will be mapped to None in the result.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension"><code class="docutils literal notranslate"><span class="pre">Dimension</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.order"><code class="docutils literal notranslate"><span class="pre">Dimension.order()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.flat_2d"><code class="docutils literal notranslate"><span class="pre">Dimension.flat_2d()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.dims_2d"><code class="docutils literal notranslate"><span class="pre">Dimension.dims_2d()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.coords_2d"><code class="docutils literal notranslate"><span class="pre">Dimension.coords_2d()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.coords_3d"><code class="docutils literal notranslate"><span class="pre">Dimension.coords_3d()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.dims_3d"><code class="docutils literal notranslate"><span class="pre">Dimension.dims_3d()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.dims_4d"><code class="docutils literal notranslate"><span class="pre">Dimension.dims_4d()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.coords_4d_pres"><code class="docutils literal notranslate"><span class="pre">Dimension.coords_4d_pres()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.coords_4d"><code class="docutils literal notranslate"><span class="pre">Dimension.coords_4d()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.dims_4d_pres"><code class="docutils literal notranslate"><span class="pre">Dimension.dims_4d_pres()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.dims_3d_bc"><code class="docutils literal notranslate"><span class="pre">Dimension.dims_3d_bc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.dims_4d_bc"><code class="docutils literal notranslate"><span class="pre">Dimension.dims_4d_bc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.__add__"><code class="docutils literal notranslate"><span class="pre">Dimension.__add__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.__mul__"><code class="docutils literal notranslate"><span class="pre">Dimension.__mul__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.encode"><code class="docutils literal notranslate"><span class="pre">Dimension.encode()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.replace"><code class="docutils literal notranslate"><span class="pre">Dimension.replace()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.split"><code class="docutils literal notranslate"><span class="pre">Dimension.split()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.rsplit"><code class="docutils literal notranslate"><span class="pre">Dimension.rsplit()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.join"><code class="docutils literal notranslate"><span class="pre">Dimension.join()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.capitalize"><code class="docutils literal notranslate"><span class="pre">Dimension.capitalize()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.casefold"><code class="docutils literal notranslate"><span class="pre">Dimension.casefold()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.title"><code class="docutils literal notranslate"><span class="pre">Dimension.title()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.center"><code class="docutils literal notranslate"><span class="pre">Dimension.center()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.count"><code class="docutils literal notranslate"><span class="pre">Dimension.count()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.expandtabs"><code class="docutils literal notranslate"><span class="pre">Dimension.expandtabs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.find"><code class="docutils literal notranslate"><span class="pre">Dimension.find()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.partition"><code class="docutils literal notranslate"><span class="pre">Dimension.partition()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.index"><code class="docutils literal notranslate"><span class="pre">Dimension.index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.ljust"><code class="docutils literal notranslate"><span class="pre">Dimension.ljust()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.lower"><code class="docutils literal notranslate"><span class="pre">Dimension.lower()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.lstrip"><code class="docutils literal notranslate"><span class="pre">Dimension.lstrip()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.rfind"><code class="docutils literal notranslate"><span class="pre">Dimension.rfind()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.rindex"><code class="docutils literal notranslate"><span class="pre">Dimension.rindex()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.rjust"><code class="docutils literal notranslate"><span class="pre">Dimension.rjust()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.rstrip"><code class="docutils literal notranslate"><span class="pre">Dimension.rstrip()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.rpartition"><code class="docutils literal notranslate"><span class="pre">Dimension.rpartition()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.splitlines"><code class="docutils literal notranslate"><span class="pre">Dimension.splitlines()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.strip"><code class="docutils literal notranslate"><span class="pre">Dimension.strip()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.swapcase"><code class="docutils literal notranslate"><span class="pre">Dimension.swapcase()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.translate"><code class="docutils literal notranslate"><span class="pre">Dimension.translate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.upper"><code class="docutils literal notranslate"><span class="pre">Dimension.upper()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.startswith"><code class="docutils literal notranslate"><span class="pre">Dimension.startswith()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.endswith"><code class="docutils literal notranslate"><span class="pre">Dimension.endswith()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.removeprefix"><code class="docutils literal notranslate"><span class="pre">Dimension.removeprefix()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.removesuffix"><code class="docutils literal notranslate"><span class="pre">Dimension.removesuffix()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.isascii"><code class="docutils literal notranslate"><span class="pre">Dimension.isascii()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.islower"><code class="docutils literal notranslate"><span class="pre">Dimension.islower()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.isupper"><code class="docutils literal notranslate"><span class="pre">Dimension.isupper()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.istitle"><code class="docutils literal notranslate"><span class="pre">Dimension.istitle()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.isspace"><code class="docutils literal notranslate"><span class="pre">Dimension.isspace()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.isdecimal"><code class="docutils literal notranslate"><span class="pre">Dimension.isdecimal()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.isdigit"><code class="docutils literal notranslate"><span class="pre">Dimension.isdigit()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.isnumeric"><code class="docutils literal notranslate"><span class="pre">Dimension.isnumeric()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.isalpha"><code class="docutils literal notranslate"><span class="pre">Dimension.isalpha()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.isalnum"><code class="docutils literal notranslate"><span class="pre">Dimension.isalnum()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.isidentifier"><code class="docutils literal notranslate"><span class="pre">Dimension.isidentifier()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.isprintable"><code class="docutils literal notranslate"><span class="pre">Dimension.isprintable()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.zfill"><code class="docutils literal notranslate"><span class="pre">Dimension.zfill()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.format"><code class="docutils literal notranslate"><span class="pre">Dimension.format()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.format_map"><code class="docutils literal notranslate"><span class="pre">Dimension.format_map()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.names.Dimension.maketrans"><code class="docutils literal notranslate"><span class="pre">Dimension.maketrans()</span></code></a></li>
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+<span id="sup3r-preprocessing-names"></span><h1>sup3r.preprocessing.names<a class="headerlink" href="#module-sup3r.preprocessing.names" title="Link to this heading">#</a></h1>
+<p>Mappings from coord / dim / feature names to standard names and Dimension
+class for standardizing dimension orders and names.</p>
+<p class="rubric">Classes</p>
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+<td><p>Dimension names used for Sup3rX accessor.</p></td>
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+    <h1>sup3r.preprocessing.rasterizers.base.BaseRasterizer</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.data"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.time_slice"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.time_slice</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.target"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.target</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.grid_shape"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.grid_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.lat_lon"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.post_init_log"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.shape"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.wrap"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.wrap()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.rasterize_data"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.rasterize_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.check_target_and_shape"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.check_target_and_shape()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.get_raster_index"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.get_raster_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.get_closest_row_col"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.get_closest_row_col()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.get_lat_lon"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.get_lat_lon()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-rasterizers-base-baserasterizer">
+<h1>sup3r.preprocessing.rasterizers.base.BaseRasterizer<a class="headerlink" href="#sup3r-preprocessing-rasterizers-base-baserasterizer" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.base.BaseRasterizer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">BaseRasterizer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">loader</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_slice</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">slice(None,</span> <span class="pre">None,</span> <span class="pre">None)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/rasterizers/base.html#BaseRasterizer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a></p>
+<p>Container subclass with additional methods for extracting a
+spatiotemporal extent from contained data.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This <cite>Rasterizer</cite> base class is for 3D rasterized data. This usually
+comes from NETCDF files but can also be cached H5 files saved from
+previously rasterized data. For 3D, whether H5 or NETCDF, the full domain
+will be rasterized automatically if no target / shape are provided.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>loader</strong> (<em>Loader</em>) – Loader type container with <cite>.data</cite> attribute exposing data to
+extract.</p></li>
+<li><p><strong>features</strong> (<em>list | str</em>) – Features to return in loaded dataset. If ‘all’ then all available
+features will be returned.</p></li>
+<li><p><strong>target</strong> (<em>tuple</em>) – (lat, lon) lower left corner of raster. Either need target+shape or
+raster_file.</p></li>
+<li><p><strong>shape</strong> (<em>tuple</em>) – (rows, cols) grid size. Either need target+shape or raster_file.</p></li>
+<li><p><strong>time_slice</strong> (<em>slice | list</em>) – Slice specifying extent and step of temporal extraction. e.g.
+slice(start, stop, step). If equal to slice(None, None, 1) the full
+time dimension is selected. Can be also be a list <code class="docutils literal notranslate"><span class="pre">[start,</span> <span class="pre">stop,</span>
+<span class="pre">step]</span></code></p></li>
+<li><p><strong>threshold</strong> (<em>float</em>) – Nearest neighbor euclidean distance threshold. If the coordinates
+are more than this value away from the target lat/lon, an error is
+raised.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.check_target_and_shape" title="sup3r.preprocessing.rasterizers.base.BaseRasterizer.check_target_and_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_target_and_shape</span></code></a>(full_lat_lon)</p></td>
+<td><p>The data is assumed to use a regular grid so if either target or shape is not given we can easily find the values that give the maximum extent.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.get_closest_row_col" title="sup3r.preprocessing.rasterizers.base.BaseRasterizer.get_closest_row_col"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_closest_row_col</span></code></a>(lat_lon, target)</p></td>
+<td><p>Get closest indices to target lat lon</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.get_lat_lon" title="sup3r.preprocessing.rasterizers.base.BaseRasterizer.get_lat_lon"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_lat_lon</span></code></a>()</p></td>
+<td><p>Get the 2D array of coordinates corresponding to the requested target and shape.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.get_raster_index" title="sup3r.preprocessing.rasterizers.base.BaseRasterizer.get_raster_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_raster_index</span></code></a>()</p></td>
+<td><p>Get set of slices or indices selecting the requested region from the contained data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.post_init_log" title="sup3r.preprocessing.rasterizers.base.BaseRasterizer.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.rasterize_data" title="sup3r.preprocessing.rasterizers.base.BaseRasterizer.rasterize_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rasterize_data</span></code></a>()</p></td>
+<td><p>Get rasterized data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.wrap" title="sup3r.preprocessing.rasterizers.base.BaseRasterizer.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.data" title="sup3r.preprocessing.rasterizers.base.BaseRasterizer.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.grid_shape" title="sup3r.preprocessing.rasterizers.base.BaseRasterizer.grid_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">grid_shape</span></code></a></p></td>
+<td><p>Return the grid_shape based on the raster_index, since self._grid_shape does not need to be provided as an input if the raster_file is.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.lat_lon" title="sup3r.preprocessing.rasterizers.base.BaseRasterizer.lat_lon"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lat_lon</span></code></a></p></td>
+<td><p>Get 2D grid of coordinates with <cite>target</cite> as the lower left coordinate.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.shape" title="sup3r.preprocessing.rasterizers.base.BaseRasterizer.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.target" title="sup3r.preprocessing.rasterizers.base.BaseRasterizer.target"><code class="xref py py-obj docutils literal notranslate"><span class="pre">target</span></code></a></p></td>
+<td><p>Return the true value based on the closest lat lon instead of the user provided value self._target, which is used to find the closest lat lon.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.time_slice" title="sup3r.preprocessing.rasterizers.base.BaseRasterizer.time_slice"><code class="xref py py-obj docutils literal notranslate"><span class="pre">time_slice</span></code></a></p></td>
+<td><p>Return time slice for rasterized time period.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.base.BaseRasterizer.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.wrap" title="sup3r.preprocessing.rasterizers.base.BaseRasterizer.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.base.BaseRasterizer.time_slice">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">time_slice</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.time_slice" title="Link to this definition">#</a></dt>
+<dd><p>Return time slice for rasterized time period.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.base.BaseRasterizer.target">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">target</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.target" title="Link to this definition">#</a></dt>
+<dd><p>Return the true value based on the closest lat lon instead of the
+user provided value self._target, which is used to find the closest lat
+lon.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.base.BaseRasterizer.grid_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">grid_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.grid_shape" title="Link to this definition">#</a></dt>
+<dd><p>Return the grid_shape based on the raster_index, since
+self._grid_shape does not need to be provided as an input if the
+raster_file is.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.base.BaseRasterizer.lat_lon">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lat_lon</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.lat_lon" title="Link to this definition">#</a></dt>
+<dd><p>Get 2D grid of coordinates with <cite>target</cite> as the lower left
+coordinate. (lats, lons, 2)</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.base.BaseRasterizer.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.base.BaseRasterizer.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.base.BaseRasterizer.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.base.BaseRasterizer.rasterize_data">
+<span class="sig-name descname"><span class="pre">rasterize_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/rasterizers/base.html#BaseRasterizer.rasterize_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.rasterize_data" title="Link to this definition">#</a></dt>
+<dd><p>Get rasterized data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.base.BaseRasterizer.check_target_and_shape">
+<span class="sig-name descname"><span class="pre">check_target_and_shape</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">full_lat_lon</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/rasterizers/base.html#BaseRasterizer.check_target_and_shape"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.check_target_and_shape" title="Link to this definition">#</a></dt>
+<dd><p>The data is assumed to use a regular grid so if either target or
+shape is not given we can easily find the values that give the maximum
+extent.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.base.BaseRasterizer.get_raster_index">
+<span class="sig-name descname"><span class="pre">get_raster_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/rasterizers/base.html#BaseRasterizer.get_raster_index"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.get_raster_index" title="Link to this definition">#</a></dt>
+<dd><p>Get set of slices or indices selecting the requested region from
+the contained data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.base.BaseRasterizer.get_closest_row_col">
+<span class="sig-name descname"><span class="pre">get_closest_row_col</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lat_lon</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/rasterizers/base.html#BaseRasterizer.get_closest_row_col"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.get_closest_row_col" title="Link to this definition">#</a></dt>
+<dd><p>Get closest indices to target lat lon</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>lat_lon</strong> (<em>ndarray</em>) – Array of lat/lon
+(spatial_1, spatial_2, 2)
+Last dimension in order of (lat, lon)</p></li>
+<li><p><strong>target</strong> (<em>tuple</em>) – (lat, lon) for target coordinate</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>row</strong> (<em>int</em>) – row index for closest lat/lon to target lat/lon</p></li>
+<li><p><strong>col</strong> (<em>int</em>) – col index for closest lat/lon to target lat/lon</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.base.BaseRasterizer.get_lat_lon">
+<span class="sig-name descname"><span class="pre">get_lat_lon</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/rasterizers/base.html#BaseRasterizer.get_lat_lon"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.get_lat_lon" title="Link to this definition">#</a></dt>
+<dd><p>Get the 2D array of coordinates corresponding to the requested
+target and shape.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.data"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.time_slice"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.time_slice</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.target"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.target</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.grid_shape"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.grid_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.lat_lon"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.post_init_log"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.shape"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.wrap"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.wrap()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.rasterize_data"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.rasterize_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.check_target_and_shape"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.check_target_and_shape()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.get_raster_index"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.get_raster_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.get_closest_row_col"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.get_closest_row_col()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.base.BaseRasterizer.get_lat_lon"><code class="docutils literal notranslate"><span class="pre">BaseRasterizer.get_lat_lon()</span></code></a></li>
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+  <section id="module-sup3r.preprocessing.rasterizers.base">
+<span id="sup3r-preprocessing-rasterizers-base"></span><h1>sup3r.preprocessing.rasterizers.base<a class="headerlink" href="#module-sup3r.preprocessing.rasterizers.base" title="Link to this heading">#</a></h1>
+<p>Objects that can rasterize 3D spatiotemporal data. Examples include WRF,
+ERA5, and GCM data. Can also work with 3D H5 data, just not flattened H5 data
+like WTK and NSRDB.</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
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+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.rasterizers.base.BaseRasterizer.html#sup3r.preprocessing.rasterizers.base.BaseRasterizer" title="sup3r.preprocessing.rasterizers.base.BaseRasterizer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseRasterizer</span></code></a>(loader[, features, target, ...])</p></td>
+<td><p>Container subclass with additional methods for extracting a spatiotemporal extent from contained data.</p></td>
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+    <h1>sup3r.preprocessing.rasterizers.dual.DualRasterizer</h1>
+    <!-- Table of contents -->
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+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer"><code class="docutils literal notranslate"><span class="pre">DualRasterizer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.update_hr_data"><code class="docutils literal notranslate"><span class="pre">DualRasterizer.update_hr_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.get_regridder"><code class="docutils literal notranslate"><span class="pre">DualRasterizer.get_regridder()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.update_lr_data"><code class="docutils literal notranslate"><span class="pre">DualRasterizer.update_lr_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.check_regridded_lr_data"><code class="docutils literal notranslate"><span class="pre">DualRasterizer.check_regridded_lr_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.data"><code class="docutils literal notranslate"><span class="pre">DualRasterizer.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.post_init_log"><code class="docutils literal notranslate"><span class="pre">DualRasterizer.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.shape"><code class="docutils literal notranslate"><span class="pre">DualRasterizer.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.wrap"><code class="docutils literal notranslate"><span class="pre">DualRasterizer.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-rasterizers-dual-dualrasterizer">
+<h1>sup3r.preprocessing.rasterizers.dual.DualRasterizer<a class="headerlink" href="#sup3r-preprocessing-rasterizers-dual-dualrasterizer" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.dual.DualRasterizer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">DualRasterizer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><span class="pre">Sup3rDataset</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><span class="pre">Dataset</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Dataset</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regrid_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regrid_lr</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lr_cache_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hr_cache_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/rasterizers/dual.html#DualRasterizer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a></p>
+<p>Object containing xr.Dataset instances for low and high-res data.
+(Usually ERA5 and WTK, respectively). This essentially just regrids the
+low-res data to the coarsened high-res grid.  This is useful for caching
+prepping data which then can go directly to a
+<a class="reference internal" href="sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler" title="sup3r.preprocessing.samplers.dual.DualSampler"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code></a>
+<a class="reference internal" href="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualBatchQueue</span></code></a>.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>When first extracting the low_res data make sure to extract a region that
+completely overlaps the high_res region. It is easiest to load the full
+low_res domain and let <a class="reference internal" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer" title="sup3r.preprocessing.rasterizers.dual.DualRasterizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualRasterizer</span></code></a> select the appropriate
+region through regridding.</p>
+</div>
+<p>Initialize data container lr and hr <code class="xref py py-class docutils literal notranslate"><span class="pre">Data</span></code> instances.
+Typically lr = ERA5 data and hr = WTK data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Sup3rDataset | Tuple[xr.Dataset, xr.Dataset]</em>) – A tuple of xr.Dataset instances. The first must be low-res
+and the second must be high-res data</p></li>
+<li><p><strong>regrid_workers</strong> (<em>int | None</em>) – Number of workers to use for regridding routine.</p></li>
+<li><p><strong>regrid_lr</strong> (<em>bool</em>) – Flag to regrid the low-res data to the high-res grid. This will
+take care of any minor inconsistencies in different projections.
+Disable this if the grids are known to be the same.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Spatial enhancement factor</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Temporal enhancement factor</p></li>
+<li><p><strong>lr_cache_kwargs</strong> (<em>dict</em>) – Cache kwargs for the call to lr_data.cache_data(cache_kwargs).
+Must include ‘cache_pattern’ key if not None, and can also include
+dictionary of chunk tuples with feature keys</p></li>
+<li><p><strong>hr_cache_kwargs</strong> (<em>dict</em>) – Cache kwargs for the call to hr_data.cache_data(cache_kwargs).
+Must include ‘cache_pattern’ key if not None, and can also include
+dictionary of chunk tuples with feature keys</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.check_regridded_lr_data" title="sup3r.preprocessing.rasterizers.dual.DualRasterizer.check_regridded_lr_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_regridded_lr_data</span></code></a>()</p></td>
+<td><p>Check for NaNs after regridding and do NN fill if needed.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.get_regridder" title="sup3r.preprocessing.rasterizers.dual.DualRasterizer.get_regridder"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_regridder</span></code></a>()</p></td>
+<td><p>Get regridder object</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.post_init_log" title="sup3r.preprocessing.rasterizers.dual.DualRasterizer.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.update_hr_data" title="sup3r.preprocessing.rasterizers.dual.DualRasterizer.update_hr_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_hr_data</span></code></a>()</p></td>
+<td><p>Set the high resolution data attribute and check if hr_data.shape is divisible by s_enhance.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.update_lr_data" title="sup3r.preprocessing.rasterizers.dual.DualRasterizer.update_lr_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_lr_data</span></code></a>()</p></td>
+<td><p>Regrid low_res data for all requested noncached features.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.wrap" title="sup3r.preprocessing.rasterizers.dual.DualRasterizer.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.data" title="sup3r.preprocessing.rasterizers.dual.DualRasterizer.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.shape" title="sup3r.preprocessing.rasterizers.dual.DualRasterizer.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.dual.DualRasterizer.update_hr_data">
+<span class="sig-name descname"><span class="pre">update_hr_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/rasterizers/dual.html#DualRasterizer.update_hr_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.update_hr_data" title="Link to this definition">#</a></dt>
+<dd><p>Set the high resolution data attribute and check if
+hr_data.shape is divisible by s_enhance. If not, take the largest
+shape that can be.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.dual.DualRasterizer.get_regridder">
+<span class="sig-name descname"><span class="pre">get_regridder</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/rasterizers/dual.html#DualRasterizer.get_regridder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.get_regridder" title="Link to this definition">#</a></dt>
+<dd><p>Get regridder object</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.dual.DualRasterizer.update_lr_data">
+<span class="sig-name descname"><span class="pre">update_lr_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/rasterizers/dual.html#DualRasterizer.update_lr_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.update_lr_data" title="Link to this definition">#</a></dt>
+<dd><p>Regrid low_res data for all requested noncached features. Load
+cached features if available and overwrite=False</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.dual.DualRasterizer.check_regridded_lr_data">
+<span class="sig-name descname"><span class="pre">check_regridded_lr_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/rasterizers/dual.html#DualRasterizer.check_regridded_lr_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.check_regridded_lr_data" title="Link to this definition">#</a></dt>
+<dd><p>Check for NaNs after regridding and do NN fill if needed.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.dual.DualRasterizer.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.wrap" title="sup3r.preprocessing.rasterizers.dual.DualRasterizer.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.dual.DualRasterizer.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.dual.DualRasterizer.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.dual.DualRasterizer.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer"><code class="docutils literal notranslate"><span class="pre">DualRasterizer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.update_hr_data"><code class="docutils literal notranslate"><span class="pre">DualRasterizer.update_hr_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.get_regridder"><code class="docutils literal notranslate"><span class="pre">DualRasterizer.get_regridder()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.update_lr_data"><code class="docutils literal notranslate"><span class="pre">DualRasterizer.update_lr_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.check_regridded_lr_data"><code class="docutils literal notranslate"><span class="pre">DualRasterizer.check_regridded_lr_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.data"><code class="docutils literal notranslate"><span class="pre">DualRasterizer.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.post_init_log"><code class="docutils literal notranslate"><span class="pre">DualRasterizer.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.shape"><code class="docutils literal notranslate"><span class="pre">DualRasterizer.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.dual.DualRasterizer.wrap"><code class="docutils literal notranslate"><span class="pre">DualRasterizer.wrap()</span></code></a></li>
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+  <section id="module-sup3r.preprocessing.rasterizers.dual">
+<span id="sup3r-preprocessing-rasterizers-dual"></span><h1>sup3r.preprocessing.rasterizers.dual<a class="headerlink" href="#module-sup3r.preprocessing.rasterizers.dual" title="Link to this heading">#</a></h1>
+<p>Paired rasterizer class for matching separate low_res and high_res
+datasets</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.rasterizers.dual.DualRasterizer.html#sup3r.preprocessing.rasterizers.dual.DualRasterizer" title="sup3r.preprocessing.rasterizers.dual.DualRasterizer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DualRasterizer</span></code></a>(data[, regrid_workers, ...])</p></td>
+<td><p>Object containing xr.Dataset instances for low and high-res data.</p></td>
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+    <h1>sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer</h1>
+    <!-- Table of contents -->
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+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.source_data"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.source_data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.source_handler"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.source_handler</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.cache_file"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.cache_file</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.coords"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.coords</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.source_lat_lon"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.source_lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.lr_shape"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.hr_shape"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.hr_lat_lon"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.hr_lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.hr_time_index"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.hr_time_index</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.get_distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.get_distance_upper_bound()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.tree"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.tree</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.nn"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.nn</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.data"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.get_data"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.get_data()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-rasterizers-exo-baseexorasterizer">
+<h1>sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer<a class="headerlink" href="#sup3r-preprocessing-rasterizers-exo-baseexorasterizer" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">BaseExoRasterizer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_handler_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_handler_kwargs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache_dir</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'./exo_cache/'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_upper_bound</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/rasterizers/exo.html#BaseExoRasterizer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/abc.html#abc.ABC" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">ABC</span></code></a></p>
+<p>Class to extract high-res (4km+) data rasters for new
+spatially-enhanced datasets (e.g. GCM files after spatial enhancement)
+using nearest neighbor mapping and aggregation from NREL datasets (e.g. WTK
+or NSRDB)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_paths</strong> (<em>str | list</em>) – A single source h5 file to extract raster data from or a list
+of netcdf files with identical grid. The string can be a unix-style
+file path which will be passed through glob.glob. This is
+typically low-res WRF output or GCM netcdf data files that is
+source low-resolution data intended to be sup3r resolved.</p></li>
+<li><p><strong>source_file</strong> (<em>str</em>) – Filepath to source data file to get hi-res exogenous data from which
+will be mapped to the enhanced grid of the file_paths input. Pixels
+from this source_file will be mapped to their nearest low-res pixel in
+the file_paths input. Accordingly, source_file should be a
+significantly higher resolution than file_paths. Warnings will be
+raised if the low-resolution pixels in file_paths do not have unique
+nearest pixels from source_file. File format can be .h5 for
+ExoRasterizerH5 or .nc for ExoRasterizerNC</p></li>
+<li><p><strong>feature</strong> (<em>str</em>) – Name of exogenous feature to rasterize.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Factor by which the Sup3rGan model will enhance the spatial
+dimensions of low resolution data from file_paths input. For
+example, if getting topography data, file_paths has 100km data, and
+s_enhance is 4, this class will output a topography raster
+corresponding to the file_paths grid enhanced 4x to ~25km</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Factor by which the Sup3rGan model will enhance the temporal
+dimension of low resolution data from file_paths input. For
+example, if getting “sza” data, file_paths has hourly data, and
+t_enhance is 4, this class will output an “sza” raster
+corresponding to <code class="docutils literal notranslate"><span class="pre">file_paths</span></code>, temporally enhanced 4x to 15 min</p></li>
+<li><p><strong>input_handler_name</strong> (<em>str</em>) – data handler class to use for input data. Provide a string name to
+match a <code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code>. If None
+the correct handler will be guessed based on file type and time series
+properties.</p></li>
+<li><p><strong>input_handler_kwargs</strong> (<em>dict | None</em>) – Any kwargs for initializing the <code class="docutils literal notranslate"><span class="pre">input_handler_name</span></code> class.</p></li>
+<li><p><strong>cache_dir</strong> (<em>str | ‘./exo_cache’</em>) – Directory to use for caching rasterized data.</p></li>
+<li><p><strong>chunks</strong> (<em>str | dict</em>) – Dictionary of dimension chunk sizes for returned exo data. e.g.
+{‘time’: 100, ‘south_north’: 100, ‘west_east’: 100}. This can also just
+be “auto”. This is passed to <code class="docutils literal notranslate"><span class="pre">.chunk()</span></code> before returning exo data
+through <code class="docutils literal notranslate"><span class="pre">.data</span></code> attribute</p></li>
+<li><p><strong>distance_upper_bound</strong> (<em>float | None</em>) – Maximum distance to map high-resolution data from source_file to the
+low-resolution file_paths input. None (default) will calculate this
+based on the median distance between points in source_file</p></li>
+<li><p><strong>max_workers</strong> (<em>int</em>) – Number of workers used for writing data to cache files. Gets passed to
+<code class="docutils literal notranslate"><span class="pre">Cacher.write_netcdf.</span></code></p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Whether to log output as each chunk is written to cache file.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.get_data" title="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.get_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_data</span></code></a>()</p></td>
+<td><p>Get a raster of source values corresponding to the high-resolution grid (the file_paths input grid * s_enhance * t_enhance).</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.get_distance_upper_bound" title="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.get_distance_upper_bound"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_distance_upper_bound</span></code></a>()</p></td>
+<td><p>Maximum distance (float) to map high-resolution data from source_file to the low-resolution file_paths input.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">cache_dir</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.cache_file" title="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.cache_file"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cache_file</span></code></a></p></td>
+<td><p>Get cache file name</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">chunks</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.coords" title="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.coords"><code class="xref py py-obj docutils literal notranslate"><span class="pre">coords</span></code></a></p></td>
+<td><p>Get coords dictionary for initializing xr.Dataset.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.data" title="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Get a raster of source values corresponding to the high-resolution grid (the file_paths input grid * s_enhance * t_enhance).</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">distance_upper_bound</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">feature</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">file_paths</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.hr_lat_lon" title="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.hr_lat_lon"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_lat_lon</span></code></a></p></td>
+<td><p>Lat lon grid for data in format (spatial_1, spatial_2, 2) Lat/Lon array with same ordering in last dimension.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.hr_shape" title="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Get the high-resolution spatiotemporal shape</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.hr_time_index" title="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.hr_time_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_time_index</span></code></a></p></td>
+<td><p>Get the full time index for aggregated source data</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_handler_kwargs</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_handler_name</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.lr_shape" title="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Get the low-resolution spatiotemporal shape</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">max_workers</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.nn" title="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.nn"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nn</span></code></a></p></td>
+<td><p>Get the nearest neighbor indices.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhance</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.source_data" title="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.source_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">source_data</span></code></a></p></td>
+<td><p>Get the 1D array of source data from the source_file_h5</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">source_file</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.source_handler" title="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.source_handler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">source_handler</span></code></a></p></td>
+<td><p>Get the Loader object that handles the exogenous data file.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.source_lat_lon" title="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.source_lat_lon"><code class="xref py py-obj docutils literal notranslate"><span class="pre">source_lat_lon</span></code></a></p></td>
+<td><p>Get the 2D array (n, 2) of lat, lon data from the source_file_h5</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhance</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.tree" title="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.tree"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tree</span></code></a></p></td>
+<td><p>Get the KDTree built on the target lat lon data from the file_paths input with s_enhance</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">verbose</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.source_data">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">source_data</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.source_data" title="Link to this definition">#</a></dt>
+<dd><p>Get the 1D array of source data from the source_file_h5</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.source_handler">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">source_handler</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.source_handler" title="Link to this definition">#</a></dt>
+<dd><p>Get the Loader object that handles the exogenous data file.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.cache_file">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">cache_file</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.cache_file" title="Link to this definition">#</a></dt>
+<dd><p>Get cache file name</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>cache_fp</strong> (<em>str</em>) – Name of cache file. This is a netcdf file which will be saved with
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Cacher</span></code> and loaded with
+<a class="reference internal" href="sup3r.preprocessing.loaders.Loader.html#sup3r.preprocessing.loaders.Loader" title="sup3r.preprocessing.loaders.Loader"><code class="xref py py-class docutils literal notranslate"><span class="pre">Loader</span></code></a></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.coords">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">coords</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.coords" title="Link to this definition">#</a></dt>
+<dd><p>Get coords dictionary for initializing xr.Dataset.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.source_lat_lon">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">source_lat_lon</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.source_lat_lon" title="Link to this definition">#</a></dt>
+<dd><p>Get the 2D array (n, 2) of lat, lon data from the source_file_h5</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Get the low-resolution spatiotemporal shape</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Get the high-resolution spatiotemporal shape</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.hr_lat_lon">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_lat_lon</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.hr_lat_lon" title="Link to this definition">#</a></dt>
+<dd><p>Lat lon grid for data in format (spatial_1, spatial_2, 2) Lat/Lon
+array with same ordering in last dimension. This corresponds to the
+enhanced meta data from the file_paths input * s_enhance.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>ndarray</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.hr_time_index">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_time_index</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.hr_time_index" title="Link to this definition">#</a></dt>
+<dd><p>Get the full time index for aggregated source data</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.get_distance_upper_bound">
+<span class="sig-name descname"><span class="pre">get_distance_upper_bound</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/rasterizers/exo.html#BaseExoRasterizer.get_distance_upper_bound"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.get_distance_upper_bound" title="Link to this definition">#</a></dt>
+<dd><p>Maximum distance (float) to map high-resolution data from
+source_file to the low-resolution file_paths input.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.tree">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">tree</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.tree" title="Link to this definition">#</a></dt>
+<dd><p>Get the KDTree built on the target lat lon data from the file_paths
+input with s_enhance</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.nn">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">nn</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.nn" title="Link to this definition">#</a></dt>
+<dd><p>Get the nearest neighbor indices. This uses a single neighbor by
+default</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.data" title="Link to this definition">#</a></dt>
+<dd><p>Get a raster of source values corresponding to the
+high-resolution grid (the file_paths input grid * s_enhance *
+t_enhance). The shape is (lats, lons, temporal, 1)</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.get_data">
+<span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/rasterizers/exo.html#BaseExoRasterizer.get_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.get_data" title="Link to this definition">#</a></dt>
+<dd><p>Get a raster of source values corresponding to the
+high-resolution grid (the file_paths input grid * s_enhance *
+t_enhance). The shape is (lats, lons, 1)</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.source_data"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.source_data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.source_handler"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.source_handler</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.cache_file"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.cache_file</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.coords"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.coords</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.source_lat_lon"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.source_lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.lr_shape"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.hr_shape"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.hr_lat_lon"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.hr_lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.hr_time_index"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.hr_time_index</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.get_distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.get_distance_upper_bound()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.tree"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.tree</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.nn"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.nn</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.data"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.get_data"><code class="docutils literal notranslate"><span class="pre">BaseExoRasterizer.get_data()</span></code></a></li>
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+    <span class="fa-solid fa-list"></span>
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+      
+    </div>
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+</div>
+</div>
+              
+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>sup3r.preprocessing.rasterizers.exo.ExoRasterizer</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.cache_file"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.cache_file</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.coords"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.coords</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.data"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.get_data"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.get_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.get_distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.get_distance_upper_bound()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.hr_lat_lon"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.hr_lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.hr_shape"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.hr_time_index"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.hr_time_index</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.lr_shape"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.nn"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.nn</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.source_data"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.source_data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.source_handler"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.source_handler</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.source_lat_lon"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.source_lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.tree"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.tree</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-rasterizers-exo-exorasterizer">
+<h1>sup3r.preprocessing.rasterizers.exo.ExoRasterizer<a class="headerlink" href="#sup3r-preprocessing-rasterizers-exo-exorasterizer" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ExoRasterizer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">file_paths</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_handler_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'./exo_cache/'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_upper_bound</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/rasterizers/exo.html#ExoRasterizer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer" title="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseExoRasterizer</span></code></a></p>
+<p>Class to extract high-res (4km+) data rasters for new
+spatially-enhanced datasets (e.g. GCM files after spatial enhancement)
+using nearest neighbor mapping and aggregation from NREL datasets (e.g. WTK
+or NSRDB)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_paths</strong> (<em>str | list</em>) – A single source h5 file to extract raster data from or a list
+of netcdf files with identical grid. The string can be a unix-style
+file path which will be passed through glob.glob. This is
+typically low-res WRF output or GCM netcdf data files that is
+source low-resolution data intended to be sup3r resolved.</p></li>
+<li><p><strong>source_file</strong> (<em>str</em>) – Filepath to source data file to get hi-res exogenous data from which
+will be mapped to the enhanced grid of the file_paths input. Pixels
+from this source_file will be mapped to their nearest low-res pixel in
+the file_paths input. Accordingly, source_file should be a
+significantly higher resolution than file_paths. Warnings will be
+raised if the low-resolution pixels in file_paths do not have unique
+nearest pixels from source_file. File format can be .h5 for
+ExoRasterizerH5 or .nc for ExoRasterizerNC</p></li>
+<li><p><strong>feature</strong> (<em>str</em>) – Name of exogenous feature to rasterize.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Factor by which the Sup3rGan model will enhance the spatial
+dimensions of low resolution data from file_paths input. For
+example, if getting topography data, file_paths has 100km data, and
+s_enhance is 4, this class will output a topography raster
+corresponding to the file_paths grid enhanced 4x to ~25km</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Factor by which the Sup3rGan model will enhance the temporal
+dimension of low resolution data from file_paths input. For
+example, if getting “sza” data, file_paths has hourly data, and
+t_enhance is 4, this class will output an “sza” raster
+corresponding to <code class="docutils literal notranslate"><span class="pre">file_paths</span></code>, temporally enhanced 4x to 15 min</p></li>
+<li><p><strong>input_handler_name</strong> (<em>str</em>) – data handler class to use for input data. Provide a string name to
+match a <code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code>. If None
+the correct handler will be guessed based on file type and time series
+properties.</p></li>
+<li><p><strong>input_handler_kwargs</strong> (<em>dict | None</em>) – Any kwargs for initializing the <code class="docutils literal notranslate"><span class="pre">input_handler_name</span></code> class.</p></li>
+<li><p><strong>cache_dir</strong> (<em>str | ‘./exo_cache’</em>) – Directory to use for caching rasterized data.</p></li>
+<li><p><strong>chunks</strong> (<em>str | dict</em>) – Dictionary of dimension chunk sizes for returned exo data. e.g.
+{‘time’: 100, ‘south_north’: 100, ‘west_east’: 100}. This can also just
+be “auto”. This is passed to <code class="docutils literal notranslate"><span class="pre">.chunk()</span></code> before returning exo data
+through <code class="docutils literal notranslate"><span class="pre">.data</span></code> attribute</p></li>
+<li><p><strong>distance_upper_bound</strong> (<em>float | None</em>) – Maximum distance to map high-resolution data from source_file to the
+low-resolution file_paths input. None (default) will calculate this
+based on the median distance between points in source_file</p></li>
+<li><p><strong>max_workers</strong> (<em>int</em>) – Number of workers used for writing data to cache files. Gets passed to
+<code class="docutils literal notranslate"><span class="pre">Cacher.write_netcdf.</span></code></p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Whether to log output as each chunk is written to cache file.</p></li>
+</ul>
+</dd>
+</dl>
+<p>Override parent class to return type specific class based on
+<cite>source_file</cite></p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.get_data" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.get_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_data</span></code></a>()</p></td>
+<td><p>Get a raster of source values corresponding to the high-resolution grid (the file_paths input grid * s_enhance * t_enhance).</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.get_distance_upper_bound" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.get_distance_upper_bound"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_distance_upper_bound</span></code></a>()</p></td>
+<td><p>Maximum distance (float) to map high-resolution data from source_file to the low-resolution file_paths input.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">TypeSpecificClasses</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">cache_dir</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.cache_file" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.cache_file"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cache_file</span></code></a></p></td>
+<td><p>Get cache file name</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">chunks</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.coords" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.coords"><code class="xref py py-obj docutils literal notranslate"><span class="pre">coords</span></code></a></p></td>
+<td><p>Get coords dictionary for initializing xr.Dataset.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.data" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Get a raster of source values corresponding to the high-resolution grid (the file_paths input grid * s_enhance * t_enhance).</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">distance_upper_bound</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">feature</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">file_paths</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.hr_lat_lon" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.hr_lat_lon"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_lat_lon</span></code></a></p></td>
+<td><p>Lat lon grid for data in format (spatial_1, spatial_2, 2) Lat/Lon array with same ordering in last dimension.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.hr_shape" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Get the high-resolution spatiotemporal shape</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.hr_time_index" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.hr_time_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_time_index</span></code></a></p></td>
+<td><p>Get the full time index for aggregated source data</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_handler_kwargs</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_handler_name</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.lr_shape" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Get the low-resolution spatiotemporal shape</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">max_workers</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.nn" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.nn"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nn</span></code></a></p></td>
+<td><p>Get the nearest neighbor indices.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhance</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.source_data" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.source_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">source_data</span></code></a></p></td>
+<td><p>Get the 1D array of source data from the source_file_h5</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">source_file</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.source_handler" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.source_handler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">source_handler</span></code></a></p></td>
+<td><p>Get the Loader object that handles the exogenous data file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.source_lat_lon" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.source_lat_lon"><code class="xref py py-obj docutils literal notranslate"><span class="pre">source_lat_lon</span></code></a></p></td>
+<td><p>Get the 2D array (n, 2) of lat, lon data from the source_file_h5</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhance</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.tree" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.tree"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tree</span></code></a></p></td>
+<td><p>Get the KDTree built on the target lat lon data from the file_paths input with s_enhance</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">verbose</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.cache_file">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">cache_file</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.cache_file" title="Link to this definition">#</a></dt>
+<dd><p>Get cache file name</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>cache_fp</strong> (<em>str</em>) – Name of cache file. This is a netcdf file which will be saved with
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Cacher</span></code> and loaded with
+<a class="reference internal" href="sup3r.preprocessing.loaders.Loader.html#sup3r.preprocessing.loaders.Loader" title="sup3r.preprocessing.loaders.Loader"><code class="xref py py-class docutils literal notranslate"><span class="pre">Loader</span></code></a></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.coords">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">coords</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.coords" title="Link to this definition">#</a></dt>
+<dd><p>Get coords dictionary for initializing xr.Dataset.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.data" title="Link to this definition">#</a></dt>
+<dd><p>Get a raster of source values corresponding to the
+high-resolution grid (the file_paths input grid * s_enhance *
+t_enhance). The shape is (lats, lons, temporal, 1)</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.get_data">
+<span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.get_data" title="Link to this definition">#</a></dt>
+<dd><p>Get a raster of source values corresponding to the
+high-resolution grid (the file_paths input grid * s_enhance *
+t_enhance). The shape is (lats, lons, 1)</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.get_distance_upper_bound">
+<span class="sig-name descname"><span class="pre">get_distance_upper_bound</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.get_distance_upper_bound" title="Link to this definition">#</a></dt>
+<dd><p>Maximum distance (float) to map high-resolution data from
+source_file to the low-resolution file_paths input.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.hr_lat_lon">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_lat_lon</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.hr_lat_lon" title="Link to this definition">#</a></dt>
+<dd><p>Lat lon grid for data in format (spatial_1, spatial_2, 2) Lat/Lon
+array with same ordering in last dimension. This corresponds to the
+enhanced meta data from the file_paths input * s_enhance.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>ndarray</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Get the high-resolution spatiotemporal shape</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.hr_time_index">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_time_index</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.hr_time_index" title="Link to this definition">#</a></dt>
+<dd><p>Get the full time index for aggregated source data</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Get the low-resolution spatiotemporal shape</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.nn">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">nn</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.nn" title="Link to this definition">#</a></dt>
+<dd><p>Get the nearest neighbor indices. This uses a single neighbor by
+default</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.source_data">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">source_data</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.source_data" title="Link to this definition">#</a></dt>
+<dd><p>Get the 1D array of source data from the source_file_h5</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.source_handler">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">source_handler</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.source_handler" title="Link to this definition">#</a></dt>
+<dd><p>Get the Loader object that handles the exogenous data file.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.source_lat_lon">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">source_lat_lon</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.source_lat_lon" title="Link to this definition">#</a></dt>
+<dd><p>Get the 2D array (n, 2) of lat, lon data from the source_file_h5</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.tree">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">tree</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.tree" title="Link to this definition">#</a></dt>
+<dd><p>Get the KDTree built on the target lat lon data from the file_paths
+input with s_enhance</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.cache_file"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.cache_file</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.coords"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.coords</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.data"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.get_data"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.get_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.get_distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.get_distance_upper_bound()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.hr_lat_lon"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.hr_lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.hr_shape"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.hr_time_index"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.hr_time_index</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.lr_shape"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.nn"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.nn</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.source_data"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.source_data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.source_handler"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.source_handler</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.source_lat_lon"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.source_lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.tree"><code class="docutils literal notranslate"><span class="pre">ExoRasterizer.tree</span></code></a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.source_data"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.source_data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.cache_file"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.cache_file</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.coords"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.coords</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.data"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.get_data"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.get_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.get_distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.get_distance_upper_bound()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.hr_lat_lon"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.hr_lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.hr_shape"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.hr_time_index"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.hr_time_index</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.lr_shape"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.nn"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.nn</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.source_handler"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.source_handler</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.source_lat_lon"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.source_lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.tree"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.tree</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-rasterizers-exo-exorasterizerh5">
+<h1>sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5<a class="headerlink" href="#sup3r-preprocessing-rasterizers-exo-exorasterizerh5" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ExoRasterizerH5</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_handler_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_handler_kwargs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache_dir</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'./exo_cache/'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_upper_bound</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/rasterizers/exo.html#ExoRasterizerH5"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer" title="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseExoRasterizer</span></code></a></p>
+<p>ExoRasterizer for H5 files</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.get_data" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.get_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_data</span></code></a>()</p></td>
+<td><p>Get a raster of source values corresponding to the high-resolution grid (the file_paths input grid * s_enhance * t_enhance).</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.get_distance_upper_bound" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.get_distance_upper_bound"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_distance_upper_bound</span></code></a>()</p></td>
+<td><p>Maximum distance (float) to map high-resolution data from source_file to the low-resolution file_paths input.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">cache_dir</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.cache_file" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.cache_file"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cache_file</span></code></a></p></td>
+<td><p>Get cache file name</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">chunks</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.coords" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.coords"><code class="xref py py-obj docutils literal notranslate"><span class="pre">coords</span></code></a></p></td>
+<td><p>Get coords dictionary for initializing xr.Dataset.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.data" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Get a raster of source values corresponding to the high-resolution grid (the file_paths input grid * s_enhance * t_enhance).</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">distance_upper_bound</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">feature</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">file_paths</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.hr_lat_lon" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.hr_lat_lon"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_lat_lon</span></code></a></p></td>
+<td><p>Lat lon grid for data in format (spatial_1, spatial_2, 2) Lat/Lon array with same ordering in last dimension.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.hr_shape" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Get the high-resolution spatiotemporal shape</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.hr_time_index" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.hr_time_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_time_index</span></code></a></p></td>
+<td><p>Get the full time index for aggregated source data</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_handler_kwargs</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_handler_name</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.lr_shape" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Get the low-resolution spatiotemporal shape</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">max_workers</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.nn" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.nn"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nn</span></code></a></p></td>
+<td><p>Get the nearest neighbor indices.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhance</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.source_data" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.source_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">source_data</span></code></a></p></td>
+<td><p>Get the 1D array of exogenous data from the source_file_h5</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">source_file</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.source_handler" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.source_handler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">source_handler</span></code></a></p></td>
+<td><p>Get the Loader object that handles the exogenous data file.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.source_lat_lon" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.source_lat_lon"><code class="xref py py-obj docutils literal notranslate"><span class="pre">source_lat_lon</span></code></a></p></td>
+<td><p>Get the 2D array (n, 2) of lat, lon data from the source_file_h5</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhance</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.tree" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.tree"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tree</span></code></a></p></td>
+<td><p>Get the KDTree built on the target lat lon data from the file_paths input with s_enhance</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">verbose</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.source_data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">source_data</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.source_data" title="Link to this definition">#</a></dt>
+<dd><p>Get the 1D array of exogenous data from the source_file_h5</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.cache_file">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">cache_file</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.cache_file" title="Link to this definition">#</a></dt>
+<dd><p>Get cache file name</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>cache_fp</strong> (<em>str</em>) – Name of cache file. This is a netcdf file which will be saved with
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Cacher</span></code> and loaded with
+<a class="reference internal" href="sup3r.preprocessing.loaders.Loader.html#sup3r.preprocessing.loaders.Loader" title="sup3r.preprocessing.loaders.Loader"><code class="xref py py-class docutils literal notranslate"><span class="pre">Loader</span></code></a></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.coords">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">coords</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.coords" title="Link to this definition">#</a></dt>
+<dd><p>Get coords dictionary for initializing xr.Dataset.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.data" title="Link to this definition">#</a></dt>
+<dd><p>Get a raster of source values corresponding to the
+high-resolution grid (the file_paths input grid * s_enhance *
+t_enhance). The shape is (lats, lons, temporal, 1)</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.get_data">
+<span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.get_data" title="Link to this definition">#</a></dt>
+<dd><p>Get a raster of source values corresponding to the
+high-resolution grid (the file_paths input grid * s_enhance *
+t_enhance). The shape is (lats, lons, 1)</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.get_distance_upper_bound">
+<span class="sig-name descname"><span class="pre">get_distance_upper_bound</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.get_distance_upper_bound" title="Link to this definition">#</a></dt>
+<dd><p>Maximum distance (float) to map high-resolution data from
+source_file to the low-resolution file_paths input.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.hr_lat_lon">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_lat_lon</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.hr_lat_lon" title="Link to this definition">#</a></dt>
+<dd><p>Lat lon grid for data in format (spatial_1, spatial_2, 2) Lat/Lon
+array with same ordering in last dimension. This corresponds to the
+enhanced meta data from the file_paths input * s_enhance.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>ndarray</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Get the high-resolution spatiotemporal shape</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.hr_time_index">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_time_index</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.hr_time_index" title="Link to this definition">#</a></dt>
+<dd><p>Get the full time index for aggregated source data</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Get the low-resolution spatiotemporal shape</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.nn">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">nn</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.nn" title="Link to this definition">#</a></dt>
+<dd><p>Get the nearest neighbor indices. This uses a single neighbor by
+default</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.source_handler">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">source_handler</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.source_handler" title="Link to this definition">#</a></dt>
+<dd><p>Get the Loader object that handles the exogenous data file.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.source_lat_lon">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">source_lat_lon</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.source_lat_lon" title="Link to this definition">#</a></dt>
+<dd><p>Get the 2D array (n, 2) of lat, lon data from the source_file_h5</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.tree">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">tree</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.tree" title="Link to this definition">#</a></dt>
+<dd><p>Get the KDTree built on the target lat lon data from the file_paths
+input with s_enhance</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.source_data"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.source_data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.cache_file"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.cache_file</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.coords"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.coords</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.data"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.get_data"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.get_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.get_distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.get_distance_upper_bound()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.hr_lat_lon"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.hr_lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.hr_shape"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.hr_time_index"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.hr_time_index</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.lr_shape"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.nn"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.nn</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.source_handler"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.source_handler</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.source_lat_lon"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.source_lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.tree"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerH5.tree</span></code></a></li>
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+    <h1>sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.source_data"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.source_data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.source_lat_lon"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.source_lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.cache_file"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.cache_file</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.coords"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.coords</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.data"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.get_data"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.get_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.get_distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.get_distance_upper_bound()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.hr_lat_lon"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.hr_lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.hr_shape"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.hr_time_index"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.hr_time_index</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.lr_shape"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.nn"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.nn</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.source_handler"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.source_handler</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.tree"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.tree</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-rasterizers-exo-exorasterizernc">
+<h1>sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC<a class="headerlink" href="#sup3r-preprocessing-rasterizers-exo-exorasterizernc" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ExoRasterizerNC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_handler_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_handler_kwargs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache_dir</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'./exo_cache/'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_upper_bound</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/rasterizers/exo.html#ExoRasterizerNC"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer" title="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseExoRasterizer</span></code></a></p>
+<p>ExoRasterizer for netCDF files</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.get_data" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.get_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_data</span></code></a>()</p></td>
+<td><p>Get a raster of source values corresponding to the high-resolution grid (the file_paths input grid * s_enhance * t_enhance).</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.get_distance_upper_bound" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.get_distance_upper_bound"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_distance_upper_bound</span></code></a>()</p></td>
+<td><p>Maximum distance (float) to map high-resolution data from source_file to the low-resolution file_paths input.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">cache_dir</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.cache_file" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.cache_file"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cache_file</span></code></a></p></td>
+<td><p>Get cache file name</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">chunks</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.coords" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.coords"><code class="xref py py-obj docutils literal notranslate"><span class="pre">coords</span></code></a></p></td>
+<td><p>Get coords dictionary for initializing xr.Dataset.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.data" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Get a raster of source values corresponding to the high-resolution grid (the file_paths input grid * s_enhance * t_enhance).</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">distance_upper_bound</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">feature</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">file_paths</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.hr_lat_lon" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.hr_lat_lon"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_lat_lon</span></code></a></p></td>
+<td><p>Lat lon grid for data in format (spatial_1, spatial_2, 2) Lat/Lon array with same ordering in last dimension.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.hr_shape" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Get the high-resolution spatiotemporal shape</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.hr_time_index" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.hr_time_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_time_index</span></code></a></p></td>
+<td><p>Get the full time index for aggregated source data</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_handler_kwargs</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_handler_name</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.lr_shape" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Get the low-resolution spatiotemporal shape</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">max_workers</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.nn" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.nn"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nn</span></code></a></p></td>
+<td><p>Get the nearest neighbor indices.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhance</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.source_data" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.source_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">source_data</span></code></a></p></td>
+<td><p>Get the 1D array of exogenous data from the source_file_nc</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">source_file</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.source_handler" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.source_handler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">source_handler</span></code></a></p></td>
+<td><p>Get the Loader object that handles the exogenous data file.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.source_lat_lon" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.source_lat_lon"><code class="xref py py-obj docutils literal notranslate"><span class="pre">source_lat_lon</span></code></a></p></td>
+<td><p>Get the 2D array (n, 2) of lat, lon data from the source_file</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhance</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.tree" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.tree"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tree</span></code></a></p></td>
+<td><p>Get the KDTree built on the target lat lon data from the file_paths input with s_enhance</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">verbose</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.source_data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">source_data</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.source_data" title="Link to this definition">#</a></dt>
+<dd><p>Get the 1D array of exogenous data from the source_file_nc</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.source_lat_lon">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">source_lat_lon</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.source_lat_lon" title="Link to this definition">#</a></dt>
+<dd><p>Get the 2D array (n, 2) of lat, lon data from the source_file</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.cache_file">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">cache_file</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.cache_file" title="Link to this definition">#</a></dt>
+<dd><p>Get cache file name</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>cache_fp</strong> (<em>str</em>) – Name of cache file. This is a netcdf file which will be saved with
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Cacher</span></code> and loaded with
+<a class="reference internal" href="sup3r.preprocessing.loaders.Loader.html#sup3r.preprocessing.loaders.Loader" title="sup3r.preprocessing.loaders.Loader"><code class="xref py py-class docutils literal notranslate"><span class="pre">Loader</span></code></a></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.coords">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">coords</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.coords" title="Link to this definition">#</a></dt>
+<dd><p>Get coords dictionary for initializing xr.Dataset.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.data" title="Link to this definition">#</a></dt>
+<dd><p>Get a raster of source values corresponding to the
+high-resolution grid (the file_paths input grid * s_enhance *
+t_enhance). The shape is (lats, lons, temporal, 1)</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.get_data">
+<span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.get_data" title="Link to this definition">#</a></dt>
+<dd><p>Get a raster of source values corresponding to the
+high-resolution grid (the file_paths input grid * s_enhance *
+t_enhance). The shape is (lats, lons, 1)</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.get_distance_upper_bound">
+<span class="sig-name descname"><span class="pre">get_distance_upper_bound</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.get_distance_upper_bound" title="Link to this definition">#</a></dt>
+<dd><p>Maximum distance (float) to map high-resolution data from
+source_file to the low-resolution file_paths input.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.hr_lat_lon">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_lat_lon</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.hr_lat_lon" title="Link to this definition">#</a></dt>
+<dd><p>Lat lon grid for data in format (spatial_1, spatial_2, 2) Lat/Lon
+array with same ordering in last dimension. This corresponds to the
+enhanced meta data from the file_paths input * s_enhance.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>ndarray</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Get the high-resolution spatiotemporal shape</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.hr_time_index">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_time_index</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.hr_time_index" title="Link to this definition">#</a></dt>
+<dd><p>Get the full time index for aggregated source data</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Get the low-resolution spatiotemporal shape</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.nn">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">nn</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.nn" title="Link to this definition">#</a></dt>
+<dd><p>Get the nearest neighbor indices. This uses a single neighbor by
+default</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.source_handler">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">source_handler</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.source_handler" title="Link to this definition">#</a></dt>
+<dd><p>Get the Loader object that handles the exogenous data file.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.tree">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">tree</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.tree" title="Link to this definition">#</a></dt>
+<dd><p>Get the KDTree built on the target lat lon data from the file_paths
+input with s_enhance</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.source_data"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.source_data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.source_lat_lon"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.source_lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.cache_file"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.cache_file</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.coords"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.coords</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.data"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.get_data"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.get_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.get_distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.get_distance_upper_bound()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.hr_lat_lon"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.hr_lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.hr_shape"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.hr_time_index"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.hr_time_index</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.lr_shape"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.nn"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.nn</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.source_handler"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.source_handler</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.tree"><code class="docutils literal notranslate"><span class="pre">ExoRasterizerNC.tree</span></code></a></li>
+</ul>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>sup3r.preprocessing.rasterizers.exo.SzaRasterizer</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.source_data"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.source_data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.get_data"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.get_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.cache_file"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.cache_file</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.coords"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.coords</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.data"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.get_distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.get_distance_upper_bound()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.hr_lat_lon"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.hr_lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.hr_shape"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.hr_time_index"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.hr_time_index</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.lr_shape"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.nn"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.nn</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.source_handler"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.source_handler</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.source_lat_lon"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.source_lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.tree"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.tree</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-rasterizers-exo-szarasterizer">
+<h1>sup3r.preprocessing.rasterizers.exo.SzaRasterizer<a class="headerlink" href="#sup3r-preprocessing-rasterizers-exo-szarasterizer" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.SzaRasterizer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">SzaRasterizer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_handler_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_handler_kwargs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache_dir</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'./exo_cache/'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance_upper_bound</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/rasterizers/exo.html#SzaRasterizer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer" title="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseExoRasterizer</span></code></a></p>
+<p>SzaRasterizer for H5 files</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.get_data" title="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.get_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_data</span></code></a>()</p></td>
+<td><p>Get a raster of source values corresponding to the high-res grid (the file_paths input grid * s_enhance * t_enhance).</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.get_distance_upper_bound" title="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.get_distance_upper_bound"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_distance_upper_bound</span></code></a>()</p></td>
+<td><p>Maximum distance (float) to map high-resolution data from source_file to the low-resolution file_paths input.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">cache_dir</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.cache_file" title="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.cache_file"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cache_file</span></code></a></p></td>
+<td><p>Get cache file name</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">chunks</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.coords" title="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.coords"><code class="xref py py-obj docutils literal notranslate"><span class="pre">coords</span></code></a></p></td>
+<td><p>Get coords dictionary for initializing xr.Dataset.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.data" title="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Get a raster of source values corresponding to the high-resolution grid (the file_paths input grid * s_enhance * t_enhance).</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">distance_upper_bound</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">feature</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">file_paths</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.hr_lat_lon" title="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.hr_lat_lon"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_lat_lon</span></code></a></p></td>
+<td><p>Lat lon grid for data in format (spatial_1, spatial_2, 2) Lat/Lon array with same ordering in last dimension.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.hr_shape" title="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Get the high-resolution spatiotemporal shape</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.hr_time_index" title="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.hr_time_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_time_index</span></code></a></p></td>
+<td><p>Get the full time index for aggregated source data</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_handler_kwargs</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">input_handler_name</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.lr_shape" title="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Get the low-resolution spatiotemporal shape</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">max_workers</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.nn" title="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.nn"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nn</span></code></a></p></td>
+<td><p>Get the nearest neighbor indices.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">s_enhance</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.source_data" title="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.source_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">source_data</span></code></a></p></td>
+<td><p>Get the 1D array of sza data from the source_file_h5</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">source_file</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.source_handler" title="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.source_handler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">source_handler</span></code></a></p></td>
+<td><p>Get the Loader object that handles the exogenous data file.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.source_lat_lon" title="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.source_lat_lon"><code class="xref py py-obj docutils literal notranslate"><span class="pre">source_lat_lon</span></code></a></p></td>
+<td><p>Get the 2D array (n, 2) of lat, lon data from the source_file_h5</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">t_enhance</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.tree" title="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.tree"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tree</span></code></a></p></td>
+<td><p>Get the KDTree built on the target lat lon data from the file_paths input with s_enhance</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">verbose</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.source_data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">source_data</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.source_data" title="Link to this definition">#</a></dt>
+<dd><p>Get the 1D array of sza data from the source_file_h5</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.get_data">
+<span class="sig-name descname"><span class="pre">get_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/rasterizers/exo.html#SzaRasterizer.get_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.get_data" title="Link to this definition">#</a></dt>
+<dd><p>Get a raster of source values corresponding to the high-res grid
+(the file_paths input grid * s_enhance * t_enhance). The shape is
+(lats, lons, temporal)</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.cache_file">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">cache_file</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.cache_file" title="Link to this definition">#</a></dt>
+<dd><p>Get cache file name</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>cache_fp</strong> (<em>str</em>) – Name of cache file. This is a netcdf file which will be saved with
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Cacher</span></code> and loaded with
+<a class="reference internal" href="sup3r.preprocessing.loaders.Loader.html#sup3r.preprocessing.loaders.Loader" title="sup3r.preprocessing.loaders.Loader"><code class="xref py py-class docutils literal notranslate"><span class="pre">Loader</span></code></a></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.coords">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">coords</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.coords" title="Link to this definition">#</a></dt>
+<dd><p>Get coords dictionary for initializing xr.Dataset.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.data" title="Link to this definition">#</a></dt>
+<dd><p>Get a raster of source values corresponding to the
+high-resolution grid (the file_paths input grid * s_enhance *
+t_enhance). The shape is (lats, lons, temporal, 1)</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.get_distance_upper_bound">
+<span class="sig-name descname"><span class="pre">get_distance_upper_bound</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.get_distance_upper_bound" title="Link to this definition">#</a></dt>
+<dd><p>Maximum distance (float) to map high-resolution data from
+source_file to the low-resolution file_paths input.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.hr_lat_lon">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_lat_lon</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.hr_lat_lon" title="Link to this definition">#</a></dt>
+<dd><p>Lat lon grid for data in format (spatial_1, spatial_2, 2) Lat/Lon
+array with same ordering in last dimension. This corresponds to the
+enhanced meta data from the file_paths input * s_enhance.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>ndarray</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Get the high-resolution spatiotemporal shape</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.hr_time_index">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_time_index</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.hr_time_index" title="Link to this definition">#</a></dt>
+<dd><p>Get the full time index for aggregated source data</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Get the low-resolution spatiotemporal shape</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.nn">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">nn</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.nn" title="Link to this definition">#</a></dt>
+<dd><p>Get the nearest neighbor indices. This uses a single neighbor by
+default</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.source_handler">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">source_handler</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.source_handler" title="Link to this definition">#</a></dt>
+<dd><p>Get the Loader object that handles the exogenous data file.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.source_lat_lon">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">source_lat_lon</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.source_lat_lon" title="Link to this definition">#</a></dt>
+<dd><p>Get the 2D array (n, 2) of lat, lon data from the source_file_h5</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.tree">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">tree</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.tree" title="Link to this definition">#</a></dt>
+<dd><p>Get the KDTree built on the target lat lon data from the file_paths
+input with s_enhance</p>
+</dd></dl>
+
+</dd></dl>
+
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.source_data"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.source_data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.get_data"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.get_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.cache_file"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.cache_file</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.coords"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.coords</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.data"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.get_distance_upper_bound"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.get_distance_upper_bound()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.hr_lat_lon"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.hr_lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.hr_shape"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.hr_time_index"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.hr_time_index</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.lr_shape"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.nn"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.nn</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.source_handler"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.source_handler</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.source_lat_lon"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.source_lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.tree"><code class="docutils literal notranslate"><span class="pre">SzaRasterizer.tree</span></code></a></li>
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+    <h1>sup3r.preprocessing.rasterizers.exo</h1>
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+  <section id="module-sup3r.preprocessing.rasterizers.exo">
+<span id="sup3r-preprocessing-rasterizers-exo"></span><h1>sup3r.preprocessing.rasterizers.exo<a class="headerlink" href="#module-sup3r.preprocessing.rasterizers.exo" title="Link to this heading">#</a></h1>
+<p>Exo data rasterizers for topography and sza</p>
+<p>TODO: ExoDataHandler is pretty similar to ExoRasterizer. Maybe a mixin or
+subclass refactor here.</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer" title="sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseExoRasterizer</span></code></a>([file_paths, source_file, ...])</p></td>
+<td><p>Class to extract high-res (4km+) data rasters for new spatially-enhanced datasets (e.g. GCM files after spatial enhancement) using nearest neighbor mapping and aggregation from NREL datasets (e.g. WTK or NSRDB).</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.rasterizers.exo.ExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizer" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ExoRasterizer</span></code></a>(*[, file_paths, source_file, ...])</p></td>
+<td><p>Class to extract high-res (4km+) data rasters for new spatially-enhanced datasets (e.g. GCM files after spatial enhancement) using nearest neighbor mapping and aggregation from NREL datasets (e.g. WTK or NSRDB).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ExoRasterizerH5</span></code></a>([file_paths, source_file, ...])</p></td>
+<td><p>ExoRasterizer for H5 files</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC" title="sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ExoRasterizerNC</span></code></a>([file_paths, source_file, ...])</p></td>
+<td><p>ExoRasterizer for netCDF files</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.rasterizers.exo.SzaRasterizer.html#sup3r.preprocessing.rasterizers.exo.SzaRasterizer" title="sup3r.preprocessing.rasterizers.exo.SzaRasterizer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SzaRasterizer</span></code></a>([file_paths, source_file, ...])</p></td>
+<td><p>SzaRasterizer for H5 files</p></td>
+</tr>
+</tbody>
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+    <h1>sup3r.preprocessing.rasterizers.extended.Rasterizer</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer"><code class="docutils literal notranslate"><span class="pre">Rasterizer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.rasterize_data"><code class="docutils literal notranslate"><span class="pre">Rasterizer.rasterize_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.save_raster_index"><code class="docutils literal notranslate"><span class="pre">Rasterizer.save_raster_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.get_raster_index"><code class="docutils literal notranslate"><span class="pre">Rasterizer.get_raster_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.get_lat_lon"><code class="docutils literal notranslate"><span class="pre">Rasterizer.get_lat_lon()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.check_target_and_shape"><code class="docutils literal notranslate"><span class="pre">Rasterizer.check_target_and_shape()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.data"><code class="docutils literal notranslate"><span class="pre">Rasterizer.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.get_closest_row_col"><code class="docutils literal notranslate"><span class="pre">Rasterizer.get_closest_row_col()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.grid_shape"><code class="docutils literal notranslate"><span class="pre">Rasterizer.grid_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.lat_lon"><code class="docutils literal notranslate"><span class="pre">Rasterizer.lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.post_init_log"><code class="docutils literal notranslate"><span class="pre">Rasterizer.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.shape"><code class="docutils literal notranslate"><span class="pre">Rasterizer.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.target"><code class="docutils literal notranslate"><span class="pre">Rasterizer.target</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.time_slice"><code class="docutils literal notranslate"><span class="pre">Rasterizer.time_slice</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.wrap"><code class="docutils literal notranslate"><span class="pre">Rasterizer.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-rasterizers-extended-rasterizer">
+<h1>sup3r.preprocessing.rasterizers.extended.Rasterizer<a class="headerlink" href="#sup3r-preprocessing-rasterizers-extended-rasterizer" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.extended.Rasterizer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Rasterizer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'all'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">res_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_slice</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">slice(None,</span> <span class="pre">None,</span> <span class="pre">None)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">raster_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_delta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">20</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">BaseLoader</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/rasterizers/extended.html#Rasterizer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.rasterizers.base.BaseRasterizer.html#sup3r.preprocessing.rasterizers.base.BaseRasterizer" title="sup3r.preprocessing.rasterizers.base.BaseRasterizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseRasterizer</span></code></a></p>
+<p>Extended <cite>Rasterizer</cite> class which also handles the flattened data format
+used for some H5 files (e.g. Wind Toolkit or NSRDB data), and rasterizes
+directly from file paths rather than taking a Loader as input</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_paths</strong> (<em>str | list | pathlib.Path</em>) – file_paths input to LoaderClass</p></li>
+<li><p><strong>features</strong> (<em>list | str</em>) – Features to return in loaded dataset. If ‘all’ then all
+available features will be returned.</p></li>
+<li><p><strong>res_kwargs</strong> (<em>dict</em>) – Additional keyword arguments passed through to the <code class="docutils literal notranslate"><span class="pre">BaseLoader</span></code>.
+BaseLoader is usually xr.open_mfdataset for NETCDF files and
+MultiFileResourceX for H5 files.</p></li>
+<li><p><strong>chunks</strong> (<em>dict | str | None</em>) – Dictionary of chunk sizes to pass through to
+<code class="docutils literal notranslate"><span class="pre">dask.array.from_array()</span></code> or <code class="docutils literal notranslate"><span class="pre">xr.Dataset().chunk()</span></code>. Will be
+converted to a tuple when used in <code class="docutils literal notranslate"><span class="pre">from_array()</span></code>. These are the
+methods for H5 and NETCDF data, respectively. This argument can
+be “auto” in additional to a dictionary. If this is None then the
+data will not be chunked and instead loaded directly into memory.</p></li>
+<li><p><strong>target</strong> (<em>tuple</em>) – (lat, lon) lower left corner of raster. Either need
+target+shape or raster_file.</p></li>
+<li><p><strong>shape</strong> (<em>tuple</em>) – (rows, cols) grid size. Either need target+shape or
+raster_file.</p></li>
+<li><p><strong>time_slice</strong> (<em>slice | list</em>) – Slice specifying extent and step of temporal extraction. e.g.
+slice(start, stop, step). If equal to slice(None, None, 1) the full
+time dimension is selected. Can be also be a list <code class="docutils literal notranslate"><span class="pre">[start,</span> <span class="pre">stop,</span>
+<span class="pre">step]</span></code></p></li>
+<li><p><strong>threshold</strong> (<em>float</em>) – Nearest neighbor euclidean distance threshold. If the
+coordinates are more than this value away from the target
+lat/lon, an error is raised.</p></li>
+<li><p><strong>raster_file</strong> (<em>str | None</em>) – File for raster_index array for the corresponding target and shape.
+If specified the raster_index will be loaded from the file if it
+exists or written to the file if it does not yet exist. If None and
+raster_index is not provided raster_index will be calculated
+directly. Either need target+shape, raster_file, or raster_index
+input.</p></li>
+<li><p><strong>max_delta</strong> (<em>int</em>) – Optional maximum limit on the raster shape that is retrieved at
+once. If shape is (20, 20) and max_delta=10, the full raster will
+be retrieved in four chunks of (10, 10). This helps adapt to
+non-regular grids that curve over large distances.</p></li>
+<li><p><strong>BaseLoader</strong> (<em>Callable</em>) – Optional base loader method update. This is a function which
+takes <cite>file_paths</cite> and <cite>**kwargs</cite> and returns an initialized
+base loader with those arguments. The default for h5 is a
+method which returns MultiFileWindX(file_paths, <a href="#id1"><span class="problematic" id="id2">**</span></a>kwargs) and
+for nc the default is
+xarray.open_mfdataset(file_paths, <a href="#id3"><span class="problematic" id="id4">**</span></a>kwargs)</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.check_target_and_shape" title="sup3r.preprocessing.rasterizers.extended.Rasterizer.check_target_and_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_target_and_shape</span></code></a>(full_lat_lon)</p></td>
+<td><p>The data is assumed to use a regular grid so if either target or shape is not given we can easily find the values that give the maximum extent.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.get_closest_row_col" title="sup3r.preprocessing.rasterizers.extended.Rasterizer.get_closest_row_col"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_closest_row_col</span></code></a>(lat_lon, target)</p></td>
+<td><p>Get closest indices to target lat lon</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.get_lat_lon" title="sup3r.preprocessing.rasterizers.extended.Rasterizer.get_lat_lon"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_lat_lon</span></code></a>()</p></td>
+<td><p>Get the 2D array of coordinates corresponding to the requested target and shape.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.get_raster_index" title="sup3r.preprocessing.rasterizers.extended.Rasterizer.get_raster_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_raster_index</span></code></a>()</p></td>
+<td><p>Get set of slices or indices selecting the requested region from the contained data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.post_init_log" title="sup3r.preprocessing.rasterizers.extended.Rasterizer.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.rasterize_data" title="sup3r.preprocessing.rasterizers.extended.Rasterizer.rasterize_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rasterize_data</span></code></a>()</p></td>
+<td><p>Get rasterized data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.save_raster_index" title="sup3r.preprocessing.rasterizers.extended.Rasterizer.save_raster_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">save_raster_index</span></code></a>()</p></td>
+<td><p>Save raster index to cache file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.wrap" title="sup3r.preprocessing.rasterizers.extended.Rasterizer.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.data" title="sup3r.preprocessing.rasterizers.extended.Rasterizer.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.grid_shape" title="sup3r.preprocessing.rasterizers.extended.Rasterizer.grid_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">grid_shape</span></code></a></p></td>
+<td><p>Return the grid_shape based on the raster_index, since self._grid_shape does not need to be provided as an input if the raster_file is.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.lat_lon" title="sup3r.preprocessing.rasterizers.extended.Rasterizer.lat_lon"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lat_lon</span></code></a></p></td>
+<td><p>Get 2D grid of coordinates with <cite>target</cite> as the lower left coordinate.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.shape" title="sup3r.preprocessing.rasterizers.extended.Rasterizer.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.target" title="sup3r.preprocessing.rasterizers.extended.Rasterizer.target"><code class="xref py py-obj docutils literal notranslate"><span class="pre">target</span></code></a></p></td>
+<td><p>Return the true value based on the closest lat lon instead of the user provided value self._target, which is used to find the closest lat lon.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.time_slice" title="sup3r.preprocessing.rasterizers.extended.Rasterizer.time_slice"><code class="xref py py-obj docutils literal notranslate"><span class="pre">time_slice</span></code></a></p></td>
+<td><p>Return time slice for rasterized time period.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.extended.Rasterizer.rasterize_data">
+<span class="sig-name descname"><span class="pre">rasterize_data</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/rasterizers/extended.html#Rasterizer.rasterize_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.rasterize_data" title="Link to this definition">#</a></dt>
+<dd><p>Get rasterized data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.extended.Rasterizer.save_raster_index">
+<span class="sig-name descname"><span class="pre">save_raster_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/rasterizers/extended.html#Rasterizer.save_raster_index"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.save_raster_index" title="Link to this definition">#</a></dt>
+<dd><p>Save raster index to cache file.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.extended.Rasterizer.get_raster_index">
+<span class="sig-name descname"><span class="pre">get_raster_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/rasterizers/extended.html#Rasterizer.get_raster_index"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.get_raster_index" title="Link to this definition">#</a></dt>
+<dd><p>Get set of slices or indices selecting the requested region from
+the contained data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.extended.Rasterizer.get_lat_lon">
+<span class="sig-name descname"><span class="pre">get_lat_lon</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/rasterizers/extended.html#Rasterizer.get_lat_lon"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.get_lat_lon" title="Link to this definition">#</a></dt>
+<dd><p>Get the 2D array of coordinates corresponding to the requested
+target and shape.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.extended.Rasterizer.check_target_and_shape">
+<span class="sig-name descname"><span class="pre">check_target_and_shape</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">full_lat_lon</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.check_target_and_shape" title="Link to this definition">#</a></dt>
+<dd><p>The data is assumed to use a regular grid so if either target or
+shape is not given we can easily find the values that give the maximum
+extent.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.extended.Rasterizer.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.wrap" title="sup3r.preprocessing.rasterizers.extended.Rasterizer.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.extended.Rasterizer.get_closest_row_col">
+<span class="sig-name descname"><span class="pre">get_closest_row_col</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lat_lon</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.get_closest_row_col" title="Link to this definition">#</a></dt>
+<dd><p>Get closest indices to target lat lon</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>lat_lon</strong> (<em>ndarray</em>) – Array of lat/lon
+(spatial_1, spatial_2, 2)
+Last dimension in order of (lat, lon)</p></li>
+<li><p><strong>target</strong> (<em>tuple</em>) – (lat, lon) for target coordinate</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>row</strong> (<em>int</em>) – row index for closest lat/lon to target lat/lon</p></li>
+<li><p><strong>col</strong> (<em>int</em>) – col index for closest lat/lon to target lat/lon</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.extended.Rasterizer.grid_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">grid_shape</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.grid_shape" title="Link to this definition">#</a></dt>
+<dd><p>Return the grid_shape based on the raster_index, since
+self._grid_shape does not need to be provided as an input if the
+raster_file is.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.extended.Rasterizer.lat_lon">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lat_lon</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.lat_lon" title="Link to this definition">#</a></dt>
+<dd><p>Get 2D grid of coordinates with <cite>target</cite> as the lower left
+coordinate. (lats, lons, 2)</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.extended.Rasterizer.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.extended.Rasterizer.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.extended.Rasterizer.target">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">target</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.target" title="Link to this definition">#</a></dt>
+<dd><p>Return the true value based on the closest lat lon instead of the
+user provided value self._target, which is used to find the closest lat
+lon.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.extended.Rasterizer.time_slice">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">time_slice</span></span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.time_slice" title="Link to this definition">#</a></dt>
+<dd><p>Return time slice for rasterized time period.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.rasterizers.extended.Rasterizer.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
+              
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer"><code class="docutils literal notranslate"><span class="pre">Rasterizer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.rasterize_data"><code class="docutils literal notranslate"><span class="pre">Rasterizer.rasterize_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.save_raster_index"><code class="docutils literal notranslate"><span class="pre">Rasterizer.save_raster_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.get_raster_index"><code class="docutils literal notranslate"><span class="pre">Rasterizer.get_raster_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.get_lat_lon"><code class="docutils literal notranslate"><span class="pre">Rasterizer.get_lat_lon()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.check_target_and_shape"><code class="docutils literal notranslate"><span class="pre">Rasterizer.check_target_and_shape()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.data"><code class="docutils literal notranslate"><span class="pre">Rasterizer.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.get_closest_row_col"><code class="docutils literal notranslate"><span class="pre">Rasterizer.get_closest_row_col()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.grid_shape"><code class="docutils literal notranslate"><span class="pre">Rasterizer.grid_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.lat_lon"><code class="docutils literal notranslate"><span class="pre">Rasterizer.lat_lon</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.post_init_log"><code class="docutils literal notranslate"><span class="pre">Rasterizer.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.shape"><code class="docutils literal notranslate"><span class="pre">Rasterizer.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.target"><code class="docutils literal notranslate"><span class="pre">Rasterizer.target</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.time_slice"><code class="docutils literal notranslate"><span class="pre">Rasterizer.time_slice</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.rasterizers.extended.Rasterizer.wrap"><code class="docutils literal notranslate"><span class="pre">Rasterizer.wrap()</span></code></a></li>
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+  <section id="module-sup3r.preprocessing.rasterizers.extended">
+<span id="sup3r-preprocessing-rasterizers-extended"></span><h1>sup3r.preprocessing.rasterizers.extended<a class="headerlink" href="#module-sup3r.preprocessing.rasterizers.extended" title="Link to this heading">#</a></h1>
+<p>Extended <code class="docutils literal notranslate"><span class="pre">Rasterizer</span></code> that can rasterize flattened data.</p>
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+<td><p>Extended <cite>Rasterizer</cite> class which also handles the flattened data format used for some H5 files (e.g. Wind Toolkit or NSRDB data), and rasterizes directly from file paths rather than taking a Loader as input.</p></td>
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+    <h1>sup3r.preprocessing.rasterizers</h1>
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+  <section id="module-sup3r.preprocessing.rasterizers">
+<span id="sup3r-preprocessing-rasterizers"></span><h1>sup3r.preprocessing.rasterizers<a class="headerlink" href="#module-sup3r.preprocessing.rasterizers" title="Link to this heading">#</a></h1>
+<p>Container subclass with methods for extracting a specific spatiotemporal
+extents from data. <a class="reference internal" href="sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer" title="sup3r.preprocessing.rasterizers.extended.Rasterizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code></a> objects mostly operate on
+<a class="reference internal" href="sup3r.preprocessing.loaders.Loader.html#sup3r.preprocessing.loaders.Loader" title="sup3r.preprocessing.loaders.Loader"><code class="xref py py-class docutils literal notranslate"><span class="pre">Loader</span></code></a> objects, which just load data from
+files but do not do anything else to the data. <a class="reference internal" href="sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer" title="sup3r.preprocessing.rasterizers.extended.Rasterizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code></a> objects are
+mostly operated on by <code class="xref py py-class docutils literal notranslate"><span class="pre">Deriver</span></code> objects,
+which derive new features from the data contained in <a class="reference internal" href="sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer" title="sup3r.preprocessing.rasterizers.extended.Rasterizer"><code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code></a>
+objects.</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.rasterizers.base.html#module-sup3r.preprocessing.rasterizers.base" title="sup3r.preprocessing.rasterizers.base"><code class="xref py py-obj docutils literal notranslate"><span class="pre">base</span></code></a></p></td>
+<td><p>Objects that can rasterize 3D spatiotemporal data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.rasterizers.dual.html#module-sup3r.preprocessing.rasterizers.dual" title="sup3r.preprocessing.rasterizers.dual"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dual</span></code></a></p></td>
+<td><p>Paired rasterizer class for matching separate low_res and high_res datasets</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.rasterizers.exo.html#module-sup3r.preprocessing.rasterizers.exo" title="sup3r.preprocessing.rasterizers.exo"><code class="xref py py-obj docutils literal notranslate"><span class="pre">exo</span></code></a></p></td>
+<td><p>Exo data rasterizers for topography and sza</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.rasterizers.extended.html#module-sup3r.preprocessing.rasterizers.extended" title="sup3r.preprocessing.rasterizers.extended"><code class="xref py py-obj docutils literal notranslate"><span class="pre">extended</span></code></a></p></td>
+<td><p>Extended <code class="docutils literal notranslate"><span class="pre">Rasterizer</span></code> that can rasterize flattened data.</p></td>
+</tr>
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+    <h1>sup3r.preprocessing.samplers.base.Sampler</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
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+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler"><code class="docutils literal notranslate"><span class="pre">Sampler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.get_sample_index"><code class="docutils literal notranslate"><span class="pre">Sampler.get_sample_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.preflight"><code class="docutils literal notranslate"><span class="pre">Sampler.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.sample_shape"><code class="docutils literal notranslate"><span class="pre">Sampler.sample_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.hr_sample_shape"><code class="docutils literal notranslate"><span class="pre">Sampler.hr_sample_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.lr_only_features"><code class="docutils literal notranslate"><span class="pre">Sampler.lr_only_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">Sampler.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.data"><code class="docutils literal notranslate"><span class="pre">Sampler.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.hr_out_features"><code class="docutils literal notranslate"><span class="pre">Sampler.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.post_init_log"><code class="docutils literal notranslate"><span class="pre">Sampler.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.shape"><code class="docutils literal notranslate"><span class="pre">Sampler.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.wrap"><code class="docutils literal notranslate"><span class="pre">Sampler.wrap()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.hr_features_ind"><code class="docutils literal notranslate"><span class="pre">Sampler.hr_features_ind</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.hr_features"><code class="docutils literal notranslate"><span class="pre">Sampler.hr_features</span></code></a></li>
+</ul>
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+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-samplers-base-sampler">
+<h1>sup3r.preprocessing.samplers.base.Sampler<a class="headerlink" href="#sup3r-preprocessing-samplers-base-sampler" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.base.Sampler">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Sampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><span class="pre">tuple</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Dict" title="(in Python v3.13)"><span class="pre">Dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/samplers/base.html#Sampler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.samplers.base.Sampler" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a></p>
+<p>Basic Sampler class for iterating through batches of samples from the
+contained data.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>data</strong> (<em>Union[Sup3rX, Sup3rDataset],</em>) – Object with data that will be sampled from. Usually the <code class="docutils literal notranslate"><span class="pre">.data</span></code>
+attribute of various <a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a>
+objects.  i.e. <a class="reference internal" href="sup3r.preprocessing.loaders.Loader.html#sup3r.preprocessing.loaders.Loader" title="sup3r.preprocessing.loaders.Loader"><code class="xref py py-class docutils literal notranslate"><span class="pre">Loader</span></code></a>,
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code>,
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Deriver</span></code>, as long as the
+spatial dimensions are not flattened.</p></li>
+<li><p><strong>sample_shape</strong> (<em>tuple</em>) – Size of arrays to sample from the contained data.</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of samples to get to build a single batch. A sample of
+<code class="docutils literal notranslate"><span class="pre">(sample_shape[0],</span> <span class="pre">sample_shape[1],</span> <span class="pre">batch_size</span> <span class="pre">*</span>
+<span class="pre">sample_shape[2])</span></code> is first selected from underlying dataset and
+then reshaped into <code class="docutils literal notranslate"><span class="pre">(batch_size,</span> <span class="pre">*sample_shape)</span></code> to get a single
+batch. This is more efficient than getting <code class="docutils literal notranslate"><span class="pre">N</span> <span class="pre">=</span> <span class="pre">batch_size</span></code>
+samples and then stacking.</p></li>
+<li><p><strong>feature_sets</strong> (<em>Optional[dict]</em>) – Optional dictionary describing how the full set of features is
+split between <code class="docutils literal notranslate"><span class="pre">lr_only_features</span></code> and <code class="docutils literal notranslate"><span class="pre">hr_exo_features</span></code>.</p>
+<dl class="simple">
+<dt>features<span class="classifier">list | tuple</span></dt><dd><p>List of full set of features to use for sampling. If no entry
+is provided then all data_vars from data will be used.</p>
+</dd>
+<dt>lr_only_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should only be
+included in the low-res training set and not the high-res
+observations.</p>
+</dd>
+<dt>hr_exo_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should be included
+in the high-resolution observation but not expected to be
+output from the generative model. An example is high-res
+topography that is to be injected mid-network.</p>
+</dd>
+</dl>
+</li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.base.Sampler.get_sample_index" title="sup3r.preprocessing.samplers.base.Sampler.get_sample_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_sample_index</span></code></a>([n_obs])</p></td>
+<td><p>Randomly gets spatiotemporal sample index.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.base.Sampler.post_init_log" title="sup3r.preprocessing.samplers.base.Sampler.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.base.Sampler.preflight" title="sup3r.preprocessing.samplers.base.Sampler.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Check if the sample_shape is larger than the requested raster size</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.base.Sampler.wrap" title="sup3r.preprocessing.samplers.base.Sampler.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.base.Sampler.data" title="sup3r.preprocessing.samplers.base.Sampler.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.base.Sampler.hr_exo_features" title="sup3r.preprocessing.samplers.base.Sampler.hr_exo_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_exo_features</span></code></a></p></td>
+<td><p>Get a list of exogenous high-resolution features that are only used for training e.g., mid-network high-res topo injection.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.base.Sampler.hr_features" title="sup3r.preprocessing.samplers.base.Sampler.hr_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_features</span></code></a></p></td>
+<td><p>Get the high-resolution features corresponding to <cite>hr_features_ind</cite></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.base.Sampler.hr_features_ind" title="sup3r.preprocessing.samplers.base.Sampler.hr_features_ind"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_features_ind</span></code></a></p></td>
+<td><p>Get the high-resolution feature channel indices that should be included for training.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.base.Sampler.hr_out_features" title="sup3r.preprocessing.samplers.base.Sampler.hr_out_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_out_features</span></code></a></p></td>
+<td><p>Get a list of high-resolution features that are intended to be output by the GAN.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.base.Sampler.hr_sample_shape" title="sup3r.preprocessing.samplers.base.Sampler.hr_sample_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_sample_shape</span></code></a></p></td>
+<td><p>Shape of the data sample to select when <cite>__next__()</cite> is called.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.base.Sampler.lr_only_features" title="sup3r.preprocessing.samplers.base.Sampler.lr_only_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_only_features</span></code></a></p></td>
+<td><p>List of feature names or patt*erns that should only be included in the low-res training set and not the high-res observations.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.base.Sampler.sample_shape" title="sup3r.preprocessing.samplers.base.Sampler.sample_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_shape</span></code></a></p></td>
+<td><p>Shape of the data sample to select when <code class="docutils literal notranslate"><span class="pre">__next__()</span></code> is called.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.base.Sampler.shape" title="sup3r.preprocessing.samplers.base.Sampler.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.base.Sampler.get_sample_index">
+<span class="sig-name descname"><span class="pre">get_sample_index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_obs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/samplers/base.html#Sampler.get_sample_index"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.samplers.base.Sampler.get_sample_index" title="Link to this definition">#</a></dt>
+<dd><p>Randomly gets spatiotemporal sample index.</p>
+<p class="rubric">Notes</p>
+<p>If <code class="docutils literal notranslate"><span class="pre">n_obs</span> <span class="pre">&gt;</span> <span class="pre">1</span></code> this will get a time slice with <code class="docutils literal notranslate"><span class="pre">n_obs</span> <span class="pre">*</span>
+<span class="pre">self.sample_shape[2]</span></code> time steps, which will then be reshaped into
+<code class="docutils literal notranslate"><span class="pre">n_obs</span></code> samples each with <code class="docutils literal notranslate"><span class="pre">self.sample_shape[2]</span></code> time steps. This
+is a much more efficient way of getting batches of samples but only
+works if there are enough continuous time steps to sample.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>sample_index</strong> (<em>tuple</em>) – Tuple of latitude slice, longitude slice, time slice, and features.
+Used to get single observation like <code class="docutils literal notranslate"><span class="pre">self.data[sample_index]</span></code></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.base.Sampler.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/samplers/base.html#Sampler.preflight"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.samplers.base.Sampler.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Check if the sample_shape is larger than the requested raster
+size</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.base.Sampler.sample_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">sample_shape</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a></em><a class="headerlink" href="#sup3r.preprocessing.samplers.base.Sampler.sample_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of the data sample to select when <code class="docutils literal notranslate"><span class="pre">__next__()</span></code> is called.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.base.Sampler.hr_sample_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_sample_shape</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a></em><a class="headerlink" href="#sup3r.preprocessing.samplers.base.Sampler.hr_sample_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of the data sample to select when <cite>__next__()</cite> is called. Same
+as sample_shape</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.base.Sampler.lr_only_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_only_features</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.base.Sampler.lr_only_features" title="Link to this definition">#</a></dt>
+<dd><p>List of feature names or patt*erns that should only be included in
+the low-res training set and not the high-res observations.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.base.Sampler.hr_exo_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_exo_features</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.base.Sampler.hr_exo_features" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of exogenous high-resolution features that are only used
+for training e.g., mid-network high-res topo injection. These must come
+at the end of the high-res feature set. These can also be input to the
+model as low-res features.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.base.Sampler.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.base.Sampler.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.samplers.base.Sampler.wrap" title="sup3r.preprocessing.samplers.base.Sampler.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.base.Sampler.hr_out_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_out_features</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.base.Sampler.hr_out_features" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of high-resolution features that are intended to be
+output by the GAN. Does not include high-resolution exogenous
+features</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.base.Sampler.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.samplers.base.Sampler.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.base.Sampler.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.base.Sampler.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.base.Sampler.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.samplers.base.Sampler.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.base.Sampler.hr_features_ind">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_features_ind</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.base.Sampler.hr_features_ind" title="Link to this definition">#</a></dt>
+<dd><p>Get the high-resolution feature channel indices that should be
+included for training. Any high-resolution features that are only
+included in the data handler to be coarsened for the low-res input are
+removed</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.base.Sampler.hr_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_features</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.base.Sampler.hr_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the high-resolution features corresponding to
+<cite>hr_features_ind</cite></p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
+              
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler"><code class="docutils literal notranslate"><span class="pre">Sampler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.get_sample_index"><code class="docutils literal notranslate"><span class="pre">Sampler.get_sample_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.preflight"><code class="docutils literal notranslate"><span class="pre">Sampler.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.sample_shape"><code class="docutils literal notranslate"><span class="pre">Sampler.sample_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.hr_sample_shape"><code class="docutils literal notranslate"><span class="pre">Sampler.hr_sample_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.lr_only_features"><code class="docutils literal notranslate"><span class="pre">Sampler.lr_only_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">Sampler.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.data"><code class="docutils literal notranslate"><span class="pre">Sampler.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.hr_out_features"><code class="docutils literal notranslate"><span class="pre">Sampler.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.post_init_log"><code class="docutils literal notranslate"><span class="pre">Sampler.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.shape"><code class="docutils literal notranslate"><span class="pre">Sampler.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.wrap"><code class="docutils literal notranslate"><span class="pre">Sampler.wrap()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.hr_features_ind"><code class="docutils literal notranslate"><span class="pre">Sampler.hr_features_ind</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.base.Sampler.hr_features"><code class="docutils literal notranslate"><span class="pre">Sampler.hr_features</span></code></a></li>
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+<p>Basic <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> objects. These are containers which also can sample from
+the underlying data. These interface with <code class="docutils literal notranslate"><span class="pre">BatchQueues</span></code> so they also have
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+    <h1>sup3r.preprocessing.samplers.cc.DualSamplerCC</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.check_for_consistent_shapes"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.check_for_consistent_shapes()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.reduce_high_res_sub_daily"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.reduce_high_res_sub_daily()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.get_middle_days"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.get_middle_days()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.get_sample_index"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.get_sample_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.data"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.get_features"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.get_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_features"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.hr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_features_ind"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.hr_features_ind</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_out_features"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_sample_shape"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.hr_sample_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.lr_only_features"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.lr_only_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.post_init_log"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.preflight"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.sample_shape"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.sample_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.shape"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.wrap"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-samplers-cc-dualsamplercc">
+<h1>sup3r.preprocessing.samplers.cc.DualSamplerCC<a class="headerlink" href="#sup3r-preprocessing-samplers-cc-dualsamplercc" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.cc.DualSamplerCC">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">DualSamplerCC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><span class="pre">Sup3rDataset</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><span class="pre">tuple</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">24</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Dict" title="(in Python v3.13)"><span class="pre">Dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/samplers/cc.html#DualSamplerCC"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler" title="sup3r.preprocessing.samplers.dual.DualSampler"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code></a></p>
+<p>Special sampling of WTK or NSRDB data for climate change applications</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This will always give daily / hourly data if <code class="docutils literal notranslate"><span class="pre">t_enhance</span> <span class="pre">!=</span> <span class="pre">1</span></code>. The number
+of days / hours in the samples is determined by t_enhance. For example, if
+<code class="docutils literal notranslate"><span class="pre">t_enhance</span> <span class="pre">=</span> <span class="pre">8</span></code> and <code class="docutils literal notranslate"><span class="pre">sample_shape</span> <span class="pre">=</span> <span class="pre">(...,</span> <span class="pre">24)</span></code> there will be 3 days in
+the low res sample: <cite>lr_sample_shape = (…, 3)</cite>. If
+<code class="docutils literal notranslate"><span class="pre">1</span> <span class="pre">&lt;</span> <span class="pre">t_enhance</span> <span class="pre">!=</span> <span class="pre">24</span></code> <a class="reference internal" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.reduce_high_res_sub_daily" title="sup3r.preprocessing.samplers.cc.DualSamplerCC.reduce_high_res_sub_daily"><code class="xref py py-meth docutils literal notranslate"><span class="pre">reduce_high_res_sub_daily()</span></code></a> will be used to
+reduce a high res sample shape from
+<code class="docutils literal notranslate"><span class="pre">(...,</span> <span class="pre">sample_shape[2]</span> <span class="pre">*</span> <span class="pre">24</span> <span class="pre">//</span> <span class="pre">t_enhance)</span></code> to <code class="docutils literal notranslate"><span class="pre">(...,</span> <span class="pre">sample_shape[2])</span></code></p>
+</div>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>data</strong> (<em>Sup3rDataset</em>) – A <code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code> instance with low-res
+and high-res data members</p></li>
+<li><p><strong>sample_shape</strong> (<em>tuple</em>) – Size of arrays to sample from the high-res data. The sample shape
+for the low-res sampler will be determined from the enhancement
+factors.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Spatial enhancement factor</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Temporal enhancement factor</p></li>
+<li><p><strong>feature_sets</strong> (<em>Optional[dict]</em>) – Optional dictionary describing how the full set of features is
+split between <code class="docutils literal notranslate"><span class="pre">lr_only_features</span></code> and <code class="docutils literal notranslate"><span class="pre">hr_exo_features</span></code>.</p>
+<dl class="simple">
+<dt>lr_only_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should only be
+included in the low-res training set and not the high-res
+observations.</p>
+</dd>
+<dt>hr_exo_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should be included
+in the high-resolution observation but not expected to be
+output from the generative model. An example is high-res
+topography that is to be injected mid-network.</p>
+</dd>
+</dl>
+</li>
+</ul>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code></p>
+</div>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.check_for_consistent_shapes" title="sup3r.preprocessing.samplers.cc.DualSamplerCC.check_for_consistent_shapes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_for_consistent_shapes</span></code></a>()</p></td>
+<td><p>Make sure container shapes and sample shapes are compatible with enhancement factors.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.get_features" title="sup3r.preprocessing.samplers.cc.DualSamplerCC.get_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_features</span></code></a>(feature_sets)</p></td>
+<td><p>Return default set of features composed from data vars in low res and high res data objects or the value provided through the feature_sets dictionary.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.get_middle_days" title="sup3r.preprocessing.samplers.cc.DualSamplerCC.get_middle_days"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_middle_days</span></code></a>(high_res, sample_shape)</p></td>
+<td><p>Get middle chunk of high_res data that will then be reduced to day time steps.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.get_sample_index" title="sup3r.preprocessing.samplers.cc.DualSamplerCC.get_sample_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_sample_index</span></code></a>([n_obs])</p></td>
+<td><p>Get sample index for expanded hourly chunk which will be reduced to the given sample shape.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.post_init_log" title="sup3r.preprocessing.samplers.cc.DualSamplerCC.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.preflight" title="sup3r.preprocessing.samplers.cc.DualSamplerCC.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Check if the sample_shape is larger than the requested raster size</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.reduce_high_res_sub_daily" title="sup3r.preprocessing.samplers.cc.DualSamplerCC.reduce_high_res_sub_daily"><code class="xref py py-obj docutils literal notranslate"><span class="pre">reduce_high_res_sub_daily</span></code></a>(high_res[, csr_ind])</p></td>
+<td><p>Take an hourly high-res observation and reduce the temporal axis down to lr_sample_shape[2] * t_enhance time steps, using only daylight hours on the middle part of the high res data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.wrap" title="sup3r.preprocessing.samplers.cc.DualSamplerCC.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.data" title="sup3r.preprocessing.samplers.cc.DualSamplerCC.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_exo_features" title="sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_exo_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_exo_features</span></code></a></p></td>
+<td><p>Get a list of exogenous high-resolution features that are only used for training e.g., mid-network high-res topo injection.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_features" title="sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_features</span></code></a></p></td>
+<td><p>Get the high-resolution features corresponding to <cite>hr_features_ind</cite></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_features_ind" title="sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_features_ind"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_features_ind</span></code></a></p></td>
+<td><p>Get the high-resolution feature channel indices that should be included for training.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_out_features" title="sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_out_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_out_features</span></code></a></p></td>
+<td><p>Get a list of high-resolution features that are intended to be output by the GAN.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_sample_shape" title="sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_sample_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_sample_shape</span></code></a></p></td>
+<td><p>Shape of the data sample to select when <cite>__next__()</cite> is called.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.lr_only_features" title="sup3r.preprocessing.samplers.cc.DualSamplerCC.lr_only_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_only_features</span></code></a></p></td>
+<td><p>List of feature names or patt*erns that should only be included in the low-res training set and not the high-res observations.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.sample_shape" title="sup3r.preprocessing.samplers.cc.DualSamplerCC.sample_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_shape</span></code></a></p></td>
+<td><p>Shape of the data sample to select when <code class="docutils literal notranslate"><span class="pre">__next__()</span></code> is called.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.shape" title="sup3r.preprocessing.samplers.cc.DualSamplerCC.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.cc.DualSamplerCC.check_for_consistent_shapes">
+<span class="sig-name descname"><span class="pre">check_for_consistent_shapes</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/samplers/cc.html#DualSamplerCC.check_for_consistent_shapes"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.check_for_consistent_shapes" title="Link to this definition">#</a></dt>
+<dd><p>Make sure container shapes and sample shapes are compatible with
+enhancement factors.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.cc.DualSamplerCC.reduce_high_res_sub_daily">
+<span class="sig-name descname"><span class="pre">reduce_high_res_sub_daily</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">csr_ind</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/samplers/cc.html#DualSamplerCC.reduce_high_res_sub_daily"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.reduce_high_res_sub_daily" title="Link to this definition">#</a></dt>
+<dd><p>Take an hourly high-res observation and reduce the temporal axis
+down to lr_sample_shape[2] * t_enhance time steps, using only daylight
+hours on the middle part of the high res data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 5D array with dimensions (n_obs, spatial_1, spatial_2, temporal,
+n_features) where temporal &gt;= 24 (set by the data handler).</p></li>
+<li><p><strong>csr_ind</strong> (<em>int</em>) – Feature index of clearsky_ratio. e.g. self.data[…, csr_ind] -&gt;
+cs_ratio</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 5D array with dimensions (n_obs, spatial_1, spatial_2, temporal,
+n_features) where temporal has been reduced down to the integer
+lr_sample_shape[2] * t_enhance. For example if hr_sample_shape[2]
+is 9 and t_enhance = 8, 72 hourly time steps will be reduced to 9
+using the center daylight 9 hours from the second day.</p>
+</dd>
+</dl>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This only does something when <code class="docutils literal notranslate"><span class="pre">1</span> <span class="pre">&lt;</span> <span class="pre">t_enhance</span> <span class="pre">&lt;</span> <span class="pre">24.</span></code> If
+<code class="docutils literal notranslate"><span class="pre">t_enhance</span> <span class="pre">=</span> <span class="pre">24</span></code> there is no need for reduction since every daily
+time step will have 24 hourly time steps in the high_res batch data.
+Of course, if <code class="docutils literal notranslate"><span class="pre">t_enhance</span> <span class="pre">=</span> <span class="pre">1</span></code>, we are running for a spatial only
+model so this routine is unnecessary.</p>
+<p><a href="#id1"><span class="problematic" id="id2">*</span></a>Needs review from &#64;grantbuster</p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.cc.DualSamplerCC.get_middle_days">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_middle_days</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/samplers/cc.html#DualSamplerCC.get_middle_days"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.get_middle_days" title="Link to this definition">#</a></dt>
+<dd><p>Get middle chunk of high_res data that will then be reduced to day
+time steps. This has n_time_steps = 24 if sample_shape[-1] &lt;= 24
+otherwise n_time_steps = sample_shape[-1].</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.cc.DualSamplerCC.get_sample_index">
+<span class="sig-name descname"><span class="pre">get_sample_index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_obs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/samplers/cc.html#DualSamplerCC.get_sample_index"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.get_sample_index" title="Link to this definition">#</a></dt>
+<dd><p>Get sample index for expanded hourly chunk which will be reduced to
+the given sample shape.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.cc.DualSamplerCC.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.wrap" title="sup3r.preprocessing.samplers.cc.DualSamplerCC.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.cc.DualSamplerCC.get_features">
+<span class="sig-name descname"><span class="pre">get_features</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.get_features" title="Link to this definition">#</a></dt>
+<dd><p>Return default set of features composed from data vars in low res
+and high res data objects or the value provided through the
+feature_sets dictionary.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_exo_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_exo_features</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_exo_features" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of exogenous high-resolution features that are only used
+for training e.g., mid-network high-res topo injection. These must come
+at the end of the high-res feature set. These can also be input to the
+model as low-res features.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_features</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the high-resolution features corresponding to
+<cite>hr_features_ind</cite></p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_features_ind">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_features_ind</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_features_ind" title="Link to this definition">#</a></dt>
+<dd><p>Get the high-resolution feature channel indices that should be
+included for training. Any high-resolution features that are only
+included in the data handler to be coarsened for the low-res input are
+removed</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_out_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_out_features</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_out_features" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of high-resolution features that are intended to be
+output by the GAN. Does not include high-resolution exogenous
+features</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_sample_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_sample_shape</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a></em><a class="headerlink" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_sample_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of the data sample to select when <cite>__next__()</cite> is called. Same
+as sample_shape</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.cc.DualSamplerCC.lr_only_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_only_features</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.lr_only_features" title="Link to this definition">#</a></dt>
+<dd><p>List of feature names or patt*erns that should only be included in
+the low-res training set and not the high-res observations.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.cc.DualSamplerCC.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.cc.DualSamplerCC.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Check if the sample_shape is larger than the requested raster
+size</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.cc.DualSamplerCC.sample_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">sample_shape</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a></em><a class="headerlink" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.sample_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of the data sample to select when <code class="docutils literal notranslate"><span class="pre">__next__()</span></code> is called.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.cc.DualSamplerCC.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.cc.DualSamplerCC.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
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+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.check_for_consistent_shapes"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.check_for_consistent_shapes()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.reduce_high_res_sub_daily"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.reduce_high_res_sub_daily()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.get_middle_days"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.get_middle_days()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.get_sample_index"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.get_sample_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.data"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.get_features"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.get_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_features"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.hr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_features_ind"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.hr_features_ind</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_out_features"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_sample_shape"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.hr_sample_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.lr_only_features"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.lr_only_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.post_init_log"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.preflight"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.sample_shape"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.sample_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.shape"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.cc.DualSamplerCC.wrap"><code class="docutils literal notranslate"><span class="pre">DualSamplerCC.wrap()</span></code></a></li>
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+  <section id="module-sup3r.preprocessing.samplers.cc">
+<span id="sup3r-preprocessing-samplers-cc"></span><h1>sup3r.preprocessing.samplers.cc<a class="headerlink" href="#module-sup3r.preprocessing.samplers.cc" title="Link to this heading">#</a></h1>
+<p>Sampler for climate change applications.</p>
+<p class="rubric">Classes</p>
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+    <h1>sup3r.preprocessing.samplers.dc.SamplerDC</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC"><code class="docutils literal notranslate"><span class="pre">SamplerDC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.update_weights"><code class="docutils literal notranslate"><span class="pre">SamplerDC.update_weights()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.get_sample_index"><code class="docutils literal notranslate"><span class="pre">SamplerDC.get_sample_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.data"><code class="docutils literal notranslate"><span class="pre">SamplerDC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">SamplerDC.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.hr_features"><code class="docutils literal notranslate"><span class="pre">SamplerDC.hr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.hr_features_ind"><code class="docutils literal notranslate"><span class="pre">SamplerDC.hr_features_ind</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.hr_out_features"><code class="docutils literal notranslate"><span class="pre">SamplerDC.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.hr_sample_shape"><code class="docutils literal notranslate"><span class="pre">SamplerDC.hr_sample_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.lr_only_features"><code class="docutils literal notranslate"><span class="pre">SamplerDC.lr_only_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.post_init_log"><code class="docutils literal notranslate"><span class="pre">SamplerDC.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.preflight"><code class="docutils literal notranslate"><span class="pre">SamplerDC.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.sample_shape"><code class="docutils literal notranslate"><span class="pre">SamplerDC.sample_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.shape"><code class="docutils literal notranslate"><span class="pre">SamplerDC.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.wrap"><code class="docutils literal notranslate"><span class="pre">SamplerDC.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-samplers-dc-samplerdc">
+<h1>sup3r.preprocessing.samplers.dc.SamplerDC<a class="headerlink" href="#sup3r-preprocessing-samplers-dc-samplerdc" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dc.SamplerDC">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">SamplerDC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX" title="sup3r.preprocessing.accessor.Sup3rX"><span class="pre">Sup3rX</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><span class="pre">Sup3rDataset</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><span class="pre">tuple</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Dict" title="(in Python v3.13)"><span class="pre">Dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spatial_weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/samplers/dc.html#SamplerDC"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.samplers.dc.SamplerDC" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler" title="sup3r.preprocessing.samplers.base.Sampler"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code></a></p>
+<p>DataCentric Sampler class used for sampling based on weights which can
+be updated during training.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union[Sup3rX, Sup3rDataset],</em>) – Object with data that will be sampled from. Usually the <cite>.data</cite>
+attribute of various <code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code> objects.  i.e.
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Loader</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">Deriver</span></code>, as long as
+the spatial dimensions are not flattened.</p></li>
+<li><p><strong>sample_shape</strong> (<em>tuple</em>) – Size of arrays to sample from the contained data.</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of samples to get to build a single batch. A sample of
+(sample_shape[0], sample_shape[1], batch_size * sample_shape[2])
+is first selected from underlying dataset and then reshaped into
+(batch_size, <a href="#id1"><span class="problematic" id="id2">*</span></a>sample_shape) to get a single batch. This is more
+efficient than getting N = batch_size samples and then stacking.</p></li>
+<li><p><strong>feature_sets</strong> (<em>Optional[dict]</em>) – Optional dictionary describing how the full set of features is
+split between <cite>lr_only_features</cite> and <cite>hr_exo_features</cite>. See
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code></p></li>
+<li><p><strong>spatial_weights</strong> (<em>Union[np.ndarray, da.core.Array] | List | None</em>) – Set of weights used to initialize the spatial sampling. e.g. If we
+want to start off sampling across 2 spatial bins evenly this should
+be [0.5, 0.5]. During training these weights will be updated based
+only performance across the bins associated with these weights.</p></li>
+<li><p><strong>temporal_weights</strong> (<em>Union[np.ndarray, da.core.Array] | List | None</em>) – Set of weights used to initialize the temporal sampling. e.g. If we
+want to start off sampling only the first season of the year this
+should be [1, 0, 0, 0]. During training these weights will be
+updated based only performance across the bins associated with
+these weights.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dc.SamplerDC.get_sample_index" title="sup3r.preprocessing.samplers.dc.SamplerDC.get_sample_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_sample_index</span></code></a>([n_obs])</p></td>
+<td><p>Randomly gets weighted spatial sample and time sample indices</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dc.SamplerDC.post_init_log" title="sup3r.preprocessing.samplers.dc.SamplerDC.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dc.SamplerDC.preflight" title="sup3r.preprocessing.samplers.dc.SamplerDC.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Check if the sample_shape is larger than the requested raster size</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dc.SamplerDC.update_weights" title="sup3r.preprocessing.samplers.dc.SamplerDC.update_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_weights</span></code></a>(spatial_weights, temporal_weights)</p></td>
+<td><p>Update spatial and temporal sampling weights.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dc.SamplerDC.wrap" title="sup3r.preprocessing.samplers.dc.SamplerDC.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dc.SamplerDC.data" title="sup3r.preprocessing.samplers.dc.SamplerDC.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dc.SamplerDC.hr_exo_features" title="sup3r.preprocessing.samplers.dc.SamplerDC.hr_exo_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_exo_features</span></code></a></p></td>
+<td><p>Get a list of exogenous high-resolution features that are only used for training e.g., mid-network high-res topo injection.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dc.SamplerDC.hr_features" title="sup3r.preprocessing.samplers.dc.SamplerDC.hr_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_features</span></code></a></p></td>
+<td><p>Get the high-resolution features corresponding to <cite>hr_features_ind</cite></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dc.SamplerDC.hr_features_ind" title="sup3r.preprocessing.samplers.dc.SamplerDC.hr_features_ind"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_features_ind</span></code></a></p></td>
+<td><p>Get the high-resolution feature channel indices that should be included for training.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dc.SamplerDC.hr_out_features" title="sup3r.preprocessing.samplers.dc.SamplerDC.hr_out_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_out_features</span></code></a></p></td>
+<td><p>Get a list of high-resolution features that are intended to be output by the GAN.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dc.SamplerDC.hr_sample_shape" title="sup3r.preprocessing.samplers.dc.SamplerDC.hr_sample_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_sample_shape</span></code></a></p></td>
+<td><p>Shape of the data sample to select when <cite>__next__()</cite> is called.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dc.SamplerDC.lr_only_features" title="sup3r.preprocessing.samplers.dc.SamplerDC.lr_only_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_only_features</span></code></a></p></td>
+<td><p>List of feature names or patt*erns that should only be included in the low-res training set and not the high-res observations.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dc.SamplerDC.sample_shape" title="sup3r.preprocessing.samplers.dc.SamplerDC.sample_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_shape</span></code></a></p></td>
+<td><p>Shape of the data sample to select when <code class="docutils literal notranslate"><span class="pre">__next__()</span></code> is called.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dc.SamplerDC.shape" title="sup3r.preprocessing.samplers.dc.SamplerDC.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dc.SamplerDC.update_weights">
+<span class="sig-name descname"><span class="pre">update_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spatial_weights</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_weights</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/samplers/dc.html#SamplerDC.update_weights"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.samplers.dc.SamplerDC.update_weights" title="Link to this definition">#</a></dt>
+<dd><p>Update spatial and temporal sampling weights.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dc.SamplerDC.get_sample_index">
+<span class="sig-name descname"><span class="pre">get_sample_index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_obs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/samplers/dc.html#SamplerDC.get_sample_index"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.samplers.dc.SamplerDC.get_sample_index" title="Link to this definition">#</a></dt>
+<dd><p>Randomly gets weighted spatial sample and time sample indices</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>observation_index</strong> (<em>tuple</em>) – Tuple of sampled spatial grid, time slice, and features indices.
+Used to get single observation like self.data[observation_index]</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dc.SamplerDC.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.dc.SamplerDC.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.samplers.dc.SamplerDC.wrap" title="sup3r.preprocessing.samplers.dc.SamplerDC.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dc.SamplerDC.hr_exo_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_exo_features</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.dc.SamplerDC.hr_exo_features" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of exogenous high-resolution features that are only used
+for training e.g., mid-network high-res topo injection. These must come
+at the end of the high-res feature set. These can also be input to the
+model as low-res features.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dc.SamplerDC.hr_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_features</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.dc.SamplerDC.hr_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the high-resolution features corresponding to
+<cite>hr_features_ind</cite></p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dc.SamplerDC.hr_features_ind">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_features_ind</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.dc.SamplerDC.hr_features_ind" title="Link to this definition">#</a></dt>
+<dd><p>Get the high-resolution feature channel indices that should be
+included for training. Any high-resolution features that are only
+included in the data handler to be coarsened for the low-res input are
+removed</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dc.SamplerDC.hr_out_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_out_features</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.dc.SamplerDC.hr_out_features" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of high-resolution features that are intended to be
+output by the GAN. Does not include high-resolution exogenous
+features</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dc.SamplerDC.hr_sample_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_sample_shape</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a></em><a class="headerlink" href="#sup3r.preprocessing.samplers.dc.SamplerDC.hr_sample_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of the data sample to select when <cite>__next__()</cite> is called. Same
+as sample_shape</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dc.SamplerDC.lr_only_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_only_features</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.dc.SamplerDC.lr_only_features" title="Link to this definition">#</a></dt>
+<dd><p>List of feature names or patt*erns that should only be included in
+the low-res training set and not the high-res observations.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dc.SamplerDC.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.samplers.dc.SamplerDC.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dc.SamplerDC.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.samplers.dc.SamplerDC.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Check if the sample_shape is larger than the requested raster
+size</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dc.SamplerDC.sample_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">sample_shape</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a></em><a class="headerlink" href="#sup3r.preprocessing.samplers.dc.SamplerDC.sample_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of the data sample to select when <code class="docutils literal notranslate"><span class="pre">__next__()</span></code> is called.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dc.SamplerDC.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.dc.SamplerDC.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dc.SamplerDC.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.samplers.dc.SamplerDC.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC"><code class="docutils literal notranslate"><span class="pre">SamplerDC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.update_weights"><code class="docutils literal notranslate"><span class="pre">SamplerDC.update_weights()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.get_sample_index"><code class="docutils literal notranslate"><span class="pre">SamplerDC.get_sample_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.data"><code class="docutils literal notranslate"><span class="pre">SamplerDC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">SamplerDC.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.hr_features"><code class="docutils literal notranslate"><span class="pre">SamplerDC.hr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.hr_features_ind"><code class="docutils literal notranslate"><span class="pre">SamplerDC.hr_features_ind</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.hr_out_features"><code class="docutils literal notranslate"><span class="pre">SamplerDC.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.hr_sample_shape"><code class="docutils literal notranslate"><span class="pre">SamplerDC.hr_sample_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.lr_only_features"><code class="docutils literal notranslate"><span class="pre">SamplerDC.lr_only_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.post_init_log"><code class="docutils literal notranslate"><span class="pre">SamplerDC.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.preflight"><code class="docutils literal notranslate"><span class="pre">SamplerDC.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.sample_shape"><code class="docutils literal notranslate"><span class="pre">SamplerDC.sample_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.shape"><code class="docutils literal notranslate"><span class="pre">SamplerDC.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dc.SamplerDC.wrap"><code class="docutils literal notranslate"><span class="pre">SamplerDC.wrap()</span></code></a></li>
+</ul>
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+</ul>
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+  <section id="module-sup3r.preprocessing.samplers.dc">
+<span id="sup3r-preprocessing-samplers-dc"></span><h1>sup3r.preprocessing.samplers.dc<a class="headerlink" href="#module-sup3r.preprocessing.samplers.dc" title="Link to this heading">#</a></h1>
+<p>Data centric sampler. This samples container data according to weights
+which are updated during training based on performance of the model.</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
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+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.samplers.dc.SamplerDC.html#sup3r.preprocessing.samplers.dc.SamplerDC" title="sup3r.preprocessing.samplers.dc.SamplerDC"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SamplerDC</span></code></a>(data[, sample_shape, batch_size, ...])</p></td>
+<td><p>DataCentric Sampler class used for sampling based on weights which can be updated during training.</p></td>
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+    <h1>sup3r.preprocessing.samplers.dual.DualSampler</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
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+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler"><code class="docutils literal notranslate"><span class="pre">DualSampler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.hr_sample_shape"><code class="docutils literal notranslate"><span class="pre">DualSampler.hr_sample_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.get_features"><code class="docutils literal notranslate"><span class="pre">DualSampler.get_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.check_for_consistent_shapes"><code class="docutils literal notranslate"><span class="pre">DualSampler.check_for_consistent_shapes()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.get_sample_index"><code class="docutils literal notranslate"><span class="pre">DualSampler.get_sample_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.data"><code class="docutils literal notranslate"><span class="pre">DualSampler.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">DualSampler.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.hr_features"><code class="docutils literal notranslate"><span class="pre">DualSampler.hr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.hr_features_ind"><code class="docutils literal notranslate"><span class="pre">DualSampler.hr_features_ind</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.hr_out_features"><code class="docutils literal notranslate"><span class="pre">DualSampler.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.lr_only_features"><code class="docutils literal notranslate"><span class="pre">DualSampler.lr_only_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.post_init_log"><code class="docutils literal notranslate"><span class="pre">DualSampler.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.preflight"><code class="docutils literal notranslate"><span class="pre">DualSampler.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.sample_shape"><code class="docutils literal notranslate"><span class="pre">DualSampler.sample_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.shape"><code class="docutils literal notranslate"><span class="pre">DualSampler.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.wrap"><code class="docutils literal notranslate"><span class="pre">DualSampler.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-preprocessing-samplers-dual-dualsampler">
+<h1>sup3r.preprocessing.samplers.dual.DualSampler<a class="headerlink" href="#sup3r-preprocessing-samplers-dual-dualsampler" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dual.DualSampler">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">DualSampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><span class="pre">Sup3rDataset</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><span class="pre">tuple</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Dict" title="(in Python v3.13)"><span class="pre">Dict</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/samplers/dual.html#DualSampler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.samplers.dual.DualSampler" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler" title="sup3r.preprocessing.samplers.base.Sampler"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code></a></p>
+<p>Sampler for sampling from paired (or dual) datasets. Pairs consist of
+low and high resolution data, which are contained by a Sup3rDataset.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>data</strong> (<em>Sup3rDataset</em>) – A <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> instance with
+low-res and high-res data members</p></li>
+<li><p><strong>sample_shape</strong> (<em>tuple</em>) – Size of arrays to sample from the high-res data. The sample shape
+for the low-res sampler will be determined from the enhancement
+factors.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Spatial enhancement factor</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Temporal enhancement factor</p></li>
+<li><p><strong>feature_sets</strong> (<em>Optional[dict]</em>) – Optional dictionary describing how the full set of features is
+split between <cite>lr_only_features</cite> and <cite>hr_exo_features</cite>.</p>
+<dl class="simple">
+<dt>lr_only_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should only be
+included in the low-res training set and not the high-res
+observations.</p>
+</dd>
+<dt>hr_exo_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should be included
+in the high-resolution observation but not expected to be
+output from the generative model. An example is high-res
+topography that is to be injected mid-network.</p>
+</dd>
+</dl>
+</li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dual.DualSampler.check_for_consistent_shapes" title="sup3r.preprocessing.samplers.dual.DualSampler.check_for_consistent_shapes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_for_consistent_shapes</span></code></a>()</p></td>
+<td><p>Make sure container shapes are compatible with enhancement factors.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dual.DualSampler.get_features" title="sup3r.preprocessing.samplers.dual.DualSampler.get_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_features</span></code></a>(feature_sets)</p></td>
+<td><p>Return default set of features composed from data vars in low res and high res data objects or the value provided through the feature_sets dictionary.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dual.DualSampler.get_sample_index" title="sup3r.preprocessing.samplers.dual.DualSampler.get_sample_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_sample_index</span></code></a>([n_obs])</p></td>
+<td><p>Get paired sample index, consisting of index for the low res sample and the index for the high res sample with the same spatiotemporal extent.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dual.DualSampler.post_init_log" title="sup3r.preprocessing.samplers.dual.DualSampler.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dual.DualSampler.preflight" title="sup3r.preprocessing.samplers.dual.DualSampler.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Check if the sample_shape is larger than the requested raster size</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dual.DualSampler.wrap" title="sup3r.preprocessing.samplers.dual.DualSampler.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dual.DualSampler.data" title="sup3r.preprocessing.samplers.dual.DualSampler.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dual.DualSampler.hr_exo_features" title="sup3r.preprocessing.samplers.dual.DualSampler.hr_exo_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_exo_features</span></code></a></p></td>
+<td><p>Get a list of exogenous high-resolution features that are only used for training e.g., mid-network high-res topo injection.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dual.DualSampler.hr_features" title="sup3r.preprocessing.samplers.dual.DualSampler.hr_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_features</span></code></a></p></td>
+<td><p>Get the high-resolution features corresponding to <cite>hr_features_ind</cite></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dual.DualSampler.hr_features_ind" title="sup3r.preprocessing.samplers.dual.DualSampler.hr_features_ind"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_features_ind</span></code></a></p></td>
+<td><p>Get the high-resolution feature channel indices that should be included for training.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dual.DualSampler.hr_out_features" title="sup3r.preprocessing.samplers.dual.DualSampler.hr_out_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_out_features</span></code></a></p></td>
+<td><p>Get a list of high-resolution features that are intended to be output by the GAN.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dual.DualSampler.hr_sample_shape" title="sup3r.preprocessing.samplers.dual.DualSampler.hr_sample_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_sample_shape</span></code></a></p></td>
+<td><p>Shape of the data sample to select when <cite>__next__()</cite> is called.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dual.DualSampler.lr_only_features" title="sup3r.preprocessing.samplers.dual.DualSampler.lr_only_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_only_features</span></code></a></p></td>
+<td><p>List of feature names or patt*erns that should only be included in the low-res training set and not the high-res observations.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dual.DualSampler.sample_shape" title="sup3r.preprocessing.samplers.dual.DualSampler.sample_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_shape</span></code></a></p></td>
+<td><p>Shape of the data sample to select when <code class="docutils literal notranslate"><span class="pre">__next__()</span></code> is called.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.preprocessing.samplers.dual.DualSampler.shape" title="sup3r.preprocessing.samplers.dual.DualSampler.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dual.DualSampler.hr_sample_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_sample_shape</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a></em><a class="headerlink" href="#sup3r.preprocessing.samplers.dual.DualSampler.hr_sample_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of the data sample to select when <cite>__next__()</cite> is called. Same
+as sample_shape</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dual.DualSampler.get_features">
+<span class="sig-name descname"><span class="pre">get_features</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/samplers/dual.html#DualSampler.get_features"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.samplers.dual.DualSampler.get_features" title="Link to this definition">#</a></dt>
+<dd><p>Return default set of features composed from data vars in low res
+and high res data objects or the value provided through the
+feature_sets dictionary.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dual.DualSampler.check_for_consistent_shapes">
+<span class="sig-name descname"><span class="pre">check_for_consistent_shapes</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/samplers/dual.html#DualSampler.check_for_consistent_shapes"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.samplers.dual.DualSampler.check_for_consistent_shapes" title="Link to this definition">#</a></dt>
+<dd><p>Make sure container shapes are compatible with enhancement
+factors.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dual.DualSampler.get_sample_index">
+<span class="sig-name descname"><span class="pre">get_sample_index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_obs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/samplers/dual.html#DualSampler.get_sample_index"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.samplers.dual.DualSampler.get_sample_index" title="Link to this definition">#</a></dt>
+<dd><p>Get paired sample index, consisting of index for the low res sample
+and the index for the high res sample with the same spatiotemporal
+extent.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dual.DualSampler.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.dual.DualSampler.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.preprocessing.samplers.dual.DualSampler.wrap" title="sup3r.preprocessing.samplers.dual.DualSampler.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dual.DualSampler.hr_exo_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_exo_features</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.dual.DualSampler.hr_exo_features" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of exogenous high-resolution features that are only used
+for training e.g., mid-network high-res topo injection. These must come
+at the end of the high-res feature set. These can also be input to the
+model as low-res features.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dual.DualSampler.hr_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_features</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.dual.DualSampler.hr_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the high-resolution features corresponding to
+<cite>hr_features_ind</cite></p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dual.DualSampler.hr_features_ind">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_features_ind</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.dual.DualSampler.hr_features_ind" title="Link to this definition">#</a></dt>
+<dd><p>Get the high-resolution feature channel indices that should be
+included for training. Any high-resolution features that are only
+included in the data handler to be coarsened for the low-res input are
+removed</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dual.DualSampler.hr_out_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_out_features</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.dual.DualSampler.hr_out_features" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of high-resolution features that are intended to be
+output by the GAN. Does not include high-resolution exogenous
+features</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dual.DualSampler.lr_only_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_only_features</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.dual.DualSampler.lr_only_features" title="Link to this definition">#</a></dt>
+<dd><p>List of feature names or patt*erns that should only be included in
+the low-res training set and not the high-res observations.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dual.DualSampler.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.samplers.dual.DualSampler.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dual.DualSampler.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.samplers.dual.DualSampler.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Check if the sample_shape is larger than the requested raster
+size</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dual.DualSampler.sample_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">sample_shape</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a></em><a class="headerlink" href="#sup3r.preprocessing.samplers.dual.DualSampler.sample_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of the data sample to select when <code class="docutils literal notranslate"><span class="pre">__next__()</span></code> is called.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dual.DualSampler.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.preprocessing.samplers.dual.DualSampler.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.dual.DualSampler.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.preprocessing.samplers.dual.DualSampler.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler"><code class="docutils literal notranslate"><span class="pre">DualSampler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.hr_sample_shape"><code class="docutils literal notranslate"><span class="pre">DualSampler.hr_sample_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.get_features"><code class="docutils literal notranslate"><span class="pre">DualSampler.get_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.check_for_consistent_shapes"><code class="docutils literal notranslate"><span class="pre">DualSampler.check_for_consistent_shapes()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.get_sample_index"><code class="docutils literal notranslate"><span class="pre">DualSampler.get_sample_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.data"><code class="docutils literal notranslate"><span class="pre">DualSampler.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">DualSampler.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.hr_features"><code class="docutils literal notranslate"><span class="pre">DualSampler.hr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.hr_features_ind"><code class="docutils literal notranslate"><span class="pre">DualSampler.hr_features_ind</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.hr_out_features"><code class="docutils literal notranslate"><span class="pre">DualSampler.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.lr_only_features"><code class="docutils literal notranslate"><span class="pre">DualSampler.lr_only_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.post_init_log"><code class="docutils literal notranslate"><span class="pre">DualSampler.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.preflight"><code class="docutils literal notranslate"><span class="pre">DualSampler.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.sample_shape"><code class="docutils literal notranslate"><span class="pre">DualSampler.sample_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.shape"><code class="docutils literal notranslate"><span class="pre">DualSampler.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.dual.DualSampler.wrap"><code class="docutils literal notranslate"><span class="pre">DualSampler.wrap()</span></code></a></li>
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+  <section id="module-sup3r.preprocessing.samplers.dual">
+<span id="sup3r-preprocessing-samplers-dual"></span><h1>sup3r.preprocessing.samplers.dual<a class="headerlink" href="#module-sup3r.preprocessing.samplers.dual" title="Link to this heading">#</a></h1>
+<p>Dual Sampler objects. These are used to sample from paired datasets with
+low and high resolution data. These paired datasets are contained in a
+Sup3rDataset object.</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
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+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler" title="sup3r.preprocessing.samplers.dual.DualSampler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DualSampler</span></code></a>(data[, sample_shape, ...])</p></td>
+<td><p>Sampler for sampling from paired (or dual) datasets.</p></td>
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+  <section id="module-sup3r.preprocessing.samplers">
+<span id="sup3r-preprocessing-samplers"></span><h1>sup3r.preprocessing.samplers<a class="headerlink" href="#module-sup3r.preprocessing.samplers" title="Link to this heading">#</a></h1>
+<p>Container subclass with methods for sampling contained data.</p>
+<p>TODO: With lazy loading / delayed calculations we could coarsen data prior to
+sampling. This would allow us to use dual samplers for all cases, instead of
+just for special paired datasets. This would be a nice unification.</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.samplers.base.html#module-sup3r.preprocessing.samplers.base" title="sup3r.preprocessing.samplers.base"><code class="xref py py-obj docutils literal notranslate"><span class="pre">base</span></code></a></p></td>
+<td><p>Basic <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> objects.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.samplers.cc.html#module-sup3r.preprocessing.samplers.cc" title="sup3r.preprocessing.samplers.cc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cc</span></code></a></p></td>
+<td><p>Sampler for climate change applications.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.samplers.dc.html#module-sup3r.preprocessing.samplers.dc" title="sup3r.preprocessing.samplers.dc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dc</span></code></a></p></td>
+<td><p>Data centric sampler.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.samplers.dual.html#module-sup3r.preprocessing.samplers.dual" title="sup3r.preprocessing.samplers.dual"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dual</span></code></a></p></td>
+<td><p>Dual Sampler objects.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.samplers.utilities.html#module-sup3r.preprocessing.samplers.utilities" title="sup3r.preprocessing.samplers.utilities"><code class="xref py py-obj docutils literal notranslate"><span class="pre">utilities</span></code></a></p></td>
+<td><p>Miscellaneous utilities for sampling</p></td>
+</tr>
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+  <section id="sup3r-preprocessing-samplers-utilities-daily-time-sampler">
+<h1>sup3r.preprocessing.samplers.utilities.daily_time_sampler<a class="headerlink" href="#sup3r-preprocessing-samplers-utilities-daily-time-sampler" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.utilities.daily_time_sampler">
+<span class="sig-name descname"><span class="pre">daily_time_sampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_index</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/samplers/utilities.html#daily_time_sampler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.samplers.utilities.daily_time_sampler" title="Link to this definition">#</a></dt>
+<dd><p>Finds a random temporal slice from data starting at midnight</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – Data array with dimensions
+(spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>shape</strong> (<em>int</em>) – (time_steps) Size of time slice to sample from data, must be an integer
+less than or equal to 24.</p></li>
+<li><p><strong>time_index</strong> (<em>pd.DatetimeIndex</em>) – Time index that matches the data axis=2</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>slice</strong> (<em>slice</em>) – time slice with size shape of data starting at the beginning of the day</p>
+</dd>
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+  <section id="module-sup3r.preprocessing.samplers.utilities">
+<span id="sup3r-preprocessing-samplers-utilities"></span><h1>sup3r.preprocessing.samplers.utilities<a class="headerlink" href="#module-sup3r.preprocessing.samplers.utilities" title="Link to this heading">#</a></h1>
+<p>Miscellaneous utilities for sampling</p>
+<p class="rubric">Functions</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.samplers.utilities.daily_time_sampler.html#sup3r.preprocessing.samplers.utilities.daily_time_sampler" title="sup3r.preprocessing.samplers.utilities.daily_time_sampler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">daily_time_sampler</span></code></a>(data, shape, time_index)</p></td>
+<td><p>Finds a random temporal slice from data starting at midnight</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.samplers.utilities.nsrdb_reduce_daily_data.html#sup3r.preprocessing.samplers.utilities.nsrdb_reduce_daily_data" title="sup3r.preprocessing.samplers.utilities.nsrdb_reduce_daily_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nsrdb_reduce_daily_data</span></code></a>(data, shape[, csr_ind])</p></td>
+<td><p>Takes a 5D array and reduces the axis=3 temporal dim to daylight hours.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.samplers.utilities.nsrdb_sub_daily_sampler.html#sup3r.preprocessing.samplers.utilities.nsrdb_sub_daily_sampler" title="sup3r.preprocessing.samplers.utilities.nsrdb_sub_daily_sampler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nsrdb_sub_daily_sampler</span></code></a>(data, shape[, ...])</p></td>
+<td><p>Finds a random sample during daylight hours of a day.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.samplers.utilities.uniform_box_sampler.html#sup3r.preprocessing.samplers.utilities.uniform_box_sampler" title="sup3r.preprocessing.samplers.utilities.uniform_box_sampler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">uniform_box_sampler</span></code></a>(data_shape, sample_shape)</p></td>
+<td><p>Returns a 2D spatial slice used to extract a sample from a data array.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.samplers.utilities.uniform_time_sampler.html#sup3r.preprocessing.samplers.utilities.uniform_time_sampler" title="sup3r.preprocessing.samplers.utilities.uniform_time_sampler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">uniform_time_sampler</span></code></a>(data_shape, sample_shape)</p></td>
+<td><p>Returns temporal slice used to extract temporal chunk from data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.samplers.utilities.weighted_box_sampler.html#sup3r.preprocessing.samplers.utilities.weighted_box_sampler" title="sup3r.preprocessing.samplers.utilities.weighted_box_sampler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">weighted_box_sampler</span></code></a>(data_shape, ...)</p></td>
+<td><p>Extracts a temporal slice from data with selection weighted based on provided weights</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.samplers.utilities.weighted_time_sampler.html#sup3r.preprocessing.samplers.utilities.weighted_time_sampler" title="sup3r.preprocessing.samplers.utilities.weighted_time_sampler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">weighted_time_sampler</span></code></a>(data_shape, ...)</p></td>
+<td><p>Returns a temporal slice with selection weighted based on provided weights used to extract temporal chunk from data</p></td>
+</tr>
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+    <h1>sup3r.preprocessing.samplers.utilities.nsrdb_reduce_daily_data</h1>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.utilities.nsrdb_reduce_daily_data"><code class="docutils literal notranslate"><span class="pre">nsrdb_reduce_daily_data()</span></code></a></li>
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+  <section id="sup3r-preprocessing-samplers-utilities-nsrdb-reduce-daily-data">
+<h1>sup3r.preprocessing.samplers.utilities.nsrdb_reduce_daily_data<a class="headerlink" href="#sup3r-preprocessing-samplers-utilities-nsrdb-reduce-daily-data" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.utilities.nsrdb_reduce_daily_data">
+<span class="sig-name descname"><span class="pre">nsrdb_reduce_daily_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">csr_ind</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/samplers/utilities.html#nsrdb_reduce_daily_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.samplers.utilities.nsrdb_reduce_daily_data" title="Link to this definition">#</a></dt>
+<dd><p>Takes a 5D array and reduces the axis=3 temporal dim to daylight hours.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 5D data array, where […, csr_ind] is assumed to be clearsky ratio
+with NaN at night.
+(n_obs, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>shape</strong> (<em>int</em>) – (time_steps) Size of time slice to sample from data. If this is
+greater than data.shape[-2] data won’t be reduced.</p></li>
+<li><p><strong>csr_ind</strong> (<em>int</em>) – Index of the feature axis where clearsky ratio is located and NaN’s can
+be found at night.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>data</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – Same as input but with axis=3 reduced to dailylight hours with
+requested shape.</p>
+</dd>
+</dl>
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+  <section id="sup3r-preprocessing-samplers-utilities-nsrdb-sub-daily-sampler">
+<h1>sup3r.preprocessing.samplers.utilities.nsrdb_sub_daily_sampler<a class="headerlink" href="#sup3r-preprocessing-samplers-utilities-nsrdb-sub-daily-sampler" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.utilities.nsrdb_sub_daily_sampler">
+<span class="sig-name descname"><span class="pre">nsrdb_sub_daily_sampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_index</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/samplers/utilities.html#nsrdb_sub_daily_sampler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.samplers.utilities.nsrdb_sub_daily_sampler" title="Link to this definition">#</a></dt>
+<dd><p>Finds a random sample during daylight hours of a day. Nightime is
+assumed to be marked as NaN in feature axis == csr_ind in the data input.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union[Sup3rX, Sup3rDataset]</em>) – Dataset object with ‘clearsky_ratio’ accessible as
+data[‘clearsky_ratio’] (spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>shape</strong> (<em>int</em>) – (time_steps) Size of time slice to sample from data, must be an integer
+less than or equal to 24.</p></li>
+<li><p><strong>time_index</strong> (<em>pd.DatetimeIndex</em>) – Time index corresponding the the time axis of <cite>data</cite>. If None then
+data.time_index will be used.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>tslice</strong> (<em>slice</em>) – time slice with size shape of data starting at the beginning of the day</p>
+</dd>
+</dl>
+</dd></dl>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.utilities.uniform_box_sampler"><code class="docutils literal notranslate"><span class="pre">uniform_box_sampler()</span></code></a></li>
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+  <section id="sup3r-preprocessing-samplers-utilities-uniform-box-sampler">
+<h1>sup3r.preprocessing.samplers.utilities.uniform_box_sampler<a class="headerlink" href="#sup3r-preprocessing-samplers-utilities-uniform-box-sampler" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.utilities.uniform_box_sampler">
+<span class="sig-name descname"><span class="pre">uniform_box_sampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/samplers/utilities.html#uniform_box_sampler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.samplers.utilities.uniform_box_sampler" title="Link to this definition">#</a></dt>
+<dd><p>Returns a 2D spatial slice used to extract a sample from a data array.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_shape</strong> (<em>tuple</em>) – (rows, cols) Size of full grid available for sampling</p></li>
+<li><p><strong>sample_shape</strong> (<em>tuple</em>) – (rows, cols) Size of grid to sample from data</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>slices</strong> (<em>list</em>) – List of slices corresponding to row and col extent of arr sample</p>
+</dd>
+</dl>
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+  <section id="sup3r-preprocessing-samplers-utilities-uniform-time-sampler">
+<h1>sup3r.preprocessing.samplers.utilities.uniform_time_sampler<a class="headerlink" href="#sup3r-preprocessing-samplers-utilities-uniform-time-sampler" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.utilities.uniform_time_sampler">
+<span class="sig-name descname"><span class="pre">uniform_time_sampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">crop_slice</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">slice(None,</span> <span class="pre">None,</span> <span class="pre">None)</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/samplers/utilities.html#uniform_time_sampler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.samplers.utilities.uniform_time_sampler" title="Link to this definition">#</a></dt>
+<dd><p>Returns temporal slice used to extract temporal chunk from data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_shape</strong> (<em>tuple</em>) – (rows, cols, n_steps) Size of full spatiotemporal data grid available
+for sampling</p></li>
+<li><p><strong>sample_shape</strong> (<em>int</em>) – (time_steps) Size of time slice to sample from data grid</p></li>
+<li><p><strong>crop_slice</strong> (<em>slice</em>) – Optional slice used to restrict the sampling window.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>slice</strong> (<em>slice</em>) – time slice with size shape</p>
+</dd>
+</dl>
+</dd></dl>
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+    <h1>sup3r.preprocessing.samplers.utilities.weighted_box_sampler</h1>
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+<h1>sup3r.preprocessing.samplers.utilities.weighted_box_sampler<a class="headerlink" href="#sup3r-preprocessing-samplers-utilities-weighted-box-sampler" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.utilities.weighted_box_sampler">
+<span class="sig-name descname"><span class="pre">weighted_box_sampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/samplers/utilities.html#weighted_box_sampler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.samplers.utilities.weighted_box_sampler" title="Link to this definition">#</a></dt>
+<dd><p>Extracts a temporal slice from data with selection weighted based on
+provided weights</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_shape</strong> (<em>tuple</em>) – (rows, cols) Size of full spatial grid available for sampling</p></li>
+<li><p><strong>sample_shape</strong> (<em>tuple</em>) – (rows, cols) Size of grid to sample from data</p></li>
+<li><p><strong>weights</strong> (<em>ndarray</em>) – Array of weights used to specify selection strategy. e.g. If weights is
+[0.2, 0.4, 0.1, 0.3] then the upper left quadrant of the spatial
+domain will be sampled 20 percent of the time, the upper right quadrant
+will be sampled 40 percent of the time, etc.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>slices</strong> (<em>list</em>) – List of spatial slices [spatial_1, spatial_2]</p>
+</dd>
+</dl>
+</dd></dl>
+
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+    <h1>sup3r.preprocessing.samplers.utilities.weighted_time_sampler</h1>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.samplers.utilities.weighted_time_sampler"><code class="docutils literal notranslate"><span class="pre">weighted_time_sampler()</span></code></a></li>
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+  <section id="sup3r-preprocessing-samplers-utilities-weighted-time-sampler">
+<h1>sup3r.preprocessing.samplers.utilities.weighted_time_sampler<a class="headerlink" href="#sup3r-preprocessing-samplers-utilities-weighted-time-sampler" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.samplers.utilities.weighted_time_sampler">
+<span class="sig-name descname"><span class="pre">weighted_time_sampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/samplers/utilities.html#weighted_time_sampler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.samplers.utilities.weighted_time_sampler" title="Link to this definition">#</a></dt>
+<dd><p>Returns a temporal slice with selection weighted based on
+provided weights used to extract temporal chunk from data</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_shape</strong> (<em>tuple</em>) – (rows, cols, n_steps) Size of full spatiotemporal data grid available
+for sampling</p></li>
+<li><p><strong>shape</strong> (<em>tuple</em>) – (time_steps) Size of time slice to sample from data</p></li>
+<li><p><strong>weights</strong> (<em>list</em>) – List of weights used to specify selection strategy. e.g. If weights
+is [0.2, 0.8] then the start of the temporal slice will be selected
+from the first half of the temporal extent with 0.8 probability and
+0.2 probability for the second half.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>slice</strong> (<em>slice</em>) – time slice with size shape</p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
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+<h1>sup3r.preprocessing.utilities.check_signatures<a class="headerlink" href="#sup3r-preprocessing-utilities-check-signatures" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.utilities.check_signatures">
+<span class="sig-name descname"><span class="pre">check_signatures</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">objs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">skip_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/utilities.html#check_signatures"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.utilities.check_signatures" title="Link to this definition">#</a></dt>
+<dd><p>Make sure signatures of objects can be parsed for required arguments.</p>
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+    <h1>sup3r.preprocessing.utilities.composite_info</h1>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.utilities.composite_info"><code class="docutils literal notranslate"><span class="pre">composite_info()</span></code></a></li>
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+<h1>sup3r.preprocessing.utilities.composite_info<a class="headerlink" href="#sup3r-preprocessing-utilities-composite-info" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.utilities.composite_info">
+<span class="sig-name descname"><span class="pre">composite_info</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">objs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">skip_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/utilities.html#composite_info"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.utilities.composite_info" title="Link to this definition">#</a></dt>
+<dd><p>Get composite signature and doc string for given set of objects.</p>
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+<h1>sup3r.preprocessing.utilities.composite_sig<a class="headerlink" href="#sup3r-preprocessing-utilities-composite-sig" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.utilities.composite_sig">
+<span class="sig-name descname"><span class="pre">composite_sig</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">docs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">CommandDocumentation</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/utilities.html#composite_sig"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.utilities.composite_sig" title="Link to this definition">#</a></dt>
+<dd><p>Get composite signature from command documentation instance.</p>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.utilities.compute_if_dask"><code class="docutils literal notranslate"><span class="pre">compute_if_dask()</span></code></a></li>
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+  <section id="sup3r-preprocessing-utilities-compute-if-dask">
+<h1>sup3r.preprocessing.utilities.compute_if_dask<a class="headerlink" href="#sup3r-preprocessing-utilities-compute-if-dask" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.utilities.compute_if_dask">
+<span class="sig-name descname"><span class="pre">compute_if_dask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">arr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/utilities.html#compute_if_dask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.utilities.compute_if_dask" title="Link to this definition">#</a></dt>
+<dd><p>Apply compute method to input if it consists of a dask array or slice
+with dask elements.</p>
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+  <section id="sup3r-preprocessing-utilities-contains-ellipsis">
+<h1>sup3r.preprocessing.utilities.contains_ellipsis<a class="headerlink" href="#sup3r-preprocessing-utilities-contains-ellipsis" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.utilities.contains_ellipsis">
+<span class="sig-name descname"><span class="pre">contains_ellipsis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">vals</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/utilities.html#contains_ellipsis"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.utilities.contains_ellipsis" title="Link to this definition">#</a></dt>
+<dd><p>Check if vals contain an ellipse. This is used to correctly parse keys
+for <code class="docutils literal notranslate"><span class="pre">Sup3rX.__getitem__</span></code></p>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.utilities.dims_array_tuple"><code class="docutils literal notranslate"><span class="pre">dims_array_tuple()</span></code></a></li>
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+  <section id="sup3r-preprocessing-utilities-dims-array-tuple">
+<h1>sup3r.preprocessing.utilities.dims_array_tuple<a class="headerlink" href="#sup3r-preprocessing-utilities-dims-array-tuple" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.utilities.dims_array_tuple">
+<span class="sig-name descname"><span class="pre">dims_array_tuple</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">arr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/utilities.html#dims_array_tuple"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.utilities.dims_array_tuple" title="Link to this definition">#</a></dt>
+<dd><p>Return a tuple of (dims, array) with dims equal to the ordered slice
+of Dimension.order() with the same len as arr.shape. This is used to set
+xr.Dataset entries. e.g. dset[var] = (dims, array)</p>
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+    <h1>sup3r.preprocessing.utilities.expand_paths</h1>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.utilities.expand_paths"><code class="docutils literal notranslate"><span class="pre">expand_paths()</span></code></a></li>
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+  <section id="sup3r-preprocessing-utilities-expand-paths">
+<h1>sup3r.preprocessing.utilities.expand_paths<a class="headerlink" href="#sup3r-preprocessing-utilities-expand-paths" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.utilities.expand_paths">
+<span class="sig-name descname"><span class="pre">expand_paths</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fps</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/utilities.html#expand_paths"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.utilities.expand_paths" title="Link to this definition">#</a></dt>
+<dd><p>Expand path(s)</p>
+<section id="parameter">
+<h2>Parameter<a class="headerlink" href="#parameter" title="Link to this heading">#</a></h2>
+<dl class="simple">
+<dt>fps<span class="classifier">str or pathlib.Path or any Sequence of those</span></dt><dd><p>One or multiple paths to file</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>list[str]</em> – A list of expanded unique and sorted paths as str</p>
+</dd>
+</dl>
+<p class="rubric">Examples</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">expand_paths</span><span class="p">(</span><span class="s2">&quot;myfile.h5&quot;</span><span class="p">)</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">expand_paths</span><span class="p">([</span><span class="s2">&quot;myfile.h5&quot;</span><span class="p">,</span> <span class="s2">&quot;*.hdf&quot;</span><span class="p">])</span>
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+  <section id="sup3r-preprocessing-utilities-get-class-kwargs">
+<h1>sup3r.preprocessing.utilities.get_class_kwargs<a class="headerlink" href="#sup3r-preprocessing-utilities-get-class-kwargs" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.utilities.get_class_kwargs">
+<span class="sig-name descname"><span class="pre">get_class_kwargs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">obj</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/utilities.html#get_class_kwargs"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.utilities.get_class_kwargs" title="Link to this definition">#</a></dt>
+<dd><p>Get kwargs which match obj signature.</p>
+</dd></dl>
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+  <section id="sup3r-preprocessing-utilities-get-date-range-kwargs">
+<h1>sup3r.preprocessing.utilities.get_date_range_kwargs<a class="headerlink" href="#sup3r-preprocessing-utilities-get-date-range-kwargs" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.utilities.get_date_range_kwargs">
+<span class="sig-name descname"><span class="pre">get_date_range_kwargs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">time_index</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/utilities.html#get_date_range_kwargs"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.utilities.get_date_range_kwargs" title="Link to this definition">#</a></dt>
+<dd><p>Get kwargs for pd.date_range from a DatetimeIndex. This is used to
+provide a concise time_index representation which can be passed through
+the cli and avoid logging lengthly time indices.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>time_index</strong> (<em>pd.DatetimeIndex</em>) – Output time index.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>kwargs</strong> (<em>dict</em>) – Dictionary to pass to pd.date_range(). Can also include kwarg
+<code class="docutils literal notranslate"><span class="pre">drop_leap</span></code></p>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.utilities.get_input_handler_class"><code class="docutils literal notranslate"><span class="pre">get_input_handler_class()</span></code></a></li>
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+<h1>sup3r.preprocessing.utilities.get_input_handler_class<a class="headerlink" href="#sup3r-preprocessing-utilities-get-input-handler-class" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.utilities.get_input_handler_class">
+<span class="sig-name descname"><span class="pre">get_input_handler_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_handler_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/utilities.html#get_input_handler_class"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.utilities.get_input_handler_class" title="Link to this definition">#</a></dt>
+<dd><p>Get the <code class="xref py py-class docutils literal notranslate"><span class="pre">DataHandler</span></code> or
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code> object.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>input_handler_name</strong> (<em>str</em>) – Class to use for input data. Provide a string name to match a class in
+<cite>sup3r.preprocessing</cite>. If None this will return
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code>, which uses
+<cite>LoaderNC</cite> or <cite>LoaderH5</cite> depending on file type. This is a simple
+handler object which does not derive new features from raw data.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>HandlerClass</strong> (<em>Rasterizer | DataHandler</em>) – DataHandler or Rasterizer class from sup3r.preprocessing.</p>
+</dd>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.utilities.get_obj_params"><code class="docutils literal notranslate"><span class="pre">get_obj_params()</span></code></a></li>
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+  <section id="sup3r-preprocessing-utilities-get-obj-params">
+<h1>sup3r.preprocessing.utilities.get_obj_params<a class="headerlink" href="#sup3r-preprocessing-utilities-get-obj-params" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.utilities.get_obj_params">
+<span class="sig-name descname"><span class="pre">get_obj_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">obj</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/utilities.html#get_obj_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.utilities.get_obj_params" title="Link to this definition">#</a></dt>
+<dd><p>Get available signature parameters for obj and obj bases</p>
+</dd></dl>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.utilities.get_source_type"><code class="docutils literal notranslate"><span class="pre">get_source_type()</span></code></a></li>
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+<h1>sup3r.preprocessing.utilities.get_source_type<a class="headerlink" href="#sup3r-preprocessing-utilities-get-source-type" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.utilities.get_source_type">
+<span class="sig-name descname"><span class="pre">get_source_type</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_paths</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/utilities.html#get_source_type"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.utilities.get_source_type" title="Link to this definition">#</a></dt>
+<dd><p>Get data source type</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>file_paths</strong> (<em>list | str</em>) – One or more paths to data files, can include a unix-style pat*tern</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>source_type</strong> (<em>str</em>) – Either “h5” or “nc”</p>
+</dd>
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+    <h1>sup3r.preprocessing.utilities</h1>
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+  <section id="module-sup3r.preprocessing.utilities">
+<span id="sup3r-preprocessing-utilities"></span><h1>sup3r.preprocessing.utilities<a class="headerlink" href="#module-sup3r.preprocessing.utilities" title="Link to this heading">#</a></h1>
+<p>Methods used across container objects.</p>
+<p class="rubric">Functions</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.check_signatures.html#sup3r.preprocessing.utilities.check_signatures" title="sup3r.preprocessing.utilities.check_signatures"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_signatures</span></code></a>(objs[, skip_params])</p></td>
+<td><p>Make sure signatures of objects can be parsed for required arguments.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.composite_info.html#sup3r.preprocessing.utilities.composite_info" title="sup3r.preprocessing.utilities.composite_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">composite_info</span></code></a>(objs[, skip_params])</p></td>
+<td><p>Get composite signature and doc string for given set of objects.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.composite_sig.html#sup3r.preprocessing.utilities.composite_sig" title="sup3r.preprocessing.utilities.composite_sig"><code class="xref py py-obj docutils literal notranslate"><span class="pre">composite_sig</span></code></a>(docs)</p></td>
+<td><p>Get composite signature from command documentation instance.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.compute_if_dask.html#sup3r.preprocessing.utilities.compute_if_dask" title="sup3r.preprocessing.utilities.compute_if_dask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute_if_dask</span></code></a>(arr)</p></td>
+<td><p>Apply compute method to input if it consists of a dask array or slice with dask elements.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.contains_ellipsis.html#sup3r.preprocessing.utilities.contains_ellipsis" title="sup3r.preprocessing.utilities.contains_ellipsis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">contains_ellipsis</span></code></a>(vals)</p></td>
+<td><p>Check if vals contain an ellipse.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.dims_array_tuple.html#sup3r.preprocessing.utilities.dims_array_tuple" title="sup3r.preprocessing.utilities.dims_array_tuple"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dims_array_tuple</span></code></a>(arr)</p></td>
+<td><p>Return a tuple of (dims, array) with dims equal to the ordered slice of Dimension.order() with the same len as arr.shape.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.expand_paths.html#sup3r.preprocessing.utilities.expand_paths" title="sup3r.preprocessing.utilities.expand_paths"><code class="xref py py-obj docutils literal notranslate"><span class="pre">expand_paths</span></code></a>(fps)</p></td>
+<td><p>Expand path(s)</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.get_class_kwargs.html#sup3r.preprocessing.utilities.get_class_kwargs" title="sup3r.preprocessing.utilities.get_class_kwargs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_class_kwargs</span></code></a>(obj, kwargs)</p></td>
+<td><p>Get kwargs which match obj signature.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.get_date_range_kwargs.html#sup3r.preprocessing.utilities.get_date_range_kwargs" title="sup3r.preprocessing.utilities.get_date_range_kwargs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_date_range_kwargs</span></code></a>(time_index)</p></td>
+<td><p>Get kwargs for pd.date_range from a DatetimeIndex.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.get_input_handler_class.html#sup3r.preprocessing.utilities.get_input_handler_class" title="sup3r.preprocessing.utilities.get_input_handler_class"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_input_handler_class</span></code></a>([input_handler_name])</p></td>
+<td><p>Get the <code class="xref py py-class docutils literal notranslate"><span class="pre">DataHandler</span></code> or <code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code> object.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.get_obj_params.html#sup3r.preprocessing.utilities.get_obj_params" title="sup3r.preprocessing.utilities.get_obj_params"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_obj_params</span></code></a>(obj)</p></td>
+<td><p>Get available signature parameters for obj and obj bases</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.get_source_type.html#sup3r.preprocessing.utilities.get_source_type" title="sup3r.preprocessing.utilities.get_source_type"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_source_type</span></code></a>(file_paths)</p></td>
+<td><p>Get data source type</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.is_type_of.html#sup3r.preprocessing.utilities.is_type_of" title="sup3r.preprocessing.utilities.is_type_of"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_type_of</span></code></a>(vals, vtype)</p></td>
+<td><p>Check if vals is an instance of type or group of that type.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.log_args.html#sup3r.preprocessing.utilities.log_args" title="sup3r.preprocessing.utilities.log_args"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_args</span></code></a>(func)</p></td>
+<td><p>Decorator to log annotations and args.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.lower_names.html#sup3r.preprocessing.utilities.lower_names" title="sup3r.preprocessing.utilities.lower_names"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lower_names</span></code></a>(data)</p></td>
+<td><p>Set all fields / coords / dims to lower case.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.lowered.html#sup3r.preprocessing.utilities.lowered" title="sup3r.preprocessing.utilities.lowered"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lowered</span></code></a>(features)</p></td>
+<td><p>Return a lower case version of the given str or list of strings.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.make_time_index_from_kws.html#sup3r.preprocessing.utilities.make_time_index_from_kws" title="sup3r.preprocessing.utilities.make_time_index_from_kws"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_time_index_from_kws</span></code></a>(date_range_kwargs)</p></td>
+<td><p>Function to make a pandas DatetimeIndex from the <code class="docutils literal notranslate"><span class="pre">get_date_range_kwargs</span></code> outputs</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.numpy_if_tensor.html#sup3r.preprocessing.utilities.numpy_if_tensor" title="sup3r.preprocessing.utilities.numpy_if_tensor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">numpy_if_tensor</span></code></a>(arr)</p></td>
+<td><p>Cast array to numpy array if it is a tensor.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.ordered_array.html#sup3r.preprocessing.utilities.ordered_array" title="sup3r.preprocessing.utilities.ordered_array"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ordered_array</span></code></a>(data)</p></td>
+<td><p>Transpose arrays so they have a (space, time, ...) or (space, time, ..., feature) ordering.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.ordered_dims.html#sup3r.preprocessing.utilities.ordered_dims" title="sup3r.preprocessing.utilities.ordered_dims"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ordered_dims</span></code></a>(dims)</p></td>
+<td><p>Return the order of dims that follows the ordering of Dimension.order() for the common dim names.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.parse_ellipsis.html#sup3r.preprocessing.utilities.parse_ellipsis" title="sup3r.preprocessing.utilities.parse_ellipsis"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parse_ellipsis</span></code></a>(vals, dim_num)</p></td>
+<td><p>Replace ellipsis with N slices where N is dim_num - len(vals) + 1</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.parse_features.html#sup3r.preprocessing.utilities.parse_features" title="sup3r.preprocessing.utilities.parse_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parse_features</span></code></a>([features, data])</p></td>
+<td><p>Parse possible inputs for features (list, str, None, 'all').</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.parse_keys.html#sup3r.preprocessing.utilities.parse_keys" title="sup3r.preprocessing.utilities.parse_keys"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parse_keys</span></code></a>(keys[, default_coords, ...])</p></td>
+<td><p>Return set of features and slices for all dimensions contained in dataset that can be passed to isel and transposed to standard dimension order.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.preprocessing.utilities.parse_to_list.html#sup3r.preprocessing.utilities.parse_to_list" title="sup3r.preprocessing.utilities.parse_to_list"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parse_to_list</span></code></a>([features, data])</p></td>
+<td><p>Parse features and return as a list, even if features is a string.</p></td>
+</tr>
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+<h1>sup3r.preprocessing.utilities.is_type_of<a class="headerlink" href="#sup3r-preprocessing-utilities-is-type-of" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.utilities.is_type_of">
+<span class="sig-name descname"><span class="pre">is_type_of</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">vals</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtype</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/utilities.html#is_type_of"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.utilities.is_type_of" title="Link to this definition">#</a></dt>
+<dd><p>Check if vals is an instance of type or group of that type.</p>
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+<h1>sup3r.preprocessing.utilities.log_args<a class="headerlink" href="#sup3r-preprocessing-utilities-log-args" title="Link to this heading">#</a></h1>
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+<span class="sig-name descname"><span class="pre">log_args</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">func</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/utilities.html#log_args"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.utilities.log_args" title="Link to this definition">#</a></dt>
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+methods so we need to pass through the signature and docs</p>
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+  <section id="sup3r-preprocessing-utilities-lower-names">
+<h1>sup3r.preprocessing.utilities.lower_names<a class="headerlink" href="#sup3r-preprocessing-utilities-lower-names" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.utilities.lower_names">
+<span class="sig-name descname"><span class="pre">lower_names</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/utilities.html#lower_names"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.utilities.lower_names" title="Link to this definition">#</a></dt>
+<dd><p>Set all fields / coords / dims to lower case.</p>
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+<h1>sup3r.preprocessing.utilities.make_time_index_from_kws<a class="headerlink" href="#sup3r-preprocessing-utilities-make-time-index-from-kws" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.utilities.make_time_index_from_kws">
+<span class="sig-name descname"><span class="pre">make_time_index_from_kws</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">date_range_kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/utilities.html#make_time_index_from_kws"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.utilities.make_time_index_from_kws" title="Link to this definition">#</a></dt>
+<dd><p>Function to make a pandas DatetimeIndex from the
+<code class="docutils literal notranslate"><span class="pre">get_date_range_kwargs</span></code> outputs</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>date_range_kwargs</strong> (<em>dict</em>) – Dictionary to pass to pd.date_range(), typically produced from
+<code class="docutils literal notranslate"><span class="pre">get_date_range_kwargs()</span></code>. Can also include kwarg <code class="docutils literal notranslate"><span class="pre">drop_leap</span></code></p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>time_index</strong> (<em>pd.DatetimeIndex</em>) – Output time index.</p>
+</dd>
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+  <section id="sup3r-preprocessing-utilities-numpy-if-tensor">
+<h1>sup3r.preprocessing.utilities.numpy_if_tensor<a class="headerlink" href="#sup3r-preprocessing-utilities-numpy-if-tensor" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.utilities.numpy_if_tensor">
+<span class="sig-name descname"><span class="pre">numpy_if_tensor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">arr</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/utilities.html#numpy_if_tensor"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.utilities.numpy_if_tensor" title="Link to this definition">#</a></dt>
+<dd><p>Cast array to numpy array if it is a tensor.</p>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.utilities.ordered_array"><code class="docutils literal notranslate"><span class="pre">ordered_array()</span></code></a></li>
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+  <section id="sup3r-preprocessing-utilities-ordered-array">
+<h1>sup3r.preprocessing.utilities.ordered_array<a class="headerlink" href="#sup3r-preprocessing-utilities-ordered-array" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.utilities.ordered_array">
+<span class="sig-name descname"><span class="pre">ordered_array</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">DataArray</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/utilities.html#ordered_array"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.utilities.ordered_array" title="Link to this definition">#</a></dt>
+<dd><p>Transpose arrays so they have a (space, time, …) or (space, time,
+…, feature) ordering.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>data</strong> (<em>xr.DataArray</em>) – xr.DataArray with <cite>.dims</cite> attribute listing all contained dimensions</p>
+</dd>
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+  <section id="sup3r-preprocessing-utilities-ordered-dims">
+<h1>sup3r.preprocessing.utilities.ordered_dims<a class="headerlink" href="#sup3r-preprocessing-utilities-ordered-dims" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.utilities.ordered_dims">
+<span class="sig-name descname"><span class="pre">ordered_dims</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dims</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/utilities.html#ordered_dims"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.utilities.ordered_dims" title="Link to this definition">#</a></dt>
+<dd><p>Return the order of dims that follows the ordering of Dimension.order()
+for the common dim names. e.g dims = (‘time’, ‘south_north’, ‘dummy’,
+‘west_east’) will return (‘south_north’, ‘west_east’, ‘time’,
+‘dummy’).</p>
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+    <h1>sup3r.preprocessing.utilities.parse_ellipsis</h1>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.utilities.parse_ellipsis"><code class="docutils literal notranslate"><span class="pre">parse_ellipsis()</span></code></a></li>
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+  <section id="sup3r-preprocessing-utilities-parse-ellipsis">
+<h1>sup3r.preprocessing.utilities.parse_ellipsis<a class="headerlink" href="#sup3r-preprocessing-utilities-parse-ellipsis" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.utilities.parse_ellipsis">
+<span class="sig-name descname"><span class="pre">parse_ellipsis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">vals</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim_num</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/utilities.html#parse_ellipsis"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.utilities.parse_ellipsis" title="Link to this definition">#</a></dt>
+<dd><p>Replace ellipsis with N slices where N is dim_num - len(vals) + 1</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>vals</strong> (<em>list | tuple</em>) – Entries that will be used to index an array with dim_num dimensions.</p></li>
+<li><p><strong>dim_num</strong> (<em>int</em>) – Number of dimensions of array that will be indexed with given vals.</p></li>
+</ul>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.utilities.parse_features"><code class="docutils literal notranslate"><span class="pre">parse_features()</span></code></a></li>
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+  <section id="sup3r-preprocessing-utilities-parse-features">
+<h1>sup3r.preprocessing.utilities.parse_features<a class="headerlink" href="#sup3r-preprocessing-utilities-parse-features" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.utilities.parse_features">
+<span class="sig-name descname"><span class="pre">parse_features</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.13)"><span class="pre">list</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/utilities.html#parse_features"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.utilities.parse_features" title="Link to this definition">#</a></dt>
+<dd><p>Parse possible inputs for features (list, str, None, ‘all’). If ‘all’
+this returns all data_vars in data. If None this returns an empty list.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>Returns a string if input is a string and list otherwise. Need to manually
+get [features] if a list is required.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>features</strong> (<em>list | str | None</em>) – Feature request to parse.</p></li>
+<li><p><strong>data</strong> (<em>T_Dataset</em>) – Data containing available features</p></li>
+</ul>
+</dd>
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+  <section id="sup3r-preprocessing-utilities-parse-keys">
+<h1>sup3r.preprocessing.utilities.parse_keys<a class="headerlink" href="#sup3r-preprocessing-utilities-parse-keys" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.utilities.parse_keys">
+<span class="sig-name descname"><span class="pre">parse_keys</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">keys</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default_coords</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default_dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default_features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/utilities.html#parse_keys"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.utilities.parse_keys" title="Link to this definition">#</a></dt>
+<dd><p>Return set of features and slices for all dimensions contained in
+dataset that can be passed to isel and transposed to standard dimension
+order. If keys is empty then we just want to return the coordinate
+data, so features will be set to just the coordinate names.</p>
+</dd></dl>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.preprocessing.utilities.parse_to_list"><code class="docutils literal notranslate"><span class="pre">parse_to_list()</span></code></a></li>
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+<h1>sup3r.preprocessing.utilities.parse_to_list<a class="headerlink" href="#sup3r-preprocessing-utilities-parse-to-list" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.preprocessing.utilities.parse_to_list">
+<span class="sig-name descname"><span class="pre">parse_to_list</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/preprocessing/utilities.html#parse_to_list"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.preprocessing.utilities.parse_to_list" title="Link to this definition">#</a></dt>
+<dd><p>Parse features and return as a list, even if features is a string.</p>
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+    <h1>sup3r.qa.qa.Sup3rQa</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.qa.Sup3rQa"><code class="docutils literal notranslate"><span class="pre">Sup3rQa</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.qa.Sup3rQa.close"><code class="docutils literal notranslate"><span class="pre">Sup3rQa.close()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.qa.Sup3rQa.features"><code class="docutils literal notranslate"><span class="pre">Sup3rQa.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.qa.Sup3rQa.output_names"><code class="docutils literal notranslate"><span class="pre">Sup3rQa.output_names</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.qa.Sup3rQa.output_type"><code class="docutils literal notranslate"><span class="pre">Sup3rQa.output_type</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.qa.Sup3rQa.bias_correct_input_handler"><code class="docutils literal notranslate"><span class="pre">Sup3rQa.bias_correct_input_handler()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.qa.Sup3rQa.get_dset_out"><code class="docutils literal notranslate"><span class="pre">Sup3rQa.get_dset_out()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.qa.Sup3rQa.coarsen_data"><code class="docutils literal notranslate"><span class="pre">Sup3rQa.coarsen_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.qa.Sup3rQa.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">Sup3rQa.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.qa.Sup3rQa.export"><code class="docutils literal notranslate"><span class="pre">Sup3rQa.export()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.qa.Sup3rQa.run"><code class="docutils literal notranslate"><span class="pre">Sup3rQa.run()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-qa-qa-sup3rqa">
+<h1>sup3r.qa.qa.Sup3rQa<a class="headerlink" href="#sup3r-qa-qa-sup3rqa" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.qa.qa.Sup3rQa">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Sup3rQa</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">source_file_paths</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_file_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_coarsening_method</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_names</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_handler_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_handler_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">qa_fp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_correct_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bias_correct_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_sources</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/qa/qa.html#Sup3rQa"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.qa.qa.Sup3rQa" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<p>Class for doing QA on sup3r forward pass outputs.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This only works if the sup3r forward pass output can be reshaped into a 2D
+raster dataset (e.g. no sparsifying of the meta data).</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>source_file_paths</strong> (<em>list | str</em>) – A list of low-resolution source files to extract raster data from.
+Each file must have the same number of timesteps. Can also pass a
+string with a unix-style file path which will be passed through
+glob.glob</p></li>
+<li><p><strong>out_file_path</strong> (<em>str</em>) – A single sup3r-resolved output file (either .nc or .h5) with
+high-resolution data corresponding to the
+source_file_paths * s_enhance * t_enhance</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Factor by which the Sup3rGan model will enhance the spatial
+dimensions of low resolution data</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Factor by which the Sup3rGan model will enhance temporal dimension
+of low resolution data</p></li>
+<li><p><strong>temporal_coarsening_method</strong> (<em>str | list</em>) – [subsample, average, total, min, max]
+Subsample will take every t_enhance-th time step, average will
+average over t_enhance time steps, total will sum over t_enhance
+time steps. This can also be a list of method names corresponding
+to the list of features.</p></li>
+<li><p><strong>features</strong> (<em>str | list | None</em>) – Explicit list of features to validate. Can be a single feature str,
+list of string feature names, or None for all features found in the
+out_file_path.</p></li>
+<li><p><strong>output_names</strong> (<em>str | list</em>) – Optional output file dataset names corresponding to the features
+list input</p></li>
+<li><p><strong>input_handler_name</strong> (<em>str | None</em>) – data handler class to use for input data. Provide a string name to
+match a class in sup3r.preprocessing.data_handlers. If None the
+correct handler will be guessed based on file type.</p></li>
+<li><p><strong>input_handler_kwargs</strong> (<em>dict</em>) – Keyword arguments for <cite>input_handler</cite>. See <code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code>
+class for argument details.</p></li>
+<li><p><strong>qa_fp</strong> (<em>str | None</em>) – Optional filepath to output QA file when you call Sup3rQa.run()
+(only .h5 is supported)</p></li>
+<li><p><strong>bias_correct_method</strong> (<em>str | None</em>) – Optional bias correction function name that can be imported from
+the sup3r.bias.bias_transforms module. This will transform the
+source data according to some predefined bias correction
+transformation along with the bias_correct_kwargs. As the first
+argument, this method must receive a generic numpy array of data to
+be bias corrected</p></li>
+<li><p><strong>bias_correct_kwargs</strong> (<em>dict | None</em>) – Optional namespace of kwargs to provide to bias_correct_method.
+If this is provided, it must be a dictionary where each key is a
+feature name and each value is a dictionary of kwargs to correct
+that feature. You can bias correct only certain input features by
+only including those feature names in this dict.</p></li>
+<li><p><strong>save_sources</strong> (<em>bool</em>) – Flag to save re-coarsened synthetic data and true low-res data to
+qa_fp in addition to the error dataset</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.qa.qa.Sup3rQa.bias_correct_input_handler" title="sup3r.qa.qa.Sup3rQa.bias_correct_input_handler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bias_correct_input_handler</span></code></a>(input_handler)</p></td>
+<td><p>Apply bias correction to all source features which have bias correction data and return <code class="xref py py-class docutils literal notranslate"><span class="pre">Deriver</span></code> instance to use for derivations of features to match output features.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.qa.qa.Sup3rQa.close" title="sup3r.qa.qa.Sup3rQa.close"><code class="xref py py-obj docutils literal notranslate"><span class="pre">close</span></code></a>()</p></td>
+<td><p>Close any open file handlers</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.qa.qa.Sup3rQa.coarsen_data" title="sup3r.qa.qa.Sup3rQa.coarsen_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">coarsen_data</span></code></a>(idf, feature, data)</p></td>
+<td><p>Re-coarsen a high-resolution synthetic output dataset</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.qa.qa.Sup3rQa.export" title="sup3r.qa.qa.Sup3rQa.export"><code class="xref py py-obj docutils literal notranslate"><span class="pre">export</span></code></a>(qa_fp, data, dset_name[, dset_suffix])</p></td>
+<td><p>Export error dictionary to h5 file.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.qa.qa.Sup3rQa.get_dset_out" title="sup3r.qa.qa.Sup3rQa.get_dset_out"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_dset_out</span></code></a>(name)</p></td>
+<td><p>Get an output dataset from the forward pass output file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.qa.qa.Sup3rQa.get_node_cmd" title="sup3r.qa.qa.Sup3rQa.get_node_cmd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_node_cmd</span></code></a>(config)</p></td>
+<td><p>Get a CLI call to initialize Sup3rQa and execute the Sup3rQa.run() method based on an input config</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.qa.qa.Sup3rQa.run" title="sup3r.qa.qa.Sup3rQa.run"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run</span></code></a>()</p></td>
+<td><p>Go through all datasets and get the error for the re-coarsened synthetic minus the true low-res source data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.qa.qa.Sup3rQa.features" title="sup3r.qa.qa.Sup3rQa.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get a list of feature names from the output file, excluding meta and time index datasets</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.qa.qa.Sup3rQa.output_names" title="sup3r.qa.qa.Sup3rQa.output_names"><code class="xref py py-obj docutils literal notranslate"><span class="pre">output_names</span></code></a></p></td>
+<td><p>Get a list of output dataset names corresponding to the features list</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.qa.qa.Sup3rQa.output_type" title="sup3r.qa.qa.Sup3rQa.output_type"><code class="xref py py-obj docutils literal notranslate"><span class="pre">output_type</span></code></a></p></td>
+<td><p>Get output data type</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.qa.qa.Sup3rQa.close">
+<span class="sig-name descname"><span class="pre">close</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/qa/qa.html#Sup3rQa.close"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.qa.qa.Sup3rQa.close" title="Link to this definition">#</a></dt>
+<dd><p>Close any open file handlers</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.qa.qa.Sup3rQa.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.qa.qa.Sup3rQa.features" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of feature names from the output file, excluding meta and
+time index datasets</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>list</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.qa.qa.Sup3rQa.output_names">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_names</span></span><a class="headerlink" href="#sup3r.qa.qa.Sup3rQa.output_names" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of output dataset names corresponding to the features
+list</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.qa.qa.Sup3rQa.output_type">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">output_type</span></span><a class="headerlink" href="#sup3r.qa.qa.Sup3rQa.output_type" title="Link to this definition">#</a></dt>
+<dd><p>Get output data type</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>output_type</em> – e.g. ‘nc’ or ‘h5’</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.qa.qa.Sup3rQa.bias_correct_input_handler">
+<span class="sig-name descname"><span class="pre">bias_correct_input_handler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_handler</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/qa/qa.html#Sup3rQa.bias_correct_input_handler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.qa.qa.Sup3rQa.bias_correct_input_handler" title="Link to this definition">#</a></dt>
+<dd><p>Apply bias correction to all source features which have bias
+correction data and return <code class="xref py py-class docutils literal notranslate"><span class="pre">Deriver</span></code> instance to use for
+derivations of features to match output features.</p>
+<p>(1) Check if we need to derive any features included in the
+bias_correct_kwargs.
+(2) Derive these features using the input_handler.derive method, and
+update the stored data.
+(3) Apply bias correction to all the features in the
+bias_correct_kwargs
+(4) Derive the features required for validation from the bias corrected
+data and update the stored data
+(5) Return the updated input_handler, now a <code class="xref py py-class docutils literal notranslate"><span class="pre">Deriver</span></code> object.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.qa.qa.Sup3rQa.get_dset_out">
+<span class="sig-name descname"><span class="pre">get_dset_out</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/qa/qa.html#Sup3rQa.get_dset_out"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.qa.qa.Sup3rQa.get_dset_out" title="Link to this definition">#</a></dt>
+<dd><p>Get an output dataset from the forward pass output file.</p>
+<p>TODO: Make this dim order agnostic. If we didnt have the h5 condition
+we could just do transpose(‘south_north’, ‘west_east’, ‘time’)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>name</strong> (<em>str</em>) – Name of the output dataset to retrieve. Must be found in the
+features property and the forward pass output file.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>np.ndarray</em>) – A copy of the high-resolution output data as a numpy
+array of shape (spatial_1, spatial_2, temporal)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.qa.qa.Sup3rQa.coarsen_data">
+<span class="sig-name descname"><span class="pre">coarsen_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">idf</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/qa/qa.html#Sup3rQa.coarsen_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.qa.qa.Sup3rQa.coarsen_data" title="Link to this definition">#</a></dt>
+<dd><p>Re-coarsen a high-resolution synthetic output dataset</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>idf</strong> (<em>int</em>) – Feature index</p></li>
+<li><p><strong>feature</strong> (<em>str</em>) – Feature name</p></li>
+<li><p><strong>data</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – A copy of the high-resolution output data as a numpy
+array of shape (spatial_1, spatial_2, temporal)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>data</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – A spatiotemporally coarsened copy of the input dataset, still with
+shape (spatial_1, spatial_2, temporal)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.qa.qa.Sup3rQa.get_node_cmd">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_node_cmd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/qa/qa.html#Sup3rQa.get_node_cmd"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.qa.qa.Sup3rQa.get_node_cmd" title="Link to this definition">#</a></dt>
+<dd><p>Get a CLI call to initialize Sup3rQa and execute the Sup3rQa.run()
+method based on an input config</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>config</strong> (<em>dict</em>) – sup3r QA config with all necessary args and kwargs to
+initialize Sup3rQa and execute Sup3rQa.run()</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.qa.qa.Sup3rQa.export">
+<span class="sig-name descname"><span class="pre">export</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">qa_fp</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dset_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dset_suffix</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/qa/qa.html#Sup3rQa.export"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.qa.qa.Sup3rQa.export" title="Link to this definition">#</a></dt>
+<dd><p>Export error dictionary to h5 file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>qa_fp</strong> (<em>str | None</em>) – Optional filepath to output QA file (only .h5 is supported)</p></li>
+<li><p><strong>data</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – An array with shape (space1, space2, time) that represents the
+re-coarsened synthetic data minus the source true low-res data, or
+another dataset of the same shape to be written to disk</p></li>
+<li><p><strong>dset_name</strong> (<em>str</em>) – Base dataset name to save data to</p></li>
+<li><p><strong>dset_suffix</strong> (<em>str</em>) – Optional suffix to append to dset_name with an underscore before
+saving.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.qa.qa.Sup3rQa.run">
+<span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/qa/qa.html#Sup3rQa.run"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.qa.qa.Sup3rQa.run" title="Link to this definition">#</a></dt>
+<dd><p>Go through all datasets and get the error for the re-coarsened
+synthetic minus the true low-res source data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>errors</strong> (<em>dict</em>) – Dictionary of errors, where keys are the feature names, and each
+value is an array with shape (space1, space2, time) that represents
+the re-coarsened synthetic data minus the source true low-res data</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.qa.Sup3rQa"><code class="docutils literal notranslate"><span class="pre">Sup3rQa</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.qa.Sup3rQa.close"><code class="docutils literal notranslate"><span class="pre">Sup3rQa.close()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.qa.Sup3rQa.features"><code class="docutils literal notranslate"><span class="pre">Sup3rQa.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.qa.Sup3rQa.output_names"><code class="docutils literal notranslate"><span class="pre">Sup3rQa.output_names</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.qa.Sup3rQa.output_type"><code class="docutils literal notranslate"><span class="pre">Sup3rQa.output_type</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.qa.Sup3rQa.bias_correct_input_handler"><code class="docutils literal notranslate"><span class="pre">Sup3rQa.bias_correct_input_handler()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.qa.Sup3rQa.get_dset_out"><code class="docutils literal notranslate"><span class="pre">Sup3rQa.get_dset_out()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.qa.Sup3rQa.coarsen_data"><code class="docutils literal notranslate"><span class="pre">Sup3rQa.coarsen_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.qa.Sup3rQa.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">Sup3rQa.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.qa.Sup3rQa.export"><code class="docutils literal notranslate"><span class="pre">Sup3rQa.export()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.qa.Sup3rQa.run"><code class="docutils literal notranslate"><span class="pre">Sup3rQa.run()</span></code></a></li>
+</ul>
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+  <section id="module-sup3r.qa.qa">
+<span id="sup3r-qa-qa"></span><h1>sup3r.qa.qa<a class="headerlink" href="#module-sup3r.qa.qa" title="Link to this heading">#</a></h1>
+<p>sup3r QA module.</p>
+<p>TODO: Good initial refactor but can do more cleaning here. Should use Loaders
+and Sup3rX.unflatten() method (for H5) to make things more agnostic to dim
+ordering.</p>
+<p class="rubric">Classes</p>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.utilities.continuous_dist"><code class="docutils literal notranslate"><span class="pre">continuous_dist()</span></code></a></li>
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+  <section id="sup3r-qa-utilities-continuous-dist">
+<h1>sup3r.qa.utilities.continuous_dist<a class="headerlink" href="#sup3r-qa-utilities-continuous-dist" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.qa.utilities.continuous_dist">
+<span class="sig-name descname"><span class="pre">continuous_dist</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">diffs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bins</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">range</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/qa/utilities.html#continuous_dist"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.qa.utilities.continuous_dist" title="Link to this definition">#</a></dt>
+<dd><p>Get interpolated distribution from histogram</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>diffs</strong> (<em>ndarray</em>) – Array of values to use to construct distribution</p></li>
+<li><p><strong>bins</strong> (<em>int</em>) – Number of bins for the distribution. If None then the number of bins
+will be determined from the value range and the smallest difference
+between values</p></li>
+<li><p><strong>range</strong> (<em>tuple | None</em>) – Optional min/max range for the distribution.</p></li>
+<li><p><strong>interpolate</strong> (<em>bool</em>) – Whether to interpolate over histogram counts. e.g. if a bin has
+count = 0 and surrounding bins have count &gt; 0 the bin with count = 0
+will have an interpolated value.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><em>ndarray</em> – distribution value counts</p></li>
+<li><p><em>ndarray</em> – distribution values at bin centers</p></li>
+</ul>
+</p>
+</dd>
+</dl>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.utilities.continuous_dist"><code class="docutils literal notranslate"><span class="pre">continuous_dist()</span></code></a></li>
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+    <h1>sup3r.qa.utilities.direct_dist</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.utilities.direct_dist"><code class="docutils literal notranslate"><span class="pre">direct_dist()</span></code></a></li>
+</ul>
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+        </div>
+    </div>
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+
+              
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+                  
+  <section id="sup3r-qa-utilities-direct-dist">
+<h1>sup3r.qa.utilities.direct_dist<a class="headerlink" href="#sup3r-qa-utilities-direct-dist" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.qa.utilities.direct_dist">
+<span class="sig-name descname"><span class="pre">direct_dist</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">var</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bins</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">40</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">range</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diff_max</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">percentile</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">99.9</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">period</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/qa/utilities.html#direct_dist"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.qa.utilities.direct_dist" title="Link to this definition">#</a></dt>
+<dd><p>Returns the direct distribution for the given variable.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>var</strong> (<em>ndarray</em>) – (lat, lon, temporal)</p></li>
+<li><p><strong>bins</strong> (<em>int</em>) – Number of bins for the direct pdf.</p></li>
+<li><p><strong>range</strong> (<em>tuple | None</em>) – Optional min/max range for the direct pdf.</p></li>
+<li><p><strong>diff_max</strong> (<em>float</em>) – Max value to keep for given variable</p></li>
+<li><p><strong>scale</strong> (<em>int</em>) – Factor to scale the distribution by. This is used so that distributions
+from data with different resolutions can be compared. For instance, if
+this is calculating a vorticity distribution from data with a spatial
+resolution of 4km then the distribution needs to be scaled by 4km to
+compare to another scaled vorticity distribution with a different
+resolution.</p></li>
+<li><p><strong>percentile</strong> (<em>float</em>) – Percentile to use to determine the maximum allowable value in the
+distribution. e.g. percentile=99 eliminates values above the 99th
+percentile from the histogram.</p></li>
+<li><p><strong>interpolate</strong> (<em>bool</em>) – Whether to interpolate over histogram counts. e.g. if a bin has
+count = 0 and surrounding bins have count &gt; 0 the bin with count = 0
+will have an interpolated value.</p></li>
+<li><p><strong>period</strong> (<em>float | None</em>) – If variable is periodic this gives that period. e.g. If the variable
+is winddirection the period is 360 degrees and we need to account for
+0 and 360 being close.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><em>ndarray</em> – var at bin centers</p></li>
+<li><p><em>ndarray</em> – var value counts</p></li>
+<li><p><em>float</em> – Normalization factor</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
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+    <h1>sup3r.qa.utilities.frequency_spectrum</h1>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.utilities.frequency_spectrum"><code class="docutils literal notranslate"><span class="pre">frequency_spectrum()</span></code></a></li>
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+  <section id="sup3r-qa-utilities-frequency-spectrum">
+<h1>sup3r.qa.utilities.frequency_spectrum<a class="headerlink" href="#sup3r-qa-utilities-frequency-spectrum" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.qa.utilities.frequency_spectrum">
+<span class="sig-name descname"><span class="pre">frequency_spectrum</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">var</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_range</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/qa/utilities.html#frequency_spectrum"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.qa.utilities.frequency_spectrum" title="Link to this definition">#</a></dt>
+<dd><p>Frequency Spectrum. Gives the portion of the variable
+associated with each frequency.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>var</strong> (<em>ndarray</em>) – (lat, lon, temporal)</p></li>
+<li><p><strong>f_range</strong> (<em>list | None</em>) – List with min and max frequency. When comparing spectra for different
+domains this needs to be tailored to the specific domain.  e.g. f =
+[1/max_time, …, 1/min_time] If this is not specified f with be
+set to [0, …, len(y)] where y is the fft output.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><em>ndarray</em> – Array of frequencies corresponding to energy amplitudes</p></li>
+<li><p><em>ndarray</em> – 1D array of amplitudes corresponding to the portion of the variable
+with a given frequency</p></li>
+</ul>
+</p>
+</dd>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.utilities.gradient_dist"><code class="docutils literal notranslate"><span class="pre">gradient_dist()</span></code></a></li>
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+  <section id="sup3r-qa-utilities-gradient-dist">
+<h1>sup3r.qa.utilities.gradient_dist<a class="headerlink" href="#sup3r-qa-utilities-gradient-dist" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.qa.utilities.gradient_dist">
+<span class="sig-name descname"><span class="pre">gradient_dist</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">var</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bins</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">40</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">range</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diff_max</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">percentile</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">99.9</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">period</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/qa/utilities.html#gradient_dist"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.qa.utilities.gradient_dist" title="Link to this definition">#</a></dt>
+<dd><p>Returns the gradient distribution for the given variable.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>var</strong> (<em>ndarray</em>) – (lat, lon, temporal)</p></li>
+<li><p><strong>bins</strong> (<em>int</em>) – Number of bins for the gradient pdf.</p></li>
+<li><p><strong>range</strong> (<em>tuple | None</em>) – Optional min/max range for the gradient pdf.</p></li>
+<li><p><strong>diff_max</strong> (<em>float</em>) – Max value to keep for gradient</p></li>
+<li><p><strong>scale</strong> (<em>int</em>) – Factor to scale the distribution by. This is used so that distributions
+from data with different resolutions can be compared. For instance, if
+this is calculating a velocity gradient distribution from data with a
+spatial resolution of 4km then the distribution needs to be scaled by
+4km to compare to another scaled velocity gradient distribution with a
+different resolution.</p></li>
+<li><p><strong>percentile</strong> (<em>float</em>) – Percentile to use to determine the maximum allowable value in the
+distribution. e.g. percentile=99 eliminates values above the 99th
+percentile from the histogram.</p></li>
+<li><p><strong>interpolate</strong> (<em>bool</em>) – Whether to interpolate over histogram counts. e.g. if a bin has
+count = 0 and surrounding bins have count &gt; 0 the bin with count = 0
+will have an interpolated value.</p></li>
+<li><p><strong>period</strong> (<em>float | None</em>) – If variable is periodic this gives that period. e.g. If the variable
+is winddirection the period is 360 degrees and we need to account for
+0 and 360 being close.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><em>ndarray</em> – d(var) / dx at bin centers</p></li>
+<li><p><em>ndarray</em> – d(var) / dx value counts</p></li>
+<li><p><em>float</em> – Normalization factor</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
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+  <section id="module-sup3r.qa.utilities">
+<span id="sup3r-qa-utilities"></span><h1>sup3r.qa.utilities<a class="headerlink" href="#module-sup3r.qa.utilities" title="Link to this heading">#</a></h1>
+<p>Utilities used for QA</p>
+<p class="rubric">Functions</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.qa.utilities.continuous_dist.html#sup3r.qa.utilities.continuous_dist" title="sup3r.qa.utilities.continuous_dist"><code class="xref py py-obj docutils literal notranslate"><span class="pre">continuous_dist</span></code></a>(diffs[, bins, range, ...])</p></td>
+<td><p>Get interpolated distribution from histogram</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.qa.utilities.direct_dist.html#sup3r.qa.utilities.direct_dist" title="sup3r.qa.utilities.direct_dist"><code class="xref py py-obj docutils literal notranslate"><span class="pre">direct_dist</span></code></a>(var[, bins, range, diff_max, ...])</p></td>
+<td><p>Returns the direct distribution for the given variable.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.qa.utilities.frequency_spectrum.html#sup3r.qa.utilities.frequency_spectrum" title="sup3r.qa.utilities.frequency_spectrum"><code class="xref py py-obj docutils literal notranslate"><span class="pre">frequency_spectrum</span></code></a>(var[, f_range])</p></td>
+<td><p>Frequency Spectrum.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.qa.utilities.gradient_dist.html#sup3r.qa.utilities.gradient_dist" title="sup3r.qa.utilities.gradient_dist"><code class="xref py py-obj docutils literal notranslate"><span class="pre">gradient_dist</span></code></a>(var[, bins, range, diff_max, ...])</p></td>
+<td><p>Returns the gradient distribution for the given variable.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.qa.utilities.time_derivative_dist.html#sup3r.qa.utilities.time_derivative_dist" title="sup3r.qa.utilities.time_derivative_dist"><code class="xref py py-obj docutils literal notranslate"><span class="pre">time_derivative_dist</span></code></a>(var[, bins, range, ...])</p></td>
+<td><p>Returns the time derivative distribution for the given variable.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.qa.utilities.tke_frequency_spectrum.html#sup3r.qa.utilities.tke_frequency_spectrum" title="sup3r.qa.utilities.tke_frequency_spectrum"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tke_frequency_spectrum</span></code></a>(u, v[, f_range])</p></td>
+<td><p>Kinetic Energy Spectrum.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.qa.utilities.tke_wavenumber_spectrum.html#sup3r.qa.utilities.tke_wavenumber_spectrum" title="sup3r.qa.utilities.tke_wavenumber_spectrum"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tke_wavenumber_spectrum</span></code></a>(u, v[, x_range, axis])</p></td>
+<td><p>Turbulent Kinetic Energy Spectrum.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.qa.utilities.wavenumber_spectrum.html#sup3r.qa.utilities.wavenumber_spectrum" title="sup3r.qa.utilities.wavenumber_spectrum"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wavenumber_spectrum</span></code></a>(var[, x_range, axis])</p></td>
+<td><p>Wavenumber Spectrum.</p></td>
+</tr>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.utilities.time_derivative_dist"><code class="docutils literal notranslate"><span class="pre">time_derivative_dist()</span></code></a></li>
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+  <section id="sup3r-qa-utilities-time-derivative-dist">
+<h1>sup3r.qa.utilities.time_derivative_dist<a class="headerlink" href="#sup3r-qa-utilities-time-derivative-dist" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.qa.utilities.time_derivative_dist">
+<span class="sig-name descname"><span class="pre">time_derivative_dist</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">var</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bins</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">40</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">range</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diff_max</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">percentile</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">99.9</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">period</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/qa/utilities.html#time_derivative_dist"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.qa.utilities.time_derivative_dist" title="Link to this definition">#</a></dt>
+<dd><p>Returns the time derivative distribution for the given variable.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>var</strong> (<em>ndarray</em>) – (lat, lon, temporal)</p></li>
+<li><p><strong>bins</strong> (<em>int</em>) – Number of bins for the time derivative pdf.</p></li>
+<li><p><strong>range</strong> (<em>tuple | None</em>) – Optional min/max range for the time derivative pdf.</p></li>
+<li><p><strong>diff_max</strong> (<em>float</em>) – Max value to keep for time derivative</p></li>
+<li><p><strong>t_steps</strong> (<em>int</em>) – Number of time steps to use for differences. e.g. If t_steps=1 this
+uses var[i + 1] - [i] to compute time derivatives.</p></li>
+<li><p><strong>scale</strong> (<em>int</em>) – Factor to scale the distribution by. This is used so that distributions
+from data with different resolutions can be compared. For instance, if
+this is calculating a time derivative distribution from data with a
+temporal resolution of 15min then the distribution needs to be scaled
+by 15min to compare to another scaled time derivative distribution with
+a different resolution</p></li>
+<li><p><strong>percentile</strong> (<em>float</em>) – Percentile to use to determine the maximum allowable value in the
+distribution. e.g. percentile=99 eliminates values above the 99th
+percentile from the histogram.</p></li>
+<li><p><strong>interpolate</strong> (<em>bool</em>) – Whether to interpolate over histogram counts. e.g. if a bin has
+count = 0 and surrounding bins have count &gt; 0 the bin with count = 0
+will have an interpolated value.</p></li>
+<li><p><strong>period</strong> (<em>float | None</em>) – If variable is periodic this gives that period. e.g. If the variable
+is winddirection the period is 360 degrees and we need to account for
+0 and 360 being close.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><em>ndarray</em> – d(var) / dt values at bin centers</p></li>
+<li><p><em>ndarray</em> – d(var) / dt value counts</p></li>
+<li><p><em>float</em> – Normalization factor</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
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+  <section id="sup3r-qa-utilities-tke-frequency-spectrum">
+<h1>sup3r.qa.utilities.tke_frequency_spectrum<a class="headerlink" href="#sup3r-qa-utilities-tke-frequency-spectrum" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.qa.utilities.tke_frequency_spectrum">
+<span class="sig-name descname"><span class="pre">tke_frequency_spectrum</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">u</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">v</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_range</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/qa/utilities.html#tke_frequency_spectrum"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.qa.utilities.tke_frequency_spectrum" title="Link to this definition">#</a></dt>
+<dd><p>Kinetic Energy Spectrum. Gives the portion of kinetic energy
+associated with each frequency.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>u</strong> (<em>ndarray</em>) – (lat, lon)
+U component of wind</p></li>
+<li><p><strong>v</strong> (<em>ndarray</em>) – (lat, lon)
+V component of wind</p></li>
+<li><p><strong>f_range</strong> (<em>list | None</em>) – List with min and max frequency. When comparing spectra for different
+domains this needs to be tailored to the specific domain.  e.g. f =
+[1/max_time, …, 1/min_time] If this is not specified f with be
+set to [0, …, len(y)] where y is the fft output.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>ndarray</em> – 1D array of amplitudes corresponding to the portion of total energy
+with a given frequency</p>
+</dd>
+</dl>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.utilities.tke_wavenumber_spectrum"><code class="docutils literal notranslate"><span class="pre">tke_wavenumber_spectrum()</span></code></a></li>
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+  <section id="sup3r-qa-utilities-tke-wavenumber-spectrum">
+<h1>sup3r.qa.utilities.tke_wavenumber_spectrum<a class="headerlink" href="#sup3r-qa-utilities-tke-wavenumber-spectrum" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.qa.utilities.tke_wavenumber_spectrum">
+<span class="sig-name descname"><span class="pre">tke_wavenumber_spectrum</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">u</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">v</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_range</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/qa/utilities.html#tke_wavenumber_spectrum"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.qa.utilities.tke_wavenumber_spectrum" title="Link to this definition">#</a></dt>
+<dd><p>Turbulent Kinetic Energy Spectrum. Gives the portion of kinetic energy
+associated with each wavenumber.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>u</strong> (<em>ndarray</em>) – (lat, lon)
+U component of wind</p></li>
+<li><p><strong>v</strong> (<em>ndarray</em>) – (lat, lon)
+V component of wind</p></li>
+<li><p><strong>x_range</strong> (<em>list | None</em>) – List with min and max wavenumber. When comparing spectra for different
+domains this needs to be tailored to the specific domain.  e.g. k =
+[1/max_length, …, 1/min_length] If this is not specified k with be
+set to [0, …, len(y)] where y is the fft output.</p></li>
+<li><p><strong>axis</strong> (<em>int</em>) – Axis to average over to get a 1D wind field. If axis=0 this returns
+the zonal energy spectrum</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><em>ndarray</em> – Array of wavenumbers corresponding to energy amplitudes</p></li>
+<li><p><em>ndarray</em> – 1D array of amplitudes corresponding to the portion of total energy
+with a given wavenumber</p></li>
+</ul>
+</p>
+</dd>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.utilities.tke_wavenumber_spectrum"><code class="docutils literal notranslate"><span class="pre">tke_wavenumber_spectrum()</span></code></a></li>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.qa.utilities.wavenumber_spectrum"><code class="docutils literal notranslate"><span class="pre">wavenumber_spectrum()</span></code></a></li>
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+  <section id="sup3r-qa-utilities-wavenumber-spectrum">
+<h1>sup3r.qa.utilities.wavenumber_spectrum<a class="headerlink" href="#sup3r-qa-utilities-wavenumber-spectrum" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.qa.utilities.wavenumber_spectrum">
+<span class="sig-name descname"><span class="pre">wavenumber_spectrum</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">var</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x_range</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/qa/utilities.html#wavenumber_spectrum"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.qa.utilities.wavenumber_spectrum" title="Link to this definition">#</a></dt>
+<dd><p>Wavenumber Spectrum. Gives the portion of the given variable
+associated with each wavenumber.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>var</strong> (<em>ndarray</em>) – (lat, lon)</p></li>
+<li><p><strong>x_range</strong> (<em>list | None</em>) – List with min and max wavenumber. When comparing spectra for different
+domains this needs to be tailored to the specific domain.  e.g. k =
+[1/max_length, …, 1/min_length] If this is not specified k with be
+set to [0, …, len(y)] where y is the fft output.</p></li>
+<li><p><strong>axis</strong> (<em>int</em>) – Axis to average over to get a 1D field. If axis=0 this returns
+the zonal spectrum</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><em>ndarray</em> – Array of wavenumbers corresponding to amplitudes</p></li>
+<li><p><em>ndarray</em> – 1D array of amplitudes corresponding to the portion of the given
+variable with a given wavenumber</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
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+<p>Custom sup3r solar module. This primarily converts GAN output clearsky ratio
+to GHI, DNI, and DHI using NSRDB data and utility modules like DISC</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar"><code class="docutils literal notranslate"><span class="pre">Solar</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.preflight"><code class="docutils literal notranslate"><span class="pre">Solar.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.close"><code class="docutils literal notranslate"><span class="pre">Solar.close()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.idnn"><code class="docutils literal notranslate"><span class="pre">Solar.idnn</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.dist"><code class="docutils literal notranslate"><span class="pre">Solar.dist</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.time_index"><code class="docutils literal notranslate"><span class="pre">Solar.time_index</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.out_of_bounds"><code class="docutils literal notranslate"><span class="pre">Solar.out_of_bounds</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.nsrdb_tslice"><code class="docutils literal notranslate"><span class="pre">Solar.nsrdb_tslice</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.clearsky_ratio"><code class="docutils literal notranslate"><span class="pre">Solar.clearsky_ratio</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.solar_zenith_angle"><code class="docutils literal notranslate"><span class="pre">Solar.solar_zenith_angle</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.ghi"><code class="docutils literal notranslate"><span class="pre">Solar.ghi</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.dni"><code class="docutils literal notranslate"><span class="pre">Solar.dni</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.dhi"><code class="docutils literal notranslate"><span class="pre">Solar.dhi</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.cloud_mask"><code class="docutils literal notranslate"><span class="pre">Solar.cloud_mask</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.get_nsrdb_data"><code class="docutils literal notranslate"><span class="pre">Solar.get_nsrdb_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.get_sup3r_fps"><code class="docutils literal notranslate"><span class="pre">Solar.get_sup3r_fps()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">Solar.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.write"><code class="docutils literal notranslate"><span class="pre">Solar.write()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.run_temporal_chunks"><code class="docutils literal notranslate"><span class="pre">Solar.run_temporal_chunks()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-solar-solar-solar">
+<h1>sup3r.solar.solar.Solar<a class="headerlink" href="#sup3r-solar-solar-solar" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.solar.solar.Solar">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Solar</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sup3r_fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nsrdb_fp</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_slice</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">slice(None,</span> <span class="pre">None,</span> <span class="pre">None)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tz</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-6</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">agg_factor</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nn_threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cloud_threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.99</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/solar/solar.html#Solar"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.solar.solar.Solar" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<p>Custom sup3r solar module. This primarily converts GAN output clearsky
+ratio to GHI, DNI, and DHI using NSRDB data and utility modules like
+DISC</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>sup3r_fps</strong> (<em>str | list</em>) – Full .h5 filepath(s) to one or more sup3r GAN output .h5 chunk
+files containing clearsky_ratio, time_index, and meta. These files
+must have the same meta data but can be sequential and ordered
+temporal chunks. The data in this file has been rolled by tz
+to a local time (assumed that the GAN was trained on local time
+solar data) and will be converted back into UTC, so it’s wise to
+include some padding in the sup3r_fps file list.</p></li>
+<li><p><strong>nsrdb_fp</strong> (<em>str</em>) – Filepath to NSRDB .h5 file containing clearsky_ghi, clearsky_dni,
+clearsky_dhi data.</p></li>
+<li><p><strong>t_slice</strong> (<em>slice</em>) – Slicing argument to slice the temporal axis of the sup3r_fps source
+data after doing the tz roll to UTC but before returning the
+irradiance variables. This can be used to effectively pad the solar
+irradiance calculation in UTC time. For example, if sup3r_fps is 3
+files each with 24 hours of data, t_slice can be slice(24, 48) to
+only output the middle day of irradiance data, but padded by the
+other two days for the UTC output.</p></li>
+<li><p><strong>tz</strong> (<em>int</em>) – The timezone offset for the data in sup3r_fps. It is assumed that
+the GAN is trained on data in local time and therefore the output
+in sup3r_fps should be treated as local time. For example, -6 is
+CST which is default for CONUS training data.</p></li>
+<li><p><strong>agg_factor</strong> (<em>int</em>) – Spatial aggregation factor for nsrdb-to-GAN-meta e.g. the number of
+NSRDB spatial pixels to average for a single sup3r GAN output site.</p></li>
+<li><p><strong>nn_threshold</strong> (<em>float</em>) – The KDTree nearest neighbor threshold that determines how far the
+sup3r GAN output data has to be from the NSRDB source data to get
+irradiance=0. Note that is value is in decimal degrees which is a
+very approximate way to determine real distance.</p></li>
+<li><p><strong>cloud_threshold</strong> (<em>float</em>) – Clearsky ratio threshold below which the data is considered cloudy
+and DNI is calculated using DISC.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.solar.solar.Solar.close" title="sup3r.solar.solar.Solar.close"><code class="xref py py-obj docutils literal notranslate"><span class="pre">close</span></code></a>()</p></td>
+<td><p>Close all internal file handlers</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.solar.solar.Solar.get_node_cmd" title="sup3r.solar.solar.Solar.get_node_cmd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_node_cmd</span></code></a>(config)</p></td>
+<td><p>Get a CLI call to run Solar.run_temporal_chunk() on a single node based on an input config.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.solar.solar.Solar.get_nsrdb_data" title="sup3r.solar.solar.Solar.get_nsrdb_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_nsrdb_data</span></code></a>(dset)</p></td>
+<td><p>Get an NSRDB dataset with spatial index corresponding to the sup3r GAN output data, averaged across the agg_factor.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.solar.solar.Solar.get_sup3r_fps" title="sup3r.solar.solar.Solar.get_sup3r_fps"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_sup3r_fps</span></code></a>(fp_pattern[, ignore])</p></td>
+<td><p>Get a list of file chunks to run in parallel based on a file pattern</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.solar.solar.Solar.preflight" title="sup3r.solar.solar.Solar.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run preflight checks on source data to make sure everything will work together.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.solar.solar.Solar.run_temporal_chunks" title="sup3r.solar.solar.Solar.run_temporal_chunks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run_temporal_chunks</span></code></a>(fp_pattern, nsrdb_fp[, ...])</p></td>
+<td><p>Run the solar module on all spatial chunks for each temporal chunk corresponding to the fp_pattern and the given list of temporal_ids.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.solar.solar.Solar.write" title="sup3r.solar.solar.Solar.write"><code class="xref py py-obj docutils literal notranslate"><span class="pre">write</span></code></a>(fp_out[, features])</p></td>
+<td><p>Write irradiance datasets (ghi, dni, dhi) to output h5 file.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.solar.solar.Solar.clearsky_ratio" title="sup3r.solar.solar.Solar.clearsky_ratio"><code class="xref py py-obj docutils literal notranslate"><span class="pre">clearsky_ratio</span></code></a></p></td>
+<td><p>Get the clearsky ghi ratio data from the GAN output, rolled from tz to UTC.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.solar.solar.Solar.cloud_mask" title="sup3r.solar.solar.Solar.cloud_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cloud_mask</span></code></a></p></td>
+<td><p>Get the cloud mask (True if cloudy) based on the GAN output clearsky ratio in UTC.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.solar.solar.Solar.dhi" title="sup3r.solar.solar.Solar.dhi"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dhi</span></code></a></p></td>
+<td><p>Get the dhi (W/m2) which is calculated based on the simple relationship between GHI, DNI and solar zenith angle.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.solar.solar.Solar.dist" title="sup3r.solar.solar.Solar.dist"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dist</span></code></a></p></td>
+<td><p>Get the nearest neighbor distances from the sup3r GAN data sites to the NSRDB nearest neighbors.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.solar.solar.Solar.dni" title="sup3r.solar.solar.Solar.dni"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dni</span></code></a></p></td>
+<td><p>Get the dni (W/m2) which is clearsky dni (from NSRDB) when the GAN output is clear (clearsky_ratio is &gt; cloud_threshold), and calculated from the DISC model when cloudy</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.solar.solar.Solar.ghi" title="sup3r.solar.solar.Solar.ghi"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ghi</span></code></a></p></td>
+<td><p>Get the ghi (W/m2) based on the GAN output clearsky ratio + clearsky_ghi in UTC.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.solar.solar.Solar.idnn" title="sup3r.solar.solar.Solar.idnn"><code class="xref py py-obj docutils literal notranslate"><span class="pre">idnn</span></code></a></p></td>
+<td><p>Get the nearest neighbor meta data indices from the NSRDB data that correspond to the sup3r GAN data</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.solar.solar.Solar.nsrdb_tslice" title="sup3r.solar.solar.Solar.nsrdb_tslice"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nsrdb_tslice</span></code></a></p></td>
+<td><p>Get the time slice of the NSRDB data corresponding to the sup3r GAN output.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.solar.solar.Solar.out_of_bounds" title="sup3r.solar.solar.Solar.out_of_bounds"><code class="xref py py-obj docutils literal notranslate"><span class="pre">out_of_bounds</span></code></a></p></td>
+<td><p>Get a boolean mask for the sup3r data that is out of bounds (too far from the NSRDB data).</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.solar.solar.Solar.solar_zenith_angle" title="sup3r.solar.solar.Solar.solar_zenith_angle"><code class="xref py py-obj docutils literal notranslate"><span class="pre">solar_zenith_angle</span></code></a></p></td>
+<td><p>Get the solar zenith angle (degrees)</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.solar.solar.Solar.time_index" title="sup3r.solar.solar.Solar.time_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">time_index</span></code></a></p></td>
+<td><p>Time index for the sup3r GAN output data but sliced by t_slice</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.solar.solar.Solar.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/solar/solar.html#Solar.preflight"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.solar.solar.Solar.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run preflight checks on source data to make sure everything will
+work together.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.solar.solar.Solar.close">
+<span class="sig-name descname"><span class="pre">close</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/solar/solar.html#Solar.close"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.solar.solar.Solar.close" title="Link to this definition">#</a></dt>
+<dd><p>Close all internal file handlers</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.solar.solar.Solar.idnn">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">idnn</span></span><a class="headerlink" href="#sup3r.solar.solar.Solar.idnn" title="Link to this definition">#</a></dt>
+<dd><p>Get the nearest neighbor meta data indices from the NSRDB data that
+correspond to the sup3r GAN data</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>idnn</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 2D array of length (n_sup3r_sites, agg_factor) where the values are
+meta data indices from the NSRDB.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.solar.solar.Solar.dist">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">dist</span></span><a class="headerlink" href="#sup3r.solar.solar.Solar.dist" title="Link to this definition">#</a></dt>
+<dd><p>Get the nearest neighbor distances from the sup3r GAN data sites to
+the NSRDB nearest neighbors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>dist</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 2D array of length (n_sup3r_sites, agg_factor) where the values are
+decimal degree distances from the sup3r sites to the nsrdb nearest
+neighbors.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.solar.solar.Solar.time_index">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">time_index</span></span><a class="headerlink" href="#sup3r.solar.solar.Solar.time_index" title="Link to this definition">#</a></dt>
+<dd><p>Time index for the sup3r GAN output data but sliced by t_slice</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>pd.DatetimeIndex</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.solar.solar.Solar.out_of_bounds">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">out_of_bounds</span></span><a class="headerlink" href="#sup3r.solar.solar.Solar.out_of_bounds" title="Link to this definition">#</a></dt>
+<dd><p>Get a boolean mask for the sup3r data that is out of bounds (too far
+from the NSRDB data).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>out_of_bounds</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 1D boolean array with length == number of sup3r GAN sites. True if
+the site is too far from the NSRDB.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.solar.solar.Solar.nsrdb_tslice">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">nsrdb_tslice</span></span><a class="headerlink" href="#sup3r.solar.solar.Solar.nsrdb_tslice" title="Link to this definition">#</a></dt>
+<dd><p>Get the time slice of the NSRDB data corresponding to the sup3r GAN
+output.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.solar.solar.Solar.clearsky_ratio">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">clearsky_ratio</span></span><a class="headerlink" href="#sup3r.solar.solar.Solar.clearsky_ratio" title="Link to this definition">#</a></dt>
+<dd><p>Get the clearsky ghi ratio data from the GAN output, rolled from tz
+to UTC.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>clearsky_ratio</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 2D array with shape (time, sites) in UTC.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.solar.solar.Solar.solar_zenith_angle">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">solar_zenith_angle</span></span><a class="headerlink" href="#sup3r.solar.solar.Solar.solar_zenith_angle" title="Link to this definition">#</a></dt>
+<dd><p>Get the solar zenith angle (degrees)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>solar_zenith_angle</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 2D array with shape (time, sites) in UTC.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.solar.solar.Solar.ghi">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ghi</span></span><a class="headerlink" href="#sup3r.solar.solar.Solar.ghi" title="Link to this definition">#</a></dt>
+<dd><p>Get the ghi (W/m2) based on the GAN output clearsky ratio +
+clearsky_ghi in UTC.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>ghi</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 2D array with shape (time, sites) in UTC.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.solar.solar.Solar.dni">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">dni</span></span><a class="headerlink" href="#sup3r.solar.solar.Solar.dni" title="Link to this definition">#</a></dt>
+<dd><p>Get the dni (W/m2) which is clearsky dni (from NSRDB) when the GAN
+output is clear (clearsky_ratio is &gt; cloud_threshold), and calculated
+from the DISC model when cloudy</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>dni</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 2D array with shape (time, sites) in UTC.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.solar.solar.Solar.dhi">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">dhi</span></span><a class="headerlink" href="#sup3r.solar.solar.Solar.dhi" title="Link to this definition">#</a></dt>
+<dd><p>Get the dhi (W/m2) which is calculated based on the simple
+relationship between GHI, DNI and solar zenith angle.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>dhi</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 2D array with shape (time, sites) in UTC.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.solar.solar.Solar.cloud_mask">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">cloud_mask</span></span><a class="headerlink" href="#sup3r.solar.solar.Solar.cloud_mask" title="Link to this definition">#</a></dt>
+<dd><p>Get the cloud mask (True if cloudy) based on the GAN output clearsky
+ratio in UTC.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>cloud_mask</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 2D array with shape (time, sites) in UTC.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.solar.solar.Solar.get_nsrdb_data">
+<span class="sig-name descname"><span class="pre">get_nsrdb_data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dset</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/solar/solar.html#Solar.get_nsrdb_data"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.solar.solar.Solar.get_nsrdb_data" title="Link to this definition">#</a></dt>
+<dd><p>Get an NSRDB dataset with spatial index corresponding to the sup3r
+GAN output data, averaged across the agg_factor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>dset</strong> (<em>str</em>) – Name of dataset to retrieve from NSRDB source file</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – Dataset of shape (time, sites) where time and sites correspond to
+the same shape as the sup3r GAN output data and if agg_factor &gt; 1
+the sites is an average across multiple NSRDB sites.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.solar.solar.Solar.get_sup3r_fps">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_sup3r_fps</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fp_pattern</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/solar/solar.html#Solar.get_sup3r_fps"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.solar.solar.Solar.get_sup3r_fps" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of file chunks to run in parallel based on a file pattern</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>It’s assumed that all source files have the pattern
+<cite>sup3r_file_TTTTTT_SSSSSS.h5</cite> where TTTTTT is the zero-padded temporal
+chunk index and SSSSSS is the zero-padded spatial chunk index.</p>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>fp_pattern</strong> (<em>str | list</em>) – Unix-style file*pattern that matches a set of spatiotemporally
+chunked sup3r forward pass output files.</p></li>
+<li><p><strong>ignore</strong> (<em>str | None</em>) – Ignore all files that have this string in their filenames.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>fp_sets</strong> (<em>list</em>) – List of file sets where each file set is 3 temporally sequential
+files over the same spatial chunk. Each file set overlaps with its
+neighbor such that fp_sets[0][-1] == fp_sets[1][0] (this is so
+Solar can do temporal padding when rolling from GAN local time
+output to UTC).</p></li>
+<li><p><strong>t_slices</strong> (<em>list</em>) – List of t_slice arguments corresponding to fp_sets to pass to
+Solar class initialization that will slice and reduce the
+overlapping time axis when Solar outputs irradiance data.</p></li>
+<li><p><strong>temporal_ids</strong> (<em>list</em>) – List of temporal id strings TTTTTT corresponding to the fp_sets</p></li>
+<li><p><strong>spatial_ids</strong> (<em>list</em>) – List of spatial id strings SSSSSS corresponding to the fp_sets</p></li>
+<li><p><strong>target_fps</strong> (<em>list</em>) – List of actual target files corresponding to fp_sets, so for
+example the file set fp_sets[10] sliced by t_slices[10] is designed
+to process target_fps[10]</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.solar.solar.Solar.get_node_cmd">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_node_cmd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/solar/solar.html#Solar.get_node_cmd"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.solar.solar.Solar.get_node_cmd" title="Link to this definition">#</a></dt>
+<dd><p>Get a CLI call to run Solar.run_temporal_chunk() on a single
+node based on an input config.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>config</strong> (<em>dict</em>) – sup3r solar config with all necessary args and kwargs to
+run Solar.run_temporal_chunk() on a single node.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.solar.solar.Solar.write">
+<span class="sig-name descname"><span class="pre">write</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fp_out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">('ghi',</span> <span class="pre">'dni',</span> <span class="pre">'dhi')</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/solar/solar.html#Solar.write"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.solar.solar.Solar.write" title="Link to this definition">#</a></dt>
+<dd><p>Write irradiance datasets (ghi, dni, dhi) to output h5 file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>fp_out</strong> (<em>str</em>) – Filepath to an output h5 file to write irradiance variables to.
+Parent directory will be created if it does not exist.</p></li>
+<li><p><strong>features</strong> (<em>list | tuple</em>) – List of features to write to disk. These have to be attributes of
+the Solar class (ghi, dni, dhi).</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.solar.solar.Solar.run_temporal_chunks">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">run_temporal_chunks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fp_pattern</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nsrdb_fp</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fp_out_suffix</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'irradiance'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tz</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-6</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">agg_factor</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nn_threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cloud_threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.99</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">('ghi',</span> <span class="pre">'dni',</span> <span class="pre">'dhi')</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_ids</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/solar/solar.html#Solar.run_temporal_chunks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.solar.solar.Solar.run_temporal_chunks" title="Link to this definition">#</a></dt>
+<dd><p>Run the solar module on all spatial chunks for each temporal
+chunk corresponding to the fp_pattern and the given list of
+temporal_ids. This typically gets run from the CLI.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>fp_pattern</strong> (<em>str</em>) – Unix-style file*pattern that matches a set of spatiotemporally
+chunked sup3r forward pass output files.</p></li>
+<li><p><strong>nsrdb_fp</strong> (<em>str</em>) – Filepath to NSRDB .h5 file containing clearsky_ghi, clearsky_dni,
+clearsky_dhi data.</p></li>
+<li><p><strong>fp_out_suffix</strong> (<em>str</em>) – Suffix to add to the input sup3r source files when writing the
+processed solar irradiance data to new data files.</p></li>
+<li><p><strong>tz</strong> (<em>int</em>) – The timezone offset for the data in sup3r_fps. It is assumed that
+the GAN is trained on data in local time and therefore the output
+in sup3r_fps should be treated as local time. For example, -6 is
+CST which is default for CONUS training data.</p></li>
+<li><p><strong>agg_factor</strong> (<em>int</em>) – Spatial aggregation factor for nsrdb-to-GAN-meta e.g. the number of
+NSRDB spatial pixels to average for a single sup3r GAN output site.</p></li>
+<li><p><strong>nn_threshold</strong> (<em>float</em>) – The KDTree nearest neighbor threshold that determines how far the
+sup3r GAN output data has to be from the NSRDB source data to get
+irradiance=0. Note that is value is in decimal degrees which is a
+very approximate way to determine real distance.</p></li>
+<li><p><strong>cloud_threshold</strong> (<em>float</em>) – Clearsky ratio threshold below which the data is considered cloudy
+and DNI is calculated using DISC.</p></li>
+<li><p><strong>features</strong> (<em>list | tuple</em>) – List of features to write to disk. These have to be attributes of
+the Solar class (ghi, dni, dhi).</p></li>
+<li><p><strong>temporal_ids</strong> (<em>list | None</em>) – Lise of zero-padded temporal ids from the file chunks that match
+fp_pattern. This input typically gets set from the CLI. If None,
+this will run all temporal indices.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
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+    <i class="fa-solid fa-list"></i> Contents
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+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar"><code class="docutils literal notranslate"><span class="pre">Solar</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.preflight"><code class="docutils literal notranslate"><span class="pre">Solar.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.close"><code class="docutils literal notranslate"><span class="pre">Solar.close()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.idnn"><code class="docutils literal notranslate"><span class="pre">Solar.idnn</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.dist"><code class="docutils literal notranslate"><span class="pre">Solar.dist</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.time_index"><code class="docutils literal notranslate"><span class="pre">Solar.time_index</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.out_of_bounds"><code class="docutils literal notranslate"><span class="pre">Solar.out_of_bounds</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.nsrdb_tslice"><code class="docutils literal notranslate"><span class="pre">Solar.nsrdb_tslice</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.clearsky_ratio"><code class="docutils literal notranslate"><span class="pre">Solar.clearsky_ratio</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.solar_zenith_angle"><code class="docutils literal notranslate"><span class="pre">Solar.solar_zenith_angle</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.ghi"><code class="docutils literal notranslate"><span class="pre">Solar.ghi</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.dni"><code class="docutils literal notranslate"><span class="pre">Solar.dni</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.dhi"><code class="docutils literal notranslate"><span class="pre">Solar.dhi</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.cloud_mask"><code class="docutils literal notranslate"><span class="pre">Solar.cloud_mask</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.get_nsrdb_data"><code class="docutils literal notranslate"><span class="pre">Solar.get_nsrdb_data()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.get_sup3r_fps"><code class="docutils literal notranslate"><span class="pre">Solar.get_sup3r_fps()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.get_node_cmd"><code class="docutils literal notranslate"><span class="pre">Solar.get_node_cmd()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.write"><code class="docutils literal notranslate"><span class="pre">Solar.write()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar.Solar.run_temporal_chunks"><code class="docutils literal notranslate"><span class="pre">Solar.run_temporal_chunks()</span></code></a></li>
+</ul>
+</li>
+</ul>
+  </nav></div>
+
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+<div class="bd-footer-content__inner container">
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+By Brandon Benton, Grant Buster, Andrew Glaws, Ryan King
+</p>
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+<p>Custom sup3r solar module. This primarily converts GAN output clearsky ratio
+to GHI, DNI, and DHI using NSRDB data and utility modules like DISC</p>
+<p>Note that clearsky_ratio is assumed to be clearsky ghi ratio and is calculated
+as daily average GHI / daily average clearsky GHI.</p>
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+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar" title="sup3r.solar.solar.Solar"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Solar</span></code></a>(sup3r_fps, nsrdb_fp[, t_slice, tz, ...])</p></td>
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+  <section id="module-sup3r.solar.solar_cli">
+<span id="sup3r-solar-solar-cli"></span><h1>sup3r.solar.solar_cli<a class="headerlink" href="#module-sup3r.solar.solar_cli" title="Link to this heading">#</a></h1>
+<p>sup3r solar CLI entry points.</p>
+<p class="rubric">Functions</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.solar.solar_cli.kickoff_local_job.html#sup3r.solar.solar_cli.kickoff_local_job" title="sup3r.solar.solar_cli.kickoff_local_job"><code class="xref py py-obj docutils literal notranslate"><span class="pre">kickoff_local_job</span></code></a>(ctx, cmd[, pipeline_step])</p></td>
+<td><p>Run sup3r solar locally.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.solar.solar_cli.kickoff_slurm_job.html#sup3r.solar.solar_cli.kickoff_slurm_job" title="sup3r.solar.solar_cli.kickoff_slurm_job"><code class="xref py py-obj docutils literal notranslate"><span class="pre">kickoff_slurm_job</span></code></a>(ctx, cmd[, pipeline_step, ...])</p></td>
+<td><p>Run sup3r on HPC via SLURM job submission.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar_cli.kickoff_local_job"><code class="docutils literal notranslate"><span class="pre">kickoff_local_job()</span></code></a></li>
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+  <section id="sup3r-solar-solar-cli-kickoff-local-job">
+<h1>sup3r.solar.solar_cli.kickoff_local_job<a class="headerlink" href="#sup3r-solar-solar-cli-kickoff-local-job" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.solar.solar_cli.kickoff_local_job">
+<span class="sig-name descname"><span class="pre">kickoff_local_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ctx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cmd</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pipeline_step</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/solar/solar_cli.html#kickoff_local_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.solar.solar_cli.kickoff_local_job" title="Link to this definition">#</a></dt>
+<dd><p>Run sup3r solar locally.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>ctx</strong> (<em>click.pass_context</em>) – Click context object where ctx.obj is a dictionary</p></li>
+<li><p><strong>cmd</strong> (<em>str</em>) –</p>
+<dl class="simple">
+<dt>Command to be submitted in shell script. Example:</dt><dd><p>‘python -m sup3r.cli forward_pass -c &lt;config_file&gt;’</p>
+</dd>
+</dl>
+</li>
+<li><p><strong>pipeline_step</strong> (<em>str, optional</em>) – Name of the pipeline step being run. If <code class="docutils literal notranslate"><span class="pre">None</span></code>, the
+<code class="docutils literal notranslate"><span class="pre">pipeline_step</span></code> will be set to the <code class="docutils literal notranslate"><span class="pre">module_name</span></code>,
+mimicking old reV behavior. By default, <code class="docutils literal notranslate"><span class="pre">None</span></code>.</p></li>
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+    <h1>sup3r.solar.solar_cli.kickoff_slurm_job</h1>
+    <!-- Table of contents -->
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+            
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+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar_cli.kickoff_slurm_job"><code class="docutils literal notranslate"><span class="pre">kickoff_slurm_job()</span></code></a></li>
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+  <section id="sup3r-solar-solar-cli-kickoff-slurm-job">
+<h1>sup3r.solar.solar_cli.kickoff_slurm_job<a class="headerlink" href="#sup3r-solar-solar-cli-kickoff-slurm-job" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.solar.solar_cli.kickoff_slurm_job">
+<span class="sig-name descname"><span class="pre">kickoff_slurm_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ctx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cmd</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pipeline_step</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alloc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sup3r'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">memory</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">walltime</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stdout_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'./stdout/'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/solar/solar_cli.html#kickoff_slurm_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.solar.solar_cli.kickoff_slurm_job" title="Link to this definition">#</a></dt>
+<dd><p>Run sup3r on HPC via SLURM job submission.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>ctx</strong> (<em>click.pass_context</em>) – Click context object where ctx.obj is a dictionary</p></li>
+<li><p><strong>cmd</strong> (<em>str</em>) –</p>
+<dl class="simple">
+<dt>Command to be submitted in SLURM shell script. Example:</dt><dd><p>‘python -m sup3r.cli forward_pass -c &lt;config_file&gt;’</p>
+</dd>
+</dl>
+</li>
+<li><p><strong>pipeline_step</strong> (<em>str, optional</em>) – Name of the pipeline step being run. If <code class="docutils literal notranslate"><span class="pre">None</span></code>, the
+<code class="docutils literal notranslate"><span class="pre">pipeline_step</span></code> will be set to the <code class="docutils literal notranslate"><span class="pre">module_name</span></code>,
+mimicking old reV behavior. By default, <code class="docutils literal notranslate"><span class="pre">None</span></code>.</p></li>
+<li><p><strong>alloc</strong> (<em>str</em>) – HPC project (allocation) handle. Example: ‘sup3r’.</p></li>
+<li><p><strong>memory</strong> (<em>int</em>) – Node memory request in GB.</p></li>
+<li><p><strong>walltime</strong> (<em>float</em>) – Node walltime request in hours.</p></li>
+<li><p><strong>feature</strong> (<em>str</em>) – Additional flags for SLURM job. Format is “–qos=high”
+or “–depend=[state:job_id]”. Default is None.</p></li>
+<li><p><strong>stdout_path</strong> (<em>str</em>) – Path to print .stdout and .stderr files.</p></li>
+</ul>
+</dd>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.solar.solar_cli.kickoff_slurm_job"><code class="docutils literal notranslate"><span class="pre">kickoff_slurm_job()</span></code></a></li>
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+    <h1>sup3r.utilities.ModuleName</h1>
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+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName"><code class="docutils literal notranslate"><span class="pre">ModuleName</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.all_names"><code class="docutils literal notranslate"><span class="pre">ModuleName.all_names()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.__add__"><code class="docutils literal notranslate"><span class="pre">ModuleName.__add__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.__mul__"><code class="docutils literal notranslate"><span class="pre">ModuleName.__mul__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.encode"><code class="docutils literal notranslate"><span class="pre">ModuleName.encode()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.replace"><code class="docutils literal notranslate"><span class="pre">ModuleName.replace()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.split"><code class="docutils literal notranslate"><span class="pre">ModuleName.split()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.rsplit"><code class="docutils literal notranslate"><span class="pre">ModuleName.rsplit()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.join"><code class="docutils literal notranslate"><span class="pre">ModuleName.join()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.capitalize"><code class="docutils literal notranslate"><span class="pre">ModuleName.capitalize()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.casefold"><code class="docutils literal notranslate"><span class="pre">ModuleName.casefold()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.title"><code class="docutils literal notranslate"><span class="pre">ModuleName.title()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.center"><code class="docutils literal notranslate"><span class="pre">ModuleName.center()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.count"><code class="docutils literal notranslate"><span class="pre">ModuleName.count()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.expandtabs"><code class="docutils literal notranslate"><span class="pre">ModuleName.expandtabs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.find"><code class="docutils literal notranslate"><span class="pre">ModuleName.find()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.partition"><code class="docutils literal notranslate"><span class="pre">ModuleName.partition()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.index"><code class="docutils literal notranslate"><span class="pre">ModuleName.index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.ljust"><code class="docutils literal notranslate"><span class="pre">ModuleName.ljust()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.lower"><code class="docutils literal notranslate"><span class="pre">ModuleName.lower()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.lstrip"><code class="docutils literal notranslate"><span class="pre">ModuleName.lstrip()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.rfind"><code class="docutils literal notranslate"><span class="pre">ModuleName.rfind()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.rindex"><code class="docutils literal notranslate"><span class="pre">ModuleName.rindex()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.rjust"><code class="docutils literal notranslate"><span class="pre">ModuleName.rjust()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.rstrip"><code class="docutils literal notranslate"><span class="pre">ModuleName.rstrip()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.rpartition"><code class="docutils literal notranslate"><span class="pre">ModuleName.rpartition()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.splitlines"><code class="docutils literal notranslate"><span class="pre">ModuleName.splitlines()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.strip"><code class="docutils literal notranslate"><span class="pre">ModuleName.strip()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.swapcase"><code class="docutils literal notranslate"><span class="pre">ModuleName.swapcase()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.translate"><code class="docutils literal notranslate"><span class="pre">ModuleName.translate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.upper"><code class="docutils literal notranslate"><span class="pre">ModuleName.upper()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.startswith"><code class="docutils literal notranslate"><span class="pre">ModuleName.startswith()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.endswith"><code class="docutils literal notranslate"><span class="pre">ModuleName.endswith()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.removeprefix"><code class="docutils literal notranslate"><span class="pre">ModuleName.removeprefix()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.removesuffix"><code class="docutils literal notranslate"><span class="pre">ModuleName.removesuffix()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.isascii"><code class="docutils literal notranslate"><span class="pre">ModuleName.isascii()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.islower"><code class="docutils literal notranslate"><span class="pre">ModuleName.islower()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.isupper"><code class="docutils literal notranslate"><span class="pre">ModuleName.isupper()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.istitle"><code class="docutils literal notranslate"><span class="pre">ModuleName.istitle()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.isspace"><code class="docutils literal notranslate"><span class="pre">ModuleName.isspace()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.isdecimal"><code class="docutils literal notranslate"><span class="pre">ModuleName.isdecimal()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.isdigit"><code class="docutils literal notranslate"><span class="pre">ModuleName.isdigit()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.isnumeric"><code class="docutils literal notranslate"><span class="pre">ModuleName.isnumeric()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.isalpha"><code class="docutils literal notranslate"><span class="pre">ModuleName.isalpha()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.isalnum"><code class="docutils literal notranslate"><span class="pre">ModuleName.isalnum()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.isidentifier"><code class="docutils literal notranslate"><span class="pre">ModuleName.isidentifier()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.isprintable"><code class="docutils literal notranslate"><span class="pre">ModuleName.isprintable()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.zfill"><code class="docutils literal notranslate"><span class="pre">ModuleName.zfill()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.format"><code class="docutils literal notranslate"><span class="pre">ModuleName.format()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.format_map"><code class="docutils literal notranslate"><span class="pre">ModuleName.format_map()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.maketrans"><code class="docutils literal notranslate"><span class="pre">ModuleName.maketrans()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-utilities-modulename">
+<h1>sup3r.utilities.ModuleName<a class="headerlink" href="#sup3r-utilities-modulename" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ModuleName</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities.html#ModuleName"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.ModuleName" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a>, <a class="reference external" href="https://docs.python.org/3/library/enum.html#enum.Enum" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Enum</span></code></a></p>
+<p>A collection of the module names available in sup3r.
+Each module name should match the name of the click command
+that will be used to invoke its respective cli. As of 5/26/2022,
+this means that all commands are lowercase with underscores
+replaced by dashes.</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.encode" title="sup3r.utilities.ModuleName.encode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">encode</span></code></a>([encoding, errors])</p></td>
+<td><p>Encode the string using the codec registered for encoding.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.replace" title="sup3r.utilities.ModuleName.replace"><code class="xref py py-obj docutils literal notranslate"><span class="pre">replace</span></code></a>(old, new[, count])</p></td>
+<td><p>Return a copy with all occurrences of substring old replaced by new.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.split" title="sup3r.utilities.ModuleName.split"><code class="xref py py-obj docutils literal notranslate"><span class="pre">split</span></code></a>([sep, maxsplit])</p></td>
+<td><p>Return a list of the substrings in the string, using sep as the separator string.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.rsplit" title="sup3r.utilities.ModuleName.rsplit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rsplit</span></code></a>([sep, maxsplit])</p></td>
+<td><p>Return a list of the substrings in the string, using sep as the separator string.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.join" title="sup3r.utilities.ModuleName.join"><code class="xref py py-obj docutils literal notranslate"><span class="pre">join</span></code></a>(iterable, /)</p></td>
+<td><p>Concatenate any number of strings.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.capitalize" title="sup3r.utilities.ModuleName.capitalize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">capitalize</span></code></a>()</p></td>
+<td><p>Return a capitalized version of the string.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.casefold" title="sup3r.utilities.ModuleName.casefold"><code class="xref py py-obj docutils literal notranslate"><span class="pre">casefold</span></code></a>()</p></td>
+<td><p>Return a version of the string suitable for caseless comparisons.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.title" title="sup3r.utilities.ModuleName.title"><code class="xref py py-obj docutils literal notranslate"><span class="pre">title</span></code></a>()</p></td>
+<td><p>Return a version of the string where each word is titlecased.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.center" title="sup3r.utilities.ModuleName.center"><code class="xref py py-obj docutils literal notranslate"><span class="pre">center</span></code></a>(width[, fillchar])</p></td>
+<td><p>Return a centered string of length width.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.count" title="sup3r.utilities.ModuleName.count"><code class="xref py py-obj docutils literal notranslate"><span class="pre">count</span></code></a>(sub[, start[, end]])</p></td>
+<td><p>Return the number of non-overlapping occurrences of substring sub in string S[start:end].</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.expandtabs" title="sup3r.utilities.ModuleName.expandtabs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">expandtabs</span></code></a>([tabsize])</p></td>
+<td><p>Return a copy where all tab characters are expanded using spaces.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.find" title="sup3r.utilities.ModuleName.find"><code class="xref py py-obj docutils literal notranslate"><span class="pre">find</span></code></a>(sub[, start[, end]])</p></td>
+<td><p>Return the lowest index in S where substring sub is found, such that sub is contained within S[start:end].</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.partition" title="sup3r.utilities.ModuleName.partition"><code class="xref py py-obj docutils literal notranslate"><span class="pre">partition</span></code></a>(sep, /)</p></td>
+<td><p>Partition the string into three parts using the given separator.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.index" title="sup3r.utilities.ModuleName.index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">index</span></code></a>(sub[, start[, end]])</p></td>
+<td><p>Return the lowest index in S where substring sub is found, such that sub is contained within S[start:end].</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.ljust" title="sup3r.utilities.ModuleName.ljust"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ljust</span></code></a>(width[, fillchar])</p></td>
+<td><p>Return a left-justified string of length width.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.lower" title="sup3r.utilities.ModuleName.lower"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lower</span></code></a>()</p></td>
+<td><p>Return a copy of the string converted to lowercase.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.lstrip" title="sup3r.utilities.ModuleName.lstrip"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lstrip</span></code></a>([chars])</p></td>
+<td><p>Return a copy of the string with leading whitespace removed.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.rfind" title="sup3r.utilities.ModuleName.rfind"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rfind</span></code></a>(sub[, start[, end]])</p></td>
+<td><p>Return the highest index in S where substring sub is found, such that sub is contained within S[start:end].</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.rindex" title="sup3r.utilities.ModuleName.rindex"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rindex</span></code></a>(sub[, start[, end]])</p></td>
+<td><p>Return the highest index in S where substring sub is found, such that sub is contained within S[start:end].</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.rjust" title="sup3r.utilities.ModuleName.rjust"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rjust</span></code></a>(width[, fillchar])</p></td>
+<td><p>Return a right-justified string of length width.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.rstrip" title="sup3r.utilities.ModuleName.rstrip"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rstrip</span></code></a>([chars])</p></td>
+<td><p>Return a copy of the string with trailing whitespace removed.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.rpartition" title="sup3r.utilities.ModuleName.rpartition"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rpartition</span></code></a>(sep, /)</p></td>
+<td><p>Partition the string into three parts using the given separator.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.splitlines" title="sup3r.utilities.ModuleName.splitlines"><code class="xref py py-obj docutils literal notranslate"><span class="pre">splitlines</span></code></a>([keepends])</p></td>
+<td><p>Return a list of the lines in the string, breaking at line boundaries.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.strip" title="sup3r.utilities.ModuleName.strip"><code class="xref py py-obj docutils literal notranslate"><span class="pre">strip</span></code></a>([chars])</p></td>
+<td><p>Return a copy of the string with leading and trailing whitespace removed.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.swapcase" title="sup3r.utilities.ModuleName.swapcase"><code class="xref py py-obj docutils literal notranslate"><span class="pre">swapcase</span></code></a>()</p></td>
+<td><p>Convert uppercase characters to lowercase and lowercase characters to uppercase.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.translate" title="sup3r.utilities.ModuleName.translate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">translate</span></code></a>(table, /)</p></td>
+<td><p>Replace each character in the string using the given translation table.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.upper" title="sup3r.utilities.ModuleName.upper"><code class="xref py py-obj docutils literal notranslate"><span class="pre">upper</span></code></a>()</p></td>
+<td><p>Return a copy of the string converted to uppercase.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.startswith" title="sup3r.utilities.ModuleName.startswith"><code class="xref py py-obj docutils literal notranslate"><span class="pre">startswith</span></code></a>(prefix[, start[, end]])</p></td>
+<td><p>Return True if S starts with the specified prefix, False otherwise.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.endswith" title="sup3r.utilities.ModuleName.endswith"><code class="xref py py-obj docutils literal notranslate"><span class="pre">endswith</span></code></a>(suffix[, start[, end]])</p></td>
+<td><p>Return True if S ends with the specified suffix, False otherwise.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.removeprefix" title="sup3r.utilities.ModuleName.removeprefix"><code class="xref py py-obj docutils literal notranslate"><span class="pre">removeprefix</span></code></a>(prefix, /)</p></td>
+<td><p>Return a str with the given prefix string removed if present.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.removesuffix" title="sup3r.utilities.ModuleName.removesuffix"><code class="xref py py-obj docutils literal notranslate"><span class="pre">removesuffix</span></code></a>(suffix, /)</p></td>
+<td><p>Return a str with the given suffix string removed if present.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.isascii" title="sup3r.utilities.ModuleName.isascii"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isascii</span></code></a>()</p></td>
+<td><p>Return True if all characters in the string are ASCII, False otherwise.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.islower" title="sup3r.utilities.ModuleName.islower"><code class="xref py py-obj docutils literal notranslate"><span class="pre">islower</span></code></a>()</p></td>
+<td><p>Return True if the string is a lowercase string, False otherwise.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.isupper" title="sup3r.utilities.ModuleName.isupper"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isupper</span></code></a>()</p></td>
+<td><p>Return True if the string is an uppercase string, False otherwise.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.istitle" title="sup3r.utilities.ModuleName.istitle"><code class="xref py py-obj docutils literal notranslate"><span class="pre">istitle</span></code></a>()</p></td>
+<td><p>Return True if the string is a title-cased string, False otherwise.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.isspace" title="sup3r.utilities.ModuleName.isspace"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isspace</span></code></a>()</p></td>
+<td><p>Return True if the string is a whitespace string, False otherwise.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.isdecimal" title="sup3r.utilities.ModuleName.isdecimal"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isdecimal</span></code></a>()</p></td>
+<td><p>Return True if the string is a decimal string, False otherwise.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.isdigit" title="sup3r.utilities.ModuleName.isdigit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isdigit</span></code></a>()</p></td>
+<td><p>Return True if the string is a digit string, False otherwise.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.isnumeric" title="sup3r.utilities.ModuleName.isnumeric"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isnumeric</span></code></a>()</p></td>
+<td><p>Return True if the string is a numeric string, False otherwise.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.isalpha" title="sup3r.utilities.ModuleName.isalpha"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isalpha</span></code></a>()</p></td>
+<td><p>Return True if the string is an alphabetic string, False otherwise.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.isalnum" title="sup3r.utilities.ModuleName.isalnum"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isalnum</span></code></a>()</p></td>
+<td><p>Return True if the string is an alpha-numeric string, False otherwise.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.isidentifier" title="sup3r.utilities.ModuleName.isidentifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isidentifier</span></code></a>()</p></td>
+<td><p>Return True if the string is a valid Python identifier, False otherwise.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.isprintable" title="sup3r.utilities.ModuleName.isprintable"><code class="xref py py-obj docutils literal notranslate"><span class="pre">isprintable</span></code></a>()</p></td>
+<td><p>Return True if the string is printable, False otherwise.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.zfill" title="sup3r.utilities.ModuleName.zfill"><code class="xref py py-obj docutils literal notranslate"><span class="pre">zfill</span></code></a>(width, /)</p></td>
+<td><p>Pad a numeric string with zeros on the left, to fill a field of the given width.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.format" title="sup3r.utilities.ModuleName.format"><code class="xref py py-obj docutils literal notranslate"><span class="pre">format</span></code></a>(*args, **kwargs)</p></td>
+<td><p>Return a formatted version of S, using substitutions from args and kwargs.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.format_map" title="sup3r.utilities.ModuleName.format_map"><code class="xref py py-obj docutils literal notranslate"><span class="pre">format_map</span></code></a>(mapping)</p></td>
+<td><p>Return a formatted version of S, using substitutions from mapping.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.maketrans" title="sup3r.utilities.ModuleName.maketrans"><code class="xref py py-obj docutils literal notranslate"><span class="pre">maketrans</span></code></a></p></td>
+<td><p>Return a translation table usable for str.translate().</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.ModuleName.all_names" title="sup3r.utilities.ModuleName.all_names"><code class="xref py py-obj docutils literal notranslate"><span class="pre">all_names</span></code></a>()</p></td>
+<td><p>All module names.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">FORWARD_PASS</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">DATA_EXTRACT</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">DATA_COLLECT</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">QA</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">SOLAR</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">STATS</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">BIAS_CALC</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">VISUAL_QA</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">REGRID</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.all_names">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">all_names</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities.html#ModuleName.all_names"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.ModuleName.all_names" title="Link to this definition">#</a></dt>
+<dd><p>All module names.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><em>set</em> – The set of all module name strings.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.encode">
+<span class="sig-name descname"><span class="pre">encode</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">encoding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'utf-8'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">errors</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'strict'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.encode" title="Link to this definition">#</a></dt>
+<dd><p>Encode the string using the codec registered for encoding.</p>
+<dl class="simple">
+<dt>encoding</dt><dd><p>The encoding in which to encode the string.</p>
+</dd>
+<dt>errors</dt><dd><p>The error handling scheme to use for encoding errors.
+The default is ‘strict’ meaning that encoding errors raise a
+UnicodeEncodeError.  Other possible values are ‘ignore’, ‘replace’ and
+‘xmlcharrefreplace’ as well as any other name registered with
+codecs.register_error that can handle UnicodeEncodeErrors.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.replace">
+<span class="sig-name descname"><span class="pre">replace</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">old</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">count</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.replace" title="Link to this definition">#</a></dt>
+<dd><p>Return a copy with all occurrences of substring old replaced by new.</p>
+<blockquote>
+<div><dl class="simple">
+<dt>count</dt><dd><p>Maximum number of occurrences to replace.
+-1 (the default value) means replace all occurrences.</p>
+</dd>
+</dl>
+</div></blockquote>
+<p>If the optional argument count is given, only the first count occurrences are
+replaced.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.split">
+<span class="sig-name descname"><span class="pre">split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maxsplit</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.split" title="Link to this definition">#</a></dt>
+<dd><p>Return a list of the substrings in the string, using sep as the separator string.</p>
+<blockquote>
+<div><dl>
+<dt>sep</dt><dd><p>The separator used to split the string.</p>
+<p>When set to None (the default value), will split on any whitespace
+character (including \n \r \t \f and spaces) and will discard
+empty strings from the result.</p>
+</dd>
+<dt>maxsplit</dt><dd><p>Maximum number of splits (starting from the left).
+-1 (the default value) means no limit.</p>
+</dd>
+</dl>
+</div></blockquote>
+<p>Note, str.split() is mainly useful for data that has been intentionally
+delimited.  With natural text that includes punctuation, consider using
+the regular expression module.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.rsplit">
+<span class="sig-name descname"><span class="pre">rsplit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sep</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maxsplit</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.rsplit" title="Link to this definition">#</a></dt>
+<dd><p>Return a list of the substrings in the string, using sep as the separator string.</p>
+<blockquote>
+<div><dl>
+<dt>sep</dt><dd><p>The separator used to split the string.</p>
+<p>When set to None (the default value), will split on any whitespace
+character (including \n \r \t \f and spaces) and will discard
+empty strings from the result.</p>
+</dd>
+<dt>maxsplit</dt><dd><p>Maximum number of splits (starting from the left).
+-1 (the default value) means no limit.</p>
+</dd>
+</dl>
+</div></blockquote>
+<p>Splitting starts at the end of the string and works to the front.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.join">
+<span class="sig-name descname"><span class="pre">join</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">iterable</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.join" title="Link to this definition">#</a></dt>
+<dd><p>Concatenate any number of strings.</p>
+<p>The string whose method is called is inserted in between each given string.
+The result is returned as a new string.</p>
+<p>Example: ‘.’.join([‘ab’, ‘pq’, ‘rs’]) -&gt; ‘ab.pq.rs’</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.capitalize">
+<span class="sig-name descname"><span class="pre">capitalize</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.capitalize" title="Link to this definition">#</a></dt>
+<dd><p>Return a capitalized version of the string.</p>
+<p>More specifically, make the first character have upper case and the rest lower
+case.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.casefold">
+<span class="sig-name descname"><span class="pre">casefold</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.casefold" title="Link to this definition">#</a></dt>
+<dd><p>Return a version of the string suitable for caseless comparisons.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.title">
+<span class="sig-name descname"><span class="pre">title</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.title" title="Link to this definition">#</a></dt>
+<dd><p>Return a version of the string where each word is titlecased.</p>
+<p>More specifically, words start with uppercased characters and all remaining
+cased characters have lower case.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.center">
+<span class="sig-name descname"><span class="pre">center</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">width</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fillchar</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.center" title="Link to this definition">#</a></dt>
+<dd><p>Return a centered string of length width.</p>
+<p>Padding is done using the specified fill character (default is a space).</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sub</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">start</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">end</span></span></em><span class="optional">]</span><span class="optional">]</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></span><a class="headerlink" href="#sup3r.utilities.ModuleName.count" title="Link to this definition">#</a></dt>
+<dd><p>Return the number of non-overlapping occurrences of substring sub in
+string S[start:end].  Optional arguments start and end are
+interpreted as in slice notation.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.expandtabs">
+<span class="sig-name descname"><span class="pre">expandtabs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tabsize</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.expandtabs" title="Link to this definition">#</a></dt>
+<dd><p>Return a copy where all tab characters are expanded using spaces.</p>
+<p>If tabsize is not given, a tab size of 8 characters is assumed.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.find">
+<span class="sig-name descname"><span class="pre">find</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sub</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">start</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">end</span></span></em><span class="optional">]</span><span class="optional">]</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></span><a class="headerlink" href="#sup3r.utilities.ModuleName.find" title="Link to this definition">#</a></dt>
+<dd><p>Return the lowest index in S where substring sub is found,
+such that sub is contained within S[start:end].  Optional
+arguments start and end are interpreted as in slice notation.</p>
+<p>Return -1 on failure.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.partition">
+<span class="sig-name descname"><span class="pre">partition</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sep</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.partition" title="Link to this definition">#</a></dt>
+<dd><p>Partition the string into three parts using the given separator.</p>
+<p>This will search for the separator in the string.  If the separator is found,
+returns a 3-tuple containing the part before the separator, the separator
+itself, and the part after it.</p>
+<p>If the separator is not found, returns a 3-tuple containing the original string
+and two empty strings.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sub</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">start</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">end</span></span></em><span class="optional">]</span><span class="optional">]</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></span><a class="headerlink" href="#sup3r.utilities.ModuleName.index" title="Link to this definition">#</a></dt>
+<dd><p>Return the lowest index in S where substring sub is found,
+such that sub is contained within S[start:end].  Optional
+arguments start and end are interpreted as in slice notation.</p>
+<p>Raises ValueError when the substring is not found.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.ljust">
+<span class="sig-name descname"><span class="pre">ljust</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">width</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fillchar</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.ljust" title="Link to this definition">#</a></dt>
+<dd><p>Return a left-justified string of length width.</p>
+<p>Padding is done using the specified fill character (default is a space).</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.lower">
+<span class="sig-name descname"><span class="pre">lower</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.lower" title="Link to this definition">#</a></dt>
+<dd><p>Return a copy of the string converted to lowercase.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.lstrip">
+<span class="sig-name descname"><span class="pre">lstrip</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">chars</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.lstrip" title="Link to this definition">#</a></dt>
+<dd><p>Return a copy of the string with leading whitespace removed.</p>
+<p>If chars is given and not None, remove characters in chars instead.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.rfind">
+<span class="sig-name descname"><span class="pre">rfind</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sub</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">start</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">end</span></span></em><span class="optional">]</span><span class="optional">]</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></span><a class="headerlink" href="#sup3r.utilities.ModuleName.rfind" title="Link to this definition">#</a></dt>
+<dd><p>Return the highest index in S where substring sub is found,
+such that sub is contained within S[start:end].  Optional
+arguments start and end are interpreted as in slice notation.</p>
+<p>Return -1 on failure.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.rindex">
+<span class="sig-name descname"><span class="pre">rindex</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sub</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">start</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">end</span></span></em><span class="optional">]</span><span class="optional">]</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></span><a class="headerlink" href="#sup3r.utilities.ModuleName.rindex" title="Link to this definition">#</a></dt>
+<dd><p>Return the highest index in S where substring sub is found,
+such that sub is contained within S[start:end].  Optional
+arguments start and end are interpreted as in slice notation.</p>
+<p>Raises ValueError when the substring is not found.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.rjust">
+<span class="sig-name descname"><span class="pre">rjust</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">width</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fillchar</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.rjust" title="Link to this definition">#</a></dt>
+<dd><p>Return a right-justified string of length width.</p>
+<p>Padding is done using the specified fill character (default is a space).</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.rstrip">
+<span class="sig-name descname"><span class="pre">rstrip</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">chars</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.rstrip" title="Link to this definition">#</a></dt>
+<dd><p>Return a copy of the string with trailing whitespace removed.</p>
+<p>If chars is given and not None, remove characters in chars instead.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.rpartition">
+<span class="sig-name descname"><span class="pre">rpartition</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sep</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.rpartition" title="Link to this definition">#</a></dt>
+<dd><p>Partition the string into three parts using the given separator.</p>
+<p>This will search for the separator in the string, starting at the end. If
+the separator is found, returns a 3-tuple containing the part before the
+separator, the separator itself, and the part after it.</p>
+<p>If the separator is not found, returns a 3-tuple containing two empty strings
+and the original string.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.splitlines">
+<span class="sig-name descname"><span class="pre">splitlines</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">keepends</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.splitlines" title="Link to this definition">#</a></dt>
+<dd><p>Return a list of the lines in the string, breaking at line boundaries.</p>
+<p>Line breaks are not included in the resulting list unless keepends is given and
+true.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.strip">
+<span class="sig-name descname"><span class="pre">strip</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">chars</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.strip" title="Link to this definition">#</a></dt>
+<dd><p>Return a copy of the string with leading and trailing whitespace removed.</p>
+<p>If chars is given and not None, remove characters in chars instead.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.swapcase">
+<span class="sig-name descname"><span class="pre">swapcase</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.swapcase" title="Link to this definition">#</a></dt>
+<dd><p>Convert uppercase characters to lowercase and lowercase characters to uppercase.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.translate">
+<span class="sig-name descname"><span class="pre">translate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">table</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.translate" title="Link to this definition">#</a></dt>
+<dd><p>Replace each character in the string using the given translation table.</p>
+<blockquote>
+<div><dl class="simple">
+<dt>table</dt><dd><p>Translation table, which must be a mapping of Unicode ordinals to
+Unicode ordinals, strings, or None.</p>
+</dd>
+</dl>
+</div></blockquote>
+<p>The table must implement lookup/indexing via __getitem__, for instance a
+dictionary or list.  If this operation raises LookupError, the character is
+left untouched.  Characters mapped to None are deleted.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.upper">
+<span class="sig-name descname"><span class="pre">upper</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.upper" title="Link to this definition">#</a></dt>
+<dd><p>Return a copy of the string converted to uppercase.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.startswith">
+<span class="sig-name descname"><span class="pre">startswith</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prefix</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">start</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">end</span></span></em><span class="optional">]</span><span class="optional">]</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span></span><a class="headerlink" href="#sup3r.utilities.ModuleName.startswith" title="Link to this definition">#</a></dt>
+<dd><p>Return True if S starts with the specified prefix, False otherwise.
+With optional start, test S beginning at that position.
+With optional end, stop comparing S at that position.
+prefix can also be a tuple of strings to try.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.endswith">
+<span class="sig-name descname"><span class="pre">endswith</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">suffix</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">start</span></span></em><span class="optional">[</span>, <em class="sig-param"><span class="n"><span class="pre">end</span></span></em><span class="optional">]</span><span class="optional">]</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span></span><a class="headerlink" href="#sup3r.utilities.ModuleName.endswith" title="Link to this definition">#</a></dt>
+<dd><p>Return True if S ends with the specified suffix, False otherwise.
+With optional start, test S beginning at that position.
+With optional end, stop comparing S at that position.
+suffix can also be a tuple of strings to try.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.removeprefix">
+<span class="sig-name descname"><span class="pre">removeprefix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prefix</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.removeprefix" title="Link to this definition">#</a></dt>
+<dd><p>Return a str with the given prefix string removed if present.</p>
+<p>If the string starts with the prefix string, return string[len(prefix):].
+Otherwise, return a copy of the original string.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.removesuffix">
+<span class="sig-name descname"><span class="pre">removesuffix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">suffix</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.removesuffix" title="Link to this definition">#</a></dt>
+<dd><p>Return a str with the given suffix string removed if present.</p>
+<p>If the string ends with the suffix string and that suffix is not empty,
+return string[:-len(suffix)]. Otherwise, return a copy of the original
+string.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.isascii">
+<span class="sig-name descname"><span class="pre">isascii</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.isascii" title="Link to this definition">#</a></dt>
+<dd><p>Return True if all characters in the string are ASCII, False otherwise.</p>
+<p>ASCII characters have code points in the range U+0000-U+007F.
+Empty string is ASCII too.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.islower">
+<span class="sig-name descname"><span class="pre">islower</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.islower" title="Link to this definition">#</a></dt>
+<dd><p>Return True if the string is a lowercase string, False otherwise.</p>
+<p>A string is lowercase if all cased characters in the string are lowercase and
+there is at least one cased character in the string.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.isupper">
+<span class="sig-name descname"><span class="pre">isupper</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.isupper" title="Link to this definition">#</a></dt>
+<dd><p>Return True if the string is an uppercase string, False otherwise.</p>
+<p>A string is uppercase if all cased characters in the string are uppercase and
+there is at least one cased character in the string.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.istitle">
+<span class="sig-name descname"><span class="pre">istitle</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.istitle" title="Link to this definition">#</a></dt>
+<dd><p>Return True if the string is a title-cased string, False otherwise.</p>
+<p>In a title-cased string, upper- and title-case characters may only
+follow uncased characters and lowercase characters only cased ones.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.isspace">
+<span class="sig-name descname"><span class="pre">isspace</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.isspace" title="Link to this definition">#</a></dt>
+<dd><p>Return True if the string is a whitespace string, False otherwise.</p>
+<p>A string is whitespace if all characters in the string are whitespace and there
+is at least one character in the string.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.isdecimal">
+<span class="sig-name descname"><span class="pre">isdecimal</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.isdecimal" title="Link to this definition">#</a></dt>
+<dd><p>Return True if the string is a decimal string, False otherwise.</p>
+<p>A string is a decimal string if all characters in the string are decimal and
+there is at least one character in the string.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.isdigit">
+<span class="sig-name descname"><span class="pre">isdigit</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.isdigit" title="Link to this definition">#</a></dt>
+<dd><p>Return True if the string is a digit string, False otherwise.</p>
+<p>A string is a digit string if all characters in the string are digits and there
+is at least one character in the string.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.isnumeric">
+<span class="sig-name descname"><span class="pre">isnumeric</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.isnumeric" title="Link to this definition">#</a></dt>
+<dd><p>Return True if the string is a numeric string, False otherwise.</p>
+<p>A string is numeric if all characters in the string are numeric and there is at
+least one character in the string.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.isalpha">
+<span class="sig-name descname"><span class="pre">isalpha</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.isalpha" title="Link to this definition">#</a></dt>
+<dd><p>Return True if the string is an alphabetic string, False otherwise.</p>
+<p>A string is alphabetic if all characters in the string are alphabetic and there
+is at least one character in the string.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.isalnum">
+<span class="sig-name descname"><span class="pre">isalnum</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.isalnum" title="Link to this definition">#</a></dt>
+<dd><p>Return True if the string is an alpha-numeric string, False otherwise.</p>
+<p>A string is alpha-numeric if all characters in the string are alpha-numeric and
+there is at least one character in the string.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.isidentifier">
+<span class="sig-name descname"><span class="pre">isidentifier</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.isidentifier" title="Link to this definition">#</a></dt>
+<dd><p>Return True if the string is a valid Python identifier, False otherwise.</p>
+<p>Call keyword.iskeyword(s) to test whether string s is a reserved identifier,
+such as “def” or “class”.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.isprintable">
+<span class="sig-name descname"><span class="pre">isprintable</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.isprintable" title="Link to this definition">#</a></dt>
+<dd><p>Return True if the string is printable, False otherwise.</p>
+<p>A string is printable if all of its characters are considered printable in
+repr() or if it is empty.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.zfill">
+<span class="sig-name descname"><span class="pre">zfill</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">width</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.zfill" title="Link to this definition">#</a></dt>
+<dd><p>Pad a numeric string with zeros on the left, to fill a field of the given width.</p>
+<p>The string is never truncated.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.format">
+<span class="sig-name descname"><span class="pre">format</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span></span><a class="headerlink" href="#sup3r.utilities.ModuleName.format" title="Link to this definition">#</a></dt>
+<dd><p>Return a formatted version of S, using substitutions from args and kwargs.
+The substitutions are identified by braces (‘{’ and ‘}’).</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.format_map">
+<span class="sig-name descname"><span class="pre">format_map</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mapping</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span></span><a class="headerlink" href="#sup3r.utilities.ModuleName.format_map" title="Link to this definition">#</a></dt>
+<dd><p>Return a formatted version of S, using substitutions from mapping.
+The substitutions are identified by braces (‘{’ and ‘}’).</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.ModuleName.maketrans">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">maketrans</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.ModuleName.maketrans" title="Link to this definition">#</a></dt>
+<dd><p>Return a translation table usable for str.translate().</p>
+<p>If there is only one argument, it must be a dictionary mapping Unicode
+ordinals (integers) or characters to Unicode ordinals, strings or None.
+Character keys will be then converted to ordinals.
+If there are two arguments, they must be strings of equal length, and
+in the resulting dictionary, each character in x will be mapped to the
+character at the same position in y. If there is a third argument, it
+must be a string, whose characters will be mapped to None in the result.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName"><code class="docutils literal notranslate"><span class="pre">ModuleName</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.all_names"><code class="docutils literal notranslate"><span class="pre">ModuleName.all_names()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.__add__"><code class="docutils literal notranslate"><span class="pre">ModuleName.__add__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.__mul__"><code class="docutils literal notranslate"><span class="pre">ModuleName.__mul__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.encode"><code class="docutils literal notranslate"><span class="pre">ModuleName.encode()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.replace"><code class="docutils literal notranslate"><span class="pre">ModuleName.replace()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.split"><code class="docutils literal notranslate"><span class="pre">ModuleName.split()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.rsplit"><code class="docutils literal notranslate"><span class="pre">ModuleName.rsplit()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.join"><code class="docutils literal notranslate"><span class="pre">ModuleName.join()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.capitalize"><code class="docutils literal notranslate"><span class="pre">ModuleName.capitalize()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.casefold"><code class="docutils literal notranslate"><span class="pre">ModuleName.casefold()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.title"><code class="docutils literal notranslate"><span class="pre">ModuleName.title()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.center"><code class="docutils literal notranslate"><span class="pre">ModuleName.center()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.count"><code class="docutils literal notranslate"><span class="pre">ModuleName.count()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.expandtabs"><code class="docutils literal notranslate"><span class="pre">ModuleName.expandtabs()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.find"><code class="docutils literal notranslate"><span class="pre">ModuleName.find()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.partition"><code class="docutils literal notranslate"><span class="pre">ModuleName.partition()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.index"><code class="docutils literal notranslate"><span class="pre">ModuleName.index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.ljust"><code class="docutils literal notranslate"><span class="pre">ModuleName.ljust()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.lower"><code class="docutils literal notranslate"><span class="pre">ModuleName.lower()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.lstrip"><code class="docutils literal notranslate"><span class="pre">ModuleName.lstrip()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.rfind"><code class="docutils literal notranslate"><span class="pre">ModuleName.rfind()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.rindex"><code class="docutils literal notranslate"><span class="pre">ModuleName.rindex()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.rjust"><code class="docutils literal notranslate"><span class="pre">ModuleName.rjust()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.rstrip"><code class="docutils literal notranslate"><span class="pre">ModuleName.rstrip()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.rpartition"><code class="docutils literal notranslate"><span class="pre">ModuleName.rpartition()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.splitlines"><code class="docutils literal notranslate"><span class="pre">ModuleName.splitlines()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.strip"><code class="docutils literal notranslate"><span class="pre">ModuleName.strip()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.swapcase"><code class="docutils literal notranslate"><span class="pre">ModuleName.swapcase()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.translate"><code class="docutils literal notranslate"><span class="pre">ModuleName.translate()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.upper"><code class="docutils literal notranslate"><span class="pre">ModuleName.upper()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.startswith"><code class="docutils literal notranslate"><span class="pre">ModuleName.startswith()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.endswith"><code class="docutils literal notranslate"><span class="pre">ModuleName.endswith()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.removeprefix"><code class="docutils literal notranslate"><span class="pre">ModuleName.removeprefix()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.removesuffix"><code class="docutils literal notranslate"><span class="pre">ModuleName.removesuffix()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.isascii"><code class="docutils literal notranslate"><span class="pre">ModuleName.isascii()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.islower"><code class="docutils literal notranslate"><span class="pre">ModuleName.islower()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.isupper"><code class="docutils literal notranslate"><span class="pre">ModuleName.isupper()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.istitle"><code class="docutils literal notranslate"><span class="pre">ModuleName.istitle()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.isspace"><code class="docutils literal notranslate"><span class="pre">ModuleName.isspace()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.isdecimal"><code class="docutils literal notranslate"><span class="pre">ModuleName.isdecimal()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.isdigit"><code class="docutils literal notranslate"><span class="pre">ModuleName.isdigit()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.isnumeric"><code class="docutils literal notranslate"><span class="pre">ModuleName.isnumeric()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.isalpha"><code class="docutils literal notranslate"><span class="pre">ModuleName.isalpha()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.isalnum"><code class="docutils literal notranslate"><span class="pre">ModuleName.isalnum()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.isidentifier"><code class="docutils literal notranslate"><span class="pre">ModuleName.isidentifier()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.isprintable"><code class="docutils literal notranslate"><span class="pre">ModuleName.isprintable()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.zfill"><code class="docutils literal notranslate"><span class="pre">ModuleName.zfill()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.format"><code class="docutils literal notranslate"><span class="pre">ModuleName.format()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.format_map"><code class="docutils literal notranslate"><span class="pre">ModuleName.format_map()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.ModuleName.maketrans"><code class="docutils literal notranslate"><span class="pre">ModuleName.maketrans()</span></code></a></li>
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+                <h2> Contents </h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.BaseCLI"><code class="docutils literal notranslate"><span class="pre">BaseCLI</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.BaseCLI.from_config"><code class="docutils literal notranslate"><span class="pre">BaseCLI.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.BaseCLI.from_config_preflight"><code class="docutils literal notranslate"><span class="pre">BaseCLI.from_config_preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.BaseCLI.check_module_name"><code class="docutils literal notranslate"><span class="pre">BaseCLI.check_module_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.BaseCLI.kickoff_slurm_job"><code class="docutils literal notranslate"><span class="pre">BaseCLI.kickoff_slurm_job()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.BaseCLI.kickoff_local_job"><code class="docutils literal notranslate"><span class="pre">BaseCLI.kickoff_local_job()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.BaseCLI.add_status_cmd"><code class="docutils literal notranslate"><span class="pre">BaseCLI.add_status_cmd()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-utilities-cli-basecli">
+<h1>sup3r.utilities.cli.BaseCLI<a class="headerlink" href="#sup3r-utilities-cli-basecli" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.BaseCLI">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">BaseCLI</span></span><a class="reference internal" href="../_modules/sup3r/utilities/cli.html#BaseCLI"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.cli.BaseCLI" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<p>Base CLI class used to create CLI for modules in ModuleName</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.cli.BaseCLI.add_status_cmd" title="sup3r.utilities.cli.BaseCLI.add_status_cmd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">add_status_cmd</span></code></a>(config, pipeline_step, cmd)</p></td>
+<td><p>Append status file command to command for executing given module</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.cli.BaseCLI.check_module_name" title="sup3r.utilities.cli.BaseCLI.check_module_name"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_module_name</span></code></a>(module_name)</p></td>
+<td><p>Make sure module_name is a valid member of the ModuleName class</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.cli.BaseCLI.from_config" title="sup3r.utilities.cli.BaseCLI.from_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_config</span></code></a>(module_name, module_class, ctx, ...)</p></td>
+<td><p>Run sup3r module from a config file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.cli.BaseCLI.from_config_preflight" title="sup3r.utilities.cli.BaseCLI.from_config_preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_config_preflight</span></code></a>(module_name, ctx, ...)</p></td>
+<td><p>Parse conifg file prior to running sup3r module.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.cli.BaseCLI.kickoff_local_job" title="sup3r.utilities.cli.BaseCLI.kickoff_local_job"><code class="xref py py-obj docutils literal notranslate"><span class="pre">kickoff_local_job</span></code></a>(module_name, ctx, cmd[, ...])</p></td>
+<td><p>Run sup3r module locally.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.cli.BaseCLI.kickoff_slurm_job" title="sup3r.utilities.cli.BaseCLI.kickoff_slurm_job"><code class="xref py py-obj docutils literal notranslate"><span class="pre">kickoff_slurm_job</span></code></a>(module_name, ctx, cmd[, ...])</p></td>
+<td><p>Run sup3r module on HPC via SLURM job submission.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.BaseCLI.from_config">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">module_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">module_class</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ctx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pipeline_step</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/cli.html#BaseCLI.from_config"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.cli.BaseCLI.from_config" title="Link to this definition">#</a></dt>
+<dd><p>Run sup3r module from a config file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>module_name</strong> (<em>str</em>) – Module name string from <a class="reference internal" href="sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName" title="sup3r.utilities.ModuleName"><code class="xref py py-class docutils literal notranslate"><span class="pre">sup3r.utilities.ModuleName</span></code></a>.</p></li>
+<li><p><strong>module_class</strong> (<em>Object</em>) – Class object used to call get_node_cmd(config).
+e.g. Sup3rQa.get_node_cmd(config)</p></li>
+<li><p><strong>ctx</strong> (<em>click.pass_context</em>) – Click context object where ctx.obj is a dictionary</p></li>
+<li><p><strong>config_file</strong> (<em>str</em>) – Path to config file provided all needed inputs to module_class</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Whether to run in verbose mode.</p></li>
+<li><p><strong>pipeline_step</strong> (<em>str, optional</em>) – Name of the pipeline step being run. If <code class="docutils literal notranslate"><span class="pre">None</span></code>, the
+<code class="docutils literal notranslate"><span class="pre">pipeline_step</span></code> will be set to the <code class="docutils literal notranslate"><span class="pre">module_name</span></code>,
+mimicking old reV behavior. By default, <code class="docutils literal notranslate"><span class="pre">None</span></code>.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.BaseCLI.from_config_preflight">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_config_preflight</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">module_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ctx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/cli.html#BaseCLI.from_config_preflight"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.cli.BaseCLI.from_config_preflight" title="Link to this definition">#</a></dt>
+<dd><p>Parse conifg file prior to running sup3r module.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>module_name</strong> (<em>str</em>) – Module name string from <a class="reference internal" href="sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName" title="sup3r.utilities.ModuleName"><code class="xref py py-class docutils literal notranslate"><span class="pre">sup3r.utilities.ModuleName</span></code></a>.</p></li>
+<li><p><strong>module_class</strong> (<em>Object</em>) – Class object used to call get_node_cmd(config).
+e.g. Sup3rQa.get_node_cmd(config)</p></li>
+<li><p><strong>ctx</strong> (<em>click.pass_context</em>) – Click context object where ctx.obj is a dictionary</p></li>
+<li><p><strong>config_file</strong> (<em>str</em>) – Path to config file provided all needed inputs to module_class</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Whether to run in verbose mode.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>config</strong> (<em>dict</em>) – Dictionary corresponding to config_file</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.BaseCLI.check_module_name">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">check_module_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">module_name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/cli.html#BaseCLI.check_module_name"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.cli.BaseCLI.check_module_name" title="Link to this definition">#</a></dt>
+<dd><p>Make sure module_name is a valid member of the ModuleName class</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.BaseCLI.kickoff_slurm_job">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">kickoff_slurm_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">module_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ctx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cmd</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alloc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sup3r'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">memory</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">walltime</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stdout_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'./stdout/'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pipeline_step</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/cli.html#BaseCLI.kickoff_slurm_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.cli.BaseCLI.kickoff_slurm_job" title="Link to this definition">#</a></dt>
+<dd><p>Run sup3r module on HPC via SLURM job submission.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>module_name</strong> (<em>str</em>) – Module name string from <a class="reference internal" href="sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName" title="sup3r.utilities.ModuleName"><code class="xref py py-class docutils literal notranslate"><span class="pre">sup3r.utilities.ModuleName</span></code></a>.</p></li>
+<li><p><strong>ctx</strong> (<em>click.pass_context</em>) – Click context object where ctx.obj is a dictionary</p></li>
+<li><p><strong>cmd</strong> (<em>str</em>) –</p>
+<dl class="simple">
+<dt>Command to be submitted in SLURM shell script. Example:</dt><dd><p>‘python -m sup3r.cli &lt;module_name&gt; -c &lt;config_file&gt;’</p>
+</dd>
+</dl>
+</li>
+<li><p><strong>alloc</strong> (<em>str</em>) – HPC project (allocation) handle. Example: ‘sup3r’.</p></li>
+<li><p><strong>memory</strong> (<em>int</em>) – Node memory request in GB.</p></li>
+<li><p><strong>walltime</strong> (<em>float</em>) – Node walltime request in hours.</p></li>
+<li><p><strong>feature</strong> (<em>str</em>) – Additional flags for SLURM job. Format is “–qos=high”
+or “–depend=[state:job_id]”. Default is None.</p></li>
+<li><p><strong>stdout_path</strong> (<em>str</em>) – Path to print .stdout and .stderr files.</p></li>
+<li><p><strong>pipeline_step</strong> (<em>str, optional</em>) – Name of the pipeline step being run. If <code class="docutils literal notranslate"><span class="pre">None</span></code>, the
+<code class="docutils literal notranslate"><span class="pre">pipeline_step</span></code> will be set to the <code class="docutils literal notranslate"><span class="pre">module_name</span></code>,
+mimicking old reV behavior. By default, <code class="docutils literal notranslate"><span class="pre">None</span></code>.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.BaseCLI.kickoff_local_job">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">kickoff_local_job</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">module_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ctx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cmd</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pipeline_step</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/cli.html#BaseCLI.kickoff_local_job"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.cli.BaseCLI.kickoff_local_job" title="Link to this definition">#</a></dt>
+<dd><p>Run sup3r module locally.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>module_name</strong> (<em>str</em>) – Module name string from <a class="reference internal" href="sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName" title="sup3r.utilities.ModuleName"><code class="xref py py-class docutils literal notranslate"><span class="pre">sup3r.utilities.ModuleName</span></code></a>.</p></li>
+<li><p><strong>ctx</strong> (<em>click.pass_context</em>) – Click context object where ctx.obj is a dictionary</p></li>
+<li><p><strong>cmd</strong> (<em>str</em>) –</p>
+<dl class="simple">
+<dt>Command to be submitted in shell script. Example:</dt><dd><p>‘python -m sup3r.cli &lt;module_name&gt; -c &lt;config_file&gt;’</p>
+</dd>
+</dl>
+</li>
+<li><p><strong>pipeline_step</strong> (<em>str, optional</em>) – Name of the pipeline step being run. If <code class="docutils literal notranslate"><span class="pre">None</span></code>, the
+<code class="docutils literal notranslate"><span class="pre">pipeline_step</span></code> will be set to the <code class="docutils literal notranslate"><span class="pre">module_name</span></code>,
+mimicking old reV behavior. By default, <code class="docutils literal notranslate"><span class="pre">None</span></code>.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.BaseCLI.add_status_cmd">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">add_status_cmd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pipeline_step</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cmd</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/cli.html#BaseCLI.add_status_cmd"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.cli.BaseCLI.add_status_cmd" title="Link to this definition">#</a></dt>
+<dd><p>Append status file command to command for executing given module</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>config</strong> (<em>dict</em>) – sup3r config with all necessary args and kwargs to run given
+module.</p></li>
+<li><p><strong>pipeline_step</strong> (<em>str</em>) – Name of the pipeline step being run.</p></li>
+<li><p><strong>cmd</strong> (<em>str</em>) – String including command to execute given module.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>cmd</strong> (<em>str</em>) – Command string with status file command included if job_name is
+not None</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
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+    <i class="fa-solid fa-list"></i> Contents
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.BaseCLI"><code class="docutils literal notranslate"><span class="pre">BaseCLI</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.BaseCLI.from_config"><code class="docutils literal notranslate"><span class="pre">BaseCLI.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.BaseCLI.from_config_preflight"><code class="docutils literal notranslate"><span class="pre">BaseCLI.from_config_preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.BaseCLI.check_module_name"><code class="docutils literal notranslate"><span class="pre">BaseCLI.check_module_name()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.BaseCLI.kickoff_slurm_job"><code class="docutils literal notranslate"><span class="pre">BaseCLI.kickoff_slurm_job()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.BaseCLI.kickoff_local_job"><code class="docutils literal notranslate"><span class="pre">BaseCLI.kickoff_local_job()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.BaseCLI.add_status_cmd"><code class="docutils literal notranslate"><span class="pre">BaseCLI.add_status_cmd()</span></code></a></li>
+</ul>
+</li>
+</ul>
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+By Brandon Benton, Grant Buster, Andrew Glaws, Ryan King
+</p>
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+    <h1>sup3r.utilities.cli.SlurmManager</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager"><code class="docutils literal notranslate"><span class="pre">SlurmManager</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.check_status_using_job_id"><code class="docutils literal notranslate"><span class="pre">SlurmManager.check_status_using_job_id()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.change_qos"><code class="docutils literal notranslate"><span class="pre">SlurmManager.change_qos()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.check_status"><code class="docutils literal notranslate"><span class="pre">SlurmManager.check_status()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.format_walltime"><code class="docutils literal notranslate"><span class="pre">SlurmManager.format_walltime()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.hold"><code class="docutils literal notranslate"><span class="pre">SlurmManager.hold()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.make_path"><code class="docutils literal notranslate"><span class="pre">SlurmManager.make_path()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.make_sh"><code class="docutils literal notranslate"><span class="pre">SlurmManager.make_sh()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.parse_queue_str"><code class="docutils literal notranslate"><span class="pre">SlurmManager.parse_queue_str()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.query_queue"><code class="docutils literal notranslate"><span class="pre">SlurmManager.query_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.queue"><code class="docutils literal notranslate"><span class="pre">SlurmManager.queue</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.queue_job_ids"><code class="docutils literal notranslate"><span class="pre">SlurmManager.queue_job_ids</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.queue_job_names"><code class="docutils literal notranslate"><span class="pre">SlurmManager.queue_job_names</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.release"><code class="docutils literal notranslate"><span class="pre">SlurmManager.release()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.rm"><code class="docutils literal notranslate"><span class="pre">SlurmManager.rm()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.s"><code class="docutils literal notranslate"><span class="pre">SlurmManager.s()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.sbatch"><code class="docutils literal notranslate"><span class="pre">SlurmManager.sbatch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.scancel"><code class="docutils literal notranslate"><span class="pre">SlurmManager.scancel()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.scontrol"><code class="docutils literal notranslate"><span class="pre">SlurmManager.scontrol()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.submit"><code class="docutils literal notranslate"><span class="pre">SlurmManager.submit()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
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+    </div>
+</div>
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+              
+                
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+                <article class="bd-article">
+                  
+  <section id="sup3r-utilities-cli-slurmmanager">
+<h1>sup3r.utilities.cli.SlurmManager<a class="headerlink" href="#sup3r-utilities-cli-slurmmanager" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.SlurmManager">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">SlurmManager</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">queue_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/cli.html#SlurmManager"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.cli.SlurmManager" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">SLURM</span></code></p>
+<p>GAPs-compliant SLURM manager</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>user</strong> (<em>str | None</em>) – HPC username. None will get your username using getpass.getuser()</p></li>
+<li><p><strong>queue_dict</strong> (<em>dict | None</em>) – Parsed HPC queue dictionary (qstat for PBS or squeue for SLURM)
+from parse_queue_str(). None will get the queue from PBS or SLURM.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.cli.SlurmManager.change_qos" title="sup3r.utilities.cli.SlurmManager.change_qos"><code class="xref py py-obj docutils literal notranslate"><span class="pre">change_qos</span></code></a>(arg, qos)</p></td>
+<td><p>Change the priority (quality of service) for a job.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.cli.SlurmManager.check_status" title="sup3r.utilities.cli.SlurmManager.check_status"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_status</span></code></a>([job_id, job_name])</p></td>
+<td><p>Check the status of an HPC job using the HPC queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.cli.SlurmManager.check_status_using_job_id" title="sup3r.utilities.cli.SlurmManager.check_status_using_job_id"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_status_using_job_id</span></code></a>(job_id)</p></td>
+<td><p>Check the status of a job using the HPC queue and job ID.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.cli.SlurmManager.format_walltime" title="sup3r.utilities.cli.SlurmManager.format_walltime"><code class="xref py py-obj docutils literal notranslate"><span class="pre">format_walltime</span></code></a>(hours)</p></td>
+<td><p>Get the SLURM walltime string in format &quot;HH:MM:SS&quot;</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.cli.SlurmManager.hold" title="sup3r.utilities.cli.SlurmManager.hold"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hold</span></code></a>(arg)</p></td>
+<td><p>Temporarily hold a job from submitting.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.cli.SlurmManager.make_path" title="sup3r.utilities.cli.SlurmManager.make_path"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_path</span></code></a>(d)</p></td>
+<td><p>Make a directory tree if it doesn't exist.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.cli.SlurmManager.make_sh" title="sup3r.utilities.cli.SlurmManager.make_sh"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_sh</span></code></a>(fname, script)</p></td>
+<td><p>Make a shell script (.sh file) to execute a subprocess.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.cli.SlurmManager.parse_queue_str" title="sup3r.utilities.cli.SlurmManager.parse_queue_str"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parse_queue_str</span></code></a>(queue_str[, keys])</p></td>
+<td><p>Parse the qstat or squeue output string into a dict format keyed by integer job id with nested dictionary of job properties (queue printout columns).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.cli.SlurmManager.query_queue" title="sup3r.utilities.cli.SlurmManager.query_queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">query_queue</span></code></a>([job_name, user, qformat, skip_rows])</p></td>
+<td><p>Run the HPC queue command and return the raw stdout string.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.cli.SlurmManager.release" title="sup3r.utilities.cli.SlurmManager.release"><code class="xref py py-obj docutils literal notranslate"><span class="pre">release</span></code></a>(arg)</p></td>
+<td><p>Release a job that was previously on hold so it will be submitted to a compute node.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.cli.SlurmManager.rm" title="sup3r.utilities.cli.SlurmManager.rm"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rm</span></code></a>(fname)</p></td>
+<td><p>Remove a file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.cli.SlurmManager.s" title="sup3r.utilities.cli.SlurmManager.s"><code class="xref py py-obj docutils literal notranslate"><span class="pre">s</span></code></a>(s)</p></td>
+<td><p>Format input as str w/ appropriate quote types for python cli entry.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.cli.SlurmManager.sbatch" title="sup3r.utilities.cli.SlurmManager.sbatch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sbatch</span></code></a>(cmd[, alloc, walltime, memory, ...])</p></td>
+<td><p>Submit a SLURM job via sbatch command and SLURM shell script</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.cli.SlurmManager.scancel" title="sup3r.utilities.cli.SlurmManager.scancel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">scancel</span></code></a>(arg)</p></td>
+<td><p>Cancel a slurm job.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.cli.SlurmManager.scontrol" title="sup3r.utilities.cli.SlurmManager.scontrol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">scontrol</span></code></a>(cmd)</p></td>
+<td><p>Submit an scontrol command.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.cli.SlurmManager.submit" title="sup3r.utilities.cli.SlurmManager.submit"><code class="xref py py-obj docutils literal notranslate"><span class="pre">submit</span></code></a>(cmd[, background, background_stdout])</p></td>
+<td><p>Open a subprocess and submit a command.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">MAX_NAME_LEN</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">QCOL_ID</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">QCOL_NAME</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">QCOL_STATUS</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">QSKIP</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">SQ_FORMAT</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">USER</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.cli.SlurmManager.queue" title="sup3r.utilities.cli.SlurmManager.queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue</span></code></a></p></td>
+<td><p>Get the HPC queue parsed into dict format keyed by integer job id</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.cli.SlurmManager.queue_job_ids" title="sup3r.utilities.cli.SlurmManager.queue_job_ids"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_job_ids</span></code></a></p></td>
+<td><p>Get a list of the job integer ids in the queue</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.cli.SlurmManager.queue_job_names" title="sup3r.utilities.cli.SlurmManager.queue_job_names"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_job_names</span></code></a></p></td>
+<td><p>Get a list of the job names in the queue</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.SlurmManager.check_status_using_job_id">
+<span class="sig-name descname"><span class="pre">check_status_using_job_id</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">job_id</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/cli.html#SlurmManager.check_status_using_job_id"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.cli.SlurmManager.check_status_using_job_id" title="Link to this definition">#</a></dt>
+<dd><p>Check the status of a job using the HPC queue and job ID.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>job_id</strong> (<em>int</em>) – Job integer ID number.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>status</strong> (<em>str | None</em>) – Queue job status string or <cite>None</cite> if not found.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.SlurmManager.change_qos">
+<span class="sig-name descname"><span class="pre">change_qos</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">arg</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">qos</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.cli.SlurmManager.change_qos" title="Link to this definition">#</a></dt>
+<dd><p>Change the priority (quality of service) for a job.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>arg</strong> (<em>int | list | str</em>) – SLURM integer job id(s) to change qos for.
+Can be ‘all’ for all jobs.</p></li>
+<li><p><strong>qos</strong> (<em>str</em>) – New qos value</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.SlurmManager.check_status">
+<span class="sig-name descname"><span class="pre">check_status</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">job_id</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">job_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.cli.SlurmManager.check_status" title="Link to this definition">#</a></dt>
+<dd><p>Check the status of an HPC job using the HPC queue.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>job_id</strong> (<em>int | None</em>) – Job integer ID number (preferred input)</p></li>
+<li><p><strong>job_name</strong> (<em>str</em>) – Job name string.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>status</strong> (<em>str | NoneType</em>) – Queue job status str or None if not found.
+SLURM status strings: PD, R, CG (pending, running, complete).
+PBS status strings: Q, R, C (queued, running, complete).</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.SlurmManager.format_walltime">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">format_walltime</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">hours</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.cli.SlurmManager.format_walltime" title="Link to this definition">#</a></dt>
+<dd><p>Get the SLURM walltime string in format “HH:MM:SS”</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>hours</strong> (<em>float | int</em>) – Requested number of job hours.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>walltime</strong> (<em>str</em>) – SLURM walltime request in format “HH:MM:SS”</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.SlurmManager.hold">
+<span class="sig-name descname"><span class="pre">hold</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">arg</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.cli.SlurmManager.hold" title="Link to this definition">#</a></dt>
+<dd><p>Temporarily hold a job from submitting. Held jobs will stay in queue
+but will not get nodes until released.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>arg</strong> (<em>int | list | str</em>) – SLURM integer job id(s) to hold. Can be ‘all’ to hold all jobs.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.SlurmManager.make_path">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">make_path</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">d</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.cli.SlurmManager.make_path" title="Link to this definition">#</a></dt>
+<dd><p>Make a directory tree if it doesn’t exist.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>d</strong> (<em>str</em>) – Directory tree to check and potentially create.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.SlurmManager.make_sh">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">make_sh</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fname</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">script</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.cli.SlurmManager.make_sh" title="Link to this definition">#</a></dt>
+<dd><p>Make a shell script (.sh file) to execute a subprocess.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>fname</strong> (<em>str</em>) – Name of the .sh file to create.</p></li>
+<li><p><strong>script</strong> (<em>str</em>) – Contents to be written into the .sh file.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.SlurmManager.parse_queue_str">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">parse_queue_str</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">queue_str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keys</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.cli.SlurmManager.parse_queue_str" title="Link to this definition">#</a></dt>
+<dd><p>Parse the qstat or squeue output string into a dict format keyed by
+integer job id with nested dictionary of job properties (queue
+printout columns).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>queue_str</strong> (<em>str</em>) – HPC queue output string (qstat for PBS or squeue for SLURM).
+Typically a space-delimited string with line breaks.</p></li>
+<li><p><strong>keys</strong> (<em>list | int</em>) – Argument to set the queue job attributes (column headers).
+This defaults to an integer which says which row index contains
+the space-delimited column headers. Can also be a list to
+explicitly set the column headers.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>queue_dict</strong> (<em>dict</em>) – HPC queue parsed into dictionary format keyed by integer job id
+with nested dictionary of job properties (queue printout columns).</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.SlurmManager.query_queue">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">query_queue</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">job_name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">user</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">qformat</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">skip_rows</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.cli.SlurmManager.query_queue" title="Link to this definition">#</a></dt>
+<dd><p>Run the HPC queue command and return the raw stdout string.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>job_name</strong> (<em>str | None</em>) – Optional to check the squeue for a specific job name (not limited
+to the 8 shown characters) or None to show user’s whole queue.</p></li>
+<li><p><strong>user</strong> (<em>str | None</em>) – HPC username. None will get your username using getpass.getuser()</p></li>
+<li><p><strong>qformat</strong> (<em>str | None</em>) – Queue format string specification. Changing this form the
+default (None) could have adverse effects!</p></li>
+<li><p><strong>skip_rows</strong> (<em>int | list | None</em>) – Optional row index values to skip.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>stdout</strong> (<em>str</em>) – HPC queue output string. Can be split on line breaks to get list.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.SlurmManager.queue">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue</span></span><a class="headerlink" href="#sup3r.utilities.cli.SlurmManager.queue" title="Link to this definition">#</a></dt>
+<dd><p>Get the HPC queue parsed into dict format keyed by integer job id</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>queue</strong> (<em>dict</em>) – HPC queue parsed into dictionary format keyed by integer job id
+with nested dictionary of job properties (queue printout columns).</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.SlurmManager.queue_job_ids">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_job_ids</span></span><a class="headerlink" href="#sup3r.utilities.cli.SlurmManager.queue_job_ids" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of the job integer ids in the queue</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.SlurmManager.queue_job_names">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_job_names</span></span><a class="headerlink" href="#sup3r.utilities.cli.SlurmManager.queue_job_names" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of the job names in the queue</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.SlurmManager.release">
+<span class="sig-name descname"><span class="pre">release</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">arg</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.cli.SlurmManager.release" title="Link to this definition">#</a></dt>
+<dd><p>Release a job that was previously on hold so it will be submitted
+to a compute node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>arg</strong> (<em>int | list | str</em>) – SLURM integer job id(s) to release.
+Can be ‘all’ to release all jobs.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.SlurmManager.rm">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">rm</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fname</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.cli.SlurmManager.rm" title="Link to this definition">#</a></dt>
+<dd><p>Remove a file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>fname</strong> (<em>str</em>) – Filename (with path) to remove.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.SlurmManager.s">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">s</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.cli.SlurmManager.s" title="Link to this definition">#</a></dt>
+<dd><p>Format input as str w/ appropriate quote types for python cli entry.</p>
+<p class="rubric">Examples</p>
+<p>list, tuple -&gt; “[‘one’, ‘two’]”
+dict -&gt; “{‘key’: ‘val’}”
+int, float, None -&gt; ‘0’
+str, other -&gt; ‘string’</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.SlurmManager.sbatch">
+<span class="sig-name descname"><span class="pre">sbatch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cmd</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alloc</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">walltime</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">memory</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nodes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'reV'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stdout_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'./stdout'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_sh</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">conda_env</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">module</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">module_root</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'/shared-projects/rev/modulefiles'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.cli.SlurmManager.sbatch" title="Link to this definition">#</a></dt>
+<dd><p>Submit a SLURM job via sbatch command and SLURM shell script</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>cmd</strong> (<em>str</em>) –</p>
+<dl class="simple">
+<dt>Command to be submitted in SLURM shell script. Example:</dt><dd><p>‘python -m reV.generation.cli_gen’</p>
+</dd>
+</dl>
+</li>
+<li><p><strong>alloc</strong> (<em>str</em>) – HPC project (allocation) handle. Example: ‘rev’. Default is not to
+state an allocation (does not work on Eagle slurm).</p></li>
+<li><p><strong>walltime</strong> (<em>float</em>) – Node walltime request in hours. Default is not to state a walltime
+(does not work on Eagle slurm).</p></li>
+<li><p><strong>memory</strong> (<em>int</em>) – Node memory request in GB.</p></li>
+<li><p><strong>nodes</strong> (<em>int</em>) – Number of nodes to use for this sbatch job. Default is 1.</p></li>
+<li><p><strong>feature</strong> (<em>str</em>) – Additional flags for SLURM job. Format is “–qos=high”
+or “–depend=[state:job_id]”. Default is None.</p></li>
+<li><p><strong>name</strong> (<em>str</em>) – SLURM job name.</p></li>
+<li><p><strong>stdout_path</strong> (<em>str</em>) – Path to print .stdout and .stderr files.</p></li>
+<li><p><strong>keep_sh</strong> (<em>bool</em>) – Boolean to keep the .sh files. Default is to remove these files
+after job submission.</p></li>
+<li><p><strong>conda_env</strong> (<em>str</em>) – Conda environment to activate</p></li>
+<li><p><strong>module</strong> (<em>bool</em>) – Module to load</p></li>
+<li><p><strong>module_root</strong> (<em>str</em>) – Path to module root to load</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>out</strong> (<em>str</em>) – sbatch standard output, if submitted successfully, this is the
+slurm job id.</p></li>
+<li><p><strong>err</strong> (<em>str</em>) – sbatch standard error, this is typically an empty string if the job
+was submitted successfully.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.SlurmManager.scancel">
+<span class="sig-name descname"><span class="pre">scancel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">arg</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.cli.SlurmManager.scancel" title="Link to this definition">#</a></dt>
+<dd><p>Cancel a slurm job.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>arg</strong> (<em>int | list | str</em>) – SLURM integer job id(s) to cancel. Can be a list of integer
+job ids, ‘all’ to cancel all jobs, or a feature (-p short) to
+cancel all jobs with a given feature</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.SlurmManager.scontrol">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">scontrol</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cmd</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.cli.SlurmManager.scontrol" title="Link to this definition">#</a></dt>
+<dd><p>Submit an scontrol command.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>cmd</strong> (<em>str</em>) – Command string after “scontrol” word</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.cli.SlurmManager.submit">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">submit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cmd</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">background</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">background_stdout</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.cli.SlurmManager.submit" title="Link to this definition">#</a></dt>
+<dd><p>Open a subprocess and submit a command.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>cmd</strong> (<em>str</em>) – Command to be submitted using python subprocess.</p></li>
+<li><p><strong>background</strong> (<em>bool</em>) – Flag to submit subprocess in the background. stdout stderr will
+be empty strings if this is True.</p></li>
+<li><p><strong>background_stdout</strong> (<em>bool</em>) – Flag to capture the stdout/stderr from the background process
+in a nohup.out file.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>stdout</strong> (<em>str</em>) – Subprocess standard output. This is decoded from the subprocess
+stdout with rstrip.</p></li>
+<li><p><strong>stderr</strong> (<em>str</em>) – Subprocess standard error. This is decoded from the subprocess
+stderr with rstrip. After decoding/rstrip, this will be empty if
+the subprocess doesn’t return an error.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager"><code class="docutils literal notranslate"><span class="pre">SlurmManager</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.check_status_using_job_id"><code class="docutils literal notranslate"><span class="pre">SlurmManager.check_status_using_job_id()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.change_qos"><code class="docutils literal notranslate"><span class="pre">SlurmManager.change_qos()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.check_status"><code class="docutils literal notranslate"><span class="pre">SlurmManager.check_status()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.format_walltime"><code class="docutils literal notranslate"><span class="pre">SlurmManager.format_walltime()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.hold"><code class="docutils literal notranslate"><span class="pre">SlurmManager.hold()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.make_path"><code class="docutils literal notranslate"><span class="pre">SlurmManager.make_path()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.make_sh"><code class="docutils literal notranslate"><span class="pre">SlurmManager.make_sh()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.parse_queue_str"><code class="docutils literal notranslate"><span class="pre">SlurmManager.parse_queue_str()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.query_queue"><code class="docutils literal notranslate"><span class="pre">SlurmManager.query_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.queue"><code class="docutils literal notranslate"><span class="pre">SlurmManager.queue</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.queue_job_ids"><code class="docutils literal notranslate"><span class="pre">SlurmManager.queue_job_ids</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.queue_job_names"><code class="docutils literal notranslate"><span class="pre">SlurmManager.queue_job_names</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.release"><code class="docutils literal notranslate"><span class="pre">SlurmManager.release()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.rm"><code class="docutils literal notranslate"><span class="pre">SlurmManager.rm()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.s"><code class="docutils literal notranslate"><span class="pre">SlurmManager.s()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.sbatch"><code class="docutils literal notranslate"><span class="pre">SlurmManager.sbatch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.scancel"><code class="docutils literal notranslate"><span class="pre">SlurmManager.scancel()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.scontrol"><code class="docutils literal notranslate"><span class="pre">SlurmManager.scontrol()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.cli.SlurmManager.submit"><code class="docutils literal notranslate"><span class="pre">SlurmManager.submit()</span></code></a></li>
+</ul>
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+</ul>
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+
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+<div class="bd-footer-content__inner container">
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+  <section id="module-sup3r.utilities.cli">
+<span id="sup3r-utilities-cli"></span><h1>sup3r.utilities.cli<a class="headerlink" href="#module-sup3r.utilities.cli" title="Link to this heading">#</a></h1>
+<p>Sup3r base CLI class.</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.cli.BaseCLI.html#sup3r.utilities.cli.BaseCLI" title="sup3r.utilities.cli.BaseCLI"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseCLI</span></code></a>()</p></td>
+<td><p>Base CLI class used to create CLI for modules in ModuleName</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.utilities.cli.SlurmManager.html#sup3r.utilities.cli.SlurmManager" title="sup3r.utilities.cli.SlurmManager"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SlurmManager</span></code></a>([user, queue_dict])</p></td>
+<td><p>GAPs-compliant SLURM manager</p></td>
+</tr>
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+</table>
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+</section>
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+    <h1>sup3r.utilities.era_downloader.EraDownloader</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader"><code class="docutils literal notranslate"><span class="pre">EraDownloader</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.get_hours"><code class="docutils literal notranslate"><span class="pre">EraDownloader.get_hours()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.variables"><code class="docutils literal notranslate"><span class="pre">EraDownloader.variables</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.days"><code class="docutils literal notranslate"><span class="pre">EraDownloader.days</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.monthly_file"><code class="docutils literal notranslate"><span class="pre">EraDownloader.monthly_file</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.surface_file"><code class="docutils literal notranslate"><span class="pre">EraDownloader.surface_file</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.level_file"><code class="docutils literal notranslate"><span class="pre">EraDownloader.level_file</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.get_tmp_file"><code class="docutils literal notranslate"><span class="pre">EraDownloader.get_tmp_file()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.prep_var_lists"><code class="docutils literal notranslate"><span class="pre">EraDownloader.prep_var_lists()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.get_cds_client"><code class="docutils literal notranslate"><span class="pre">EraDownloader.get_cds_client()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.download_process_combine"><code class="docutils literal notranslate"><span class="pre">EraDownloader.download_process_combine()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.download_file"><code class="docutils literal notranslate"><span class="pre">EraDownloader.download_file()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.process_surface_file"><code class="docutils literal notranslate"><span class="pre">EraDownloader.process_surface_file()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.add_pressure"><code class="docutils literal notranslate"><span class="pre">EraDownloader.add_pressure()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.convert_z"><code class="docutils literal notranslate"><span class="pre">EraDownloader.convert_z()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.process_level_file"><code class="docutils literal notranslate"><span class="pre">EraDownloader.process_level_file()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.process_and_combine"><code class="docutils literal notranslate"><span class="pre">EraDownloader.process_and_combine()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.get_monthly_file"><code class="docutils literal notranslate"><span class="pre">EraDownloader.get_monthly_file()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.all_vars_exist"><code class="docutils literal notranslate"><span class="pre">EraDownloader.all_vars_exist()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.run_month"><code class="docutils literal notranslate"><span class="pre">EraDownloader.run_month()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.run_for_var"><code class="docutils literal notranslate"><span class="pre">EraDownloader.run_for_var()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.run"><code class="docutils literal notranslate"><span class="pre">EraDownloader.run()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.make_yearly_var_file"><code class="docutils literal notranslate"><span class="pre">EraDownloader.make_yearly_var_file()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.make_yearly_file"><code class="docutils literal notranslate"><span class="pre">EraDownloader.make_yearly_file()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.run_qa"><code class="docutils literal notranslate"><span class="pre">EraDownloader.run_qa()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-utilities-era-downloader-eradownloader">
+<h1>sup3r.utilities.era_downloader.EraDownloader<a class="headerlink" href="#sup3r-utilities-era-downloader-eradownloader" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">EraDownloader</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">year</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">month</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">area</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">levels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">file_pattern</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">overwrite</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">variables</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">product_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'reanalysis'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/era_downloader.html#EraDownloader"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<p>Class to handle ERA5 downloading, variable renaming, and file
+combinations.</p>
+<p>Initialize the class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>year</strong> (<em>int</em>) – Year of data to download.</p></li>
+<li><p><strong>month</strong> (<em>int</em>) – Month of data to download.</p></li>
+<li><p><strong>area</strong> (<em>list</em>) – Domain area of the data to download.
+[max_lat, min_lon, min_lat, max_lon]</p></li>
+<li><p><strong>levels</strong> (<em>list</em>) – List of pressure levels to download.</p></li>
+<li><p><strong>file_pattern</strong> (<em>str</em>) – Pattern for combined monthly output file. Must include year and
+month format keys.  e.g. ‘era5_{year}_{month}_combined.nc’</p></li>
+<li><p><strong>overwrite</strong> (<em>bool</em>) – Whether to overwrite existing files.</p></li>
+<li><p><strong>variables</strong> (<em>list | None</em>) – Variables to download. If None this defaults to just gepotential
+and wind components.</p></li>
+<li><p><strong>product_type</strong> (<em>str</em>) – Can be ‘reanalysis’, ‘ensemble_mean’, ‘ensemble_spread’,
+‘ensemble_members’, ‘monthly_averaged_reanalysis’,
+‘monthly_averaged_ensemble_members’</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.era_downloader.EraDownloader.add_pressure" title="sup3r.utilities.era_downloader.EraDownloader.add_pressure"><code class="xref py py-obj docutils literal notranslate"><span class="pre">add_pressure</span></code></a>(ds)</p></td>
+<td><p>Add pressure to dataset</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.era_downloader.EraDownloader.all_vars_exist" title="sup3r.utilities.era_downloader.EraDownloader.all_vars_exist"><code class="xref py py-obj docutils literal notranslate"><span class="pre">all_vars_exist</span></code></a>(year, file_pattern, variables)</p></td>
+<td><p>Check if all yearly variable files for the requested year exist.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.era_downloader.EraDownloader.convert_z" title="sup3r.utilities.era_downloader.EraDownloader.convert_z"><code class="xref py py-obj docutils literal notranslate"><span class="pre">convert_z</span></code></a>(ds, name)</p></td>
+<td><p>Convert z to given height variable</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.era_downloader.EraDownloader.download_file" title="sup3r.utilities.era_downloader.EraDownloader.download_file"><code class="xref py py-obj docutils literal notranslate"><span class="pre">download_file</span></code></a>(variables, time_dict, area, ...)</p></td>
+<td><p>Download either single-level or pressure-level file</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.era_downloader.EraDownloader.download_process_combine" title="sup3r.utilities.era_downloader.EraDownloader.download_process_combine"><code class="xref py py-obj docutils literal notranslate"><span class="pre">download_process_combine</span></code></a>()</p></td>
+<td><p>Run the download routine.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.era_downloader.EraDownloader.get_cds_client" title="sup3r.utilities.era_downloader.EraDownloader.get_cds_client"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_cds_client</span></code></a>()</p></td>
+<td><p>Get the copernicus climate data store (CDS) API object for ERA downloads.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.era_downloader.EraDownloader.get_hours" title="sup3r.utilities.era_downloader.EraDownloader.get_hours"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_hours</span></code></a>()</p></td>
+<td><p>ERA5 is hourly and EDA is 3-hourly.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.era_downloader.EraDownloader.get_monthly_file" title="sup3r.utilities.era_downloader.EraDownloader.get_monthly_file"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_monthly_file</span></code></a>()</p></td>
+<td><p>Download level and surface files, process variables, and combine processed files.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.era_downloader.EraDownloader.get_tmp_file" title="sup3r.utilities.era_downloader.EraDownloader.get_tmp_file"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_tmp_file</span></code></a>(file)</p></td>
+<td><p>Get temp file for given file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.era_downloader.EraDownloader.make_yearly_file" title="sup3r.utilities.era_downloader.EraDownloader.make_yearly_file"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_yearly_file</span></code></a>(year, file_pattern, variables)</p></td>
+<td><p>Combine yearly variable files into a single file.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.era_downloader.EraDownloader.make_yearly_var_file" title="sup3r.utilities.era_downloader.EraDownloader.make_yearly_var_file"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_yearly_var_file</span></code></a>(year, ...[, chunks, ...])</p></td>
+<td><p>Combine monthly variable files into a single yearly variable file.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.era_downloader.EraDownloader.prep_var_lists" title="sup3r.utilities.era_downloader.EraDownloader.prep_var_lists"><code class="xref py py-obj docutils literal notranslate"><span class="pre">prep_var_lists</span></code></a>(variables)</p></td>
+<td><p>Create surface and level variable lists based on requested variables.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.era_downloader.EraDownloader.process_and_combine" title="sup3r.utilities.era_downloader.EraDownloader.process_and_combine"><code class="xref py py-obj docutils literal notranslate"><span class="pre">process_and_combine</span></code></a>()</p></td>
+<td><p>Process variables and combine.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.era_downloader.EraDownloader.process_level_file" title="sup3r.utilities.era_downloader.EraDownloader.process_level_file"><code class="xref py py-obj docutils literal notranslate"><span class="pre">process_level_file</span></code></a>()</p></td>
+<td><p>Convert geopotential to geopotential height.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.era_downloader.EraDownloader.process_surface_file" title="sup3r.utilities.era_downloader.EraDownloader.process_surface_file"><code class="xref py py-obj docutils literal notranslate"><span class="pre">process_surface_file</span></code></a>()</p></td>
+<td><p>Rename variables and convert geopotential to geopotential height.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.era_downloader.EraDownloader.run" title="sup3r.utilities.era_downloader.EraDownloader.run"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run</span></code></a>(year, area, levels, monthly_file_pattern)</p></td>
+<td><p>Run routine for all requested months in the requested year.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.era_downloader.EraDownloader.run_for_var" title="sup3r.utilities.era_downloader.EraDownloader.run_for_var"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run_for_var</span></code></a>(year, area, levels, ...[, ...])</p></td>
+<td><p>Run routine for all requested months in the requested year for the given variable.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.era_downloader.EraDownloader.run_month" title="sup3r.utilities.era_downloader.EraDownloader.run_month"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run_month</span></code></a>(year, month, area, levels, ...[, ...])</p></td>
+<td><p>Run routine for the given month and year.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.era_downloader.EraDownloader.run_qa" title="sup3r.utilities.era_downloader.EraDownloader.run_qa"><code class="xref py py-obj docutils literal notranslate"><span class="pre">run_qa</span></code></a>(file[, res_kwargs, log_file])</p></td>
+<td><p>Check for NaN values and log min / max / mean / stds for all variables.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.era_downloader.EraDownloader.days" title="sup3r.utilities.era_downloader.EraDownloader.days"><code class="xref py py-obj docutils literal notranslate"><span class="pre">days</span></code></a></p></td>
+<td><p>Get list of days for the requested month</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.era_downloader.EraDownloader.level_file" title="sup3r.utilities.era_downloader.EraDownloader.level_file"><code class="xref py py-obj docutils literal notranslate"><span class="pre">level_file</span></code></a></p></td>
+<td><p>Get name of file with variables from pressure level download</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.era_downloader.EraDownloader.monthly_file" title="sup3r.utilities.era_downloader.EraDownloader.monthly_file"><code class="xref py py-obj docutils literal notranslate"><span class="pre">monthly_file</span></code></a></p></td>
+<td><p>Name of file with all surface and level variables for a given month and year.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.era_downloader.EraDownloader.surface_file" title="sup3r.utilities.era_downloader.EraDownloader.surface_file"><code class="xref py py-obj docutils literal notranslate"><span class="pre">surface_file</span></code></a></p></td>
+<td><p>Get name of file with variables from single level download</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.era_downloader.EraDownloader.variables" title="sup3r.utilities.era_downloader.EraDownloader.variables"><code class="xref py py-obj docutils literal notranslate"><span class="pre">variables</span></code></a></p></td>
+<td><p>Get list of requested variables</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader.get_hours">
+<span class="sig-name descname"><span class="pre">get_hours</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/era_downloader.html#EraDownloader.get_hours"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader.get_hours" title="Link to this definition">#</a></dt>
+<dd><p>ERA5 is hourly and EDA is 3-hourly. Check and warn for incompatible
+requests.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader.variables">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">variables</span></span><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader.variables" title="Link to this definition">#</a></dt>
+<dd><p>Get list of requested variables</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader.days">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">days</span></span><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader.days" title="Link to this definition">#</a></dt>
+<dd><p>Get list of days for the requested month</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader.monthly_file">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">monthly_file</span></span><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader.monthly_file" title="Link to this definition">#</a></dt>
+<dd><p>Name of file with all surface and level variables for a given month
+and year.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader.surface_file">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">surface_file</span></span><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader.surface_file" title="Link to this definition">#</a></dt>
+<dd><p>Get name of file with variables from single level download</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader.level_file">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">level_file</span></span><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader.level_file" title="Link to this definition">#</a></dt>
+<dd><p>Get name of file with variables from pressure level download</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader.get_tmp_file">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_tmp_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/era_downloader.html#EraDownloader.get_tmp_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader.get_tmp_file" title="Link to this definition">#</a></dt>
+<dd><p>Get temp file for given file. Then only needed variables will be
+written to the given file.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader.prep_var_lists">
+<span class="sig-name descname"><span class="pre">prep_var_lists</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">variables</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/era_downloader.html#EraDownloader.prep_var_lists"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader.prep_var_lists" title="Link to this definition">#</a></dt>
+<dd><p>Create surface and level variable lists based on requested
+variables.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader.get_cds_client">
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_cds_client</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/era_downloader.html#EraDownloader.get_cds_client"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader.get_cds_client" title="Link to this definition">#</a></dt>
+<dd><p>Get the copernicus climate data store (CDS) API object for ERA
+downloads.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader.download_process_combine">
+<span class="sig-name descname"><span class="pre">download_process_combine</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/era_downloader.html#EraDownloader.download_process_combine"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader.download_process_combine" title="Link to this definition">#</a></dt>
+<dd><p>Run the download routine.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader.download_file">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">download_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">variables</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">area</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">level_type</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">levels</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">product_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'reanalysis'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">overwrite</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/era_downloader.html#EraDownloader.download_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader.download_file" title="Link to this definition">#</a></dt>
+<dd><p>Download either single-level or pressure-level file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>variables</strong> (<em>list</em>) – List of variables to download</p></li>
+<li><p><strong>time_dict</strong> (<em>dict</em>) – Dictionary with year, month, day, time entries.</p></li>
+<li><p><strong>area</strong> (<em>list</em>) – List of bounding box coordinates.
+e.g. [max_lat, min_lon, min_lat, max_lon]</p></li>
+<li><p><strong>out_file</strong> (<em>str</em>) – Name of output file</p></li>
+<li><p><strong>level_type</strong> (<em>str</em>) – Either ‘single’ or ‘pressure’</p></li>
+<li><p><strong>levels</strong> (<em>list</em>) – List of pressure levels to download, if level_type == ‘pressure’</p></li>
+<li><p><strong>product_type</strong> (<em>str</em>) – Can be ‘reanalysis’, ‘ensemble_mean’, ‘ensemble_spread’,
+‘ensemble_members’, ‘monthly_averaged_reanalysis’,
+‘monthly_averaged_ensemble_members’</p></li>
+<li><p><strong>overwrite</strong> (<em>bool</em>) – Whether to overwrite existing file</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader.process_surface_file">
+<span class="sig-name descname"><span class="pre">process_surface_file</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/era_downloader.html#EraDownloader.process_surface_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader.process_surface_file" title="Link to this definition">#</a></dt>
+<dd><p>Rename variables and convert geopotential to geopotential height.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader.add_pressure">
+<span class="sig-name descname"><span class="pre">add_pressure</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ds</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/era_downloader.html#EraDownloader.add_pressure"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader.add_pressure" title="Link to this definition">#</a></dt>
+<dd><p>Add pressure to dataset</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>ds</strong> (<em>Dataset</em>) – xr.Dataset() object for which to add pressure</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>ds</strong> (<em>Dataset</em>)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader.convert_z">
+<span class="sig-name descname"><span class="pre">convert_z</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ds</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/era_downloader.html#EraDownloader.convert_z"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader.convert_z" title="Link to this definition">#</a></dt>
+<dd><p>Convert z to given height variable</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>ds</strong> (<em>Dataset</em>) – xr.Dataset() object for new file</p></li>
+<li><p><strong>name</strong> (<em>str</em>) – Variable name. e.g. zg or orog, typically</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>ds</strong> (<em>Dataset</em>) – xr.Dataset() object for new file with new height variable written.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader.process_level_file">
+<span class="sig-name descname"><span class="pre">process_level_file</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/era_downloader.html#EraDownloader.process_level_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader.process_level_file" title="Link to this definition">#</a></dt>
+<dd><p>Convert geopotential to geopotential height.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader.process_and_combine">
+<span class="sig-name descname"><span class="pre">process_and_combine</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/era_downloader.html#EraDownloader.process_and_combine"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader.process_and_combine" title="Link to this definition">#</a></dt>
+<dd><p>Process variables and combine.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader.get_monthly_file">
+<span class="sig-name descname"><span class="pre">get_monthly_file</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/era_downloader.html#EraDownloader.get_monthly_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader.get_monthly_file" title="Link to this definition">#</a></dt>
+<dd><p>Download level and surface files, process variables, and combine
+processed files. Includes checks for shape and variables.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader.all_vars_exist">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">all_vars_exist</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">year</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">file_pattern</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">variables</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/era_downloader.html#EraDownloader.all_vars_exist"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader.all_vars_exist" title="Link to this definition">#</a></dt>
+<dd><p>Check if all yearly variable files for the requested year exist.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>year</strong> (<em>int</em>) – Year used for data download.</p></li>
+<li><p><strong>file_pattern</strong> (<em>str</em>) – Pattern for variable file. Must include year and
+var format keys. e.g. ‘era5_{year}_{var}_combined.nc’</p></li>
+<li><p><strong>variables</strong> (<em>list</em>) – Variables that should have been downloaded</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>bool</em> – True if all monthly variable files for the requested year and month
+exist.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader.run_month">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">run_month</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">year</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">month</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">area</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">levels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">file_pattern</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">overwrite</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">variables</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">product_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'reanalysis'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/era_downloader.html#EraDownloader.run_month"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader.run_month" title="Link to this definition">#</a></dt>
+<dd><p>Run routine for the given month and year.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>year</strong> (<em>int</em>) – Year of data to download.</p></li>
+<li><p><strong>month</strong> (<em>int</em>) – Month of data to download.</p></li>
+<li><p><strong>area</strong> (<em>list</em>) – Domain area of the data to download.
+[max_lat, min_lon, min_lat, max_lon]</p></li>
+<li><p><strong>levels</strong> (<em>list</em>) – List of pressure levels to download.</p></li>
+<li><p><strong>file_pattern</strong> (<em>str</em>) – Pattern for combined monthly output file. Must include year and
+month format keys.  e.g. ‘era5_{year}_{month}_combined.nc’</p></li>
+<li><p><strong>overwrite</strong> (<em>bool</em>) – Whether to overwrite existing files.</p></li>
+<li><p><strong>variables</strong> (<em>list | None</em>) – Variables to download. If None this defaults to just gepotential
+and wind components.</p></li>
+<li><p><strong>product_type</strong> (<em>str</em>) – Can be ‘reanalysis’, ‘ensemble_mean’, ‘ensemble_spread’,
+‘ensemble_members’, ‘monthly_averaged_reanalysis’,
+‘monthly_averaged_ensemble_members’</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader.run_for_var">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">run_for_var</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">year</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">area</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">levels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">monthly_file_pattern</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">yearly_file_pattern</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">months</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">overwrite</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">variable</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">product_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'reanalysis'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">res_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/era_downloader.html#EraDownloader.run_for_var"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader.run_for_var" title="Link to this definition">#</a></dt>
+<dd><p>Run routine for all requested months in the requested year for the
+given variable.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>year</strong> (<em>int</em>) – Year of data to download.</p></li>
+<li><p><strong>area</strong> (<em>list</em>) – Domain area of the data to download.
+[max_lat, min_lon, min_lat, max_lon]</p></li>
+<li><p><strong>levels</strong> (<em>list</em>) – List of pressure levels to download.</p></li>
+<li><p><strong>monthly_file_pattern</strong> (<em>str</em>) – Pattern for monthly output files. Must include year, month, and var
+format keys.  e.g. ‘era5_{year}_{month}_{var}.nc’</p></li>
+<li><p><strong>yearly_file_pattern</strong> (<em>str</em>) – Pattern for yearly output files. Must include year and var format
+keys.  e.g. ‘era5_{year}_{var}.nc’</p></li>
+<li><p><strong>months</strong> (<em>list | None</em>) – List of months to download data for. If None then all months for
+the given year will be downloaded.</p></li>
+<li><p><strong>overwrite</strong> (<em>bool</em>) – Whether to overwrite existing files.</p></li>
+<li><p><strong>max_workers</strong> (<em>int</em>) – Max number of workers to use for downloading and processing monthly
+files.</p></li>
+<li><p><strong>variable</strong> (<em>str</em>) – Variable to download.</p></li>
+<li><p><strong>product_type</strong> (<em>str</em>) – Can be ‘reanalysis’, ‘ensemble_mean’, ‘ensemble_spread’,
+‘ensemble_members’, ‘monthly_averaged_reanalysis’,
+‘monthly_averaged_ensemble_members’</p></li>
+<li><p><strong>chunks</strong> (<em>str | dict</em>) – Dictionary of chunksizes used when writing data to netcdf files.
+Can also be ‘auto’.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader.run">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">run</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">year</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">area</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">levels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">monthly_file_pattern</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">yearly_file_pattern</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">months</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">overwrite</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">variables</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">product_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'reanalysis'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">combine_all_files</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">res_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/era_downloader.html#EraDownloader.run"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader.run" title="Link to this definition">#</a></dt>
+<dd><p>Run routine for all requested months in the requested year.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>year</strong> (<em>int</em>) – Year of data to download.</p></li>
+<li><p><strong>area</strong> (<em>list</em>) – Domain area of the data to download.
+[max_lat, min_lon, min_lat, max_lon]</p></li>
+<li><p><strong>levels</strong> (<em>list</em>) – List of pressure levels to download.</p></li>
+<li><p><strong>monthly_file_pattern</strong> (<em>str</em>) – Pattern for monthly output file. Must include year, month, and var
+format keys.  e.g. ‘era5_{year}_{month}_{var}_combined.nc’</p></li>
+<li><p><strong>yearly_file_pattern</strong> (<em>str</em>) – Pattern for yearly output file. Must include year and var
+format keys.  e.g. ‘era5_{year}_{var}_combined.nc’</p></li>
+<li><p><strong>months</strong> (<em>list | None</em>) – List of months to download data for. If None then all months for
+the given year will be downloaded.</p></li>
+<li><p><strong>overwrite</strong> (<em>bool</em>) – Whether to overwrite existing files.</p></li>
+<li><p><strong>max_workers</strong> (<em>int</em>) – Max number of workers to use for downloading and processing monthly
+files.</p></li>
+<li><p><strong>variables</strong> (<em>list | None</em>) – Variables to download. If None this defaults to just gepotential
+and wind components.</p></li>
+<li><p><strong>product_type</strong> (<em>str</em>) – Can be ‘reanalysis’, ‘ensemble_mean’, ‘ensemble_spread’,
+‘ensemble_members’, ‘monthly_averaged_reanalysis’,
+‘monthly_averaged_ensemble_members’</p></li>
+<li><p><strong>chunks</strong> (<em>str | dict</em>) – Dictionary of chunksizes used when writing data to netcdf files.
+Can also be ‘auto’</p></li>
+<li><p><strong>combine_all_files</strong> (<em>bool</em>) – Whether to combine separate yearly variable files into a single
+yearly file with all variables included</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader.make_yearly_var_file">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">make_yearly_var_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">year</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">monthly_file_pattern</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">yearly_file_pattern</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">variable</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">res_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/era_downloader.html#EraDownloader.make_yearly_var_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader.make_yearly_var_file" title="Link to this definition">#</a></dt>
+<dd><p>Combine monthly variable files into a single yearly variable file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>year</strong> (<em>int</em>) – Year used to download data</p></li>
+<li><p><strong>monthly_file_pattern</strong> (<em>str</em>) – File pattern for monthly variable files. Must have year, month, and
+var format keys. e.g. ‘./era_{year}_{month}_{var}_combined.nc’</p></li>
+<li><p><strong>yearly_file_pattern</strong> (<em>str</em>) – File pattern for yearly variable files. Must have year and var
+format keys. e.g. ‘./era_{year}_{var}_combined.nc’</p></li>
+<li><p><strong>variable</strong> (<em>string</em>) – Variable name for the files to be combined.</p></li>
+<li><p><strong>chunks</strong> (<em>str | dict</em>) – Dictionary of chunksizes used when writing data to netcdf files.
+Can also be ‘auto’.</p></li>
+<li><p><strong>res_kwargs</strong> (<em>None | dict</em>) – Keyword arguments for base resource handler, like
+<code class="docutils literal notranslate"><span class="pre">xr.open_mfdataset.</span></code> This is passed to a <code class="docutils literal notranslate"><span class="pre">Loader</span></code> object and
+then used in the base loader contained by that obkect.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader.make_yearly_file">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">make_yearly_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">year</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">file_pattern</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">variables</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">res_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/era_downloader.html#EraDownloader.make_yearly_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader.make_yearly_file" title="Link to this definition">#</a></dt>
+<dd><p>Combine yearly variable files into a single file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>year</strong> (<em>int</em>) – Year for the data to make into a yearly file.</p></li>
+<li><p><strong>file_pattern</strong> (<em>str</em>) – File pattern for output files. Must have year and var
+format keys. e.g. ‘./era_{year}_{var}_combined.nc’</p></li>
+<li><p><strong>variables</strong> (<em>list</em>) – List of variables corresponding to the yearly variable files to
+combine.</p></li>
+<li><p><strong>chunks</strong> (<em>str | dict</em>) – Dictionary of chunksizes used when writing data to netcdf files.
+Can also be ‘auto’.</p></li>
+<li><p><strong>res_kwargs</strong> (<em>None | dict</em>) – Keyword arguments for base resource handler, like
+<code class="docutils literal notranslate"><span class="pre">xr.open_mfdataset.</span></code> This is passed to a <code class="docutils literal notranslate"><span class="pre">Loader</span></code> object and
+then used in the base loader contained by that obkect.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.era_downloader.EraDownloader.run_qa">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">run_qa</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">res_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/era_downloader.html#EraDownloader.run_qa"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.era_downloader.EraDownloader.run_qa" title="Link to this definition">#</a></dt>
+<dd><p>Check for NaN values and log min / max / mean / stds for all
+variables.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
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+  <div class="sidebar-secondary-item">
+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader"><code class="docutils literal notranslate"><span class="pre">EraDownloader</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.get_hours"><code class="docutils literal notranslate"><span class="pre">EraDownloader.get_hours()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.variables"><code class="docutils literal notranslate"><span class="pre">EraDownloader.variables</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.days"><code class="docutils literal notranslate"><span class="pre">EraDownloader.days</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.monthly_file"><code class="docutils literal notranslate"><span class="pre">EraDownloader.monthly_file</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.surface_file"><code class="docutils literal notranslate"><span class="pre">EraDownloader.surface_file</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.level_file"><code class="docutils literal notranslate"><span class="pre">EraDownloader.level_file</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.get_tmp_file"><code class="docutils literal notranslate"><span class="pre">EraDownloader.get_tmp_file()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.prep_var_lists"><code class="docutils literal notranslate"><span class="pre">EraDownloader.prep_var_lists()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.get_cds_client"><code class="docutils literal notranslate"><span class="pre">EraDownloader.get_cds_client()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.download_process_combine"><code class="docutils literal notranslate"><span class="pre">EraDownloader.download_process_combine()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.download_file"><code class="docutils literal notranslate"><span class="pre">EraDownloader.download_file()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.process_surface_file"><code class="docutils literal notranslate"><span class="pre">EraDownloader.process_surface_file()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.add_pressure"><code class="docutils literal notranslate"><span class="pre">EraDownloader.add_pressure()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.convert_z"><code class="docutils literal notranslate"><span class="pre">EraDownloader.convert_z()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.process_level_file"><code class="docutils literal notranslate"><span class="pre">EraDownloader.process_level_file()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.process_and_combine"><code class="docutils literal notranslate"><span class="pre">EraDownloader.process_and_combine()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.get_monthly_file"><code class="docutils literal notranslate"><span class="pre">EraDownloader.get_monthly_file()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.all_vars_exist"><code class="docutils literal notranslate"><span class="pre">EraDownloader.all_vars_exist()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.run_month"><code class="docutils literal notranslate"><span class="pre">EraDownloader.run_month()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.run_for_var"><code class="docutils literal notranslate"><span class="pre">EraDownloader.run_for_var()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.run"><code class="docutils literal notranslate"><span class="pre">EraDownloader.run()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.make_yearly_var_file"><code class="docutils literal notranslate"><span class="pre">EraDownloader.make_yearly_var_file()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.make_yearly_file"><code class="docutils literal notranslate"><span class="pre">EraDownloader.make_yearly_file()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.era_downloader.EraDownloader.run_qa"><code class="docutils literal notranslate"><span class="pre">EraDownloader.run_qa()</span></code></a></li>
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+  <section id="module-sup3r.utilities.era_downloader">
+<span id="sup3r-utilities-era-downloader"></span><h1>sup3r.utilities.era_downloader<a class="headerlink" href="#module-sup3r.utilities.era_downloader" title="Link to this heading">#</a></h1>
+<p>Download ERA5 file for the given year and month</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>To use this you need to have <code class="docutils literal notranslate"><span class="pre">cdsapi</span></code> package installed and a <code class="docutils literal notranslate"><span class="pre">~/.cdsapirc</span></code>
+file with a url and api key. Follow the instructions here:
+<a class="reference external" href="https://cds.climate.copernicus.eu/how-to-api">https://cds.climate.copernicus.eu/how-to-api</a></p>
+</div>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader" title="sup3r.utilities.era_downloader.EraDownloader"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EraDownloader</span></code></a>(year, month, area, levels, ...)</p></td>
+<td><p>Class to handle ERA5 downloading, variable renaming, and file combinations.</p></td>
+</tr>
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+  <section id="module-sup3r.utilities">
+<span id="sup3r-utilities"></span><h1>sup3r.utilities<a class="headerlink" href="#module-sup3r.utilities" title="Link to this heading">#</a></h1>
+<p>Sup3r utilities</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName" title="sup3r.utilities.ModuleName"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ModuleName</span></code></a>(value)</p></td>
+<td><p>A collection of the module names available in sup3r.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.cli.html#module-sup3r.utilities.cli" title="sup3r.utilities.cli"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cli</span></code></a></p></td>
+<td><p>Sup3r base CLI class.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.utilities.era_downloader.html#module-sup3r.utilities.era_downloader" title="sup3r.utilities.era_downloader"><code class="xref py py-obj docutils literal notranslate"><span class="pre">era_downloader</span></code></a></p></td>
+<td><p>Download ERA5 file for the given year and month</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.interpolation.html#module-sup3r.utilities.interpolation" title="sup3r.utilities.interpolation"><code class="xref py py-obj docutils literal notranslate"><span class="pre">interpolation</span></code></a></p></td>
+<td><p>Interpolator class with methods for pressure and height interpolation</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.utilities.loss_metrics.html#module-sup3r.utilities.loss_metrics" title="sup3r.utilities.loss_metrics"><code class="xref py py-obj docutils literal notranslate"><span class="pre">loss_metrics</span></code></a></p></td>
+<td><p>Content loss metrics for Sup3r</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.pytest.html#module-sup3r.utilities.pytest" title="sup3r.utilities.pytest"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pytest</span></code></a></p></td>
+<td><p>Pytest helper utilities</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.utilities.utilities.html#module-sup3r.utilities.utilities" title="sup3r.utilities.utilities"><code class="xref py py-obj docutils literal notranslate"><span class="pre">utilities</span></code></a></p></td>
+<td><p>Miscellaneous utilities shared across multiple modules</p></td>
+</tr>
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diff --git a/_autosummary/sup3r.utilities.interpolation.Interpolator.html b/_autosummary/sup3r.utilities.interpolation.Interpolator.html
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@@ -0,0 +1,843 @@
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+    <h1>sup3r.utilities.interpolation.Interpolator</h1>
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+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.interpolation.Interpolator"><code class="docutils literal notranslate"><span class="pre">Interpolator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.interpolation.Interpolator.get_level_masks"><code class="docutils literal notranslate"><span class="pre">Interpolator.get_level_masks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.interpolation.Interpolator.interp_to_level"><code class="docutils literal notranslate"><span class="pre">Interpolator.interp_to_level()</span></code></a></li>
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+  <section id="sup3r-utilities-interpolation-interpolator">
+<h1>sup3r.utilities.interpolation.Interpolator<a class="headerlink" href="#sup3r-utilities-interpolation-interpolator" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.interpolation.Interpolator">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Interpolator</span></span><a class="reference internal" href="../_modules/sup3r/utilities/interpolation.html#Interpolator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.interpolation.Interpolator" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<p>Class for handling pressure and height interpolation</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.interpolation.Interpolator.get_level_masks" title="sup3r.utilities.interpolation.Interpolator.get_level_masks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_level_masks</span></code></a>(lev_array, level)</p></td>
+<td><p>Get the masks used to select closest surrounding levels in the lev_array to requested interpolation level.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.interpolation.Interpolator.interp_to_level" title="sup3r.utilities.interpolation.Interpolator.interp_to_level"><code class="xref py py-obj docutils literal notranslate"><span class="pre">interp_to_level</span></code></a>(lev_array, var_array, level)</p></td>
+<td><p>Interpolate var_array to the given level.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.interpolation.Interpolator.get_level_masks">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_level_masks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lev_array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">level</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/interpolation.html#Interpolator.get_level_masks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.interpolation.Interpolator.get_level_masks" title="Link to this definition">#</a></dt>
+<dd><p>Get the masks used to select closest surrounding levels in the
+lev_array to requested interpolation level.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>var_array</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – Array of variable data, for example u-wind in a 4D array of shape
+(lat, lon, time, level)</p></li>
+<li><p><strong>lev_array</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – Height or pressure values for the corresponding entries in
+var_array, in the same shape as var_array. If this is height and
+the requested levels are hub heights above surface, lev_array
+should be the geopotential height corresponding to every var_array
+index relative to the surface elevation (subtract the elevation at
+the surface from the geopotential height)</p></li>
+<li><p><strong>level</strong> (<em>float</em>) – level to interpolate to (e.g. final desired hub height
+above surface elevation)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>mask1</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – Array of bools selecting the entries with the closest levels to the
+one requested.
+(lat, lon, time, level)</p></li>
+<li><p><strong>mask2</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – Array of bools selecting the entries with the second closest levels
+to the one requested.
+(lat, lon, time, level)</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.interpolation.Interpolator.interp_to_level">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">interp_to_level</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lev_array</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">var_array</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">level</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interp_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/interpolation.html#Interpolator.interp_to_level"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.interpolation.Interpolator.interp_to_level" title="Link to this definition">#</a></dt>
+<dd><p>Interpolate var_array to the given level.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>var_array</strong> (<em>xr.DataArray</em>) – Array of variable data, for example u-wind in a 4D array of shape
+(lat, lon, time, level)</p></li>
+<li><p><strong>lev_array</strong> (<em>xr.DataArray</em>) – Height or pressure values for the corresponding entries in
+var_array, in the same shape as var_array. If this is height and
+the requested levels are hub heights above surface, lev_array
+should be the geopotential height corresponding to every var_array
+index relative to the surface elevation (subtract the elevation at
+the surface from the geopotential height)</p></li>
+<li><p><strong>level</strong> (<em>float</em>) – level or levels to interpolate to (e.g. final desired hub height
+above surface elevation)</p></li>
+<li><p><strong>interp_kwargs</strong> (<em>dict | None</em>) – Dictionary of kwargs for level interpolation. Can include “method”
+and “run_level_check” keys</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>out</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – Interpolated var_array (lat, lon, time)</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.interpolation.Interpolator"><code class="docutils literal notranslate"><span class="pre">Interpolator</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.interpolation.Interpolator.get_level_masks"><code class="docutils literal notranslate"><span class="pre">Interpolator.get_level_masks()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.interpolation.Interpolator.interp_to_level"><code class="docutils literal notranslate"><span class="pre">Interpolator.interp_to_level()</span></code></a></li>
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+  <section id="module-sup3r.utilities.interpolation">
+<span id="sup3r-utilities-interpolation"></span><h1>sup3r.utilities.interpolation<a class="headerlink" href="#module-sup3r.utilities.interpolation" title="Link to this heading">#</a></h1>
+<p>Interpolator class with methods for pressure and height interpolation</p>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.interpolation.Interpolator.html#sup3r.utilities.interpolation.Interpolator" title="sup3r.utilities.interpolation.Interpolator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Interpolator</span></code></a>()</p></td>
+<td><p>Class for handling pressure and height interpolation</p></td>
+</tr>
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+    <h1>sup3r.utilities.loss_metrics.CoarseMseLoss</h1>
+    <!-- Table of contents -->
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+            <div>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.CoarseMseLoss"><code class="docutils literal notranslate"><span class="pre">CoarseMseLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.CoarseMseLoss.__call__"><code class="docutils literal notranslate"><span class="pre">CoarseMseLoss.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.CoarseMseLoss.call"><code class="docutils literal notranslate"><span class="pre">CoarseMseLoss.call()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.CoarseMseLoss.from_config"><code class="docutils literal notranslate"><span class="pre">CoarseMseLoss.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.CoarseMseLoss.get_config"><code class="docutils literal notranslate"><span class="pre">CoarseMseLoss.get_config()</span></code></a></li>
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+  <section id="sup3r-utilities-loss-metrics-coarsemseloss">
+<h1>sup3r.utilities.loss_metrics.CoarseMseLoss<a class="headerlink" href="#sup3r-utilities-loss-metrics-coarsemseloss" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.CoarseMseLoss">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">CoarseMseLoss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#CoarseMseLoss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.CoarseMseLoss" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Loss</span></code></p>
+<p>Loss class for coarse mse on spatial average of 5D tensor</p>
+<p>Initializes <cite>Loss</cite> class.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>reduction: Type of <cite>tf.keras.losses.Reduction</cite> to apply to</dt><dd><p>loss. Default value is <cite>AUTO</cite>. <cite>AUTO</cite> indicates that the
+reduction option will be determined by the usage context. For
+almost all cases this defaults to <cite>SUM_OVER_BATCH_SIZE</cite>. When
+used under a <cite>tf.distribute.Strategy</cite>, except via
+<cite>Model.compile()</cite> and <cite>Model.fit()</cite>, using <cite>AUTO</cite> or
+<cite>SUM_OVER_BATCH_SIZE</cite> will raise an error. Please see this
+custom training [tutorial](
+<a class="reference external" href="https://www.tensorflow.org/tutorials/distribute/custom_training">https://www.tensorflow.org/tutorials/distribute/custom_training</a>)
+for more details.</p>
+</dd>
+</dl>
+<p>name: Optional name for the instance.</p>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.CoarseMseLoss.call" title="sup3r.utilities.loss_metrics.CoarseMseLoss.call"><code class="xref py py-obj docutils literal notranslate"><span class="pre">call</span></code></a>(y_true, y_pred)</p></td>
+<td><p>Invokes the <cite>Loss</cite> instance.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.CoarseMseLoss.from_config" title="sup3r.utilities.loss_metrics.CoarseMseLoss.from_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_config</span></code></a>(config)</p></td>
+<td><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.CoarseMseLoss.get_config" title="sup3r.utilities.loss_metrics.CoarseMseLoss.get_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_config</span></code></a>()</p></td>
+<td><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">MSE_LOSS</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.CoarseMseLoss.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x2</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#CoarseMseLoss.__call__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.CoarseMseLoss.__call__" title="Link to this definition">#</a></dt>
+<dd><p>Exponential difference loss function</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x1</strong> (<em>tf.tensor</em>) – synthetic generator output
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>x2</strong> (<em>tf.tensor</em>) – high resolution data
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>tf.tensor</em> – 0D tensor with loss value</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.CoarseMseLoss.call">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_pred</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.CoarseMseLoss.call" title="Link to this definition">#</a></dt>
+<dd><p>Invokes the <cite>Loss</cite> instance.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>y_true: Ground truth values. shape = <cite>[batch_size, d0, .. dN]</cite>,</dt><dd><p>except sparse loss functions such as sparse categorical
+crossentropy where shape = <cite>[batch_size, d0, .. dN-1]</cite></p>
+</dd>
+</dl>
+<p>y_pred: The predicted values. shape = <cite>[batch_size, d0, .. dN]</cite></p>
+</dd>
+<dt>Returns:</dt><dd><p>Loss values with the shape <cite>[batch_size, d0, .. dN-1]</cite>.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.CoarseMseLoss.from_config">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.CoarseMseLoss.from_config" title="Link to this definition">#</a></dt>
+<dd><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p>
+<dl class="simple">
+<dt>Args:</dt><dd><p>config: Output of <cite>get_config()</cite>.</p>
+</dd>
+<dt>Returns:</dt><dd><p>A <cite>Loss</cite> instance.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.CoarseMseLoss.get_config">
+<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.CoarseMseLoss.get_config" title="Link to this definition">#</a></dt>
+<dd><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p>
+</dd></dl>
+
+</dd></dl>
+
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+    <h1>sup3r.utilities.loss_metrics.ExpLoss</h1>
+    <!-- Table of contents -->
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+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.ExpLoss"><code class="docutils literal notranslate"><span class="pre">ExpLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.ExpLoss.__call__"><code class="docutils literal notranslate"><span class="pre">ExpLoss.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.ExpLoss.call"><code class="docutils literal notranslate"><span class="pre">ExpLoss.call()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.ExpLoss.from_config"><code class="docutils literal notranslate"><span class="pre">ExpLoss.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.ExpLoss.get_config"><code class="docutils literal notranslate"><span class="pre">ExpLoss.get_config()</span></code></a></li>
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+  <section id="sup3r-utilities-loss-metrics-exploss">
+<h1>sup3r.utilities.loss_metrics.ExpLoss<a class="headerlink" href="#sup3r-utilities-loss-metrics-exploss" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.ExpLoss">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ExpLoss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#ExpLoss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.ExpLoss" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Loss</span></code></p>
+<p>Loss class for squared exponential difference</p>
+<p>Initializes <cite>Loss</cite> class.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>reduction: Type of <cite>tf.keras.losses.Reduction</cite> to apply to</dt><dd><p>loss. Default value is <cite>AUTO</cite>. <cite>AUTO</cite> indicates that the
+reduction option will be determined by the usage context. For
+almost all cases this defaults to <cite>SUM_OVER_BATCH_SIZE</cite>. When
+used under a <cite>tf.distribute.Strategy</cite>, except via
+<cite>Model.compile()</cite> and <cite>Model.fit()</cite>, using <cite>AUTO</cite> or
+<cite>SUM_OVER_BATCH_SIZE</cite> will raise an error. Please see this
+custom training [tutorial](
+<a class="reference external" href="https://www.tensorflow.org/tutorials/distribute/custom_training">https://www.tensorflow.org/tutorials/distribute/custom_training</a>)
+for more details.</p>
+</dd>
+</dl>
+<p>name: Optional name for the instance.</p>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.ExpLoss.call" title="sup3r.utilities.loss_metrics.ExpLoss.call"><code class="xref py py-obj docutils literal notranslate"><span class="pre">call</span></code></a>(y_true, y_pred)</p></td>
+<td><p>Invokes the <cite>Loss</cite> instance.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.ExpLoss.from_config" title="sup3r.utilities.loss_metrics.ExpLoss.from_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_config</span></code></a>(config)</p></td>
+<td><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.ExpLoss.get_config" title="sup3r.utilities.loss_metrics.ExpLoss.get_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_config</span></code></a>()</p></td>
+<td><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.ExpLoss.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x2</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#ExpLoss.__call__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.ExpLoss.__call__" title="Link to this definition">#</a></dt>
+<dd><p>Exponential difference loss function</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x1</strong> (<em>tf.tensor</em>) – synthetic generator output
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>x2</strong> (<em>tf.tensor</em>) – high resolution data
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>tf.tensor</em> – 0D tensor with loss value</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.ExpLoss.call">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_pred</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.ExpLoss.call" title="Link to this definition">#</a></dt>
+<dd><p>Invokes the <cite>Loss</cite> instance.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>y_true: Ground truth values. shape = <cite>[batch_size, d0, .. dN]</cite>,</dt><dd><p>except sparse loss functions such as sparse categorical
+crossentropy where shape = <cite>[batch_size, d0, .. dN-1]</cite></p>
+</dd>
+</dl>
+<p>y_pred: The predicted values. shape = <cite>[batch_size, d0, .. dN]</cite></p>
+</dd>
+<dt>Returns:</dt><dd><p>Loss values with the shape <cite>[batch_size, d0, .. dN-1]</cite>.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.ExpLoss.from_config">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.ExpLoss.from_config" title="Link to this definition">#</a></dt>
+<dd><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p>
+<dl class="simple">
+<dt>Args:</dt><dd><p>config: Output of <cite>get_config()</cite>.</p>
+</dd>
+<dt>Returns:</dt><dd><p>A <cite>Loss</cite> instance.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.ExpLoss.get_config">
+<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.ExpLoss.get_config" title="Link to this definition">#</a></dt>
+<dd><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.ExpLoss"><code class="docutils literal notranslate"><span class="pre">ExpLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.ExpLoss.__call__"><code class="docutils literal notranslate"><span class="pre">ExpLoss.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.ExpLoss.call"><code class="docutils literal notranslate"><span class="pre">ExpLoss.call()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.ExpLoss.from_config"><code class="docutils literal notranslate"><span class="pre">ExpLoss.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.ExpLoss.get_config"><code class="docutils literal notranslate"><span class="pre">ExpLoss.get_config()</span></code></a></li>
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+    <h1>sup3r.utilities.loss_metrics.LowResLoss</h1>
+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.LowResLoss"><code class="docutils literal notranslate"><span class="pre">LowResLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.LowResLoss.__call__"><code class="docutils literal notranslate"><span class="pre">LowResLoss.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.LowResLoss.call"><code class="docutils literal notranslate"><span class="pre">LowResLoss.call()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.LowResLoss.from_config"><code class="docutils literal notranslate"><span class="pre">LowResLoss.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.LowResLoss.get_config"><code class="docutils literal notranslate"><span class="pre">LowResLoss.get_config()</span></code></a></li>
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+  <section id="sup3r-utilities-loss-metrics-lowresloss">
+<h1>sup3r.utilities.loss_metrics.LowResLoss<a class="headerlink" href="#sup3r-utilities-loss-metrics-lowresloss" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.LowResLoss">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">LowResLoss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'average'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tf_loss</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'MeanSquaredError'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ex_loss</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#LowResLoss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.LowResLoss" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Loss</span></code></p>
+<p>Content loss that is calculated by coarsening the synthetic and true
+high-resolution data pairs and then performing the pointwise content loss
+on the low-resolution fields</p>
+<p>Initialize the loss with given weight</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>s_enhance</strong> (<em>int</em>) – factor by which to coarsen spatial dimensions. 1 will keep the
+spatial axes as high-res</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – factor by which to coarsen temporal dimension. 1 will keep the
+temporal axes as high-res</p></li>
+<li><p><strong>t_method</strong> (<em>str</em>) – Accepted options: [subsample, average]
+Subsample will take every t_enhance-th time step, average will
+average over t_enhance time steps</p></li>
+<li><p><strong>tf_loss</strong> (<em>str</em>) – The tensorflow loss function to operate on the low-res fields. Must
+be the name of a loss class that can be retrieved from
+<code class="docutils literal notranslate"><span class="pre">tf.keras.losses</span></code> e.g., “MeanSquaredError” or “MeanAbsoluteError”</p></li>
+<li><p><strong>ex_loss</strong> (<em>None | str</em>) – Optional additional loss metric evaluating the spatial or temporal
+extremes of the high-res data. Can be “SpatialExtremesOnlyLoss” or
+“TemporalExtremesOnlyLoss” (keys in <code class="docutils literal notranslate"><span class="pre">EX_LOSS_METRICS</span></code>).</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.LowResLoss.call" title="sup3r.utilities.loss_metrics.LowResLoss.call"><code class="xref py py-obj docutils literal notranslate"><span class="pre">call</span></code></a>(y_true, y_pred)</p></td>
+<td><p>Invokes the <cite>Loss</cite> instance.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.LowResLoss.from_config" title="sup3r.utilities.loss_metrics.LowResLoss.from_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_config</span></code></a>(config)</p></td>
+<td><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.LowResLoss.get_config" title="sup3r.utilities.loss_metrics.LowResLoss.get_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_config</span></code></a>()</p></td>
+<td><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">EX_LOSS_METRICS</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.LowResLoss.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x2</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#LowResLoss.__call__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.LowResLoss.__call__" title="Link to this definition">#</a></dt>
+<dd><p>Custom content loss calculated on re-coarsened low-res fields</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x1</strong> (<em>tf.tensor</em>) – Synthetic high-res generator output, shape is either of these:
+(n_obs, spatial_1, spatial_2, features)
+(n_obs, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>x2</strong> (<em>tf.tensor</em>) – True high resolution data, shape is either of these:
+(n_obs, spatial_1, spatial_2, features)
+(n_obs, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>tf.tensor</em> – 0D tensor loss value</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.LowResLoss.call">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_pred</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.LowResLoss.call" title="Link to this definition">#</a></dt>
+<dd><p>Invokes the <cite>Loss</cite> instance.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>y_true: Ground truth values. shape = <cite>[batch_size, d0, .. dN]</cite>,</dt><dd><p>except sparse loss functions such as sparse categorical
+crossentropy where shape = <cite>[batch_size, d0, .. dN-1]</cite></p>
+</dd>
+</dl>
+<p>y_pred: The predicted values. shape = <cite>[batch_size, d0, .. dN]</cite></p>
+</dd>
+<dt>Returns:</dt><dd><p>Loss values with the shape <cite>[batch_size, d0, .. dN-1]</cite>.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.LowResLoss.from_config">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.LowResLoss.from_config" title="Link to this definition">#</a></dt>
+<dd><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p>
+<dl class="simple">
+<dt>Args:</dt><dd><p>config: Output of <cite>get_config()</cite>.</p>
+</dd>
+<dt>Returns:</dt><dd><p>A <cite>Loss</cite> instance.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.LowResLoss.get_config">
+<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.LowResLoss.get_config" title="Link to this definition">#</a></dt>
+<dd><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.LowResLoss"><code class="docutils literal notranslate"><span class="pre">LowResLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.LowResLoss.__call__"><code class="docutils literal notranslate"><span class="pre">LowResLoss.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.LowResLoss.call"><code class="docutils literal notranslate"><span class="pre">LowResLoss.call()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.LowResLoss.from_config"><code class="docutils literal notranslate"><span class="pre">LowResLoss.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.LowResLoss.get_config"><code class="docutils literal notranslate"><span class="pre">LowResLoss.get_config()</span></code></a></li>
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+    <h1>sup3r.utilities.loss_metrics.MaterialDerivativeLoss</h1>
+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.MaterialDerivativeLoss"><code class="docutils literal notranslate"><span class="pre">MaterialDerivativeLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.MaterialDerivativeLoss.__call__"><code class="docutils literal notranslate"><span class="pre">MaterialDerivativeLoss.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.MaterialDerivativeLoss.call"><code class="docutils literal notranslate"><span class="pre">MaterialDerivativeLoss.call()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.MaterialDerivativeLoss.from_config"><code class="docutils literal notranslate"><span class="pre">MaterialDerivativeLoss.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.MaterialDerivativeLoss.get_config"><code class="docutils literal notranslate"><span class="pre">MaterialDerivativeLoss.get_config()</span></code></a></li>
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+  <section id="sup3r-utilities-loss-metrics-materialderivativeloss">
+<h1>sup3r.utilities.loss_metrics.MaterialDerivativeLoss<a class="headerlink" href="#sup3r-utilities-loss-metrics-materialderivativeloss" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.MaterialDerivativeLoss">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">MaterialDerivativeLoss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#MaterialDerivativeLoss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.MaterialDerivativeLoss" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Loss</span></code></p>
+<p>Loss class for the material derivative. This is the left hand side of
+the Navier-Stokes equation and is equal to internal + external forces
+divided by density.</p>
+<p class="rubric">References</p>
+<p><a class="reference external" href="https://en.wikipedia.org/wiki/Material_derivative">https://en.wikipedia.org/wiki/Material_derivative</a></p>
+<p>Initializes <cite>Loss</cite> class.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>reduction: Type of <cite>tf.keras.losses.Reduction</cite> to apply to</dt><dd><p>loss. Default value is <cite>AUTO</cite>. <cite>AUTO</cite> indicates that the
+reduction option will be determined by the usage context. For
+almost all cases this defaults to <cite>SUM_OVER_BATCH_SIZE</cite>. When
+used under a <cite>tf.distribute.Strategy</cite>, except via
+<cite>Model.compile()</cite> and <cite>Model.fit()</cite>, using <cite>AUTO</cite> or
+<cite>SUM_OVER_BATCH_SIZE</cite> will raise an error. Please see this
+custom training [tutorial](
+<a class="reference external" href="https://www.tensorflow.org/tutorials/distribute/custom_training">https://www.tensorflow.org/tutorials/distribute/custom_training</a>)
+for more details.</p>
+</dd>
+</dl>
+<p>name: Optional name for the instance.</p>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.MaterialDerivativeLoss.call" title="sup3r.utilities.loss_metrics.MaterialDerivativeLoss.call"><code class="xref py py-obj docutils literal notranslate"><span class="pre">call</span></code></a>(y_true, y_pred)</p></td>
+<td><p>Invokes the <cite>Loss</cite> instance.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.MaterialDerivativeLoss.from_config" title="sup3r.utilities.loss_metrics.MaterialDerivativeLoss.from_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_config</span></code></a>(config)</p></td>
+<td><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.MaterialDerivativeLoss.get_config" title="sup3r.utilities.loss_metrics.MaterialDerivativeLoss.get_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_config</span></code></a>()</p></td>
+<td><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">LOSS_METRIC</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.MaterialDerivativeLoss.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x2</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#MaterialDerivativeLoss.__call__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.MaterialDerivativeLoss.__call__" title="Link to this definition">#</a></dt>
+<dd><p>Custom content loss that encourages accuracy of the material
+derivative. This assumes that the first 2 * N features are N u/v
+wind components at different hub heights and that the total number of
+features is either 2 * N or 2 * N + 1</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x1</strong> (<em>tf.tensor</em>) – synthetic generator output
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>x2</strong> (<em>tf.tensor</em>) – high resolution data
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>tf.tensor</em> – 0D tensor with loss value</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.MaterialDerivativeLoss.call">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_pred</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.MaterialDerivativeLoss.call" title="Link to this definition">#</a></dt>
+<dd><p>Invokes the <cite>Loss</cite> instance.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>y_true: Ground truth values. shape = <cite>[batch_size, d0, .. dN]</cite>,</dt><dd><p>except sparse loss functions such as sparse categorical
+crossentropy where shape = <cite>[batch_size, d0, .. dN-1]</cite></p>
+</dd>
+</dl>
+<p>y_pred: The predicted values. shape = <cite>[batch_size, d0, .. dN]</cite></p>
+</dd>
+<dt>Returns:</dt><dd><p>Loss values with the shape <cite>[batch_size, d0, .. dN-1]</cite>.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.MaterialDerivativeLoss.from_config">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.MaterialDerivativeLoss.from_config" title="Link to this definition">#</a></dt>
+<dd><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p>
+<dl class="simple">
+<dt>Args:</dt><dd><p>config: Output of <cite>get_config()</cite>.</p>
+</dd>
+<dt>Returns:</dt><dd><p>A <cite>Loss</cite> instance.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.MaterialDerivativeLoss.get_config">
+<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.MaterialDerivativeLoss.get_config" title="Link to this definition">#</a></dt>
+<dd><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.MaterialDerivativeLoss"><code class="docutils literal notranslate"><span class="pre">MaterialDerivativeLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.MaterialDerivativeLoss.__call__"><code class="docutils literal notranslate"><span class="pre">MaterialDerivativeLoss.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.MaterialDerivativeLoss.call"><code class="docutils literal notranslate"><span class="pre">MaterialDerivativeLoss.call()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.MaterialDerivativeLoss.from_config"><code class="docutils literal notranslate"><span class="pre">MaterialDerivativeLoss.from_config()</span></code></a></li>
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+    <h1>sup3r.utilities.loss_metrics.MmdLoss</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.MmdLoss"><code class="docutils literal notranslate"><span class="pre">MmdLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.MmdLoss.__call__"><code class="docutils literal notranslate"><span class="pre">MmdLoss.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.MmdLoss.call"><code class="docutils literal notranslate"><span class="pre">MmdLoss.call()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.MmdLoss.from_config"><code class="docutils literal notranslate"><span class="pre">MmdLoss.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.MmdLoss.get_config"><code class="docutils literal notranslate"><span class="pre">MmdLoss.get_config()</span></code></a></li>
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+  <section id="sup3r-utilities-loss-metrics-mmdloss">
+<h1>sup3r.utilities.loss_metrics.MmdLoss<a class="headerlink" href="#sup3r-utilities-loss-metrics-mmdloss" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.MmdLoss">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">MmdLoss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#MmdLoss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.MmdLoss" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Loss</span></code></p>
+<p>Loss class for max mean discrepancy loss</p>
+<p>Initializes <cite>Loss</cite> class.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>reduction: Type of <cite>tf.keras.losses.Reduction</cite> to apply to</dt><dd><p>loss. Default value is <cite>AUTO</cite>. <cite>AUTO</cite> indicates that the
+reduction option will be determined by the usage context. For
+almost all cases this defaults to <cite>SUM_OVER_BATCH_SIZE</cite>. When
+used under a <cite>tf.distribute.Strategy</cite>, except via
+<cite>Model.compile()</cite> and <cite>Model.fit()</cite>, using <cite>AUTO</cite> or
+<cite>SUM_OVER_BATCH_SIZE</cite> will raise an error. Please see this
+custom training [tutorial](
+<a class="reference external" href="https://www.tensorflow.org/tutorials/distribute/custom_training">https://www.tensorflow.org/tutorials/distribute/custom_training</a>)
+for more details.</p>
+</dd>
+</dl>
+<p>name: Optional name for the instance.</p>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.MmdLoss.call" title="sup3r.utilities.loss_metrics.MmdLoss.call"><code class="xref py py-obj docutils literal notranslate"><span class="pre">call</span></code></a>(y_true, y_pred)</p></td>
+<td><p>Invokes the <cite>Loss</cite> instance.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.MmdLoss.from_config" title="sup3r.utilities.loss_metrics.MmdLoss.from_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_config</span></code></a>(config)</p></td>
+<td><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.MmdLoss.get_config" title="sup3r.utilities.loss_metrics.MmdLoss.get_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_config</span></code></a>()</p></td>
+<td><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.MmdLoss.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sigma</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#MmdLoss.__call__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.MmdLoss.__call__" title="Link to this definition">#</a></dt>
+<dd><p>Maximum mean discrepancy (MMD) based on Gaussian kernel function
+for keras models</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x1</strong> (<em>tf.tensor</em>) – synthetic generator output
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>x2</strong> (<em>tf.tensor</em>) – high resolution data
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>sigma</strong> (<em>float</em>) – standard deviation for gaussian kernel</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>tf.tensor</em> – 0D tensor with loss value</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.MmdLoss.call">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_pred</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.MmdLoss.call" title="Link to this definition">#</a></dt>
+<dd><p>Invokes the <cite>Loss</cite> instance.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>y_true: Ground truth values. shape = <cite>[batch_size, d0, .. dN]</cite>,</dt><dd><p>except sparse loss functions such as sparse categorical
+crossentropy where shape = <cite>[batch_size, d0, .. dN-1]</cite></p>
+</dd>
+</dl>
+<p>y_pred: The predicted values. shape = <cite>[batch_size, d0, .. dN]</cite></p>
+</dd>
+<dt>Returns:</dt><dd><p>Loss values with the shape <cite>[batch_size, d0, .. dN-1]</cite>.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.MmdLoss.from_config">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.MmdLoss.from_config" title="Link to this definition">#</a></dt>
+<dd><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p>
+<dl class="simple">
+<dt>Args:</dt><dd><p>config: Output of <cite>get_config()</cite>.</p>
+</dd>
+<dt>Returns:</dt><dd><p>A <cite>Loss</cite> instance.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.MmdLoss.get_config">
+<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.MmdLoss.get_config" title="Link to this definition">#</a></dt>
+<dd><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
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+    <h1>sup3r.utilities.loss_metrics.MmdMseLoss</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.MmdMseLoss"><code class="docutils literal notranslate"><span class="pre">MmdMseLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.MmdMseLoss.__call__"><code class="docutils literal notranslate"><span class="pre">MmdMseLoss.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.MmdMseLoss.call"><code class="docutils literal notranslate"><span class="pre">MmdMseLoss.call()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.MmdMseLoss.from_config"><code class="docutils literal notranslate"><span class="pre">MmdMseLoss.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.MmdMseLoss.get_config"><code class="docutils literal notranslate"><span class="pre">MmdMseLoss.get_config()</span></code></a></li>
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+                  
+  <section id="sup3r-utilities-loss-metrics-mmdmseloss">
+<h1>sup3r.utilities.loss_metrics.MmdMseLoss<a class="headerlink" href="#sup3r-utilities-loss-metrics-mmdmseloss" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.MmdMseLoss">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">MmdMseLoss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#MmdMseLoss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.MmdMseLoss" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Loss</span></code></p>
+<p>Loss class for MMD + MSE</p>
+<p>Initializes <cite>Loss</cite> class.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>reduction: Type of <cite>tf.keras.losses.Reduction</cite> to apply to</dt><dd><p>loss. Default value is <cite>AUTO</cite>. <cite>AUTO</cite> indicates that the
+reduction option will be determined by the usage context. For
+almost all cases this defaults to <cite>SUM_OVER_BATCH_SIZE</cite>. When
+used under a <cite>tf.distribute.Strategy</cite>, except via
+<cite>Model.compile()</cite> and <cite>Model.fit()</cite>, using <cite>AUTO</cite> or
+<cite>SUM_OVER_BATCH_SIZE</cite> will raise an error. Please see this
+custom training [tutorial](
+<a class="reference external" href="https://www.tensorflow.org/tutorials/distribute/custom_training">https://www.tensorflow.org/tutorials/distribute/custom_training</a>)
+for more details.</p>
+</dd>
+</dl>
+<p>name: Optional name for the instance.</p>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.MmdMseLoss.call" title="sup3r.utilities.loss_metrics.MmdMseLoss.call"><code class="xref py py-obj docutils literal notranslate"><span class="pre">call</span></code></a>(y_true, y_pred)</p></td>
+<td><p>Invokes the <cite>Loss</cite> instance.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.MmdMseLoss.from_config" title="sup3r.utilities.loss_metrics.MmdMseLoss.from_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_config</span></code></a>(config)</p></td>
+<td><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.MmdMseLoss.get_config" title="sup3r.utilities.loss_metrics.MmdMseLoss.get_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_config</span></code></a>()</p></td>
+<td><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">MMD_LOSS</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">MSE_LOSS</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.MmdMseLoss.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sigma</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#MmdMseLoss.__call__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.MmdMseLoss.__call__" title="Link to this definition">#</a></dt>
+<dd><p>Maximum mean discrepancy (MMD) based on Gaussian kernel function
+for keras models plus the typical MSE loss.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x1</strong> (<em>tf.tensor</em>) – synthetic generator output
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>x2</strong> (<em>tf.tensor</em>) – high resolution data
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>sigma</strong> (<em>float</em>) – standard deviation for gaussian kernel</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>tf.tensor</em> – 0D tensor with loss value</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.MmdMseLoss.call">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_pred</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.MmdMseLoss.call" title="Link to this definition">#</a></dt>
+<dd><p>Invokes the <cite>Loss</cite> instance.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>y_true: Ground truth values. shape = <cite>[batch_size, d0, .. dN]</cite>,</dt><dd><p>except sparse loss functions such as sparse categorical
+crossentropy where shape = <cite>[batch_size, d0, .. dN-1]</cite></p>
+</dd>
+</dl>
+<p>y_pred: The predicted values. shape = <cite>[batch_size, d0, .. dN]</cite></p>
+</dd>
+<dt>Returns:</dt><dd><p>Loss values with the shape <cite>[batch_size, d0, .. dN-1]</cite>.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.MmdMseLoss.from_config">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.MmdMseLoss.from_config" title="Link to this definition">#</a></dt>
+<dd><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p>
+<dl class="simple">
+<dt>Args:</dt><dd><p>config: Output of <cite>get_config()</cite>.</p>
+</dd>
+<dt>Returns:</dt><dd><p>A <cite>Loss</cite> instance.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.MmdMseLoss.get_config">
+<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.MmdMseLoss.get_config" title="Link to this definition">#</a></dt>
+<dd><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
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+    <h1>sup3r.utilities.loss_metrics.MseExpLoss</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.MseExpLoss"><code class="docutils literal notranslate"><span class="pre">MseExpLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.MseExpLoss.__call__"><code class="docutils literal notranslate"><span class="pre">MseExpLoss.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.MseExpLoss.call"><code class="docutils literal notranslate"><span class="pre">MseExpLoss.call()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.MseExpLoss.from_config"><code class="docutils literal notranslate"><span class="pre">MseExpLoss.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.MseExpLoss.get_config"><code class="docutils literal notranslate"><span class="pre">MseExpLoss.get_config()</span></code></a></li>
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+                  
+  <section id="sup3r-utilities-loss-metrics-mseexploss">
+<h1>sup3r.utilities.loss_metrics.MseExpLoss<a class="headerlink" href="#sup3r-utilities-loss-metrics-mseexploss" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.MseExpLoss">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">MseExpLoss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#MseExpLoss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.MseExpLoss" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Loss</span></code></p>
+<p>Loss class for mse + squared exponential difference</p>
+<p>Initializes <cite>Loss</cite> class.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>reduction: Type of <cite>tf.keras.losses.Reduction</cite> to apply to</dt><dd><p>loss. Default value is <cite>AUTO</cite>. <cite>AUTO</cite> indicates that the
+reduction option will be determined by the usage context. For
+almost all cases this defaults to <cite>SUM_OVER_BATCH_SIZE</cite>. When
+used under a <cite>tf.distribute.Strategy</cite>, except via
+<cite>Model.compile()</cite> and <cite>Model.fit()</cite>, using <cite>AUTO</cite> or
+<cite>SUM_OVER_BATCH_SIZE</cite> will raise an error. Please see this
+custom training [tutorial](
+<a class="reference external" href="https://www.tensorflow.org/tutorials/distribute/custom_training">https://www.tensorflow.org/tutorials/distribute/custom_training</a>)
+for more details.</p>
+</dd>
+</dl>
+<p>name: Optional name for the instance.</p>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.MseExpLoss.call" title="sup3r.utilities.loss_metrics.MseExpLoss.call"><code class="xref py py-obj docutils literal notranslate"><span class="pre">call</span></code></a>(y_true, y_pred)</p></td>
+<td><p>Invokes the <cite>Loss</cite> instance.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.MseExpLoss.from_config" title="sup3r.utilities.loss_metrics.MseExpLoss.from_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_config</span></code></a>(config)</p></td>
+<td><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.MseExpLoss.get_config" title="sup3r.utilities.loss_metrics.MseExpLoss.get_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_config</span></code></a>()</p></td>
+<td><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">MSE_LOSS</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.MseExpLoss.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x2</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#MseExpLoss.__call__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.MseExpLoss.__call__" title="Link to this definition">#</a></dt>
+<dd><p>Mse + Exponential difference loss function</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x1</strong> (<em>tf.tensor</em>) – synthetic generator output
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>x2</strong> (<em>tf.tensor</em>) – high resolution data
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>tf.tensor</em> – 0D tensor with loss value</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.MseExpLoss.call">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_pred</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.MseExpLoss.call" title="Link to this definition">#</a></dt>
+<dd><p>Invokes the <cite>Loss</cite> instance.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>y_true: Ground truth values. shape = <cite>[batch_size, d0, .. dN]</cite>,</dt><dd><p>except sparse loss functions such as sparse categorical
+crossentropy where shape = <cite>[batch_size, d0, .. dN-1]</cite></p>
+</dd>
+</dl>
+<p>y_pred: The predicted values. shape = <cite>[batch_size, d0, .. dN]</cite></p>
+</dd>
+<dt>Returns:</dt><dd><p>Loss values with the shape <cite>[batch_size, d0, .. dN-1]</cite>.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.MseExpLoss.from_config">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.MseExpLoss.from_config" title="Link to this definition">#</a></dt>
+<dd><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p>
+<dl class="simple">
+<dt>Args:</dt><dd><p>config: Output of <cite>get_config()</cite>.</p>
+</dd>
+<dt>Returns:</dt><dd><p>A <cite>Loss</cite> instance.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.MseExpLoss.get_config">
+<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.MseExpLoss.get_config" title="Link to this definition">#</a></dt>
+<dd><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
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+    <h1>sup3r.utilities.loss_metrics.SpatialExtremesLoss</h1>
+    <!-- Table of contents -->
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+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatialExtremesLoss"><code class="docutils literal notranslate"><span class="pre">SpatialExtremesLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatialExtremesLoss.__call__"><code class="docutils literal notranslate"><span class="pre">SpatialExtremesLoss.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatialExtremesLoss.call"><code class="docutils literal notranslate"><span class="pre">SpatialExtremesLoss.call()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatialExtremesLoss.from_config"><code class="docutils literal notranslate"><span class="pre">SpatialExtremesLoss.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatialExtremesLoss.get_config"><code class="docutils literal notranslate"><span class="pre">SpatialExtremesLoss.get_config()</span></code></a></li>
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+  <section id="sup3r-utilities-loss-metrics-spatialextremesloss">
+<h1>sup3r.utilities.loss_metrics.SpatialExtremesLoss<a class="headerlink" href="#sup3r-utilities-loss-metrics-spatialextremesloss" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatialExtremesLoss">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">SpatialExtremesLoss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">weight</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#SpatialExtremesLoss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.SpatialExtremesLoss" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Loss</span></code></p>
+<p>Loss class that encourages accuracy of the min/max values in the
+spatial domain</p>
+<p>Initialize the loss with given weight</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>weight</strong> (<em>float</em>) – Weight for min/max loss terms. Setting this to zero turns
+loss into MAE.</p>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.SpatialExtremesLoss.call" title="sup3r.utilities.loss_metrics.SpatialExtremesLoss.call"><code class="xref py py-obj docutils literal notranslate"><span class="pre">call</span></code></a>(y_true, y_pred)</p></td>
+<td><p>Invokes the <cite>Loss</cite> instance.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.SpatialExtremesLoss.from_config" title="sup3r.utilities.loss_metrics.SpatialExtremesLoss.from_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_config</span></code></a>(config)</p></td>
+<td><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.SpatialExtremesLoss.get_config" title="sup3r.utilities.loss_metrics.SpatialExtremesLoss.get_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_config</span></code></a>()</p></td>
+<td><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">EX_LOSS</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">MAE_LOSS</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatialExtremesLoss.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x2</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#SpatialExtremesLoss.__call__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.SpatialExtremesLoss.__call__" title="Link to this definition">#</a></dt>
+<dd><p>Custom content loss that encourages temporal min/max accuracy</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x1</strong> (<em>tf.tensor</em>) – synthetic generator output
+(n_observations, spatial_1, spatial_2, features)</p></li>
+<li><p><strong>x2</strong> (<em>tf.tensor</em>) – high resolution data
+(n_observations, spatial_1, spatial_2, features)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>tf.tensor</em> – 0D tensor with loss value</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatialExtremesLoss.call">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_pred</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.SpatialExtremesLoss.call" title="Link to this definition">#</a></dt>
+<dd><p>Invokes the <cite>Loss</cite> instance.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>y_true: Ground truth values. shape = <cite>[batch_size, d0, .. dN]</cite>,</dt><dd><p>except sparse loss functions such as sparse categorical
+crossentropy where shape = <cite>[batch_size, d0, .. dN-1]</cite></p>
+</dd>
+</dl>
+<p>y_pred: The predicted values. shape = <cite>[batch_size, d0, .. dN]</cite></p>
+</dd>
+<dt>Returns:</dt><dd><p>Loss values with the shape <cite>[batch_size, d0, .. dN-1]</cite>.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatialExtremesLoss.from_config">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.SpatialExtremesLoss.from_config" title="Link to this definition">#</a></dt>
+<dd><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p>
+<dl class="simple">
+<dt>Args:</dt><dd><p>config: Output of <cite>get_config()</cite>.</p>
+</dd>
+<dt>Returns:</dt><dd><p>A <cite>Loss</cite> instance.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatialExtremesLoss.get_config">
+<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.SpatialExtremesLoss.get_config" title="Link to this definition">#</a></dt>
+<dd><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
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+    <h1>sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss"><code class="docutils literal notranslate"><span class="pre">SpatialExtremesOnlyLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.__call__"><code class="docutils literal notranslate"><span class="pre">SpatialExtremesOnlyLoss.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.call"><code class="docutils literal notranslate"><span class="pre">SpatialExtremesOnlyLoss.call()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.from_config"><code class="docutils literal notranslate"><span class="pre">SpatialExtremesOnlyLoss.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.get_config"><code class="docutils literal notranslate"><span class="pre">SpatialExtremesOnlyLoss.get_config()</span></code></a></li>
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+                  
+  <section id="sup3r-utilities-loss-metrics-spatialextremesonlyloss">
+<h1>sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss<a class="headerlink" href="#sup3r-utilities-loss-metrics-spatialextremesonlyloss" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">SpatialExtremesOnlyLoss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#SpatialExtremesOnlyLoss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Loss</span></code></p>
+<p>Loss class that encourages accuracy of the min/max values in the
+spatial domain. This does not include an additional MAE term</p>
+<p>Initializes <cite>Loss</cite> class.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>reduction: Type of <cite>tf.keras.losses.Reduction</cite> to apply to</dt><dd><p>loss. Default value is <cite>AUTO</cite>. <cite>AUTO</cite> indicates that the
+reduction option will be determined by the usage context. For
+almost all cases this defaults to <cite>SUM_OVER_BATCH_SIZE</cite>. When
+used under a <cite>tf.distribute.Strategy</cite>, except via
+<cite>Model.compile()</cite> and <cite>Model.fit()</cite>, using <cite>AUTO</cite> or
+<cite>SUM_OVER_BATCH_SIZE</cite> will raise an error. Please see this
+custom training [tutorial](
+<a class="reference external" href="https://www.tensorflow.org/tutorials/distribute/custom_training">https://www.tensorflow.org/tutorials/distribute/custom_training</a>)
+for more details.</p>
+</dd>
+</dl>
+<p>name: Optional name for the instance.</p>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.call" title="sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.call"><code class="xref py py-obj docutils literal notranslate"><span class="pre">call</span></code></a>(y_true, y_pred)</p></td>
+<td><p>Invokes the <cite>Loss</cite> instance.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.from_config" title="sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.from_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_config</span></code></a>(config)</p></td>
+<td><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.get_config" title="sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.get_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_config</span></code></a>()</p></td>
+<td><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">MAE_LOSS</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x2</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#SpatialExtremesOnlyLoss.__call__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.__call__" title="Link to this definition">#</a></dt>
+<dd><p>Custom content loss that encourages temporal min/max accuracy</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x1</strong> (<em>tf.tensor</em>) – synthetic generator output
+(n_observations, spatial_1, spatial_2, features)</p></li>
+<li><p><strong>x2</strong> (<em>tf.tensor</em>) – high resolution data
+(n_observations, spatial_1, spatial_2, features)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>tf.tensor</em> – 0D tensor with loss value</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.call">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_pred</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.call" title="Link to this definition">#</a></dt>
+<dd><p>Invokes the <cite>Loss</cite> instance.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>y_true: Ground truth values. shape = <cite>[batch_size, d0, .. dN]</cite>,</dt><dd><p>except sparse loss functions such as sparse categorical
+crossentropy where shape = <cite>[batch_size, d0, .. dN-1]</cite></p>
+</dd>
+</dl>
+<p>y_pred: The predicted values. shape = <cite>[batch_size, d0, .. dN]</cite></p>
+</dd>
+<dt>Returns:</dt><dd><p>Loss values with the shape <cite>[batch_size, d0, .. dN-1]</cite>.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.from_config">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.from_config" title="Link to this definition">#</a></dt>
+<dd><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p>
+<dl class="simple">
+<dt>Args:</dt><dd><p>config: Output of <cite>get_config()</cite>.</p>
+</dd>
+<dt>Returns:</dt><dd><p>A <cite>Loss</cite> instance.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.get_config">
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+<dd><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss"><code class="docutils literal notranslate"><span class="pre">SpatialExtremesOnlyLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.__call__"><code class="docutils literal notranslate"><span class="pre">SpatialExtremesOnlyLoss.__call__()</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.from_config"><code class="docutils literal notranslate"><span class="pre">SpatialExtremesOnlyLoss.from_config()</span></code></a></li>
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+    <h1>sup3r.utilities.loss_metrics.SpatialFftOnlyLoss</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss"><code class="docutils literal notranslate"><span class="pre">SpatialFftOnlyLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.__call__"><code class="docutils literal notranslate"><span class="pre">SpatialFftOnlyLoss.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.call"><code class="docutils literal notranslate"><span class="pre">SpatialFftOnlyLoss.call()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.from_config"><code class="docutils literal notranslate"><span class="pre">SpatialFftOnlyLoss.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.get_config"><code class="docutils literal notranslate"><span class="pre">SpatialFftOnlyLoss.get_config()</span></code></a></li>
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+                  
+  <section id="sup3r-utilities-loss-metrics-spatialfftonlyloss">
+<h1>sup3r.utilities.loss_metrics.SpatialFftOnlyLoss<a class="headerlink" href="#sup3r-utilities-loss-metrics-spatialfftonlyloss" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatialFftOnlyLoss">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">SpatialFftOnlyLoss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#SpatialFftOnlyLoss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Loss</span></code></p>
+<p>Loss class that encourages accuracy of the spatial frequency spectrum</p>
+<p>Initializes <cite>Loss</cite> class.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>reduction: Type of <cite>tf.keras.losses.Reduction</cite> to apply to</dt><dd><p>loss. Default value is <cite>AUTO</cite>. <cite>AUTO</cite> indicates that the
+reduction option will be determined by the usage context. For
+almost all cases this defaults to <cite>SUM_OVER_BATCH_SIZE</cite>. When
+used under a <cite>tf.distribute.Strategy</cite>, except via
+<cite>Model.compile()</cite> and <cite>Model.fit()</cite>, using <cite>AUTO</cite> or
+<cite>SUM_OVER_BATCH_SIZE</cite> will raise an error. Please see this
+custom training [tutorial](
+<a class="reference external" href="https://www.tensorflow.org/tutorials/distribute/custom_training">https://www.tensorflow.org/tutorials/distribute/custom_training</a>)
+for more details.</p>
+</dd>
+</dl>
+<p>name: Optional name for the instance.</p>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.call" title="sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.call"><code class="xref py py-obj docutils literal notranslate"><span class="pre">call</span></code></a>(y_true, y_pred)</p></td>
+<td><p>Invokes the <cite>Loss</cite> instance.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.from_config" title="sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.from_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_config</span></code></a>(config)</p></td>
+<td><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.get_config" title="sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.get_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_config</span></code></a>()</p></td>
+<td><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">MAE_LOSS</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x2</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#SpatialFftOnlyLoss.__call__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.__call__" title="Link to this definition">#</a></dt>
+<dd><p>Custom content loss that encourages frequency domain accuracy</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x1</strong> (<em>tf.tensor</em>) – synthetic generator output
+(n_observations, spatial_1, spatial_2, features)</p></li>
+<li><p><strong>x2</strong> (<em>tf.tensor</em>) – high resolution data
+(n_observations, spatial_1, spatial_2, features)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>tf.tensor</em> – 0D tensor with loss value</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.call">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_pred</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.call" title="Link to this definition">#</a></dt>
+<dd><p>Invokes the <cite>Loss</cite> instance.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>y_true: Ground truth values. shape = <cite>[batch_size, d0, .. dN]</cite>,</dt><dd><p>except sparse loss functions such as sparse categorical
+crossentropy where shape = <cite>[batch_size, d0, .. dN-1]</cite></p>
+</dd>
+</dl>
+<p>y_pred: The predicted values. shape = <cite>[batch_size, d0, .. dN]</cite></p>
+</dd>
+<dt>Returns:</dt><dd><p>Loss values with the shape <cite>[batch_size, d0, .. dN-1]</cite>.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.from_config">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.from_config" title="Link to this definition">#</a></dt>
+<dd><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p>
+<dl class="simple">
+<dt>Args:</dt><dd><p>config: Output of <cite>get_config()</cite>.</p>
+</dd>
+<dt>Returns:</dt><dd><p>A <cite>Loss</cite> instance.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.get_config">
+<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.get_config" title="Link to this definition">#</a></dt>
+<dd><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p>
+</dd></dl>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss"><code class="docutils literal notranslate"><span class="pre">SpatialFftOnlyLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.__call__"><code class="docutils literal notranslate"><span class="pre">SpatialFftOnlyLoss.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.call"><code class="docutils literal notranslate"><span class="pre">SpatialFftOnlyLoss.call()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.from_config"><code class="docutils literal notranslate"><span class="pre">SpatialFftOnlyLoss.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.get_config"><code class="docutils literal notranslate"><span class="pre">SpatialFftOnlyLoss.get_config()</span></code></a></li>
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+    <h1>sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss"><code class="docutils literal notranslate"><span class="pre">SpatiotemporalExtremesLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.__call__"><code class="docutils literal notranslate"><span class="pre">SpatiotemporalExtremesLoss.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.call"><code class="docutils literal notranslate"><span class="pre">SpatiotemporalExtremesLoss.call()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.from_config"><code class="docutils literal notranslate"><span class="pre">SpatiotemporalExtremesLoss.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.get_config"><code class="docutils literal notranslate"><span class="pre">SpatiotemporalExtremesLoss.get_config()</span></code></a></li>
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+                  
+  <section id="sup3r-utilities-loss-metrics-spatiotemporalextremesloss">
+<h1>sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss<a class="headerlink" href="#sup3r-utilities-loss-metrics-spatiotemporalextremesloss" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">SpatiotemporalExtremesLoss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spatial_weight</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_weight</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#SpatiotemporalExtremesLoss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Loss</span></code></p>
+<p>Loss class that encourages accuracy of the min/max values across both
+space and time</p>
+<p>Initialize the loss with given weight</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>spatial_weight</strong> (<em>float</em>) – Weight for spatial min/max loss terms.</p></li>
+<li><p><strong>temporal_weight</strong> (<em>float</em>) – Weight for temporal min/max loss terms.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.call" title="sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.call"><code class="xref py py-obj docutils literal notranslate"><span class="pre">call</span></code></a>(y_true, y_pred)</p></td>
+<td><p>Invokes the <cite>Loss</cite> instance.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.from_config" title="sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.from_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_config</span></code></a>(config)</p></td>
+<td><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.get_config" title="sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.get_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_config</span></code></a>()</p></td>
+<td><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">MAE_LOSS</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">S_EX_LOSS</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">T_EX_LOSS</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x2</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#SpatiotemporalExtremesLoss.__call__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.__call__" title="Link to this definition">#</a></dt>
+<dd><p>Custom content loss that encourages spatiotemporal min/max accuracy.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x1</strong> (<em>tf.tensor</em>) – synthetic generator output
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>x2</strong> (<em>tf.tensor</em>) – high resolution data
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>tf.tensor</em> – 0D tensor with loss value</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.call">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_pred</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.call" title="Link to this definition">#</a></dt>
+<dd><p>Invokes the <cite>Loss</cite> instance.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>y_true: Ground truth values. shape = <cite>[batch_size, d0, .. dN]</cite>,</dt><dd><p>except sparse loss functions such as sparse categorical
+crossentropy where shape = <cite>[batch_size, d0, .. dN-1]</cite></p>
+</dd>
+</dl>
+<p>y_pred: The predicted values. shape = <cite>[batch_size, d0, .. dN]</cite></p>
+</dd>
+<dt>Returns:</dt><dd><p>Loss values with the shape <cite>[batch_size, d0, .. dN-1]</cite>.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.from_config">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.from_config" title="Link to this definition">#</a></dt>
+<dd><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p>
+<dl class="simple">
+<dt>Args:</dt><dd><p>config: Output of <cite>get_config()</cite>.</p>
+</dd>
+<dt>Returns:</dt><dd><p>A <cite>Loss</cite> instance.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.get_config">
+<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.get_config" title="Link to this definition">#</a></dt>
+<dd><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p>
+</dd></dl>
+
+</dd></dl>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss"><code class="docutils literal notranslate"><span class="pre">SpatiotemporalExtremesLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.__call__"><code class="docutils literal notranslate"><span class="pre">SpatiotemporalExtremesLoss.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.call"><code class="docutils literal notranslate"><span class="pre">SpatiotemporalExtremesLoss.call()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.from_config"><code class="docutils literal notranslate"><span class="pre">SpatiotemporalExtremesLoss.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.get_config"><code class="docutils literal notranslate"><span class="pre">SpatiotemporalExtremesLoss.get_config()</span></code></a></li>
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+    <h1>sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss"><code class="docutils literal notranslate"><span class="pre">SpatiotemporalFftOnlyLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.__call__"><code class="docutils literal notranslate"><span class="pre">SpatiotemporalFftOnlyLoss.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.call"><code class="docutils literal notranslate"><span class="pre">SpatiotemporalFftOnlyLoss.call()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.from_config"><code class="docutils literal notranslate"><span class="pre">SpatiotemporalFftOnlyLoss.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.get_config"><code class="docutils literal notranslate"><span class="pre">SpatiotemporalFftOnlyLoss.get_config()</span></code></a></li>
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+</div>
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+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-utilities-loss-metrics-spatiotemporalfftonlyloss">
+<h1>sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss<a class="headerlink" href="#sup3r-utilities-loss-metrics-spatiotemporalfftonlyloss" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">SpatiotemporalFftOnlyLoss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#SpatiotemporalFftOnlyLoss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Loss</span></code></p>
+<p>Loss class that encourages accuracy of the spatiotemporal frequency
+spectrum</p>
+<p>Initializes <cite>Loss</cite> class.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>reduction: Type of <cite>tf.keras.losses.Reduction</cite> to apply to</dt><dd><p>loss. Default value is <cite>AUTO</cite>. <cite>AUTO</cite> indicates that the
+reduction option will be determined by the usage context. For
+almost all cases this defaults to <cite>SUM_OVER_BATCH_SIZE</cite>. When
+used under a <cite>tf.distribute.Strategy</cite>, except via
+<cite>Model.compile()</cite> and <cite>Model.fit()</cite>, using <cite>AUTO</cite> or
+<cite>SUM_OVER_BATCH_SIZE</cite> will raise an error. Please see this
+custom training [tutorial](
+<a class="reference external" href="https://www.tensorflow.org/tutorials/distribute/custom_training">https://www.tensorflow.org/tutorials/distribute/custom_training</a>)
+for more details.</p>
+</dd>
+</dl>
+<p>name: Optional name for the instance.</p>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.call" title="sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.call"><code class="xref py py-obj docutils literal notranslate"><span class="pre">call</span></code></a>(y_true, y_pred)</p></td>
+<td><p>Invokes the <cite>Loss</cite> instance.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.from_config" title="sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.from_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_config</span></code></a>(config)</p></td>
+<td><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.get_config" title="sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.get_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_config</span></code></a>()</p></td>
+<td><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">MAE_LOSS</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x2</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#SpatiotemporalFftOnlyLoss.__call__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.__call__" title="Link to this definition">#</a></dt>
+<dd><p>Custom content loss that encourages frequency domain accuracy</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x1</strong> (<em>tf.tensor</em>) – synthetic generator output
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>x2</strong> (<em>tf.tensor</em>) – high resolution data
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>tf.tensor</em> – 0D tensor with loss value</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.call">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_pred</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.call" title="Link to this definition">#</a></dt>
+<dd><p>Invokes the <cite>Loss</cite> instance.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>y_true: Ground truth values. shape = <cite>[batch_size, d0, .. dN]</cite>,</dt><dd><p>except sparse loss functions such as sparse categorical
+crossentropy where shape = <cite>[batch_size, d0, .. dN-1]</cite></p>
+</dd>
+</dl>
+<p>y_pred: The predicted values. shape = <cite>[batch_size, d0, .. dN]</cite></p>
+</dd>
+<dt>Returns:</dt><dd><p>Loss values with the shape <cite>[batch_size, d0, .. dN-1]</cite>.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.from_config">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.from_config" title="Link to this definition">#</a></dt>
+<dd><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p>
+<dl class="simple">
+<dt>Args:</dt><dd><p>config: Output of <cite>get_config()</cite>.</p>
+</dd>
+<dt>Returns:</dt><dd><p>A <cite>Loss</cite> instance.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.get_config">
+<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.get_config" title="Link to this definition">#</a></dt>
+<dd><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p>
+</dd></dl>
+
+</dd></dl>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss"><code class="docutils literal notranslate"><span class="pre">SpatiotemporalFftOnlyLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.__call__"><code class="docutils literal notranslate"><span class="pre">SpatiotemporalFftOnlyLoss.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.call"><code class="docutils literal notranslate"><span class="pre">SpatiotemporalFftOnlyLoss.call()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.from_config"><code class="docutils literal notranslate"><span class="pre">SpatiotemporalFftOnlyLoss.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.get_config"><code class="docutils literal notranslate"><span class="pre">SpatiotemporalFftOnlyLoss.get_config()</span></code></a></li>
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+    <h1>sup3r.utilities.loss_metrics.StExtremesFftLoss</h1>
+    <!-- Table of contents -->
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+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.StExtremesFftLoss"><code class="docutils literal notranslate"><span class="pre">StExtremesFftLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.StExtremesFftLoss.__call__"><code class="docutils literal notranslate"><span class="pre">StExtremesFftLoss.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.StExtremesFftLoss.call"><code class="docutils literal notranslate"><span class="pre">StExtremesFftLoss.call()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.StExtremesFftLoss.from_config"><code class="docutils literal notranslate"><span class="pre">StExtremesFftLoss.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.StExtremesFftLoss.get_config"><code class="docutils literal notranslate"><span class="pre">StExtremesFftLoss.get_config()</span></code></a></li>
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+  <section id="sup3r-utilities-loss-metrics-stextremesfftloss">
+<h1>sup3r.utilities.loss_metrics.StExtremesFftLoss<a class="headerlink" href="#sup3r-utilities-loss-metrics-stextremesfftloss" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.StExtremesFftLoss">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">StExtremesFftLoss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spatial_weight</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_weight</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fft_weight</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#StExtremesFftLoss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.StExtremesFftLoss" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Loss</span></code></p>
+<p>Loss class that encourages accuracy of the min/max values across both
+space and time as well as frequency domain accuracy.</p>
+<p>Initialize the loss with given weight</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>spatial_weight</strong> (<em>float</em>) – Weight for spatial min/max loss terms.</p></li>
+<li><p><strong>temporal_weight</strong> (<em>float</em>) – Weight for temporal min/max loss terms.</p></li>
+<li><p><strong>fft_weight</strong> (<em>float</em>) – Weight for the fft loss term.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.StExtremesFftLoss.call" title="sup3r.utilities.loss_metrics.StExtremesFftLoss.call"><code class="xref py py-obj docutils literal notranslate"><span class="pre">call</span></code></a>(y_true, y_pred)</p></td>
+<td><p>Invokes the <cite>Loss</cite> instance.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.StExtremesFftLoss.from_config" title="sup3r.utilities.loss_metrics.StExtremesFftLoss.from_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_config</span></code></a>(config)</p></td>
+<td><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.StExtremesFftLoss.get_config" title="sup3r.utilities.loss_metrics.StExtremesFftLoss.get_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_config</span></code></a>()</p></td>
+<td><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.StExtremesFftLoss.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x2</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#StExtremesFftLoss.__call__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.StExtremesFftLoss.__call__" title="Link to this definition">#</a></dt>
+<dd><p>Custom content loss that encourages spatiotemporal min/max accuracy
+and fft accuracy.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x1</strong> (<em>tf.tensor</em>) – synthetic generator output
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>x2</strong> (<em>tf.tensor</em>) – high resolution data
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>tf.tensor</em> – 0D tensor with loss value</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.StExtremesFftLoss.call">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_pred</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.StExtremesFftLoss.call" title="Link to this definition">#</a></dt>
+<dd><p>Invokes the <cite>Loss</cite> instance.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>y_true: Ground truth values. shape = <cite>[batch_size, d0, .. dN]</cite>,</dt><dd><p>except sparse loss functions such as sparse categorical
+crossentropy where shape = <cite>[batch_size, d0, .. dN-1]</cite></p>
+</dd>
+</dl>
+<p>y_pred: The predicted values. shape = <cite>[batch_size, d0, .. dN]</cite></p>
+</dd>
+<dt>Returns:</dt><dd><p>Loss values with the shape <cite>[batch_size, d0, .. dN-1]</cite>.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.StExtremesFftLoss.from_config">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.StExtremesFftLoss.from_config" title="Link to this definition">#</a></dt>
+<dd><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p>
+<dl class="simple">
+<dt>Args:</dt><dd><p>config: Output of <cite>get_config()</cite>.</p>
+</dd>
+<dt>Returns:</dt><dd><p>A <cite>Loss</cite> instance.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.StExtremesFftLoss.get_config">
+<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.StExtremesFftLoss.get_config" title="Link to this definition">#</a></dt>
+<dd><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.StExtremesFftLoss"><code class="docutils literal notranslate"><span class="pre">StExtremesFftLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.StExtremesFftLoss.__call__"><code class="docutils literal notranslate"><span class="pre">StExtremesFftLoss.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.StExtremesFftLoss.call"><code class="docutils literal notranslate"><span class="pre">StExtremesFftLoss.call()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.StExtremesFftLoss.from_config"><code class="docutils literal notranslate"><span class="pre">StExtremesFftLoss.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.StExtremesFftLoss.get_config"><code class="docutils literal notranslate"><span class="pre">StExtremesFftLoss.get_config()</span></code></a></li>
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+    <h1>sup3r.utilities.loss_metrics.TemporalExtremesLoss</h1>
+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.TemporalExtremesLoss"><code class="docutils literal notranslate"><span class="pre">TemporalExtremesLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.TemporalExtremesLoss.__call__"><code class="docutils literal notranslate"><span class="pre">TemporalExtremesLoss.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.TemporalExtremesLoss.call"><code class="docutils literal notranslate"><span class="pre">TemporalExtremesLoss.call()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.TemporalExtremesLoss.from_config"><code class="docutils literal notranslate"><span class="pre">TemporalExtremesLoss.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.TemporalExtremesLoss.get_config"><code class="docutils literal notranslate"><span class="pre">TemporalExtremesLoss.get_config()</span></code></a></li>
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+                  
+  <section id="sup3r-utilities-loss-metrics-temporalextremesloss">
+<h1>sup3r.utilities.loss_metrics.TemporalExtremesLoss<a class="headerlink" href="#sup3r-utilities-loss-metrics-temporalextremesloss" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.TemporalExtremesLoss">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">TemporalExtremesLoss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">weight</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#TemporalExtremesLoss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.TemporalExtremesLoss" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Loss</span></code></p>
+<p>Loss class that encourages accuracy of the min/max values in the
+timeseries</p>
+<p>Initialize the loss with given weight</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>weight</strong> (<em>float</em>) – Weight for min/max loss terms. Setting this to zero turns
+loss into MAE.</p>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.TemporalExtremesLoss.call" title="sup3r.utilities.loss_metrics.TemporalExtremesLoss.call"><code class="xref py py-obj docutils literal notranslate"><span class="pre">call</span></code></a>(y_true, y_pred)</p></td>
+<td><p>Invokes the <cite>Loss</cite> instance.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.TemporalExtremesLoss.from_config" title="sup3r.utilities.loss_metrics.TemporalExtremesLoss.from_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_config</span></code></a>(config)</p></td>
+<td><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.TemporalExtremesLoss.get_config" title="sup3r.utilities.loss_metrics.TemporalExtremesLoss.get_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_config</span></code></a>()</p></td>
+<td><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">EX_LOSS</span></code></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">MAE_LOSS</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.TemporalExtremesLoss.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x2</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#TemporalExtremesLoss.__call__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.TemporalExtremesLoss.__call__" title="Link to this definition">#</a></dt>
+<dd><p>Custom content loss that encourages temporal min/max accuracy</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x1</strong> (<em>tf.tensor</em>) – synthetic generator output
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>x2</strong> (<em>tf.tensor</em>) – high resolution data
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>tf.tensor</em> – 0D tensor with loss value</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.TemporalExtremesLoss.call">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_pred</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.TemporalExtremesLoss.call" title="Link to this definition">#</a></dt>
+<dd><p>Invokes the <cite>Loss</cite> instance.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>y_true: Ground truth values. shape = <cite>[batch_size, d0, .. dN]</cite>,</dt><dd><p>except sparse loss functions such as sparse categorical
+crossentropy where shape = <cite>[batch_size, d0, .. dN-1]</cite></p>
+</dd>
+</dl>
+<p>y_pred: The predicted values. shape = <cite>[batch_size, d0, .. dN]</cite></p>
+</dd>
+<dt>Returns:</dt><dd><p>Loss values with the shape <cite>[batch_size, d0, .. dN-1]</cite>.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.TemporalExtremesLoss.from_config">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.TemporalExtremesLoss.from_config" title="Link to this definition">#</a></dt>
+<dd><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p>
+<dl class="simple">
+<dt>Args:</dt><dd><p>config: Output of <cite>get_config()</cite>.</p>
+</dd>
+<dt>Returns:</dt><dd><p>A <cite>Loss</cite> instance.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.TemporalExtremesLoss.get_config">
+<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.TemporalExtremesLoss.get_config" title="Link to this definition">#</a></dt>
+<dd><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p>
+</dd></dl>
+
+</dd></dl>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.TemporalExtremesLoss"><code class="docutils literal notranslate"><span class="pre">TemporalExtremesLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.TemporalExtremesLoss.__call__"><code class="docutils literal notranslate"><span class="pre">TemporalExtremesLoss.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.TemporalExtremesLoss.call"><code class="docutils literal notranslate"><span class="pre">TemporalExtremesLoss.call()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.TemporalExtremesLoss.from_config"><code class="docutils literal notranslate"><span class="pre">TemporalExtremesLoss.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.TemporalExtremesLoss.get_config"><code class="docutils literal notranslate"><span class="pre">TemporalExtremesLoss.get_config()</span></code></a></li>
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+    <h1>sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss</h1>
+    <!-- Table of contents -->
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+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss"><code class="docutils literal notranslate"><span class="pre">TemporalExtremesOnlyLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.__call__"><code class="docutils literal notranslate"><span class="pre">TemporalExtremesOnlyLoss.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.call"><code class="docutils literal notranslate"><span class="pre">TemporalExtremesOnlyLoss.call()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.from_config"><code class="docutils literal notranslate"><span class="pre">TemporalExtremesOnlyLoss.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.get_config"><code class="docutils literal notranslate"><span class="pre">TemporalExtremesOnlyLoss.get_config()</span></code></a></li>
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+                  
+  <section id="sup3r-utilities-loss-metrics-temporalextremesonlyloss">
+<h1>sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss<a class="headerlink" href="#sup3r-utilities-loss-metrics-temporalextremesonlyloss" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">TemporalExtremesOnlyLoss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reduction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#TemporalExtremesOnlyLoss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Loss</span></code></p>
+<p>Loss class that encourages accuracy of the min/max values in the
+timeseries. This does not include an additional mae term</p>
+<p>Initializes <cite>Loss</cite> class.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>reduction: Type of <cite>tf.keras.losses.Reduction</cite> to apply to</dt><dd><p>loss. Default value is <cite>AUTO</cite>. <cite>AUTO</cite> indicates that the
+reduction option will be determined by the usage context. For
+almost all cases this defaults to <cite>SUM_OVER_BATCH_SIZE</cite>. When
+used under a <cite>tf.distribute.Strategy</cite>, except via
+<cite>Model.compile()</cite> and <cite>Model.fit()</cite>, using <cite>AUTO</cite> or
+<cite>SUM_OVER_BATCH_SIZE</cite> will raise an error. Please see this
+custom training [tutorial](
+<a class="reference external" href="https://www.tensorflow.org/tutorials/distribute/custom_training">https://www.tensorflow.org/tutorials/distribute/custom_training</a>)
+for more details.</p>
+</dd>
+</dl>
+<p>name: Optional name for the instance.</p>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.call" title="sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.call"><code class="xref py py-obj docutils literal notranslate"><span class="pre">call</span></code></a>(y_true, y_pred)</p></td>
+<td><p>Invokes the <cite>Loss</cite> instance.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.from_config" title="sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.from_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_config</span></code></a>(config)</p></td>
+<td><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.get_config" title="sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.get_config"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_config</span></code></a>()</p></td>
+<td><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">MAE_LOSS</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x2</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#TemporalExtremesOnlyLoss.__call__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.__call__" title="Link to this definition">#</a></dt>
+<dd><p>Custom content loss that encourages temporal min/max accuracy</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x1</strong> (<em>tf.tensor</em>) – synthetic generator output
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>x2</strong> (<em>tf.tensor</em>) – high resolution data
+(n_observations, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>tf.tensor</em> – 0D tensor with loss value</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.call">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_pred</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.call" title="Link to this definition">#</a></dt>
+<dd><p>Invokes the <cite>Loss</cite> instance.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>y_true: Ground truth values. shape = <cite>[batch_size, d0, .. dN]</cite>,</dt><dd><p>except sparse loss functions such as sparse categorical
+crossentropy where shape = <cite>[batch_size, d0, .. dN-1]</cite></p>
+</dd>
+</dl>
+<p>y_pred: The predicted values. shape = <cite>[batch_size, d0, .. dN]</cite></p>
+</dd>
+<dt>Returns:</dt><dd><p>Loss values with the shape <cite>[batch_size, d0, .. dN-1]</cite>.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.from_config">
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.from_config" title="Link to this definition">#</a></dt>
+<dd><p>Instantiates a <cite>Loss</cite> from its config (output of <cite>get_config()</cite>).</p>
+<dl class="simple">
+<dt>Args:</dt><dd><p>config: Output of <cite>get_config()</cite>.</p>
+</dd>
+<dt>Returns:</dt><dd><p>A <cite>Loss</cite> instance.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.get_config">
+<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.get_config" title="Link to this definition">#</a></dt>
+<dd><p>Returns the config dictionary for a <cite>Loss</cite> instance.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss"><code class="docutils literal notranslate"><span class="pre">TemporalExtremesOnlyLoss</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.__call__"><code class="docutils literal notranslate"><span class="pre">TemporalExtremesOnlyLoss.__call__()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.call"><code class="docutils literal notranslate"><span class="pre">TemporalExtremesOnlyLoss.call()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.from_config"><code class="docutils literal notranslate"><span class="pre">TemporalExtremesOnlyLoss.from_config()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.get_config"><code class="docutils literal notranslate"><span class="pre">TemporalExtremesOnlyLoss.get_config()</span></code></a></li>
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+    <h1>sup3r.utilities.loss_metrics.gaussian_kernel</h1>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.loss_metrics.gaussian_kernel"><code class="docutils literal notranslate"><span class="pre">gaussian_kernel()</span></code></a></li>
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+  <section id="sup3r-utilities-loss-metrics-gaussian-kernel">
+<h1>sup3r.utilities.loss_metrics.gaussian_kernel<a class="headerlink" href="#sup3r-utilities-loss-metrics-gaussian-kernel" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.utilities.loss_metrics.gaussian_kernel">
+<span class="sig-name descname"><span class="pre">gaussian_kernel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sigma</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/loss_metrics.html#gaussian_kernel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.loss_metrics.gaussian_kernel" title="Link to this definition">#</a></dt>
+<dd><p>Gaussian kernel for mmd content loss</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x1</strong> (<em>tf.tensor</em>) – synthetic generator output
+(n_obs, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>x2</strong> (<em>tf.tensor</em>) – high resolution data
+(n_obs, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>sigma</strong> (<em>float</em>) – Standard deviation for gaussian kernel</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>tf.tensor</em> – kernel output tensor</p>
+</dd>
+</dl>
+<p class="rubric">References</p>
+<p>Following MMD implementation in <a class="github reference external" href="https://github.com/lmjohns3/theanets">lmjohns3/theanets</a></p>
+</dd></dl>
+
+</section>
+
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+    <h1>sup3r.utilities.loss_metrics</h1>
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+  <section id="module-sup3r.utilities.loss_metrics">
+<span id="sup3r-utilities-loss-metrics"></span><h1>sup3r.utilities.loss_metrics<a class="headerlink" href="#module-sup3r.utilities.loss_metrics" title="Link to this heading">#</a></h1>
+<p>Content loss metrics for Sup3r</p>
+<p class="rubric">Functions</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.loss_metrics.gaussian_kernel.html#sup3r.utilities.loss_metrics.gaussian_kernel" title="sup3r.utilities.loss_metrics.gaussian_kernel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">gaussian_kernel</span></code></a>(x1, x2[, sigma])</p></td>
+<td><p>Gaussian kernel for mmd content loss</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.loss_metrics.CoarseMseLoss.html#sup3r.utilities.loss_metrics.CoarseMseLoss" title="sup3r.utilities.loss_metrics.CoarseMseLoss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CoarseMseLoss</span></code></a>([reduction, name])</p></td>
+<td><p>Loss class for coarse mse on spatial average of 5D tensor</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.utilities.loss_metrics.ExpLoss.html#sup3r.utilities.loss_metrics.ExpLoss" title="sup3r.utilities.loss_metrics.ExpLoss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ExpLoss</span></code></a>([reduction, name])</p></td>
+<td><p>Loss class for squared exponential difference</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.loss_metrics.LowResLoss.html#sup3r.utilities.loss_metrics.LowResLoss" title="sup3r.utilities.loss_metrics.LowResLoss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LowResLoss</span></code></a>([s_enhance, t_enhance, t_method, ...])</p></td>
+<td><p>Content loss that is calculated by coarsening the synthetic and true high-resolution data pairs and then performing the pointwise content loss on the low-resolution fields</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.utilities.loss_metrics.MaterialDerivativeLoss.html#sup3r.utilities.loss_metrics.MaterialDerivativeLoss" title="sup3r.utilities.loss_metrics.MaterialDerivativeLoss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MaterialDerivativeLoss</span></code></a>([reduction, name])</p></td>
+<td><p>Loss class for the material derivative.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.loss_metrics.MmdLoss.html#sup3r.utilities.loss_metrics.MmdLoss" title="sup3r.utilities.loss_metrics.MmdLoss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MmdLoss</span></code></a>([reduction, name])</p></td>
+<td><p>Loss class for max mean discrepancy loss</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.utilities.loss_metrics.MmdMseLoss.html#sup3r.utilities.loss_metrics.MmdMseLoss" title="sup3r.utilities.loss_metrics.MmdMseLoss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MmdMseLoss</span></code></a>([reduction, name])</p></td>
+<td><p>Loss class for MMD + MSE</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.loss_metrics.MseExpLoss.html#sup3r.utilities.loss_metrics.MseExpLoss" title="sup3r.utilities.loss_metrics.MseExpLoss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MseExpLoss</span></code></a>([reduction, name])</p></td>
+<td><p>Loss class for mse + squared exponential difference</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.utilities.loss_metrics.SpatialExtremesLoss.html#sup3r.utilities.loss_metrics.SpatialExtremesLoss" title="sup3r.utilities.loss_metrics.SpatialExtremesLoss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SpatialExtremesLoss</span></code></a>([weight])</p></td>
+<td><p>Loss class that encourages accuracy of the min/max values in the spatial domain</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.html#sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss" title="sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SpatialExtremesOnlyLoss</span></code></a>([reduction, name])</p></td>
+<td><p>Loss class that encourages accuracy of the min/max values in the spatial domain.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.html#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss" title="sup3r.utilities.loss_metrics.SpatialFftOnlyLoss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SpatialFftOnlyLoss</span></code></a>([reduction, name])</p></td>
+<td><p>Loss class that encourages accuracy of the spatial frequency spectrum</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.html#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss" title="sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SpatiotemporalExtremesLoss</span></code></a>([spatial_weight, ...])</p></td>
+<td><p>Loss class that encourages accuracy of the min/max values across both space and time</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.html#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss" title="sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SpatiotemporalFftOnlyLoss</span></code></a>([reduction, name])</p></td>
+<td><p>Loss class that encourages accuracy of the spatiotemporal frequency spectrum</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.loss_metrics.StExtremesFftLoss.html#sup3r.utilities.loss_metrics.StExtremesFftLoss" title="sup3r.utilities.loss_metrics.StExtremesFftLoss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">StExtremesFftLoss</span></code></a>([spatial_weight, ...])</p></td>
+<td><p>Loss class that encourages accuracy of the min/max values across both space and time as well as frequency domain accuracy.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.utilities.loss_metrics.TemporalExtremesLoss.html#sup3r.utilities.loss_metrics.TemporalExtremesLoss" title="sup3r.utilities.loss_metrics.TemporalExtremesLoss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TemporalExtremesLoss</span></code></a>([weight])</p></td>
+<td><p>Loss class that encourages accuracy of the min/max values in the timeseries</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.html#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss" title="sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TemporalExtremesOnlyLoss</span></code></a>([reduction, name])</p></td>
+<td><p>Loss class that encourages accuracy of the min/max values in the timeseries.</p></td>
+</tr>
+</tbody>
+</table>
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+    <h1>sup3r.utilities.pytest.helpers.BatchHandlerTesterCC</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
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+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.SAMPLER"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.SAMPLER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.TRAIN_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.TRAIN_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.VAL_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.VAL_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.check_features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.container_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.data"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_container_index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_queue"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_random_container"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.hr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.init_samplers"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.init_samplers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.log_queue_info"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.lr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.post_init_log"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.post_proc"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.preflight"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.queue_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.queue_thread"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.running"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.sample_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.start"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.stop"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.transform"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.wrap"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.wrap()</span></code></a></li>
+</ul>
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+</ul>
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+        </div>
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+                  
+  <section id="sup3r-utilities-pytest-helpers-batchhandlertestercc">
+<h1>sup3r.utilities.pytest.helpers.BatchHandlerTesterCC<a class="headerlink" href="#sup3r-utilities-pytest-helpers-batchhandlertestercc" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">BatchHandlerTesterCC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_containers</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_containers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_batches</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">means</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stds</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">queue_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'lazy'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/pytest/helpers.html#BatchHandlerTesterCC"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></p>
+<p>Batch handler with sampler with running index record.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>train_containers</strong> (<em>List[Container]</em>) – List of objects with a <cite>.data</cite> attribute, which will be used
+to initialize Sampler objects and then used to initialize a
+batch queue of training data. The data can be a Sup3rX or
+Sup3rDataset object.</p></li>
+<li><p><strong>val_containers</strong> (<em>List[Container]</em>) – List of objects with a <cite>.data</cite> attribute, which will be used
+to initialize Sampler objects and then used to initialize a
+batch queue of validation data. The data can be a Sup3rX or a
+Sup3rDataset object.</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of observations / samples in a batch</p></li>
+<li><p><strong>n_batches</strong> (<em>int</em>) – Number of batches in an epoch, this sets the iteration limit for
+this object.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes is to be enhanced.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Integer factor by which the temporal axes is to be enhanced.</p></li>
+<li><p><strong>means</strong> (<em>str | dict | None</em>) – Usually a file path for loading / saving results, or None for
+just calculating stats and not saving. Can also be a dict.</p></li>
+<li><p><strong>stds</strong> (<em>str | dict | None</em>) – Usually a file path for loading / saving results, or None for
+just calculating stats and not saving. Can also be a dict.</p></li>
+<li><p><strong>queue_cap</strong> (<em>int</em>) – Maximum number of batches the batch queue can store.</p></li>
+<li><p><strong>transform_kwargs</strong> (<em>Union[Dict, None]</em>) – Dictionary of kwargs to be passed to <cite>self.transform</cite>. This method
+performs smoothing / coarsening.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Loading mode. Default is ‘lazy’, which only loads data into memory
+as batches are queued. ‘eager’ will load all data into memory right
+away.</p></li>
+<li><p><strong>feature_sets</strong> (<em>Optional[dict]</em>) – Optional dictionary describing how the full set of features is
+split between <code class="docutils literal notranslate"><span class="pre">lr_only_features</span></code> and <code class="docutils literal notranslate"><span class="pre">hr_exo_features</span></code>.</p>
+<dl class="simple">
+<dt>lr_only_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should only be
+included in the low-res training set and not the high-res
+observations.</p>
+</dd>
+<dt>hr_exo_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should be included
+in the high-resolution observation but not expected to be
+output from the generative model. An example is high-res
+topography that is to be injected mid-network.</p>
+</dd>
+</dl>
+</li>
+<li><p><strong>kwargs</strong> (<em>dict</em>) – Additional keyword arguments for BatchQueue and / or Samplers.
+This can vary depending on the type of BatchQueue / Sampler
+given to the Factory. For example, to build a
+<code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandlerDC</span></code>
+object (data-centric batch handler) we use a queue and sampler
+which takes spatial and temporal weight / bin arguments used to
+determine how to weigh spatiotemporal regions when sampling.
+Using
+<code class="xref py py-class docutils literal notranslate"><span class="pre">ConditionalBatchQueue</span></code>
+will result in arguments for computing moments from batches and
+how to pad batch data to enable these calculations.</p></li>
+<li><p><strong>sample_shape</strong> (<em>tuple</em>) – Size of arrays to sample from the high-res data. The sample shape
+for the low-res sampler will be determined from the enhancement
+factors.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.check_enhancement_factors" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.check_enhancement_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_enhancement_factors</span></code></a>()</p></td>
+<td><p>Make sure each DualSampler has the same enhancment factors and they match those provided to the BatchQueue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.check_features" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.check_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_features</span></code></a>()</p></td>
+<td><p>Make sure all samplers have the same sets of features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.check_shared_attr" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.enqueue_batch" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.enqueue_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batch</span></code></a>()</p></td>
+<td><p>Build batch and send to queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.enqueue_batches" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.enqueue_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batches</span></code></a>()</p></td>
+<td><p>Callback function for queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_batch" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_batch</span></code></a>()</p></td>
+<td><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through <code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_container_index" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_container_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_container_index</span></code></a>()</p></td>
+<td><p>Get random container index based on weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_queue" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_queue</span></code></a>()</p></td>
+<td><p>Return FIFO queue for storing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_random_container" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_random_container"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_random_container</span></code></a>()</p></td>
+<td><p>Get random container based on container weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.init_samplers" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.init_samplers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_samplers</span></code></a>(train_containers, ...)</p></td>
+<td><p>Initialize samplers from given data containers.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.log_queue_info" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.log_queue_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_queue_info</span></code></a>()</p></td>
+<td><p>Log info about queue size.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.post_init_log" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.post_proc" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.post_proc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_proc</span></code></a>(samples)</p></td>
+<td><p>Performs some post proc on dequeued samples before sending out for training.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.preflight" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run checks before kicking off the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.sample_batch" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.sample_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_batch</span></code></a>()</p></td>
+<td><p>Get random sampler from collection and return a batch of samples from that sampler.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.start" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start</span></code></a>()</p></td>
+<td><p>Start the val data batch queue in addition to the train batch queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.stop" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop</span></code></a>()</p></td>
+<td><p>Stop the val data batch queue in addition to the train batch queue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.transform" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(samples[, smoothing, smoothing_ignore])</p></td>
+<td><p>Perform smoothing if requested.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.wrap" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.container_weights" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.data" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.features" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.hr_shape" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Shape of high resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.lr_shape" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Shape of low resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.queue_shape" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.queue_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_shape</span></code></a></p></td>
+<td><p>Shape of objects stored in the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.queue_thread" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.queue_thread"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_thread</span></code></a></p></td>
+<td><p>Get new queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.running" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.running"><code class="xref py py-obj docutils literal notranslate"><span class="pre">running</span></code></a></p></td>
+<td><p>Boolean to check whether to keep enqueueing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.shape" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.SAMPLER">
+<span class="sig-name descname"><span class="pre">SAMPLER</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.SAMPLER" title="Link to this definition">#</a></dt>
+<dd><p>alias of <code class="xref py py-class docutils literal notranslate"><span class="pre">SamplerTester</span></code></p>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of Batch(low_res, high_res)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.TRAIN_QUEUE">
+<span class="sig-name descname"><span class="pre">TRAIN_QUEUE</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.TRAIN_QUEUE" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualBatchQueue</span></code></a></p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.VAL_QUEUE">
+<span class="sig-name descname"><span class="pre">VAL_QUEUE</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.VAL_QUEUE" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue" title="sup3r.preprocessing.batch_queues.dual.DualBatchQueue"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualBatchQueue</span></code></a></p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.check_enhancement_factors">
+<span class="sig-name descname"><span class="pre">check_enhancement_factors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.check_enhancement_factors" title="Link to this definition">#</a></dt>
+<dd><p>Make sure each DualSampler has the same enhancment factors and they
+match those provided to the BatchQueue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.check_features">
+<span class="sig-name descname"><span class="pre">check_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.check_features" title="Link to this definition">#</a></dt>
+<dd><p>Make sure all samplers have the same sets of features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.wrap" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.enqueue_batch">
+<span class="sig-name descname"><span class="pre">enqueue_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.enqueue_batch" title="Link to this definition">#</a></dt>
+<dd><p>Build batch and send to queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.enqueue_batches">
+<span class="sig-name descname"><span class="pre">enqueue_batches</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.enqueue_batches" title="Link to this definition">#</a></dt>
+<dd><p>Callback function for queue thread. While training, the queue is
+checked for empty spots and filled. In the training thread, batches are
+removed from the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_batch">
+<span class="sig-name descname"><span class="pre">get_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through
+<code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_container_index">
+<span class="sig-name descname"><span class="pre">get_container_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_container_index" title="Link to this definition">#</a></dt>
+<dd><p>Get random container index based on weights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_queue">
+<span class="sig-name descname"><span class="pre">get_queue</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_queue" title="Link to this definition">#</a></dt>
+<dd><p>Return FIFO queue for storing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_random_container">
+<span class="sig-name descname"><span class="pre">get_random_container</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_random_container" title="Link to this definition">#</a></dt>
+<dd><p>Get random container based on container weights</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of high resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.init_samplers">
+<span class="sig-name descname"><span class="pre">init_samplers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_containers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_containers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampler_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.init_samplers" title="Link to this definition">#</a></dt>
+<dd><p>Initialize samplers from given data containers.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.log_queue_info">
+<span class="sig-name descname"><span class="pre">log_queue_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.log_queue_info" title="Link to this definition">#</a></dt>
+<dd><p>Log info about queue size.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of low resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.post_proc">
+<span class="sig-name descname"><span class="pre">post_proc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.post_proc" title="Link to this definition">#</a></dt>
+<dd><p>Performs some post proc on dequeued samples before sending out for
+training. Post processing can include coarsening on high-res data (if
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code> consists of <code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects and not
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> objects), smoothing, etc</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>Batch</strong> (<em>namedtuple</em>) – namedtuple with <cite>low_res</cite> and <cite>high_res</cite> attributes</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run checks before kicking off the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.queue_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_shape</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.queue_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of objects stored in the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.queue_thread">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_thread</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.queue_thread" title="Link to this definition">#</a></dt>
+<dd><p>Get new queue thread.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.running">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">running</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.running" title="Link to this definition">#</a></dt>
+<dd><p>Boolean to check whether to keep enqueueing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.sample_batch">
+<span class="sig-name descname"><span class="pre">sample_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.sample_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get random sampler from collection and return a batch of samples
+from that sampler.</p>
+<p class="rubric">Notes</p>
+<p>These samples are wrapped in an <code class="docutils literal notranslate"><span class="pre">np.asarray</span></code> call, so they have been
+loaded into memory.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.start">
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.start" title="Link to this definition">#</a></dt>
+<dd><p>Start the val data batch queue in addition to the train batch
+queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.stop">
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.stop" title="Link to this definition">#</a></dt>
+<dd><p>Stop the val data batch queue in addition to the train batch
+queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.transform">
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_ignore</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.transform" title="Link to this definition">#</a></dt>
+<dd><p>Perform smoothing if requested.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>This does not include temporal or spatial coarsening like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">SingleBatchQueue</span></code></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
+                  
+<div class="prev-next-area">
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.SAMPLER"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.SAMPLER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.TRAIN_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.TRAIN_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.VAL_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.VAL_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.check_features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.container_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.data"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_container_index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_queue"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_random_container"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.hr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.init_samplers"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.init_samplers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.log_queue_info"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.lr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.post_init_log"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.post_proc"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.preflight"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.queue_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.queue_thread"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.running"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.sample_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.start"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.stop"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.transform"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.wrap"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterCC.wrap()</span></code></a></li>
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+    <h1>sup3r.utilities.pytest.helpers.BatchHandlerTesterDC</h1>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.SAMPLER"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.SAMPLER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.sample_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.update_record"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.update_record()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.TRAIN_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.TRAIN_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.VAL_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.VAL_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.check_features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.container_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.data"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_container_index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_queue"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_random_container"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.hr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.init_samplers"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.init_samplers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.log_queue_info"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.lr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.post_init_log"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.post_proc"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.preflight"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.queue_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.queue_thread"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.running"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.spatial_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.spatial_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.start"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.stop"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.temporal_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.temporal_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.transform"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.update_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.update_weights()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.wrap"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-utilities-pytest-helpers-batchhandlertesterdc">
+<h1>sup3r.utilities.pytest.helpers.BatchHandlerTesterDC<a class="headerlink" href="#sup3r-utilities-pytest-helpers-batchhandlertesterdc" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">BatchHandlerTesterDC</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_containers</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_containers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_batches</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">means</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stds</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">queue_cap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'lazy'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spatial_weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_weights</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_space_bins</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_time_bins</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/pytest/helpers.html#BatchHandlerTesterDC"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC" title="sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandlerDC</span></code></a></p>
+<p>Data-centric batch handler with record for testing</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>train_containers</strong> (<em>List[Container]</em>) – List of objects with a <cite>.data</cite> attribute, which will be used
+to initialize Sampler objects and then used to initialize a
+batch queue of training data. The data can be a Sup3rX or
+Sup3rDataset object.</p></li>
+<li><p><strong>val_containers</strong> (<em>List[Container]</em>) – List of objects with a <cite>.data</cite> attribute, which will be used
+to initialize Sampler objects and then used to initialize a
+batch queue of validation data. The data can be a Sup3rX or a
+Sup3rDataset object.</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of observations / samples in a batch</p></li>
+<li><p><strong>n_batches</strong> (<em>int</em>) – Number of batches in an epoch, this sets the iteration limit for
+this object.</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – Integer factor by which the spatial axes is to be enhanced.</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – Integer factor by which the temporal axes is to be enhanced.</p></li>
+<li><p><strong>means</strong> (<em>str | dict | None</em>) – Usually a file path for loading / saving results, or None for
+just calculating stats and not saving. Can also be a dict.</p></li>
+<li><p><strong>stds</strong> (<em>str | dict | None</em>) – Usually a file path for loading / saving results, or None for
+just calculating stats and not saving. Can also be a dict.</p></li>
+<li><p><strong>queue_cap</strong> (<em>int</em>) – Maximum number of batches the batch queue can store.</p></li>
+<li><p><strong>transform_kwargs</strong> (<em>Union[Dict, None]</em>) – Dictionary of kwargs to be passed to <cite>self.transform</cite>. This method
+performs smoothing / coarsening.</p></li>
+<li><p><strong>mode</strong> (<em>str</em>) – Loading mode. Default is ‘lazy’, which only loads data into memory
+as batches are queued. ‘eager’ will load all data into memory right
+away.</p></li>
+<li><p><strong>feature_sets</strong> (<em>Optional[dict]</em>) – Optional dictionary describing how the full set of features is
+split between <cite>lr_only_features</cite> and <cite>hr_exo_features</cite>. See
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code></p></li>
+<li><p><strong>sample_shape</strong> (<em>tuple</em>) – Size of arrays to sample from the contained data.</p></li>
+<li><p><strong>spatial_weights</strong> (<em>Union[np.ndarray, da.core.Array] | List | None</em>) – Set of weights used to initialize the spatial sampling. e.g. If we
+want to start off sampling across 2 spatial bins evenly this should
+be [0.5, 0.5]. During training these weights will be updated based
+only performance across the bins associated with these weights.</p></li>
+<li><p><strong>temporal_weights</strong> (<em>Union[np.ndarray, da.core.Array] | List | None</em>) – Set of weights used to initialize the temporal sampling. e.g. If we
+want to start off sampling only the first season of the year this
+should be [1, 0, 0, 0]. During training these weights will be
+updated based only performance across the bins associated with
+these weights.</p></li>
+<li><p><strong>n_space_bins</strong> (<em>int</em>) – Number of spatial bins to use for weighted sampling. e.g. if this
+is 4 the spatial domain will be divided into 4 equal regions and
+losses will be calculated across these regions during traning in
+order to adaptively sample from lower performing regions.</p></li>
+<li><p><strong>n_time_bins</strong> (<em>int</em>) – Number of time bins to use for weighted sampling. e.g. if this
+is 4 the temporal domain will be divided into 4 equal periods and
+losses will be calculated across these periods during traning in
+order to adaptively sample from lower performing time periods.</p></li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.check_enhancement_factors" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.check_enhancement_factors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_enhancement_factors</span></code></a>()</p></td>
+<td><p>Make sure the enhancement factors evenly divide the sample_shape.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.check_features" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.check_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_features</span></code></a>()</p></td>
+<td><p>Make sure all samplers have the same sets of features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.check_shared_attr" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.check_shared_attr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">check_shared_attr</span></code></a>(attr)</p></td>
+<td><p>Check if all containers have the same value for <cite>attr</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.enqueue_batch" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.enqueue_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batch</span></code></a>()</p></td>
+<td><p>Build batch and send to queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.enqueue_batches" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.enqueue_batches"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enqueue_batches</span></code></a>()</p></td>
+<td><p>Callback function for queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_batch" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_batch</span></code></a>()</p></td>
+<td><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through <code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_container_index" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_container_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_container_index</span></code></a>()</p></td>
+<td><p>Get random container index based on weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_queue" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_queue"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_queue</span></code></a>()</p></td>
+<td><p>Return FIFO queue for storing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_random_container" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_random_container"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_random_container</span></code></a>()</p></td>
+<td><p>Get random container based on container weights</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.init_samplers" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.init_samplers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">init_samplers</span></code></a>(train_containers, ...)</p></td>
+<td><p>Initialize samplers from given data containers.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.log_queue_info" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.log_queue_info"><code class="xref py py-obj docutils literal notranslate"><span class="pre">log_queue_info</span></code></a>()</p></td>
+<td><p>Log info about queue size.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.post_init_log" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.post_proc" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.post_proc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_proc</span></code></a>(samples)</p></td>
+<td><p>Performs some post proc on dequeued samples before sending out for training.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.preflight" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Run checks before kicking off the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.sample_batch" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.sample_batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_batch</span></code></a>()</p></td>
+<td><p>Override get_samples to track sample indices.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.start" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start</span></code></a>()</p></td>
+<td><p>Start the val data batch queue in addition to the train batch queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.stop" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop</span></code></a>()</p></td>
+<td><p>Stop the val data batch queue in addition to the train batch queue.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.transform" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">transform</span></code></a>(samples[, smoothing, ...])</p></td>
+<td><p>Coarsen high res data to get corresponding low res batch.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.update_record" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.update_record"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_record</span></code></a>()</p></td>
+<td><p>Reset records for a new epoch.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.update_weights" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.update_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">update_weights</span></code></a>(spatial_weights, temporal_weights)</p></td>
+<td><p>Set weights used to sample spatial and temporal bins.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.wrap" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.container_weights" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.container_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">container_weights</span></code></a></p></td>
+<td><p>Get weights used to sample from different containers based on relative sizes</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.data" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.features" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">features</span></code></a></p></td>
+<td><p>Get all features contained in data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.hr_shape" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.hr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_shape</span></code></a></p></td>
+<td><p>Shape of high resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.lr_shape" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.lr_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_shape</span></code></a></p></td>
+<td><p>Shape of low resolution sample in a low-res / high-res pair.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.queue_shape" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.queue_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_shape</span></code></a></p></td>
+<td><p>Shape of objects stored in the queue.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.queue_thread" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.queue_thread"><code class="xref py py-obj docutils literal notranslate"><span class="pre">queue_thread</span></code></a></p></td>
+<td><p>Get new queue thread.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.running" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.running"><code class="xref py py-obj docutils literal notranslate"><span class="pre">running</span></code></a></p></td>
+<td><p>Boolean to check whether to keep enqueueing batches.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.shape" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.spatial_weights" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.spatial_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">spatial_weights</span></code></a></p></td>
+<td><p>Get weights used to sample spatial bins.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.temporal_weights" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.temporal_weights"><code class="xref py py-obj docutils literal notranslate"><span class="pre">temporal_weights</span></code></a></p></td>
+<td><p>Get weights used to sample temporal bins.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.SAMPLER">
+<span class="sig-name descname"><span class="pre">SAMPLER</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.SAMPLER" title="Link to this definition">#</a></dt>
+<dd><p>alias of <code class="xref py py-class docutils literal notranslate"><span class="pre">SamplerTester</span></code></p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.sample_batch">
+<span class="sig-name descname"><span class="pre">sample_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/pytest/helpers.html#BatchHandlerTesterDC.sample_batch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.sample_batch" title="Link to this definition">#</a></dt>
+<dd><p>Override get_samples to track sample indices.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.update_record">
+<span class="sig-name descname"><span class="pre">update_record</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/pytest/helpers.html#BatchHandlerTesterDC.update_record"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.update_record" title="Link to this definition">#</a></dt>
+<dd><p>Reset records for a new epoch.</p>
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low_res</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_res</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">tuple</span></code></a></p>
+<p>Create new instance of Batch(low_res, high_res)</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.__add__">
+<span class="sig-name descname"><span class="pre">__add__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.__add__" title="Link to this definition">#</a></dt>
+<dd><p>Return self+value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.__mul__">
+<span class="sig-name descname"><span class="pre">__mul__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.__mul__" title="Link to this definition">#</a></dt>
+<dd><p>Return self*value.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.count">
+<span class="sig-name descname"><span class="pre">count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.count" title="Link to this definition">#</a></dt>
+<dd><p>Return number of occurrences of value.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.high_res">
+<span class="sig-name descname"><span class="pre">high_res</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.high_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 1</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.index">
+<span class="sig-name descname"><span class="pre">index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">9223372036854775807</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.index" title="Link to this definition">#</a></dt>
+<dd><p>Return first index of value.</p>
+<p>Raises ValueError if the value is not present.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.low_res">
+<span class="sig-name descname"><span class="pre">low_res</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.low_res" title="Link to this definition">#</a></dt>
+<dd><p>Alias for field number 0</p>
+</dd></dl>
+
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.TRAIN_QUEUE">
+<span class="sig-name descname"><span class="pre">TRAIN_QUEUE</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.TRAIN_QUEUE" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC" title="sup3r.preprocessing.batch_queues.dc.BatchQueueDC"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchQueueDC</span></code></a></p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.VAL_QUEUE">
+<span class="sig-name descname"><span class="pre">VAL_QUEUE</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.VAL_QUEUE" title="Link to this definition">#</a></dt>
+<dd><p>alias of <a class="reference internal" href="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC" title="sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC"><code class="xref py py-class docutils literal notranslate"><span class="pre">ValBatchQueueDC</span></code></a></p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.check_enhancement_factors">
+<span class="sig-name descname"><span class="pre">check_enhancement_factors</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.check_enhancement_factors" title="Link to this definition">#</a></dt>
+<dd><p>Make sure the enhancement factors evenly divide the sample_shape.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.check_features">
+<span class="sig-name descname"><span class="pre">check_features</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.check_features" title="Link to this definition">#</a></dt>
+<dd><p>Make sure all samplers have the same sets of features.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.check_shared_attr">
+<span class="sig-name descname"><span class="pre">check_shared_attr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">attr</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.check_shared_attr" title="Link to this definition">#</a></dt>
+<dd><p>Check if all containers have the same value for <cite>attr</cite>. If they do
+the collection effectively inherits those attributes.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.container_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">container_weights</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.container_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample from different containers based on
+relative sizes</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.wrap" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.enqueue_batch">
+<span class="sig-name descname"><span class="pre">enqueue_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.enqueue_batch" title="Link to this definition">#</a></dt>
+<dd><p>Build batch and send to queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.enqueue_batches">
+<span class="sig-name descname"><span class="pre">enqueue_batches</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.enqueue_batches" title="Link to this definition">#</a></dt>
+<dd><p>Callback function for queue thread. While training, the queue is
+checked for empty spots and filled. In the training thread, batches are
+removed from the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">features</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.features" title="Link to this definition">#</a></dt>
+<dd><p>Get all features contained in data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_batch">
+<span class="sig-name descname"><span class="pre">get_batch</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_batch" title="Link to this definition">#</a></dt>
+<dd><p>Get batch from queue or directly from a <code class="docutils literal notranslate"><span class="pre">Sampler</span></code> through
+<code class="docutils literal notranslate"><span class="pre">sample_batch</span></code>.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_container_index">
+<span class="sig-name descname"><span class="pre">get_container_index</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_container_index" title="Link to this definition">#</a></dt>
+<dd><p>Get random container index based on weights</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_queue">
+<span class="sig-name descname"><span class="pre">get_queue</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_queue" title="Link to this definition">#</a></dt>
+<dd><p>Return FIFO queue for storing batches.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_random_container">
+<span class="sig-name descname"><span class="pre">get_random_container</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_random_container" title="Link to this definition">#</a></dt>
+<dd><p>Get random container based on container weights</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.hr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_shape</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.hr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of high resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.init_samplers">
+<span class="sig-name descname"><span class="pre">init_samplers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_containers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_containers</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampler_kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.init_samplers" title="Link to this definition">#</a></dt>
+<dd><p>Initialize samplers from given data containers.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.log_queue_info">
+<span class="sig-name descname"><span class="pre">log_queue_info</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.log_queue_info" title="Link to this definition">#</a></dt>
+<dd><p>Log info about queue size.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.lr_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_shape</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.lr_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of low resolution sample in a low-res / high-res pair.  (e.g.
+(spatial_1, spatial_2, temporal, features))</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.post_proc">
+<span class="sig-name descname"><span class="pre">post_proc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch" title="sup3r.preprocessing.batch_queues.abstract.Batch"><span class="pre">Batch</span></a></span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.post_proc" title="Link to this definition">#</a></dt>
+<dd><p>Performs some post proc on dequeued samples before sending out for
+training. Post processing can include coarsening on high-res data (if
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code> consists of <code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code> objects and not
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> objects), smoothing, etc</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>Batch</strong> (<em>namedtuple</em>) – namedtuple with <cite>low_res</cite> and <cite>high_res</cite> attributes</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Run checks before kicking off the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.queue_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_shape</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.queue_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of objects stored in the queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.queue_thread">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">queue_thread</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.queue_thread" title="Link to this definition">#</a></dt>
+<dd><p>Get new queue thread.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.running">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">running</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.running" title="Link to this definition">#</a></dt>
+<dd><p>Boolean to check whether to keep enqueueing batches.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.spatial_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">spatial_weights</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.spatial_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample spatial bins.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.start">
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.start" title="Link to this definition">#</a></dt>
+<dd><p>Start the val data batch queue in addition to the train batch
+queue.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.stop">
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.stop" title="Link to this definition">#</a></dt>
+<dd><p>Stop the val data batch queue in addition to the train batch
+queue.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.temporal_weights">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">temporal_weights</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.temporal_weights" title="Link to this definition">#</a></dt>
+<dd><p>Get weights used to sample temporal bins.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.transform">
+<span class="sig-name descname"><span class="pre">transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">samples</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_ignore</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_coarsening_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'subsample'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.transform" title="Link to this definition">#</a></dt>
+<dd><p>Coarsen high res data to get corresponding low res batch.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>samples</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – High resolution batch of samples.
+4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>smoothing</strong> (<em>float | None</em>) – Standard deviation to use for gaussian filtering of the coarse
+data. This can be tuned by matching the kinetic energy of a low
+resolution simulation with the kinetic energy of a coarsened and
+smoothed high resolution simulation. If None no smoothing is
+performed.</p></li>
+<li><p><strong>smoothing_ignore</strong> (<em>list | None</em>) – List of features to ignore for the smoothing filter. None will
+smooth all features if smoothing kwarg is not None</p></li>
+<li><p><strong>temporal_coarsening_method</strong> (<em>str</em>) – Method to use for temporal coarsening. Can be subsample, average,
+min, max, or total</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>low_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>high_res</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 4D | 5D array
+(batch_size, spatial_1, spatial_2, features)
+(batch_size, spatial_1, spatial_2, temporal, features)</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.update_weights">
+<span class="sig-name descname"><span class="pre">update_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spatial_weights</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">temporal_weights</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.update_weights" title="Link to this definition">#</a></dt>
+<dd><p>Set weights used to sample spatial and temporal bins. This is called
+by <code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rGanDC</span></code> after an epoch to update weights based on model
+performance across validation samples.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
+                  
+<div class="prev-next-area">
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+        <p class="prev-next-subtitle">previous</p>
+        <p class="prev-next-title">sup3r.utilities.pytest.helpers.BatchHandlerTesterCC</p>
+      </div>
+    </a>
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+  <div class="sidebar-secondary-item">
+  <div class="page-toc tocsection onthispage">
+    <i class="fa-solid fa-list"></i> Contents
+  </div>
+  <nav class="bd-toc-nav page-toc">
+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.SAMPLER"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.SAMPLER</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.sample_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.sample_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.update_record"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.update_record()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.Batch</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.__add__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.Batch.__add__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.__mul__"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.Batch.__mul__()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.count"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.Batch.count()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.high_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.Batch.high_res</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.Batch.index()</span></code></a></li>
+<li class="toc-h4 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.low_res"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.Batch.low_res</span></code></a></li>
+</ul>
+</li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.TRAIN_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.TRAIN_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.VAL_QUEUE"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.VAL_QUEUE</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.check_enhancement_factors"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.check_enhancement_factors()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.check_features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.check_features()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.check_shared_attr"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.check_shared_attr()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.container_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.container_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.data"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.enqueue_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.enqueue_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.enqueue_batches"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.enqueue_batches()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.features"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_batch"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.get_batch()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_container_index"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.get_container_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_queue"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.get_queue()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_random_container"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.get_random_container()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.hr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.hr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.init_samplers"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.init_samplers()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.log_queue_info"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.log_queue_info()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.lr_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.lr_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.post_init_log"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.post_proc"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.post_proc()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.preflight"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.queue_shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.queue_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.queue_thread"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.queue_thread</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.running"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.running</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.shape"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.spatial_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.spatial_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.start"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.stop"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.temporal_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.temporal_weights</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.transform"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.transform()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.update_weights"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.update_weights()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.wrap"><code class="docutils literal notranslate"><span class="pre">BatchHandlerTesterDC.wrap()</span></code></a></li>
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+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.BatchHandlerTesterFactory">
+<span class="sig-name descname"><span class="pre">BatchHandlerTesterFactory</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">BatchHandlerClass</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">SamplerClass</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/pytest/helpers.html#BatchHandlerTesterFactory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.pytest.helpers.BatchHandlerTesterFactory" title="Link to this definition">#</a></dt>
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diff --git a/_autosummary/sup3r.utilities.pytest.helpers.DualSamplerTesterCC.html b/_autosummary/sup3r.utilities.pytest.helpers.DualSamplerTesterCC.html
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+    <h1>sup3r.utilities.pytest.helpers.DummyData</h1>
+    <!-- Table of contents -->
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummyData"><code class="docutils literal notranslate"><span class="pre">DummyData</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummyData.data"><code class="docutils literal notranslate"><span class="pre">DummyData.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummyData.post_init_log"><code class="docutils literal notranslate"><span class="pre">DummyData.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummyData.shape"><code class="docutils literal notranslate"><span class="pre">DummyData.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummyData.wrap"><code class="docutils literal notranslate"><span class="pre">DummyData.wrap()</span></code></a></li>
+</ul>
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+
+              
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+  <section id="sup3r-utilities-pytest-helpers-dummydata">
+<h1>sup3r.utilities.pytest.helpers.DummyData<a class="headerlink" href="#sup3r-utilities-pytest-helpers-dummydata" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.DummyData">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">DummyData</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/pytest/helpers.html#DummyData"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.pytest.helpers.DummyData" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a></p>
+<p>Dummy container with random data.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>data</strong> (<em>Union[Sup3rX, Sup3rDataset, Tuple[Sup3rX, …],</em>) –         Tuple[Sup3rDataset, …]
+Can be an <code class="docutils literal notranslate"><span class="pre">xr.Dataset</span></code>, a <a class="reference internal" href="sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX" title="sup3r.preprocessing.accessor.Sup3rX"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rX</span></code></a> object, a
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, or a tuple of such objects.</p>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p><code class="docutils literal notranslate"><span class="pre">.data</span></code> will return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of
+such. This is a tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple
+or 1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is
+a 2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</div>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.DummyData.post_init_log" title="sup3r.utilities.pytest.helpers.DummyData.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.DummyData.wrap" title="sup3r.utilities.pytest.helpers.DummyData.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.DummyData.data" title="sup3r.utilities.pytest.helpers.DummyData.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.DummyData.shape" title="sup3r.utilities.pytest.helpers.DummyData.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.DummyData.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.DummyData.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.DummyData.wrap" title="sup3r.utilities.pytest.helpers.DummyData.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.DummyData.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.DummyData.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.DummyData.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.DummyData.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.DummyData.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.DummyData.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummyData"><code class="docutils literal notranslate"><span class="pre">DummyData</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummyData.data"><code class="docutils literal notranslate"><span class="pre">DummyData.data</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummyData.shape"><code class="docutils literal notranslate"><span class="pre">DummyData.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummyData.wrap"><code class="docutils literal notranslate"><span class="pre">DummyData.wrap()</span></code></a></li>
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+    <h1>sup3r.utilities.pytest.helpers.DummySampler</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler"><code class="docutils literal notranslate"><span class="pre">DummySampler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.data"><code class="docutils literal notranslate"><span class="pre">DummySampler.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.get_sample_index"><code class="docutils literal notranslate"><span class="pre">DummySampler.get_sample_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">DummySampler.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.hr_features"><code class="docutils literal notranslate"><span class="pre">DummySampler.hr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.hr_features_ind"><code class="docutils literal notranslate"><span class="pre">DummySampler.hr_features_ind</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.hr_out_features"><code class="docutils literal notranslate"><span class="pre">DummySampler.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.hr_sample_shape"><code class="docutils literal notranslate"><span class="pre">DummySampler.hr_sample_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.lr_only_features"><code class="docutils literal notranslate"><span class="pre">DummySampler.lr_only_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.post_init_log"><code class="docutils literal notranslate"><span class="pre">DummySampler.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.preflight"><code class="docutils literal notranslate"><span class="pre">DummySampler.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.sample_shape"><code class="docutils literal notranslate"><span class="pre">DummySampler.sample_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.shape"><code class="docutils literal notranslate"><span class="pre">DummySampler.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.wrap"><code class="docutils literal notranslate"><span class="pre">DummySampler.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-utilities-pytest-helpers-dummysampler">
+<h1>sup3r.utilities.pytest.helpers.DummySampler<a class="headerlink" href="#sup3r-utilities-pytest-helpers-dummysampler" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.DummySampler">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">DummySampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sample_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_sets</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/pytest/helpers.html#DummySampler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.pytest.helpers.DummySampler" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler" title="sup3r.preprocessing.samplers.base.Sampler"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code></a></p>
+<p>Dummy container with random data.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>data</strong> (<em>Union[Sup3rX, Sup3rDataset],</em>) – Object with data that will be sampled from. Usually the <code class="docutils literal notranslate"><span class="pre">.data</span></code>
+attribute of various <a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a>
+objects.  i.e. <a class="reference internal" href="sup3r.preprocessing.loaders.Loader.html#sup3r.preprocessing.loaders.Loader" title="sup3r.preprocessing.loaders.Loader"><code class="xref py py-class docutils literal notranslate"><span class="pre">Loader</span></code></a>,
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code>,
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Deriver</span></code>, as long as the
+spatial dimensions are not flattened.</p></li>
+<li><p><strong>sample_shape</strong> (<em>tuple</em>) – Size of arrays to sample from the contained data.</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of samples to get to build a single batch. A sample of
+<code class="docutils literal notranslate"><span class="pre">(sample_shape[0],</span> <span class="pre">sample_shape[1],</span> <span class="pre">batch_size</span> <span class="pre">*</span>
+<span class="pre">sample_shape[2])</span></code> is first selected from underlying dataset and
+then reshaped into <code class="docutils literal notranslate"><span class="pre">(batch_size,</span> <span class="pre">*sample_shape)</span></code> to get a single
+batch. This is more efficient than getting <code class="docutils literal notranslate"><span class="pre">N</span> <span class="pre">=</span> <span class="pre">batch_size</span></code>
+samples and then stacking.</p></li>
+<li><p><strong>feature_sets</strong> (<em>Optional[dict]</em>) – Optional dictionary describing how the full set of features is
+split between <code class="docutils literal notranslate"><span class="pre">lr_only_features</span></code> and <code class="docutils literal notranslate"><span class="pre">hr_exo_features</span></code>.</p>
+<dl class="simple">
+<dt>features<span class="classifier">list | tuple</span></dt><dd><p>List of full set of features to use for sampling. If no entry
+is provided then all data_vars from data will be used.</p>
+</dd>
+<dt>lr_only_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should only be
+included in the low-res training set and not the high-res
+observations.</p>
+</dd>
+<dt>hr_exo_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should be included
+in the high-resolution observation but not expected to be
+output from the generative model. An example is high-res
+topography that is to be injected mid-network.</p>
+</dd>
+</dl>
+</li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.DummySampler.get_sample_index" title="sup3r.utilities.pytest.helpers.DummySampler.get_sample_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_sample_index</span></code></a>([n_obs])</p></td>
+<td><p>Randomly gets spatiotemporal sample index.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.DummySampler.post_init_log" title="sup3r.utilities.pytest.helpers.DummySampler.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.DummySampler.preflight" title="sup3r.utilities.pytest.helpers.DummySampler.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Check if the sample_shape is larger than the requested raster size</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.DummySampler.wrap" title="sup3r.utilities.pytest.helpers.DummySampler.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.DummySampler.data" title="sup3r.utilities.pytest.helpers.DummySampler.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.DummySampler.hr_exo_features" title="sup3r.utilities.pytest.helpers.DummySampler.hr_exo_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_exo_features</span></code></a></p></td>
+<td><p>Get a list of exogenous high-resolution features that are only used for training e.g., mid-network high-res topo injection.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.DummySampler.hr_features" title="sup3r.utilities.pytest.helpers.DummySampler.hr_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_features</span></code></a></p></td>
+<td><p>Get the high-resolution features corresponding to <cite>hr_features_ind</cite></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.DummySampler.hr_features_ind" title="sup3r.utilities.pytest.helpers.DummySampler.hr_features_ind"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_features_ind</span></code></a></p></td>
+<td><p>Get the high-resolution feature channel indices that should be included for training.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.DummySampler.hr_out_features" title="sup3r.utilities.pytest.helpers.DummySampler.hr_out_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_out_features</span></code></a></p></td>
+<td><p>Get a list of high-resolution features that are intended to be output by the GAN.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.DummySampler.hr_sample_shape" title="sup3r.utilities.pytest.helpers.DummySampler.hr_sample_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_sample_shape</span></code></a></p></td>
+<td><p>Shape of the data sample to select when <cite>__next__()</cite> is called.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.DummySampler.lr_only_features" title="sup3r.utilities.pytest.helpers.DummySampler.lr_only_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_only_features</span></code></a></p></td>
+<td><p>List of feature names or patt*erns that should only be included in the low-res training set and not the high-res observations.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.DummySampler.sample_shape" title="sup3r.utilities.pytest.helpers.DummySampler.sample_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_shape</span></code></a></p></td>
+<td><p>Shape of the data sample to select when <code class="docutils literal notranslate"><span class="pre">__next__()</span></code> is called.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.DummySampler.shape" title="sup3r.utilities.pytest.helpers.DummySampler.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.DummySampler.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.DummySampler.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.DummySampler.wrap" title="sup3r.utilities.pytest.helpers.DummySampler.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.DummySampler.get_sample_index">
+<span class="sig-name descname"><span class="pre">get_sample_index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_obs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.DummySampler.get_sample_index" title="Link to this definition">#</a></dt>
+<dd><p>Randomly gets spatiotemporal sample index.</p>
+<p class="rubric">Notes</p>
+<p>If <code class="docutils literal notranslate"><span class="pre">n_obs</span> <span class="pre">&gt;</span> <span class="pre">1</span></code> this will get a time slice with <code class="docutils literal notranslate"><span class="pre">n_obs</span> <span class="pre">*</span>
+<span class="pre">self.sample_shape[2]</span></code> time steps, which will then be reshaped into
+<code class="docutils literal notranslate"><span class="pre">n_obs</span></code> samples each with <code class="docutils literal notranslate"><span class="pre">self.sample_shape[2]</span></code> time steps. This
+is a much more efficient way of getting batches of samples but only
+works if there are enough continuous time steps to sample.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>sample_index</strong> (<em>tuple</em>) – Tuple of latitude slice, longitude slice, time slice, and features.
+Used to get single observation like <code class="docutils literal notranslate"><span class="pre">self.data[sample_index]</span></code></p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.DummySampler.hr_exo_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_exo_features</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.DummySampler.hr_exo_features" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of exogenous high-resolution features that are only used
+for training e.g., mid-network high-res topo injection. These must come
+at the end of the high-res feature set. These can also be input to the
+model as low-res features.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.DummySampler.hr_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_features</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.DummySampler.hr_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the high-resolution features corresponding to
+<cite>hr_features_ind</cite></p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.DummySampler.hr_features_ind">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_features_ind</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.DummySampler.hr_features_ind" title="Link to this definition">#</a></dt>
+<dd><p>Get the high-resolution feature channel indices that should be
+included for training. Any high-resolution features that are only
+included in the data handler to be coarsened for the low-res input are
+removed</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.DummySampler.hr_out_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_out_features</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.DummySampler.hr_out_features" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of high-resolution features that are intended to be
+output by the GAN. Does not include high-resolution exogenous
+features</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.DummySampler.hr_sample_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_sample_shape</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a></em><a class="headerlink" href="#sup3r.utilities.pytest.helpers.DummySampler.hr_sample_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of the data sample to select when <cite>__next__()</cite> is called. Same
+as sample_shape</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.DummySampler.lr_only_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_only_features</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.DummySampler.lr_only_features" title="Link to this definition">#</a></dt>
+<dd><p>List of feature names or patt*erns that should only be included in
+the low-res training set and not the high-res observations.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.DummySampler.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.DummySampler.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.DummySampler.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.DummySampler.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Check if the sample_shape is larger than the requested raster
+size</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.DummySampler.sample_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">sample_shape</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a></em><a class="headerlink" href="#sup3r.utilities.pytest.helpers.DummySampler.sample_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of the data sample to select when <code class="docutils literal notranslate"><span class="pre">__next__()</span></code> is called.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.DummySampler.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.DummySampler.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.DummySampler.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.DummySampler.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler"><code class="docutils literal notranslate"><span class="pre">DummySampler</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.data"><code class="docutils literal notranslate"><span class="pre">DummySampler.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.get_sample_index"><code class="docutils literal notranslate"><span class="pre">DummySampler.get_sample_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">DummySampler.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.hr_features"><code class="docutils literal notranslate"><span class="pre">DummySampler.hr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.hr_features_ind"><code class="docutils literal notranslate"><span class="pre">DummySampler.hr_features_ind</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.hr_out_features"><code class="docutils literal notranslate"><span class="pre">DummySampler.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.hr_sample_shape"><code class="docutils literal notranslate"><span class="pre">DummySampler.hr_sample_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.lr_only_features"><code class="docutils literal notranslate"><span class="pre">DummySampler.lr_only_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.post_init_log"><code class="docutils literal notranslate"><span class="pre">DummySampler.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.preflight"><code class="docutils literal notranslate"><span class="pre">DummySampler.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.sample_shape"><code class="docutils literal notranslate"><span class="pre">DummySampler.sample_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.shape"><code class="docutils literal notranslate"><span class="pre">DummySampler.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.DummySampler.wrap"><code class="docutils literal notranslate"><span class="pre">DummySampler.wrap()</span></code></a></li>
+</ul>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.SamplerTester"><code class="docutils literal notranslate"><span class="pre">SamplerTester</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.SamplerTester.data"><code class="docutils literal notranslate"><span class="pre">SamplerTester.data</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.SamplerTester.get_sample_index"><code class="docutils literal notranslate"><span class="pre">SamplerTester.get_sample_index()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.SamplerTester.hr_exo_features"><code class="docutils literal notranslate"><span class="pre">SamplerTester.hr_exo_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.SamplerTester.hr_features"><code class="docutils literal notranslate"><span class="pre">SamplerTester.hr_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.SamplerTester.hr_features_ind"><code class="docutils literal notranslate"><span class="pre">SamplerTester.hr_features_ind</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.SamplerTester.hr_out_features"><code class="docutils literal notranslate"><span class="pre">SamplerTester.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.SamplerTester.hr_sample_shape"><code class="docutils literal notranslate"><span class="pre">SamplerTester.hr_sample_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.SamplerTester.lr_only_features"><code class="docutils literal notranslate"><span class="pre">SamplerTester.lr_only_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.SamplerTester.post_init_log"><code class="docutils literal notranslate"><span class="pre">SamplerTester.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.SamplerTester.preflight"><code class="docutils literal notranslate"><span class="pre">SamplerTester.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.SamplerTester.sample_shape"><code class="docutils literal notranslate"><span class="pre">SamplerTester.sample_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.SamplerTester.shape"><code class="docutils literal notranslate"><span class="pre">SamplerTester.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.SamplerTester.wrap"><code class="docutils literal notranslate"><span class="pre">SamplerTester.wrap()</span></code></a></li>
+</ul>
+</li>
+</ul>
+            </nav>
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r-utilities-pytest-helpers-samplertester">
+<h1>sup3r.utilities.pytest.helpers.SamplerTester<a class="headerlink" href="#sup3r-utilities-pytest-helpers-samplertester" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.SamplerTester">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">SamplerTester</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.SamplerTester" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference internal" href="sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler" title="sup3r.preprocessing.samplers.base.Sampler"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sampler</span></code></a></p>
+<p>Keep a record of sample indices for testing.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul>
+<li><p><strong>data</strong> (<em>Union[Sup3rX, Sup3rDataset],</em>) – Object with data that will be sampled from. Usually the <code class="docutils literal notranslate"><span class="pre">.data</span></code>
+attribute of various <a class="reference internal" href="sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container" title="sup3r.preprocessing.base.Container"><code class="xref py py-class docutils literal notranslate"><span class="pre">Container</span></code></a>
+objects.  i.e. <a class="reference internal" href="sup3r.preprocessing.loaders.Loader.html#sup3r.preprocessing.loaders.Loader" title="sup3r.preprocessing.loaders.Loader"><code class="xref py py-class docutils literal notranslate"><span class="pre">Loader</span></code></a>,
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Rasterizer</span></code>,
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Deriver</span></code>, as long as the
+spatial dimensions are not flattened.</p></li>
+<li><p><strong>sample_shape</strong> (<em>tuple</em>) – Size of arrays to sample from the contained data.</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of samples to get to build a single batch. A sample of
+<code class="docutils literal notranslate"><span class="pre">(sample_shape[0],</span> <span class="pre">sample_shape[1],</span> <span class="pre">batch_size</span> <span class="pre">*</span>
+<span class="pre">sample_shape[2])</span></code> is first selected from underlying dataset and
+then reshaped into <code class="docutils literal notranslate"><span class="pre">(batch_size,</span> <span class="pre">*sample_shape)</span></code> to get a single
+batch. This is more efficient than getting <code class="docutils literal notranslate"><span class="pre">N</span> <span class="pre">=</span> <span class="pre">batch_size</span></code>
+samples and then stacking.</p></li>
+<li><p><strong>feature_sets</strong> (<em>Optional[dict]</em>) – Optional dictionary describing how the full set of features is
+split between <code class="docutils literal notranslate"><span class="pre">lr_only_features</span></code> and <code class="docutils literal notranslate"><span class="pre">hr_exo_features</span></code>.</p>
+<dl class="simple">
+<dt>features<span class="classifier">list | tuple</span></dt><dd><p>List of full set of features to use for sampling. If no entry
+is provided then all data_vars from data will be used.</p>
+</dd>
+<dt>lr_only_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should only be
+included in the low-res training set and not the high-res
+observations.</p>
+</dd>
+<dt>hr_exo_features<span class="classifier">list | tuple</span></dt><dd><p>List of feature names or patt*erns that should be included
+in the high-resolution observation but not expected to be
+output from the generative model. An example is high-res
+topography that is to be injected mid-network.</p>
+</dd>
+</dl>
+</li>
+</ul>
+</dd>
+</dl>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.SamplerTester.get_sample_index" title="sup3r.utilities.pytest.helpers.SamplerTester.get_sample_index"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_sample_index</span></code></a>(**kwargs)</p></td>
+<td><p>Override get_sample_index to keep record of index accessible by batch handler.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.SamplerTester.post_init_log" title="sup3r.utilities.pytest.helpers.SamplerTester.post_init_log"><code class="xref py py-obj docutils literal notranslate"><span class="pre">post_init_log</span></code></a>([args_dict])</p></td>
+<td><p>Log additional arguments after initialization.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.SamplerTester.preflight" title="sup3r.utilities.pytest.helpers.SamplerTester.preflight"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preflight</span></code></a>()</p></td>
+<td><p>Check if the sample_shape is larger than the requested raster size</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.SamplerTester.wrap" title="sup3r.utilities.pytest.helpers.SamplerTester.wrap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap</span></code></a>(data)</p></td>
+<td><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.SamplerTester.data" title="sup3r.utilities.pytest.helpers.SamplerTester.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">data</span></code></a></p></td>
+<td><p>Return underlying data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.SamplerTester.hr_exo_features" title="sup3r.utilities.pytest.helpers.SamplerTester.hr_exo_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_exo_features</span></code></a></p></td>
+<td><p>Get a list of exogenous high-resolution features that are only used for training e.g., mid-network high-res topo injection.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.SamplerTester.hr_features" title="sup3r.utilities.pytest.helpers.SamplerTester.hr_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_features</span></code></a></p></td>
+<td><p>Get the high-resolution features corresponding to <cite>hr_features_ind</cite></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.SamplerTester.hr_features_ind" title="sup3r.utilities.pytest.helpers.SamplerTester.hr_features_ind"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_features_ind</span></code></a></p></td>
+<td><p>Get the high-resolution feature channel indices that should be included for training.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.SamplerTester.hr_out_features" title="sup3r.utilities.pytest.helpers.SamplerTester.hr_out_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_out_features</span></code></a></p></td>
+<td><p>Get a list of high-resolution features that are intended to be output by the GAN.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.SamplerTester.hr_sample_shape" title="sup3r.utilities.pytest.helpers.SamplerTester.hr_sample_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">hr_sample_shape</span></code></a></p></td>
+<td><p>Shape of the data sample to select when <cite>__next__()</cite> is called.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.SamplerTester.lr_only_features" title="sup3r.utilities.pytest.helpers.SamplerTester.lr_only_features"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lr_only_features</span></code></a></p></td>
+<td><p>List of feature names or patt*erns that should only be included in the low-res training set and not the high-res observations.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.SamplerTester.sample_shape" title="sup3r.utilities.pytest.helpers.SamplerTester.sample_shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_shape</span></code></a></p></td>
+<td><p>Shape of the data sample to select when <code class="docutils literal notranslate"><span class="pre">__next__()</span></code> is called.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.SamplerTester.shape" title="sup3r.utilities.pytest.helpers.SamplerTester.shape"><code class="xref py py-obj docutils literal notranslate"><span class="pre">shape</span></code></a></p></td>
+<td><p>Get shape of underlying data.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.SamplerTester.data">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.SamplerTester.data" title="Link to this definition">#</a></dt>
+<dd><p>Return underlying data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p><a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a></p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#sup3r.utilities.pytest.helpers.SamplerTester.wrap" title="sup3r.utilities.pytest.helpers.SamplerTester.wrap"><code class="xref py py-meth docutils literal notranslate"><span class="pre">wrap()</span></code></a></p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.SamplerTester.get_sample_index">
+<span class="sig-name descname"><span class="pre">get_sample_index</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.SamplerTester.get_sample_index" title="Link to this definition">#</a></dt>
+<dd><p>Override get_sample_index to keep record of index accessible by
+batch handler. We store the index with the time entry divided by
+the batch size, since we have multiplied by the batch size to get
+a continuous time sample for multiple observations.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.SamplerTester.hr_exo_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_exo_features</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.SamplerTester.hr_exo_features" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of exogenous high-resolution features that are only used
+for training e.g., mid-network high-res topo injection. These must come
+at the end of the high-res feature set. These can also be input to the
+model as low-res features.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.SamplerTester.hr_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_features</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.SamplerTester.hr_features" title="Link to this definition">#</a></dt>
+<dd><p>Get the high-resolution features corresponding to
+<cite>hr_features_ind</cite></p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.SamplerTester.hr_features_ind">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_features_ind</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.SamplerTester.hr_features_ind" title="Link to this definition">#</a></dt>
+<dd><p>Get the high-resolution feature channel indices that should be
+included for training. Any high-resolution features that are only
+included in the data handler to be coarsened for the low-res input are
+removed</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.SamplerTester.hr_out_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_out_features</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.SamplerTester.hr_out_features" title="Link to this definition">#</a></dt>
+<dd><p>Get a list of high-resolution features that are intended to be
+output by the GAN. Does not include high-resolution exogenous
+features</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.SamplerTester.hr_sample_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hr_sample_shape</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a></em><a class="headerlink" href="#sup3r.utilities.pytest.helpers.SamplerTester.hr_sample_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of the data sample to select when <cite>__next__()</cite> is called. Same
+as sample_shape</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.SamplerTester.lr_only_features">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">lr_only_features</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.SamplerTester.lr_only_features" title="Link to this definition">#</a></dt>
+<dd><p>List of feature names or patt*erns that should only be included in
+the low-res training set and not the high-res observations.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.SamplerTester.post_init_log">
+<span class="sig-name descname"><span class="pre">post_init_log</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args_dict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.SamplerTester.post_init_log" title="Link to this definition">#</a></dt>
+<dd><p>Log additional arguments after initialization.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.SamplerTester.preflight">
+<span class="sig-name descname"><span class="pre">preflight</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.SamplerTester.preflight" title="Link to this definition">#</a></dt>
+<dd><p>Check if the sample_shape is larger than the requested raster
+size</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.SamplerTester.sample_shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">sample_shape</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a></em><a class="headerlink" href="#sup3r.utilities.pytest.helpers.SamplerTester.sample_shape" title="Link to this definition">#</a></dt>
+<dd><p>Shape of the data sample to select when <code class="docutils literal notranslate"><span class="pre">__next__()</span></code> is called.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.SamplerTester.shape">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">shape</span></span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.SamplerTester.shape" title="Link to this definition">#</a></dt>
+<dd><p>Get shape of underlying data.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.SamplerTester.wrap">
+<span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#sup3r.utilities.pytest.helpers.SamplerTester.wrap" title="Link to this definition">#</a></dt>
+<dd><p>Return a <a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object or tuple of such. This is a
+tuple when the <cite>.data</cite> attribute belongs to a
+<a class="reference internal" href="sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection" title="sup3r.preprocessing.collections.base.Collection"><code class="xref py py-class docutils literal notranslate"><span class="pre">Collection</span></code></a> object like
+<a class="reference internal" href="sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler" title="sup3r.preprocessing.batch_handlers.factory.BatchHandler"><code class="xref py py-class docutils literal notranslate"><span class="pre">BatchHandler</span></code></a>. Otherwise this is
+<a class="reference internal" href="sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset" title="sup3r.preprocessing.base.Sup3rDataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sup3rDataset</span></code></a> object, which is either a wrapped 2-tuple or
+1-tuple (e.g. <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">2</span></code> or <code class="docutils literal notranslate"><span class="pre">len(data)</span> <span class="pre">==</span> <span class="pre">1)</span></code>. This is a
+2-tuple when <code class="docutils literal notranslate"><span class="pre">.data</span></code> belongs to a dual container object like
+<code class="xref py py-class docutils literal notranslate"><span class="pre">DualSampler</span></code> and a 1-tuple otherwise.</p>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.SamplerTester"><code class="docutils literal notranslate"><span class="pre">SamplerTester</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.SamplerTester.data"><code class="docutils literal notranslate"><span class="pre">SamplerTester.data</span></code></a></li>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.SamplerTester.hr_out_features"><code class="docutils literal notranslate"><span class="pre">SamplerTester.hr_out_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.SamplerTester.hr_sample_shape"><code class="docutils literal notranslate"><span class="pre">SamplerTester.hr_sample_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.SamplerTester.lr_only_features"><code class="docutils literal notranslate"><span class="pre">SamplerTester.lr_only_features</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.SamplerTester.post_init_log"><code class="docutils literal notranslate"><span class="pre">SamplerTester.post_init_log()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.SamplerTester.preflight"><code class="docutils literal notranslate"><span class="pre">SamplerTester.preflight()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.SamplerTester.sample_shape"><code class="docutils literal notranslate"><span class="pre">SamplerTester.sample_shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.SamplerTester.shape"><code class="docutils literal notranslate"><span class="pre">SamplerTester.shape</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.SamplerTester.wrap"><code class="docutils literal notranslate"><span class="pre">SamplerTester.wrap()</span></code></a></li>
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+    <h1>sup3r.utilities.pytest.helpers</h1>
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+  <section id="module-sup3r.utilities.pytest.helpers">
+<span id="sup3r-utilities-pytest-helpers"></span><h1>sup3r.utilities.pytest.helpers<a class="headerlink" href="#module-sup3r.utilities.pytest.helpers" title="Link to this heading">#</a></h1>
+<p>Testing helpers.</p>
+<p class="rubric">Functions</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterFactory.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterFactory" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterFactory"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BatchHandlerTesterFactory</span></code></a>(BatchHandlerClass, ...)</p></td>
+<td><p>Batch handler factory with sample counter and deterministic sampling for testing.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.utilities.pytest.helpers.make_collect_chunks.html#sup3r.utilities.pytest.helpers.make_collect_chunks" title="sup3r.utilities.pytest.helpers.make_collect_chunks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_collect_chunks</span></code></a>(td)</p></td>
+<td><p>Make fake h5 chunked output files for collection tests.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.pytest.helpers.make_fake_cs_ratio_files.html#sup3r.utilities.pytest.helpers.make_fake_cs_ratio_files" title="sup3r.utilities.pytest.helpers.make_fake_cs_ratio_files"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_fake_cs_ratio_files</span></code></a>(td, low_res_times, ...)</p></td>
+<td><p>Make a set of dummy clearsky ratio files that match the GAN fwp outputs</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.utilities.pytest.helpers.make_fake_dset.html#sup3r.utilities.pytest.helpers.make_fake_dset" title="sup3r.utilities.pytest.helpers.make_fake_dset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_fake_dset</span></code></a>(shape, features[, const])</p></td>
+<td><p>Make dummy data for tests.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.pytest.helpers.make_fake_h5_chunks.html#sup3r.utilities.pytest.helpers.make_fake_h5_chunks" title="sup3r.utilities.pytest.helpers.make_fake_h5_chunks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_fake_h5_chunks</span></code></a>(td)</p></td>
+<td><p>Make fake h5 chunked output files for a 5x spatial 2x temporal multi-node forward pass output.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.utilities.pytest.helpers.make_fake_nc_file.html#sup3r.utilities.pytest.helpers.make_fake_nc_file" title="sup3r.utilities.pytest.helpers.make_fake_nc_file"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_fake_nc_file</span></code></a>(file_name, shape, features)</p></td>
+<td><p>Make nc file with dummy data for tests.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.pytest.helpers.make_fake_tif.html#sup3r.utilities.pytest.helpers.make_fake_tif" title="sup3r.utilities.pytest.helpers.make_fake_tif"><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_fake_tif</span></code></a>(shape, outfile)</p></td>
+<td><p>Make dummy data for tests.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.utilities.pytest.helpers.test_sampler_factory.html#sup3r.utilities.pytest.helpers.test_sampler_factory" title="sup3r.utilities.pytest.helpers.test_sampler_factory"><code class="xref py py-obj docutils literal notranslate"><span class="pre">test_sampler_factory</span></code></a>(SamplerClass)</p></td>
+<td><p>Build test samplers which track indices.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterCC"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BatchHandlerTesterCC</span></code></a>(train_containers, *[, ...])</p></td>
+<td><p>Batch handler with sampler with running index record.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC" title="sup3r.utilities.pytest.helpers.BatchHandlerTesterDC"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BatchHandlerTesterDC</span></code></a>(train_containers, *[, ...])</p></td>
+<td><p>Data-centric batch handler with record for testing</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.pytest.helpers.DualSamplerTesterCC.html#sup3r.utilities.pytest.helpers.DualSamplerTesterCC" title="sup3r.utilities.pytest.helpers.DualSamplerTesterCC"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DualSamplerTesterCC</span></code></a></p></td>
+<td><p>alias of <code class="xref py py-class docutils literal notranslate"><span class="pre">SamplerTester</span></code></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.utilities.pytest.helpers.DummyData.html#sup3r.utilities.pytest.helpers.DummyData" title="sup3r.utilities.pytest.helpers.DummyData"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DummyData</span></code></a>(data_shape, features)</p></td>
+<td><p>Dummy container with random data.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.pytest.helpers.DummySampler.html#sup3r.utilities.pytest.helpers.DummySampler" title="sup3r.utilities.pytest.helpers.DummySampler"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DummySampler</span></code></a>(sample_shape, data_shape, ...)</p></td>
+<td><p>Dummy container with random data.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.utilities.pytest.helpers.SamplerTester.html#sup3r.utilities.pytest.helpers.SamplerTester" title="sup3r.utilities.pytest.helpers.SamplerTester"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SamplerTester</span></code></a>(*args, **kwargs)</p></td>
+<td><p>Keep a record of sample indices for testing.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.pytest.helpers.SamplerTesterDC.html#sup3r.utilities.pytest.helpers.SamplerTesterDC" title="sup3r.utilities.pytest.helpers.SamplerTesterDC"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SamplerTesterDC</span></code></a></p></td>
+<td><p>alias of <code class="xref py py-class docutils literal notranslate"><span class="pre">SamplerTester</span></code></p></td>
+</tr>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.pytest.helpers.make_collect_chunks"><code class="docutils literal notranslate"><span class="pre">make_collect_chunks()</span></code></a></li>
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+<h1>sup3r.utilities.pytest.helpers.make_collect_chunks<a class="headerlink" href="#sup3r-utilities-pytest-helpers-make-collect-chunks" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.make_collect_chunks">
+<span class="sig-name descname"><span class="pre">make_collect_chunks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">td</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/pytest/helpers.html#make_collect_chunks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.pytest.helpers.make_collect_chunks" title="Link to this definition">#</a></dt>
+<dd><p>Make fake h5 chunked output files for collection tests.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>td</strong> (<em>tempfile.TemporaryDirectory</em>) – Test TemporaryDirectory</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>out_files</strong> (<em>list</em>) – List of filepaths to chunked files.</p></li>
+<li><p><strong>data</strong> (<em>ndarray</em>) – (spatial_1, spatial_2, temporal, features)
+High resolution forward pass output</p></li>
+<li><p><strong>ws_true</strong> (<em>ndarray</em>) – Windspeed between 0 and 20 in shape (spatial_1, spatial_2, temporal, 1)</p></li>
+<li><p><strong>wd_true</strong> (<em>ndarray</em>) – Windir between 0 and 360 in shape (spatial_1, spatial_2, temporal, 1)</p></li>
+<li><p><strong>features</strong> (<em>list</em>) – List of feature names corresponding to the last dimension of data
+[‘windspeed_100m’, ‘winddirection_100m’]</p></li>
+<li><p><strong>hr_lat_lon</strong> (<em>ndarray</em>) – Array of lat/lon for hr data. (spatial_1, spatial_2, 2)
+Last dimension has ordering (lat, lon)</p></li>
+<li><p><strong>hr_times</strong> (<em>list</em>) – List of np.datetime64 objects for hr data.</p></li>
+</ul>
+</p>
+</dd>
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+<h1>sup3r.utilities.pytest.helpers.make_fake_cs_ratio_files<a class="headerlink" href="#sup3r-utilities-pytest-helpers-make-fake-cs-ratio-files" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.make_fake_cs_ratio_files">
+<span class="sig-name descname"><span class="pre">make_fake_cs_ratio_files</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">td</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">low_res_times</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">low_res_lat_lon</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_meta</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/pytest/helpers.html#make_fake_cs_ratio_files"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.pytest.helpers.make_fake_cs_ratio_files" title="Link to this definition">#</a></dt>
+<dd><p>Make a set of dummy clearsky ratio files that match the GAN fwp outputs</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>td</strong> (<em>tempfile.TemporaryDirectory</em>) – Test TemporaryDirectory</p></li>
+<li><p><strong>low_res_times</strong> – List of times for low res input data. If there is only a single low
+res timestep, it is assumed the data is daily.</p></li>
+<li><p><strong>low_res_lat_lon</strong> – Array of lat/lon for input data.
+(spatial_1, spatial_2, 2)
+Last dimension has ordering (lat, lon)</p></li>
+<li><p><strong>model_meta</strong> (<em>dict</em>) – Meta data for model to write to file.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>fps</strong> (<em>list</em>) – List of clearsky ratio .h5 chunked files.</p></li>
+<li><p><strong>fp_pattern</strong> (<em>str</em>) – Glob pattern*string to find fps</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
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+<h1>sup3r.utilities.pytest.helpers.make_fake_dset<a class="headerlink" href="#sup3r-utilities-pytest-helpers-make-fake-dset" title="Link to this heading">#</a></h1>
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+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.make_fake_dset">
+<span class="sig-name descname"><span class="pre">make_fake_dset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">const</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/pytest/helpers.html#make_fake_dset"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.pytest.helpers.make_fake_dset" title="Link to this definition">#</a></dt>
+<dd><p>Make dummy data for tests.</p>
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+  <section id="sup3r-utilities-pytest-helpers-make-fake-h5-chunks">
+<h1>sup3r.utilities.pytest.helpers.make_fake_h5_chunks<a class="headerlink" href="#sup3r-utilities-pytest-helpers-make-fake-h5-chunks" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.make_fake_h5_chunks">
+<span class="sig-name descname"><span class="pre">make_fake_h5_chunks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">td</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/pytest/helpers.html#make_fake_h5_chunks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.pytest.helpers.make_fake_h5_chunks" title="Link to this definition">#</a></dt>
+<dd><p>Make fake h5 chunked output files for a 5x spatial 2x temporal
+multi-node forward pass output.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>td</strong> (<em>tempfile.TemporaryDirectory</em>) – Test TemporaryDirectory</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>out_files</strong> (<em>list</em>) – List of filepaths to chunked files.</p></li>
+<li><p><strong>data</strong> (<em>ndarray</em>) – (spatial_1, spatial_2, temporal, features)
+High resolution forward pass output</p></li>
+<li><p><strong>ws_true</strong> (<em>ndarray</em>) – Windspeed between 0 and 20 in shape (spatial_1, spatial_2, temporal, 1)</p></li>
+<li><p><strong>wd_true</strong> (<em>ndarray</em>) – Windir between 0 and 360 in shape (spatial_1, spatial_2, temporal, 1)</p></li>
+<li><p><strong>features</strong> (<em>list</em>) – List of feature names corresponding to the last dimension of data
+[‘windspeed_100m’, ‘winddirection_100m’]</p></li>
+<li><p><strong>t_slices_lr</strong> (<em>list</em>) – List of low res temporal slices</p></li>
+<li><p><strong>t_slices_hr</strong> (<em>list</em>) – List of high res temporal slices</p></li>
+<li><p><strong>s_slices_lr</strong> (<em>list</em>) – List of low res spatial slices</p></li>
+<li><p><strong>s_slices_hr</strong> (<em>list</em>) – List of high res spatial slices</p></li>
+<li><p><strong>low_res_lat_lon</strong> (<em>ndarray</em>) – Array of lat/lon for input data. (spatial_1, spatial_2, 2)
+Last dimension has ordering (lat, lon)</p></li>
+<li><p><strong>low_res_times</strong> (<em>list</em>) – List of np.datetime64 objects for coarse data.</p></li>
+</ul>
+</p>
+</dd>
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+<h1>sup3r.utilities.pytest.helpers.make_fake_nc_file<a class="headerlink" href="#sup3r-utilities-pytest-helpers-make-fake-nc-file" title="Link to this heading">#</a></h1>
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+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.make_fake_nc_file">
+<span class="sig-name descname"><span class="pre">make_fake_nc_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/pytest/helpers.html#make_fake_nc_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.pytest.helpers.make_fake_nc_file" title="Link to this definition">#</a></dt>
+<dd><p>Make nc file with dummy data for tests.</p>
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+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.make_fake_tif">
+<span class="sig-name descname"><span class="pre">make_fake_tif</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">outfile</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/pytest/helpers.html#make_fake_tif"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.pytest.helpers.make_fake_tif" title="Link to this definition">#</a></dt>
+<dd><p>Make dummy data for tests.</p>
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+<dt class="sig sig-object py" id="sup3r.utilities.pytest.helpers.test_sampler_factory">
+<span class="sig-name descname"><span class="pre">test_sampler_factory</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">SamplerClass</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/pytest/helpers.html#test_sampler_factory"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.pytest.helpers.test_sampler_factory" title="Link to this definition">#</a></dt>
+<dd><p>Build test samplers which track indices.</p>
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+  <section id="module-sup3r.utilities.pytest">
+<span id="sup3r-utilities-pytest"></span><h1>sup3r.utilities.pytest<a class="headerlink" href="#module-sup3r.utilities.pytest" title="Link to this heading">#</a></h1>
+<p>Pytest helper utilities</p>
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+    <h1>sup3r.utilities.utilities.Timer</h1>
+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
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+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.utilities.Timer"><code class="docutils literal notranslate"><span class="pre">Timer</span></code></a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.utilities.Timer.start"><code class="docutils literal notranslate"><span class="pre">Timer.start()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.utilities.Timer.stop"><code class="docutils literal notranslate"><span class="pre">Timer.stop()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.utilities.Timer.elapsed"><code class="docutils literal notranslate"><span class="pre">Timer.elapsed</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.utilities.Timer.elapsed_str"><code class="docutils literal notranslate"><span class="pre">Timer.elapsed_str</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.utilities.Timer.__call__"><code class="docutils literal notranslate"><span class="pre">Timer.__call__()</span></code></a></li>
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+              
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+                <article class="bd-article">
+                  
+  <section id="sup3r-utilities-utilities-timer">
+<h1>sup3r.utilities.utilities.Timer<a class="headerlink" href="#sup3r-utilities-utilities-timer" title="Link to this heading">#</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="sup3r.utilities.utilities.Timer">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">Timer</span></span><a class="reference internal" href="../_modules/sup3r/utilities/utilities.html#Timer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.utilities.Timer" title="Link to this definition">#</a></dt>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<p>Timer class for timing and storing function call times.</p>
+<p class="rubric">Methods</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.utilities.Timer.start" title="sup3r.utilities.utilities.Timer.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start</span></code></a>()</p></td>
+<td><p>Set start of timing period.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.utilities.Timer.stop" title="sup3r.utilities.utilities.Timer.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stop</span></code></a>()</p></td>
+<td><p>Set stop time of timing period.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Attributes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#sup3r.utilities.utilities.Timer.elapsed" title="sup3r.utilities.utilities.Timer.elapsed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">elapsed</span></code></a></p></td>
+<td><p>Elapsed time between start and stop.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#sup3r.utilities.utilities.Timer.elapsed_str" title="sup3r.utilities.utilities.Timer.elapsed_str"><code class="xref py py-obj docutils literal notranslate"><span class="pre">elapsed_str</span></code></a></p></td>
+<td><p>Elapsed time in string format.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.utilities.Timer.start">
+<span class="sig-name descname"><span class="pre">start</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/utilities.html#Timer.start"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.utilities.Timer.start" title="Link to this definition">#</a></dt>
+<dd><p>Set start of timing period.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.utilities.Timer.stop">
+<span class="sig-name descname"><span class="pre">stop</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/utilities.html#Timer.stop"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.utilities.Timer.stop" title="Link to this definition">#</a></dt>
+<dd><p>Set stop time of timing period.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.utilities.Timer.elapsed">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">elapsed</span></span><a class="headerlink" href="#sup3r.utilities.utilities.Timer.elapsed" title="Link to this definition">#</a></dt>
+<dd><p>Elapsed time between start and stop.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="sup3r.utilities.utilities.Timer.elapsed_str">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">elapsed_str</span></span><a class="headerlink" href="#sup3r.utilities.utilities.Timer.elapsed_str" title="Link to this definition">#</a></dt>
+<dd><p>Elapsed time in string format.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="sup3r.utilities.utilities.Timer.__call__">
+<span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">func</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">call_id</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/utilities.html#Timer.__call__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.utilities.Timer.__call__" title="Link to this definition">#</a></dt>
+<dd><p>Time function call and store elapsed time in self.log.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>func</strong> (<em>function</em>) – Function to time</p></li>
+<li><p><strong>call_id</strong> (<em>int | None</em>) – ID to distingush calls with the same function name. For example,
+when runnning forward passes on multiple chunks.</p></li>
+<li><p><strong>log</strong> (<em>bool</em>) – Whether to write to active logger</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><em>output of func</em></p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
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+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.utilities.Timer.start"><code class="docutils literal notranslate"><span class="pre">Timer.start()</span></code></a></li>
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+  <section id="sup3r-utilities-utilities-generate-random-string">
+<h1>sup3r.utilities.utilities.generate_random_string<a class="headerlink" href="#sup3r-utilities-utilities-generate-random-string" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.utilities.utilities.generate_random_string">
+<span class="sig-name descname"><span class="pre">generate_random_string</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">length</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/utilities.html#generate_random_string"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.utilities.generate_random_string" title="Link to this definition">#</a></dt>
+<dd><p>Generate random string with given length. Used for naming temporary
+files to avoid collisions.</p>
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+    <h1>sup3r.utilities.utilities</h1>
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+  <section id="module-sup3r.utilities.utilities">
+<span id="sup3r-utilities-utilities"></span><h1>sup3r.utilities.utilities<a class="headerlink" href="#module-sup3r.utilities.utilities" title="Link to this heading">#</a></h1>
+<p>Miscellaneous utilities shared across multiple modules</p>
+<p class="rubric">Functions</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.utilities.generate_random_string.html#sup3r.utilities.utilities.generate_random_string" title="sup3r.utilities.utilities.generate_random_string"><code class="xref py py-obj docutils literal notranslate"><span class="pre">generate_random_string</span></code></a>(length)</p></td>
+<td><p>Generate random string with given length.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.utilities.utilities.nn_fill_array.html#sup3r.utilities.utilities.nn_fill_array" title="sup3r.utilities.utilities.nn_fill_array"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nn_fill_array</span></code></a>(array)</p></td>
+<td><p>Fill any NaN values in an np.ndarray from the nearest non-nan values.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.utilities.pd_date_range.html#sup3r.utilities.utilities.pd_date_range" title="sup3r.utilities.utilities.pd_date_range"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pd_date_range</span></code></a>(*args, **kwargs)</p></td>
+<td><p>A simple wrapper on the pd.date_range() method that handles the closed vs.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.utilities.utilities.preprocess_datasets.html#sup3r.utilities.utilities.preprocess_datasets" title="sup3r.utilities.utilities.preprocess_datasets"><code class="xref py py-obj docutils literal notranslate"><span class="pre">preprocess_datasets</span></code></a>(dset)</p></td>
+<td><p>Standardization preprocessing applied before datasets are concatenated by <code class="docutils literal notranslate"><span class="pre">xr.open_mfdataset</span></code></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.utilities.safe_cast.html#sup3r.utilities.utilities.safe_cast" title="sup3r.utilities.utilities.safe_cast"><code class="xref py py-obj docutils literal notranslate"><span class="pre">safe_cast</span></code></a>(o)</p></td>
+<td><p>Cast to type safe for serialization.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.utilities.utilities.safe_serialize.html#sup3r.utilities.utilities.safe_serialize" title="sup3r.utilities.utilities.safe_serialize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">safe_serialize</span></code></a>(obj, **kwargs)</p></td>
+<td><p>json.dumps with non-serializable object handling.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.utilities.spatial_coarsening.html#sup3r.utilities.utilities.spatial_coarsening" title="sup3r.utilities.utilities.spatial_coarsening"><code class="xref py py-obj docutils literal notranslate"><span class="pre">spatial_coarsening</span></code></a>(data[, s_enhance, obs_axis])</p></td>
+<td><p>Coarsen data according to s_enhance resolution</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="sup3r.utilities.utilities.temporal_coarsening.html#sup3r.utilities.utilities.temporal_coarsening" title="sup3r.utilities.utilities.temporal_coarsening"><code class="xref py py-obj docutils literal notranslate"><span class="pre">temporal_coarsening</span></code></a>(data[, t_enhance, method])</p></td>
+<td><p>Coarsen data according to t_enhance resolution</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.utilities.xr_open_mfdataset.html#sup3r.utilities.utilities.xr_open_mfdataset" title="sup3r.utilities.utilities.xr_open_mfdataset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">xr_open_mfdataset</span></code></a>(files, **kwargs)</p></td>
+<td><p>Wrapper for xr.open_mfdataset with default opening options.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+<p class="rubric">Classes</p>
+<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="sup3r.utilities.utilities.Timer.html#sup3r.utilities.utilities.Timer" title="sup3r.utilities.utilities.Timer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Timer</span></code></a>()</p></td>
+<td><p>Timer class for timing and storing function call times.</p></td>
+</tr>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.utilities.nn_fill_array"><code class="docutils literal notranslate"><span class="pre">nn_fill_array()</span></code></a></li>
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+  <section id="sup3r-utilities-utilities-nn-fill-array">
+<h1>sup3r.utilities.utilities.nn_fill_array<a class="headerlink" href="#sup3r-utilities-utilities-nn-fill-array" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.utilities.utilities.nn_fill_array">
+<span class="sig-name descname"><span class="pre">nn_fill_array</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">array</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/utilities.html#nn_fill_array"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.utilities.nn_fill_array" title="Link to this definition">#</a></dt>
+<dd><p>Fill any NaN values in an np.ndarray from the nearest non-nan values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>array</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – Input array with NaN values</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>array</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – Output array with NaN values filled</p>
+</dd>
+</dl>
+</dd></dl>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.utilities.pd_date_range"><code class="docutils literal notranslate"><span class="pre">pd_date_range()</span></code></a></li>
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+<h1>sup3r.utilities.utilities.pd_date_range<a class="headerlink" href="#sup3r-utilities-utilities-pd-date-range" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.utilities.utilities.pd_date_range">
+<span class="sig-name descname"><span class="pre">pd_date_range</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/utilities.html#pd_date_range"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.utilities.pd_date_range" title="Link to this definition">#</a></dt>
+<dd><p>A simple wrapper on the pd.date_range() method that handles the closed
+vs. inclusive kwarg change in pd 1.4.0</p>
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+  <section id="sup3r-utilities-utilities-preprocess-datasets">
+<h1>sup3r.utilities.utilities.preprocess_datasets<a class="headerlink" href="#sup3r-utilities-utilities-preprocess-datasets" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.utilities.utilities.preprocess_datasets">
+<span class="sig-name descname"><span class="pre">preprocess_datasets</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dset</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/utilities.html#preprocess_datasets"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.utilities.preprocess_datasets" title="Link to this definition">#</a></dt>
+<dd><p>Standardization preprocessing applied before datasets are concatenated
+by <code class="docutils literal notranslate"><span class="pre">xr.open_mfdataset</span></code></p>
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+<h1>sup3r.utilities.utilities.safe_cast<a class="headerlink" href="#sup3r-utilities-utilities-safe-cast" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.utilities.utilities.safe_cast">
+<span class="sig-name descname"><span class="pre">safe_cast</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">o</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/utilities.html#safe_cast"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.utilities.safe_cast" title="Link to this definition">#</a></dt>
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+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.utilities.utilities.safe_serialize">
+<span class="sig-name descname"><span class="pre">safe_serialize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">obj</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/utilities.html#safe_serialize"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.utilities.safe_serialize" title="Link to this definition">#</a></dt>
+<dd><p>json.dumps with non-serializable object handling.</p>
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+    <h1>sup3r.utilities.utilities.spatial_coarsening</h1>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r.utilities.utilities.spatial_coarsening"><code class="docutils literal notranslate"><span class="pre">spatial_coarsening()</span></code></a></li>
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+<h1>sup3r.utilities.utilities.spatial_coarsening<a class="headerlink" href="#sup3r-utilities-utilities-spatial-coarsening" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.utilities.utilities.spatial_coarsening">
+<span class="sig-name descname"><span class="pre">spatial_coarsening</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">s_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">obs_axis</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/utilities.html#spatial_coarsening"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.utilities.spatial_coarsening" title="Link to this definition">#</a></dt>
+<dd><p>Coarsen data according to s_enhance resolution</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 5D | 4D | 3D | 2D array with dimensions:
+(n_obs, spatial_1, spatial_2, temporal, features) (obs_axis=True)
+(n_obs, spatial_1, spatial_2, features) (obs_axis=True)
+(spatial_1, spatial_2, temporal, features) (obs_axis=False)
+(spatial_1, spatial_2, temporal_or_features) (obs_axis=False)
+(spatial_1, spatial_2) (obs_axis=False)</p></li>
+<li><p><strong>s_enhance</strong> (<em>int</em>) – factor by which to coarsen spatial dimensions</p></li>
+<li><p><strong>obs_axis</strong> (<em>bool</em>) – Flag for if axis=0 is the observation axis. If True (default)
+spatial axis=(1, 2) (zero-indexed), if False spatial axis=(0, 1)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>data</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 2D, 3D | 4D | 5D array with same dimensions as data with new coarse
+resolution</p>
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+  <section id="sup3r-utilities-utilities-temporal-coarsening">
+<h1>sup3r.utilities.utilities.temporal_coarsening<a class="headerlink" href="#sup3r-utilities-utilities-temporal-coarsening" title="Link to this heading">#</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="sup3r.utilities.utilities.temporal_coarsening">
+<span class="sig-name descname"><span class="pre">temporal_coarsening</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_enhance</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'subsample'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/sup3r/utilities/utilities.html#temporal_coarsening"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sup3r.utilities.utilities.temporal_coarsening" title="Link to this definition">#</a></dt>
+<dd><p>Coarsen data according to t_enhance resolution</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 5D array with dimensions
+(observations, spatial_1, spatial_2, temporal, features)</p></li>
+<li><p><strong>t_enhance</strong> (<em>int</em>) – factor by which to coarsen temporal dimension</p></li>
+<li><p><strong>method</strong> (<em>str</em>) – accepted options: [subsample, average, total, min, max]
+Subsample will take every t_enhance-th time step, average will average
+over t_enhance time steps, total will sum over t_enhance time steps</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>coarse_data</strong> (<em>Union[np.ndarray, da.core.Array]</em>) – 5D array with same dimensions as data with new coarse resolution</p>
+</dd>
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+<dd><p>Wrapper for xr.open_mfdataset with default opening options.</p>
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+<li class="toctree-l3"><a class="reference internal" href="../_autosummary/sup3r.utilities.ModuleName.html">sup3r.utilities.ModuleName</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.cli.SlurmManager.html">sup3r.utilities.cli.SlurmManager</a></li>
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+</ul>
+</details></li>
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+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.interpolation.Interpolator.html">sup3r.utilities.interpolation.Interpolator</a></li>
+</ul>
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+<li class="toctree-l3 has-children"><a class="reference internal" href="../_autosummary/sup3r.utilities.loss_metrics.html">sup3r.utilities.loss_metrics</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.html">sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss</a></li>
+</ul>
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+<li class="toctree-l3 has-children"><a class="reference internal" href="../_autosummary/sup3r.utilities.pytest.html">sup3r.utilities.pytest</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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+    <!-- Table of contents -->
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+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r-batch">batch</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r-bias-calc">bias-calc</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r-data-collect">data-collect</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r-forward-pass">forward-pass</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r-pipeline">pipeline</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r-qa">qa</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3r-solar">solar</a></li>
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+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <section id="sup3r">
+<h1>sup3r<a class="headerlink" href="#sup3r" title="Link to this heading">#</a></h1>
+<p>Sup3r command line interface.</p>
+<p>Try using the following commands to pull up the help pages for the
+respective sup3r CLIs:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>$ sup3r --help
+
+$ sup3r -c config.json pipeline --help
+
+$ sup3r -c config.json forward-pass --help
+
+$ sup3r -c config.json data-collect --help
+</pre></div>
+</div>
+<p>Typically, a good place to start is to set up a sup3r job with a pipeline
+config that points to several sup3r modules that you want to run in serial.
+You would call the sup3r pipeline CLI using either of these equivalent
+commands:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>$ sup3r -c config_pipeline.json pipeline
+
+$ sup3r-pipeline from-config -c config_pipeline.json
+</pre></div>
+</div>
+<p>See the help pages of the module CLIs for more details on the config files
+for each CLI.</p>
+<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>sup3r<span class="w"> </span><span class="o">[</span>OPTIONS<span class="o">]</span><span class="w"> </span>COMMAND<span class="w"> </span><span class="o">[</span>ARGS<span class="o">]</span>...
+</pre></div>
+</div>
+<p class="rubric">Options</p>
+<dl class="std option">
+<dt class="sig sig-object std" id="cmdoption-sup3r-version">
+<span class="sig-name descname"><span class="pre">--version</span></span><span class="sig-prename descclassname"></span><a class="headerlink" href="#cmdoption-sup3r-version" title="Link to this definition">#</a></dt>
+<dd><p>Show the version and exit.</p>
+</dd></dl>
+
+<dl class="std option">
+<dt class="sig sig-object std" id="cmdoption-sup3r-c">
+<span id="cmdoption-sup3r-config_file"></span><span class="sig-name descname"><span class="pre">-c</span></span><span class="sig-prename descclassname"></span><span class="sig-prename descclassname"><span class="pre">,</span> </span><span class="sig-name descname"><span class="pre">--config_file</span></span><span class="sig-prename descclassname"> <span class="pre">&lt;config_file&gt;</span></span><a class="headerlink" href="#cmdoption-sup3r-c" title="Link to this definition">#</a></dt>
+<dd><p>sup3r configuration file json for a single module.</p>
+</dd></dl>
+
+<dl class="std option">
+<dt class="sig sig-object std" id="cmdoption-sup3r-v">
+<span id="cmdoption-sup3r-verbose"></span><span class="sig-name descname"><span class="pre">-v</span></span><span class="sig-prename descclassname"></span><span class="sig-prename descclassname"><span class="pre">,</span> </span><span class="sig-name descname"><span class="pre">--verbose</span></span><span class="sig-prename descclassname"></span><a class="headerlink" href="#cmdoption-sup3r-v" title="Link to this definition">#</a></dt>
+<dd><p>Flag to turn on debug logging. Default is not verbose.</p>
+</dd></dl>
+
+<section id="sup3r-batch">
+<h2>batch<a class="headerlink" href="#sup3r-batch" title="Link to this heading">#</a></h2>
+<p>Create and run multiple sup3r project directories based on batch
+permutation logic.</p>
+<p>The sup3r batch module (built on the reV batch functionality) is a way to
+create and run many sup3r pipeline projects based on permutations of
+key-value pairs in the run config files. A user configures the batch file
+by creating one or more “sets” that contain one or more arguments (keys
+found in config files) that are to be parameterized. For example, in the
+config below, four sup3r pipelines will be created where arg1 and arg2 are
+set to [0, “a”], [0, “b”], [1, “a”], [1, “b”] in config_fwp.json:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>
+{
+    &quot;pipeline_config&quot;: &quot;./config_pipeline.json&quot;,
+    &quot;sets&quot;: [
+      {
+        &quot;args&quot;: {
+          &quot;arg1&quot;: [0, 1],
+          &quot;arg2&quot;: [&quot;a&quot;, &quot;b&quot;],
+        },
+        &quot;files&quot;: [&quot;./config_fwp.json&quot;],
+        &quot;set_tag&quot;: &quot;set1&quot;
+      }
+}
+</pre></div>
+</div>
+<p>Note that you can use multiple “sets” to isolate parameter permutations.</p>
+<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>sup3r<span class="w"> </span>batch<span class="w"> </span><span class="o">[</span>OPTIONS<span class="o">]</span><span class="w"> </span>COMMAND<span class="w"> </span><span class="o">[</span>ARGS<span class="o">]</span>...
+</pre></div>
+</div>
+<p class="rubric">Options</p>
+<dl class="std option">
+<dt class="sig sig-object std" id="cmdoption-sup3r-batch-dry-run">
+<span class="sig-name descname"><span class="pre">--dry-run</span></span><span class="sig-prename descclassname"></span><a class="headerlink" href="#cmdoption-sup3r-batch-dry-run" title="Link to this definition">#</a></dt>
+<dd><p>Flag to do a dry run (make batch dirs without running).</p>
+</dd></dl>
+
+<dl class="std option">
+<dt class="sig sig-object std" id="cmdoption-sup3r-batch-cancel">
+<span class="sig-name descname"><span class="pre">--cancel</span></span><span class="sig-prename descclassname"></span><a class="headerlink" href="#cmdoption-sup3r-batch-cancel" title="Link to this definition">#</a></dt>
+<dd><p>Flag to cancel all jobs associated with a given batch.</p>
+</dd></dl>
+
+<dl class="std option">
+<dt class="sig sig-object std" id="cmdoption-sup3r-batch-delete">
+<span class="sig-name descname"><span class="pre">--delete</span></span><span class="sig-prename descclassname"></span><a class="headerlink" href="#cmdoption-sup3r-batch-delete" title="Link to this definition">#</a></dt>
+<dd><p>Flag to delete all batch job sub directories associated with the batch_jobs.csv in the current batch config directory.</p>
+</dd></dl>
+
+<dl class="std option">
+<dt class="sig sig-object std" id="cmdoption-sup3r-batch-monitor-background">
+<span class="sig-name descname"><span class="pre">--monitor-background</span></span><span class="sig-prename descclassname"></span><a class="headerlink" href="#cmdoption-sup3r-batch-monitor-background" title="Link to this definition">#</a></dt>
+<dd><p>Flag to monitor all batch pipelines continuously in the background using the nohup command. Note that the stdout/stderr will not be captured, but you can set a pipeline “log_file” to capture logs.</p>
+</dd></dl>
+
+<dl class="std option">
+<dt class="sig sig-object std" id="cmdoption-sup3r-batch-v">
+<span id="cmdoption-sup3r-batch-verbose"></span><span class="sig-name descname"><span class="pre">-v</span></span><span class="sig-prename descclassname"></span><span class="sig-prename descclassname"><span class="pre">,</span> </span><span class="sig-name descname"><span class="pre">--verbose</span></span><span class="sig-prename descclassname"></span><a class="headerlink" href="#cmdoption-sup3r-batch-v" title="Link to this definition">#</a></dt>
+<dd><p>Flag to turn on debug logging.</p>
+</dd></dl>
+
+</section>
+<section id="sup3r-bias-calc">
+<h2>bias-calc<a class="headerlink" href="#sup3r-bias-calc" title="Link to this heading">#</a></h2>
+<p>Sup3r bias correction calculation module to create bias correction
+factors for low res input data.</p>
+<p>This is typically used to understand and correct the biases in global
+climate model (GCM) data from CMIP. Bias correcting GCM data is a very
+common process when dealing with climate data and this helps automate that
+process prior to passing GCM data through sup3r generative models. This is
+typically the first step in a GCM downscaling pipeline.</p>
+<p>You can call the bias calc module via the sup3r-pipeline CLI, or call it
+directly with either of these equivalent commands:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>$ sup3r -c config_bias.json bias-calc
+
+$ sup3r-bias-calc from-config -c config_bias.json
+</pre></div>
+</div>
+<p>A sup3r bias calc config.json file can contain any arguments or keyword
+arguments required to call the</p>
+<p>The config has high level <code class="docutils literal notranslate"><span class="pre">bias_calc_class</span></code> and <code class="docutils literal notranslate"><span class="pre">jobs</span></code> keys. The
+<code class="docutils literal notranslate"><span class="pre">bias_calc_class</span></code> is a class name from the <a class="reference internal" href="../_autosummary/sup3r.bias.html#module-sup3r.bias" title="sup3r.bias"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sup3r.bias</span></code></a>
+module, and the <code class="docutils literal notranslate"><span class="pre">jobs</span></code> argument is a list of kwargs required to
+initialize the <code class="docutils literal notranslate"><span class="pre">bias_calc_class</span></code> and run the <code class="docutils literal notranslate"><span class="pre">bias_calc_class.run()</span></code>
+method (for example, see
+<a class="reference internal" href="../_autosummary/sup3r.bias.bias_calc.LinearCorrection.html#sup3r.bias.bias_calc.LinearCorrection.run" title="sup3r.bias.bias_calc.LinearCorrection.run"><code class="xref py py-meth docutils literal notranslate"><span class="pre">sup3r.bias.bias_calc.LinearCorrection.run()</span></code></a>). There are also has
+several optional arguments: <code class="docutils literal notranslate"><span class="pre">log_pattern</span></code>, <code class="docutils literal notranslate"><span class="pre">log_level</span></code>, and
+<code class="docutils literal notranslate"><span class="pre">execution_control</span></code>. Here’s a small example bias calc config:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>
+{
+    &quot;bias_calc_class&quot;: &quot;LinearCorrection&quot;,
+    &quot;jobs&quot;: [
+        {
+            &quot;base_fps&quot; : [&quot;/datasets/WIND/HRRR/HRRR_2015.h5&quot;],
+            &quot;bias_fps&quot;: [&quot;./ta_day_EC-Earth3-Veg_ssp585.nc&quot;],
+            &quot;base_dset&quot;: &quot;u_100m&quot;,
+            &quot;bias_feature&quot;: &quot;u_100m&quot;,
+            &quot;target&quot;: [20, -130],
+            &quot;shape&quot;: [48, 95]
+         }
+    ],
+    &quot;execution_control&quot;: {
+        &quot;option&quot;: &quot;kestrel&quot;,
+        &quot;walltime&quot;: 4,
+        &quot;alloc&quot;: &quot;sup3r&quot;
+    }
+}
+</pre></div>
+</div>
+<p>Note that the <code class="docutils literal notranslate"><span class="pre">execution_control</span></code> block contains kwargs that would
+be required to distribute the job on multiple nodes on the NREL HPC.
+To run the job locally, use <code class="docutils literal notranslate"><span class="pre">execution_control:</span> <span class="pre">{&quot;option&quot;:</span> <span class="pre">&quot;local&quot;}</span></code>.</p>
+<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>sup3r<span class="w"> </span>bias-calc<span class="w"> </span><span class="o">[</span>OPTIONS<span class="o">]</span>
+</pre></div>
+</div>
+<p class="rubric">Options</p>
+<dl class="std option">
+<dt class="sig sig-object std" id="cmdoption-sup3r-bias-calc-v">
+<span id="cmdoption-sup3r-bias-calc-verbose"></span><span class="sig-name descname"><span class="pre">-v</span></span><span class="sig-prename descclassname"></span><span class="sig-prename descclassname"><span class="pre">,</span> </span><span class="sig-name descname"><span class="pre">--verbose</span></span><span class="sig-prename descclassname"></span><a class="headerlink" href="#cmdoption-sup3r-bias-calc-v" title="Link to this definition">#</a></dt>
+<dd><p>Flag to turn on debug logging.</p>
+</dd></dl>
+
+</section>
+<section id="sup3r-data-collect">
+<h2>data-collect<a class="headerlink" href="#sup3r-data-collect" title="Link to this heading">#</a></h2>
+<p>Sup3r data collection following forward pass.</p>
+<p>The sup3r data-collect module can be used to collect time-chunked files
+that were spit out by multi-node forward pass jobs. You can call the
+data-collect module via the sup3r-pipeline CLI, or call it directly with
+either of these equivalent commands:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>$ sup3r -c config_collect.json data-collect
+
+$ sup3r-data-collect from-config -c config_collect.json
+</pre></div>
+</div>
+<p>A sup3r data-collect config.json file can contain any arguments or keyword
+arguments required to run the
+<code class="xref py py-meth docutils literal notranslate"><span class="pre">sup3r.postprocessing.collectors.Collector.collect()</span></code> method. The
+config also has several optional arguments: <code class="docutils literal notranslate"><span class="pre">log_file</span></code>, <code class="docutils literal notranslate"><span class="pre">log_level</span></code>,
+and <code class="docutils literal notranslate"><span class="pre">execution_control</span></code>. Here’s a small example data-collect config:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>
+{
+    &quot;file_paths&quot;: &quot;./outputs/*.h5&quot;,
+    &quot;out_file&quot;: &quot;./outputs/output_file.h5&quot;,
+    &quot;features&quot;: [&quot;windspeed_100m&quot;, &quot;winddirection_100m&quot;],
+    &quot;log_file&quot;: &quot;./logs/collect.log&quot;,
+    &quot;execution_control&quot;: {&quot;option&quot;: &quot;local&quot;},
+    &quot;log_level&quot;: &quot;DEBUG&quot;
+}
+</pre></div>
+</div>
+<p>Note that the <code class="docutils literal notranslate"><span class="pre">execution_control</span></code> has the same options as forward-pass
+and you can set <code class="docutils literal notranslate"><span class="pre">&quot;option&quot;:</span> <span class="pre">&quot;kestrel&quot;</span></code> to run on the NREL HPC.</p>
+<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>sup3r<span class="w"> </span>data-collect<span class="w"> </span><span class="o">[</span>OPTIONS<span class="o">]</span>
+</pre></div>
+</div>
+<p class="rubric">Options</p>
+<dl class="std option">
+<dt class="sig sig-object std" id="cmdoption-sup3r-data-collect-v">
+<span id="cmdoption-sup3r-data-collect-verbose"></span><span class="sig-name descname"><span class="pre">-v</span></span><span class="sig-prename descclassname"></span><span class="sig-prename descclassname"><span class="pre">,</span> </span><span class="sig-name descname"><span class="pre">--verbose</span></span><span class="sig-prename descclassname"></span><a class="headerlink" href="#cmdoption-sup3r-data-collect-v" title="Link to this definition">#</a></dt>
+<dd><p>Flag to turn on debug logging.</p>
+</dd></dl>
+
+</section>
+<section id="sup3r-forward-pass">
+<h2>forward-pass<a class="headerlink" href="#sup3r-forward-pass" title="Link to this heading">#</a></h2>
+<p>Sup3r forward pass to super-resolve data.</p>
+<p>The sup3r forward pass is where all the magic happens. This module takes in
+low resolution data from source files (e.g. WRF or GCM outputs), loads a
+saved Sup3rGan model, does a forward pass of the low res data through the
+generator, and then saves the output high resolution data to disk. This
+module also handles multi-node and multi-core parallelization.</p>
+<p>You can call the forward-pass module via the sup3r-pipeline CLI, or call it
+directly with either of these equivalent commands:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>$ sup3r -c config_fwp.json forward-pass
+
+$ sup3r-forward-pass from-config -c config_fwp.json
+</pre></div>
+</div>
+<p>A sup3r forward pass config.json file can contain any arguments or keyword
+arguments required to initialize the
+<code class="xref py py-class docutils literal notranslate"><span class="pre">sup3r.pipeline.forward_pass.ForwardPassStrategy</span></code> module. The config
+also has several optional arguments: <code class="docutils literal notranslate"><span class="pre">log_pattern</span></code>, <code class="docutils literal notranslate"><span class="pre">log_level</span></code>, and
+<code class="docutils literal notranslate"><span class="pre">execution_control</span></code>. Here’s a small example forward pass config:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>
+{
+    &quot;file_paths&quot;: &quot;./source_files*.nc&quot;,
+    &quot;model_kwargs&quot;: {
+        &quot;model_dir&quot;: &quot;./sup3r_model/&quot;
+    },
+    &quot;out_pattern&quot;: &quot;./output/sup3r_out_{file_id}.h5&quot;,
+    &quot;log_pattern&quot;: &quot;./logs/log_{node_index}.log&quot;,
+    &quot;log_level&quot;: &quot;DEBUG&quot;,
+    &quot;fwp_chunk_shape&quot;: [5, 5, 3],
+    &quot;spatial_pad&quot;: 1,
+    &quot;temporal_pad&quot;: 1,
+    &quot;max_nodes&quot;: 1,
+    &quot;output_workers&quot;: 1,
+    &quot;pass_workers&quot;: 8,
+    &quot;input_handler_kwargs&quot;: {&quot;max_workers&quot;: 1},
+    &quot;execution_control&quot;: {
+        &quot;option&quot;: &quot;kestrel&quot;,
+        &quot;walltime&quot;: 4,
+        &quot;alloc&quot;: &quot;sup3r&quot;
+    }
+}
+</pre></div>
+</div>
+<p>Note that the <code class="docutils literal notranslate"><span class="pre">execution_control</span></code> block contains kwargs that would
+be required to distribute the job on multiple nodes on the NREL HPC.
+To run the job locally, use <code class="docutils literal notranslate"><span class="pre">execution_control:</span> <span class="pre">{&quot;option&quot;:</span> <span class="pre">&quot;local&quot;}</span></code>.</p>
+<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>sup3r<span class="w"> </span>forward-pass<span class="w"> </span><span class="o">[</span>OPTIONS<span class="o">]</span>
+</pre></div>
+</div>
+<p class="rubric">Options</p>
+<dl class="std option">
+<dt class="sig sig-object std" id="cmdoption-sup3r-forward-pass-v">
+<span id="cmdoption-sup3r-forward-pass-verbose"></span><span class="sig-name descname"><span class="pre">-v</span></span><span class="sig-prename descclassname"></span><span class="sig-prename descclassname"><span class="pre">,</span> </span><span class="sig-name descname"><span class="pre">--verbose</span></span><span class="sig-prename descclassname"></span><a class="headerlink" href="#cmdoption-sup3r-forward-pass-v" title="Link to this definition">#</a></dt>
+<dd><p>Flag to turn on debug logging.</p>
+</dd></dl>
+
+</section>
+<section id="sup3r-pipeline">
+<h2>pipeline<a class="headerlink" href="#sup3r-pipeline" title="Link to this heading">#</a></h2>
+<p>Execute multiple steps in a Sup3r pipeline.</p>
+<p>Typically, a good place to start is to set up a sup3r job with a pipeline
+config that points to several sup3r modules that you want to run in serial.
+You would call the sup3r pipeline CLI using either of these equivalent
+commands:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>$ sup3r -c config_pipeline.json pipeline
+
+$ sup3r-pipeline from-config -c config_pipeline.json
+</pre></div>
+</div>
+<p>A typical sup3r pipeline config.json file might look like this:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>
+{
+    &quot;logging&quot;: {&quot;log_level&quot;: &quot;DEBUG&quot;},
+    &quot;pipeline&quot;: [
+        {&quot;forward-pass&quot;: &quot;./config_fwp.json&quot;},
+        {&quot;data-collect&quot;: &quot;./config_collect.json&quot;}
+    ]
+}
+</pre></div>
+</div>
+<p>See the other CLI help pages for what the respective module configs
+require.</p>
+<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>sup3r<span class="w"> </span>pipeline<span class="w"> </span><span class="o">[</span>OPTIONS<span class="o">]</span><span class="w"> </span>COMMAND<span class="w"> </span><span class="o">[</span>ARGS<span class="o">]</span>...
+</pre></div>
+</div>
+<p class="rubric">Options</p>
+<dl class="std option">
+<dt class="sig sig-object std" id="cmdoption-sup3r-pipeline-cancel">
+<span class="sig-name descname"><span class="pre">--cancel</span></span><span class="sig-prename descclassname"></span><a class="headerlink" href="#cmdoption-sup3r-pipeline-cancel" title="Link to this definition">#</a></dt>
+<dd><p>Flag to cancel all jobs associated with a given pipeline.</p>
+</dd></dl>
+
+<dl class="std option">
+<dt class="sig sig-object std" id="cmdoption-sup3r-pipeline-monitor">
+<span class="sig-name descname"><span class="pre">--monitor</span></span><span class="sig-prename descclassname"></span><a class="headerlink" href="#cmdoption-sup3r-pipeline-monitor" title="Link to this definition">#</a></dt>
+<dd><p>Flag to monitor pipeline jobs continuously. Default is not to monitor (kick off jobs and exit).</p>
+</dd></dl>
+
+<dl class="std option">
+<dt class="sig sig-object std" id="cmdoption-sup3r-pipeline-background">
+<span class="sig-name descname"><span class="pre">--background</span></span><span class="sig-prename descclassname"></span><a class="headerlink" href="#cmdoption-sup3r-pipeline-background" title="Link to this definition">#</a></dt>
+<dd><p>Flag to monitor pipeline jobs continuously in the background using the nohup command. Note that the stdout/stderr will not be captured, but you can set a pipeline “log_file” to capture logs.</p>
+</dd></dl>
+
+<dl class="std option">
+<dt class="sig sig-object std" id="cmdoption-sup3r-pipeline-v">
+<span id="cmdoption-sup3r-pipeline-verbose"></span><span class="sig-name descname"><span class="pre">-v</span></span><span class="sig-prename descclassname"></span><span class="sig-prename descclassname"><span class="pre">,</span> </span><span class="sig-name descname"><span class="pre">--verbose</span></span><span class="sig-prename descclassname"></span><a class="headerlink" href="#cmdoption-sup3r-pipeline-v" title="Link to this definition">#</a></dt>
+<dd><p>Flag to turn on debug logging.</p>
+</dd></dl>
+
+</section>
+<section id="sup3r-qa">
+<h2>qa<a class="headerlink" href="#sup3r-qa" title="Link to this heading">#</a></h2>
+<p>Sup3r QA module following forward pass and collection.</p>
+<p>The sup3r QA module can be used to verify how well the high-resolution
+sup3r resolved outputs adhere to the low-resolution source data. You can
+call the QA module via the sup3r-pipeline CLI, or call it
+directly with either of these equivalent commands:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>$ sup3r -c config_qa.json qa
+
+$ sup3r-qa from-config -c config_qa.json
+</pre></div>
+</div>
+<p>A sup3r QA config.json file can contain any arguments or keyword
+arguments required to initialize the <a class="reference internal" href="../_autosummary/sup3r.qa.qa.Sup3rQa.html#sup3r.qa.qa.Sup3rQa" title="sup3r.qa.qa.Sup3rQa"><code class="xref py py-class docutils literal notranslate"><span class="pre">sup3r.qa.qa.Sup3rQa</span></code></a> class.
+The config also has several optional arguments: <code class="docutils literal notranslate"><span class="pre">log_file</span></code>,
+<code class="docutils literal notranslate"><span class="pre">log_level</span></code>, and <code class="docutils literal notranslate"><span class="pre">execution_control</span></code>. Here’s a small example
+QA config:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>
+{
+    &quot;source_file_paths&quot;: &quot;./source_files*.nc&quot;,
+    &quot;out_file_path&quot;: &quot;./outputs/collected_output_file.h5&quot;,
+    &quot;s_enhance&quot;: 25,
+    &quot;t_enhance&quot;: 24,
+    &quot;temporal_coarsening_method&quot;: &quot;average&quot;,
+    &quot;log_file&quot;: &quot;./logs/qa.log&quot;,
+    &quot;execution_control&quot;: {&quot;option&quot;: &quot;local&quot;},
+    &quot;log_level&quot;: &quot;DEBUG&quot;
+}
+</pre></div>
+</div>
+<p>Note that the <code class="docutils literal notranslate"><span class="pre">execution_control</span></code> has the same options as forward-pass
+and you can set <code class="docutils literal notranslate"><span class="pre">&quot;option&quot;:</span> <span class="pre">&quot;kestrel&quot;</span></code> to run on the NREL HPC.</p>
+<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>sup3r<span class="w"> </span>qa<span class="w"> </span><span class="o">[</span>OPTIONS<span class="o">]</span>
+</pre></div>
+</div>
+<p class="rubric">Options</p>
+<dl class="std option">
+<dt class="sig sig-object std" id="cmdoption-sup3r-qa-v">
+<span id="cmdoption-sup3r-qa-verbose"></span><span class="sig-name descname"><span class="pre">-v</span></span><span class="sig-prename descclassname"></span><span class="sig-prename descclassname"><span class="pre">,</span> </span><span class="sig-name descname"><span class="pre">--verbose</span></span><span class="sig-prename descclassname"></span><a class="headerlink" href="#cmdoption-sup3r-qa-v" title="Link to this definition">#</a></dt>
+<dd><p>Flag to turn on debug logging.</p>
+</dd></dl>
+
+</section>
+<section id="sup3r-solar">
+<h2>solar<a class="headerlink" href="#sup3r-solar" title="Link to this heading">#</a></h2>
+<p>Sup3r solar module to convert GAN output clearsky ratio to irradiance</p>
+<p>Typically we train solar GAN’s on clearsky ratio to remove the dependence
+on known variables like solar position and clearsky irradiance. This module
+converts the clearsky ratio output by the GAN in the forward-pass step to
+actual irradiance values (ghi, dni, and dhi). This should be run after the
+forward-pass but before the data-collect step.</p>
+<p>You can call the solar module via the sup3r-pipeline CLI, or call it
+directly with either of these equivalent commands:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>$ sup3r -c config_solar.json solar
+
+$ sup3r-solar from-config -c config_solar.json
+</pre></div>
+</div>
+<p>A sup3r solar config.json file can contain any arguments or keyword
+arguments required to call the
+<code class="xref py py-meth docutils literal notranslate"><span class="pre">sup3r.solar.solar.Solar.run_temporal_chunk()</span></code> method. You do not need
+to include the <code class="docutils literal notranslate"><span class="pre">i_t_chunk</span></code> input, this is added by the CLI. The config
+also has several optional arguments: <code class="docutils literal notranslate"><span class="pre">log_pattern</span></code>, <code class="docutils literal notranslate"><span class="pre">log_level</span></code>, and
+<code class="docutils literal notranslate"><span class="pre">execution_control</span></code>. Here’s a small example solar config:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>
+{
+    &quot;fp_pattern&quot;: &quot;./chunks/sup3r*.h5&quot;,
+    &quot;nsrdb_fp&quot;: &quot;/datasets/NSRDB/current/nsrdb_2015.h5&quot;,
+    &quot;max_nodes&quot;: 100,
+    &quot;execution_control&quot;: {
+        &quot;option&quot;: &quot;kestrel&quot;,
+        &quot;walltime&quot;: 4,
+        &quot;alloc&quot;: &quot;sup3r&quot;
+    }
+}
+</pre></div>
+</div>
+<p>Note that the <code class="docutils literal notranslate"><span class="pre">execution_control</span></code> block contains kwargs that would
+be required to distribute the job on multiple nodes on the NREL HPC.
+To run the job locally, use <code class="docutils literal notranslate"><span class="pre">execution_control:</span> <span class="pre">{&quot;option&quot;:</span> <span class="pre">&quot;local&quot;}</span></code>.</p>
+<div class="highlight-shell notranslate"><div class="highlight"><pre><span></span>sup3r<span class="w"> </span>solar<span class="w"> </span><span class="o">[</span>OPTIONS<span class="o">]</span>
+</pre></div>
+</div>
+<p class="rubric">Options</p>
+<dl class="std option">
+<dt class="sig sig-object std" id="cmdoption-sup3r-solar-v">
+<span id="cmdoption-sup3r-solar-verbose"></span><span class="sig-name descname"><span class="pre">-v</span></span><span class="sig-prename descclassname"></span><span class="sig-prename descclassname"><span class="pre">,</span> </span><span class="sig-name descname"><span class="pre">--verbose</span></span><span class="sig-prename descclassname"></span><a class="headerlink" href="#cmdoption-sup3r-solar-v" title="Link to this definition">#</a></dt>
+<dd><p>Flag to turn on debug logging.</p>
+</dd></dl>
+
+</section>
+</section>
+
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+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.preprocessing.utilities.get_class_kwargs.html">sup3r.preprocessing.utilities.get_class_kwargs</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.preprocessing.utilities.get_date_range_kwargs.html">sup3r.preprocessing.utilities.get_date_range_kwargs</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.preprocessing.utilities.get_input_handler_class.html">sup3r.preprocessing.utilities.get_input_handler_class</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.preprocessing.utilities.get_obj_params.html">sup3r.preprocessing.utilities.get_obj_params</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.preprocessing.utilities.get_source_type.html">sup3r.preprocessing.utilities.get_source_type</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.preprocessing.utilities.is_type_of.html">sup3r.preprocessing.utilities.is_type_of</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.preprocessing.utilities.log_args.html">sup3r.preprocessing.utilities.log_args</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.preprocessing.utilities.lower_names.html">sup3r.preprocessing.utilities.lower_names</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.preprocessing.utilities.lowered.html">sup3r.preprocessing.utilities.lowered</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.preprocessing.utilities.make_time_index_from_kws.html">sup3r.preprocessing.utilities.make_time_index_from_kws</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.preprocessing.utilities.numpy_if_tensor.html">sup3r.preprocessing.utilities.numpy_if_tensor</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.preprocessing.utilities.ordered_array.html">sup3r.preprocessing.utilities.ordered_array</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.preprocessing.utilities.ordered_dims.html">sup3r.preprocessing.utilities.ordered_dims</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.preprocessing.utilities.parse_ellipsis.html">sup3r.preprocessing.utilities.parse_ellipsis</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.preprocessing.utilities.parse_features.html">sup3r.preprocessing.utilities.parse_features</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.preprocessing.utilities.parse_keys.html">sup3r.preprocessing.utilities.parse_keys</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.preprocessing.utilities.parse_to_list.html">sup3r.preprocessing.utilities.parse_to_list</a></li>
+</ul>
+</details></li>
+</ul>
+</details></li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="../_autosummary/sup3r.qa.html">sup3r.qa</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../_autosummary/sup3r.qa.qa.html">sup3r.qa.qa</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.qa.qa.Sup3rQa.html">sup3r.qa.qa.Sup3rQa</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3"><a class="reference internal" href="../_autosummary/sup3r.qa.qa_cli.html">sup3r.qa.qa_cli</a></li>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../_autosummary/sup3r.qa.utilities.html">sup3r.qa.utilities</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.qa.utilities.continuous_dist.html">sup3r.qa.utilities.continuous_dist</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.qa.utilities.direct_dist.html">sup3r.qa.utilities.direct_dist</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.qa.utilities.frequency_spectrum.html">sup3r.qa.utilities.frequency_spectrum</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.qa.utilities.gradient_dist.html">sup3r.qa.utilities.gradient_dist</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.qa.utilities.time_derivative_dist.html">sup3r.qa.utilities.time_derivative_dist</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.qa.utilities.tke_frequency_spectrum.html">sup3r.qa.utilities.tke_frequency_spectrum</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.qa.utilities.tke_wavenumber_spectrum.html">sup3r.qa.utilities.tke_wavenumber_spectrum</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.qa.utilities.wavenumber_spectrum.html">sup3r.qa.utilities.wavenumber_spectrum</a></li>
+</ul>
+</details></li>
+</ul>
+</details></li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="../_autosummary/sup3r.solar.html">sup3r.solar</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../_autosummary/sup3r.solar.solar.html">sup3r.solar.solar</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.solar.solar.Solar.html">sup3r.solar.solar.Solar</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../_autosummary/sup3r.solar.solar_cli.html">sup3r.solar.solar_cli</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.solar.solar_cli.kickoff_local_job.html">sup3r.solar.solar_cli.kickoff_local_job</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.solar.solar_cli.kickoff_slurm_job.html">sup3r.solar.solar_cli.kickoff_slurm_job</a></li>
+</ul>
+</details></li>
+</ul>
+</details></li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="../_autosummary/sup3r.utilities.html">sup3r.utilities</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l3"><a class="reference internal" href="../_autosummary/sup3r.utilities.ModuleName.html">sup3r.utilities.ModuleName</a></li>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../_autosummary/sup3r.utilities.cli.html">sup3r.utilities.cli</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.cli.BaseCLI.html">sup3r.utilities.cli.BaseCLI</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.cli.SlurmManager.html">sup3r.utilities.cli.SlurmManager</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../_autosummary/sup3r.utilities.era_downloader.html">sup3r.utilities.era_downloader</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.era_downloader.EraDownloader.html">sup3r.utilities.era_downloader.EraDownloader</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../_autosummary/sup3r.utilities.interpolation.html">sup3r.utilities.interpolation</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.interpolation.Interpolator.html">sup3r.utilities.interpolation.Interpolator</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../_autosummary/sup3r.utilities.loss_metrics.html">sup3r.utilities.loss_metrics</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.loss_metrics.gaussian_kernel.html">sup3r.utilities.loss_metrics.gaussian_kernel</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.loss_metrics.CoarseMseLoss.html">sup3r.utilities.loss_metrics.CoarseMseLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.loss_metrics.ExpLoss.html">sup3r.utilities.loss_metrics.ExpLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.loss_metrics.LowResLoss.html">sup3r.utilities.loss_metrics.LowResLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.loss_metrics.MaterialDerivativeLoss.html">sup3r.utilities.loss_metrics.MaterialDerivativeLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.loss_metrics.MmdLoss.html">sup3r.utilities.loss_metrics.MmdLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.loss_metrics.MmdMseLoss.html">sup3r.utilities.loss_metrics.MmdMseLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.loss_metrics.MseExpLoss.html">sup3r.utilities.loss_metrics.MseExpLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesLoss.html">sup3r.utilities.loss_metrics.SpatialExtremesLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.html">sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.html">sup3r.utilities.loss_metrics.SpatialFftOnlyLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.html">sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.html">sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.loss_metrics.StExtremesFftLoss.html">sup3r.utilities.loss_metrics.StExtremesFftLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesLoss.html">sup3r.utilities.loss_metrics.TemporalExtremesLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.html">sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../_autosummary/sup3r.utilities.pytest.html">sup3r.utilities.pytest</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.pytest.helpers.html">sup3r.utilities.pytest.helpers</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../_autosummary/sup3r.utilities.utilities.html">sup3r.utilities.utilities</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.utilities.generate_random_string.html">sup3r.utilities.utilities.generate_random_string</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.utilities.nn_fill_array.html">sup3r.utilities.utilities.nn_fill_array</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.utilities.pd_date_range.html">sup3r.utilities.utilities.pd_date_range</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.utilities.preprocess_datasets.html">sup3r.utilities.utilities.preprocess_datasets</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.utilities.safe_cast.html">sup3r.utilities.utilities.safe_cast</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.utilities.safe_serialize.html">sup3r.utilities.utilities.safe_serialize</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.utilities.spatial_coarsening.html">sup3r.utilities.utilities.spatial_coarsening</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.utilities.temporal_coarsening.html">sup3r.utilities.utilities.temporal_coarsening</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.utilities.xr_open_mfdataset.html">sup3r.utilities.utilities.xr_open_mfdataset</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../_autosummary/sup3r.utilities.utilities.Timer.html">sup3r.utilities.utilities.Timer</a></li>
+</ul>
+</details></li>
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+</details></li>
+</ul>
+</details></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="../_cli/cli.html">CLI reference</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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+  <h1>All modules for which code is available</h1>
+<ul><li><a href="sup3r/bias/base.html">sup3r.bias.base</a></li>
+<li><a href="sup3r/bias/bias_calc.html">sup3r.bias.bias_calc</a></li>
+<li><a href="sup3r/bias/bias_calc_cli.html">sup3r.bias.bias_calc_cli</a></li>
+<li><a href="sup3r/bias/bias_calc_vortex.html">sup3r.bias.bias_calc_vortex</a></li>
+<li><a href="sup3r/bias/bias_transforms.html">sup3r.bias.bias_transforms</a></li>
+<li><a href="sup3r/bias/mixins.html">sup3r.bias.mixins</a></li>
+<li><a href="sup3r/bias/presrat.html">sup3r.bias.presrat</a></li>
+<li><a href="sup3r/bias/qdm.html">sup3r.bias.qdm</a></li>
+<li><a href="sup3r/bias/utilities.html">sup3r.bias.utilities</a></li>
+<li><a href="sup3r/models/abstract.html">sup3r.models.abstract</a></li>
+<li><a href="sup3r/models/base.html">sup3r.models.base</a></li>
+<li><a href="sup3r/models/conditional.html">sup3r.models.conditional</a></li>
+<li><a href="sup3r/models/dc.html">sup3r.models.dc</a></li>
+<li><a href="sup3r/models/linear.html">sup3r.models.linear</a></li>
+<li><a href="sup3r/models/multi_step.html">sup3r.models.multi_step</a></li>
+<li><a href="sup3r/models/solar_cc.html">sup3r.models.solar_cc</a></li>
+<li><a href="sup3r/models/surface.html">sup3r.models.surface</a></li>
+<li><a href="sup3r/models/utilities.html">sup3r.models.utilities</a></li>
+<li><a href="sup3r/pipeline/forward_pass.html">sup3r.pipeline.forward_pass</a></li>
+<li><a href="sup3r/pipeline/forward_pass_cli.html">sup3r.pipeline.forward_pass_cli</a></li>
+<li><a href="sup3r/pipeline/slicer.html">sup3r.pipeline.slicer</a></li>
+<li><a href="sup3r/pipeline/strategy.html">sup3r.pipeline.strategy</a></li>
+<li><a href="sup3r/pipeline/utilities.html">sup3r.pipeline.utilities</a></li>
+<li><a href="sup3r/postprocessing/collectors/base.html">sup3r.postprocessing.collectors.base</a></li>
+<li><a href="sup3r/postprocessing/collectors/h5.html">sup3r.postprocessing.collectors.h5</a></li>
+<li><a href="sup3r/postprocessing/collectors/nc.html">sup3r.postprocessing.collectors.nc</a></li>
+<li><a href="sup3r/postprocessing/data_collect_cli.html">sup3r.postprocessing.data_collect_cli</a></li>
+<li><a href="sup3r/postprocessing/writers/base.html">sup3r.postprocessing.writers.base</a></li>
+<li><a href="sup3r/postprocessing/writers/h5.html">sup3r.postprocessing.writers.h5</a></li>
+<li><a href="sup3r/postprocessing/writers/nc.html">sup3r.postprocessing.writers.nc</a></li>
+<li><a href="sup3r/preprocessing/accessor.html">sup3r.preprocessing.accessor</a></li>
+<li><a href="sup3r/preprocessing/base.html">sup3r.preprocessing.base</a></li>
+<li><a href="sup3r/preprocessing/batch_handlers/dc.html">sup3r.preprocessing.batch_handlers.dc</a></li>
+<li><a href="sup3r/preprocessing/batch_handlers/factory.html">sup3r.preprocessing.batch_handlers.factory</a></li>
+<li><a href="sup3r/preprocessing/batch_queues/abstract.html">sup3r.preprocessing.batch_queues.abstract</a></li>
+<li><a href="sup3r/preprocessing/batch_queues/base.html">sup3r.preprocessing.batch_queues.base</a></li>
+<li><a href="sup3r/preprocessing/batch_queues/conditional.html">sup3r.preprocessing.batch_queues.conditional</a></li>
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+  <h1>Source code for sup3r.bias.base</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Data retrieval class for performing / evaluating bias correction.</span>
+
+<span class="sd">TODO: This can likely leverage the new data handling objects. Refactor</span>
+<span class="sd">accordingly.</span>
+<span class="sd">&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">from</span> <span class="nn">abc</span> <span class="kn">import</span> <span class="n">abstractmethod</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">rex</span>
+<span class="kn">from</span> <span class="nn">rex.utilities.fun_utils</span> <span class="kn">import</span> <span class="n">get_fun_call_str</span>
+<span class="kn">from</span> <span class="nn">scipy</span> <span class="kn">import</span> <span class="n">stats</span>
+<span class="kn">from</span> <span class="nn">scipy.spatial</span> <span class="kn">import</span> <span class="n">KDTree</span>
+
+<span class="kn">import</span> <span class="nn">sup3r.preprocessing</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing</span> <span class="kn">import</span> <span class="n">DataHandler</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="n">expand_paths</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities</span> <span class="kn">import</span> <span class="n">VERSION_RECORD</span><span class="p">,</span> <span class="n">ModuleName</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.cli</span> <span class="kn">import</span> <span class="n">BaseCLI</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="DataRetrievalBase">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.base.DataRetrievalBase.html#sup3r.bias.base.DataRetrievalBase">[docs]</a>
+<span class="k">class</span> <span class="nc">DataRetrievalBase</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Base class to handle data retrieval for the biased data and the</span>
+<span class="sd">    baseline data</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">base_fps</span><span class="p">,</span>
+        <span class="n">bias_fps</span><span class="p">,</span>
+        <span class="n">base_dset</span><span class="p">,</span>
+        <span class="n">bias_feature</span><span class="p">,</span>
+        <span class="n">distance_upper_bound</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">target</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">shape</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">base_handler</span><span class="o">=</span><span class="s1">&#39;Resource&#39;</span><span class="p">,</span>
+        <span class="n">bias_handler</span><span class="o">=</span><span class="s1">&#39;DataHandlerNCforCC&#39;</span><span class="p">,</span>
+        <span class="n">base_handler_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">bias_handler_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">decimals</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">match_zero_rate</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+        <span class="n">pre_load</span><span class="o">=</span><span class="kc">True</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        base_fps : list | str</span>
+<span class="sd">            One or more baseline .h5 filepaths representing non-biased data to</span>
+<span class="sd">            use to correct the biased dataset. This is typically several years</span>
+<span class="sd">            of WTK or NSRDB files.</span>
+<span class="sd">        bias_fps : list | str</span>
+<span class="sd">            One or more biased .nc or .h5 filepaths representing the biased</span>
+<span class="sd">            data to be corrected based on the baseline data. This is typically</span>
+<span class="sd">            several years of GCM .nc files.</span>
+<span class="sd">        base_dset : str</span>
+<span class="sd">            A single dataset from the base_fps to retrieve. In the case of wind</span>
+<span class="sd">            components, this can be u_100m or v_100m which will retrieve</span>
+<span class="sd">            windspeed and winddirection and derive the U/V component.</span>
+<span class="sd">        bias_feature : str</span>
+<span class="sd">            This is the biased feature from bias_fps to retrieve. This should</span>
+<span class="sd">            be a single feature name corresponding to base_dset</span>
+<span class="sd">        distance_upper_bound : float</span>
+<span class="sd">            Upper bound on the nearest neighbor distance in decimal degrees.</span>
+<span class="sd">            This should be the approximate resolution of the low-resolution</span>
+<span class="sd">            bias data. None (default) will calculate this based on the median</span>
+<span class="sd">            distance between points in bias_fps</span>
+<span class="sd">        target : tuple</span>
+<span class="sd">            (lat, lon) lower left corner of raster to retrieve from bias_fps.</span>
+<span class="sd">            If None then the lower left corner of the full domain will be used.</span>
+<span class="sd">        shape : tuple</span>
+<span class="sd">            (rows, cols) grid size to retrieve from bias_fps. If None then the</span>
+<span class="sd">            full domain shape will be used.</span>
+<span class="sd">        base_handler : str</span>
+<span class="sd">            Name of rex resource handler or sup3r.preprocessing class to be</span>
+<span class="sd">            retrieved from the rex/sup3r library. If a sup3r.preprocessing</span>
+<span class="sd">            class is used, all data will be loaded in this class&#39;</span>
+<span class="sd">            initialization and the subsequent bias calculation will be done in</span>
+<span class="sd">            serial</span>
+<span class="sd">        bias_handler : str</span>
+<span class="sd">            Name of the bias data handler class to be retrieved from the</span>
+<span class="sd">            sup3r.preprocessing library.</span>
+<span class="sd">        base_handler_kwargs : dict | None</span>
+<span class="sd">            Optional kwargs to send to the initialization of the base_handler</span>
+<span class="sd">            class</span>
+<span class="sd">        bias_handler_kwargs : dict | None</span>
+<span class="sd">            Optional kwargs to send to the initialization of the bias_handler</span>
+<span class="sd">            class</span>
+<span class="sd">        decimals : int | None</span>
+<span class="sd">            Option to round bias and base data to this number of decimals, this</span>
+<span class="sd">            gets passed to np.around(). If decimals is negative, it specifies</span>
+<span class="sd">            the number of positions to the left of the decimal point.</span>
+<span class="sd">        match_zero_rate : bool</span>
+<span class="sd">            Option to fix the frequency of zero values in the biased data. The</span>
+<span class="sd">            lowest percentile of values in the biased data will be set to zero</span>
+<span class="sd">            to match the percentile of zeros in the base data. If</span>
+<span class="sd">            SkillAssessment is being run and this is True, the distributions</span>
+<span class="sd">            will not be mean-centered. This helps resolve the issue where</span>
+<span class="sd">            global climate models produce too many days with small</span>
+<span class="sd">            precipitation totals e.g., the &quot;drizzle problem&quot; [Polade2014]_.</span>
+<span class="sd">        pre_load : bool</span>
+<span class="sd">            Flag to preload all data needed for bias correction. This is</span>
+<span class="sd">            currently recommended to improve performance with the new sup3r</span>
+<span class="sd">            data handler access patterns</span>
+
+<span class="sd">        References</span>
+<span class="sd">        ----------</span>
+<span class="sd">        .. [Polade2014] Polade, S. D., Pierce, D. W., Cayan, D. R., Gershunov,</span>
+<span class="sd">           A., &amp; Dettineer, M. D. (2014). The key role of dry days in changing</span>
+<span class="sd">           regional climate and precipitation regimes. Scientific reports,</span>
+<span class="sd">           4(1), 4364. https://doi.org/10.1038/srep04364</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;Initializing DataRetrievalBase for base dset &quot;</span><span class="si">{}</span><span class="s1">&quot; &#39;</span>
+            <span class="s1">&#39;correcting biased dataset(s): </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">base_dset</span><span class="p">,</span> <span class="n">bias_feature</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">base_fps</span> <span class="o">=</span> <span class="n">base_fps</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">bias_fps</span> <span class="o">=</span> <span class="n">bias_fps</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">base_dset</span> <span class="o">=</span> <span class="n">base_dset</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span> <span class="o">=</span> <span class="n">bias_feature</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">target</span> <span class="o">=</span> <span class="n">target</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">shape</span> <span class="o">=</span> <span class="n">shape</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">decimals</span> <span class="o">=</span> <span class="n">decimals</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">base_handler_kwargs</span> <span class="o">=</span> <span class="n">base_handler_kwargs</span> <span class="ow">or</span> <span class="p">{}</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">bias_handler_kwargs</span> <span class="o">=</span> <span class="n">bias_handler_kwargs</span> <span class="ow">or</span> <span class="p">{}</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">bad_bias_gids</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">match_zero_rate</span> <span class="o">=</span> <span class="n">match_zero_rate</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">base_fps</span> <span class="o">=</span> <span class="n">expand_paths</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">base_fps</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">bias_fps</span> <span class="o">=</span> <span class="n">expand_paths</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_fps</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_distance_upper_bound</span> <span class="o">=</span> <span class="n">distance_upper_bound</span>
+
+        <span class="n">base_sup3r_handler</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">sup3r</span><span class="o">.</span><span class="n">preprocessing</span><span class="p">,</span> <span class="n">base_handler</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="n">base_rex_handler</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">rex</span><span class="p">,</span> <span class="n">base_handler</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">base_rex_handler</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">base_handler</span> <span class="o">=</span> <span class="n">base_rex_handler</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">base_dh</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">base_handler</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">base_fps</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="o">**</span><span class="bp">self</span><span class="o">.</span><span class="n">base_handler_kwargs</span>
+            <span class="p">)</span>
+        <span class="k">elif</span> <span class="n">base_sup3r_handler</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">base_handler</span> <span class="o">=</span> <span class="n">base_sup3r_handler</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">base_handler_kwargs</span><span class="p">[</span><span class="s1">&#39;features&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">base_dset</span><span class="p">]</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">base_dh</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">base_handler</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">base_fps</span><span class="p">,</span> <span class="o">**</span><span class="bp">self</span><span class="o">.</span><span class="n">base_handler_kwargs</span>
+            <span class="p">)</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Base data handler opened with a sup3r DataHandler class &#39;</span>
+                <span class="s1">&#39;must load cached data!&#39;</span>
+            <span class="p">)</span>
+            <span class="k">assert</span> <span class="bp">self</span><span class="o">.</span><span class="n">base_dh</span><span class="o">.</span><span class="n">data</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">,</span> <span class="n">msg</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;Could not retrieve &quot;</span><span class="si">{</span><span class="n">base_handler</span><span class="si">}</span><span class="s1">&quot; from sup3r or rex!&#39;</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">bias_handler</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">sup3r</span><span class="o">.</span><span class="n">preprocessing</span><span class="p">,</span> <span class="n">bias_handler</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">base_meta</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">base_dh</span><span class="o">.</span><span class="n">meta</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">bias_dh</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_handler</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">bias_fps</span><span class="p">,</span>
+            <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="p">],</span>
+            <span class="n">target</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">target</span><span class="p">,</span>
+            <span class="n">shape</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span>
+            <span class="o">**</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_handler_kwargs</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="n">lats</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_dh</span><span class="o">.</span><span class="n">lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">flatten</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">bias_meta</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_dh</span><span class="o">.</span><span class="n">meta</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">bias_ti</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_dh</span><span class="o">.</span><span class="n">time_index</span>
+
+        <span class="n">raster_shape</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_dh</span><span class="o">.</span><span class="n">lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span>
+        <span class="n">bias_lat_lon</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_meta</span><span class="p">[[</span><span class="s1">&#39;latitude&#39;</span><span class="p">,</span> <span class="s1">&#39;longitude&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">values</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">bias_tree</span> <span class="o">=</span> <span class="n">KDTree</span><span class="p">(</span><span class="n">bias_lat_lon</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">bias_gid_raster</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">lats</span><span class="o">.</span><span class="n">size</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">bias_gid_raster</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_gid_raster</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">raster_shape</span><span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">nn_dist</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">nn_ind</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_tree</span><span class="o">.</span><span class="n">query</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">base_meta</span><span class="p">[[</span><span class="s1">&#39;latitude&#39;</span><span class="p">,</span> <span class="s1">&#39;longitude&#39;</span><span class="p">]],</span>
+            <span class="n">distance_upper_bound</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">distance_upper_bound</span>
+        <span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">pre_load</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">pre_load</span><span class="p">()</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">out</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_init_out</span><span class="p">()</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Finished initializing DataRetrievalBase.&#39;</span><span class="p">)</span>
+
+<div class="viewcode-block" id="DataRetrievalBase.pre_load">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.base.DataRetrievalBase.html#sup3r.bias.base.DataRetrievalBase.pre_load">[docs]</a>
+    <span class="k">def</span> <span class="nf">pre_load</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Preload all data needed for bias correction. This is currently</span>
+<span class="sd">        recommended to improve performance with the new sup3r data handler</span>
+<span class="sd">        access patterns&quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">base_dh</span><span class="p">,</span> <span class="s1">&#39;compute&#39;</span><span class="p">):</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Pre loading baseline unbiased data into memory...&#39;</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">base_dh</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">compute</span><span class="p">()</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Finished pre loading baseline unbiased data.&#39;</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_dh</span><span class="p">,</span> <span class="s1">&#39;compute&#39;</span><span class="p">):</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Pre loading historical biased data into memory...&#39;</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">bias_dh</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">compute</span><span class="p">()</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Finished pre loading historical biased data.&#39;</span><span class="p">)</span></div>
+
+
+    <span class="nd">@abstractmethod</span>
+    <span class="k">def</span> <span class="nf">_init_out</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize output arrays&quot;&quot;&quot;</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">meta</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a meta data dictionary on how these bias factors were</span>
+<span class="sd">        calculated&quot;&quot;&quot;</span>
+        <span class="n">meta</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="s1">&#39;base_fps&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">base_fps</span><span class="p">,</span>
+            <span class="s1">&#39;bias_fps&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_fps</span><span class="p">,</span>
+            <span class="s1">&#39;base_dset&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">base_dset</span><span class="p">,</span>
+            <span class="s1">&#39;bias_feature&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="p">,</span>
+            <span class="s1">&#39;target&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">target</span><span class="p">,</span>
+            <span class="s1">&#39;shape&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span>
+            <span class="s1">&#39;class&#39;</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="p">),</span>
+            <span class="s1">&#39;version_record&#39;</span><span class="p">:</span> <span class="n">VERSION_RECORD</span><span class="p">,</span>
+        <span class="p">}</span>
+        <span class="k">return</span> <span class="n">meta</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">distance_upper_bound</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Maximum distance (float) to map high-resolution data from exo_source</span>
+<span class="sd">        to the low-resolution file_paths input.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_distance_upper_bound</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">diff</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">diff</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">bias_meta</span><span class="p">[[</span><span class="s1">&#39;latitude&#39;</span><span class="p">,</span> <span class="s1">&#39;longitude&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">values</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span>
+            <span class="p">)</span>
+            <span class="n">diff</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">median</span><span class="p">(</span><span class="n">diff</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">))</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_distance_upper_bound</span> <span class="o">=</span> <span class="n">diff</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="s1">&#39;Set distance upper bound to </span><span class="si">{:.4f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">_distance_upper_bound</span>
+                <span class="p">)</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_distance_upper_bound</span>
+
+<div class="viewcode-block" id="DataRetrievalBase.compare_dists">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.base.DataRetrievalBase.html#sup3r.bias.base.DataRetrievalBase.compare_dists">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">compare_dists</span><span class="p">(</span><span class="n">base_data</span><span class="p">,</span> <span class="n">bias_data</span><span class="p">,</span> <span class="n">adder</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">scalar</span><span class="o">=</span><span class="mi">1</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Compare two distributions using the two-sample Kolmogorov-Smirnov.</span>
+<span class="sd">        When the output is minimized, the two distributions are similar.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        base_data : np.ndarray</span>
+<span class="sd">            1D array of base data observations.</span>
+<span class="sd">        bias_data : np.ndarray</span>
+<span class="sd">            1D array of biased data observations.</span>
+<span class="sd">        adder : float</span>
+<span class="sd">            Factor to adjust the biased data before comparing distributions:</span>
+<span class="sd">            bias_data * scalar + adder</span>
+<span class="sd">        scalar : float</span>
+<span class="sd">            Factor to adjust the biased data before comparing distributions:</span>
+<span class="sd">            bias_data * scalar + adder</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out : float</span>
+<span class="sd">            KS test statistic</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">ks_2samp</span><span class="p">(</span><span class="n">base_data</span><span class="p">,</span> <span class="n">bias_data</span> <span class="o">*</span> <span class="n">scalar</span> <span class="o">+</span> <span class="n">adder</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">out</span><span class="o">.</span><span class="n">statistic</span></div>
+
+
+<div class="viewcode-block" id="DataRetrievalBase.get_node_cmd">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.base.DataRetrievalBase.html#sup3r.bias.base.DataRetrievalBase.get_node_cmd">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">get_node_cmd</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">config</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a CLI call to call cls.run() on a single node based on an input</span>
+<span class="sd">        config.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        config : dict</span>
+<span class="sd">            sup3r bias calc config with all necessary args and kwargs to</span>
+<span class="sd">            initialize the class and call run() on a single node.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">import_str</span> <span class="o">=</span> <span class="s1">&#39;import time;</span><span class="se">\n</span><span class="s1">&#39;</span>
+        <span class="n">import_str</span> <span class="o">+=</span> <span class="s1">&#39;from gaps import Status;</span><span class="se">\n</span><span class="s1">&#39;</span>
+        <span class="n">import_str</span> <span class="o">+=</span> <span class="s1">&#39;from rex import init_logger;</span><span class="se">\n</span><span class="s1">&#39;</span>
+        <span class="n">import_str</span> <span class="o">+=</span> <span class="sa">f</span><span class="s1">&#39;from sup3r.bias import </span><span class="si">{</span><span class="bp">cls</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s1">&#39;</span>
+
+        <span class="k">if</span> <span class="ow">not</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="s1">&#39;run&#39;</span><span class="p">):</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;I can only get you a node command for subclasses of &#39;</span>
+                <span class="s1">&#39;DataRetrievalBase with a run() method.&#39;</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">NotImplementedError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="c1"># pylint: disable=E1101</span>
+        <span class="n">init_str</span> <span class="o">=</span> <span class="n">get_fun_call_str</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">config</span><span class="p">)</span>
+        <span class="n">fun_str</span> <span class="o">=</span> <span class="n">get_fun_call_str</span><span class="p">(</span><span class="bp">cls</span><span class="o">.</span><span class="n">run</span><span class="p">,</span> <span class="n">config</span><span class="p">)</span>
+        <span class="n">fun_str</span> <span class="o">=</span> <span class="n">fun_str</span><span class="o">.</span><span class="n">partition</span><span class="p">(</span><span class="s1">&#39;.&#39;</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+        <span class="n">fun_str</span> <span class="o">=</span> <span class="s1">&#39;bc.&#39;</span> <span class="o">+</span> <span class="n">fun_str</span>
+
+        <span class="n">log_file</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;log_file&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="n">log_level</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;log_level&#39;</span><span class="p">,</span> <span class="s1">&#39;INFO&#39;</span><span class="p">)</span>
+        <span class="n">log_arg_str</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;&quot;sup3r&quot;, log_level=&quot;</span><span class="si">{</span><span class="n">log_level</span><span class="si">}</span><span class="s1">&quot;&#39;</span>
+        <span class="k">if</span> <span class="n">log_file</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">log_arg_str</span> <span class="o">+=</span> <span class="sa">f</span><span class="s1">&#39;, log_file=&quot;</span><span class="si">{</span><span class="n">log_file</span><span class="si">}</span><span class="s1">&quot;&#39;</span>
+
+        <span class="n">cmd</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s2">&quot;python -c &#39;</span><span class="si">{</span><span class="n">import_str</span><span class="si">}</span><span class="s2">;</span><span class="se">\n</span><span class="s2">&quot;</span>
+            <span class="s1">&#39;t0 = time.time();</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;logger = init_logger(</span><span class="si">{</span><span class="n">log_arg_str</span><span class="si">}</span><span class="s1">);</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;bc = </span><span class="si">{</span><span class="n">init_str</span><span class="si">}</span><span class="s1">;</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">fun_str</span><span class="si">}</span><span class="s1">;</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="s1">&#39;t_elap = time.time() - t0;</span><span class="se">\n</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+
+        <span class="n">pipeline_step</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;pipeline_step&#39;</span><span class="p">)</span> <span class="ow">or</span> <span class="n">ModuleName</span><span class="o">.</span><span class="n">BIAS_CALC</span>
+        <span class="n">cmd</span> <span class="o">=</span> <span class="n">BaseCLI</span><span class="o">.</span><span class="n">add_status_cmd</span><span class="p">(</span><span class="n">config</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="p">,</span> <span class="n">cmd</span><span class="p">)</span>
+        <span class="n">cmd</span> <span class="o">+=</span> <span class="s2">&quot;;&#39;</span><span class="se">\n</span><span class="s2">&quot;</span>
+
+        <span class="k">return</span> <span class="n">cmd</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;</span><span class="se">\\</span><span class="s1">&#39;</span><span class="p">,</span> <span class="s1">&#39;/&#39;</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="DataRetrievalBase.get_bias_gid">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.base.DataRetrievalBase.html#sup3r.bias.base.DataRetrievalBase.get_bias_gid">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_bias_gid</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coord</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the bias gid from a coordinate.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        coord : tuple</span>
+<span class="sd">            (lat, lon) to get data for.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        bias_gid : int</span>
+<span class="sd">            gid of the data to retrieve in the bias data source raster data.</span>
+<span class="sd">            The gids for this data source are the enumerated indices of the</span>
+<span class="sd">            flattened coordinate array.</span>
+<span class="sd">        d : float</span>
+<span class="sd">            Distance in decimal degrees from coord to bias gid</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">d</span><span class="p">,</span> <span class="n">i</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_tree</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">coord</span><span class="p">)</span>
+        <span class="n">bias_gid</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_gid_raster</span><span class="o">.</span><span class="n">flatten</span><span class="p">()[</span><span class="n">i</span><span class="p">]</span>
+        <span class="k">return</span> <span class="n">bias_gid</span><span class="p">,</span> <span class="n">d</span></div>
+
+
+<div class="viewcode-block" id="DataRetrievalBase.get_base_gid">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.base.DataRetrievalBase.html#sup3r.bias.base.DataRetrievalBase.get_base_gid">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_base_gid</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">bias_gid</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get one or more base gid(s) corresponding to a bias gid.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        bias_gid : int</span>
+<span class="sd">            gid of the data to retrieve in the bias data source raster data.</span>
+<span class="sd">            The gids for this data source are the enumerated indices of the</span>
+<span class="sd">            flattened coordinate array.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        dist : np.ndarray</span>
+<span class="sd">            Array of nearest neighbor distances with length equal to the number</span>
+<span class="sd">            of high-resolution baseline gids that map to the low resolution</span>
+<span class="sd">            bias gid pixel.</span>
+<span class="sd">        base_gid : np.ndarray</span>
+<span class="sd">            Array of base gids that are the nearest neighbors of bias_gid with</span>
+<span class="sd">            length equal to the number of high-resolution baseline gids that</span>
+<span class="sd">            map to the low resolution bias gid pixel.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">base_gid</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">nn_ind</span> <span class="o">==</span> <span class="n">bias_gid</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+        <span class="n">dist</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">nn_dist</span><span class="p">[</span><span class="n">base_gid</span><span class="p">]</span>
+        <span class="k">return</span> <span class="n">dist</span><span class="p">,</span> <span class="n">base_gid</span></div>
+
+
+<div class="viewcode-block" id="DataRetrievalBase.get_data_pair">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.base.DataRetrievalBase.html#sup3r.bias.base.DataRetrievalBase.get_data_pair">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_data_pair</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">coord</span><span class="p">,</span> <span class="n">daily_reduction</span><span class="o">=</span><span class="s1">&#39;avg&#39;</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get base and bias data observations based on a single bias gid.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        coord : tuple</span>
+<span class="sd">            (lat, lon) to get data for.</span>
+<span class="sd">        daily_reduction : None | str</span>
+<span class="sd">            Option to do a reduction of the hourly+ source base data to daily</span>
+<span class="sd">            data. Can be None (no reduction, keep source time frequency), &quot;avg&quot;</span>
+<span class="sd">            (daily average), &quot;max&quot; (daily max), &quot;min&quot; (daily min),</span>
+<span class="sd">            &quot;sum&quot; (daily sum/total)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        base_data : np.ndarray</span>
+<span class="sd">            1D array of base data spatially averaged across the base_gid input</span>
+<span class="sd">            and possibly daily-averaged or min/max&#39;d as well.</span>
+<span class="sd">        bias_data : np.ndarray</span>
+<span class="sd">            1D array of temporal data at the requested gid.</span>
+<span class="sd">        base_dist : np.ndarray</span>
+<span class="sd">            Array of nearest neighbor distances from coord to the base data</span>
+<span class="sd">            sites with length equal to the number of high-resolution baseline</span>
+<span class="sd">            gids that map to the low resolution bias gid pixel.</span>
+<span class="sd">        bias_dist : Float</span>
+<span class="sd">            Nearest neighbor distance from coord to the bias data site</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">bias_gid</span><span class="p">,</span> <span class="n">bias_dist</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_bias_gid</span><span class="p">(</span><span class="n">coord</span><span class="p">)</span>
+        <span class="n">base_dist</span><span class="p">,</span> <span class="n">base_gid</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_base_gid</span><span class="p">(</span><span class="n">bias_gid</span><span class="p">)</span>
+        <span class="n">bias_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_bias_data</span><span class="p">(</span><span class="n">bias_gid</span><span class="p">)</span>
+        <span class="n">base_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_base_data</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">base_fps</span><span class="p">,</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">base_dset</span><span class="p">,</span>
+            <span class="n">base_gid</span><span class="p">,</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">base_handler</span><span class="p">,</span>
+            <span class="n">daily_reduction</span><span class="o">=</span><span class="n">daily_reduction</span><span class="p">,</span>
+            <span class="n">decimals</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">decimals</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="n">base_data</span> <span class="o">=</span> <span class="n">base_data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+        <span class="k">return</span> <span class="n">base_data</span><span class="p">,</span> <span class="n">bias_data</span><span class="p">,</span> <span class="n">base_dist</span><span class="p">,</span> <span class="n">bias_dist</span></div>
+
+
+<div class="viewcode-block" id="DataRetrievalBase.get_bias_data">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.base.DataRetrievalBase.html#sup3r.bias.base.DataRetrievalBase.get_bias_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_bias_data</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">bias_gid</span><span class="p">,</span> <span class="n">bias_dh</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get data from the biased data source for a single gid</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        bias_gid : int</span>
+<span class="sd">            gid of the data to retrieve in the bias data source raster data.</span>
+<span class="sd">            The gids for this data source are the enumerated indices of the</span>
+<span class="sd">            flattened coordinate array.</span>
+<span class="sd">        bias_dh : DataHandler, default=self.bias_dh</span>
+<span class="sd">            Any ``DataHandler`` from :mod:`sup3r.preprocessing`. This optional</span>
+<span class="sd">            argument allows an alternative handler other than the usual</span>
+<span class="sd">            :attr:`bias_dh`. For instance, the derived</span>
+<span class="sd">            :class:`~qdm.QuantileDeltaMappingCorrection` uses it to access the</span>
+<span class="sd">            reference biased dataset as well as the target biased dataset.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        bias_data : np.ndarray</span>
+<span class="sd">            1D array of temporal data at the requested gid.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">row</span><span class="p">,</span> <span class="n">col</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_gid_raster</span> <span class="o">==</span> <span class="n">bias_gid</span><span class="p">)</span>
+
+        <span class="c1"># This can be confusing. If the given argument `bias_dh` is None,</span>
+        <span class="c1"># the default value for dh is `self.bias_dh`.</span>
+        <span class="n">dh</span> <span class="o">=</span> <span class="n">bias_dh</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_dh</span>
+        <span class="n">bias_data</span> <span class="o">=</span> <span class="n">dh</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="p">][</span><span class="n">row</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">col</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="o">...</span><span class="p">]</span>
+
+        <span class="k">if</span> <span class="n">bias_data</span><span class="o">.</span><span class="n">ndim</span> <span class="o">!=</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Found a weird number of feature channels for the bias &#39;</span>
+                <span class="s1">&#39;data retrieval: </span><span class="si">{}</span><span class="s1">. Need just one channel&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="n">bias_data</span><span class="o">.</span><span class="n">shape</span>
+                <span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">decimals</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">bias_data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">around</span><span class="p">(</span><span class="n">bias_data</span><span class="p">,</span> <span class="n">decimals</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">decimals</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">bias_data</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="DataRetrievalBase.get_base_data">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.base.DataRetrievalBase.html#sup3r.bias.base.DataRetrievalBase.get_base_data">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">get_base_data</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">base_fps</span><span class="p">,</span>
+        <span class="n">base_dset</span><span class="p">,</span>
+        <span class="n">base_gid</span><span class="p">,</span>
+        <span class="n">base_handler</span><span class="p">,</span>
+        <span class="n">base_handler_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">daily_reduction</span><span class="o">=</span><span class="s1">&#39;avg&#39;</span><span class="p">,</span>
+        <span class="n">decimals</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">base_dh_inst</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get data from the baseline data source, possibly for many high-res</span>
+<span class="sd">        base gids corresponding to a single coarse low-res bias gid.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        base_fps : list | str</span>
+<span class="sd">            One or more baseline .h5 filepaths representing non-biased data to</span>
+<span class="sd">            use to correct the biased dataset. This is typically several years</span>
+<span class="sd">            of WTK or NSRDB files.</span>
+<span class="sd">        base_dset : str</span>
+<span class="sd">            A single dataset from the base_fps to retrieve.</span>
+<span class="sd">        base_gid : int | np.ndarray</span>
+<span class="sd">            One or more spatial gids to retrieve from base_fps. The data will</span>
+<span class="sd">            be spatially averaged across all of these sites.</span>
+<span class="sd">        base_handler : rex.Resource</span>
+<span class="sd">            A rex data handler similar to rex.Resource or sup3r.DataHandler</span>
+<span class="sd">            classes (if using the latter, must also input base_dh_inst)</span>
+<span class="sd">        base_handler_kwargs : dict | None</span>
+<span class="sd">            Optional kwargs to send to the initialization of the base_handler</span>
+<span class="sd">            class</span>
+<span class="sd">        daily_reduction : None | str</span>
+<span class="sd">            Option to do a reduction of the hourly+ source base data to daily</span>
+<span class="sd">            data. Can be None (no reduction, keep source time frequency), &quot;avg&quot;</span>
+<span class="sd">            (daily average), &quot;max&quot; (daily max), &quot;min&quot; (daily min),</span>
+<span class="sd">            &quot;sum&quot; (daily sum/total)</span>
+<span class="sd">        decimals : int | None</span>
+<span class="sd">            Option to round bias and base data to this number of</span>
+<span class="sd">            decimals, this gets passed to np.around(). If decimals</span>
+<span class="sd">            is negative, it specifies the number of positions to</span>
+<span class="sd">            the left of the decimal point.</span>
+<span class="sd">        base_dh_inst : sup3r.DataHandler</span>
+<span class="sd">            Instantiated  DataHandler class that has already loaded the base</span>
+<span class="sd">            data (required if base files are .nc and are not being opened by a</span>
+<span class="sd">            rex Resource handler).</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out_data : np.ndarray</span>
+<span class="sd">            1D array of base data spatially averaged across the base_gid input</span>
+<span class="sd">            and possibly daily-averaged or min/max&#39;d as well.</span>
+<span class="sd">        out_ti : pd.DatetimeIndex</span>
+<span class="sd">            DatetimeIndex object of datetimes corresponding to the</span>
+<span class="sd">            output data.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">out_data</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">out_ti</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">all_cs_ghi</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">base_handler_kwargs</span> <span class="o">=</span> <span class="n">base_handler_kwargs</span> <span class="ow">or</span> <span class="p">{}</span>
+
+        <span class="k">if</span> <span class="nb">issubclass</span><span class="p">(</span><span class="n">base_handler</span><span class="p">,</span> <span class="n">DataHandler</span><span class="p">)</span> <span class="ow">and</span> <span class="n">base_dh_inst</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;The method `get_base_data()` is only to be used with &#39;</span>
+                <span class="s1">&#39;`base_handler` as a `sup3r.DataHandler` subclass if &#39;</span>
+                <span class="s1">&#39;`base_dh_inst` is also provided!&#39;</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="nb">issubclass</span><span class="p">(</span><span class="n">base_handler</span><span class="p">,</span> <span class="n">DataHandler</span><span class="p">)</span> <span class="ow">and</span> <span class="n">base_dh_inst</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">out_ti</span> <span class="o">=</span> <span class="n">base_dh_inst</span><span class="o">.</span><span class="n">time_index</span>
+            <span class="n">out_data</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">_read_base_sup3r_data</span><span class="p">(</span>
+                <span class="n">base_dh_inst</span><span class="p">,</span> <span class="n">base_dset</span><span class="p">,</span> <span class="n">base_gid</span>
+            <span class="p">)</span>
+            <span class="n">all_cs_ghi</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">out_data</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="k">for</span> <span class="n">fp</span> <span class="ow">in</span> <span class="n">base_fps</span><span class="p">:</span>
+                <span class="k">with</span> <span class="n">base_handler</span><span class="p">(</span><span class="n">fp</span><span class="p">,</span> <span class="o">**</span><span class="n">base_handler_kwargs</span><span class="p">)</span> <span class="k">as</span> <span class="n">res</span><span class="p">:</span>
+                    <span class="n">base_ti</span> <span class="o">=</span> <span class="n">res</span><span class="o">.</span><span class="n">time_index</span>
+                    <span class="n">temp_out</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">_read_base_rex_data</span><span class="p">(</span>
+                        <span class="n">res</span><span class="p">,</span> <span class="n">base_dset</span><span class="p">,</span> <span class="n">base_gid</span>
+                    <span class="p">)</span>
+                    <span class="n">base_data</span><span class="p">,</span> <span class="n">base_cs_ghi</span> <span class="o">=</span> <span class="n">temp_out</span>
+
+                <span class="n">out_data</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">base_data</span><span class="p">)</span>
+                <span class="n">out_ti</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">base_ti</span><span class="p">)</span>
+                <span class="n">all_cs_ghi</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">base_cs_ghi</span><span class="p">)</span>
+
+            <span class="n">out_data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">hstack</span><span class="p">(</span><span class="n">out_data</span><span class="p">)</span>
+            <span class="n">out_ti</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DatetimeIndex</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">hstack</span><span class="p">(</span><span class="n">out_ti</span><span class="p">))</span>
+            <span class="n">all_cs_ghi</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">hstack</span><span class="p">(</span><span class="n">all_cs_ghi</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">daily_reduction</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">out_data</span><span class="p">,</span> <span class="n">out_ti</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">_reduce_base_data</span><span class="p">(</span>
+                <span class="n">out_ti</span><span class="p">,</span> <span class="n">out_data</span><span class="p">,</span> <span class="n">all_cs_ghi</span><span class="p">,</span> <span class="n">base_dset</span><span class="p">,</span> <span class="n">daily_reduction</span>
+            <span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">decimals</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">out_data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">around</span><span class="p">(</span><span class="n">out_data</span><span class="p">,</span> <span class="n">decimals</span><span class="o">=</span><span class="n">decimals</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">out_data</span><span class="p">),</span> <span class="n">out_ti</span></div>
+
+
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">_match_zero_rate</span><span class="p">(</span><span class="n">bias_data</span><span class="p">,</span> <span class="n">base_data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;The lowest percentile of values in the biased data will be set to</span>
+<span class="sd">        zero to match the percentile of zeros in the base data. This helps</span>
+<span class="sd">        resolve the issue where global climate models produce too many days</span>
+<span class="sd">        with small precipitation totals e.g., the &quot;drizzle problem&quot;.</span>
+<span class="sd">        Ref: Polade et al., 2014 https://doi.org/10.1038/srep04364</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        bias_data : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            1D array of biased data observations.</span>
+<span class="sd">        base_data : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            1D array of base data observations.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        bias_data : np.ndarray</span>
+<span class="sd">            1D array of biased data observations. Values below the quantile</span>
+<span class="sd">            associated with zeros in base_data will be set to zero</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">q_zero_base_in</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">base_data</span> <span class="o">==</span> <span class="mi">0</span><span class="p">)</span>
+        <span class="n">q_zero_bias_in</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">bias_data</span> <span class="o">==</span> <span class="mi">0</span><span class="p">)</span>
+
+        <span class="n">q_bias</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">bias_data</span><span class="p">))</span>
+        <span class="n">min_value_bias</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">interp</span><span class="p">(</span><span class="n">q_zero_base_in</span><span class="p">,</span> <span class="n">q_bias</span><span class="p">,</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">bias_data</span><span class="p">))</span>
+
+        <span class="n">bias_data</span><span class="p">[</span><span class="n">bias_data</span> <span class="o">&lt;</span> <span class="n">min_value_bias</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+
+        <span class="n">q_zero_base_out</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">base_data</span> <span class="o">==</span> <span class="mi">0</span><span class="p">)</span>
+        <span class="n">q_zero_bias_out</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">bias_data</span> <span class="o">==</span> <span class="mi">0</span><span class="p">)</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+            <span class="s1">&#39;Input bias/base zero rate is </span><span class="si">{:.3e}</span><span class="s1">/</span><span class="si">{:.3e}</span><span class="s1">, &#39;</span>
+            <span class="s1">&#39;output is </span><span class="si">{:.3e}</span><span class="s1">/</span><span class="si">{:.3e}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">q_zero_bias_in</span><span class="p">,</span>
+                <span class="n">q_zero_base_in</span><span class="p">,</span>
+                <span class="n">q_zero_bias_out</span><span class="p">,</span>
+                <span class="n">q_zero_base_out</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">bias_data</span>
+
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">_read_base_sup3r_data</span><span class="p">(</span><span class="n">dh</span><span class="p">,</span> <span class="n">base_dset</span><span class="p">,</span> <span class="n">base_gid</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Read baseline data from a sup3r DataHandler</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        dh : sup3r.DataHandler</span>
+<span class="sd">            sup3r DataHandler that is an open file handler of the base file(s)</span>
+<span class="sd">        base_dset : str</span>
+<span class="sd">            A single dataset from the base_fps to retrieve.</span>
+<span class="sd">        base_gid : int | np.ndarray</span>
+<span class="sd">            One or more spatial gids to retrieve from base_fps. The data will</span>
+<span class="sd">            be spatially averaged across all of these sites.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        base_data : np.ndarray</span>
+<span class="sd">            1D array of base data spatially averaged across the base_gid input</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">gid_raster</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">dh</span><span class="o">.</span><span class="n">meta</span><span class="p">))</span>
+        <span class="n">gid_raster</span> <span class="o">=</span> <span class="n">gid_raster</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">dh</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="mi">2</span><span class="p">])</span>
+        <span class="n">idy</span><span class="p">,</span> <span class="n">idx</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">isin</span><span class="p">(</span><span class="n">gid_raster</span><span class="p">,</span> <span class="n">base_gid</span><span class="p">))</span>
+        <span class="k">if</span> <span class="n">dh</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">loaded</span><span class="p">:</span>
+            <span class="c1"># faster direct access of numpy array if loaded</span>
+            <span class="n">base_data</span> <span class="o">=</span> <span class="n">dh</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">base_dset</span><span class="p">]</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">idy</span><span class="p">,</span> <span class="n">idx</span><span class="p">]</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">base_data</span> <span class="o">=</span> <span class="n">dh</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">base_dset</span><span class="p">]</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">vindex</span><span class="p">[</span><span class="n">idy</span><span class="p">,</span> <span class="n">idx</span><span class="p">]</span>
+
+        <span class="k">assert</span> <span class="n">base_data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">==</span> <span class="nb">len</span><span class="p">(</span><span class="n">base_gid</span><span class="p">)</span>
+        <span class="k">assert</span> <span class="n">base_data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="nb">len</span><span class="p">(</span><span class="n">dh</span><span class="o">.</span><span class="n">time_index</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">base_data</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">_read_base_rex_data</span><span class="p">(</span><span class="n">res</span><span class="p">,</span> <span class="n">base_dset</span><span class="p">,</span> <span class="n">base_gid</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Read baseline data from a rex resource handler with extra logic for</span>
+<span class="sd">        special datasets (e.g. u/v wind components or clearsky_ratio)</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        res : rex.Resource</span>
+<span class="sd">            rex Resource handler that is an open file handler of the base</span>
+<span class="sd">            file(s)</span>
+<span class="sd">        base_dset : str</span>
+<span class="sd">            A single dataset from the base_fps to retrieve.</span>
+<span class="sd">        base_gid : int | np.ndarray</span>
+<span class="sd">            One or more spatial gids to retrieve from base_fps. The data will</span>
+<span class="sd">            be spatially averaged across all of these sites.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        base_data : np.ndarray</span>
+<span class="sd">            1D array of base data spatially averaged across the base_gid input</span>
+<span class="sd">        base_cs_ghi : np.ndarray</span>
+<span class="sd">            If base_dset == &quot;clearsky_ratio&quot;, the base_data array is GHI and</span>
+<span class="sd">            this base_cs_ghi is clearsky GHI. Otherwise this is an array with</span>
+<span class="sd">            same length as base_data but full of np.nan</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;`res` input must not be a `DataHandler` subclass!&#39;</span>
+        <span class="k">assert</span> <span class="ow">not</span> <span class="nb">issubclass</span><span class="p">(</span><span class="n">res</span><span class="o">.</span><span class="vm">__class__</span><span class="p">,</span> <span class="n">DataHandler</span><span class="p">),</span> <span class="n">msg</span>
+
+        <span class="n">base_cs_ghi</span> <span class="o">=</span> <span class="kc">None</span>
+
+        <span class="k">if</span> <span class="n">base_dset</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s1">&#39;u_&#39;</span><span class="p">,</span> <span class="s1">&#39;v_&#39;</span><span class="p">)):</span>
+            <span class="n">dset_ws</span> <span class="o">=</span> <span class="n">base_dset</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;u_&#39;</span><span class="p">,</span> <span class="s1">&#39;windspeed_&#39;</span><span class="p">)</span>
+            <span class="n">dset_ws</span> <span class="o">=</span> <span class="n">dset_ws</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;v_&#39;</span><span class="p">,</span> <span class="s1">&#39;windspeed_&#39;</span><span class="p">)</span>
+            <span class="n">dset_wd</span> <span class="o">=</span> <span class="n">dset_ws</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;speed&#39;</span><span class="p">,</span> <span class="s1">&#39;direction&#39;</span><span class="p">)</span>
+            <span class="n">base_ws</span> <span class="o">=</span> <span class="n">res</span><span class="p">[</span><span class="n">dset_ws</span><span class="p">,</span> <span class="p">:,</span> <span class="n">base_gid</span><span class="p">]</span>
+            <span class="n">base_wd</span> <span class="o">=</span> <span class="n">res</span><span class="p">[</span><span class="n">dset_wd</span><span class="p">,</span> <span class="p">:,</span> <span class="n">base_gid</span><span class="p">]</span>
+
+            <span class="k">if</span> <span class="n">base_dset</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s1">&#39;u_&#39;</span><span class="p">):</span>
+                <span class="n">base_data</span> <span class="o">=</span> <span class="o">-</span><span class="n">base_ws</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">radians</span><span class="p">(</span><span class="n">base_wd</span><span class="p">))</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">base_data</span> <span class="o">=</span> <span class="o">-</span><span class="n">base_ws</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">radians</span><span class="p">(</span><span class="n">base_wd</span><span class="p">))</span>
+
+        <span class="k">elif</span> <span class="n">base_dset</span> <span class="o">==</span> <span class="s1">&#39;clearsky_ratio&#39;</span><span class="p">:</span>
+            <span class="n">base_data</span> <span class="o">=</span> <span class="n">res</span><span class="p">[</span><span class="s1">&#39;ghi&#39;</span><span class="p">,</span> <span class="p">:,</span> <span class="n">base_gid</span><span class="p">]</span>
+            <span class="n">base_cs_ghi</span> <span class="o">=</span> <span class="n">res</span><span class="p">[</span><span class="s1">&#39;clearsky_ghi&#39;</span><span class="p">,</span> <span class="p">:,</span> <span class="n">base_gid</span><span class="p">]</span>
+
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">base_data</span> <span class="o">=</span> <span class="n">res</span><span class="p">[</span><span class="n">base_dset</span><span class="p">,</span> <span class="p">:,</span> <span class="n">base_gid</span><span class="p">]</span>
+
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">base_data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">:</span>
+            <span class="n">base_data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">base_data</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+            <span class="k">if</span> <span class="n">base_cs_ghi</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+                <span class="n">base_cs_ghi</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">base_cs_ghi</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">base_cs_ghi</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">base_cs_ghi</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">base_data</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span>
+
+        <span class="k">return</span> <span class="n">base_data</span><span class="p">,</span> <span class="n">base_cs_ghi</span>
+
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">_reduce_base_data</span><span class="p">(</span>
+        <span class="n">base_ti</span><span class="p">,</span> <span class="n">base_data</span><span class="p">,</span> <span class="n">base_cs_ghi</span><span class="p">,</span> <span class="n">base_dset</span><span class="p">,</span> <span class="n">daily_reduction</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Reduce the base timeseries data using some sort of daily reduction</span>
+<span class="sd">        function.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        base_ti : pd.DatetimeIndex</span>
+<span class="sd">            Time index associated with base_data</span>
+<span class="sd">        base_data : np.ndarray</span>
+<span class="sd">            1D array of base data spatially averaged across the base_gid input</span>
+<span class="sd">        base_cs_ghi : np.ndarray</span>
+<span class="sd">            If base_dset == &quot;clearsky_ratio&quot;, the base_data array is GHI and</span>
+<span class="sd">            this base_cs_ghi is clearsky GHI. Otherwise this is an array with</span>
+<span class="sd">            same length as base_data but full of np.nan</span>
+<span class="sd">        base_dset : str</span>
+<span class="sd">            A single dataset from the base_fps to retrieve.</span>
+<span class="sd">        daily_reduction : str</span>
+<span class="sd">            Option to do a reduction of the hourly+ source base data to daily</span>
+<span class="sd">            data. Can be None (no reduction, keep source time frequency), &quot;avg&quot;</span>
+<span class="sd">            (daily average), &quot;max&quot; (daily max), &quot;min&quot; (daily min),</span>
+<span class="sd">            &quot;sum&quot; (daily sum/total)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        base_data : np.ndarray</span>
+<span class="sd">            1D array of base data spatially averaged across the base_gid input</span>
+<span class="sd">            and possibly daily-averaged or min/max&#39;d as well.</span>
+<span class="sd">        daily_ti : pd.DatetimeIndex</span>
+<span class="sd">            Daily DatetimeIndex corresponding to the daily base_data</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="n">daily_reduction</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">base_data</span>
+
+        <span class="n">daily_ti</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DatetimeIndex</span><span class="p">(</span><span class="nb">sorted</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">base_ti</span><span class="o">.</span><span class="n">date</span><span class="p">)))</span>
+        <span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span>
+            <span class="p">{</span>
+                <span class="s1">&#39;date&#39;</span><span class="p">:</span> <span class="n">base_ti</span><span class="o">.</span><span class="n">date</span><span class="p">,</span>
+                <span class="s1">&#39;base_data&#39;</span><span class="p">:</span> <span class="n">base_data</span><span class="p">,</span>
+                <span class="s1">&#39;base_cs_ghi&#39;</span><span class="p">:</span> <span class="n">base_cs_ghi</span><span class="p">,</span>
+            <span class="p">}</span>
+        <span class="p">)</span>
+
+        <span class="n">cs_ratio</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">daily_reduction</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">in</span> <span class="p">(</span><span class="s1">&#39;avg&#39;</span><span class="p">,</span> <span class="s1">&#39;average&#39;</span><span class="p">,</span> <span class="s1">&#39;mean&#39;</span><span class="p">)</span>
+            <span class="ow">and</span> <span class="n">base_dset</span> <span class="o">==</span> <span class="s1">&#39;clearsky_ratio&#39;</span>
+        <span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">cs_ratio</span><span class="p">:</span>
+            <span class="n">daily_ghi</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;date&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()[</span><span class="s1">&#39;base_data&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
+            <span class="n">daily_cs_ghi</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;date&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()[</span><span class="s1">&#39;base_cs_ghi&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
+            <span class="n">daily_ghi</span><span class="p">[</span><span class="n">daily_cs_ghi</span> <span class="o">==</span> <span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+            <span class="n">daily_cs_ghi</span><span class="p">[</span><span class="n">daily_cs_ghi</span> <span class="o">==</span> <span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span>
+            <span class="n">base_data</span> <span class="o">=</span> <span class="n">daily_ghi</span> <span class="o">/</span> <span class="n">daily_cs_ghi</span>
+            <span class="n">mask</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">base_data</span><span class="p">)</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Could not calculate daily average &quot;clearsky_ratio&quot; with &#39;</span>
+                <span class="s1">&#39;input ghi and cs ghi inputs: </span><span class="se">\n</span><span class="si">{}</span><span class="s1">, </span><span class="se">\n</span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="n">daily_ghi</span><span class="p">[</span><span class="n">mask</span><span class="p">],</span> <span class="n">daily_cs_ghi</span><span class="p">[</span><span class="n">mask</span><span class="p">]</span>
+                <span class="p">)</span>
+            <span class="p">)</span>
+            <span class="k">assert</span> <span class="ow">not</span> <span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">base_data</span><span class="p">)</span><span class="o">.</span><span class="n">any</span><span class="p">(),</span> <span class="n">msg</span>
+
+        <span class="k">elif</span> <span class="n">daily_reduction</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">in</span> <span class="p">(</span><span class="s1">&#39;avg&#39;</span><span class="p">,</span> <span class="s1">&#39;average&#39;</span><span class="p">,</span> <span class="s1">&#39;mean&#39;</span><span class="p">):</span>
+            <span class="n">base_data</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;date&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()[</span><span class="s1">&#39;base_data&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
+
+        <span class="k">elif</span> <span class="n">daily_reduction</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">in</span> <span class="p">(</span><span class="s1">&#39;max&#39;</span><span class="p">,</span> <span class="s1">&#39;maximum&#39;</span><span class="p">):</span>
+            <span class="n">base_data</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;date&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">max</span><span class="p">()[</span><span class="s1">&#39;base_data&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
+
+        <span class="k">elif</span> <span class="n">daily_reduction</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">in</span> <span class="p">(</span><span class="s1">&#39;min&#39;</span><span class="p">,</span> <span class="s1">&#39;minimum&#39;</span><span class="p">):</span>
+            <span class="n">base_data</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;date&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">min</span><span class="p">()[</span><span class="s1">&#39;base_data&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
+
+        <span class="k">elif</span> <span class="n">daily_reduction</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">in</span> <span class="p">(</span><span class="s1">&#39;sum&#39;</span><span class="p">,</span> <span class="s1">&#39;total&#39;</span><span class="p">):</span>
+            <span class="n">base_data</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;date&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()[</span><span class="s1">&#39;base_data&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
+
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Daily reduced base data shape </span><span class="si">{</span><span class="n">base_data</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1"> does not &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;match daily time index shape </span><span class="si">{</span><span class="n">daily_ti</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">, &#39;</span>
+            <span class="s1">&#39;something went wrong!&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">base_data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">,</span> <span class="n">msg</span>
+        <span class="k">assert</span> <span class="n">base_data</span><span class="o">.</span><span class="n">shape</span> <span class="o">==</span> <span class="n">daily_ti</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">msg</span>
+
+        <span class="k">return</span> <span class="n">base_data</span><span class="p">,</span> <span class="n">daily_ti</span></div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.bias.bias_calc</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Utilities to calculate the bias correction factors for biased data that is</span>
+<span class="sd">going to be fed into the sup3r downscaling models. This is typically used to</span>
+<span class="sd">bias correct GCM data vs. some historical record like the WTK or NSRDB.</span>
+
+<span class="sd">TODO: Generalize the ``with ProcessPoolExecutor() as exe: ...`` so we don&#39;t</span>
+<span class="sd">need to duplicate this wherever we kickoff a process or thread pool</span>
+<span class="sd">&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">copy</span>
+<span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">from</span> <span class="nn">concurrent.futures</span> <span class="kn">import</span> <span class="n">ProcessPoolExecutor</span><span class="p">,</span> <span class="n">as_completed</span>
+
+<span class="kn">import</span> <span class="nn">h5py</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">from</span> <span class="nn">scipy</span> <span class="kn">import</span> <span class="n">stats</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing</span> <span class="kn">import</span> <span class="n">DataHandler</span>
+
+<span class="kn">from</span> <span class="nn">.base</span> <span class="kn">import</span> <span class="n">DataRetrievalBase</span>
+<span class="kn">from</span> <span class="nn">.mixins</span> <span class="kn">import</span> <span class="n">FillAndSmoothMixin</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="LinearCorrection">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc.LinearCorrection.html#sup3r.bias.bias_calc.LinearCorrection">[docs]</a>
+<span class="k">class</span> <span class="nc">LinearCorrection</span><span class="p">(</span><span class="n">FillAndSmoothMixin</span><span class="p">,</span> <span class="n">DataRetrievalBase</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Calculate linear correction *scalar +adder factors to bias correct data</span>
+
+<span class="sd">    This calculation operates on single bias sites for the full time series of</span>
+<span class="sd">    available data (no season bias correction)</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">NT</span> <span class="o">=</span> <span class="mi">1</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;size of the time dimension, 1 is no time-based bias correction&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="nf">_init_out</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize output arrays&quot;&quot;&quot;</span>
+        <span class="n">keys</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_scalar&#39;</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_adder&#39;</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_mean&#39;</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_std&#39;</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_mean&#39;</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_std&#39;</span><span class="p">,</span>
+        <span class="p">]</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">out</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="n">k</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">full</span><span class="p">(</span>
+                <span class="p">(</span><span class="o">*</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_gid_raster</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">NT</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">float32</span>
+            <span class="p">)</span>
+            <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">keys</span>
+        <span class="p">}</span>
+
+<div class="viewcode-block" id="LinearCorrection.get_linear_correction">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc.LinearCorrection.html#sup3r.bias.bias_calc.LinearCorrection.get_linear_correction">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">get_linear_correction</span><span class="p">(</span><span class="n">bias_data</span><span class="p">,</span> <span class="n">base_data</span><span class="p">,</span> <span class="n">bias_feature</span><span class="p">,</span> <span class="n">base_dset</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the linear correction factors based on 1D bias and base datasets</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        bias_data : np.ndarray</span>
+<span class="sd">            1D array of biased data observations.</span>
+<span class="sd">        base_data : np.ndarray</span>
+<span class="sd">            1D array of base data observations.</span>
+<span class="sd">        bias_feature : str</span>
+<span class="sd">            This is the biased feature from bias_fps to retrieve. This should</span>
+<span class="sd">            be a single feature name corresponding to base_dset</span>
+<span class="sd">        base_dset : str</span>
+<span class="sd">            A single dataset from the base_fps to retrieve. In the case of wind</span>
+<span class="sd">            components, this can be u_100m or v_100m which will retrieve</span>
+<span class="sd">            windspeed and winddirection and derive the U/V component.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out : dict</span>
+<span class="sd">            Dictionary of values defining the mean/std of the bias + base</span>
+<span class="sd">            data and the scalar + adder factors to correct the biased data</span>
+<span class="sd">            like: bias_data * scalar + adder</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">bias_std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanstd</span><span class="p">(</span><span class="n">bias_data</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">bias_std</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="n">bias_std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanstd</span><span class="p">(</span><span class="n">base_data</span><span class="p">)</span>
+
+        <span class="n">scalar</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanstd</span><span class="p">(</span><span class="n">base_data</span><span class="p">)</span> <span class="o">/</span> <span class="n">bias_std</span>
+        <span class="n">adder</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">base_data</span><span class="p">)</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">bias_data</span><span class="p">)</span> <span class="o">*</span> <span class="n">scalar</span>
+
+        <span class="n">out</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_mean&#39;</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">bias_data</span><span class="p">),</span>
+            <span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_std&#39;</span><span class="p">:</span> <span class="n">bias_std</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_mean&#39;</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">base_data</span><span class="p">),</span>
+            <span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_std&#39;</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">nanstd</span><span class="p">(</span><span class="n">base_data</span><span class="p">),</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_scalar&#39;</span><span class="p">:</span> <span class="n">scalar</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_adder&#39;</span><span class="p">:</span> <span class="n">adder</span><span class="p">,</span>
+        <span class="p">}</span>
+
+        <span class="k">return</span> <span class="n">out</span></div>
+
+
+    <span class="c1"># pylint: disable=W0613</span>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">_run_single</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">bias_data</span><span class="p">,</span>
+        <span class="n">base_fps</span><span class="p">,</span>
+        <span class="n">bias_feature</span><span class="p">,</span>
+        <span class="n">base_dset</span><span class="p">,</span>
+        <span class="n">base_gid</span><span class="p">,</span>
+        <span class="n">base_handler</span><span class="p">,</span>
+        <span class="n">daily_reduction</span><span class="p">,</span>
+        <span class="n">bias_ti</span><span class="p">,</span>  <span class="c1"># noqa: ARG003</span>
+        <span class="n">decimals</span><span class="p">,</span>
+        <span class="n">base_dh_inst</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">match_zero_rate</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Find the nominal scalar + adder combination to bias correct data</span>
+<span class="sd">        at a single site&quot;&quot;&quot;</span>
+
+        <span class="n">base_data</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_base_data</span><span class="p">(</span>
+            <span class="n">base_fps</span><span class="p">,</span>
+            <span class="n">base_dset</span><span class="p">,</span>
+            <span class="n">base_gid</span><span class="p">,</span>
+            <span class="n">base_handler</span><span class="p">,</span>
+            <span class="n">daily_reduction</span><span class="o">=</span><span class="n">daily_reduction</span><span class="p">,</span>
+            <span class="n">decimals</span><span class="o">=</span><span class="n">decimals</span><span class="p">,</span>
+            <span class="n">base_dh_inst</span><span class="o">=</span><span class="n">base_dh_inst</span><span class="p">,</span>
+        <span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">match_zero_rate</span><span class="p">:</span>
+            <span class="n">bias_data</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">_match_zero_rate</span><span class="p">(</span><span class="n">bias_data</span><span class="p">,</span> <span class="n">base_data</span><span class="p">)</span>
+
+        <span class="n">out</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_linear_correction</span><span class="p">(</span>
+            <span class="n">bias_data</span><span class="p">,</span> <span class="n">base_data</span><span class="p">,</span> <span class="n">bias_feature</span><span class="p">,</span> <span class="n">base_dset</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="n">out</span>
+
+<div class="viewcode-block" id="LinearCorrection.write_outputs">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc.LinearCorrection.html#sup3r.bias.bias_calc.LinearCorrection.write_outputs">[docs]</a>
+    <span class="k">def</span> <span class="nf">write_outputs</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">fp_out</span><span class="p">,</span> <span class="n">out</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Write outputs to an .h5 file.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        fp_out : str | None</span>
+<span class="sd">            Optional .h5 output file to write scalar and adder arrays.</span>
+<span class="sd">        out : dict</span>
+<span class="sd">            Dictionary of values defining the mean/std of the bias + base</span>
+<span class="sd">            data and the scalar + adder factors to correct the biased data</span>
+<span class="sd">            like: bias_data * scalar + adder. Each value is of shape</span>
+<span class="sd">            (lat, lon, time).</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="n">fp_out</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">fp_out</span><span class="p">)):</span>
+                <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">fp_out</span><span class="p">),</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+            <span class="k">with</span> <span class="n">h5py</span><span class="o">.</span><span class="n">File</span><span class="p">(</span><span class="n">fp_out</span><span class="p">,</span> <span class="s1">&#39;w&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+                <span class="c1"># pylint: disable=E1136</span>
+                <span class="n">lat</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_dh</span><span class="o">.</span><span class="n">lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span>
+                <span class="n">lon</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_dh</span><span class="o">.</span><span class="n">lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">create_dataset</span><span class="p">(</span><span class="s1">&#39;latitude&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">lat</span><span class="p">)</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">create_dataset</span><span class="p">(</span><span class="s1">&#39;longitude&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">lon</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">dset</span><span class="p">,</span> <span class="n">data</span> <span class="ow">in</span> <span class="n">out</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                    <span class="n">f</span><span class="o">.</span><span class="n">create_dataset</span><span class="p">(</span><span class="n">dset</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">)</span>
+
+                <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                    <span class="n">f</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">v</span><span class="p">)</span>
+
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="s1">&#39;Wrote scalar adder factors to file: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">fp_out</span><span class="p">)</span>
+                <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="LinearCorrection.run">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc.LinearCorrection.html#sup3r.bias.bias_calc.LinearCorrection.run">[docs]</a>
+    <span class="k">def</span> <span class="nf">run</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">fp_out</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">max_workers</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">daily_reduction</span><span class="o">=</span><span class="s1">&#39;avg&#39;</span><span class="p">,</span>
+        <span class="n">fill_extend</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+        <span class="n">smooth_extend</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
+        <span class="n">smooth_interior</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Run linear correction factor calculations for every site in the bias</span>
+<span class="sd">        dataset</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        fp_out : str | None</span>
+<span class="sd">            Optional .h5 output file to write scalar and adder arrays.</span>
+<span class="sd">        max_workers : int</span>
+<span class="sd">            Number of workers to run in parallel. 1 is serial and None is all</span>
+<span class="sd">            available.</span>
+<span class="sd">        daily_reduction : None | str</span>
+<span class="sd">            Option to do a reduction of the hourly+ source base data to daily</span>
+<span class="sd">            data. Can be None (no reduction, keep source time frequency), &quot;avg&quot;</span>
+<span class="sd">            (daily average), &quot;max&quot; (daily max), &quot;min&quot; (daily min),</span>
+<span class="sd">            &quot;sum&quot; (daily sum/total)</span>
+<span class="sd">        fill_extend : bool</span>
+<span class="sd">            Flag to fill data past distance_upper_bound using spatial nearest</span>
+<span class="sd">            neighbor. If False, the extended domain will be left as NaN.</span>
+<span class="sd">        smooth_extend : float</span>
+<span class="sd">            Option to smooth the scalar/adder data outside of the spatial</span>
+<span class="sd">            domain set by the distance_upper_bound input. This alleviates the</span>
+<span class="sd">            weird seams far from the domain of interest. This value is the</span>
+<span class="sd">            standard deviation for the gaussian_filter kernel</span>
+<span class="sd">        smooth_interior : float</span>
+<span class="sd">            Option to smooth the scalar/adder data within the valid spatial</span>
+<span class="sd">            domain.  This can reduce the affect of extreme values within</span>
+<span class="sd">            aggregations over large number of pixels.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out : dict</span>
+<span class="sd">            Dictionary of values defining the mean/std of the bias + base</span>
+<span class="sd">            data and the scalar + adder factors to correct the biased data</span>
+<span class="sd">            like: bias_data * scalar + adder. Each value is of shape</span>
+<span class="sd">            (lat, lon, time).</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Starting linear correction calculation...&#39;</span><span class="p">)</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;Initialized scalar / adder with shape: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">bias_gid_raster</span><span class="o">.</span><span class="n">shape</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">bad_bias_gids</span> <span class="o">=</span> <span class="p">[]</span>
+
+        <span class="c1"># sup3r DataHandler opening base files will load all data in parallel</span>
+        <span class="c1"># during the init and should not be passed in parallel to workers</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">base_dh</span><span class="p">,</span> <span class="n">DataHandler</span><span class="p">):</span>
+            <span class="n">max_workers</span> <span class="o">=</span> <span class="mi">1</span>
+
+        <span class="k">if</span> <span class="n">max_workers</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Running serial calculation.&#39;</span><span class="p">)</span>
+            <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">bias_gid</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_meta</span><span class="o">.</span><span class="n">index</span><span class="p">):</span>
+                <span class="n">raster_loc</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_gid_raster</span> <span class="o">==</span> <span class="n">bias_gid</span><span class="p">)</span>
+                <span class="n">_</span><span class="p">,</span> <span class="n">base_gid</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_base_gid</span><span class="p">(</span><span class="n">bias_gid</span><span class="p">)</span>
+
+                <span class="k">if</span> <span class="ow">not</span> <span class="n">base_gid</span><span class="o">.</span><span class="n">any</span><span class="p">():</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">bad_bias_gids</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">bias_gid</span><span class="p">)</span>
+                <span class="k">else</span><span class="p">:</span>
+                    <span class="n">bias_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_bias_data</span><span class="p">(</span><span class="n">bias_gid</span><span class="p">)</span>
+                    <span class="n">single_out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_run_single</span><span class="p">(</span>
+                        <span class="n">bias_data</span><span class="p">,</span>
+                        <span class="bp">self</span><span class="o">.</span><span class="n">base_fps</span><span class="p">,</span>
+                        <span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="p">,</span>
+                        <span class="bp">self</span><span class="o">.</span><span class="n">base_dset</span><span class="p">,</span>
+                        <span class="n">base_gid</span><span class="p">,</span>
+                        <span class="bp">self</span><span class="o">.</span><span class="n">base_handler</span><span class="p">,</span>
+                        <span class="n">daily_reduction</span><span class="p">,</span>
+                        <span class="bp">self</span><span class="o">.</span><span class="n">bias_ti</span><span class="p">,</span>
+                        <span class="bp">self</span><span class="o">.</span><span class="n">decimals</span><span class="p">,</span>
+                        <span class="n">base_dh_inst</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">base_dh</span><span class="p">,</span>
+                        <span class="n">match_zero_rate</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">match_zero_rate</span><span class="p">,</span>
+                    <span class="p">)</span>
+                    <span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">arr</span> <span class="ow">in</span> <span class="n">single_out</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                        <span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">[</span><span class="n">key</span><span class="p">][</span><span class="n">raster_loc</span><span class="p">]</span> <span class="o">=</span> <span class="n">arr</span>
+
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="s1">&#39;Completed bias calculations for </span><span class="si">{}</span><span class="s1"> out of </span><span class="si">{}</span><span class="s1"> &#39;</span>
+                    <span class="s1">&#39;sites&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">i</span> <span class="o">+</span> <span class="mi">1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_meta</span><span class="p">))</span>
+                <span class="p">)</span>
+
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                <span class="s1">&#39;Running parallel calculation with </span><span class="si">{}</span><span class="s1"> workers.&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="n">max_workers</span>
+                <span class="p">)</span>
+            <span class="p">)</span>
+            <span class="k">with</span> <span class="n">ProcessPoolExecutor</span><span class="p">(</span><span class="n">max_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">)</span> <span class="k">as</span> <span class="n">exe</span><span class="p">:</span>
+                <span class="n">futures</span> <span class="o">=</span> <span class="p">{}</span>
+                <span class="k">for</span> <span class="n">bias_gid</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_meta</span><span class="o">.</span><span class="n">index</span><span class="p">:</span>
+                    <span class="n">raster_loc</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_gid_raster</span> <span class="o">==</span> <span class="n">bias_gid</span><span class="p">)</span>
+                    <span class="n">_</span><span class="p">,</span> <span class="n">base_gid</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_base_gid</span><span class="p">(</span><span class="n">bias_gid</span><span class="p">)</span>
+
+                    <span class="k">if</span> <span class="ow">not</span> <span class="n">base_gid</span><span class="o">.</span><span class="n">any</span><span class="p">():</span>
+                        <span class="bp">self</span><span class="o">.</span><span class="n">bad_bias_gids</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">bias_gid</span><span class="p">)</span>
+                    <span class="k">else</span><span class="p">:</span>
+                        <span class="n">bias_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_bias_data</span><span class="p">(</span><span class="n">bias_gid</span><span class="p">)</span>
+                        <span class="n">future</span> <span class="o">=</span> <span class="n">exe</span><span class="o">.</span><span class="n">submit</span><span class="p">(</span>
+                            <span class="bp">self</span><span class="o">.</span><span class="n">_run_single</span><span class="p">,</span>
+                            <span class="n">bias_data</span><span class="p">,</span>
+                            <span class="bp">self</span><span class="o">.</span><span class="n">base_fps</span><span class="p">,</span>
+                            <span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="p">,</span>
+                            <span class="bp">self</span><span class="o">.</span><span class="n">base_dset</span><span class="p">,</span>
+                            <span class="n">base_gid</span><span class="p">,</span>
+                            <span class="bp">self</span><span class="o">.</span><span class="n">base_handler</span><span class="p">,</span>
+                            <span class="n">daily_reduction</span><span class="p">,</span>
+                            <span class="bp">self</span><span class="o">.</span><span class="n">bias_ti</span><span class="p">,</span>
+                            <span class="bp">self</span><span class="o">.</span><span class="n">decimals</span><span class="p">,</span>
+                            <span class="n">match_zero_rate</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">match_zero_rate</span><span class="p">,</span>
+                        <span class="p">)</span>
+                        <span class="n">futures</span><span class="p">[</span><span class="n">future</span><span class="p">]</span> <span class="o">=</span> <span class="n">raster_loc</span>
+
+                <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Finished launching futures.&#39;</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">future</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">as_completed</span><span class="p">(</span><span class="n">futures</span><span class="p">)):</span>
+                    <span class="n">raster_loc</span> <span class="o">=</span> <span class="n">futures</span><span class="p">[</span><span class="n">future</span><span class="p">]</span>
+                    <span class="n">single_out</span> <span class="o">=</span> <span class="n">future</span><span class="o">.</span><span class="n">result</span><span class="p">()</span>
+                    <span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">arr</span> <span class="ow">in</span> <span class="n">single_out</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                        <span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">[</span><span class="n">key</span><span class="p">][</span><span class="n">raster_loc</span><span class="p">]</span> <span class="o">=</span> <span class="n">arr</span>
+
+                    <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                        <span class="s1">&#39;Completed bias calculations for </span><span class="si">{}</span><span class="s1"> out of </span><span class="si">{}</span><span class="s1"> &#39;</span>
+                        <span class="s1">&#39;sites&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">i</span> <span class="o">+</span> <span class="mi">1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">futures</span><span class="p">))</span>
+                    <span class="p">)</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Finished calculating bias correction factors.&#39;</span><span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">fill_and_smooth</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">,</span> <span class="n">fill_extend</span><span class="p">,</span> <span class="n">smooth_extend</span><span class="p">,</span> <span class="n">smooth_interior</span>
+        <span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">write_outputs</span><span class="p">(</span><span class="n">fp_out</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">)</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="ScalarCorrection">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc.ScalarCorrection.html#sup3r.bias.bias_calc.ScalarCorrection">[docs]</a>
+<span class="k">class</span> <span class="nc">ScalarCorrection</span><span class="p">(</span><span class="n">LinearCorrection</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Calculate annual linear correction *scalar factors to bias correct data.</span>
+<span class="sd">    This typically used when base data is just monthly or annual means and</span>
+<span class="sd">    standard deviations cannot be computed. This is case for vortex data, for</span>
+<span class="sd">    example. Thus, just scalar factors are computed as mean(base_data) /</span>
+<span class="sd">    mean(bias_data). Adder factors are still written but are exactly zero.</span>
+
+<span class="sd">    This calculation operates on single bias sites on a monthly basis</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="ScalarCorrection.get_linear_correction">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc.ScalarCorrection.html#sup3r.bias.bias_calc.ScalarCorrection.get_linear_correction">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">get_linear_correction</span><span class="p">(</span><span class="n">bias_data</span><span class="p">,</span> <span class="n">base_data</span><span class="p">,</span> <span class="n">bias_feature</span><span class="p">,</span> <span class="n">base_dset</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the linear correction factors based on 1D bias and base datasets</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        bias_data : np.ndarray</span>
+<span class="sd">            1D array of biased data observations.</span>
+<span class="sd">        base_data : np.ndarray</span>
+<span class="sd">            1D array of base data observations.</span>
+<span class="sd">        bias_feature : str</span>
+<span class="sd">            This is the biased feature from bias_fps to retrieve. This should</span>
+<span class="sd">            be a single feature name corresponding to base_dset</span>
+<span class="sd">        base_dset : str</span>
+<span class="sd">            A single dataset from the base_fps to retrieve. In the case of wind</span>
+<span class="sd">            components, this can be u_100m or v_100m which will retrieve</span>
+<span class="sd">            windspeed and winddirection and derive the U/V component.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out : dict</span>
+<span class="sd">            Dictionary of values defining the mean/std of the bias + base</span>
+<span class="sd">            data and the scalar + adder factors to correct the biased data</span>
+<span class="sd">            like: bias_data * scalar + adder</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">bias_std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanstd</span><span class="p">(</span><span class="n">bias_data</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">bias_std</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="n">bias_std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanstd</span><span class="p">(</span><span class="n">base_data</span><span class="p">)</span>
+
+        <span class="n">base_mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">base_data</span><span class="p">)</span>
+        <span class="n">bias_mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">bias_data</span><span class="p">)</span>
+        <span class="n">scalar</span> <span class="o">=</span> <span class="n">base_mean</span> <span class="o">/</span> <span class="n">bias_mean</span>
+        <span class="n">adder</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="n">scalar</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+
+        <span class="n">out</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_mean&#39;</span><span class="p">:</span> <span class="n">bias_mean</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_mean&#39;</span><span class="p">:</span> <span class="n">base_mean</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_scalar&#39;</span><span class="p">:</span> <span class="n">scalar</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_adder&#39;</span><span class="p">:</span> <span class="n">adder</span><span class="p">,</span>
+        <span class="p">}</span>
+
+        <span class="k">return</span> <span class="n">out</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="MonthlyLinearCorrection">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc.MonthlyLinearCorrection.html#sup3r.bias.bias_calc.MonthlyLinearCorrection">[docs]</a>
+<span class="k">class</span> <span class="nc">MonthlyLinearCorrection</span><span class="p">(</span><span class="n">LinearCorrection</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Calculate linear correction *scalar +adder factors to bias correct data</span>
+
+<span class="sd">    This calculation operates on single bias sites on a monthly basis</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">NT</span> <span class="o">=</span> <span class="mi">12</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;size of the time dimension, 12 is monthly bias correction&quot;&quot;&quot;</span>
+
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">_run_single</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">bias_data</span><span class="p">,</span>
+        <span class="n">base_fps</span><span class="p">,</span>
+        <span class="n">bias_feature</span><span class="p">,</span>
+        <span class="n">base_dset</span><span class="p">,</span>
+        <span class="n">base_gid</span><span class="p">,</span>
+        <span class="n">base_handler</span><span class="p">,</span>
+        <span class="n">daily_reduction</span><span class="p">,</span>
+        <span class="n">bias_ti</span><span class="p">,</span>
+        <span class="n">decimals</span><span class="p">,</span>
+        <span class="n">base_dh_inst</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">match_zero_rate</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Find the nominal scalar + adder combination to bias correct data</span>
+<span class="sd">        at a single site&quot;&quot;&quot;</span>
+
+        <span class="n">base_data</span><span class="p">,</span> <span class="n">base_ti</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_base_data</span><span class="p">(</span>
+            <span class="n">base_fps</span><span class="p">,</span>
+            <span class="n">base_dset</span><span class="p">,</span>
+            <span class="n">base_gid</span><span class="p">,</span>
+            <span class="n">base_handler</span><span class="p">,</span>
+            <span class="n">daily_reduction</span><span class="o">=</span><span class="n">daily_reduction</span><span class="p">,</span>
+            <span class="n">decimals</span><span class="o">=</span><span class="n">decimals</span><span class="p">,</span>
+            <span class="n">base_dh_inst</span><span class="o">=</span><span class="n">base_dh_inst</span><span class="p">,</span>
+        <span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">match_zero_rate</span><span class="p">:</span>
+            <span class="n">bias_data</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">_match_zero_rate</span><span class="p">(</span><span class="n">bias_data</span><span class="p">,</span> <span class="n">base_data</span><span class="p">)</span>
+
+        <span class="n">base_arr</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">full</span><span class="p">(</span><span class="bp">cls</span><span class="o">.</span><span class="n">NT</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="p">{}</span>
+
+        <span class="k">for</span> <span class="n">month</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">13</span><span class="p">):</span>
+            <span class="n">bias_mask</span> <span class="o">=</span> <span class="n">bias_ti</span><span class="o">.</span><span class="n">month</span> <span class="o">==</span> <span class="n">month</span>
+            <span class="n">base_mask</span> <span class="o">=</span> <span class="n">base_ti</span><span class="o">.</span><span class="n">month</span> <span class="o">==</span> <span class="n">month</span>
+
+            <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">bias_mask</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">any</span><span class="p">(</span><span class="n">base_mask</span><span class="p">):</span>
+                <span class="n">mout</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_linear_correction</span><span class="p">(</span>
+                    <span class="n">bias_data</span><span class="p">[</span><span class="n">bias_mask</span><span class="p">],</span>
+                    <span class="n">base_data</span><span class="p">[</span><span class="n">base_mask</span><span class="p">],</span>
+                    <span class="n">bias_feature</span><span class="p">,</span>
+                    <span class="n">base_dset</span><span class="p">,</span>
+                <span class="p">)</span>
+                <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">mout</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                    <span class="k">if</span> <span class="n">k</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">out</span><span class="p">:</span>
+                        <span class="n">out</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="n">base_arr</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+                    <span class="n">out</span><span class="p">[</span><span class="n">k</span><span class="p">][</span><span class="n">month</span> <span class="o">-</span> <span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="n">v</span>
+
+        <span class="k">return</span> <span class="n">out</span></div>
+
+
+
+<div class="viewcode-block" id="MonthlyScalarCorrection">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc.MonthlyScalarCorrection.html#sup3r.bias.bias_calc.MonthlyScalarCorrection">[docs]</a>
+<span class="k">class</span> <span class="nc">MonthlyScalarCorrection</span><span class="p">(</span><span class="n">MonthlyLinearCorrection</span><span class="p">,</span> <span class="n">ScalarCorrection</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Calculate linear correction *scalar factors for each month&quot;&quot;&quot;</span>
+
+    <span class="n">NT</span> <span class="o">=</span> <span class="mi">12</span></div>
+
+
+
+<div class="viewcode-block" id="SkillAssessment">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc.SkillAssessment.html#sup3r.bias.bias_calc.SkillAssessment">[docs]</a>
+<span class="k">class</span> <span class="nc">SkillAssessment</span><span class="p">(</span><span class="n">MonthlyLinearCorrection</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Calculate historical skill of one dataset compared to another.&quot;&quot;&quot;</span>
+
+    <span class="n">PERCENTILES</span> <span class="o">=</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">25</span><span class="p">,</span> <span class="mi">50</span><span class="p">,</span> <span class="mi">75</span><span class="p">,</span> <span class="mi">95</span><span class="p">,</span> <span class="mi">99</span><span class="p">)</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Data percentiles to report.&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="nf">_init_out</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize output arrays&quot;&quot;&quot;</span>
+
+        <span class="n">monthly_keys</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_scalar&#39;</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_adder&#39;</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_mean_monthly&#39;</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_std_monthly&#39;</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_mean_monthly&#39;</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_std_monthly&#39;</span><span class="p">,</span>
+        <span class="p">]</span>
+
+        <span class="n">annual_keys</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_ks_stat&#39;</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_ks_p&#39;</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_bias&#39;</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_mean&#39;</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_std&#39;</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_skew&#39;</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_kurtosis&#39;</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_zero_rate&#39;</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_mean&#39;</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_std&#39;</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_skew&#39;</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_kurtosis&#39;</span><span class="p">,</span>
+            <span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_zero_rate&#39;</span><span class="p">,</span>
+        <span class="p">]</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">out</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="n">k</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">full</span><span class="p">(</span>
+                <span class="p">(</span><span class="o">*</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_gid_raster</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">NT</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">float32</span>
+            <span class="p">)</span>
+            <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">monthly_keys</span>
+        <span class="p">}</span>
+
+        <span class="n">arr</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">full</span><span class="p">((</span><span class="o">*</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_gid_raster</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+        <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">annual_keys</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="n">arr</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+
+        <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">PERCENTILES</span><span class="p">:</span>
+            <span class="n">base_k</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_percentile_</span><span class="si">{</span><span class="n">p</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="n">bias_k</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_percentile_</span><span class="si">{</span><span class="n">p</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">[</span><span class="n">base_k</span><span class="p">]</span> <span class="o">=</span> <span class="n">arr</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">[</span><span class="n">bias_k</span><span class="p">]</span> <span class="o">=</span> <span class="n">arr</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">_run_skill_eval</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">bias_data</span><span class="p">,</span>
+        <span class="n">base_data</span><span class="p">,</span>
+        <span class="n">bias_feature</span><span class="p">,</span>
+        <span class="n">base_dset</span><span class="p">,</span>
+        <span class="n">match_zero_rate</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Run skill assessment metrics on 1D datasets at a single site.</span>
+
+<span class="sd">        Note we run the KS test on the mean=0 distributions as per:</span>
+<span class="sd">        S. Brands et al. 2013 https://doi.org/10.1007/s00382-013-1742-8</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="n">match_zero_rate</span><span class="p">:</span>
+            <span class="n">bias_data</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">_match_zero_rate</span><span class="p">(</span><span class="n">bias_data</span><span class="p">,</span> <span class="n">base_data</span><span class="p">)</span>
+
+        <span class="n">out</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="n">bias_mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">bias_data</span><span class="p">)</span>
+        <span class="n">base_mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">base_data</span><span class="p">)</span>
+        <span class="n">out</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_bias&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">bias_mean</span> <span class="o">-</span> <span class="n">base_mean</span>
+
+        <span class="n">out</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_mean&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">bias_mean</span>
+        <span class="n">out</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_std&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanstd</span><span class="p">(</span><span class="n">bias_data</span><span class="p">)</span>
+        <span class="n">out</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_skew&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">skew</span><span class="p">(</span><span class="n">bias_data</span><span class="p">)</span>
+        <span class="n">out</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_kurtosis&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">kurtosis</span><span class="p">(</span><span class="n">bias_data</span><span class="p">)</span>
+        <span class="n">out</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_zero_rate&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">bias_data</span> <span class="o">==</span> <span class="mi">0</span><span class="p">)</span>
+
+        <span class="n">out</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_mean&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">base_mean</span>
+        <span class="n">out</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_std&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanstd</span><span class="p">(</span><span class="n">base_data</span><span class="p">)</span>
+        <span class="n">out</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_skew&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">skew</span><span class="p">(</span><span class="n">base_data</span><span class="p">)</span>
+        <span class="n">out</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_kurtosis&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">kurtosis</span><span class="p">(</span><span class="n">base_data</span><span class="p">)</span>
+        <span class="n">out</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_zero_rate&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">base_data</span> <span class="o">==</span> <span class="mi">0</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">match_zero_rate</span><span class="p">:</span>
+            <span class="n">ks_out</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">ks_2samp</span><span class="p">(</span><span class="n">base_data</span><span class="p">,</span> <span class="n">bias_data</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">ks_out</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">ks_2samp</span><span class="p">(</span>
+                <span class="n">base_data</span> <span class="o">-</span> <span class="n">base_mean</span><span class="p">,</span> <span class="n">bias_data</span> <span class="o">-</span> <span class="n">bias_mean</span>
+            <span class="p">)</span>
+
+        <span class="n">out</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_ks_stat&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">ks_out</span><span class="o">.</span><span class="n">statistic</span>
+        <span class="n">out</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_ks_p&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">ks_out</span><span class="o">.</span><span class="n">pvalue</span>
+
+        <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="bp">cls</span><span class="o">.</span><span class="n">PERCENTILES</span><span class="p">:</span>
+            <span class="n">base_k</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_percentile_</span><span class="si">{</span><span class="n">p</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="n">bias_k</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_percentile_</span><span class="si">{</span><span class="n">p</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="n">out</span><span class="p">[</span><span class="n">base_k</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">percentile</span><span class="p">(</span><span class="n">base_data</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
+            <span class="n">out</span><span class="p">[</span><span class="n">bias_k</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">percentile</span><span class="p">(</span><span class="n">bias_data</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">out</span>
+
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">_run_single</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">bias_data</span><span class="p">,</span>
+        <span class="n">base_fps</span><span class="p">,</span>
+        <span class="n">bias_feature</span><span class="p">,</span>
+        <span class="n">base_dset</span><span class="p">,</span>
+        <span class="n">base_gid</span><span class="p">,</span>
+        <span class="n">base_handler</span><span class="p">,</span>
+        <span class="n">daily_reduction</span><span class="p">,</span>
+        <span class="n">bias_ti</span><span class="p">,</span>
+        <span class="n">decimals</span><span class="p">,</span>
+        <span class="n">base_dh_inst</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">match_zero_rate</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Do a skill assessment at a single site&quot;&quot;&quot;</span>
+
+        <span class="n">base_data</span><span class="p">,</span> <span class="n">base_ti</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_base_data</span><span class="p">(</span>
+            <span class="n">base_fps</span><span class="p">,</span>
+            <span class="n">base_dset</span><span class="p">,</span>
+            <span class="n">base_gid</span><span class="p">,</span>
+            <span class="n">base_handler</span><span class="p">,</span>
+            <span class="n">daily_reduction</span><span class="o">=</span><span class="n">daily_reduction</span><span class="p">,</span>
+            <span class="n">decimals</span><span class="o">=</span><span class="n">decimals</span><span class="p">,</span>
+            <span class="n">base_dh_inst</span><span class="o">=</span><span class="n">base_dh_inst</span><span class="p">,</span>
+        <span class="p">)</span>
+
+        <span class="n">arr</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">full</span><span class="p">(</span><span class="bp">cls</span><span class="o">.</span><span class="n">NT</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_mean_monthly&#39;</span><span class="p">:</span> <span class="n">arr</span><span class="o">.</span><span class="n">copy</span><span class="p">(),</span>
+            <span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_std_monthly&#39;</span><span class="p">:</span> <span class="n">arr</span><span class="o">.</span><span class="n">copy</span><span class="p">(),</span>
+            <span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_mean_monthly&#39;</span><span class="p">:</span> <span class="n">arr</span><span class="o">.</span><span class="n">copy</span><span class="p">(),</span>
+            <span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_std_monthly&#39;</span><span class="p">:</span> <span class="n">arr</span><span class="o">.</span><span class="n">copy</span><span class="p">(),</span>
+        <span class="p">}</span>
+
+        <span class="n">out</span><span class="o">.</span><span class="n">update</span><span class="p">(</span>
+            <span class="bp">cls</span><span class="o">.</span><span class="n">_run_skill_eval</span><span class="p">(</span>
+                <span class="n">bias_data</span><span class="p">,</span>
+                <span class="n">base_data</span><span class="p">,</span>
+                <span class="n">bias_feature</span><span class="p">,</span>
+                <span class="n">base_dset</span><span class="p">,</span>
+                <span class="n">match_zero_rate</span><span class="o">=</span><span class="n">match_zero_rate</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+
+        <span class="k">for</span> <span class="n">month</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">13</span><span class="p">):</span>
+            <span class="n">bias_mask</span> <span class="o">=</span> <span class="n">bias_ti</span><span class="o">.</span><span class="n">month</span> <span class="o">==</span> <span class="n">month</span>
+            <span class="n">base_mask</span> <span class="o">=</span> <span class="n">base_ti</span><span class="o">.</span><span class="n">month</span> <span class="o">==</span> <span class="n">month</span>
+
+            <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">bias_mask</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">any</span><span class="p">(</span><span class="n">base_mask</span><span class="p">):</span>
+                <span class="n">mout</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_linear_correction</span><span class="p">(</span>
+                    <span class="n">bias_data</span><span class="p">[</span><span class="n">bias_mask</span><span class="p">],</span>
+                    <span class="n">base_data</span><span class="p">[</span><span class="n">base_mask</span><span class="p">],</span>
+                    <span class="n">bias_feature</span><span class="p">,</span>
+                    <span class="n">base_dset</span><span class="p">,</span>
+                <span class="p">)</span>
+                <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">mout</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                    <span class="k">if</span> <span class="ow">not</span> <span class="n">k</span><span class="o">.</span><span class="n">endswith</span><span class="p">((</span><span class="s1">&#39;_scalar&#39;</span><span class="p">,</span> <span class="s1">&#39;_adder&#39;</span><span class="p">)):</span>
+                        <span class="n">k</span> <span class="o">+=</span> <span class="s1">&#39;_monthly&#39;</span>
+                        <span class="n">out</span><span class="p">[</span><span class="n">k</span><span class="p">][</span><span class="n">month</span> <span class="o">-</span> <span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="n">v</span>
+
+        <span class="k">return</span> <span class="n">out</span></div>
+
+</pre></div>
+
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+  <h1>Source code for sup3r.bias.bias_calc_cli</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;sup3r bias correction calculation CLI entry points.&quot;&quot;&quot;</span>
+<span class="kn">import</span> <span class="nn">copy</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+
+<span class="kn">import</span> <span class="nn">click</span>
+
+<span class="kn">import</span> <span class="nn">sup3r.bias</span>
+<span class="kn">from</span> <span class="nn">sup3r</span> <span class="kn">import</span> <span class="n">__version__</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities</span> <span class="kn">import</span> <span class="n">ModuleName</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.cli</span> <span class="kn">import</span> <span class="n">AVAILABLE_HARDWARE_OPTIONS</span><span class="p">,</span> <span class="n">BaseCLI</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<span class="nd">@click</span><span class="o">.</span><span class="n">group</span><span class="p">()</span>
+<span class="nd">@click</span><span class="o">.</span><span class="n">version_option</span><span class="p">(</span><span class="n">version</span><span class="o">=</span><span class="n">__version__</span><span class="p">)</span>
+<span class="nd">@click</span><span class="o">.</span><span class="n">option</span><span class="p">(</span><span class="s1">&#39;-v&#39;</span><span class="p">,</span> <span class="s1">&#39;--verbose&#39;</span><span class="p">,</span> <span class="n">is_flag</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+              <span class="n">help</span><span class="o">=</span><span class="s1">&#39;Flag to turn on debug logging. Default is not verbose.&#39;</span><span class="p">)</span>
+<span class="nd">@click</span><span class="o">.</span><span class="n">pass_context</span>
+<span class="k">def</span> <span class="nf">main</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">verbose</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Sup3r bias calc Command Line Interface&quot;&quot;&quot;</span>
+    <span class="n">ctx</span><span class="o">.</span><span class="n">ensure_object</span><span class="p">(</span><span class="nb">dict</span><span class="p">)</span>
+    <span class="n">ctx</span><span class="o">.</span><span class="n">obj</span><span class="p">[</span><span class="s1">&#39;VERBOSE&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">verbose</span>
+
+
+<span class="nd">@main</span><span class="o">.</span><span class="n">command</span><span class="p">()</span>
+<span class="nd">@click</span><span class="o">.</span><span class="n">option</span><span class="p">(</span><span class="s1">&#39;--config_file&#39;</span><span class="p">,</span> <span class="s1">&#39;-c&#39;</span><span class="p">,</span> <span class="n">required</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+              <span class="nb">type</span><span class="o">=</span><span class="n">click</span><span class="o">.</span><span class="n">Path</span><span class="p">(</span><span class="n">exists</span><span class="o">=</span><span class="kc">True</span><span class="p">),</span>
+              <span class="n">help</span><span class="o">=</span><span class="s1">&#39;sup3r bias correction calculation config .json file.&#39;</span><span class="p">)</span>
+<span class="nd">@click</span><span class="o">.</span><span class="n">option</span><span class="p">(</span><span class="s1">&#39;-v&#39;</span><span class="p">,</span> <span class="s1">&#39;--verbose&#39;</span><span class="p">,</span> <span class="n">is_flag</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+              <span class="n">help</span><span class="o">=</span><span class="s1">&#39;Flag to turn on debug logging. Default is not verbose.&#39;</span><span class="p">)</span>
+<span class="nd">@click</span><span class="o">.</span><span class="n">pass_context</span>
+<span class="k">def</span> <span class="nf">from_config</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">config_file</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Run sup3r bias correction calculation from a config file.&quot;&quot;&quot;</span>
+    <span class="n">config</span> <span class="o">=</span> <span class="n">BaseCLI</span><span class="o">.</span><span class="n">from_config_preflight</span><span class="p">(</span><span class="n">ModuleName</span><span class="o">.</span><span class="n">BIAS_CALC</span><span class="p">,</span> <span class="n">ctx</span><span class="p">,</span>
+                                           <span class="n">config_file</span><span class="p">,</span> <span class="n">verbose</span><span class="p">)</span>
+
+    <span class="n">exec_kwargs</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;execution_control&#39;</span><span class="p">,</span> <span class="p">{})</span>
+    <span class="n">hardware_option</span> <span class="o">=</span> <span class="n">exec_kwargs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">&#39;option&#39;</span><span class="p">,</span> <span class="s1">&#39;local&#39;</span><span class="p">)</span>
+    <span class="n">calc_class_name</span> <span class="o">=</span> <span class="n">config</span><span class="p">[</span><span class="s1">&#39;bias_calc_class&#39;</span><span class="p">]</span>
+    <span class="n">BiasCalcClass</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">sup3r</span><span class="o">.</span><span class="n">bias</span><span class="p">,</span> <span class="n">calc_class_name</span><span class="p">)</span>
+    <span class="n">basename</span> <span class="o">=</span> <span class="n">config</span><span class="p">[</span><span class="s1">&#39;job_name&#39;</span><span class="p">]</span>
+    <span class="n">log_pattern</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;log_pattern&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+
+    <span class="n">jobs</span> <span class="o">=</span> <span class="n">config</span><span class="p">[</span><span class="s1">&#39;jobs&#39;</span><span class="p">]</span>
+    <span class="k">for</span> <span class="n">i_node</span><span class="p">,</span> <span class="n">job</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">jobs</span><span class="p">):</span>
+        <span class="n">node_config</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">job</span><span class="p">)</span>
+        <span class="n">node_config</span><span class="p">[</span><span class="s1">&#39;status_dir&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">config</span><span class="p">[</span><span class="s1">&#39;status_dir&#39;</span><span class="p">]</span>
+        <span class="n">node_config</span><span class="p">[</span><span class="s1">&#39;log_file&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">log_pattern</span> <span class="k">if</span> <span class="n">log_pattern</span> <span class="ow">is</span> <span class="kc">None</span>
+            <span class="k">else</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">normpath</span><span class="p">(</span><span class="n">log_pattern</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">node_index</span><span class="o">=</span><span class="n">i_node</span><span class="p">)))</span>
+        <span class="n">name</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;</span><span class="si">{}</span><span class="s1">_</span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">basename</span><span class="p">,</span> <span class="nb">str</span><span class="p">(</span><span class="n">i_node</span><span class="p">)</span><span class="o">.</span><span class="n">zfill</span><span class="p">(</span><span class="mi">6</span><span class="p">)))</span>
+        <span class="n">ctx</span><span class="o">.</span><span class="n">obj</span><span class="p">[</span><span class="s1">&#39;NAME&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">name</span>
+        <span class="n">node_config</span><span class="p">[</span><span class="s1">&#39;job_name&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">name</span>
+        <span class="n">node_config</span><span class="p">[</span><span class="s2">&quot;pipeline_step&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">pipeline_step</span>
+
+        <span class="n">cmd</span> <span class="o">=</span> <span class="n">BiasCalcClass</span><span class="o">.</span><span class="n">get_node_cmd</span><span class="p">(</span><span class="n">node_config</span><span class="p">)</span>
+
+        <span class="n">cmd_log</span> <span class="o">=</span> <span class="s1">&#39;</span><span class="se">\n\t</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">cmd</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;</span><span class="se">\n</span><span class="s1">&#39;</span><span class="p">))</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Running command:</span><span class="se">\n\t</span><span class="si">{</span><span class="n">cmd_log</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">hardware_option</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">in</span> <span class="n">AVAILABLE_HARDWARE_OPTIONS</span><span class="p">:</span>
+            <span class="n">kickoff_slurm_job</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">cmd</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="p">,</span> <span class="o">**</span><span class="n">exec_kwargs</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">kickoff_local_job</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">cmd</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="kickoff_slurm_job">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc_cli.kickoff_slurm_job.html#sup3r.bias.bias_calc_cli.kickoff_slurm_job">[docs]</a>
+<span class="k">def</span> <span class="nf">kickoff_slurm_job</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">cmd</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">alloc</span><span class="o">=</span><span class="s1">&#39;sup3r&#39;</span><span class="p">,</span>
+                      <span class="n">memory</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">walltime</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="n">feature</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+                      <span class="n">stdout_path</span><span class="o">=</span><span class="s1">&#39;./stdout/&#39;</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Run sup3r on HPC via SLURM job submission.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    ctx : click.pass_context</span>
+<span class="sd">        Click context object where ctx.obj is a dictionary</span>
+<span class="sd">    cmd : str</span>
+<span class="sd">        Command to be submitted in SLURM shell script. Example:</span>
+<span class="sd">            &#39;python -m sup3r.cli forward_pass -c &lt;config_file&gt;&#39;</span>
+<span class="sd">    pipeline_step : str, optional</span>
+<span class="sd">        Name of the pipeline step being run. If ``None``, the</span>
+<span class="sd">        ``pipeline_step`` will be set to the ``module_name``,</span>
+<span class="sd">        mimicking old reV behavior. By default, ``None``.</span>
+<span class="sd">    alloc : str</span>
+<span class="sd">        HPC project (allocation) handle. Example: &#39;sup3r&#39;.</span>
+<span class="sd">    memory : int</span>
+<span class="sd">        Node memory request in GB.</span>
+<span class="sd">    walltime : float</span>
+<span class="sd">        Node walltime request in hours.</span>
+<span class="sd">    feature : str</span>
+<span class="sd">        Additional flags for SLURM job. Format is &quot;--qos=high&quot;</span>
+<span class="sd">        or &quot;--depend=[state:job_id]&quot;. Default is None.</span>
+<span class="sd">    stdout_path : str</span>
+<span class="sd">        Path to print .stdout and .stderr files.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">BaseCLI</span><span class="o">.</span><span class="n">kickoff_slurm_job</span><span class="p">(</span><span class="n">ModuleName</span><span class="o">.</span><span class="n">BIAS_CALC</span><span class="p">,</span> <span class="n">ctx</span><span class="p">,</span> <span class="n">cmd</span><span class="p">,</span> <span class="n">alloc</span><span class="p">,</span> <span class="n">memory</span><span class="p">,</span>
+                              <span class="n">walltime</span><span class="p">,</span> <span class="n">feature</span><span class="p">,</span> <span class="n">stdout_path</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="kickoff_local_job">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc_cli.kickoff_local_job.html#sup3r.bias.bias_calc_cli.kickoff_local_job">[docs]</a>
+<span class="k">def</span> <span class="nf">kickoff_local_job</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">cmd</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Run sup3r bias calc locally.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    ctx : click.pass_context</span>
+<span class="sd">        Click context object where ctx.obj is a dictionary</span>
+<span class="sd">    cmd : str</span>
+<span class="sd">        Command to be submitted in shell script. Example:</span>
+<span class="sd">            &#39;python -m sup3r.cli forward_pass -c &lt;config_file&gt;&#39;</span>
+<span class="sd">    pipeline_step : str, optional</span>
+<span class="sd">        Name of the pipeline step being run. If ``None``, the</span>
+<span class="sd">        ``pipeline_step`` will be set to the ``module_name``,</span>
+<span class="sd">        mimicking old reV behavior. By default, ``None``.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">BaseCLI</span><span class="o">.</span><span class="n">kickoff_local_job</span><span class="p">(</span><span class="n">ModuleName</span><span class="o">.</span><span class="n">BIAS_CALC</span><span class="p">,</span> <span class="n">ctx</span><span class="p">,</span> <span class="n">cmd</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="p">)</span></div>
+
+
+
+<span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s1">&#39;__main__&#39;</span><span class="p">:</span>
+    <span class="k">try</span><span class="p">:</span>
+        <span class="n">main</span><span class="p">(</span><span class="n">obj</span><span class="o">=</span><span class="p">{})</span>
+    <span class="k">except</span> <span class="ne">Exception</span><span class="p">:</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">exception</span><span class="p">(</span><span class="s1">&#39;Error running sup3r bias calc CLI&#39;</span><span class="p">)</span>
+        <span class="k">raise</span>
+</pre></div>
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
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diff --git a/_modules/sup3r/bias/bias_calc_vortex.html b/_modules/sup3r/bias/bias_calc_vortex.html
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+<li class="toctree-l4"><a class="reference internal" href="../../../_autosummary/sup3r.bias.base.DataRetrievalBase.html">sup3r.bias.base.DataRetrievalBase</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../../../_autosummary/sup3r.bias.bias_calc.html">sup3r.bias.bias_calc</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../../../_autosummary/sup3r.bias.bias_calc.LinearCorrection.html">sup3r.bias.bias_calc.LinearCorrection</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../../_autosummary/sup3r.bias.bias_calc.MonthlyLinearCorrection.html">sup3r.bias.bias_calc.MonthlyLinearCorrection</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../../_autosummary/sup3r.bias.bias_calc.MonthlyScalarCorrection.html">sup3r.bias.bias_calc.MonthlyScalarCorrection</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../../_autosummary/sup3r.bias.bias_calc.ScalarCorrection.html">sup3r.bias.bias_calc.ScalarCorrection</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../../_autosummary/sup3r.bias.bias_calc.SkillAssessment.html">sup3r.bias.bias_calc.SkillAssessment</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../../../_autosummary/sup3r.bias.bias_calc_cli.html">sup3r.bias.bias_calc_cli</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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+<li class="toctree-l4"><a class="reference internal" href="../../../_autosummary/sup3r.bias.bias_calc_cli.kickoff_slurm_job.html">sup3r.bias.bias_calc_cli.kickoff_slurm_job</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../../../_autosummary/sup3r.bias.bias_calc_vortex.html">sup3r.bias.bias_calc_vortex</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../../../_autosummary/sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.html">sup3r.bias.bias_calc_vortex.BiasCorrectUpdate</a></li>
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+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1></h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <h1>Source code for sup3r.bias.bias_calc_vortex</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Classes to compute means from vortex and era data and compute bias</span>
+<span class="sd">correction factors.</span>
+
+<span class="sd">Vortex mean files can be downloaded from IRENA.</span>
+<span class="sd">https://globalatlas.irena.org/workspace</span>
+<span class="sd">&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">calendar</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+
+<span class="kn">import</span> <span class="nn">dask</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">xarray</span> <span class="k">as</span> <span class="nn">xr</span>
+<span class="kn">from</span> <span class="nn">rex</span> <span class="kn">import</span> <span class="n">Resource</span>
+<span class="kn">from</span> <span class="nn">scipy.interpolate</span> <span class="kn">import</span> <span class="n">interp1d</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.postprocessing</span> <span class="kn">import</span> <span class="n">OutputHandler</span><span class="p">,</span> <span class="n">RexOutputs</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="n">log_args</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities</span> <span class="kn">import</span> <span class="n">VERSION_RECORD</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="VortexMeanPrepper">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper">[docs]</a>
+<span class="k">class</span> <span class="nc">VortexMeanPrepper</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Class for converting monthly vortex tif files for each height to a</span>
+<span class="sd">    single h5 files containing all monthly means for all requested output</span>
+<span class="sd">    heights.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="nd">@log_args</span>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">path_pattern</span><span class="p">,</span> <span class="n">in_heights</span><span class="p">,</span> <span class="n">out_heights</span><span class="p">,</span> <span class="n">overwrite</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        path_pattern : str</span>
+<span class="sd">            Pattern for input tif files. Needs to include {month} and {height}</span>
+<span class="sd">            format keys.</span>
+<span class="sd">        in_heights : list</span>
+<span class="sd">            List of heights for input files.</span>
+<span class="sd">        out_heights : list</span>
+<span class="sd">            List of output heights used for interpolation</span>
+<span class="sd">        overwrite : bool</span>
+<span class="sd">            Whether to overwrite intermediate netcdf files containing the</span>
+<span class="sd">            interpolated masked monthly means.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;path_pattern needs to have </span><span class="si">{month}</span><span class="s1"> and </span><span class="si">{height}</span><span class="s1"> format keys&#39;</span>
+        <span class="k">assert</span> <span class="s1">&#39;</span><span class="si">{month}</span><span class="s1">&#39;</span> <span class="ow">in</span> <span class="n">path_pattern</span> <span class="ow">and</span> <span class="s1">&#39;</span><span class="si">{height}</span><span class="s1">&#39;</span> <span class="ow">in</span> <span class="n">path_pattern</span><span class="p">,</span> <span class="n">msg</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">path_pattern</span> <span class="o">=</span> <span class="n">path_pattern</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">in_heights</span> <span class="o">=</span> <span class="n">in_heights</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">out_heights</span> <span class="o">=</span> <span class="n">out_heights</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">out_dir</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">path_pattern</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">overwrite</span> <span class="o">=</span> <span class="n">overwrite</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_mask</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_meta</span> <span class="o">=</span> <span class="kc">None</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">in_features</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;List of features corresponding to input heights.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">[</span><span class="sa">f</span><span class="s1">&#39;windspeed_</span><span class="si">{</span><span class="n">h</span><span class="si">}</span><span class="s1">m&#39;</span> <span class="k">for</span> <span class="n">h</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">in_heights</span><span class="p">]</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">out_features</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;List of features corresponding to output heights&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">[</span><span class="sa">f</span><span class="s1">&#39;windspeed_</span><span class="si">{</span><span class="n">h</span><span class="si">}</span><span class="s1">m&#39;</span> <span class="k">for</span> <span class="n">h</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">out_heights</span><span class="p">]</span>
+
+<div class="viewcode-block" id="VortexMeanPrepper.get_input_file">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_input_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_input_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">month</span><span class="p">,</span> <span class="n">height</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get vortex tif file for given month and height.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">path_pattern</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">month</span><span class="o">=</span><span class="n">month</span><span class="p">,</span> <span class="n">height</span><span class="o">=</span><span class="n">height</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="VortexMeanPrepper.get_height_files">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_height_files">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_height_files</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">month</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get set of netcdf files for given month&quot;&quot;&quot;</span>
+        <span class="n">files</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">for</span> <span class="n">height</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">in_heights</span><span class="p">:</span>
+            <span class="n">infile</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_input_file</span><span class="p">(</span><span class="n">month</span><span class="p">,</span> <span class="n">height</span><span class="p">)</span>
+            <span class="n">outfile</span> <span class="o">=</span> <span class="n">infile</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;.tif&#39;</span><span class="p">,</span> <span class="s1">&#39;.nc&#39;</span><span class="p">)</span>
+            <span class="n">files</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">outfile</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">files</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">input_files</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get list of all input files used for h5 meta.&quot;&quot;&quot;</span>
+        <span class="n">files</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">for</span> <span class="n">height</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">in_heights</span><span class="p">:</span>
+            <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">13</span><span class="p">):</span>
+                <span class="n">month</span> <span class="o">=</span> <span class="n">calendar</span><span class="o">.</span><span class="n">month_name</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
+                <span class="n">files</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">get_input_file</span><span class="p">(</span><span class="n">month</span><span class="p">,</span> <span class="n">height</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">files</span>
+
+<div class="viewcode-block" id="VortexMeanPrepper.get_output_file">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_output_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_output_file</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">month</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get name of netcdf file for a given month.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">out_dir</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">{month}</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">month</span><span class="p">),</span> <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">month</span><span class="si">}</span><span class="s1">.nc&#39;</span>
+        <span class="p">)</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">output_files</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;List of output monthly output files each with windspeed for all</span>
+<span class="sd">        input heights</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">files</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">13</span><span class="p">):</span>
+            <span class="n">month</span> <span class="o">=</span> <span class="n">calendar</span><span class="o">.</span><span class="n">month_name</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
+            <span class="n">files</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">get_output_file</span><span class="p">(</span><span class="n">month</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">files</span>
+
+<div class="viewcode-block" id="VortexMeanPrepper.convert_month_height_tif">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.convert_month_height_tif">[docs]</a>
+    <span class="k">def</span> <span class="nf">convert_month_height_tif</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">month</span><span class="p">,</span> <span class="n">height</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get windspeed mean for the given month and hub height from the</span>
+<span class="sd">        corresponding input file and write this to a netcdf file.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">infile</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_input_file</span><span class="p">(</span><span class="n">month</span><span class="p">,</span> <span class="n">height</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Getting mean windspeed_</span><span class="si">{</span><span class="n">height</span><span class="si">}</span><span class="s1">m for </span><span class="si">{</span><span class="n">month</span><span class="si">}</span><span class="s1">.&#39;</span><span class="p">)</span>
+        <span class="n">outfile</span> <span class="o">=</span> <span class="n">infile</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;.tif&#39;</span><span class="p">,</span> <span class="s1">&#39;.nc&#39;</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">outfile</span><span class="p">)</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">overwrite</span><span class="p">:</span>
+            <span class="n">os</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="n">outfile</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">outfile</span><span class="p">)</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">overwrite</span><span class="p">:</span>
+            <span class="n">ds</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">open_mfdataset</span><span class="p">(</span><span class="n">infile</span><span class="p">)</span>
+            <span class="n">ds</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span>
+                <span class="p">{</span>
+                    <span class="s1">&#39;band_data&#39;</span><span class="p">:</span> <span class="sa">f</span><span class="s1">&#39;windspeed_</span><span class="si">{</span><span class="n">height</span><span class="si">}</span><span class="s1">m&#39;</span><span class="p">,</span>
+                    <span class="s1">&#39;x&#39;</span><span class="p">:</span> <span class="s1">&#39;longitude&#39;</span><span class="p">,</span>
+                    <span class="s1">&#39;y&#39;</span><span class="p">:</span> <span class="s1">&#39;latitude&#39;</span><span class="p">,</span>
+                <span class="p">}</span>
+            <span class="p">)</span>
+            <span class="n">ds</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="n">band</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span><span class="o">.</span><span class="n">drop_vars</span><span class="p">(</span><span class="s1">&#39;band&#39;</span><span class="p">)</span>
+            <span class="n">ds</span><span class="o">.</span><span class="n">to_netcdf</span><span class="p">(</span><span class="n">outfile</span><span class="p">,</span> <span class="nb">format</span><span class="o">=</span><span class="s1">&#39;NETCDF4&#39;</span><span class="p">,</span> <span class="n">engine</span><span class="o">=</span><span class="s1">&#39;h5netcdf&#39;</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">outfile</span></div>
+
+
+<div class="viewcode-block" id="VortexMeanPrepper.convert_month_tif">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.convert_month_tif">[docs]</a>
+    <span class="k">def</span> <span class="nf">convert_month_tif</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">month</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Write netcdf files for all heights for the given month.&quot;&quot;&quot;</span>
+        <span class="k">for</span> <span class="n">height</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">in_heights</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">convert_month_height_tif</span><span class="p">(</span><span class="n">month</span><span class="p">,</span> <span class="n">height</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="VortexMeanPrepper.convert_all_tifs">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.convert_all_tifs">[docs]</a>
+    <span class="k">def</span> <span class="nf">convert_all_tifs</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Write netcdf files for all heights for all months.&quot;&quot;&quot;</span>
+        <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">13</span><span class="p">):</span>
+            <span class="n">month</span> <span class="o">=</span> <span class="n">calendar</span><span class="o">.</span><span class="n">month_name</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Converting tif files to netcdf files for </span><span class="si">{</span><span class="n">month</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">convert_month_tif</span><span class="p">(</span><span class="n">month</span><span class="p">)</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">mask</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Mask coordinates without data&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_mask</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">with</span> <span class="n">xr</span><span class="o">.</span><span class="n">open_mfdataset</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">get_height_files</span><span class="p">(</span><span class="s1">&#39;January&#39;</span><span class="p">))</span> <span class="k">as</span> <span class="n">res</span><span class="p">:</span>
+                <span class="n">mask</span> <span class="o">=</span> <span class="p">(</span><span class="n">res</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">in_features</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span> <span class="o">!=</span> <span class="o">-</span><span class="mi">999</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span>
+                    <span class="o">~</span><span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">res</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">in_features</span><span class="p">[</span><span class="mi">0</span><span class="p">]])</span>
+                <span class="p">)</span>
+                <span class="k">for</span> <span class="n">feat</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">in_features</span><span class="p">[</span><span class="mi">1</span><span class="p">:]:</span>
+                    <span class="n">tmp</span> <span class="o">=</span> <span class="p">(</span><span class="n">res</span><span class="p">[</span><span class="n">feat</span><span class="p">]</span> <span class="o">!=</span> <span class="o">-</span><span class="mi">999</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="o">~</span><span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">res</span><span class="p">[</span><span class="n">feat</span><span class="p">]))</span>
+                    <span class="n">mask</span> <span class="o">&amp;=</span> <span class="n">tmp</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_mask</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">mask</span><span class="p">)</span><span class="o">.</span><span class="n">flatten</span><span class="p">()</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_mask</span>
+
+<div class="viewcode-block" id="VortexMeanPrepper.get_month">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_month">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_month</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">month</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get interpolated means for all hub heights for the given month.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        month : str</span>
+<span class="sd">            Name of month to get data for</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        data : xarray.Dataset</span>
+<span class="sd">            xarray dataset object containing interpolated monthly windspeed</span>
+<span class="sd">            means for all input and output heights</span>
+
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">month_file</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_output_file</span><span class="p">(</span><span class="n">month</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">month_file</span><span class="p">)</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">overwrite</span><span class="p">:</span>
+            <span class="n">os</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="n">month_file</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">month_file</span><span class="p">)</span> <span class="ow">and</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">overwrite</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Loading month_file </span><span class="si">{</span><span class="n">month_file</span><span class="si">}</span><span class="s1">.&#39;</span><span class="p">)</span>
+            <span class="n">data</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">open_mfdataset</span><span class="p">(</span><span class="n">month_file</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="s1">&#39;Getting mean windspeed for all heights &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;(</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">in_heights</span><span class="si">}</span><span class="s1">) for </span><span class="si">{</span><span class="n">month</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="p">)</span>
+            <span class="n">data</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">open_mfdataset</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">get_height_files</span><span class="p">(</span><span class="n">month</span><span class="p">))</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="s1">&#39;Interpolating windspeed for all heights &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;(</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">out_heights</span><span class="si">}</span><span class="s1">) for </span><span class="si">{</span><span class="n">month</span><span class="si">}</span><span class="s1">.&#39;</span>
+            <span class="p">)</span>
+            <span class="n">data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">interp</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+            <span class="n">data</span><span class="o">.</span><span class="n">to_netcdf</span><span class="p">(</span><span class="n">month_file</span><span class="p">,</span> <span class="nb">format</span><span class="o">=</span><span class="s1">&#39;NETCDF4&#39;</span><span class="p">,</span> <span class="n">engine</span><span class="o">=</span><span class="s1">&#39;h5netcdf&#39;</span><span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="s1">&#39;Saved interpolated means for all heights for &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">month</span><span class="si">}</span><span class="s1"> to </span><span class="si">{</span><span class="n">month_file</span><span class="si">}</span><span class="s1">.&#39;</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="n">data</span></div>
+
+
+<div class="viewcode-block" id="VortexMeanPrepper.interp">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.interp">[docs]</a>
+    <span class="k">def</span> <span class="nf">interp</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Interpolate data to requested output heights.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        data : xarray.Dataset</span>
+<span class="sd">            xarray dataset object containing windspeed for all input heights</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        data : xarray.Dataset</span>
+<span class="sd">            xarray dataset object containing windspeed for all input and output</span>
+<span class="sd">            heights</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">var_array</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span>
+            <span class="p">(</span>
+                <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">latitude</span><span class="p">)</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">longitude</span><span class="p">),</span>
+                <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">in_heights</span><span class="p">),</span>
+            <span class="p">),</span>
+            <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="n">lev_array</span> <span class="o">=</span> <span class="n">var_array</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+        <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="p">(</span><span class="n">h</span><span class="p">,</span> <span class="n">feat</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">in_heights</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">in_features</span><span class="p">)):</span>
+            <span class="n">var_array</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">feat</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="o">.</span><span class="n">flatten</span><span class="p">()</span>
+            <span class="n">lev_array</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="n">h</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Interpolating </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">in_features</span><span class="si">}</span><span class="s1"> to </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">out_features</span><span class="si">}</span><span class="s1"> &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;for </span><span class="si">{</span><span class="n">var_array</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="si">}</span><span class="s1"> coordinates.&#39;</span>
+        <span class="p">)</span>
+        <span class="n">tmp</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="n">interp1d</span><span class="p">(</span><span class="n">h</span><span class="p">,</span> <span class="n">v</span><span class="p">,</span> <span class="n">fill_value</span><span class="o">=</span><span class="s1">&#39;extrapolate&#39;</span><span class="p">)(</span><span class="bp">self</span><span class="o">.</span><span class="n">out_heights</span><span class="p">)</span>
+            <span class="k">for</span> <span class="n">h</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">lev_array</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">mask</span><span class="p">],</span> <span class="n">var_array</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">mask</span><span class="p">])</span>
+        <span class="p">]</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">full</span><span class="p">(</span>
+            <span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">latitude</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">longitude</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">out_heights</span><span class="p">)),</span>
+            <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">,</span>
+            <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="n">out</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">mask</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">latitude</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">longitude</span><span class="p">)))]</span> <span class="o">=</span> <span class="n">tmp</span>
+        <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">feat</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">out_features</span><span class="p">):</span>
+            <span class="k">if</span> <span class="n">feat</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">data</span><span class="p">:</span>
+                <span class="n">data</span><span class="p">[</span><span class="n">feat</span><span class="p">]</span> <span class="o">=</span> <span class="p">((</span><span class="s1">&#39;latitude&#39;</span><span class="p">,</span> <span class="s1">&#39;longitude&#39;</span><span class="p">),</span> <span class="n">out</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">i</span><span class="p">])</span>
+        <span class="k">return</span> <span class="n">data</span></div>
+
+
+<div class="viewcode-block" id="VortexMeanPrepper.get_lat_lon">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_lat_lon">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_lat_lon</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get lat lon grid&quot;&quot;&quot;</span>
+        <span class="k">with</span> <span class="n">xr</span><span class="o">.</span><span class="n">open_mfdataset</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">get_height_files</span><span class="p">(</span><span class="s1">&#39;January&#39;</span><span class="p">))</span> <span class="k">as</span> <span class="n">res</span><span class="p">:</span>
+            <span class="n">lons</span><span class="p">,</span> <span class="n">lats</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">meshgrid</span><span class="p">(</span>
+                <span class="n">res</span><span class="p">[</span><span class="s1">&#39;longitude&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="p">,</span> <span class="n">res</span><span class="p">[</span><span class="s1">&#39;latitude&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">lats</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">lons</span><span class="p">)</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">meta</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get meta with latitude/longitude&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_meta</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">lats</span><span class="p">,</span> <span class="n">lons</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_lat_lon</span><span class="p">()</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_meta</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">()</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_meta</span><span class="p">[</span><span class="s1">&#39;latitude&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">lats</span><span class="o">.</span><span class="n">flatten</span><span class="p">()[</span><span class="bp">self</span><span class="o">.</span><span class="n">mask</span><span class="p">]</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_meta</span><span class="p">[</span><span class="s1">&#39;longitude&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">lons</span><span class="o">.</span><span class="n">flatten</span><span class="p">()[</span><span class="bp">self</span><span class="o">.</span><span class="n">mask</span><span class="p">]</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_meta</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">time_index</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get time index so output conforms to standard format&quot;&quot;&quot;</span>
+        <span class="n">times</span> <span class="o">=</span> <span class="p">[</span><span class="sa">f</span><span class="s1">&#39;2000-</span><span class="si">{</span><span class="nb">str</span><span class="p">(</span><span class="n">i</span><span class="p">)</span><span class="o">.</span><span class="n">zfill</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span><span class="si">}</span><span class="s1">&#39;</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">13</span><span class="p">)]</span>
+        <span class="n">time_index</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DatetimeIndex</span><span class="p">(</span><span class="n">times</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">time_index</span>
+
+<div class="viewcode-block" id="VortexMeanPrepper.get_all_data">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_all_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_all_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get interpolated monthly means for all out heights as a dictionary</span>
+<span class="sd">        to use for h5 writing.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out : dict</span>
+<span class="sd">            Dictionary of arrays containing monthly means for each hub height.</span>
+<span class="sd">            Also includes latitude and longitude. Spatial dimensions are</span>
+<span class="sd">            flattened</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">data_dict</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="n">s_num</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="p">)</span>
+        <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">13</span><span class="p">):</span>
+            <span class="n">month</span> <span class="o">=</span> <span class="n">calendar</span><span class="o">.</span><span class="n">month_name</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
+            <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_month</span><span class="p">(</span><span class="n">month</span><span class="p">)</span>
+            <span class="k">for</span> <span class="n">feat</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">out_features</span><span class="p">:</span>
+                <span class="k">if</span> <span class="n">feat</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">data_dict</span><span class="p">:</span>
+                    <span class="n">data_dict</span><span class="p">[</span><span class="n">feat</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">full</span><span class="p">((</span><span class="n">s_num</span><span class="p">,</span> <span class="mi">12</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">)</span>
+                <span class="n">data</span> <span class="o">=</span> <span class="n">out</span><span class="p">[</span><span class="n">feat</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="o">.</span><span class="n">flatten</span><span class="p">()[</span><span class="bp">self</span><span class="o">.</span><span class="n">mask</span><span class="p">]</span>
+                <span class="n">data_dict</span><span class="p">[</span><span class="n">feat</span><span class="p">][</span><span class="o">...</span><span class="p">,</span> <span class="n">i</span> <span class="o">-</span> <span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span>
+        <span class="k">return</span> <span class="n">data_dict</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">global_attrs</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get dictionary on how this data is prepared&quot;&quot;&quot;</span>
+        <span class="n">attrs</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="s1">&#39;input_files&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_files</span><span class="p">,</span>
+            <span class="s1">&#39;class&#39;</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="p">),</span>
+            <span class="s1">&#39;version_record&#39;</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">VERSION_RECORD</span><span class="p">),</span>
+        <span class="p">}</span>
+        <span class="k">return</span> <span class="n">attrs</span>
+
+<div class="viewcode-block" id="VortexMeanPrepper.write_data">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.write_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">write_data</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">fp_out</span><span class="p">,</span> <span class="n">out</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Write monthly means for all heights to h5 file&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">fp_out</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">fp_out</span><span class="p">)):</span>
+                <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">fp_out</span><span class="p">),</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+            <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">fp_out</span><span class="p">)</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">overwrite</span><span class="p">:</span>
+                <span class="n">OutputHandler</span><span class="o">.</span><span class="n">_init_h5</span><span class="p">(</span>
+                    <span class="n">fp_out</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">time_index</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">global_attrs</span>
+                <span class="p">)</span>
+                <span class="k">with</span> <span class="n">RexOutputs</span><span class="p">(</span><span class="n">fp_out</span><span class="p">,</span> <span class="s1">&#39;a&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+                    <span class="k">for</span> <span class="n">dset</span><span class="p">,</span> <span class="n">data</span> <span class="ow">in</span> <span class="n">out</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                        <span class="n">OutputHandler</span><span class="o">.</span><span class="n">_ensure_dset_in_output</span><span class="p">(</span><span class="n">fp_out</span><span class="p">,</span> <span class="n">dset</span><span class="p">)</span>
+                        <span class="n">f</span><span class="p">[</span><span class="n">dset</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">T</span>
+                        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Added </span><span class="si">{</span><span class="n">dset</span><span class="si">}</span><span class="s1"> to </span><span class="si">{</span><span class="n">fp_out</span><span class="si">}</span><span class="s1">.&#39;</span><span class="p">)</span>
+
+                    <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                        <span class="sa">f</span><span class="s1">&#39;Wrote monthly means for all out heights: </span><span class="si">{</span><span class="n">fp_out</span><span class="si">}</span><span class="s1">&#39;</span>
+                    <span class="p">)</span>
+            <span class="k">elif</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">fp_out</span><span class="p">):</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">fp_out</span><span class="si">}</span><span class="s1"> already exists and overwrite=False.&#39;</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="VortexMeanPrepper.run">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.run">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">run</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span> <span class="n">path_pattern</span><span class="p">,</span> <span class="n">in_heights</span><span class="p">,</span> <span class="n">out_heights</span><span class="p">,</span> <span class="n">fp_out</span><span class="p">,</span> <span class="n">overwrite</span><span class="o">=</span><span class="kc">False</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Read vortex tif files, convert these to monthly netcdf files for all</span>
+<span class="sd">        input heights, interpolate this data to requested output heights, mask</span>
+<span class="sd">        fill values, and write all data to h5 file.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        path_pattern : str</span>
+<span class="sd">            Pattern for input tif files. Needs to include {month} and {height}</span>
+<span class="sd">            format keys.</span>
+<span class="sd">        in_heights : list</span>
+<span class="sd">            List of heights for input files.</span>
+<span class="sd">        out_heights : list</span>
+<span class="sd">            List of output heights used for interpolation</span>
+<span class="sd">        fp_out : str</span>
+<span class="sd">            Name of final h5 output file to write with means.</span>
+<span class="sd">        overwrite : bool</span>
+<span class="sd">            Whether to overwrite intermediate netcdf files containing the</span>
+<span class="sd">            interpolated masked monthly means.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">vprep</span> <span class="o">=</span> <span class="bp">cls</span><span class="p">(</span><span class="n">path_pattern</span><span class="p">,</span> <span class="n">in_heights</span><span class="p">,</span> <span class="n">out_heights</span><span class="p">,</span> <span class="n">overwrite</span><span class="o">=</span><span class="n">overwrite</span><span class="p">)</span>
+        <span class="n">vprep</span><span class="o">.</span><span class="n">convert_all_tifs</span><span class="p">()</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="n">vprep</span><span class="o">.</span><span class="n">get_all_data</span><span class="p">()</span>
+        <span class="n">vprep</span><span class="o">.</span><span class="n">write_data</span><span class="p">(</span><span class="n">fp_out</span><span class="p">,</span> <span class="n">out</span><span class="p">)</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="BiasCorrectUpdate">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.html#sup3r.bias.bias_calc_vortex.BiasCorrectUpdate">[docs]</a>
+<span class="k">class</span> <span class="nc">BiasCorrectUpdate</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Class for bias correcting existing files and writing corrected files.&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="BiasCorrectUpdate.get_bc_factors">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.html#sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.get_bc_factors">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">get_bc_factors</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">bc_file</span><span class="p">,</span> <span class="n">dset</span><span class="p">,</span> <span class="n">month</span><span class="p">,</span> <span class="n">global_scalar</span><span class="o">=</span><span class="mi">1</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get bias correction factors for the given dset and month</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        bc_file : str</span>
+<span class="sd">            Name of h5 file containing bias correction factors</span>
+<span class="sd">        dset : str</span>
+<span class="sd">            Name of dataset to apply bias correction factors for</span>
+<span class="sd">        month : int</span>
+<span class="sd">            Index of month to bias correct</span>
+<span class="sd">        global_scalar : float</span>
+<span class="sd">            Optional global scalar to multiply all bias correction</span>
+<span class="sd">            factors. This can be used to improve systemic bias against</span>
+<span class="sd">            observation data.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        factors : ndarray</span>
+<span class="sd">            Array of bias correction factors for the given dset and month.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">with</span> <span class="n">Resource</span><span class="p">(</span><span class="n">bc_file</span><span class="p">)</span> <span class="k">as</span> <span class="n">res</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;Getting </span><span class="si">{</span><span class="n">dset</span><span class="si">}</span><span class="s1"> bias correction factors for month </span><span class="si">{</span><span class="n">month</span><span class="si">}</span><span class="s1">.&#39;</span>
+            <span class="p">)</span>
+            <span class="n">bc_factor</span> <span class="o">=</span> <span class="n">res</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">dset</span><span class="si">}</span><span class="s1">_scalar&#39;</span><span class="p">,</span> <span class="p">:,</span> <span class="n">month</span> <span class="o">-</span> <span class="mi">1</span><span class="p">]</span>
+            <span class="n">factors</span> <span class="o">=</span> <span class="n">global_scalar</span> <span class="o">*</span> <span class="n">bc_factor</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;Retrieved </span><span class="si">{</span><span class="n">dset</span><span class="si">}</span><span class="s1"> bias correction factors for month </span><span class="si">{</span><span class="n">month</span><span class="si">}</span><span class="s1">. &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;Using global_scalar=</span><span class="si">{</span><span class="n">global_scalar</span><span class="si">}</span><span class="s1">.&#39;</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="n">factors</span></div>
+
+
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">_correct_month</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span> <span class="n">fh_in</span><span class="p">,</span> <span class="n">month</span><span class="p">,</span> <span class="n">out_file</span><span class="p">,</span> <span class="n">dset</span><span class="p">,</span> <span class="n">bc_file</span><span class="p">,</span> <span class="n">global_scalar</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Bias correct data for a given month.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        fh_in : Resource()</span>
+<span class="sd">            Resource handler for input file being corrected</span>
+<span class="sd">        month : int</span>
+<span class="sd">            Index of month to be corrected</span>
+<span class="sd">        out_file : str</span>
+<span class="sd">            Name of h5 file containing bias corrected data</span>
+<span class="sd">        dset : str</span>
+<span class="sd">            Name of dataset to bias correct</span>
+<span class="sd">        bc_file : str</span>
+<span class="sd">            Name of file containing bias correction factors for the given dset</span>
+<span class="sd">        global_scalar : float</span>
+<span class="sd">            Optional global scalar to multiply all bias correction</span>
+<span class="sd">            factors. This can be used to improve systemic bias against</span>
+<span class="sd">            observation data.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">with</span> <span class="n">RexOutputs</span><span class="p">(</span><span class="n">out_file</span><span class="p">,</span> <span class="s1">&#39;a&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">fh</span><span class="p">:</span>
+            <span class="n">mask</span> <span class="o">=</span> <span class="n">fh</span><span class="o">.</span><span class="n">time_index</span><span class="o">.</span><span class="n">month</span> <span class="o">==</span> <span class="n">month</span>
+            <span class="n">mask</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">fh</span><span class="o">.</span><span class="n">time_index</span><span class="p">))[</span><span class="n">mask</span><span class="p">]</span>
+            <span class="n">mask</span> <span class="o">=</span> <span class="nb">slice</span><span class="p">(</span><span class="n">mask</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">mask</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+            <span class="n">bc_factors</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_bc_factors</span><span class="p">(</span>
+                <span class="n">bc_file</span><span class="o">=</span><span class="n">bc_file</span><span class="p">,</span>
+                <span class="n">dset</span><span class="o">=</span><span class="n">dset</span><span class="p">,</span>
+                <span class="n">month</span><span class="o">=</span><span class="n">month</span><span class="p">,</span>
+                <span class="n">global_scalar</span><span class="o">=</span><span class="n">global_scalar</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Applying bias correction factors for month </span><span class="si">{</span><span class="n">month</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+            <span class="n">fh</span><span class="p">[</span><span class="n">dset</span><span class="p">,</span> <span class="n">mask</span><span class="p">,</span> <span class="p">:]</span> <span class="o">=</span> <span class="n">bc_factors</span> <span class="o">*</span> <span class="n">fh_in</span><span class="p">[</span><span class="n">dset</span><span class="p">,</span> <span class="n">mask</span><span class="p">,</span> <span class="p">:]</span>
+
+<div class="viewcode-block" id="BiasCorrectUpdate.update_file">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.html#sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.update_file">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">update_file</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">in_file</span><span class="p">,</span>
+        <span class="n">out_file</span><span class="p">,</span>
+        <span class="n">dset</span><span class="p">,</span>
+        <span class="n">bc_file</span><span class="p">,</span>
+        <span class="n">global_scalar</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+        <span class="n">max_workers</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Update the in_file with bias corrected values for the given dset</span>
+<span class="sd">        and write to out_file.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        in_file : str</span>
+<span class="sd">            Name of h5 file containing data to bias correct</span>
+<span class="sd">        out_file : str</span>
+<span class="sd">            Name of h5 file containing bias corrected data</span>
+<span class="sd">        dset : str</span>
+<span class="sd">            Name of dataset to bias correct</span>
+<span class="sd">        bc_file : str</span>
+<span class="sd">            Name of file containing bias correction factors for the given dset</span>
+<span class="sd">        global_scalar : float</span>
+<span class="sd">            Optional global scalar to multiply all bias correction</span>
+<span class="sd">            factors. This can be used to improve systemic bias against</span>
+<span class="sd">            observation data.</span>
+<span class="sd">        max_workers : int | None</span>
+<span class="sd">            Number of workers to use for parallel processing.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">tmp_file</span> <span class="o">=</span> <span class="n">out_file</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;.h5&#39;</span><span class="p">,</span> <span class="s1">&#39;.h5.tmp&#39;</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Bias correcting </span><span class="si">{</span><span class="n">dset</span><span class="si">}</span><span class="s1"> in </span><span class="si">{</span><span class="n">in_file</span><span class="si">}</span><span class="s1"> with </span><span class="si">{</span><span class="n">bc_file</span><span class="si">}</span><span class="s1">.&#39;</span><span class="p">)</span>
+        <span class="k">with</span> <span class="n">Resource</span><span class="p">(</span><span class="n">in_file</span><span class="p">)</span> <span class="k">as</span> <span class="n">fh_in</span><span class="p">:</span>
+            <span class="n">OutputHandler</span><span class="o">.</span><span class="n">_init_h5</span><span class="p">(</span>
+                <span class="n">tmp_file</span><span class="p">,</span> <span class="n">fh_in</span><span class="o">.</span><span class="n">time_index</span><span class="p">,</span> <span class="n">fh_in</span><span class="o">.</span><span class="n">meta</span><span class="p">,</span> <span class="n">fh_in</span><span class="o">.</span><span class="n">global_attrs</span>
+            <span class="p">)</span>
+            <span class="n">OutputHandler</span><span class="o">.</span><span class="n">_ensure_dset_in_output</span><span class="p">(</span><span class="n">tmp_file</span><span class="p">,</span> <span class="n">dset</span><span class="p">)</span>
+
+            <span class="n">tasks</span> <span class="o">=</span> <span class="p">[]</span>
+            <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">13</span><span class="p">):</span>
+                <span class="n">task</span> <span class="o">=</span> <span class="n">dask</span><span class="o">.</span><span class="n">delayed</span><span class="p">(</span><span class="bp">cls</span><span class="o">.</span><span class="n">_correct_month</span><span class="p">)(</span>
+                    <span class="n">fh_in</span><span class="p">,</span>
+                    <span class="n">month</span><span class="o">=</span><span class="n">i</span><span class="p">,</span>
+                    <span class="n">out_file</span><span class="o">=</span><span class="n">tmp_file</span><span class="p">,</span>
+                    <span class="n">dset</span><span class="o">=</span><span class="n">dset</span><span class="p">,</span>
+                    <span class="n">bc_file</span><span class="o">=</span><span class="n">bc_file</span><span class="p">,</span>
+                    <span class="n">global_scalar</span><span class="o">=</span><span class="n">global_scalar</span><span class="p">,</span>
+                <span class="p">)</span>
+                <span class="n">tasks</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">task</span><span class="p">)</span>
+
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Added </span><span class="si">%s</span><span class="s1"> bias correction futures&#39;</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">tasks</span><span class="p">))</span>
+            <span class="k">if</span> <span class="n">max_workers</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+                <span class="n">dask</span><span class="o">.</span><span class="n">compute</span><span class="p">(</span><span class="o">*</span><span class="n">tasks</span><span class="p">,</span> <span class="n">scheduler</span><span class="o">=</span><span class="s1">&#39;single-threaded&#39;</span><span class="p">)</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">dask</span><span class="o">.</span><span class="n">compute</span><span class="p">(</span>
+                    <span class="o">*</span><span class="n">tasks</span><span class="p">,</span> <span class="n">scheduler</span><span class="o">=</span><span class="s1">&#39;threads&#39;</span><span class="p">,</span> <span class="n">num_workers</span><span class="o">=</span><span class="n">max_workers</span>
+                <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Finished bias correcting </span><span class="si">%s</span><span class="s1"> in </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">dset</span><span class="p">,</span> <span class="n">in_file</span><span class="p">)</span>
+
+        <span class="n">os</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">tmp_file</span><span class="p">,</span> <span class="n">out_file</span><span class="p">)</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;Saved bias corrected </span><span class="si">{</span><span class="n">dset</span><span class="si">}</span><span class="s1"> to: </span><span class="si">{</span><span class="n">out_file</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="BiasCorrectUpdate.run">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.html#sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.run">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">run</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">in_file</span><span class="p">,</span>
+        <span class="n">out_file</span><span class="p">,</span>
+        <span class="n">dset</span><span class="p">,</span>
+        <span class="n">bc_file</span><span class="p">,</span>
+        <span class="n">overwrite</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+        <span class="n">global_scalar</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+        <span class="n">max_workers</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Run bias correction update.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        in_file : str</span>
+<span class="sd">            Name of h5 file containing data to bias correct</span>
+<span class="sd">        out_file : str</span>
+<span class="sd">            Name of h5 file containing bias corrected data</span>
+<span class="sd">        dset : str</span>
+<span class="sd">            Name of dataset to bias correct</span>
+<span class="sd">        bc_file : str</span>
+<span class="sd">            Name of file containing bias correction factors for the given dset</span>
+<span class="sd">        overwrite : bool</span>
+<span class="sd">            Whether to overwrite the output file if it already exists.</span>
+<span class="sd">        global_scalar : float</span>
+<span class="sd">            Optional global scalar to multiply all bias correction</span>
+<span class="sd">            factors. This can be used to improve systemic bias against</span>
+<span class="sd">            observation data.</span>
+<span class="sd">        max_workers : int | None</span>
+<span class="sd">            Number of workers to use for parallel processing.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">out_file</span><span class="p">)</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">overwrite</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">out_file</span><span class="si">}</span><span class="s1"> already exists and overwrite=False. Skipping.&#39;</span>
+            <span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">out_file</span><span class="p">)</span> <span class="ow">and</span> <span class="n">overwrite</span><span class="p">:</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">out_file</span><span class="si">}</span><span class="s1"> exists but overwrite=True. &#39;</span>
+                    <span class="sa">f</span><span class="s1">&#39;Removing </span><span class="si">{</span><span class="n">out_file</span><span class="si">}</span><span class="s1">.&#39;</span>
+                <span class="p">)</span>
+                <span class="n">os</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="n">out_file</span><span class="p">)</span>
+            <span class="bp">cls</span><span class="o">.</span><span class="n">update_file</span><span class="p">(</span>
+                <span class="n">in_file</span><span class="p">,</span>
+                <span class="n">out_file</span><span class="p">,</span>
+                <span class="n">dset</span><span class="p">,</span>
+                <span class="n">bc_file</span><span class="p">,</span>
+                <span class="n">global_scalar</span><span class="o">=</span><span class="n">global_scalar</span><span class="p">,</span>
+                <span class="n">max_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">,</span>
+            <span class="p">)</span></div>
+</div>
+
+</pre></div>
+
+                </article>
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diff --git a/_modules/sup3r/bias/bias_transforms.html b/_modules/sup3r/bias/bias_transforms.html
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+    <h1></h1>
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+  <h1>Source code for sup3r.bias.bias_transforms</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Bias correction transformation functions.</span>
+
+<span class="sd">TODO: These methods need to be refactored to use lazy calculations. They</span>
+<span class="sd">currently slow down the forward pass runs when operating on full input data</span>
+<span class="sd">volume.</span>
+
+<span class="sd">We should write bc factor files in a format compatible with Loaders /</span>
+<span class="sd">Rasterizers so we can use those class methods to match factors with locations</span>
+<span class="sd">&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Union</span>
+<span class="kn">from</span> <span class="nn">warnings</span> <span class="kn">import</span> <span class="n">warn</span>
+
+<span class="kn">import</span> <span class="nn">dask.array</span> <span class="k">as</span> <span class="nn">da</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">from</span> <span class="nn">rex.utilities.bc_utils</span> <span class="kn">import</span> <span class="n">QuantileDeltaMapping</span>
+<span class="kn">from</span> <span class="nn">scipy.ndimage</span> <span class="kn">import</span> <span class="n">gaussian_filter</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing</span> <span class="kn">import</span> <span class="n">Rasterizer</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="n">make_time_index_from_kws</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<span class="k">def</span> <span class="nf">_get_factors</span><span class="p">(</span><span class="n">target</span><span class="p">,</span> <span class="n">shape</span><span class="p">,</span> <span class="n">var_names</span><span class="p">,</span> <span class="n">bias_fp</span><span class="p">,</span> <span class="n">threshold</span><span class="o">=</span><span class="mf">0.1</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Get bias correction factors from sup3r&#39;s standard resource</span>
+
+<span class="sd">    This was stripped without any change from original</span>
+<span class="sd">    `_get_spatial_bc_factors` to allow re-use in other `*_bc_factors`</span>
+<span class="sd">    functions.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    target : tuple</span>
+<span class="sd">        (lat, lon) lower left corner of raster. Either need target+shape or</span>
+<span class="sd">        raster_file.</span>
+<span class="sd">    shape : tuple</span>
+<span class="sd">        (rows, cols) grid size. Either need target+shape or raster_file.</span>
+<span class="sd">    var_names : dict</span>
+<span class="sd">        A dictionary mapping the expected variable name in the `Resource`</span>
+<span class="sd">        and the desired name to output. For instance the dictionary</span>
+<span class="sd">        `{&#39;base&#39;: &#39;base_ghi_params&#39;}` would return a `params[&#39;base&#39;]` with</span>
+<span class="sd">        a value equals to `base_ghi_params` from the `bias_fp` file.</span>
+<span class="sd">    bias_fp : str</span>
+<span class="sd">        Filepath to bias correction file from the bias calc module. Must have</span>
+<span class="sd">        datasets defined as values of the dictionary `var_names` given as an</span>
+<span class="sd">        input argument, such as &quot;{feature_name}_scalar&quot; or</span>
+<span class="sd">        &quot;base_{base_dset}_params&quot;. Those are the full low-resolution shape of</span>
+<span class="sd">        the forward pass input that will be sliced using lr_padded_slice for</span>
+<span class="sd">        the current chunk.</span>
+<span class="sd">    threshold : float</span>
+<span class="sd">        Nearest neighbor euclidean distance threshold. If the coordinates are</span>
+<span class="sd">        more than this value away from the bias correction lat/lon, an error is</span>
+<span class="sd">        raised.</span>
+
+<span class="sd">    Return</span>
+<span class="sd">    ------</span>
+<span class="sd">    dict :</span>
+<span class="sd">        A dictionary with the content from `bias_fp` as mapped by `var_names`,</span>
+<span class="sd">        therefore, the keys here are the same keys in `var_names`.</span>
+<span class="sd">        Also includes &#39;global_attrs&#39; from Rasterizer.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">res</span> <span class="o">=</span> <span class="n">Rasterizer</span><span class="p">(</span>
+        <span class="n">file_paths</span><span class="o">=</span><span class="n">bias_fp</span><span class="p">,</span>
+        <span class="n">target</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">target</span><span class="p">),</span>
+        <span class="n">shape</span><span class="o">=</span><span class="n">shape</span><span class="p">,</span>
+        <span class="n">threshold</span><span class="o">=</span><span class="n">threshold</span><span class="p">,</span>
+    <span class="p">)</span>
+    <span class="n">missing</span> <span class="o">=</span> <span class="p">[</span><span class="n">d</span> <span class="k">for</span> <span class="n">d</span> <span class="ow">in</span> <span class="n">var_names</span><span class="o">.</span><span class="n">values</span><span class="p">()</span> <span class="k">if</span> <span class="n">d</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">res</span><span class="o">.</span><span class="n">features</span><span class="p">]</span>
+    <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;Missing </span><span class="si">{</span><span class="s2">&quot; and &quot;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">missing</span><span class="p">)</span><span class="si">}</span><span class="s1"> in resource: </span><span class="si">{</span><span class="n">bias_fp</span><span class="si">}</span><span class="s1">.&#39;</span>
+    <span class="k">assert</span> <span class="n">missing</span> <span class="o">==</span> <span class="p">[],</span> <span class="n">msg</span>
+    <span class="c1"># pylint: disable=E1136</span>
+    <span class="n">out</span> <span class="o">=</span> <span class="p">{</span><span class="n">k</span><span class="p">:</span> <span class="n">res</span><span class="p">[</span><span class="n">var_names</span><span class="p">[</span><span class="n">k</span><span class="p">]</span><span class="o">.</span><span class="n">lower</span><span class="p">()][</span><span class="o">...</span><span class="p">]</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">var_names</span><span class="p">}</span>
+    <span class="n">out</span><span class="p">[</span><span class="s1">&#39;cfg&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">res</span><span class="o">.</span><span class="n">global_attrs</span>
+    <span class="k">return</span> <span class="n">out</span>
+
+
+<span class="k">def</span> <span class="nf">_get_spatial_bc_factors</span><span class="p">(</span><span class="n">lat_lon</span><span class="p">,</span> <span class="n">feature_name</span><span class="p">,</span> <span class="n">bias_fp</span><span class="p">,</span> <span class="n">threshold</span><span class="o">=</span><span class="mf">0.1</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Get bc factors (scalar/adder) for the given feature for the given</span>
+<span class="sd">    domain (specified by lat_lon).</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    lat_lon : ndarray</span>
+<span class="sd">        Array of latitudes and longitudes for the domain to bias correct</span>
+<span class="sd">        (n_lats, n_lons, 2)</span>
+<span class="sd">    feature_name : str</span>
+<span class="sd">        Name of feature that is being corrected. Datasets with names</span>
+<span class="sd">        &quot;{feature_name}_scalar&quot; and &quot;{feature_name}_adder&quot; will be retrieved</span>
+<span class="sd">        from bias_fp.</span>
+<span class="sd">    bias_fp : str</span>
+<span class="sd">        Filepath to bias correction file from the bias calc module. Must have</span>
+<span class="sd">        datasets &quot;{feature_name}_scalar&quot; and &quot;{feature_name}_adder&quot; that are</span>
+<span class="sd">        the full low-resolution shape of the forward pass input that will be</span>
+<span class="sd">        sliced using lr_padded_slice for the current chunk.</span>
+<span class="sd">    threshold : float</span>
+<span class="sd">        Nearest neighbor euclidean distance threshold. If the coordinates are</span>
+<span class="sd">        more than this value away from the bias correction lat/lon, an error is</span>
+<span class="sd">        raised.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">var_names</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="s1">&#39;scalar&#39;</span><span class="p">:</span> <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">feature_name</span><span class="si">}</span><span class="s1">_scalar&#39;</span><span class="p">,</span>
+        <span class="s1">&#39;adder&#39;</span><span class="p">:</span> <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">feature_name</span><span class="si">}</span><span class="s1">_adder&#39;</span><span class="p">,</span>
+    <span class="p">}</span>
+    <span class="n">target</span> <span class="o">=</span> <span class="n">lat_lon</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="p">:]</span>
+    <span class="n">shape</span> <span class="o">=</span> <span class="n">lat_lon</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+    <span class="k">return</span> <span class="n">_get_factors</span><span class="p">(</span>
+        <span class="n">target</span><span class="o">=</span><span class="n">target</span><span class="p">,</span>
+        <span class="n">shape</span><span class="o">=</span><span class="n">shape</span><span class="p">,</span>
+        <span class="n">var_names</span><span class="o">=</span><span class="n">var_names</span><span class="p">,</span>
+        <span class="n">bias_fp</span><span class="o">=</span><span class="n">bias_fp</span><span class="p">,</span>
+        <span class="n">threshold</span><span class="o">=</span><span class="n">threshold</span><span class="p">,</span>
+    <span class="p">)</span>
+
+
+<span class="k">def</span> <span class="nf">_get_spatial_bc_quantiles</span><span class="p">(</span>
+    <span class="n">lat_lon</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">da</span><span class="o">.</span><span class="n">core</span><span class="o">.</span><span class="n">Array</span><span class="p">],</span>
+    <span class="n">base_dset</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">feature_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">bias_fp</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">threshold</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.1</span><span class="p">,</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Statistical distributions previously estimated for given lat/lon points</span>
+
+<span class="sd">    Recover the parameters that describe the statistical distribution</span>
+<span class="sd">    previously estimated with</span>
+<span class="sd">    :class:`~sup3r.bias.qdm.QuantileDeltaMappingCorrection` for three</span>
+<span class="sd">    datasets: ``base`` (historical reference), ``bias`` (historical biased</span>
+<span class="sd">    reference), and ``bias_fut`` (the future biased dataset, usually the data</span>
+<span class="sd">    to correct).</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    lat_lon : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        Array of latitudes and longitudes for the domain to bias correct</span>
+<span class="sd">        (n_lats, n_lons, 2)</span>
+<span class="sd">    base_dset : str</span>
+<span class="sd">        Name of feature used as historical reference. A Dataset with name</span>
+<span class="sd">        &quot;base_{base_dset}_params&quot; will be retrieved from ``bias_fp``.</span>
+<span class="sd">    feature_name : str</span>
+<span class="sd">        Name of the feature that is being corrected. Datasets with names</span>
+<span class="sd">        &quot;bias_{feature_name}_params&quot; and &quot;bias_fut_{feature_name}_params&quot; will</span>
+<span class="sd">        be retrieved from ``bias_fp``.</span>
+<span class="sd">    bias_fp : str</span>
+<span class="sd">        Filepath to bias correction file from the bias calc module. Must have</span>
+<span class="sd">        datasets &quot;base_{base_dset}_params&quot;, &quot;bias_{feature_name}_params&quot;, and</span>
+<span class="sd">        &quot;bias_fut_{feature_name}_params&quot; that define the statistical</span>
+<span class="sd">        distributions.</span>
+<span class="sd">    threshold : float</span>
+<span class="sd">        Nearest neighbor euclidean distance threshold. If the coordinates are</span>
+<span class="sd">        more than this value away from the bias correction lat/lon, an error</span>
+<span class="sd">        is raised.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    params : dict</span>
+<span class="sd">        A dictionary collecting the following parameters:</span>
+<span class="sd">        - base : np.array</span>
+<span class="sd">          Parameters used to define the statistical distribution estimated for</span>
+<span class="sd">          the ``base_dset``. It has a shape of (I, J, P), where (I, J) are the</span>
+<span class="sd">          same first two dimensions of the given `lat_lon` and P is the number</span>
+<span class="sd">          of parameters and depends on the type of distribution. See</span>
+<span class="sd">          :class:`~sup3r.bias.qdm.QuantileDeltaMappingCorrection` for more</span>
+<span class="sd">          details.</span>
+<span class="sd">        - bias : np.array</span>
+<span class="sd">          Parameters used to define the statistical distribution estimated for</span>
+<span class="sd">          (historical) ``feature_name``. It has a shape of (I, J, P), where</span>
+<span class="sd">          (I, J) are the same first two dimensions of the given `lat_lon` and P</span>
+<span class="sd">          is the number of parameters and depends on the type of distribution.</span>
+<span class="sd">          See :class:`~sup3r.bias.qdm.QuantileDeltaMappingCorrection` for</span>
+<span class="sd">          more details.</span>
+<span class="sd">        - bias_fut : np.array</span>
+<span class="sd">          Parameters used to define the statistical distribution estimated for</span>
+<span class="sd">          (future) ``feature_name``. It has a shape of (I, J, P), where (I, J)</span>
+<span class="sd">          are the same first two dimensions of the given `lat_lon` and P is the</span>
+<span class="sd">          number of parameters used and depends on the type of distribution.</span>
+<span class="sd">          See :class:`~sup3r.bias.qdm.QuantileDeltaMappingCorrection` for more</span>
+<span class="sd">          details.</span>
+<span class="sd">        - global_attrs : dict</span>
+<span class="sd">          Metadata used to guide how to use of the previous parameters on</span>
+<span class="sd">          reconstructing the statistical distributions. For instance,</span>
+<span class="sd">          `cfg[&#39;dist&#39;]` defines the type of distribution. See</span>
+<span class="sd">          :class:`~sup3r.bias.qdm.QuantileDeltaMappingCorrection` for more</span>
+<span class="sd">          details, including which metadata is saved.</span>
+
+<span class="sd">    Warnings</span>
+<span class="sd">    --------</span>
+<span class="sd">    Be careful selecting which `bias_fp` to use. In particular, if</span>
+<span class="sd">    &quot;bias_fut_{feature_name}_params&quot; is representative for the desired target</span>
+<span class="sd">    period.</span>
+
+<span class="sd">    See Also</span>
+<span class="sd">    --------</span>
+<span class="sd">    sup3r.bias.qdm.QuantileDeltaMappingCorrection</span>
+<span class="sd">        Estimate the statistical distributions loaded here.</span>
+
+<span class="sd">    Examples</span>
+<span class="sd">    --------</span>
+<span class="sd">    &gt;&gt;&gt; lat_lon = np.array([</span>
+<span class="sd">    ...              [39.649033, -105.46875 ],</span>
+<span class="sd">    ...              [39.649033, -104.765625]])</span>
+<span class="sd">    &gt;&gt;&gt; params = _get_spatial_bc_quantiles(</span>
+<span class="sd">    ...             lat_lon, &quot;ghi&quot;, &quot;rsds&quot;, &quot;./dist_params.hdf&quot;)</span>
+
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">var_names</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="s1">&#39;base&#39;</span><span class="p">:</span> <span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_params&#39;</span><span class="p">,</span>
+        <span class="s1">&#39;bias&#39;</span><span class="p">:</span> <span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="n">feature_name</span><span class="si">}</span><span class="s1">_params&#39;</span><span class="p">,</span>
+        <span class="s1">&#39;bias_fut&#39;</span><span class="p">:</span> <span class="sa">f</span><span class="s1">&#39;bias_fut_</span><span class="si">{</span><span class="n">feature_name</span><span class="si">}</span><span class="s1">_params&#39;</span><span class="p">,</span>
+    <span class="p">}</span>
+    <span class="n">target</span> <span class="o">=</span> <span class="n">lat_lon</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="p">:]</span>
+    <span class="n">shape</span> <span class="o">=</span> <span class="n">lat_lon</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+    <span class="k">return</span> <span class="n">_get_factors</span><span class="p">(</span>
+        <span class="n">target</span><span class="o">=</span><span class="n">target</span><span class="p">,</span>
+        <span class="n">shape</span><span class="o">=</span><span class="n">shape</span><span class="p">,</span>
+        <span class="n">var_names</span><span class="o">=</span><span class="n">var_names</span><span class="p">,</span>
+        <span class="n">bias_fp</span><span class="o">=</span><span class="n">bias_fp</span><span class="p">,</span>
+        <span class="n">threshold</span><span class="o">=</span><span class="n">threshold</span><span class="p">,</span>
+    <span class="p">)</span>
+
+
+<div class="viewcode-block" id="global_linear_bc">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_transforms.global_linear_bc.html#sup3r.bias.bias_transforms.global_linear_bc">[docs]</a>
+<span class="k">def</span> <span class="nf">global_linear_bc</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">scalar</span><span class="p">,</span> <span class="n">adder</span><span class="p">,</span> <span class="n">out_range</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Bias correct data using a simple global *scalar +adder method.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    data : np.ndarray</span>
+<span class="sd">        Sup3r input data to be bias corrected, assumed to be 3D with shape</span>
+<span class="sd">        (spatial, spatial, temporal) for a single feature.</span>
+<span class="sd">    scalar : float</span>
+<span class="sd">        Scalar (multiplicative) value to apply to input data.</span>
+<span class="sd">    adder : float</span>
+<span class="sd">        Adder value to apply to input data.</span>
+<span class="sd">    out_range : None | tuple</span>
+<span class="sd">        Option to set floor/ceiling values on the output data.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    out : np.ndarray</span>
+<span class="sd">        out = data * scalar + adder</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">out</span> <span class="o">=</span> <span class="n">data</span> <span class="o">*</span> <span class="n">scalar</span> <span class="o">+</span> <span class="n">adder</span>
+    <span class="k">if</span> <span class="n">out_range</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">maximum</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">out_range</span><span class="p">))</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">minimum</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">out_range</span><span class="p">))</span>
+    <span class="k">return</span> <span class="n">out</span></div>
+
+
+
+<div class="viewcode-block" id="local_linear_bc">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_transforms.local_linear_bc.html#sup3r.bias.bias_transforms.local_linear_bc">[docs]</a>
+<span class="k">def</span> <span class="nf">local_linear_bc</span><span class="p">(</span>
+    <span class="n">data</span><span class="p">,</span>
+    <span class="n">lat_lon</span><span class="p">,</span>
+    <span class="n">feature_name</span><span class="p">,</span>
+    <span class="n">bias_fp</span><span class="p">,</span>
+    <span class="n">lr_padded_slice</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="n">out_range</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="n">smoothing</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Bias correct data using a simple annual (or multi-year) *scalar +adder</span>
+<span class="sd">    method on a site-by-site basis.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    data : np.ndarray</span>
+<span class="sd">        Sup3r input data to be bias corrected, assumed to be 3D with shape</span>
+<span class="sd">        (spatial, spatial, temporal) for a single feature.</span>
+<span class="sd">    lat_lon : ndarray</span>
+<span class="sd">        Array of latitudes and longitudes for the domain to bias correct</span>
+<span class="sd">        (n_lats, n_lons, 2)</span>
+<span class="sd">    feature_name : str</span>
+<span class="sd">        Name of feature that is being corrected. Datasets with names</span>
+<span class="sd">        &quot;{feature_name}_scalar&quot; and &quot;{feature_name}_adder&quot; will be retrieved</span>
+<span class="sd">        from bias_fp.</span>
+<span class="sd">    bias_fp : str</span>
+<span class="sd">        Filepath to bias correction file from the bias calc module. Must have</span>
+<span class="sd">        datasets &quot;{feature_name}_scalar&quot; and &quot;{feature_name}_adder&quot; that are</span>
+<span class="sd">        the full low-resolution shape of the forward pass input that will be</span>
+<span class="sd">        sliced using lr_padded_slice for the current chunk.</span>
+<span class="sd">    lr_padded_slice : tuple | None</span>
+<span class="sd">        Tuple of length four that slices (spatial_1, spatial_2, temporal,</span>
+<span class="sd">        features) where each tuple entry is a slice object for that axes.</span>
+<span class="sd">        Note that if this method is called as part of a sup3r forward pass, the</span>
+<span class="sd">        lr_padded_slice will be included in the kwargs for the active chunk.</span>
+<span class="sd">        If this is None, no slicing will be done and the full bias correction</span>
+<span class="sd">        source shape will be used.</span>
+<span class="sd">    out_range : None | tuple</span>
+<span class="sd">        Option to set floor/ceiling values on the output data.</span>
+<span class="sd">    smoothing : float</span>
+<span class="sd">        Value to use to smooth the scalar/adder data. This can reduce the</span>
+<span class="sd">        effect of extreme values within aggregations over large number of</span>
+<span class="sd">        pixels.  This value is the standard deviation for the gaussian_filter</span>
+<span class="sd">        kernel.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    out : np.ndarray</span>
+<span class="sd">        out = data * scalar + adder</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">out</span> <span class="o">=</span> <span class="n">_get_spatial_bc_factors</span><span class="p">(</span><span class="n">lat_lon</span><span class="p">,</span> <span class="n">feature_name</span><span class="p">,</span> <span class="n">bias_fp</span><span class="p">)</span>
+    <span class="n">scalar</span><span class="p">,</span> <span class="n">adder</span> <span class="o">=</span> <span class="n">out</span><span class="p">[</span><span class="s1">&#39;scalar&#39;</span><span class="p">],</span> <span class="n">out</span><span class="p">[</span><span class="s1">&#39;adder&#39;</span><span class="p">]</span>
+    <span class="c1"># 3D bias correction factors have seasonal/monthly correction in last axis</span>
+    <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">scalar</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">3</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">adder</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">3</span><span class="p">:</span>
+        <span class="n">scalar</span> <span class="o">=</span> <span class="n">scalar</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+        <span class="n">adder</span> <span class="o">=</span> <span class="n">adder</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+
+    <span class="k">if</span> <span class="n">lr_padded_slice</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">spatial_slice</span> <span class="o">=</span> <span class="p">(</span><span class="n">lr_padded_slice</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">lr_padded_slice</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+        <span class="n">scalar</span> <span class="o">=</span> <span class="n">scalar</span><span class="p">[</span><span class="n">spatial_slice</span><span class="p">]</span>
+        <span class="n">adder</span> <span class="o">=</span> <span class="n">adder</span><span class="p">[</span><span class="n">spatial_slice</span><span class="p">]</span>
+
+    <span class="k">if</span> <span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">scalar</span><span class="p">)</span><span class="o">.</span><span class="n">any</span><span class="p">()</span> <span class="ow">or</span> <span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">adder</span><span class="p">)</span><span class="o">.</span><span class="n">any</span><span class="p">():</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Bias correction scalar/adder values had NaNs for &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;&quot;</span><span class="si">{</span><span class="n">feature_name</span><span class="si">}</span><span class="s1">&quot; from: </span><span class="si">{</span><span class="n">bias_fp</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+    <span class="n">scalar</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">scalar</span><span class="p">,</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+    <span class="n">adder</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">adder</span><span class="p">,</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+
+    <span class="n">scalar</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">repeat</span><span class="p">(</span><span class="n">scalar</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+    <span class="n">adder</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">repeat</span><span class="p">(</span><span class="n">adder</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+
+    <span class="k">if</span> <span class="n">smoothing</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+        <span class="k">for</span> <span class="n">idt</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">scalar</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]):</span>
+            <span class="n">scalar</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">idt</span><span class="p">]</span> <span class="o">=</span> <span class="n">gaussian_filter</span><span class="p">(</span>
+                <span class="n">scalar</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">idt</span><span class="p">],</span> <span class="n">smoothing</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;nearest&#39;</span>
+            <span class="p">)</span>
+            <span class="n">adder</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">idt</span><span class="p">]</span> <span class="o">=</span> <span class="n">gaussian_filter</span><span class="p">(</span>
+                <span class="n">adder</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">idt</span><span class="p">],</span> <span class="n">smoothing</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;nearest&#39;</span>
+            <span class="p">)</span>
+
+    <span class="n">out</span> <span class="o">=</span> <span class="n">data</span> <span class="o">*</span> <span class="n">scalar</span> <span class="o">+</span> <span class="n">adder</span>
+    <span class="k">if</span> <span class="n">out_range</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">maximum</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">out_range</span><span class="p">))</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">minimum</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">out_range</span><span class="p">))</span>
+
+    <span class="k">return</span> <span class="n">out</span></div>
+
+
+
+<div class="viewcode-block" id="monthly_local_linear_bc">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_transforms.monthly_local_linear_bc.html#sup3r.bias.bias_transforms.monthly_local_linear_bc">[docs]</a>
+<span class="k">def</span> <span class="nf">monthly_local_linear_bc</span><span class="p">(</span>
+    <span class="n">data</span><span class="p">,</span>
+    <span class="n">lat_lon</span><span class="p">,</span>
+    <span class="n">feature_name</span><span class="p">,</span>
+    <span class="n">bias_fp</span><span class="p">,</span>
+    <span class="n">date_range_kwargs</span><span class="p">,</span>
+    <span class="n">lr_padded_slice</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="n">temporal_avg</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">out_range</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="n">smoothing</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
+    <span class="n">scalar_range</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="n">adder_range</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Bias correct data using a simple monthly *scalar +adder method on a</span>
+<span class="sd">    site-by-site basis.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    data : np.ndarray</span>
+<span class="sd">        Sup3r input data to be bias corrected, assumed to be 3D with shape</span>
+<span class="sd">        (spatial, spatial, temporal) for a single feature.</span>
+<span class="sd">    lat_lon : ndarray</span>
+<span class="sd">        Array of latitudes and longitudes for the domain to bias correct</span>
+<span class="sd">        (n_lats, n_lons, 2)</span>
+<span class="sd">    feature_name : str</span>
+<span class="sd">        Name of feature that is being corrected. Datasets with names</span>
+<span class="sd">        &quot;{feature_name}_scalar&quot; and &quot;{feature_name}_adder&quot; will be retrieved</span>
+<span class="sd">        from bias_fp.</span>
+<span class="sd">    bias_fp : str</span>
+<span class="sd">        Filepath to bias correction file from the bias calc module. Must have</span>
+<span class="sd">        datasets &quot;{feature_name}_scalar&quot; and &quot;{feature_name}_adder&quot; that are</span>
+<span class="sd">        the full low-resolution shape of the forward pass input that will be</span>
+<span class="sd">        sliced using lr_padded_slice for the current chunk.</span>
+<span class="sd">    date_range_kwargs : dict</span>
+<span class="sd">        Keyword args for pd.date_range to produce a DatetimeIndex object</span>
+<span class="sd">        associated with the input data temporal axis (assumed 3rd axis e.g.</span>
+<span class="sd">        axis=2). Note that if this method is called as part of a sup3r</span>
+<span class="sd">        resolution forward pass, the date_range_kwargs will be included</span>
+<span class="sd">        automatically for the current chunk.</span>
+<span class="sd">    lr_padded_slice : tuple | None</span>
+<span class="sd">        Tuple of length four that slices (spatial_1, spatial_2, temporal,</span>
+<span class="sd">        features) where each tuple entry is a slice object for that axes.</span>
+<span class="sd">        Note that if this method is called as part of a sup3r forward pass, the</span>
+<span class="sd">        lr_padded_slice will be included automatically in the kwargs for the</span>
+<span class="sd">        active chunk. If this is None, no slicing will be done and the full</span>
+<span class="sd">        bias correction source shape will be used.</span>
+<span class="sd">    temporal_avg : bool</span>
+<span class="sd">        Take the average scalars and adders for the chunk&#39;s time index, this</span>
+<span class="sd">        will smooth the transition of scalars/adders from month to month if</span>
+<span class="sd">        processing small chunks. If processing the full annual time index, set</span>
+<span class="sd">        this to False.</span>
+<span class="sd">    out_range : None | tuple</span>
+<span class="sd">        Option to set floor/ceiling values on the output data.</span>
+<span class="sd">    smoothing : float</span>
+<span class="sd">        Value to use to smooth the scalar/adder data. This can reduce the</span>
+<span class="sd">        effect of extreme values within aggregations over large number of</span>
+<span class="sd">        pixels.  This value is the standard deviation for the gaussian_filter</span>
+<span class="sd">        kernel.</span>
+<span class="sd">    scalar_range : tuple | None</span>
+<span class="sd">        Allowed range for the scalar term in the linear bias correction.</span>
+<span class="sd">    adder_range : tuple | None</span>
+<span class="sd">        Allowed range for the adder term in the linear bias correction.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    out : np.ndarray</span>
+<span class="sd">        out = data * scalar + adder</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">time_index</span> <span class="o">=</span> <span class="n">make_time_index_from_kws</span><span class="p">(</span><span class="n">date_range_kwargs</span><span class="p">)</span>
+    <span class="n">out</span> <span class="o">=</span> <span class="n">_get_spatial_bc_factors</span><span class="p">(</span><span class="n">lat_lon</span><span class="p">,</span> <span class="n">feature_name</span><span class="p">,</span> <span class="n">bias_fp</span><span class="p">)</span>
+    <span class="n">scalar</span><span class="p">,</span> <span class="n">adder</span> <span class="o">=</span> <span class="n">out</span><span class="p">[</span><span class="s1">&#39;scalar&#39;</span><span class="p">],</span> <span class="n">out</span><span class="p">[</span><span class="s1">&#39;adder&#39;</span><span class="p">]</span>
+
+    <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">scalar</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">3</span><span class="p">,</span> <span class="s1">&#39;Monthly bias correct needs 3D scalars&#39;</span>
+    <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">adder</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">3</span><span class="p">,</span> <span class="s1">&#39;Monthly bias correct needs 3D adders&#39;</span>
+
+    <span class="k">if</span> <span class="n">lr_padded_slice</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">spatial_slice</span> <span class="o">=</span> <span class="p">(</span><span class="n">lr_padded_slice</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">lr_padded_slice</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+        <span class="n">scalar</span> <span class="o">=</span> <span class="n">scalar</span><span class="p">[</span><span class="n">spatial_slice</span><span class="p">]</span>
+        <span class="n">adder</span> <span class="o">=</span> <span class="n">adder</span><span class="p">[</span><span class="n">spatial_slice</span><span class="p">]</span>
+
+    <span class="n">imonths</span> <span class="o">=</span> <span class="n">time_index</span><span class="o">.</span><span class="n">month</span><span class="o">.</span><span class="n">values</span> <span class="o">-</span> <span class="mi">1</span>
+    <span class="n">scalar</span> <span class="o">=</span> <span class="n">scalar</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">imonths</span><span class="p">]</span>
+    <span class="n">adder</span> <span class="o">=</span> <span class="n">adder</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">imonths</span><span class="p">]</span>
+
+    <span class="k">if</span> <span class="n">temporal_avg</span><span class="p">:</span>
+        <span class="n">scalar</span> <span class="o">=</span> <span class="n">scalar</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+        <span class="n">adder</span> <span class="o">=</span> <span class="n">adder</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+        <span class="n">scalar</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">scalar</span><span class="p">,</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+        <span class="n">adder</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">adder</span><span class="p">,</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+        <span class="n">scalar</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">repeat</span><span class="p">(</span><span class="n">scalar</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+        <span class="n">adder</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">repeat</span><span class="p">(</span><span class="n">adder</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">time_index</span><span class="o">.</span><span class="n">month</span><span class="o">.</span><span class="n">unique</span><span class="p">())</span> <span class="o">&gt;</span> <span class="mi">2</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Bias correction method &quot;monthly_local_linear_bc&quot; was used &#39;</span>
+                <span class="s1">&#39;with temporal averaging over a time index with &gt;2 months.&#39;</span>
+            <span class="p">)</span>
+            <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+    <span class="k">if</span> <span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">scalar</span><span class="p">)</span><span class="o">.</span><span class="n">any</span><span class="p">()</span> <span class="ow">or</span> <span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">adder</span><span class="p">)</span><span class="o">.</span><span class="n">any</span><span class="p">():</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Bias correction scalar/adder values had NaNs for &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;&quot;</span><span class="si">{</span><span class="n">feature_name</span><span class="si">}</span><span class="s1">&quot; from: </span><span class="si">{</span><span class="n">bias_fp</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+    <span class="k">if</span> <span class="n">smoothing</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+        <span class="k">for</span> <span class="n">idt</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">scalar</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]):</span>
+            <span class="n">scalar</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">idt</span><span class="p">]</span> <span class="o">=</span> <span class="n">gaussian_filter</span><span class="p">(</span>
+                <span class="n">scalar</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">idt</span><span class="p">],</span> <span class="n">smoothing</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;nearest&#39;</span>
+            <span class="p">)</span>
+            <span class="n">adder</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">idt</span><span class="p">]</span> <span class="o">=</span> <span class="n">gaussian_filter</span><span class="p">(</span>
+                <span class="n">adder</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">idt</span><span class="p">],</span> <span class="n">smoothing</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;nearest&#39;</span>
+            <span class="p">)</span>
+
+    <span class="k">if</span> <span class="n">scalar_range</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">scalar</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">minimum</span><span class="p">(</span><span class="n">scalar</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">scalar_range</span><span class="p">))</span>
+        <span class="n">scalar</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">maximum</span><span class="p">(</span><span class="n">scalar</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">scalar_range</span><span class="p">))</span>
+
+    <span class="k">if</span> <span class="n">adder_range</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">adder</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">minimum</span><span class="p">(</span><span class="n">adder</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">adder_range</span><span class="p">))</span>
+        <span class="n">adder</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">maximum</span><span class="p">(</span><span class="n">adder</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">adder_range</span><span class="p">))</span>
+
+    <span class="n">out</span> <span class="o">=</span> <span class="n">data</span> <span class="o">*</span> <span class="n">scalar</span> <span class="o">+</span> <span class="n">adder</span>
+    <span class="k">if</span> <span class="n">out_range</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">maximum</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">out_range</span><span class="p">))</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">minimum</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">out_range</span><span class="p">))</span>
+
+    <span class="k">return</span> <span class="n">out</span></div>
+
+
+
+<div class="viewcode-block" id="local_qdm_bc">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_transforms.local_qdm_bc.html#sup3r.bias.bias_transforms.local_qdm_bc">[docs]</a>
+<span class="k">def</span> <span class="nf">local_qdm_bc</span><span class="p">(</span>
+    <span class="n">data</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span>
+    <span class="n">lat_lon</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span>
+    <span class="n">base_dset</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">feature_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">bias_fp</span><span class="p">,</span>
+    <span class="n">date_range_kwargs</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span>
+    <span class="n">lr_padded_slice</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="n">threshold</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span>
+    <span class="n">relative</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">no_trend</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="n">delta_denom_min</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="n">delta_denom_zero</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="n">delta_range</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="n">out_range</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="n">max_workers</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Bias correction using QDM</span>
+
+<span class="sd">    Apply QDM to correct bias on the given data. It assumes that the required</span>
+<span class="sd">    statistical distributions were previously estimated and saved in</span>
+<span class="sd">    ``bias_fp``.</span>
+
+<span class="sd">    Assume CDF for the nearest day of year (doy) is representative.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    data : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        Sup3r input data to be bias corrected, assumed to be 3D with shape</span>
+<span class="sd">        (spatial, spatial, temporal) for a single feature.</span>
+<span class="sd">    lat_lon : np.ndarray</span>
+<span class="sd">        Array of latitudes and longitudes for the domain to bias correct</span>
+<span class="sd">        (n_lats, n_lons, 2)</span>
+<span class="sd">    base_dset :</span>
+<span class="sd">        Name of feature that is used as (historical) reference. Dataset with</span>
+<span class="sd">        names &quot;base_{base_dset}_params&quot; will be retrieved.</span>
+<span class="sd">    feature_name : str</span>
+<span class="sd">        Name of feature that is being corrected. Datasets with names</span>
+<span class="sd">        &quot;bias_{feature_name}_params&quot; and &quot;bias_fut_{feature_name}_params&quot; will</span>
+<span class="sd">        be retrieved.</span>
+<span class="sd">    date_range_kwargs : dict</span>
+<span class="sd">        Keyword args for pd.date_range to produce a DatetimeIndex object</span>
+<span class="sd">        associated with the input data temporal axis (assumed 3rd axis e.g.</span>
+<span class="sd">        axis=2). Note that if this method is called as part of a sup3r</span>
+<span class="sd">        resolution forward pass, the date_range_kwargs will be included</span>
+<span class="sd">        automatically for the current chunk.</span>
+<span class="sd">    bias_fp : str</span>
+<span class="sd">        Filepath to statistical distributions file from the bias calc module.</span>
+<span class="sd">        Must have datasets &quot;bias_{feature_name}_params&quot;,</span>
+<span class="sd">        &quot;bias_fut_{feature_name}_params&quot;, and &quot;base_{base_dset}_params&quot; that</span>
+<span class="sd">        are the parameters to define the statistical distributions to be used</span>
+<span class="sd">        to correct the given `data`.</span>
+<span class="sd">    lr_padded_slice : tuple | None</span>
+<span class="sd">        Tuple of length four that slices (spatial_1, spatial_2, temporal,</span>
+<span class="sd">        features) where each tuple entry is a slice object for that axes.</span>
+<span class="sd">        Note that if this method is called as part of a sup3r forward pass, the</span>
+<span class="sd">        lr_padded_slice will be included automatically in the kwargs for the</span>
+<span class="sd">        active chunk. If this is None, no slicing will be done and the full</span>
+<span class="sd">        bias correction source shape will be used.</span>
+<span class="sd">    no_trend: bool, default=False</span>
+<span class="sd">        An option to ignore the trend component of the correction, thus</span>
+<span class="sd">        resulting in an ordinary Quantile Mapping, i.e. corrects the bias by</span>
+<span class="sd">        comparing the distributions of the biased dataset with a reference</span>
+<span class="sd">        datasets. See</span>
+<span class="sd">        ``params_mf`` of :class:`rex.utilities.bc_utils.QuantileDeltaMapping`.</span>
+<span class="sd">        Note that this assumes that params_mh is the data distribution</span>
+<span class="sd">        representative for the target data.</span>
+<span class="sd">    delta_denom_min : float | None</span>
+<span class="sd">        Option to specify a minimum value for the denominator term in the</span>
+<span class="sd">        calculation of a relative delta value. This prevents division by a</span>
+<span class="sd">        very small number making delta blow up and resulting in very large</span>
+<span class="sd">        output bias corrected values. See equation 4 of Cannon et al., 2015</span>
+<span class="sd">        for the delta term.</span>
+<span class="sd">    delta_denom_zero : float | None</span>
+<span class="sd">        Option to specify a value to replace zeros in the denominator term</span>
+<span class="sd">        in the calculation of a relative delta value. This prevents</span>
+<span class="sd">        division by a very small number making delta blow up and resulting</span>
+<span class="sd">        in very large output bias corrected values. See equation 4 of</span>
+<span class="sd">        Cannon et al., 2015 for the delta term.</span>
+<span class="sd">    delta_range : tuple | None</span>
+<span class="sd">        Option to set a (min, max) on the delta term in QDM. This can help</span>
+<span class="sd">        prevent QDM from making non-realistic increases/decreases in</span>
+<span class="sd">        otherwise physical values. See equation 4 of Cannon et al., 2015 for</span>
+<span class="sd">        the delta term.</span>
+<span class="sd">    out_range : None | tuple</span>
+<span class="sd">        Option to set floor/ceiling values on the output data.</span>
+<span class="sd">    max_workers: int | None</span>
+<span class="sd">        Max number of workers to use for QDM process pool</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    out : np.ndarray</span>
+<span class="sd">        The input data corrected by QDM. Its shape is the same of the input</span>
+<span class="sd">        (spatial, spatial, time_window, temporal). The dimension time_window</span>
+<span class="sd">        aligns with the number of time windows defined in a year, while</span>
+<span class="sd">        temporal aligns with the time of the data.</span>
+
+<span class="sd">    See Also</span>
+<span class="sd">    --------</span>
+<span class="sd">    sup3r.bias.qdm.QuantileDeltaMappingCorrection :</span>
+<span class="sd">        Estimate probability distributions required by QDM method</span>
+
+<span class="sd">    Notes</span>
+<span class="sd">    -----</span>
+<span class="sd">    Be careful selecting `bias_fp`. Usually, the input `data` used here would</span>
+<span class="sd">    be related to the dataset used to estimate</span>
+<span class="sd">    &quot;bias_fut_{feature_name}_params&quot;.</span>
+
+<span class="sd">    Keeping arguments as consistent as possible with `local_linear_bc()`, thus</span>
+<span class="sd">    a 4D data (spatial, spatial, time_window, temporal), and lat_lon (n_lats,</span>
+<span class="sd">    n_lons, [lat, lon]). But `QuantileDeltaMapping()`, from rex library,</span>
+<span class="sd">    expects an array, (time, space), thus we need to re-organize our input to</span>
+<span class="sd">    match that, and in the end bring it back to (spatial, spatial, time_window,</span>
+<span class="sd">    temporal). This is still better than maintaining the same functionality</span>
+<span class="sd">    consistent in two libraries.</span>
+
+<span class="sd">    Also, :class:`rex.utilities.bc_utils.QuantileDeltaMapping` expects params</span>
+<span class="sd">    to be 2D (space, N-params).</span>
+
+<span class="sd">    See Also</span>
+<span class="sd">    --------</span>
+<span class="sd">    rex.utilities.bc_utils.QuantileDeltaMapping :</span>
+<span class="sd">        Core QDM transformation.</span>
+
+<span class="sd">    Examples</span>
+<span class="sd">    --------</span>
+<span class="sd">    &gt;&gt;&gt; unbiased = local_qdm_bc(biased_array, lat_lon_array, &quot;ghi&quot;, &quot;rsds&quot;,</span>
+<span class="sd">    ...                         &quot;./dist_params.hdf&quot;)</span>
+
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="c1"># Confirm that the given time matches the expected data size</span>
+    <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;data was expected to be a 3D array but got shape </span><span class="si">{</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">&#39;</span>
+    <span class="k">assert</span> <span class="n">data</span><span class="o">.</span><span class="n">ndim</span> <span class="o">==</span> <span class="mi">3</span><span class="p">,</span> <span class="n">msg</span>
+    <span class="n">time_index</span> <span class="o">=</span> <span class="n">make_time_index_from_kws</span><span class="p">(</span><span class="n">date_range_kwargs</span><span class="p">)</span>
+    <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Time should align with data 3rd dimension but got data &#39;</span>
+           <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1"> and time_index length &#39;</span>
+           <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">time_index</span><span class="o">.</span><span class="n">size</span><span class="si">}</span><span class="s1">: </span><span class="si">{</span><span class="n">time_index</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+    <span class="k">assert</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="n">time_index</span><span class="o">.</span><span class="n">size</span><span class="p">,</span> <span class="n">msg</span>
+
+    <span class="n">params</span> <span class="o">=</span> <span class="n">_get_spatial_bc_quantiles</span><span class="p">(</span>
+        <span class="n">lat_lon</span><span class="o">=</span><span class="n">lat_lon</span><span class="p">,</span>
+        <span class="n">base_dset</span><span class="o">=</span><span class="n">base_dset</span><span class="p">,</span>
+        <span class="n">feature_name</span><span class="o">=</span><span class="n">feature_name</span><span class="p">,</span>
+        <span class="n">bias_fp</span><span class="o">=</span><span class="n">bias_fp</span><span class="p">,</span>
+        <span class="n">threshold</span><span class="o">=</span><span class="n">threshold</span><span class="p">,</span>
+    <span class="p">)</span>
+    <span class="n">data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+    <span class="n">base</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">params</span><span class="p">[</span><span class="s1">&#39;base&#39;</span><span class="p">])</span>
+    <span class="n">bias</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">params</span><span class="p">[</span><span class="s1">&#39;bias&#39;</span><span class="p">])</span>
+    <span class="n">bias_fut</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">params</span><span class="p">[</span><span class="s1">&#39;bias_fut&#39;</span><span class="p">])</span>
+    <span class="n">cfg</span> <span class="o">=</span> <span class="n">params</span><span class="p">[</span><span class="s1">&#39;cfg&#39;</span><span class="p">]</span>
+
+    <span class="k">if</span> <span class="n">lr_padded_slice</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">spatial_slice</span> <span class="o">=</span> <span class="p">(</span><span class="n">lr_padded_slice</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">lr_padded_slice</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+        <span class="n">base</span> <span class="o">=</span> <span class="n">base</span><span class="p">[</span><span class="n">spatial_slice</span><span class="p">]</span>
+        <span class="n">bias</span> <span class="o">=</span> <span class="n">bias</span><span class="p">[</span><span class="n">spatial_slice</span><span class="p">]</span>
+        <span class="n">bias_fut</span> <span class="o">=</span> <span class="n">bias_fut</span><span class="p">[</span><span class="n">spatial_slice</span><span class="p">]</span>
+
+    <span class="n">output</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">full_like</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">)</span>
+    <span class="n">nearest_window_idx</span> <span class="o">=</span> <span class="p">[</span>
+        <span class="n">np</span><span class="o">.</span><span class="n">argmin</span><span class="p">(</span><span class="nb">abs</span><span class="p">(</span><span class="n">d</span> <span class="o">-</span> <span class="n">cfg</span><span class="p">[</span><span class="s1">&#39;time_window_center&#39;</span><span class="p">]))</span>
+        <span class="k">for</span> <span class="n">d</span> <span class="ow">in</span> <span class="n">time_index</span><span class="o">.</span><span class="n">day_of_year</span>
+    <span class="p">]</span>
+    <span class="k">for</span> <span class="n">window_idx</span> <span class="ow">in</span> <span class="nb">set</span><span class="p">(</span><span class="n">nearest_window_idx</span><span class="p">):</span>
+        <span class="c1"># Naming following the paper: observed historical</span>
+        <span class="n">oh</span> <span class="o">=</span> <span class="n">base</span><span class="p">[:,</span> <span class="p">:,</span> <span class="n">window_idx</span><span class="p">]</span>
+        <span class="c1"># Modeled historical</span>
+        <span class="n">mh</span> <span class="o">=</span> <span class="n">bias</span><span class="p">[:,</span> <span class="p">:,</span> <span class="n">window_idx</span><span class="p">]</span>
+        <span class="c1"># Modeled future</span>
+        <span class="n">mf</span> <span class="o">=</span> <span class="n">bias_fut</span><span class="p">[:,</span> <span class="p">:,</span> <span class="n">window_idx</span><span class="p">]</span>
+
+        <span class="c1"># This satisfies the rex&#39;s QDM design</span>
+        <span class="n">mf</span> <span class="o">=</span> <span class="kc">None</span> <span class="k">if</span> <span class="n">no_trend</span> <span class="k">else</span> <span class="n">mf</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">mf</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
+        <span class="c1"># The distributions at this point, after selected the respective</span>
+        <span class="c1"># time window with `window_idx`, are 3D (space, space, N-params)</span>
+        <span class="c1"># Collapse 3D (space, space, N) into 2D (space**2, N)</span>
+        <span class="n">QDM</span> <span class="o">=</span> <span class="n">QuantileDeltaMapping</span><span class="p">(</span>
+            <span class="n">oh</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">oh</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]),</span>
+            <span class="n">mh</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">mh</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]),</span>
+            <span class="n">mf</span><span class="p">,</span>
+            <span class="n">dist</span><span class="o">=</span><span class="n">cfg</span><span class="p">[</span><span class="s1">&#39;dist&#39;</span><span class="p">],</span>
+            <span class="n">relative</span><span class="o">=</span><span class="n">relative</span><span class="p">,</span>
+            <span class="n">sampling</span><span class="o">=</span><span class="n">cfg</span><span class="p">[</span><span class="s1">&#39;sampling&#39;</span><span class="p">],</span>
+            <span class="n">log_base</span><span class="o">=</span><span class="n">cfg</span><span class="p">[</span><span class="s1">&#39;log_base&#39;</span><span class="p">],</span>
+            <span class="n">delta_denom_min</span><span class="o">=</span><span class="n">delta_denom_min</span><span class="p">,</span>
+            <span class="n">delta_denom_zero</span><span class="o">=</span><span class="n">delta_denom_zero</span><span class="p">,</span>
+            <span class="n">delta_range</span><span class="o">=</span><span class="n">delta_range</span><span class="p">,</span>
+        <span class="p">)</span>
+
+        <span class="n">subset_idx</span> <span class="o">=</span> <span class="n">nearest_window_idx</span> <span class="o">==</span> <span class="n">window_idx</span>
+        <span class="n">subset</span> <span class="o">=</span> <span class="n">data</span><span class="p">[:,</span> <span class="p">:,</span> <span class="n">subset_idx</span><span class="p">]</span>
+        <span class="c1"># input 3D shape (spatial, spatial, temporal)</span>
+        <span class="c1"># QDM expects input arr with shape (time, space)</span>
+        <span class="n">tmp</span> <span class="o">=</span> <span class="n">subset</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">subset</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span><span class="o">.</span><span class="n">T</span>
+        <span class="c1"># Apply QDM correction</span>
+        <span class="n">tmp</span> <span class="o">=</span> <span class="n">QDM</span><span class="p">(</span><span class="n">tmp</span><span class="p">,</span> <span class="n">max_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">)</span>
+        <span class="c1"># Reorgnize array back from  (time, space)</span>
+        <span class="c1"># to (spatial, spatial, temporal)</span>
+        <span class="n">tmp</span> <span class="o">=</span> <span class="n">tmp</span><span class="o">.</span><span class="n">T</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">subset</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+        <span class="c1"># Position output respecting original time axis sequence</span>
+        <span class="n">output</span><span class="p">[:,</span> <span class="p">:,</span> <span class="n">subset_idx</span><span class="p">]</span> <span class="o">=</span> <span class="n">tmp</span>
+
+    <span class="k">if</span> <span class="n">out_range</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">output</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">maximum</span><span class="p">(</span><span class="n">output</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">out_range</span><span class="p">))</span>
+        <span class="n">output</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">minimum</span><span class="p">(</span><span class="n">output</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">out_range</span><span class="p">))</span>
+
+    <span class="k">if</span> <span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">output</span><span class="p">)</span><span class="o">.</span><span class="n">any</span><span class="p">():</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;QDM bias correction resulted in NaN values! If this is a &#39;</span>
+               <span class="s1">&#39;relative QDM, you may try setting ``delta_denom_min`` or &#39;</span>
+               <span class="s1">&#39;``delta_denom_zero``&#39;</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">output</span></div>
+
+
+
+<span class="k">def</span> <span class="nf">_get_spatial_bc_presrat</span><span class="p">(</span>
+    <span class="n">lat_lon</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">,</span>
+    <span class="n">base_dset</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">feature_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">bias_fp</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+    <span class="n">threshold</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.1</span><span class="p">,</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Statistical distributions previously estimated for given lat/lon points</span>
+
+<span class="sd">    Recover the parameters that describe the statistical distribution</span>
+<span class="sd">    previously estimated with :class:`~sup3r.bias.PresRat` for three datasets:</span>
+<span class="sd">    ``base`` (historical reference), ``bias`` (historical biased reference),</span>
+<span class="sd">    and ``bias_fut`` (the future biased dataset, usually the data to correct).</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    lat_lon : ndarray</span>
+<span class="sd">        Array of latitudes and longitudes for the domain to bias correct</span>
+<span class="sd">        (n_lats, n_lons, 2)</span>
+<span class="sd">    base_dset : str</span>
+<span class="sd">        Name of feature used as historical reference. A Dataset with name</span>
+<span class="sd">        &quot;base_{base_dset}_params&quot; will be retrieved from ``bias_fp``.</span>
+<span class="sd">    feature_name : str</span>
+<span class="sd">        Name of the feature that is being corrected. Datasets with names</span>
+<span class="sd">        &quot;bias_{feature_name}_params&quot; and &quot;bias_fut_{feature_name}_params&quot; will</span>
+<span class="sd">        be retrieved from ``bias_fp``.</span>
+<span class="sd">    bias_fp : str</span>
+<span class="sd">        Filepath to bias correction file from the bias calc module. Must have</span>
+<span class="sd">        datasets &quot;base_{base_dset}_params&quot;, &quot;bias_{feature_name}_params&quot;, and</span>
+<span class="sd">        &quot;bias_fut_{feature_name}_params&quot; that define the statistical</span>
+<span class="sd">        distributions.</span>
+<span class="sd">    threshold : float</span>
+<span class="sd">        Nearest neighbor euclidean distance threshold. If the coordinates are</span>
+<span class="sd">        more than this value away from the bias correction lat/lon, an error</span>
+<span class="sd">        is raised.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    dict :</span>
+<span class="sd">        A dictionary containing:</span>
+<span class="sd">        - base : np.array</span>
+<span class="sd">          Parameters used to define the statistical distribution estimated for</span>
+<span class="sd">          the ``base_dset``. It has a shape of (I, J, T, P), where (I, J) are</span>
+<span class="sd">          the same first two dimensions of the given `lat_lon`; T is time in</span>
+<span class="sd">          intervals equally spaced along a year. Check</span>
+<span class="sd">          `cfg[&#39;time_window_center&#39;]` below to map each T to a day of the</span>
+<span class="sd">          year; and P is the number of parameters and depends on the type of</span>
+<span class="sd">          distribution. See :class:`~sup3r.bias.PresRat` for more details.</span>
+<span class="sd">        - bias : np.array</span>
+<span class="sd">          Parameters used to define the statistical distribution estimated for</span>
+<span class="sd">          (historical) ``feature_name``. It has a shape of (I, J, T, P), where</span>
+<span class="sd">          (I, J) are the same first two dimensions of the given `lat_lon`; T</span>
+<span class="sd">          is time in intervals equally spaced along a year. Check</span>
+<span class="sd">          `cfg[&#39;time_window_center&#39;]` to map each T to a day of the year; and P</span>
+<span class="sd">          is the number of parameters and depends on the type of distribution.</span>
+<span class="sd">          See :class:`~sup3r.bias.PresRat` for more details.</span>
+<span class="sd">        - bias_fut : np.array</span>
+<span class="sd">          Parameters used to define the statistical distribution estimated for</span>
+<span class="sd">          (future) ``feature_name``. It has a shape of (I, J, T, P), where</span>
+<span class="sd">          (I, J) are the same first two dimensions of the given `lat_lon`; T</span>
+<span class="sd">          is time in intervals equally spaced along a year. Check</span>
+<span class="sd">          `cfg[&#39;time_window_center&#39;]` to map each T to a day of the year; and</span>
+<span class="sd">          P is the number of parameters used and depends on the type of</span>
+<span class="sd">          distribution.</span>
+<span class="sd">          See :class:`~sup3r.bias.PresRat` for more details.</span>
+<span class="sd">        - bias_tau_fut : np.array</span>
+<span class="sd">          The threshold for negligible magnitudes. Any value smaller than that</span>
+<span class="sd">          should be replaced by zero to preserve the zero (precipitation)</span>
+<span class="sd">          rate. I has dimension of (I, J, dummy), where (I, J) are the same</span>
+<span class="sd">          first two dimensions of the given `lat_lon`; and a dummy 3rd</span>
+<span class="sd">          dimension required due to the way sup3r saves data in an HDF.</span>
+<span class="sd">        - k_factor : np.array</span>
+<span class="sd">          The K factor used to preserve the mean rate of change from the model</span>
+<span class="sd">          (see [Pierce2015]_). It has a shape of (I, J, T), where (I, J) are</span>
+<span class="sd">          the same first two dimensions of the given `lat_lon`; T is time in</span>
+<span class="sd">          intervals equally spaced along a year. Check</span>
+<span class="sd">          `cfg[&#39;time_window_center&#39;]` to map each T to a day of the year.</span>
+<span class="sd">        - cfg</span>
+<span class="sd">          Metadata used to guide how to use of the previous parameters on</span>
+<span class="sd">          reconstructing the statistical distributions. For instance,</span>
+<span class="sd">          `cfg[&#39;dist&#39;]` defines the type of distribution, and</span>
+<span class="sd">          `cfg[&#39;time_window_center&#39;]` maps the dimension T in days of the</span>
+<span class="sd">          year for the dimension T of the parameters above. See</span>
+<span class="sd">          :class:`~sup3r.bias.PresRat` for more details, including which</span>
+<span class="sd">          metadata is saved.</span>
+
+<span class="sd">    Warnings</span>
+<span class="sd">    --------</span>
+<span class="sd">    Be careful selecting which `bias_fp` to use. In particular, if</span>
+<span class="sd">    &quot;bias_fut_{feature_name}_params&quot; is representative for the desired target</span>
+<span class="sd">    period.</span>
+
+<span class="sd">    See Also</span>
+<span class="sd">    --------</span>
+<span class="sd">    sup3r.bias.PresRat</span>
+<span class="sd">        Estimate the statistical distributions loaded here.</span>
+
+<span class="sd">    References</span>
+<span class="sd">    ----------</span>
+<span class="sd">    .. [Pierce2015] Pierce, D. W., Cayan, D. R., Maurer, E. P., Abatzoglou, J.</span>
+<span class="sd">       T., &amp; Hegewisch, K. C. (2015). Improved bias correction techniques for</span>
+<span class="sd">       hydrological simulations of climate change. Journal of Hydrometeorology,</span>
+<span class="sd">       16(6), 2421-2442.</span>
+
+<span class="sd">    Examples</span>
+<span class="sd">    --------</span>
+<span class="sd">    &gt;&gt;&gt; lat_lon = np.array([</span>
+<span class="sd">    ...              [39.649033, -105.46875 ],</span>
+<span class="sd">    ...              [39.649033, -104.765625]])</span>
+<span class="sd">    &gt;&gt;&gt; params = _get_spatial_bc_quantiles(</span>
+<span class="sd">    ...             lat_lon, &quot;ghi&quot;, &quot;rsds&quot;, &quot;./dist_params.hdf&quot;)</span>
+
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">var_names</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="s1">&#39;base&#39;</span><span class="p">:</span> <span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_params&#39;</span><span class="p">,</span>
+        <span class="s1">&#39;bias&#39;</span><span class="p">:</span> <span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="n">feature_name</span><span class="si">}</span><span class="s1">_params&#39;</span><span class="p">,</span>
+        <span class="s1">&#39;bias_fut&#39;</span><span class="p">:</span> <span class="sa">f</span><span class="s1">&#39;bias_fut_</span><span class="si">{</span><span class="n">feature_name</span><span class="si">}</span><span class="s1">_params&#39;</span><span class="p">,</span>
+        <span class="s1">&#39;bias_tau_fut&#39;</span><span class="p">:</span> <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">feature_name</span><span class="si">}</span><span class="s1">_tau_fut&#39;</span><span class="p">,</span>
+        <span class="s1">&#39;k_factor&#39;</span><span class="p">:</span> <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">feature_name</span><span class="si">}</span><span class="s1">_k_factor&#39;</span><span class="p">,</span>
+    <span class="p">}</span>
+    <span class="n">target</span> <span class="o">=</span> <span class="n">lat_lon</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="p">:]</span>
+    <span class="n">shape</span> <span class="o">=</span> <span class="n">lat_lon</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+    <span class="k">return</span> <span class="n">_get_factors</span><span class="p">(</span>
+        <span class="n">target</span><span class="o">=</span><span class="n">target</span><span class="p">,</span>
+        <span class="n">shape</span><span class="o">=</span><span class="n">shape</span><span class="p">,</span>
+        <span class="n">var_names</span><span class="o">=</span><span class="n">var_names</span><span class="p">,</span>
+        <span class="n">bias_fp</span><span class="o">=</span><span class="n">bias_fp</span><span class="p">,</span>
+        <span class="n">threshold</span><span class="o">=</span><span class="n">threshold</span><span class="p">,</span>
+    <span class="p">)</span>
+
+
+<span class="k">def</span> <span class="nf">_apply_presrat_bc</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">time_index</span><span class="p">,</span> <span class="n">base_params</span><span class="p">,</span> <span class="n">bias_params</span><span class="p">,</span>
+                      <span class="n">bias_fut_params</span><span class="p">,</span> <span class="n">bias_tau_fut</span><span class="p">,</span> <span class="n">k_factor</span><span class="p">,</span>
+                      <span class="n">time_window_center</span><span class="p">,</span> <span class="n">dist</span><span class="o">=</span><span class="s1">&#39;empirical&#39;</span><span class="p">,</span> <span class="n">sampling</span><span class="o">=</span><span class="s1">&#39;invlog&#39;</span><span class="p">,</span>
+                      <span class="n">log_base</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">relative</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">no_trend</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+                      <span class="n">delta_denom_min</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">delta_range</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">out_range</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+                      <span class="n">max_workers</span><span class="o">=</span><span class="mi">1</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Run PresRat to bias correct data from input parameters and not from bias</span>
+<span class="sd">    correction file on disk.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    data : np.ndarray</span>
+<span class="sd">        Sup3r input data to be bias corrected, assumed to be 3D with shape</span>
+<span class="sd">        (spatial, spatial, temporal) for a single feature.</span>
+<span class="sd">    time_index : pd.DatetimeIndex</span>
+<span class="sd">        A DatetimeIndex object associated with the input data temporal axis</span>
+<span class="sd">        (assumed 3rd axis e.g. axis=2).</span>
+<span class="sd">    base_params : np.ndarray</span>
+<span class="sd">        4D array of **observed historical** distribution parameters created</span>
+<span class="sd">        from a multi-year set of data where the shape is</span>
+<span class="sd">        (space, space, time, N). This can be the</span>
+<span class="sd">        output of a parametric distribution fit like</span>
+<span class="sd">        ``scipy.stats.weibull_min.fit()`` where N is the number of parameters</span>
+<span class="sd">        for that distribution, or this can define the x-values of N points from</span>
+<span class="sd">        an empirical CDF that will be linearly interpolated between. If this is</span>
+<span class="sd">        an empirical CDF, this must include the 0th and 100th percentile values</span>
+<span class="sd">        and have even percentile spacing between values.</span>
+<span class="sd">    bias_params : np.ndarray</span>
+<span class="sd">        Same requirements as params_oh. This input arg is for the **modeled</span>
+<span class="sd">        historical distribution**.</span>
+<span class="sd">    bias_fut_params : np.ndarray | None</span>
+<span class="sd">        Same requirements as params_oh. This input arg is for the **modeled</span>
+<span class="sd">        future distribution**. If this is None, this defaults to params_mh</span>
+<span class="sd">        (no future data, just corrected to modeled historical distribution)</span>
+<span class="sd">    bias_tau_fut : np.ndarray</span>
+<span class="sd">        Zero precipitation threshold for future data calculated from presrat</span>
+<span class="sd">        without temporal dependence with shape (spatial, spatial, 1)</span>
+<span class="sd">    k_factor : np.ndarray</span>
+<span class="sd">        K factor from the presrat method with shape (spatial, spatial, N) where</span>
+<span class="sd">        N is the number of time observations at which the bias correction is</span>
+<span class="sd">        calculated</span>
+<span class="sd">    time_window_center : np.ndarray</span>
+<span class="sd">        Sequence of days of the year equally spaced and shifted by half</span>
+<span class="sd">        window size, thus `ntimes`=12 results in approximately [15, 45,</span>
+<span class="sd">        ...]. It includes the fraction of a day, thus 15.5 is equivalent</span>
+<span class="sd">        to January 15th, 12:00h. Shape is (N,)</span>
+<span class="sd">    dist : str</span>
+<span class="sd">        Probability distribution name to use to model the data which</span>
+<span class="sd">        determines how the param args are used. This can &quot;empirical&quot; or any</span>
+<span class="sd">        continuous distribution name from ``scipy.stats``.</span>
+<span class="sd">    sampling : str | np.ndarray</span>
+<span class="sd">        If dist=&quot;empirical&quot;, this is an option for how the quantiles were</span>
+<span class="sd">        sampled to produce the params inputs, e.g., how to sample the</span>
+<span class="sd">        y-axis of the distribution (see sampling functions in</span>
+<span class="sd">        ``rex.utilities.bc_utils``). &quot;linear&quot; will do even spacing, &quot;log&quot;</span>
+<span class="sd">        will concentrate samples near quantile=0, and &quot;invlog&quot; will</span>
+<span class="sd">        concentrate samples near quantile=1. Can also be a 1D array of dist</span>
+<span class="sd">        inputs if being used from reV, but they must all be the same</span>
+<span class="sd">        option.</span>
+<span class="sd">    log_base : int | float | np.ndarray</span>
+<span class="sd">        Log base value if sampling is &quot;log&quot; or &quot;invlog&quot;. A higher value</span>
+<span class="sd">        will concentrate more samples at the extreme sides of the</span>
+<span class="sd">        distribution. Can also be a 1D array of dist inputs if being used</span>
+<span class="sd">        from reV, but they must all be the same option.</span>
+<span class="sd">    relative : bool | np.ndarray</span>
+<span class="sd">        Flag to preserve relative rather than absolute changes in</span>
+<span class="sd">        quantiles. relative=False (default) will multiply by the change in</span>
+<span class="sd">        quantiles while relative=True will add. See Equations 4-6 from</span>
+<span class="sd">        Cannon et al., 2015 for more details. Can also be a 1D array of</span>
+<span class="sd">        dist inputs if being used from reV, but they must all be the same</span>
+<span class="sd">        option.</span>
+<span class="sd">    no_trend : bool, default=False</span>
+<span class="sd">        An option to ignore the trend component of the correction, thus</span>
+<span class="sd">        resulting in an ordinary Quantile Mapping, i.e. corrects the bias by</span>
+<span class="sd">        comparing the distributions of the biased dataset with a reference</span>
+<span class="sd">        datasets, without reinforcing the zero rate or applying the k-factor.</span>
+<span class="sd">        See ``params_mf`` of</span>
+<span class="sd">        :class:`rex.utilities.bc_utils.QuantileDeltaMapping`. Note that this</span>
+<span class="sd">        assumes that params_mh is the data distribution representative for the</span>
+<span class="sd">        target data.</span>
+<span class="sd">    delta_denom_min : float | None</span>
+<span class="sd">        Option to specify a minimum value for the denominator term in the</span>
+<span class="sd">        calculation of a relative delta value. This prevents division by a</span>
+<span class="sd">        very small number making delta blow up and resulting in very large</span>
+<span class="sd">        output bias corrected values. See equation 4 of Cannon et al., 2015</span>
+<span class="sd">        for the delta term. If this is not set, the ``zero_rate_threshold``</span>
+<span class="sd">        calculated as part of the presrat bias calculation will be used</span>
+<span class="sd">    delta_range : tuple | None</span>
+<span class="sd">        Option to set a (min, max) on the delta term in QDM. This can help</span>
+<span class="sd">        prevent QDM from making non-realistic increases/decreases in</span>
+<span class="sd">        otherwise physical values. See equation 4 of Cannon et al., 2015 for</span>
+<span class="sd">        the delta term.</span>
+<span class="sd">    out_range : None | tuple</span>
+<span class="sd">        Option to set floor/ceiling values on the output data.</span>
+<span class="sd">    max_workers : int | None</span>
+<span class="sd">        Max number of workers to use for QDM process pool</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">data_unbiased</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">full_like</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">)</span>
+    <span class="n">closest_time_idx</span> <span class="o">=</span> <span class="nb">abs</span><span class="p">(</span><span class="n">time_window_center</span><span class="p">[:,</span> <span class="n">np</span><span class="o">.</span><span class="n">newaxis</span><span class="p">]</span>
+                           <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">time_index</span><span class="o">.</span><span class="n">day_of_year</span><span class="p">))</span>
+    <span class="n">closest_time_idx</span> <span class="o">=</span> <span class="n">closest_time_idx</span><span class="o">.</span><span class="n">argmin</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+
+    <span class="k">for</span> <span class="n">nt</span> <span class="ow">in</span> <span class="nb">set</span><span class="p">(</span><span class="n">closest_time_idx</span><span class="p">):</span>
+        <span class="n">subset_idx</span> <span class="o">=</span> <span class="n">closest_time_idx</span> <span class="o">==</span> <span class="n">nt</span>
+        <span class="n">subset</span> <span class="o">=</span> <span class="n">data</span><span class="p">[:,</span> <span class="p">:,</span> <span class="n">subset_idx</span><span class="p">]</span>
+        <span class="n">oh</span> <span class="o">=</span> <span class="n">base_params</span><span class="p">[:,</span> <span class="p">:,</span> <span class="n">nt</span><span class="p">]</span>
+        <span class="n">mh</span> <span class="o">=</span> <span class="n">bias_params</span><span class="p">[:,</span> <span class="p">:,</span> <span class="n">nt</span><span class="p">]</span>
+        <span class="n">mf</span> <span class="o">=</span> <span class="n">bias_fut_params</span><span class="p">[:,</span> <span class="p">:,</span> <span class="n">nt</span><span class="p">]</span>
+
+        <span class="n">mf</span> <span class="o">=</span> <span class="kc">None</span> <span class="k">if</span> <span class="n">no_trend</span> <span class="k">else</span> <span class="n">mf</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">mf</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
+
+        <span class="c1"># The distributions are 3D (space, space, N-params)</span>
+        <span class="c1"># Collapse 3D (space, space, N) into 2D (space**2, N)</span>
+        <span class="n">QDM</span> <span class="o">=</span> <span class="n">QuantileDeltaMapping</span><span class="p">(</span><span class="n">oh</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">oh</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]),</span>
+                                   <span class="n">mh</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">mh</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]),</span>
+                                   <span class="n">mf</span><span class="p">,</span>
+                                   <span class="n">dist</span><span class="o">=</span><span class="n">dist</span><span class="p">,</span>
+                                   <span class="n">relative</span><span class="o">=</span><span class="n">relative</span><span class="p">,</span>
+                                   <span class="n">sampling</span><span class="o">=</span><span class="n">sampling</span><span class="p">,</span>
+                                   <span class="n">log_base</span><span class="o">=</span><span class="n">log_base</span><span class="p">,</span>
+                                   <span class="n">delta_denom_min</span><span class="o">=</span><span class="n">delta_denom_min</span><span class="p">,</span>
+                                   <span class="n">delta_range</span><span class="o">=</span><span class="n">delta_range</span><span class="p">,</span>
+                                   <span class="p">)</span>
+
+        <span class="c1"># input 3D shape (spatial, spatial, temporal)</span>
+        <span class="c1"># QDM expects input arr with shape (time, space)</span>
+        <span class="n">tmp</span> <span class="o">=</span> <span class="n">subset</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">subset</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span><span class="o">.</span><span class="n">T</span>
+        <span class="c1"># Apply QDM correction</span>
+        <span class="n">tmp</span> <span class="o">=</span> <span class="n">QDM</span><span class="p">(</span><span class="n">tmp</span><span class="p">,</span> <span class="n">max_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">)</span>
+        <span class="c1"># Reorgnize array back from  (time, space)</span>
+        <span class="c1"># to (spatial, spatial, temporal)</span>
+        <span class="n">subset</span> <span class="o">=</span> <span class="n">tmp</span><span class="o">.</span><span class="n">T</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">subset</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+
+        <span class="c1"># If no trend, it doesn&#39;t make sense to correct for zero rate or</span>
+        <span class="c1"># apply the k-factor, but limit to QDM only.</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">no_trend</span><span class="p">:</span>
+            <span class="n">subset</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">subset</span> <span class="o">&lt;</span> <span class="n">bias_tau_fut</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="n">subset</span><span class="p">)</span>
+            <span class="n">subset</span> <span class="o">=</span> <span class="n">subset</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">k_factor</span><span class="p">[:,</span> <span class="p">:,</span> <span class="n">nt</span><span class="p">:</span><span class="n">nt</span> <span class="o">+</span> <span class="mi">1</span><span class="p">])</span>
+
+        <span class="n">data_unbiased</span><span class="p">[:,</span> <span class="p">:,</span> <span class="n">subset_idx</span><span class="p">]</span> <span class="o">=</span> <span class="n">subset</span>
+
+    <span class="k">if</span> <span class="n">out_range</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">data_unbiased</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">maximum</span><span class="p">(</span><span class="n">data_unbiased</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">out_range</span><span class="p">))</span>
+        <span class="n">data_unbiased</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">minimum</span><span class="p">(</span><span class="n">data_unbiased</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">out_range</span><span class="p">))</span>
+
+    <span class="k">if</span> <span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">data_unbiased</span><span class="p">)</span><span class="o">.</span><span class="n">any</span><span class="p">():</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;Presrat bias correction resulted in NaN values! If this is a &#39;</span>
+               <span class="s1">&#39;relative QDM, you may try setting ``delta_denom_min`` or &#39;</span>
+               <span class="s1">&#39;``delta_denom_zero``&#39;</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">data_unbiased</span>
+
+
+<div class="viewcode-block" id="local_presrat_bc">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.bias_transforms.local_presrat_bc.html#sup3r.bias.bias_transforms.local_presrat_bc">[docs]</a>
+<span class="k">def</span> <span class="nf">local_presrat_bc</span><span class="p">(</span><span class="n">data</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span>
+                     <span class="n">lat_lon</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span>
+                     <span class="n">base_dset</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+                     <span class="n">feature_name</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+                     <span class="n">bias_fp</span><span class="p">,</span>
+                     <span class="n">date_range_kwargs</span><span class="p">:</span> <span class="nb">dict</span><span class="p">,</span>
+                     <span class="n">lr_padded_slice</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+                     <span class="n">threshold</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span>
+                     <span class="n">relative</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                     <span class="n">no_trend</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+                     <span class="n">delta_denom_min</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+                     <span class="n">delta_range</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+                     <span class="n">k_range</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+                     <span class="n">out_range</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+                     <span class="n">max_workers</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+                     <span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Bias correction using PresRat</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    data : np.ndarray</span>
+<span class="sd">        Sup3r input data to be bias corrected, assumed to be 3D with shape</span>
+<span class="sd">        (spatial, spatial, temporal) for a single feature.</span>
+<span class="sd">    lat_lon : np.ndarray</span>
+<span class="sd">        Array of latitudes and longitudes for the domain to bias correct</span>
+<span class="sd">        (n_lats, n_lons, 2)</span>
+<span class="sd">    base_dset :</span>
+<span class="sd">        Name of feature that is used as (historical) reference. Dataset with</span>
+<span class="sd">        names &quot;base_{base_dset}_params&quot; will be retrieved.</span>
+<span class="sd">    feature_name : str</span>
+<span class="sd">        Name of feature that is being corrected. Datasets with names</span>
+<span class="sd">        &quot;bias_{feature_name}_params&quot; and &quot;bias_fut_{feature_name}_params&quot; will</span>
+<span class="sd">        be retrieved.</span>
+<span class="sd">    bias_fp : str</span>
+<span class="sd">        Filepath to statistical distributions file from the bias calc module.</span>
+<span class="sd">        Must have datasets &quot;bias_{feature_name}_params&quot;,</span>
+<span class="sd">        &quot;bias_fut_{feature_name}_params&quot;, and &quot;base_{base_dset}_params&quot; that</span>
+<span class="sd">        are the parameters to define the statistical distributions to be used</span>
+<span class="sd">        to correct the given `data`.</span>
+<span class="sd">    date_range_kwargs : dict</span>
+<span class="sd">        Keyword args for pd.date_range to produce a DatetimeIndex object</span>
+<span class="sd">        associated with the input data temporal axis (assumed 3rd axis e.g.</span>
+<span class="sd">        axis=2). Note that if this method is called as part of a sup3r</span>
+<span class="sd">        resolution forward pass, the date_range_kwargs will be included</span>
+<span class="sd">        automatically for the current chunk.</span>
+<span class="sd">    lr_padded_slice : tuple | None</span>
+<span class="sd">        Tuple of length four that slices (spatial_1, spatial_2, temporal,</span>
+<span class="sd">        features) where each tuple entry is a slice object for that axes.</span>
+<span class="sd">        Note that if this method is called as part of a sup3r forward pass, the</span>
+<span class="sd">        lr_padded_slice will be included automatically in the kwargs for the</span>
+<span class="sd">        active chunk. If this is None, no slicing will be done and the full</span>
+<span class="sd">        bias correction source shape will be used.</span>
+<span class="sd">    threshold : float</span>
+<span class="sd">        Nearest neighbor euclidean distance threshold. If the coordinates are</span>
+<span class="sd">        more than this value away from the bias correction lat/lon, an error</span>
+<span class="sd">        is raised.</span>
+<span class="sd">    relative : bool</span>
+<span class="sd">        Apply QDM correction as a relative factor (product), otherwise, it is</span>
+<span class="sd">        applied as an offset (sum).</span>
+<span class="sd">    no_trend : bool, default=False</span>
+<span class="sd">        An option to ignore the trend component of the correction, thus</span>
+<span class="sd">        resulting in an ordinary Quantile Mapping, i.e. corrects the bias by</span>
+<span class="sd">        comparing the distributions of the biased dataset with a reference</span>
+<span class="sd">        datasets, without reinforcing the zero rate or applying the k-factor.</span>
+<span class="sd">        See ``params_mf`` of</span>
+<span class="sd">        :class:`rex.utilities.bc_utils.QuantileDeltaMapping`. Note that this</span>
+<span class="sd">        assumes that params_mh is the data distribution representative for the</span>
+<span class="sd">        target data.</span>
+<span class="sd">    delta_denom_min : float | None</span>
+<span class="sd">        Option to specify a minimum value for the denominator term in the</span>
+<span class="sd">        calculation of a relative delta value. This prevents division by a</span>
+<span class="sd">        very small number making delta blow up and resulting in very large</span>
+<span class="sd">        output bias corrected values. See equation 4 of Cannon et al., 2015</span>
+<span class="sd">        for the delta term. If this is not set, the ``zero_rate_threshold``</span>
+<span class="sd">        calculated as part of the presrat bias calculation will be used</span>
+<span class="sd">    delta_range : tuple | None</span>
+<span class="sd">        Option to set a (min, max) on the delta term in QDM. This can help</span>
+<span class="sd">        prevent QDM from making non-realistic increases/decreases in</span>
+<span class="sd">        otherwise physical values. See equation 4 of Cannon et al., 2015 for</span>
+<span class="sd">        the delta term.</span>
+<span class="sd">    k_range : tuple | None</span>
+<span class="sd">        Option to set a (min, max) value for the k-factor multiplier</span>
+<span class="sd">    out_range : None | tuple</span>
+<span class="sd">        Option to set floor/ceiling values on the output data.</span>
+<span class="sd">    max_workers : int | None</span>
+<span class="sd">        Max number of workers to use for QDM process pool</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">time_index</span> <span class="o">=</span> <span class="n">make_time_index_from_kws</span><span class="p">(</span><span class="n">date_range_kwargs</span><span class="p">)</span>
+    <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;data was expected to be a 3D array but got shape </span><span class="si">{</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">&#39;</span>
+    <span class="k">assert</span> <span class="n">data</span><span class="o">.</span><span class="n">ndim</span> <span class="o">==</span> <span class="mi">3</span><span class="p">,</span> <span class="n">msg</span>
+    <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Time should align with data 3rd dimension but got data &#39;</span>
+           <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1"> and time_index length &#39;</span>
+           <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">time_index</span><span class="o">.</span><span class="n">size</span><span class="si">}</span><span class="s1">: </span><span class="si">{</span><span class="n">time_index</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+    <span class="k">assert</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="n">time_index</span><span class="o">.</span><span class="n">size</span><span class="p">,</span> <span class="n">msg</span>
+
+    <span class="n">params</span> <span class="o">=</span> <span class="n">_get_spatial_bc_presrat</span><span class="p">(</span>
+        <span class="n">lat_lon</span><span class="p">,</span> <span class="n">base_dset</span><span class="p">,</span> <span class="n">feature_name</span><span class="p">,</span> <span class="n">bias_fp</span><span class="p">,</span> <span class="n">threshold</span>
+    <span class="p">)</span>
+    <span class="n">cfg</span> <span class="o">=</span> <span class="n">params</span><span class="p">[</span><span class="s1">&#39;cfg&#39;</span><span class="p">]</span>
+    <span class="n">time_window_center</span> <span class="o">=</span> <span class="n">cfg</span><span class="p">[</span><span class="s1">&#39;time_window_center&#39;</span><span class="p">]</span>
+    <span class="n">data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+    <span class="n">base_params</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">params</span><span class="p">[</span><span class="s1">&#39;base&#39;</span><span class="p">])</span>
+    <span class="n">bias_params</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">params</span><span class="p">[</span><span class="s1">&#39;bias&#39;</span><span class="p">])</span>
+    <span class="n">bias_fut_params</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">params</span><span class="p">[</span><span class="s1">&#39;bias_fut&#39;</span><span class="p">])</span>
+    <span class="n">bias_tau_fut</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">params</span><span class="p">[</span><span class="s1">&#39;bias_tau_fut&#39;</span><span class="p">])</span>
+    <span class="n">k_factor</span> <span class="o">=</span> <span class="n">params</span><span class="p">[</span><span class="s1">&#39;k_factor&#39;</span><span class="p">]</span>
+    <span class="n">dist</span> <span class="o">=</span> <span class="n">cfg</span><span class="p">[</span><span class="s1">&#39;dist&#39;</span><span class="p">]</span>
+    <span class="n">sampling</span> <span class="o">=</span> <span class="n">cfg</span><span class="p">[</span><span class="s1">&#39;sampling&#39;</span><span class="p">]</span>
+    <span class="n">log_base</span> <span class="o">=</span> <span class="n">cfg</span><span class="p">[</span><span class="s1">&#39;log_base&#39;</span><span class="p">]</span>
+    <span class="n">zero_rate_threshold</span> <span class="o">=</span> <span class="n">cfg</span><span class="p">[</span><span class="s1">&#39;zero_rate_threshold&#39;</span><span class="p">]</span>
+    <span class="n">delta_denom_min</span> <span class="o">=</span> <span class="n">delta_denom_min</span> <span class="ow">or</span> <span class="n">zero_rate_threshold</span>
+
+    <span class="k">if</span> <span class="n">k_range</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">k_factor</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">maximum</span><span class="p">(</span><span class="n">k_factor</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">k_range</span><span class="p">))</span>
+        <span class="n">k_factor</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">minimum</span><span class="p">(</span><span class="n">k_factor</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">k_range</span><span class="p">))</span>
+
+    <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Presrat K Factor has shape </span><span class="si">{</span><span class="n">k_factor</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1"> and ranges &#39;</span>
+                 <span class="sa">f</span><span class="s1">&#39;from </span><span class="si">{</span><span class="n">k_factor</span><span class="o">.</span><span class="n">min</span><span class="p">()</span><span class="si">}</span><span class="s1"> to </span><span class="si">{</span><span class="n">k_factor</span><span class="o">.</span><span class="n">max</span><span class="p">()</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+
+    <span class="k">if</span> <span class="n">lr_padded_slice</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">spatial_slice</span> <span class="o">=</span> <span class="p">(</span><span class="n">lr_padded_slice</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">lr_padded_slice</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+        <span class="n">base_params</span> <span class="o">=</span> <span class="n">base_params</span><span class="p">[</span><span class="n">spatial_slice</span><span class="p">]</span>
+        <span class="n">bias_params</span> <span class="o">=</span> <span class="n">bias_params</span><span class="p">[</span><span class="n">spatial_slice</span><span class="p">]</span>
+        <span class="n">bias_fut_params</span> <span class="o">=</span> <span class="n">bias_fut_params</span><span class="p">[</span><span class="n">spatial_slice</span><span class="p">]</span>
+
+    <span class="n">data_unbiased</span> <span class="o">=</span> <span class="n">_apply_presrat_bc</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">time_index</span><span class="p">,</span> <span class="n">base_params</span><span class="p">,</span>
+                                      <span class="n">bias_params</span><span class="p">,</span> <span class="n">bias_fut_params</span><span class="p">,</span>
+                                      <span class="n">bias_tau_fut</span><span class="p">,</span> <span class="n">k_factor</span><span class="p">,</span>
+                                      <span class="n">time_window_center</span><span class="p">,</span> <span class="n">dist</span><span class="o">=</span><span class="n">dist</span><span class="p">,</span>
+                                      <span class="n">sampling</span><span class="o">=</span><span class="n">sampling</span><span class="p">,</span> <span class="n">log_base</span><span class="o">=</span><span class="n">log_base</span><span class="p">,</span>
+                                      <span class="n">relative</span><span class="o">=</span><span class="n">relative</span><span class="p">,</span> <span class="n">no_trend</span><span class="o">=</span><span class="n">no_trend</span><span class="p">,</span>
+                                      <span class="n">delta_denom_min</span><span class="o">=</span><span class="n">delta_denom_min</span><span class="p">,</span>
+                                      <span class="n">delta_range</span><span class="o">=</span><span class="n">delta_range</span><span class="p">,</span>
+                                      <span class="n">out_range</span><span class="o">=</span><span class="n">out_range</span><span class="p">,</span>
+                                      <span class="n">max_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">data_unbiased</span></div>
+
+</pre></div>
+
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+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1></h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <h1>Source code for sup3r.bias.mixins</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Mixin classes to support bias calculation&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">from</span> <span class="nn">scipy.ndimage</span> <span class="kn">import</span> <span class="n">gaussian_filter</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.utilities.utilities</span> <span class="kn">import</span> <span class="n">nn_fill_array</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="FillAndSmoothMixin">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.mixins.FillAndSmoothMixin.html#sup3r.bias.mixins.FillAndSmoothMixin">[docs]</a>
+<span class="k">class</span> <span class="nc">FillAndSmoothMixin</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Fill and extend parameters for calibration on missing positions</span>
+
+<span class="sd">    TODO: replace nn_fill_array call with `Sup3rX.interpolate_na` method</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="FillAndSmoothMixin.fill_and_smooth">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.mixins.FillAndSmoothMixin.html#sup3r.bias.mixins.FillAndSmoothMixin.fill_and_smooth">[docs]</a>
+    <span class="k">def</span> <span class="nf">fill_and_smooth</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span> <span class="n">out</span><span class="p">,</span> <span class="n">fill_extend</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">smooth_extend</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">smooth_interior</span><span class="o">=</span><span class="mi">0</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;For a given set of parameters, fill and extend missing positions</span>
+
+<span class="sd">        Fill data extending beyond the base meta data extent by doing a</span>
+<span class="sd">        nearest neighbor gap fill. Smooth interior and extended region with</span>
+<span class="sd">        given smoothing values.</span>
+<span class="sd">        Interior smoothing can reduce the affect of extreme values</span>
+<span class="sd">        within aggregations over large number of pixels.</span>
+<span class="sd">        The interior is assumed to be defined by the region without nan values.</span>
+<span class="sd">        The extended region is assumed to be the region with nan values.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        out : dict</span>
+<span class="sd">            Dictionary of values defining the mean/std of the bias + base</span>
+<span class="sd">            data and the scalar + adder factors to correct the biased data</span>
+<span class="sd">            like: bias_data * scalar + adder. Each value is of shape</span>
+<span class="sd">            (lat, lon, time).</span>
+<span class="sd">        fill_extend : bool</span>
+<span class="sd">            Whether to fill data extending beyond the base meta data with</span>
+<span class="sd">            nearest neighbor values.</span>
+<span class="sd">        smooth_extend : float</span>
+<span class="sd">            Option to smooth the scalar/adder data outside of the spatial</span>
+<span class="sd">            domain set by the threshold input. This alleviates the weird seams</span>
+<span class="sd">            far from the domain of interest. This value is the standard</span>
+<span class="sd">            deviation for the gaussian_filter kernel</span>
+<span class="sd">        smooth_interior : float</span>
+<span class="sd">            Value to use to smooth the scalar/adder data inside of the spatial</span>
+<span class="sd">            domain set by the threshold input. This can reduce the effect of</span>
+<span class="sd">            extreme values within aggregations over large number of pixels.</span>
+<span class="sd">            This value is the standard deviation for the gaussian_filter</span>
+<span class="sd">            kernel.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out : dict</span>
+<span class="sd">            Dictionary of values defining the mean/std of the bias + base</span>
+<span class="sd">            data and the scalar + adder factors to correct the biased data</span>
+<span class="sd">            like: bias_data * scalar + adder. Each value is of shape</span>
+<span class="sd">            (lat, lon, time).</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bad_bias_gids</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="s1">&#39;Found </span><span class="si">{}</span><span class="s1"> bias gids that are out of bounds: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bad_bias_gids</span><span class="p">),</span> <span class="bp">self</span><span class="o">.</span><span class="n">bad_bias_gids</span>
+                <span class="p">)</span>
+            <span class="p">)</span>
+
+        <span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">arr</span> <span class="ow">in</span> <span class="n">out</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+            <span class="n">nan_mask</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">arr</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">0</span><span class="p">])</span>
+            <span class="k">for</span> <span class="n">idt</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">arr</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]):</span>
+                <span class="n">arr_smooth</span> <span class="o">=</span> <span class="n">arr</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">idt</span><span class="p">]</span>
+
+                <span class="n">needs_fill</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">arr_smooth</span><span class="p">)</span><span class="o">.</span><span class="n">any</span><span class="p">()</span> <span class="ow">and</span> <span class="n">fill_extend</span>
+                <span class="p">)</span> <span class="ow">or</span> <span class="n">smooth_interior</span> <span class="o">&gt;</span> <span class="mi">0</span>
+
+                <span class="k">if</span> <span class="n">needs_fill</span><span class="p">:</span>
+                    <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                        <span class="s1">&#39;Filling NaN values outside of valid spatial &#39;</span>
+                        <span class="s1">&#39;extent for dataset &quot;</span><span class="si">{}</span><span class="s1">&quot; for timestep </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                            <span class="n">key</span><span class="p">,</span> <span class="n">idt</span>
+                        <span class="p">)</span>
+                    <span class="p">)</span>
+                    <span class="n">arr_smooth</span> <span class="o">=</span> <span class="n">nn_fill_array</span><span class="p">(</span><span class="n">arr_smooth</span><span class="p">)</span>
+
+                <span class="n">arr_smooth_int</span> <span class="o">=</span> <span class="n">arr_smooth_ext</span> <span class="o">=</span> <span class="n">arr_smooth</span>
+
+                <span class="k">if</span> <span class="n">smooth_extend</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+                    <span class="n">arr_smooth_ext</span> <span class="o">=</span> <span class="n">gaussian_filter</span><span class="p">(</span>
+                        <span class="n">arr_smooth_ext</span><span class="p">,</span> <span class="n">smooth_extend</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;nearest&#39;</span>
+                    <span class="p">)</span>
+
+                <span class="k">if</span> <span class="n">smooth_interior</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+                    <span class="n">arr_smooth_int</span> <span class="o">=</span> <span class="n">gaussian_filter</span><span class="p">(</span>
+                        <span class="n">arr_smooth_int</span><span class="p">,</span> <span class="n">smooth_interior</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;nearest&#39;</span>
+                    <span class="p">)</span>
+
+                <span class="n">out</span><span class="p">[</span><span class="n">key</span><span class="p">][</span><span class="n">nan_mask</span><span class="p">,</span> <span class="n">idt</span><span class="p">]</span> <span class="o">=</span> <span class="n">arr_smooth_ext</span><span class="p">[</span><span class="n">nan_mask</span><span class="p">]</span>
+                <span class="n">out</span><span class="p">[</span><span class="n">key</span><span class="p">][</span><span class="o">~</span><span class="n">nan_mask</span><span class="p">,</span> <span class="n">idt</span><span class="p">]</span> <span class="o">=</span> <span class="n">arr_smooth_int</span><span class="p">[</span><span class="o">~</span><span class="n">nan_mask</span><span class="p">]</span>
+
+        <span class="k">return</span> <span class="n">out</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="ZeroRateMixin">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.mixins.ZeroRateMixin.html#sup3r.bias.mixins.ZeroRateMixin">[docs]</a>
+<span class="k">class</span> <span class="nc">ZeroRateMixin</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Estimate zero rate</span>
+
+<span class="sd">    [Pierce2015]_.</span>
+
+<span class="sd">    References</span>
+<span class="sd">    ----------</span>
+<span class="sd">    .. [Pierce2015] Pierce, D. W., Cayan, D. R., Maurer, E. P., Abatzoglou, J.</span>
+<span class="sd">       T., &amp; Hegewisch, K. C. (2015). Improved bias correction techniques for</span>
+<span class="sd">       hydrological simulations of climate change. Journal of Hydrometeorology,</span>
+<span class="sd">       16(6), 2421-2442.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="ZeroRateMixin.zero_precipitation_rate">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.mixins.ZeroRateMixin.html#sup3r.bias.mixins.ZeroRateMixin.zero_precipitation_rate">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">zero_precipitation_rate</span><span class="p">(</span><span class="n">arr</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">threshold</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.0</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Rate of (nearly) zero precipitation days</span>
+
+<span class="sd">        Estimate the rate of values less than a given ``threshold``. In concept</span>
+<span class="sd">        the threshold would be zero (thus the name zero precipitation rate)</span>
+<span class="sd">        but it is often used a small threshold to truncate negligible values.</span>
+<span class="sd">        For instance, [Pierce2015]_ uses 0.01 mm/day for PresRat correction.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        arr : np.ndarray</span>
+<span class="sd">            An array of values to be analyzed. Usually precipitation but it</span>
+<span class="sd">            could be applied to other quantities.</span>
+<span class="sd">        threshold : float</span>
+<span class="sd">            Minimum value accepted. Less than that is assumed to be zero.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        rate : float</span>
+<span class="sd">            Rate of days with negligible precipitation (see Z_gf in</span>
+<span class="sd">            [Pierce2015]_).</span>
+
+<span class="sd">        Notes</span>
+<span class="sd">        -----</span>
+<span class="sd">        The ``NaN`` are ignored for the rate estimate. Therefore, a large</span>
+<span class="sd">        number of ``NaN`` might compromise the confidence of the estimator.</span>
+
+<span class="sd">        If the input values are all non-finite, it returns NaN.</span>
+
+<span class="sd">        Examples</span>
+<span class="sd">        --------</span>
+<span class="sd">        &gt;&gt;&gt; ZeroRateMixin().zero_precipitation_rate([2, 3, 4], 1)</span>
+<span class="sd">        0.0</span>
+
+<span class="sd">        &gt;&gt;&gt; ZeroRateMixin().zero_precipitation_rate([0, 1, 2, 3], 1)</span>
+<span class="sd">        0.25</span>
+
+<span class="sd">        &gt;&gt;&gt; ZeroRateMixin().zero_precipitation_rate([0, 1, 2, 3, np.nan], 1)</span>
+<span class="sd">        0.25</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">idx</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">isfinite</span><span class="p">(</span><span class="n">arr</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">((</span><span class="n">arr</span><span class="p">[</span><span class="n">idx</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="n">threshold</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s1">&#39;i&#39;</span><span class="p">))</span></div>
+</div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.bias.presrat</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;QDM related methods to correct and bias and trend</span>
+
+<span class="sd">Procedures to apply Quantile Delta Method correction and derived methods such</span>
+<span class="sd">as PresRat.</span>
+<span class="sd">&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">copy</span>
+<span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">from</span> <span class="nn">concurrent.futures</span> <span class="kn">import</span> <span class="n">ProcessPoolExecutor</span><span class="p">,</span> <span class="n">as_completed</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Optional</span>
+
+<span class="kn">import</span> <span class="nn">h5py</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">from</span> <span class="nn">rex.utilities.bc_utils</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">QuantileDeltaMapping</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing</span> <span class="kn">import</span> <span class="n">DataHandler</span>
+
+<span class="kn">from</span> <span class="nn">.mixins</span> <span class="kn">import</span> <span class="n">ZeroRateMixin</span>
+<span class="kn">from</span> <span class="nn">.qdm</span> <span class="kn">import</span> <span class="n">QuantileDeltaMappingCorrection</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="PresRat">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat">[docs]</a>
+<span class="k">class</span> <span class="nc">PresRat</span><span class="p">(</span><span class="n">ZeroRateMixin</span><span class="p">,</span> <span class="n">QuantileDeltaMappingCorrection</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;PresRat bias correction method (precipitation)</span>
+
+<span class="sd">    The PresRat correction [Pierce2015]_ is defined as the combination of</span>
+<span class="sd">    three steps:</span>
+<span class="sd">    * Use the model-predicted change ratio (with the CDFs);</span>
+<span class="sd">    * The treatment of zero-precipitation days (with the fraction of dry days);</span>
+<span class="sd">    * The final correction factor (K) to preserve the mean (ratio between both</span>
+<span class="sd">    estimated means);</span>
+
+<span class="sd">    To keep consistency with the full sup3r pipeline, PresRat was implemented</span>
+<span class="sd">    as follows:</span>
+
+<span class="sd">    1) Define zero rate from observations (oh)</span>
+
+<span class="sd">    Using the historical observations, estimate the zero rate precipitation</span>
+<span class="sd">    for each gridpoint. It is expected a long time series here, such as</span>
+<span class="sd">    decadal or longer. A threshold larger than zero is an option here.</span>
+
+<span class="sd">    The result is a 2D (space) `zero_rate` (non-dimensional).</span>
+
+<span class="sd">    2) Find the threshold for each gridpoint (mh)</span>
+
+<span class="sd">    Using the zero rate from the previous step, identify the magnitude</span>
+<span class="sd">    threshold for each gridpoint that satisfies that dry days rate.</span>
+
+<span class="sd">    Note that Pierce (2015) impose `tau` &gt;= 0.01 mm/day for precipitation.</span>
+
+<span class="sd">    The result is a 2D (space) threshold `tau` with the same dimensions</span>
+<span class="sd">    of the data been corrected. For instance, it could be mm/day for</span>
+<span class="sd">    precipitation.</span>
+
+<span class="sd">    3) Define `Z_fg` using `tau` (mf)</span>
+
+<span class="sd">    The `tau` that was defined with the *modeled historical*, is now</span>
+<span class="sd">    used as a threshold on *modeled future* before any correction to define</span>
+<span class="sd">    the equivalent zero rate in the future.</span>
+
+<span class="sd">    The result is a 2D (space) rate (non-dimensional)</span>
+
+<span class="sd">    4) Estimate `tau_fut` using `Z_fg`</span>
+
+<span class="sd">    Since sup3r process data in smaller chunks, it wouldn&#39;t be possible to</span>
+<span class="sd">    apply the rate `Z_fg` directly. To address that, all *modeled future*</span>
+<span class="sd">    data is corrected with QDM, and applying `Z_fg` it is defined the</span>
+<span class="sd">    `tau_fut`.</span>
+
+<span class="sd">    References</span>
+<span class="sd">    ----------</span>
+<span class="sd">    .. [Pierce2015] Pierce, D. W., Cayan, D. R., Maurer, E. P., Abatzoglou, J.</span>
+<span class="sd">       T., &amp; Hegewisch, K. C. (2015). Improved bias correction techniques for</span>
+<span class="sd">       hydrological simulations of climate change. Journal of Hydrometeorology,</span>
+<span class="sd">       16(6), 2421-2442.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="nf">_init_out</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">_init_out</span><span class="p">()</span>
+
+        <span class="n">shape</span> <span class="o">=</span> <span class="p">(</span><span class="o">*</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_gid_raster</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_zero_rate&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">full</span><span class="p">(</span><span class="n">shape</span><span class="p">,</span>
+                                                          <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">,</span>
+                                                          <span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_tau_fut&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">full</span><span class="p">(</span><span class="n">shape</span><span class="p">,</span>
+                                                           <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">,</span>
+                                                           <span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+        <span class="n">shape</span> <span class="o">=</span> <span class="p">(</span><span class="o">*</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_gid_raster</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_time_steps</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_k_factor&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">full</span><span class="p">(</span>
+            <span class="n">shape</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+
+<div class="viewcode-block" id="PresRat.calc_tau_fut">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat.calc_tau_fut">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">calc_tau_fut</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">base_data</span><span class="p">,</span> <span class="n">bias_data</span><span class="p">,</span> <span class="n">bias_fut_data</span><span class="p">,</span>
+                     <span class="n">corrected_fut_data</span><span class="p">,</span> <span class="n">zero_rate_threshold</span><span class="o">=</span><span class="mf">1.157e-7</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate a precipitation threshold (tau) that preserves the</span>
+<span class="sd">        model-predicted changes in fraction of dry days at a single spatial</span>
+<span class="sd">        location.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        base_data : np.ndarray</span>
+<span class="sd">            A 1D array of (usually) daily precipitation observations from a</span>
+<span class="sd">            historical dataset like Daymet</span>
+<span class="sd">        bias_data : np.ndarray</span>
+<span class="sd">            A 1D array of (usually) daily precipitation historical climate</span>
+<span class="sd">            simulation outputs from a GCM dataset from CMIP6</span>
+<span class="sd">        bias_future_data : np.ndarray</span>
+<span class="sd">            A 1D array of (usually) daily precipitation future (e.g., ssp245)</span>
+<span class="sd">            climate simulation outputs from a GCM dataset from CMIP6</span>
+<span class="sd">        corrected_fut_data : np.ndarray</span>
+<span class="sd">            Bias corrected bias_future_data usually with relative QDM</span>
+<span class="sd">        zero_rate_threshold : float, default=1.157e-7</span>
+<span class="sd">            Threshold value used to determine the zero rate in the observed</span>
+<span class="sd">            historical dataset. For instance, 0.01 means that anything less</span>
+<span class="sd">            than that will be considered negligible, hence equal to zero. Dai</span>
+<span class="sd">            2006 defined this as 1mm/day. Pierce 2015 used 0.01mm/day. We</span>
+<span class="sd">            recommend 0.01mm/day (1.157e-7 kg/m2/s).</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tau_fut : float</span>
+<span class="sd">            Precipitation threshold that will preserve the model predicted</span>
+<span class="sd">            changes in fraction of dry days. Precipitation less than this value</span>
+<span class="sd">            in the modeled future data can be set to zero.</span>
+<span class="sd">        obs_zero_rate : float</span>
+<span class="sd">            Rate of dry days in the observed historical data.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="c1"># Step 1: Define zero rate from observations</span>
+        <span class="k">assert</span> <span class="n">base_data</span><span class="o">.</span><span class="n">ndim</span> <span class="o">==</span> <span class="mi">1</span>
+        <span class="n">obs_zero_rate</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">zero_precipitation_rate</span><span class="p">(</span>
+            <span class="n">base_data</span><span class="p">,</span> <span class="n">zero_rate_threshold</span><span class="p">)</span>
+
+        <span class="c1"># Step 2: Find tau for each grid point</span>
+        <span class="c1"># Removed NaN handling, thus reinforce finite-only data.</span>
+        <span class="k">assert</span> <span class="n">np</span><span class="o">.</span><span class="n">isfinite</span><span class="p">(</span><span class="n">bias_data</span><span class="p">)</span><span class="o">.</span><span class="n">all</span><span class="p">(),</span> <span class="s2">&quot;Unexpected invalid values&quot;</span>
+        <span class="k">assert</span> <span class="n">bias_data</span><span class="o">.</span><span class="n">ndim</span> <span class="o">==</span> <span class="mi">1</span><span class="p">,</span> <span class="s2">&quot;Assumed bias_data to be 1D&quot;</span>
+        <span class="n">n_threshold</span> <span class="o">=</span> <span class="nb">round</span><span class="p">(</span><span class="n">obs_zero_rate</span> <span class="o">*</span> <span class="n">bias_data</span><span class="o">.</span><span class="n">size</span><span class="p">)</span>
+        <span class="n">n_threshold</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="n">n_threshold</span><span class="p">,</span> <span class="n">bias_data</span><span class="o">.</span><span class="n">size</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span>
+        <span class="n">tau</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sort</span><span class="p">(</span><span class="n">bias_data</span><span class="p">)[</span><span class="n">n_threshold</span><span class="p">]</span>
+        <span class="c1"># Pierce (2015) imposes 0.01 mm/day</span>
+        <span class="c1"># tau = max(tau, 0.01)</span>
+
+        <span class="c1"># Step 3: Find Z_gf as the zero rate in mf</span>
+        <span class="k">assert</span> <span class="n">np</span><span class="o">.</span><span class="n">isfinite</span><span class="p">(</span><span class="n">bias_fut_data</span><span class="p">)</span><span class="o">.</span><span class="n">all</span><span class="p">(),</span> <span class="s2">&quot;Unexpected invalid values&quot;</span>
+        <span class="n">z_fg</span> <span class="o">=</span> <span class="p">(</span><span class="n">bias_fut_data</span> <span class="o">&lt;</span> <span class="n">tau</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s1">&#39;i&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span> <span class="o">/</span> <span class="n">bias_fut_data</span><span class="o">.</span><span class="n">size</span>
+
+        <span class="c1"># Step 4: Estimate tau_fut with corrected mf</span>
+        <span class="n">tau_fut</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sort</span><span class="p">(</span><span class="n">corrected_fut_data</span><span class="p">)[</span><span class="nb">round</span><span class="p">(</span>
+            <span class="n">z_fg</span> <span class="o">*</span> <span class="n">corrected_fut_data</span><span class="o">.</span><span class="n">size</span><span class="p">)]</span>
+
+        <span class="k">return</span> <span class="n">tau_fut</span><span class="p">,</span> <span class="n">obs_zero_rate</span></div>
+
+
+<div class="viewcode-block" id="PresRat.calc_k_factor">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat.calc_k_factor">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">calc_k_factor</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">base_data</span><span class="p">,</span> <span class="n">bias_data</span><span class="p">,</span> <span class="n">bias_fut_data</span><span class="p">,</span>
+                      <span class="n">corrected_fut_data</span><span class="p">,</span> <span class="n">base_ti</span><span class="p">,</span> <span class="n">bias_ti</span><span class="p">,</span> <span class="n">bias_fut_ti</span><span class="p">,</span>
+                      <span class="n">window_center</span><span class="p">,</span> <span class="n">window_size</span><span class="p">,</span> <span class="n">n_time_steps</span><span class="p">,</span>
+                      <span class="n">zero_rate_threshold</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate the K factor at a single spatial location that will</span>
+<span class="sd">        preserve the original model-predicted mean change in precipitation</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        base_data : np.ndarray</span>
+<span class="sd">            A 1D array of (usually) daily precipitation observations from a</span>
+<span class="sd">            historical dataset like Daymet</span>
+<span class="sd">        bias_data : np.ndarray</span>
+<span class="sd">            A 1D array of (usually) daily precipitation historical climate</span>
+<span class="sd">            simulation outputs from a GCM dataset from CMIP6</span>
+<span class="sd">        bias_future_data : np.ndarray</span>
+<span class="sd">            A 1D array of (usually) daily precipitation future (e.g., ssp245)</span>
+<span class="sd">            climate simulation outputs from a GCM dataset from CMIP6</span>
+<span class="sd">        corrected_fut_data : np.ndarray</span>
+<span class="sd">            Bias corrected bias_future_data usually with relative QDM</span>
+<span class="sd">        base_ti : pd.DatetimeIndex</span>
+<span class="sd">            Datetime index associated with bias_data and of the same length</span>
+<span class="sd">        bias_fut_ti : pd.DatetimeIndex</span>
+<span class="sd">            Datetime index associated with bias_fut_data and of the same length</span>
+<span class="sd">        window_center : np.ndarray</span>
+<span class="sd">            Sequence of days of the year equally spaced and shifted by half</span>
+<span class="sd">            window size, thus `ntimes`=12 results in approximately [15, 45,</span>
+<span class="sd">            ...]. It includes the fraction of a day, thus 15.5 is equivalent</span>
+<span class="sd">            to January 15th, 12:00h. Shape is (N,)</span>
+<span class="sd">        window_size : int</span>
+<span class="sd">            Total time window period in days to be considered for each time QDM</span>
+<span class="sd">            is calculated. For instance, `window_size=30` with</span>
+<span class="sd">            `n_time_steps=12` would result in approximately monthly estimates.</span>
+<span class="sd">        n_time_steps : int</span>
+<span class="sd">            Number of times to calculate QDM parameters equally distributed</span>
+<span class="sd">            along a year. For instance, `n_time_steps=1` results in a single</span>
+<span class="sd">            set of parameters while `n_time_steps=12` is approximately every</span>
+<span class="sd">            month.</span>
+<span class="sd">        zero_rate_threshold : float, default=1.157e-7</span>
+<span class="sd">            Threshold value used to determine the zero rate in the observed</span>
+<span class="sd">            historical dataset. For instance, 0.01 means that anything less</span>
+<span class="sd">            than that will be considered negligible, hence equal to zero. Dai</span>
+<span class="sd">            2006 defined this as 1mm/day. Pierce 2015 used 0.01mm/day. We</span>
+<span class="sd">            recommend 0.01mm/day (1.157e-7 kg/m2/s).</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        k : np.ndarray</span>
+<span class="sd">            K factor from the Pierce 2015 paper with shape (n_time_steps,)</span>
+<span class="sd">            for a single spatial location.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">k</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">full</span><span class="p">(</span><span class="n">n_time_steps</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+        <span class="k">for</span> <span class="n">nt</span><span class="p">,</span> <span class="n">t</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">window_center</span><span class="p">):</span>
+            <span class="n">base_idt</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">window_mask</span><span class="p">(</span><span class="n">base_ti</span><span class="o">.</span><span class="n">day_of_year</span><span class="p">,</span> <span class="n">t</span><span class="p">,</span> <span class="n">window_size</span><span class="p">)</span>
+            <span class="n">bias_idt</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">window_mask</span><span class="p">(</span><span class="n">bias_ti</span><span class="o">.</span><span class="n">day_of_year</span><span class="p">,</span> <span class="n">t</span><span class="p">,</span> <span class="n">window_size</span><span class="p">)</span>
+            <span class="n">bias_fut_idt</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">window_mask</span><span class="p">(</span><span class="n">bias_fut_ti</span><span class="o">.</span><span class="n">day_of_year</span><span class="p">,</span> <span class="n">t</span><span class="p">,</span>
+                                           <span class="n">window_size</span><span class="p">)</span>
+
+            <span class="n">oh</span> <span class="o">=</span> <span class="n">base_data</span><span class="p">[</span><span class="n">base_idt</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
+            <span class="n">mh</span> <span class="o">=</span> <span class="n">bias_data</span><span class="p">[</span><span class="n">bias_idt</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
+            <span class="n">mf</span> <span class="o">=</span> <span class="n">bias_fut_data</span><span class="p">[</span><span class="n">bias_fut_idt</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
+            <span class="n">mf_unbiased</span> <span class="o">=</span> <span class="n">corrected_fut_data</span><span class="p">[</span><span class="n">bias_fut_idt</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
+
+            <span class="n">oh</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">maximum</span><span class="p">(</span><span class="n">oh</span><span class="p">,</span> <span class="n">zero_rate_threshold</span><span class="p">)</span>
+            <span class="n">mh</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">maximum</span><span class="p">(</span><span class="n">mh</span><span class="p">,</span> <span class="n">zero_rate_threshold</span><span class="p">)</span>
+            <span class="n">mf</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">maximum</span><span class="p">(</span><span class="n">mf</span><span class="p">,</span> <span class="n">zero_rate_threshold</span><span class="p">)</span>
+            <span class="n">mf_unbiased</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">maximum</span><span class="p">(</span><span class="n">mf_unbiased</span><span class="p">,</span> <span class="n">zero_rate_threshold</span><span class="p">)</span>
+
+            <span class="n">x</span> <span class="o">=</span> <span class="n">mf</span> <span class="o">/</span> <span class="n">mh</span>
+            <span class="n">x_hat</span> <span class="o">=</span> <span class="n">mf_unbiased</span> <span class="o">/</span> <span class="n">oh</span>
+            <span class="n">k</span><span class="p">[</span><span class="n">nt</span><span class="p">]</span> <span class="o">=</span> <span class="n">x</span> <span class="o">/</span> <span class="n">x_hat</span>
+        <span class="k">return</span> <span class="n">k</span></div>
+
+
+    <span class="c1"># pylint: disable=W0613</span>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">_run_single</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span>
+                    <span class="n">bias_data</span><span class="p">,</span>
+                    <span class="n">bias_fut_data</span><span class="p">,</span>
+                    <span class="n">base_fps</span><span class="p">,</span>
+                    <span class="n">bias_feature</span><span class="p">,</span>
+                    <span class="n">base_dset</span><span class="p">,</span>
+                    <span class="n">base_gid</span><span class="p">,</span>
+                    <span class="n">base_handler</span><span class="p">,</span>
+                    <span class="n">daily_reduction</span><span class="p">,</span>
+                    <span class="o">*</span><span class="p">,</span>
+                    <span class="n">bias_ti</span><span class="p">,</span>
+                    <span class="n">bias_fut_ti</span><span class="p">,</span>
+                    <span class="n">decimals</span><span class="p">,</span>
+                    <span class="n">dist</span><span class="p">,</span>
+                    <span class="n">relative</span><span class="p">,</span>
+                    <span class="n">sampling</span><span class="p">,</span>
+                    <span class="n">n_samples</span><span class="p">,</span>
+                    <span class="n">log_base</span><span class="p">,</span>
+                    <span class="n">n_time_steps</span><span class="p">,</span>
+                    <span class="n">window_size</span><span class="p">,</span>
+                    <span class="n">zero_rate_threshold</span><span class="p">,</span>
+                    <span class="n">base_dh_inst</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+                    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Estimate probability distributions at a single site</span>
+
+<span class="sd">        TODO! This should be refactored. There is too much redundancy in</span>
+<span class="sd">        the code. Let&#39;s make it work first, and optimize later.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">base_data</span><span class="p">,</span> <span class="n">base_ti</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_base_data</span><span class="p">(</span>
+            <span class="n">base_fps</span><span class="p">,</span>
+            <span class="n">base_dset</span><span class="p">,</span>
+            <span class="n">base_gid</span><span class="p">,</span>
+            <span class="n">base_handler</span><span class="p">,</span>
+            <span class="n">daily_reduction</span><span class="o">=</span><span class="n">daily_reduction</span><span class="p">,</span>
+            <span class="n">decimals</span><span class="o">=</span><span class="n">decimals</span><span class="p">,</span>
+            <span class="n">base_dh_inst</span><span class="o">=</span><span class="n">base_dh_inst</span><span class="p">,</span>
+        <span class="p">)</span>
+
+        <span class="n">window_size</span> <span class="o">=</span> <span class="n">window_size</span> <span class="ow">or</span> <span class="mi">365</span> <span class="o">/</span> <span class="n">n_time_steps</span>
+        <span class="n">window_center</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">_window_center</span><span class="p">(</span><span class="n">n_time_steps</span><span class="p">)</span>
+
+        <span class="n">template</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">full</span><span class="p">((</span><span class="n">n_time_steps</span><span class="p">,</span> <span class="n">n_samples</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="n">corrected_fut_data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">full_like</span><span class="p">(</span><span class="n">bias_fut_data</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">)</span>
+        <span class="k">for</span> <span class="n">nt</span><span class="p">,</span> <span class="n">t</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">window_center</span><span class="p">):</span>
+            <span class="c1"># Define indices for which data goes in the current time window</span>
+            <span class="n">base_idx</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">window_mask</span><span class="p">(</span><span class="n">base_ti</span><span class="o">.</span><span class="n">day_of_year</span><span class="p">,</span> <span class="n">t</span><span class="p">,</span> <span class="n">window_size</span><span class="p">)</span>
+            <span class="n">bias_idx</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">window_mask</span><span class="p">(</span><span class="n">bias_ti</span><span class="o">.</span><span class="n">day_of_year</span><span class="p">,</span> <span class="n">t</span><span class="p">,</span> <span class="n">window_size</span><span class="p">)</span>
+            <span class="n">bias_fut_idx</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">window_mask</span><span class="p">(</span><span class="n">bias_fut_ti</span><span class="o">.</span><span class="n">day_of_year</span><span class="p">,</span>
+                                           <span class="n">t</span><span class="p">,</span>
+                                           <span class="n">window_size</span><span class="p">)</span>
+
+            <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">base_idx</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">any</span><span class="p">(</span><span class="n">bias_idx</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">any</span><span class="p">(</span><span class="n">bias_fut_idx</span><span class="p">):</span>
+                <span class="n">tmp</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_qdm_params</span><span class="p">(</span><span class="n">bias_data</span><span class="p">[</span><span class="n">bias_idx</span><span class="p">],</span>
+                                         <span class="n">bias_fut_data</span><span class="p">[</span><span class="n">bias_fut_idx</span><span class="p">],</span>
+                                         <span class="n">base_data</span><span class="p">[</span><span class="n">base_idx</span><span class="p">],</span>
+                                         <span class="n">bias_feature</span><span class="p">,</span>
+                                         <span class="n">base_dset</span><span class="p">,</span>
+                                         <span class="n">sampling</span><span class="p">,</span>
+                                         <span class="n">n_samples</span><span class="p">,</span>
+                                         <span class="n">log_base</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">tmp</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                    <span class="k">if</span> <span class="n">k</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">out</span><span class="p">:</span>
+                        <span class="n">out</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="n">template</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+                    <span class="n">out</span><span class="p">[</span><span class="n">k</span><span class="p">][(</span><span class="n">nt</span><span class="p">),</span> <span class="p">:]</span> <span class="o">=</span> <span class="n">v</span>
+
+            <span class="n">QDM</span> <span class="o">=</span> <span class="n">QuantileDeltaMapping</span><span class="p">(</span>
+                <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">out</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_params&#39;</span><span class="p">][</span><span class="n">nt</span><span class="p">]),</span>
+                <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">out</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_params&#39;</span><span class="p">][</span><span class="n">nt</span><span class="p">]),</span>
+                <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">out</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;bias_fut_</span><span class="si">{</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_params&#39;</span><span class="p">][</span><span class="n">nt</span><span class="p">]),</span>
+                <span class="n">dist</span><span class="o">=</span><span class="n">dist</span><span class="p">,</span>
+                <span class="n">relative</span><span class="o">=</span><span class="n">relative</span><span class="p">,</span>
+                <span class="n">sampling</span><span class="o">=</span><span class="n">sampling</span><span class="p">,</span>
+                <span class="n">log_base</span><span class="o">=</span><span class="n">log_base</span><span class="p">,</span>
+                <span class="n">delta_denom_min</span><span class="o">=</span><span class="n">zero_rate_threshold</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="n">subset</span> <span class="o">=</span> <span class="n">bias_fut_data</span><span class="p">[</span><span class="n">bias_fut_idx</span><span class="p">]</span>
+            <span class="n">corrected_fut_data</span><span class="p">[</span><span class="n">bias_fut_idx</span><span class="p">]</span> <span class="o">=</span> <span class="n">QDM</span><span class="p">(</span><span class="n">subset</span><span class="p">)</span><span class="o">.</span><span class="n">squeeze</span><span class="p">()</span>
+
+        <span class="n">tau_fut</span><span class="p">,</span> <span class="n">obs_zero_rate</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">calc_tau_fut</span><span class="p">(</span><span class="n">base_data</span><span class="p">,</span> <span class="n">bias_data</span><span class="p">,</span>
+                                                  <span class="n">bias_fut_data</span><span class="p">,</span>
+                                                  <span class="n">corrected_fut_data</span><span class="p">,</span>
+                                                  <span class="n">zero_rate_threshold</span><span class="p">)</span>
+        <span class="n">k</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">calc_k_factor</span><span class="p">(</span><span class="n">base_data</span><span class="p">,</span> <span class="n">bias_data</span><span class="p">,</span> <span class="n">bias_fut_data</span><span class="p">,</span>
+                              <span class="n">corrected_fut_data</span><span class="p">,</span> <span class="n">base_ti</span><span class="p">,</span> <span class="n">bias_ti</span><span class="p">,</span>
+                              <span class="n">bias_fut_ti</span><span class="p">,</span> <span class="n">window_center</span><span class="p">,</span> <span class="n">window_size</span><span class="p">,</span>
+                              <span class="n">n_time_steps</span><span class="p">,</span> <span class="n">zero_rate_threshold</span><span class="p">)</span>
+
+        <span class="n">out</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_k_factor&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">k</span>
+        <span class="n">out</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_zero_rate&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">obs_zero_rate</span>
+        <span class="n">out</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_tau_fut&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">tau_fut</span>
+
+        <span class="k">return</span> <span class="n">out</span>
+
+<div class="viewcode-block" id="PresRat.run">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat.run">[docs]</a>
+    <span class="k">def</span> <span class="nf">run</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">fp_out</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">max_workers</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">daily_reduction</span><span class="o">=</span><span class="s1">&#39;avg&#39;</span><span class="p">,</span>
+        <span class="n">fill_extend</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+        <span class="n">smooth_extend</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
+        <span class="n">smooth_interior</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
+        <span class="n">zero_rate_threshold</span><span class="o">=</span><span class="mf">1.157e-7</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Estimate the required information for PresRat correction</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        fp_out : str | None</span>
+<span class="sd">            Optional .h5 output file to write scalar and adder arrays.</span>
+<span class="sd">        max_workers : int, optional</span>
+<span class="sd">            Number of workers to run in parallel. 1 is serial and None is all</span>
+<span class="sd">            available.</span>
+<span class="sd">        daily_reduction : None | str</span>
+<span class="sd">            Option to do a reduction of the hourly+ source base data to daily</span>
+<span class="sd">            data. Can be None (no reduction, keep source time frequency), &quot;avg&quot;</span>
+<span class="sd">            (daily average), &quot;max&quot; (daily max), &quot;min&quot; (daily min),</span>
+<span class="sd">            &quot;sum&quot; (daily sum/total)</span>
+<span class="sd">        fill_extend : bool</span>
+<span class="sd">            Whether to fill data extending beyond the base meta data with</span>
+<span class="sd">            nearest neighbor values.</span>
+<span class="sd">        smooth_extend : float</span>
+<span class="sd">            Option to smooth the scalar/adder data outside of the spatial</span>
+<span class="sd">            domain set by the threshold input. This alleviates the weird seams</span>
+<span class="sd">            far from the domain of interest. This value is the standard</span>
+<span class="sd">            deviation for the gaussian_filter kernel</span>
+<span class="sd">        smooth_interior : float</span>
+<span class="sd">            Value to use to smooth the scalar/adder data inside of the spatial</span>
+<span class="sd">            domain set by the threshold input. This can reduce the effect of</span>
+<span class="sd">            extreme values within aggregations over large number of pixels.</span>
+<span class="sd">            This value is the standard deviation for the gaussian_filter</span>
+<span class="sd">            kernel.</span>
+<span class="sd">        zero_rate_threshold : float, default=1.157e-7</span>
+<span class="sd">            Threshold value used to determine the zero rate in the observed</span>
+<span class="sd">            historical dataset. For instance, 0.01 means that anything less</span>
+<span class="sd">            than that will be considered negligible, hence equal to zero. Dai</span>
+<span class="sd">            2006 defined this as 1mm/day. Pierce 2015 used 0.01mm/day. We</span>
+<span class="sd">            recommend 0.01mm/day (1.157e-7 kg/m2/s).</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out : dict</span>
+<span class="sd">            Dictionary with parameters defining the statistical distributions</span>
+<span class="sd">            for each of the three given datasets. Each value has dimensions</span>
+<span class="sd">            (lat, lon, n-parameters).</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Calculating CDF parameters for QDM&#39;</span><span class="p">)</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;Initialized params with shape: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">bias_gid_raster</span><span class="o">.</span><span class="n">shape</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">bad_bias_gids</span> <span class="o">=</span> <span class="p">[]</span>
+
+        <span class="c1"># sup3r DataHandler opening base files will load all data in parallel</span>
+        <span class="c1"># during the init and should not be passed in parallel to workers</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">base_dh</span><span class="p">,</span> <span class="n">DataHandler</span><span class="p">):</span>
+            <span class="n">max_workers</span> <span class="o">=</span> <span class="mi">1</span>
+
+        <span class="k">if</span> <span class="n">max_workers</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Running serial calculation.&#39;</span><span class="p">)</span>
+            <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">bias_gid</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_meta</span><span class="o">.</span><span class="n">index</span><span class="p">):</span>
+                <span class="n">raster_loc</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_gid_raster</span> <span class="o">==</span> <span class="n">bias_gid</span><span class="p">)</span>
+                <span class="n">_</span><span class="p">,</span> <span class="n">base_gid</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_base_gid</span><span class="p">(</span><span class="n">bias_gid</span><span class="p">)</span>
+
+                <span class="k">if</span> <span class="ow">not</span> <span class="n">base_gid</span><span class="o">.</span><span class="n">any</span><span class="p">():</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">bad_bias_gids</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">bias_gid</span><span class="p">)</span>
+                    <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                        <span class="sa">f</span><span class="s1">&#39;No base data for bias_gid: </span><span class="si">{</span><span class="n">bias_gid</span><span class="si">}</span><span class="s1">. &#39;</span>
+                        <span class="s1">&#39;Adding it to bad_bias_gids&#39;</span>
+                    <span class="p">)</span>
+                <span class="k">else</span><span class="p">:</span>
+                    <span class="n">bias_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_bias_data</span><span class="p">(</span><span class="n">bias_gid</span><span class="p">)</span>
+                    <span class="n">bias_fut_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_bias_data</span><span class="p">(</span>
+                        <span class="n">bias_gid</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_fut_dh</span>
+                    <span class="p">)</span>
+                    <span class="n">single_out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_run_single</span><span class="p">(</span>
+                        <span class="n">bias_data</span><span class="p">,</span>
+                        <span class="n">bias_fut_data</span><span class="p">,</span>
+                        <span class="bp">self</span><span class="o">.</span><span class="n">base_fps</span><span class="p">,</span>
+                        <span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="p">,</span>
+                        <span class="bp">self</span><span class="o">.</span><span class="n">base_dset</span><span class="p">,</span>
+                        <span class="n">base_gid</span><span class="p">,</span>
+                        <span class="bp">self</span><span class="o">.</span><span class="n">base_handler</span><span class="p">,</span>
+                        <span class="n">daily_reduction</span><span class="p">,</span>
+                        <span class="n">bias_ti</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_dh</span><span class="o">.</span><span class="n">time_index</span><span class="p">,</span>
+                        <span class="n">bias_fut_ti</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_fut_dh</span><span class="o">.</span><span class="n">time_index</span><span class="p">,</span>
+                        <span class="n">decimals</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">decimals</span><span class="p">,</span>
+                        <span class="n">dist</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">dist</span><span class="p">,</span>
+                        <span class="n">relative</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">relative</span><span class="p">,</span>
+                        <span class="n">sampling</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">sampling</span><span class="p">,</span>
+                        <span class="n">n_samples</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">n_quantiles</span><span class="p">,</span>
+                        <span class="n">log_base</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">log_base</span><span class="p">,</span>
+                        <span class="n">n_time_steps</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">n_time_steps</span><span class="p">,</span>
+                        <span class="n">window_size</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">window_size</span><span class="p">,</span>
+                        <span class="n">base_dh_inst</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">base_dh</span><span class="p">,</span>
+                        <span class="n">zero_rate_threshold</span><span class="o">=</span><span class="n">zero_rate_threshold</span><span class="p">,</span>
+                    <span class="p">)</span>
+                    <span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">arr</span> <span class="ow">in</span> <span class="n">single_out</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                        <span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">[</span><span class="n">key</span><span class="p">][</span><span class="n">raster_loc</span><span class="p">]</span> <span class="o">=</span> <span class="n">arr</span>
+
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="s1">&#39;Completed bias calculations for </span><span class="si">{}</span><span class="s1"> out of </span><span class="si">{}</span><span class="s1"> &#39;</span>
+                    <span class="s1">&#39;sites&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">i</span> <span class="o">+</span> <span class="mi">1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_meta</span><span class="p">))</span>
+                <span class="p">)</span>
+
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                <span class="s1">&#39;Running parallel calculation with </span><span class="si">{}</span><span class="s1"> workers.&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="n">max_workers</span>
+                <span class="p">)</span>
+            <span class="p">)</span>
+            <span class="k">with</span> <span class="n">ProcessPoolExecutor</span><span class="p">(</span><span class="n">max_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">)</span> <span class="k">as</span> <span class="n">exe</span><span class="p">:</span>
+                <span class="n">futures</span> <span class="o">=</span> <span class="p">{}</span>
+                <span class="k">for</span> <span class="n">bias_gid</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_meta</span><span class="o">.</span><span class="n">index</span><span class="p">:</span>
+                    <span class="n">raster_loc</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_gid_raster</span> <span class="o">==</span> <span class="n">bias_gid</span><span class="p">)</span>
+                    <span class="n">_</span><span class="p">,</span> <span class="n">base_gid</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_base_gid</span><span class="p">(</span><span class="n">bias_gid</span><span class="p">)</span>
+
+                    <span class="k">if</span> <span class="ow">not</span> <span class="n">base_gid</span><span class="o">.</span><span class="n">any</span><span class="p">():</span>
+                        <span class="bp">self</span><span class="o">.</span><span class="n">bad_bias_gids</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">bias_gid</span><span class="p">)</span>
+                    <span class="k">else</span><span class="p">:</span>
+                        <span class="n">bias_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_bias_data</span><span class="p">(</span><span class="n">bias_gid</span><span class="p">)</span>
+                        <span class="n">bias_fut_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_bias_data</span><span class="p">(</span>
+                            <span class="n">bias_gid</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_fut_dh</span>
+                        <span class="p">)</span>
+                        <span class="n">future</span> <span class="o">=</span> <span class="n">exe</span><span class="o">.</span><span class="n">submit</span><span class="p">(</span>
+                            <span class="bp">self</span><span class="o">.</span><span class="n">_run_single</span><span class="p">,</span>
+                            <span class="n">bias_data</span><span class="p">,</span>
+                            <span class="n">bias_fut_data</span><span class="p">,</span>
+                            <span class="bp">self</span><span class="o">.</span><span class="n">base_fps</span><span class="p">,</span>
+                            <span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="p">,</span>
+                            <span class="bp">self</span><span class="o">.</span><span class="n">base_dset</span><span class="p">,</span>
+                            <span class="n">base_gid</span><span class="p">,</span>
+                            <span class="bp">self</span><span class="o">.</span><span class="n">base_handler</span><span class="p">,</span>
+                            <span class="n">daily_reduction</span><span class="p">,</span>
+                            <span class="n">bias_ti</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_dh</span><span class="o">.</span><span class="n">time_index</span><span class="p">,</span>
+                            <span class="n">bias_fut_ti</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_fut_dh</span><span class="o">.</span><span class="n">time_index</span><span class="p">,</span>
+                            <span class="n">decimals</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">decimals</span><span class="p">,</span>
+                            <span class="n">dist</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">dist</span><span class="p">,</span>
+                            <span class="n">relative</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">relative</span><span class="p">,</span>
+                            <span class="n">sampling</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">sampling</span><span class="p">,</span>
+                            <span class="n">n_samples</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">n_quantiles</span><span class="p">,</span>
+                            <span class="n">log_base</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">log_base</span><span class="p">,</span>
+                            <span class="n">n_time_steps</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">n_time_steps</span><span class="p">,</span>
+                            <span class="n">window_size</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">window_size</span><span class="p">,</span>
+                            <span class="n">zero_rate_threshold</span><span class="o">=</span><span class="n">zero_rate_threshold</span><span class="p">,</span>
+                        <span class="p">)</span>
+                        <span class="n">futures</span><span class="p">[</span><span class="n">future</span><span class="p">]</span> <span class="o">=</span> <span class="n">raster_loc</span>
+
+                <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Finished launching futures.&#39;</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">future</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">as_completed</span><span class="p">(</span><span class="n">futures</span><span class="p">)):</span>
+                    <span class="n">raster_loc</span> <span class="o">=</span> <span class="n">futures</span><span class="p">[</span><span class="n">future</span><span class="p">]</span>
+                    <span class="n">single_out</span> <span class="o">=</span> <span class="n">future</span><span class="o">.</span><span class="n">result</span><span class="p">()</span>
+                    <span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">arr</span> <span class="ow">in</span> <span class="n">single_out</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                        <span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">[</span><span class="n">key</span><span class="p">][</span><span class="n">raster_loc</span><span class="p">]</span> <span class="o">=</span> <span class="n">arr</span>
+
+                    <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                        <span class="s1">&#39;Completed bias calculations for </span><span class="si">{}</span><span class="s1"> out of </span><span class="si">{}</span><span class="s1"> &#39;</span>
+                        <span class="s1">&#39;sites&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">i</span> <span class="o">+</span> <span class="mi">1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">futures</span><span class="p">))</span>
+                    <span class="p">)</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Finished calculating bias correction factors.&#39;</span><span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">fill_and_smooth</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">,</span> <span class="n">fill_extend</span><span class="p">,</span> <span class="n">smooth_extend</span><span class="p">,</span> <span class="n">smooth_interior</span>
+        <span class="p">)</span>
+
+        <span class="n">extra_attrs</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="s1">&#39;zero_rate_threshold&#39;</span><span class="p">:</span> <span class="n">zero_rate_threshold</span><span class="p">,</span>
+            <span class="s1">&#39;time_window_center&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">time_window_center</span><span class="p">,</span>
+        <span class="p">}</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">write_outputs</span><span class="p">(</span><span class="n">fp_out</span><span class="p">,</span>
+                           <span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">,</span>
+                           <span class="n">extra_attrs</span><span class="o">=</span><span class="n">extra_attrs</span><span class="p">,</span>
+                           <span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="PresRat.write_outputs">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat.write_outputs">[docs]</a>
+    <span class="k">def</span> <span class="nf">write_outputs</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">fp_out</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+                      <span class="n">out</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+                      <span class="n">extra_attrs</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Write outputs to an .h5 file.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        fp_out : str | None</span>
+<span class="sd">            An HDF5 filename to write the estimated statistical distributions.</span>
+<span class="sd">        out : dict, optional</span>
+<span class="sd">            A dictionary with the three statistical distribution parameters.</span>
+<span class="sd">            If not given, it uses :attr:`.out`.</span>
+<span class="sd">        extra_attrs: dict, optional</span>
+<span class="sd">            Extra attributes to be exported together with the dataset.</span>
+
+<span class="sd">        Examples</span>
+<span class="sd">        --------</span>
+<span class="sd">        &gt;&gt;&gt; mycalc = PresRat(...)</span>
+<span class="sd">        &gt;&gt;&gt; mycalc.write_outputs(fp_out=&quot;myfile.h5&quot;, out=mydictdataset,</span>
+<span class="sd">        ...   extra_attrs={&#39;zero_rate_threshold&#39;: 0.01})</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">out</span> <span class="o">=</span> <span class="n">out</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">out</span>
+
+        <span class="k">if</span> <span class="n">fp_out</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">fp_out</span><span class="p">)):</span>
+                <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">fp_out</span><span class="p">),</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+            <span class="k">with</span> <span class="n">h5py</span><span class="o">.</span><span class="n">File</span><span class="p">(</span><span class="n">fp_out</span><span class="p">,</span> <span class="s1">&#39;w&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+                <span class="c1"># pylint: disable=E1136</span>
+                <span class="n">lat</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_dh</span><span class="o">.</span><span class="n">lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span>
+                <span class="n">lon</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_dh</span><span class="o">.</span><span class="n">lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">create_dataset</span><span class="p">(</span><span class="s1">&#39;latitude&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">lat</span><span class="p">)</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">create_dataset</span><span class="p">(</span><span class="s1">&#39;longitude&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">lon</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">dset</span><span class="p">,</span> <span class="n">data</span> <span class="ow">in</span> <span class="n">out</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                    <span class="n">f</span><span class="o">.</span><span class="n">create_dataset</span><span class="p">(</span><span class="n">dset</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">)</span>
+
+                <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                    <span class="n">f</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">v</span><span class="p">)</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;dist&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dist</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;sampling&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sampling</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;log_base&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">log_base</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;base_fps&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">base_fps</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;bias_fps&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_fps</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;bias_fut_fps&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_fut_fps</span>
+                <span class="k">if</span> <span class="n">extra_attrs</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+                    <span class="k">for</span> <span class="n">a</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">extra_attrs</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                        <span class="n">f</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="n">a</span><span class="p">]</span> <span class="o">=</span> <span class="n">v</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Wrote quantiles to file: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">fp_out</span><span class="p">))</span></div>
+</div>
+
+</pre></div>
+
+                </article>
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+<li class="toctree-l4"><a class="reference internal" href="../../../_autosummary/sup3r.bias.bias_transforms.local_presrat_bc.html">sup3r.bias.bias_transforms.local_presrat_bc</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="../../../_autosummary/sup3r.bias.mixins.ZeroRateMixin.html">sup3r.bias.mixins.ZeroRateMixin</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../../../_autosummary/sup3r.bias.presrat.html">sup3r.bias.presrat</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../../../_autosummary/sup3r.bias.presrat.PresRat.html">sup3r.bias.presrat.PresRat</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../../../_autosummary/sup3r.bias.qdm.html">sup3r.bias.qdm</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="../../../_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.html">sup3r.bias.qdm.QuantileDeltaMappingCorrection</a></li>
+</ul>
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+  <h1>Source code for sup3r.bias.qdm</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;QDM related methods to correct and bias and trend</span>
+
+<span class="sd">Procedures to apply Quantile Delta Method correction and derived methods such</span>
+<span class="sd">as PresRat.</span>
+<span class="sd">&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">copy</span>
+<span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">from</span> <span class="nn">concurrent.futures</span> <span class="kn">import</span> <span class="n">ProcessPoolExecutor</span><span class="p">,</span> <span class="n">as_completed</span>
+
+<span class="kn">import</span> <span class="nn">h5py</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">from</span> <span class="nn">rex.utilities.bc_utils</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">sample_q_invlog</span><span class="p">,</span>
+    <span class="n">sample_q_linear</span><span class="p">,</span>
+    <span class="n">sample_q_log</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing</span> <span class="kn">import</span> <span class="n">DataHandler</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="n">expand_paths</span>
+
+<span class="kn">from</span> <span class="nn">.base</span> <span class="kn">import</span> <span class="n">DataRetrievalBase</span>
+<span class="kn">from</span> <span class="nn">.mixins</span> <span class="kn">import</span> <span class="n">FillAndSmoothMixin</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="QuantileDeltaMappingCorrection">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.html#sup3r.bias.qdm.QuantileDeltaMappingCorrection">[docs]</a>
+<span class="k">class</span> <span class="nc">QuantileDeltaMappingCorrection</span><span class="p">(</span><span class="n">FillAndSmoothMixin</span><span class="p">,</span> <span class="n">DataRetrievalBase</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Estimate probability distributions required by Quantile Delta Mapping</span>
+
+<span class="sd">    The main purpose of this class is to estimate the probability</span>
+<span class="sd">    distributions required by Quantile Delta Mapping (QDM) ([Cannon2015]_)</span>
+<span class="sd">    technique. Therefore, the name &#39;Correction&#39; can be misleading since it is</span>
+<span class="sd">    not the correction *per se*, but that was used to keep consistency within</span>
+<span class="sd">    this module.</span>
+
+<span class="sd">    The QDM technique corrects bias and trend by comparing the data</span>
+<span class="sd">    distributions of three datasets: a historical reference, a biased</span>
+<span class="sd">    reference, and a biased target to correct (in Cannon et. al. (2015)</span>
+<span class="sd">    called: historical observed, historical modeled, and future modeled</span>
+<span class="sd">    respectively). Those three probability distributions provided here</span>
+<span class="sd">    can be, for instance, used by</span>
+<span class="sd">    :func:`~sup3r.bias.bias_transforms.local_qdm_bc` to actually correct</span>
+<span class="sd">    a dataset.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span>
+                 <span class="n">base_fps</span><span class="p">,</span>
+                 <span class="n">bias_fps</span><span class="p">,</span>
+                 <span class="n">bias_fut_fps</span><span class="p">,</span>
+                 <span class="n">base_dset</span><span class="p">,</span>
+                 <span class="n">bias_feature</span><span class="p">,</span>
+                 <span class="n">distance_upper_bound</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+                 <span class="n">target</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+                 <span class="n">shape</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+                 <span class="n">base_handler</span><span class="o">=</span><span class="s1">&#39;Resource&#39;</span><span class="p">,</span>
+                 <span class="n">bias_handler</span><span class="o">=</span><span class="s1">&#39;DataHandlerNCforCC&#39;</span><span class="p">,</span>
+                 <span class="n">base_handler_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+                 <span class="n">bias_handler_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+                 <span class="n">bias_fut_handler_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+                 <span class="n">decimals</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+                 <span class="n">match_zero_rate</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+                 <span class="n">n_quantiles</span><span class="o">=</span><span class="mi">101</span><span class="p">,</span>
+                 <span class="n">dist</span><span class="o">=</span><span class="s1">&#39;empirical&#39;</span><span class="p">,</span>
+                 <span class="n">relative</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                 <span class="n">sampling</span><span class="o">=</span><span class="s1">&#39;linear&#39;</span><span class="p">,</span>
+                 <span class="n">log_base</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span>
+                 <span class="n">n_time_steps</span><span class="o">=</span><span class="mi">24</span><span class="p">,</span>
+                 <span class="n">window_size</span><span class="o">=</span><span class="mi">120</span><span class="p">,</span>
+                 <span class="n">pre_load</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                 <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        base_fps : list | str</span>
+<span class="sd">            One or more baseline .h5 filepaths representing non-biased data to</span>
+<span class="sd">            use</span>
+<span class="sd">            to correct the biased dataset (observed historical in Cannon et.</span>
+<span class="sd">            al. (2015)). This is typically several years of WTK or NSRDB files.</span>
+<span class="sd">        bias_fps : list | str</span>
+<span class="sd">            One or more biased .nc or .h5 filepaths representing the biased</span>
+<span class="sd">            data</span>
+<span class="sd">            to be compared with the baseline data (modeled historical in Cannon</span>
+<span class="sd">            et. al. (2015)). This is typically several years of GCM .nc files.</span>
+<span class="sd">        bias_fut_fps : list | str</span>
+<span class="sd">            Consistent data to `bias_fps` but for a different time period</span>
+<span class="sd">            (modeled</span>
+<span class="sd">            future in Cannon et. al. (2015)). This is the dataset that would be</span>
+<span class="sd">            corrected, while `bias_fsp` is used to provide a transformation map</span>
+<span class="sd">            with the baseline data.</span>
+<span class="sd">        base_dset : str</span>
+<span class="sd">            A single dataset from the base_fps to retrieve. In the case of wind</span>
+<span class="sd">            components, this can be U_100m or V_100m which will retrieve</span>
+<span class="sd">            windspeed and winddirection and derive the U/V component.</span>
+<span class="sd">        bias_feature : str</span>
+<span class="sd">            This is the biased feature from bias_fps to retrieve. This should</span>
+<span class="sd">            be a single feature name corresponding to base_dset</span>
+<span class="sd">        distance_upper_bound : float</span>
+<span class="sd">            Upper bound on the nearest neighbor distance in decimal degrees.</span>
+<span class="sd">            This should be the approximate resolution of the low-resolution</span>
+<span class="sd">            bias data. None (default) will calculate this based on the median</span>
+<span class="sd">            distance between points in bias_fps</span>
+<span class="sd">        target : tuple</span>
+<span class="sd">            (lat, lon) lower left corner of raster to retrieve from bias_fps.</span>
+<span class="sd">            If None then the lower left corner of the full domain will be used.</span>
+<span class="sd">        shape : tuple</span>
+<span class="sd">            (rows, cols) grid size to retrieve from bias_fps. If None then the</span>
+<span class="sd">            full domain shape will be used.</span>
+<span class="sd">        base_handler : str</span>
+<span class="sd">            Name of rex resource handler or sup3r.preprocessing.data_handlers</span>
+<span class="sd">            class to be retrieved from the rex/sup3r library. If a</span>
+<span class="sd">            sup3r.preprocessing.data_handlers class is used, all data will be</span>
+<span class="sd">            loaded in this class&#39; initialization and the subsequent bias</span>
+<span class="sd">            calculation will be done in serial</span>
+<span class="sd">        bias_handler : str</span>
+<span class="sd">            Name of the bias data handler class to be retrieved from the</span>
+<span class="sd">            sup3r.preprocessing.data_handlers library.</span>
+<span class="sd">        base_handler_kwargs : dict | None</span>
+<span class="sd">            Optional kwargs to send to the initialization of the base_handler</span>
+<span class="sd">            class</span>
+<span class="sd">        bias_handler_kwargs : dict | None</span>
+<span class="sd">            Optional kwargs to send to the initialization of the bias_handler</span>
+<span class="sd">            class with the bias_fps</span>
+<span class="sd">        bias_fut_handler_kwargs : dict | None</span>
+<span class="sd">            Optional kwargs to send to the initialization of the</span>
+<span class="sd">            bias_handler class with the bias_fut_fps</span>
+<span class="sd">        decimals : int | None</span>
+<span class="sd">            Option to round bias and base data to this number of</span>
+<span class="sd">            decimals, this gets passed to np.around(). If decimals</span>
+<span class="sd">            is negative, it specifies the number of positions to</span>
+<span class="sd">            the left of the decimal point.</span>
+<span class="sd">        match_zero_rate : bool</span>
+<span class="sd">            Option to fix the frequency of zero values in the biased data. The</span>
+<span class="sd">            lowest percentile of values in the biased data will be set to zero</span>
+<span class="sd">            to match the percentile of zeros in the base data. If</span>
+<span class="sd">            SkillAssessment is being run and this is True, the distributions</span>
+<span class="sd">            will not be mean-centered. This helps resolve the issue where</span>
+<span class="sd">            global climate models produce too many days with small</span>
+<span class="sd">            precipitation totals e.g., the &quot;drizzle problem&quot; [Polade2014]_.</span>
+<span class="sd">        dist : str, default=&quot;empirical&quot;,</span>
+<span class="sd">            Define the type of distribution, which can be &quot;empirical&quot; or any</span>
+<span class="sd">            parametric distribution defined in &quot;scipy&quot;.</span>
+<span class="sd">        n_quantiles : int, default=101</span>
+<span class="sd">            Defines the number of quantiles (between 0 and 1) for an empirical</span>
+<span class="sd">            distribution.</span>
+<span class="sd">        sampling : str, default=&quot;linear&quot;,</span>
+<span class="sd">            Defines how the quantiles are sampled. For instance, &#39;linear&#39; will</span>
+<span class="sd">            result in a linearly spaced quantiles. Other options are: &#39;log&#39;</span>
+<span class="sd">            and &#39;invlog&#39;.</span>
+<span class="sd">        log_base : int or float, default=10</span>
+<span class="sd">            Log base value if sampling is &quot;log&quot; or &quot;invlog&quot;.</span>
+<span class="sd">        n_time_steps : int</span>
+<span class="sd">            Number of times to calculate QDM parameters equally distributed</span>
+<span class="sd">            along a year. For instance, `n_time_steps=1` results in a single</span>
+<span class="sd">            set of parameters while `n_time_steps=12` is approximately every</span>
+<span class="sd">            month.</span>
+<span class="sd">        window_size : int</span>
+<span class="sd">            Total time window period in days to be considered for each time QDM</span>
+<span class="sd">            is calculated. For instance, `window_size=30` with</span>
+<span class="sd">            `n_time_steps=12` would result in approximately monthly estimates.</span>
+<span class="sd">        pre_load : bool</span>
+<span class="sd">            Flag to preload all data needed for bias correction. This is</span>
+<span class="sd">            currently recommended to improve performance with the new sup3r</span>
+<span class="sd">            data handler access patterns</span>
+
+<span class="sd">        See Also</span>
+<span class="sd">        --------</span>
+<span class="sd">        sup3r.bias.bias_transforms.local_qdm_bc :</span>
+<span class="sd">            Bias correction using QDM.</span>
+<span class="sd">        sup3r.preprocessing.data_handlers.DataHandler :</span>
+<span class="sd">            Bias correction using QDM directly from a derived handler.</span>
+<span class="sd">        rex.utilities.bc_utils.QuantileDeltaMapping</span>
+<span class="sd">            Quantile Delta Mapping method and support functions. Since</span>
+<span class="sd">            :mod:`rex.utilities.bc_utils` is used here, the arguments</span>
+<span class="sd">            ``dist``, ``n_quantiles``, ``sampling``, and ``log_base``</span>
+<span class="sd">            must be consitent with that package/module.</span>
+
+<span class="sd">        Notes</span>
+<span class="sd">        -----</span>
+<span class="sd">        One way of using this class is by saving the distributions definitions</span>
+<span class="sd">        obtained here with the method :meth:`.write_outputs` and then use that</span>
+<span class="sd">        file with :func:`~sup3r.bias.bias_transforms.local_qdm_bc` or through</span>
+<span class="sd">        a derived :class:`~sup3r.preprocessing.data_handlers.DataHandler`.</span>
+<span class="sd">        **ATTENTION**, be careful handling that file of parameters. There is</span>
+<span class="sd">        no checking process and one could missuse the correction estimated for</span>
+<span class="sd">        the wrong dataset.</span>
+
+<span class="sd">        References</span>
+<span class="sd">        ----------</span>
+<span class="sd">        .. [Cannon2015] Cannon, A. J., Sobie, S. R., &amp; Murdock, T. Q. (2015).</span>
+<span class="sd">           Bias correction of GCM precipitation by quantile mapping: how well</span>
+<span class="sd">           do methods preserve changes in quantiles and extremes?. Journal of</span>
+<span class="sd">           Climate, 28(17), 6938-6959.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">n_quantiles</span> <span class="o">=</span> <span class="n">n_quantiles</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">dist</span> <span class="o">=</span> <span class="n">dist</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">relative</span> <span class="o">=</span> <span class="n">relative</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">sampling</span> <span class="o">=</span> <span class="n">sampling</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">log_base</span> <span class="o">=</span> <span class="n">log_base</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">n_time_steps</span> <span class="o">=</span> <span class="n">n_time_steps</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">window_size</span> <span class="o">=</span> <span class="n">window_size</span>
+
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">base_fps</span><span class="o">=</span><span class="n">base_fps</span><span class="p">,</span>
+                         <span class="n">bias_fps</span><span class="o">=</span><span class="n">bias_fps</span><span class="p">,</span>
+                         <span class="n">base_dset</span><span class="o">=</span><span class="n">base_dset</span><span class="p">,</span>
+                         <span class="n">bias_feature</span><span class="o">=</span><span class="n">bias_feature</span><span class="p">,</span>
+                         <span class="n">distance_upper_bound</span><span class="o">=</span><span class="n">distance_upper_bound</span><span class="p">,</span>
+                         <span class="n">target</span><span class="o">=</span><span class="n">target</span><span class="p">,</span>
+                         <span class="n">shape</span><span class="o">=</span><span class="n">shape</span><span class="p">,</span>
+                         <span class="n">base_handler</span><span class="o">=</span><span class="n">base_handler</span><span class="p">,</span>
+                         <span class="n">bias_handler</span><span class="o">=</span><span class="n">bias_handler</span><span class="p">,</span>
+                         <span class="n">base_handler_kwargs</span><span class="o">=</span><span class="n">base_handler_kwargs</span><span class="p">,</span>
+                         <span class="n">bias_handler_kwargs</span><span class="o">=</span><span class="n">bias_handler_kwargs</span><span class="p">,</span>
+                         <span class="n">decimals</span><span class="o">=</span><span class="n">decimals</span><span class="p">,</span>
+                         <span class="n">match_zero_rate</span><span class="o">=</span><span class="n">match_zero_rate</span><span class="p">,</span>
+                         <span class="n">pre_load</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+                         <span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">bias_fut_fps</span> <span class="o">=</span> <span class="n">bias_fut_fps</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">bias_fut_fps</span> <span class="o">=</span> <span class="n">expand_paths</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_fut_fps</span><span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">bias_fut_handler_kwargs</span> <span class="o">=</span> <span class="n">bias_fut_handler_kwargs</span> <span class="ow">or</span> <span class="p">{}</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">bias_fut_dh</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_handler</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_fut_fps</span><span class="p">,</span>
+                                             <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="p">],</span>
+                                             <span class="n">target</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">target</span><span class="p">,</span>
+                                             <span class="n">shape</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span>
+                                             <span class="o">**</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_fut_handler_kwargs</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">pre_load</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">pre_load</span><span class="p">()</span>
+
+<div class="viewcode-block" id="QuantileDeltaMappingCorrection.pre_load">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.html#sup3r.bias.qdm.QuantileDeltaMappingCorrection.pre_load">[docs]</a>
+    <span class="k">def</span> <span class="nf">pre_load</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Preload all data needed for bias correction. This is currently</span>
+<span class="sd">        recommended to improve performance with the new sup3r data handler</span>
+<span class="sd">        access patterns&quot;&quot;&quot;</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">pre_load</span><span class="p">()</span>
+        <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_fut_dh</span><span class="p">,</span> <span class="s1">&#39;compute&#39;</span><span class="p">):</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Pre loading future biased data into memory...&#39;</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">bias_fut_dh</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">compute</span><span class="p">()</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Finished pre loading future biased data.&#39;</span><span class="p">)</span></div>
+
+
+    <span class="k">def</span> <span class="nf">_init_out</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize output arrays `self.out`</span>
+
+<span class="sd">        Three datasets are saved here with information to reconstruct the</span>
+<span class="sd">        probability distributions for the three datasets (see class</span>
+<span class="sd">        documentation).</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">keys</span> <span class="o">=</span> <span class="p">[</span><span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_params&#39;</span><span class="p">,</span>
+                <span class="sa">f</span><span class="s1">&#39;bias_fut_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_params&#39;</span><span class="p">,</span>
+                <span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_params&#39;</span><span class="p">,</span>
+                <span class="p">]</span>
+        <span class="n">shape</span> <span class="o">=</span> <span class="p">(</span><span class="o">*</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_gid_raster</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_time_steps</span><span class="p">,</span>
+                 <span class="bp">self</span><span class="o">.</span><span class="n">n_quantiles</span><span class="p">)</span>
+        <span class="n">arr</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">full</span><span class="p">(</span><span class="n">shape</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">out</span> <span class="o">=</span> <span class="p">{</span><span class="n">k</span><span class="p">:</span> <span class="n">arr</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">keys</span><span class="p">}</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">time_window_center</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_window_center</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">n_time_steps</span><span class="p">)</span>
+
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">_window_center</span><span class="p">(</span><span class="n">ntimes</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;A sequence of equally spaced `ntimes` day of year</span>
+
+<span class="sd">        This is used to identify the center of moving windows to apply filters</span>
+<span class="sd">        and masks. For instance, if `ntimes` equal to 12, it would return</span>
+<span class="sd">        12 equal periods, i.e. approximately the months&#39; center time.</span>
+
+<span class="sd">        This is conveniently shifted one half time interval so that December</span>
+<span class="sd">        31st would be closest to the last interval of the year instead of the</span>
+<span class="sd">        first.</span>
+
+<span class="sd">        Leap years are neglected, but if processed here, the doy 366 is</span>
+<span class="sd">        included in the relevant windows as an extra data, which would</span>
+<span class="sd">        cause a negligible error.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        ntimes : int</span>
+<span class="sd">            Number of intervals in one year. Choose 12 for approximately</span>
+<span class="sd">            monthly time scales.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        np.ndarray :</span>
+<span class="sd">            Sequence of days of the year equally spaced and shifted by half</span>
+<span class="sd">            window size, thus `ntimes`=12 results in approximately [15, 45,</span>
+<span class="sd">            ...]. It includes the fraction of a day, thus 15.5 is equivalent</span>
+<span class="sd">            to January 15th, 12:00h.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">assert</span> <span class="n">ntimes</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">,</span> <span class="s2">&quot;Requires a positive number of intervals&quot;</span>
+
+        <span class="n">dt</span> <span class="o">=</span> <span class="mi">365</span> <span class="o">/</span> <span class="n">ntimes</span>
+        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">dt</span> <span class="o">/</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">366</span><span class="p">,</span> <span class="n">dt</span><span class="p">)</span>
+
+    <span class="c1"># pylint: disable=W0613</span>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">_run_single</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span>
+                    <span class="n">bias_data</span><span class="p">,</span>
+                    <span class="n">bias_fut_data</span><span class="p">,</span>
+                    <span class="n">base_fps</span><span class="p">,</span>
+                    <span class="n">bias_feature</span><span class="p">,</span>
+                    <span class="n">base_dset</span><span class="p">,</span>
+                    <span class="n">base_gid</span><span class="p">,</span>
+                    <span class="n">base_handler</span><span class="p">,</span>
+                    <span class="n">daily_reduction</span><span class="p">,</span>
+                    <span class="o">*</span><span class="p">,</span>
+                    <span class="n">bias_ti</span><span class="p">,</span>
+                    <span class="n">bias_fut_ti</span><span class="p">,</span>
+                    <span class="n">decimals</span><span class="p">,</span>
+                    <span class="n">dist</span><span class="p">,</span>
+                    <span class="n">relative</span><span class="p">,</span>
+                    <span class="n">sampling</span><span class="p">,</span>
+                    <span class="n">n_samples</span><span class="p">,</span>
+                    <span class="n">log_base</span><span class="p">,</span>
+                    <span class="n">n_time_steps</span><span class="p">,</span>
+                    <span class="n">window_size</span><span class="p">,</span>
+                    <span class="n">base_dh_inst</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+                    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Estimate probability distributions at a single site&quot;&quot;&quot;</span>
+
+        <span class="n">base_data</span><span class="p">,</span> <span class="n">base_ti</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_base_data</span><span class="p">(</span><span class="n">base_fps</span><span class="p">,</span>
+                                               <span class="n">base_dset</span><span class="p">,</span>
+                                               <span class="n">base_gid</span><span class="p">,</span>
+                                               <span class="n">base_handler</span><span class="p">,</span>
+                                               <span class="n">daily_reduction</span><span class="o">=</span><span class="n">daily_reduction</span><span class="p">,</span>
+                                               <span class="n">decimals</span><span class="o">=</span><span class="n">decimals</span><span class="p">,</span>
+                                               <span class="n">base_dh_inst</span><span class="o">=</span><span class="n">base_dh_inst</span><span class="p">)</span>
+
+        <span class="n">window_size</span> <span class="o">=</span> <span class="n">window_size</span> <span class="ow">or</span> <span class="mi">365</span> <span class="o">/</span> <span class="n">n_time_steps</span>
+        <span class="n">window_center</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">_window_center</span><span class="p">(</span><span class="n">n_time_steps</span><span class="p">)</span>
+
+        <span class="n">template</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">full</span><span class="p">((</span><span class="n">n_time_steps</span><span class="p">,</span> <span class="n">n_samples</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="p">{}</span>
+
+        <span class="k">for</span> <span class="n">nt</span><span class="p">,</span> <span class="n">idt</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">window_center</span><span class="p">):</span>
+            <span class="n">base_idx</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">window_mask</span><span class="p">(</span><span class="n">base_ti</span><span class="o">.</span><span class="n">day_of_year</span><span class="p">,</span> <span class="n">idt</span><span class="p">,</span> <span class="n">window_size</span><span class="p">)</span>
+            <span class="n">bias_idx</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">window_mask</span><span class="p">(</span><span class="n">bias_ti</span><span class="o">.</span><span class="n">day_of_year</span><span class="p">,</span> <span class="n">idt</span><span class="p">,</span> <span class="n">window_size</span><span class="p">)</span>
+            <span class="n">bias_fut_idx</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">window_mask</span><span class="p">(</span><span class="n">bias_fut_ti</span><span class="o">.</span><span class="n">day_of_year</span><span class="p">,</span>
+                                           <span class="n">idt</span><span class="p">,</span>
+                                           <span class="n">window_size</span><span class="p">)</span>
+
+            <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">base_idx</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">any</span><span class="p">(</span><span class="n">bias_idx</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">any</span><span class="p">(</span><span class="n">bias_fut_idx</span><span class="p">):</span>
+                <span class="n">tmp</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_qdm_params</span><span class="p">(</span><span class="n">bias_data</span><span class="p">[</span><span class="n">bias_idx</span><span class="p">],</span>
+                                         <span class="n">bias_fut_data</span><span class="p">[</span><span class="n">bias_fut_idx</span><span class="p">],</span>
+                                         <span class="n">base_data</span><span class="p">[</span><span class="n">base_idx</span><span class="p">],</span>
+                                         <span class="n">bias_feature</span><span class="p">,</span>
+                                         <span class="n">base_dset</span><span class="p">,</span>
+                                         <span class="n">sampling</span><span class="p">,</span>
+                                         <span class="n">n_samples</span><span class="p">,</span>
+                                         <span class="n">log_base</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">tmp</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                    <span class="k">if</span> <span class="n">k</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">out</span><span class="p">:</span>
+                        <span class="n">out</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="n">template</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+                    <span class="n">out</span><span class="p">[</span><span class="n">k</span><span class="p">][(</span><span class="n">nt</span><span class="p">),</span> <span class="p">:]</span> <span class="o">=</span> <span class="n">v</span>
+
+        <span class="k">return</span> <span class="n">out</span>
+
+<div class="viewcode-block" id="QuantileDeltaMappingCorrection.get_qdm_params">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.html#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_qdm_params">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">get_qdm_params</span><span class="p">(</span><span class="n">bias_data</span><span class="p">,</span>
+                       <span class="n">bias_fut_data</span><span class="p">,</span>
+                       <span class="n">base_data</span><span class="p">,</span>
+                       <span class="n">bias_feature</span><span class="p">,</span>
+                       <span class="n">base_dset</span><span class="p">,</span>
+                       <span class="n">sampling</span><span class="p">,</span>
+                       <span class="n">n_samples</span><span class="p">,</span>
+                       <span class="n">log_base</span><span class="p">,</span>
+                       <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get quantiles&#39; cut point for given datasets</span>
+
+<span class="sd">        Estimate the quantiles&#39; cut points for each of the three given</span>
+<span class="sd">        datasets. Lacking a good analytical approximation, such as one of</span>
+<span class="sd">        the parametric distributions, those quantiles can be used to</span>
+<span class="sd">        approximate the statistical distribution of those datasets.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        bias_data : np.ndarray</span>
+<span class="sd">            1D array of biased data observations.</span>
+<span class="sd">        bias_fut_data : np.ndarray</span>
+<span class="sd">            1D array of biased data observations.</span>
+<span class="sd">        base_data : np.ndarray</span>
+<span class="sd">            1D array of base data observations.</span>
+<span class="sd">        bias_feature : str</span>
+<span class="sd">            This is the biased feature from bias_fps to retrieve. This should</span>
+<span class="sd">            be a single feature name corresponding to base_dset.</span>
+<span class="sd">        base_dset : str</span>
+<span class="sd">            A single dataset from the base_fps to retrieve. In the case of wind</span>
+<span class="sd">            components, this can be U_100m or V_100m which will retrieve</span>
+<span class="sd">            windspeed and winddirection and derive the U/V component.</span>
+<span class="sd">        sampling : str</span>
+<span class="sd">            Defines how the quantiles are sampled. For instance, &#39;linear&#39; will</span>
+<span class="sd">            result in a linearly spaced quantiles. Other options are: &#39;log&#39;</span>
+<span class="sd">            and &#39;invlog&#39;.</span>
+<span class="sd">        n_samples : int</span>
+<span class="sd">            Number of points to sample between 0 and 1, i.e. number of</span>
+<span class="sd">            quantiles.</span>
+<span class="sd">        log_base : int | float</span>
+<span class="sd">            Log base value.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out : dict</span>
+<span class="sd">            Dictionary of the quantiles&#39; cut points. Note that to make sense</span>
+<span class="sd">            of those cut point values, one need to know the given arguments</span>
+<span class="sd">            such as `log_base`. For instance, the sequence [-1, 0, 2] are,</span>
+<span class="sd">            if sampling was linear, the minimum, median, and maximum values</span>
+<span class="sd">            respectively. The expected keys are &quot;bias_{bias_feature}_params&quot;,</span>
+<span class="sd">            &quot;bias_fut_{bias_feature}_params&quot;, and &quot;base_{base_dset}_params&quot;.</span>
+
+<span class="sd">        See Also</span>
+<span class="sd">        --------</span>
+<span class="sd">        rex.utilities.bc_utils : Sampling scales, such as `sample_q_linear()`</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="n">sampling</span> <span class="o">==</span> <span class="s1">&#39;linear&#39;</span><span class="p">:</span>
+            <span class="n">quantiles</span> <span class="o">=</span> <span class="n">sample_q_linear</span><span class="p">(</span><span class="n">n_samples</span><span class="p">)</span>
+        <span class="k">elif</span> <span class="n">sampling</span> <span class="o">==</span> <span class="s1">&#39;log&#39;</span><span class="p">:</span>
+            <span class="n">quantiles</span> <span class="o">=</span> <span class="n">sample_q_log</span><span class="p">(</span><span class="n">n_samples</span><span class="p">,</span> <span class="n">log_base</span><span class="p">)</span>
+        <span class="k">elif</span> <span class="n">sampling</span> <span class="o">==</span> <span class="s1">&#39;invlog&#39;</span><span class="p">:</span>
+            <span class="n">quantiles</span> <span class="o">=</span> <span class="n">sample_q_invlog</span><span class="p">(</span><span class="n">n_samples</span><span class="p">,</span> <span class="n">log_base</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;sampling option must be linear, log, or invlog, but &#39;</span>
+                   <span class="s1">&#39;received: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">sampling</span><span class="p">)</span>
+                   <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">KeyError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="n">out</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_params&#39;</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">quantile</span><span class="p">(</span><span class="n">bias_data</span><span class="p">,</span> <span class="n">quantiles</span><span class="p">),</span>
+            <span class="sa">f</span><span class="s1">&#39;bias_fut_</span><span class="si">{</span><span class="n">bias_feature</span><span class="si">}</span><span class="s1">_params&#39;</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">quantile</span><span class="p">(</span><span class="n">bias_fut_data</span><span class="p">,</span>
+                                                           <span class="n">quantiles</span><span class="p">),</span>
+            <span class="sa">f</span><span class="s1">&#39;base_</span><span class="si">{</span><span class="n">base_dset</span><span class="si">}</span><span class="s1">_params&#39;</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">quantile</span><span class="p">(</span><span class="n">base_data</span><span class="p">,</span> <span class="n">quantiles</span><span class="p">),</span>
+        <span class="p">}</span>
+
+        <span class="k">return</span> <span class="n">out</span></div>
+
+
+<div class="viewcode-block" id="QuantileDeltaMappingCorrection.write_outputs">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.html#sup3r.bias.qdm.QuantileDeltaMappingCorrection.write_outputs">[docs]</a>
+    <span class="k">def</span> <span class="nf">write_outputs</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">fp_out</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Write outputs to an .h5 file.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        fp_out : str | None</span>
+<span class="sd">            An HDF5 filename to write the estimated statistical distributions.</span>
+<span class="sd">        out : dict, optional</span>
+<span class="sd">            A dictionary with the three statistical distribution parameters.</span>
+<span class="sd">            If not given, it uses :attr:`.out`.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">out</span> <span class="o">=</span> <span class="n">out</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">out</span>
+
+        <span class="k">if</span> <span class="n">fp_out</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">fp_out</span><span class="p">)):</span>
+                <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">fp_out</span><span class="p">),</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+            <span class="k">with</span> <span class="n">h5py</span><span class="o">.</span><span class="n">File</span><span class="p">(</span><span class="n">fp_out</span><span class="p">,</span> <span class="s1">&#39;w&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+                <span class="c1"># pylint: disable=E1136</span>
+                <span class="n">lat</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_dh</span><span class="o">.</span><span class="n">lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span>
+                <span class="n">lon</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_dh</span><span class="o">.</span><span class="n">lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">create_dataset</span><span class="p">(</span><span class="s1">&#39;latitude&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">lat</span><span class="p">)</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">create_dataset</span><span class="p">(</span><span class="s1">&#39;longitude&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">lon</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">dset</span><span class="p">,</span> <span class="n">data</span> <span class="ow">in</span> <span class="n">out</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                    <span class="n">f</span><span class="o">.</span><span class="n">create_dataset</span><span class="p">(</span><span class="n">dset</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">)</span>
+
+                <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                    <span class="n">f</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">v</span><span class="p">)</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="s2">&quot;dist&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dist</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="s2">&quot;sampling&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sampling</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="s2">&quot;log_base&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">log_base</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="s2">&quot;base_fps&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">base_fps</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="s2">&quot;bias_fps&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_fps</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="s2">&quot;bias_fut_fps&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_fut_fps</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="s2">&quot;time_window_center&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">time_window_center</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="s1">&#39;Wrote quantiles to file: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">fp_out</span><span class="p">))</span></div>
+
+
+<div class="viewcode-block" id="QuantileDeltaMappingCorrection.run">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.html#sup3r.bias.qdm.QuantileDeltaMappingCorrection.run">[docs]</a>
+    <span class="k">def</span> <span class="nf">run</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span>
+            <span class="n">fp_out</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+            <span class="n">max_workers</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+            <span class="n">daily_reduction</span><span class="o">=</span><span class="s1">&#39;avg&#39;</span><span class="p">,</span>
+            <span class="n">fill_extend</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+            <span class="n">smooth_extend</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
+            <span class="n">smooth_interior</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
+            <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Estimate the statistical distributions for each location</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        fp_out : str | None</span>
+<span class="sd">            Optional .h5 output file to write scalar and adder arrays.</span>
+<span class="sd">        max_workers : int, optional</span>
+<span class="sd">            Number of workers to run in parallel. 1 is serial and None is all</span>
+<span class="sd">            available.</span>
+<span class="sd">        daily_reduction : None | str</span>
+<span class="sd">            Option to do a reduction of the hourly+ source base data to daily</span>
+<span class="sd">            data. Can be None (no reduction, keep source time frequency), &quot;avg&quot;</span>
+<span class="sd">            (daily average), &quot;max&quot; (daily max), &quot;min&quot; (daily min),</span>
+<span class="sd">            &quot;sum&quot; (daily sum/total)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out : dict</span>
+<span class="sd">            Dictionary with parameters defining the statistical distributions</span>
+<span class="sd">            for each of the three given datasets. Each value has dimensions</span>
+<span class="sd">            (lat, lon, n-parameters).</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Calculating CDF parameters for QDM&#39;</span><span class="p">)</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Initialized params with shape: </span><span class="si">{}</span><span class="s1">&#39;</span>
+                    <span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_gid_raster</span><span class="o">.</span><span class="n">shape</span><span class="p">))</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">bad_bias_gids</span> <span class="o">=</span> <span class="p">[]</span>
+
+        <span class="c1"># sup3r DataHandler opening base files will load all data in parallel</span>
+        <span class="c1"># during the init and should not be passed in parallel to workers</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">base_dh</span><span class="p">,</span> <span class="n">DataHandler</span><span class="p">):</span>
+            <span class="n">max_workers</span> <span class="o">=</span> <span class="mi">1</span>
+
+        <span class="k">if</span> <span class="n">max_workers</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Running serial calculation.&#39;</span><span class="p">)</span>
+            <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">bias_gid</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_meta</span><span class="o">.</span><span class="n">index</span><span class="p">):</span>
+                <span class="n">raster_loc</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_gid_raster</span> <span class="o">==</span> <span class="n">bias_gid</span><span class="p">)</span>
+                <span class="n">_</span><span class="p">,</span> <span class="n">base_gid</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_base_gid</span><span class="p">(</span><span class="n">bias_gid</span><span class="p">)</span>
+
+                <span class="k">if</span> <span class="ow">not</span> <span class="n">base_gid</span><span class="o">.</span><span class="n">any</span><span class="p">():</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">bad_bias_gids</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">bias_gid</span><span class="p">)</span>
+                    <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;No base data for bias_gid: </span><span class="si">{</span><span class="n">bias_gid</span><span class="si">}</span><span class="s1">. &#39;</span>
+                                 <span class="s1">&#39;Adding it to bad_bias_gids&#39;</span><span class="p">)</span>
+                <span class="k">else</span><span class="p">:</span>
+                    <span class="n">bias_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_bias_data</span><span class="p">(</span><span class="n">bias_gid</span><span class="p">)</span>
+                    <span class="n">bias_fut_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_bias_data</span><span class="p">(</span><span class="n">bias_gid</span><span class="p">,</span>
+                                                       <span class="bp">self</span><span class="o">.</span><span class="n">bias_fut_dh</span><span class="p">)</span>
+                    <span class="n">single_out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_run_single</span><span class="p">(</span>
+                        <span class="n">bias_data</span><span class="p">,</span>
+                        <span class="n">bias_fut_data</span><span class="p">,</span>
+                        <span class="bp">self</span><span class="o">.</span><span class="n">base_fps</span><span class="p">,</span>
+                        <span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="p">,</span>
+                        <span class="bp">self</span><span class="o">.</span><span class="n">base_dset</span><span class="p">,</span>
+                        <span class="n">base_gid</span><span class="p">,</span>
+                        <span class="bp">self</span><span class="o">.</span><span class="n">base_handler</span><span class="p">,</span>
+                        <span class="n">daily_reduction</span><span class="p">,</span>
+                        <span class="n">bias_ti</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_dh</span><span class="o">.</span><span class="n">time_index</span><span class="p">,</span>
+                        <span class="n">bias_fut_ti</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_fut_dh</span><span class="o">.</span><span class="n">time_index</span><span class="p">,</span>
+                        <span class="n">decimals</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">decimals</span><span class="p">,</span>
+                        <span class="n">dist</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">dist</span><span class="p">,</span>
+                        <span class="n">relative</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">relative</span><span class="p">,</span>
+                        <span class="n">sampling</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">sampling</span><span class="p">,</span>
+                        <span class="n">n_samples</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">n_quantiles</span><span class="p">,</span>
+                        <span class="n">log_base</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">log_base</span><span class="p">,</span>
+                        <span class="n">n_time_steps</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">n_time_steps</span><span class="p">,</span>
+                        <span class="n">window_size</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">window_size</span><span class="p">,</span>
+                        <span class="n">base_dh_inst</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">base_dh</span><span class="p">,</span>
+                    <span class="p">)</span>
+                    <span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">arr</span> <span class="ow">in</span> <span class="n">single_out</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                        <span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">[</span><span class="n">key</span><span class="p">][</span><span class="n">raster_loc</span><span class="p">]</span> <span class="o">=</span> <span class="n">arr</span>
+
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Completed bias calculations for </span><span class="si">{}</span><span class="s1"> out of </span><span class="si">{}</span><span class="s1"> &#39;</span>
+                            <span class="s1">&#39;sites&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">i</span> <span class="o">+</span> <span class="mi">1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_meta</span><span class="p">)))</span>
+
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                <span class="s1">&#39;Running parallel calculation with </span><span class="si">{}</span><span class="s1"> workers.&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="n">max_workers</span><span class="p">))</span>
+            <span class="k">with</span> <span class="n">ProcessPoolExecutor</span><span class="p">(</span><span class="n">max_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">)</span> <span class="k">as</span> <span class="n">exe</span><span class="p">:</span>
+                <span class="n">futures</span> <span class="o">=</span> <span class="p">{}</span>
+                <span class="k">for</span> <span class="n">bias_gid</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_meta</span><span class="o">.</span><span class="n">index</span><span class="p">:</span>
+                    <span class="n">raster_loc</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_gid_raster</span> <span class="o">==</span> <span class="n">bias_gid</span><span class="p">)</span>
+                    <span class="n">_</span><span class="p">,</span> <span class="n">base_gid</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_base_gid</span><span class="p">(</span><span class="n">bias_gid</span><span class="p">)</span>
+
+                    <span class="k">if</span> <span class="ow">not</span> <span class="n">base_gid</span><span class="o">.</span><span class="n">any</span><span class="p">():</span>
+                        <span class="bp">self</span><span class="o">.</span><span class="n">bad_bias_gids</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">bias_gid</span><span class="p">)</span>
+                    <span class="k">else</span><span class="p">:</span>
+                        <span class="n">bias_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_bias_data</span><span class="p">(</span><span class="n">bias_gid</span><span class="p">)</span>
+                        <span class="n">bias_fut_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_bias_data</span><span class="p">(</span><span class="n">bias_gid</span><span class="p">,</span>
+                                                           <span class="bp">self</span><span class="o">.</span><span class="n">bias_fut_dh</span><span class="p">)</span>
+                        <span class="n">future</span> <span class="o">=</span> <span class="n">exe</span><span class="o">.</span><span class="n">submit</span><span class="p">(</span>
+                            <span class="bp">self</span><span class="o">.</span><span class="n">_run_single</span><span class="p">,</span>
+                            <span class="n">bias_data</span><span class="p">,</span>
+                            <span class="n">bias_fut_data</span><span class="p">,</span>
+                            <span class="bp">self</span><span class="o">.</span><span class="n">base_fps</span><span class="p">,</span>
+                            <span class="bp">self</span><span class="o">.</span><span class="n">bias_feature</span><span class="p">,</span>
+                            <span class="bp">self</span><span class="o">.</span><span class="n">base_dset</span><span class="p">,</span>
+                            <span class="n">base_gid</span><span class="p">,</span>
+                            <span class="bp">self</span><span class="o">.</span><span class="n">base_handler</span><span class="p">,</span>
+                            <span class="n">daily_reduction</span><span class="p">,</span>
+                            <span class="n">bias_ti</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_dh</span><span class="o">.</span><span class="n">time_index</span><span class="p">,</span>
+                            <span class="n">bias_fut_ti</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_fut_dh</span><span class="o">.</span><span class="n">time_index</span><span class="p">,</span>
+                            <span class="n">decimals</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">decimals</span><span class="p">,</span>
+                            <span class="n">dist</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">dist</span><span class="p">,</span>
+                            <span class="n">relative</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">relative</span><span class="p">,</span>
+                            <span class="n">sampling</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">sampling</span><span class="p">,</span>
+                            <span class="n">n_samples</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">n_quantiles</span><span class="p">,</span>
+                            <span class="n">log_base</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">log_base</span><span class="p">,</span>
+                            <span class="n">n_time_steps</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">n_time_steps</span><span class="p">,</span>
+                            <span class="n">window_size</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">window_size</span><span class="p">,</span>
+                        <span class="p">)</span>
+                        <span class="n">futures</span><span class="p">[</span><span class="n">future</span><span class="p">]</span> <span class="o">=</span> <span class="n">raster_loc</span>
+
+                <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Finished launching futures.&#39;</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">future</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">as_completed</span><span class="p">(</span><span class="n">futures</span><span class="p">)):</span>
+                    <span class="n">raster_loc</span> <span class="o">=</span> <span class="n">futures</span><span class="p">[</span><span class="n">future</span><span class="p">]</span>
+                    <span class="n">single_out</span> <span class="o">=</span> <span class="n">future</span><span class="o">.</span><span class="n">result</span><span class="p">()</span>
+                    <span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">arr</span> <span class="ow">in</span> <span class="n">single_out</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                        <span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">[</span><span class="n">key</span><span class="p">][</span><span class="n">raster_loc</span><span class="p">]</span> <span class="o">=</span> <span class="n">arr</span>
+
+                    <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Completed bias calculations for </span><span class="si">{}</span><span class="s1"> out of </span><span class="si">{}</span><span class="s1"> &#39;</span>
+                                <span class="s1">&#39;sites&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">i</span> <span class="o">+</span> <span class="mi">1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">futures</span><span class="p">)))</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Finished calculating bias correction factors.&#39;</span><span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">fill_and_smooth</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">,</span> <span class="n">fill_extend</span><span class="p">,</span> <span class="n">smooth_extend</span><span class="p">,</span>
+                                        <span class="n">smooth_interior</span><span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">write_outputs</span><span class="p">(</span><span class="n">fp_out</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="QuantileDeltaMappingCorrection.window_mask">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.html#sup3r.bias.qdm.QuantileDeltaMappingCorrection.window_mask">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">window_mask</span><span class="p">(</span><span class="n">doy</span><span class="p">,</span> <span class="n">d0</span><span class="p">,</span> <span class="n">window_size</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;An index of elements within a given time window</span>
+
+<span class="sd">        Create an index of days of the year within the target time window. It</span>
+<span class="sd">        only considers the day of the year (doy), hence, it is limited to time</span>
+<span class="sd">        scales smaller than annual.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        doy : np.ndarray</span>
+<span class="sd">            An unordered array of days of year, i.e. January 1st is 1.</span>
+<span class="sd">        d0 : int</span>
+<span class="sd">            Center point of the target window [day of year].</span>
+<span class="sd">        window_size : float</span>
+<span class="sd">            Total size of the target window, i.e. the window covers half this</span>
+<span class="sd">            value on each side of d0. Note that it has the same units of doy,</span>
+<span class="sd">            thus it is equal to the number of points only if doy is daily.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        np.array</span>
+<span class="sd">            An boolean array with the same shape of the given `doy`, where</span>
+<span class="sd">            True means that position is within the target window.</span>
+
+<span class="sd">        Notes</span>
+<span class="sd">        -----</span>
+<span class="sd">        Leap years have the day 366 included in the output index, but a</span>
+<span class="sd">        precise shift is not calculated, resulting in a negligible error</span>
+<span class="sd">        in large datasets.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">d_start</span> <span class="o">=</span> <span class="n">d0</span> <span class="o">-</span> <span class="n">window_size</span> <span class="o">/</span> <span class="mi">2</span>
+        <span class="n">d_end</span> <span class="o">=</span> <span class="n">d0</span> <span class="o">+</span> <span class="n">window_size</span> <span class="o">/</span> <span class="mi">2</span>
+
+        <span class="k">if</span> <span class="n">d_start</span> <span class="o">&lt;</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="n">idx</span> <span class="o">=</span> <span class="p">(</span><span class="n">doy</span> <span class="o">&gt;</span> <span class="mi">365</span> <span class="o">+</span> <span class="n">d_start</span><span class="p">)</span> <span class="o">|</span> <span class="p">(</span><span class="n">doy</span> <span class="o">&lt;</span> <span class="n">d_end</span><span class="p">)</span>
+        <span class="k">elif</span> <span class="n">d_end</span> <span class="o">&gt;</span> <span class="mi">365</span><span class="p">:</span>
+            <span class="n">idx</span> <span class="o">=</span> <span class="p">(</span><span class="n">doy</span> <span class="o">&gt;</span> <span class="n">d_start</span><span class="p">)</span> <span class="o">|</span> <span class="p">(</span><span class="n">doy</span> <span class="o">&lt;</span> <span class="n">d_end</span> <span class="o">-</span> <span class="mi">365</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">idx</span> <span class="o">=</span> <span class="p">(</span><span class="n">doy</span> <span class="o">&gt;</span> <span class="n">d_start</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">doy</span> <span class="o">&lt;</span> <span class="n">d_end</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">idx</span></div>
+</div>
+
+</pre></div>
+
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+  <h1>Source code for sup3r.bias.utilities</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Bias correction methods which can be applied to data handler data.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">from</span> <span class="nn">inspect</span> <span class="kn">import</span> <span class="n">signature</span>
+<span class="kn">from</span> <span class="nn">warnings</span> <span class="kn">import</span> <span class="n">warn</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">from</span> <span class="nn">rex</span> <span class="kn">import</span> <span class="n">Resource</span>
+
+<span class="kn">import</span> <span class="nn">sup3r.bias.bias_transforms</span>
+<span class="kn">from</span> <span class="nn">sup3r.bias.bias_transforms</span> <span class="kn">import</span> <span class="n">_get_spatial_bc_factors</span><span class="p">,</span> <span class="n">local_qdm_bc</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">_parse_time_slice</span><span class="p">,</span>
+    <span class="n">get_date_range_kwargs</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="lin_bc">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.utilities.lin_bc.html#sup3r.bias.utilities.lin_bc">[docs]</a>
+<span class="k">def</span> <span class="nf">lin_bc</span><span class="p">(</span><span class="n">handler</span><span class="p">,</span> <span class="n">bc_files</span><span class="p">,</span> <span class="n">bias_feature</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">threshold</span><span class="o">=</span><span class="mf">0.1</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Bias correct the data in this DataHandler in place using linear bias</span>
+<span class="sd">    correction factors from files output by MonthlyLinearCorrection or</span>
+<span class="sd">    LinearCorrection from sup3r.bias.bias_calc</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    handler : DataHandler</span>
+<span class="sd">        DataHandler instance with `.data` attribute containing data to</span>
+<span class="sd">        bias correct</span>
+<span class="sd">    bc_files : list | tuple | str</span>
+<span class="sd">        One or more filepaths to .h5 files output by</span>
+<span class="sd">        MonthlyLinearCorrection or LinearCorrection. These should contain</span>
+<span class="sd">        datasets named &quot;{feature}_scalar&quot; and &quot;{feature}_adder&quot; where</span>
+<span class="sd">        {feature} is one of the features contained by this DataHandler and</span>
+<span class="sd">        the data is a 3D array of shape (lat, lon, time) where time is</span>
+<span class="sd">        length 1 for annual correction or 12 for monthly correction.</span>
+<span class="sd">    bias_feature : str | None</span>
+<span class="sd">        Name of the feature used as a reference. Dataset with</span>
+<span class="sd">        name &quot;base_{bias_feature}_scalar&quot; and</span>
+<span class="sd">        &quot;base_{bias_feature}_adder&quot; will be retrieved from ``bc_files``.</span>
+<span class="sd">    threshold : float</span>
+<span class="sd">        Nearest neighbor euclidean distance threshold. If the DataHandler</span>
+<span class="sd">        coordinates are more than this value away from the bias correction</span>
+<span class="sd">        lat/lon, an error is raised.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">bc_files</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+        <span class="n">bc_files</span> <span class="o">=</span> <span class="p">[</span><span class="n">bc_files</span><span class="p">]</span>
+
+    <span class="n">completed</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="k">for</span> <span class="n">feature</span> <span class="ow">in</span> <span class="n">handler</span><span class="o">.</span><span class="n">features</span><span class="p">:</span>
+        <span class="k">for</span> <span class="n">fp</span> <span class="ow">in</span> <span class="n">bc_files</span><span class="p">:</span>
+            <span class="n">ref_feature</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="n">feature</span> <span class="k">if</span> <span class="n">bias_feature</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">bias_feature</span>
+            <span class="p">)</span>
+            <span class="n">dset_scalar</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">ref_feature</span><span class="si">}</span><span class="s1">_scalar&#39;</span>
+            <span class="n">dset_adder</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">ref_feature</span><span class="si">}</span><span class="s1">_adder&#39;</span>
+            <span class="k">with</span> <span class="n">Resource</span><span class="p">(</span><span class="n">fp</span><span class="p">)</span> <span class="k">as</span> <span class="n">res</span><span class="p">:</span>
+                <span class="n">dsets</span> <span class="o">=</span> <span class="p">[</span><span class="n">dset</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="k">for</span> <span class="n">dset</span> <span class="ow">in</span> <span class="n">res</span><span class="o">.</span><span class="n">dsets</span><span class="p">]</span>
+                <span class="n">check</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="n">dset_scalar</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">in</span> <span class="n">dsets</span>
+                    <span class="ow">and</span> <span class="n">dset_adder</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">in</span> <span class="n">dsets</span>
+                <span class="p">)</span>
+            <span class="k">if</span> <span class="n">feature</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">completed</span> <span class="ow">and</span> <span class="n">check</span><span class="p">:</span>
+                <span class="n">out</span> <span class="o">=</span> <span class="n">_get_spatial_bc_factors</span><span class="p">(</span>
+                    <span class="n">lat_lon</span><span class="o">=</span><span class="n">handler</span><span class="o">.</span><span class="n">lat_lon</span><span class="p">,</span>
+                    <span class="n">feature_name</span><span class="o">=</span><span class="n">ref_feature</span><span class="p">,</span>
+                    <span class="n">bias_fp</span><span class="o">=</span><span class="n">fp</span><span class="p">,</span>
+                    <span class="n">threshold</span><span class="o">=</span><span class="n">threshold</span><span class="p">,</span>
+                <span class="p">)</span>
+                <span class="n">scalar</span><span class="p">,</span> <span class="n">adder</span> <span class="o">=</span> <span class="n">out</span><span class="p">[</span><span class="s1">&#39;scalar&#39;</span><span class="p">],</span> <span class="n">out</span><span class="p">[</span><span class="s1">&#39;adder&#39;</span><span class="p">]</span>
+
+                <span class="k">if</span> <span class="n">scalar</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+                    <span class="n">scalar</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">repeat</span><span class="p">(</span><span class="n">scalar</span><span class="p">,</span> <span class="n">handler</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+                    <span class="n">adder</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">repeat</span><span class="p">(</span><span class="n">adder</span><span class="p">,</span> <span class="n">handler</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+                <span class="k">elif</span> <span class="n">scalar</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="mi">12</span><span class="p">:</span>
+                    <span class="n">idm</span> <span class="o">=</span> <span class="n">handler</span><span class="o">.</span><span class="n">time_index</span><span class="o">.</span><span class="n">month</span><span class="o">.</span><span class="n">values</span> <span class="o">-</span> <span class="mi">1</span>
+                    <span class="n">scalar</span> <span class="o">=</span> <span class="n">scalar</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">idm</span><span class="p">]</span>
+                    <span class="n">adder</span> <span class="o">=</span> <span class="n">adder</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">idm</span><span class="p">]</span>
+                <span class="k">else</span><span class="p">:</span>
+                    <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                        <span class="s1">&#39;Can only accept bias correction factors &#39;</span>
+                        <span class="s1">&#39;with last dim equal to 1 or 12 but &#39;</span>
+                        <span class="s1">&#39;received bias correction factors with &#39;</span>
+                        <span class="s1">&#39;shape </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">scalar</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+                    <span class="p">)</span>
+                    <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                    <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="s1">&#39;Bias correcting &quot;</span><span class="si">{}</span><span class="s1">&quot; with linear &#39;</span>
+                    <span class="s1">&#39;correction from &quot;</span><span class="si">{}</span><span class="s1">&quot;&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                        <span class="n">feature</span><span class="p">,</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">basename</span><span class="p">(</span><span class="n">fp</span><span class="p">)</span>
+                    <span class="p">)</span>
+                <span class="p">)</span>
+                <span class="n">handler</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="n">scalar</span> <span class="o">*</span> <span class="n">handler</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">feature</span><span class="p">][</span><span class="o">...</span><span class="p">]</span> <span class="o">+</span> <span class="n">adder</span>
+                <span class="p">)</span>
+                <span class="n">completed</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="qdm_bc">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.utilities.qdm_bc.html#sup3r.bias.utilities.qdm_bc">[docs]</a>
+<span class="k">def</span> <span class="nf">qdm_bc</span><span class="p">(</span>
+    <span class="n">handler</span><span class="p">,</span>
+    <span class="n">bc_files</span><span class="p">,</span>
+    <span class="n">bias_feature</span><span class="p">,</span>
+    <span class="n">relative</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">threshold</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span>
+    <span class="n">no_trend</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Bias Correction using Quantile Delta Mapping</span>
+
+<span class="sd">    Bias correct this DataHandler&#39;s data with Quantile Delta Mapping. The</span>
+<span class="sd">    required statistical distributions should be pre-calculated using</span>
+<span class="sd">    :class:`sup3r.bias.bias_calc.QuantileDeltaMappingCorrection`.</span>
+
+<span class="sd">    Warning: There is no guarantee that the coefficients from ``bc_files``</span>
+<span class="sd">    match the resource processed here. Be careful choosing ``bc_files``.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    handler : DataHandler</span>
+<span class="sd">        DataHandler instance with `.data` attribute containing data to</span>
+<span class="sd">        bias correct</span>
+<span class="sd">    bc_files : list | tuple | str</span>
+<span class="sd">        One or more filepaths to .h5 files output by</span>
+<span class="sd">        :class:`bias_calc.QuantileDeltaMappingCorrection`. These should</span>
+<span class="sd">        contain datasets named &quot;base_{bias_feature}_params&quot;,</span>
+<span class="sd">        &quot;bias_{feature}_params&quot;, and &quot;bias_fut_{feature}_params&quot; where</span>
+<span class="sd">        {feature} is one of the features contained by this DataHandler and</span>
+<span class="sd">        the data is a 3D array of shape (lat, lon, time) where time.</span>
+<span class="sd">    bias_feature : str</span>
+<span class="sd">        Name of the feature used as (historical) reference. Dataset with</span>
+<span class="sd">        name &quot;base_{bias_feature}_params&quot; will be retrieved from</span>
+<span class="sd">        ``bc_files``.</span>
+<span class="sd">    relative : bool, default=True</span>
+<span class="sd">        Switcher to apply QDM as a relative (use True) or absolute (use</span>
+<span class="sd">        False) correction value.</span>
+<span class="sd">    threshold : float, default=0.1</span>
+<span class="sd">        Nearest neighbor euclidean distance threshold. If the DataHandler</span>
+<span class="sd">        coordinates are more than this value away from the bias correction</span>
+<span class="sd">        lat/lon, an error is raised.</span>
+<span class="sd">    no_trend: bool, default=False</span>
+<span class="sd">        An option to ignore the trend component of the correction, thus</span>
+<span class="sd">        resulting in an ordinary Quantile Mapping, i.e. corrects the bias</span>
+<span class="sd">        by comparing the distributions of the biased dataset with a</span>
+<span class="sd">        reference datasets. See ``params_mf`` of</span>
+<span class="sd">        :class:`rex.utilities.bc_utils.QuantileDeltaMapping`.</span>
+<span class="sd">        Note that this assumes that &quot;bias_{feature}_params&quot;</span>
+<span class="sd">        (``params_mh``) is the data distribution representative for the</span>
+<span class="sd">        target data.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">bc_files</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+        <span class="n">bc_files</span> <span class="o">=</span> <span class="p">[</span><span class="n">bc_files</span><span class="p">]</span>
+
+    <span class="n">completed</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="n">dr_kwargs</span> <span class="o">=</span> <span class="n">get_date_range_kwargs</span><span class="p">(</span><span class="n">handler</span><span class="o">.</span><span class="n">time_index</span><span class="p">)</span>
+    <span class="k">for</span> <span class="n">feature</span> <span class="ow">in</span> <span class="n">handler</span><span class="o">.</span><span class="n">features</span><span class="p">:</span>
+        <span class="n">dset_bc_hist</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;bias_</span><span class="si">{</span><span class="n">feature</span><span class="si">}</span><span class="s1">_params&#39;</span>
+        <span class="n">dset_bc_fut</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;bias_fut_</span><span class="si">{</span><span class="n">feature</span><span class="si">}</span><span class="s1">_params&#39;</span>
+
+        <span class="k">for</span> <span class="n">fp</span> <span class="ow">in</span> <span class="n">bc_files</span><span class="p">:</span>
+            <span class="k">with</span> <span class="n">Resource</span><span class="p">(</span><span class="n">fp</span><span class="p">)</span> <span class="k">as</span> <span class="n">res</span><span class="p">:</span>
+                <span class="n">check</span> <span class="o">=</span> <span class="n">dset_bc_hist</span> <span class="ow">in</span> <span class="n">res</span><span class="o">.</span><span class="n">dsets</span> <span class="ow">and</span> <span class="n">dset_bc_fut</span> <span class="ow">in</span> <span class="n">res</span><span class="o">.</span><span class="n">dsets</span>
+
+            <span class="k">if</span> <span class="n">feature</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">completed</span> <span class="ow">and</span> <span class="n">check</span><span class="p">:</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="s1">&#39;Bias correcting &quot;</span><span class="si">{}</span><span class="s1">&quot; with QDM &#39;</span>
+                    <span class="s1">&#39;correction from &quot;</span><span class="si">{}</span><span class="s1">&quot;&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                        <span class="n">feature</span><span class="p">,</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">basename</span><span class="p">(</span><span class="n">fp</span><span class="p">)</span>
+                    <span class="p">)</span>
+                <span class="p">)</span>
+                <span class="n">handler</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span> <span class="o">=</span> <span class="n">local_qdm_bc</span><span class="p">(</span>
+                    <span class="n">handler</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">feature</span><span class="p">][</span><span class="o">...</span><span class="p">],</span>
+                    <span class="n">handler</span><span class="o">.</span><span class="n">lat_lon</span><span class="p">,</span>
+                    <span class="n">bias_feature</span><span class="p">,</span>
+                    <span class="n">feature</span><span class="p">,</span>
+                    <span class="n">bias_fp</span><span class="o">=</span><span class="n">fp</span><span class="p">,</span>
+                    <span class="n">date_range_kwargs</span><span class="o">=</span><span class="n">dr_kwargs</span><span class="p">,</span>
+                    <span class="n">threshold</span><span class="o">=</span><span class="n">threshold</span><span class="p">,</span>
+                    <span class="n">relative</span><span class="o">=</span><span class="n">relative</span><span class="p">,</span>
+                    <span class="n">no_trend</span><span class="o">=</span><span class="n">no_trend</span><span class="p">,</span>
+                <span class="p">)</span>
+                <span class="n">completed</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="bias_correct_feature">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.utilities.bias_correct_feature.html#sup3r.bias.utilities.bias_correct_feature">[docs]</a>
+<span class="k">def</span> <span class="nf">bias_correct_feature</span><span class="p">(</span>
+    <span class="n">source_feature</span><span class="p">,</span>
+    <span class="n">input_handler</span><span class="p">,</span>
+    <span class="n">bc_method</span><span class="p">,</span>
+    <span class="n">bc_kwargs</span><span class="p">,</span>
+    <span class="n">time_slice</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Bias correct data using a method defined by the bias_correct_method</span>
+<span class="sd">    input to :class:`ForwardPassStrategy`</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    source_feature : str</span>
+<span class="sd">        The source feature name corresponding to the output feature name</span>
+<span class="sd">    input_handler : DataHandler</span>
+<span class="sd">        DataHandler storing raw input data previously used as input for</span>
+<span class="sd">        forward passes. This is assumed to have data with shape (lats, lons,</span>
+<span class="sd">        time, features), which can be accessed through the handler with</span>
+<span class="sd">        handler[feature, lat_slice, lon_slice, time_slice]</span>
+<span class="sd">    bc_method : Callable</span>
+<span class="sd">        Bias correction method from `bias_transforms.py`</span>
+<span class="sd">    bc_kwargs : dict</span>
+<span class="sd">        Dictionary of keyword arguments for bc_method</span>
+<span class="sd">    time_slice : slice | None</span>
+<span class="sd">        Optional time slice to restrict bias correction domain</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    data : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        Data corrected by the bias_correct_method ready for input to the</span>
+<span class="sd">        forward pass through the generative model.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">time_slice</span> <span class="o">=</span> <span class="n">_parse_time_slice</span><span class="p">(</span><span class="n">time_slice</span><span class="p">)</span>
+    <span class="n">data</span> <span class="o">=</span> <span class="n">input_handler</span><span class="p">[</span><span class="n">source_feature</span><span class="p">][</span><span class="o">...</span><span class="p">,</span> <span class="n">time_slice</span><span class="p">]</span>
+    <span class="n">lat_lon</span> <span class="o">=</span> <span class="n">input_handler</span><span class="o">.</span><span class="n">lat_lon</span>
+    <span class="k">if</span> <span class="n">bc_method</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">bc_method</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">sup3r</span><span class="o">.</span><span class="n">bias</span><span class="o">.</span><span class="n">bias_transforms</span><span class="p">,</span> <span class="n">bc_method</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Running bias correction with: </span><span class="si">{</span><span class="n">bc_method</span><span class="si">}</span><span class="s1">.&#39;</span><span class="p">)</span>
+        <span class="n">feature_kwargs</span> <span class="o">=</span> <span class="n">bc_kwargs</span><span class="p">[</span><span class="n">source_feature</span><span class="p">]</span>
+
+        <span class="k">if</span> <span class="s1">&#39;date_range_kwargs&#39;</span> <span class="ow">in</span> <span class="n">signature</span><span class="p">(</span><span class="n">bc_method</span><span class="p">)</span><span class="o">.</span><span class="n">parameters</span><span class="p">:</span>
+            <span class="n">ti</span> <span class="o">=</span> <span class="n">input_handler</span><span class="o">.</span><span class="n">time_index</span><span class="p">[</span><span class="n">time_slice</span><span class="p">]</span>
+            <span class="n">feature_kwargs</span><span class="p">[</span><span class="s1">&#39;date_range_kwargs&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">get_date_range_kwargs</span><span class="p">(</span><span class="n">ti</span><span class="p">)</span>
+        <span class="k">if</span> <span class="p">(</span>
+            <span class="s1">&#39;lr_padded_slice&#39;</span> <span class="ow">in</span> <span class="n">signature</span><span class="p">(</span><span class="n">bc_method</span><span class="p">)</span><span class="o">.</span><span class="n">parameters</span>
+            <span class="ow">and</span> <span class="s1">&#39;lr_padded_slice&#39;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">feature_kwargs</span>
+        <span class="p">):</span>
+            <span class="n">feature_kwargs</span><span class="p">[</span><span class="s1">&#39;lr_padded_slice&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="k">if</span> <span class="p">(</span>
+            <span class="s1">&#39;temporal_avg&#39;</span> <span class="ow">in</span> <span class="n">signature</span><span class="p">(</span><span class="n">bc_method</span><span class="p">)</span><span class="o">.</span><span class="n">parameters</span>
+            <span class="ow">and</span> <span class="s1">&#39;temporal_avg&#39;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">feature_kwargs</span>
+        <span class="p">):</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;The kwarg &quot;temporal_avg&quot; was not provided in the bias &#39;</span>
+                <span class="s1">&#39;correction kwargs but is present in the bias &#39;</span>
+                <span class="s1">&#39;correction function &quot;</span><span class="si">{}</span><span class="s1">&quot;. If this is not set &#39;</span>
+                <span class="s1">&#39;appropriately, especially for monthly bias &#39;</span>
+                <span class="s1">&#39;correction, it could result in QA results that look &#39;</span>
+                <span class="s1">&#39;worse than they actually are.&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">bc_method</span><span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Bias correcting source_feature &quot;</span><span class="si">{</span><span class="n">source_feature</span><span class="si">}</span><span class="s1">&quot; using &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;function: </span><span class="si">{</span><span class="n">bc_method</span><span class="si">}</span><span class="s1"> with kwargs: </span><span class="si">{</span><span class="n">feature_kwargs</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="n">data</span> <span class="o">=</span> <span class="n">bc_method</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">lat_lon</span><span class="p">,</span> <span class="o">**</span><span class="n">feature_kwargs</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">data</span></div>
+
+
+
+<div class="viewcode-block" id="bias_correct_features">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.bias.utilities.bias_correct_features.html#sup3r.bias.utilities.bias_correct_features">[docs]</a>
+<span class="k">def</span> <span class="nf">bias_correct_features</span><span class="p">(</span>
+    <span class="n">features</span><span class="p">,</span>
+    <span class="n">input_handler</span><span class="p">,</span>
+    <span class="n">bc_method</span><span class="p">,</span>
+    <span class="n">bc_kwargs</span><span class="p">,</span>
+    <span class="n">time_slice</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Bias correct all feature data using a method defined by the</span>
+<span class="sd">    bias_correct_method input to :class:`ForwardPassStrategy`</span>
+
+<span class="sd">    See Also</span>
+<span class="sd">    --------</span>
+<span class="sd">    :func:`bias_correct_feature`</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">time_slice</span> <span class="o">=</span> <span class="n">_parse_time_slice</span><span class="p">(</span><span class="n">time_slice</span><span class="p">)</span>
+    <span class="k">for</span> <span class="n">feat</span> <span class="ow">in</span> <span class="n">features</span><span class="p">:</span>
+        <span class="k">try</span><span class="p">:</span>
+            <span class="n">input_handler</span><span class="p">[</span><span class="n">feat</span><span class="p">][</span><span class="o">...</span><span class="p">,</span> <span class="n">time_slice</span><span class="p">]</span> <span class="o">=</span> <span class="n">bias_correct_feature</span><span class="p">(</span>
+                <span class="n">source_feature</span><span class="o">=</span><span class="n">feat</span><span class="p">,</span>
+                <span class="n">input_handler</span><span class="o">=</span><span class="n">input_handler</span><span class="p">,</span>
+                <span class="n">time_slice</span><span class="o">=</span><span class="n">time_slice</span><span class="p">,</span>
+                <span class="n">bc_method</span><span class="o">=</span><span class="n">bc_method</span><span class="p">,</span>
+                <span class="n">bc_kwargs</span><span class="o">=</span><span class="n">bc_kwargs</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;Could not run bias correction method </span><span class="si">{</span><span class="n">bc_method</span><span class="si">}</span><span class="s1"> on &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;feature </span><span class="si">{</span><span class="n">feat</span><span class="si">}</span><span class="s1"> time slice </span><span class="si">{</span><span class="n">time_slice</span><span class="si">}</span><span class="s1"> with input &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;handler of class </span><span class="si">{</span><span class="nb">type</span><span class="p">(</span><span class="n">input_handler</span><span class="p">)</span><span class="si">}</span><span class="s1"> with shape &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">input_handler</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">. Received error: </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">exception</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span>
+    <span class="k">return</span> <span class="n">input_handler</span></div>
+
+</pre></div>
+
+                </article>
+              
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+  <h1>Source code for sup3r.models.abstract</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Abstract class defining the required interface for Sup3r model subclasses&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">import</span> <span class="nn">locale</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">pprint</span>
+<span class="kn">import</span> <span class="nn">re</span>
+<span class="kn">import</span> <span class="nn">time</span>
+<span class="kn">from</span> <span class="nn">abc</span> <span class="kn">import</span> <span class="n">ABC</span><span class="p">,</span> <span class="n">abstractmethod</span>
+<span class="kn">from</span> <span class="nn">concurrent.futures</span> <span class="kn">import</span> <span class="n">ThreadPoolExecutor</span>
+<span class="kn">from</span> <span class="nn">inspect</span> <span class="kn">import</span> <span class="n">signature</span>
+<span class="kn">from</span> <span class="nn">warnings</span> <span class="kn">import</span> <span class="n">warn</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">tensorflow</span> <span class="k">as</span> <span class="nn">tf</span>
+<span class="kn">from</span> <span class="nn">phygnn</span> <span class="kn">import</span> <span class="n">CustomNetwork</span>
+<span class="kn">from</span> <span class="nn">phygnn.layers.custom_layers</span> <span class="kn">import</span> <span class="n">Sup3rAdder</span><span class="p">,</span> <span class="n">Sup3rConcat</span>
+<span class="kn">from</span> <span class="nn">rex.utilities.utilities</span> <span class="kn">import</span> <span class="n">safe_json_load</span>
+<span class="kn">from</span> <span class="nn">tensorflow.keras</span> <span class="kn">import</span> <span class="n">optimizers</span>
+
+<span class="kn">import</span> <span class="nn">sup3r.utilities.loss_metrics</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.data_handlers</span> <span class="kn">import</span> <span class="n">ExoData</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="n">numpy_if_tensor</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities</span> <span class="kn">import</span> <span class="n">VERSION_RECORD</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.utilities</span> <span class="kn">import</span> <span class="n">Timer</span><span class="p">,</span> <span class="n">safe_cast</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="TensorboardMixIn">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.TensorboardMixIn.html#sup3r.models.abstract.TensorboardMixIn">[docs]</a>
+<span class="k">class</span> <span class="nc">TensorboardMixIn</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;MixIn class for tensorboard logging and profiling.&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_tb_writer</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_tb_log_dir</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_write_tb_profile</span> <span class="o">=</span> <span class="kc">False</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_total_batches</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_history</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">timer</span> <span class="o">=</span> <span class="n">Timer</span><span class="p">()</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">total_batches</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Record of total number of batches for logging.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_total_batches</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">_history</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_total_batches</span> <span class="o">=</span> <span class="mi">0</span>
+        <span class="k">elif</span> <span class="bp">self</span><span class="o">.</span><span class="n">_history</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">and</span> <span class="s1">&#39;total_batches&#39;</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_history</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_total_batches</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_history</span><span class="p">[</span><span class="s1">&#39;total_batches&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+        <span class="k">elif</span> <span class="bp">self</span><span class="o">.</span><span class="n">_total_batches</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">_history</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_total_batches</span> <span class="o">=</span> <span class="mi">0</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_total_batches</span>
+
+    <span class="nd">@total_batches</span><span class="o">.</span><span class="n">setter</span>
+    <span class="k">def</span> <span class="nf">total_batches</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Set total number of batches.&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_total_batches</span> <span class="o">=</span> <span class="n">value</span>
+
+<div class="viewcode-block" id="TensorboardMixIn.dict_to_tensorboard">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.TensorboardMixIn.html#sup3r.models.abstract.TensorboardMixIn.dict_to_tensorboard">[docs]</a>
+    <span class="k">def</span> <span class="nf">dict_to_tensorboard</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">entry</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Write data to tensorboard log file. This is usually a loss_details</span>
+<span class="sd">        dictionary.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        entry: dict</span>
+<span class="sd">            Dictionary of values to write to tensorboard log file</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_tb_writer</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">with</span> <span class="bp">self</span><span class="o">.</span><span class="n">_tb_writer</span><span class="o">.</span><span class="n">as_default</span><span class="p">():</span>
+                <span class="k">for</span> <span class="n">name</span><span class="p">,</span> <span class="n">value</span> <span class="ow">in</span> <span class="n">entry</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">value</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+                        <span class="n">tf</span><span class="o">.</span><span class="n">summary</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">value</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">total_batches</span><span class="p">)</span>
+                    <span class="k">else</span><span class="p">:</span>
+                        <span class="n">tf</span><span class="o">.</span><span class="n">summary</span><span class="o">.</span><span class="n">scalar</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">value</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">total_batches</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="TensorboardMixIn.profile_to_tensorboard">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.TensorboardMixIn.html#sup3r.models.abstract.TensorboardMixIn.profile_to_tensorboard">[docs]</a>
+    <span class="k">def</span> <span class="nf">profile_to_tensorboard</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">name</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Write profile data to tensorboard log file.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        name : str</span>
+<span class="sd">            Tag name to use for profile info</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_tb_writer</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">_write_tb_profile</span><span class="p">:</span>
+            <span class="k">with</span> <span class="bp">self</span><span class="o">.</span><span class="n">_tb_writer</span><span class="o">.</span><span class="n">as_default</span><span class="p">():</span>
+                <span class="n">tf</span><span class="o">.</span><span class="n">summary</span><span class="o">.</span><span class="n">trace_export</span><span class="p">(</span>
+                    <span class="n">name</span><span class="o">=</span><span class="n">name</span><span class="p">,</span>
+                    <span class="n">step</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">total_batches</span><span class="p">,</span>
+                    <span class="n">profiler_outdir</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_tb_log_dir</span><span class="p">,</span>
+                <span class="p">)</span></div>
+
+
+    <span class="k">def</span> <span class="nf">_init_tensorboard_writer</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">out_dir</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize the ``tf.summary.SummaryWriter`` to use for writing</span>
+<span class="sd">        tensorboard compatible log files.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        out_dir : str</span>
+<span class="sd">            Standard out_dir where model epochs are saved. e.g. &#39;./gan_{epoch}&#39;</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">tb_log_pardir</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">abspath</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">out_dir</span><span class="p">,</span> <span class="n">os</span><span class="o">.</span><span class="n">pardir</span><span class="p">))</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_tb_log_dir</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">tb_log_pardir</span><span class="p">,</span> <span class="s1">&#39;logs&#39;</span><span class="p">)</span>
+        <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_tb_log_dir</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_tb_writer</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">summary</span><span class="o">.</span><span class="n">create_file_writer</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_tb_log_dir</span><span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="AbstractInterface">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface">[docs]</a>
+<span class="k">class</span> <span class="nc">AbstractInterface</span><span class="p">(</span><span class="n">ABC</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">    Abstract class to define the required interface for Sup3r model subclasses</span>
+
+<span class="sd">    Note that this only sets the required interfaces for a GAN that can be</span>
+<span class="sd">    loaded from disk and used to predict synthetic outputs. The interface for</span>
+<span class="sd">    models that can be trained will be set in another class.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="AbstractInterface.load">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.load">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="nd">@abstractmethod</span>
+    <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">model_dir</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Load the GAN with its sub-networks from a previously saved-to output</span>
+<span class="sd">        directory.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        model_dir</span>
+<span class="sd">            Directory to load GAN model files from.</span>
+<span class="sd">        verbose : bool</span>
+<span class="sd">            Flag to log information about the loaded model.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out : BaseModel</span>
+<span class="sd">            Returns a pretrained gan model that was previously saved to</span>
+<span class="sd">            model_dir</span>
+<span class="sd">        &quot;&quot;&quot;</span></div>
+
+
+<div class="viewcode-block" id="AbstractInterface.generate">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.generate">[docs]</a>
+    <span class="nd">@abstractmethod</span>
+    <span class="k">def</span> <span class="nf">generate</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span> <span class="n">low_res</span><span class="p">,</span> <span class="n">norm_in</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">un_norm_out</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">exogenous_data</span><span class="o">=</span><span class="kc">None</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Use the generator model to generate high res data from low res</span>
+<span class="sd">        input. This is the public generate function.&quot;&quot;&quot;</span></div>
+
+
+<div class="viewcode-block" id="AbstractInterface.seed">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.seed">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">seed</span><span class="p">(</span><span class="n">s</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Set the random seed for reproducible results.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        s : int</span>
+<span class="sd">            Random seed</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">CustomNetwork</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="n">s</span><span class="o">=</span><span class="n">s</span><span class="p">)</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">input_dims</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get dimension of model generator input. This is usually 4D for</span>
+<span class="sd">        spatial models and 5D for spatiotemporal models. This gives the input</span>
+<span class="sd">        to the first step if the model is multi-step. Returns 5 for linear</span>
+<span class="sd">        models.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        int</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="c1"># pylint: disable=E1101</span>
+        <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="s1">&#39;_gen&#39;</span><span class="p">):</span>
+            <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_gen</span><span class="o">.</span><span class="n">layers</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">rank</span>
+        <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="s1">&#39;models&#39;</span><span class="p">):</span>
+            <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">models</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">input_dims</span>
+        <span class="k">return</span> <span class="mi">5</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">is_5d</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if model expects spatiotemporal input&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_dims</span> <span class="o">==</span> <span class="mi">5</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">is_4d</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if model expects spatial only input&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_dims</span> <span class="o">==</span> <span class="mi">4</span>
+
+    <span class="c1"># pylint: disable=E1101</span>
+<div class="viewcode-block" id="AbstractInterface.get_s_enhance_from_layers">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.get_s_enhance_from_layers">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_s_enhance_from_layers</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Compute factor by which model will enhance spatial resolution from</span>
+<span class="sd">        layer attributes. Used in model training during high res coarsening&quot;&quot;&quot;</span>
+        <span class="n">s_enhance</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="s1">&#39;_gen&#39;</span><span class="p">):</span>
+            <span class="n">s_enhancements</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="nb">getattr</span><span class="p">(</span><span class="n">layer</span><span class="p">,</span> <span class="s1">&#39;_spatial_mult&#39;</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">layer</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_gen</span><span class="o">.</span><span class="n">layers</span>
+            <span class="p">]</span>
+            <span class="n">s_enhance</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="n">s_enhancements</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">s_enhance</span></div>
+
+
+    <span class="c1"># pylint: disable=E1101</span>
+<div class="viewcode-block" id="AbstractInterface.get_t_enhance_from_layers">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.get_t_enhance_from_layers">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_t_enhance_from_layers</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Compute factor by which model will enhance temporal resolution from</span>
+<span class="sd">        layer attributes. Used in model training during high res coarsening&quot;&quot;&quot;</span>
+        <span class="n">t_enhance</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="s1">&#39;_gen&#39;</span><span class="p">):</span>
+            <span class="n">t_enhancements</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="nb">getattr</span><span class="p">(</span><span class="n">layer</span><span class="p">,</span> <span class="s1">&#39;_temporal_mult&#39;</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">layer</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_gen</span><span class="o">.</span><span class="n">layers</span>
+            <span class="p">]</span>
+            <span class="n">t_enhance</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="n">t_enhancements</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">t_enhance</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">s_enhance</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Factor by which model will enhance spatial resolution. Used in</span>
+<span class="sd">        model training during high res coarsening and also in forward pass</span>
+<span class="sd">        routine to determine shape of needed exogenous data&quot;&quot;&quot;</span>
+        <span class="n">models</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="s1">&#39;models&#39;</span><span class="p">,</span> <span class="p">[</span><span class="bp">self</span><span class="p">])</span>
+        <span class="n">s_enhances</span> <span class="o">=</span> <span class="p">[</span><span class="n">m</span><span class="o">.</span><span class="n">meta</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;s_enhance&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span> <span class="k">for</span> <span class="n">m</span> <span class="ow">in</span> <span class="n">models</span><span class="p">]</span>
+        <span class="n">s_enhance</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">get_s_enhance_from_layers</span><span class="p">()</span>
+            <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">s</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">s_enhances</span><span class="p">)</span>
+            <span class="k">else</span> <span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="n">s_enhances</span><span class="p">))</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">models</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="p">[</span><span class="s1">&#39;s_enhance&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">s_enhance</span>
+        <span class="k">return</span> <span class="n">s_enhance</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">t_enhance</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Factor by which model will enhance temporal resolution. Used in</span>
+<span class="sd">        model training during high res coarsening and also in forward pass</span>
+<span class="sd">        routine to determine shape of needed exogenous data&quot;&quot;&quot;</span>
+        <span class="n">models</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="s1">&#39;models&#39;</span><span class="p">,</span> <span class="p">[</span><span class="bp">self</span><span class="p">])</span>
+        <span class="n">t_enhances</span> <span class="o">=</span> <span class="p">[</span><span class="n">m</span><span class="o">.</span><span class="n">meta</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;t_enhance&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span> <span class="k">for</span> <span class="n">m</span> <span class="ow">in</span> <span class="n">models</span><span class="p">]</span>
+        <span class="n">t_enhance</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">get_t_enhance_from_layers</span><span class="p">()</span>
+            <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">t</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="n">t_enhances</span><span class="p">)</span>
+            <span class="k">else</span> <span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="n">t_enhances</span><span class="p">))</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">models</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="p">[</span><span class="s1">&#39;t_enhance&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">t_enhance</span>
+        <span class="k">return</span> <span class="n">t_enhance</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">s_enhancements</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;List of spatial enhancement factors. In the case of a single step</span>
+<span class="sd">        model this is just ``[self.s_enhance]``. This is used to determine</span>
+<span class="sd">        shapes of needed exogenous data in forward pass routine&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="s1">&#39;models&#39;</span><span class="p">):</span>
+            <span class="k">return</span> <span class="p">[</span><span class="n">model</span><span class="o">.</span><span class="n">s_enhance</span> <span class="k">for</span> <span class="n">model</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">models</span><span class="p">]</span>
+        <span class="k">return</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">]</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">t_enhancements</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;List of temporal enhancement factors. In the case of a single step</span>
+<span class="sd">        model this is just ``[self.t_enhance]``. This is used to determine</span>
+<span class="sd">        shapes of needed exogenous data in forward pass routine&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="s1">&#39;models&#39;</span><span class="p">):</span>
+            <span class="k">return</span> <span class="p">[</span><span class="n">model</span><span class="o">.</span><span class="n">t_enhance</span> <span class="k">for</span> <span class="n">model</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">models</span><span class="p">]</span>
+        <span class="k">return</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span><span class="p">]</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">input_resolution</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Resolution of input data. Given as a dictionary</span>
+<span class="sd">        ``{&#39;spatial&#39;: &#39;...km&#39;, &#39;temporal&#39;: &#39;...min&#39;}``. The numbers are</span>
+<span class="sd">        required to be integers in the units specified. The units are not</span>
+<span class="sd">        strict as long as the resolution of the exogenous data, when extracting</span>
+<span class="sd">        exogenous data, is specified in the same units.&quot;&quot;&quot;</span>
+        <span class="n">input_resolution</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;input_resolution&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;model.input_resolution is None. This needs to be set.&#39;</span>
+        <span class="k">assert</span> <span class="n">input_resolution</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">,</span> <span class="n">msg</span>
+        <span class="k">return</span> <span class="n">input_resolution</span>
+
+    <span class="k">def</span> <span class="nf">_get_numerical_resolutions</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the input and output resolutions without units. e.g. for</span>
+<span class="sd">        ``{&quot;spatial&quot;: &quot;30km&quot;, &quot;temporal&quot;: &quot;60min&quot;}`` this returns</span>
+<span class="sd">        ``{&quot;spatial&quot;: 30, &quot;temporal&quot;: 60}``&quot;&quot;&quot;</span>
+        <span class="n">ires_num</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="n">k</span><span class="p">:</span> <span class="nb">int</span><span class="p">(</span><span class="n">re</span><span class="o">.</span><span class="n">search</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;\d+&#39;</span><span class="p">,</span> <span class="n">v</span><span class="p">)</span><span class="o">.</span><span class="n">group</span><span class="p">(</span><span class="mi">0</span><span class="p">))</span>
+            <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_resolution</span><span class="o">.</span><span class="n">items</span><span class="p">()</span>
+        <span class="p">}</span>
+        <span class="n">enhancements</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;spatial&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">,</span> <span class="s1">&#39;temporal&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span><span class="p">}</span>
+        <span class="n">ores_num</span> <span class="o">=</span> <span class="p">{</span><span class="n">k</span><span class="p">:</span> <span class="n">v</span> <span class="o">//</span> <span class="n">enhancements</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">ires_num</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
+        <span class="k">return</span> <span class="n">ires_num</span><span class="p">,</span> <span class="n">ores_num</span>
+
+    <span class="k">def</span> <span class="nf">_ensure_valid_input_resolution</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Ensure ehancement factors evenly divide input_resolution&quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_resolution</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">return</span>
+
+        <span class="n">ires_num</span><span class="p">,</span> <span class="n">ores_num</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_numerical_resolutions</span><span class="p">()</span>
+        <span class="n">s_enhance</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="p">[</span><span class="s1">&#39;s_enhance&#39;</span><span class="p">]</span>
+        <span class="n">t_enhance</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="p">[</span><span class="s1">&#39;t_enhance&#39;</span><span class="p">]</span>
+        <span class="n">check</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">ires_num</span><span class="p">[</span><span class="s1">&#39;temporal&#39;</span><span class="p">]</span> <span class="o">/</span> <span class="n">ores_num</span><span class="p">[</span><span class="s1">&#39;temporal&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="n">t_enhance</span>
+            <span class="ow">and</span> <span class="n">ires_num</span><span class="p">[</span><span class="s1">&#39;spatial&#39;</span><span class="p">]</span> <span class="o">/</span> <span class="n">ores_num</span><span class="p">[</span><span class="s1">&#39;spatial&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="n">s_enhance</span>
+        <span class="p">)</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Enhancement factors (s_enhance=</span><span class="si">{</span><span class="n">s_enhance</span><span class="si">}</span><span class="s1">, &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;t_enhance=</span><span class="si">{</span><span class="n">t_enhance</span><span class="si">}</span><span class="s1">) do not evenly divide &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;input resolution (</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">input_resolution</span><span class="si">}</span><span class="s1">)&#39;</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">check</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="nf">_ensure_valid_enhancement_factors</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Ensure user provided enhancement factors are the same as those</span>
+<span class="sd">        computed from layer attributes&quot;&quot;&quot;</span>
+        <span class="n">t_enhance</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;t_enhance&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="n">s_enhance</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;s_enhance&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">s_enhance</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">or</span> <span class="n">t_enhance</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">return</span>
+
+        <span class="n">layer_se</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_s_enhance_from_layers</span><span class="p">()</span>
+        <span class="n">layer_te</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_t_enhance_from_layers</span><span class="p">()</span>
+        <span class="n">layer_se</span> <span class="o">=</span> <span class="n">layer_se</span> <span class="k">if</span> <span class="n">layer_se</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="p">[</span><span class="s1">&#39;s_enhance&#39;</span><span class="p">]</span>
+        <span class="n">layer_te</span> <span class="o">=</span> <span class="n">layer_te</span> <span class="k">if</span> <span class="n">layer_te</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="p">[</span><span class="s1">&#39;t_enhance&#39;</span><span class="p">]</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Enhancement factors computed from layer attributes &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;(s_enhance=</span><span class="si">{</span><span class="n">layer_se</span><span class="si">}</span><span class="s1">, t_enhance=</span><span class="si">{</span><span class="n">layer_te</span><span class="si">}</span><span class="s1">) &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;conflict with user provided values (s_enhance=</span><span class="si">{</span><span class="n">s_enhance</span><span class="si">}</span><span class="s1">, &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;t_enhance=</span><span class="si">{</span><span class="n">t_enhance</span><span class="si">}</span><span class="s1">)&#39;</span>
+        <span class="p">)</span>
+        <span class="n">check</span> <span class="o">=</span> <span class="n">layer_se</span> <span class="o">==</span> <span class="n">s_enhance</span> <span class="ow">or</span> <span class="n">layer_te</span> <span class="o">==</span> <span class="n">t_enhance</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">check</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">output_resolution</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Resolution of output data. Given as a dictionary</span>
+<span class="sd">        {&#39;spatial&#39;: &#39;...km&#39;, &#39;temporal&#39;: &#39;...min&#39;}. This is computed from the</span>
+<span class="sd">        input resolution and the enhancement factors.&quot;&quot;&quot;</span>
+        <span class="n">output_res</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;output_resolution&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_resolution</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">output_res</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">ires_num</span><span class="p">,</span> <span class="n">ores_num</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_numerical_resolutions</span><span class="p">()</span>
+            <span class="n">output_res</span> <span class="o">=</span> <span class="p">{</span>
+                <span class="n">k</span><span class="p">:</span> <span class="n">v</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">ires_num</span><span class="p">[</span><span class="n">k</span><span class="p">]),</span> <span class="nb">str</span><span class="p">(</span><span class="n">ores_num</span><span class="p">[</span><span class="n">k</span><span class="p">]))</span>
+                <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_resolution</span><span class="o">.</span><span class="n">items</span><span class="p">()</span>
+            <span class="p">}</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="p">[</span><span class="s1">&#39;output_resolution&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">output_res</span>
+        <span class="k">return</span> <span class="n">output_res</span>
+
+    <span class="k">def</span> <span class="nf">_combine_fwp_input</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">low_res</span><span class="p">,</span> <span class="n">exogenous_data</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Combine exogenous_data at input resolution with low_res data prior</span>
+<span class="sd">        to forward pass through generator</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        low_res : np.ndarray</span>
+<span class="sd">            Low-resolution input data, usually a 4D or 5D array of shape:</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_features)</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_temporal, n_features)</span>
+<span class="sd">        exogenous_data : dict | ExoData | None</span>
+<span class="sd">            Special dictionary (class:`ExoData`) of exogenous feature data with</span>
+<span class="sd">            entries describing whether features should be combined at input, a</span>
+<span class="sd">            mid network layer, or with output. This doesn&#39;t have to include</span>
+<span class="sd">            the &#39;model&#39; key since this data is for a single step model.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        low_res : np.ndarray</span>
+<span class="sd">            Low-resolution input data combined with exogenous_data, usually a</span>
+<span class="sd">            4D or 5D array of shape:</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_features)</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_temporal, n_features)</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">exogenous_data</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">low_res</span>
+
+        <span class="k">if</span> <span class="p">(</span>
+            <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">exogenous_data</span><span class="p">,</span> <span class="n">ExoData</span><span class="p">)</span>
+            <span class="ow">and</span> <span class="n">exogenous_data</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+        <span class="p">):</span>
+            <span class="n">exogenous_data</span> <span class="o">=</span> <span class="n">ExoData</span><span class="p">(</span><span class="n">exogenous_data</span><span class="p">)</span>
+
+        <span class="n">fnum_diff</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">lr_features</span><span class="p">)</span> <span class="o">-</span> <span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+        <span class="n">exo_feats</span> <span class="o">=</span> <span class="p">[]</span> <span class="k">if</span> <span class="n">fnum_diff</span> <span class="o">&lt;=</span> <span class="mi">0</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_features</span><span class="p">[</span><span class="o">-</span><span class="n">fnum_diff</span><span class="p">:]</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Provided exogenous_data: </span><span class="si">{</span><span class="n">exogenous_data</span><span class="si">}</span><span class="s1"> is missing some &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;required features (</span><span class="si">{</span><span class="n">exo_feats</span><span class="si">}</span><span class="s1">)&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="nb">all</span><span class="p">(</span><span class="n">feature</span> <span class="ow">in</span> <span class="n">exogenous_data</span> <span class="k">for</span> <span class="n">feature</span> <span class="ow">in</span> <span class="n">exo_feats</span><span class="p">),</span> <span class="n">msg</span>
+        <span class="k">if</span> <span class="n">exogenous_data</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">fnum_diff</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="k">for</span> <span class="n">feature</span> <span class="ow">in</span> <span class="n">exo_feats</span><span class="p">:</span>
+                <span class="n">exo_input</span> <span class="o">=</span> <span class="n">exogenous_data</span><span class="o">.</span><span class="n">get_combine_type_data</span><span class="p">(</span>
+                    <span class="n">feature</span><span class="p">,</span> <span class="s1">&#39;input&#39;</span>
+                <span class="p">)</span>
+                <span class="k">if</span> <span class="n">exo_input</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+                    <span class="n">low_res</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">((</span><span class="n">low_res</span><span class="p">,</span> <span class="n">exo_input</span><span class="p">),</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">low_res</span>
+
+    <span class="k">def</span> <span class="nf">_combine_fwp_output</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hi_res</span><span class="p">,</span> <span class="n">exogenous_data</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Combine exogenous_data at output resolution with generated hi_res</span>
+<span class="sd">        data following forward pass output.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        hi_res : np.ndarray</span>
+<span class="sd">            High-resolution output data, usually a 4D or 5D array of shape:</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_features)</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_temporal, n_features)</span>
+<span class="sd">        exogenous_data : dict | ExoData | None</span>
+<span class="sd">            Special dictionary (class:`ExoData`) of exogenous feature data with</span>
+<span class="sd">            entries describing whether features should be combined at input, a</span>
+<span class="sd">            mid network layer, or with output. This doesn&#39;t have to include</span>
+<span class="sd">            the &#39;model&#39; key since this data is for a single step model.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        hi_res : np.ndarray</span>
+<span class="sd">            High-resolution output data combined with exogenous_data, usually a</span>
+<span class="sd">            4D or 5D array of shape:</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_features)</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_temporal, n_features)</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">exogenous_data</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">hi_res</span>
+
+        <span class="k">if</span> <span class="p">(</span>
+            <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">exogenous_data</span><span class="p">,</span> <span class="n">ExoData</span><span class="p">)</span>
+            <span class="ow">and</span> <span class="n">exogenous_data</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+        <span class="p">):</span>
+            <span class="n">exogenous_data</span> <span class="o">=</span> <span class="n">ExoData</span><span class="p">(</span><span class="n">exogenous_data</span><span class="p">)</span>
+
+        <span class="n">fnum_diff</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_out_features</span><span class="p">)</span> <span class="o">-</span> <span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+        <span class="n">exo_feats</span> <span class="o">=</span> <span class="p">[]</span> <span class="k">if</span> <span class="n">fnum_diff</span> <span class="o">&lt;=</span> <span class="mi">0</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_out_features</span><span class="p">[</span><span class="o">-</span><span class="n">fnum_diff</span><span class="p">:]</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Provided exogenous_data is missing some required features &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;(</span><span class="si">{</span><span class="n">exo_feats</span><span class="si">}</span><span class="s1">)&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="nb">all</span><span class="p">(</span><span class="n">feature</span> <span class="ow">in</span> <span class="n">exogenous_data</span> <span class="k">for</span> <span class="n">feature</span> <span class="ow">in</span> <span class="n">exo_feats</span><span class="p">),</span> <span class="n">msg</span>
+        <span class="k">if</span> <span class="n">exogenous_data</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">fnum_diff</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="k">for</span> <span class="n">feature</span> <span class="ow">in</span> <span class="n">exo_feats</span><span class="p">:</span>
+                <span class="n">exo_output</span> <span class="o">=</span> <span class="n">exogenous_data</span><span class="o">.</span><span class="n">get_combine_type_data</span><span class="p">(</span>
+                    <span class="n">feature</span><span class="p">,</span> <span class="s1">&#39;output&#39;</span>
+                <span class="p">)</span>
+                <span class="k">if</span> <span class="n">exo_output</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+                    <span class="n">hi_res</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">((</span><span class="n">hi_res</span><span class="p">,</span> <span class="n">exo_output</span><span class="p">),</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">hi_res</span>
+
+    <span class="nd">@tf</span><span class="o">.</span><span class="n">function</span>
+    <span class="k">def</span> <span class="nf">_combine_loss_input</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">high_res_true</span><span class="p">,</span> <span class="n">high_res_gen</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Combine exogenous feature data from high_res_true with high_res_gen</span>
+<span class="sd">        for loss calculation</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        high_res_true : tf.Tensor</span>
+<span class="sd">            Ground truth high resolution spatiotemporal data.</span>
+<span class="sd">        high_res_gen : tf.Tensor</span>
+<span class="sd">            Superresolved high resolution spatiotemporal data generated by the</span>
+<span class="sd">            generative model.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        high_res_gen : tf.Tensor</span>
+<span class="sd">            Same as input with exogenous data combined with high_res input</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">high_res_true</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">&gt;</span> <span class="n">high_res_gen</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]:</span>
+            <span class="k">for</span> <span class="n">feature</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_exo_features</span><span class="p">:</span>
+                <span class="n">f_idx</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_exo_features</span><span class="o">.</span><span class="n">index</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span>
+                <span class="n">f_idx</span> <span class="o">+=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_out_features</span><span class="p">)</span>
+                <span class="n">exo_data</span> <span class="o">=</span> <span class="n">high_res_true</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">f_idx</span> <span class="p">:</span> <span class="n">f_idx</span> <span class="o">+</span> <span class="mi">1</span><span class="p">]</span>
+                <span class="n">high_res_gen</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">concat</span><span class="p">((</span><span class="n">high_res_gen</span><span class="p">,</span> <span class="n">exo_data</span><span class="p">),</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">high_res_gen</span>
+
+    <span class="nd">@property</span>
+    <span class="nd">@abstractmethod</span>
+    <span class="k">def</span> <span class="nf">meta</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get meta data dictionary that defines how the model was created&quot;&quot;&quot;</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">lr_features</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a list of low-resolution features input to the generative model.</span>
+<span class="sd">        This includes low-resolution features that might be supplied</span>
+<span class="sd">        exogenously at inference time but that were in the low-res batches</span>
+<span class="sd">        during training&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;lr_features&#39;</span><span class="p">,</span> <span class="p">[])</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">hr_out_features</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the list of high-resolution output feature names that the</span>
+<span class="sd">        generative model outputs.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;hr_out_features&#39;</span><span class="p">,</span> <span class="p">[])</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">hr_exo_features</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get list of high-resolution exogenous filter names the model uses.</span>
+<span class="sd">        If the model has N concat or add layers this list will be the last N</span>
+<span class="sd">        features in the training features list. The ordering is assumed to be</span>
+<span class="sd">        the same as the order of concat or add layers. If training features is</span>
+<span class="sd">        [..., topo, sza], and the model has 2 concat or add layers, exo</span>
+<span class="sd">        features will be [topo, sza]. Topo will then be used in the first</span>
+<span class="sd">        concat layer and sza will be used in the second&quot;&quot;&quot;</span>
+        <span class="c1"># pylint: disable=E1101</span>
+        <span class="n">features</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="s1">&#39;_gen&#39;</span><span class="p">):</span>
+            <span class="n">features</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="n">layer</span><span class="o">.</span><span class="n">name</span>
+                <span class="k">for</span> <span class="n">layer</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_gen</span><span class="o">.</span><span class="n">layers</span>
+                <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">layer</span><span class="p">,</span> <span class="p">(</span><span class="n">Sup3rAdder</span><span class="p">,</span> <span class="n">Sup3rConcat</span><span class="p">))</span>
+            <span class="p">]</span>
+        <span class="k">return</span> <span class="n">features</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">smoothing</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Value of smoothing parameter used in gaussian filtering of coarsened</span>
+<span class="sd">        high res data.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;smoothing&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">smoothed_features</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the list of smoothed input feature names that the generative</span>
+<span class="sd">        model was trained on.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;smoothed_features&#39;</span><span class="p">,</span> <span class="p">[])</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">model_params</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Model parameters, used to save model to disc</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        dict</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">{</span><span class="s1">&#39;meta&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="p">}</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">version_record</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;A record of important versions that this model was built with.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        dict</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="n">VERSION_RECORD</span>
+
+<div class="viewcode-block" id="AbstractInterface.set_model_params">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.set_model_params">[docs]</a>
+    <span class="k">def</span> <span class="nf">set_model_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Set parameters used for training the model</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        kwargs : dict</span>
+<span class="sd">            Keyword arguments including &#39;input_resolution&#39;,</span>
+<span class="sd">            &#39;lr_features&#39;, &#39;hr_exo_features&#39;, &#39;hr_out_features&#39;,</span>
+<span class="sd">            &#39;smoothed_features&#39;, &#39;s_enhance&#39;, &#39;t_enhance&#39;, &#39;smoothing&#39;</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">keys</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;input_resolution&#39;</span><span class="p">,</span>
+            <span class="s1">&#39;lr_features&#39;</span><span class="p">,</span>
+            <span class="s1">&#39;hr_exo_features&#39;</span><span class="p">,</span>
+            <span class="s1">&#39;hr_out_features&#39;</span><span class="p">,</span>
+            <span class="s1">&#39;smoothed_features&#39;</span><span class="p">,</span>
+            <span class="s1">&#39;s_enhance&#39;</span><span class="p">,</span>
+            <span class="s1">&#39;t_enhance&#39;</span><span class="p">,</span>
+            <span class="s1">&#39;smoothing&#39;</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="n">keys</span> <span class="o">=</span> <span class="p">[</span><span class="n">k</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">keys</span> <span class="k">if</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">kwargs</span><span class="p">]</span>
+
+        <span class="n">hr_exo_feat</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;hr_exo_features&#39;</span><span class="p">,</span> <span class="p">[])</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Expected high-res exo features </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_exo_features</span><span class="si">}</span><span class="s1"> &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;based on model architecture but received &quot;hr_exo_features&quot; &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;from data handler: </span><span class="si">{</span><span class="n">hr_exo_feat</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="nb">list</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_exo_features</span><span class="p">)</span> <span class="o">==</span> <span class="nb">list</span><span class="p">(</span><span class="n">hr_exo_feat</span><span class="p">),</span> <span class="n">msg</span>
+
+        <span class="k">for</span> <span class="n">var</span> <span class="ow">in</span> <span class="n">keys</span><span class="p">:</span>
+            <span class="n">val</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">var</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+            <span class="k">if</span> <span class="n">val</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="p">[</span><span class="n">var</span><span class="p">]</span> <span class="o">=</span> <span class="n">kwargs</span><span class="p">[</span><span class="n">var</span><span class="p">]</span>
+            <span class="k">elif</span> <span class="n">val</span> <span class="o">!=</span> <span class="n">kwargs</span><span class="p">[</span><span class="n">var</span><span class="p">]:</span>
+                <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="s1">&#39;Model was previously trained with </span><span class="si">{var}</span><span class="s1">=</span><span class="si">{}</span><span class="s1"> but &#39;</span>
+                    <span class="s1">&#39;received new </span><span class="si">{var}</span><span class="s1">=</span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">val</span><span class="p">,</span> <span class="n">kwargs</span><span class="p">[</span><span class="n">var</span><span class="p">],</span> <span class="n">var</span><span class="o">=</span><span class="n">var</span><span class="p">)</span>
+                <span class="p">)</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">_ensure_valid_enhancement_factors</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_ensure_valid_input_resolution</span><span class="p">()</span></div>
+
+
+<div class="viewcode-block" id="AbstractInterface.save_params">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.save_params">[docs]</a>
+    <span class="k">def</span> <span class="nf">save_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">out_dir</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        out_dir : str</span>
+<span class="sd">            Directory to save linear model params. This directory will be</span>
+<span class="sd">            created if it does not already exist.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">out_dir</span><span class="p">):</span>
+            <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">out_dir</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+        <span class="n">fp_params</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">out_dir</span><span class="p">,</span> <span class="s1">&#39;model_params.json&#39;</span><span class="p">)</span>
+        <span class="k">with</span> <span class="nb">open</span><span class="p">(</span>
+            <span class="n">fp_params</span><span class="p">,</span> <span class="s1">&#39;w&#39;</span><span class="p">,</span> <span class="n">encoding</span><span class="o">=</span><span class="n">locale</span><span class="o">.</span><span class="n">getpreferredencoding</span><span class="p">(</span><span class="kc">False</span><span class="p">)</span>
+        <span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+            <span class="n">params</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model_params</span>
+            <span class="n">json</span><span class="o">.</span><span class="n">dump</span><span class="p">(</span><span class="n">params</span><span class="p">,</span> <span class="n">f</span><span class="p">,</span> <span class="n">sort_keys</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">default</span><span class="o">=</span><span class="n">safe_cast</span><span class="p">)</span></div>
+</div>
+
+
+
+<span class="c1"># pylint: disable=E1101,W0201,E0203</span>
+<div class="viewcode-block" id="AbstractSingleModel">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel">[docs]</a>
+<span class="k">class</span> <span class="nc">AbstractSingleModel</span><span class="p">(</span><span class="n">ABC</span><span class="p">,</span> <span class="n">TensorboardMixIn</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">    Abstract class to define the required training interface</span>
+<span class="sd">    for Sup3r model subclasses</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">gpu_list</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">list_physical_devices</span><span class="p">(</span><span class="s1">&#39;GPU&#39;</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">default_device</span> <span class="o">=</span> <span class="s1">&#39;/cpu:0&#39;</span> <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">gpu_list</span><span class="p">)</span> <span class="o">==</span> <span class="mi">0</span> <span class="k">else</span> <span class="s1">&#39;/gpu:0&#39;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_version_record</span> <span class="o">=</span> <span class="n">VERSION_RECORD</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_meta</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">loss_name</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">loss_fun</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_history</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_optimizer</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_gen</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_means</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_stdevs</span> <span class="o">=</span> <span class="kc">None</span>
+
+<div class="viewcode-block" id="AbstractSingleModel.load_network">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.load_network">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_network</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">name</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Load a CustomNetwork object from hidden layers config, .json file</span>
+<span class="sd">        config, or .pkl file saved pre-trained model.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        model : str | dict</span>
+<span class="sd">            Model hidden layers config, a .json with &quot;hidden_layers&quot; key, or a</span>
+<span class="sd">            .pkl for a saved pre-trained model.</span>
+<span class="sd">        name : str</span>
+<span class="sd">            Name of the model to be loaded</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        model : phygnn.CustomNetwork</span>
+<span class="sd">            CustomNetwork object initialized from the model input.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="nb">str</span><span class="p">)</span> <span class="ow">and</span> <span class="n">model</span><span class="o">.</span><span class="n">endswith</span><span class="p">(</span><span class="s1">&#39;.json&#39;</span><span class="p">):</span>
+            <span class="n">model</span> <span class="o">=</span> <span class="n">safe_json_load</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_meta</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;config_</span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">model</span>
+            <span class="k">if</span> <span class="s1">&#39;hidden_layers&#39;</span> <span class="ow">in</span> <span class="n">model</span><span class="p">:</span>
+                <span class="n">model</span> <span class="o">=</span> <span class="n">model</span><span class="p">[</span><span class="s1">&#39;hidden_layers&#39;</span><span class="p">]</span>
+            <span class="k">elif</span> <span class="p">(</span>
+                <span class="s1">&#39;meta&#39;</span> <span class="ow">in</span> <span class="n">model</span>
+                <span class="ow">and</span> <span class="sa">f</span><span class="s1">&#39;config_</span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s1">&#39;</span> <span class="ow">in</span> <span class="n">model</span><span class="p">[</span><span class="s1">&#39;meta&#39;</span><span class="p">]</span>
+                <span class="ow">and</span> <span class="s1">&#39;hidden_layers&#39;</span> <span class="ow">in</span> <span class="n">model</span><span class="p">[</span><span class="s1">&#39;meta&#39;</span><span class="p">][</span><span class="sa">f</span><span class="s1">&#39;config_</span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">]</span>
+            <span class="p">):</span>
+                <span class="n">model</span> <span class="o">=</span> <span class="n">model</span><span class="p">[</span><span class="s1">&#39;meta&#39;</span><span class="p">][</span><span class="sa">f</span><span class="s1">&#39;config_</span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">][</span><span class="s1">&#39;hidden_layers&#39;</span><span class="p">]</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="s1">&#39;Could not load model from json config, need &#39;</span>
+                    <span class="s1">&#39;&quot;hidden_layers&quot; key or &#39;</span>
+                    <span class="sa">f</span><span class="s1">&#39;&quot;meta/config_</span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s1">/hidden_layers&quot; &#39;</span>
+                    <span class="s1">&#39; at top level but only found: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">keys</span><span class="p">())</span>
+                <span class="p">)</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="k">raise</span> <span class="ne">KeyError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="nb">str</span><span class="p">)</span> <span class="ow">and</span> <span class="n">model</span><span class="o">.</span><span class="n">endswith</span><span class="p">(</span><span class="s1">&#39;.pkl&#39;</span><span class="p">):</span>
+            <span class="k">with</span> <span class="n">tf</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">default_device</span><span class="p">):</span>
+                <span class="n">model</span> <span class="o">=</span> <span class="n">CustomNetwork</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
+            <span class="n">model</span> <span class="o">=</span> <span class="n">CustomNetwork</span><span class="p">(</span><span class="n">hidden_layers</span><span class="o">=</span><span class="n">model</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="n">name</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">CustomNetwork</span><span class="p">):</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Something went wrong. Tried to load a custom network &#39;</span>
+                <span class="s1">&#39;but ended up with a model of type &quot;</span><span class="si">{}</span><span class="s1">&quot;&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="n">model</span><span class="p">))</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">model</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">means</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the data normalization mean values.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        np.ndarray</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_means</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">stdevs</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the data normalization standard deviation values.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        np.ndarray</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_stdevs</span>
+
+<div class="viewcode-block" id="AbstractSingleModel.set_norm_stats">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.set_norm_stats">[docs]</a>
+    <span class="k">def</span> <span class="nf">set_norm_stats</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">new_means</span><span class="p">,</span> <span class="n">new_stdevs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Set the normalization statistics associated with a data batch</span>
+<span class="sd">        handler to model attributes.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        new_means : dict | None</span>
+<span class="sd">            Set of mean values for data normalization keyed by feature name.</span>
+<span class="sd">            Can be used to maintain a consistent normalization scheme between</span>
+<span class="sd">            transfer learning domains.</span>
+<span class="sd">        new_stdevs : dict | None</span>
+<span class="sd">            Set of stdev values for data normalization keyed by feature name.</span>
+<span class="sd">            Can be used to maintain a consistent normalization scheme between</span>
+<span class="sd">            transfer learning domains.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="n">new_means</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">new_stdevs</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Setting new normalization statistics...&#39;</span><span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="s2">&quot;Model&#39;s previous data mean values:</span><span class="se">\n</span><span class="si">%s</span><span class="s2">&quot;</span><span class="p">,</span>
+                <span class="n">pprint</span><span class="o">.</span><span class="n">pformat</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_means</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">2</span><span class="p">),</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="s2">&quot;Model&#39;s previous data stdev values:</span><span class="se">\n</span><span class="si">%s</span><span class="s2">&quot;</span><span class="p">,</span>
+                <span class="n">pprint</span><span class="o">.</span><span class="n">pformat</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_stdevs</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">2</span><span class="p">),</span>
+            <span class="p">)</span>
+
+            <span class="bp">self</span><span class="o">.</span><span class="n">_means</span> <span class="o">=</span> <span class="p">{</span><span class="n">k</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">(</span><span class="n">v</span><span class="p">)</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">new_means</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_stdevs</span> <span class="o">=</span> <span class="p">{</span><span class="n">k</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">(</span><span class="n">v</span><span class="p">)</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">new_stdevs</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
+
+            <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_means</span><span class="p">,</span> <span class="nb">dict</span><span class="p">)</span> <span class="ow">or</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_stdevs</span><span class="p">,</span> <span class="nb">dict</span>
+            <span class="p">):</span>
+                <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="s1">&#39;Means and stdevs need to be dictionaries with keys as &#39;</span>
+                    <span class="s1">&#39;feature names but received means of type &#39;</span>
+                    <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_means</span><span class="p">)</span><span class="si">}</span><span class="s1"> and &#39;</span>
+                    <span class="sa">f</span><span class="s1">&#39;stdevs of type </span><span class="si">{</span><span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_stdevs</span><span class="p">)</span><span class="si">}</span><span class="s1">&#39;</span>
+                <span class="p">)</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+            <span class="n">missing</span> <span class="o">=</span> <span class="p">[</span><span class="n">f</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_features</span> <span class="k">if</span> <span class="n">f</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_means</span><span class="p">]</span>
+            <span class="n">missing</span> <span class="o">+=</span> <span class="p">[</span>
+                <span class="n">f</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_exo_features</span> <span class="k">if</span> <span class="n">f</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_means</span>
+            <span class="p">]</span>
+            <span class="n">missing</span> <span class="o">+=</span> <span class="p">[</span>
+                <span class="n">f</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_out_features</span> <span class="k">if</span> <span class="n">f</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_means</span>
+            <span class="p">]</span>
+            <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">missing</span><span class="p">):</span>
+                <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="sa">f</span><span class="s1">&#39;Need means for features &quot;</span><span class="si">{</span><span class="n">missing</span><span class="si">}</span><span class="s1">&quot; but did not find &#39;</span>
+                    <span class="sa">f</span><span class="s1">&#39;in new means array: </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">_means</span><span class="si">}</span><span class="s1">&#39;</span>
+                <span class="p">)</span>
+
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="s1">&#39;Set data normalization mean values:</span><span class="se">\n</span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span>
+                <span class="n">pprint</span><span class="o">.</span><span class="n">pformat</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_means</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">2</span><span class="p">),</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="s1">&#39;Set data normalization stdev values:</span><span class="se">\n</span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span>
+                <span class="n">pprint</span><span class="o">.</span><span class="n">pformat</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_stdevs</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">2</span><span class="p">),</span>
+            <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="AbstractSingleModel.norm_input">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.norm_input">[docs]</a>
+    <span class="k">def</span> <span class="nf">norm_input</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">low_res</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Normalize low resolution data being input to the generator.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        low_res : np.ndarray</span>
+<span class="sd">            Un-normalized low-resolution input data in physical units, usually</span>
+<span class="sd">            a 4D or 5D array of shape:</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_features)</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_temporal, n_features)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        low_res : np.ndarray</span>
+<span class="sd">            Normalized low-resolution input data, usually a 4D or 5D array of</span>
+<span class="sd">            shape:</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_features)</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_temporal, n_features)</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_means</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">low_res</span><span class="p">,</span> <span class="n">tf</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span>
+                <span class="n">low_res</span> <span class="o">=</span> <span class="n">low_res</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span>
+
+            <span class="n">missing</span> <span class="o">=</span> <span class="p">[</span><span class="n">fn</span> <span class="k">for</span> <span class="n">fn</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_features</span> <span class="k">if</span> <span class="n">fn</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_means</span><span class="p">]</span>
+            <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">missing</span><span class="p">):</span>
+                <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="sa">f</span><span class="s1">&#39;Could not find low-res input features </span><span class="si">{</span><span class="n">missing</span><span class="si">}</span><span class="s1"> in &#39;</span>
+                    <span class="sa">f</span><span class="s1">&#39;means/stdevs: </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">_means</span><span class="si">}</span><span class="s1">/</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">_stdevs</span><span class="si">}</span><span class="s1">&#39;</span>
+                <span class="p">)</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="k">raise</span> <span class="ne">KeyError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+            <span class="n">means</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="bp">self</span><span class="o">.</span><span class="n">_means</span><span class="p">[</span><span class="n">fn</span><span class="p">]</span> <span class="k">for</span> <span class="n">fn</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_features</span><span class="p">])</span>
+            <span class="n">stdevs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="bp">self</span><span class="o">.</span><span class="n">_stdevs</span><span class="p">[</span><span class="n">fn</span><span class="p">]</span> <span class="k">for</span> <span class="n">fn</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_features</span><span class="p">])</span>
+            <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">stdevs</span> <span class="o">==</span> <span class="mi">0</span><span class="p">):</span>
+                <span class="n">stdevs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">stdevs</span> <span class="o">==</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">stdevs</span><span class="p">)</span>
+                <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;Some standard deviations are zero.&#39;</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">low_res</span> <span class="o">=</span> <span class="p">(</span><span class="n">low_res</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> <span class="o">-</span> <span class="n">means</span><span class="p">)</span> <span class="o">/</span> <span class="n">stdevs</span>
+
+        <span class="k">return</span> <span class="n">low_res</span></div>
+
+
+<div class="viewcode-block" id="AbstractSingleModel.un_norm_output">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.un_norm_output">[docs]</a>
+    <span class="k">def</span> <span class="nf">un_norm_output</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">output</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Un-normalize synthetically generated output data to physical units</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        output : tf.Tensor | np.ndarray</span>
+<span class="sd">            Synthetically generated high-resolution data</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        output : np.ndarray</span>
+<span class="sd">            Synthetically generated high-resolution data</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_means</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">output</span><span class="p">,</span> <span class="n">tf</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span>
+                <span class="n">output</span> <span class="o">=</span> <span class="n">output</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span>
+
+            <span class="n">missing</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="n">fn</span> <span class="k">for</span> <span class="n">fn</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_out_features</span> <span class="k">if</span> <span class="n">fn</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_means</span>
+            <span class="p">]</span>
+            <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">missing</span><span class="p">):</span>
+                <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="sa">f</span><span class="s1">&#39;Could not find high-res output features </span><span class="si">{</span><span class="n">missing</span><span class="si">}</span><span class="s1"> in &#39;</span>
+                    <span class="sa">f</span><span class="s1">&#39;means/stdevs: </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">_means</span><span class="si">}</span><span class="s1">/</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">_stdevs</span><span class="si">}</span><span class="s1">&#39;</span>
+                <span class="p">)</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="k">raise</span> <span class="ne">KeyError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+            <span class="n">means</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_means</span><span class="p">[</span><span class="n">fn</span><span class="p">]</span> <span class="k">for</span> <span class="n">fn</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_out_features</span><span class="p">]</span>
+            <span class="n">stdevs</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_stdevs</span><span class="p">[</span><span class="n">fn</span><span class="p">]</span> <span class="k">for</span> <span class="n">fn</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_out_features</span><span class="p">]</span>
+            <span class="n">means</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">means</span><span class="p">)</span>
+            <span class="n">stdevs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">stdevs</span><span class="p">)</span>
+
+            <span class="n">output</span> <span class="o">=</span> <span class="p">(</span><span class="n">output</span> <span class="o">*</span> <span class="n">stdevs</span><span class="p">)</span> <span class="o">+</span> <span class="n">means</span>
+
+        <span class="k">return</span> <span class="n">output</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">optimizer</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the tensorflow optimizer to perform gradient descent</span>
+<span class="sd">        calculations for the generative network. This is functionally identical</span>
+<span class="sd">        to optimizer_disc is no special optimizer model or learning rate was</span>
+<span class="sd">        specified for the disc.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tf.keras.optimizers.Optimizer</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_optimizer</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">history</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Model training history DataFrame (None if not yet trained)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        pandas.DataFrame | None</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_history</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">generator</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the generative model.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        phygnn.base.CustomNetwork</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_gen</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">generator_weights</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a list of layer weights and bias terms for the generator model.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        list</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">generator</span><span class="o">.</span><span class="n">weights</span>
+
+<div class="viewcode-block" id="AbstractSingleModel.init_optimizer">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.init_optimizer">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">init_optimizer</span><span class="p">(</span><span class="n">optimizer</span><span class="p">,</span> <span class="n">learning_rate</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize keras optimizer object.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        optimizer : tf.keras.optimizers.Optimizer | dict | None | str</span>
+<span class="sd">            Instantiated tf.keras.optimizers object or a dict optimizer config</span>
+<span class="sd">            from tf.keras.optimizers.get_config(). None defaults to Adam.</span>
+<span class="sd">        learning_rate : float, optional</span>
+<span class="sd">            Optimizer learning rate. Not used if optimizer input arg is a</span>
+<span class="sd">            pre-initialized object or if optimizer input arg is a config dict.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        optimizer : tf.keras.optimizers.Optimizer</span>
+<span class="sd">            Initialized optimizer object.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">optimizer</span><span class="p">,</span> <span class="nb">dict</span><span class="p">):</span>
+            <span class="n">class_name</span> <span class="o">=</span> <span class="n">optimizer</span><span class="p">[</span><span class="s1">&#39;name&#39;</span><span class="p">]</span>
+            <span class="n">optimizer_class</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">optimizers</span><span class="p">,</span> <span class="n">class_name</span><span class="p">)</span>
+            <span class="n">sig</span> <span class="o">=</span> <span class="n">signature</span><span class="p">(</span><span class="n">optimizer_class</span><span class="p">)</span>
+            <span class="n">optimizer_kwargs</span> <span class="o">=</span> <span class="p">{</span>
+                <span class="n">k</span><span class="p">:</span> <span class="n">v</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">optimizer</span><span class="o">.</span><span class="n">items</span><span class="p">()</span> <span class="k">if</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">sig</span><span class="o">.</span><span class="n">parameters</span>
+            <span class="p">}</span>
+            <span class="n">optimizer</span> <span class="o">=</span> <span class="n">optimizer_class</span><span class="o">.</span><span class="n">from_config</span><span class="p">(</span><span class="n">optimizer_kwargs</span><span class="p">)</span>
+        <span class="k">elif</span> <span class="n">optimizer</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">optimizer</span> <span class="o">=</span> <span class="n">optimizers</span><span class="o">.</span><span class="n">Adam</span><span class="p">(</span><span class="n">learning_rate</span><span class="o">=</span><span class="n">learning_rate</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">optimizer</span></div>
+
+
+<div class="viewcode-block" id="AbstractSingleModel.load_saved_params">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.load_saved_params">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">load_saved_params</span><span class="p">(</span><span class="n">out_dir</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Load saved model_params (you need this and the gen+disc models</span>
+<span class="sd">        to load a full model).</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        out_dir : str</span>
+<span class="sd">            Directory to load model files from.</span>
+<span class="sd">        verbose : bool</span>
+<span class="sd">            Flag to log information about the loaded model.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        params : dict</span>
+<span class="sd">            Model parameters loaded from disk json file. This should be the</span>
+<span class="sd">            same as self.model_params with and additional &#39;history&#39; entry.</span>
+<span class="sd">            Should be all the kwargs you need to init a model.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">fp_params</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">out_dir</span><span class="p">,</span> <span class="s1">&#39;model_params.json&#39;</span><span class="p">)</span>
+        <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">fp_params</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+            <span class="n">params</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
+
+        <span class="c1"># using the saved model dir makes this more portable</span>
+        <span class="n">fp_history</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">out_dir</span><span class="p">,</span> <span class="s1">&#39;history.csv&#39;</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">fp_history</span><span class="p">):</span>
+            <span class="n">params</span><span class="p">[</span><span class="s1">&#39;history&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">fp_history</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">params</span><span class="p">[</span><span class="s1">&#39;history&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+
+        <span class="k">if</span> <span class="s1">&#39;version_record&#39;</span> <span class="ow">in</span> <span class="n">params</span><span class="p">:</span>
+            <span class="n">version_record</span> <span class="o">=</span> <span class="n">params</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">&#39;version_record&#39;</span><span class="p">)</span>
+            <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="s1">&#39;Loading model from disk &#39;</span>
+                    <span class="s1">&#39;that was created with the &#39;</span>
+                    <span class="s1">&#39;following package versions: </span><span class="se">\n</span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                        <span class="n">pprint</span><span class="o">.</span><span class="n">pformat</span><span class="p">(</span><span class="n">version_record</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+                    <span class="p">)</span>
+                <span class="p">)</span>
+
+        <span class="n">means</span> <span class="o">=</span> <span class="n">params</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;means&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="n">stdevs</span> <span class="o">=</span> <span class="n">params</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;stdevs&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">means</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">stdevs</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">means</span> <span class="o">=</span> <span class="p">{</span><span class="n">k</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">(</span><span class="n">v</span><span class="p">)</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">means</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
+            <span class="n">stdevs</span> <span class="o">=</span> <span class="p">{</span><span class="n">k</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">(</span><span class="n">v</span><span class="p">)</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">stdevs</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
+            <span class="n">params</span><span class="p">[</span><span class="s1">&#39;means&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">means</span>
+            <span class="n">params</span><span class="p">[</span><span class="s1">&#39;stdevs&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">stdevs</span>
+
+        <span class="k">return</span> <span class="n">params</span></div>
+
+
+<div class="viewcode-block" id="AbstractSingleModel.get_high_res_exo_input">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.get_high_res_exo_input">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_high_res_exo_input</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">high_res</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get exogenous feature data from high_res</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        high_res : tf.Tensor</span>
+<span class="sd">            Ground truth high resolution spatiotemporal data.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        exo_data : dict</span>
+<span class="sd">            Dictionary of exogenous feature data used as input to tf_generate.</span>
+<span class="sd">            e.g. ``{&#39;topography&#39;: tf.Tensor(...)}``</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">exo_data</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="k">for</span> <span class="n">feature</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_exo_features</span><span class="p">:</span>
+            <span class="n">f_idx</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_exo_features</span><span class="o">.</span><span class="n">index</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span>
+            <span class="n">f_idx</span> <span class="o">+=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_out_features</span><span class="p">)</span>
+            <span class="n">exo_fdata</span> <span class="o">=</span> <span class="n">high_res</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">f_idx</span> <span class="p">:</span> <span class="n">f_idx</span> <span class="o">+</span> <span class="mi">1</span><span class="p">]</span>
+            <span class="n">exo_data</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span> <span class="o">=</span> <span class="n">exo_fdata</span>
+        <span class="k">return</span> <span class="n">exo_data</span></div>
+
+
+<div class="viewcode-block" id="AbstractSingleModel.get_loss_fun">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.get_loss_fun">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">get_loss_fun</span><span class="p">(</span><span class="n">loss</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the initialized loss function class from the sup3r loss library</span>
+<span class="sd">        or the tensorflow losses.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        loss : str | dict</span>
+<span class="sd">            Loss function class name from sup3r.utilities.loss_metrics</span>
+<span class="sd">            (prioritized) or tensorflow.keras.losses. Defaults to</span>
+<span class="sd">            tf.keras.losses.MeanSquaredError. This can be provided as a dict</span>
+<span class="sd">            with kwargs for loss functions with extra parameters.</span>
+<span class="sd">            e.g. {&#39;SpatialExtremesLoss&#39;: {&#39;weight&#39;: 0.5}}</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out : tf.keras.losses.Loss</span>
+<span class="sd">            Initialized loss function class that is callable, e.g. if</span>
+<span class="sd">            &quot;MeanSquaredError&quot; is requested, this will return</span>
+<span class="sd">            an instance of tf.keras.losses.MeanSquaredError()</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">kwargs</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">loss</span><span class="p">,</span> <span class="nb">dict</span><span class="p">):</span>
+            <span class="n">loss</span><span class="p">,</span> <span class="n">kwargs</span> <span class="o">=</span> <span class="nb">next</span><span class="p">(</span><span class="nb">iter</span><span class="p">(</span><span class="n">loss</span><span class="o">.</span><span class="n">items</span><span class="p">()))</span>
+
+        <span class="n">out</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">sup3r</span><span class="o">.</span><span class="n">utilities</span><span class="o">.</span><span class="n">loss_metrics</span><span class="p">,</span> <span class="n">loss</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">out</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">out</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">losses</span><span class="p">,</span> <span class="n">loss</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">out</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Could not find requested loss function &quot;</span><span class="si">{}</span><span class="s1">&quot; in &#39;</span>
+                <span class="s1">&#39;sup3r.utilities.loss_metrics or tf.keras.losses.&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">loss</span><span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">KeyError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">out</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="AbstractSingleModel.get_optimizer_config">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.get_optimizer_config">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">get_optimizer_config</span><span class="p">(</span><span class="n">optimizer</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a config that defines the current model optimizer</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        optimizer : tf.keras.optimizers.Optimizer</span>
+<span class="sd">            TF-Keras optimizer object (e.g., Adam)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        config : dict</span>
+<span class="sd">            Optimizer config</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">conf</span> <span class="o">=</span> <span class="n">optimizer</span><span class="o">.</span><span class="n">get_config</span><span class="p">()</span>
+        <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">conf</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+            <span class="c1"># need to convert numpy dtypes to float/int for json.dump()</span>
+            <span class="k">if</span> <span class="n">np</span><span class="o">.</span><span class="n">issubdtype</span><span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="n">v</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">floating</span><span class="p">):</span>
+                <span class="n">conf</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">v</span><span class="p">)</span>
+            <span class="k">elif</span> <span class="n">np</span><span class="o">.</span><span class="n">issubdtype</span><span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="n">v</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">integer</span><span class="p">):</span>
+                <span class="n">conf</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">v</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">conf</span></div>
+
+
+<div class="viewcode-block" id="AbstractSingleModel.get_optimizer_state">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.get_optimizer_state">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">get_optimizer_state</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">optimizer</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a set of state variables for the optimizer</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        optimizer : tf.keras.optimizers.Optimizer</span>
+<span class="sd">            TF-Keras optimizer object (e.g., Adam)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        state : dict</span>
+<span class="sd">            Optimizer state variables</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">lr</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_optimizer_config</span><span class="p">(</span><span class="n">optimizer</span><span class="p">)[</span><span class="s1">&#39;learning_rate&#39;</span><span class="p">]</span>
+        <span class="n">state</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;learning_rate&#39;</span><span class="p">:</span> <span class="n">lr</span><span class="p">}</span>
+        <span class="k">for</span> <span class="n">var</span> <span class="ow">in</span> <span class="n">optimizer</span><span class="o">.</span><span class="n">variables</span><span class="p">:</span>
+            <span class="n">name</span> <span class="o">=</span> <span class="n">var</span><span class="o">.</span><span class="n">name</span>
+            <span class="n">var</span> <span class="o">=</span> <span class="n">var</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span><span class="o">.</span><span class="n">flatten</span><span class="p">()</span>
+            <span class="n">var</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">var</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>  <span class="c1"># collapse ndarrays into mean absolute</span>
+            <span class="n">state</span><span class="p">[</span><span class="n">name</span><span class="p">]</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">var</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">state</span></div>
+
+
+<div class="viewcode-block" id="AbstractSingleModel.update_loss_details">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.update_loss_details">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">update_loss_details</span><span class="p">(</span><span class="n">loss_details</span><span class="p">,</span> <span class="n">new_data</span><span class="p">,</span> <span class="n">batch_len</span><span class="p">,</span> <span class="n">prefix</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Update a dictionary of loss_details with loss information from a new</span>
+<span class="sd">        batch.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        loss_details : dict</span>
+<span class="sd">            Namespace of the breakdown of loss components where each value is a</span>
+<span class="sd">            running average at the current state in the epoch.</span>
+<span class="sd">        new_data : dict</span>
+<span class="sd">            Namespace of the breakdown of loss components for a single new</span>
+<span class="sd">            batch.</span>
+<span class="sd">        batch_len : int</span>
+<span class="sd">            Length of the incoming batch.</span>
+<span class="sd">        prefix : None | str</span>
+<span class="sd">            Option to prefix the names of the loss data when saving to the</span>
+<span class="sd">            loss_details dictionary.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        loss_details : dict</span>
+<span class="sd">            Same as input loss_details but with running averages updated.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">assert</span> <span class="s1">&#39;n_obs&#39;</span> <span class="ow">in</span> <span class="n">loss_details</span><span class="p">,</span> <span class="s1">&#39;loss_details must have n_obs to start&#39;</span>
+        <span class="n">prior_n_obs</span> <span class="o">=</span> <span class="n">loss_details</span><span class="p">[</span><span class="s1">&#39;n_obs&#39;</span><span class="p">]</span>
+        <span class="n">new_n_obs</span> <span class="o">=</span> <span class="n">prior_n_obs</span> <span class="o">+</span> <span class="n">batch_len</span>
+
+        <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">new_data</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+            <span class="n">key</span> <span class="o">=</span> <span class="n">k</span> <span class="k">if</span> <span class="n">prefix</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">prefix</span> <span class="o">+</span> <span class="n">k</span>
+            <span class="n">new_value</span> <span class="o">=</span> <span class="n">numpy_if_tensor</span><span class="p">(</span><span class="n">v</span><span class="p">)</span>
+
+            <span class="k">if</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">loss_details</span><span class="p">:</span>
+                <span class="n">saved_value</span> <span class="o">=</span> <span class="n">loss_details</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+                <span class="n">saved_value</span> <span class="o">*=</span> <span class="n">prior_n_obs</span>
+                <span class="n">saved_value</span> <span class="o">+=</span> <span class="n">batch_len</span> <span class="o">*</span> <span class="n">new_value</span>
+                <span class="n">saved_value</span> <span class="o">/=</span> <span class="n">new_n_obs</span>
+                <span class="n">loss_details</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">saved_value</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">loss_details</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">new_value</span>
+
+        <span class="n">loss_details</span><span class="p">[</span><span class="s1">&#39;n_obs&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">new_n_obs</span>
+
+        <span class="k">return</span> <span class="n">loss_details</span></div>
+
+
+<div class="viewcode-block" id="AbstractSingleModel.log_loss_details">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.log_loss_details">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">log_loss_details</span><span class="p">(</span><span class="n">loss_details</span><span class="p">,</span> <span class="n">level</span><span class="o">=</span><span class="s1">&#39;INFO&#39;</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Log the loss details to the module logger.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        loss_details : dict</span>
+<span class="sd">            Namespace of the breakdown of loss components where each value is a</span>
+<span class="sd">            running average at the current state in the epoch.</span>
+<span class="sd">        level : str</span>
+<span class="sd">            Log level (e.g. INFO, DEBUG)</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">loss_details</span><span class="o">.</span><span class="n">items</span><span class="p">()):</span>
+            <span class="k">if</span> <span class="n">k</span> <span class="o">!=</span> <span class="s1">&#39;n_obs&#39;</span><span class="p">:</span>
+                <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">v</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+                    <span class="n">msg_format</span> <span class="o">=</span> <span class="s1">&#39;</span><span class="se">\t</span><span class="si">{}</span><span class="s1">: </span><span class="si">{}</span><span class="s1">&#39;</span>
+                <span class="k">else</span><span class="p">:</span>
+                    <span class="n">msg_format</span> <span class="o">=</span> <span class="s1">&#39;</span><span class="se">\t</span><span class="si">{}</span><span class="s1">: </span><span class="si">{:.2e}</span><span class="s1">&#39;</span>
+                <span class="k">if</span> <span class="n">level</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="o">==</span> <span class="s1">&#39;info&#39;</span><span class="p">:</span>
+                    <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="n">msg_format</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">k</span><span class="p">,</span> <span class="n">v</span><span class="p">))</span>
+                <span class="k">else</span><span class="p">:</span>
+                    <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="n">msg_format</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">k</span><span class="p">,</span> <span class="n">v</span><span class="p">))</span></div>
+
+
+<div class="viewcode-block" id="AbstractSingleModel.early_stop">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.early_stop">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">early_stop</span><span class="p">(</span><span class="n">history</span><span class="p">,</span> <span class="n">column</span><span class="p">,</span> <span class="n">threshold</span><span class="o">=</span><span class="mf">0.005</span><span class="p">,</span> <span class="n">n_epoch</span><span class="o">=</span><span class="mi">5</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Determine whether to stop training early based on nearly no change</span>
+<span class="sd">        to validation loss for a certain number of consecutive epochs.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        history : pd.DataFrame | None</span>
+<span class="sd">            Model training history</span>
+<span class="sd">        column : str</span>
+<span class="sd">            Column from the model training history to evaluate for early</span>
+<span class="sd">            termination.</span>
+<span class="sd">        threshold : float</span>
+<span class="sd">            The absolute relative fractional difference in validation loss</span>
+<span class="sd">            between subsequent epochs below which an early termination is</span>
+<span class="sd">            warranted. E.g. if val losses were 0.1 and 0.0998 the relative</span>
+<span class="sd">            diff would be calculated as 0.0002 / 0.1 = 0.002 which would be</span>
+<span class="sd">            less than the default thresold of 0.01 and would satisfy the</span>
+<span class="sd">            condition for early termination.</span>
+<span class="sd">        n_epoch : int</span>
+<span class="sd">            The number of consecutive epochs that satisfy the threshold that</span>
+<span class="sd">            warrants an early stop.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        stop : bool</span>
+<span class="sd">            Flag to stop training (True) or keep going (False).</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">stop</span> <span class="o">=</span> <span class="kc">False</span>
+
+        <span class="k">if</span> <span class="n">history</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">history</span><span class="p">)</span> <span class="o">&gt;</span> <span class="n">n_epoch</span> <span class="o">+</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">diffs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">diff</span><span class="p">(</span><span class="n">history</span><span class="p">[</span><span class="n">column</span><span class="p">]))</span>
+            <span class="k">if</span> <span class="nb">all</span><span class="p">(</span><span class="n">diffs</span><span class="p">[</span><span class="o">-</span><span class="n">n_epoch</span><span class="p">:]</span> <span class="o">&lt;</span> <span class="n">threshold</span><span class="p">):</span>
+                <span class="n">stop</span> <span class="o">=</span> <span class="kc">True</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="s1">&#39;Found early stop condition, loss values &quot;</span><span class="si">{}</span><span class="s1">&quot; &#39;</span>
+                    <span class="s1">&#39;have absolute relative differences less than &#39;</span>
+                    <span class="s1">&#39;threshold </span><span class="si">{}</span><span class="s1">: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                        <span class="n">column</span><span class="p">,</span> <span class="n">threshold</span><span class="p">,</span> <span class="n">diffs</span><span class="p">[</span><span class="o">-</span><span class="n">n_epoch</span><span class="p">:]</span>
+                    <span class="p">)</span>
+                <span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">stop</span></div>
+
+
+<div class="viewcode-block" id="AbstractSingleModel.save">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.save">[docs]</a>
+    <span class="nd">@abstractmethod</span>
+    <span class="k">def</span> <span class="nf">save</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">out_dir</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Save the model with its sub-networks to a directory.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        out_dir : str</span>
+<span class="sd">            Directory to save model files. This directory will be created</span>
+<span class="sd">            if it does not already exist.</span>
+<span class="sd">        &quot;&quot;&quot;</span></div>
+
+
+<div class="viewcode-block" id="AbstractSingleModel.finish_epoch">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.finish_epoch">[docs]</a>
+    <span class="k">def</span> <span class="nf">finish_epoch</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">epoch</span><span class="p">,</span>
+        <span class="n">epochs</span><span class="p">,</span>
+        <span class="n">t0</span><span class="p">,</span>
+        <span class="n">loss_details</span><span class="p">,</span>
+        <span class="n">checkpoint_int</span><span class="p">,</span>
+        <span class="n">out_dir</span><span class="p">,</span>
+        <span class="n">early_stop_on</span><span class="p">,</span>
+        <span class="n">early_stop_threshold</span><span class="p">,</span>
+        <span class="n">early_stop_n_epoch</span><span class="p">,</span>
+        <span class="n">extras</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Perform finishing checks after an epoch is done training</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        epoch : int</span>
+<span class="sd">            Epoch number that is finishing</span>
+<span class="sd">        epochs : list</span>
+<span class="sd">            List of epochs being iterated through</span>
+<span class="sd">        t0 : float</span>
+<span class="sd">            Starting time of training.</span>
+<span class="sd">        loss_details : dict</span>
+<span class="sd">            Namespace of the breakdown of loss components</span>
+<span class="sd">        checkpoint_int : int | None</span>
+<span class="sd">            Epoch interval at which to save checkpoint models.</span>
+<span class="sd">        out_dir : str</span>
+<span class="sd">            Directory to save checkpoint models. Should have {epoch} in</span>
+<span class="sd">            the directory name. This directory will be created if it does not</span>
+<span class="sd">            already exist.</span>
+<span class="sd">        early_stop_on : str | None</span>
+<span class="sd">            If not None, this should be a column in the training history to</span>
+<span class="sd">            evaluate for early stopping (e.g. validation_loss_gen,</span>
+<span class="sd">            validation_loss_disc). If this value in this history decreases by</span>
+<span class="sd">            an absolute fractional relative difference of less than 0.01 for</span>
+<span class="sd">            more than 5 epochs in a row, the training will stop early.</span>
+<span class="sd">        early_stop_threshold : float</span>
+<span class="sd">            The absolute relative fractional difference in validation loss</span>
+<span class="sd">            between subsequent epochs below which an early termination is</span>
+<span class="sd">            warranted. E.g. if val losses were 0.1 and 0.0998 the relative</span>
+<span class="sd">            diff would be calculated as 0.0002 / 0.1 = 0.002 which would be</span>
+<span class="sd">            less than the default thresold of 0.01 and would satisfy the</span>
+<span class="sd">            condition for early termination.</span>
+<span class="sd">        early_stop_n_epoch : int</span>
+<span class="sd">            The number of consecutive epochs that satisfy the threshold that</span>
+<span class="sd">            warrants an early stop.</span>
+<span class="sd">        extras : dict | None</span>
+<span class="sd">            Extra kwargs/parameters to save in the epoch history.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        stop : bool</span>
+<span class="sd">            Flag to early stop training.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">log_loss_details</span><span class="p">(</span><span class="n">loss_details</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_history</span><span class="o">.</span><span class="n">at</span><span class="p">[</span><span class="n">epoch</span><span class="p">,</span> <span class="s1">&#39;elapsed_time&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span> <span class="o">-</span> <span class="n">t0</span>
+        <span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">value</span> <span class="ow">in</span> <span class="n">loss_details</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+            <span class="k">if</span> <span class="n">key</span> <span class="o">!=</span> <span class="s1">&#39;n_obs&#39;</span><span class="p">:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_history</span><span class="o">.</span><span class="n">at</span><span class="p">[</span><span class="n">epoch</span><span class="p">,</span> <span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">value</span>
+
+        <span class="n">last_epoch</span> <span class="o">=</span> <span class="n">epoch</span> <span class="o">==</span> <span class="n">epochs</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+        <span class="n">chp</span> <span class="o">=</span> <span class="n">checkpoint_int</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="p">(</span><span class="n">epoch</span> <span class="o">%</span> <span class="n">checkpoint_int</span><span class="p">)</span> <span class="o">==</span> <span class="mi">0</span>
+        <span class="k">if</span> <span class="n">last_epoch</span> <span class="ow">or</span> <span class="n">chp</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Model output dir for checkpoint models should have &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="s2">&quot;</span><span class="si">{epoch}</span><span class="s2">&quot;</span><span class="si">}</span><span class="s1"> but did not: </span><span class="si">{</span><span class="n">out_dir</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="p">)</span>
+            <span class="k">assert</span> <span class="s1">&#39;</span><span class="si">{epoch}</span><span class="s1">&#39;</span> <span class="ow">in</span> <span class="n">out_dir</span><span class="p">,</span> <span class="n">msg</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">out_dir</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">epoch</span><span class="o">=</span><span class="n">epoch</span><span class="p">))</span>
+
+        <span class="n">stop</span> <span class="o">=</span> <span class="kc">False</span>
+        <span class="k">if</span> <span class="n">early_stop_on</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">early_stop_on</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_history</span><span class="p">:</span>
+            <span class="n">stop</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">early_stop</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_history</span><span class="p">,</span>
+                <span class="n">early_stop_on</span><span class="p">,</span>
+                <span class="n">threshold</span><span class="o">=</span><span class="n">early_stop_threshold</span><span class="p">,</span>
+                <span class="n">n_epoch</span><span class="o">=</span><span class="n">early_stop_n_epoch</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="k">if</span> <span class="n">stop</span><span class="p">:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">out_dir</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">epoch</span><span class="o">=</span><span class="n">epoch</span><span class="p">))</span>
+
+        <span class="k">if</span> <span class="n">extras</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">extras</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_history</span><span class="o">.</span><span class="n">at</span><span class="p">[</span><span class="n">epoch</span><span class="p">,</span> <span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="n">safe_cast</span><span class="p">(</span><span class="n">v</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">stop</span></div>
+
+
+<div class="viewcode-block" id="AbstractSingleModel.run_gradient_descent">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.run_gradient_descent">[docs]</a>
+    <span class="k">def</span> <span class="nf">run_gradient_descent</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">low_res</span><span class="p">,</span>
+        <span class="n">hi_res_true</span><span class="p">,</span>
+        <span class="n">training_weights</span><span class="p">,</span>
+        <span class="n">optimizer</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">multi_gpu</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+        <span class="o">**</span><span class="n">calc_loss_kwargs</span><span class="p">,</span>
+    <span class="p">):</span>
+        <span class="c1"># pylint: disable=E0602</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Run gradient descent for one mini-batch of (low_res, hi_res_true)</span>
+<span class="sd">        and update weights</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        low_res : np.ndarray</span>
+<span class="sd">            Real low-resolution data in a 4D or 5D array:</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, features)</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        hi_res_true : np.ndarray</span>
+<span class="sd">            Real high-resolution data in a 4D or 5D array:</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, features)</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        training_weights : list</span>
+<span class="sd">            A list of layer weights that are to-be-trained based on the</span>
+<span class="sd">            current loss weight values.</span>
+<span class="sd">        optimizer : tf.keras.optimizers.Optimizer</span>
+<span class="sd">            Optimizer class to use to update weights. This can be different if</span>
+<span class="sd">            you&#39;re training just the generator or one of the discriminator</span>
+<span class="sd">            models. Defaults to the generator optimizer.</span>
+<span class="sd">        multi_gpu : bool</span>
+<span class="sd">            Flag to break up the batch for parallel gradient descent</span>
+<span class="sd">            calculations on multiple gpus. If True and multiple GPUs are</span>
+<span class="sd">            present, each batch from the batch_handler will be divided up</span>
+<span class="sd">            between the GPUs and the resulting gradient from each GPU will</span>
+<span class="sd">            constitute a single gradient descent step with the nominal learning</span>
+<span class="sd">            rate that the model was initialized with.</span>
+<span class="sd">        calc_loss_kwargs : dict</span>
+<span class="sd">            Kwargs to pass to the self.calc_loss() method</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        loss_details : dict</span>
+<span class="sd">            Namespace of the breakdown of loss components</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">timer</span><span class="o">.</span><span class="n">start</span><span class="p">()</span>
+        <span class="k">if</span> <span class="n">optimizer</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">optimizer</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span>
+
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">multi_gpu</span> <span class="ow">or</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">gpu_list</span><span class="p">)</span> <span class="o">&lt;</span> <span class="mi">2</span><span class="p">:</span>
+            <span class="n">grad</span><span class="p">,</span> <span class="n">loss_details</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_single_grad</span><span class="p">(</span>
+                <span class="n">low_res</span><span class="p">,</span>
+                <span class="n">hi_res_true</span><span class="p">,</span>
+                <span class="n">training_weights</span><span class="p">,</span>
+                <span class="n">device_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">default_device</span><span class="p">,</span>
+                <span class="o">**</span><span class="n">calc_loss_kwargs</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="n">optimizer</span><span class="o">.</span><span class="n">apply_gradients</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="n">grad</span><span class="p">,</span> <span class="n">training_weights</span><span class="p">))</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">timer</span><span class="o">.</span><span class="n">stop</span><span class="p">()</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                <span class="s1">&#39;Finished single gradient descent step in </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">timer</span><span class="o">.</span><span class="n">elapsed_str</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">futures</span> <span class="o">=</span> <span class="p">[]</span>
+            <span class="n">lr_chunks</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array_split</span><span class="p">(</span><span class="n">low_res</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">gpu_list</span><span class="p">))</span>
+            <span class="n">hr_true_chunks</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array_split</span><span class="p">(</span><span class="n">hi_res_true</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">gpu_list</span><span class="p">))</span>
+            <span class="n">split_mask</span> <span class="o">=</span> <span class="kc">False</span>
+            <span class="n">mask_chunks</span> <span class="o">=</span> <span class="kc">None</span>
+            <span class="k">if</span> <span class="s1">&#39;mask&#39;</span> <span class="ow">in</span> <span class="n">calc_loss_kwargs</span><span class="p">:</span>
+                <span class="n">split_mask</span> <span class="o">=</span> <span class="kc">True</span>
+                <span class="n">mask_chunks</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array_split</span><span class="p">(</span>
+                    <span class="n">calc_loss_kwargs</span><span class="p">[</span><span class="s1">&#39;mask&#39;</span><span class="p">],</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">gpu_list</span><span class="p">)</span>
+                <span class="p">)</span>
+
+            <span class="k">with</span> <span class="n">ThreadPoolExecutor</span><span class="p">(</span><span class="n">max_workers</span><span class="o">=</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">gpu_list</span><span class="p">))</span> <span class="k">as</span> <span class="n">exe</span><span class="p">:</span>
+                <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">gpu_list</span><span class="p">)):</span>
+                    <span class="k">if</span> <span class="n">split_mask</span><span class="p">:</span>
+                        <span class="n">calc_loss_kwargs</span><span class="p">[</span><span class="s1">&#39;mask&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">mask_chunks</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
+                    <span class="n">futures</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
+                        <span class="n">exe</span><span class="o">.</span><span class="n">submit</span><span class="p">(</span>
+                            <span class="bp">self</span><span class="o">.</span><span class="n">get_single_grad</span><span class="p">,</span>
+                            <span class="n">lr_chunks</span><span class="p">[</span><span class="n">i</span><span class="p">],</span>
+                            <span class="n">hr_true_chunks</span><span class="p">[</span><span class="n">i</span><span class="p">],</span>
+                            <span class="n">training_weights</span><span class="p">,</span>
+                            <span class="n">device_name</span><span class="o">=</span><span class="sa">f</span><span class="s1">&#39;/gpu:</span><span class="si">{</span><span class="n">i</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">,</span>
+                            <span class="o">**</span><span class="n">calc_loss_kwargs</span><span class="p">,</span>
+                        <span class="p">)</span>
+                    <span class="p">)</span>
+            <span class="k">for</span> <span class="n">_</span><span class="p">,</span> <span class="n">future</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">futures</span><span class="p">):</span>
+                <span class="n">grad</span><span class="p">,</span> <span class="n">loss_details</span> <span class="o">=</span> <span class="n">future</span><span class="o">.</span><span class="n">result</span><span class="p">()</span>
+                <span class="n">optimizer</span><span class="o">.</span><span class="n">apply_gradients</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="n">grad</span><span class="p">,</span> <span class="n">training_weights</span><span class="p">))</span>
+
+            <span class="bp">self</span><span class="o">.</span><span class="n">timer</span><span class="o">.</span><span class="n">stop</span><span class="p">()</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                <span class="s1">&#39;Finished </span><span class="si">%s</span><span class="s1"> gradient descent steps on </span><span class="si">%s</span><span class="s1"> GPUs in </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span>
+                <span class="nb">len</span><span class="p">(</span><span class="n">futures</span><span class="p">),</span>
+                <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">gpu_list</span><span class="p">),</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">timer</span><span class="o">.</span><span class="n">elapsed_str</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="n">loss_details</span></div>
+
+
+    <span class="k">def</span> <span class="nf">_reshape_norm_exo</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hi_res</span><span class="p">,</span> <span class="n">hi_res_exo</span><span class="p">,</span> <span class="n">exo_name</span><span class="p">,</span> <span class="n">norm_in</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Reshape the hi_res_topo to match the hi_res tensor (if necessary)</span>
+<span class="sd">        and normalize (if requested).</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        hi_res : ndarray</span>
+<span class="sd">            Synthetically generated high-resolution data, usually a 4D or 5D</span>
+<span class="sd">            array with shape:</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_features)</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_temporal, n_features)</span>
+<span class="sd">        hi_res_exo : np.ndarray</span>
+<span class="sd">            This should be a 4D array for spatial enhancement model or 5D array</span>
+<span class="sd">            for a spatiotemporal enhancement model (obs, spatial_1, spatial_2,</span>
+<span class="sd">            (temporal), features) corresponding to the high-resolution</span>
+<span class="sd">            spatial_1, spatial_2, temporal. This data will be input to the</span>
+<span class="sd">            custom phygnn Sup3rAdder or Sup3rConcat layer if found in the</span>
+<span class="sd">            generative network. This differs from the exogenous_data input in</span>
+<span class="sd">            that exogenous_data always matches the low-res input. For this</span>
+<span class="sd">            function, hi_res_exo can also be a 3D array (spatial_1, spatial_2,</span>
+<span class="sd">            1). Note that this input gets normalized if norm_in=True.</span>
+<span class="sd">        exo_name : str</span>
+<span class="sd">            Name of feature corresponding to hi_res_exo data.</span>
+<span class="sd">        norm_in : bool</span>
+<span class="sd">            Flag to normalize low_res input data if the self._means,</span>
+<span class="sd">            self._stdevs attributes are available. The generator should always</span>
+<span class="sd">            received normalized data with mean=0 stdev=1. This also normalizes</span>
+<span class="sd">            hi_res_topo.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        hi_res_topo : np.ndarray</span>
+<span class="sd">            Same as input but reshaped to match hi_res (if necessary) and</span>
+<span class="sd">            normalized (if requested)</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">hi_res_exo</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">hi_res_exo</span>
+
+        <span class="k">if</span> <span class="n">norm_in</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">_means</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">hi_res_exo</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="n">hi_res_exo</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">_means</span><span class="p">[</span><span class="n">exo_name</span><span class="p">]</span>
+            <span class="p">)</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">_stdevs</span><span class="p">[</span><span class="n">exo_name</span><span class="p">]</span>
+
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">hi_res_exo</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">3</span><span class="p">:</span>
+            <span class="n">hi_res_exo</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">hi_res_exo</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+            <span class="n">hi_res_exo</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">repeat</span><span class="p">(</span><span class="n">hi_res_exo</span><span class="p">,</span> <span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">hi_res_exo</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">4</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">5</span><span class="p">:</span>
+            <span class="n">hi_res_exo</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">hi_res_exo</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
+            <span class="n">hi_res_exo</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">repeat</span><span class="p">(</span><span class="n">hi_res_exo</span><span class="p">,</span> <span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">3</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">hi_res_exo</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">!=</span> <span class="nb">len</span><span class="p">(</span><span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span><span class="p">):</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;hi_res and hi_res_exo arrays are not of the same rank: &#39;</span>
+                <span class="s1">&#39;</span><span class="si">{}</span><span class="s1"> and </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">hi_res_exo</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">hi_res_exo</span>
+
+<div class="viewcode-block" id="AbstractSingleModel.generate">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.generate">[docs]</a>
+    <span class="k">def</span> <span class="nf">generate</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span> <span class="n">low_res</span><span class="p">,</span> <span class="n">norm_in</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">un_norm_out</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">exogenous_data</span><span class="o">=</span><span class="kc">None</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Use the generator model to generate high res data from low res</span>
+<span class="sd">        input. This is the public generate function.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        low_res : np.ndarray</span>
+<span class="sd">            Low-resolution input data, usually a 4D or 5D array of shape:</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_features)</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_temporal, n_features)</span>
+<span class="sd">        norm_in : bool</span>
+<span class="sd">            Flag to normalize low_res input data if the self._means,</span>
+<span class="sd">            self._stdevs attributes are available. The generator should always</span>
+<span class="sd">            received normalized data with mean=0 stdev=1. This also normalizes</span>
+<span class="sd">            hi_res_topo.</span>
+<span class="sd">        un_norm_out : bool</span>
+<span class="sd">           Flag to un-normalize synthetically generated output data to physical</span>
+<span class="sd">           units</span>
+<span class="sd">        exogenous_data : dict | ExoData | None</span>
+<span class="sd">            Special dictionary (class:`ExoData`) of exogenous feature data with</span>
+<span class="sd">            entries describing whether features should be combined at input, a</span>
+<span class="sd">            mid network layer, or with output. This doesn&#39;t have to include</span>
+<span class="sd">            the &#39;model&#39; key since this data is for a single step model.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        hi_res : ndarray</span>
+<span class="sd">            Synthetically generated high-resolution data, usually a 4D or 5D</span>
+<span class="sd">            array with shape:</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_features)</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_temporal, n_features)</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="p">(</span>
+            <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">exogenous_data</span><span class="p">,</span> <span class="n">ExoData</span><span class="p">)</span>
+            <span class="ow">and</span> <span class="n">exogenous_data</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+        <span class="p">):</span>
+            <span class="n">exogenous_data</span> <span class="o">=</span> <span class="n">ExoData</span><span class="p">(</span><span class="n">exogenous_data</span><span class="p">)</span>
+
+        <span class="n">low_res</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_combine_fwp_input</span><span class="p">(</span><span class="n">low_res</span><span class="p">,</span> <span class="n">exogenous_data</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">norm_in</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">_means</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">low_res</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">norm_input</span><span class="p">(</span><span class="n">low_res</span><span class="p">)</span>
+
+        <span class="n">hi_res</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">generator</span><span class="o">.</span><span class="n">layers</span><span class="p">[</span><span class="mi">0</span><span class="p">](</span><span class="n">low_res</span><span class="p">)</span>
+        <span class="n">layer_num</span> <span class="o">=</span> <span class="mi">1</span>
+        <span class="k">try</span><span class="p">:</span>
+            <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">layer</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">generator</span><span class="o">.</span><span class="n">layers</span><span class="p">[</span><span class="mi">1</span><span class="p">:]):</span>
+                <span class="n">layer_num</span> <span class="o">=</span> <span class="n">i</span> <span class="o">+</span> <span class="mi">1</span>
+                <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">layer</span><span class="p">,</span> <span class="p">(</span><span class="n">Sup3rAdder</span><span class="p">,</span> <span class="n">Sup3rConcat</span><span class="p">)):</span>
+                    <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                        <span class="sa">f</span><span class="s1">&#39;layer.name = </span><span class="si">{</span><span class="n">layer</span><span class="o">.</span><span class="n">name</span><span class="si">}</span><span class="s1"> does not match any &#39;</span>
+                        <span class="s1">&#39;features in exogenous_data &#39;</span>
+                        <span class="sa">f</span><span class="s1">&#39;(</span><span class="si">{</span><span class="nb">list</span><span class="p">(</span><span class="n">exogenous_data</span><span class="p">)</span><span class="si">}</span><span class="s1">)&#39;</span>
+                    <span class="p">)</span>
+                    <span class="k">assert</span> <span class="n">layer</span><span class="o">.</span><span class="n">name</span> <span class="ow">in</span> <span class="n">exogenous_data</span><span class="p">,</span> <span class="n">msg</span>
+                    <span class="n">hi_res_exo</span> <span class="o">=</span> <span class="n">exogenous_data</span><span class="o">.</span><span class="n">get_combine_type_data</span><span class="p">(</span>
+                        <span class="n">layer</span><span class="o">.</span><span class="n">name</span><span class="p">,</span> <span class="s1">&#39;layer&#39;</span>
+                    <span class="p">)</span>
+                    <span class="n">hi_res_exo</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_reshape_norm_exo</span><span class="p">(</span>
+                        <span class="n">hi_res</span><span class="p">,</span> <span class="n">hi_res_exo</span><span class="p">,</span> <span class="n">layer</span><span class="o">.</span><span class="n">name</span><span class="p">,</span> <span class="n">norm_in</span><span class="o">=</span><span class="n">norm_in</span>
+                    <span class="p">)</span>
+                    <span class="n">hi_res</span> <span class="o">=</span> <span class="n">layer</span><span class="p">(</span><span class="n">hi_res</span><span class="p">,</span> <span class="n">hi_res_exo</span><span class="p">)</span>
+                <span class="k">else</span><span class="p">:</span>
+                    <span class="n">hi_res</span> <span class="o">=</span> <span class="n">layer</span><span class="p">(</span><span class="n">hi_res</span><span class="p">)</span>
+        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;Could not run layer #</span><span class="si">{}</span><span class="s1"> &quot;</span><span class="si">{}</span><span class="s1">&quot; on tensor of shape </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">layer_num</span><span class="p">,</span> <span class="n">layer</span><span class="p">,</span> <span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span>
+
+        <span class="n">hi_res</span> <span class="o">=</span> <span class="n">hi_res</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span>
+
+        <span class="k">if</span> <span class="n">un_norm_out</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">_means</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">hi_res</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">un_norm_output</span><span class="p">(</span><span class="n">hi_res</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_combine_fwp_output</span><span class="p">(</span><span class="n">hi_res</span><span class="p">,</span> <span class="n">exogenous_data</span><span class="p">)</span></div>
+
+
+    <span class="nd">@tf</span><span class="o">.</span><span class="n">function</span>
+    <span class="k">def</span> <span class="nf">_tf_generate</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">low_res</span><span class="p">,</span> <span class="n">hi_res_exo</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Use the generator model to generate high res data from low res input</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        low_res : np.ndarray</span>
+<span class="sd">            Real low-resolution data. The generator should always</span>
+<span class="sd">            received normalized data with mean=0 stdev=1.</span>
+<span class="sd">        hi_res_exo : dict</span>
+<span class="sd">            Dictionary of exogenous_data with same resolution as high_res data</span>
+<span class="sd">            e.g. ``{&#39;topography&#39;: np.array}``</span>
+<span class="sd">            The arrays in this dictionary should be a 4D array for spatial</span>
+<span class="sd">            enhancement model or 5D array for a spatiotemporal enhancement</span>
+<span class="sd">            model ``(obs, spatial_1, spatial_2, (temporal), features)``</span>
+<span class="sd">            corresponding to the high-resolution spatial_1 and spatial_2. This</span>
+<span class="sd">            data will be input to the custom phygnn Sup3rAdder or Sup3rConcat</span>
+<span class="sd">            layer if found in the generative network. This differs from the</span>
+<span class="sd">            exogenous_data input in that exogenous_data always matches the</span>
+<span class="sd">            low-res input.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        hi_res : tf.Tensor</span>
+<span class="sd">            Synthetically generated high-resolution data</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">hi_res</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">generator</span><span class="o">.</span><span class="n">layers</span><span class="p">[</span><span class="mi">0</span><span class="p">](</span><span class="n">low_res</span><span class="p">)</span>
+        <span class="n">layer_num</span> <span class="o">=</span> <span class="mi">1</span>
+        <span class="k">try</span><span class="p">:</span>
+            <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">layer</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">generator</span><span class="o">.</span><span class="n">layers</span><span class="p">[</span><span class="mi">1</span><span class="p">:]):</span>
+                <span class="n">layer_num</span> <span class="o">=</span> <span class="n">i</span> <span class="o">+</span> <span class="mi">1</span>
+                <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">layer</span><span class="p">,</span> <span class="p">(</span><span class="n">Sup3rAdder</span><span class="p">,</span> <span class="n">Sup3rConcat</span><span class="p">)):</span>
+                    <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                        <span class="sa">f</span><span class="s1">&#39;layer.name = </span><span class="si">{</span><span class="n">layer</span><span class="o">.</span><span class="n">name</span><span class="si">}</span><span class="s1"> does not match any &#39;</span>
+                        <span class="sa">f</span><span class="s1">&#39;features in exogenous_data (</span><span class="si">{</span><span class="nb">list</span><span class="p">(</span><span class="n">hi_res_exo</span><span class="p">)</span><span class="si">}</span><span class="s1">)&#39;</span>
+                    <span class="p">)</span>
+                    <span class="k">assert</span> <span class="n">layer</span><span class="o">.</span><span class="n">name</span> <span class="ow">in</span> <span class="n">hi_res_exo</span><span class="p">,</span> <span class="n">msg</span>
+                    <span class="n">hr_exo</span> <span class="o">=</span> <span class="n">hi_res_exo</span><span class="p">[</span><span class="n">layer</span><span class="o">.</span><span class="n">name</span><span class="p">]</span>
+                    <span class="n">hi_res</span> <span class="o">=</span> <span class="n">layer</span><span class="p">(</span><span class="n">hi_res</span><span class="p">,</span> <span class="n">hr_exo</span><span class="p">)</span>
+                <span class="k">else</span><span class="p">:</span>
+                    <span class="n">hi_res</span> <span class="o">=</span> <span class="n">layer</span><span class="p">(</span><span class="n">hi_res</span><span class="p">)</span>
+        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;Could not run layer #</span><span class="si">{}</span><span class="s1"> &quot;</span><span class="si">{}</span><span class="s1">&quot; on tensor of shape </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">layer_num</span><span class="p">,</span> <span class="n">layer</span><span class="p">,</span> <span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span>
+
+        <span class="k">return</span> <span class="n">hi_res</span>
+
+<div class="viewcode-block" id="AbstractSingleModel.get_single_grad">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.get_single_grad">[docs]</a>
+    <span class="nd">@tf</span><span class="o">.</span><span class="n">function</span>
+    <span class="k">def</span> <span class="nf">get_single_grad</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">low_res</span><span class="p">,</span>
+        <span class="n">hi_res_true</span><span class="p">,</span>
+        <span class="n">training_weights</span><span class="p">,</span>
+        <span class="n">device_name</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="o">**</span><span class="n">calc_loss_kwargs</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Run gradient descent for one mini-batch of (low_res, hi_res_true),</span>
+<span class="sd">        do not update weights, just return gradient details.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        low_res : np.ndarray</span>
+<span class="sd">            Real low-resolution data in a 4D or 5D array:</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, features)</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        hi_res_true : np.ndarray</span>
+<span class="sd">            Real high-resolution data in a 4D or 5D array:</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, features)</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        training_weights : list</span>
+<span class="sd">            A list of layer weights that are to-be-trained based on the</span>
+<span class="sd">            current loss weight values.</span>
+<span class="sd">        device_name : None | str</span>
+<span class="sd">            Optional tensorflow device name for GPU placement. Note that if a</span>
+<span class="sd">            GPU is available, variables will be placed on that GPU even if</span>
+<span class="sd">            device_name=None.</span>
+<span class="sd">        calc_loss_kwargs : dict</span>
+<span class="sd">            Kwargs to pass to the self.calc_loss() method</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        grad : list</span>
+<span class="sd">            a list or nested structure of Tensors (or IndexedSlices, or None,</span>
+<span class="sd">            or CompositeTensor) representing the gradients for the</span>
+<span class="sd">            training_weights</span>
+<span class="sd">        loss_details : dict</span>
+<span class="sd">            Namespace of the breakdown of loss components</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">with</span> <span class="n">tf</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="n">device_name</span><span class="p">),</span> <span class="n">tf</span><span class="o">.</span><span class="n">GradientTape</span><span class="p">(</span>
+            <span class="n">watch_accessed_variables</span><span class="o">=</span><span class="kc">False</span>
+        <span class="p">)</span> <span class="k">as</span> <span class="n">tape</span><span class="p">:</span>
+            <span class="n">tape</span><span class="o">.</span><span class="n">watch</span><span class="p">(</span><span class="n">training_weights</span><span class="p">)</span>
+            <span class="n">hi_res_exo</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_high_res_exo_input</span><span class="p">(</span><span class="n">hi_res_true</span><span class="p">)</span>
+            <span class="n">hi_res_gen</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_tf_generate</span><span class="p">(</span><span class="n">low_res</span><span class="p">,</span> <span class="n">hi_res_exo</span><span class="p">)</span>
+            <span class="n">loss_out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">calc_loss</span><span class="p">(</span>
+                <span class="n">hi_res_true</span><span class="p">,</span> <span class="n">hi_res_gen</span><span class="p">,</span> <span class="o">**</span><span class="n">calc_loss_kwargs</span>
+            <span class="p">)</span>
+            <span class="n">loss</span><span class="p">,</span> <span class="n">loss_details</span> <span class="o">=</span> <span class="n">loss_out</span>
+            <span class="n">grad</span> <span class="o">=</span> <span class="n">tape</span><span class="o">.</span><span class="n">gradient</span><span class="p">(</span><span class="n">loss</span><span class="p">,</span> <span class="n">training_weights</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">grad</span><span class="p">,</span> <span class="n">loss_details</span></div>
+</div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.models.base</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Sup3r model software&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">copy</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">pprint</span>
+<span class="kn">import</span> <span class="nn">time</span>
+<span class="kn">from</span> <span class="nn">warnings</span> <span class="kn">import</span> <span class="n">warn</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">tensorflow</span> <span class="k">as</span> <span class="nn">tf</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="n">get_class_kwargs</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities</span> <span class="kn">import</span> <span class="n">VERSION_RECORD</span>
+
+<span class="kn">from</span> <span class="nn">.abstract</span> <span class="kn">import</span> <span class="n">AbstractInterface</span><span class="p">,</span> <span class="n">AbstractSingleModel</span>
+<span class="kn">from</span> <span class="nn">.utilities</span> <span class="kn">import</span> <span class="n">get_optimizer_class</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="Sup3rGan">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan">[docs]</a>
+<span class="k">class</span> <span class="nc">Sup3rGan</span><span class="p">(</span><span class="n">AbstractSingleModel</span><span class="p">,</span> <span class="n">AbstractInterface</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Basic sup3r GAN model.&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">gen_layers</span><span class="p">,</span>
+        <span class="n">disc_layers</span><span class="p">,</span>
+        <span class="n">loss</span><span class="o">=</span><span class="s1">&#39;MeanSquaredError&#39;</span><span class="p">,</span>
+        <span class="n">optimizer</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">learning_rate</span><span class="o">=</span><span class="mf">1e-4</span><span class="p">,</span>
+        <span class="n">optimizer_disc</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">learning_rate_disc</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">history</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">meta</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">means</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">stdevs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">default_device</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">name</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        gen_layers : list | str</span>
+<span class="sd">            Hidden layers input argument to phygnn.base.CustomNetwork for the</span>
+<span class="sd">            generative super resolving model. Can also be a str filepath to a</span>
+<span class="sd">            .json config file containing the input layers argument or a .pkl</span>
+<span class="sd">            for a saved pre-trained model.</span>
+<span class="sd">        disc_layers : list | str</span>
+<span class="sd">            Hidden layers input argument to phygnn.base.CustomNetwork for the</span>
+<span class="sd">            discriminative model (spatial or spatiotemporal discriminator). Can</span>
+<span class="sd">            also be a str filepath to a .json config file containing the input</span>
+<span class="sd">            layers argument or a .pkl for a saved pre-trained model.</span>
+<span class="sd">        loss : str | dict</span>
+<span class="sd">            Loss function class name from sup3r.utilities.loss_metrics</span>
+<span class="sd">            (prioritized) or tensorflow.keras.losses. Defaults to</span>
+<span class="sd">            tf.keras.losses.MeanSquaredError. This can be provided as a dict</span>
+<span class="sd">            with kwargs for loss functions with extra parameters.</span>
+<span class="sd">            e.g. {&#39;SpatialExtremesLoss&#39;: {&#39;weight&#39;: 0.5}}</span>
+<span class="sd">        optimizer : tf.keras.optimizers.Optimizer | dict | None | str</span>
+<span class="sd">            Instantiated tf.keras.optimizers object or a dict optimizer config</span>
+<span class="sd">            from tf.keras.optimizers.get_config(). None defaults to Adam.</span>
+<span class="sd">        learning_rate : float, optional</span>
+<span class="sd">            Optimizer learning rate. Not used if optimizer input arg is a</span>
+<span class="sd">            pre-initialized object or if optimizer input arg is a config dict.</span>
+<span class="sd">        optimizer_disc : tf.keras.optimizers.Optimizer | dict | None</span>
+<span class="sd">            Same as optimizer input, but if specified this makes a different</span>
+<span class="sd">            optimizer just for the discriminator network (spatial or</span>
+<span class="sd">            spatiotemporal disc).</span>
+<span class="sd">        learning_rate_disc : float, optional</span>
+<span class="sd">            Same as learning_rate input, but if specified this makes a</span>
+<span class="sd">            different learning_rate just for the discriminator network (spatial</span>
+<span class="sd">            or spatiotemporal disc).</span>
+<span class="sd">        history : pd.DataFrame | str | None</span>
+<span class="sd">            Model training history with &quot;epoch&quot; index, str pointing to a saved</span>
+<span class="sd">            history csv file with &quot;epoch&quot; as first column, or None for clean</span>
+<span class="sd">            history</span>
+<span class="sd">        meta : dict | None</span>
+<span class="sd">            Model meta data that describes how the model was created.</span>
+<span class="sd">        means : dict | None</span>
+<span class="sd">            Set of mean values for data normalization keyed by feature name.</span>
+<span class="sd">            Can be used to maintain a consistent normalization scheme between</span>
+<span class="sd">            transfer learning domains.</span>
+<span class="sd">        stdevs : dict | None</span>
+<span class="sd">            Set of stdev values for data normalization keyed by feature name.</span>
+<span class="sd">            Can be used to maintain a consistent normalization scheme between</span>
+<span class="sd">            transfer learning domains.</span>
+<span class="sd">        default_device : str | None</span>
+<span class="sd">            Option for default device placement of model weights. If None and a</span>
+<span class="sd">            single GPU exists, that GPU will be the default device. If None and</span>
+<span class="sd">            multiple GPUs exist, the CPU will be the default device (this was</span>
+<span class="sd">            tested as most efficient given the custom multi-gpu strategy</span>
+<span class="sd">            developed in self.run_gradient_descent()). Examples: &quot;/gpu:0&quot; or</span>
+<span class="sd">            &quot;/cpu:0&quot;</span>
+<span class="sd">        name : str | None</span>
+<span class="sd">            Optional name for the GAN.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">default_device</span> <span class="o">=</span> <span class="n">default_device</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">default_device</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">gpu_list</span><span class="p">)</span> <span class="o">&gt;=</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">default_device</span> <span class="o">=</span> <span class="s1">&#39;/gpu:0&#39;</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="n">name</span> <span class="k">if</span> <span class="n">name</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_meta</span> <span class="o">=</span> <span class="n">meta</span> <span class="k">if</span> <span class="n">meta</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="p">{}</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">loss_name</span> <span class="o">=</span> <span class="n">loss</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">loss_fun</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_loss_fun</span><span class="p">(</span><span class="n">loss</span><span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">_history</span> <span class="o">=</span> <span class="n">history</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_history</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_history</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_history</span><span class="p">,</span> <span class="n">index_col</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+
+        <span class="n">optimizer_disc</span> <span class="o">=</span> <span class="n">optimizer_disc</span> <span class="ow">or</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">optimizer</span><span class="p">)</span>
+        <span class="n">learning_rate_disc</span> <span class="o">=</span> <span class="n">learning_rate_disc</span> <span class="ow">or</span> <span class="n">learning_rate</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_optimizer</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">init_optimizer</span><span class="p">(</span><span class="n">optimizer</span><span class="p">,</span> <span class="n">learning_rate</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_optimizer_disc</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">init_optimizer</span><span class="p">(</span>
+            <span class="n">optimizer_disc</span><span class="p">,</span> <span class="n">learning_rate_disc</span>
+        <span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">_gen</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">load_network</span><span class="p">(</span><span class="n">gen_layers</span><span class="p">,</span> <span class="s1">&#39;generator&#39;</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_disc</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">load_network</span><span class="p">(</span><span class="n">disc_layers</span><span class="p">,</span> <span class="s1">&#39;discriminator&#39;</span><span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">_means</span> <span class="o">=</span> <span class="n">means</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_stdevs</span> <span class="o">=</span> <span class="n">stdevs</span>
+
+<div class="viewcode-block" id="Sup3rGan.save">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.save">[docs]</a>
+    <span class="k">def</span> <span class="nf">save</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">out_dir</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Save the GAN with its sub-networks to a directory.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        out_dir : str</span>
+<span class="sd">            Directory to save GAN model files. This directory will be created</span>
+<span class="sd">            if it does not already exist.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">out_dir</span><span class="p">):</span>
+            <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">out_dir</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+        <span class="n">fp_gen</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">out_dir</span><span class="p">,</span> <span class="s1">&#39;model_gen.pkl&#39;</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">generator</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">fp_gen</span><span class="p">)</span>
+
+        <span class="n">fp_disc</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">out_dir</span><span class="p">,</span> <span class="s1">&#39;model_disc.pkl&#39;</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">discriminator</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">fp_disc</span><span class="p">)</span>
+
+        <span class="n">fp_history</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">history</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">):</span>
+            <span class="n">fp_history</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">out_dir</span><span class="p">,</span> <span class="s1">&#39;history.csv&#39;</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">history</span><span class="o">.</span><span class="n">to_csv</span><span class="p">(</span><span class="n">fp_history</span><span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">save_params</span><span class="p">(</span><span class="n">out_dir</span><span class="p">)</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Saved GAN to disk in directory: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">out_dir</span><span class="p">))</span></div>
+
+
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">_load</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">model_dir</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get gen, disc, and params for given model_dir.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        model_dir : str</span>
+<span class="sd">            Directory to load GAN model files from.</span>
+<span class="sd">        verbose : bool</span>
+<span class="sd">            Flag to log information about the loaded model.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        fp_gen : str</span>
+<span class="sd">            Path to generator model</span>
+<span class="sd">        fp_disc : str</span>
+<span class="sd">            Path to discriminator model</span>
+<span class="sd">        params : dict</span>
+<span class="sd">            Dictionary of model params to be used in model initialization</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="s1">&#39;Loading GAN from disk in directory: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">model_dir</span><span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;Active python environment versions: </span><span class="se">\n</span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">pprint</span><span class="o">.</span><span class="n">pformat</span><span class="p">(</span><span class="n">VERSION_RECORD</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="n">fp_gen</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">model_dir</span><span class="p">,</span> <span class="s1">&#39;model_gen.pkl&#39;</span><span class="p">)</span>
+        <span class="n">fp_disc</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">model_dir</span><span class="p">,</span> <span class="s1">&#39;model_disc.pkl&#39;</span><span class="p">)</span>
+        <span class="n">params</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">load_saved_params</span><span class="p">(</span><span class="n">model_dir</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">fp_gen</span><span class="p">,</span> <span class="n">fp_disc</span><span class="p">,</span> <span class="n">params</span>
+
+<div class="viewcode-block" id="Sup3rGan.load">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.load">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">model_dir</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Load the GAN with its sub-networks from a previously saved-to output</span>
+<span class="sd">        directory.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        model_dir : str</span>
+<span class="sd">            Directory to load GAN model files from.</span>
+<span class="sd">        verbose : bool</span>
+<span class="sd">            Flag to log information about the loaded model.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out : BaseModel</span>
+<span class="sd">            Returns a pretrained gan model that was previously saved to out_dir</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">fp_gen</span><span class="p">,</span> <span class="n">fp_disc</span><span class="p">,</span> <span class="n">params</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">_load</span><span class="p">(</span><span class="n">model_dir</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">cls</span><span class="p">(</span><span class="n">fp_gen</span><span class="p">,</span> <span class="n">fp_disc</span><span class="p">,</span> <span class="o">**</span><span class="n">params</span><span class="p">)</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">discriminator</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the discriminator model.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        phygnn.base.CustomNetwork</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_disc</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">discriminator_weights</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a list of layer weights and bias terms for the discriminator</span>
+<span class="sd">        model.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        list</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">discriminator</span><span class="o">.</span><span class="n">weights</span>
+
+<div class="viewcode-block" id="Sup3rGan.discriminate">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.discriminate">[docs]</a>
+    <span class="k">def</span> <span class="nf">discriminate</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hi_res</span><span class="p">,</span> <span class="n">norm_in</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Run the discriminator model on a hi resolution input field.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        hi_res : np.ndarray</span>
+<span class="sd">            Real or fake high res data in a 4D or 5D tensor:</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_features)</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_temporal, n_features)</span>
+<span class="sd">        norm_in : bool</span>
+<span class="sd">            Flag to normalize low_res input data if the self._means,</span>
+<span class="sd">            self._stdevs attributes are available. The disc should always</span>
+<span class="sd">            received normalized data with mean=0 stdev=1.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out : np.ndarray</span>
+<span class="sd">            Discriminator output logits</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">hi_res</span><span class="p">,</span> <span class="n">tf</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span>
+            <span class="n">hi_res</span> <span class="o">=</span> <span class="n">hi_res</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span>
+
+        <span class="k">if</span> <span class="n">norm_in</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">_means</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">mean_arr</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_means</span><span class="p">[</span><span class="n">fn</span><span class="p">]</span> <span class="k">for</span> <span class="n">fn</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_out_features</span><span class="p">]</span>
+            <span class="n">std_arr</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_stdevs</span><span class="p">[</span><span class="n">fn</span><span class="p">]</span> <span class="k">for</span> <span class="n">fn</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_out_features</span><span class="p">]</span>
+            <span class="n">mean_arr</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">mean_arr</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+            <span class="n">std_arr</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">std_arr</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+            <span class="n">hi_res</span> <span class="o">=</span> <span class="n">hi_res</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">hi_res</span><span class="p">,</span> <span class="n">tf</span><span class="o">.</span><span class="n">Tensor</span><span class="p">)</span> <span class="k">else</span> <span class="n">hi_res</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+            <span class="n">hi_res</span> <span class="o">=</span> <span class="p">(</span><span class="n">hi_res</span> <span class="o">-</span> <span class="n">mean_arr</span><span class="p">)</span> <span class="o">/</span> <span class="n">std_arr</span>
+
+        <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">discriminator</span><span class="o">.</span><span class="n">layers</span><span class="p">[</span><span class="mi">0</span><span class="p">](</span><span class="n">hi_res</span><span class="p">)</span>
+        <span class="n">layer_num</span> <span class="o">=</span> <span class="mi">1</span>
+        <span class="k">try</span><span class="p">:</span>
+            <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">layer</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">discriminator</span><span class="o">.</span><span class="n">layers</span><span class="p">[</span><span class="mi">1</span><span class="p">:]):</span>
+                <span class="n">out</span> <span class="o">=</span> <span class="n">layer</span><span class="p">(</span><span class="n">out</span><span class="p">)</span>
+                <span class="n">layer_num</span> <span class="o">=</span> <span class="n">i</span> <span class="o">+</span> <span class="mi">1</span>
+        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;Could not run layer #</span><span class="si">{}</span><span class="s1"> &quot;</span><span class="si">{}</span><span class="s1">&quot; on tensor of shape </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">layer_num</span><span class="p">,</span> <span class="n">layer</span><span class="p">,</span> <span class="n">out</span><span class="o">.</span><span class="n">shape</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span>
+
+        <span class="k">return</span> <span class="n">out</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span></div>
+
+
+    <span class="nd">@tf</span><span class="o">.</span><span class="n">function</span>
+    <span class="k">def</span> <span class="nf">_tf_discriminate</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hi_res</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Run the discriminator model on a hi resolution input field.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        hi_res : np.ndarray</span>
+<span class="sd">            Real or fake high res data in a 4D or 5D tensor:</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_features)</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_temporal, n_features)</span>
+<span class="sd">            This input should always be normalized with mean=0 and stdev=1</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out : np.ndarray</span>
+<span class="sd">            Discriminator output logits</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">discriminator</span><span class="o">.</span><span class="n">layers</span><span class="p">[</span><span class="mi">0</span><span class="p">](</span><span class="n">hi_res</span><span class="p">)</span>
+        <span class="n">layer_num</span> <span class="o">=</span> <span class="mi">1</span>
+        <span class="k">try</span><span class="p">:</span>
+            <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">layer</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">discriminator</span><span class="o">.</span><span class="n">layers</span><span class="p">[</span><span class="mi">1</span><span class="p">:]):</span>
+                <span class="n">layer_num</span> <span class="o">=</span> <span class="n">i</span> <span class="o">+</span> <span class="mi">1</span>
+                <span class="n">out</span> <span class="o">=</span> <span class="n">layer</span><span class="p">(</span><span class="n">out</span><span class="p">)</span>
+        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;Could not run layer #</span><span class="si">{}</span><span class="s1"> &quot;</span><span class="si">{}</span><span class="s1">&quot; on tensor of shape </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">layer_num</span><span class="p">,</span> <span class="n">layer</span><span class="p">,</span> <span class="n">out</span><span class="o">.</span><span class="n">shape</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span>
+
+        <span class="k">return</span> <span class="n">out</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">optimizer_disc</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the tensorflow optimizer to perform gradient descent</span>
+<span class="sd">        calculations for the discriminator network.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tf.keras.optimizers.Optimizer</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_optimizer_disc</span>
+
+<div class="viewcode-block" id="Sup3rGan.update_optimizer">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.update_optimizer">[docs]</a>
+    <span class="k">def</span> <span class="nf">update_optimizer</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">option</span><span class="o">=</span><span class="s1">&#39;generator&#39;</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Update optimizer by changing current configuration</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        option : str</span>
+<span class="sd">            Which optimizer to update. Can be &quot;generator&quot;, &quot;discriminator&quot;, or</span>
+<span class="sd">            &quot;all&quot;</span>
+<span class="sd">        kwargs : dict</span>
+<span class="sd">            kwargs to use for optimizer configuration update</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="s1">&#39;gen&#39;</span> <span class="ow">in</span> <span class="n">option</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">or</span> <span class="s1">&#39;all&#39;</span> <span class="ow">in</span> <span class="n">option</span><span class="o">.</span><span class="n">lower</span><span class="p">():</span>
+            <span class="n">conf</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_optimizer_config</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="p">)</span>
+            <span class="n">conf</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+            <span class="n">optimizer_class</span> <span class="o">=</span> <span class="n">get_optimizer_class</span><span class="p">(</span><span class="n">conf</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_optimizer</span> <span class="o">=</span> <span class="n">optimizer_class</span><span class="o">.</span><span class="n">from_config</span><span class="p">(</span>
+                <span class="n">get_class_kwargs</span><span class="p">(</span><span class="n">optimizer_class</span><span class="p">,</span> <span class="n">conf</span><span class="p">)</span>
+            <span class="p">)</span>
+
+        <span class="k">if</span> <span class="s1">&#39;disc&#39;</span> <span class="ow">in</span> <span class="n">option</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">or</span> <span class="s1">&#39;all&#39;</span> <span class="ow">in</span> <span class="n">option</span><span class="o">.</span><span class="n">lower</span><span class="p">():</span>
+            <span class="n">conf</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_optimizer_config</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">optimizer_disc</span><span class="p">)</span>
+            <span class="n">conf</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+            <span class="n">optimizer_class</span> <span class="o">=</span> <span class="n">get_optimizer_class</span><span class="p">(</span><span class="n">conf</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_optimizer_disc</span> <span class="o">=</span> <span class="n">optimizer_class</span><span class="o">.</span><span class="n">from_config</span><span class="p">(</span>
+                <span class="n">get_class_kwargs</span><span class="p">(</span><span class="n">optimizer_class</span><span class="p">,</span> <span class="n">conf</span><span class="p">)</span>
+            <span class="p">)</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">meta</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get meta data dictionary that defines how the model was created&quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="s1">&#39;class&#39;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_meta</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_meta</span><span class="p">[</span><span class="s1">&#39;class&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span>
+
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_meta</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">model_params</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Model parameters, used to save model to disc</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        dict</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">means</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_means</span>
+        <span class="n">stdevs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_stdevs</span>
+        <span class="k">if</span> <span class="n">means</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">stdevs</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">means</span> <span class="o">=</span> <span class="p">{</span><span class="n">k</span><span class="p">:</span> <span class="nb">float</span><span class="p">(</span><span class="n">v</span><span class="p">)</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">means</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
+            <span class="n">stdevs</span> <span class="o">=</span> <span class="p">{</span><span class="n">k</span><span class="p">:</span> <span class="nb">float</span><span class="p">(</span><span class="n">v</span><span class="p">)</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">stdevs</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
+
+        <span class="k">return</span> <span class="p">{</span>
+            <span class="s1">&#39;name&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">name</span><span class="p">,</span>
+            <span class="s1">&#39;loss&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">loss_name</span><span class="p">,</span>
+            <span class="s1">&#39;version_record&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">version_record</span><span class="p">,</span>
+            <span class="s1">&#39;optimizer&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_optimizer_config</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="p">),</span>
+            <span class="s1">&#39;optimizer_disc&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_optimizer_config</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">optimizer_disc</span><span class="p">),</span>
+            <span class="s1">&#39;means&#39;</span><span class="p">:</span> <span class="n">means</span><span class="p">,</span>
+            <span class="s1">&#39;stdevs&#39;</span><span class="p">:</span> <span class="n">stdevs</span><span class="p">,</span>
+            <span class="s1">&#39;meta&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="p">,</span>
+            <span class="s1">&#39;default_device&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">default_device</span><span class="p">,</span>
+        <span class="p">}</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">weights</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a list of all the layer weights and bias terms for the</span>
+<span class="sd">        generator and discriminator networks</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">generator_weights</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">discriminator_weights</span>
+
+<div class="viewcode-block" id="Sup3rGan.init_weights">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.init_weights">[docs]</a>
+    <span class="k">def</span> <span class="nf">init_weights</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">lr_shape</span><span class="p">,</span> <span class="n">hr_shape</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize the generator and discriminator weights with device</span>
+<span class="sd">        placement.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        lr_shape : tuple</span>
+<span class="sd">            Shape of one batch of low res input data for sup3r resolution. Note</span>
+<span class="sd">            that the batch size (axis=0) must be included, but the actual batch</span>
+<span class="sd">            size doesnt really matter.</span>
+<span class="sd">        hr_shape : tuple</span>
+<span class="sd">            Shape of one batch of high res input data for sup3r resolution.</span>
+<span class="sd">            Note that the batch size (axis=0) must be included, but the actual</span>
+<span class="sd">            batch size doesnt really matter.</span>
+<span class="sd">        device : str | None</span>
+<span class="sd">            Option to place model weights on a device. If None,</span>
+<span class="sd">            self.default_device will be used.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="n">device</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">device</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">default_device</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Initializing model weights on device &quot;</span><span class="si">{}</span><span class="s1">&quot;&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">device</span><span class="p">))</span>
+        <span class="n">low_res</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="n">lr_shape</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+        <span class="n">hi_res</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="n">hr_shape</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+
+        <span class="n">hr_exo_shape</span> <span class="o">=</span> <span class="n">hr_shape</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="p">(</span><span class="mi">1</span><span class="p">,)</span>
+        <span class="n">hr_exo</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="n">hr_exo_shape</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+
+        <span class="k">with</span> <span class="n">tf</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="n">device</span><span class="p">):</span>
+            <span class="n">hr_exo_data</span> <span class="o">=</span> <span class="p">{}</span>
+            <span class="k">for</span> <span class="n">feature</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_exo_features</span><span class="p">:</span>
+                <span class="n">hr_exo_data</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span> <span class="o">=</span> <span class="n">hr_exo</span>
+            <span class="n">_</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_tf_generate</span><span class="p">(</span><span class="n">low_res</span><span class="p">,</span> <span class="n">hr_exo_data</span><span class="p">)</span>
+            <span class="n">_</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_tf_discriminate</span><span class="p">(</span><span class="n">hi_res</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Sup3rGan.get_weight_update_fraction">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.get_weight_update_fraction">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">get_weight_update_fraction</span><span class="p">(</span>
+        <span class="n">history</span><span class="p">,</span> <span class="n">comparison_key</span><span class="p">,</span> <span class="n">update_bounds</span><span class="o">=</span><span class="p">(</span><span class="mf">0.5</span><span class="p">,</span> <span class="mf">0.95</span><span class="p">),</span> <span class="n">update_frac</span><span class="o">=</span><span class="mf">0.0</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the factor by which to multiply previous adversarial loss</span>
+<span class="sd">        weight</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        history : dict</span>
+<span class="sd">            Dictionary with information on how often discriminators</span>
+<span class="sd">            were trained during previous epoch.</span>
+<span class="sd">        comparison_key : str</span>
+<span class="sd">            history key to use for update check</span>
+<span class="sd">        update_bounds : tuple</span>
+<span class="sd">            Tuple specifying allowed range for history[comparison_key]. If</span>
+<span class="sd">            history[comparison_key] &lt; update_bounds[0] then the weight will be</span>
+<span class="sd">            increased by (1 + update_frac). If history[comparison_key] &gt;</span>
+<span class="sd">            update_bounds[1] then the weight will be decreased by 1 / (1 +</span>
+<span class="sd">            update_frac).</span>
+<span class="sd">        update_frac : float</span>
+<span class="sd">            Fraction by which to increase/decrease adversarial loss weight</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        float</span>
+<span class="sd">            Factor by which to multiply old weight to get updated weight</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">val</span> <span class="o">=</span> <span class="n">history</span><span class="p">[</span><span class="n">comparison_key</span><span class="p">]</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">val</span><span class="p">,</span> <span class="p">(</span><span class="nb">list</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">)):</span>
+            <span class="n">val</span> <span class="o">=</span> <span class="n">val</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+
+        <span class="k">if</span> <span class="n">val</span> <span class="o">&lt;</span> <span class="n">update_bounds</span><span class="p">[</span><span class="mi">0</span><span class="p">]:</span>
+            <span class="k">return</span> <span class="mi">1</span> <span class="o">+</span> <span class="n">update_frac</span>
+        <span class="k">if</span> <span class="n">val</span> <span class="o">&gt;</span> <span class="n">update_bounds</span><span class="p">[</span><span class="mi">1</span><span class="p">]:</span>
+            <span class="k">return</span> <span class="mi">1</span> <span class="o">/</span> <span class="p">(</span><span class="mi">1</span> <span class="o">+</span> <span class="n">update_frac</span><span class="p">)</span>
+        <span class="k">return</span> <span class="mi">1</span></div>
+
+
+<div class="viewcode-block" id="Sup3rGan.calc_loss_gen_content">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.calc_loss_gen_content">[docs]</a>
+    <span class="nd">@tf</span><span class="o">.</span><span class="n">function</span>
+    <span class="k">def</span> <span class="nf">calc_loss_gen_content</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hi_res_true</span><span class="p">,</span> <span class="n">hi_res_gen</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate the content loss term for the generator model.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        hi_res_true : tf.Tensor</span>
+<span class="sd">            Ground truth high resolution spatiotemporal data.</span>
+<span class="sd">        hi_res_gen : tf.Tensor</span>
+<span class="sd">            Superresolved high resolution spatiotemporal data generated by the</span>
+<span class="sd">            generative model.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        loss_gen_s : tf.Tensor</span>
+<span class="sd">            0D tensor generator model loss for the content loss comparing the</span>
+<span class="sd">            hi res ground truth to the hi res synthetically generated output.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">hi_res_gen</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_combine_loss_input</span><span class="p">(</span><span class="n">hi_res_true</span><span class="p">,</span> <span class="n">hi_res_gen</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">loss_fun</span><span class="p">(</span><span class="n">hi_res_true</span><span class="p">,</span> <span class="n">hi_res_gen</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Sup3rGan.calc_loss_gen_advers">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.calc_loss_gen_advers">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="nd">@tf</span><span class="o">.</span><span class="n">function</span>
+    <span class="k">def</span> <span class="nf">calc_loss_gen_advers</span><span class="p">(</span><span class="n">disc_out_gen</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate the adversarial component of the loss term for the</span>
+<span class="sd">        generator model.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        disc_out_gen : tf.Tensor</span>
+<span class="sd">            Raw discriminator outputs from the discriminator model</span>
+<span class="sd">            predicting only on hi_res_gen (not on hi_res_true).</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        loss_gen_advers : tf.Tensor</span>
+<span class="sd">            0D tensor generator model loss for the adversarial component of the</span>
+<span class="sd">            generator loss term.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="c1"># note that these have flipped labels from the discriminator</span>
+        <span class="c1"># loss because of the opposite optimization goal</span>
+        <span class="n">loss_gen_advers</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">sigmoid_cross_entropy_with_logits</span><span class="p">(</span>
+            <span class="n">logits</span><span class="o">=</span><span class="n">disc_out_gen</span><span class="p">,</span> <span class="n">labels</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">ones_like</span><span class="p">(</span><span class="n">disc_out_gen</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="n">loss_gen_advers</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Sup3rGan.calc_loss_disc">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.calc_loss_disc">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="nd">@tf</span><span class="o">.</span><span class="n">function</span>
+    <span class="k">def</span> <span class="nf">calc_loss_disc</span><span class="p">(</span><span class="n">disc_out_true</span><span class="p">,</span> <span class="n">disc_out_gen</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate the loss term for the discriminator model (either the</span>
+<span class="sd">        spatial or temporal discriminator).</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        disc_out_true : tf.Tensor</span>
+<span class="sd">            Raw discriminator outputs from the discriminator model predicting</span>
+<span class="sd">            only on ground truth data hi_res_true (not on hi_res_gen).</span>
+<span class="sd">        disc_out_gen : tf.Tensor</span>
+<span class="sd">            Raw discriminator outputs from the discriminator model predicting</span>
+<span class="sd">            only on synthetic data hi_res_gen (not on hi_res_true).</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        loss_disc : tf.Tensor</span>
+<span class="sd">            0D tensor discriminator model loss for either the spatial or</span>
+<span class="sd">            temporal component of the super resolution generated output.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="c1"># note that these have flipped labels from the generator</span>
+        <span class="c1"># loss because of the opposite optimization goal</span>
+        <span class="n">logits</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">disc_out_true</span><span class="p">,</span> <span class="n">disc_out_gen</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+        <span class="n">labels</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">concat</span><span class="p">(</span>
+            <span class="p">[</span><span class="n">tf</span><span class="o">.</span><span class="n">ones_like</span><span class="p">(</span><span class="n">disc_out_true</span><span class="p">),</span> <span class="n">tf</span><span class="o">.</span><span class="n">zeros_like</span><span class="p">(</span><span class="n">disc_out_gen</span><span class="p">)],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span>
+        <span class="p">)</span>
+
+        <span class="n">loss_disc</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">sigmoid_cross_entropy_with_logits</span><span class="p">(</span>
+            <span class="n">logits</span><span class="o">=</span><span class="n">logits</span><span class="p">,</span> <span class="n">labels</span><span class="o">=</span><span class="n">labels</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="n">loss_disc</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Sup3rGan.calc_loss">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.calc_loss">[docs]</a>
+    <span class="nd">@tf</span><span class="o">.</span><span class="n">function</span>
+    <span class="k">def</span> <span class="nf">calc_loss</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">hi_res_true</span><span class="p">,</span>
+        <span class="n">hi_res_gen</span><span class="p">,</span>
+        <span class="n">weight_gen_advers</span><span class="o">=</span><span class="mf">0.001</span><span class="p">,</span>
+        <span class="n">train_gen</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+        <span class="n">train_disc</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate the GAN loss function using generated and true high</span>
+<span class="sd">        resolution data.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        hi_res_true : tf.Tensor</span>
+<span class="sd">            Ground truth high resolution spatiotemporal data.</span>
+<span class="sd">        hi_res_gen : tf.Tensor</span>
+<span class="sd">            Superresolved high resolution spatiotemporal data generated by the</span>
+<span class="sd">            generative model.</span>
+<span class="sd">        weight_gen_advers : float</span>
+<span class="sd">            Weight factor for the adversarial loss component of the generator</span>
+<span class="sd">            vs. the discriminator.</span>
+<span class="sd">        train_gen : bool</span>
+<span class="sd">            True if generator is being trained, then loss=loss_gen</span>
+<span class="sd">        train_disc : bool</span>
+<span class="sd">            True if disc is being trained, then loss=loss_disc</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        loss : tf.Tensor</span>
+<span class="sd">            0D tensor representing the loss value for the network being trained</span>
+<span class="sd">            (either generator or one of the discriminators)</span>
+<span class="sd">        loss_details : dict</span>
+<span class="sd">            Namespace of the breakdown of loss components</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">hi_res_gen</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_combine_loss_input</span><span class="p">(</span><span class="n">hi_res_true</span><span class="p">,</span> <span class="n">hi_res_gen</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">hi_res_gen</span><span class="o">.</span><span class="n">shape</span> <span class="o">!=</span> <span class="n">hi_res_true</span><span class="o">.</span><span class="n">shape</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;The tensor shapes of the synthetic output </span><span class="si">{}</span><span class="s1"> and &#39;</span>
+                <span class="s1">&#39;true high res </span><span class="si">{}</span><span class="s1"> did not have matching shape! &#39;</span>
+                <span class="s1">&#39;Check the spatiotemporal enhancement multipliers in your &#39;</span>
+                <span class="s1">&#39;your model config and data handlers.&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="n">hi_res_gen</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">hi_res_true</span><span class="o">.</span><span class="n">shape</span>
+                <span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="n">disc_out_true</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_tf_discriminate</span><span class="p">(</span><span class="n">hi_res_true</span><span class="p">)</span>
+        <span class="n">disc_out_gen</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_tf_discriminate</span><span class="p">(</span><span class="n">hi_res_gen</span><span class="p">)</span>
+
+        <span class="n">loss_gen_content</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">calc_loss_gen_content</span><span class="p">(</span><span class="n">hi_res_true</span><span class="p">,</span> <span class="n">hi_res_gen</span><span class="p">)</span>
+        <span class="n">loss_gen_advers</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">calc_loss_gen_advers</span><span class="p">(</span><span class="n">disc_out_gen</span><span class="p">)</span>
+        <span class="n">loss_gen</span> <span class="o">=</span> <span class="n">loss_gen_content</span> <span class="o">+</span> <span class="n">weight_gen_advers</span> <span class="o">*</span> <span class="n">loss_gen_advers</span>
+
+        <span class="n">loss_disc</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">calc_loss_disc</span><span class="p">(</span><span class="n">disc_out_true</span><span class="p">,</span> <span class="n">disc_out_gen</span><span class="p">)</span>
+
+        <span class="n">loss</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="k">if</span> <span class="n">train_gen</span><span class="p">:</span>
+            <span class="n">loss</span> <span class="o">=</span> <span class="n">loss_gen</span>
+        <span class="k">elif</span> <span class="n">train_disc</span><span class="p">:</span>
+            <span class="n">loss</span> <span class="o">=</span> <span class="n">loss_disc</span>
+
+        <span class="n">loss_details</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="s1">&#39;loss_gen&#39;</span><span class="p">:</span> <span class="n">loss_gen</span><span class="p">,</span>
+            <span class="s1">&#39;loss_gen_content&#39;</span><span class="p">:</span> <span class="n">loss_gen_content</span><span class="p">,</span>
+            <span class="s1">&#39;loss_gen_advers&#39;</span><span class="p">:</span> <span class="n">loss_gen_advers</span><span class="p">,</span>
+            <span class="s1">&#39;loss_disc&#39;</span><span class="p">:</span> <span class="n">loss_disc</span><span class="p">,</span>
+        <span class="p">}</span>
+
+        <span class="k">return</span> <span class="n">loss</span><span class="p">,</span> <span class="n">loss_details</span></div>
+
+
+<div class="viewcode-block" id="Sup3rGan.calc_val_loss">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.calc_val_loss">[docs]</a>
+    <span class="k">def</span> <span class="nf">calc_val_loss</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch_handler</span><span class="p">,</span> <span class="n">weight_gen_advers</span><span class="p">,</span> <span class="n">loss_details</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate the validation loss at the current state of model training</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        batch_handler : sup3r.preprocessing.BatchHandler</span>
+<span class="sd">            BatchHandler object to iterate through</span>
+<span class="sd">        weight_gen_advers : float</span>
+<span class="sd">            Weight factor for the adversarial loss component of the generator</span>
+<span class="sd">            vs. the discriminator.</span>
+<span class="sd">        loss_details : dict</span>
+<span class="sd">            Namespace of the breakdown of loss components</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        loss_details : dict</span>
+<span class="sd">            Same as input but now includes val_* loss info</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Starting end-of-epoch validation loss calculation...&#39;</span><span class="p">)</span>
+        <span class="n">loss_details</span><span class="p">[</span><span class="s1">&#39;n_obs&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+        <span class="k">for</span> <span class="n">val_batch</span> <span class="ow">in</span> <span class="n">batch_handler</span><span class="o">.</span><span class="n">val_data</span><span class="p">:</span>
+            <span class="n">val_exo_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_high_res_exo_input</span><span class="p">(</span><span class="n">val_batch</span><span class="o">.</span><span class="n">high_res</span><span class="p">)</span>
+            <span class="n">high_res_gen</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_tf_generate</span><span class="p">(</span><span class="n">val_batch</span><span class="o">.</span><span class="n">low_res</span><span class="p">,</span> <span class="n">val_exo_data</span><span class="p">)</span>
+            <span class="n">_</span><span class="p">,</span> <span class="n">v_loss_details</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">calc_loss</span><span class="p">(</span>
+                <span class="n">val_batch</span><span class="o">.</span><span class="n">high_res</span><span class="p">,</span>
+                <span class="n">high_res_gen</span><span class="p">,</span>
+                <span class="n">weight_gen_advers</span><span class="o">=</span><span class="n">weight_gen_advers</span><span class="p">,</span>
+                <span class="n">train_gen</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+                <span class="n">train_disc</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+            <span class="p">)</span>
+
+            <span class="n">loss_details</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">update_loss_details</span><span class="p">(</span>
+                <span class="n">loss_details</span><span class="p">,</span> <span class="n">v_loss_details</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">val_batch</span><span class="p">),</span> <span class="n">prefix</span><span class="o">=</span><span class="s1">&#39;val_&#39;</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="n">loss_details</span></div>
+
+
+<div class="viewcode-block" id="Sup3rGan.train_epoch">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.train_epoch">[docs]</a>
+    <span class="k">def</span> <span class="nf">train_epoch</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">batch_handler</span><span class="p">,</span>
+        <span class="n">weight_gen_advers</span><span class="p">,</span>
+        <span class="n">train_gen</span><span class="p">,</span>
+        <span class="n">train_disc</span><span class="p">,</span>
+        <span class="n">disc_loss_bounds</span><span class="p">,</span>
+        <span class="n">multi_gpu</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Train the GAN for one epoch.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        batch_handler : sup3r.preprocessing.BatchHandler</span>
+<span class="sd">            BatchHandler object to iterate through</span>
+<span class="sd">        weight_gen_advers : float</span>
+<span class="sd">            Weight factor for the adversarial loss component of the generator</span>
+<span class="sd">            vs. the discriminator.</span>
+<span class="sd">        train_gen : bool</span>
+<span class="sd">            Flag whether to train the generator for this set of epochs</span>
+<span class="sd">        train_disc : bool</span>
+<span class="sd">            Flag whether to train the discriminator for this set of epochs</span>
+<span class="sd">        disc_loss_bounds : tuple</span>
+<span class="sd">            Lower and upper bounds for the discriminator loss outside of which</span>
+<span class="sd">            the discriminators will not train unless train_disc=True or</span>
+<span class="sd">            and train_gen=False.</span>
+<span class="sd">        multi_gpu : bool</span>
+<span class="sd">            Flag to break up the batch for parallel gradient descent</span>
+<span class="sd">            calculations on multiple gpus. If True and multiple GPUs are</span>
+<span class="sd">            present, each batch from the batch_handler will be divided up</span>
+<span class="sd">            between the GPUs and the resulting gradient from each GPU will</span>
+<span class="sd">            constitute a single gradient descent step with the nominal learning</span>
+<span class="sd">            rate that the model was initialized with. If true and multiple gpus</span>
+<span class="sd">            are found, default_device device should be set to /cpu:0</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        loss_details : dict</span>
+<span class="sd">            Namespace of the breakdown of loss components</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">disc_th_low</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">disc_loss_bounds</span><span class="p">)</span>
+        <span class="n">disc_th_high</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">disc_loss_bounds</span><span class="p">)</span>
+        <span class="n">loss_details</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;n_obs&#39;</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="s1">&#39;train_loss_disc&#39;</span><span class="p">:</span> <span class="mi">0</span><span class="p">}</span>
+
+        <span class="n">only_gen</span> <span class="o">=</span> <span class="n">train_gen</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">train_disc</span>
+        <span class="n">only_disc</span> <span class="o">=</span> <span class="n">train_disc</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">train_gen</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_write_tb_profile</span><span class="p">:</span>
+            <span class="n">tf</span><span class="o">.</span><span class="n">summary</span><span class="o">.</span><span class="n">trace_on</span><span class="p">(</span><span class="n">graph</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">profiler</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+        <span class="k">for</span> <span class="n">ib</span><span class="p">,</span> <span class="n">batch</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">batch_handler</span><span class="p">):</span>
+            <span class="n">trained_gen</span> <span class="o">=</span> <span class="kc">False</span>
+            <span class="n">trained_disc</span> <span class="o">=</span> <span class="kc">False</span>
+            <span class="n">b_loss_details</span> <span class="o">=</span> <span class="p">{}</span>
+            <span class="n">loss_disc</span> <span class="o">=</span> <span class="n">loss_details</span><span class="p">[</span><span class="s1">&#39;train_loss_disc&#39;</span><span class="p">]</span>
+            <span class="n">disc_too_good</span> <span class="o">=</span> <span class="n">loss_disc</span> <span class="o">&lt;=</span> <span class="n">disc_th_low</span>
+            <span class="n">disc_too_bad</span> <span class="o">=</span> <span class="p">(</span><span class="n">loss_disc</span> <span class="o">&gt;</span> <span class="n">disc_th_high</span><span class="p">)</span> <span class="ow">and</span> <span class="n">train_disc</span>
+            <span class="n">gen_too_good</span> <span class="o">=</span> <span class="n">disc_too_bad</span>
+
+            <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">generator_weights</span><span class="p">:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">init_weights</span><span class="p">(</span><span class="n">batch</span><span class="o">.</span><span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">batch</span><span class="o">.</span><span class="n">high_res</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+
+            <span class="k">if</span> <span class="n">only_gen</span> <span class="ow">or</span> <span class="p">(</span><span class="n">train_gen</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">gen_too_good</span><span class="p">):</span>
+                <span class="n">trained_gen</span> <span class="o">=</span> <span class="kc">True</span>
+                <span class="n">b_loss_details</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">timer</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">run_gradient_descent</span><span class="p">)(</span>
+                    <span class="n">batch</span><span class="o">.</span><span class="n">low_res</span><span class="p">,</span>
+                    <span class="n">batch</span><span class="o">.</span><span class="n">high_res</span><span class="p">,</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">generator_weights</span><span class="p">,</span>
+                    <span class="n">weight_gen_advers</span><span class="o">=</span><span class="n">weight_gen_advers</span><span class="p">,</span>
+                    <span class="n">optimizer</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="p">,</span>
+                    <span class="n">train_gen</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                    <span class="n">train_disc</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+                    <span class="n">multi_gpu</span><span class="o">=</span><span class="n">multi_gpu</span><span class="p">,</span>
+                <span class="p">)</span>
+
+            <span class="k">if</span> <span class="n">only_disc</span> <span class="ow">or</span> <span class="p">(</span><span class="n">train_disc</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">disc_too_good</span><span class="p">):</span>
+                <span class="n">trained_disc</span> <span class="o">=</span> <span class="kc">True</span>
+                <span class="n">b_loss_details</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">timer</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">run_gradient_descent</span><span class="p">)(</span>
+                    <span class="n">batch</span><span class="o">.</span><span class="n">low_res</span><span class="p">,</span>
+                    <span class="n">batch</span><span class="o">.</span><span class="n">high_res</span><span class="p">,</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">discriminator_weights</span><span class="p">,</span>
+                    <span class="n">weight_gen_advers</span><span class="o">=</span><span class="n">weight_gen_advers</span><span class="p">,</span>
+                    <span class="n">optimizer</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">optimizer_disc</span><span class="p">,</span>
+                    <span class="n">train_gen</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+                    <span class="n">train_disc</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                    <span class="n">multi_gpu</span><span class="o">=</span><span class="n">multi_gpu</span><span class="p">,</span>
+                <span class="p">)</span>
+
+            <span class="n">b_loss_details</span><span class="p">[</span><span class="s1">&#39;gen_trained_frac&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">trained_gen</span><span class="p">)</span>
+            <span class="n">b_loss_details</span><span class="p">[</span><span class="s1">&#39;disc_trained_frac&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">trained_disc</span><span class="p">)</span>
+
+            <span class="bp">self</span><span class="o">.</span><span class="n">dict_to_tensorboard</span><span class="p">(</span><span class="n">b_loss_details</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">dict_to_tensorboard</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">timer</span><span class="o">.</span><span class="n">log</span><span class="p">)</span>
+
+            <span class="n">loss_details</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">update_loss_details</span><span class="p">(</span>
+                <span class="n">loss_details</span><span class="p">,</span>
+                <span class="n">b_loss_details</span><span class="p">,</span>
+                <span class="n">batch_handler</span><span class="o">.</span><span class="n">batch_size</span><span class="p">,</span>
+                <span class="n">prefix</span><span class="o">=</span><span class="s1">&#39;train_&#39;</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                <span class="s1">&#39;Batch </span><span class="si">{}</span><span class="s1"> out of </span><span class="si">{}</span><span class="s1"> has epoch-average &#39;</span>
+                <span class="s1">&#39;(gen / disc) loss of: (</span><span class="si">{:.2e}</span><span class="s1"> / </span><span class="si">{:.2e}</span><span class="s1">). &#39;</span>
+                <span class="s1">&#39;Trained (gen / disc): (</span><span class="si">{}</span><span class="s1"> / </span><span class="si">{}</span><span class="s1">)&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="n">ib</span> <span class="o">+</span> <span class="mi">1</span><span class="p">,</span>
+                    <span class="nb">len</span><span class="p">(</span><span class="n">batch_handler</span><span class="p">),</span>
+                    <span class="n">loss_details</span><span class="p">[</span><span class="s1">&#39;train_loss_gen&#39;</span><span class="p">],</span>
+                    <span class="n">loss_details</span><span class="p">[</span><span class="s1">&#39;train_loss_disc&#39;</span><span class="p">],</span>
+                    <span class="n">trained_gen</span><span class="p">,</span>
+                    <span class="n">trained_disc</span><span class="p">,</span>
+                <span class="p">)</span>
+            <span class="p">)</span>
+            <span class="k">if</span> <span class="nb">all</span><span class="p">([</span><span class="ow">not</span> <span class="n">trained_gen</span><span class="p">,</span> <span class="ow">not</span> <span class="n">trained_disc</span><span class="p">]):</span>
+                <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="s1">&#39;For some reason none of the GAN networks trained &#39;</span>
+                    <span class="s1">&#39;during batch </span><span class="si">{}</span><span class="s1"> out of </span><span class="si">{}</span><span class="s1">!&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">ib</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">batch_handler</span><span class="p">))</span>
+                <span class="p">)</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">total_batches</span> <span class="o">+=</span> <span class="mi">1</span>
+
+        <span class="n">loss_details</span><span class="p">[</span><span class="s1">&#39;total_batches&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">total_batches</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">profile_to_tensorboard</span><span class="p">(</span><span class="s1">&#39;training_epoch&#39;</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">loss_details</span></div>
+
+
+<div class="viewcode-block" id="Sup3rGan.update_adversarial_weights">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.update_adversarial_weights">[docs]</a>
+    <span class="k">def</span> <span class="nf">update_adversarial_weights</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">history</span><span class="p">,</span>
+        <span class="n">adaptive_update_fraction</span><span class="p">,</span>
+        <span class="n">adaptive_update_bounds</span><span class="p">,</span>
+        <span class="n">weight_gen_advers</span><span class="p">,</span>
+        <span class="n">train_disc</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Update spatial / temporal adversarial loss weights based on training</span>
+<span class="sd">        fraction history.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        history : dict</span>
+<span class="sd">            Dictionary with information on how often discriminators</span>
+<span class="sd">            were trained during current and previous epochs.</span>
+<span class="sd">        adaptive_update_fraction : float</span>
+<span class="sd">            Amount by which to increase or decrease adversarial loss weights</span>
+<span class="sd">            for adaptive updates</span>
+<span class="sd">        adaptive_update_bounds : tuple</span>
+<span class="sd">            Tuple specifying allowed range for history[comparison_key]. If</span>
+<span class="sd">            history[comparison_key] &lt; update_bounds[0] then the weight will be</span>
+<span class="sd">            increased by (1 + update_frac). If history[comparison_key] &gt;</span>
+<span class="sd">            update_bounds[1] then the weight will be decreased by 1 / (1 +</span>
+<span class="sd">            update_frac).</span>
+<span class="sd">        weight_gen_advers : float</span>
+<span class="sd">            Weight factor for the adversarial loss component of the generator</span>
+<span class="sd">            vs. the discriminator.</span>
+<span class="sd">        train_disc : bool</span>
+<span class="sd">            Whether the discriminator was set to be trained during the</span>
+<span class="sd">            previous epoch</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        weight_gen_advers : float</span>
+<span class="sd">            Updated weight factor for the adversarial loss component of the</span>
+<span class="sd">            generator vs. the discriminator.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="n">adaptive_update_fraction</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="n">update_frac</span> <span class="o">=</span> <span class="mi">1</span>
+            <span class="k">if</span> <span class="n">train_disc</span><span class="p">:</span>
+                <span class="n">update_frac</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_weight_update_fraction</span><span class="p">(</span>
+                    <span class="n">history</span><span class="p">,</span>
+                    <span class="s1">&#39;train_disc_trained_frac&#39;</span><span class="p">,</span>
+                    <span class="n">update_frac</span><span class="o">=</span><span class="n">adaptive_update_fraction</span><span class="p">,</span>
+                    <span class="n">update_bounds</span><span class="o">=</span><span class="n">adaptive_update_bounds</span><span class="p">,</span>
+                <span class="p">)</span>
+                <span class="n">weight_gen_advers</span> <span class="o">*=</span> <span class="n">update_frac</span>
+
+            <span class="k">if</span> <span class="n">update_frac</span> <span class="o">!=</span> <span class="mi">1</span><span class="p">:</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                    <span class="sa">f</span><span class="s1">&#39;New discriminator weight: </span><span class="si">{</span><span class="n">weight_gen_advers</span><span class="si">:</span><span class="s1">.4e</span><span class="si">}</span><span class="s1">&#39;</span>
+                <span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">weight_gen_advers</span></div>
+
+
+<div class="viewcode-block" id="Sup3rGan.check_batch_handler_attrs">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.check_batch_handler_attrs">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">check_batch_handler_attrs</span><span class="p">(</span><span class="n">batch_handler</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Not all batch handlers have the following attributes. So we perform</span>
+<span class="sd">        some sanitation before sending to `set_model_params`&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">{</span>
+            <span class="n">k</span><span class="p">:</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">batch_handler</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+            <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="p">[</span>
+                <span class="s1">&#39;smoothing&#39;</span><span class="p">,</span>
+                <span class="s1">&#39;lr_features&#39;</span><span class="p">,</span>
+                <span class="s1">&#39;hr_exo_features&#39;</span><span class="p">,</span>
+                <span class="s1">&#39;hr_out_features&#39;</span><span class="p">,</span>
+                <span class="s1">&#39;smoothed_features&#39;</span><span class="p">,</span>
+            <span class="p">]</span>
+            <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">batch_handler</span><span class="p">,</span> <span class="n">k</span><span class="p">)</span>
+        <span class="p">}</span></div>
+
+
+<div class="viewcode-block" id="Sup3rGan.train">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.train">[docs]</a>
+    <span class="k">def</span> <span class="nf">train</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">batch_handler</span><span class="p">,</span>
+        <span class="n">input_resolution</span><span class="p">,</span>
+        <span class="n">n_epoch</span><span class="p">,</span>
+        <span class="n">weight_gen_advers</span><span class="o">=</span><span class="mf">0.001</span><span class="p">,</span>
+        <span class="n">train_gen</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+        <span class="n">train_disc</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+        <span class="n">disc_loss_bounds</span><span class="o">=</span><span class="p">(</span><span class="mf">0.45</span><span class="p">,</span> <span class="mf">0.6</span><span class="p">),</span>
+        <span class="n">checkpoint_int</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">out_dir</span><span class="o">=</span><span class="s1">&#39;./gan_</span><span class="si">{epoch}</span><span class="s1">&#39;</span><span class="p">,</span>
+        <span class="n">early_stop_on</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">early_stop_threshold</span><span class="o">=</span><span class="mf">0.005</span><span class="p">,</span>
+        <span class="n">early_stop_n_epoch</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span>
+        <span class="n">adaptive_update_bounds</span><span class="o">=</span><span class="p">(</span><span class="mf">0.9</span><span class="p">,</span> <span class="mf">0.99</span><span class="p">),</span>
+        <span class="n">adaptive_update_fraction</span><span class="o">=</span><span class="mf">0.0</span><span class="p">,</span>
+        <span class="n">multi_gpu</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+        <span class="n">tensorboard_log</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+        <span class="n">tensorboard_profile</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Train the GAN model on real low res data and real high res data</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        batch_handler : sup3r.preprocessing.BatchHandler</span>
+<span class="sd">            BatchHandler object to iterate through</span>
+<span class="sd">        input_resolution : dict</span>
+<span class="sd">            Dictionary specifying spatiotemporal input resolution. e.g.</span>
+<span class="sd">            {&#39;temporal&#39;: &#39;60min&#39;, &#39;spatial&#39;: &#39;30km&#39;}</span>
+<span class="sd">        n_epoch : int</span>
+<span class="sd">            Number of epochs to train on</span>
+<span class="sd">        weight_gen_advers : float</span>
+<span class="sd">            Weight factor for the adversarial loss component of the generator</span>
+<span class="sd">            vs. the discriminator.</span>
+<span class="sd">        train_gen : bool</span>
+<span class="sd">            Flag whether to train the generator for this set of epochs</span>
+<span class="sd">        train_disc : bool</span>
+<span class="sd">            Flag whether to train the discriminator for this set of epochs</span>
+<span class="sd">        disc_loss_bounds : tuple</span>
+<span class="sd">            Lower and upper bounds for the discriminator loss outside of which</span>
+<span class="sd">            the discriminator will not train unless train_disc=True and</span>
+<span class="sd">            train_gen=False.</span>
+<span class="sd">        checkpoint_int : int | None</span>
+<span class="sd">            Epoch interval at which to save checkpoint models.</span>
+<span class="sd">        out_dir : str</span>
+<span class="sd">            Directory to save checkpoint GAN models. Should have {epoch} in</span>
+<span class="sd">            the directory name. This directory will be created if it does not</span>
+<span class="sd">            already exist.</span>
+<span class="sd">        early_stop_on : str | None</span>
+<span class="sd">            If not None, this should be a column in the training history to</span>
+<span class="sd">            evaluate for early stopping (e.g. validation_loss_gen,</span>
+<span class="sd">            validation_loss_disc). If this value in this history decreases by</span>
+<span class="sd">            an absolute fractional relative difference of less than 0.01 for</span>
+<span class="sd">            more than 5 epochs in a row, the training will stop early.</span>
+<span class="sd">        early_stop_threshold : float</span>
+<span class="sd">            The absolute relative fractional difference in validation loss</span>
+<span class="sd">            between subsequent epochs below which an early termination is</span>
+<span class="sd">            warranted. E.g. if val losses were 0.1 and 0.0998 the relative</span>
+<span class="sd">            diff would be calculated as 0.0002 / 0.1 = 0.002 which would be</span>
+<span class="sd">            less than the default thresold of 0.01 and would satisfy the</span>
+<span class="sd">            condition for early termination.</span>
+<span class="sd">        early_stop_n_epoch : int</span>
+<span class="sd">            The number of consecutive epochs that satisfy the threshold that</span>
+<span class="sd">            warrants an early stop.</span>
+<span class="sd">        adaptive_update_bounds : tuple</span>
+<span class="sd">            Tuple specifying allowed range for loss_details[comparison_key]. If</span>
+<span class="sd">            history[comparison_key] &lt; threshold_range[0] then the weight will</span>
+<span class="sd">            be increased by (1 + update_frac). If history[comparison_key] &gt;</span>
+<span class="sd">            threshold_range[1] then the weight will be decreased by 1 / (1 +</span>
+<span class="sd">            update_frac).</span>
+<span class="sd">        adaptive_update_fraction : float</span>
+<span class="sd">            Amount by which to increase or decrease adversarial weights for</span>
+<span class="sd">            adaptive updates</span>
+<span class="sd">        multi_gpu : bool</span>
+<span class="sd">            Flag to break up the batch for parallel gradient descent</span>
+<span class="sd">            calculations on multiple gpus. If True and multiple GPUs are</span>
+<span class="sd">            present, each batch from the batch_handler will be divided up</span>
+<span class="sd">            between the GPUs and the resulting gradient from each GPU will</span>
+<span class="sd">            constitute a single gradient descent step with the nominal learning</span>
+<span class="sd">            rate that the model was initialized with. If true and multiple gpus</span>
+<span class="sd">            are found, default_device device should be set to /cpu:0</span>
+<span class="sd">        tensorboard_log : bool</span>
+<span class="sd">            Whether to write log file for use with tensorboard. Log data can</span>
+<span class="sd">            be viewed with ``tensorboard --logdir &lt;logdir&gt;`` where ``&lt;logdir&gt;``</span>
+<span class="sd">            is the parent directory of ``out_dir``, and pointing the browser to</span>
+<span class="sd">            the printed address.</span>
+<span class="sd">        tensorboard_profile : bool</span>
+<span class="sd">            Whether to export profiling information to tensorboard. This can</span>
+<span class="sd">            then be viewed in the tensorboard dashboard under the profile tab</span>
+
+<span class="sd">        TODO: (1) args here are getting excessive. Might be time for some</span>
+<span class="sd">        refactoring.</span>
+<span class="sd">        (2) cal_val_loss should be done in a separate thread from train_epoch</span>
+<span class="sd">        so they can be done concurrently. This would be especially important</span>
+<span class="sd">        for batch handlers which require val data, like dc handlers.</span>
+<span class="sd">        (3) Would like an automatic way to exit the batch handler thread</span>
+<span class="sd">        instead of manually calling .stop() here.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">tensorboard_log</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_init_tensorboard_writer</span><span class="p">(</span><span class="n">out_dir</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">tensorboard_profile</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_write_tb_profile</span> <span class="o">=</span> <span class="kc">True</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">set_norm_stats</span><span class="p">(</span><span class="n">batch_handler</span><span class="o">.</span><span class="n">means</span><span class="p">,</span> <span class="n">batch_handler</span><span class="o">.</span><span class="n">stds</span><span class="p">)</span>
+        <span class="n">params</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">check_batch_handler_attrs</span><span class="p">(</span><span class="n">batch_handler</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">set_model_params</span><span class="p">(</span>
+            <span class="n">input_resolution</span><span class="o">=</span><span class="n">input_resolution</span><span class="p">,</span>
+            <span class="n">s_enhance</span><span class="o">=</span><span class="n">batch_handler</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">,</span>
+            <span class="n">t_enhance</span><span class="o">=</span><span class="n">batch_handler</span><span class="o">.</span><span class="n">t_enhance</span><span class="p">,</span>
+            <span class="o">**</span><span class="n">params</span><span class="p">,</span>
+        <span class="p">)</span>
+
+        <span class="n">epochs</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="n">n_epoch</span><span class="p">))</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_history</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_history</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;elapsed_time&#39;</span><span class="p">])</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_history</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="s1">&#39;epoch&#39;</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">epochs</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_history</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">values</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span>
+
+        <span class="n">t0</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;Training model with adversarial weight: </span><span class="si">{}</span><span class="s1"> &#39;</span>
+            <span class="s1">&#39;for </span><span class="si">{}</span><span class="s1"> epochs starting at epoch </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">weight_gen_advers</span><span class="p">,</span> <span class="n">n_epoch</span><span class="p">,</span> <span class="n">epochs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+
+        <span class="k">for</span> <span class="n">epoch</span> <span class="ow">in</span> <span class="n">epochs</span><span class="p">:</span>
+            <span class="n">loss_details</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">train_epoch</span><span class="p">(</span>
+                <span class="n">batch_handler</span><span class="p">,</span>
+                <span class="n">weight_gen_advers</span><span class="p">,</span>
+                <span class="n">train_gen</span><span class="p">,</span>
+                <span class="n">train_disc</span><span class="p">,</span>
+                <span class="n">disc_loss_bounds</span><span class="p">,</span>
+                <span class="n">multi_gpu</span><span class="o">=</span><span class="n">multi_gpu</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="n">train_n_obs</span> <span class="o">=</span> <span class="n">loss_details</span><span class="p">[</span><span class="s1">&#39;n_obs&#39;</span><span class="p">]</span>
+            <span class="n">loss_details</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">calc_val_loss</span><span class="p">(</span>
+                <span class="n">batch_handler</span><span class="p">,</span> <span class="n">weight_gen_advers</span><span class="p">,</span> <span class="n">loss_details</span>
+            <span class="p">)</span>
+            <span class="n">val_n_obs</span> <span class="o">=</span> <span class="n">loss_details</span><span class="p">[</span><span class="s1">&#39;n_obs&#39;</span><span class="p">]</span>
+
+            <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;Epoch </span><span class="si">{</span><span class="n">epoch</span><span class="si">}</span><span class="s1"> of </span><span class="si">{</span><span class="n">epochs</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="si">}</span><span class="s1"> &#39;</span>
+            <span class="n">msg</span> <span class="o">+=</span> <span class="s1">&#39;gen/disc train loss: </span><span class="si">{:.2e}</span><span class="s1">/</span><span class="si">{:.2e}</span><span class="s1"> &#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">loss_details</span><span class="p">[</span><span class="s1">&#39;train_loss_gen&#39;</span><span class="p">],</span> <span class="n">loss_details</span><span class="p">[</span><span class="s1">&#39;train_loss_disc&#39;</span><span class="p">]</span>
+            <span class="p">)</span>
+
+            <span class="n">check1</span> <span class="o">=</span> <span class="s1">&#39;val_loss_gen&#39;</span> <span class="ow">in</span> <span class="n">loss_details</span>
+            <span class="n">check2</span> <span class="o">=</span> <span class="s1">&#39;val_loss_disc&#39;</span> <span class="ow">in</span> <span class="n">loss_details</span>
+            <span class="k">if</span> <span class="n">check1</span> <span class="ow">and</span> <span class="n">check2</span><span class="p">:</span>
+                <span class="n">msg</span> <span class="o">+=</span> <span class="s1">&#39;gen/disc val loss: </span><span class="si">{:.2e}</span><span class="s1">/</span><span class="si">{:.2e}</span><span class="s1"> &#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="n">loss_details</span><span class="p">[</span><span class="s1">&#39;val_loss_gen&#39;</span><span class="p">],</span> <span class="n">loss_details</span><span class="p">[</span><span class="s1">&#39;val_loss_disc&#39;</span><span class="p">]</span>
+                <span class="p">)</span>
+
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+            <span class="n">extras</span> <span class="o">=</span> <span class="p">{</span>
+                <span class="s1">&#39;train_n_obs&#39;</span><span class="p">:</span> <span class="n">train_n_obs</span><span class="p">,</span>
+                <span class="s1">&#39;val_n_obs&#39;</span><span class="p">:</span> <span class="n">val_n_obs</span><span class="p">,</span>
+                <span class="s1">&#39;weight_gen_advers&#39;</span><span class="p">:</span> <span class="n">weight_gen_advers</span><span class="p">,</span>
+                <span class="s1">&#39;disc_loss_bound_0&#39;</span><span class="p">:</span> <span class="n">disc_loss_bounds</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
+                <span class="s1">&#39;disc_loss_bound_1&#39;</span><span class="p">:</span> <span class="n">disc_loss_bounds</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span>
+            <span class="p">}</span>
+
+            <span class="n">opt_g</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_optimizer_state</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="p">)</span>
+            <span class="n">opt_d</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_optimizer_state</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">optimizer_disc</span><span class="p">)</span>
+            <span class="n">opt_g</span> <span class="o">=</span> <span class="p">{</span><span class="sa">f</span><span class="s1">&#39;OptmGen/</span><span class="si">{</span><span class="n">key</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">:</span> <span class="n">val</span> <span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">val</span> <span class="ow">in</span> <span class="n">opt_g</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
+            <span class="n">opt_d</span> <span class="o">=</span> <span class="p">{</span><span class="sa">f</span><span class="s1">&#39;OptmDisc/</span><span class="si">{</span><span class="n">key</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">:</span> <span class="n">val</span> <span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">val</span> <span class="ow">in</span> <span class="n">opt_d</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
+            <span class="n">extras</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">opt_g</span><span class="p">)</span>
+            <span class="n">extras</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">opt_d</span><span class="p">)</span>
+
+            <span class="n">weight_gen_advers</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">update_adversarial_weights</span><span class="p">(</span>
+                <span class="n">loss_details</span><span class="p">,</span>
+                <span class="n">adaptive_update_fraction</span><span class="p">,</span>
+                <span class="n">adaptive_update_bounds</span><span class="p">,</span>
+                <span class="n">weight_gen_advers</span><span class="p">,</span>
+                <span class="n">train_disc</span><span class="p">,</span>
+            <span class="p">)</span>
+
+            <span class="n">stop</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">finish_epoch</span><span class="p">(</span>
+                <span class="n">epoch</span><span class="p">,</span>
+                <span class="n">epochs</span><span class="p">,</span>
+                <span class="n">t0</span><span class="p">,</span>
+                <span class="n">loss_details</span><span class="p">,</span>
+                <span class="n">checkpoint_int</span><span class="p">,</span>
+                <span class="n">out_dir</span><span class="p">,</span>
+                <span class="n">early_stop_on</span><span class="p">,</span>
+                <span class="n">early_stop_threshold</span><span class="p">,</span>
+                <span class="n">early_stop_n_epoch</span><span class="p">,</span>
+                <span class="n">extras</span><span class="o">=</span><span class="n">extras</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="k">if</span> <span class="n">stop</span><span class="p">:</span>
+                <span class="k">break</span>
+
+        <span class="n">batch_handler</span><span class="o">.</span><span class="n">stop</span><span class="p">()</span></div>
+</div>
+
+</pre></div>
+
+                </article>
+              
+
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diff --git a/_modules/sup3r/models/conditional.html b/_modules/sup3r/models/conditional.html
new file mode 100644
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+                  
+  <h1>Source code for sup3r.models.conditional</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Sup3r conditional moment model software&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">pprint</span>
+<span class="kn">import</span> <span class="nn">time</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">tensorflow</span> <span class="k">as</span> <span class="nn">tf</span>
+<span class="kn">from</span> <span class="nn">tensorflow.keras</span> <span class="kn">import</span> <span class="n">optimizers</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.utilities</span> <span class="kn">import</span> <span class="n">VERSION_RECORD</span>
+
+<span class="kn">from</span> <span class="nn">.abstract</span> <span class="kn">import</span> <span class="n">AbstractInterface</span><span class="p">,</span> <span class="n">AbstractSingleModel</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="Sup3rCondMom">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom">[docs]</a>
+<span class="k">class</span> <span class="nc">Sup3rCondMom</span><span class="p">(</span><span class="n">AbstractSingleModel</span><span class="p">,</span> <span class="n">AbstractInterface</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Basic Sup3r conditional moments model.&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">gen_layers</span><span class="p">,</span>
+        <span class="n">optimizer</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">learning_rate</span><span class="o">=</span><span class="mf">1e-4</span><span class="p">,</span>
+        <span class="n">num_par</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">history</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">meta</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">means</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">stdevs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">default_device</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">name</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        gen_layers : list | str</span>
+<span class="sd">            Hidden layers input argument to phygnn.base.CustomNetwork for the</span>
+<span class="sd">            generative super resolving model. Can also be a str filepath to a</span>
+<span class="sd">            .json config file containing the input layers argument or a .pkl</span>
+<span class="sd">            for a saved pre-trained model.</span>
+<span class="sd">        optimizer : tf.keras.optimizers.Optimizer | dict | None | str</span>
+<span class="sd">            Instantiated tf.keras.optimizers object or a dict optimizer config</span>
+<span class="sd">            from tf.keras.optimizers.get_config(). None defaults to Adam.</span>
+<span class="sd">        learning_rate : float, optional</span>
+<span class="sd">            Optimizer learning rate. Not used if optimizer input arg is a</span>
+<span class="sd">            pre-initialized object or if optimizer input arg is a config dict.</span>
+<span class="sd">        num_par : int | None</span>
+<span class="sd">            Number of trainable parameters in the model</span>
+<span class="sd">        history : pd.DataFrame | str | None</span>
+<span class="sd">            Model training history with &quot;epoch&quot; index, str pointing to a saved</span>
+<span class="sd">            history csv file with &quot;epoch&quot; as first column, or None for clean</span>
+<span class="sd">            history</span>
+<span class="sd">        meta : dict | None</span>
+<span class="sd">            Model meta data that describes how the model was created.</span>
+<span class="sd">        means : dict | None</span>
+<span class="sd">            Set of mean values for data normalization keyed by feature name.</span>
+<span class="sd">            Can be used to maintain a consistent normalization scheme between</span>
+<span class="sd">            transfer learning domains.</span>
+<span class="sd">        stdevs : dict | None</span>
+<span class="sd">            Set of stdev values for data normalization keyed by feature name.</span>
+<span class="sd">            Can be used to maintain a consistent normalization scheme between</span>
+<span class="sd">            transfer learning domains.</span>
+<span class="sd">        default_device : str | None</span>
+<span class="sd">            Option for default device placement of model weights. If None and a</span>
+<span class="sd">            single GPU exists, that GPU will be the default device. If None and</span>
+<span class="sd">            multiple GPUs exist, the CPU will be the default device (this was</span>
+<span class="sd">            tested as most efficient given the custom multi-gpu strategy</span>
+<span class="sd">            developed in self.run_gradient_descent())</span>
+<span class="sd">        name : str | None</span>
+<span class="sd">            Optional name for the model.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">default_device</span> <span class="o">=</span> <span class="n">default_device</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">default_device</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">gpu_list</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">default_device</span> <span class="o">=</span> <span class="s1">&#39;/gpu:0&#39;</span>
+        <span class="k">elif</span> <span class="bp">self</span><span class="o">.</span><span class="n">default_device</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">gpu_list</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">default_device</span> <span class="o">=</span> <span class="s1">&#39;/cpu:0&#39;</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="n">name</span> <span class="k">if</span> <span class="n">name</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_meta</span> <span class="o">=</span> <span class="n">meta</span> <span class="k">if</span> <span class="n">meta</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="p">{}</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_num_par</span> <span class="o">=</span> <span class="n">num_par</span> <span class="k">if</span> <span class="n">num_par</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="mi">0</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">loss_name</span> <span class="o">=</span> <span class="s1">&#39;MeanSquaredError&#39;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">loss_fun</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_loss_fun</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">loss_name</span><span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">_history</span> <span class="o">=</span> <span class="n">history</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_history</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_history</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_history</span><span class="p">,</span> <span class="n">index_col</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">_optimizer</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">init_optimizer</span><span class="p">(</span><span class="n">optimizer</span><span class="p">,</span> <span class="n">learning_rate</span><span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">_gen</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">load_network</span><span class="p">(</span><span class="n">gen_layers</span><span class="p">,</span> <span class="s1">&#39;generator&#39;</span><span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">_means</span> <span class="o">=</span> <span class="n">means</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_stdevs</span> <span class="o">=</span> <span class="n">stdevs</span>
+
+<div class="viewcode-block" id="Sup3rCondMom.save">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.save">[docs]</a>
+    <span class="k">def</span> <span class="nf">save</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">out_dir</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Save the model with its sub-networks to a directory.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        out_dir : str</span>
+<span class="sd">            Directory to save model files. This directory will be created</span>
+<span class="sd">            if it does not already exist.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">out_dir</span><span class="p">):</span>
+            <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">out_dir</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+        <span class="n">fp_gen</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">out_dir</span><span class="p">,</span> <span class="s1">&#39;model_gen.pkl&#39;</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">generator</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">fp_gen</span><span class="p">)</span>
+
+        <span class="n">fp_history</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">history</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">):</span>
+            <span class="n">fp_history</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">out_dir</span><span class="p">,</span> <span class="s1">&#39;history.csv&#39;</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">history</span><span class="o">.</span><span class="n">to_csv</span><span class="p">(</span><span class="n">fp_history</span><span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">save_params</span><span class="p">(</span><span class="n">out_dir</span><span class="p">)</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Saved model to disk in directory: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">out_dir</span><span class="p">))</span></div>
+
+
+<div class="viewcode-block" id="Sup3rCondMom.load">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.load">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">model_dir</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Load the model with its sub-networks from a previously saved-to</span>
+<span class="sd">        output directory.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        model_dir : str</span>
+<span class="sd">            Directory to load model files from.</span>
+<span class="sd">        verbose : bool</span>
+<span class="sd">            Flag to log information about the loaded model.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out : BaseModel</span>
+<span class="sd">            Returns a pretrained gan model that was previously saved to out_dir</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="s1">&#39;Loading model from disk in directory: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">model_dir</span><span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;Active python environment versions: </span><span class="se">\n</span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">pprint</span><span class="o">.</span><span class="n">pformat</span><span class="p">(</span><span class="n">VERSION_RECORD</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="n">fp_gen</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">model_dir</span><span class="p">,</span> <span class="s1">&#39;model_gen.pkl&#39;</span><span class="p">)</span>
+        <span class="n">params</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">load_saved_params</span><span class="p">(</span><span class="n">model_dir</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">cls</span><span class="p">(</span><span class="n">fp_gen</span><span class="p">,</span> <span class="o">**</span><span class="n">params</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Sup3rCondMom.update_optimizer">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.update_optimizer">[docs]</a>
+    <span class="k">def</span> <span class="nf">update_optimizer</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Update optimizer by changing current configuration</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        kwargs : dict</span>
+<span class="sd">            kwargs to use for optimizer configuration update</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">conf</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_optimizer_config</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="p">)</span>
+        <span class="n">conf</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+        <span class="n">OptimizerClass</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">optimizers</span><span class="p">,</span> <span class="n">conf</span><span class="p">[</span><span class="s1">&#39;name&#39;</span><span class="p">])</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_optimizer</span> <span class="o">=</span> <span class="n">OptimizerClass</span><span class="o">.</span><span class="n">from_config</span><span class="p">(</span><span class="n">conf</span><span class="p">)</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">meta</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get meta data dictionary that defines how the model was created&quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="s1">&#39;class&#39;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_meta</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_meta</span><span class="p">[</span><span class="s1">&#39;class&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span>
+
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_meta</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">model_params</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Model parameters, used to save model to disc</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        dict</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">config_optm_g</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_optimizer_config</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="p">)</span>
+
+        <span class="n">num_par</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span>
+            <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">([</span><span class="n">np</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="n">v</span><span class="o">.</span><span class="n">get_shape</span><span class="p">()</span><span class="o">.</span><span class="n">as_list</span><span class="p">())</span> <span class="k">for</span> <span class="n">v</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">weights</span><span class="p">])</span>
+        <span class="p">)</span>
+
+        <span class="n">means</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_means</span>
+        <span class="n">stdevs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_stdevs</span>
+        <span class="k">if</span> <span class="n">means</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">stdevs</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">means</span> <span class="o">=</span> <span class="p">{</span><span class="n">k</span><span class="p">:</span> <span class="nb">float</span><span class="p">(</span><span class="n">v</span><span class="p">)</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">means</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
+            <span class="n">stdevs</span> <span class="o">=</span> <span class="p">{</span><span class="n">k</span><span class="p">:</span> <span class="nb">float</span><span class="p">(</span><span class="n">v</span><span class="p">)</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">stdevs</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
+
+        <span class="n">model_params</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="s1">&#39;name&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">name</span><span class="p">,</span>
+            <span class="s1">&#39;num_par&#39;</span><span class="p">:</span> <span class="n">num_par</span><span class="p">,</span>
+            <span class="s1">&#39;version_record&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">version_record</span><span class="p">,</span>
+            <span class="s1">&#39;optimizer&#39;</span><span class="p">:</span> <span class="n">config_optm_g</span><span class="p">,</span>
+            <span class="s1">&#39;means&#39;</span><span class="p">:</span> <span class="n">means</span><span class="p">,</span>
+            <span class="s1">&#39;stdevs&#39;</span><span class="p">:</span> <span class="n">stdevs</span><span class="p">,</span>
+            <span class="s1">&#39;meta&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="p">,</span>
+        <span class="p">}</span>
+
+        <span class="k">return</span> <span class="n">model_params</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">weights</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a list of all the layer weights and bias terms for the</span>
+<span class="sd">        generator network</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">generator_weights</span>
+
+<div class="viewcode-block" id="Sup3rCondMom.calc_loss_cond_mom">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.calc_loss_cond_mom">[docs]</a>
+    <span class="nd">@tf</span><span class="o">.</span><span class="n">function</span>
+    <span class="k">def</span> <span class="nf">calc_loss_cond_mom</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">output_true</span><span class="p">,</span> <span class="n">output_gen</span><span class="p">,</span> <span class="n">mask</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate the loss of the moment predictor</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        output_true : tf.Tensor</span>
+<span class="sd">            True realization output</span>
+<span class="sd">        output_gen : tf.Tensor</span>
+<span class="sd">            Predicted realization output</span>
+<span class="sd">        mask : tf.Tensor</span>
+<span class="sd">            Mask to apply</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        loss : tf.Tensor</span>
+<span class="sd">            0D tensor generator model loss for the MSE loss of the</span>
+<span class="sd">            moment predictor</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">loss</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">loss_fun</span><span class="p">(</span><span class="n">output_true</span> <span class="o">*</span> <span class="n">mask</span><span class="p">,</span> <span class="n">output_gen</span> <span class="o">*</span> <span class="n">mask</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">loss</span></div>
+
+
+<div class="viewcode-block" id="Sup3rCondMom.calc_loss">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.calc_loss">[docs]</a>
+    <span class="k">def</span> <span class="nf">calc_loss</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">output_true</span><span class="p">,</span> <span class="n">output_gen</span><span class="p">,</span> <span class="n">mask</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate the total moment predictor loss</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        output_true : tf.Tensor</span>
+<span class="sd">            True realization output</span>
+<span class="sd">        output_gen : tf.Tensor</span>
+<span class="sd">            Predicted realization output</span>
+<span class="sd">        mask : tf.Tensor</span>
+<span class="sd">            Mask to apply</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        loss : tf.Tensor</span>
+<span class="sd">            0D tensor representing the loss value for the</span>
+<span class="sd">            moment predictor</span>
+<span class="sd">        loss_details : dict</span>
+<span class="sd">            Namespace of the breakdown of loss components</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">output_gen</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_combine_loss_input</span><span class="p">(</span><span class="n">output_true</span><span class="p">,</span> <span class="n">output_gen</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">output_gen</span><span class="o">.</span><span class="n">shape</span> <span class="o">!=</span> <span class="n">output_true</span><span class="o">.</span><span class="n">shape</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;The tensor shapes of the synthetic output </span><span class="si">{}</span><span class="s1"> and &#39;</span>
+                <span class="s1">&#39;true output </span><span class="si">{}</span><span class="s1"> did not have matching shape! &#39;</span>
+                <span class="s1">&#39;Check the spatiotemporal enhancement multipliers in your &#39;</span>
+                <span class="s1">&#39;your model config and data handlers.&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="n">output_gen</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">output_true</span><span class="o">.</span><span class="n">shape</span>
+                <span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="n">loss</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">calc_loss_cond_mom</span><span class="p">(</span><span class="n">output_true</span><span class="p">,</span> <span class="n">output_gen</span><span class="p">,</span> <span class="n">mask</span><span class="p">)</span>
+
+        <span class="n">loss_details</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;loss_gen&#39;</span><span class="p">:</span> <span class="n">loss</span><span class="p">}</span>
+
+        <span class="k">return</span> <span class="n">loss</span><span class="p">,</span> <span class="n">loss_details</span></div>
+
+
+<div class="viewcode-block" id="Sup3rCondMom.calc_val_loss">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.calc_val_loss">[docs]</a>
+    <span class="k">def</span> <span class="nf">calc_val_loss</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch_handler</span><span class="p">,</span> <span class="n">loss_details</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate the validation loss at the current state of model training</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        batch_handler : sup3r.preprocessing.BatchHandler</span>
+<span class="sd">            BatchHandler object to iterate through</span>
+<span class="sd">        loss_details : dict</span>
+<span class="sd">            Namespace of the breakdown of loss components</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        loss_details : dict</span>
+<span class="sd">            Same as input but now includes val_* loss info</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Starting end-of-epoch validation loss calculation...&#39;</span><span class="p">)</span>
+        <span class="n">loss_details</span><span class="p">[</span><span class="s1">&#39;n_obs&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+        <span class="k">for</span> <span class="n">val_batch</span> <span class="ow">in</span> <span class="n">batch_handler</span><span class="o">.</span><span class="n">val_data</span><span class="p">:</span>
+            <span class="n">val_exo_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_high_res_exo_input</span><span class="p">(</span><span class="n">val_batch</span><span class="o">.</span><span class="n">high_res</span><span class="p">)</span>
+            <span class="n">output_gen</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_tf_generate</span><span class="p">(</span><span class="n">val_batch</span><span class="o">.</span><span class="n">low_res</span><span class="p">,</span> <span class="n">val_exo_data</span><span class="p">)</span>
+            <span class="n">_</span><span class="p">,</span> <span class="n">v_loss_details</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">calc_loss</span><span class="p">(</span>
+                <span class="n">val_batch</span><span class="o">.</span><span class="n">output</span><span class="p">,</span> <span class="n">output_gen</span><span class="p">,</span> <span class="n">val_batch</span><span class="o">.</span><span class="n">mask</span>
+            <span class="p">)</span>
+
+            <span class="n">loss_details</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">update_loss_details</span><span class="p">(</span>
+                <span class="n">loss_details</span><span class="p">,</span> <span class="n">v_loss_details</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">val_batch</span><span class="p">),</span> <span class="n">prefix</span><span class="o">=</span><span class="s1">&#39;val_&#39;</span>
+            <span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">loss_details</span></div>
+
+
+<div class="viewcode-block" id="Sup3rCondMom.train_epoch">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.train_epoch">[docs]</a>
+    <span class="k">def</span> <span class="nf">train_epoch</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch_handler</span><span class="p">,</span> <span class="n">multi_gpu</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Train the model for one epoch.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        batch_handler : sup3r.preprocessing.BatchHandler</span>
+<span class="sd">            BatchHandler object to iterate through</span>
+<span class="sd">        multi_gpu : bool</span>
+<span class="sd">            Flag to break up the batch for parallel gradient descent</span>
+<span class="sd">            calculations on multiple gpus. If True and multiple GPUs are</span>
+<span class="sd">            present, each batch from the batch_handler will be divided up</span>
+<span class="sd">            between the GPUs and the resulting gradient from each GPU will</span>
+<span class="sd">            constitute a single gradient descent step with the nominal learning</span>
+<span class="sd">            rate that the model was initialized with.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        loss_details : dict</span>
+<span class="sd">            Namespace of the breakdown of loss components</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">loss_details</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;n_obs&#39;</span><span class="p">:</span> <span class="mi">0</span><span class="p">}</span>
+
+        <span class="k">for</span> <span class="n">ib</span><span class="p">,</span> <span class="n">batch</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">batch_handler</span><span class="p">):</span>
+            <span class="n">b_loss_details</span> <span class="o">=</span> <span class="p">{}</span>
+            <span class="n">b_loss_details</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">run_gradient_descent</span><span class="p">(</span>
+                <span class="n">batch</span><span class="o">.</span><span class="n">low_res</span><span class="p">,</span>
+                <span class="n">batch</span><span class="o">.</span><span class="n">output</span><span class="p">,</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">generator_weights</span><span class="p">,</span>
+                <span class="n">optimizer</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="p">,</span>
+                <span class="n">multi_gpu</span><span class="o">=</span><span class="n">multi_gpu</span><span class="p">,</span>
+                <span class="n">mask</span><span class="o">=</span><span class="n">batch</span><span class="o">.</span><span class="n">mask</span><span class="p">,</span>
+            <span class="p">)</span>
+
+            <span class="n">loss_details</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">update_loss_details</span><span class="p">(</span>
+                <span class="n">loss_details</span><span class="p">,</span>
+                <span class="n">b_loss_details</span><span class="p">,</span>
+                <span class="n">batch_handler</span><span class="o">.</span><span class="n">batch_size</span><span class="p">,</span>
+                <span class="n">prefix</span><span class="o">=</span><span class="s1">&#39;train_&#39;</span><span class="p">,</span>
+            <span class="p">)</span>
+
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                <span class="s1">&#39;Batch </span><span class="si">{}</span><span class="s1"> out of </span><span class="si">{}</span><span class="s1"> has epoch-average &#39;</span>
+                <span class="s1">&#39;gen loss of: </span><span class="si">{:.2e}</span><span class="s1">. &#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="n">ib</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">batch_handler</span><span class="p">),</span> <span class="n">loss_details</span><span class="p">[</span><span class="s1">&#39;train_loss_gen&#39;</span><span class="p">]</span>
+                <span class="p">)</span>
+            <span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">loss_details</span></div>
+
+
+<div class="viewcode-block" id="Sup3rCondMom.train">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.train">[docs]</a>
+    <span class="k">def</span> <span class="nf">train</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">batch_handler</span><span class="p">,</span>
+        <span class="n">input_resolution</span><span class="p">,</span>
+        <span class="n">n_epoch</span><span class="p">,</span>
+        <span class="n">checkpoint_int</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">out_dir</span><span class="o">=</span><span class="s1">&#39;./condMom_</span><span class="si">{epoch}</span><span class="s1">&#39;</span><span class="p">,</span>
+        <span class="n">early_stop_on</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">early_stop_threshold</span><span class="o">=</span><span class="mf">0.005</span><span class="p">,</span>
+        <span class="n">early_stop_n_epoch</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span>
+        <span class="n">multi_gpu</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+        <span class="n">tensorboard_log</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Train the model on real low res data and real high res data</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        batch_handler : sup3r.preprocessing.BatchHandler</span>
+<span class="sd">            BatchHandler object to iterate through</span>
+<span class="sd">        input_resolution : dict</span>
+<span class="sd">            Dictionary specifying spatiotemporal input resolution. e.g.</span>
+<span class="sd">            {&#39;temporal&#39;: &#39;60min&#39;, &#39;spatial&#39;: &#39;30km&#39;}</span>
+<span class="sd">        n_epoch : int</span>
+<span class="sd">            Number of epochs to train on</span>
+<span class="sd">        checkpoint_int : int | None</span>
+<span class="sd">            Epoch interval at which to save checkpoint models.</span>
+<span class="sd">        out_dir : str</span>
+<span class="sd">            Directory to save checkpoint models. Should have {epoch} in</span>
+<span class="sd">            the directory name. This directory will be created if it does not</span>
+<span class="sd">            already exist.</span>
+<span class="sd">        early_stop_on : str | None</span>
+<span class="sd">            If not None, this should be a column in the training history to</span>
+<span class="sd">            evaluate for early stopping (e.g. validation_loss_gen).</span>
+<span class="sd">            If this value in this history decreases by</span>
+<span class="sd">            an absolute fractional relative difference of less than 0.01 for</span>
+<span class="sd">            more than 5 epochs in a row, the training will stop early.</span>
+<span class="sd">        early_stop_threshold : float</span>
+<span class="sd">            The absolute relative fractional difference in validation loss</span>
+<span class="sd">            between subsequent epochs below which an early termination is</span>
+<span class="sd">            warranted. E.g. if val losses were 0.1 and 0.0998 the relative</span>
+<span class="sd">            diff would be calculated as 0.0002 / 0.1 = 0.002 which would be</span>
+<span class="sd">            less than the default thresold of 0.01 and would satisfy the</span>
+<span class="sd">            condition for early termination.</span>
+<span class="sd">        early_stop_n_epoch : int</span>
+<span class="sd">            The number of consecutive epochs that satisfy the threshold that</span>
+<span class="sd">            warrants an early stop.</span>
+<span class="sd">        multi_gpu : bool</span>
+<span class="sd">            Flag to break up the batch for parallel gradient descent</span>
+<span class="sd">            calculations on multiple gpus. If True and multiple GPUs are</span>
+<span class="sd">            present, each batch from the batch_handler will be divided up</span>
+<span class="sd">            between the GPUs and the resulting gradient from each GPU will</span>
+<span class="sd">            constitute a single gradient descent step with the nominal learning</span>
+<span class="sd">            rate that the model was initialized with.</span>
+<span class="sd">        tensorboard_log : bool</span>
+<span class="sd">            Whether to write log file for use with tensorboard. Log data can</span>
+<span class="sd">            be viewed with ``tensorboard --logdir &lt;logdir&gt;`` where ``&lt;logdir&gt;``</span>
+<span class="sd">            is the parent directory of ``out_dir``, and pointing the browser to</span>
+<span class="sd">            the printed address.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">tensorboard_log</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_init_tensorboard_writer</span><span class="p">(</span><span class="n">out_dir</span><span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">set_norm_stats</span><span class="p">(</span><span class="n">batch_handler</span><span class="o">.</span><span class="n">means</span><span class="p">,</span> <span class="n">batch_handler</span><span class="o">.</span><span class="n">stds</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">set_model_params</span><span class="p">(</span>
+            <span class="n">input_resolution</span><span class="o">=</span><span class="n">input_resolution</span><span class="p">,</span>
+            <span class="n">s_enhance</span><span class="o">=</span><span class="n">batch_handler</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">,</span>
+            <span class="n">t_enhance</span><span class="o">=</span><span class="n">batch_handler</span><span class="o">.</span><span class="n">t_enhance</span><span class="p">,</span>
+            <span class="n">smoothing</span><span class="o">=</span><span class="n">batch_handler</span><span class="o">.</span><span class="n">smoothing</span><span class="p">,</span>
+            <span class="n">lr_features</span><span class="o">=</span><span class="n">batch_handler</span><span class="o">.</span><span class="n">lr_features</span><span class="p">,</span>
+            <span class="n">hr_exo_features</span><span class="o">=</span><span class="n">batch_handler</span><span class="o">.</span><span class="n">hr_exo_features</span><span class="p">,</span>
+            <span class="n">hr_out_features</span><span class="o">=</span><span class="n">batch_handler</span><span class="o">.</span><span class="n">hr_out_features</span><span class="p">,</span>
+            <span class="n">smoothed_features</span><span class="o">=</span><span class="n">batch_handler</span><span class="o">.</span><span class="n">smoothed_features</span><span class="p">,</span>
+        <span class="p">)</span>
+
+        <span class="n">epochs</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="n">n_epoch</span><span class="p">))</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_history</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_history</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;elapsed_time&#39;</span><span class="p">])</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_history</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="s1">&#39;epoch&#39;</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">epochs</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_history</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">values</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span>
+
+        <span class="n">t0</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;Training model &#39;</span> <span class="s1">&#39;for </span><span class="si">{}</span><span class="s1"> epochs starting at epoch </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">n_epoch</span><span class="p">,</span> <span class="n">epochs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+
+        <span class="k">for</span> <span class="n">epoch</span> <span class="ow">in</span> <span class="n">epochs</span><span class="p">:</span>
+            <span class="n">loss_details</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">train_epoch</span><span class="p">(</span><span class="n">batch_handler</span><span class="p">,</span> <span class="n">multi_gpu</span><span class="o">=</span><span class="n">multi_gpu</span><span class="p">)</span>
+
+            <span class="n">loss_details</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">calc_val_loss</span><span class="p">(</span><span class="n">batch_handler</span><span class="p">,</span> <span class="n">loss_details</span><span class="p">)</span>
+
+            <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;Epoch </span><span class="si">{</span><span class="n">epoch</span><span class="si">}</span><span class="s1"> of </span><span class="si">{</span><span class="n">epochs</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="si">}</span><span class="s1"> &#39;</span>
+            <span class="n">msg</span> <span class="o">+=</span> <span class="s1">&#39;gen train loss: </span><span class="si">{:.2e}</span><span class="s1"> &#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">loss_details</span><span class="p">[</span><span class="s1">&#39;train_loss_gen&#39;</span><span class="p">]</span>
+            <span class="p">)</span>
+
+            <span class="k">if</span> <span class="nb">all</span><span class="p">(</span><span class="n">loss</span> <span class="ow">in</span> <span class="n">loss_details</span> <span class="k">for</span> <span class="n">loss</span> <span class="ow">in</span> <span class="p">[</span><span class="s1">&#39;val_loss_gen&#39;</span><span class="p">]):</span>
+                <span class="n">msg</span> <span class="o">+=</span> <span class="s1">&#39;gen val loss: </span><span class="si">{:.2e}</span><span class="s1"> &#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="n">loss_details</span><span class="p">[</span><span class="s1">&#39;val_loss_gen&#39;</span><span class="p">]</span>
+                <span class="p">)</span>
+
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+            <span class="n">lr_g</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_optimizer_config</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="p">)[</span><span class="s1">&#39;learning_rate&#39;</span><span class="p">]</span>
+
+            <span class="n">extras</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;learning_rate_gen&#39;</span><span class="p">:</span> <span class="n">lr_g</span><span class="p">}</span>
+
+            <span class="n">stop</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">finish_epoch</span><span class="p">(</span>
+                <span class="n">epoch</span><span class="p">,</span>
+                <span class="n">epochs</span><span class="p">,</span>
+                <span class="n">t0</span><span class="p">,</span>
+                <span class="n">loss_details</span><span class="p">,</span>
+                <span class="n">checkpoint_int</span><span class="p">,</span>
+                <span class="n">out_dir</span><span class="p">,</span>
+                <span class="n">early_stop_on</span><span class="p">,</span>
+                <span class="n">early_stop_threshold</span><span class="p">,</span>
+                <span class="n">early_stop_n_epoch</span><span class="p">,</span>
+                <span class="n">extras</span><span class="o">=</span><span class="n">extras</span><span class="p">,</span>
+            <span class="p">)</span>
+
+            <span class="k">if</span> <span class="n">stop</span><span class="p">:</span>
+                <span class="k">break</span>
+        <span class="n">batch_handler</span><span class="o">.</span><span class="n">stop</span><span class="p">()</span></div>
+</div>
+
+</pre></div>
+
+                </article>
+              
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+    <h1></h1>
+    <!-- Table of contents -->
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+                <article class="bd-article">
+                  
+  <h1>Source code for sup3r.models.dc</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Sup3r data-centric model software&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+<span class="kn">from</span> <span class="nn">.base</span> <span class="kn">import</span> <span class="n">Sup3rGan</span>
+
+<span class="n">np</span><span class="o">.</span><span class="n">set_printoptions</span><span class="p">(</span><span class="n">precision</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="Sup3rGanDC">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC">[docs]</a>
+<span class="k">class</span> <span class="nc">Sup3rGanDC</span><span class="p">(</span><span class="n">Sup3rGan</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Data-centric model using loss across time bins to select training</span>
+<span class="sd">    observations&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="Sup3rGanDC.calc_val_loss_gen">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.calc_val_loss_gen">[docs]</a>
+    <span class="k">def</span> <span class="nf">calc_val_loss_gen</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch_handler</span><span class="p">,</span> <span class="n">weight_gen_advers</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate the validation total loss across the validation</span>
+<span class="sd">        samples. e.g. If the sample domain has 100 steps and the</span>
+<span class="sd">        validation set has 10 bins then this will get a list of losses across</span>
+<span class="sd">        step 0 to 10, 10 to 20, etc.  Use this to determine performance</span>
+<span class="sd">        within bins and to update how observations are selected from these</span>
+<span class="sd">        bins.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        batch_handler : sup3r.preprocessing.BatchHandlerDC</span>
+<span class="sd">            BatchHandler object to iterate through</span>
+<span class="sd">        weight_gen_advers : float</span>
+<span class="sd">            Weight factor for the adversarial loss component of the generator</span>
+<span class="sd">            vs. the discriminator.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        array</span>
+<span class="sd">            Array of total losses for all sample bins, with shape</span>
+<span class="sd">            (n_space_bins, n_time_bins)</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">losses</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span>
+            <span class="p">(</span><span class="n">batch_handler</span><span class="o">.</span><span class="n">n_space_bins</span><span class="p">,</span> <span class="n">batch_handler</span><span class="o">.</span><span class="n">n_time_bins</span><span class="p">),</span>
+            <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">batch</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">batch_handler</span><span class="o">.</span><span class="n">val_data</span><span class="p">):</span>
+            <span class="n">exo_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_high_res_exo_input</span><span class="p">(</span><span class="n">batch</span><span class="o">.</span><span class="n">high_res</span><span class="p">)</span>
+            <span class="n">loss</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">calc_loss</span><span class="p">(</span>
+                <span class="n">hi_res_true</span><span class="o">=</span><span class="n">batch</span><span class="o">.</span><span class="n">high_res</span><span class="p">,</span>
+                <span class="n">hi_res_gen</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_tf_generate</span><span class="p">(</span><span class="n">batch</span><span class="o">.</span><span class="n">low_res</span><span class="p">,</span> <span class="n">exo_data</span><span class="p">),</span>
+                <span class="n">weight_gen_advers</span><span class="o">=</span><span class="n">weight_gen_advers</span><span class="p">,</span>
+                <span class="n">train_gen</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                <span class="n">train_disc</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="n">row</span> <span class="o">=</span> <span class="n">i</span> <span class="o">//</span> <span class="n">batch_handler</span><span class="o">.</span><span class="n">n_time_bins</span>
+            <span class="n">col</span> <span class="o">=</span> <span class="n">i</span> <span class="o">%</span> <span class="n">batch_handler</span><span class="o">.</span><span class="n">n_time_bins</span>
+            <span class="n">losses</span><span class="p">[</span><span class="n">row</span><span class="p">,</span> <span class="n">col</span><span class="p">]</span> <span class="o">=</span> <span class="n">loss</span>
+        <span class="k">return</span> <span class="n">losses</span></div>
+
+
+<div class="viewcode-block" id="Sup3rGanDC.calc_val_loss_gen_content">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.calc_val_loss_gen_content">[docs]</a>
+    <span class="k">def</span> <span class="nf">calc_val_loss_gen_content</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch_handler</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate the validation content loss across the validation</span>
+<span class="sd">        samples. e.g. If the sample domain has 100 steps and the</span>
+<span class="sd">        validation set has 10 bins then this will get a list of losses across</span>
+<span class="sd">        step 0 to 10, 10 to 20, etc.  Use this to determine performance</span>
+<span class="sd">        within bins and to update how observations are selected from these</span>
+<span class="sd">        bins.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        batch_handler : sup3r.preprocessing.BatchHandlerDC</span>
+<span class="sd">            BatchHandler object to iterate through</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        list</span>
+<span class="sd">            List of content losses for all sample bins</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">losses</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span>
+            <span class="p">(</span><span class="n">batch_handler</span><span class="o">.</span><span class="n">n_space_bins</span><span class="p">,</span> <span class="n">batch_handler</span><span class="o">.</span><span class="n">n_time_bins</span><span class="p">),</span>
+            <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">batch</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">batch_handler</span><span class="o">.</span><span class="n">val_data</span><span class="p">):</span>
+            <span class="n">exo_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_high_res_exo_input</span><span class="p">(</span><span class="n">batch</span><span class="o">.</span><span class="n">high_res</span><span class="p">)</span>
+            <span class="n">loss</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">calc_loss_gen_content</span><span class="p">(</span>
+                <span class="n">hi_res_true</span><span class="o">=</span><span class="n">batch</span><span class="o">.</span><span class="n">high_res</span><span class="p">,</span>
+                <span class="n">hi_res_gen</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_tf_generate</span><span class="p">(</span><span class="n">batch</span><span class="o">.</span><span class="n">low_res</span><span class="p">,</span> <span class="n">exo_data</span><span class="p">),</span>
+            <span class="p">)</span>
+            <span class="n">row</span> <span class="o">=</span> <span class="n">i</span> <span class="o">//</span> <span class="n">batch_handler</span><span class="o">.</span><span class="n">n_time_bins</span>
+            <span class="n">col</span> <span class="o">=</span> <span class="n">i</span> <span class="o">%</span> <span class="n">batch_handler</span><span class="o">.</span><span class="n">n_time_bins</span>
+            <span class="n">losses</span><span class="p">[</span><span class="n">row</span><span class="p">,</span> <span class="n">col</span><span class="p">]</span> <span class="o">=</span> <span class="n">loss</span>
+        <span class="k">return</span> <span class="n">losses</span></div>
+
+
+<div class="viewcode-block" id="Sup3rGanDC.calc_val_loss">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.calc_val_loss">[docs]</a>
+    <span class="k">def</span> <span class="nf">calc_val_loss</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch_handler</span><span class="p">,</span> <span class="n">weight_gen_advers</span><span class="p">,</span> <span class="n">loss_details</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Overloading the base calc_val_loss method. Method updates the</span>
+<span class="sd">        temporal weights for the batch handler based on the losses across the</span>
+<span class="sd">        time bins</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        batch_handler : sup3r.preprocessing.BatchHandler</span>
+<span class="sd">            BatchHandler object to iterate through</span>
+<span class="sd">        weight_gen_advers : float</span>
+<span class="sd">            Weight factor for the adversarial loss component of the generator</span>
+<span class="sd">            vs. the discriminator.</span>
+<span class="sd">        loss_details : dict</span>
+<span class="sd">            Namespace of the breakdown of loss components where each value is a</span>
+<span class="sd">            running average at the current state in the epoch.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        dict</span>
+<span class="sd">            Updated loss_details with mean validation loss calculated using</span>
+<span class="sd">            the validation samples across the time bins</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">total_losses</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">calc_val_loss_gen</span><span class="p">(</span><span class="n">batch_handler</span><span class="p">,</span> <span class="n">weight_gen_advers</span><span class="p">)</span>
+        <span class="n">content_losses</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">calc_val_loss_gen_content</span><span class="p">(</span><span class="n">batch_handler</span><span class="p">)</span>
+
+        <span class="n">t_weights</span> <span class="o">=</span> <span class="n">total_losses</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+        <span class="n">t_weights</span> <span class="o">/=</span> <span class="n">t_weights</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span>
+
+        <span class="n">s_weights</span> <span class="o">=</span> <span class="n">total_losses</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+        <span class="n">s_weights</span> <span class="o">/=</span> <span class="n">s_weights</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Previous spatial weights: </span><span class="si">{</span><span class="n">batch_handler</span><span class="o">.</span><span class="n">spatial_weights</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Previous temporal weights: </span><span class="si">{</span><span class="n">batch_handler</span><span class="o">.</span><span class="n">temporal_weights</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+        <span class="n">batch_handler</span><span class="o">.</span><span class="n">update_weights</span><span class="p">(</span>
+            <span class="n">spatial_weights</span><span class="o">=</span><span class="n">s_weights</span><span class="p">,</span> <span class="n">temporal_weights</span><span class="o">=</span><span class="n">t_weights</span>
+        <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+            <span class="s1">&#39;New spatiotemporal weights (space, time):</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">total_losses</span><span class="w"> </span><span class="o">/</span><span class="w"> </span><span class="n">total_losses</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;New spatial weights: </span><span class="si">{</span><span class="n">s_weights</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;New temporal weights: </span><span class="si">{</span><span class="n">t_weights</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+
+        <span class="n">loss_details</span><span class="p">[</span><span class="s1">&#39;mean_val_loss_gen&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="nb">round</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">total_losses</span><span class="p">),</span> <span class="mi">3</span><span class="p">)</span>
+        <span class="n">loss_details</span><span class="p">[</span><span class="s1">&#39;mean_val_loss_gen_content&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="nb">round</span><span class="p">(</span>
+            <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">content_losses</span><span class="p">),</span> <span class="mi">3</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="n">loss_details</span></div>
+</div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.models.linear</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Simple models for super resolution such as linear interp models.&quot;&quot;&quot;</span>
+<span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">from</span> <span class="nn">inspect</span> <span class="kn">import</span> <span class="n">signature</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+<span class="kn">from</span> <span class="nn">.abstract</span> <span class="kn">import</span> <span class="n">AbstractInterface</span>
+<span class="kn">from</span> <span class="nn">.utilities</span> <span class="kn">import</span> <span class="n">st_interp</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="LinearInterp">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp">[docs]</a>
+<span class="k">class</span> <span class="nc">LinearInterp</span><span class="p">(</span><span class="n">AbstractInterface</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Simple model to do linear interpolation on the spatial and temporal axes</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">lr_features</span><span class="p">,</span> <span class="n">s_enhance</span><span class="p">,</span> <span class="n">t_enhance</span><span class="p">,</span> <span class="n">t_centered</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+                 <span class="n">input_resolution</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        lr_features : list</span>
+<span class="sd">            List of feature names that this model will operate on for both</span>
+<span class="sd">            input and output. This must match the feature axis ordering in the</span>
+<span class="sd">            array input to generate().</span>
+<span class="sd">        s_enhance : int</span>
+<span class="sd">            Integer factor by which the spatial axes is to be enhanced.</span>
+<span class="sd">        t_enhance : int</span>
+<span class="sd">            Integer factor by which the temporal axes is to be enhanced.</span>
+<span class="sd">        t_centered : bool</span>
+<span class="sd">            Flag to switch time axis from time-beginning (Default, e.g.</span>
+<span class="sd">            interpolate 00:00 01:00 to 00:00 00:30 01:00 01:30) to</span>
+<span class="sd">            time-centered (e.g. interp 01:00 02:00 to 00:45 01:15 01:45 02:15)</span>
+<span class="sd">        input_resolution : dict | None</span>
+<span class="sd">            Resolution of the input data. e.g. {&#39;spatial&#39;: &#39;30km&#39;, &#39;temporal&#39;:</span>
+<span class="sd">            &#39;60min&#39;}. This is used to determine how to aggregate</span>
+<span class="sd">            high-resolution topography data.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">_lr_features</span> <span class="o">=</span> <span class="n">lr_features</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span> <span class="o">=</span> <span class="n">s_enhance</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_t_enhance</span> <span class="o">=</span> <span class="n">t_enhance</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_t_centered</span> <span class="o">=</span> <span class="n">t_centered</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_input_resolution</span> <span class="o">=</span> <span class="n">input_resolution</span>
+
+<div class="viewcode-block" id="LinearInterp.load">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.load">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">model_dir</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Load the LinearInterp model with its params saved to the model_dir</span>
+<span class="sd">        created with LinearInterp.save(model_dir)</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        model_dir : str</span>
+<span class="sd">            Directory to load LinearInterp model files from. Must</span>
+<span class="sd">            have a model_params.json file containing &quot;meta&quot; key with all of the</span>
+<span class="sd">            class init args.</span>
+<span class="sd">        verbose : bool</span>
+<span class="sd">            Flag to log information about the loaded model.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out : LinearInterp</span>
+<span class="sd">            Returns an initialized LinearInterp model</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">fp_params</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">model_dir</span><span class="p">,</span> <span class="s1">&#39;model_params.json&#39;</span><span class="p">)</span>
+        <span class="k">assert</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">fp_params</span><span class="p">),</span> <span class="sa">f</span><span class="s1">&#39;Could not find: </span><span class="si">{</span><span class="n">fp_params</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">fp_params</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+            <span class="n">params</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
+
+        <span class="n">meta</span> <span class="o">=</span> <span class="n">params</span><span class="p">[</span><span class="s1">&#39;meta&#39;</span><span class="p">]</span>
+        <span class="n">args</span> <span class="o">=</span> <span class="n">signature</span><span class="p">(</span><span class="bp">cls</span><span class="o">.</span><span class="fm">__init__</span><span class="p">)</span><span class="o">.</span><span class="n">parameters</span>
+        <span class="n">kwargs</span> <span class="o">=</span> <span class="p">{</span><span class="n">k</span><span class="p">:</span> <span class="n">v</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">meta</span><span class="o">.</span><span class="n">items</span><span class="p">()</span> <span class="k">if</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">args</span><span class="p">}</span>
+        <span class="n">model</span> <span class="o">=</span> <span class="bp">cls</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">verbose</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Loading LinearInterp with meta data: </span><span class="si">{}</span><span class="s1">&#39;</span>
+                        <span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">meta</span><span class="p">))</span>
+
+        <span class="k">return</span> <span class="n">model</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">meta</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get meta data dictionary that defines the model params&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">{</span><span class="s1">&#39;input_resolution&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_input_resolution</span><span class="p">,</span>
+                <span class="s1">&#39;lr_features&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_lr_features</span><span class="p">,</span>
+                <span class="s1">&#39;s_enhance&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">,</span>
+                <span class="s1">&#39;t_enhance&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_enhance</span><span class="p">,</span>
+                <span class="s1">&#39;t_centered&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_centered</span><span class="p">,</span>
+                <span class="s1">&#39;hr_out_features&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_out_features</span><span class="p">,</span>
+                <span class="s1">&#39;class&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="p">,</span>
+                <span class="p">}</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">lr_features</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the list of input feature names that the generative model was</span>
+<span class="sd">        trained on.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_lr_features</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">hr_out_features</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the list of output feature names that the generative model</span>
+<span class="sd">        outputs&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_lr_features</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">hr_exo_features</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns an empty list for LinearInterp model&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">[]</span>
+
+<div class="viewcode-block" id="LinearInterp.save">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.save">[docs]</a>
+    <span class="k">def</span> <span class="nf">save</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">out_dir</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        out_dir : str</span>
+<span class="sd">            Directory to save linear model params. This directory will be</span>
+<span class="sd">            created if it does not already exist.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">save_params</span><span class="p">(</span><span class="n">out_dir</span><span class="p">)</span></div>
+
+
+    <span class="c1"># pylint: disable=unused-argument</span>
+<div class="viewcode-block" id="LinearInterp.generate">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.generate">[docs]</a>
+    <span class="k">def</span> <span class="nf">generate</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">low_res</span><span class="p">,</span> <span class="n">norm_in</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">un_norm_out</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+                 <span class="n">exogenous_data</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Use the generator model to generate high res data from low res</span>
+<span class="sd">        input. This is the public generate function.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        low_res : np.ndarray</span>
+<span class="sd">            Low-resolution spatiotemporal input data, a 5D array of shape:</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, temporal, n_features)</span>
+<span class="sd">        norm_in : bool</span>
+<span class="sd">            This doesnt do anything for this LinearInterp, but is</span>
+<span class="sd">            kept to keep the same interface as Sup3rGan</span>
+<span class="sd">        un_norm_out : bool</span>
+<span class="sd">            This doesnt do anything for this LinearInterp, but is</span>
+<span class="sd">            kept to keep the same interface as Sup3rGan</span>
+<span class="sd">        exogenous_data : list</span>
+<span class="sd">            This doesnt do anything for this LinearInterp, but is</span>
+<span class="sd">            kept to keep the same interface as Sup3rGan</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        hi_res : ndarray</span>
+<span class="sd">            high-resolution spatial output data, a 5D array of shape:</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, temporal, n_features)</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">hr_shape</span> <span class="o">=</span> <span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">low_res</span><span class="p">),</span>
+                    <span class="nb">int</span><span class="p">(</span><span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">),</span>
+                    <span class="nb">int</span><span class="p">(</span><span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">),</span>
+                    <span class="nb">int</span><span class="p">(</span><span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_enhance</span><span class="p">),</span>
+                    <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_out_features</span><span class="p">))</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;LinearInterp model with s_enhance of </span><span class="si">{}</span><span class="s1"> &#39;</span>
+                     <span class="s1">&#39;and t_enhance of </span><span class="si">{}</span><span class="s1"> &#39;</span>
+                     <span class="s1">&#39;downscaling low-res shape </span><span class="si">{}</span><span class="s1"> to high-res shape </span><span class="si">{}</span><span class="s1">&#39;</span>
+                     <span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_enhance</span><span class="p">,</span>
+                             <span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">hr_shape</span><span class="p">))</span>
+
+        <span class="n">hi_res</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="n">hr_shape</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+
+        <span class="k">for</span> <span class="n">iobs</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">low_res</span><span class="p">)):</span>
+            <span class="k">for</span> <span class="n">idf</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]):</span>
+                <span class="n">hi_res</span><span class="p">[</span><span class="n">iobs</span><span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="n">idf</span><span class="p">]</span> <span class="o">=</span> <span class="n">st_interp</span><span class="p">(</span><span class="n">low_res</span><span class="p">[</span><span class="n">iobs</span><span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="n">idf</span><span class="p">],</span>
+                                                   <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">,</span>
+                                                   <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span><span class="p">,</span>
+                                                   <span class="n">t_centered</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_t_centered</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">hi_res</span></div>
+</div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.models.multi_step</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Sup3r multi step model frameworks</span>
+
+<span class="sd">TODO: SolarMultiStepGan can be cleaned up a little with the output padding and</span>
+<span class="sd">t_enhance argument moved to SolarCC.</span>
+<span class="sd">&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+<span class="c1"># pylint: disable=cyclic-import</span>
+<span class="kn">import</span> <span class="nn">sup3r.models</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.data_handlers</span> <span class="kn">import</span> <span class="n">ExoData</span>
+
+<span class="kn">from</span> <span class="nn">.abstract</span> <span class="kn">import</span> <span class="n">AbstractInterface</span>
+<span class="kn">from</span> <span class="nn">.base</span> <span class="kn">import</span> <span class="n">Sup3rGan</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="MultiStepGan">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan">[docs]</a>
+<span class="k">class</span> <span class="nc">MultiStepGan</span><span class="p">(</span><span class="n">AbstractInterface</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Multi-Step GAN, which is really just an abstraction layer on top of one</span>
+<span class="sd">    or more Sup3rGan models that will perform their forward passes in</span>
+<span class="sd">    serial.&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">models</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        models : list | tuple</span>
+<span class="sd">            An ordered list/tuple of one or more trained Sup3rGan models</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_models</span> <span class="o">=</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">models</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="fm">__len__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get number of model steps&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_models</span><span class="p">)</span>
+
+<div class="viewcode-block" id="MultiStepGan.load">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.load">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">model_dirs</span><span class="p">,</span> <span class="n">model_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Load the GANs with its sub-networks from a previously saved-to</span>
+<span class="sd">        output directory.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        model_dirs : list | tuple</span>
+<span class="sd">            An ordered list/tuple of one or more directories containing trained</span>
+<span class="sd">            + saved Sup3rGan models created using the Sup3rGan.save() method.</span>
+<span class="sd">        model_kwargs : list | tuple</span>
+<span class="sd">            An ordered list/tuple of one or more dictionaries containing kwargs</span>
+<span class="sd">            for the corresponding model in model_dirs</span>
+<span class="sd">        verbose : bool</span>
+<span class="sd">            Flag to log information about the loaded model.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out : MultiStepGan</span>
+<span class="sd">            Returns a pretrained gan model that was previously saved to</span>
+<span class="sd">            model_dirs</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">models</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">model_dirs</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+            <span class="n">model_dirs</span> <span class="o">=</span> <span class="p">[</span><span class="n">model_dirs</span><span class="p">]</span>
+
+        <span class="n">model_kwargs</span> <span class="o">=</span> <span class="n">model_kwargs</span> <span class="ow">or</span> <span class="p">[{}]</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="n">model_dirs</span><span class="p">)</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">model_kwargs</span><span class="p">,</span> <span class="nb">dict</span><span class="p">):</span>
+            <span class="n">model_kwargs</span> <span class="o">=</span> <span class="p">[</span><span class="n">model_kwargs</span><span class="p">]</span>
+
+        <span class="k">for</span> <span class="n">model_dir</span><span class="p">,</span> <span class="n">kwargs</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">model_dirs</span><span class="p">,</span> <span class="n">model_kwargs</span><span class="p">):</span>
+            <span class="n">fp_params</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">model_dir</span><span class="p">,</span> <span class="s1">&#39;model_params.json&#39;</span><span class="p">)</span>
+            <span class="k">assert</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">fp_params</span><span class="p">),</span> <span class="sa">f</span><span class="s1">&#39;Could not find: </span><span class="si">{</span><span class="n">fp_params</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">fp_params</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+                <span class="n">params</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
+
+            <span class="n">meta</span> <span class="o">=</span> <span class="n">params</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;meta&#39;</span><span class="p">,</span> <span class="p">{</span><span class="s1">&#39;class&#39;</span><span class="p">:</span> <span class="s1">&#39;Sup3rGan&#39;</span><span class="p">})</span>
+            <span class="n">class_name</span> <span class="o">=</span> <span class="n">meta</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;class&#39;</span><span class="p">,</span> <span class="s1">&#39;Sup3rGan&#39;</span><span class="p">)</span>
+            <span class="n">Sup3rClass</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">sup3r</span><span class="o">.</span><span class="n">models</span><span class="p">,</span> <span class="n">class_name</span><span class="p">)</span>
+            <span class="n">models</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
+                <span class="n">Sup3rClass</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">model_dir</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+            <span class="p">)</span>
+
+        <span class="k">return</span> <span class="bp">cls</span><span class="p">(</span><span class="n">models</span><span class="p">)</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">models</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get an ordered tuple of the Sup3rGan models that are part of this</span>
+<span class="sd">        MultiStepGan</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_models</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">means</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the data normalization mean values. This is a tuple of means</span>
+<span class="sd">        from all models.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tuple | np.ndarray</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">means</span> <span class="k">for</span> <span class="n">model</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">models</span><span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">stdevs</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the data normalization standard deviation values. This is a</span>
+<span class="sd">        tuple of stdevs from all models.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tuple | np.ndarray</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">stdevs</span> <span class="k">for</span> <span class="n">model</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">models</span><span class="p">)</span>
+
+<div class="viewcode-block" id="MultiStepGan.seed">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.seed">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">seed</span><span class="p">(</span><span class="n">s</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Set the random seed for reproducible results.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        s : int</span>
+<span class="sd">            Random seed</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">Sup3rGan</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="n">s</span><span class="o">=</span><span class="n">s</span><span class="p">)</span></div>
+
+
+    <span class="k">def</span> <span class="nf">_transpose_model_input</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">hi_res</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Transpose input data according to mdel input dimensions.</span>
+
+<span class="sd">        Note</span>
+<span class="sd">        ----</span>
+<span class="sd">        If hi_res.shape == 4, it is assumed that the dimensions have the</span>
+<span class="sd">        ordering (n_obs, spatial_1, spatial_2, features)</span>
+
+<span class="sd">        If hi_res.shape == 5, it is assumed that the dimensions have the</span>
+<span class="sd">        ordering (1, spatial_1, spatial_2, temporal, features)</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        model : Sup3rGan</span>
+<span class="sd">            A single step model with the attribute model.input_dims</span>
+<span class="sd">        hi_res : ndarray</span>
+<span class="sd">            Synthetically generated high-resolution data, usually a 4D or 5D</span>
+<span class="sd">            array with shape:</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_features)</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_temporal, n_features)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        hi_res : ndarray</span>
+<span class="sd">            Synthetically generated high-resolution data transposed according</span>
+<span class="sd">            to the number of model input dimensions</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">model</span><span class="o">.</span><span class="n">is_5d</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">4</span><span class="p">:</span>
+            <span class="n">hi_res</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">hi_res</span><span class="p">,</span> <span class="n">axes</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">3</span><span class="p">))[</span><span class="n">np</span><span class="o">.</span><span class="n">newaxis</span><span class="p">]</span>
+        <span class="k">elif</span> <span class="n">model</span><span class="o">.</span><span class="n">is_4d</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">5</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Recieved 5D input data with shape &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;(</span><span class="si">{</span><span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">) to a 4D model.&#39;</span>
+            <span class="p">)</span>
+            <span class="k">assert</span> <span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">==</span> <span class="mi">1</span><span class="p">,</span> <span class="n">msg</span>
+            <span class="n">hi_res</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">hi_res</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">axes</span><span class="o">=</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Recieved input data with shape &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1"> to a </span><span class="si">{</span><span class="n">model</span><span class="o">.</span><span class="n">input_dims</span><span class="si">}</span><span class="s1">D model.&#39;</span>
+            <span class="p">)</span>
+            <span class="k">assert</span> <span class="n">model</span><span class="o">.</span><span class="n">input_dims</span> <span class="o">==</span> <span class="nb">len</span><span class="p">(</span><span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span><span class="p">),</span> <span class="n">msg</span>
+        <span class="k">return</span> <span class="n">hi_res</span>
+
+<div class="viewcode-block" id="MultiStepGan.generate">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.generate">[docs]</a>
+    <span class="k">def</span> <span class="nf">generate</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span> <span class="n">low_res</span><span class="p">,</span> <span class="n">norm_in</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">un_norm_out</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">exogenous_data</span><span class="o">=</span><span class="kc">None</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Use the generator model to generate high res data from low res</span>
+<span class="sd">        input. This is the public generate function.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        low_res : np.ndarray</span>
+<span class="sd">            Low-resolution input data, usually a 4D or 5D array of shape:</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_features)</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_temporal, n_features)</span>
+<span class="sd">        norm_in : bool</span>
+<span class="sd">            Flag to normalize low_res input data if the self.means,</span>
+<span class="sd">            self.stdevs attributes are available. The generator should always</span>
+<span class="sd">            received normalized data with mean=0 stdev=1.</span>
+<span class="sd">        un_norm_out : bool</span>
+<span class="sd">           Flag to un-normalize synthetically generated output data to physical</span>
+<span class="sd">           units</span>
+<span class="sd">        exogenous_data : ExoData</span>
+<span class="sd">           :class:`ExoData` object, which is a special dictionary containing</span>
+<span class="sd">            exogenous data for each model step and info about how to use the</span>
+<span class="sd">            data at each step.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        hi_res : ndarray</span>
+<span class="sd">            Synthetically generated high-resolution data, usually a 4D or 5D</span>
+<span class="sd">            array with shape:</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_features)</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_temporal, n_features)</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">exogenous_data</span><span class="p">,</span> <span class="nb">dict</span><span class="p">)</span> <span class="ow">and</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span>
+            <span class="n">exogenous_data</span><span class="p">,</span> <span class="n">ExoData</span>
+        <span class="p">):</span>
+            <span class="n">exogenous_data</span> <span class="o">=</span> <span class="n">ExoData</span><span class="p">(</span><span class="n">exogenous_data</span><span class="p">)</span>
+
+        <span class="n">hi_res</span> <span class="o">=</span> <span class="n">low_res</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+        <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">model</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">models</span><span class="p">):</span>
+            <span class="n">i_norm_in</span> <span class="o">=</span> <span class="ow">not</span> <span class="p">(</span><span class="n">i</span> <span class="o">==</span> <span class="mi">0</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">norm_in</span><span class="p">)</span>
+            <span class="n">i_un_norm_out</span> <span class="o">=</span> <span class="ow">not</span> <span class="p">(</span><span class="n">i</span> <span class="o">+</span> <span class="mi">1</span> <span class="o">==</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">models</span><span class="p">)</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">un_norm_out</span><span class="p">)</span>
+
+            <span class="n">i_exo_data</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="kc">None</span>
+                <span class="k">if</span> <span class="n">exogenous_data</span> <span class="ow">is</span> <span class="kc">None</span>
+                <span class="k">else</span> <span class="n">exogenous_data</span><span class="o">.</span><span class="n">get_model_step_exo</span><span class="p">(</span><span class="n">i</span><span class="p">)</span>
+            <span class="p">)</span>
+
+            <span class="k">try</span><span class="p">:</span>
+                <span class="n">hi_res</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_transpose_model_input</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">hi_res</span><span class="p">)</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                    <span class="s1">&#39;Data input to model #</span><span class="si">{}</span><span class="s1"> of </span><span class="si">{}</span><span class="s1"> has shape </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                        <span class="n">i</span> <span class="o">+</span> <span class="mi">1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">models</span><span class="p">),</span> <span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span>
+                    <span class="p">)</span>
+                <span class="p">)</span>
+                <span class="n">hi_res</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">generate</span><span class="p">(</span>
+                    <span class="n">hi_res</span><span class="p">,</span>
+                    <span class="n">norm_in</span><span class="o">=</span><span class="n">i_norm_in</span><span class="p">,</span>
+                    <span class="n">un_norm_out</span><span class="o">=</span><span class="n">i_un_norm_out</span><span class="p">,</span>
+                    <span class="n">exogenous_data</span><span class="o">=</span><span class="n">i_exo_data</span><span class="p">,</span>
+                <span class="p">)</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                    <span class="s1">&#39;Data output from model #</span><span class="si">{}</span><span class="s1"> of </span><span class="si">{}</span><span class="s1"> has shape </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                        <span class="n">i</span> <span class="o">+</span> <span class="mi">1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">models</span><span class="p">),</span> <span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span>
+                    <span class="p">)</span>
+                <span class="p">)</span>
+            <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
+                <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="s1">&#39;Could not run model #</span><span class="si">{}</span><span class="s1"> of </span><span class="si">{}</span><span class="s1"> &quot;</span><span class="si">{}</span><span class="s1">&quot; &#39;</span>
+                    <span class="s1">&#39;on tensor of shape </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                        <span class="n">i</span> <span class="o">+</span> <span class="mi">1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">models</span><span class="p">),</span> <span class="n">model</span><span class="p">,</span> <span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span>
+                    <span class="p">)</span>
+                <span class="p">)</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">exception</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span>
+
+        <span class="k">return</span> <span class="n">hi_res</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">version_record</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a tuple of version records from all models</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tuple</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">version_record</span> <span class="k">for</span> <span class="n">model</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">models</span><span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">meta</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a tuple of meta data dictionaries for all models</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tuple</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">meta</span> <span class="k">for</span> <span class="n">model</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">models</span><span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">lr_features</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a list of low-resolution features input to the generative model.</span>
+<span class="sd">        This includes low-resolution features that might be supplied</span>
+<span class="sd">        exogenously at inference time but that were in the low-res batches</span>
+<span class="sd">        during training&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">models</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">lr_features</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">hr_out_features</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the list of high-resolution output feature names that the</span>
+<span class="sd">        generative model outputs.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">models</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">hr_out_features</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">hr_exo_features</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get list of high-resolution exogenous filter names the model uses.</span>
+<span class="sd">        For the multi-step model, each entry in this list corresponds to one of</span>
+<span class="sd">        the single-step models and is itself a list of hr_exo_features for that</span>
+<span class="sd">        model.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">[</span><span class="n">model</span><span class="o">.</span><span class="n">hr_exo_features</span> <span class="k">for</span> <span class="n">model</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">models</span><span class="p">]</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">model_params</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a tuple of model parameters for all models</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tuple</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">model_params</span> <span class="k">for</span> <span class="n">model</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">models</span><span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="MultiStepSurfaceMetGan">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan">[docs]</a>
+<span class="k">class</span> <span class="nc">MultiStepSurfaceMetGan</span><span class="p">(</span><span class="n">MultiStepGan</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;A two-step GAN where the first step is a spatial-only enhancement on a</span>
+<span class="sd">    4D tensor of near-surface temperature and relative humidity data, and the</span>
+<span class="sd">    second step is a (spatio)temporal enhancement on a 5D tensor.</span>
+
+<span class="sd">    Note</span>
+<span class="sd">    ----</span>
+<span class="sd">    No inputs are needed for the first spatial-only surface meteorology</span>
+<span class="sd">    model. The spatial enhancement is determined by the low and high res</span>
+<span class="sd">    topography inputs in the exogenous_data kwargs in the</span>
+<span class="sd">    MultiStepSurfaceMetGan.generate() method.</span>
+
+<span class="sd">    The low res input to the spatial enhancement should be a 4D tensor of</span>
+<span class="sd">    the shape (temporal, spatial_1, spatial_2, features) where temporal</span>
+<span class="sd">    (usually the observation index) is a series of sequential timesteps that</span>
+<span class="sd">    will be transposed to a 5D tensor of shape</span>
+<span class="sd">    (1, spatial_1, spatial_2, temporal, features) tensor and then fed to the</span>
+<span class="sd">    2nd-step (spatio)temporal GAN.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="MultiStepSurfaceMetGan.generate">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.generate">[docs]</a>
+    <span class="k">def</span> <span class="nf">generate</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span> <span class="n">low_res</span><span class="p">,</span> <span class="n">norm_in</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">un_norm_out</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">exogenous_data</span><span class="o">=</span><span class="kc">None</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Use the generator model to generate high res data from low res</span>
+<span class="sd">        input. This is the public generate function.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        low_res : np.ndarray</span>
+<span class="sd">            Low-resolution spatial input data, a 4D array of shape:</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_features), Where the feature</span>
+<span class="sd">            channel can include temperature_*m, relativehumidity_*m, and/or</span>
+<span class="sd">            pressure_*m</span>
+<span class="sd">        norm_in : bool</span>
+<span class="sd">            Flag to normalize low_res input data if the self.means,</span>
+<span class="sd">            self.stdevs attributes are available. The generator should always</span>
+<span class="sd">            received normalized data with mean=0 stdev=1.</span>
+<span class="sd">        un_norm_out : bool</span>
+<span class="sd">           Flag to un-normalize synthetically generated output data to physical</span>
+<span class="sd">           units</span>
+<span class="sd">        exogenous_data : dict</span>
+<span class="sd">            For the MultiStepSurfaceMetGan, this must be a nested dictionary</span>
+<span class="sd">            with a main &#39;topography&#39; key and two entries for</span>
+<span class="sd">            exogenous_data[&#39;topography&#39;][&#39;steps&#39;]. The first entry includes a</span>
+<span class="sd">            2D (lat, lon) array of low-resolution surface elevation data in</span>
+<span class="sd">            meters (must match spatial_1, spatial_2 from low_res), and the</span>
+<span class="sd">            second entry includes a 2D (lat, lon) array of high-resolution</span>
+<span class="sd">            surface elevation data in meters. e.g.</span>
+<span class="sd">            .. code-block:: JSON</span>
+<span class="sd">                {&#39;topography&#39;: {</span>
+<span class="sd">                    &#39;steps&#39;: [</span>
+<span class="sd">                        {&#39;model&#39;: 0,</span>
+<span class="sd">                         &#39;combine_type&#39;:</span>
+<span class="sd">                         &#39;input&#39;,</span>
+<span class="sd">                         &#39;data&#39;: lr_topo},</span>
+<span class="sd">                        {&#39;model&#39;: 0,</span>
+<span class="sd">                         &#39;combine_type&#39;:</span>
+<span class="sd">                         &#39;output&#39;,</span>
+<span class="sd">                         &#39;data&#39;: hr_topo&#39;}</span>
+<span class="sd">                        ]</span>
+<span class="sd">                    }</span>
+<span class="sd">                }</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        hi_res : ndarray</span>
+<span class="sd">            Synthetically generated high-resolution data output from the 2nd</span>
+<span class="sd">            step (spatio)temporal GAN with a 5D array shape:</span>
+<span class="sd">            (1, spatial_1, spatial_2, n_temporal, n_features), Where the</span>
+<span class="sd">            feature channel can include temperature_*m, relativehumidity_*m,</span>
+<span class="sd">            and/or pressure_*m</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+            <span class="s1">&#39;Data input to the 1st step spatial-only &#39;</span>
+            <span class="s1">&#39;enhancement has shape </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+        <span class="p">)</span>
+
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;MultiStepSurfaceMetGan needs exogenous_data with two &#39;</span>
+            <span class="s1">&#39;topography steps, for low and high res topography inputs.&#39;</span>
+        <span class="p">)</span>
+        <span class="n">exo_check</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">exogenous_data</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+            <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">exogenous_data</span><span class="p">[</span><span class="s1">&#39;topography&#39;</span><span class="p">][</span><span class="s1">&#39;steps&#39;</span><span class="p">])</span> <span class="o">==</span> <span class="mi">2</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="n">exo_check</span><span class="p">,</span> <span class="n">msg</span>
+
+        <span class="k">return</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">generate</span><span class="p">(</span><span class="n">low_res</span><span class="p">,</span> <span class="n">norm_in</span><span class="p">,</span> <span class="n">un_norm_out</span><span class="p">,</span> <span class="n">exogenous_data</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="MultiStepSurfaceMetGan.load">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.load">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">load</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">surface_model_class</span><span class="o">=</span><span class="s1">&#39;SurfaceSpatialMetModel&#39;</span><span class="p">,</span>
+        <span class="n">temporal_model_class</span><span class="o">=</span><span class="s1">&#39;MultiStepGan&#39;</span><span class="p">,</span>
+        <span class="n">surface_model_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">temporal_model_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">verbose</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Load the GANs with its sub-networks from a previously saved-to</span>
+<span class="sd">        output directory.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        surface_model_class : str</span>
+<span class="sd">            Name of surface model class to be retrieved from sup3r.models, this</span>
+<span class="sd">            is typically &quot;SurfaceSpatialMetModel&quot;</span>
+<span class="sd">        temporal_model_class : str</span>
+<span class="sd">            Name of temporal model class to be retrieved from sup3r.models,</span>
+<span class="sd">            this is typically &quot;Sup3rGan&quot;</span>
+<span class="sd">        surface_model_kwargs : None | dict</span>
+<span class="sd">            Optional additional kwargs to surface_model_class.load()</span>
+<span class="sd">        temporal_model_kwargs : None | dict</span>
+<span class="sd">            Optional additional kwargs to temporal_model_class.load()</span>
+<span class="sd">        verbose : bool</span>
+<span class="sd">            Flag to log information about the loaded model.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out : MultiStepGan</span>
+<span class="sd">            Returns a pretrained gan model that was previously saved to</span>
+<span class="sd">            model_dirs</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="n">surface_model_kwargs</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">surface_model_kwargs</span> <span class="o">=</span> <span class="p">{}</span>
+
+        <span class="k">if</span> <span class="n">temporal_model_kwargs</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">temporal_model_kwargs</span> <span class="o">=</span> <span class="p">{}</span>
+
+        <span class="n">SpatialModelClass</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">sup3r</span><span class="o">.</span><span class="n">models</span><span class="p">,</span> <span class="n">surface_model_class</span><span class="p">)</span>
+        <span class="n">s_models</span> <span class="o">=</span> <span class="n">SpatialModelClass</span><span class="o">.</span><span class="n">load</span><span class="p">(</span>
+            <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span><span class="p">,</span> <span class="o">**</span><span class="n">surface_model_kwargs</span>
+        <span class="p">)</span>
+
+        <span class="n">TemporalModelClass</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">sup3r</span><span class="o">.</span><span class="n">models</span><span class="p">,</span> <span class="n">temporal_model_class</span><span class="p">)</span>
+        <span class="n">t_models</span> <span class="o">=</span> <span class="n">TemporalModelClass</span><span class="o">.</span><span class="n">load</span><span class="p">(</span>
+            <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span><span class="p">,</span> <span class="o">**</span><span class="n">temporal_model_kwargs</span>
+        <span class="p">)</span>
+
+        <span class="n">s_models</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">s_models</span><span class="p">,</span> <span class="s1">&#39;models&#39;</span><span class="p">,</span> <span class="p">[</span><span class="n">s_models</span><span class="p">])</span>
+        <span class="n">t_models</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">t_models</span><span class="p">,</span> <span class="s1">&#39;models&#39;</span><span class="p">,</span> <span class="p">[</span><span class="n">t_models</span><span class="p">])</span>
+        <span class="k">return</span> <span class="bp">cls</span><span class="p">([</span><span class="o">*</span><span class="n">s_models</span><span class="p">,</span> <span class="o">*</span><span class="n">t_models</span><span class="p">])</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="SolarMultiStepGan">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan">[docs]</a>
+<span class="k">class</span> <span class="nc">SolarMultiStepGan</span><span class="p">(</span><span class="n">MultiStepGan</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Special multi step model for solar clearsky ratio super resolution.</span>
+
+<span class="sd">    This model takes in two parallel models for wind-only and solar-only</span>
+<span class="sd">    spatial super resolutions, then combines them into a 3-channel</span>
+<span class="sd">    high-spatial-resolution input (clearsky_ratio, u_200m, v_200m) for a solar</span>
+<span class="sd">    temporal super resolution model.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">spatial_solar_models</span><span class="p">,</span>
+        <span class="n">spatial_wind_models</span><span class="p">,</span>
+        <span class="n">temporal_solar_models</span><span class="p">,</span>
+        <span class="n">t_enhance</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        spatial_solar_models : MultiStepGan</span>
+<span class="sd">            A loaded MultiStepGan object representing the one or more spatial</span>
+<span class="sd">            super resolution steps in this composite MultiStepGan</span>
+<span class="sd">            model that inputs and outputs clearsky_ratio</span>
+<span class="sd">        spatial_wind_models : MultiStepGan</span>
+<span class="sd">            A loaded MultiStepGan object representing the one or more spatial</span>
+<span class="sd">            super resolution steps in this composite MultiStepGan</span>
+<span class="sd">            model that inputs and outputs wind u/v features and must include</span>
+<span class="sd">            u_200m + v_200m as output features.</span>
+<span class="sd">        temporal_solar_models : MultiStepGan</span>
+<span class="sd">            A loaded MultiStepGan object representing the one or more</span>
+<span class="sd">            (spatio)temporal super resolution steps in this composite</span>
+<span class="sd">            SolarMultiStepGan model. This is the final step in the custom solar</span>
+<span class="sd">            downscaling methodology.</span>
+<span class="sd">        t_enhance : int | None</span>
+<span class="sd">            Optional argument to fix or update the temporal enhancement of the</span>
+<span class="sd">            model. This can be used to manipulate the output shape to match</span>
+<span class="sd">            whatever padded shape the sup3r forward pass module expects. If</span>
+<span class="sd">            this differs from the t_enhance value based on model layers the</span>
+<span class="sd">            output will be padded so that the output shape matches low_res *</span>
+<span class="sd">            t_enhance for the time dimension.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="c1"># Initializing parent without spatial solar models since this just</span>
+        <span class="c1"># defines self.models. self.models is used to determine the aggregate</span>
+        <span class="c1"># enhancement factors so including both spatial enhancement models</span>
+        <span class="c1"># will results in an incorrect calculation.</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span>
+            <span class="n">models</span><span class="o">=</span><span class="p">[</span>
+                <span class="o">*</span><span class="n">spatial_wind_models</span><span class="o">.</span><span class="n">models</span><span class="p">,</span>
+                <span class="o">*</span><span class="n">temporal_solar_models</span><span class="o">.</span><span class="n">models</span><span class="p">,</span>
+            <span class="p">]</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_spatial_solar_models</span> <span class="o">=</span> <span class="n">spatial_solar_models</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_spatial_wind_models</span> <span class="o">=</span> <span class="n">spatial_wind_models</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_temporal_solar_models</span> <span class="o">=</span> <span class="n">temporal_solar_models</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_t_enhance</span> <span class="o">=</span> <span class="n">t_enhance</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">preflight</span><span class="p">()</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_enhance</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Can only update t_enhance for a &#39;</span>
+                <span class="s1">&#39;single temporal solar model.&#39;</span>
+            <span class="p">)</span>
+            <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">temporal_solar_models</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">,</span> <span class="n">msg</span>
+            <span class="n">model</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">temporal_solar_models</span><span class="o">.</span><span class="n">models</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+            <span class="n">model</span><span class="o">.</span><span class="n">meta</span><span class="p">[</span><span class="s1">&#39;t_enhance&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_enhance</span>
+
+<div class="viewcode-block" id="SolarMultiStepGan.preflight">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.preflight">[docs]</a>
+    <span class="k">def</span> <span class="nf">preflight</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Run some preflight checks to make sure the loaded models can work</span>
+<span class="sd">        together.&quot;&quot;&quot;</span>
+
+        <span class="n">s_enh</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">spatial_solar_models</span><span class="o">.</span><span class="n">s_enhancements</span>
+        <span class="n">w_enh</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">spatial_wind_models</span><span class="o">.</span><span class="n">s_enhancements</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Solar and wind spatial enhancements must be equivalent but &#39;</span>
+            <span class="s1">&#39;received models that do spatial enhancements of &#39;</span>
+            <span class="s1">&#39;</span><span class="si">{}</span><span class="s1"> (solar) and </span><span class="si">{}</span><span class="s1"> (wind)&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">s_enh</span><span class="p">,</span> <span class="n">w_enh</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="n">np</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="n">s_enh</span><span class="p">)</span> <span class="o">==</span> <span class="n">np</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="n">w_enh</span><span class="p">),</span> <span class="n">msg</span>
+
+        <span class="n">s_t_feat</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">spatial_solar_models</span><span class="o">.</span><span class="n">lr_features</span>
+        <span class="n">s_o_feat</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">spatial_solar_models</span><span class="o">.</span><span class="n">hr_out_features</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Solar spatial enhancement models need to take &#39;</span>
+            <span class="s1">&#39;&quot;clearsky_ratio&quot; as the only input and output feature but &#39;</span>
+            <span class="s1">&#39;received models that need </span><span class="si">{}</span><span class="s1"> and output </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">s_t_feat</span><span class="p">,</span> <span class="n">s_o_feat</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="n">s_t_feat</span> <span class="o">==</span> <span class="p">[</span><span class="s1">&#39;clearsky_ratio&#39;</span><span class="p">],</span> <span class="n">msg</span>
+        <span class="k">assert</span> <span class="n">s_o_feat</span> <span class="o">==</span> <span class="p">[</span><span class="s1">&#39;clearsky_ratio&#39;</span><span class="p">],</span> <span class="n">msg</span>
+
+        <span class="n">temp_solar_feats</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">temporal_solar_models</span><span class="o">.</span><span class="n">lr_features</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Input feature 0 for the temporal_solar_models should be &#39;</span>
+            <span class="s1">&#39;&quot;clearsky_ratio&quot; but received: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">temp_solar_feats</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="n">temp_solar_feats</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;clearsky_ratio&#39;</span><span class="p">,</span> <span class="n">msg</span>
+
+        <span class="n">spatial_out_features</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">spatial_wind_models</span><span class="o">.</span><span class="n">hr_out_features</span>
+            <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">spatial_solar_models</span><span class="o">.</span><span class="n">hr_out_features</span>
+        <span class="p">)</span>
+        <span class="n">missing</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="n">fn</span> <span class="k">for</span> <span class="n">fn</span> <span class="ow">in</span> <span class="n">temp_solar_feats</span> <span class="k">if</span> <span class="n">fn</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">spatial_out_features</span>
+        <span class="p">]</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Solar temporal model needs features </span><span class="si">{}</span><span class="s1"> that were not &#39;</span>
+            <span class="s1">&#39;found in the solar + wind model output feature list </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">missing</span><span class="p">,</span> <span class="n">spatial_out_features</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="ow">not</span> <span class="nb">any</span><span class="p">(</span><span class="n">missing</span><span class="p">),</span> <span class="n">msg</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">spatial_solar_models</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the MultiStepGan object for the spatial-only solar model(s)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        MultiStepGan</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_spatial_solar_models</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">spatial_wind_models</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the MultiStepGan object for the spatial-only wind model(s)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        MultiStepGan</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_spatial_wind_models</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">temporal_solar_models</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the MultiStepGan object for the (spatio)temporal model(s)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        MultiStepGan</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_temporal_solar_models</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">meta</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a tuple of meta data dictionaries for all models</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tuple</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">spatial_solar_models</span><span class="o">.</span><span class="n">meta</span>
+            <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">spatial_wind_models</span><span class="o">.</span><span class="n">meta</span>
+            <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">temporal_solar_models</span><span class="o">.</span><span class="n">meta</span>
+        <span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">lr_features</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a list of low-resolution features input to the generative model.</span>
+<span class="sd">        This includes low-resolution features that might be supplied</span>
+<span class="sd">        exogenously at inference time but that were in the low-res batches</span>
+<span class="sd">        during training&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">spatial_solar_models</span><span class="o">.</span><span class="n">lr_features</span>
+            <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">spatial_wind_models</span><span class="o">.</span><span class="n">lr_features</span>
+        <span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">hr_out_features</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the list of output feature names that the last solar</span>
+<span class="sd">        spatiotemporal generative model in this SolarMultiStepGan outputs.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">temporal_solar_models</span><span class="o">.</span><span class="n">hr_out_features</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">idf_wind</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get an array of feature indices for the subset of features required</span>
+<span class="sd">        for the spatial_wind_models. This excludes topography which is assumed</span>
+<span class="sd">        to be provided as exogenous_data.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span>
+            <span class="p">[</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">lr_features</span><span class="o">.</span><span class="n">index</span><span class="p">(</span><span class="n">fn</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">fn</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">spatial_wind_models</span><span class="o">.</span><span class="n">lr_features</span>
+                <span class="k">if</span> <span class="n">fn</span> <span class="o">!=</span> <span class="s1">&#39;topography&#39;</span>
+            <span class="p">]</span>
+        <span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">idf_wind_out</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get an array of spatial_wind_models output feature indices that are</span>
+<span class="sd">        required for input to the temporal_solar_models. Typically this is the</span>
+<span class="sd">        indices of u_200m + v_200m from the output features of</span>
+<span class="sd">        spatial_wind_models&quot;&quot;&quot;</span>
+        <span class="n">temporal_solar_features</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">temporal_solar_models</span><span class="o">.</span><span class="n">lr_features</span>
+        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span>
+            <span class="p">[</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">spatial_wind_models</span><span class="o">.</span><span class="n">hr_out_features</span><span class="o">.</span><span class="n">index</span><span class="p">(</span><span class="n">fn</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">fn</span> <span class="ow">in</span> <span class="n">temporal_solar_features</span><span class="p">[</span><span class="mi">1</span><span class="p">:]</span>
+            <span class="p">]</span>
+        <span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">idf_solar</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get an array of feature indices for the subset of features required</span>
+<span class="sd">        for the spatial_solar_models. This excludes topography which is assumed</span>
+<span class="sd">        to be provided as exogenous_data.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span>
+            <span class="p">[</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">lr_features</span><span class="o">.</span><span class="n">index</span><span class="p">(</span><span class="n">fn</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">fn</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">spatial_solar_models</span><span class="o">.</span><span class="n">lr_features</span>
+                <span class="k">if</span> <span class="n">fn</span> <span class="o">!=</span> <span class="s1">&#39;topography&#39;</span>
+            <span class="p">]</span>
+        <span class="p">)</span>
+
+<div class="viewcode-block" id="SolarMultiStepGan.generate">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.generate">[docs]</a>
+    <span class="k">def</span> <span class="nf">generate</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span> <span class="n">low_res</span><span class="p">,</span> <span class="n">norm_in</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">un_norm_out</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">exogenous_data</span><span class="o">=</span><span class="kc">None</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Use the generator model to generate high res data from low res</span>
+<span class="sd">        input. This is the public generate function.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        low_res : np.ndarray</span>
+<span class="sd">            Low-resolution input data to the 1st step spatial GAN, which is a</span>
+<span class="sd">            4D array of shape: (temporal, spatial_1, spatial_2, n_features).</span>
+<span class="sd">            This should include all of the ``self.lr_features`` which is a</span>
+<span class="sd">            concatenation of both the solar and wind spatial model features.</span>
+<span class="sd">            The topography feature might be removed from this input and present</span>
+<span class="sd">            in the exogenous_data input.</span>
+<span class="sd">        norm_in : bool</span>
+<span class="sd">            Flag to normalize low_res input data if the self.means,</span>
+<span class="sd">            self.stdevs attributes are available. The generator should always</span>
+<span class="sd">            received normalized data with mean=0 stdev=1.</span>
+<span class="sd">        un_norm_out : bool</span>
+<span class="sd">           Flag to un-normalize synthetically generated output data to physical</span>
+<span class="sd">           units</span>
+<span class="sd">        exogenous_data : ExoData | dict</span>
+<span class="sd">           :class:`ExoData` object (or dict that will be cast to `ExoData`)</span>
+<span class="sd">           with data arrays for each exogenous data step. Each array has 3D or</span>
+<span class="sd">           4D shape:</span>
+<span class="sd">            (spatial_1, spatial_2, n_features)</span>
+<span class="sd">            (temporal, spatial_1, spatial_2, n_features)</span>
+<span class="sd">            It&#39;s assumed that the spatial_solar_models do not require</span>
+<span class="sd">            exogenous_data and only use clearsky_ratio.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        hi_res : ndarray</span>
+<span class="sd">            Synthetically generated high-resolution data output from the 2nd</span>
+<span class="sd">            step (spatio)temporal GAN with a 5D array shape:</span>
+<span class="sd">            (1, spatial_1, spatial_2, n_temporal, n_features)</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+            <span class="s1">&#39;Data input to the SolarMultiStepGan has shape </span><span class="si">{}</span><span class="s1"> which &#39;</span>
+            <span class="s1">&#39;will be split up for solar- and wind-only features.&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">low_res</span><span class="o">.</span><span class="n">shape</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">exogenous_data</span><span class="p">,</span> <span class="nb">dict</span><span class="p">)</span> <span class="ow">and</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span>
+            <span class="n">exogenous_data</span><span class="p">,</span> <span class="n">ExoData</span>
+        <span class="p">):</span>
+            <span class="n">exogenous_data</span> <span class="o">=</span> <span class="n">ExoData</span><span class="p">(</span><span class="n">exogenous_data</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">exogenous_data</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">s_exo</span><span class="p">,</span> <span class="n">t_exo</span> <span class="o">=</span> <span class="n">exogenous_data</span><span class="o">.</span><span class="n">split</span><span class="p">(</span>
+                <span class="n">split_steps</span><span class="o">=</span><span class="p">[</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">spatial_wind_models</span><span class="p">)]</span>
+            <span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">s_exo</span> <span class="o">=</span> <span class="n">t_exo</span> <span class="o">=</span> <span class="kc">None</span>
+
+        <span class="k">try</span><span class="p">:</span>
+            <span class="n">hi_res_wind</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">spatial_wind_models</span><span class="o">.</span><span class="n">generate</span><span class="p">(</span>
+                <span class="n">low_res</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">idf_wind</span><span class="p">],</span>
+                <span class="n">norm_in</span><span class="o">=</span><span class="n">norm_in</span><span class="p">,</span>
+                <span class="n">un_norm_out</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                <span class="n">exogenous_data</span><span class="o">=</span><span class="n">s_exo</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Could not run the 1st step spatial-wind-only GAN on &#39;</span>
+                <span class="s1">&#39;input shape </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">exception</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span>
+
+        <span class="k">try</span><span class="p">:</span>
+            <span class="n">hi_res_solar</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">spatial_solar_models</span><span class="o">.</span><span class="n">generate</span><span class="p">(</span>
+                <span class="n">low_res</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">idf_solar</span><span class="p">],</span> <span class="n">norm_in</span><span class="o">=</span><span class="n">norm_in</span><span class="p">,</span> <span class="n">un_norm_out</span><span class="o">=</span><span class="kc">True</span>
+            <span class="p">)</span>
+        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Could not run the 1st step spatial-solar-only GAN on &#39;</span>
+                <span class="s1">&#39;input shape </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">exception</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+            <span class="s1">&#39;Data output from the 1st step spatial enhancement has &#39;</span>
+            <span class="s1">&#39;shape </span><span class="si">{}</span><span class="s1"> (solar) and shape </span><span class="si">{}</span><span class="s1"> (wind)&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">hi_res_solar</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">hi_res_wind</span><span class="o">.</span><span class="n">shape</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+
+        <span class="n">hi_res</span> <span class="o">=</span> <span class="p">(</span><span class="n">hi_res_solar</span><span class="p">,</span> <span class="n">hi_res_wind</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">idf_wind_out</span><span class="p">])</span>
+        <span class="n">hi_res</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">(</span><span class="n">hi_res</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+            <span class="s1">&#39;Data output from the concatenated solar + wind 1st step &#39;</span>
+            <span class="s1">&#39;spatial-only enhancement has shape </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="n">hi_res</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">hi_res</span><span class="p">,</span> <span class="n">axes</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
+        <span class="n">hi_res</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">hi_res</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+            <span class="s1">&#39;Data from the concatenated solar + wind 1st step &#39;</span>
+            <span class="s1">&#39;spatial-only enhancement has been reshaped to </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+
+        <span class="k">try</span><span class="p">:</span>
+            <span class="n">hi_res</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">temporal_solar_models</span><span class="o">.</span><span class="n">generate</span><span class="p">(</span>
+                <span class="n">hi_res</span><span class="p">,</span>
+                <span class="n">norm_in</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                <span class="n">un_norm_out</span><span class="o">=</span><span class="n">un_norm_out</span><span class="p">,</span>
+                <span class="n">exogenous_data</span><span class="o">=</span><span class="n">t_exo</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Could not run the 2nd step (spatio)temporal solar GAN on &#39;</span>
+                <span class="s1">&#39;input shape </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">exception</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span>
+
+        <span class="n">hi_res</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">temporal_pad</span><span class="p">(</span><span class="n">low_res</span><span class="p">,</span> <span class="n">hi_res</span><span class="p">)</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+            <span class="s1">&#39;Final SolarMultiStepGan output has shape: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+        <span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">hi_res</span></div>
+
+
+<div class="viewcode-block" id="SolarMultiStepGan.temporal_pad">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.temporal_pad">[docs]</a>
+    <span class="k">def</span> <span class="nf">temporal_pad</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">low_res</span><span class="p">,</span> <span class="n">hi_res</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;reflect&#39;</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Optionally add temporal padding to the 5D generated output array</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        low_res : np.ndarray</span>
+<span class="sd">            Low-resolution input data to the 1st step spatial GAN, which is a</span>
+<span class="sd">            4D array of shape: (temporal, spatial_1, spatial_2, n_features).</span>
+<span class="sd">        hi_res : ndarray</span>
+<span class="sd">            Synthetically generated high-resolution data output from the 2nd</span>
+<span class="sd">            step (spatio)temporal GAN with a 5D array shape:</span>
+<span class="sd">            (1, spatial_1, spatial_2, n_temporal, n_features)</span>
+<span class="sd">        mode : str</span>
+<span class="sd">            Padding mode for np.pad()</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        hi_res : ndarray</span>
+<span class="sd">            Synthetically generated high-resolution data output from the 2nd</span>
+<span class="sd">            step (spatio)temporal GAN with a 5D array shape:</span>
+<span class="sd">            (1, spatial_1, spatial_2, n_temporal, n_features)</span>
+<span class="sd">            With the temporal axis padded with self._temporal_pad on either</span>
+<span class="sd">            side.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">t_shape</span> <span class="o">=</span> <span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span>
+        <span class="n">t_pad</span> <span class="o">=</span> <span class="nb">int</span><span class="p">((</span><span class="n">t_shape</span> <span class="o">-</span> <span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">2</span><span class="p">])</span> <span class="o">/</span> <span class="mi">2</span><span class="p">)</span>
+        <span class="n">pad_width</span> <span class="o">=</span> <span class="p">((</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">),</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">),</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">),</span> <span class="p">(</span><span class="n">t_pad</span><span class="p">,</span> <span class="n">t_pad</span><span class="p">),</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</span>
+        <span class="n">hi_res</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">pad</span><span class="p">(</span><span class="n">hi_res</span><span class="p">,</span> <span class="n">pad_width</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="n">mode</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">hi_res</span></div>
+
+
+<div class="viewcode-block" id="SolarMultiStepGan.load">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.load">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">load</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">spatial_solar_model_dirs</span><span class="p">,</span>
+        <span class="n">spatial_wind_model_dirs</span><span class="p">,</span>
+        <span class="n">temporal_solar_model_dirs</span><span class="p">,</span>
+        <span class="n">t_enhance</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">verbose</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Load the GANs with its sub-networks from a previously saved-to</span>
+<span class="sd">        output directory.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        spatial_solar_model_dirs : str | list | tuple</span>
+<span class="sd">            An ordered list/tuple of one or more directories containing trained</span>
+<span class="sd">            + saved Sup3rGan models created using the Sup3rGan.save() method.</span>
+<span class="sd">            This must contain only spatial solar models that input/output 4D</span>
+<span class="sd">            tensors.</span>
+<span class="sd">        spatial_wind_model_dirs : str | list | tuple</span>
+<span class="sd">            An ordered list/tuple of one or more directories containing trained</span>
+<span class="sd">            + saved Sup3rGan models created using the Sup3rGan.save() method.</span>
+<span class="sd">            This must contain only spatial wind models that input/output 4D</span>
+<span class="sd">            tensors.</span>
+<span class="sd">        temporal_solar_model_dirs : str | list | tuple</span>
+<span class="sd">            An ordered list/tuple of one or more directories containing trained</span>
+<span class="sd">            + saved Sup3rGan models created using the Sup3rGan.save() method.</span>
+<span class="sd">            This must contain only (spatio)temporal solar models that</span>
+<span class="sd">            input/output 5D tensors that are the concatenated output of the</span>
+<span class="sd">            spatial_solar_models and the spatial_wind_models.</span>
+<span class="sd">        t_enhance : int | None</span>
+<span class="sd">            Optional argument to fix or update the temporal enhancement of the</span>
+<span class="sd">            model. This can be used to manipulate the output shape to match</span>
+<span class="sd">            whatever padded shape the sup3r forward pass module expects. If</span>
+<span class="sd">            this differs from the t_enhance value based on model layers the</span>
+<span class="sd">            output will be padded so that the output shape matches low_res *</span>
+<span class="sd">            t_enhance for the time dimension.</span>
+<span class="sd">        verbose : bool</span>
+<span class="sd">            Flag to log information about the loaded model.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out : SolarMultiStepGan</span>
+<span class="sd">            Returns a pretrained gan model that was previously saved to</span>
+<span class="sd">            model_dirs</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">spatial_solar_model_dirs</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+            <span class="n">spatial_solar_model_dirs</span> <span class="o">=</span> <span class="p">[</span><span class="n">spatial_solar_model_dirs</span><span class="p">]</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">spatial_wind_model_dirs</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+            <span class="n">spatial_wind_model_dirs</span> <span class="o">=</span> <span class="p">[</span><span class="n">spatial_wind_model_dirs</span><span class="p">]</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">temporal_solar_model_dirs</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+            <span class="n">temporal_solar_model_dirs</span> <span class="o">=</span> <span class="p">[</span><span class="n">temporal_solar_model_dirs</span><span class="p">]</span>
+
+        <span class="n">ssm</span> <span class="o">=</span> <span class="n">MultiStepGan</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">spatial_solar_model_dirs</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span><span class="p">)</span>
+        <span class="n">swm</span> <span class="o">=</span> <span class="n">MultiStepGan</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">spatial_wind_model_dirs</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span><span class="p">)</span>
+        <span class="n">tsm</span> <span class="o">=</span> <span class="n">MultiStepGan</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">temporal_solar_model_dirs</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="bp">cls</span><span class="p">(</span><span class="n">ssm</span><span class="p">,</span> <span class="n">swm</span><span class="p">,</span> <span class="n">tsm</span><span class="p">,</span> <span class="n">t_enhance</span><span class="o">=</span><span class="n">t_enhance</span><span class="p">)</span></div>
+</div>
+
+</pre></div>
+
+                </article>
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+
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+  <h1>Source code for sup3r.models.solar_cc</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Sup3r model software&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">tensorflow</span> <span class="k">as</span> <span class="nn">tf</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.models.base</span> <span class="kn">import</span> <span class="n">Sup3rGan</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="SolarCC">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC">[docs]</a>
+<span class="k">class</span> <span class="nc">SolarCC</span><span class="p">(</span><span class="n">Sup3rGan</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Solar climate change model.</span>
+
+<span class="sd">    Note</span>
+<span class="sd">    ----</span>
+<span class="sd">    *Modifications to standard Sup3rGan*</span>
+<span class="sd">        - Content loss is only on the n_days of the center 8 daylight hours of</span>
+<span class="sd">          the daily true+synthetic high res samples</span>
+<span class="sd">        - Discriminator only sees n_days of the center 8 daylight hours of the</span>
+<span class="sd">          daily true high res sample.</span>
+<span class="sd">        - Discriminator sees random n_days of 8-hour samples of the daily</span>
+<span class="sd">          synthetic high res sample.</span>
+<span class="sd">        - Includes padding on high resolution output of :meth:`generate` so</span>
+<span class="sd">          that forward pass always outputs a multiple of 24 hours.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="c1"># starting hour is the hour that daylight starts at, daylight hours is the</span>
+    <span class="c1"># number of daylight hours to sample, so for example if 8 and 8, the</span>
+    <span class="c1"># daylight slice will be slice(8, 16). The stride length is the step size</span>
+    <span class="c1"># for sampling the temporal axis of the generated data to send to the</span>
+    <span class="c1"># discriminator for the adversarial loss component of the generator. For</span>
+    <span class="c1"># example, if the generator produces 24 timesteps and stride is 4 and the</span>
+    <span class="c1"># daylight hours is 8, slices of (0, 8) (4, 12), (8, 16), (12, 20), and</span>
+    <span class="c1"># (16, 24) will be sent to the disc.</span>
+    <span class="n">STARTING_HOUR</span> <span class="o">=</span> <span class="mi">8</span>
+    <span class="n">DAYLIGHT_HOURS</span> <span class="o">=</span> <span class="mi">8</span>
+    <span class="n">STRIDE_LEN</span> <span class="o">=</span> <span class="mi">4</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="n">t_enhance</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Add optional t_enhance adjustment.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        *args : list</span>
+<span class="sd">            List of arguments to parent class</span>
+<span class="sd">        t_enhance : int | None</span>
+<span class="sd">            Optional argument to fix or update the temporal enhancement of the</span>
+<span class="sd">            model. This can be used to manipulate the output shape to match</span>
+<span class="sd">            whatever padded shape the sup3r forward pass module expects. If</span>
+<span class="sd">            this differs from the t_enhance value based on model layers the</span>
+<span class="sd">            output will be padded so that the output shape matches low_res *</span>
+<span class="sd">            t_enhance for the time dimension.</span>
+<span class="sd">        **kwargs : Mappable</span>
+<span class="sd">            Keyword arguments for parent class</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_t_enhance</span> <span class="o">=</span> <span class="n">t_enhance</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">meta</span><span class="p">[</span><span class="s1">&#39;t_enhance&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_enhance</span>
+
+<div class="viewcode-block" id="SolarCC.init_weights">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.init_weights">[docs]</a>
+    <span class="k">def</span> <span class="nf">init_weights</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">lr_shape</span><span class="p">,</span> <span class="n">hr_shape</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize the generator and discriminator weights with device</span>
+<span class="sd">        placement.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        lr_shape : tuple</span>
+<span class="sd">            Shape of one batch of low res input data for sup3r resolution. Note</span>
+<span class="sd">            that the batch size (axis=0) must be included, but the actual batch</span>
+<span class="sd">            size doesn&#39;t really matter.</span>
+<span class="sd">        hr_shape : tuple</span>
+<span class="sd">            Shape of one batch of high res input data for sup3r resolution.</span>
+<span class="sd">            Note that the batch size (axis=0) must be included, but the actual</span>
+<span class="sd">            batch size doesn&#39;t really matter.</span>
+<span class="sd">        device : str | None</span>
+<span class="sd">            Option to place model weights on a device. If None,</span>
+<span class="sd">            self.default_device will be used.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="c1"># The high resolution data passed to the discriminator should only have</span>
+        <span class="c1"># daylight hours in the temporal axis=3</span>
+        <span class="k">if</span> <span class="n">hr_shape</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span> <span class="o">!=</span> <span class="bp">self</span><span class="o">.</span><span class="n">DAYLIGHT_HOURS</span><span class="p">:</span>
+            <span class="n">hr_shape</span> <span class="o">=</span> <span class="n">hr_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">3</span><span class="p">]</span> <span class="o">+</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">DAYLIGHT_HOURS</span><span class="p">,)</span> <span class="o">+</span> <span class="n">hr_shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">:]</span>
+
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">init_weights</span><span class="p">(</span><span class="n">lr_shape</span><span class="p">,</span> <span class="n">hr_shape</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="n">device</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="SolarCC.calc_loss">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.calc_loss">[docs]</a>
+    <span class="nd">@tf</span><span class="o">.</span><span class="n">function</span>
+    <span class="k">def</span> <span class="nf">calc_loss</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">hi_res_true</span><span class="p">,</span>
+        <span class="n">hi_res_gen</span><span class="p">,</span>
+        <span class="n">weight_gen_advers</span><span class="o">=</span><span class="mf">0.001</span><span class="p">,</span>
+        <span class="n">train_gen</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+        <span class="n">train_disc</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate the GAN loss function using generated and true high</span>
+<span class="sd">        resolution data.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        hi_res_true : tf.Tensor</span>
+<span class="sd">            Ground truth high resolution spatiotemporal data.</span>
+<span class="sd">        hi_res_gen : tf.Tensor</span>
+<span class="sd">            Super-resolved high resolution spatiotemporal data generated by the</span>
+<span class="sd">            generative model.</span>
+<span class="sd">        weight_gen_advers : float</span>
+<span class="sd">            Weight factor for the adversarial loss component of the generator</span>
+<span class="sd">            vs. the discriminator.</span>
+<span class="sd">        train_gen : bool</span>
+<span class="sd">            True if generator is being trained, then loss=loss_gen</span>
+<span class="sd">        train_disc : bool</span>
+<span class="sd">            True if disc is being trained, then loss=loss_disc</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        loss : tf.Tensor</span>
+<span class="sd">            0D tensor representing the loss value for the network being trained</span>
+<span class="sd">            (either generator or one of the discriminators)</span>
+<span class="sd">        loss_details : dict</span>
+<span class="sd">            Namespace of the breakdown of loss components</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="n">hi_res_gen</span><span class="o">.</span><span class="n">shape</span> <span class="o">!=</span> <span class="n">hi_res_true</span><span class="o">.</span><span class="n">shape</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;The tensor shapes of the synthetic output </span><span class="si">{}</span><span class="s1"> and &#39;</span>
+                <span class="s1">&#39;true high res </span><span class="si">{}</span><span class="s1"> did not have matching shape! &#39;</span>
+                <span class="s1">&#39;Check the spatiotemporal enhancement multipliers in your &#39;</span>
+                <span class="s1">&#39;your model config and data handlers.&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="n">hi_res_gen</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">hi_res_true</span><span class="o">.</span><span class="n">shape</span>
+                <span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Special SolarCC model can only accept multi-day hourly &#39;</span>
+            <span class="s1">&#39;(multiple of 24) true / synthetic high res data in the axis=3 &#39;</span>
+            <span class="s1">&#39;position but received shape </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">hi_res_true</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="n">hi_res_true</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span> <span class="o">%</span> <span class="mi">24</span> <span class="o">==</span> <span class="mi">0</span>
+
+        <span class="n">t_len</span> <span class="o">=</span> <span class="n">hi_res_true</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span>
+        <span class="n">n_days</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">t_len</span> <span class="o">//</span> <span class="mi">24</span><span class="p">)</span>
+        <span class="n">day_slices</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="nb">slice</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">STARTING_HOUR</span> <span class="o">+</span> <span class="n">x</span><span class="p">,</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">STARTING_HOUR</span> <span class="o">+</span> <span class="n">x</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">DAYLIGHT_HOURS</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">24</span> <span class="o">*</span> <span class="n">n_days</span><span class="p">,</span> <span class="mi">24</span><span class="p">)</span>
+        <span class="p">]</span>
+
+        <span class="c1"># sample only daylight hours for disc training and gen content loss</span>
+        <span class="n">disc_out_true</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">disc_out_gen</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">loss_gen_content</span> <span class="o">=</span> <span class="mf">0.0</span>
+        <span class="k">for</span> <span class="n">tslice</span> <span class="ow">in</span> <span class="n">day_slices</span><span class="p">:</span>
+            <span class="n">disc_t</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_tf_discriminate</span><span class="p">(</span><span class="n">hi_res_true</span><span class="p">[:,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="n">tslice</span><span class="p">,</span> <span class="p">:])</span>
+            <span class="n">gen_c</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">calc_loss_gen_content</span><span class="p">(</span>
+                <span class="n">hi_res_true</span><span class="p">[:,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="n">tslice</span><span class="p">,</span> <span class="p">:],</span> <span class="n">hi_res_gen</span><span class="p">[:,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="n">tslice</span><span class="p">,</span> <span class="p">:]</span>
+            <span class="p">)</span>
+            <span class="n">disc_out_true</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">disc_t</span><span class="p">)</span>
+            <span class="n">loss_gen_content</span> <span class="o">+=</span> <span class="n">gen_c</span>
+
+        <span class="c1"># Randomly sample daylight windows from generated data. Better than</span>
+        <span class="c1"># strided samples covering full day because the random samples will</span>
+        <span class="c1"># provide an evenly balanced training set for the disc</span>
+        <span class="n">logits</span> <span class="o">=</span> <span class="p">[[</span><span class="mf">1.0</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span><span class="n">t_len</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">DAYLIGHT_HOURS</span><span class="p">)]</span>
+        <span class="n">time_samples</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">categorical</span><span class="p">(</span><span class="n">logits</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">day_slices</span><span class="p">))</span>
+        <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">day_slices</span><span class="p">)):</span>
+            <span class="n">t0</span> <span class="o">=</span> <span class="n">time_samples</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="n">i</span><span class="p">]</span>
+            <span class="n">t1</span> <span class="o">=</span> <span class="n">t0</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">DAYLIGHT_HOURS</span>
+            <span class="n">disc_g</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_tf_discriminate</span><span class="p">(</span><span class="n">hi_res_gen</span><span class="p">[:,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="n">t0</span><span class="p">:</span><span class="n">t1</span><span class="p">,</span> <span class="p">:])</span>
+            <span class="n">disc_out_gen</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">disc_g</span><span class="p">)</span>
+
+        <span class="n">disc_out_true</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">disc_out_true</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+        <span class="n">disc_out_gen</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">disc_out_gen</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+        <span class="n">loss_disc</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">calc_loss_disc</span><span class="p">(</span><span class="n">disc_out_true</span><span class="p">,</span> <span class="n">disc_out_gen</span><span class="p">)</span>
+
+        <span class="n">loss_gen_content</span> <span class="o">/=</span> <span class="nb">len</span><span class="p">(</span><span class="n">day_slices</span><span class="p">)</span>
+        <span class="n">loss_gen_advers</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">calc_loss_gen_advers</span><span class="p">(</span><span class="n">disc_out_gen</span><span class="p">)</span>
+        <span class="n">loss_gen</span> <span class="o">=</span> <span class="n">loss_gen_content</span> <span class="o">+</span> <span class="n">weight_gen_advers</span> <span class="o">*</span> <span class="n">loss_gen_advers</span>
+
+        <span class="n">loss</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="k">if</span> <span class="n">train_gen</span><span class="p">:</span>
+            <span class="n">loss</span> <span class="o">=</span> <span class="n">loss_gen</span>
+        <span class="k">elif</span> <span class="n">train_disc</span><span class="p">:</span>
+            <span class="n">loss</span> <span class="o">=</span> <span class="n">loss_disc</span>
+
+        <span class="n">loss_details</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="s1">&#39;loss_gen&#39;</span><span class="p">:</span> <span class="n">loss_gen</span><span class="p">,</span>
+            <span class="s1">&#39;loss_gen_content&#39;</span><span class="p">:</span> <span class="n">loss_gen_content</span><span class="p">,</span>
+            <span class="s1">&#39;loss_gen_advers&#39;</span><span class="p">:</span> <span class="n">loss_gen_advers</span><span class="p">,</span>
+            <span class="s1">&#39;loss_disc&#39;</span><span class="p">:</span> <span class="n">loss_disc</span><span class="p">,</span>
+        <span class="p">}</span>
+
+        <span class="k">return</span> <span class="n">loss</span><span class="p">,</span> <span class="n">loss_details</span></div>
+
+
+<div class="viewcode-block" id="SolarCC.temporal_pad">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.temporal_pad">[docs]</a>
+    <span class="k">def</span> <span class="nf">temporal_pad</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">low_res</span><span class="p">,</span> <span class="n">hi_res</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;reflect&#39;</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Optionally add temporal padding to the 5D generated output array</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        low_res : np.ndarray</span>
+<span class="sd">            Low-resolution input data to the spatio(temporal) GAN, which is a</span>
+<span class="sd">            5D array of shape: (1, spatial_1, spatial_2, n_temporal,</span>
+<span class="sd">            n_features).</span>
+<span class="sd">        hi_res : ndarray</span>
+<span class="sd">            Synthetically generated high-resolution data output from the</span>
+<span class="sd">            (spatio)temporal GAN with a 5D array shape:</span>
+<span class="sd">            (1, spatial_1, spatial_2, n_temporal, n_features)</span>
+<span class="sd">        mode : str</span>
+<span class="sd">            Padding mode for np.pad()</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        hi_res : ndarray</span>
+<span class="sd">            Synthetically generated high-resolution data output from the</span>
+<span class="sd">            (spatio)temporal GAN with a 5D array shape:</span>
+<span class="sd">            (1, spatial_1, spatial_2, n_temporal, n_features)</span>
+<span class="sd">            With the temporal axis padded with self._temporal_pad on either</span>
+<span class="sd">            side.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">t_shape</span> <span class="o">=</span> <span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">2</span><span class="p">]</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_enhance</span>
+        <span class="n">t_pad</span> <span class="o">=</span> <span class="nb">int</span><span class="p">((</span><span class="n">t_shape</span> <span class="o">-</span> <span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">2</span><span class="p">])</span> <span class="o">/</span> <span class="mi">2</span><span class="p">)</span>
+        <span class="n">pad_width</span> <span class="o">=</span> <span class="p">((</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">),</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">),</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">),</span> <span class="p">(</span><span class="n">t_pad</span><span class="p">,</span> <span class="n">t_pad</span><span class="p">),</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</span>
+        <span class="n">prepad_shape</span> <span class="o">=</span> <span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span>
+        <span class="n">hi_res</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">pad</span><span class="p">(</span><span class="n">hi_res</span><span class="p">,</span> <span class="n">pad_width</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="n">mode</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+            <span class="s1">&#39;Padded hi_res output from </span><span class="si">%s</span><span class="s1"> to </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">prepad_shape</span><span class="p">,</span> <span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="n">hi_res</span></div>
+
+
+<div class="viewcode-block" id="SolarCC.generate">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.generate">[docs]</a>
+    <span class="k">def</span> <span class="nf">generate</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">low_res</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Override parent method to apply padding on high res output.&quot;&quot;&quot;</span>
+
+        <span class="n">hi_res</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">temporal_pad</span><span class="p">(</span>
+            <span class="n">low_res</span><span class="p">,</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">generate</span><span class="p">(</span><span class="n">low_res</span><span class="o">=</span><span class="n">low_res</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+        <span class="p">)</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Final SolarCC output has shape: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span><span class="p">))</span>
+
+        <span class="k">return</span> <span class="n">hi_res</span></div>
+
+
+<div class="viewcode-block" id="SolarCC.load">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.load">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">model_dir</span><span class="p">,</span> <span class="n">t_enhance</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Load the GAN with its sub-networks from a previously saved-to output</span>
+<span class="sd">        directory.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        model_dir : str</span>
+<span class="sd">            Directory to load GAN model files from.</span>
+<span class="sd">        t_enhance : int | None</span>
+<span class="sd">            Optional argument to fix or update the temporal enhancement of the</span>
+<span class="sd">            model. This can be used to manipulate the output shape to match</span>
+<span class="sd">            whatever padded shape the sup3r forward pass module expects. If</span>
+<span class="sd">            this differs from the t_enhance value based on model layers the</span>
+<span class="sd">            output will be padded so that the output shape matches low_res *</span>
+<span class="sd">            t_enhance for the time dimension.</span>
+<span class="sd">        verbose : bool</span>
+<span class="sd">            Flag to log information about the loaded model.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out : BaseModel</span>
+<span class="sd">            Returns a pretrained gan model that was previously saved to out_dir</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">fp_gen</span><span class="p">,</span> <span class="n">fp_disc</span><span class="p">,</span> <span class="n">params</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">_load</span><span class="p">(</span><span class="n">model_dir</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">cls</span><span class="p">(</span><span class="n">fp_gen</span><span class="p">,</span> <span class="n">fp_disc</span><span class="p">,</span> <span class="n">t_enhance</span><span class="o">=</span><span class="n">t_enhance</span><span class="p">,</span> <span class="o">**</span><span class="n">params</span><span class="p">)</span></div>
+</div>
+
+</pre></div>
+
+                </article>
+              
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+  <h1>Source code for sup3r.models.surface</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Special models for surface meteorological data.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">from</span> <span class="nn">fnmatch</span> <span class="kn">import</span> <span class="n">fnmatch</span>
+<span class="kn">from</span> <span class="nn">warnings</span> <span class="kn">import</span> <span class="n">warn</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">from</span> <span class="nn">PIL</span> <span class="kn">import</span> <span class="n">Image</span>
+<span class="kn">from</span> <span class="nn">sklearn</span> <span class="kn">import</span> <span class="n">linear_model</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.utilities.utilities</span> <span class="kn">import</span> <span class="n">RANDOM_GENERATOR</span><span class="p">,</span> <span class="n">spatial_coarsening</span>
+
+<span class="kn">from</span> <span class="nn">.linear</span> <span class="kn">import</span> <span class="n">LinearInterp</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="SurfaceSpatialMetModel">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel">[docs]</a>
+<span class="k">class</span> <span class="nc">SurfaceSpatialMetModel</span><span class="p">(</span><span class="n">LinearInterp</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Model to spatially downscale daily-average near-surface temperature,</span>
+<span class="sd">    relative humidity, and pressure</span>
+
+<span class="sd">    Note that this model can also operate on temperature_*m,</span>
+<span class="sd">    relativehumidity_*m, and pressure_*m datasets that are not</span>
+<span class="sd">    strictly at the surface but could be near hub height.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">TEMP_LAPSE</span> <span class="o">=</span> <span class="mf">6.5</span> <span class="o">/</span> <span class="mi">1000</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Temperature lapse rate: change in degrees C/K per meter&quot;&quot;&quot;</span>
+
+    <span class="n">PRES_DIV</span> <span class="o">=</span> <span class="mf">44307.69231</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Air pressure scaling equation divisor variable:</span>
+<span class="sd">    101325 * (1 - (1 - topo / PRES_DIV)**PRES_EXP)&quot;&quot;&quot;</span>
+
+    <span class="n">PRES_EXP</span> <span class="o">=</span> <span class="mf">5.25328</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Air pressure scaling equation exponent variable:</span>
+<span class="sd">    101325 * (1 - (1 - topo / PRES_DIV)**PRES_EXP)&quot;&quot;&quot;</span>
+
+    <span class="n">W_DELTA_TEMP</span> <span class="o">=</span> <span class="o">-</span><span class="mf">3.99242830</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Weight for the delta-temperature feature for the relative humidity</span>
+<span class="sd">    linear regression model.&quot;&quot;&quot;</span>
+
+    <span class="n">W_DELTA_TOPO</span> <span class="o">=</span> <span class="o">-</span><span class="mf">0.01736911</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Weight for the delta-topography feature for the relative humidity linear</span>
+<span class="sd">    regression model.&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">lr_features</span><span class="p">,</span>
+        <span class="n">s_enhance</span><span class="p">,</span>
+        <span class="n">noise_adders</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">temp_lapse</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">w_delta_temp</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">w_delta_topo</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">pres_div</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">pres_exp</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">interp_method</span><span class="o">=</span><span class="s1">&#39;LANCZOS&#39;</span><span class="p">,</span>
+        <span class="n">input_resolution</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">fix_bias</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        lr_features : list</span>
+<span class="sd">            List of feature names that this model will operate on for both</span>
+<span class="sd">            input and output. This must match the feature axis ordering in the</span>
+<span class="sd">            array input to generate(). Typically this is a list containing:</span>
+<span class="sd">            temperature_*m, relativehumidity_*m, and pressure_*m. The list can</span>
+<span class="sd">            contain multiple instances of each variable at different heights.</span>
+<span class="sd">            relativehumidity_*m entries must have corresponding temperature_*m</span>
+<span class="sd">            entires at the same hub height.</span>
+<span class="sd">        s_enhance : int</span>
+<span class="sd">            Integer factor by which the spatial axes are to be enhanced.</span>
+<span class="sd">        noise_adders : float | list | None</span>
+<span class="sd">            Option to add gaussian noise to spatial model output. Noise will be</span>
+<span class="sd">            normally distributed with mean of 0 and standard deviation =</span>
+<span class="sd">            noise_adders. noise_adders can be a single value or a list</span>
+<span class="sd">            corresponding to the lr_features list. None is no noise. The</span>
+<span class="sd">            addition of noise has been shown to help downstream temporal-only</span>
+<span class="sd">            models produce diurnal cycles in regions where there is minimal</span>
+<span class="sd">            change in topography. A noise_adders around 0.07C (temperature) and</span>
+<span class="sd">            0.1% (relative humidity) have been shown to be effective. This is</span>
+<span class="sd">            unnecessary if daily min/max temperatures are provided as low res</span>
+<span class="sd">            training features.</span>
+<span class="sd">        temp_lapse : None | float</span>
+<span class="sd">            Temperature lapse rate: change in degrees C/K per meter. Defaults</span>
+<span class="sd">            to the cls.TEMP_LAPSE attribute.</span>
+<span class="sd">        w_delta_temp : None | float</span>
+<span class="sd">            Weight for the delta-temperature feature for the relative humidity</span>
+<span class="sd">            linear regression model. Defaults to the cls.W_DELTA_TEMP</span>
+<span class="sd">            attribute.</span>
+<span class="sd">        w_delta_topo : None | float</span>
+<span class="sd">            Weight for the delta-topography feature for the relative humidity</span>
+<span class="sd">            linear regression model. Defaults to the cls.W_DELTA_TOPO</span>
+<span class="sd">            attribute.</span>
+<span class="sd">        pres_div : None | float</span>
+<span class="sd">            Divisor factor in the pressure scale height equation. Defaults to</span>
+<span class="sd">            the cls.PRES_DIV attribute.</span>
+<span class="sd">        pres_exp : None | float</span>
+<span class="sd">            Exponential factor in the pressure scale height equation. Defaults</span>
+<span class="sd">            to the cls.PRES_EXP attribute.</span>
+<span class="sd">        interp_method : str</span>
+<span class="sd">            Name of the interpolation method to use from PIL.Image.Resampling</span>
+<span class="sd">            (NEAREST, BILINEAR, BICUBIC, LANCZOS)</span>
+<span class="sd">            LANCZOS is default and has been tested to work best for</span>
+<span class="sd">            SurfaceSpatialMetModel.</span>
+<span class="sd">        fix_bias : bool</span>
+<span class="sd">            Some local bias can be introduced by the bilinear interp + lapse</span>
+<span class="sd">            rate, this flag will attempt to correct that bias by using the</span>
+<span class="sd">            low-resolution deviation from the input data</span>
+<span class="sd">        input_resolution : dict | None</span>
+<span class="sd">            Resolution of the input data. e.g. {&#39;spatial&#39;: &#39;30km&#39;, &#39;temporal&#39;:</span>
+<span class="sd">            &#39;60min&#39;}. This is used to determine how to aggregate</span>
+<span class="sd">            high-resolution topography data.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_lr_features</span> <span class="o">=</span> <span class="n">lr_features</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span> <span class="o">=</span> <span class="n">s_enhance</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_noise_adders</span> <span class="o">=</span> <span class="n">noise_adders</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_temp_lapse</span> <span class="o">=</span> <span class="n">temp_lapse</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">TEMP_LAPSE</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_w_delta_temp</span> <span class="o">=</span> <span class="n">w_delta_temp</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">W_DELTA_TEMP</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_w_delta_topo</span> <span class="o">=</span> <span class="n">w_delta_topo</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">W_DELTA_TOPO</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_pres_div</span> <span class="o">=</span> <span class="n">pres_div</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">PRES_DIV</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_pres_exp</span> <span class="o">=</span> <span class="n">pres_exp</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">PRES_EXP</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_fix_bias</span> <span class="o">=</span> <span class="n">fix_bias</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_input_resolution</span> <span class="o">=</span> <span class="n">input_resolution</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_interp_name</span> <span class="o">=</span> <span class="n">interp_method</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_interp_method</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">Image</span><span class="o">.</span><span class="n">Resampling</span><span class="p">,</span> <span class="n">interp_method</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_noise_adders</span><span class="p">,</span> <span class="p">(</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">)):</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_noise_adders</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_noise_adders</span><span class="p">]</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_lr_features</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="fm">__len__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get number of model steps (match interface of MultiStepGan)&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="mi">1</span>
+
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">_get_s_enhance</span><span class="p">(</span><span class="n">topo_lr</span><span class="p">,</span> <span class="n">topo_hr</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the spatial enhancement factor given low-res and high-res</span>
+<span class="sd">        spatial rasters.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        topo_lr : np.ndarray</span>
+<span class="sd">            low-resolution surface elevation data in meters with shape</span>
+<span class="sd">            (lat, lon)</span>
+<span class="sd">        topo_hr : np.ndarray</span>
+<span class="sd">            High-resolution surface elevation data in meters with shape</span>
+<span class="sd">            (lat, lon)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        s_enhance : int</span>
+<span class="sd">            Integer factor by which the spatial axes are to be enhanced.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">topo_lr</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;topo_lr must be 2D&#39;</span>
+        <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">topo_hr</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;topo_hr must be 2D&#39;</span>
+
+        <span class="n">se0</span> <span class="o">=</span> <span class="n">topo_hr</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">/</span> <span class="n">topo_lr</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+        <span class="n">se1</span> <span class="o">=</span> <span class="n">topo_hr</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">/</span> <span class="n">topo_lr</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+
+        <span class="k">assert</span> <span class="n">se0</span> <span class="o">%</span> <span class="mi">1</span> <span class="o">==</span> <span class="mi">0</span><span class="p">,</span> <span class="sa">f</span><span class="s1">&#39;Bad calculated s_enhance on axis 0: </span><span class="si">{</span><span class="n">se0</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="k">assert</span> <span class="n">se1</span> <span class="o">%</span> <span class="mi">1</span> <span class="o">==</span> <span class="mi">0</span><span class="p">,</span> <span class="sa">f</span><span class="s1">&#39;Bad calculated s_enhance on axis 1: </span><span class="si">{</span><span class="n">se1</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="k">assert</span> <span class="n">se0</span> <span class="o">==</span> <span class="n">se1</span><span class="p">,</span> <span class="s1">&#39;Calculated s_enhance does not match along axis&#39;</span>
+
+        <span class="k">return</span> <span class="nb">int</span><span class="p">(</span><span class="n">se0</span><span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">feature_inds_temp</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the feature index values for the temperature features.&quot;&quot;&quot;</span>
+        <span class="n">inds</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="n">i</span>
+            <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">name</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_lr_features</span><span class="p">)</span>
+            <span class="k">if</span> <span class="n">fnmatch</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="s1">&#39;temperature_*&#39;</span><span class="p">)</span>
+        <span class="p">]</span>
+        <span class="k">return</span> <span class="n">inds</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">feature_inds_pres</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the feature index values for the pressure features.&quot;&quot;&quot;</span>
+        <span class="n">inds</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="n">i</span>
+            <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">name</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_lr_features</span><span class="p">)</span>
+            <span class="k">if</span> <span class="n">fnmatch</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="s1">&#39;pressure_*&#39;</span><span class="p">)</span>
+        <span class="p">]</span>
+        <span class="k">return</span> <span class="n">inds</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">feature_inds_rh</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the feature index values for the relative humidity features.&quot;&quot;&quot;</span>
+        <span class="n">inds</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="n">i</span>
+            <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">name</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_lr_features</span><span class="p">)</span>
+            <span class="k">if</span> <span class="n">fnmatch</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="s1">&#39;relativehumidity_*&#39;</span><span class="p">)</span>
+        <span class="p">]</span>
+        <span class="k">return</span> <span class="n">inds</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">feature_inds_other</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the feature index values for the features that are not</span>
+<span class="sd">        temperature, pressure, or relativehumidity.&quot;&quot;&quot;</span>
+        <span class="n">finds_tprh</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">feature_inds_temp</span>
+            <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">feature_inds_pres</span>
+            <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">feature_inds_rh</span>
+        <span class="p">)</span>
+        <span class="n">inds</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="n">i</span>
+            <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">name</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_lr_features</span><span class="p">)</span>
+            <span class="k">if</span> <span class="n">i</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">finds_tprh</span>
+        <span class="p">]</span>
+        <span class="k">return</span> <span class="n">inds</span>
+
+    <span class="k">def</span> <span class="nf">_get_temp_rh_ind</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">idf_rh</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the feature index value for the temperature feature</span>
+<span class="sd">        corresponding to a relative humidity feature at the same hub height.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        idf_rh : int</span>
+<span class="sd">            Index in the feature list for a relativehumidity_*m feature</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        idf_temp : int</span>
+<span class="sd">            Index in the feature list for a temperature_*m feature with the</span>
+<span class="sd">            same hub height as the idf_rh input.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">name_rh</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_lr_features</span><span class="p">[</span><span class="n">idf_rh</span><span class="p">]</span>
+        <span class="n">hh_suffix</span> <span class="o">=</span> <span class="n">name_rh</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;_&#39;</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+        <span class="n">idf_temp</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">feature_inds_temp</span><span class="p">:</span>
+            <span class="n">same_hh</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_lr_features</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">endswith</span><span class="p">(</span><span class="n">hh_suffix</span><span class="p">)</span>
+            <span class="n">not_minmax</span> <span class="o">=</span> <span class="ow">not</span> <span class="nb">any</span><span class="p">(</span><span class="n">mm</span> <span class="ow">in</span> <span class="n">name_rh</span> <span class="k">for</span> <span class="n">mm</span> <span class="ow">in</span> <span class="p">(</span><span class="s1">&#39;_min_&#39;</span><span class="p">,</span> <span class="s1">&#39;_max_&#39;</span><span class="p">))</span>
+            <span class="n">both_mins</span> <span class="o">=</span> <span class="s1">&#39;_min_&#39;</span> <span class="ow">in</span> <span class="n">name_rh</span> <span class="ow">and</span> <span class="s1">&#39;_min_&#39;</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_lr_features</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
+            <span class="n">both_maxs</span> <span class="o">=</span> <span class="s1">&#39;_max_&#39;</span> <span class="ow">in</span> <span class="n">name_rh</span> <span class="ow">and</span> <span class="s1">&#39;_max_&#39;</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_lr_features</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
+
+            <span class="k">if</span> <span class="n">same_hh</span> <span class="ow">and</span> <span class="p">(</span><span class="n">not_minmax</span> <span class="ow">or</span> <span class="n">both_mins</span> <span class="ow">or</span> <span class="n">both_maxs</span><span class="p">):</span>
+                <span class="n">idf_temp</span> <span class="o">=</span> <span class="n">i</span>
+                <span class="k">break</span>
+
+        <span class="k">if</span> <span class="n">idf_temp</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Could not find temperature feature corresponding to &#39;</span>
+                <span class="s1">&#39;&quot;</span><span class="si">{}</span><span class="s1">&quot; in feature list: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">name_rh</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_lr_features</span><span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">KeyError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">idf_temp</span>
+
+<div class="viewcode-block" id="SurfaceSpatialMetModel.fix_downscaled_bias">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.fix_downscaled_bias">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">fix_downscaled_bias</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span> <span class="n">single_lr</span><span class="p">,</span> <span class="n">single_hr</span><span class="p">,</span> <span class="n">method</span><span class="o">=</span><span class="n">Image</span><span class="o">.</span><span class="n">Resampling</span><span class="o">.</span><span class="n">LANCZOS</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Fix any bias introduced by the spatial downscaling with lapse rate.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        single_lr : np.ndarray</span>
+<span class="sd">            Single timestep raster data with shape</span>
+<span class="sd">            (lat, lon) matching the low-resolution input data.</span>
+<span class="sd">        single_hr : np.ndarray</span>
+<span class="sd">            Single timestep downscaled raster data with shape</span>
+<span class="sd">            (lat, lon) matching the high-resolution input data.</span>
+<span class="sd">        method : Image.Resampling.LANCZOS</span>
+<span class="sd">            An Image.Resampling method (NEAREST, BILINEAR, BICUBIC, LANCZOS).</span>
+<span class="sd">            NEAREST enforces zero bias but makes slightly more spatial seams.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        single_hr : np.ndarray</span>
+<span class="sd">            Single timestep downscaled raster data with shape</span>
+<span class="sd">            (lat, lon) matching the high-resolution input data.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">s_enhance</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">single_hr</span><span class="p">)</span> <span class="o">//</span> <span class="nb">len</span><span class="p">(</span><span class="n">single_lr</span><span class="p">)</span>
+        <span class="n">re_coarse</span> <span class="o">=</span> <span class="n">spatial_coarsening</span><span class="p">(</span>
+            <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">single_hr</span><span class="p">,</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">),</span>
+            <span class="n">s_enhance</span><span class="o">=</span><span class="n">s_enhance</span><span class="p">,</span>
+            <span class="n">obs_axis</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+        <span class="p">)[</span><span class="o">...</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span>
+        <span class="n">bias</span> <span class="o">=</span> <span class="n">re_coarse</span> <span class="o">-</span> <span class="n">single_lr</span>
+        <span class="n">bc</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">downscale_arr</span><span class="p">(</span><span class="n">bias</span><span class="p">,</span> <span class="n">s_enhance</span><span class="o">=</span><span class="n">s_enhance</span><span class="p">,</span> <span class="n">method</span><span class="o">=</span><span class="n">method</span><span class="p">)</span>
+        <span class="n">single_hr</span> <span class="o">-=</span> <span class="n">bc</span>
+        <span class="k">return</span> <span class="n">single_hr</span></div>
+
+
+<div class="viewcode-block" id="SurfaceSpatialMetModel.downscale_arr">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.downscale_arr">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">downscale_arr</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span> <span class="n">arr</span><span class="p">,</span> <span class="n">s_enhance</span><span class="p">,</span> <span class="n">method</span><span class="o">=</span><span class="n">Image</span><span class="o">.</span><span class="n">Resampling</span><span class="o">.</span><span class="n">LANCZOS</span><span class="p">,</span> <span class="n">fix_bias</span><span class="o">=</span><span class="kc">False</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Downscale a 2D array of data Image.resize() method</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        arr : np.ndarray</span>
+<span class="sd">            2D raster data, typically spatial daily average data with shape</span>
+<span class="sd">            (lat, lon)</span>
+<span class="sd">        s_enhance : int</span>
+<span class="sd">            Integer factor by which the spatial axes are to be enhanced.</span>
+<span class="sd">        method : Image.Resampling.LANCZOS</span>
+<span class="sd">            An Image.Resampling method (NEAREST, BILINEAR, BICUBIC, LANCZOS).</span>
+<span class="sd">            LANCZOS is default and has been tested to work best for</span>
+<span class="sd">            SurfaceSpatialMetModel.</span>
+<span class="sd">        fix_bias : bool</span>
+<span class="sd">            Some local bias can be introduced by the bilinear interp + lapse</span>
+<span class="sd">            rate, this flag will attempt to correct that bias by using the</span>
+<span class="sd">            low-resolution deviation from the input data</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">im</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">fromarray</span><span class="p">(</span><span class="n">arr</span><span class="p">)</span>
+        <span class="n">im</span> <span class="o">=</span> <span class="n">im</span><span class="o">.</span><span class="n">resize</span><span class="p">(</span>
+            <span class="p">(</span><span class="n">arr</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">*</span> <span class="n">s_enhance</span><span class="p">,</span> <span class="n">arr</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">*</span> <span class="n">s_enhance</span><span class="p">),</span>
+            <span class="n">resample</span><span class="o">=</span><span class="n">method</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">im</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">fix_bias</span><span class="p">:</span>
+            <span class="n">out</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">fix_downscaled_bias</span><span class="p">(</span><span class="n">arr</span><span class="p">,</span> <span class="n">out</span><span class="p">,</span> <span class="n">method</span><span class="o">=</span><span class="n">method</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">out</span></div>
+
+
+<div class="viewcode-block" id="SurfaceSpatialMetModel.downscale_temp">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.downscale_temp">[docs]</a>
+    <span class="k">def</span> <span class="nf">downscale_temp</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">single_lr_temp</span><span class="p">,</span> <span class="n">topo_lr</span><span class="p">,</span> <span class="n">topo_hr</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Downscale temperature raster data at a single observation.</span>
+
+<span class="sd">        This model uses a simple lapse rate that adjusts temperature as a</span>
+<span class="sd">        function of elevation. The process is as follows:</span>
+<span class="sd">            - add a scale factor to the low-res temperature field:</span>
+<span class="sd">              topo_lr * TEMP_LAPSE</span>
+<span class="sd">            - perform bilinear interpolation of the scaled temperature field.</span>
+<span class="sd">            - subtract the scale factor from the high-res temperature field:</span>
+<span class="sd">              topo_hr * TEMP_LAPSE</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        single_lr_temp : np.ndarray</span>
+<span class="sd">            Single timestep temperature (deg C) raster data with shape</span>
+<span class="sd">            (lat, lon) matching the low-resolution input data.</span>
+<span class="sd">        topo_lr : np.ndarray</span>
+<span class="sd">            low-resolution surface elevation data in meters with shape</span>
+<span class="sd">            (lat, lon)</span>
+<span class="sd">        topo_hr : np.ndarray</span>
+<span class="sd">            High-resolution surface elevation data in meters with shape</span>
+<span class="sd">            (lat, lon)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        hi_res_temp : np.ndarray</span>
+<span class="sd">            Single timestep temperature (deg C) raster data with shape</span>
+<span class="sd">            (lat, lon) matching the high-resolution output data.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">single_lr_temp</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;Bad shape for single_lr_temp&#39;</span>
+        <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">topo_lr</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;Bad shape for topo_lr&#39;</span>
+        <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">topo_hr</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;Bad shape for topo_hr&#39;</span>
+
+        <span class="n">lower_data</span> <span class="o">=</span> <span class="n">single_lr_temp</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> <span class="o">+</span> <span class="n">topo_lr</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">_temp_lapse</span>
+        <span class="n">hi_res_temp</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">downscale_arr</span><span class="p">(</span>
+            <span class="n">lower_data</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">,</span> <span class="n">method</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_interp_method</span>
+        <span class="p">)</span>
+        <span class="n">hi_res_temp</span> <span class="o">-=</span> <span class="n">topo_hr</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">_temp_lapse</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_fix_bias</span><span class="p">:</span>
+            <span class="n">hi_res_temp</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">fix_downscaled_bias</span><span class="p">(</span>
+                <span class="n">single_lr_temp</span><span class="p">,</span> <span class="n">hi_res_temp</span><span class="p">,</span> <span class="n">method</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_interp_method</span>
+            <span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">hi_res_temp</span></div>
+
+
+<div class="viewcode-block" id="SurfaceSpatialMetModel.downscale_rh">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.downscale_rh">[docs]</a>
+    <span class="k">def</span> <span class="nf">downscale_rh</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span> <span class="n">single_lr_rh</span><span class="p">,</span> <span class="n">single_lr_temp</span><span class="p">,</span> <span class="n">single_hr_temp</span><span class="p">,</span> <span class="n">topo_lr</span><span class="p">,</span> <span class="n">topo_hr</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Downscale relative humidity raster data at a single observation.</span>
+
+<span class="sd">        Here&#39;s a description of the humidity scaling model:</span>
+<span class="sd">            - Take low-resolution and high-resolution daily average</span>
+<span class="sd">              temperature, relative humidity, and topography data.</span>
+<span class="sd">            - Downscale all low-resolution variables using a bilinear image</span>
+<span class="sd">              enhancement</span>
+<span class="sd">            - The target model output is the difference between the</span>
+<span class="sd">              interpolated low-res relative humidity and the true high-res</span>
+<span class="sd">              relative humidity. Calculate this difference as a linear function</span>
+<span class="sd">              of the same difference in the temperature and topography fields.</span>
+<span class="sd">            - Use this linear regression model to calculate high-res relative</span>
+<span class="sd">              humidity fields when provided low-res input of relative humidity</span>
+<span class="sd">              along with low-res/high-res pairs of temperature and topography.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        single_lr_rh : np.ndarray</span>
+<span class="sd">            Single timestep relative humidity (%) raster data with shape</span>
+<span class="sd">            (lat, lon) matching the low-resolution input data.</span>
+<span class="sd">        single_lr_temp : np.ndarray</span>
+<span class="sd">            Single timestep temperature (deg C) raster data with shape</span>
+<span class="sd">            (lat, lon) matching the low-resolution input data.</span>
+<span class="sd">        single_hr_temp : np.ndarray</span>
+<span class="sd">            Single timestep temperature (deg C) raster data with shape</span>
+<span class="sd">            (lat, lon) matching the high-resolution output data.</span>
+<span class="sd">        topo_lr : np.ndarray</span>
+<span class="sd">            low-resolution surface elevation data in meters with shape</span>
+<span class="sd">            (lat, lon)</span>
+<span class="sd">        topo_hr : np.ndarray</span>
+<span class="sd">            High-resolution surface elevation data in meters with shape</span>
+<span class="sd">            (lat, lon)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        hi_res_rh : np.ndarray</span>
+<span class="sd">            Single timestep relative humidity (%) raster data with shape</span>
+<span class="sd">            (lat, lon) matching the high-resolution output data.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">single_lr_rh</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;Bad shape for single_lr_rh&#39;</span>
+        <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">single_hr_temp</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;Bad shape for single_hr_temp&#39;</span>
+        <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">topo_lr</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;Bad shape for topo_lr&#39;</span>
+        <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">topo_hr</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;Bad shape for topo_hr&#39;</span>
+
+        <span class="n">interp_rh</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">downscale_arr</span><span class="p">(</span>
+            <span class="n">single_lr_rh</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">,</span> <span class="n">method</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_interp_method</span>
+        <span class="p">)</span>
+        <span class="n">interp_temp</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">downscale_arr</span><span class="p">(</span>
+            <span class="n">single_lr_temp</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">,</span> <span class="n">method</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_interp_method</span>
+        <span class="p">)</span>
+        <span class="n">interp_topo</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">downscale_arr</span><span class="p">(</span>
+            <span class="n">topo_lr</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">,</span> <span class="n">method</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_interp_method</span>
+        <span class="p">)</span>
+
+        <span class="n">delta_temp</span> <span class="o">=</span> <span class="n">single_hr_temp</span> <span class="o">-</span> <span class="n">interp_temp</span>
+        <span class="n">delta_topo</span> <span class="o">=</span> <span class="n">topo_hr</span> <span class="o">-</span> <span class="n">interp_topo</span>
+
+        <span class="n">hi_res_rh</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">interp_rh</span>
+            <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">_w_delta_temp</span> <span class="o">*</span> <span class="n">delta_temp</span>
+            <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">_w_delta_topo</span> <span class="o">*</span> <span class="n">delta_topo</span>
+        <span class="p">)</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_fix_bias</span><span class="p">:</span>
+            <span class="n">hi_res_rh</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">fix_downscaled_bias</span><span class="p">(</span>
+                <span class="n">single_lr_rh</span><span class="p">,</span> <span class="n">hi_res_rh</span><span class="p">,</span> <span class="n">method</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_interp_method</span>
+            <span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">hi_res_rh</span></div>
+
+
+<div class="viewcode-block" id="SurfaceSpatialMetModel.downscale_pres">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.downscale_pres">[docs]</a>
+    <span class="k">def</span> <span class="nf">downscale_pres</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">single_lr_pres</span><span class="p">,</span> <span class="n">topo_lr</span><span class="p">,</span> <span class="n">topo_hr</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Downscale pressure raster data at a single observation.</span>
+
+<span class="sd">        This model uses a simple exponential scale height that adjusts</span>
+<span class="sd">        temperature as a function of elevation. The process is as follows:</span>
+<span class="sd">            - add a scale factor to the low-res pressure field:</span>
+<span class="sd">              101325 * (1 - (1 - topo_lr / PRES_DIV)**PRES_EXP)</span>
+<span class="sd">            - perform bilinear interpolation of the scaled pressure field.</span>
+<span class="sd">            - subtract the scale factor from the high-res pressure field:</span>
+<span class="sd">              101325 * (1 - (1 - topo_hr / PRES_DIV)**PRES_EXP)</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        single_lr_pres : np.ndarray</span>
+<span class="sd">            Single timestep pressure (Pa) raster data with shape</span>
+<span class="sd">            (lat, lon) matching the low-resolution input data.</span>
+<span class="sd">        topo_lr : np.ndarray</span>
+<span class="sd">            low-resolution surface elevation data in meters with shape</span>
+<span class="sd">            (lat, lon)</span>
+<span class="sd">        topo_hr : np.ndarray</span>
+<span class="sd">            High-resolution surface elevation data in meters with shape</span>
+<span class="sd">            (lat, lon)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        hi_res_pres : np.ndarray</span>
+<span class="sd">            Single timestep pressure (Pa) raster data with shape</span>
+<span class="sd">            (lat, lon) matching the high-resolution output data.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">single_lr_pres</span><span class="p">)</span> <span class="o">&lt;</span> <span class="mi">10000</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Pressure data appears to not be in Pa with min/mean/max: &#39;</span>
+                <span class="s1">&#39;</span><span class="si">{:.1f}</span><span class="s1">/</span><span class="si">{:.1f}</span><span class="s1">/</span><span class="si">{:.1f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="n">single_lr_pres</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span>
+                    <span class="n">single_lr_pres</span><span class="o">.</span><span class="n">mean</span><span class="p">(),</span>
+                    <span class="n">single_lr_pres</span><span class="o">.</span><span class="n">max</span><span class="p">(),</span>
+                <span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="n">const</span> <span class="o">=</span> <span class="mi">101325</span> <span class="o">*</span> <span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">topo_lr</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">_pres_div</span><span class="p">)</span> <span class="o">**</span> <span class="bp">self</span><span class="o">.</span><span class="n">_pres_exp</span><span class="p">)</span>
+        <span class="n">lr_pres_adj</span> <span class="o">=</span> <span class="n">single_lr_pres</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> <span class="o">+</span> <span class="n">const</span>
+
+        <span class="k">if</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">lr_pres_adj</span><span class="p">)</span> <span class="o">&lt;</span> <span class="mf">0.0</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Spatial interpolation of surface pressure &#39;</span>
+                <span class="s1">&#39;resulted in negative values. Incorrectly &#39;</span>
+                <span class="s1">&#39;scaled/unscaled values or incorrect units are &#39;</span>
+                <span class="s1">&#39;the most likely causes. All pressure data should be &#39;</span>
+                <span class="s1">&#39;in Pascals.&#39;</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="n">hi_res_pres</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">downscale_arr</span><span class="p">(</span>
+            <span class="n">lr_pres_adj</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">,</span> <span class="n">method</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_interp_method</span>
+        <span class="p">)</span>
+
+        <span class="n">const</span> <span class="o">=</span> <span class="mi">101325</span> <span class="o">*</span> <span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">topo_hr</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">_pres_div</span><span class="p">)</span> <span class="o">**</span> <span class="bp">self</span><span class="o">.</span><span class="n">_pres_exp</span><span class="p">)</span>
+        <span class="n">hi_res_pres</span> <span class="o">-=</span> <span class="n">const</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_fix_bias</span><span class="p">:</span>
+            <span class="n">hi_res_pres</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">fix_downscaled_bias</span><span class="p">(</span>
+                <span class="n">single_lr_pres</span><span class="p">,</span> <span class="n">hi_res_pres</span><span class="p">,</span> <span class="n">method</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_interp_method</span>
+            <span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">hi_res_pres</span><span class="p">)</span> <span class="o">&lt;</span> <span class="mf">0.0</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Spatial interpolation of surface pressure &#39;</span>
+                <span class="s1">&#39;resulted in negative values. Incorrectly &#39;</span>
+                <span class="s1">&#39;scaled/unscaled values or incorrect units are &#39;</span>
+                <span class="s1">&#39;the most likely causes.&#39;</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">hi_res_pres</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">input_dims</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get dimension of model input. This is 4 for linear and surface</span>
+<span class="sd">        models (n_obs, spatial_1, spatial_2, temporal)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        int</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="mi">4</span>
+
+    <span class="k">def</span> <span class="nf">_get_topo_from_exo</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">exogenous_data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get lr_topo and hr_topo from exo_data dictionary.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        exogenous_data : dict</span>
+<span class="sd">            For the SurfaceSpatialMetModel, this must be a nested dictionary</span>
+<span class="sd">            with a main &#39;topography&#39; key and two entries for</span>
+<span class="sd">            exogenous_data[&#39;topography&#39;][&#39;steps&#39;]. The first entry includes a</span>
+<span class="sd">            2D (lat, lon) or 4D (n_obs, lat, lon, temporal) array of</span>
+<span class="sd">            low-resolution surface elevation data in meters (lat, lon must</span>
+<span class="sd">            match spatial_1, spatial_2 from low_res), and the second entry</span>
+<span class="sd">            includes a 2D (lat, lon) or 4D (n_obs, lat, lon, temporal) array of</span>
+<span class="sd">            high-resolution surface elevation data in meters. e.g.</span>
+<span class="sd">            .. code-block:: JSON</span>
+<span class="sd">                {&#39;topography&#39;: {</span>
+<span class="sd">                    &#39;steps&#39;: [{&#39;data&#39;: lr_topo}, {&#39;data&#39;: hr_topo&#39;}]</span>
+<span class="sd">                    }</span>
+<span class="sd">                }</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        lr_topo : ndarray</span>
+<span class="sd">            (lat, lon)</span>
+<span class="sd">        hr_topo : ndarray</span>
+<span class="sd">            (lat, lon)</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">exo_data</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="n">step</span><span class="p">[</span><span class="s1">&#39;data&#39;</span><span class="p">]</span> <span class="k">for</span> <span class="n">step</span> <span class="ow">in</span> <span class="n">exogenous_data</span><span class="p">[</span><span class="s1">&#39;topography&#39;</span><span class="p">][</span><span class="s1">&#39;steps&#39;</span><span class="p">]</span>
+        <span class="p">]</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;exogenous_data is of a bad type </span><span class="si">{}</span><span class="s1">!&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="n">exo_data</span><span class="p">))</span>
+        <span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">exo_data</span><span class="p">,</span> <span class="p">(</span><span class="nb">list</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">)),</span> <span class="n">msg</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;exogenous_data is of a bad length </span><span class="si">{}</span><span class="s1">!&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">exo_data</span><span class="p">))</span>
+        <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">exo_data</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">,</span> <span class="n">msg</span>
+
+        <span class="n">lr_topo</span> <span class="o">=</span> <span class="n">exo_data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+        <span class="n">hr_topo</span> <span class="o">=</span> <span class="n">exo_data</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">lr_topo</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">4</span><span class="p">:</span>
+            <span class="n">lr_topo</span> <span class="o">=</span> <span class="n">lr_topo</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">]</span>
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">hr_topo</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">4</span><span class="p">:</span>
+            <span class="n">hr_topo</span> <span class="o">=</span> <span class="n">hr_topo</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">]</span>
+
+        <span class="k">return</span> <span class="n">lr_topo</span><span class="p">,</span> <span class="n">hr_topo</span>
+
+    <span class="c1"># pylint: disable=unused-argument</span>
+<div class="viewcode-block" id="SurfaceSpatialMetModel.generate">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.generate">[docs]</a>
+    <span class="k">def</span> <span class="nf">generate</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span> <span class="n">low_res</span><span class="p">,</span> <span class="n">norm_in</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">un_norm_out</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">exogenous_data</span><span class="o">=</span><span class="kc">None</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Use the generator model to generate high res data from low res</span>
+<span class="sd">        input. This is the public generate function.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        low_res : np.ndarray</span>
+<span class="sd">            Low-resolution spatial input data, a 4D array of shape:</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_features), Where the feature</span>
+<span class="sd">            channel can include temperature_*m, relativehumidity_*m, and/or</span>
+<span class="sd">            pressure_*m</span>
+<span class="sd">        norm_in : bool</span>
+<span class="sd">            This doesnt do anything for this SurfaceSpatialMetModel, but is</span>
+<span class="sd">            kept to keep the same interface as Sup3rGan</span>
+<span class="sd">        un_norm_out : bool</span>
+<span class="sd">            This doesnt do anything for this SurfaceSpatialMetModel, but is</span>
+<span class="sd">            kept to keep the same interface as Sup3rGan</span>
+<span class="sd">        exogenous_data : dict</span>
+<span class="sd">            For the SurfaceSpatialMetModel, this must be a nested dictionary</span>
+<span class="sd">            with a main &#39;topography&#39; key and two entries for</span>
+<span class="sd">            exogenous_data[&#39;topography&#39;][&#39;steps&#39;]. The first entry includes a</span>
+<span class="sd">            2D (lat, lon) array of low-resolution surface elevation data in</span>
+<span class="sd">            meters (must match spatial_1, spatial_2 from low_res), and the</span>
+<span class="sd">            second entry includes a 2D (lat, lon) array of high-resolution</span>
+<span class="sd">            surface elevation data in meters. e.g.</span>
+<span class="sd">            .. code-block:: JSON</span>
+<span class="sd">                {&#39;topography&#39;: {</span>
+<span class="sd">                    &#39;steps&#39;: [{&#39;data&#39;: lr_topo}, {&#39;data&#39;: hr_topo&#39;}]</span>
+<span class="sd">                    }</span>
+<span class="sd">                }</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        hi_res : ndarray</span>
+<span class="sd">            high-resolution spatial output data, a 4D array of shape:</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, n_features), Where the feature</span>
+<span class="sd">            channel can include temperature_*m, relativehumidity_*m, and/or</span>
+<span class="sd">            pressure_*m</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">low_res</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">low_res</span><span class="p">)</span>
+        <span class="n">lr_topo</span><span class="p">,</span> <span class="n">hr_topo</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_topo_from_exo</span><span class="p">(</span><span class="n">exogenous_data</span><span class="p">)</span>
+        <span class="n">lr_topo</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">lr_topo</span><span class="p">)</span>
+        <span class="n">hr_topo</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">hr_topo</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+            <span class="s1">&#39;SurfaceSpatialMetModel received low/high res topo &#39;</span>
+            <span class="s1">&#39;shapes of </span><span class="si">{}</span><span class="s1"> and </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">lr_topo</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">hr_topo</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+        <span class="p">)</span>
+
+        <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;topo_lr needs to be 2d but has shape </span><span class="si">{</span><span class="n">lr_topo</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">lr_topo</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">,</span> <span class="n">msg</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;topo_hr needs to be 2d but has shape </span><span class="si">{</span><span class="n">hr_topo</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">hr_topo</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">,</span> <span class="n">msg</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;lr_topo.shape needs to match lr_res.shape[:2] but received &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">lr_topo</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1"> and </span><span class="si">{</span><span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="n">lr_topo</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">==</span> <span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">msg</span>
+        <span class="k">assert</span> <span class="n">lr_topo</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="n">msg</span>
+        <span class="n">s_enhance</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_s_enhance</span><span class="p">(</span><span class="n">lr_topo</span><span class="p">,</span> <span class="n">hr_topo</span><span class="p">)</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Topo shapes of </span><span class="si">{}</span><span class="s1"> and </span><span class="si">{}</span><span class="s1"> did not match desired spatial &#39;</span>
+            <span class="s1">&#39;enhancement of </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">lr_topo</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">hr_topo</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span> <span class="o">==</span> <span class="n">s_enhance</span><span class="p">,</span> <span class="n">msg</span>
+
+        <span class="n">hr_shape</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="nb">len</span><span class="p">(</span><span class="n">low_res</span><span class="p">),</span>
+            <span class="nb">int</span><span class="p">(</span><span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">),</span>
+            <span class="nb">int</span><span class="p">(</span><span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">),</span>
+            <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_out_features</span><span class="p">),</span>
+        <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+            <span class="s1">&#39;SurfaceSpatialMetModel with s_enhance of </span><span class="si">{}</span><span class="s1"> &#39;</span>
+            <span class="s1">&#39;downscaling low-res shape </span><span class="si">{}</span><span class="s1"> to high-res shape </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">,</span> <span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">hr_shape</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+
+        <span class="n">hi_res</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="n">hr_shape</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+        <span class="k">for</span> <span class="n">iobs</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">low_res</span><span class="p">)):</span>
+            <span class="k">for</span> <span class="n">idf_temp</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">feature_inds_temp</span><span class="p">:</span>
+                <span class="n">_tmp</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">downscale_temp</span><span class="p">(</span>
+                    <span class="n">low_res</span><span class="p">[</span><span class="n">iobs</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="n">idf_temp</span><span class="p">],</span> <span class="n">lr_topo</span><span class="p">,</span> <span class="n">hr_topo</span>
+                <span class="p">)</span>
+                <span class="n">hi_res</span><span class="p">[</span><span class="n">iobs</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="n">idf_temp</span><span class="p">]</span> <span class="o">=</span> <span class="n">_tmp</span>
+
+            <span class="k">for</span> <span class="n">idf_pres</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">feature_inds_pres</span><span class="p">:</span>
+                <span class="n">_tmp</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">downscale_pres</span><span class="p">(</span>
+                    <span class="n">low_res</span><span class="p">[</span><span class="n">iobs</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="n">idf_pres</span><span class="p">],</span> <span class="n">lr_topo</span><span class="p">,</span> <span class="n">hr_topo</span>
+                <span class="p">)</span>
+                <span class="n">hi_res</span><span class="p">[</span><span class="n">iobs</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="n">idf_pres</span><span class="p">]</span> <span class="o">=</span> <span class="n">_tmp</span>
+
+            <span class="k">for</span> <span class="n">idf_rh</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">feature_inds_rh</span><span class="p">:</span>
+                <span class="n">idf_temp</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_temp_rh_ind</span><span class="p">(</span><span class="n">idf_rh</span><span class="p">)</span>
+                <span class="n">_tmp</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">downscale_rh</span><span class="p">(</span>
+                    <span class="n">low_res</span><span class="p">[</span><span class="n">iobs</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="n">idf_rh</span><span class="p">],</span>
+                    <span class="n">low_res</span><span class="p">[</span><span class="n">iobs</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="n">idf_temp</span><span class="p">],</span>
+                    <span class="n">hi_res</span><span class="p">[</span><span class="n">iobs</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="n">idf_temp</span><span class="p">],</span>
+                    <span class="n">lr_topo</span><span class="p">,</span>
+                    <span class="n">hr_topo</span><span class="p">,</span>
+                <span class="p">)</span>
+                <span class="n">hi_res</span><span class="p">[</span><span class="n">iobs</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="n">idf_rh</span><span class="p">]</span> <span class="o">=</span> <span class="n">_tmp</span>
+
+            <span class="k">for</span> <span class="n">idf_rh</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">feature_inds_rh</span><span class="p">:</span>
+                <span class="n">idf_temp</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_temp_rh_ind</span><span class="p">(</span><span class="n">idf_rh</span><span class="p">)</span>
+                <span class="n">_tmp</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">downscale_rh</span><span class="p">(</span>
+                    <span class="n">low_res</span><span class="p">[</span><span class="n">iobs</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="n">idf_rh</span><span class="p">],</span>
+                    <span class="n">low_res</span><span class="p">[</span><span class="n">iobs</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="n">idf_temp</span><span class="p">],</span>
+                    <span class="n">hi_res</span><span class="p">[</span><span class="n">iobs</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="n">idf_temp</span><span class="p">],</span>
+                    <span class="n">lr_topo</span><span class="p">,</span>
+                    <span class="n">hr_topo</span><span class="p">,</span>
+                <span class="p">)</span>
+                <span class="n">hi_res</span><span class="p">[</span><span class="n">iobs</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="n">idf_rh</span><span class="p">]</span> <span class="o">=</span> <span class="n">_tmp</span>
+
+            <span class="k">for</span> <span class="n">idf_other</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">feature_inds_other</span><span class="p">:</span>
+                <span class="n">_arr</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">downscale_arr</span><span class="p">(</span>
+                    <span class="n">low_res</span><span class="p">[</span><span class="n">iobs</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="n">idf_other</span><span class="p">],</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">,</span>
+                    <span class="n">method</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_interp_method</span><span class="p">,</span>
+                    <span class="n">fix_bias</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_fix_bias</span><span class="p">,</span>
+                <span class="p">)</span>
+                <span class="n">hi_res</span><span class="p">[</span><span class="n">iobs</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="n">idf_other</span><span class="p">]</span> <span class="o">=</span> <span class="n">_arr</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_noise_adders</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">for</span> <span class="n">idf</span><span class="p">,</span> <span class="n">stdev</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_noise_adders</span><span class="p">):</span>
+                <span class="k">if</span> <span class="n">stdev</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+                    <span class="n">noise</span> <span class="o">=</span> <span class="n">RANDOM_GENERATOR</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span>
+                        <span class="mi">0</span><span class="p">,</span> <span class="n">stdev</span><span class="p">,</span> <span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+                    <span class="p">)</span>
+                    <span class="n">hi_res</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">idf</span><span class="p">]</span> <span class="o">+=</span> <span class="n">noise</span>
+
+        <span class="k">return</span> <span class="n">hi_res</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">meta</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get meta data dictionary that defines the model params&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">{</span>
+            <span class="s1">&#39;temp_lapse_rate&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_temp_lapse</span><span class="p">,</span>
+            <span class="s1">&#39;s_enhance&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">,</span>
+            <span class="s1">&#39;t_enhance&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+            <span class="s1">&#39;noise_adders&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_noise_adders</span><span class="p">,</span>
+            <span class="s1">&#39;input_resolution&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_input_resolution</span><span class="p">,</span>
+            <span class="s1">&#39;weight_for_delta_temp&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_w_delta_temp</span><span class="p">,</span>
+            <span class="s1">&#39;weight_for_delta_topo&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_w_delta_topo</span><span class="p">,</span>
+            <span class="s1">&#39;pressure_divisor&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_pres_div</span><span class="p">,</span>
+            <span class="s1">&#39;pressure_exponent&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_pres_exp</span><span class="p">,</span>
+            <span class="s1">&#39;lr_features&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_features</span><span class="p">,</span>
+            <span class="s1">&#39;hr_out_features&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_out_features</span><span class="p">,</span>
+            <span class="s1">&#39;interp_method&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_interp_name</span><span class="p">,</span>
+            <span class="s1">&#39;fix_bias&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_fix_bias</span><span class="p">,</span>
+            <span class="s1">&#39;class&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="p">,</span>
+        <span class="p">}</span>
+
+<div class="viewcode-block" id="SurfaceSpatialMetModel.train">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.train">[docs]</a>
+    <span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">true_hr_temp</span><span class="p">,</span> <span class="n">true_hr_rh</span><span class="p">,</span> <span class="n">true_hr_topo</span><span class="p">,</span> <span class="n">input_resolution</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Trains the relative humidity linear model. The temperature and</span>
+<span class="sd">        surface lapse rate models are parameterizations taken from the NSRDB</span>
+<span class="sd">        and are not trained.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        true_hr_temp : np.ndarray</span>
+<span class="sd">            True high-resolution daily average temperature data in a 3D array</span>
+<span class="sd">            of shape (lat, lon, n_days)</span>
+<span class="sd">        true_hr_rh : np.ndarray</span>
+<span class="sd">            True high-resolution daily average relative humidity data in a 3D</span>
+<span class="sd">            array of shape (lat, lon, n_days)</span>
+<span class="sd">        true_hr_topo : np.ndarray</span>
+<span class="sd">            High-resolution surface elevation data in meters with shape</span>
+<span class="sd">            (lat, lon)</span>
+<span class="sd">        input_resolution : dict</span>
+<span class="sd">            Dictionary of spatial and temporal input resolution. e.g.</span>
+<span class="sd">            {&#39;spatial&#39;: &#39;20km&#39;: &#39;temporal&#39;: &#39;60min&#39;}</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        w_delta_temp : float</span>
+<span class="sd">            Weight for the delta-temperature feature for the relative humidity</span>
+<span class="sd">            linear regression model.</span>
+<span class="sd">        w_delta_topo : float</span>
+<span class="sd">            Weight for the delta-topography feature for the relative humidity</span>
+<span class="sd">            linear regression model.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_input_resolution</span> <span class="o">=</span> <span class="n">input_resolution</span>
+        <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">true_hr_temp</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">3</span><span class="p">,</span> <span class="s1">&#39;Bad true_hr_temp shape&#39;</span>
+        <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">true_hr_rh</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">3</span><span class="p">,</span> <span class="s1">&#39;Bad true_hr_rh shape&#39;</span>
+        <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">true_hr_topo</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;Bad true_hr_topo shape&#39;</span>
+
+        <span class="n">true_hr_topo</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">true_hr_topo</span><span class="p">,</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+        <span class="n">true_hr_topo</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">repeat</span><span class="p">(</span><span class="n">true_hr_topo</span><span class="p">,</span> <span class="n">true_hr_temp</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+
+        <span class="n">true_lr_temp</span> <span class="o">=</span> <span class="n">spatial_coarsening</span><span class="p">(</span>
+            <span class="n">true_hr_temp</span><span class="p">,</span> <span class="n">s_enhance</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">,</span> <span class="n">obs_axis</span><span class="o">=</span><span class="kc">False</span>
+        <span class="p">)</span>
+        <span class="n">true_lr_rh</span> <span class="o">=</span> <span class="n">spatial_coarsening</span><span class="p">(</span>
+            <span class="n">true_hr_rh</span><span class="p">,</span> <span class="n">s_enhance</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">,</span> <span class="n">obs_axis</span><span class="o">=</span><span class="kc">False</span>
+        <span class="p">)</span>
+        <span class="n">true_lr_topo</span> <span class="o">=</span> <span class="n">spatial_coarsening</span><span class="p">(</span>
+            <span class="n">true_hr_topo</span><span class="p">,</span> <span class="n">s_enhance</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">,</span> <span class="n">obs_axis</span><span class="o">=</span><span class="kc">False</span>
+        <span class="p">)</span>
+
+        <span class="n">interp_hr_temp</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">full</span><span class="p">(</span><span class="n">true_hr_temp</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+        <span class="n">interp_hr_rh</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">full</span><span class="p">(</span><span class="n">true_hr_rh</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+        <span class="n">interp_hr_topo</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">full</span><span class="p">(</span><span class="n">true_hr_topo</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+
+        <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">interp_hr_temp</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]):</span>
+            <span class="n">interp_hr_temp</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">downscale_arr</span><span class="p">(</span>
+                <span class="n">true_lr_temp</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">i</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span>
+            <span class="p">)</span>
+            <span class="n">interp_hr_rh</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">downscale_arr</span><span class="p">(</span>
+                <span class="n">true_lr_rh</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">i</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span>
+            <span class="p">)</span>
+            <span class="n">interp_hr_topo</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">downscale_arr</span><span class="p">(</span>
+                <span class="n">true_lr_topo</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">i</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span>
+            <span class="p">)</span>
+
+        <span class="n">x1</span> <span class="o">=</span> <span class="n">true_hr_temp</span> <span class="o">-</span> <span class="n">interp_hr_temp</span>
+        <span class="n">x2</span> <span class="o">=</span> <span class="n">true_hr_topo</span> <span class="o">-</span> <span class="n">interp_hr_topo</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">vstack</span><span class="p">((</span><span class="n">x1</span><span class="o">.</span><span class="n">flatten</span><span class="p">(),</span> <span class="n">x2</span><span class="o">.</span><span class="n">flatten</span><span class="p">()))</span><span class="o">.</span><span class="n">T</span>
+        <span class="n">y</span> <span class="o">=</span> <span class="p">(</span><span class="n">true_hr_rh</span> <span class="o">-</span> <span class="n">interp_hr_rh</span><span class="p">)</span><span class="o">.</span><span class="n">flatten</span><span class="p">()</span>
+
+        <span class="n">regr</span> <span class="o">=</span> <span class="n">linear_model</span><span class="o">.</span><span class="n">LinearRegression</span><span class="p">()</span>
+        <span class="n">regr</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">regr</span><span class="o">.</span><span class="n">intercept_</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mf">1e-6</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Relative humidity linear model should have an intercept &#39;</span>
+                <span class="s1">&#39;of zero but the model fit an intercept of </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="n">regr</span><span class="o">.</span><span class="n">intercept_</span>
+                <span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="n">w_delta_temp</span><span class="p">,</span> <span class="n">w_delta_topo</span> <span class="o">=</span> <span class="n">regr</span><span class="o">.</span><span class="n">coef_</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">regr</span><span class="o">.</span><span class="n">coef_</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+
+        <span class="k">return</span> <span class="n">w_delta_temp</span><span class="p">,</span> <span class="n">w_delta_topo</span></div>
+</div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.models.utilities</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Utilities shared across the `sup3r.models` module&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">sys</span>
+<span class="kn">import</span> <span class="nn">threading</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">from</span> <span class="nn">scipy.interpolate</span> <span class="kn">import</span> <span class="n">RegularGridInterpolator</span>
+<span class="kn">from</span> <span class="nn">tensorflow.keras</span> <span class="kn">import</span> <span class="n">optimizers</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="TrainingSession">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.utilities.TrainingSession.html#sup3r.models.utilities.TrainingSession">[docs]</a>
+<span class="k">class</span> <span class="nc">TrainingSession</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Wrapper to gracefully exit batch handler thread during training, upon a</span>
+<span class="sd">    keyboard interruption.&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch_handler</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        batch_handler: BatchHandler</span>
+<span class="sd">            Batch iterator</span>
+<span class="sd">        model: Sup3rGan</span>
+<span class="sd">            Gan model to run in new thread</span>
+<span class="sd">        **kwargs : dict</span>
+<span class="sd">            Model keyword args</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">batch_handler</span> <span class="o">=</span> <span class="n">batch_handler</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">model</span> <span class="o">=</span> <span class="n">model</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">kwargs</span> <span class="o">=</span> <span class="n">kwargs</span>
+
+<div class="viewcode-block" id="TrainingSession.run">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.utilities.TrainingSession.html#sup3r.models.utilities.TrainingSession.run">[docs]</a>
+    <span class="k">def</span> <span class="nf">run</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Wrap model.train().&quot;&quot;&quot;</span>
+        <span class="n">model_thread</span> <span class="o">=</span> <span class="n">threading</span><span class="o">.</span><span class="n">Thread</span><span class="p">(</span>
+            <span class="n">target</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">,</span>
+            <span class="n">args</span><span class="o">=</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">batch_handler</span><span class="p">,),</span>
+            <span class="n">kwargs</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">kwargs</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="k">try</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Starting training session.&#39;</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">batch_handler</span><span class="o">.</span><span class="n">start</span><span class="p">()</span>
+            <span class="n">model_thread</span><span class="o">.</span><span class="n">start</span><span class="p">()</span>
+        <span class="k">except</span> <span class="ne">KeyboardInterrupt</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Ending training session.&#39;</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">batch_handler</span><span class="o">.</span><span class="n">stop</span><span class="p">()</span>
+            <span class="n">model_thread</span><span class="o">.</span><span class="n">join</span><span class="p">()</span>
+            <span class="n">sys</span><span class="o">.</span><span class="n">exit</span><span class="p">()</span>
+        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Ending training session. </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">e</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">batch_handler</span><span class="o">.</span><span class="n">stop</span><span class="p">()</span>
+            <span class="n">model_thread</span><span class="o">.</span><span class="n">join</span><span class="p">()</span>
+            <span class="n">sys</span><span class="o">.</span><span class="n">exit</span><span class="p">()</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Finished training&#39;</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">batch_handler</span><span class="o">.</span><span class="n">stop</span><span class="p">()</span>
+        <span class="n">model_thread</span><span class="o">.</span><span class="n">join</span><span class="p">()</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="get_optimizer_class">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.utilities.get_optimizer_class.html#sup3r.models.utilities.get_optimizer_class">[docs]</a>
+<span class="k">def</span> <span class="nf">get_optimizer_class</span><span class="p">(</span><span class="n">conf</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Get optimizer class from keras&quot;&quot;&quot;</span>
+    <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">optimizers</span><span class="p">,</span> <span class="n">conf</span><span class="p">[</span><span class="s1">&#39;name&#39;</span><span class="p">]):</span>
+        <span class="n">optimizer_class</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">optimizers</span><span class="p">,</span> <span class="n">conf</span><span class="p">[</span><span class="s1">&#39;name&#39;</span><span class="p">])</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;</span><span class="si">%s</span><span class="s1"> not found in keras optimizers.&#39;</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">,</span> <span class="n">conf</span><span class="p">[</span><span class="s1">&#39;name&#39;</span><span class="p">])</span>
+        <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">optimizer_class</span></div>
+
+
+
+<div class="viewcode-block" id="st_interp">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.models.utilities.st_interp.html#sup3r.models.utilities.st_interp">[docs]</a>
+<span class="k">def</span> <span class="nf">st_interp</span><span class="p">(</span><span class="n">low</span><span class="p">,</span> <span class="n">s_enhance</span><span class="p">,</span> <span class="n">t_enhance</span><span class="p">,</span> <span class="n">t_centered</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Spatiotemporal bilinear interpolation for low resolution field on a</span>
+<span class="sd">    regular grid. Used to provide baseline for comparison with gan output</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    low : ndarray</span>
+<span class="sd">        Low resolution field to interpolate.</span>
+<span class="sd">        (spatial_1, spatial_2, temporal)</span>
+<span class="sd">    s_enhance : int</span>
+<span class="sd">        Factor by which to enhance the spatial domain</span>
+<span class="sd">    t_enhance : int</span>
+<span class="sd">        Factor by which to enhance the temporal domain</span>
+<span class="sd">    t_centered : bool</span>
+<span class="sd">        Flag to switch time axis from time-beginning (Default, e.g.</span>
+<span class="sd">        interpolate 00:00 01:00 to 00:00 00:30 01:00 01:30) to</span>
+<span class="sd">        time-centered (e.g. interp 01:00 02:00 to 00:45 01:15 01:45 02:15)</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    ndarray</span>
+<span class="sd">        Spatiotemporally interpolated low resolution output</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">low</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">3</span><span class="p">,</span> <span class="s1">&#39;Input to st_interp must be 3D array&#39;</span>
+    <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;Input to st_interp cannot include axes with length 1&#39;</span>
+    <span class="k">assert</span> <span class="ow">not</span> <span class="nb">any</span><span class="p">(</span><span class="n">s</span> <span class="o">&lt;=</span> <span class="mi">1</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">low</span><span class="o">.</span><span class="n">shape</span><span class="p">),</span> <span class="n">msg</span>
+
+    <span class="n">lr_y</span><span class="p">,</span> <span class="n">lr_x</span><span class="p">,</span> <span class="n">lr_t</span> <span class="o">=</span> <span class="n">low</span><span class="o">.</span><span class="n">shape</span>
+    <span class="n">hr_y</span><span class="p">,</span> <span class="n">hr_x</span><span class="p">,</span> <span class="n">hr_t</span> <span class="o">=</span> <span class="n">lr_y</span> <span class="o">*</span> <span class="n">s_enhance</span><span class="p">,</span> <span class="n">lr_x</span> <span class="o">*</span> <span class="n">s_enhance</span><span class="p">,</span> <span class="n">lr_t</span> <span class="o">*</span> <span class="n">t_enhance</span>
+
+    <span class="c1"># assume outer bounds of mesh (0, 10) w/ points on inside of that range</span>
+    <span class="n">y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">10</span> <span class="o">/</span> <span class="n">lr_y</span><span class="p">)</span> <span class="o">+</span> <span class="mi">5</span> <span class="o">/</span> <span class="n">lr_y</span>
+    <span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">10</span> <span class="o">/</span> <span class="n">lr_x</span><span class="p">)</span> <span class="o">+</span> <span class="mi">5</span> <span class="o">/</span> <span class="n">lr_x</span>
+
+    <span class="c1"># remesh (0, 10) with high res spacing</span>
+    <span class="n">new_y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">10</span> <span class="o">/</span> <span class="n">hr_y</span><span class="p">)</span> <span class="o">+</span> <span class="mi">5</span> <span class="o">/</span> <span class="n">hr_y</span>
+    <span class="n">new_x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">10</span> <span class="o">/</span> <span class="n">hr_x</span><span class="p">)</span> <span class="o">+</span> <span class="mi">5</span> <span class="o">/</span> <span class="n">hr_x</span>
+
+    <span class="n">t</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">10</span> <span class="o">/</span> <span class="n">lr_t</span><span class="p">)</span>
+    <span class="n">new_t</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">10</span> <span class="o">/</span> <span class="n">hr_t</span><span class="p">)</span>
+    <span class="k">if</span> <span class="n">t_centered</span><span class="p">:</span>
+        <span class="n">t</span> <span class="o">+=</span> <span class="mi">5</span> <span class="o">/</span> <span class="n">lr_t</span>
+        <span class="n">new_t</span> <span class="o">+=</span> <span class="mi">5</span> <span class="o">/</span> <span class="n">hr_t</span>
+
+    <span class="c1"># set RegularGridInterpolator to do extrapolation</span>
+    <span class="n">interp</span> <span class="o">=</span> <span class="n">RegularGridInterpolator</span><span class="p">(</span>
+        <span class="p">(</span><span class="n">y</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">t</span><span class="p">),</span> <span class="n">low</span><span class="p">,</span> <span class="n">bounds_error</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">fill_value</span><span class="o">=</span><span class="kc">None</span>
+    <span class="p">)</span>
+
+    <span class="c1"># perform interp</span>
+    <span class="n">X</span><span class="p">,</span> <span class="n">Y</span><span class="p">,</span> <span class="n">T</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">meshgrid</span><span class="p">(</span><span class="n">new_x</span><span class="p">,</span> <span class="n">new_y</span><span class="p">,</span> <span class="n">new_t</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">interp</span><span class="p">((</span><span class="n">Y</span><span class="p">,</span> <span class="n">X</span><span class="p">,</span> <span class="n">T</span><span class="p">))</span></div>
+
+</pre></div>
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+  <h1>Source code for sup3r.pipeline.forward_pass</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Sup3r forward pass handling module.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">pprint</span>
+<span class="kn">from</span> <span class="nn">concurrent.futures</span> <span class="kn">import</span> <span class="n">as_completed</span>
+<span class="kn">from</span> <span class="nn">datetime</span> <span class="kn">import</span> <span class="n">datetime</span> <span class="k">as</span> <span class="n">dt</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">ClassVar</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">from</span> <span class="nn">rex.utilities.execution</span> <span class="kn">import</span> <span class="n">SpawnProcessPool</span>
+<span class="kn">from</span> <span class="nn">rex.utilities.fun_utils</span> <span class="kn">import</span> <span class="n">get_fun_call_str</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.pipeline.strategy</span> <span class="kn">import</span> <span class="n">ForwardPassChunk</span><span class="p">,</span> <span class="n">ForwardPassStrategy</span>
+<span class="kn">from</span> <span class="nn">sup3r.pipeline.utilities</span> <span class="kn">import</span> <span class="n">get_model</span>
+<span class="kn">from</span> <span class="nn">sup3r.postprocessing</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">OutputHandlerH5</span><span class="p">,</span>
+    <span class="n">OutputHandlerNC</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">_mem_check</span><span class="p">,</span>
+    <span class="n">get_source_type</span><span class="p">,</span>
+    <span class="n">log_args</span><span class="p">,</span>
+    <span class="n">lowered</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities</span> <span class="kn">import</span> <span class="n">ModuleName</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.cli</span> <span class="kn">import</span> <span class="n">BaseCLI</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="ForwardPass">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.forward_pass.ForwardPass.html#sup3r.pipeline.forward_pass.ForwardPass">[docs]</a>
+<span class="k">class</span> <span class="nc">ForwardPass</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Class to run forward passes on all chunks provided by the given</span>
+<span class="sd">    ForwardPassStrategy. The chunks provided by the strategy are all passed</span>
+<span class="sd">    through the GAN generator to produce high resolution output.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">OUTPUT_HANDLER_CLASS</span><span class="p">:</span> <span class="n">ClassVar</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="s1">&#39;nc&#39;</span><span class="p">:</span> <span class="n">OutputHandlerNC</span><span class="p">,</span>
+        <span class="s1">&#39;h5&#39;</span><span class="p">:</span> <span class="n">OutputHandlerH5</span><span class="p">,</span>
+    <span class="p">}</span>
+
+    <span class="nd">@log_args</span>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">strategy</span><span class="p">,</span> <span class="n">node_index</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize ForwardPass with ForwardPassStrategy. The strategy</span>
+<span class="sd">        provides the data chunks to run forward passes on</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        strategy : ForwardPassStrategy</span>
+<span class="sd">            ForwardPassStrategy instance with information on data chunks to run</span>
+<span class="sd">            forward passes on.</span>
+<span class="sd">        node_index : int</span>
+<span class="sd">            Index of node used to run forward pass</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">strategy</span> <span class="o">=</span> <span class="n">strategy</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">model</span> <span class="o">=</span> <span class="n">get_model</span><span class="p">(</span><span class="n">strategy</span><span class="o">.</span><span class="n">model_class</span><span class="p">,</span> <span class="n">strategy</span><span class="o">.</span><span class="n">model_kwargs</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">node_index</span> <span class="o">=</span> <span class="n">node_index</span>
+
+        <span class="n">output_type</span> <span class="o">=</span> <span class="n">get_source_type</span><span class="p">(</span><span class="n">strategy</span><span class="o">.</span><span class="n">out_pattern</span><span class="p">)</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;Received bad output type </span><span class="si">{</span><span class="n">output_type</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="k">assert</span> <span class="n">output_type</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">or</span> <span class="n">output_type</span> <span class="ow">in</span> <span class="nb">list</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">OUTPUT_HANDLER_CLASS</span>
+        <span class="p">),</span> <span class="n">msg</span>
+
+<div class="viewcode-block" id="ForwardPass.get_input_chunk">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.forward_pass.ForwardPass.html#sup3r.pipeline.forward_pass.ForwardPass.get_input_chunk">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_input_chunk</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">chunk_index</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;reflect&#39;</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get :class:`FowardPassChunk` instance for the given chunk index.&quot;&quot;&quot;</span>
+
+        <span class="n">chunk</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">strategy</span><span class="o">.</span><span class="n">init_chunk</span><span class="p">(</span><span class="n">chunk_index</span><span class="p">)</span>
+        <span class="n">chunk</span><span class="o">.</span><span class="n">input_data</span><span class="p">,</span> <span class="n">chunk</span><span class="o">.</span><span class="n">exo_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">pad_source_data</span><span class="p">(</span>
+            <span class="n">chunk</span><span class="o">.</span><span class="n">input_data</span><span class="p">,</span> <span class="n">chunk</span><span class="o">.</span><span class="n">pad_width</span><span class="p">,</span> <span class="n">chunk</span><span class="o">.</span><span class="n">exo_data</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="n">mode</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="n">chunk</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">meta</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Meta data dictionary for the forward pass run (to write to output</span>
+<span class="sd">        files).&quot;&quot;&quot;</span>
+        <span class="n">meta_data</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="s1">&#39;node_index&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">node_index</span><span class="p">,</span>
+            <span class="s1">&#39;creation_date&#39;</span><span class="p">:</span> <span class="n">dt</span><span class="o">.</span><span class="n">now</span><span class="p">()</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">%d</span><span class="s1">/%m/%Y %H:%M:%S&#39;</span><span class="p">),</span>
+            <span class="s1">&#39;model_meta&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">meta</span><span class="p">,</span>
+            <span class="s1">&#39;gan_params&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">model_params</span><span class="p">,</span>
+            <span class="s1">&#39;strategy_meta&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">strategy</span><span class="o">.</span><span class="n">meta</span><span class="p">,</span>
+        <span class="p">}</span>
+        <span class="k">return</span> <span class="n">meta_data</span>
+
+    <span class="k">def</span> <span class="nf">_get_step_enhance</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">step</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get enhancement factors for a given step and combine type.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        step : dict</span>
+<span class="sd">            Model step dictionary. e.g.</span>
+<span class="sd">            ``{&#39;model&#39;: 0, &#39;combine_type&#39;: &#39;input&#39;}``</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        s_enhance : int</span>
+<span class="sd">            Spatial enhancement factor for given step and combine type</span>
+<span class="sd">        t_enhance : int</span>
+<span class="sd">            Temporal enhancement factor for given step and combine type</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">combine_type</span> <span class="o">=</span> <span class="n">step</span><span class="p">[</span><span class="s1">&#39;combine_type&#39;</span><span class="p">]</span>
+        <span class="n">model_step</span> <span class="o">=</span> <span class="n">step</span><span class="p">[</span><span class="s1">&#39;model&#39;</span><span class="p">]</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;Received weird combine_type </span><span class="si">{</span><span class="n">combine_type</span><span class="si">}</span><span class="s1"> for step: </span><span class="si">{</span><span class="n">step</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="k">assert</span> <span class="n">combine_type</span> <span class="ow">in</span> <span class="p">(</span><span class="s1">&#39;input&#39;</span><span class="p">,</span> <span class="s1">&#39;output&#39;</span><span class="p">,</span> <span class="s1">&#39;layer&#39;</span><span class="p">),</span> <span class="n">msg</span>
+        <span class="k">if</span> <span class="n">combine_type</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="o">==</span> <span class="s1">&#39;input&#39;</span><span class="p">:</span>
+            <span class="k">if</span> <span class="n">model_step</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+                <span class="n">s_enhance</span> <span class="o">=</span> <span class="mi">1</span>
+                <span class="n">t_enhance</span> <span class="o">=</span> <span class="mi">1</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">s_enhance</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">s_enhancements</span><span class="p">[:</span><span class="n">model_step</span><span class="p">])</span>
+                <span class="n">t_enhance</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">t_enhancements</span><span class="p">[:</span><span class="n">model_step</span><span class="p">])</span>
+
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">s_enhance</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">s_enhancements</span><span class="p">[:</span> <span class="n">model_step</span> <span class="o">+</span> <span class="mi">1</span><span class="p">])</span>
+            <span class="n">t_enhance</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">t_enhancements</span><span class="p">[:</span> <span class="n">model_step</span> <span class="o">+</span> <span class="mi">1</span><span class="p">])</span>
+        <span class="k">return</span> <span class="n">s_enhance</span><span class="p">,</span> <span class="n">t_enhance</span>
+
+<div class="viewcode-block" id="ForwardPass.pad_source_data">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.forward_pass.ForwardPass.html#sup3r.pipeline.forward_pass.ForwardPass.pad_source_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">pad_source_data</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_data</span><span class="p">,</span> <span class="n">pad_width</span><span class="p">,</span> <span class="n">exo_data</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;reflect&#39;</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Pad the edges of the source data from the data handler.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        input_data : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            Source input data from data handler class, shape is:</span>
+<span class="sd">            (spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        pad_width : tuple</span>
+<span class="sd">            Tuple of tuples with padding width for spatial and temporal</span>
+<span class="sd">            dimensions. Each tuple includes the start and end of padding for</span>
+<span class="sd">            that dimension. Ordering is spatial_1, spatial_2, temporal.</span>
+<span class="sd">        exo_data: dict</span>
+<span class="sd">            Full exo_handler_kwargs dictionary with all feature entries. See</span>
+<span class="sd">            :meth:`run_generator` for more information.</span>
+<span class="sd">        mode : str</span>
+<span class="sd">            Mode to use for padding. e.g. &#39;reflect&#39;.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            Padded copy of source input data from data handler class, shape is:</span>
+<span class="sd">            (spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        exo_data : dict</span>
+<span class="sd">            Same as input dictionary with s_enhance, t_enhance added to each</span>
+<span class="sd">            step entry for all features</span>
+
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">pad</span><span class="p">(</span><span class="n">input_data</span><span class="p">,</span> <span class="p">(</span><span class="o">*</span><span class="n">pad_width</span><span class="p">,</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">)),</span> <span class="n">mode</span><span class="o">=</span><span class="n">mode</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;Padded input data shape from </span><span class="si">%s</span><span class="s1"> to </span><span class="si">%s</span><span class="s1"> using mode &quot;</span><span class="si">%s</span><span class="s1">&quot; &#39;</span>
+            <span class="s1">&#39;with padding argument: </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span>
+            <span class="n">input_data</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span>
+            <span class="n">out</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span>
+            <span class="n">mode</span><span class="p">,</span>
+            <span class="n">pad_width</span><span class="p">,</span>
+        <span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">exo_data</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">for</span> <span class="n">feature</span> <span class="ow">in</span> <span class="n">exo_data</span><span class="p">:</span>
+                <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">step</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">exo_data</span><span class="p">[</span><span class="n">feature</span><span class="p">][</span><span class="s1">&#39;steps&#39;</span><span class="p">]):</span>
+                    <span class="n">s_enhance</span><span class="p">,</span> <span class="n">t_enhance</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_step_enhance</span><span class="p">(</span><span class="n">step</span><span class="p">)</span>
+                    <span class="n">exo_pad_width</span> <span class="o">=</span> <span class="p">(</span>
+                        <span class="o">*</span><span class="p">(</span>
+                            <span class="p">(</span><span class="n">en</span> <span class="o">*</span> <span class="n">pw</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">en</span> <span class="o">*</span> <span class="n">pw</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+                            <span class="k">for</span> <span class="n">en</span><span class="p">,</span> <span class="n">pw</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span>
+                                <span class="p">[</span><span class="n">s_enhance</span><span class="p">,</span> <span class="n">s_enhance</span><span class="p">,</span> <span class="n">t_enhance</span><span class="p">],</span> <span class="n">pad_width</span>
+                            <span class="p">)</span>
+                        <span class="p">),</span>
+                        <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">),</span>
+                    <span class="p">)</span>
+                    <span class="n">new_exo</span> <span class="o">=</span> <span class="n">step</span><span class="p">[</span><span class="s1">&#39;data&#39;</span><span class="p">]</span>
+                    <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">new_exo</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">3</span><span class="p">:</span>
+                        <span class="n">new_exo</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">new_exo</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+                        <span class="n">new_exo</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">repeat</span><span class="p">(</span>
+                            <span class="n">new_exo</span><span class="p">,</span>
+                            <span class="n">step</span><span class="p">[</span><span class="s1">&#39;t_enhance&#39;</span><span class="p">]</span> <span class="o">*</span> <span class="n">input_data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span>
+                            <span class="n">axis</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
+                        <span class="p">)</span>
+                    <span class="n">new_exo</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">pad</span><span class="p">(</span><span class="n">new_exo</span><span class="p">,</span> <span class="n">exo_pad_width</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="n">mode</span><span class="p">)</span>
+                    <span class="n">exo_data</span><span class="p">[</span><span class="n">feature</span><span class="p">][</span><span class="s1">&#39;steps&#39;</span><span class="p">][</span><span class="n">i</span><span class="p">][</span><span class="s1">&#39;data&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">new_exo</span>
+                    <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                        <span class="sa">f</span><span class="s1">&#39;Got exo data for feature: </span><span class="si">{</span><span class="n">feature</span><span class="si">}</span><span class="s1">, model step: </span><span class="si">{</span><span class="n">i</span><span class="si">}</span><span class="s1">&#39;</span>
+                    <span class="p">)</span>
+        <span class="k">return</span> <span class="n">out</span><span class="p">,</span> <span class="n">exo_data</span></div>
+
+
+<div class="viewcode-block" id="ForwardPass.run_generator">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.forward_pass.ForwardPass.html#sup3r.pipeline.forward_pass.ForwardPass.run_generator">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">run_generator</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">data_chunk</span><span class="p">,</span>
+        <span class="n">hr_crop_slices</span><span class="p">,</span>
+        <span class="n">model</span><span class="p">,</span>
+        <span class="n">s_enhance</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">t_enhance</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">exo_data</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Run forward pass of the generator on smallest data chunk. Each chunk</span>
+<span class="sd">        has a maximum shape given by self.strategy.fwp_chunk_shape.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        data_chunk : ndarray</span>
+<span class="sd">            Low res data chunk to go through generator</span>
+<span class="sd">        hr_crop_slices : list</span>
+<span class="sd">            List of slices for extracting cropped region of interest from</span>
+<span class="sd">            output. Output can include an extra overlapping boundary to</span>
+<span class="sd">            reduce chunking error. The cropping cuts off this padded region</span>
+<span class="sd">            before stitching chunks.</span>
+<span class="sd">        model : Sup3rGan</span>
+<span class="sd">            A loaded Sup3rGan model (any model imported from sup3r.models).</span>
+<span class="sd">        t_enhance : int</span>
+<span class="sd">            Factor by which to enhance temporal resolution</span>
+<span class="sd">        s_enhance : int</span>
+<span class="sd">            Factor by which to enhance spatial resolution</span>
+<span class="sd">        exo_data : dict | None</span>
+<span class="sd">            Dictionary of exogenous feature data with entries describing</span>
+<span class="sd">            whether features should be combined at input, a mid network layer,</span>
+<span class="sd">            or with output. e.g.</span>
+<span class="sd">            .. code-block:: JSON</span>
+<span class="sd">                {</span>
+<span class="sd">                    &#39;topography&#39;: {&#39;steps&#39;: [</span>
+<span class="sd">                        {&#39;combine_type&#39;: &#39;input&#39;, &#39;model&#39;: 0, &#39;data&#39;: ...},</span>
+<span class="sd">                        {&#39;combine_type&#39;: &#39;layer&#39;, &#39;model&#39;: 0, &#39;data&#39;: ...}]}</span>
+<span class="sd">                }</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        ndarray</span>
+<span class="sd">            High resolution data generated by GAN</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">temp</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">_reshape_data_chunk</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">data_chunk</span><span class="p">,</span> <span class="n">exo_data</span><span class="p">)</span>
+        <span class="n">data_chunk</span><span class="p">,</span> <span class="n">exo_data</span><span class="p">,</span> <span class="n">i_lr_t</span><span class="p">,</span> <span class="n">i_lr_s</span> <span class="o">=</span> <span class="n">temp</span>
+        <span class="k">try</span><span class="p">:</span>
+            <span class="n">hi_res</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">generate</span><span class="p">(</span><span class="n">data_chunk</span><span class="p">,</span> <span class="n">exogenous_data</span><span class="o">=</span><span class="n">exo_data</span><span class="p">)</span>
+        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;Forward pass failed on chunk with shape </span><span class="si">{}</span><span class="s1">.&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">data_chunk</span><span class="o">.</span><span class="n">shape</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">exception</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span>
+
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">4</span><span class="p">:</span>
+            <span class="n">hi_res</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">hi_res</span><span class="p">,</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">3</span><span class="p">)),</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="p">(</span>
+            <span class="n">s_enhance</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+            <span class="ow">and</span> <span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">!=</span> <span class="n">s_enhance</span> <span class="o">*</span> <span class="n">data_chunk</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="n">i_lr_s</span><span class="p">]</span>
+        <span class="p">):</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;The stated spatial enhancement of </span><span class="si">{}</span><span class="s1">x did not match &#39;</span>
+                <span class="s1">&#39;the low res / high res shapes of </span><span class="si">{}</span><span class="s1"> -&gt; </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="n">s_enhance</span><span class="p">,</span> <span class="n">data_chunk</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span>
+                <span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="p">(</span>
+            <span class="n">t_enhance</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+            <span class="ow">and</span> <span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span> <span class="o">!=</span> <span class="n">t_enhance</span> <span class="o">*</span> <span class="n">data_chunk</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="n">i_lr_t</span><span class="p">]</span>
+        <span class="p">):</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;The stated temporal enhancement of </span><span class="si">{}</span><span class="s1">x did not match &#39;</span>
+                <span class="s1">&#39;the low res / high res shapes of </span><span class="si">{}</span><span class="s1"> -&gt; </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="n">t_enhance</span><span class="p">,</span> <span class="n">data_chunk</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">hi_res</span><span class="o">.</span><span class="n">shape</span>
+                <span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">hi_res</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="n">hr_crop_slices</span><span class="p">]</span></div>
+
+
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">_reshape_data_chunk</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">data_chunk</span><span class="p">,</span> <span class="n">exo_data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Reshape and transpose data chunk and exogenous data before being</span>
+<span class="sd">        passed to the sup3r model.</span>
+
+<span class="sd">        Note</span>
+<span class="sd">        ----</span>
+<span class="sd">        Exo data needs to be different shapes for 5D (Spatiotemporal) /</span>
+<span class="sd">        4D (Spatial / Surface) models, and different models use different</span>
+<span class="sd">        indices for spatial and temporal dimensions. These differences are</span>
+<span class="sd">        handled here.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        model : Sup3rGan</span>
+<span class="sd">            Sup3rGan or similar sup3r model</span>
+<span class="sd">        data_chunk : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            Low resolution data for a single spatiotemporal chunk that is going</span>
+<span class="sd">            to be passed to the model generate function.</span>
+<span class="sd">        exo_data : dict | None</span>
+<span class="sd">            Full exo_handler_kwargs dictionary with all feature entries. See</span>
+<span class="sd">            :meth:`ForwardPass.run_generator` for more information.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        data_chunk : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            Same as input but reshaped to (temporal, spatial_1, spatial_2,</span>
+<span class="sd">            features) if the model is a spatial-first model or</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, temporal, features) if the</span>
+<span class="sd">            model is spatiotemporal</span>
+<span class="sd">        exo_data : dict | None</span>
+<span class="sd">            Same reshaping procedure as for data_chunk applied to</span>
+<span class="sd">            exo_data[feature][&#39;steps&#39;][...][&#39;data&#39;]</span>
+<span class="sd">        i_lr_t : int</span>
+<span class="sd">            Axis index for the low-resolution temporal dimension</span>
+<span class="sd">        i_lr_s : int</span>
+<span class="sd">            Axis index for the low-resolution spatial_1 dimension</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">exo_data</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">for</span> <span class="n">feature</span> <span class="ow">in</span> <span class="n">exo_data</span><span class="p">:</span>
+                <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">entry</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">exo_data</span><span class="p">[</span><span class="n">feature</span><span class="p">][</span><span class="s1">&#39;steps&#39;</span><span class="p">]):</span>
+                    <span class="n">models</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="s1">&#39;models&#39;</span><span class="p">,</span> <span class="p">[</span><span class="n">model</span><span class="p">])</span>
+                    <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                        <span class="sa">f</span><span class="s1">&#39;model index (</span><span class="si">{</span><span class="n">entry</span><span class="p">[</span><span class="s2">&quot;model&quot;</span><span class="p">]</span><span class="si">}</span><span class="s1">) for exo step </span><span class="si">{</span><span class="n">i</span><span class="si">}</span><span class="s1"> &#39;</span>
+                        <span class="s1">&#39;exceeds the number of model steps&#39;</span>
+                    <span class="p">)</span>
+                    <span class="k">assert</span> <span class="n">entry</span><span class="p">[</span><span class="s1">&#39;model&#39;</span><span class="p">]</span> <span class="o">&lt;</span> <span class="nb">len</span><span class="p">(</span><span class="n">models</span><span class="p">),</span> <span class="n">msg</span>
+                    <span class="n">current_model</span> <span class="o">=</span> <span class="n">models</span><span class="p">[</span><span class="n">entry</span><span class="p">[</span><span class="s1">&#39;model&#39;</span><span class="p">]]</span>
+                    <span class="k">if</span> <span class="n">current_model</span><span class="o">.</span><span class="n">is_4d</span><span class="p">:</span>
+                        <span class="n">out</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">entry</span><span class="p">[</span><span class="s1">&#39;data&#39;</span><span class="p">],</span> <span class="n">axes</span><span class="o">=</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
+                    <span class="k">else</span><span class="p">:</span>
+                        <span class="n">out</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">entry</span><span class="p">[</span><span class="s1">&#39;data&#39;</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+                    <span class="n">exo_data</span><span class="p">[</span><span class="n">feature</span><span class="p">][</span><span class="s1">&#39;steps&#39;</span><span class="p">][</span><span class="n">i</span><span class="p">][</span><span class="s1">&#39;data&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">out</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">model</span><span class="o">.</span><span class="n">is_4d</span><span class="p">:</span>
+            <span class="n">i_lr_t</span> <span class="o">=</span> <span class="mi">0</span>
+            <span class="n">i_lr_s</span> <span class="o">=</span> <span class="mi">1</span>
+            <span class="n">data_chunk</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">data_chunk</span><span class="p">,</span> <span class="n">axes</span><span class="o">=</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">i_lr_t</span> <span class="o">=</span> <span class="mi">3</span>
+            <span class="n">i_lr_s</span> <span class="o">=</span> <span class="mi">1</span>
+            <span class="n">data_chunk</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">data_chunk</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">data_chunk</span><span class="p">),</span> <span class="n">exo_data</span><span class="p">,</span> <span class="n">i_lr_t</span><span class="p">,</span> <span class="n">i_lr_s</span>
+
+<div class="viewcode-block" id="ForwardPass.get_node_cmd">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.forward_pass.ForwardPass.html#sup3r.pipeline.forward_pass.ForwardPass.get_node_cmd">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">get_node_cmd</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">config</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a CLI call to initialize ForwardPassStrategy and run ForwardPass</span>
+<span class="sd">        on a single node based on an input config.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        config : dict</span>
+<span class="sd">            sup3r forward pass config with all necessary args and kwargs to</span>
+<span class="sd">            initialize ForwardPassStrategy and run ForwardPass on a single</span>
+<span class="sd">            node.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">use_cpu</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;use_cpu&#39;</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span>
+        <span class="n">import_str</span> <span class="o">=</span> <span class="s1">&#39;&#39;</span>
+        <span class="k">if</span> <span class="n">use_cpu</span><span class="p">:</span>
+            <span class="n">import_str</span> <span class="o">+=</span> <span class="s1">&#39;import os;</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="n">import_str</span> <span class="o">+=</span> <span class="s1">&#39;os.environ[&quot;CUDA_VISIBLE_DEVICES&quot;] = &quot;-1&quot;;</span><span class="se">\n</span><span class="s1">&#39;</span>
+        <span class="n">import_str</span> <span class="o">+=</span> <span class="s1">&#39;import time;</span><span class="se">\n</span><span class="s1">&#39;</span>
+        <span class="n">import_str</span> <span class="o">+=</span> <span class="s1">&#39;from gaps import Status;</span><span class="se">\n</span><span class="s1">&#39;</span>
+        <span class="n">import_str</span> <span class="o">+=</span> <span class="s1">&#39;from rex import init_logger;</span><span class="se">\n</span><span class="s1">&#39;</span>
+        <span class="n">import_str</span> <span class="o">+=</span> <span class="p">(</span>
+            <span class="s1">&#39;from sup3r.pipeline.forward_pass &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;import ForwardPassStrategy, </span><span class="si">{</span><span class="bp">cls</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+
+        <span class="n">fwps_init_str</span> <span class="o">=</span> <span class="n">get_fun_call_str</span><span class="p">(</span><span class="n">ForwardPassStrategy</span><span class="p">,</span> <span class="n">config</span><span class="p">)</span>
+
+        <span class="n">node_index</span> <span class="o">=</span> <span class="n">config</span><span class="p">[</span><span class="s1">&#39;node_index&#39;</span><span class="p">]</span>
+        <span class="n">log_file</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;log_file&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="n">log_level</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;log_level&#39;</span><span class="p">,</span> <span class="s1">&#39;INFO&#39;</span><span class="p">)</span>
+        <span class="n">log_arg_str</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;&quot;sup3r&quot;, log_level=&quot;</span><span class="si">{</span><span class="n">log_level</span><span class="si">}</span><span class="s1">&quot;&#39;</span>
+        <span class="k">if</span> <span class="n">log_file</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">log_arg_str</span> <span class="o">+=</span> <span class="sa">f</span><span class="s1">&#39;, log_file=&quot;</span><span class="si">{</span><span class="n">log_file</span><span class="si">}</span><span class="s1">&quot;&#39;</span>
+
+        <span class="n">cmd</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s2">&quot;python -c &#39;</span><span class="si">{</span><span class="n">import_str</span><span class="si">}</span><span class="s2">;</span><span class="se">\n</span><span class="s2">&quot;</span>
+            <span class="s1">&#39;t0 = time.time();</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;logger = init_logger(</span><span class="si">{</span><span class="n">log_arg_str</span><span class="si">}</span><span class="s1">);</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;strategy = </span><span class="si">{</span><span class="n">fwps_init_str</span><span class="si">}</span><span class="s1">;</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">cls</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s1">.run(strategy, </span><span class="si">{</span><span class="n">node_index</span><span class="si">}</span><span class="s1">);</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="s1">&#39;t_elap = time.time() - t0;</span><span class="se">\n</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+
+        <span class="n">pipeline_step</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;pipeline_step&#39;</span><span class="p">)</span> <span class="ow">or</span> <span class="n">ModuleName</span><span class="o">.</span><span class="n">FORWARD_PASS</span>
+        <span class="n">cmd</span> <span class="o">=</span> <span class="n">BaseCLI</span><span class="o">.</span><span class="n">add_status_cmd</span><span class="p">(</span><span class="n">config</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="p">,</span> <span class="n">cmd</span><span class="p">)</span>
+        <span class="n">cmd</span> <span class="o">+=</span> <span class="s2">&quot;;&#39;</span><span class="se">\n</span><span class="s2">&quot;</span>
+
+        <span class="k">return</span> <span class="n">cmd</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;</span><span class="se">\\</span><span class="s1">&#39;</span><span class="p">,</span> <span class="s1">&#39;/&#39;</span><span class="p">)</span></div>
+
+
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">_constant_output_check</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">out_data</span><span class="p">,</span> <span class="n">allowed_const</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if forward pass output is constant. This can happen when the</span>
+<span class="sd">        chunk going through the forward pass is too big.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        out_data : ndarray</span>
+<span class="sd">            Forward pass output corresponding to the given chunk index</span>
+<span class="sd">        allowed_const : list | bool</span>
+<span class="sd">            If your model is allowed to output a constant output, set this to</span>
+<span class="sd">            True to allow any constant output or a list of allowed possible</span>
+<span class="sd">            constant outputs. See :class:`ForwardPassStrategy` for more</span>
+<span class="sd">            information on this argument.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">failed</span> <span class="o">=</span> <span class="kc">False</span>
+        <span class="k">if</span> <span class="n">allowed_const</span> <span class="ow">is</span> <span class="kc">True</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">failed</span>
+        <span class="k">if</span> <span class="n">allowed_const</span> <span class="ow">is</span> <span class="kc">False</span><span class="p">:</span>
+            <span class="n">allowed_const</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">elif</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">allowed_const</span><span class="p">,</span> <span class="p">(</span><span class="nb">list</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">)):</span>
+            <span class="n">allowed_const</span> <span class="o">=</span> <span class="p">[</span><span class="n">allowed_const</span><span class="p">]</span>
+
+        <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">out_data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]):</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;All values are the same for feature channel </span><span class="si">{</span><span class="n">i</span><span class="si">}</span><span class="s1">!&#39;</span>
+            <span class="n">value0</span> <span class="o">=</span> <span class="n">out_data</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="n">i</span><span class="p">]</span>
+            <span class="n">all_same</span> <span class="o">=</span> <span class="p">(</span><span class="n">value0</span> <span class="o">==</span> <span class="n">out_data</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">i</span><span class="p">])</span><span class="o">.</span><span class="n">all</span><span class="p">()</span>
+            <span class="k">if</span> <span class="n">all_same</span> <span class="ow">and</span> <span class="n">value0</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">allowed_const</span><span class="p">:</span>
+                <span class="n">failed</span> <span class="o">=</span> <span class="kc">True</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="k">break</span>
+        <span class="k">return</span> <span class="n">failed</span>
+
+<div class="viewcode-block" id="ForwardPass.run">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.forward_pass.ForwardPass.html#sup3r.pipeline.forward_pass.ForwardPass.run">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">run</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">strategy</span><span class="p">,</span> <span class="n">node_index</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Runs forward passes on all spatiotemporal chunks for the given node</span>
+<span class="sd">        index.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        strategy : ForwardPassStrategy</span>
+<span class="sd">            ForwardPassStrategy instance with information on data chunks to run</span>
+<span class="sd">            forward passes on.</span>
+<span class="sd">        node_index : int</span>
+<span class="sd">            Index of node on which the forward passes for spatiotemporal chunks</span>
+<span class="sd">            will be run.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">strategy</span><span class="o">.</span><span class="n">node_finished</span><span class="p">(</span><span class="n">node_index</span><span class="p">):</span>
+            <span class="k">if</span> <span class="n">strategy</span><span class="o">.</span><span class="n">pass_workers</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+                <span class="bp">cls</span><span class="o">.</span><span class="n">_run_serial</span><span class="p">(</span><span class="n">strategy</span><span class="p">,</span> <span class="n">node_index</span><span class="p">)</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="bp">cls</span><span class="o">.</span><span class="n">_run_parallel</span><span class="p">(</span><span class="n">strategy</span><span class="p">,</span> <span class="n">node_index</span><span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                <span class="s1">&#39;Timing report:</span><span class="se">\n</span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span>
+                <span class="n">pprint</span><span class="o">.</span><span class="n">pformat</span><span class="p">(</span><span class="n">strategy</span><span class="o">.</span><span class="n">timer</span><span class="o">.</span><span class="n">log</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">2</span><span class="p">),</span>
+            <span class="p">)</span></div>
+
+
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">_run_serial</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">strategy</span><span class="p">,</span> <span class="n">node_index</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Runs forward passes, on all spatiotemporal chunks for the given node</span>
+<span class="sd">        index, in serial.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        strategy : ForwardPassStrategy</span>
+<span class="sd">            ForwardPassStrategy instance with information on data chunks to run</span>
+<span class="sd">            forward passes on.</span>
+<span class="sd">        node_index : int</span>
+<span class="sd">            Index of node on which the forward passes for spatiotemporal chunks</span>
+<span class="sd">            will be run.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">start</span> <span class="o">=</span> <span class="n">dt</span><span class="o">.</span><span class="n">now</span><span class="p">()</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Running forward passes on node </span><span class="si">{</span><span class="n">node_index</span><span class="si">}</span><span class="s1"> in serial.&#39;</span><span class="p">)</span>
+        <span class="n">fwp</span> <span class="o">=</span> <span class="bp">cls</span><span class="p">(</span><span class="n">strategy</span><span class="p">,</span> <span class="n">node_index</span><span class="o">=</span><span class="n">node_index</span><span class="p">)</span>
+        <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">chunk_index</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">strategy</span><span class="o">.</span><span class="n">node_chunks</span><span class="p">[</span><span class="n">node_index</span><span class="p">]):</span>
+            <span class="n">now</span> <span class="o">=</span> <span class="n">dt</span><span class="o">.</span><span class="n">now</span><span class="p">()</span>
+            <span class="k">if</span> <span class="ow">not</span> <span class="n">strategy</span><span class="o">.</span><span class="n">chunk_finished</span><span class="p">(</span><span class="n">chunk_index</span><span class="p">):</span>
+                <span class="n">chunk</span> <span class="o">=</span> <span class="n">fwp</span><span class="o">.</span><span class="n">get_input_chunk</span><span class="p">(</span><span class="n">chunk_index</span><span class="o">=</span><span class="n">chunk_index</span><span class="p">)</span>
+                <span class="n">failed</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">run_chunk</span><span class="p">(</span>
+                    <span class="n">chunk</span><span class="o">=</span><span class="n">chunk</span><span class="p">,</span>
+                    <span class="n">model_kwargs</span><span class="o">=</span><span class="n">strategy</span><span class="o">.</span><span class="n">model_kwargs</span><span class="p">,</span>
+                    <span class="n">model_class</span><span class="o">=</span><span class="n">strategy</span><span class="o">.</span><span class="n">model_class</span><span class="p">,</span>
+                    <span class="n">allowed_const</span><span class="o">=</span><span class="n">strategy</span><span class="o">.</span><span class="n">allowed_const</span><span class="p">,</span>
+                    <span class="n">output_workers</span><span class="o">=</span><span class="n">strategy</span><span class="o">.</span><span class="n">output_workers</span><span class="p">,</span>
+                    <span class="n">invert_uv</span><span class="o">=</span><span class="n">strategy</span><span class="o">.</span><span class="n">invert_uv</span><span class="p">,</span>
+                    <span class="n">meta</span><span class="o">=</span><span class="n">fwp</span><span class="o">.</span><span class="n">meta</span><span class="p">,</span>
+                <span class="p">)</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="s1">&#39;Finished forward pass on chunk_index=&#39;</span>
+                    <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">chunk_index</span><span class="si">}</span><span class="s1"> in </span><span class="si">{</span><span class="n">dt</span><span class="o">.</span><span class="n">now</span><span class="p">()</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">now</span><span class="si">}</span><span class="s1">. </span><span class="si">{</span><span class="n">i</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="mi">1</span><span class="si">}</span><span class="s1"> of &#39;</span>
+                    <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">strategy</span><span class="o">.</span><span class="n">node_chunks</span><span class="p">[</span><span class="n">node_index</span><span class="p">])</span><span class="si">}</span><span class="s1"> &#39;</span>
+                    <span class="sa">f</span><span class="s1">&#39;complete. </span><span class="si">{</span><span class="n">_mem_check</span><span class="p">()</span><span class="si">}</span><span class="s1">.&#39;</span>
+                <span class="p">)</span>
+                <span class="k">if</span> <span class="n">failed</span><span class="p">:</span>
+                    <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                        <span class="sa">f</span><span class="s1">&#39;Forward pass for chunk_index </span><span class="si">{</span><span class="n">chunk_index</span><span class="si">}</span><span class="s1"> failed &#39;</span>
+                        <span class="s1">&#39;with constant output.&#39;</span>
+                    <span class="p">)</span>
+                    <span class="k">raise</span> <span class="ne">MemoryError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;Finished forward passes on &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">strategy</span><span class="o">.</span><span class="n">node_chunks</span><span class="p">[</span><span class="n">node_index</span><span class="p">])</span><span class="si">}</span><span class="s1"> chunks in &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">dt</span><span class="o">.</span><span class="n">now</span><span class="p">()</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">start</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">_run_parallel</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">strategy</span><span class="p">,</span> <span class="n">node_index</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Runs forward passes, on all spatiotemporal chunks for the given node</span>
+<span class="sd">        index, with data extraction and forward pass routines in parallel.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        strategy : ForwardPassStrategy</span>
+<span class="sd">            ForwardPassStrategy instance with information on data chunks to run</span>
+<span class="sd">            forward passes on.</span>
+<span class="sd">        node_index : int</span>
+<span class="sd">            Index of node on which the forward passes for spatiotemporal chunks</span>
+<span class="sd">            will be run.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Running parallel forward passes on node </span><span class="si">{</span><span class="n">node_index</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="sa">f</span><span class="s1">&#39; with pass_workers=</span><span class="si">{</span><span class="n">strategy</span><span class="o">.</span><span class="n">pass_workers</span><span class="si">}</span><span class="s1">.&#39;</span>
+        <span class="p">)</span>
+
+        <span class="n">futures</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="n">start</span> <span class="o">=</span> <span class="n">dt</span><span class="o">.</span><span class="n">now</span><span class="p">()</span>
+        <span class="n">pool_kws</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;max_workers&#39;</span><span class="p">:</span> <span class="n">strategy</span><span class="o">.</span><span class="n">pass_workers</span><span class="p">,</span> <span class="s1">&#39;loggers&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s1">&#39;sup3r&#39;</span><span class="p">]}</span>
+        <span class="n">fwp</span> <span class="o">=</span> <span class="bp">cls</span><span class="p">(</span><span class="n">strategy</span><span class="p">,</span> <span class="n">node_index</span><span class="o">=</span><span class="n">node_index</span><span class="p">)</span>
+        <span class="k">with</span> <span class="n">SpawnProcessPool</span><span class="p">(</span><span class="o">**</span><span class="n">pool_kws</span><span class="p">)</span> <span class="k">as</span> <span class="n">exe</span><span class="p">:</span>
+            <span class="n">now</span> <span class="o">=</span> <span class="n">dt</span><span class="o">.</span><span class="n">now</span><span class="p">()</span>
+            <span class="k">for</span> <span class="n">_</span><span class="p">,</span> <span class="n">chunk_index</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">strategy</span><span class="o">.</span><span class="n">node_chunks</span><span class="p">[</span><span class="n">node_index</span><span class="p">]):</span>
+                <span class="k">if</span> <span class="ow">not</span> <span class="n">strategy</span><span class="o">.</span><span class="n">chunk_finished</span><span class="p">(</span><span class="n">chunk_index</span><span class="p">):</span>
+                    <span class="n">chunk</span> <span class="o">=</span> <span class="n">fwp</span><span class="o">.</span><span class="n">get_input_chunk</span><span class="p">(</span><span class="n">chunk_index</span><span class="o">=</span><span class="n">chunk_index</span><span class="p">)</span>
+                    <span class="n">fut</span> <span class="o">=</span> <span class="n">exe</span><span class="o">.</span><span class="n">submit</span><span class="p">(</span>
+                        <span class="n">fwp</span><span class="o">.</span><span class="n">run_chunk</span><span class="p">,</span>
+                        <span class="n">chunk</span><span class="o">=</span><span class="n">chunk</span><span class="p">,</span>
+                        <span class="n">model_kwargs</span><span class="o">=</span><span class="n">strategy</span><span class="o">.</span><span class="n">model_kwargs</span><span class="p">,</span>
+                        <span class="n">model_class</span><span class="o">=</span><span class="n">strategy</span><span class="o">.</span><span class="n">model_class</span><span class="p">,</span>
+                        <span class="n">allowed_const</span><span class="o">=</span><span class="n">strategy</span><span class="o">.</span><span class="n">allowed_const</span><span class="p">,</span>
+                        <span class="n">output_workers</span><span class="o">=</span><span class="n">strategy</span><span class="o">.</span><span class="n">output_workers</span><span class="p">,</span>
+                        <span class="n">meta</span><span class="o">=</span><span class="n">fwp</span><span class="o">.</span><span class="n">meta</span><span class="p">,</span>
+                    <span class="p">)</span>
+                    <span class="n">futures</span><span class="p">[</span><span class="n">fut</span><span class="p">]</span> <span class="o">=</span> <span class="p">{</span>
+                        <span class="s1">&#39;chunk_index&#39;</span><span class="p">:</span> <span class="n">chunk_index</span><span class="p">,</span>
+                        <span class="s1">&#39;start_time&#39;</span><span class="p">:</span> <span class="n">dt</span><span class="o">.</span><span class="n">now</span><span class="p">(),</span>
+                    <span class="p">}</span>
+
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;Started </span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">futures</span><span class="p">)</span><span class="si">}</span><span class="s1"> forward pass runs in &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">dt</span><span class="o">.</span><span class="n">now</span><span class="p">()</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">now</span><span class="si">}</span><span class="s1">.&#39;</span>
+            <span class="p">)</span>
+
+            <span class="k">try</span><span class="p">:</span>
+                <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">future</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">as_completed</span><span class="p">(</span><span class="n">futures</span><span class="p">)):</span>
+                    <span class="n">failed</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">future</span><span class="o">.</span><span class="n">result</span><span class="p">()</span>
+                    <span class="n">chunk_idx</span> <span class="o">=</span> <span class="n">futures</span><span class="p">[</span><span class="n">future</span><span class="p">][</span><span class="s1">&#39;chunk_index&#39;</span><span class="p">]</span>
+                    <span class="n">start_time</span> <span class="o">=</span> <span class="n">futures</span><span class="p">[</span><span class="n">future</span><span class="p">][</span><span class="s1">&#39;start_time&#39;</span><span class="p">]</span>
+                    <span class="k">if</span> <span class="n">failed</span><span class="p">:</span>
+                        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                            <span class="sa">f</span><span class="s1">&#39;Forward pass for chunk_index </span><span class="si">{</span><span class="n">chunk_idx</span><span class="si">}</span><span class="s1"> failed &#39;</span>
+                            <span class="s1">&#39;with constant output.&#39;</span>
+                        <span class="p">)</span>
+                        <span class="k">raise</span> <span class="ne">MemoryError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                    <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                        <span class="s1">&#39;Finished forward pass on chunk_index=&#39;</span>
+                        <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">chunk_idx</span><span class="si">}</span><span class="s1"> in </span><span class="si">{</span><span class="n">dt</span><span class="o">.</span><span class="n">now</span><span class="p">()</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">start_time</span><span class="si">}</span><span class="s1">. &#39;</span>
+                        <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">i</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="mi">1</span><span class="si">}</span><span class="s1"> of </span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">futures</span><span class="p">)</span><span class="si">}</span><span class="s1"> complete. </span><span class="si">{</span><span class="n">_mem_check</span><span class="p">()</span><span class="si">}</span><span class="s1">&#39;</span>
+                    <span class="p">)</span>
+                    <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
+                <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="s1">&#39;Error running forward pass on chunk_index=&#39;</span>
+                    <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">futures</span><span class="p">[</span><span class="n">future</span><span class="p">][</span><span class="s2">&quot;chunk_index&quot;</span><span class="p">]</span><span class="si">}</span><span class="s1">.&#39;</span>
+                <span class="p">)</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">exception</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;Finished asynchronous forward passes on &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">strategy</span><span class="o">.</span><span class="n">node_chunks</span><span class="p">[</span><span class="n">node_index</span><span class="p">])</span><span class="si">}</span><span class="s1"> chunks in &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">dt</span><span class="o">.</span><span class="n">now</span><span class="p">()</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">start</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+
+<div class="viewcode-block" id="ForwardPass.run_chunk">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.forward_pass.ForwardPass.html#sup3r.pipeline.forward_pass.ForwardPass.run_chunk">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">run_chunk</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">chunk</span><span class="p">:</span> <span class="n">ForwardPassChunk</span><span class="p">,</span>
+        <span class="n">model_kwargs</span><span class="p">,</span>
+        <span class="n">model_class</span><span class="p">,</span>
+        <span class="n">allowed_const</span><span class="p">,</span>
+        <span class="n">invert_uv</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">meta</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">output_workers</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Run a forward pass on single spatiotemporal chunk.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        chunk : :class:`FowardPassChunk`</span>
+<span class="sd">            Struct with chunk data (including exo data if applicable) and</span>
+<span class="sd">            chunk attributes (e.g. chunk specific slices, times, lat/lon, etc)</span>
+<span class="sd">        model_kwargs : str | list</span>
+<span class="sd">            Keyword arguments to send to `model_class.load(**model_kwargs)` to</span>
+<span class="sd">            initialize the GAN. Typically this is just the string path to the</span>
+<span class="sd">            model directory, but can be multiple models or arguments for more</span>
+<span class="sd">            complex models.</span>
+<span class="sd">        model_class : str</span>
+<span class="sd">            Name of the sup3r model class for the GAN model to load. The</span>
+<span class="sd">            default is the basic spatial / spatiotemporal Sup3rGan model. This</span>
+<span class="sd">            will be loaded from sup3r.models</span>
+<span class="sd">        allowed_const : list | bool</span>
+<span class="sd">            If your model is allowed to output a constant output, set this to</span>
+<span class="sd">            True to allow any constant output or a list of allowed possible</span>
+<span class="sd">            constant outputs. See :class:`ForwardPassStrategy` for more</span>
+<span class="sd">            information on this argument.</span>
+<span class="sd">        invert_uv : bool</span>
+<span class="sd">            Whether to convert uv to windspeed and winddirection for writing</span>
+<span class="sd">            output. This defaults to True for H5 output and False for NETCDF</span>
+<span class="sd">            output.</span>
+<span class="sd">        meta : dict | None</span>
+<span class="sd">            Meta data to write to forward pass output file.</span>
+<span class="sd">        output_workers : int | None</span>
+<span class="sd">            Max number of workers to use for writing forward pass output.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        failed : bool</span>
+<span class="sd">            Whether the forward pass failed due to constant output.</span>
+<span class="sd">        output_data : ndarray</span>
+<span class="sd">            Array of high-resolution output from generator</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;Running forward pass for chunk_index=</span><span class="si">{</span><span class="n">chunk</span><span class="o">.</span><span class="n">index</span><span class="si">}</span><span class="s1">.&#39;</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="n">model</span> <span class="o">=</span> <span class="n">get_model</span><span class="p">(</span><span class="n">model_class</span><span class="p">,</span> <span class="n">model_kwargs</span><span class="p">)</span>
+
+        <span class="n">output_data</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">run_generator</span><span class="p">(</span>
+            <span class="n">data_chunk</span><span class="o">=</span><span class="n">chunk</span><span class="o">.</span><span class="n">input_data</span><span class="p">,</span>
+            <span class="n">hr_crop_slices</span><span class="o">=</span><span class="n">chunk</span><span class="o">.</span><span class="n">hr_crop_slice</span><span class="p">,</span>
+            <span class="n">s_enhance</span><span class="o">=</span><span class="n">model</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">,</span>
+            <span class="n">t_enhance</span><span class="o">=</span><span class="n">model</span><span class="o">.</span><span class="n">t_enhance</span><span class="p">,</span>
+            <span class="n">exo_data</span><span class="o">=</span><span class="n">chunk</span><span class="o">.</span><span class="n">exo_data</span><span class="p">,</span>
+            <span class="n">model</span><span class="o">=</span><span class="n">model</span><span class="p">,</span>
+        <span class="p">)</span>
+
+        <span class="n">failed</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">_constant_output_check</span><span class="p">(</span>
+            <span class="n">output_data</span><span class="p">,</span> <span class="n">allowed_const</span><span class="o">=</span><span class="n">allowed_const</span>
+        <span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">chunk</span><span class="o">.</span><span class="n">out_file</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">failed</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Saving forward pass output to </span><span class="si">{</span><span class="n">chunk</span><span class="o">.</span><span class="n">out_file</span><span class="si">}</span><span class="s1">.&#39;</span><span class="p">)</span>
+            <span class="n">output_type</span> <span class="o">=</span> <span class="n">get_source_type</span><span class="p">(</span><span class="n">chunk</span><span class="o">.</span><span class="n">out_file</span><span class="p">)</span>
+            <span class="bp">cls</span><span class="o">.</span><span class="n">OUTPUT_HANDLER_CLASS</span><span class="p">[</span><span class="n">output_type</span><span class="p">]</span><span class="o">.</span><span class="n">_write_output</span><span class="p">(</span>
+                <span class="n">data</span><span class="o">=</span><span class="n">output_data</span><span class="p">,</span>
+                <span class="n">features</span><span class="o">=</span><span class="n">lowered</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">hr_out_features</span><span class="p">),</span>
+                <span class="n">lat_lon</span><span class="o">=</span><span class="n">chunk</span><span class="o">.</span><span class="n">hr_lat_lon</span><span class="p">,</span>
+                <span class="n">times</span><span class="o">=</span><span class="n">chunk</span><span class="o">.</span><span class="n">hr_times</span><span class="p">,</span>
+                <span class="n">out_file</span><span class="o">=</span><span class="n">chunk</span><span class="o">.</span><span class="n">out_file</span><span class="p">,</span>
+                <span class="n">meta_data</span><span class="o">=</span><span class="n">meta</span><span class="p">,</span>
+                <span class="n">invert_uv</span><span class="o">=</span><span class="n">invert_uv</span><span class="p">,</span>
+                <span class="n">max_workers</span><span class="o">=</span><span class="n">output_workers</span><span class="p">,</span>
+                <span class="n">gids</span><span class="o">=</span><span class="n">chunk</span><span class="o">.</span><span class="n">gids</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="n">failed</span><span class="p">,</span> <span class="n">output_data</span></div>
+</div>
+
+</pre></div>
+
+                </article>
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+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1></h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <h1>Source code for sup3r.pipeline.forward_pass_cli</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;sup3r forward pass CLI entry points.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">copy</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">from</span> <span class="nn">inspect</span> <span class="kn">import</span> <span class="n">signature</span>
+
+<span class="kn">import</span> <span class="nn">click</span>
+
+<span class="kn">from</span> <span class="nn">sup3r</span> <span class="kn">import</span> <span class="n">__version__</span>
+<span class="kn">from</span> <span class="nn">sup3r.pipeline.forward_pass</span> <span class="kn">import</span> <span class="n">ForwardPass</span><span class="p">,</span> <span class="n">ForwardPassStrategy</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities</span> <span class="kn">import</span> <span class="n">ModuleName</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.cli</span> <span class="kn">import</span> <span class="n">AVAILABLE_HARDWARE_OPTIONS</span><span class="p">,</span> <span class="n">BaseCLI</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<span class="nd">@click</span><span class="o">.</span><span class="n">group</span><span class="p">()</span>
+<span class="nd">@click</span><span class="o">.</span><span class="n">version_option</span><span class="p">(</span><span class="n">version</span><span class="o">=</span><span class="n">__version__</span><span class="p">)</span>
+<span class="nd">@click</span><span class="o">.</span><span class="n">option</span><span class="p">(</span>
+    <span class="s1">&#39;-v&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;--verbose&#39;</span><span class="p">,</span>
+    <span class="n">is_flag</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">help</span><span class="o">=</span><span class="s1">&#39;Flag to turn on debug logging. Default is not verbose.&#39;</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="nd">@click</span><span class="o">.</span><span class="n">pass_context</span>
+<span class="k">def</span> <span class="nf">main</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">verbose</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Sup3r Forward Pass Command Line Interface&quot;&quot;&quot;</span>
+    <span class="n">ctx</span><span class="o">.</span><span class="n">ensure_object</span><span class="p">(</span><span class="nb">dict</span><span class="p">)</span>
+    <span class="n">ctx</span><span class="o">.</span><span class="n">obj</span><span class="p">[</span><span class="s1">&#39;VERBOSE&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">verbose</span>
+
+
+<span class="nd">@main</span><span class="o">.</span><span class="n">command</span><span class="p">()</span>
+<span class="nd">@click</span><span class="o">.</span><span class="n">option</span><span class="p">(</span>
+    <span class="s1">&#39;--config_file&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;-c&#39;</span><span class="p">,</span>
+    <span class="n">required</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="nb">type</span><span class="o">=</span><span class="n">click</span><span class="o">.</span><span class="n">Path</span><span class="p">(</span><span class="n">exists</span><span class="o">=</span><span class="kc">True</span><span class="p">),</span>
+    <span class="n">help</span><span class="o">=</span><span class="s1">&#39;sup3r forward pass configuration .json file.&#39;</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="nd">@click</span><span class="o">.</span><span class="n">option</span><span class="p">(</span>
+    <span class="s1">&#39;-v&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;--verbose&#39;</span><span class="p">,</span>
+    <span class="n">is_flag</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">help</span><span class="o">=</span><span class="s1">&#39;Flag to turn on debug logging. Default is not verbose.&#39;</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="nd">@click</span><span class="o">.</span><span class="n">pass_context</span>
+<span class="k">def</span> <span class="nf">from_config</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">config_file</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Run sup3r forward pass from a config file.&quot;&quot;&quot;</span>
+
+    <span class="n">config</span> <span class="o">=</span> <span class="n">BaseCLI</span><span class="o">.</span><span class="n">from_config_preflight</span><span class="p">(</span>
+        <span class="n">ModuleName</span><span class="o">.</span><span class="n">FORWARD_PASS</span><span class="p">,</span> <span class="n">ctx</span><span class="p">,</span> <span class="n">config_file</span><span class="p">,</span> <span class="n">verbose</span>
+    <span class="p">)</span>
+
+    <span class="n">exec_kwargs</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;execution_control&#39;</span><span class="p">,</span> <span class="p">{})</span>
+    <span class="n">hardware_option</span> <span class="o">=</span> <span class="n">exec_kwargs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">&#39;option&#39;</span><span class="p">,</span> <span class="s1">&#39;local&#39;</span><span class="p">)</span>
+    <span class="n">node_index</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;node_index&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+    <span class="n">basename</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;job_name&#39;</span><span class="p">)</span>
+    <span class="n">log_pattern</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;log_pattern&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+
+    <span class="n">sig</span> <span class="o">=</span> <span class="n">signature</span><span class="p">(</span><span class="n">ForwardPassStrategy</span><span class="p">)</span>
+    <span class="n">strategy_kwargs</span> <span class="o">=</span> <span class="p">{</span><span class="n">k</span><span class="p">:</span> <span class="n">v</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">config</span><span class="o">.</span><span class="n">items</span><span class="p">()</span> <span class="k">if</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">sig</span><span class="o">.</span><span class="n">parameters</span><span class="p">}</span>
+    <span class="n">strategy</span> <span class="o">=</span> <span class="n">ForwardPassStrategy</span><span class="p">(</span><span class="o">**</span><span class="n">strategy_kwargs</span><span class="p">,</span> <span class="n">head_node</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+    <span class="k">if</span> <span class="n">node_index</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">nodes</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="p">[</span><span class="n">node_index</span><span class="p">]</span> <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">node_index</span><span class="p">,</span> <span class="nb">list</span><span class="p">)</span> <span class="k">else</span> <span class="n">node_index</span>
+        <span class="p">)</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">nodes</span> <span class="o">=</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">strategy</span><span class="o">.</span><span class="n">node_chunks</span><span class="p">))</span>
+    <span class="k">for</span> <span class="n">i_node</span> <span class="ow">in</span> <span class="n">nodes</span><span class="p">:</span>
+        <span class="n">node_config</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">config</span><span class="p">)</span>
+        <span class="n">node_config</span><span class="p">[</span><span class="s1">&#39;node_index&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">i_node</span>
+        <span class="n">node_config</span><span class="p">[</span><span class="s1">&#39;log_file&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">log_pattern</span>
+            <span class="k">if</span> <span class="n">log_pattern</span> <span class="ow">is</span> <span class="kc">None</span>
+            <span class="k">else</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">normpath</span><span class="p">(</span><span class="n">log_pattern</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">node_index</span><span class="o">=</span><span class="n">i_node</span><span class="p">))</span>
+        <span class="p">)</span>
+        <span class="n">name</span> <span class="o">=</span> <span class="s1">&#39;</span><span class="si">{}</span><span class="s1">_</span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">basename</span><span class="p">,</span> <span class="nb">str</span><span class="p">(</span><span class="n">i_node</span><span class="p">)</span><span class="o">.</span><span class="n">zfill</span><span class="p">(</span><span class="mi">6</span><span class="p">))</span>
+        <span class="n">ctx</span><span class="o">.</span><span class="n">obj</span><span class="p">[</span><span class="s1">&#39;NAME&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">name</span>
+        <span class="n">node_config</span><span class="p">[</span><span class="s1">&#39;job_name&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">name</span>
+        <span class="n">node_config</span><span class="p">[</span><span class="s1">&#39;pipeline_step&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">pipeline_step</span>
+        <span class="n">cmd</span> <span class="o">=</span> <span class="n">ForwardPass</span><span class="o">.</span><span class="n">get_node_cmd</span><span class="p">(</span><span class="n">node_config</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">hardware_option</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">in</span> <span class="n">AVAILABLE_HARDWARE_OPTIONS</span><span class="p">:</span>
+            <span class="n">kickoff_slurm_job</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">cmd</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="p">,</span> <span class="o">**</span><span class="n">exec_kwargs</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">kickoff_local_job</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">cmd</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="kickoff_slurm_job">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.forward_pass_cli.kickoff_slurm_job.html#sup3r.pipeline.forward_pass_cli.kickoff_slurm_job">[docs]</a>
+<span class="k">def</span> <span class="nf">kickoff_slurm_job</span><span class="p">(</span>
+    <span class="n">ctx</span><span class="p">,</span>
+    <span class="n">cmd</span><span class="p">,</span>
+    <span class="n">pipeline_step</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="n">alloc</span><span class="o">=</span><span class="s1">&#39;sup3r&#39;</span><span class="p">,</span>
+    <span class="n">memory</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="n">walltime</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span>
+    <span class="n">feature</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="n">stdout_path</span><span class="o">=</span><span class="s1">&#39;./stdout/&#39;</span><span class="p">,</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Run sup3r on HPC via SLURM job submission.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    ctx : click.pass_context</span>
+<span class="sd">        Click context object where ctx.obj is a dictionary</span>
+<span class="sd">    cmd : str</span>
+<span class="sd">        Command to be submitted in SLURM shell script. Example:</span>
+<span class="sd">            &#39;python -m sup3r.cli forward_pass -c &lt;config_file&gt;&#39;</span>
+<span class="sd">    pipeline_step : str, optional</span>
+<span class="sd">        Name of the pipeline step being run. If ``None``, the</span>
+<span class="sd">        ``pipeline_step`` will be set to the ``module_name``,</span>
+<span class="sd">        mimicking old reV behavior. By default, ``None``.</span>
+<span class="sd">    alloc : str</span>
+<span class="sd">        HPC project (allocation) handle. Example: &#39;sup3r&#39;.</span>
+<span class="sd">    memory : int</span>
+<span class="sd">        Node memory request in GB.</span>
+<span class="sd">    walltime : float</span>
+<span class="sd">        Node walltime request in hours.</span>
+<span class="sd">    feature : str</span>
+<span class="sd">        Additional flags for SLURM job. Format is &quot;--qos=high&quot;</span>
+<span class="sd">        or &quot;--depend=[state:job_id]&quot;. Default is None.</span>
+<span class="sd">    stdout_path : str</span>
+<span class="sd">        Path to print .stdout and .stderr files.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">BaseCLI</span><span class="o">.</span><span class="n">kickoff_slurm_job</span><span class="p">(</span>
+        <span class="n">ModuleName</span><span class="o">.</span><span class="n">FORWARD_PASS</span><span class="p">,</span>
+        <span class="n">ctx</span><span class="p">,</span>
+        <span class="n">cmd</span><span class="p">,</span>
+        <span class="n">alloc</span><span class="p">,</span>
+        <span class="n">memory</span><span class="p">,</span>
+        <span class="n">walltime</span><span class="p">,</span>
+        <span class="n">feature</span><span class="p">,</span>
+        <span class="n">stdout_path</span><span class="p">,</span>
+        <span class="n">pipeline_step</span><span class="p">,</span>
+    <span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="kickoff_local_job">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.forward_pass_cli.kickoff_local_job.html#sup3r.pipeline.forward_pass_cli.kickoff_local_job">[docs]</a>
+<span class="k">def</span> <span class="nf">kickoff_local_job</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">cmd</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Run sup3r forward pass locally.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    ctx : click.pass_context</span>
+<span class="sd">        Click context object where ctx.obj is a dictionary</span>
+<span class="sd">    cmd : str</span>
+<span class="sd">        Command to be submitted in shell script. Example:</span>
+<span class="sd">            &#39;python -m sup3r.cli forward_pass -c &lt;config_file&gt;&#39;</span>
+<span class="sd">    pipeline_step : str, optional</span>
+<span class="sd">        Name of the pipeline step being run. If ``None``, the</span>
+<span class="sd">        ``pipeline_step`` will be set to the ``module_name``,</span>
+<span class="sd">        mimicking old reV behavior. By default, ``None``.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">BaseCLI</span><span class="o">.</span><span class="n">kickoff_local_job</span><span class="p">(</span><span class="n">ModuleName</span><span class="o">.</span><span class="n">FORWARD_PASS</span><span class="p">,</span> <span class="n">ctx</span><span class="p">,</span> <span class="n">cmd</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="p">)</span></div>
+
+
+
+<span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s1">&#39;__main__&#39;</span><span class="p">:</span>
+    <span class="k">try</span><span class="p">:</span>
+        <span class="n">main</span><span class="p">(</span><span class="n">obj</span><span class="o">=</span><span class="p">{})</span>
+    <span class="k">except</span> <span class="ne">Exception</span><span class="p">:</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">exception</span><span class="p">(</span><span class="s1">&#39;Error running sup3r forward pass CLI&#39;</span><span class="p">)</span>
+        <span class="k">raise</span>
+</pre></div>
+
+                </article>
+              
+
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+  <h1>Source code for sup3r.pipeline.slicer</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Slicer class for chunking forward pass input&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">from</span> <span class="nn">dataclasses</span> <span class="kn">import</span> <span class="n">dataclass</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Union</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.pipeline.utilities</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">get_chunk_slices</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="n">_parse_time_slice</span><span class="p">,</span> <span class="n">log_args</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="ForwardPassSlicer">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer">[docs]</a>
+<span class="nd">@dataclass</span>
+<span class="k">class</span> <span class="nc">ForwardPassSlicer</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Get slices for sending data chunks through generator.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    coarse_shape : tuple</span>
+<span class="sd">        Shape of full domain for low res data</span>
+<span class="sd">    time_steps : int</span>
+<span class="sd">        Number of time steps for full temporal domain of low res data. This</span>
+<span class="sd">        is used to construct a dummy_time_index from np.arange(time_steps)</span>
+<span class="sd">    time_slice : slice | list</span>
+<span class="sd">        Slice to use to extract range from time_index. Can be a ``slice(start,</span>
+<span class="sd">        stop, step)`` or list ``[start, stop, step]``</span>
+<span class="sd">    chunk_shape : tuple</span>
+<span class="sd">        Max shape (spatial_1, spatial_2, temporal) of an unpadded coarse</span>
+<span class="sd">        chunk to use for a forward pass. The number of nodes that the</span>
+<span class="sd">        ForwardPassStrategy is set to distribute to is calculated by</span>
+<span class="sd">        dividing up the total time index from all file_paths by the</span>
+<span class="sd">        temporal part of this chunk shape. Each node will then be</span>
+<span class="sd">        parallelized accross parallel processes by the spatial chunk shape.</span>
+<span class="sd">        If temporal_pad / spatial_pad are non zero the chunk sent</span>
+<span class="sd">        to the generator can be bigger than this shape. If running in</span>
+<span class="sd">        serial set this equal to the shape of the full spatiotemporal data</span>
+<span class="sd">        volume for best performance.</span>
+<span class="sd">    s_enhance : int</span>
+<span class="sd">        Spatial enhancement factor</span>
+<span class="sd">    t_enhance : int</span>
+<span class="sd">        Temporal enhancement factor</span>
+<span class="sd">    spatial_pad : int</span>
+<span class="sd">        Size of spatial overlap between coarse chunks passed to forward</span>
+<span class="sd">        passes for subsequent spatial stitching. This overlap will pad both</span>
+<span class="sd">        sides of the fwp_chunk_shape. Note that the first and last chunks</span>
+<span class="sd">        in any of the spatial dimension will not be padded.</span>
+<span class="sd">    temporal_pad : int</span>
+<span class="sd">        Size of temporal overlap between coarse chunks passed to forward</span>
+<span class="sd">        passes for subsequent temporal stitching. This overlap will pad</span>
+<span class="sd">        both sides of the fwp_chunk_shape. Note that the first and last</span>
+<span class="sd">        chunks in the temporal dimension will not be padded.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">coarse_shape</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">tuple</span><span class="p">,</span> <span class="nb">list</span><span class="p">]</span>
+    <span class="n">time_steps</span><span class="p">:</span> <span class="nb">int</span>
+    <span class="n">s_enhance</span><span class="p">:</span> <span class="nb">int</span>
+    <span class="n">t_enhance</span><span class="p">:</span> <span class="nb">int</span>
+    <span class="n">time_slice</span><span class="p">:</span> <span class="nb">slice</span>
+    <span class="n">temporal_pad</span><span class="p">:</span> <span class="nb">int</span>
+    <span class="n">spatial_pad</span><span class="p">:</span> <span class="nb">int</span>
+    <span class="n">chunk_shape</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">tuple</span><span class="p">,</span> <span class="nb">list</span><span class="p">]</span>
+
+    <span class="nd">@log_args</span>
+    <span class="k">def</span> <span class="nf">__post_init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">dummy_time_index</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">time_steps</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">time_slice</span> <span class="o">=</span> <span class="n">_parse_time_slice</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">time_slice</span><span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">_chunk_lookup</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_s1_lr_slices</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_s2_lr_slices</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_s1_lr_pad_slices</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_s2_lr_pad_slices</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_s_lr_slices</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_s_lr_pad_slices</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_s_lr_crop_slices</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_t_lr_pad_slices</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_t_lr_crop_slices</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_s_hr_slices</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_s_hr_crop_slices</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_t_hr_crop_slices</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_hr_crop_slices</span> <span class="o">=</span> <span class="kc">None</span>
+
+<div class="viewcode-block" id="ForwardPassSlicer.get_spatial_slices">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.get_spatial_slices">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_spatial_slices</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get spatial slices for small data chunks that are passed through</span>
+<span class="sd">        generator</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        s_lr_slices: list</span>
+<span class="sd">            List of slices for low res data chunks which have not been padded.</span>
+<span class="sd">            data_handler.data[s_lr_slice] corresponds to an unpadded low res</span>
+<span class="sd">            input to the model.</span>
+<span class="sd">        s_lr_pad_slices : list</span>
+<span class="sd">            List of slices which have been padded so that high res output</span>
+<span class="sd">            can be stitched together. data_handler.data[s_lr_pad_slice]</span>
+<span class="sd">            corresponds to a padded low res input to the model.</span>
+<span class="sd">        s_hr_slices : list</span>
+<span class="sd">            List of slices for high res data corresponding to the</span>
+<span class="sd">            lr_slices regions. output_array[s_hr_slice] corresponds to the</span>
+<span class="sd">            cropped generator output.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">s_lr_slices</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">s_lr_pad_slices</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">s_hr_slices</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="ForwardPassSlicer.get_time_slices">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.get_time_slices">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_time_slices</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Calculate the number of time chunks across the full time index</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        t_lr_slices : list</span>
+<span class="sd">            List of low-res non-padded time index slices. e.g. If</span>
+<span class="sd">            fwp_chunk_size[2] is 5 then the size of these slices will always</span>
+<span class="sd">            be 5.</span>
+<span class="sd">        t_lr_pad_slices : list</span>
+<span class="sd">            List of low-res padded time index slices. e.g. If fwp_chunk_size[2]</span>
+<span class="sd">            is 5 the size of these slices will be 15, with exceptions at the</span>
+<span class="sd">            start and end of the full time index.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_lr_slices</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_lr_pad_slices</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">s_lr_slices</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get low res spatial slices for small data chunks that are passed</span>
+<span class="sd">        through generator</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        _s_lr_slices : list</span>
+<span class="sd">            List of spatial slices corresponding to the unpadded spatial region</span>
+<span class="sd">            going through the generator</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_lr_slices</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_s_lr_slices</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="p">(</span><span class="n">s1</span><span class="p">,</span> <span class="n">s2</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">s1</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">s1_lr_slices</span>
+                <span class="k">for</span> <span class="n">s2</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">s2_lr_slices</span>
+            <span class="p">]</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_lr_slices</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">s_lr_pad_slices</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get low res padded slices for small data chunks that are passed</span>
+<span class="sd">        through generator</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        _s_lr_pad_slices : list</span>
+<span class="sd">            List of slices which have been padded so that high res output</span>
+<span class="sd">            can be stitched together. Each entry in this list has a slice for</span>
+<span class="sd">            each spatial dimension. data_handler.data[s_lr_pad_slice] gives the</span>
+<span class="sd">            padded data volume passed through the generator</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_lr_pad_slices</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_s_lr_pad_slices</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="p">(</span><span class="n">s1</span><span class="p">,</span> <span class="n">s2</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">s1</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">s1_lr_pad_slices</span>
+                <span class="k">for</span> <span class="n">s2</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">s2_lr_pad_slices</span>
+            <span class="p">]</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_lr_pad_slices</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">t_lr_pad_slices</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get low res temporal padded slices for distributing time chunks</span>
+<span class="sd">        across nodes. These slices correspond to the time chunks sent to each</span>
+<span class="sd">        node and are padded according to temporal_pad.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        _t_lr_pad_slices : list</span>
+<span class="sd">            List of low res temporal slices which have been padded so that high</span>
+<span class="sd">            res output can be stitched together</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_lr_pad_slices</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_t_lr_pad_slices</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_padded_slices</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">t_lr_slices</span><span class="p">,</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">time_steps</span><span class="p">,</span>
+                <span class="mi">1</span><span class="p">,</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">temporal_pad</span><span class="p">,</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">time_slice</span><span class="o">.</span><span class="n">step</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_lr_pad_slices</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">t_lr_crop_slices</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get low res temporal cropped slices for cropping time index of</span>
+<span class="sd">        padded input data.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        _t_lr_crop_slices : list</span>
+<span class="sd">            List of low res temporal slices for cropping padded input data</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_lr_crop_slices</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_t_lr_crop_slices</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_cropped_slices</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">t_lr_slices</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_lr_pad_slices</span><span class="p">,</span> <span class="mi">1</span>
+            <span class="p">)</span>
+
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_lr_crop_slices</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">t_hr_crop_slices</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get high res temporal cropped slices for cropping forward pass</span>
+<span class="sd">        output before stitching together</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        _t_hr_crop_slices : list</span>
+<span class="sd">            List of high res temporal slices for cropping padded generator</span>
+<span class="sd">            output</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">hr_crop_start</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="n">hr_crop_stop</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">temporal_pad</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="n">hr_crop_start</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">temporal_pad</span>
+            <span class="n">hr_crop_stop</span> <span class="o">=</span> <span class="o">-</span><span class="n">hr_crop_start</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_hr_crop_slices</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="c1"># don&#39;t use self.get_cropped_slices() here because temporal padding</span>
+            <span class="c1"># gets weird at beginning and end of timeseries and the temporal</span>
+            <span class="c1"># axis should always be evenly chunked.</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_t_hr_crop_slices</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="nb">slice</span><span class="p">(</span><span class="n">hr_crop_start</span><span class="p">,</span> <span class="n">hr_crop_stop</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">t_lr_slices</span><span class="p">))</span>
+            <span class="p">]</span>
+
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_hr_crop_slices</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">s1_hr_slices</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get high res spatial slices for first spatial dimension&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_hr_slices</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">s1_lr_slices</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">s2_hr_slices</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get high res spatial slices for second spatial dimension&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_hr_slices</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">s2_lr_slices</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">s_hr_slices</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get high res slices for indexing full generator output array</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        _s_hr_slices : list</span>
+<span class="sd">            List of high res slices. Each entry in this list has a slice for</span>
+<span class="sd">            each spatial dimension. output[hr_slice] gives the superresolved</span>
+<span class="sd">            domain corresponding to data_handler.data[lr_slice]</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_hr_slices</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_s_hr_slices</span> <span class="o">=</span> <span class="p">[]</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_s_hr_slices</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="p">(</span><span class="n">s1</span><span class="p">,</span> <span class="n">s2</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">s1</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">s1_hr_slices</span>
+                <span class="k">for</span> <span class="n">s2</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">s2_hr_slices</span>
+            <span class="p">]</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_hr_slices</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">s_lr_crop_slices</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get low res cropped slices for cropping input chunk domain</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        _s_lr_crop_slices : list</span>
+<span class="sd">            List of low res cropped slices. Each entry in this list has a</span>
+<span class="sd">            slice for each spatial dimension.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_lr_crop_slices</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_s_lr_crop_slices</span> <span class="o">=</span> <span class="p">[]</span>
+            <span class="n">s1_crop_slices</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_cropped_slices</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">s1_lr_slices</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">s1_lr_pad_slices</span><span class="p">,</span> <span class="mi">1</span>
+            <span class="p">)</span>
+            <span class="n">s2_crop_slices</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_cropped_slices</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">s2_lr_slices</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">s2_lr_pad_slices</span><span class="p">,</span> <span class="mi">1</span>
+            <span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_s_lr_crop_slices</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="p">(</span><span class="n">s1</span><span class="p">,</span> <span class="n">s2</span><span class="p">)</span> <span class="k">for</span> <span class="n">s1</span> <span class="ow">in</span> <span class="n">s1_crop_slices</span> <span class="k">for</span> <span class="n">s2</span> <span class="ow">in</span> <span class="n">s2_crop_slices</span>
+            <span class="p">]</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_lr_crop_slices</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">s_hr_crop_slices</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get high res cropped slices for cropping generator output</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        _s_hr_crop_slices : list</span>
+<span class="sd">            List of high res cropped slices. Each entry in this list has a</span>
+<span class="sd">            slice for each spatial dimension.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">hr_crop_start</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="n">hr_crop_stop</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">spatial_pad</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="n">hr_crop_start</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">spatial_pad</span>
+            <span class="n">hr_crop_stop</span> <span class="o">=</span> <span class="o">-</span><span class="n">hr_crop_start</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_hr_crop_slices</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_s_hr_crop_slices</span> <span class="o">=</span> <span class="p">[]</span>
+            <span class="n">s1_hr_crop_slices</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="nb">slice</span><span class="p">(</span><span class="n">hr_crop_start</span><span class="p">,</span> <span class="n">hr_crop_stop</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">s1_lr_slices</span><span class="p">))</span>
+            <span class="p">]</span>
+            <span class="n">s2_hr_crop_slices</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="nb">slice</span><span class="p">(</span><span class="n">hr_crop_start</span><span class="p">,</span> <span class="n">hr_crop_stop</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">s2_lr_slices</span><span class="p">))</span>
+            <span class="p">]</span>
+
+            <span class="bp">self</span><span class="o">.</span><span class="n">_s_hr_crop_slices</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="p">(</span><span class="n">s1</span><span class="p">,</span> <span class="n">s2</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">s1</span> <span class="ow">in</span> <span class="n">s1_hr_crop_slices</span>
+                <span class="k">for</span> <span class="n">s2</span> <span class="ow">in</span> <span class="n">s2_hr_crop_slices</span>
+            <span class="p">]</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_hr_crop_slices</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">hr_crop_slices</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get high res spatiotemporal cropped slices for cropping generator</span>
+<span class="sd">        output</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        _hr_crop_slices : list</span>
+<span class="sd">            List of high res spatiotemporal cropped slices. Each entry in this</span>
+<span class="sd">            list has a crop slice for each spatial dimension and temporal</span>
+<span class="sd">            dimension and then slice(None) for the feature dimension.</span>
+<span class="sd">            model.generate()[hr_crop_slice] gives the cropped generator output</span>
+<span class="sd">            corresponding to outpuUnion[np.ndarray, da.core.Array][hr_slice]</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_hr_crop_slices</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_hr_crop_slices</span> <span class="o">=</span> <span class="p">[]</span>
+            <span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_hr_crop_slices</span><span class="p">:</span>
+                <span class="n">node_slices</span> <span class="o">=</span> <span class="p">[</span>
+                    <span class="p">(</span><span class="n">s</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">s</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">t</span><span class="p">,</span> <span class="nb">slice</span><span class="p">(</span><span class="kc">None</span><span class="p">))</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">s_hr_crop_slices</span>
+                <span class="p">]</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_hr_crop_slices</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">node_slices</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_hr_crop_slices</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">s1_lr_pad_slices</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;List of low resolution spatial slices with padding for first</span>
+<span class="sd">        spatial dimension&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s1_lr_pad_slices</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_s1_lr_pad_slices</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_padded_slices</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">s1_lr_slices</span><span class="p">,</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">coarse_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
+                <span class="mi">1</span><span class="p">,</span>
+                <span class="n">padding</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">spatial_pad</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s1_lr_pad_slices</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">s2_lr_pad_slices</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;List of low resolution spatial slices with padding for second</span>
+<span class="sd">        spatial dimension&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s2_lr_pad_slices</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_s2_lr_pad_slices</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_padded_slices</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">s2_lr_slices</span><span class="p">,</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">coarse_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span>
+                <span class="mi">1</span><span class="p">,</span>
+                <span class="n">padding</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">spatial_pad</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s2_lr_pad_slices</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">s1_lr_slices</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;List of low resolution spatial slices for first spatial dimension</span>
+<span class="sd">        considering padding on all sides of the spatial raster.&quot;&quot;&quot;</span>
+        <span class="n">ind</span> <span class="o">=</span> <span class="nb">slice</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">coarse_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+        <span class="n">slices</span> <span class="o">=</span> <span class="n">get_chunk_slices</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">coarse_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">chunk_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">index_slice</span><span class="o">=</span><span class="n">ind</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="n">slices</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">s2_lr_slices</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;List of low resolution spatial slices for second spatial dimension</span>
+<span class="sd">        considering padding on all sides of the spatial raster.&quot;&quot;&quot;</span>
+        <span class="n">ind</span> <span class="o">=</span> <span class="nb">slice</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">coarse_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+        <span class="n">slices</span> <span class="o">=</span> <span class="n">get_chunk_slices</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">coarse_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">chunk_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">index_slice</span><span class="o">=</span><span class="n">ind</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="n">slices</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">t_lr_slices</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Low resolution temporal slices&quot;&quot;&quot;</span>
+        <span class="n">n_tsteps</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">dummy_time_index</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">time_slice</span><span class="p">])</span>
+        <span class="n">n_chunks</span> <span class="o">=</span> <span class="n">n_tsteps</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">chunk_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span>
+        <span class="n">n_chunks</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="n">n_chunks</span><span class="p">))</span>
+        <span class="n">ti_slices</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dummy_time_index</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">time_slice</span><span class="p">]</span>
+        <span class="n">ti_slices</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array_split</span><span class="p">(</span><span class="n">ti_slices</span><span class="p">,</span> <span class="n">n_chunks</span><span class="p">)</span>
+        <span class="n">ti_slices</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="nb">slice</span><span class="p">(</span><span class="n">c</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">c</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">time_slice</span><span class="o">.</span><span class="n">step</span><span class="p">)</span> <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="n">ti_slices</span>
+        <span class="p">]</span>
+        <span class="k">return</span> <span class="n">ti_slices</span>
+
+<div class="viewcode-block" id="ForwardPassSlicer.get_hr_slices">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.get_hr_slices">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">get_hr_slices</span><span class="p">(</span><span class="n">slices</span><span class="p">,</span> <span class="n">enhancement</span><span class="p">,</span> <span class="n">step</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get high resolution slices for temporal or spatial slices</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        slices : list</span>
+<span class="sd">            Low resolution slices to be enhanced</span>
+<span class="sd">        enhancement : int</span>
+<span class="sd">            Enhancement factor</span>
+<span class="sd">        step : int | None</span>
+<span class="sd">            Step size for slices</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        hr_slices : list</span>
+<span class="sd">            High resolution slices</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">hr_slices</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">if</span> <span class="n">step</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">step</span> <span class="o">*=</span> <span class="n">enhancement</span>
+        <span class="k">for</span> <span class="n">sli</span> <span class="ow">in</span> <span class="n">slices</span><span class="p">:</span>
+            <span class="n">start</span> <span class="o">=</span> <span class="n">sli</span><span class="o">.</span><span class="n">start</span> <span class="o">*</span> <span class="n">enhancement</span>
+            <span class="n">stop</span> <span class="o">=</span> <span class="n">sli</span><span class="o">.</span><span class="n">stop</span> <span class="o">*</span> <span class="n">enhancement</span>
+            <span class="n">hr_slices</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="nb">slice</span><span class="p">(</span><span class="n">start</span><span class="p">,</span> <span class="n">stop</span><span class="p">,</span> <span class="n">step</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">hr_slices</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">chunk_lookup</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a 3D array with shape</span>
+<span class="sd">        (n_spatial_1_chunks, n_spatial_2_chunks, n_time_chunks)</span>
+<span class="sd">        where each value is the chunk index.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_chunk_lookup</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">n_s1</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">s1_lr_slices</span><span class="p">)</span>
+            <span class="n">n_s2</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">s2_lr_slices</span><span class="p">)</span>
+            <span class="n">n_t</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_time_chunks</span>
+            <span class="n">lookup</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">n_chunks</span><span class="p">)</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="n">n_t</span><span class="p">,</span> <span class="n">n_s1</span><span class="p">,</span> <span class="n">n_s2</span><span class="p">))</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_chunk_lookup</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">lookup</span><span class="p">,</span> <span class="n">axes</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_chunk_lookup</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">spatial_chunk_lookup</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a 2D array with shape (n_spatial_1_chunks, n_spatial_2_chunks)</span>
+<span class="sd">        where each value is the spatial chunk index.&quot;&quot;&quot;</span>
+        <span class="n">n_s1</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">s1_lr_slices</span><span class="p">)</span>
+        <span class="n">n_s2</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">s2_lr_slices</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">n_spatial_chunks</span><span class="p">)</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="n">n_s1</span><span class="p">,</span> <span class="n">n_s2</span><span class="p">))</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">n_spatial_chunks</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the number of spatial chunks&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_crop_slices</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">n_time_chunks</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the number of temporal chunks&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">t_hr_crop_slices</span><span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">n_chunks</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get total number of spatiotemporal chunks&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_spatial_chunks</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_time_chunks</span>
+
+<div class="viewcode-block" id="ForwardPassSlicer.get_padded_slices">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.get_padded_slices">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">get_padded_slices</span><span class="p">(</span><span class="n">slices</span><span class="p">,</span> <span class="n">shape</span><span class="p">,</span> <span class="n">enhancement</span><span class="p">,</span> <span class="n">padding</span><span class="p">,</span> <span class="n">step</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get padded slices with the specified padding size, max shape,</span>
+<span class="sd">        enhancement, and step size</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        slices : list</span>
+<span class="sd">            List of low res unpadded slice</span>
+<span class="sd">        shape : int</span>
+<span class="sd">            max possible index of a padded slice. e.g. if the slices are</span>
+<span class="sd">            indexing a dimension with size 10 then a padded slice cannot have</span>
+<span class="sd">            an index greater than 10.</span>
+<span class="sd">        enhancement : int</span>
+<span class="sd">            Enhancement factor. e.g. If these slices are indexing a spatial</span>
+<span class="sd">            dimension which will be enhanced by 2x then enhancement=2.</span>
+<span class="sd">        padding : int</span>
+<span class="sd">            Padding factor. e.g. If these slices are indexing a spatial</span>
+<span class="sd">            dimension and the spatial_pad is 10 this is 10. It will be</span>
+<span class="sd">            multiplied by the enhancement factor if the slices are to be used</span>
+<span class="sd">            to index an enhanced dimension.</span>
+<span class="sd">        step : int | None</span>
+<span class="sd">            Step size for slices. e.g. If these slices are indexing a temporal</span>
+<span class="sd">            dimension and time_slice.step = 3 then step=3.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        list</span>
+<span class="sd">            Padded slices for temporal or spatial dimensions.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">step</span> <span class="o">=</span> <span class="n">step</span> <span class="ow">or</span> <span class="mi">1</span>
+        <span class="n">pad</span> <span class="o">=</span> <span class="n">step</span> <span class="o">*</span> <span class="n">padding</span> <span class="o">*</span> <span class="n">enhancement</span>
+        <span class="n">pad_slices</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">for</span> <span class="n">_</span><span class="p">,</span> <span class="n">s</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">slices</span><span class="p">):</span>
+            <span class="n">start</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="n">s</span><span class="o">.</span><span class="n">start</span> <span class="o">*</span> <span class="n">enhancement</span> <span class="o">-</span> <span class="n">pad</span><span class="p">])</span>
+            <span class="n">end</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">([</span><span class="n">enhancement</span> <span class="o">*</span> <span class="n">shape</span><span class="p">,</span> <span class="n">s</span><span class="o">.</span><span class="n">stop</span> <span class="o">*</span> <span class="n">enhancement</span> <span class="o">+</span> <span class="n">pad</span><span class="p">])</span>
+            <span class="n">pad_slices</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="nb">slice</span><span class="p">(</span><span class="n">start</span><span class="p">,</span> <span class="n">end</span><span class="p">,</span> <span class="n">step</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">pad_slices</span></div>
+
+
+<div class="viewcode-block" id="ForwardPassSlicer.get_cropped_slices">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.get_cropped_slices">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">get_cropped_slices</span><span class="p">(</span><span class="n">unpadded_slices</span><span class="p">,</span> <span class="n">padded_slices</span><span class="p">,</span> <span class="n">enhancement</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get cropped slices to cut off padded output</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        unpadded_slices : list</span>
+<span class="sd">            List of unpadded slices</span>
+<span class="sd">        padded_slices : list</span>
+<span class="sd">            List of padded slices</span>
+<span class="sd">        enhancement : int</span>
+<span class="sd">            Enhancement factor for the data to be cropped.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        list</span>
+<span class="sd">            Cropped slices for temporal or spatial dimensions.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">cropped_slices</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">for</span> <span class="n">ps</span><span class="p">,</span> <span class="n">us</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">padded_slices</span><span class="p">,</span> <span class="n">unpadded_slices</span><span class="p">):</span>
+            <span class="n">start</span> <span class="o">=</span> <span class="n">us</span><span class="o">.</span><span class="n">start</span>
+            <span class="n">stop</span> <span class="o">=</span> <span class="n">us</span><span class="o">.</span><span class="n">stop</span>
+            <span class="n">step</span> <span class="o">=</span> <span class="n">us</span><span class="o">.</span><span class="n">step</span> <span class="ow">or</span> <span class="mi">1</span>
+            <span class="k">if</span> <span class="n">start</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+                <span class="n">start</span> <span class="o">=</span> <span class="n">enhancement</span> <span class="o">*</span> <span class="p">(</span><span class="n">us</span><span class="o">.</span><span class="n">start</span> <span class="o">-</span> <span class="n">ps</span><span class="o">.</span><span class="n">start</span><span class="p">)</span> <span class="o">//</span> <span class="n">step</span>
+            <span class="k">if</span> <span class="n">stop</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+                <span class="n">stop</span> <span class="o">=</span> <span class="n">enhancement</span> <span class="o">*</span> <span class="p">(</span><span class="n">us</span><span class="o">.</span><span class="n">stop</span> <span class="o">-</span> <span class="n">ps</span><span class="o">.</span><span class="n">stop</span><span class="p">)</span> <span class="o">//</span> <span class="n">step</span>
+            <span class="k">if</span> <span class="n">start</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">start</span> <span class="o">&lt;=</span> <span class="mi">0</span><span class="p">:</span>
+                <span class="n">start</span> <span class="o">=</span> <span class="kc">None</span>
+            <span class="k">if</span> <span class="n">stop</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">stop</span> <span class="o">&gt;=</span> <span class="mi">0</span><span class="p">:</span>
+                <span class="n">stop</span> <span class="o">=</span> <span class="kc">None</span>
+            <span class="n">cropped_slices</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="nb">slice</span><span class="p">(</span><span class="n">start</span><span class="p">,</span> <span class="n">stop</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">cropped_slices</span></div>
+</div>
+
+</pre></div>
+
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+  <h1>Source code for sup3r.pipeline.strategy</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;:class:`ForwardPassStrategy` class. This sets up chunks and needed generator</span>
+<span class="sd">inputs to distribute forward passes.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">copy</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">pathlib</span>
+<span class="kn">import</span> <span class="nn">pprint</span>
+<span class="kn">import</span> <span class="nn">warnings</span>
+<span class="kn">from</span> <span class="nn">dataclasses</span> <span class="kn">import</span> <span class="n">dataclass</span>
+<span class="kn">from</span> <span class="nn">functools</span> <span class="kn">import</span> <span class="n">cached_property</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Union</span>
+<span class="kn">from</span> <span class="nn">warnings</span> <span class="kn">import</span> <span class="n">warn</span>
+
+<span class="kn">import</span> <span class="nn">dask.array</span> <span class="k">as</span> <span class="nn">da</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.bias.utilities</span> <span class="kn">import</span> <span class="n">bias_correct_features</span>
+<span class="kn">from</span> <span class="nn">sup3r.pipeline.slicer</span> <span class="kn">import</span> <span class="n">ForwardPassSlicer</span>
+<span class="kn">from</span> <span class="nn">sup3r.pipeline.utilities</span> <span class="kn">import</span> <span class="n">get_model</span>
+<span class="kn">from</span> <span class="nn">sup3r.postprocessing</span> <span class="kn">import</span> <span class="n">OutputHandler</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing</span> <span class="kn">import</span> <span class="n">ExoData</span><span class="p">,</span> <span class="n">ExoDataHandler</span><span class="p">,</span> <span class="n">Rasterizer</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.names</span> <span class="kn">import</span> <span class="n">Dimension</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">_parse_time_slice</span><span class="p">,</span>
+    <span class="n">expand_paths</span><span class="p">,</span>
+    <span class="n">get_class_kwargs</span><span class="p">,</span>
+    <span class="n">get_date_range_kwargs</span><span class="p">,</span>
+    <span class="n">get_input_handler_class</span><span class="p">,</span>
+    <span class="n">log_args</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.utilities</span> <span class="kn">import</span> <span class="n">Timer</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="ForwardPassChunk">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.strategy.ForwardPassChunk.html#sup3r.pipeline.strategy.ForwardPassChunk">[docs]</a>
+<span class="nd">@dataclass</span>
+<span class="k">class</span> <span class="nc">ForwardPassChunk</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Structure storing chunk data and attributes for a specific chunk going</span>
+<span class="sd">    through the generator.&quot;&quot;&quot;</span>
+
+    <span class="n">input_data</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">da</span><span class="o">.</span><span class="n">core</span><span class="o">.</span><span class="n">Array</span><span class="p">]</span>
+    <span class="n">exo_data</span><span class="p">:</span> <span class="n">Dict</span>
+    <span class="n">hr_crop_slice</span><span class="p">:</span> <span class="nb">slice</span>
+    <span class="n">lr_pad_slice</span><span class="p">:</span> <span class="nb">slice</span>
+    <span class="n">hr_lat_lon</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">da</span><span class="o">.</span><span class="n">core</span><span class="o">.</span><span class="n">Array</span><span class="p">]</span>
+    <span class="n">hr_times</span><span class="p">:</span> <span class="n">pd</span><span class="o">.</span><span class="n">DatetimeIndex</span>
+    <span class="n">gids</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">da</span><span class="o">.</span><span class="n">core</span><span class="o">.</span><span class="n">Array</span><span class="p">]</span>
+    <span class="n">out_file</span><span class="p">:</span> <span class="nb">str</span>
+    <span class="n">pad_width</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">tuple</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">]</span>
+    <span class="n">index</span><span class="p">:</span> <span class="nb">int</span>
+
+    <span class="k">def</span> <span class="nf">__post_init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">shape</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_data</span><span class="o">.</span><span class="n">shape</span></div>
+
+
+
+<div class="viewcode-block" id="ForwardPassStrategy">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy">[docs]</a>
+<span class="nd">@dataclass</span>
+<span class="k">class</span> <span class="nc">ForwardPassStrategy</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Class to prepare data for forward passes through generator.</span>
+
+<span class="sd">    A full file list of contiguous times is provided. The corresponding data is</span>
+<span class="sd">    split into spatiotemporal chunks which can overlap in time and space. These</span>
+<span class="sd">    chunks are distributed across nodes according to the max nodes input or</span>
+<span class="sd">    number of temporal chunks. This strategy stores information on these</span>
+<span class="sd">    chunks, how they overlap, how they are distributed to nodes, and how to</span>
+<span class="sd">    crop generator output to stich the chunks back together.</span>
+
+<span class="sd">    Use the following inputs to initialize data handlers on different nodes and</span>
+<span class="sd">    to define the size of the data chunks that will be passed through the</span>
+<span class="sd">    generator.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    file_paths : list | str</span>
+<span class="sd">        A list of low-resolution source files to extract raster data from.</span>
+<span class="sd">        Each file must have the same number of timesteps. Can also pass a</span>
+<span class="sd">        string with a unix-style file path which will be passed through</span>
+<span class="sd">        glob.glob.</span>
+
+<span class="sd">        Note: These files can also include a 2D (lat, lon) &quot;mask&quot; variable</span>
+<span class="sd">        which is True for grid points which can be skipped in the forward pass</span>
+<span class="sd">        and False otherwise. This will be used to skip running the forward pass</span>
+<span class="sd">        for chunks which only include masked points. e.g. chunks covering only</span>
+<span class="sd">        ocean. Chunks with even a single unmasked point will still be sent</span>
+<span class="sd">        through the forward pass.</span>
+<span class="sd">    model_kwargs : str | list</span>
+<span class="sd">        Keyword arguments to send to ``model_class.load(**model_kwargs)`` to</span>
+<span class="sd">        initialize the GAN. Typically this is just the string path to the</span>
+<span class="sd">        model directory, but can be multiple models or arguments for more</span>
+<span class="sd">        complex models.</span>
+<span class="sd">    fwp_chunk_shape : tuple</span>
+<span class="sd">        Max shape (spatial_1, spatial_2, temporal) of an unpadded coarse chunk</span>
+<span class="sd">        to use for a forward pass. The number of nodes that the</span>
+<span class="sd">        :class:`.ForwardPassStrategy` is set to distribute to is calculated by</span>
+<span class="sd">        dividing up the total time index from all file_paths by the temporal</span>
+<span class="sd">        part of this chunk shape. Each node will then be parallelized across</span>
+<span class="sd">        parallel processes by the spatial chunk shape.  If temporal_pad /</span>
+<span class="sd">        spatial_pad are non zero the chunk sent to the generator can be bigger</span>
+<span class="sd">        than this shape. If running in serial set this equal to the shape of</span>
+<span class="sd">        the full spatiotemporal data volume for best performance.</span>
+<span class="sd">    spatial_pad : int</span>
+<span class="sd">        Size of spatial overlap between coarse chunks passed to forward passes</span>
+<span class="sd">        for subsequent spatial stitching. This overlap will pad both sides of</span>
+<span class="sd">        the fwp_chunk_shape.</span>
+<span class="sd">    temporal_pad : int</span>
+<span class="sd">        Size of temporal overlap between coarse chunks passed to forward passes</span>
+<span class="sd">        for subsequent temporal stitching. This overlap will pad both sides of</span>
+<span class="sd">        the fwp_chunk_shape.</span>
+<span class="sd">    model_class : str</span>
+<span class="sd">        Name of the sup3r model class for the GAN model to load. The default is</span>
+<span class="sd">        the basic spatial / spatiotemporal ``Sup3rGan`` model. This will be</span>
+<span class="sd">        loaded from ``sup3r.models``</span>
+<span class="sd">    out_pattern : str</span>
+<span class="sd">        Output file pattern. Must include {file_id} format key.  Each output</span>
+<span class="sd">        file will have a unique file_id filled in and the ext determines the</span>
+<span class="sd">        output type. If pattern is None then data will be returned in an array</span>
+<span class="sd">        and not saved.</span>
+<span class="sd">    input_handler_name : str | None</span>
+<span class="sd">        Class to use for input data. Provide a string name to match an</span>
+<span class="sd">        rasterizer or handler class in ``sup3r.preprocessing``</span>
+<span class="sd">    input_handler_kwargs : dict | None</span>
+<span class="sd">        Any kwargs for initializing the ``input_handler_name`` class.</span>
+<span class="sd">    exo_handler_kwargs : dict | None</span>
+<span class="sd">        Dictionary of args to pass to</span>
+<span class="sd">        :class:`~sup3r.preprocessing.data_handlers.ExoDataHandler` for</span>
+<span class="sd">        extracting exogenous features for foward passes. This should be</span>
+<span class="sd">        a nested dictionary with keys for each exogenous feature. The</span>
+<span class="sd">        dictionaries corresponding to the feature names should include the path</span>
+<span class="sd">        to exogenous data source and the files used for input to the forward</span>
+<span class="sd">        passes, at minimum. Can also provide a dictionary of</span>
+<span class="sd">        ``input_handler_kwargs`` used for the handler which opens the</span>
+<span class="sd">        exogenous data. e.g.::</span>
+<span class="sd">            {&#39;topography&#39;: {</span>
+<span class="sd">                &#39;source_file&#39;: ...,</span>
+<span class="sd">                &#39;input_files&#39;: ...,</span>
+<span class="sd">                &#39;input_handler_kwargs&#39;: {&#39;target&#39;: ..., &#39;shape&#39;: ...}}}</span>
+<span class="sd">    bias_correct_method : str | None</span>
+<span class="sd">        Optional bias correction function name that can be imported from the</span>
+<span class="sd">        :mod:`sup3r.bias.bias_transforms` module. This will transform the</span>
+<span class="sd">        source data according to some predefined bias correction transformation</span>
+<span class="sd">        along with the bias_correct_kwargs. As the first argument, this method</span>
+<span class="sd">        must receive a generic numpy array of data to be bias corrected</span>
+<span class="sd">    bias_correct_kwargs : dict | None</span>
+<span class="sd">        Optional namespace of kwargs to provide to bias_correct_method.  If</span>
+<span class="sd">        this is provided, it must be a dictionary where each key is a feature</span>
+<span class="sd">        name and each value is a dictionary of kwargs to correct that feature.</span>
+<span class="sd">        You can bias correct only certain input features by only including</span>
+<span class="sd">        those feature names in this dict.</span>
+<span class="sd">    allowed_const : list | bool</span>
+<span class="sd">        Tensorflow has a tensor memory limit of 2GB (result of protobuf</span>
+<span class="sd">        limitation) and when exceeded can return a tensor with a constant</span>
+<span class="sd">        output. sup3r will raise a ``MemoryError`` in response. If your model</span>
+<span class="sd">        is allowed to output a constant output, set this to True to allow any</span>
+<span class="sd">        constant output or a list of allowed possible constant outputs. For</span>
+<span class="sd">        example, a precipitation model should be allowed to output all zeros so</span>
+<span class="sd">        set this to ``[0]``. For details on this limit:</span>
+<span class="sd">        https://github.com/tensorflow/tensorflow/issues/51870</span>
+<span class="sd">    incremental : bool</span>
+<span class="sd">        Allow the forward pass iteration to skip spatiotemporal chunks that</span>
+<span class="sd">        already have an output file (default = True) or iterate through all</span>
+<span class="sd">        chunks and overwrite any pre-existing outputs (False).</span>
+<span class="sd">    output_workers : int | None</span>
+<span class="sd">        Max number of workers to use for writing forward pass output.</span>
+<span class="sd">    invert_uv : bool | None</span>
+<span class="sd">        Whether to convert u and v wind components to windspeed and direction</span>
+<span class="sd">        for writing to output. This defaults to True for H5 output and False</span>
+<span class="sd">        for NETCDF output.</span>
+<span class="sd">    pass_workers : int | None</span>
+<span class="sd">        Max number of workers to use for performing forward passes on a single</span>
+<span class="sd">        node. If 1 then all forward passes on chunks distributed to a single</span>
+<span class="sd">        node will be run serially. pass_workers=2 is the minimum number of</span>
+<span class="sd">        workers required to run the ForwardPass initialization and</span>
+<span class="sd">        :meth:`~.forward_pass.ForwardPass.run_chunk()` methods concurrently.</span>
+<span class="sd">    max_nodes : int | None</span>
+<span class="sd">        Maximum number of nodes to distribute spatiotemporal chunks across. If</span>
+<span class="sd">        None then a node will be used for each temporal chunk.</span>
+<span class="sd">    head_node : bool</span>
+<span class="sd">        Whether initialization is taking place on the head node of a multi node</span>
+<span class="sd">        job launch. When this is true :class:`.ForwardPassStrategy` is only</span>
+<span class="sd">        partially initialized to provide the head node enough information for</span>
+<span class="sd">        how to distribute jobs across nodes. Preflight tasks like bias</span>
+<span class="sd">        correction will be skipped because they will be performed on the nodes</span>
+<span class="sd">        jobs are distributed to by the head node.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">file_paths</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">list</span><span class="p">,</span> <span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">]</span>
+    <span class="n">model_kwargs</span><span class="p">:</span> <span class="nb">dict</span>
+    <span class="n">fwp_chunk_shape</span><span class="p">:</span> <span class="nb">tuple</span> <span class="o">=</span> <span class="p">(</span><span class="kc">None</span><span class="p">,</span> <span class="kc">None</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+    <span class="n">spatial_pad</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span>
+    <span class="n">temporal_pad</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span>
+    <span class="n">model_class</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;Sup3rGan&#39;</span>
+    <span class="n">out_pattern</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">input_handler_name</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">input_handler_kwargs</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">exo_handler_kwargs</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">bias_correct_method</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">bias_correct_kwargs</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">allowed_const</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">list</span><span class="p">,</span> <span class="nb">bool</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">incremental</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span>
+    <span class="n">output_workers</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span>
+    <span class="n">invert_uv</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">pass_workers</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span>
+    <span class="n">max_nodes</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span>
+    <span class="n">head_node</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span>
+
+    <span class="nd">@log_args</span>
+    <span class="k">def</span> <span class="nf">__post_init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">file_paths</span> <span class="o">=</span> <span class="n">expand_paths</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">file_paths</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">bias_correct_kwargs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_correct_kwargs</span> <span class="ow">or</span> <span class="p">{}</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">timer</span> <span class="o">=</span> <span class="n">Timer</span><span class="p">()</span>
+
+        <span class="n">model</span> <span class="o">=</span> <span class="n">get_model</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">model_class</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">model_kwargs</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">s_enhancements</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">s_enhancements</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">t_enhancements</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">t_enhancements</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">,</span> <span class="n">model</span><span class="o">.</span><span class="n">t_enhance</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">input_features</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">lr_features</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">output_features</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">hr_out_features</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">exo_features</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_init_features</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">timer</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">init_input_handler</span><span class="p">,</span> <span class="n">log</span><span class="o">=</span><span class="kc">True</span><span class="p">)()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">time_slice</span> <span class="o">=</span> <span class="n">_parse_time_slice</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">input_handler_kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;time_slice&#39;</span><span class="p">,</span> <span class="nb">slice</span><span class="p">(</span><span class="kc">None</span><span class="p">))</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">fwp_chunk_shape</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_fwp_chunk_shape</span><span class="p">()</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">fwp_slicer</span> <span class="o">=</span> <span class="n">ForwardPassSlicer</span><span class="p">(</span>
+            <span class="n">coarse_shape</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">grid_shape</span><span class="p">,</span>
+            <span class="n">time_steps</span><span class="o">=</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">time_index</span><span class="p">),</span>
+            <span class="n">time_slice</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">time_slice</span><span class="p">,</span>
+            <span class="n">chunk_shape</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">fwp_chunk_shape</span><span class="p">,</span>
+            <span class="n">s_enhance</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">,</span>
+            <span class="n">t_enhance</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span><span class="p">,</span>
+            <span class="n">spatial_pad</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">spatial_pad</span><span class="p">,</span>
+            <span class="n">temporal_pad</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">temporal_pad</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">n_chunks</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">fwp_slicer</span><span class="o">.</span><span class="n">n_chunks</span>
+
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;The same exogenous data is used by all nodes, so it will be &#39;</span>
+            <span class="s1">&#39;cached on the head_node. This can take a long time and might be &#39;</span>
+            <span class="s1">&#39;worth doing as an independent preprocessing step instead.&#39;</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">head_node</span> <span class="ow">and</span> <span class="ow">not</span> <span class="nb">all</span><span class="p">(</span>
+            <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">fp</span><span class="p">)</span> <span class="k">for</span> <span class="n">fp</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_exo_cache_files</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>
+        <span class="p">):</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">_</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">timer</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">load_exo_data</span><span class="p">,</span> <span class="n">log</span><span class="o">=</span><span class="kc">True</span><span class="p">)(</span><span class="n">model</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">head_node</span><span class="p">:</span>
+            <span class="n">hr_shape</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_lat_lon</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">gids</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="n">hr_shape</span><span class="p">))</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">hr_shape</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">exo_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">timer</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">load_exo_data</span><span class="p">,</span> <span class="n">log</span><span class="o">=</span><span class="kc">True</span><span class="p">)(</span><span class="n">model</span><span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">preflight</span><span class="p">()</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">meta</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Meta data dictionary for the strategy. Used to add info to forward</span>
+<span class="sd">        pass output meta.&quot;&quot;&quot;</span>
+        <span class="n">meta_data</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="s1">&#39;fwp_chunk_shape&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">fwp_chunk_shape</span><span class="p">,</span>
+            <span class="s1">&#39;spatial_pad&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">spatial_pad</span><span class="p">,</span>
+            <span class="s1">&#39;temporal_pad&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">temporal_pad</span><span class="p">,</span>
+            <span class="s1">&#39;model_kwargs&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">model_kwargs</span><span class="p">,</span>
+            <span class="s1">&#39;model_class&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">model_class</span><span class="p">,</span>
+            <span class="s1">&#39;spatial_enhance&#39;</span><span class="p">:</span> <span class="nb">int</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">),</span>
+            <span class="s1">&#39;temporal_enhance&#39;</span><span class="p">:</span> <span class="nb">int</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span><span class="p">),</span>
+            <span class="s1">&#39;input_files&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">file_paths</span><span class="p">,</span>
+            <span class="s1">&#39;input_features&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">,</span>
+            <span class="s1">&#39;output_features&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">output_features</span><span class="p">,</span>
+            <span class="s1">&#39;input_shape&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">grid_shape</span><span class="p">,</span>
+            <span class="s1">&#39;input_time_range&#39;</span><span class="p">:</span> <span class="n">get_date_range_kwargs</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">time_index</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">time_slice</span><span class="p">]</span>
+            <span class="p">),</span>
+        <span class="p">}</span>
+        <span class="k">return</span> <span class="n">meta_data</span>
+
+<div class="viewcode-block" id="ForwardPassStrategy.init_input_handler">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.init_input_handler">[docs]</a>
+    <span class="k">def</span> <span class="nf">init_input_handler</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get input handler instance for given input kwargs. If self.head_node</span>
+<span class="sd">        is False we get all requested features. Otherwise this is part of</span>
+<span class="sd">        initialization on a head node and just used to get the shape of the</span>
+<span class="sd">        input domain, so we don&#39;t need to get any features yet.&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">input_handler_kwargs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_handler_kwargs</span> <span class="ow">or</span> <span class="p">{}</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">input_handler_kwargs</span><span class="p">[</span><span class="s1">&#39;file_paths&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">file_paths</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">input_handler_kwargs</span><span class="p">[</span><span class="s1">&#39;features&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">features</span>
+
+        <span class="n">InputHandler</span> <span class="o">=</span> <span class="n">get_input_handler_class</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">input_handler_name</span><span class="p">)</span>
+        <span class="n">input_handler_kwargs</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">input_handler_kwargs</span><span class="p">)</span>
+
+        <span class="n">input_handler_kwargs</span><span class="p">[</span><span class="s1">&#39;features&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">features</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">head_node</span><span class="p">:</span>
+            <span class="n">input_handler_kwargs</span><span class="p">[</span><span class="s1">&#39;features&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">[]</span>
+            <span class="n">input_handler_kwargs</span><span class="p">[</span><span class="s1">&#39;chunks&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;auto&#39;</span>
+
+        <span class="n">input_handler_kwargs</span><span class="p">[</span><span class="s1">&#39;time_slice&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="nb">slice</span><span class="p">(</span><span class="kc">None</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">InputHandler</span><span class="p">(</span><span class="o">**</span><span class="n">input_handler_kwargs</span><span class="p">)</span></div>
+
+
+    <span class="k">def</span> <span class="nf">_init_features</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize feature attributes.&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">exo_handler_kwargs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">exo_handler_kwargs</span> <span class="ow">or</span> <span class="p">{}</span>
+        <span class="n">exo_features</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">exo_handler_kwargs</span><span class="p">)</span>
+        <span class="n">features</span> <span class="o">=</span> <span class="p">[</span><span class="n">f</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">lr_features</span> <span class="k">if</span> <span class="n">f</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">exo_features</span><span class="p">]</span>
+        <span class="k">return</span> <span class="n">features</span><span class="p">,</span> <span class="n">exo_features</span>
+
+    <span class="nd">@cached_property</span>
+    <span class="k">def</span> <span class="nf">node_chunks</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get array of lists such that node_chunks[i] is a list of</span>
+<span class="sd">        indices for the chunks that will be sent through the generator on the</span>
+<span class="sd">        ith node.&quot;&quot;&quot;</span>
+        <span class="n">node_chunks</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">max_nodes</span> <span class="ow">or</span> <span class="n">np</span><span class="o">.</span><span class="n">inf</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">unmasked_chunks</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array_split</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">unmasked_chunks</span><span class="p">,</span> <span class="n">node_chunks</span><span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">unmasked_chunks</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;List of chunk indices that are not masked from the input spatial</span>
+<span class="sd">        region. These chunks are those that will go through the forward pass.</span>
+<span class="sd">        Masked chunks will be skipped.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">[</span>
+            <span class="n">idx</span>
+            <span class="k">for</span> <span class="n">idx</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">n_chunks</span><span class="p">)</span>
+            <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">chunk_masked</span><span class="p">(</span><span class="n">idx</span><span class="p">,</span> <span class="n">log</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+        <span class="p">]</span>
+
+    <span class="k">def</span> <span class="nf">_get_fwp_chunk_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get fwp_chunk_shape with default shape equal to the input handler</span>
+<span class="sd">        shape&quot;&quot;&quot;</span>
+        <span class="n">grid_shape</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">grid_shape</span>
+        <span class="n">tsteps</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">time_index</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">time_slice</span><span class="p">])</span>
+        <span class="n">shape_iter</span> <span class="o">=</span> <span class="nb">zip</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">fwp_chunk_shape</span><span class="p">,</span> <span class="p">(</span><span class="o">*</span><span class="n">grid_shape</span><span class="p">,</span> <span class="n">tsteps</span><span class="p">))</span>
+        <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">fs</span> <span class="ow">or</span> <span class="n">ffs</span> <span class="k">for</span> <span class="n">fs</span><span class="p">,</span> <span class="n">ffs</span> <span class="ow">in</span> <span class="n">shape_iter</span><span class="p">)</span>
+
+<div class="viewcode-block" id="ForwardPassStrategy.preflight">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.preflight">[docs]</a>
+    <span class="k">def</span> <span class="nf">preflight</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Prelight logging and sanity checks&quot;&quot;&quot;</span>
+
+        <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">fwp_slicer</span><span class="o">.</span><span class="n">get_time_slices</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">ti_slices</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">ti_pad_slices</span> <span class="o">=</span> <span class="n">out</span>
+
+        <span class="n">fwp_tsteps</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">fwp_chunk_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">+</span> <span class="mi">2</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">temporal_pad</span>
+        <span class="n">tsteps</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">time_index</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">time_slice</span><span class="p">])</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Using a padded chunk size (</span><span class="si">{</span><span class="n">fwp_tsteps</span><span class="si">}</span><span class="s1">) larger than the full &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;temporal domain (</span><span class="si">{</span><span class="n">tsteps</span><span class="si">}</span><span class="s1">). Should just run without temporal &#39;</span>
+            <span class="s1">&#39;chunking. &#39;</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="n">fwp_tsteps</span> <span class="o">&gt;</span> <span class="n">tsteps</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">fwp_slicer</span><span class="o">.</span><span class="n">get_spatial_slices</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">lr_slices</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_pad_slices</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_slices</span> <span class="o">=</span> <span class="n">out</span>
+
+        <span class="n">non_masked</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">fwp_slicer</span><span class="o">.</span><span class="n">n_spatial_chunks</span> <span class="o">-</span> <span class="nb">sum</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">fwp_mask</span><span class="p">)</span>
+        <span class="n">non_masked</span> <span class="o">*=</span> <span class="nb">int</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">fwp_slicer</span><span class="o">.</span><span class="n">n_time_chunks</span><span class="p">)</span>
+        <span class="n">log_dict</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="s1">&#39;n_nodes&#39;</span><span class="p">:</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">node_chunks</span><span class="p">),</span>
+            <span class="s1">&#39;n_spatial_chunks&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">fwp_slicer</span><span class="o">.</span><span class="n">n_spatial_chunks</span><span class="p">,</span>
+            <span class="s1">&#39;n_time_chunks&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">fwp_slicer</span><span class="o">.</span><span class="n">n_time_chunks</span><span class="p">,</span>
+            <span class="s1">&#39;n_total_chunks&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">fwp_slicer</span><span class="o">.</span><span class="n">n_chunks</span><span class="p">,</span>
+            <span class="s1">&#39;non_masked_chunks&#39;</span><span class="p">:</span> <span class="n">non_masked</span><span class="p">,</span>
+        <span class="p">}</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Chunk strategy description:</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">pprint</span><span class="o">.</span><span class="n">pformat</span><span class="p">(</span><span class="n">log_dict</span><span class="p">,</span><span class="w"> </span><span class="n">indent</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="ForwardPassStrategy.get_chunk_indices">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.get_chunk_indices">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_chunk_indices</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">chunk_index</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get (spatial, temporal) indices for the given chunk index&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span>
+            <span class="n">chunk_index</span> <span class="o">%</span> <span class="bp">self</span><span class="o">.</span><span class="n">fwp_slicer</span><span class="o">.</span><span class="n">n_spatial_chunks</span><span class="p">,</span>
+            <span class="n">chunk_index</span> <span class="o">//</span> <span class="bp">self</span><span class="o">.</span><span class="n">fwp_slicer</span><span class="o">.</span><span class="n">n_spatial_chunks</span><span class="p">,</span>
+        <span class="p">)</span></div>
+
+
+    <span class="nd">@cached_property</span>
+    <span class="k">def</span> <span class="nf">hr_lat_lon</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get high resolution lat lons&quot;&quot;&quot;</span>
+        <span class="n">lr_lat_lon</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">lat_lon</span>
+        <span class="n">shape</span> <span class="o">=</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">d</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span> <span class="k">for</span> <span class="n">d</span> <span class="ow">in</span> <span class="n">lr_lat_lon</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Getting high-resolution grid for full output domain: </span><span class="si">{</span><span class="n">shape</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="n">OutputHandler</span><span class="o">.</span><span class="n">get_lat_lon</span><span class="p">(</span><span class="n">lr_lat_lon</span><span class="p">,</span> <span class="n">shape</span><span class="p">)</span>
+
+    <span class="nd">@cached_property</span>
+    <span class="k">def</span> <span class="nf">out_files</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get list of output file names for each file chunk forward pass.&quot;&quot;&quot;</span>
+        <span class="n">file_ids</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="nb">str</span><span class="p">(</span><span class="n">i</span><span class="p">)</span><span class="o">.</span><span class="n">zfill</span><span class="p">(</span><span class="mi">6</span><span class="p">)</span><span class="si">}</span><span class="s1">_</span><span class="si">{</span><span class="nb">str</span><span class="p">(</span><span class="n">j</span><span class="p">)</span><span class="o">.</span><span class="n">zfill</span><span class="p">(</span><span class="mi">6</span><span class="p">)</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">fwp_slicer</span><span class="o">.</span><span class="n">n_time_chunks</span><span class="p">)</span>
+            <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">fwp_slicer</span><span class="o">.</span><span class="n">n_spatial_chunks</span><span class="p">)</span>
+        <span class="p">]</span>
+        <span class="n">out_file_list</span> <span class="o">=</span> <span class="p">[</span><span class="kc">None</span><span class="p">]</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="n">file_ids</span><span class="p">)</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">out_pattern</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;out_pattern must include a </span><span class="si">{file_id}</span><span class="s1"> format key&#39;</span>
+            <span class="k">assert</span> <span class="s1">&#39;</span><span class="si">{file_id}</span><span class="s1">&#39;</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">out_pattern</span><span class="p">,</span> <span class="n">msg</span>
+            <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">out_pattern</span><span class="p">),</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+            <span class="n">out_file_list</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">out_pattern</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">file_id</span><span class="o">=</span><span class="n">file_id</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">file_id</span> <span class="ow">in</span> <span class="n">file_ids</span>
+            <span class="p">]</span>
+        <span class="k">return</span> <span class="n">out_file_list</span>
+
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">_get_pad_width</span><span class="p">(</span><span class="n">window</span><span class="p">,</span> <span class="n">max_steps</span><span class="p">,</span> <span class="n">max_pad</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        window : slice</span>
+<span class="sd">            Slice with start and stop of window to pad.</span>
+<span class="sd">        max_steps : int</span>
+<span class="sd">            Maximum number of steps available. Padding cannot extend past this</span>
+<span class="sd">        max_pad : int</span>
+<span class="sd">            Maximum amount of padding to apply.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tuple</span>
+<span class="sd">            Tuple of pad width for the given window.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">start</span> <span class="o">=</span> <span class="n">window</span><span class="o">.</span><span class="n">start</span> <span class="ow">or</span> <span class="mi">0</span>
+        <span class="n">stop</span> <span class="o">=</span> <span class="n">window</span><span class="o">.</span><span class="n">stop</span> <span class="ow">or</span> <span class="n">max_steps</span>
+        <span class="n">start</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">maximum</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="p">(</span><span class="n">max_pad</span> <span class="o">-</span> <span class="n">start</span><span class="p">)))</span>
+        <span class="n">stop</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">maximum</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">max_pad</span> <span class="o">+</span> <span class="n">stop</span> <span class="o">-</span> <span class="n">max_steps</span><span class="p">))</span>
+        <span class="k">return</span> <span class="p">(</span><span class="n">start</span><span class="p">,</span> <span class="n">stop</span><span class="p">)</span>
+
+<div class="viewcode-block" id="ForwardPassStrategy.get_pad_width">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.get_pad_width">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_pad_width</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">chunk_index</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get padding for the current spatiotemporal chunk</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        padding : tuple</span>
+<span class="sd">            Tuple of tuples with padding width for spatial and temporal</span>
+<span class="sd">            dimensions. Each tuple includes the start and end of padding for</span>
+<span class="sd">            that dimension. Ordering is spatial_1, spatial_2, temporal.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">s_chunk_idx</span><span class="p">,</span> <span class="n">t_chunk_idx</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_chunk_indices</span><span class="p">(</span><span class="n">chunk_index</span><span class="p">)</span>
+        <span class="n">ti_slice</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ti_slices</span><span class="p">[</span><span class="n">t_chunk_idx</span><span class="p">]</span>
+        <span class="n">lr_slice</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_slices</span><span class="p">[</span><span class="n">s_chunk_idx</span><span class="p">]</span>
+
+        <span class="k">return</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_get_pad_width</span><span class="p">(</span>
+                <span class="n">lr_slice</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">grid_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">spatial_pad</span>
+            <span class="p">),</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_get_pad_width</span><span class="p">(</span>
+                <span class="n">lr_slice</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">grid_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">spatial_pad</span>
+            <span class="p">),</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_get_pad_width</span><span class="p">(</span>
+                <span class="n">ti_slice</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">time_index</span><span class="p">),</span> <span class="bp">self</span><span class="o">.</span><span class="n">temporal_pad</span>
+            <span class="p">),</span>
+        <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="ForwardPassStrategy.prep_chunk_data">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.prep_chunk_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">prep_chunk_data</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">chunk_index</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get low res input data and exo data for given chunk index and bias</span>
+<span class="sd">        correct low res data if requested.</span>
+
+<span class="sd">        Note</span>
+<span class="sd">        ----</span>
+<span class="sd">        ``input_data.load()`` is called here to load chunk data into memory</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">s_chunk_idx</span><span class="p">,</span> <span class="n">t_chunk_idx</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_chunk_indices</span><span class="p">(</span><span class="n">chunk_index</span><span class="p">)</span>
+        <span class="n">lr_pad_slice</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_pad_slices</span><span class="p">[</span><span class="n">s_chunk_idx</span><span class="p">]</span>
+        <span class="n">ti_pad_slice</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ti_pad_slices</span><span class="p">[</span><span class="n">t_chunk_idx</span><span class="p">]</span>
+        <span class="n">exo_data</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">timer</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">exo_data</span><span class="o">.</span><span class="n">get_chunk</span><span class="p">,</span> <span class="n">log</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">call_id</span><span class="o">=</span><span class="n">chunk_index</span><span class="p">)(</span>
+                <span class="p">[</span><span class="n">lr_pad_slice</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">lr_pad_slice</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">ti_pad_slice</span><span class="p">],</span>
+            <span class="p">)</span>
+            <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">exo_data</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+            <span class="k">else</span> <span class="kc">None</span>
+        <span class="p">)</span>
+
+        <span class="n">kwargs</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="n">Dimension</span><span class="o">.</span><span class="n">dims_2d</span><span class="p">(),</span> <span class="n">lr_pad_slice</span><span class="p">))</span>
+        <span class="n">kwargs</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">]</span> <span class="o">=</span> <span class="n">ti_pad_slice</span>
+        <span class="n">input_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;Loading data for chunk_index=</span><span class="si">%s</span><span class="s1"> into memory.&#39;</span><span class="p">,</span> <span class="n">chunk_index</span>
+        <span class="p">)</span>
+        <span class="n">input_data</span><span class="o">.</span><span class="n">load</span><span class="p">()</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_correct_kwargs</span> <span class="o">!=</span> <span class="p">{}:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;Bias correcting data for chunk_index=</span><span class="si">{</span><span class="n">chunk_index</span><span class="si">}</span><span class="s1">, &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;with shape=</span><span class="si">{</span><span class="n">input_data</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="p">)</span>
+            <span class="n">input_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">timer</span><span class="p">(</span>
+                <span class="n">bias_correct_features</span><span class="p">,</span> <span class="n">log</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">call_id</span><span class="o">=</span><span class="n">chunk_index</span>
+            <span class="p">)(</span>
+                <span class="n">features</span><span class="o">=</span><span class="nb">list</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_correct_kwargs</span><span class="p">),</span>
+                <span class="n">input_handler</span><span class="o">=</span><span class="n">input_data</span><span class="p">,</span>
+                <span class="n">bc_method</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_correct_method</span><span class="p">,</span>
+                <span class="n">bc_kwargs</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_correct_kwargs</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="n">input_data</span><span class="p">,</span> <span class="n">exo_data</span></div>
+
+
+<div class="viewcode-block" id="ForwardPassStrategy.init_chunk">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.init_chunk">[docs]</a>
+    <span class="k">def</span> <span class="nf">init_chunk</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">chunk_index</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get :class:`FowardPassChunk` instance for the given chunk index.</span>
+
+<span class="sd">        This selects the appropriate data from `self.input_handler` and</span>
+<span class="sd">        `self.exo_data` and returns a structure object (`ForwardPassChunk`)</span>
+<span class="sd">        with that data and other chunk specific attributes.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">s_chunk_idx</span><span class="p">,</span> <span class="n">t_chunk_idx</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_chunk_indices</span><span class="p">(</span><span class="n">chunk_index</span><span class="p">)</span>
+
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Requested forward pass on chunk_index=</span><span class="si">{</span><span class="n">chunk_index</span><span class="si">}</span><span class="s1"> &gt; &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;n_chunks=</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">fwp_slicer</span><span class="o">.</span><span class="n">n_chunks</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="n">chunk_index</span> <span class="o">&lt;=</span> <span class="bp">self</span><span class="o">.</span><span class="n">fwp_slicer</span><span class="o">.</span><span class="n">n_chunks</span><span class="p">,</span> <span class="n">msg</span>
+
+        <span class="n">hr_slice</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_slices</span><span class="p">[</span><span class="n">s_chunk_idx</span><span class="p">]</span>
+        <span class="n">ti_slice</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ti_slices</span><span class="p">[</span><span class="n">t_chunk_idx</span><span class="p">]</span>
+        <span class="n">lr_times</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">time_index</span><span class="p">[</span><span class="n">ti_slice</span><span class="p">]</span>
+        <span class="n">lr_pad_slice</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_pad_slices</span><span class="p">[</span><span class="n">s_chunk_idx</span><span class="p">]</span>
+        <span class="n">ti_pad_slice</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ti_pad_slices</span><span class="p">[</span><span class="n">t_chunk_idx</span><span class="p">]</span>
+
+        <span class="n">args_dict</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="s1">&#39;chunk&#39;</span><span class="p">:</span> <span class="n">chunk_index</span><span class="p">,</span>
+            <span class="s1">&#39;temporal_chunk&#39;</span><span class="p">:</span> <span class="n">t_chunk_idx</span><span class="p">,</span>
+            <span class="s1">&#39;spatial_chunk&#39;</span><span class="p">:</span> <span class="n">s_chunk_idx</span><span class="p">,</span>
+            <span class="s1">&#39;n_node_chunks&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">fwp_slicer</span><span class="o">.</span><span class="n">n_chunks</span><span class="p">,</span>
+            <span class="s1">&#39;fwp_chunk_shape&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">fwp_chunk_shape</span><span class="p">,</span>
+            <span class="s1">&#39;temporal_pad&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">temporal_pad</span><span class="p">,</span>
+            <span class="s1">&#39;spatial_pad&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">spatial_pad</span><span class="p">,</span>
+            <span class="s1">&#39;lr_pad_slice&#39;</span><span class="p">:</span> <span class="n">lr_pad_slice</span><span class="p">,</span>
+            <span class="s1">&#39;ti_pad_slice&#39;</span><span class="p">:</span> <span class="n">ti_pad_slice</span><span class="p">,</span>
+        <span class="p">}</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;Initializing ForwardPassChunk with: &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">pprint</span><span class="o">.</span><span class="n">pformat</span><span class="p">(</span><span class="n">args_dict</span><span class="p">,</span><span class="w"> </span><span class="n">indent</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Getting input data for chunk_index=</span><span class="si">{</span><span class="n">chunk_index</span><span class="si">}</span><span class="s1">.&#39;</span><span class="p">)</span>
+
+        <span class="n">input_data</span><span class="p">,</span> <span class="n">exo_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">timer</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">prep_chunk_data</span><span class="p">,</span> <span class="n">log</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">call_id</span><span class="o">=</span><span class="n">chunk_index</span>
+        <span class="p">)(</span><span class="n">chunk_index</span><span class="o">=</span><span class="n">chunk_index</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">ForwardPassChunk</span><span class="p">(</span>
+            <span class="n">input_data</span><span class="o">=</span><span class="n">input_data</span><span class="o">.</span><span class="n">as_array</span><span class="p">(),</span>
+            <span class="n">exo_data</span><span class="o">=</span><span class="n">exo_data</span><span class="p">,</span>
+            <span class="n">lr_pad_slice</span><span class="o">=</span><span class="n">lr_pad_slice</span><span class="p">,</span>
+            <span class="n">hr_crop_slice</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">fwp_slicer</span><span class="o">.</span><span class="n">hr_crop_slices</span><span class="p">[</span><span class="n">t_chunk_idx</span><span class="p">][</span>
+                <span class="n">s_chunk_idx</span>
+            <span class="p">],</span>
+            <span class="n">hr_lat_lon</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_lat_lon</span><span class="p">[</span><span class="n">hr_slice</span><span class="p">[:</span><span class="mi">2</span><span class="p">]],</span>
+            <span class="n">hr_times</span><span class="o">=</span><span class="n">OutputHandler</span><span class="o">.</span><span class="n">get_times</span><span class="p">(</span>
+                <span class="n">lr_times</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="n">lr_times</span><span class="p">)</span>
+            <span class="p">),</span>
+            <span class="n">gids</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">gids</span><span class="p">[</span><span class="n">hr_slice</span><span class="p">[:</span><span class="mi">2</span><span class="p">]],</span>
+            <span class="n">out_file</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">out_files</span><span class="p">[</span><span class="n">chunk_index</span><span class="p">],</span>
+            <span class="n">pad_width</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">get_pad_width</span><span class="p">(</span><span class="n">chunk_index</span><span class="p">),</span>
+            <span class="n">index</span><span class="o">=</span><span class="n">chunk_index</span><span class="p">,</span>
+        <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="ForwardPassStrategy.get_exo_kwargs">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.get_exo_kwargs">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_exo_kwargs</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get list of exo kwargs for all exo features.&quot;&quot;&quot;</span>
+        <span class="n">exo_kwargs_list</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">exo_handler_kwargs</span><span class="p">:</span>
+            <span class="k">for</span> <span class="n">feature</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">exo_features</span><span class="p">:</span>
+                <span class="n">exo_kwargs</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">exo_handler_kwargs</span><span class="p">[</span><span class="n">feature</span><span class="p">])</span>
+                <span class="n">exo_kwargs</span><span class="p">[</span><span class="s1">&#39;feature&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">feature</span>
+                <span class="n">exo_kwargs</span><span class="p">[</span><span class="s1">&#39;model&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">model</span>
+                <span class="n">input_handler_kwargs</span> <span class="o">=</span> <span class="n">exo_kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span>
+                    <span class="s1">&#39;input_handler_kwargs&#39;</span><span class="p">,</span> <span class="p">{}</span>
+                <span class="p">)</span>
+                <span class="n">input_handler_kwargs</span><span class="p">[</span><span class="s1">&#39;target&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">target</span>
+                <span class="n">input_handler_kwargs</span><span class="p">[</span><span class="s1">&#39;shape&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">grid_shape</span>
+                <span class="n">_</span> <span class="o">=</span> <span class="n">input_handler_kwargs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">&#39;time_slice&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+                <span class="n">exo_kwargs</span><span class="p">[</span><span class="s1">&#39;input_handler_kwargs&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">input_handler_kwargs</span>
+                <span class="n">exo_kwargs</span> <span class="o">=</span> <span class="n">get_class_kwargs</span><span class="p">(</span><span class="n">ExoDataHandler</span><span class="p">,</span> <span class="n">exo_kwargs</span><span class="p">)</span>
+                <span class="n">exo_kwargs_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">exo_kwargs</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">exo_kwargs_list</span></div>
+
+
+<div class="viewcode-block" id="ForwardPassStrategy.get_exo_cache_files">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.get_exo_cache_files">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_exo_cache_files</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get list of exo cache files so we can check if they exist or not.&quot;&quot;&quot;</span>
+        <span class="n">cache_files</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">for</span> <span class="n">exo_kwargs</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_exo_kwargs</span><span class="p">(</span><span class="n">model</span><span class="p">):</span>
+            <span class="n">cache_files</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="n">ExoDataHandler</span><span class="p">(</span><span class="o">**</span><span class="n">exo_kwargs</span><span class="p">)</span><span class="o">.</span><span class="n">cache_files</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">cache_files</span></div>
+
+
+<div class="viewcode-block" id="ForwardPassStrategy.load_exo_data">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.load_exo_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">load_exo_data</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Extract exogenous data for each exo feature and store data in</span>
+<span class="sd">        dictionary with key for each exo feature</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        exo_data : ExoData</span>
+<span class="sd">           :class:`ExoData` object composed of multiple</span>
+<span class="sd">           :class:`SingleExoDataStep` objects. This is the exo data for the</span>
+<span class="sd">           full spatiotemporal extent.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">data</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="n">exo_data</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="k">for</span> <span class="n">exo_kwargs</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_exo_kwargs</span><span class="p">(</span><span class="n">model</span><span class="p">):</span>
+            <span class="n">data</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">ExoDataHandler</span><span class="p">(</span><span class="o">**</span><span class="n">exo_kwargs</span><span class="p">)</span><span class="o">.</span><span class="n">data</span><span class="p">)</span>
+        <span class="n">exo_data</span> <span class="o">=</span> <span class="n">ExoData</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">exo_data</span></div>
+
+
+    <span class="nd">@cached_property</span>
+    <span class="k">def</span> <span class="nf">fwp_mask</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Cached spatial mask which returns whether a given spatial chunk</span>
+<span class="sd">        should be skipped by the forward pass or not. This is used to skip</span>
+<span class="sd">        running the forward pass for area with just ocean, for example.</span>
+
+<span class="sd">        Note: This is True for grid points which can be skipped in the</span>
+<span class="sd">        forward pass and False otherwise.</span>
+
+<span class="sd">        See Also</span>
+<span class="sd">        --------</span>
+<span class="sd">        sup3r.pipeline.strategy.ForwardPassStrategy</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">mask</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">lr_pad_slices</span><span class="p">))</span>
+        <span class="n">input_handler_kwargs</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">input_handler_kwargs</span><span class="p">)</span>
+        <span class="n">input_handler_kwargs</span><span class="p">[</span><span class="s1">&#39;features&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;all&#39;</span>
+        <span class="n">handler</span> <span class="o">=</span> <span class="n">Rasterizer</span><span class="p">(</span>
+            <span class="o">**</span><span class="n">get_class_kwargs</span><span class="p">(</span><span class="n">Rasterizer</span><span class="p">,</span> <span class="n">input_handler_kwargs</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="s1">&#39;mask&#39;</span> <span class="ow">in</span> <span class="n">handler</span><span class="o">.</span><span class="n">data</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="s1">&#39;Found &quot;mask&quot; in DataHandler. Computing forward pass &#39;</span>
+                <span class="s1">&#39;chunk mask for </span><span class="si">%s</span><span class="s1"> chunks&#39;</span><span class="p">,</span>
+                <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">lr_pad_slices</span><span class="p">),</span>
+            <span class="p">)</span>
+            <span class="n">mask_vals</span> <span class="o">=</span> <span class="n">handler</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;mask&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
+            <span class="k">for</span> <span class="n">s_chunk_idx</span><span class="p">,</span> <span class="n">lr_slices</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">lr_pad_slices</span><span class="p">):</span>
+                <span class="n">mask_check</span> <span class="o">=</span> <span class="n">mask_vals</span><span class="p">[</span><span class="n">lr_slices</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">lr_slices</span><span class="p">[</span><span class="mi">1</span><span class="p">]]</span>
+                <span class="n">mask</span><span class="p">[</span><span class="n">s_chunk_idx</span><span class="p">]</span> <span class="o">=</span> <span class="nb">bool</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="n">mask_check</span><span class="o">.</span><span class="n">flatten</span><span class="p">()))</span>
+        <span class="k">return</span> <span class="n">mask</span>
+
+<div class="viewcode-block" id="ForwardPassStrategy.node_finished">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.node_finished">[docs]</a>
+    <span class="k">def</span> <span class="nf">node_finished</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">node_idx</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if all out files for a given node have been saved&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="nb">all</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">chunk_finished</span><span class="p">(</span><span class="n">i</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">node_chunks</span><span class="p">[</span><span class="n">node_idx</span><span class="p">])</span></div>
+
+
+<div class="viewcode-block" id="ForwardPassStrategy.chunk_finished">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.chunk_finished">[docs]</a>
+    <span class="k">def</span> <span class="nf">chunk_finished</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">chunk_idx</span><span class="p">,</span> <span class="n">log</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if process for given chunk_index has already been run.</span>
+<span class="sd">        Considered finished if there is already an output file and incremental</span>
+<span class="sd">        is False.&quot;&quot;&quot;</span>
+
+        <span class="n">out_file</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">out_files</span><span class="p">[</span><span class="n">chunk_idx</span><span class="p">]</span>
+        <span class="n">check</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">out_file</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+            <span class="ow">and</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">out_file</span><span class="p">)</span>
+            <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">incremental</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="n">check</span> <span class="ow">and</span> <span class="n">log</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="s1">&#39;</span><span class="si">%s</span><span class="s1"> already exists and incremental = True. Skipping forward &#39;</span>
+                <span class="s1">&#39;pass for chunk index </span><span class="si">%s</span><span class="s1">.&#39;</span><span class="p">,</span>
+                <span class="n">out_file</span><span class="p">,</span>
+                <span class="n">chunk_idx</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="n">check</span></div>
+
+
+<div class="viewcode-block" id="ForwardPassStrategy.chunk_masked">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.chunk_masked">[docs]</a>
+    <span class="k">def</span> <span class="nf">chunk_masked</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">chunk_idx</span><span class="p">,</span> <span class="n">log</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if the region for this chunk is masked. This is used to skip</span>
+<span class="sd">        running the forward pass for region with just ocean, for example.&quot;&quot;&quot;</span>
+
+        <span class="n">s_chunk_idx</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_chunk_indices</span><span class="p">(</span><span class="n">chunk_idx</span><span class="p">)</span>
+        <span class="n">mask_check</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">fwp_mask</span><span class="p">[</span><span class="n">s_chunk_idx</span><span class="p">]</span>
+        <span class="k">if</span> <span class="n">mask_check</span> <span class="ow">and</span> <span class="n">log</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="s1">&#39;Chunk </span><span class="si">%s</span><span class="s1"> has spatial chunk index </span><span class="si">%s</span><span class="s1">, which corresponds to a &#39;</span>
+                <span class="s1">&#39;masked spatial region. Skipping forward pass for this chunk.&#39;</span><span class="p">,</span>
+                <span class="n">chunk_idx</span><span class="p">,</span>
+                <span class="n">s_chunk_idx</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="n">mask_check</span></div>
+</div>
+
+</pre></div>
+
+                </article>
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+    <h1></h1>
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+  <h1>Source code for sup3r.pipeline.utilities</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Methods used by :class:`ForwardPass` and :class:`ForwardPassStrategy`&quot;&quot;&quot;</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+<span class="kn">import</span> <span class="nn">sup3r.models</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="get_model">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.utilities.get_model.html#sup3r.pipeline.utilities.get_model">[docs]</a>
+<span class="k">def</span> <span class="nf">get_model</span><span class="p">(</span><span class="n">model_class</span><span class="p">,</span> <span class="n">kwargs</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Instantiate model after check on class name.&quot;&quot;&quot;</span>
+    <span class="n">model_class</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">sup3r</span><span class="o">.</span><span class="n">models</span><span class="p">,</span> <span class="n">model_class</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">kwargs</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+        <span class="n">kwargs</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;model_dir&#39;</span><span class="p">:</span> <span class="n">kwargs</span><span class="p">}</span>
+
+    <span class="k">if</span> <span class="n">model_class</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Could not load requested model class &quot;</span><span class="si">{}</span><span class="s1">&quot; from &#39;</span>
+            <span class="s1">&#39;sup3r.models, Make sure you typed in the model class &#39;</span>
+            <span class="s1">&#39;name correctly.&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">model_class</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="k">raise</span> <span class="ne">KeyError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">model_class</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="get_chunk_slices">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.pipeline.utilities.get_chunk_slices.html#sup3r.pipeline.utilities.get_chunk_slices">[docs]</a>
+<span class="k">def</span> <span class="nf">get_chunk_slices</span><span class="p">(</span><span class="n">arr_size</span><span class="p">,</span> <span class="n">chunk_size</span><span class="p">,</span> <span class="n">index_slice</span><span class="o">=</span><span class="nb">slice</span><span class="p">(</span><span class="kc">None</span><span class="p">)):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Get array slices of corresponding chunk size</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    arr_size : int</span>
+<span class="sd">        Length of array to slice</span>
+<span class="sd">    chunk_size : int</span>
+<span class="sd">        Size of slices to split array into</span>
+<span class="sd">    index_slice : slice</span>
+<span class="sd">        Slice specifying starting and ending index of slice list</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    list</span>
+<span class="sd">        List of slices corresponding to chunks of array</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">indices</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">arr_size</span><span class="p">)</span>
+    <span class="n">indices</span> <span class="o">=</span> <span class="n">indices</span><span class="p">[</span><span class="nb">slice</span><span class="p">(</span><span class="n">index_slice</span><span class="o">.</span><span class="n">start</span><span class="p">,</span> <span class="n">index_slice</span><span class="o">.</span><span class="n">stop</span><span class="p">)]</span>
+    <span class="n">step</span> <span class="o">=</span> <span class="mi">1</span> <span class="k">if</span> <span class="n">index_slice</span><span class="o">.</span><span class="n">step</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">index_slice</span><span class="o">.</span><span class="n">step</span>
+    <span class="n">slices</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="n">start</span> <span class="o">=</span> <span class="n">indices</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+    <span class="n">stop</span> <span class="o">=</span> <span class="n">start</span> <span class="o">+</span> <span class="n">step</span> <span class="o">*</span> <span class="n">chunk_size</span>
+    <span class="n">stop</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">([</span><span class="n">stop</span><span class="p">,</span> <span class="n">indices</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span><span class="p">])</span>
+
+    <span class="k">while</span> <span class="n">start</span> <span class="o">&lt;</span> <span class="n">indices</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span><span class="p">:</span>
+        <span class="n">slices</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="nb">slice</span><span class="p">(</span><span class="n">start</span><span class="p">,</span> <span class="n">stop</span><span class="p">,</span> <span class="n">step</span><span class="p">))</span>
+        <span class="n">start</span> <span class="o">=</span> <span class="n">stop</span>
+        <span class="n">stop</span> <span class="o">+=</span> <span class="n">step</span> <span class="o">*</span> <span class="n">chunk_size</span>
+        <span class="n">stop</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">([</span><span class="n">stop</span><span class="p">,</span> <span class="n">indices</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span><span class="p">])</span>
+    <span class="k">return</span> <span class="n">slices</span></div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.postprocessing.collectors.base</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;H5/NETCDF file collection.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">glob</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">re</span>
+<span class="kn">from</span> <span class="nn">abc</span> <span class="kn">import</span> <span class="n">ABC</span><span class="p">,</span> <span class="n">abstractmethod</span>
+
+<span class="kn">from</span> <span class="nn">rex.utilities.fun_utils</span> <span class="kn">import</span> <span class="n">get_fun_call_str</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.postprocessing.writers.base</span> <span class="kn">import</span> <span class="n">OutputMixin</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities</span> <span class="kn">import</span> <span class="n">ModuleName</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.cli</span> <span class="kn">import</span> <span class="n">BaseCLI</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="BaseCollector">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.collectors.base.BaseCollector.html#sup3r.postprocessing.collectors.base.BaseCollector">[docs]</a>
+<span class="k">class</span> <span class="nc">BaseCollector</span><span class="p">(</span><span class="n">OutputMixin</span><span class="p">,</span> <span class="n">ABC</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Base collector class for H5/NETCDF collection&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_paths</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        file_paths : list | str</span>
+<span class="sd">            Explicit list of str file paths that will be sorted and collected</span>
+<span class="sd">            or a single string with unix-style /search/patt*ern.&lt;ext&gt;. Files</span>
+<span class="sd">            should have non-overlapping time_index and spatial domains.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">file_paths</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
+            <span class="n">file_paths</span> <span class="o">=</span> <span class="n">glob</span><span class="o">.</span><span class="n">glob</span><span class="p">(</span><span class="n">file_paths</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">file_paths</span> <span class="o">=</span> <span class="n">file_paths</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">flist</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">file_paths</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">data</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">file_attrs</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;File names must end with two zero padded integers, denoting &#39;</span>
+            <span class="s1">&#39;the spatial chunk index and the temporal chunk index &#39;</span>
+            <span class="s1">&#39;respectively. e.g. sup3r_chunk_000000_000000.h5&#39;</span>
+        <span class="p">)</span>
+
+        <span class="k">assert</span> <span class="nb">all</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">get_chunk_indices</span><span class="p">(</span><span class="n">file</span><span class="p">)</span> <span class="k">for</span> <span class="n">file</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">flist</span><span class="p">),</span> <span class="n">msg</span>
+
+<div class="viewcode-block" id="BaseCollector.get_chunk_indices">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.collectors.base.BaseCollector.html#sup3r.postprocessing.collectors.base.BaseCollector.get_chunk_indices">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">get_chunk_indices</span><span class="p">(</span><span class="n">file</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get spatial and temporal chunk indices from the given file name.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        temporal_chunk_index : str</span>
+<span class="sd">            Zero padded integer for the temporal chunk index</span>
+<span class="sd">        spatial_chunk_index : str</span>
+<span class="sd">            Zero padded integer for the spatial chunk index</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="n">re</span><span class="o">.</span><span class="n">match</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;.*_([0-9]+)_([0-9]+).*\w+$&#39;</span><span class="p">,</span> <span class="n">file</span><span class="p">)</span><span class="o">.</span><span class="n">groups</span><span class="p">()</span></div>
+
+
+<div class="viewcode-block" id="BaseCollector.collect">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.collectors.base.BaseCollector.html#sup3r.postprocessing.collectors.base.BaseCollector.collect">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="nd">@abstractmethod</span>
+    <span class="k">def</span> <span class="nf">collect</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Collect data files from a dir to one output file.&quot;&quot;&quot;</span></div>
+
+
+<div class="viewcode-block" id="BaseCollector.get_node_cmd">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.collectors.base.BaseCollector.html#sup3r.postprocessing.collectors.base.BaseCollector.get_node_cmd">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">get_node_cmd</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">config</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a CLI call to collect data.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        config : dict</span>
+<span class="sd">            sup3r collection config with all necessary args and kwargs to</span>
+<span class="sd">            run data collection.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">import_str</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;from sup3r.postprocessing.collectors &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;import </span><span class="si">{</span><span class="bp">cls</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s1">;</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="s1">&#39;from rex import init_logger;</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="s1">&#39;import time;</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="s1">&#39;from gaps import Status&#39;</span>
+        <span class="p">)</span>
+
+        <span class="n">dc_fun_str</span> <span class="o">=</span> <span class="n">get_fun_call_str</span><span class="p">(</span><span class="bp">cls</span><span class="o">.</span><span class="n">collect</span><span class="p">,</span> <span class="n">config</span><span class="p">)</span>
+
+        <span class="n">log_file</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;log_file&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="n">log_level</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;log_level&#39;</span><span class="p">,</span> <span class="s1">&#39;INFO&#39;</span><span class="p">)</span>
+        <span class="n">log_arg_str</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;&quot;sup3r&quot;, log_level=&quot;</span><span class="si">{</span><span class="n">log_level</span><span class="si">}</span><span class="s1">&quot;&#39;</span>
+        <span class="k">if</span> <span class="n">log_file</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">log_arg_str</span> <span class="o">+=</span> <span class="sa">f</span><span class="s1">&#39;, log_file=&quot;</span><span class="si">{</span><span class="n">log_file</span><span class="si">}</span><span class="s1">&quot;&#39;</span>
+
+        <span class="n">cmd</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s2">&quot;python -c &#39;</span><span class="si">{</span><span class="n">import_str</span><span class="si">}</span><span class="s2">;</span><span class="se">\n</span><span class="s2">&quot;</span>
+            <span class="s1">&#39;t0 = time.time();</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;logger = init_logger(</span><span class="si">{</span><span class="n">log_arg_str</span><span class="si">}</span><span class="s1">);</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">dc_fun_str</span><span class="si">}</span><span class="s1">;</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="s1">&#39;t_elap = time.time() - t0;</span><span class="se">\n</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+
+        <span class="n">pipeline_step</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;pipeline_step&#39;</span><span class="p">)</span> <span class="ow">or</span> <span class="n">ModuleName</span><span class="o">.</span><span class="n">DATA_COLLECT</span>
+        <span class="n">cmd</span> <span class="o">=</span> <span class="n">BaseCLI</span><span class="o">.</span><span class="n">add_status_cmd</span><span class="p">(</span><span class="n">config</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="p">,</span> <span class="n">cmd</span><span class="p">)</span>
+        <span class="n">cmd</span> <span class="o">+=</span> <span class="s2">&quot;;&#39;</span><span class="se">\n</span><span class="s2">&quot;</span>
+
+        <span class="k">return</span> <span class="n">cmd</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;</span><span class="se">\\</span><span class="s1">&#39;</span><span class="p">,</span> <span class="s1">&#39;/&#39;</span><span class="p">)</span></div>
+</div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.postprocessing.collectors.h5</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;H5 file collection.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">from</span> <span class="nn">warnings</span> <span class="kn">import</span> <span class="n">warn</span>
+
+<span class="kn">import</span> <span class="nn">dask</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">from</span> <span class="nn">rex.utilities.loggers</span> <span class="kn">import</span> <span class="n">init_logger</span>
+<span class="kn">from</span> <span class="nn">scipy.spatial</span> <span class="kn">import</span> <span class="n">KDTree</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.postprocessing.writers.base</span> <span class="kn">import</span> <span class="n">RexOutputs</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="n">_mem_check</span>
+
+<span class="kn">from</span> <span class="nn">.base</span> <span class="kn">import</span> <span class="n">BaseCollector</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="CollectorH5">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5">[docs]</a>
+<span class="k">class</span> <span class="nc">CollectorH5</span><span class="p">(</span><span class="n">BaseCollector</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Sup3r H5 file collection framework&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="CollectorH5.get_slices">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5.get_slices">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">get_slices</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span> <span class="n">final_time_index</span><span class="p">,</span> <span class="n">final_meta</span><span class="p">,</span> <span class="n">new_time_index</span><span class="p">,</span> <span class="n">new_meta</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get index slices where the new ti/meta belong in the final ti/meta.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        final_time_index : pd.Datetimeindex</span>
+<span class="sd">            Time index of the final file that new_time_index is being written</span>
+<span class="sd">            to.</span>
+<span class="sd">        final_meta : pd.DataFrame</span>
+<span class="sd">            Meta data of the final file that new_meta is being written to.</span>
+<span class="sd">        new_time_index : pd.Datetimeindex</span>
+<span class="sd">            Chunk time index that is a subset of the final_time_index.</span>
+<span class="sd">        new_meta : pd.DataFrame</span>
+<span class="sd">            Chunk meta data that is a subset of the final_meta.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        row_slice : slice</span>
+<span class="sd">            final_time_index[row_slice] = new_time_index</span>
+<span class="sd">        col_slice : slice</span>
+<span class="sd">            final_meta[col_slice] = new_meta</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">final_index</span> <span class="o">=</span> <span class="n">final_meta</span><span class="o">.</span><span class="n">index</span>
+        <span class="n">new_index</span> <span class="o">=</span> <span class="n">new_meta</span><span class="o">.</span><span class="n">index</span>
+        <span class="n">row_loc</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">final_time_index</span><span class="o">.</span><span class="n">isin</span><span class="p">(</span><span class="n">new_time_index</span><span class="p">))[</span><span class="mi">0</span><span class="p">]</span>
+        <span class="n">col_loc</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">final_meta</span><span class="p">[</span><span class="s1">&#39;gid&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">isin</span><span class="p">(</span><span class="n">new_meta</span><span class="p">[</span><span class="s1">&#39;gid&#39;</span><span class="p">]))[</span><span class="mi">0</span><span class="p">]</span>
+
+        <span class="k">if</span> <span class="ow">not</span> <span class="nb">len</span><span class="p">(</span><span class="n">row_loc</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Could not find row locations in file collection. &#39;</span>
+                <span class="s1">&#39;New time index: </span><span class="si">{}</span><span class="s1"> final time index: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="n">new_time_index</span><span class="p">,</span> <span class="n">final_time_index</span>
+                <span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="ow">not</span> <span class="nb">len</span><span class="p">(</span><span class="n">col_loc</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Could not find col locations in file collection. &#39;</span>
+                <span class="s1">&#39;New index: </span><span class="si">{}</span><span class="s1"> final index: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">new_index</span><span class="p">,</span> <span class="n">final_index</span><span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="n">row_slice</span> <span class="o">=</span> <span class="nb">slice</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">row_loc</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">row_loc</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;row_slice=</span><span class="si">{</span><span class="n">row_slice</span><span class="si">}</span><span class="s1"> conflict with row_indices=</span><span class="si">{</span><span class="n">row_loc</span><span class="si">}</span><span class="s1">. &#39;</span>
+            <span class="s1">&#39;Indices do not seem to be increasing and/or contiguous.&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="p">(</span><span class="n">row_slice</span><span class="o">.</span><span class="n">stop</span> <span class="o">-</span> <span class="n">row_slice</span><span class="o">.</span><span class="n">start</span><span class="p">)</span> <span class="o">==</span> <span class="nb">len</span><span class="p">(</span><span class="n">row_loc</span><span class="p">),</span> <span class="n">msg</span>
+
+        <span class="k">return</span> <span class="n">row_slice</span><span class="p">,</span> <span class="n">col_loc</span></div>
+
+
+<div class="viewcode-block" id="CollectorH5.get_coordinate_indices">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5.get_coordinate_indices">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_coordinate_indices</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">target_meta</span><span class="p">,</span> <span class="n">full_meta</span><span class="p">,</span> <span class="n">threshold</span><span class="o">=</span><span class="mf">1e-4</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get coordindate indices in meta data for given targets</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        target_meta : pd.DataFrame</span>
+<span class="sd">            Dataframe of coordinates to find within the full meta</span>
+<span class="sd">        full_meta : pd.DataFrame</span>
+<span class="sd">            Dataframe of full set of coordinates for unfiltered dataset</span>
+<span class="sd">        threshold : float</span>
+<span class="sd">            Threshold distance for finding target coordinates within full meta</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">ll2</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">vstack</span><span class="p">(</span>
+            <span class="p">(</span><span class="n">full_meta</span><span class="o">.</span><span class="n">latitude</span><span class="o">.</span><span class="n">values</span><span class="p">,</span> <span class="n">full_meta</span><span class="o">.</span><span class="n">longitude</span><span class="o">.</span><span class="n">values</span><span class="p">)</span>
+        <span class="p">)</span><span class="o">.</span><span class="n">T</span>
+        <span class="n">tree</span> <span class="o">=</span> <span class="n">KDTree</span><span class="p">(</span><span class="n">ll2</span><span class="p">)</span>
+        <span class="n">targets</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">vstack</span><span class="p">(</span>
+            <span class="p">(</span><span class="n">target_meta</span><span class="o">.</span><span class="n">latitude</span><span class="o">.</span><span class="n">values</span><span class="p">,</span> <span class="n">target_meta</span><span class="o">.</span><span class="n">longitude</span><span class="o">.</span><span class="n">values</span><span class="p">)</span>
+        <span class="p">)</span><span class="o">.</span><span class="n">T</span>
+        <span class="n">_</span><span class="p">,</span> <span class="n">indices</span> <span class="o">=</span> <span class="n">tree</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">targets</span><span class="p">,</span> <span class="n">distance_upper_bound</span><span class="o">=</span><span class="n">threshold</span><span class="p">)</span>
+        <span class="n">indices</span> <span class="o">=</span> <span class="n">indices</span><span class="p">[</span><span class="n">indices</span> <span class="o">&lt;</span> <span class="nb">len</span><span class="p">(</span><span class="n">full_meta</span><span class="p">)]</span>
+        <span class="k">return</span> <span class="n">indices</span></div>
+
+
+<div class="viewcode-block" id="CollectorH5.get_data">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5.get_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">file_path</span><span class="p">,</span>
+        <span class="n">feature</span><span class="p">,</span>
+        <span class="n">time_index</span><span class="p">,</span>
+        <span class="n">meta</span><span class="p">,</span>
+        <span class="n">scale_factor</span><span class="p">,</span>
+        <span class="n">dtype</span><span class="p">,</span>
+        <span class="n">threshold</span><span class="o">=</span><span class="mf">1e-4</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Retreive a data array from a chunked file.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        file_path : str</span>
+<span class="sd">            h5 file to get data from</span>
+<span class="sd">        feature : str</span>
+<span class="sd">            dataset to retrieve data from fpath.</span>
+<span class="sd">        time_index : pd.Datetimeindex</span>
+<span class="sd">            Time index of the final file.</span>
+<span class="sd">        meta : pd.DataFrame</span>
+<span class="sd">            Meta data of the final file.</span>
+<span class="sd">        scale_factor : int | float</span>
+<span class="sd">            Final destination scale factor after collection. If the data</span>
+<span class="sd">            retrieval from the files to be collected has a different scale</span>
+<span class="sd">            factor, the collected data will be rescaled and returned as</span>
+<span class="sd">            float32.</span>
+<span class="sd">        dtype : np.dtype</span>
+<span class="sd">            Final dtype to return data as</span>
+<span class="sd">        threshold : float</span>
+<span class="sd">            Threshold distance for finding target coordinates within full meta</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        f_data : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            Data array from the fpath cast as input dtype.</span>
+<span class="sd">        row_slice : slice</span>
+<span class="sd">            final_time_index[row_slice] = new_time_index</span>
+<span class="sd">        col_slice : slice</span>
+<span class="sd">            final_meta[col_slice] = new_meta</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">with</span> <span class="n">RexOutputs</span><span class="p">(</span><span class="n">file_path</span><span class="p">,</span> <span class="n">unscale</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;r&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+            <span class="n">f_ti</span> <span class="o">=</span> <span class="n">f</span><span class="o">.</span><span class="n">time_index</span>
+            <span class="n">f_meta</span> <span class="o">=</span> <span class="n">f</span><span class="o">.</span><span class="n">meta</span>
+            <span class="n">source_scale_factor</span> <span class="o">=</span> <span class="n">f</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;scale_factor&#39;</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
+
+            <span class="k">if</span> <span class="n">feature</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">f</span><span class="o">.</span><span class="n">dsets</span><span class="p">:</span>
+                <span class="n">e</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="s1">&#39;Trying to collect dataset &quot;</span><span class="si">{}</span><span class="s1">&quot; but cannot find in &#39;</span>
+                    <span class="s1">&#39;available: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">feature</span><span class="p">,</span> <span class="n">f</span><span class="o">.</span><span class="n">dsets</span><span class="p">)</span>
+                <span class="p">)</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">e</span><span class="p">)</span>
+                <span class="k">raise</span> <span class="ne">KeyError</span><span class="p">(</span><span class="n">e</span><span class="p">)</span>
+
+            <span class="n">mask</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_coordinate_indices</span><span class="p">(</span>
+                <span class="n">meta</span><span class="p">,</span> <span class="n">f_meta</span><span class="p">,</span> <span class="n">threshold</span><span class="o">=</span><span class="n">threshold</span>
+            <span class="p">)</span>
+            <span class="n">f_meta</span> <span class="o">=</span> <span class="n">f_meta</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="n">mask</span><span class="p">]</span>
+            <span class="n">f_data</span> <span class="o">=</span> <span class="n">f</span><span class="p">[</span><span class="n">feature</span><span class="p">][:,</span> <span class="n">mask</span><span class="p">]</span>
+
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">mask</span><span class="p">)</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;No target coordinates found in masked meta. &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;Skipping collection for </span><span class="si">{</span><span class="n">file_path</span><span class="si">}</span><span class="s1">.&#39;</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">row_slice</span><span class="p">,</span> <span class="n">col_slice</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_slices</span><span class="p">(</span>
+                <span class="n">time_index</span><span class="p">,</span> <span class="n">meta</span><span class="p">,</span> <span class="n">f_ti</span><span class="p">,</span> <span class="n">f_meta</span>
+            <span class="p">)</span>
+
+            <span class="k">if</span> <span class="n">scale_factor</span> <span class="o">!=</span> <span class="n">source_scale_factor</span><span class="p">:</span>
+                <span class="n">f_data</span> <span class="o">=</span> <span class="n">f_data</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+                <span class="n">f_data</span> <span class="o">*=</span> <span class="n">scale_factor</span> <span class="o">/</span> <span class="n">source_scale_factor</span>
+
+            <span class="k">if</span> <span class="n">np</span><span class="o">.</span><span class="n">issubdtype</span><span class="p">(</span><span class="n">dtype</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">integer</span><span class="p">):</span>
+                <span class="n">f_data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">f_data</span><span class="p">)</span>
+
+            <span class="n">f_data</span> <span class="o">=</span> <span class="n">f_data</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">dtype</span><span class="p">)</span>
+
+            <span class="k">try</span><span class="p">:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">row_slice</span><span class="p">,</span> <span class="n">col_slice</span><span class="p">]</span> <span class="o">=</span> <span class="n">f_data</span>
+            <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
+                <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="sa">f</span><span class="s1">&#39;Failed to add data to self.data[</span><span class="si">{</span><span class="n">row_slice</span><span class="si">}</span><span class="s1">, &#39;</span>
+                    <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">col_slice</span><span class="si">}</span><span class="s1">] for feature=</span><span class="si">{</span><span class="n">feature</span><span class="si">}</span><span class="s1">, &#39;</span>
+                    <span class="sa">f</span><span class="s1">&#39;file_path=</span><span class="si">{</span><span class="n">file_path</span><span class="si">}</span><span class="s1">, time_index=</span><span class="si">{</span><span class="n">time_index</span><span class="si">}</span><span class="s1">, &#39;</span>
+                    <span class="sa">f</span><span class="s1">&#39;meta=</span><span class="si">{</span><span class="n">meta</span><span class="si">}</span><span class="s1">. </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s1">&#39;</span>
+                <span class="p">)</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="k">raise</span> <span class="ne">OSError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span></div>
+
+
+    <span class="k">def</span> <span class="nf">_get_file_time_index</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get time index for a single file. Simple method used in thread pool</span>
+<span class="sd">        for attribute collection.&quot;&quot;&quot;</span>
+        <span class="k">with</span> <span class="n">RexOutputs</span><span class="p">(</span><span class="n">file</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;r&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+            <span class="n">time_index</span> <span class="o">=</span> <span class="n">f</span><span class="o">.</span><span class="n">time_index</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                <span class="s1">&#39;Finished getting time index for file: </span><span class="si">%s</span><span class="s1">. </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span>
+                <span class="n">file</span><span class="p">,</span>
+                <span class="n">_mem_check</span><span class="p">(),</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="n">time_index</span>
+
+    <span class="k">def</span> <span class="nf">_get_file_meta</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get meta for a single file. Simple method used in thread pool for</span>
+<span class="sd">        attribute collection.&quot;&quot;&quot;</span>
+        <span class="k">with</span> <span class="n">RexOutputs</span><span class="p">(</span><span class="n">file</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;r&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+            <span class="n">meta</span> <span class="o">=</span> <span class="n">f</span><span class="o">.</span><span class="n">meta</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                <span class="s1">&#39;Finished getting meta for file: </span><span class="si">%s</span><span class="s1">. </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">file</span><span class="p">,</span> <span class="n">_mem_check</span><span class="p">()</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="n">meta</span>
+
+<div class="viewcode-block" id="CollectorH5.get_unique_chunk_files">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5.get_unique_chunk_files">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_unique_chunk_files</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_paths</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;We get files for the unique spatial and temporal extents covered by</span>
+<span class="sd">        all collection files. Since the files have a suffix</span>
+<span class="sd">        ``_{temporal_chunk_index}_{spatial_chunk_index}.h5`` we just use all</span>
+<span class="sd">        files with a single ``spatial_chunk_index`` for the full time index and</span>
+<span class="sd">        all files with a single ``temporal_chunk_index`` for the full meta.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        t_files : list</span>
+<span class="sd">            Explicit list of str file paths which, when combined, provide the</span>
+<span class="sd">            entire spatial domain.</span>
+<span class="sd">        s_files : list</span>
+<span class="sd">            Explicit list of str file paths which, when combined, provide the</span>
+<span class="sd">            entire temporal extent.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">t_files</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="n">s_files</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">file_paths</span><span class="p">:</span>
+            <span class="n">t_chunk</span><span class="p">,</span> <span class="n">s_chunk</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_chunk_indices</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
+            <span class="k">if</span> <span class="n">t_chunk</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">t_files</span><span class="p">:</span>
+                <span class="n">t_files</span><span class="p">[</span><span class="n">t_chunk</span><span class="p">]</span> <span class="o">=</span> <span class="n">f</span>
+            <span class="k">if</span> <span class="n">s_chunk</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">s_files</span><span class="p">:</span>
+                <span class="n">s_files</span><span class="p">[</span><span class="n">s_chunk</span><span class="p">]</span> <span class="o">=</span> <span class="n">f</span>
+
+        <span class="n">t_files</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">t_files</span><span class="o">.</span><span class="n">values</span><span class="p">())</span>
+        <span class="n">s_files</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">s_files</span><span class="o">.</span><span class="n">values</span><span class="p">())</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Found </span><span class="si">%s</span><span class="s1"> unique temporal chunks&#39;</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">t_files</span><span class="p">))</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Found </span><span class="si">%s</span><span class="s1"> unique spatial chunks&#39;</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">s_files</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">t_files</span><span class="p">,</span> <span class="n">s_files</span></div>
+
+
+    <span class="k">def</span> <span class="nf">_get_collection_attrs</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_paths</span><span class="p">,</span> <span class="n">max_workers</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get important dataset attributes from a file list to be collected.</span>
+
+<span class="sd">        Assumes the file list is chunked in time (row chunked).</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        file_paths : list | str</span>
+<span class="sd">            Explicit list of str file paths that will be sorted and collected</span>
+<span class="sd">            or a single string with unix-style /search/patt*ern.h5.</span>
+<span class="sd">        max_workers : int | None</span>
+<span class="sd">            Number of workers to use in parallel. 1 runs serial,</span>
+<span class="sd">            None uses all available.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        time_index : pd.datetimeindex</span>
+<span class="sd">            Concatenated full size datetime index from the flist that is</span>
+<span class="sd">            being collected</span>
+<span class="sd">        meta : pd.DataFrame</span>
+<span class="sd">            Concatenated full size meta data from the flist that is being</span>
+<span class="sd">            collected or provided target meta</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">t_files</span><span class="p">,</span> <span class="n">s_files</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_unique_chunk_files</span><span class="p">(</span><span class="n">file_paths</span><span class="p">)</span>
+        <span class="n">meta_tasks</span> <span class="o">=</span> <span class="p">[</span><span class="n">dask</span><span class="o">.</span><span class="n">delayed</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_get_file_meta</span><span class="p">)(</span><span class="n">fn</span><span class="p">)</span> <span class="k">for</span> <span class="n">fn</span> <span class="ow">in</span> <span class="n">s_files</span><span class="p">]</span>
+        <span class="n">ti_tasks</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="n">dask</span><span class="o">.</span><span class="n">delayed</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_get_file_time_index</span><span class="p">)(</span><span class="n">fn</span><span class="p">)</span> <span class="k">for</span> <span class="n">fn</span> <span class="ow">in</span> <span class="n">t_files</span>
+        <span class="p">]</span>
+
+        <span class="k">if</span> <span class="n">max_workers</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">meta</span> <span class="o">=</span> <span class="n">dask</span><span class="o">.</span><span class="n">compute</span><span class="p">(</span><span class="o">*</span><span class="n">meta_tasks</span><span class="p">,</span> <span class="n">scheduler</span><span class="o">=</span><span class="s1">&#39;single-threaded&#39;</span><span class="p">)</span>
+            <span class="n">time_index</span> <span class="o">=</span> <span class="n">dask</span><span class="o">.</span><span class="n">compute</span><span class="p">(</span><span class="o">*</span><span class="n">ti_tasks</span><span class="p">,</span> <span class="n">scheduler</span><span class="o">=</span><span class="s1">&#39;single-threaded&#39;</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">meta</span> <span class="o">=</span> <span class="n">dask</span><span class="o">.</span><span class="n">compute</span><span class="p">(</span>
+                <span class="o">*</span><span class="n">meta_tasks</span><span class="p">,</span> <span class="n">scheduler</span><span class="o">=</span><span class="s1">&#39;threads&#39;</span><span class="p">,</span> <span class="n">num_workers</span><span class="o">=</span><span class="n">max_workers</span>
+            <span class="p">)</span>
+            <span class="n">time_index</span> <span class="o">=</span> <span class="n">dask</span><span class="o">.</span><span class="n">compute</span><span class="p">(</span>
+                <span class="o">*</span><span class="n">ti_tasks</span><span class="p">,</span> <span class="n">scheduler</span><span class="o">=</span><span class="s1">&#39;threads&#39;</span><span class="p">,</span> <span class="n">num_workers</span><span class="o">=</span><span class="n">max_workers</span>
+            <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;Finished getting meta and time_index for all unique chunks.&#39;</span>
+        <span class="p">)</span>
+        <span class="n">time_index</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DatetimeIndex</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">(</span><span class="n">time_index</span><span class="p">))</span>
+        <span class="n">time_index</span> <span class="o">=</span> <span class="n">time_index</span><span class="o">.</span><span class="n">sort_values</span><span class="p">()</span>
+        <span class="n">unique_ti</span> <span class="o">=</span> <span class="n">time_index</span><span class="o">.</span><span class="n">drop_duplicates</span><span class="p">()</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;Found duplicate time steps from supposedly unique time periods.&#39;</span>
+        <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">unique_ti</span><span class="p">)</span> <span class="o">==</span> <span class="nb">len</span><span class="p">(</span><span class="n">time_index</span><span class="p">),</span> <span class="n">msg</span>
+        <span class="n">meta</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">(</span><span class="n">meta</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="s1">&#39;latitude&#39;</span> <span class="ow">in</span> <span class="n">meta</span> <span class="ow">and</span> <span class="s1">&#39;longitude&#39;</span> <span class="ow">in</span> <span class="n">meta</span><span class="p">:</span>
+            <span class="n">meta</span> <span class="o">=</span> <span class="n">meta</span><span class="o">.</span><span class="n">drop_duplicates</span><span class="p">(</span><span class="n">subset</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;latitude&#39;</span><span class="p">,</span> <span class="s1">&#39;longitude&#39;</span><span class="p">])</span>
+        <span class="n">meta</span> <span class="o">=</span> <span class="n">meta</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s1">&#39;gid&#39;</span><span class="p">)</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Finished building full meta and time index.&#39;</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">time_index</span><span class="p">,</span> <span class="n">meta</span>
+
+<div class="viewcode-block" id="CollectorH5.get_target_and_masked_meta">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5.get_target_and_masked_meta">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_target_and_masked_meta</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span> <span class="n">meta</span><span class="p">,</span> <span class="n">target_meta_file</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">threshold</span><span class="o">=</span><span class="mf">1e-4</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Use combined meta for all files and target_meta_file to get</span>
+<span class="sd">        mapping from the full meta to the target meta and the mapping from the</span>
+<span class="sd">        target meta to the full meta, both of which are masked to remove</span>
+<span class="sd">        coordinates not present in the target_meta.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        meta : pd.DataFrame</span>
+<span class="sd">            Concatenated full size meta data from the flist that is being</span>
+<span class="sd">            collected or provided target meta</span>
+<span class="sd">        target_meta_file : str</span>
+<span class="sd">            Path to target final meta containing coordinates to keep from the</span>
+<span class="sd">            full list of coordinates present in the collected meta for the full</span>
+<span class="sd">            file list.</span>
+<span class="sd">        threshold : float</span>
+<span class="sd">            Threshold distance for finding target coordinates within full meta</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        target_meta : pd.DataFrame</span>
+<span class="sd">            Concatenated full size meta data from the flist that is being</span>
+<span class="sd">            collected or provided target meta</span>
+<span class="sd">        masked_meta : pd.DataFrame</span>
+<span class="sd">            Concatenated full size meta data from the flist that is being</span>
+<span class="sd">            collected masked against target_meta</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">target_meta_file</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">target_meta_file</span><span class="p">):</span>
+            <span class="n">target_meta</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">target_meta_file</span><span class="p">)</span>
+            <span class="k">if</span> <span class="s1">&#39;gid&#39;</span> <span class="ow">in</span> <span class="n">target_meta</span><span class="o">.</span><span class="n">columns</span><span class="p">:</span>
+                <span class="n">target_meta</span> <span class="o">=</span> <span class="n">target_meta</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s1">&#39;gid&#39;</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+            <span class="n">mask</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_coordinate_indices</span><span class="p">(</span>
+                <span class="n">target_meta</span><span class="p">,</span> <span class="n">meta</span><span class="p">,</span> <span class="n">threshold</span><span class="o">=</span><span class="n">threshold</span>
+            <span class="p">)</span>
+            <span class="n">masked_meta</span> <span class="o">=</span> <span class="n">meta</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="n">mask</span><span class="p">]</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Masked meta coordinates: </span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">masked_meta</span><span class="p">)</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+            <span class="n">mask</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_coordinate_indices</span><span class="p">(</span>
+                <span class="n">masked_meta</span><span class="p">,</span> <span class="n">target_meta</span><span class="p">,</span> <span class="n">threshold</span><span class="o">=</span><span class="n">threshold</span>
+            <span class="p">)</span>
+            <span class="n">target_meta</span> <span class="o">=</span> <span class="n">target_meta</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="n">mask</span><span class="p">]</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Target meta coordinates: </span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">target_meta</span><span class="p">)</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">target_meta</span> <span class="o">=</span> <span class="n">masked_meta</span> <span class="o">=</span> <span class="n">meta</span>
+
+        <span class="k">return</span> <span class="n">target_meta</span><span class="p">,</span> <span class="n">masked_meta</span></div>
+
+
+<div class="viewcode-block" id="CollectorH5.get_collection_attrs">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5.get_collection_attrs">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_collection_attrs</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">file_paths</span><span class="p">,</span>
+        <span class="n">max_workers</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">target_meta_file</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">threshold</span><span class="o">=</span><span class="mf">1e-4</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get important dataset attributes from a file list to be collected.</span>
+
+<span class="sd">        Assumes the file list is chunked in time (row chunked).</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        file_paths : list | str</span>
+<span class="sd">            Explicit list of str file paths that will be sorted and collected</span>
+<span class="sd">            or a single string with unix-style /search/patt*ern.h5.</span>
+<span class="sd">        max_workers : int | None</span>
+<span class="sd">            Number of workers to use in parallel. 1 runs serial,</span>
+<span class="sd">            None will use all available workers.</span>
+<span class="sd">        target_meta_file : str</span>
+<span class="sd">            Path to target final meta containing coordinates to keep from the</span>
+<span class="sd">            full list of coordinates present in the collected meta for the full</span>
+<span class="sd">            file list.</span>
+<span class="sd">        threshold : float</span>
+<span class="sd">            Threshold distance for finding target coordinates within full meta</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        time_index : pd.datetimeindex</span>
+<span class="sd">            Concatenated full size datetime index from the flist that is</span>
+<span class="sd">            being collected</span>
+<span class="sd">        target_meta : pd.DataFrame</span>
+<span class="sd">            Concatenated full size meta data from the flist that is being</span>
+<span class="sd">            collected or provided target meta</span>
+<span class="sd">        masked_meta : pd.DataFrame</span>
+<span class="sd">            Concatenated full size meta data from the flist that is being</span>
+<span class="sd">            collected masked against target_meta</span>
+<span class="sd">        shape : tuple</span>
+<span class="sd">            Output (collected) dataset shape</span>
+<span class="sd">        global_attrs : dict</span>
+<span class="sd">            Global attributes from the first file in file_paths (it&#39;s assumed</span>
+<span class="sd">            that all the files in file_paths have the same global file</span>
+<span class="sd">            attributes).</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Using target_meta_file=</span><span class="si">{</span><span class="n">target_meta_file</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">target_meta_file</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;Provided target meta (</span><span class="si">{</span><span class="n">target_meta_file</span><span class="si">}</span><span class="s1">) does not exist.&#39;</span>
+            <span class="k">assert</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">target_meta_file</span><span class="p">),</span> <span class="n">msg</span>
+
+        <span class="n">time_index</span><span class="p">,</span> <span class="n">meta</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_collection_attrs</span><span class="p">(</span>
+            <span class="n">file_paths</span><span class="p">,</span> <span class="n">max_workers</span><span class="o">=</span><span class="n">max_workers</span>
+        <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Getting target and masked meta.&#39;</span><span class="p">)</span>
+        <span class="n">target_meta</span><span class="p">,</span> <span class="n">masked_meta</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_target_and_masked_meta</span><span class="p">(</span>
+            <span class="n">meta</span><span class="p">,</span> <span class="n">target_meta_file</span><span class="p">,</span> <span class="n">threshold</span><span class="o">=</span><span class="n">threshold</span>
+        <span class="p">)</span>
+
+        <span class="n">shape</span> <span class="o">=</span> <span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">time_index</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">target_meta</span><span class="p">))</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Getting global attrs from </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">file_paths</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+        <span class="k">with</span> <span class="n">RexOutputs</span><span class="p">(</span><span class="n">file_paths</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;r&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">fin</span><span class="p">:</span>
+            <span class="n">global_attrs</span> <span class="o">=</span> <span class="n">fin</span><span class="o">.</span><span class="n">global_attrs</span>
+
+        <span class="k">return</span> <span class="n">time_index</span><span class="p">,</span> <span class="n">target_meta</span><span class="p">,</span> <span class="n">masked_meta</span><span class="p">,</span> <span class="n">shape</span><span class="p">,</span> <span class="n">global_attrs</span></div>
+
+
+    <span class="k">def</span> <span class="nf">_write_flist_data</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">out_file</span><span class="p">,</span>
+        <span class="n">feature</span><span class="p">,</span>
+        <span class="n">time_index</span><span class="p">,</span>
+        <span class="n">subset_masked_meta</span><span class="p">,</span>
+        <span class="n">target_masked_meta</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Write spatiotemporal file list data to output file for given</span>
+<span class="sd">        feature</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        out_file : str</span>
+<span class="sd">            Name of output file</span>
+<span class="sd">        feature : str</span>
+<span class="sd">            Name of feature for output chunk</span>
+<span class="sd">        time_index : pd.DateTimeIndex</span>
+<span class="sd">            Time index for corresponding file list data</span>
+<span class="sd">        subset_masked_meta : pd.DataFrame</span>
+<span class="sd">            Meta for corresponding file list data</span>
+<span class="sd">        target_masked_meta : pd.DataFrame</span>
+<span class="sd">            Meta for full output file</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">with</span> <span class="n">RexOutputs</span><span class="p">(</span><span class="n">out_file</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;r&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+            <span class="n">target_ti</span> <span class="o">=</span> <span class="n">f</span><span class="o">.</span><span class="n">time_index</span>
+            <span class="n">y_write_slice</span><span class="p">,</span> <span class="n">x_write_slice</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_slices</span><span class="p">(</span>
+                <span class="n">target_ti</span><span class="p">,</span>
+                <span class="n">target_masked_meta</span><span class="p">,</span>
+                <span class="n">time_index</span><span class="p">,</span>
+                <span class="n">subset_masked_meta</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_ensure_dset_in_output</span><span class="p">(</span><span class="n">out_file</span><span class="p">,</span> <span class="n">feature</span><span class="p">)</span>
+
+        <span class="k">with</span> <span class="n">RexOutputs</span><span class="p">(</span><span class="n">out_file</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;a&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+            <span class="k">try</span><span class="p">:</span>
+                <span class="n">f</span><span class="p">[</span><span class="n">feature</span><span class="p">,</span> <span class="n">y_write_slice</span><span class="p">,</span> <span class="n">x_write_slice</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span>
+            <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
+                <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="sa">f</span><span class="s1">&#39;Problem with writing data to </span><span class="si">{</span><span class="n">out_file</span><span class="si">}</span><span class="s1"> with &#39;</span>
+                    <span class="sa">f</span><span class="s1">&#39;t_slice=</span><span class="si">{</span><span class="n">y_write_slice</span><span class="si">}</span><span class="s1">, &#39;</span>
+                    <span class="sa">f</span><span class="s1">&#39;s_slice=</span><span class="si">{</span><span class="n">x_write_slice</span><span class="si">}</span><span class="s1">. </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s1">&#39;</span>
+                <span class="p">)</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="k">raise</span> <span class="ne">OSError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+            <span class="s1">&#39;Finished writing &quot;</span><span class="si">{}</span><span class="s1">&quot; for row </span><span class="si">{}</span><span class="s1"> and col </span><span class="si">{}</span><span class="s1"> to: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">feature</span><span class="p">,</span>
+                <span class="n">y_write_slice</span><span class="p">,</span>
+                <span class="n">x_write_slice</span><span class="p">,</span>
+                <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">basename</span><span class="p">(</span><span class="n">out_file</span><span class="p">),</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+
+    <span class="k">def</span> <span class="nf">_collect_flist</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">feature</span><span class="p">,</span>
+        <span class="n">subset_masked_meta</span><span class="p">,</span>
+        <span class="n">time_index</span><span class="p">,</span>
+        <span class="n">shape</span><span class="p">,</span>
+        <span class="n">file_paths</span><span class="p">,</span>
+        <span class="n">out_file</span><span class="p">,</span>
+        <span class="n">target_masked_meta</span><span class="p">,</span>
+        <span class="n">max_workers</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Collect a dataset from a file list without getting attributes first.</span>
+<span class="sd">        This file list can be a subset of a full file list to be collected.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        feature : str</span>
+<span class="sd">            Dataset name to collect.</span>
+<span class="sd">        subset_masked_meta : pd.DataFrame</span>
+<span class="sd">            Meta data containing the list of coordinates present in both the</span>
+<span class="sd">            given file paths and the target_meta. This can be a subset of</span>
+<span class="sd">            the coordinates present in the full file list. The coordinates</span>
+<span class="sd">            contained in this dataframe have the same gids as those present in</span>
+<span class="sd">            the meta for the full file list.</span>
+<span class="sd">        time_index : pd.datetimeindex</span>
+<span class="sd">            Concatenated datetime index for the given file paths.</span>
+<span class="sd">        shape : tuple</span>
+<span class="sd">            Output (collected) dataset shape</span>
+<span class="sd">        file_paths : list | str</span>
+<span class="sd">            File list to be collected. This can be a subset of a full file list</span>
+<span class="sd">            to be collected.</span>
+<span class="sd">        out_file : str</span>
+<span class="sd">            File path of final output file.</span>
+<span class="sd">        target_masked_meta : pd.DataFrame</span>
+<span class="sd">            Same as subset_masked_meta but instead for the entire list of files</span>
+<span class="sd">            to be collected.</span>
+<span class="sd">        max_workers : int | None</span>
+<span class="sd">            Number of workers to use in parallel. 1 runs serial,</span>
+<span class="sd">            None uses all available.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">subset_masked_meta</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="n">attrs</span><span class="p">,</span> <span class="n">final_dtype</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_dset_attrs</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span>
+            <span class="n">scale_factor</span> <span class="o">=</span> <span class="n">attrs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;scale_factor&#39;</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
+
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                <span class="s1">&#39;Collecting file list of shape </span><span class="si">%s</span><span class="s1">: </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">shape</span><span class="p">,</span> <span class="n">file_paths</span>
+            <span class="p">)</span>
+
+            <span class="bp">self</span><span class="o">.</span><span class="n">data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">final_dtype</span><span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                <span class="s1">&#39;Initializing output dataset &quot;</span><span class="si">%s</span><span class="s1">&quot; in-memory with &#39;</span>
+                <span class="s1">&#39;shape </span><span class="si">%s</span><span class="s1"> and dtype </span><span class="si">%s</span><span class="s1">. </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span>
+                <span class="n">feature</span><span class="p">,</span>
+                <span class="n">shape</span><span class="p">,</span>
+                <span class="n">final_dtype</span><span class="p">,</span>
+                <span class="n">_mem_check</span><span class="p">(),</span>
+            <span class="p">)</span>
+            <span class="n">tasks</span> <span class="o">=</span> <span class="p">[]</span>
+            <span class="k">for</span> <span class="n">fname</span> <span class="ow">in</span> <span class="n">file_paths</span><span class="p">:</span>
+                <span class="n">task</span> <span class="o">=</span> <span class="n">dask</span><span class="o">.</span><span class="n">delayed</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">get_data</span><span class="p">)(</span>
+                    <span class="n">fname</span><span class="p">,</span>
+                    <span class="n">feature</span><span class="p">,</span>
+                    <span class="n">time_index</span><span class="p">,</span>
+                    <span class="n">subset_masked_meta</span><span class="p">,</span>
+                    <span class="n">scale_factor</span><span class="p">,</span>
+                    <span class="n">final_dtype</span><span class="p">,</span>
+                <span class="p">)</span>
+                <span class="n">tasks</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">task</span><span class="p">)</span>
+            <span class="k">if</span> <span class="n">max_workers</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="s1">&#39;Running serial collection on </span><span class="si">%s</span><span class="s1"> files&#39;</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">file_paths</span><span class="p">)</span>
+                <span class="p">)</span>
+                <span class="n">dask</span><span class="o">.</span><span class="n">compute</span><span class="p">(</span><span class="o">*</span><span class="n">tasks</span><span class="p">,</span> <span class="n">scheduler</span><span class="o">=</span><span class="s1">&#39;single-threaded&#39;</span><span class="p">)</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="s1">&#39;Running parallel collection on </span><span class="si">%s</span><span class="s1"> files with &#39;</span>
+                    <span class="s1">&#39;max_workers=</span><span class="si">%s</span><span class="s1">.&#39;</span><span class="p">,</span>
+                    <span class="nb">len</span><span class="p">(</span><span class="n">file_paths</span><span class="p">),</span>
+                    <span class="n">max_workers</span><span class="p">,</span>
+                <span class="p">)</span>
+                <span class="n">dask</span><span class="o">.</span><span class="n">compute</span><span class="p">(</span>
+                    <span class="o">*</span><span class="n">tasks</span><span class="p">,</span> <span class="n">scheduler</span><span class="o">=</span><span class="s1">&#39;threads&#39;</span><span class="p">,</span> <span class="n">num_workers</span><span class="o">=</span><span class="n">max_workers</span>
+                <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Finished collection of </span><span class="si">%s</span><span class="s1"> files.&#39;</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">file_paths</span><span class="p">))</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_write_flist_data</span><span class="p">(</span>
+                <span class="n">out_file</span><span class="p">,</span>
+                <span class="n">feature</span><span class="p">,</span>
+                <span class="n">time_index</span><span class="p">,</span>
+                <span class="n">subset_masked_meta</span><span class="p">,</span>
+                <span class="n">target_masked_meta</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;No target coordinates found in masked meta. Skipping &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;collection for </span><span class="si">{</span><span class="n">file_paths</span><span class="si">}</span><span class="s1">.&#39;</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+<div class="viewcode-block" id="CollectorH5.get_flist_chunks">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5.get_flist_chunks">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_flist_chunks</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_paths</span><span class="p">,</span> <span class="n">n_writes</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Group files by temporal_chunk_index and then combines these groups</span>
+<span class="sd">        if ``n_writes`` is less than the number of time_chunks. Assumes</span>
+<span class="sd">        file_paths have a suffix format like</span>
+<span class="sd">        ``_{temporal_chunk_index}_{spatial_chunk_index}.h5``</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        file_paths : list</span>
+<span class="sd">            List of file paths each with a suffix</span>
+<span class="sd">            ``_{temporal_chunk_index}_{spatial_chunk_index}.h5``</span>
+<span class="sd">        n_writes : int | None</span>
+<span class="sd">            Number of writes to use for collection</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        flist_chunks : list</span>
+<span class="sd">            List of file list chunks. Used to split collection and writing into</span>
+<span class="sd">            multiple steps.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">file_chunks</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="k">for</span> <span class="n">file</span> <span class="ow">in</span> <span class="n">file_paths</span><span class="p">:</span>
+            <span class="n">t_chunk</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_chunk_indices</span><span class="p">(</span><span class="n">file</span><span class="p">)</span>
+            <span class="n">file_chunks</span><span class="p">[</span><span class="n">t_chunk</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="o">*</span><span class="n">file_chunks</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">t_chunk</span><span class="p">,</span> <span class="p">[]),</span> <span class="n">file</span><span class="p">]</span>
+
+        <span class="k">if</span> <span class="n">n_writes</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">n_writes</span> <span class="o">&gt;</span> <span class="nb">len</span><span class="p">(</span><span class="n">file_chunks</span><span class="p">):</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;n_writes (</span><span class="si">{</span><span class="n">n_writes</span><span class="si">}</span><span class="s1">) too big, setting to the number &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;of temporal chunks (</span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">file_chunks</span><span class="p">)</span><span class="si">}</span><span class="s1">).&#39;</span>
+            <span class="p">)</span>
+            <span class="n">n_writes</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">file_chunks</span><span class="p">)</span>
+
+        <span class="n">n_writes</span> <span class="o">=</span> <span class="n">n_writes</span> <span class="ow">or</span> <span class="nb">len</span><span class="p">(</span><span class="n">file_chunks</span><span class="p">)</span>
+        <span class="n">tc_groups</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array_split</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="n">file_chunks</span><span class="o">.</span><span class="n">keys</span><span class="p">()),</span> <span class="n">n_writes</span><span class="p">)</span>
+        <span class="n">fp_groups</span> <span class="o">=</span> <span class="p">[[</span><span class="n">file_chunks</span><span class="p">[</span><span class="n">tc</span><span class="p">]</span> <span class="k">for</span> <span class="n">tc</span> <span class="ow">in</span> <span class="n">tcs</span><span class="p">]</span> <span class="k">for</span> <span class="n">tcs</span> <span class="ow">in</span> <span class="n">tc_groups</span><span class="p">]</span>
+        <span class="n">flist_chunks</span> <span class="o">=</span> <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">(</span><span class="n">group</span><span class="p">)</span> <span class="k">for</span> <span class="n">group</span> <span class="ow">in</span> <span class="n">fp_groups</span><span class="p">]</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+            <span class="s1">&#39;Split file list into </span><span class="si">%s</span><span class="s1"> chunks according to n_writes=</span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span>
+            <span class="nb">len</span><span class="p">(</span><span class="n">flist_chunks</span><span class="p">),</span>
+            <span class="n">n_writes</span><span class="p">,</span>
+        <span class="p">)</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Grouped file list into </span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">file_chunks</span><span class="p">)</span><span class="si">}</span><span class="s1"> time chunks.&#39;</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">flist_chunks</span></div>
+
+
+<div class="viewcode-block" id="CollectorH5.collect_feature">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5.collect_feature">[docs]</a>
+    <span class="k">def</span> <span class="nf">collect_feature</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">dset</span><span class="p">,</span>
+        <span class="n">target_masked_meta</span><span class="p">,</span>
+        <span class="n">target_meta_file</span><span class="p">,</span>
+        <span class="n">time_index</span><span class="p">,</span>
+        <span class="n">shape</span><span class="p">,</span>
+        <span class="n">flist_chunks</span><span class="p">,</span>
+        <span class="n">out_file</span><span class="p">,</span>
+        <span class="n">threshold</span><span class="o">=</span><span class="mf">1e-4</span><span class="p">,</span>
+        <span class="n">max_workers</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Collect chunks for single feature</span>
+
+<span class="sd">        dset : str</span>
+<span class="sd">            Dataset name to collect.</span>
+<span class="sd">        target_masked_meta : pd.DataFrame</span>
+<span class="sd">            Same as subset_masked_meta but instead for the entire list of files</span>
+<span class="sd">            to be collected.</span>
+<span class="sd">        target_meta_file : str</span>
+<span class="sd">            Path to target final meta containing coordinates to keep from the</span>
+<span class="sd">            full file list collected meta. This can be but is not necessarily a</span>
+<span class="sd">            subset of the full list of coordinates for all files in the file</span>
+<span class="sd">            list. This is used to remove coordinates from the full file list</span>
+<span class="sd">            which are not present in the target_meta. Either this full</span>
+<span class="sd">            meta or a subset, depending on which coordinates are present in</span>
+<span class="sd">            the data to be collected, will be the final meta for the collected</span>
+<span class="sd">            output files.</span>
+<span class="sd">        time_index : pd.datetimeindex</span>
+<span class="sd">            Concatenated datetime index for the given file paths.</span>
+<span class="sd">        shape : tuple</span>
+<span class="sd">            Output (collected) dataset shape</span>
+<span class="sd">        flist_chunks : list</span>
+<span class="sd">            List of file list chunks. Used to split collection and writing into</span>
+<span class="sd">            multiple steps.</span>
+<span class="sd">        out_file : str</span>
+<span class="sd">            File path of final output file.</span>
+<span class="sd">        threshold : float</span>
+<span class="sd">            Threshold distance for finding target coordinates within full meta</span>
+<span class="sd">        max_workers : int | None</span>
+<span class="sd">            Number of workers to use in parallel. 1 runs serial,</span>
+<span class="sd">            None will use all available workers.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Collecting dataset &quot;</span><span class="si">%s</span><span class="s1">&quot;.&#39;</span><span class="p">,</span> <span class="n">dset</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">flist_chunks</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_collect_flist</span><span class="p">(</span>
+                <span class="n">dset</span><span class="p">,</span>
+                <span class="n">target_masked_meta</span><span class="p">,</span>
+                <span class="n">time_index</span><span class="p">,</span>
+                <span class="n">shape</span><span class="p">,</span>
+                <span class="n">flist_chunks</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
+                <span class="n">out_file</span><span class="p">,</span>
+                <span class="n">target_masked_meta</span><span class="p">,</span>
+                <span class="n">max_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">,</span>
+            <span class="p">)</span>
+
+        <span class="k">else</span><span class="p">:</span>
+            <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">flist</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">flist_chunks</span><span class="p">):</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="s1">&#39;Collecting file list chunk </span><span class="si">%s</span><span class="s1"> out of </span><span class="si">%s</span><span class="s1"> &#39;</span><span class="p">,</span>
+                    <span class="n">i</span> <span class="o">+</span> <span class="mi">1</span><span class="p">,</span>
+                    <span class="nb">len</span><span class="p">(</span><span class="n">flist_chunks</span><span class="p">),</span>
+                <span class="p">)</span>
+                <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_collection_attrs</span><span class="p">(</span>
+                    <span class="n">flist</span><span class="p">,</span>
+                    <span class="n">max_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">,</span>
+                    <span class="n">target_meta_file</span><span class="o">=</span><span class="n">target_meta_file</span><span class="p">,</span>
+                    <span class="n">threshold</span><span class="o">=</span><span class="n">threshold</span><span class="p">,</span>
+                <span class="p">)</span>
+                <span class="n">time_index</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">masked_meta</span><span class="p">,</span> <span class="n">shape</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">out</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_collect_flist</span><span class="p">(</span>
+                    <span class="n">dset</span><span class="p">,</span>
+                    <span class="n">masked_meta</span><span class="p">,</span>
+                    <span class="n">time_index</span><span class="p">,</span>
+                    <span class="n">shape</span><span class="p">,</span>
+                    <span class="n">flist</span><span class="p">,</span>
+                    <span class="n">out_file</span><span class="p">,</span>
+                    <span class="n">target_masked_meta</span><span class="p">,</span>
+                    <span class="n">max_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">,</span>
+                <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="CollectorH5.collect">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5.collect">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">collect</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">file_paths</span><span class="p">,</span>
+        <span class="n">out_file</span><span class="p">,</span>
+        <span class="n">features</span><span class="p">,</span>
+        <span class="n">max_workers</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">log_level</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">log_file</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">target_meta_file</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">n_writes</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">overwrite</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+        <span class="n">threshold</span><span class="o">=</span><span class="mf">1e-4</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Collect data files from a dir to one output file.</span>
+
+<span class="sd">        Filename requirements:</span>
+<span class="sd">         - Should end with &quot;.h5&quot;</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        file_paths : list | str</span>
+<span class="sd">            Explicit list of str file paths that will be sorted and collected</span>
+<span class="sd">            or a single string with unix-style /search/patt*ern.h5. Files</span>
+<span class="sd">            resolved by this argument must be of the form</span>
+<span class="sd">            ``*_{temporal_chunk_index}_{spatial_chunk_index}.h5``.</span>
+<span class="sd">        out_file : str</span>
+<span class="sd">            File path of final output file.</span>
+<span class="sd">        features : list</span>
+<span class="sd">            List of dsets to collect</span>
+<span class="sd">        max_workers : int | None</span>
+<span class="sd">            Number of workers to use in parallel. 1 runs serial,</span>
+<span class="sd">            None will use all available workers.</span>
+<span class="sd">        log_level : str | None</span>
+<span class="sd">            Desired log level, None will not initialize logging.</span>
+<span class="sd">        log_file : str | None</span>
+<span class="sd">            Target log file. None logs to stdout.</span>
+<span class="sd">        write_status : bool</span>
+<span class="sd">            Flag to write status file once complete if running from pipeline.</span>
+<span class="sd">        job_name : str</span>
+<span class="sd">            Job name for status file if running from pipeline.</span>
+<span class="sd">        pipeline_step : str, optional</span>
+<span class="sd">            Name of the pipeline step being run. If ``None``, the</span>
+<span class="sd">            ``pipeline_step`` will be set to ``&quot;collect``, mimicking old reV</span>
+<span class="sd">            behavior. By default, ``None``.</span>
+<span class="sd">        target_meta_file : str</span>
+<span class="sd">            Path to target final meta containing coordinates to keep from the</span>
+<span class="sd">            full file list collected meta. This can be but is not necessarily a</span>
+<span class="sd">            subset of the full list of coordinates for all files in the file</span>
+<span class="sd">            list. This is used to remove coordinates from the full file list</span>
+<span class="sd">            which are not present in the target_meta. Either this full</span>
+<span class="sd">            meta or a subset, depending on which coordinates are present in</span>
+<span class="sd">            the data to be collected, will be the final meta for the collected</span>
+<span class="sd">            output files.</span>
+<span class="sd">        n_writes : int | None</span>
+<span class="sd">            Number of writes to split full file list into. Must be less than</span>
+<span class="sd">            or equal to the number of temporal chunks if chunks have different</span>
+<span class="sd">            time indices.</span>
+<span class="sd">        overwrite : bool</span>
+<span class="sd">            Whether to overwrite existing output file</span>
+<span class="sd">        threshold : float</span>
+<span class="sd">            Threshold distance for finding target coordinates within full meta</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;Initializing collection for file_paths=</span><span class="si">%s</span><span class="s1"> with max_workers=</span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span>
+            <span class="n">file_paths</span><span class="p">,</span>
+            <span class="n">max_workers</span><span class="p">,</span>
+        <span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">log_level</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">init_logger</span><span class="p">(</span>
+                <span class="s1">&#39;sup3r.preprocessing&#39;</span><span class="p">,</span> <span class="n">log_file</span><span class="o">=</span><span class="n">log_file</span><span class="p">,</span> <span class="n">log_level</span><span class="o">=</span><span class="n">log_level</span>
+            <span class="p">)</span>
+
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">out_file</span><span class="p">)):</span>
+            <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">out_file</span><span class="p">),</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+        <span class="n">collector</span> <span class="o">=</span> <span class="bp">cls</span><span class="p">(</span><span class="n">file_paths</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;Collecting </span><span class="si">%s</span><span class="s1"> files to </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">collector</span><span class="o">.</span><span class="n">flist</span><span class="p">),</span> <span class="n">out_file</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="n">overwrite</span> <span class="ow">and</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">out_file</span><span class="p">):</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;overwrite=True, removing </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">out_file</span><span class="p">)</span>
+            <span class="n">os</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="n">out_file</span><span class="p">)</span>
+
+        <span class="n">out</span> <span class="o">=</span> <span class="n">collector</span><span class="o">.</span><span class="n">get_collection_attrs</span><span class="p">(</span>
+            <span class="n">collector</span><span class="o">.</span><span class="n">flist</span><span class="p">,</span>
+            <span class="n">max_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">,</span>
+            <span class="n">target_meta_file</span><span class="o">=</span><span class="n">target_meta_file</span><span class="p">,</span>
+            <span class="n">threshold</span><span class="o">=</span><span class="n">threshold</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Finished building full spatiotemporal collection extent.&#39;</span><span class="p">)</span>
+        <span class="n">time_index</span><span class="p">,</span> <span class="n">target_meta</span><span class="p">,</span> <span class="n">target_masked_meta</span> <span class="o">=</span> <span class="n">out</span><span class="p">[:</span><span class="mi">3</span><span class="p">]</span>
+        <span class="n">shape</span><span class="p">,</span> <span class="n">global_attrs</span> <span class="o">=</span> <span class="n">out</span><span class="p">[</span><span class="mi">3</span><span class="p">:]</span>
+
+        <span class="n">flist_chunks</span> <span class="o">=</span> <span class="n">collector</span><span class="o">.</span><span class="n">get_flist_chunks</span><span class="p">(</span>
+            <span class="n">collector</span><span class="o">.</span><span class="n">flist</span><span class="p">,</span> <span class="n">n_writes</span><span class="o">=</span><span class="n">n_writes</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">out_file</span><span class="p">):</span>
+            <span class="n">collector</span><span class="o">.</span><span class="n">_init_h5</span><span class="p">(</span><span class="n">out_file</span><span class="p">,</span> <span class="n">time_index</span><span class="p">,</span> <span class="n">target_meta</span><span class="p">,</span> <span class="n">global_attrs</span><span class="p">)</span>
+        <span class="k">for</span> <span class="n">dset</span> <span class="ow">in</span> <span class="n">features</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Collecting dataset &quot;</span><span class="si">%s</span><span class="s1">&quot;.&#39;</span><span class="p">,</span> <span class="n">dset</span><span class="p">)</span>
+            <span class="n">collector</span><span class="o">.</span><span class="n">collect_feature</span><span class="p">(</span>
+                <span class="n">dset</span><span class="o">=</span><span class="n">dset</span><span class="p">,</span>
+                <span class="n">target_masked_meta</span><span class="o">=</span><span class="n">target_masked_meta</span><span class="p">,</span>
+                <span class="n">target_meta_file</span><span class="o">=</span><span class="n">target_meta_file</span><span class="p">,</span>
+                <span class="n">time_index</span><span class="o">=</span><span class="n">time_index</span><span class="p">,</span>
+                <span class="n">shape</span><span class="o">=</span><span class="n">shape</span><span class="p">,</span>
+                <span class="n">flist_chunks</span><span class="o">=</span><span class="n">flist_chunks</span><span class="p">,</span>
+                <span class="n">out_file</span><span class="o">=</span><span class="n">out_file</span><span class="p">,</span>
+                <span class="n">threshold</span><span class="o">=</span><span class="n">threshold</span><span class="p">,</span>
+                <span class="n">max_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Finished file collection.&#39;</span><span class="p">)</span></div>
+</div>
+
+</pre></div>
+
+                </article>
+              
+
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+  <h1>Source code for sup3r.postprocessing.collectors.nc</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;NETCDF file collection.</span>
+
+<span class="sd">TODO: Integrate this with Cacher class</span>
+<span class="sd">&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+
+<span class="kn">from</span> <span class="nn">rex.utilities.loggers</span> <span class="kn">import</span> <span class="n">init_logger</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.cachers</span> <span class="kn">import</span> <span class="n">Cacher</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.utilities</span> <span class="kn">import</span> <span class="n">xr_open_mfdataset</span>
+
+<span class="kn">from</span> <span class="nn">.base</span> <span class="kn">import</span> <span class="n">BaseCollector</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="CollectorNC">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.collectors.nc.CollectorNC.html#sup3r.postprocessing.collectors.nc.CollectorNC">[docs]</a>
+<span class="k">class</span> <span class="nc">CollectorNC</span><span class="p">(</span><span class="n">BaseCollector</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Sup3r NETCDF file collection framework&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="CollectorNC.collect">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.collectors.nc.CollectorNC.html#sup3r.postprocessing.collectors.nc.CollectorNC.collect">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">collect</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">file_paths</span><span class="p">,</span>
+        <span class="n">out_file</span><span class="p">,</span>
+        <span class="n">features</span><span class="o">=</span><span class="s1">&#39;all&#39;</span><span class="p">,</span>
+        <span class="n">log_level</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">log_file</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">overwrite</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+        <span class="n">res_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Collect data files from a dir to one output file.</span>
+
+<span class="sd">        Filename requirements:</span>
+<span class="sd">         - Should end with &quot;.nc&quot;</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        file_paths : list | str</span>
+<span class="sd">            Explicit list of str file paths that will be sorted and collected</span>
+<span class="sd">            or a single string with unix-style /search/patt*ern.nc.</span>
+<span class="sd">        out_file : str</span>
+<span class="sd">            File path of final output file.</span>
+<span class="sd">        features : list | str</span>
+<span class="sd">            List of dsets to collect. If &#39;all&#39; then all ``data_vars`` will be</span>
+<span class="sd">            collected.</span>
+<span class="sd">        log_level : str | None</span>
+<span class="sd">            Desired log level, None will not initialize logging.</span>
+<span class="sd">        log_file : str | None</span>
+<span class="sd">            Target log file. None logs to stdout.</span>
+<span class="sd">        write_status : bool</span>
+<span class="sd">            Flag to write status file once complete if running from pipeline.</span>
+<span class="sd">        job_name : str</span>
+<span class="sd">            Job name for status file if running from pipeline.</span>
+<span class="sd">        overwrite : bool</span>
+<span class="sd">            Whether to overwrite existing output file</span>
+<span class="sd">        res_kwargs : dict | None</span>
+<span class="sd">            Dictionary of kwargs to pass to xarray.open_mfdataset.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Initializing collection for file_paths=</span><span class="si">{</span><span class="n">file_paths</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">log_level</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">init_logger</span><span class="p">(</span>
+                <span class="s1">&#39;sup3r.preprocessing&#39;</span><span class="p">,</span> <span class="n">log_file</span><span class="o">=</span><span class="n">log_file</span><span class="p">,</span> <span class="n">log_level</span><span class="o">=</span><span class="n">log_level</span>
+            <span class="p">)</span>
+
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">out_file</span><span class="p">)):</span>
+            <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">out_file</span><span class="p">),</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+        <span class="n">collector</span> <span class="o">=</span> <span class="bp">cls</span><span class="p">(</span><span class="n">file_paths</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;Collecting </span><span class="si">{}</span><span class="s1"> files to </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">collector</span><span class="o">.</span><span class="n">flist</span><span class="p">),</span> <span class="n">out_file</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="n">overwrite</span> <span class="ow">and</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">out_file</span><span class="p">):</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;overwrite=True, removing </span><span class="si">{</span><span class="n">out_file</span><span class="si">}</span><span class="s1">.&#39;</span><span class="p">)</span>
+            <span class="n">os</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="n">out_file</span><span class="p">)</span>
+
+        <span class="n">tmp_file</span> <span class="o">=</span> <span class="n">out_file</span> <span class="o">+</span> <span class="s1">&#39;.tmp&#39;</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">tmp_file</span><span class="p">):</span>
+            <span class="n">res_kwargs</span> <span class="o">=</span> <span class="n">res_kwargs</span> <span class="ow">or</span> <span class="p">{}</span>
+            <span class="n">out</span> <span class="o">=</span> <span class="n">xr_open_mfdataset</span><span class="p">(</span><span class="n">collector</span><span class="o">.</span><span class="n">flist</span><span class="p">,</span> <span class="o">**</span><span class="n">res_kwargs</span><span class="p">)</span>
+            <span class="n">Cacher</span><span class="o">.</span><span class="n">write_netcdf</span><span class="p">(</span><span class="n">tmp_file</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">out</span><span class="p">,</span> <span class="n">features</span><span class="o">=</span><span class="n">features</span><span class="p">)</span>
+
+        <span class="n">os</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">tmp_file</span><span class="p">,</span> <span class="n">out_file</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Moved </span><span class="si">%s</span><span class="s1"> to </span><span class="si">%s</span><span class="s1">.&#39;</span><span class="p">,</span> <span class="n">tmp_file</span><span class="p">,</span> <span class="n">out_file</span><span class="p">)</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Finished file collection.&#39;</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="CollectorNC.group_spatial_chunks">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.collectors.nc.CollectorNC.html#sup3r.postprocessing.collectors.nc.CollectorNC.group_spatial_chunks">[docs]</a>
+    <span class="k">def</span> <span class="nf">group_spatial_chunks</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Group same spatial chunks together so each chunk has same spatial</span>
+<span class="sd">        footprint but different times&quot;&quot;&quot;</span>
+        <span class="n">chunks</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="k">for</span> <span class="n">file</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">flist</span><span class="p">:</span>
+            <span class="n">s_chunk</span> <span class="o">=</span> <span class="n">file</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;_&#39;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+            <span class="n">dirname</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">file</span><span class="p">)</span>
+            <span class="n">s_file</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">dirname</span><span class="p">,</span> <span class="sa">f</span><span class="s1">&#39;s_</span><span class="si">{</span><span class="n">s_chunk</span><span class="si">}</span><span class="s1">.nc&#39;</span><span class="p">)</span>
+            <span class="n">chunks</span><span class="p">[</span><span class="n">s_file</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="o">*</span><span class="n">chunks</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">s_file</span><span class="p">,</span> <span class="p">[]),</span> <span class="n">s_file</span><span class="p">]</span>
+        <span class="k">return</span> <span class="n">chunks</span></div>
+</div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.postprocessing.data_collect_cli</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;sup3r data collection CLI entry points.&quot;&quot;&quot;</span>
+<span class="kn">import</span> <span class="nn">copy</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+
+<span class="kn">import</span> <span class="nn">click</span>
+
+<span class="kn">from</span> <span class="nn">sup3r</span> <span class="kn">import</span> <span class="n">__version__</span>
+<span class="kn">from</span> <span class="nn">sup3r.postprocessing.collectors</span> <span class="kn">import</span> <span class="n">CollectorH5</span><span class="p">,</span> <span class="n">CollectorNC</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="n">get_source_type</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities</span> <span class="kn">import</span> <span class="n">ModuleName</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.cli</span> <span class="kn">import</span> <span class="n">AVAILABLE_HARDWARE_OPTIONS</span><span class="p">,</span> <span class="n">BaseCLI</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<span class="nd">@click</span><span class="o">.</span><span class="n">group</span><span class="p">()</span>
+<span class="nd">@click</span><span class="o">.</span><span class="n">version_option</span><span class="p">(</span><span class="n">version</span><span class="o">=</span><span class="n">__version__</span><span class="p">)</span>
+<span class="nd">@click</span><span class="o">.</span><span class="n">option</span><span class="p">(</span><span class="s1">&#39;-v&#39;</span><span class="p">,</span> <span class="s1">&#39;--verbose&#39;</span><span class="p">,</span> <span class="n">is_flag</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+              <span class="n">help</span><span class="o">=</span><span class="s1">&#39;Flag to turn on debug logging. Default is not verbose.&#39;</span><span class="p">)</span>
+<span class="nd">@click</span><span class="o">.</span><span class="n">pass_context</span>
+<span class="k">def</span> <span class="nf">main</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">verbose</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Sup3r Data Collection Command Line Interface&quot;&quot;&quot;</span>
+    <span class="n">ctx</span><span class="o">.</span><span class="n">ensure_object</span><span class="p">(</span><span class="nb">dict</span><span class="p">)</span>
+    <span class="n">ctx</span><span class="o">.</span><span class="n">obj</span><span class="p">[</span><span class="s1">&#39;VERBOSE&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">verbose</span>
+
+
+<span class="nd">@main</span><span class="o">.</span><span class="n">command</span><span class="p">()</span>
+<span class="nd">@click</span><span class="o">.</span><span class="n">option</span><span class="p">(</span><span class="s1">&#39;--config_file&#39;</span><span class="p">,</span> <span class="s1">&#39;-c&#39;</span><span class="p">,</span> <span class="n">required</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+              <span class="nb">type</span><span class="o">=</span><span class="n">click</span><span class="o">.</span><span class="n">Path</span><span class="p">(</span><span class="n">exists</span><span class="o">=</span><span class="kc">True</span><span class="p">),</span>
+              <span class="n">help</span><span class="o">=</span><span class="s1">&#39;sup3r data collection configuration json file.&#39;</span><span class="p">)</span>
+<span class="nd">@click</span><span class="o">.</span><span class="n">option</span><span class="p">(</span><span class="s1">&#39;-v&#39;</span><span class="p">,</span> <span class="s1">&#39;--verbose&#39;</span><span class="p">,</span> <span class="n">is_flag</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+              <span class="n">help</span><span class="o">=</span><span class="s1">&#39;Flag to turn on debug logging. Default is not verbose.&#39;</span><span class="p">)</span>
+<span class="nd">@click</span><span class="o">.</span><span class="n">pass_context</span>
+<span class="k">def</span> <span class="nf">from_config</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">config_file</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Run sup3r data collection from a config file. If dset_split is True this</span>
+<span class="sd">    each feature will be collected into a separate file.&quot;&quot;&quot;</span>
+    <span class="n">config</span> <span class="o">=</span> <span class="n">BaseCLI</span><span class="o">.</span><span class="n">from_config_preflight</span><span class="p">(</span><span class="n">ModuleName</span><span class="o">.</span><span class="n">DATA_COLLECT</span><span class="p">,</span> <span class="n">ctx</span><span class="p">,</span>
+                                           <span class="n">config_file</span><span class="p">,</span> <span class="n">verbose</span><span class="p">)</span>
+
+    <span class="n">dset_split</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;dset_split&#39;</span><span class="p">,</span> <span class="kc">False</span><span class="p">)</span>
+    <span class="n">exec_kwargs</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;execution_control&#39;</span><span class="p">,</span> <span class="p">{})</span>
+    <span class="n">hardware_option</span> <span class="o">=</span> <span class="n">exec_kwargs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">&#39;option&#39;</span><span class="p">,</span> <span class="s1">&#39;local&#39;</span><span class="p">)</span>
+    <span class="n">source_type</span> <span class="o">=</span> <span class="n">get_source_type</span><span class="p">(</span><span class="n">config</span><span class="p">[</span><span class="s1">&#39;file_paths&#39;</span><span class="p">])</span>
+    <span class="n">collector_types</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;h5&#39;</span><span class="p">:</span> <span class="n">CollectorH5</span><span class="p">,</span> <span class="s1">&#39;nc&#39;</span><span class="p">:</span> <span class="n">CollectorNC</span><span class="p">}</span>
+    <span class="n">Collector</span> <span class="o">=</span> <span class="n">collector_types</span><span class="p">[</span><span class="n">source_type</span><span class="p">]</span>
+
+    <span class="n">configs</span> <span class="o">=</span> <span class="p">[</span><span class="n">config</span><span class="p">]</span>
+    <span class="k">if</span> <span class="n">dset_split</span><span class="p">:</span>
+        <span class="n">configs</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">for</span> <span class="n">feature</span> <span class="ow">in</span> <span class="n">config</span><span class="p">[</span><span class="s1">&#39;features&#39;</span><span class="p">]:</span>
+            <span class="n">f_config</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">config</span><span class="p">)</span>
+            <span class="n">f_out_file</span> <span class="o">=</span> <span class="n">config</span><span class="p">[</span><span class="s1">&#39;out_file&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;.</span><span class="si">{</span><span class="n">source_type</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">,</span> <span class="sa">f</span><span class="s1">&#39;_</span><span class="si">{</span><span class="n">feature</span><span class="si">}</span><span class="s1">.</span><span class="si">{</span><span class="n">source_type</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+            <span class="n">f_job_name</span> <span class="o">=</span> <span class="n">config</span><span class="p">[</span><span class="s1">&#39;job_name&#39;</span><span class="p">]</span> <span class="o">+</span> <span class="sa">f</span><span class="s1">&#39;_</span><span class="si">{</span><span class="n">feature</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="n">f_log_file</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;log_file&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+            <span class="k">if</span> <span class="n">f_log_file</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+                <span class="n">f_log_file</span> <span class="o">=</span> <span class="n">f_log_file</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;.log&#39;</span><span class="p">,</span> <span class="sa">f</span><span class="s1">&#39;_</span><span class="si">{</span><span class="n">feature</span><span class="si">}</span><span class="s1">.log&#39;</span><span class="p">)</span>
+            <span class="n">f_config</span><span class="o">.</span><span class="n">update</span><span class="p">({</span><span class="s1">&#39;features&#39;</span><span class="p">:</span> <span class="p">[</span><span class="n">feature</span><span class="p">],</span>
+                             <span class="s1">&#39;out_file&#39;</span><span class="p">:</span> <span class="n">f_out_file</span><span class="p">,</span>
+                             <span class="s1">&#39;job_name&#39;</span><span class="p">:</span> <span class="n">f_job_name</span><span class="p">,</span>
+                             <span class="s1">&#39;log_file&#39;</span><span class="p">:</span> <span class="n">f_log_file</span><span class="p">})</span>
+
+            <span class="n">configs</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">f_config</span><span class="p">)</span>
+
+    <span class="k">for</span> <span class="n">config</span> <span class="ow">in</span> <span class="n">configs</span><span class="p">:</span>
+        <span class="n">ctx</span><span class="o">.</span><span class="n">obj</span><span class="p">[</span><span class="s1">&#39;NAME&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">config</span><span class="p">[</span><span class="s1">&#39;job_name&#39;</span><span class="p">]</span>
+        <span class="n">config</span><span class="p">[</span><span class="s1">&#39;pipeline_step&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">pipeline_step</span>
+        <span class="n">cmd</span> <span class="o">=</span> <span class="n">Collector</span><span class="o">.</span><span class="n">get_node_cmd</span><span class="p">(</span><span class="n">config</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">hardware_option</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">in</span> <span class="n">AVAILABLE_HARDWARE_OPTIONS</span><span class="p">:</span>
+            <span class="n">kickoff_slurm_job</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">cmd</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="p">,</span> <span class="o">**</span><span class="n">exec_kwargs</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">kickoff_local_job</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">cmd</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="kickoff_local_job">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.postprocessing.data_collect_cli.kickoff_local_job.html#sup3r.postprocessing.data_collect_cli.kickoff_local_job">[docs]</a>
+<span class="k">def</span> <span class="nf">kickoff_local_job</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">cmd</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Run sup3r data collection locally.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    ctx : click.pass_context</span>
+<span class="sd">        Click context object where ctx.obj is a dictionary</span>
+<span class="sd">    cmd : str</span>
+<span class="sd">        Command to be submitted in shell script. Example:</span>
+<span class="sd">            &#39;python -m sup3r.cli data_collect -c &lt;config_file&gt;&#39;</span>
+<span class="sd">    pipeline_step : str, optional</span>
+<span class="sd">        Name of the pipeline step being run. If ``None``, the</span>
+<span class="sd">        ``pipeline_step`` will be set to the ``module_name``,</span>
+<span class="sd">        mimicking old reV behavior. By default, ``None``.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">BaseCLI</span><span class="o">.</span><span class="n">kickoff_local_job</span><span class="p">(</span><span class="n">ModuleName</span><span class="o">.</span><span class="n">DATA_COLLECT</span><span class="p">,</span> <span class="n">ctx</span><span class="p">,</span> <span class="n">cmd</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="kickoff_slurm_job">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.postprocessing.data_collect_cli.kickoff_slurm_job.html#sup3r.postprocessing.data_collect_cli.kickoff_slurm_job">[docs]</a>
+<span class="k">def</span> <span class="nf">kickoff_slurm_job</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">cmd</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">alloc</span><span class="o">=</span><span class="s1">&#39;sup3r&#39;</span><span class="p">,</span>
+                      <span class="n">memory</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">walltime</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="n">feature</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+                      <span class="n">stdout_path</span><span class="o">=</span><span class="s1">&#39;./stdout/&#39;</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Run sup3r on HPC via SLURM job submission.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    ctx : click.pass_context</span>
+<span class="sd">        Click context object where ctx.obj is a dictionary</span>
+<span class="sd">    cmd : str</span>
+<span class="sd">        Command to be submitted in SLURM shell script. Example:</span>
+<span class="sd">            &#39;python -m sup3r.cli data-collect -c &lt;config_file&gt;&#39;</span>
+<span class="sd">    pipeline_step : str, optional</span>
+<span class="sd">        Name of the pipeline step being run. If ``None``, the</span>
+<span class="sd">        ``pipeline_step`` will be set to the ``module_name``,</span>
+<span class="sd">        mimicking old reV behavior. By default, ``None``.</span>
+<span class="sd">    alloc : str</span>
+<span class="sd">        HPC project (allocation) handle. Example: &#39;sup3r&#39;.</span>
+<span class="sd">    memory : int</span>
+<span class="sd">        Node memory request in GB.</span>
+<span class="sd">    walltime : float</span>
+<span class="sd">        Node walltime request in hours.</span>
+<span class="sd">    feature : str</span>
+<span class="sd">        Additional flags for SLURM job. Format is &quot;--qos=high&quot;</span>
+<span class="sd">        or &quot;--depend=[state:job_id]&quot;. Default is None.</span>
+<span class="sd">    stdout_path : str</span>
+<span class="sd">        Path to print .stdout and .stderr files.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">BaseCLI</span><span class="o">.</span><span class="n">kickoff_slurm_job</span><span class="p">(</span><span class="n">ModuleName</span><span class="o">.</span><span class="n">DATA_COLLECT</span><span class="p">,</span> <span class="n">ctx</span><span class="p">,</span> <span class="n">cmd</span><span class="p">,</span> <span class="n">alloc</span><span class="p">,</span> <span class="n">memory</span><span class="p">,</span>
+                              <span class="n">walltime</span><span class="p">,</span> <span class="n">feature</span><span class="p">,</span> <span class="n">stdout_path</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="p">)</span></div>
+
+
+
+<span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s1">&#39;__main__&#39;</span><span class="p">:</span>
+    <span class="k">try</span><span class="p">:</span>
+        <span class="n">main</span><span class="p">(</span><span class="n">obj</span><span class="o">=</span><span class="p">{})</span>
+    <span class="k">except</span> <span class="ne">Exception</span><span class="p">:</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">exception</span><span class="p">(</span><span class="s1">&#39;Error running sup3r data collection CLI&#39;</span><span class="p">)</span>
+        <span class="k">raise</span>
+</pre></div>
+
+                </article>
+              
+
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+                  
+  <h1>Source code for sup3r.postprocessing.writers.base</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Output handling</span>
+
+<span class="sd">TODO: OutputHandlers should be combined with Cacher objects.</span>
+<span class="sd">&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">re</span>
+<span class="kn">from</span> <span class="nn">abc</span> <span class="kn">import</span> <span class="n">abstractmethod</span>
+<span class="kn">from</span> <span class="nn">warnings</span> <span class="kn">import</span> <span class="n">warn</span>
+
+<span class="kn">import</span> <span class="nn">dask</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">from</span> <span class="nn">rex.outputs</span> <span class="kn">import</span> <span class="n">Outputs</span> <span class="k">as</span> <span class="n">BaseRexOutputs</span>
+<span class="kn">from</span> <span class="nn">scipy.interpolate</span> <span class="kn">import</span> <span class="n">griddata</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.derivers.utilities</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">invert_uv</span><span class="p">,</span>
+    <span class="n">parse_feature</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities</span> <span class="kn">import</span> <span class="n">VERSION_RECORD</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.utilities</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">pd_date_range</span><span class="p">,</span>
+    <span class="n">safe_serialize</span><span class="p">,</span>
+    <span class="n">xr_open_mfdataset</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+<span class="n">ATTR_DIR</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">realpath</span><span class="p">(</span><span class="vm">__file__</span><span class="p">))</span>
+<span class="n">ATTR_FP</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">ATTR_DIR</span><span class="p">,</span> <span class="s1">&#39;output_attrs.json&#39;</span><span class="p">)</span>
+<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">ATTR_FP</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+    <span class="n">OUTPUT_ATTRS</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="OutputMixin">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.writers.base.OutputMixin.html#sup3r.postprocessing.writers.base.OutputMixin">[docs]</a>
+<span class="k">class</span> <span class="nc">OutputMixin</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Methods used by various Output and Collection classes&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="OutputMixin.get_time_dim_name">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.writers.base.OutputMixin.html#sup3r.postprocessing.writers.base.OutputMixin.get_time_dim_name">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">get_time_dim_name</span><span class="p">(</span><span class="n">filepath</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the name of the time dimension in the given file</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        filepath : str</span>
+<span class="sd">            Path to the file</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        time_key : str</span>
+<span class="sd">            Name of the time dimension in the given file</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">handle</span> <span class="o">=</span> <span class="n">xr_open_mfdataset</span><span class="p">(</span><span class="n">filepath</span><span class="p">)</span>
+        <span class="n">valid_vars</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="n">handle</span><span class="o">.</span><span class="n">dims</span><span class="p">)</span>
+        <span class="n">time_key</span> <span class="o">=</span> <span class="nb">list</span><span class="p">({</span><span class="s1">&#39;time&#39;</span><span class="p">,</span> <span class="s1">&#39;Time&#39;</span><span class="p">}</span><span class="o">.</span><span class="n">intersection</span><span class="p">(</span><span class="n">valid_vars</span><span class="p">))</span>
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">time_key</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">time_key</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+        <span class="k">return</span> <span class="s1">&#39;time&#39;</span></div>
+
+
+<div class="viewcode-block" id="OutputMixin.get_dset_attrs">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.writers.base.OutputMixin.html#sup3r.postprocessing.writers.base.OutputMixin.get_dset_attrs">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">get_dset_attrs</span><span class="p">(</span><span class="n">feature</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get attrributes for output feature</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        feature : str</span>
+<span class="sd">            Name of feature to write</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        attrs : dict</span>
+<span class="sd">            Dictionary of attributes for requested dset</span>
+<span class="sd">        dtype : str</span>
+<span class="sd">            Data type for requested dset. Defaults to float32</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">feat_base_name</span> <span class="o">=</span> <span class="n">parse_feature</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span><span class="o">.</span><span class="n">basename</span>
+        <span class="k">if</span> <span class="n">feat_base_name</span> <span class="ow">in</span> <span class="n">OUTPUT_ATTRS</span><span class="p">:</span>
+            <span class="n">attrs</span> <span class="o">=</span> <span class="n">OUTPUT_ATTRS</span><span class="p">[</span><span class="n">feat_base_name</span><span class="p">]</span>
+            <span class="n">dtype</span> <span class="o">=</span> <span class="n">attrs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;dtype&#39;</span><span class="p">,</span> <span class="s1">&#39;float32&#39;</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">attrs</span> <span class="o">=</span> <span class="p">{}</span>
+            <span class="n">dtype</span> <span class="o">=</span> <span class="s1">&#39;float32&#39;</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Could not find feature &quot;</span><span class="si">{}</span><span class="s1">&quot; with base name &quot;</span><span class="si">{}</span><span class="s1">&quot; in &#39;</span>
+                <span class="s1">&#39;OUTPUT_ATTRS global variable. Writing with float32 and no &#39;</span>
+                <span class="s1">&#39;chunking.&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">feature</span><span class="p">,</span> <span class="n">feat_base_name</span><span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">attrs</span><span class="p">,</span> <span class="n">dtype</span></div>
+
+
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">_init_h5</span><span class="p">(</span><span class="n">out_file</span><span class="p">,</span> <span class="n">time_index</span><span class="p">,</span> <span class="n">meta</span><span class="p">,</span> <span class="n">global_attrs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize the output h5 file to save data to.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        out_file : str</span>
+<span class="sd">            Output file path - must not yet exist.</span>
+<span class="sd">        time_index : pd.datetimeindex</span>
+<span class="sd">            Full datetime index of final output data.</span>
+<span class="sd">        meta : pd.DataFrame</span>
+<span class="sd">            Full meta dataframe for the final output data.</span>
+<span class="sd">        global_attrs : dict</span>
+<span class="sd">            Namespace of file-global attributes for the final output data.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">with</span> <span class="n">RexOutputs</span><span class="p">(</span><span class="n">out_file</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;w-&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Initializing output file: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">out_file</span><span class="p">))</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="s1">&#39;Initializing output file with shape </span><span class="si">{}</span><span class="s1"> &#39;</span>
+                <span class="s1">&#39;and meta data:</span><span class="se">\n</span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">time_index</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">meta</span><span class="p">)),</span> <span class="n">meta</span><span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">f</span><span class="o">.</span><span class="n">time_index</span> <span class="o">=</span> <span class="n">time_index</span>
+            <span class="n">f</span><span class="o">.</span><span class="n">meta</span> <span class="o">=</span> <span class="n">meta</span>
+            <span class="n">f</span><span class="o">.</span><span class="n">run_attrs</span> <span class="o">=</span> <span class="n">global_attrs</span>
+
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">_ensure_dset_in_output</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">out_file</span><span class="p">,</span> <span class="n">dset</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Ensure that dset is initialized in out_file and initialize if not.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        out_file : str</span>
+<span class="sd">            Pre-existing H5 file output path</span>
+<span class="sd">        dset : str</span>
+<span class="sd">            Dataset name</span>
+<span class="sd">        data : Union[np.ndarray, da.core.Array] | None</span>
+<span class="sd">            Optional data to write to dataset if initializing.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">with</span> <span class="n">RexOutputs</span><span class="p">(</span><span class="n">out_file</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;a&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+            <span class="k">if</span> <span class="n">dset</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">f</span><span class="o">.</span><span class="n">dsets</span><span class="p">:</span>
+                <span class="n">attrs</span><span class="p">,</span> <span class="n">dtype</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_dset_attrs</span><span class="p">(</span><span class="n">dset</span><span class="p">)</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="s1">&#39;Initializing dataset &quot;</span><span class="si">{}</span><span class="s1">&quot; with shape </span><span class="si">{}</span><span class="s1"> and &#39;</span>
+                    <span class="s1">&#39;dtype </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">dset</span><span class="p">,</span> <span class="n">f</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span><span class="p">)</span>
+                <span class="p">)</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">_create_dset</span><span class="p">(</span>
+                    <span class="n">dset</span><span class="p">,</span>
+                    <span class="n">f</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span>
+                    <span class="n">dtype</span><span class="p">,</span>
+                    <span class="n">attrs</span><span class="o">=</span><span class="n">attrs</span><span class="p">,</span>
+                    <span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span>
+                    <span class="n">chunks</span><span class="o">=</span><span class="n">attrs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;chunks&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">),</span>
+                <span class="p">)</span>
+
+<div class="viewcode-block" id="OutputMixin.write_data">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.writers.base.OutputMixin.html#sup3r.postprocessing.writers.base.OutputMixin.write_data">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">write_data</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span> <span class="n">out_file</span><span class="p">,</span> <span class="n">dsets</span><span class="p">,</span> <span class="n">time_index</span><span class="p">,</span> <span class="n">data_list</span><span class="p">,</span> <span class="n">meta</span><span class="p">,</span> <span class="n">global_attrs</span><span class="o">=</span><span class="kc">None</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Write list of datasets to out_file.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        out_file : str</span>
+<span class="sd">            Pre-existing H5 file output path</span>
+<span class="sd">        dsets : list</span>
+<span class="sd">            list of datasets to write to out_file</span>
+<span class="sd">        time_index : pd.DatetimeIndex()</span>
+<span class="sd">            Pandas datetime index to use for file time_index.</span>
+<span class="sd">        data_list : list</span>
+<span class="sd">            List of np.ndarray objects to write to out_file</span>
+<span class="sd">        meta : pd.DataFrame</span>
+<span class="sd">            Full meta dataframe for the final output data.</span>
+<span class="sd">        global_attrs : dict</span>
+<span class="sd">            Namespace of file-global attributes for the final output data.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">tmp_file</span> <span class="o">=</span> <span class="n">out_file</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;.h5&#39;</span><span class="p">,</span> <span class="s1">&#39;.h5.tmp&#39;</span><span class="p">)</span>
+        <span class="k">with</span> <span class="n">RexOutputs</span><span class="p">(</span><span class="n">tmp_file</span><span class="p">,</span> <span class="s1">&#39;w&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">fh</span><span class="p">:</span>
+            <span class="n">fh</span><span class="o">.</span><span class="n">meta</span> <span class="o">=</span> <span class="n">meta</span>
+            <span class="n">fh</span><span class="o">.</span><span class="n">time_index</span> <span class="o">=</span> <span class="n">time_index</span>
+
+            <span class="k">for</span> <span class="n">dset</span><span class="p">,</span> <span class="n">data</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">dsets</span><span class="p">,</span> <span class="n">data_list</span><span class="p">):</span>
+                <span class="n">attrs</span><span class="p">,</span> <span class="n">dtype</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_dset_attrs</span><span class="p">(</span><span class="n">dset</span><span class="p">)</span>
+                <span class="n">fh</span><span class="o">.</span><span class="n">add_dataset</span><span class="p">(</span>
+                    <span class="n">tmp_file</span><span class="p">,</span>
+                    <span class="n">dset</span><span class="p">,</span>
+                    <span class="n">data</span><span class="p">,</span>
+                    <span class="n">dtype</span><span class="o">=</span><span class="n">dtype</span><span class="p">,</span>
+                    <span class="n">attrs</span><span class="o">=</span><span class="n">attrs</span><span class="p">,</span>
+                    <span class="n">chunks</span><span class="o">=</span><span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;chunks&#39;</span><span class="p">],</span>
+                <span class="p">)</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Added </span><span class="si">{</span><span class="n">dset</span><span class="si">}</span><span class="s1"> to output file </span><span class="si">{</span><span class="n">out_file</span><span class="si">}</span><span class="s1">.&#39;</span><span class="p">)</span>
+
+            <span class="k">if</span> <span class="n">global_attrs</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+                <span class="n">attrs</span> <span class="o">=</span> <span class="p">{</span>
+                    <span class="n">k</span><span class="p">:</span> <span class="n">v</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">v</span><span class="p">,</span> <span class="nb">str</span><span class="p">)</span> <span class="k">else</span> <span class="n">safe_serialize</span><span class="p">(</span><span class="n">v</span><span class="p">)</span>
+                    <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">global_attrs</span><span class="o">.</span><span class="n">items</span><span class="p">()</span>
+                <span class="p">}</span>
+                <span class="n">fh</span><span class="o">.</span><span class="n">run_attrs</span> <span class="o">=</span> <span class="n">attrs</span>
+
+        <span class="n">os</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">tmp_file</span><span class="p">,</span> <span class="n">out_file</span><span class="p">)</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Saved output of size &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">data_list</span><span class="p">),</span><span class="w"> </span><span class="o">*</span><span class="n">data_list</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span><span class="si">}</span><span class="s1"> to: </span><span class="si">{</span><span class="n">out_file</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="RexOutputs">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs">[docs]</a>
+<span class="k">class</span> <span class="nc">RexOutputs</span><span class="p">(</span><span class="n">BaseRexOutputs</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Base class to handle NREL h5 formatted output data&quot;&quot;&quot;</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">full_version_record</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get record of versions for dependencies</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        dict</span>
+<span class="sd">            Dictionary of package versions for dependencies</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">versions</span> <span class="o">=</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">full_version_record</span>
+        <span class="n">versions</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">VERSION_RECORD</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">versions</span>
+
+<div class="viewcode-block" id="RexOutputs.set_version_attr">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.set_version_attr">[docs]</a>
+    <span class="k">def</span> <span class="nf">set_version_attr</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Set the version attribute to the h5 file.&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">h5</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;version&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">VERSION_RECORD</span><span class="p">[</span><span class="s1">&#39;sup3r&#39;</span><span class="p">]</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">h5</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;full_version_record&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">full_version_record</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">h5</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;package&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;sup3r&#39;</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="OutputHandler">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler">[docs]</a>
+<span class="k">class</span> <span class="nc">OutputHandler</span><span class="p">(</span><span class="n">OutputMixin</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Class to handle forward pass output. This includes transforming features</span>
+<span class="sd">    back to their original form and outputting to the correct file format.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="OutputHandler.get_renamed_features">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler.get_renamed_features">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">get_renamed_features</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">features</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Rename features based on transformation from u/v to</span>
+<span class="sd">        windspeed/winddirection</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        features : list</span>
+<span class="sd">            List of output features</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        list</span>
+<span class="sd">            List of renamed features u/v -&gt; windspeed/winddirection for each</span>
+<span class="sd">            height</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">heights</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="n">parse_feature</span><span class="p">(</span><span class="n">f</span><span class="p">)</span><span class="o">.</span><span class="n">height</span>
+            <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">features</span>
+            <span class="k">if</span> <span class="n">re</span><span class="o">.</span><span class="n">match</span><span class="p">(</span><span class="s1">&#39;u_(.*?)m&#39;</span><span class="o">.</span><span class="n">lower</span><span class="p">(),</span> <span class="n">f</span><span class="o">.</span><span class="n">lower</span><span class="p">())</span>
+        <span class="p">]</span>
+        <span class="n">renamed_features</span> <span class="o">=</span> <span class="n">features</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+
+        <span class="k">for</span> <span class="n">height</span> <span class="ow">in</span> <span class="n">heights</span><span class="p">:</span>
+            <span class="n">u_idx</span> <span class="o">=</span> <span class="n">features</span><span class="o">.</span><span class="n">index</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;u_</span><span class="si">{</span><span class="n">height</span><span class="si">}</span><span class="s1">m&#39;</span><span class="p">)</span>
+            <span class="n">v_idx</span> <span class="o">=</span> <span class="n">features</span><span class="o">.</span><span class="n">index</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;v_</span><span class="si">{</span><span class="n">height</span><span class="si">}</span><span class="s1">m&#39;</span><span class="p">)</span>
+
+            <span class="n">renamed_features</span><span class="p">[</span><span class="n">u_idx</span><span class="p">]</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;windspeed_</span><span class="si">{</span><span class="n">height</span><span class="si">}</span><span class="s1">m&#39;</span>
+            <span class="n">renamed_features</span><span class="p">[</span><span class="n">v_idx</span><span class="p">]</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;winddirection_</span><span class="si">{</span><span class="n">height</span><span class="si">}</span><span class="s1">m&#39;</span>
+
+        <span class="k">return</span> <span class="n">renamed_features</span></div>
+
+
+<div class="viewcode-block" id="OutputHandler.invert_uv_features">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler.invert_uv_features">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">invert_uv_features</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">features</span><span class="p">,</span> <span class="n">lat_lon</span><span class="p">,</span> <span class="n">max_workers</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Invert U/V to windspeed and winddirection. Performed in place.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        data : ndarray</span>
+<span class="sd">            High res data from forward pass</span>
+<span class="sd">            (spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        features : list</span>
+<span class="sd">            List of output features. If this doesn&#39;t contain any names matching</span>
+<span class="sd">            u_*m, this method will do nothing.</span>
+<span class="sd">        lat_lon : ndarray</span>
+<span class="sd">            High res lat/lon array</span>
+<span class="sd">            (spatial_1, spatial_2, 2)</span>
+<span class="sd">        max_workers : int | None</span>
+<span class="sd">            Max workers to use for inverse transform. If None the maximum</span>
+<span class="sd">            possible will be used</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">heights</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="n">parse_feature</span><span class="p">(</span><span class="n">f</span><span class="p">)</span><span class="o">.</span><span class="n">height</span>
+            <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">features</span>
+            <span class="k">if</span> <span class="n">re</span><span class="o">.</span><span class="n">match</span><span class="p">(</span><span class="s1">&#39;u_(.*?)m&#39;</span><span class="o">.</span><span class="n">lower</span><span class="p">(),</span> <span class="n">f</span><span class="o">.</span><span class="n">lower</span><span class="p">())</span>
+        <span class="p">]</span>
+
+        <span class="k">if</span> <span class="n">heights</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="s1">&#39;Converting u/v to ws/wd for H5 output with max_workers=</span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span>
+                <span class="n">max_workers</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                <span class="s1">&#39;Found heights </span><span class="si">%s</span><span class="s1"> for output features </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">heights</span><span class="p">,</span> <span class="n">features</span>
+            <span class="p">)</span>
+
+        <span class="n">tasks</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">for</span> <span class="n">height</span> <span class="ow">in</span> <span class="n">heights</span><span class="p">:</span>
+            <span class="n">u_idx</span> <span class="o">=</span> <span class="n">features</span><span class="o">.</span><span class="n">index</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;u_</span><span class="si">{</span><span class="n">height</span><span class="si">}</span><span class="s1">m&#39;</span><span class="p">)</span>
+            <span class="n">v_idx</span> <span class="o">=</span> <span class="n">features</span><span class="o">.</span><span class="n">index</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;v_</span><span class="si">{</span><span class="n">height</span><span class="si">}</span><span class="s1">m&#39;</span><span class="p">)</span>
+            <span class="n">task</span> <span class="o">=</span> <span class="n">dask</span><span class="o">.</span><span class="n">delayed</span><span class="p">(</span><span class="bp">cls</span><span class="o">.</span><span class="n">invert_uv_single_pair</span><span class="p">)(</span>
+                <span class="n">data</span><span class="p">,</span> <span class="n">lat_lon</span><span class="p">,</span> <span class="n">u_idx</span><span class="p">,</span> <span class="n">v_idx</span>
+            <span class="p">)</span>
+            <span class="n">tasks</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">task</span><span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Added </span><span class="si">%s</span><span class="s1"> futures to convert u/v to ws/wd&#39;</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">tasks</span><span class="p">))</span>
+        <span class="k">if</span> <span class="n">max_workers</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">dask</span><span class="o">.</span><span class="n">compute</span><span class="p">(</span><span class="o">*</span><span class="n">tasks</span><span class="p">,</span> <span class="n">scheduler</span><span class="o">=</span><span class="s1">&#39;single-threaded&#39;</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">dask</span><span class="o">.</span><span class="n">compute</span><span class="p">(</span><span class="o">*</span><span class="n">tasks</span><span class="p">,</span> <span class="n">scheduler</span><span class="o">=</span><span class="s1">&#39;threads&#39;</span><span class="p">,</span> <span class="n">num_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Finished converting u/v to ws/wd&#39;</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="OutputHandler.invert_uv_single_pair">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler.invert_uv_single_pair">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">invert_uv_single_pair</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">lat_lon</span><span class="p">,</span> <span class="n">u_idx</span><span class="p">,</span> <span class="n">v_idx</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Perform inverse transform in place on a single u/v pair.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        data : ndarray</span>
+<span class="sd">            High res data from forward pass</span>
+<span class="sd">            (spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        lat_lon : ndarray</span>
+<span class="sd">            High res lat/lon array</span>
+<span class="sd">            (spatial_1, spatial_2, 2)</span>
+<span class="sd">        u_idx : int</span>
+<span class="sd">            Index in data for U component to transform</span>
+<span class="sd">        v_idx : int</span>
+<span class="sd">            Index in data for V component to transform</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">ws</span><span class="p">,</span> <span class="n">wd</span> <span class="o">=</span> <span class="n">invert_uv</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">u_idx</span><span class="p">],</span> <span class="n">data</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">v_idx</span><span class="p">],</span> <span class="n">lat_lon</span><span class="p">)</span>
+        <span class="n">data</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">u_idx</span><span class="p">]</span> <span class="o">=</span> <span class="n">ws</span>
+        <span class="n">data</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">v_idx</span><span class="p">]</span> <span class="o">=</span> <span class="n">wd</span></div>
+
+
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">_transform_output</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">features</span><span class="p">,</span> <span class="n">lat_lon</span><span class="p">,</span> <span class="n">invert_uv</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">max_workers</span><span class="o">=</span><span class="kc">None</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Transform output data before writing to H5 file</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        data : ndarray</span>
+<span class="sd">            (spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">            High resolution forward pass output</span>
+<span class="sd">        features : list</span>
+<span class="sd">            List of feature names corresponding to the last dimension of data</span>
+<span class="sd">        lat_lon : ndarray</span>
+<span class="sd">            Array of high res lat/lon for output data.</span>
+<span class="sd">            (spatial_1, spatial_2, 2)</span>
+<span class="sd">            Last dimension has ordering (lat, lon)</span>
+<span class="sd">        invert_uv : bool | None</span>
+<span class="sd">            Whether to convert u and v wind components to windspeed and</span>
+<span class="sd">            direction</span>
+<span class="sd">        max_workers : int | None</span>
+<span class="sd">            Max workers to use for inverse transform. If None the max_workers</span>
+<span class="sd">            will be estimated based on memory limits.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">invert_uv</span> <span class="ow">and</span> <span class="nb">any</span><span class="p">(</span>
+            <span class="n">re</span><span class="o">.</span><span class="n">match</span><span class="p">(</span><span class="s1">&#39;u_(.*?)m&#39;</span><span class="o">.</span><span class="n">lower</span><span class="p">(),</span> <span class="n">f</span><span class="o">.</span><span class="n">lower</span><span class="p">())</span>
+            <span class="ow">or</span> <span class="n">re</span><span class="o">.</span><span class="n">match</span><span class="p">(</span><span class="s1">&#39;v_(.*?)m&#39;</span><span class="o">.</span><span class="n">lower</span><span class="p">(),</span> <span class="n">f</span><span class="o">.</span><span class="n">lower</span><span class="p">())</span>
+            <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">features</span>
+        <span class="p">):</span>
+            <span class="bp">cls</span><span class="o">.</span><span class="n">invert_uv_features</span><span class="p">(</span>
+                <span class="n">data</span><span class="p">,</span> <span class="n">features</span><span class="p">,</span> <span class="n">lat_lon</span><span class="p">,</span> <span class="n">max_workers</span><span class="o">=</span><span class="n">max_workers</span>
+            <span class="p">)</span>
+            <span class="n">features</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_renamed_features</span><span class="p">(</span><span class="n">features</span><span class="p">)</span>
+        <span class="n">data</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">enforce_limits</span><span class="p">(</span><span class="n">features</span><span class="o">=</span><span class="n">features</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">data</span><span class="p">,</span> <span class="n">features</span>
+
+<div class="viewcode-block" id="OutputHandler.enforce_limits">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler.enforce_limits">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">enforce_limits</span><span class="p">(</span><span class="n">features</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Enforce physical limits for feature data</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        features : list</span>
+<span class="sd">            List of features with ordering corresponding to last channel of</span>
+<span class="sd">            data array.</span>
+<span class="sd">        data : ndarray</span>
+<span class="sd">            Array of feature data</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        data : ndarray</span>
+<span class="sd">            Array of feature data with physical limits enforced</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">maxes</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">mins</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">for</span> <span class="n">fidx</span><span class="p">,</span> <span class="n">fn</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">features</span><span class="p">):</span>
+            <span class="n">dset_name</span> <span class="o">=</span> <span class="n">parse_feature</span><span class="p">(</span><span class="n">fn</span><span class="p">)</span><span class="o">.</span><span class="n">basename</span>
+            <span class="k">if</span> <span class="n">dset_name</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">OUTPUT_ATTRS</span><span class="p">:</span>
+                <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;Could not find &quot;</span><span class="si">{</span><span class="n">dset_name</span><span class="si">}</span><span class="s1">&quot; in OUTPUT_ATTRS dict!&#39;</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="k">raise</span> <span class="ne">KeyError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+            <span class="n">max_val</span> <span class="o">=</span> <span class="n">OUTPUT_ATTRS</span><span class="p">[</span><span class="n">dset_name</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;max&#39;</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">inf</span><span class="p">)</span>
+            <span class="n">min_val</span> <span class="o">=</span> <span class="n">OUTPUT_ATTRS</span><span class="p">[</span><span class="n">dset_name</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;min&#39;</span><span class="p">,</span> <span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">inf</span><span class="p">)</span>
+            <span class="n">enforcing_msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;Enforcing range of (</span><span class="si">{</span><span class="n">min_val</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="n">max_val</span><span class="si">}</span><span class="s1"> for &quot;</span><span class="si">{</span><span class="n">fn</span><span class="si">}</span><span class="s1">&quot;)&#39;</span>
+            <span class="p">)</span>
+
+            <span class="n">f_max</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">fidx</span><span class="p">]</span><span class="o">.</span><span class="n">max</span><span class="p">()</span>
+            <span class="n">f_min</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">fidx</span><span class="p">]</span><span class="o">.</span><span class="n">min</span><span class="p">()</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">fn</span><span class="si">}</span><span class="s1"> has a max of </span><span class="si">{</span><span class="n">f_max</span><span class="si">}</span><span class="s1"> &gt; </span><span class="si">{</span><span class="n">max_val</span><span class="si">}</span><span class="s1">. </span><span class="si">{</span><span class="n">enforcing_msg</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="k">if</span> <span class="n">f_max</span> <span class="o">&gt;</span> <span class="n">max_val</span><span class="p">:</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">fn</span><span class="si">}</span><span class="s1"> has a min of </span><span class="si">{</span><span class="n">f_min</span><span class="si">}</span><span class="s1"> &lt; </span><span class="si">{</span><span class="n">min_val</span><span class="si">}</span><span class="s1">. </span><span class="si">{</span><span class="n">enforcing_msg</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="k">if</span> <span class="n">f_min</span> <span class="o">&lt;</span> <span class="n">min_val</span><span class="p">:</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">maxes</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">max_val</span><span class="p">)</span>
+            <span class="n">mins</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">min_val</span><span class="p">)</span>
+
+        <span class="n">data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">maximum</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">mins</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">minimum</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">maxes</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="OutputHandler.pad_lat_lon">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler.pad_lat_lon">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">pad_lat_lon</span><span class="p">(</span><span class="n">lat_lon</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Pad lat lon grid with additional rows and columns to use for</span>
+<span class="sd">        interpolation routine</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        lat_lon : ndarray</span>
+<span class="sd">            Array of lat/lon for input data.</span>
+<span class="sd">            (spatial_1, spatial_2, 2)</span>
+<span class="sd">            Last dimension has ordering (lat, lon)</span>
+<span class="sd">        shape : tuple</span>
+<span class="sd">            (lons, lats) Shape of high res grid</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        lat_lon : ndarray</span>
+<span class="sd">            Array of padded lat lons</span>
+<span class="sd">            (spatial_1, spatial_2, 2)</span>
+<span class="sd">            Last dimension has ordering (lat, lon)</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="c1"># add row and column to boundaries</span>
+        <span class="n">padded_grid</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="mi">2</span> <span class="o">+</span> <span class="n">lat_lon</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">2</span> <span class="o">+</span> <span class="n">lat_lon</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">2</span><span class="p">))</span>
+
+        <span class="c1"># fill in interior values</span>
+        <span class="n">padded_grid</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="p">:]</span> <span class="o">=</span> <span class="n">lat_lon</span>
+
+        <span class="c1"># define edge spacing</span>
+        <span class="n">left_diffs</span> <span class="o">=</span> <span class="n">padded_grid</span><span class="p">[:,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">padded_grid</span><span class="p">[:,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span>
+        <span class="n">right_diffs</span> <span class="o">=</span> <span class="n">padded_grid</span><span class="p">[:,</span> <span class="o">-</span><span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">padded_grid</span><span class="p">[:,</span> <span class="o">-</span><span class="mi">3</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span>
+        <span class="n">top_diffs</span> <span class="o">=</span> <span class="n">padded_grid</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">padded_grid</span><span class="p">[</span><span class="mi">2</span><span class="p">,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">]</span>
+        <span class="n">bottom_diffs</span> <span class="o">=</span> <span class="n">padded_grid</span><span class="p">[</span><span class="o">-</span><span class="mi">3</span><span class="p">,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">padded_grid</span><span class="p">[</span><span class="o">-</span><span class="mi">2</span><span class="p">,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">]</span>
+
+        <span class="c1"># use edge spacing to define new boundary values</span>
+        <span class="n">padded_grid</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="n">padded_grid</span><span class="p">[:,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">left_diffs</span>
+        <span class="n">padded_grid</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="n">padded_grid</span><span class="p">[:,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span>
+        <span class="n">padded_grid</span><span class="p">[:,</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="n">padded_grid</span><span class="p">[:,</span> <span class="o">-</span><span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">right_diffs</span>
+        <span class="n">padded_grid</span><span class="p">[:,</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="n">padded_grid</span><span class="p">[:,</span> <span class="o">-</span><span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span>
+        <span class="n">padded_grid</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="n">padded_grid</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="n">top_diffs</span>
+        <span class="n">padded_grid</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="n">padded_grid</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">]</span>
+        <span class="n">padded_grid</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="n">padded_grid</span><span class="p">[</span><span class="o">-</span><span class="mi">2</span><span class="p">,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">bottom_diffs</span>
+        <span class="n">padded_grid</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="n">padded_grid</span><span class="p">[</span><span class="o">-</span><span class="mi">2</span><span class="p">,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">]</span>
+
+        <span class="c1"># use surrounding cells to define corner values</span>
+        <span class="c1"># top left</span>
+        <span class="n">padded_grid</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="n">padded_grid</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span>
+        <span class="n">padded_grid</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="n">padded_grid</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span>
+        <span class="c1"># top right</span>
+        <span class="n">padded_grid</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="n">padded_grid</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="o">-</span><span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span>
+        <span class="n">padded_grid</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="n">padded_grid</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span>
+        <span class="c1"># bottom left</span>
+        <span class="n">padded_grid</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="n">padded_grid</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span>
+        <span class="n">padded_grid</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="n">padded_grid</span><span class="p">[</span><span class="o">-</span><span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span>
+        <span class="c1"># bottom right</span>
+        <span class="n">padded_grid</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="n">padded_grid</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="o">-</span><span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span>
+        <span class="n">padded_grid</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="n">padded_grid</span><span class="p">[</span><span class="o">-</span><span class="mi">2</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span>
+
+        <span class="k">return</span> <span class="n">padded_grid</span></div>
+
+
+<div class="viewcode-block" id="OutputHandler.is_increasing_lons">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler.is_increasing_lons">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">is_increasing_lons</span><span class="p">(</span><span class="n">lat_lon</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if longitudes are in increasing order. Need to check this</span>
+<span class="sd">        for interpolation routine. This is primarily to identify whether the</span>
+<span class="sd">        lons go through the 180 -&gt; -180 boundary, which creates a</span>
+<span class="sd">        discontinuity. For example, [130, 180, -130, -80]. If any lons go from</span>
+<span class="sd">        positive to negative the lons need to be shifted to the range 0-360.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        lat_lon : ndarray</span>
+<span class="sd">            Array of lat/lon for input data.</span>
+<span class="sd">            (spatial_1, spatial_2, 2)</span>
+<span class="sd">            Last dimension has ordering (lat, lon)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        bool</span>
+<span class="sd">            Whether all lons are in increasing order or not</span>
+
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">lat_lon</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]):</span>
+            <span class="k">if</span> <span class="n">lat_lon</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">][</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">&lt;</span> <span class="n">lat_lon</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">][</span><span class="mi">0</span><span class="p">]:</span>
+                <span class="k">return</span> <span class="kc">False</span>
+        <span class="k">return</span> <span class="kc">True</span></div>
+
+
+<div class="viewcode-block" id="OutputHandler.get_lat_lon">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler.get_lat_lon">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">get_lat_lon</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">low_res_lat_lon</span><span class="p">,</span> <span class="n">shape</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get lat lon arrays for high res output file</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        low_res_lat_lon : ndarray</span>
+<span class="sd">            Array of lat/lon for input data. Longitudes must be arranged in</span>
+<span class="sd">            a counter-clockwise direction (when looking down from above the</span>
+<span class="sd">            north pole). e.g. [-50, -25, 25, 50] or [130, 180, -130, -80]. The</span>
+<span class="sd">            latter passes through the 180 -&gt; -180 boundary and will be</span>
+<span class="sd">            temporarily shifted to the 0-360 range before interpolation.</span>
+<span class="sd">            (spatial_1, spatial_2, 2)</span>
+<span class="sd">            Last dimension has ordering (lat, lon)</span>
+<span class="sd">        shape : tuple</span>
+<span class="sd">            (lons, lats) Shape of high res grid</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        lat_lon : ndarray</span>
+<span class="sd">            Array of lat lons for high res output file</span>
+<span class="sd">            (spatial_1, spatial_2, 2)</span>
+<span class="sd">            Last dimension has ordering (lat, lon)</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Getting high resolution lat / lon grid&#39;</span><span class="p">)</span>
+
+        <span class="c1"># ensure lons are between -180 and 180</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Ensuring correct longitude range.&#39;</span><span class="p">)</span>
+        <span class="n">low_res_lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">low_res_lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mi">180</span><span class="p">)</span> <span class="o">%</span> <span class="mi">360</span> <span class="o">-</span> <span class="mi">180</span>
+
+        <span class="c1"># check if lons go through the 180 -&gt; -180 boundary.</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="bp">cls</span><span class="o">.</span><span class="n">is_increasing_lons</span><span class="p">(</span><span class="n">low_res_lat_lon</span><span class="p">):</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Ensuring increasing longitudes.&#39;</span><span class="p">)</span>
+            <span class="n">low_res_lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">low_res_lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mi">360</span><span class="p">)</span> <span class="o">%</span> <span class="mi">360</span>
+
+        <span class="c1"># pad lat lon grid</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Padding low-res lat / lon grid.&#39;</span><span class="p">)</span>
+        <span class="n">padded_grid</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">pad_lat_lon</span><span class="p">(</span><span class="n">low_res_lat_lon</span><span class="p">)</span>
+        <span class="n">lats</span> <span class="o">=</span> <span class="n">padded_grid</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">flatten</span><span class="p">()</span>
+        <span class="n">lons</span> <span class="o">=</span> <span class="n">padded_grid</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">flatten</span><span class="p">()</span>
+
+        <span class="n">lr_y</span><span class="p">,</span> <span class="n">lr_x</span> <span class="o">=</span> <span class="n">low_res_lat_lon</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+        <span class="n">hr_y</span><span class="p">,</span> <span class="n">hr_x</span> <span class="o">=</span> <span class="n">shape</span>
+
+        <span class="c1"># assume outer bounds of mesh (0, 10) w/ points on inside of that range</span>
+        <span class="n">y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">10</span> <span class="o">/</span> <span class="n">lr_y</span><span class="p">)</span> <span class="o">+</span> <span class="mi">5</span> <span class="o">/</span> <span class="n">lr_y</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">10</span> <span class="o">/</span> <span class="n">lr_x</span><span class="p">)</span> <span class="o">+</span> <span class="mi">5</span> <span class="o">/</span> <span class="n">lr_x</span>
+
+        <span class="c1"># add values due to padding</span>
+        <span class="n">y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">([[</span><span class="n">y</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="mi">10</span> <span class="o">/</span> <span class="n">lr_y</span><span class="p">],</span> <span class="n">y</span><span class="p">,</span> <span class="p">[</span><span class="n">y</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mi">10</span> <span class="o">/</span> <span class="n">lr_y</span><span class="p">]])</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">([[</span><span class="n">x</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="mi">10</span> <span class="o">/</span> <span class="n">lr_x</span><span class="p">],</span> <span class="n">x</span><span class="p">,</span> <span class="p">[</span><span class="n">x</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mi">10</span> <span class="o">/</span> <span class="n">lr_x</span><span class="p">]])</span>
+
+        <span class="c1"># remesh (0, 10) with high res spacing</span>
+        <span class="n">new_y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">10</span> <span class="o">/</span> <span class="n">hr_y</span><span class="p">)</span> <span class="o">+</span> <span class="mi">5</span> <span class="o">/</span> <span class="n">hr_y</span>
+        <span class="n">new_x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">10</span> <span class="o">/</span> <span class="n">hr_x</span><span class="p">)</span> <span class="o">+</span> <span class="mi">5</span> <span class="o">/</span> <span class="n">hr_x</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Running meshgrid.&#39;</span><span class="p">)</span>
+        <span class="n">X</span><span class="p">,</span> <span class="n">Y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">meshgrid</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span>
+        <span class="n">old</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">Y</span><span class="o">.</span><span class="n">flatten</span><span class="p">(),</span> <span class="n">X</span><span class="o">.</span><span class="n">flatten</span><span class="p">()])</span><span class="o">.</span><span class="n">T</span>
+        <span class="n">X</span><span class="p">,</span> <span class="n">Y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">meshgrid</span><span class="p">(</span><span class="n">new_x</span><span class="p">,</span> <span class="n">new_y</span><span class="p">)</span>
+        <span class="n">new</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">Y</span><span class="o">.</span><span class="n">flatten</span><span class="p">(),</span> <span class="n">X</span><span class="o">.</span><span class="n">flatten</span><span class="p">()])</span><span class="o">.</span><span class="n">T</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Running griddata.&#39;</span><span class="p">)</span>
+        <span class="n">lons</span> <span class="o">=</span> <span class="n">griddata</span><span class="p">(</span><span class="n">old</span><span class="p">,</span> <span class="n">lons</span><span class="p">,</span> <span class="n">new</span><span class="p">)</span>
+        <span class="n">lats</span> <span class="o">=</span> <span class="n">griddata</span><span class="p">(</span><span class="n">old</span><span class="p">,</span> <span class="n">lats</span><span class="p">,</span> <span class="n">new</span><span class="p">)</span>
+
+        <span class="n">lons</span> <span class="o">=</span> <span class="p">(</span><span class="n">lons</span> <span class="o">+</span> <span class="mi">180</span><span class="p">)</span> <span class="o">%</span> <span class="mi">360</span> <span class="o">-</span> <span class="mi">180</span>
+        <span class="n">lat_lon</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">dstack</span><span class="p">((</span><span class="n">lats</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">shape</span><span class="p">),</span> <span class="n">lons</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">shape</span><span class="p">)))</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Finished getting high resolution lat / lon grid&#39;</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">lat_lon</span></div>
+
+
+<div class="viewcode-block" id="OutputHandler.get_times">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler.get_times">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">get_times</span><span class="p">(</span><span class="n">low_res_times</span><span class="p">,</span> <span class="n">shape</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get array of times for high res output file</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        low_res_times : pd.Datetimeindex</span>
+<span class="sd">            List of times for low res input data. If there is only a single low</span>
+<span class="sd">            res timestep, it is assumed the data is daily.</span>
+<span class="sd">        shape : int</span>
+<span class="sd">            Number of time steps for high res time array</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        ndarray</span>
+<span class="sd">            Array of times for high res output file.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Getting high resolution time indices&#39;</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Low res times: </span><span class="si">{</span><span class="n">low_res_times</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="si">}</span><span class="s1"> to &#39;</span> <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">low_res_times</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+        <span class="n">t_enhance</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">shape</span> <span class="o">/</span> <span class="nb">len</span><span class="p">(</span><span class="n">low_res_times</span><span class="p">))</span>
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">low_res_times</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">offset</span> <span class="o">=</span> <span class="n">low_res_times</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">low_res_times</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">offset</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">timedelta64</span><span class="p">(</span><span class="mi">24</span><span class="p">,</span> <span class="s1">&#39;h&#39;</span><span class="p">)</span>
+
+        <span class="n">freq</span> <span class="o">=</span> <span class="n">offset</span> <span class="o">/</span> <span class="n">np</span><span class="o">.</span><span class="n">timedelta64</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="s1">&#39;s&#39;</span><span class="p">)</span>
+        <span class="n">freq</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="mi">60</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">freq</span> <span class="o">/</span> <span class="mi">60</span><span class="p">)</span> <span class="o">/</span> <span class="n">t_enhance</span><span class="p">)</span>
+        <span class="n">times</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="n">low_res_times</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="n">i</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">timedelta64</span><span class="p">(</span><span class="n">freq</span><span class="p">,</span> <span class="s1">&#39;s&#39;</span><span class="p">)</span>
+            <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">shape</span><span class="p">)</span>
+        <span class="p">]</span>
+        <span class="n">freq</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">tseries</span><span class="o">.</span><span class="n">offsets</span><span class="o">.</span><span class="n">DateOffset</span><span class="p">(</span><span class="n">seconds</span><span class="o">=</span><span class="n">freq</span><span class="p">)</span>
+        <span class="n">times</span> <span class="o">=</span> <span class="n">pd_date_range</span><span class="p">(</span><span class="n">times</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">times</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">freq</span><span class="o">=</span><span class="n">freq</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;High res times: </span><span class="si">{</span><span class="n">times</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="si">}</span><span class="s1"> to </span><span class="si">{</span><span class="n">times</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">times</span></div>
+
+
+    <span class="nd">@classmethod</span>
+    <span class="nd">@abstractmethod</span>
+    <span class="k">def</span> <span class="nf">_write_output</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">data</span><span class="p">,</span>
+        <span class="n">features</span><span class="p">,</span>
+        <span class="n">lat_lon</span><span class="p">,</span>
+        <span class="n">times</span><span class="p">,</span>
+        <span class="n">out_file</span><span class="p">,</span>
+        <span class="n">meta_data</span><span class="p">,</span>
+        <span class="n">invert_uv</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+        <span class="n">max_workers</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">gids</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Write output to file with specified times and lats/lons&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="OutputHandler.write_output">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler.write_output">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">write_output</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">data</span><span class="p">,</span>
+        <span class="n">features</span><span class="p">,</span>
+        <span class="n">low_res_lat_lon</span><span class="p">,</span>
+        <span class="n">low_res_times</span><span class="p">,</span>
+        <span class="n">out_file</span><span class="p">,</span>
+        <span class="n">meta_data</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">invert_uv</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">max_workers</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">gids</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Write forward pass output to file</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        data : ndarray</span>
+<span class="sd">            (spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">            High resolution forward pass output</span>
+<span class="sd">        features : list</span>
+<span class="sd">            List of feature names corresponding to the last dimension of data</span>
+<span class="sd">        low_res_lat_lon : ndarray</span>
+<span class="sd">            Array of lat/lon for input data. (spatial_1, spatial_2, 2)</span>
+<span class="sd">            Last dimension has ordering (lat, lon)</span>
+<span class="sd">        low_res_times : pd.Datetimeindex</span>
+<span class="sd">            List of times for low res source data</span>
+<span class="sd">        out_file : string</span>
+<span class="sd">            Output file path</span>
+<span class="sd">        meta_data : dict | None</span>
+<span class="sd">            Dictionary of meta data from model</span>
+<span class="sd">        invert_uv : bool | None</span>
+<span class="sd">            Whether to convert u and v wind components to windspeed and</span>
+<span class="sd">            direction</span>
+<span class="sd">        max_workers : int | None</span>
+<span class="sd">            Max workers to use for inverse uv transform. If None the</span>
+<span class="sd">            max_workers will be estimated based on memory limits.</span>
+<span class="sd">        gids : list</span>
+<span class="sd">            List of coordinate indices used to label each lat lon pair and to</span>
+<span class="sd">            help with spatial chunk data collection</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">lat_lon</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_lat_lon</span><span class="p">(</span><span class="n">low_res_lat_lon</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="mi">2</span><span class="p">])</span>
+        <span class="n">times</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_times</span><span class="p">(</span><span class="n">low_res_times</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">2</span><span class="p">])</span>
+        <span class="bp">cls</span><span class="o">.</span><span class="n">_write_output</span><span class="p">(</span>
+            <span class="n">data</span><span class="p">,</span>
+            <span class="n">features</span><span class="p">,</span>
+            <span class="n">lat_lon</span><span class="p">,</span>
+            <span class="n">times</span><span class="p">,</span>
+            <span class="n">out_file</span><span class="p">,</span>
+            <span class="n">meta_data</span><span class="o">=</span><span class="n">meta_data</span><span class="p">,</span>
+            <span class="n">invert_uv</span><span class="o">=</span><span class="n">invert_uv</span><span class="p">,</span>
+            <span class="n">max_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">,</span>
+            <span class="n">gids</span><span class="o">=</span><span class="n">gids</span><span class="p">,</span>
+        <span class="p">)</span></div>
+</div>
+
+</pre></div>
+
+                </article>
+              
+
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+  <h1>Source code for sup3r.postprocessing.writers.h5</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Output handling</span>
+
+<span class="sd">TODO: Remove redundant code re. Cachers</span>
+<span class="sd">&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+
+<span class="kn">from</span> <span class="nn">.base</span> <span class="kn">import</span> <span class="n">OutputHandler</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="OutputHandlerH5">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.writers.h5.OutputHandlerH5.html#sup3r.postprocessing.writers.h5.OutputHandlerH5">[docs]</a>
+<span class="k">class</span> <span class="nc">OutputHandlerH5</span><span class="p">(</span><span class="n">OutputHandler</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Class to handle writing output to H5 file&quot;&quot;&quot;</span>
+
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">_write_output</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">data</span><span class="p">,</span>
+        <span class="n">features</span><span class="p">,</span>
+        <span class="n">lat_lon</span><span class="p">,</span>
+        <span class="n">times</span><span class="p">,</span>
+        <span class="n">out_file</span><span class="p">,</span>
+        <span class="n">meta_data</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">invert_uv</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">max_workers</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">gids</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Write forward pass output to H5 file</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        data : ndarray</span>
+<span class="sd">            (spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">            High resolution forward pass output</span>
+<span class="sd">        features : list</span>
+<span class="sd">            List of feature names corresponding to the last dimension of data</span>
+<span class="sd">        lat_lon : ndarray</span>
+<span class="sd">            Array of high res lat/lon for output data.</span>
+<span class="sd">            (spatial_1, spatial_2, 2)</span>
+<span class="sd">            Last dimension has ordering (lat, lon)</span>
+<span class="sd">        times : pd.Datetimeindex</span>
+<span class="sd">            List of times for high res output data</span>
+<span class="sd">        out_file : string</span>
+<span class="sd">            Output file path</span>
+<span class="sd">        meta_data : dict | None</span>
+<span class="sd">            Dictionary of meta data from model</span>
+<span class="sd">        invert_uv : bool | None</span>
+<span class="sd">            Whether to convert u and v wind components to windspeed and</span>
+<span class="sd">            direction</span>
+<span class="sd">        max_workers : int | None</span>
+<span class="sd">            Max workers to use for inverse transform.</span>
+<span class="sd">        gids : list</span>
+<span class="sd">            List of coordinate indices used to label each lat lon pair and to</span>
+<span class="sd">            help with spatial chunk data collection</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Output data shape (</span><span class="si">{</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">) and lat_lon shape &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;(</span><span class="si">{</span><span class="n">lat_lon</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">) conflict.&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="mi">2</span><span class="p">]</span> <span class="o">==</span> <span class="n">lat_lon</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">msg</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Output data shape (</span><span class="si">{</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">) and times shape &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;(</span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">times</span><span class="p">)</span><span class="si">}</span><span class="s1">) conflict.&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">2</span><span class="p">]</span> <span class="o">==</span> <span class="nb">len</span><span class="p">(</span><span class="n">times</span><span class="p">),</span> <span class="n">msg</span>
+        <span class="n">invert_uv</span> <span class="o">=</span> <span class="kc">True</span> <span class="k">if</span> <span class="n">invert_uv</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">invert_uv</span>
+        <span class="n">data</span><span class="p">,</span> <span class="n">features</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">_transform_output</span><span class="p">(</span>
+            <span class="n">data</span><span class="o">.</span><span class="n">copy</span><span class="p">(),</span>
+            <span class="n">features</span><span class="p">,</span>
+            <span class="n">lat_lon</span><span class="p">,</span>
+            <span class="n">max_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">,</span>
+            <span class="n">invert_uv</span><span class="o">=</span><span class="n">invert_uv</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="n">gids</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">gids</span>
+            <span class="k">if</span> <span class="n">gids</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+            <span class="k">else</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="n">lat_lon</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]))</span>
+        <span class="p">)</span>
+        <span class="n">meta</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span>
+            <span class="p">{</span>
+                <span class="s1">&#39;gid&#39;</span><span class="p">:</span> <span class="n">gids</span><span class="o">.</span><span class="n">flatten</span><span class="p">(),</span>
+                <span class="s1">&#39;latitude&#39;</span><span class="p">:</span> <span class="n">lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">flatten</span><span class="p">(),</span>
+                <span class="s1">&#39;longitude&#39;</span><span class="p">:</span> <span class="n">lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">flatten</span><span class="p">(),</span>
+            <span class="p">}</span>
+        <span class="p">)</span>
+        <span class="n">data_list</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">features</span><span class="p">):</span>
+            <span class="n">flat_data</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">times</span><span class="p">)))</span>
+            <span class="n">flat_data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">flat_data</span><span class="p">,</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</span>
+            <span class="n">data_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">flat_data</span><span class="p">)</span>
+        <span class="bp">cls</span><span class="o">.</span><span class="n">write_data</span><span class="p">(</span><span class="n">out_file</span><span class="p">,</span> <span class="n">features</span><span class="p">,</span> <span class="n">times</span><span class="p">,</span> <span class="n">data_list</span><span class="p">,</span> <span class="n">meta</span><span class="p">,</span> <span class="n">meta_data</span><span class="p">)</span></div>
+
+</pre></div>
+
+                </article>
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diff --git a/_modules/sup3r/postprocessing/writers/nc.html b/_modules/sup3r/postprocessing/writers/nc.html
new file mode 100644
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+  <h1>Source code for sup3r.postprocessing.writers.nc</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Output handling&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">from</span> <span class="nn">datetime</span> <span class="kn">import</span> <span class="n">datetime</span> <span class="k">as</span> <span class="n">dt</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">xarray</span> <span class="k">as</span> <span class="nn">xr</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.cachers</span> <span class="kn">import</span> <span class="n">Cacher</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.names</span> <span class="kn">import</span> <span class="n">Dimension</span>
+
+<span class="kn">from</span> <span class="nn">.base</span> <span class="kn">import</span> <span class="n">OutputHandler</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="OutputHandlerNC">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.postprocessing.writers.nc.OutputHandlerNC.html#sup3r.postprocessing.writers.nc.OutputHandlerNC">[docs]</a>
+<span class="k">class</span> <span class="nc">OutputHandlerNC</span><span class="p">(</span><span class="n">OutputHandler</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Forward pass OutputHandler for NETCDF files&quot;&quot;&quot;</span>
+
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">_write_output</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">data</span><span class="p">,</span>
+        <span class="n">features</span><span class="p">,</span>
+        <span class="n">lat_lon</span><span class="p">,</span>
+        <span class="n">times</span><span class="p">,</span>
+        <span class="n">out_file</span><span class="p">,</span>
+        <span class="n">meta_data</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">max_workers</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">invert_uv</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">gids</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Write forward pass output to NETCDF file</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        data : ndarray</span>
+<span class="sd">            (spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">            High resolution forward pass output</span>
+<span class="sd">        features : list</span>
+<span class="sd">            List of feature names corresponding to the last dimension of data</span>
+<span class="sd">        lat_lon : ndarray</span>
+<span class="sd">            Array of high res lat/lon for output data.</span>
+<span class="sd">            (spatial_1, spatial_2, 2)</span>
+<span class="sd">            Last dimension has ordering (lat, lon)</span>
+<span class="sd">        times : pd.Datetimeindex</span>
+<span class="sd">            List of times for high res output data</span>
+<span class="sd">        out_file : string</span>
+<span class="sd">            Output file path</span>
+<span class="sd">        meta_data : dict | None</span>
+<span class="sd">            Dictionary of meta data from model</span>
+<span class="sd">        max_workers : int | None</span>
+<span class="sd">            Max workers to use for inverse transform.</span>
+<span class="sd">        invert_uv : bool | None</span>
+<span class="sd">            Whether to convert u and v wind components to windspeed and</span>
+<span class="sd">            direction</span>
+<span class="sd">        gids : list</span>
+<span class="sd">            List of coordinate indices used to label each lat lon pair and to</span>
+<span class="sd">            help with spatial chunk data collection</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">invert_uv</span> <span class="o">=</span> <span class="kc">False</span> <span class="k">if</span> <span class="n">invert_uv</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">invert_uv</span>
+        <span class="n">data</span><span class="p">,</span> <span class="n">features</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">_transform_output</span><span class="p">(</span>
+            <span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span>
+            <span class="n">features</span><span class="o">=</span><span class="n">features</span><span class="p">,</span>
+            <span class="n">lat_lon</span><span class="o">=</span><span class="n">lat_lon</span><span class="p">,</span>
+            <span class="n">invert_uv</span><span class="o">=</span><span class="n">invert_uv</span><span class="p">,</span>
+            <span class="n">max_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">,</span>
+        <span class="p">)</span>
+
+        <span class="n">coords</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">:</span> <span class="n">times</span><span class="p">,</span>
+            <span class="n">Dimension</span><span class="o">.</span><span class="n">LATITUDE</span><span class="p">:</span> <span class="p">(</span><span class="n">Dimension</span><span class="o">.</span><span class="n">dims_2d</span><span class="p">(),</span> <span class="n">lat_lon</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">]),</span>
+            <span class="n">Dimension</span><span class="o">.</span><span class="n">LONGITUDE</span><span class="p">:</span> <span class="p">(</span><span class="n">Dimension</span><span class="o">.</span><span class="n">dims_2d</span><span class="p">(),</span> <span class="n">lat_lon</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">]),</span>
+        <span class="p">}</span>
+        <span class="n">data_vars</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="k">if</span> <span class="n">gids</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">data_vars</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;gids&#39;</span><span class="p">:</span> <span class="p">(</span><span class="n">Dimension</span><span class="o">.</span><span class="n">dims_2d</span><span class="p">(),</span> <span class="n">gids</span><span class="p">)}</span>
+        <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">f</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">features</span><span class="p">):</span>
+            <span class="n">data_vars</span><span class="p">[</span><span class="n">f</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="p">(</span><span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">,</span> <span class="o">*</span><span class="n">Dimension</span><span class="o">.</span><span class="n">dims_2d</span><span class="p">()),</span>
+                <span class="n">np</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">i</span><span class="p">],</span> <span class="n">axes</span><span class="o">=</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)),</span>
+            <span class="p">)</span>
+
+        <span class="n">attrs</span> <span class="o">=</span> <span class="n">meta_data</span> <span class="ow">or</span> <span class="p">{}</span>
+        <span class="n">now</span> <span class="o">=</span> <span class="n">dt</span><span class="o">.</span><span class="n">utcnow</span><span class="p">()</span><span class="o">.</span><span class="n">isoformat</span><span class="p">()</span>
+        <span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;date_modified&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">now</span>
+        <span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;date_created&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">attrs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;date_created&#39;</span><span class="p">,</span> <span class="n">now</span><span class="p">)</span>
+
+        <span class="n">ds</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">(</span><span class="n">data_vars</span><span class="o">=</span><span class="n">data_vars</span><span class="p">,</span> <span class="n">coords</span><span class="o">=</span><span class="n">coords</span><span class="p">,</span> <span class="n">attrs</span><span class="o">=</span><span class="n">attrs</span><span class="p">)</span>
+        <span class="n">Cacher</span><span class="o">.</span><span class="n">write_netcdf</span><span class="p">(</span>
+            <span class="n">out_file</span><span class="o">=</span><span class="n">out_file</span><span class="p">,</span>
+            <span class="n">data</span><span class="o">=</span><span class="n">ds</span><span class="p">,</span>
+            <span class="n">features</span><span class="o">=</span><span class="n">features</span><span class="p">,</span>
+            <span class="n">max_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">,</span>
+        <span class="p">)</span></div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.preprocessing.accessor</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Accessor for xarray. This defines the basic data object contained by all</span>
+<span class="sd">``Container`` objects.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">Union</span>
+<span class="kn">from</span> <span class="nn">warnings</span> <span class="kn">import</span> <span class="n">warn</span>
+
+<span class="kn">import</span> <span class="nn">dask.array</span> <span class="k">as</span> <span class="nn">da</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">xarray</span> <span class="k">as</span> <span class="nn">xr</span>
+<span class="kn">from</span> <span class="nn">scipy.stats</span> <span class="kn">import</span> <span class="n">mode</span>
+<span class="kn">from</span> <span class="nn">typing_extensions</span> <span class="kn">import</span> <span class="n">Self</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.names</span> <span class="kn">import</span> <span class="n">Dimension</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">_lowered</span><span class="p">,</span>
+    <span class="n">_mem_check</span><span class="p">,</span>
+    <span class="n">compute_if_dask</span><span class="p">,</span>
+    <span class="n">dims_array_tuple</span><span class="p">,</span>
+    <span class="n">is_type_of</span><span class="p">,</span>
+    <span class="n">ordered_array</span><span class="p">,</span>
+    <span class="n">ordered_dims</span><span class="p">,</span>
+    <span class="n">parse_keys</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="Sup3rX">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX">[docs]</a>
+<span class="nd">@xr</span><span class="o">.</span><span class="n">register_dataset_accessor</span><span class="p">(</span><span class="s1">&#39;sx&#39;</span><span class="p">)</span>
+<span class="k">class</span> <span class="nc">Sup3rX</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Accessor for xarray - the suggested way to extend xarray functionality.</span>
+
+<span class="sd">    References</span>
+<span class="sd">    ----------</span>
+<span class="sd">    https://docs.xarray.dev/en/latest/internals/extending-xarray.html</span>
+
+<span class="sd">    Note</span>
+<span class="sd">    ----</span>
+<span class="sd">    (1) This is an ``xr.Dataset`` style object with all ``xr.Dataset``</span>
+<span class="sd">    methods, plus more. The way to access these methods is either through</span>
+<span class="sd">    appending ``.sx.&lt;method&gt;`` on an ``xr.Dataset`` or by wrapping an</span>
+<span class="sd">    ``xr.Dataset`` with ``Sup3rX``, e.g. ``Sup3rX(xr.Dataset(...)).&lt;method&gt;``.</span>
+<span class="sd">    Throughout the ``sup3r`` codebase we prefer to use the latter. The</span>
+<span class="sd">    most important part of this interface is parsing ``__getitem__`` calls of</span>
+<span class="sd">    the form ``ds.sx[keys]``.</span>
+
+<span class="sd">        (i) ``keys`` can be a single feature name, list of features, or numpy</span>
+<span class="sd">            style indexing for dimensions. e.g. ``ds.sx[&#39;u&#39;][slice(0, 10),</span>
+<span class="sd">            ...]`` or ``ds.sx[[&#39;u&#39;, &#39;v&#39;]][..., slice(0, 10)]``.</span>
+
+<span class="sd">        (ii) If ``ds[keys]`` returns an ``xr.Dataset`` object then</span>
+<span class="sd">             ``ds.sx[keys]`` will return a ``Sup3rX`` object. e.g.</span>
+<span class="sd">            ``ds.sx[[&#39;u&#39;,&#39;v&#39;]]``) will return a :class:`Sup3rX` instance but</span>
+<span class="sd">            ``ds.sx[&#39;u&#39;]`` will return an ``xr.DataArray``</span>
+
+<span class="sd">        (ii) Providing only numpy style indexing without features will return</span>
+<span class="sd">            an array with all contained features in the last dimension with a</span>
+<span class="sd">            spatiotemporal shape corresponding to the indices. e.g.</span>
+<span class="sd">            ``ds[slice(0, 10), 0, 1]`` will return an array of shape ``(10, 1,</span>
+<span class="sd">            1, n_features)``. This array will be a dask.array or numpy.array,</span>
+<span class="sd">            depending on whether data is still on disk or loaded into memory.</span>
+
+<span class="sd">    (2) The ``__getitem__`` and ``__getattr__`` methods will cast back to</span>
+<span class="sd">    ``type(self)`` if ``self._ds.__getitem__`` or ``self._ds.__getattr__``</span>
+<span class="sd">    returns an instance of ``type(self._ds)`` (e.g. an ``xr.Dataset``). This</span>
+<span class="sd">    means we do not have to constantly append ``.sx`` for successive calls to</span>
+<span class="sd">    accessor methods.</span>
+
+<span class="sd">    Examples</span>
+<span class="sd">    --------</span>
+<span class="sd">    &gt;&gt;&gt; # To use as an accessor:</span>
+<span class="sd">    &gt;&gt;&gt; ds = xr.Dataset(...)</span>
+<span class="sd">    &gt;&gt;&gt; feature_data = ds.sx[features]</span>
+<span class="sd">    &gt;&gt;&gt; ti = ds.sx.time_index</span>
+<span class="sd">    &gt;&gt;&gt; lat_lon_array = ds.sx.lat_lon</span>
+
+<span class="sd">    &gt;&gt;&gt; # Use as wrapper:</span>
+<span class="sd">    &gt;&gt;&gt; ds = Sup3rX(xr.Dataset(data_vars={&#39;windspeed&#39;: ...}, ...))</span>
+<span class="sd">    &gt;&gt;&gt; np_array = ds[&#39;windspeed&#39;].values</span>
+<span class="sd">    &gt;&gt;&gt; dask_array = ds[&#39;windspeed&#39;][...] == ds[&#39;windspeed&#39;].as_array()</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">ds</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">,</span> <span class="n">Self</span><span class="p">]):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize accessor.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        ds : xr.Dataset | xr.DataArray</span>
+<span class="sd">            xarray Dataset instance to access with the following methods</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span> <span class="o">=</span> <span class="n">ds</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_features</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_meta</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">time_slice</span> <span class="o">=</span> <span class="kc">None</span>
+
+    <span class="k">def</span> <span class="fm">__getitem__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span> <span class="n">keys</span>
+    <span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Union</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">da</span><span class="o">.</span><span class="n">core</span><span class="o">.</span><span class="n">Array</span><span class="p">],</span> <span class="n">Self</span><span class="p">]:</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Method for accessing variables. keys can optionally include a</span>
+<span class="sd">        feature name or list of feature names as the first entry of a keys</span>
+<span class="sd">        tuple.</span>
+
+<span class="sd">        Notes</span>
+<span class="sd">        -----</span>
+<span class="sd">        This returns a ``Sup3rX`` object when keys is only an iterable of</span>
+<span class="sd">        features. e.g. an instance of ``(set, list, tuple)``. When keys is</span>
+<span class="sd">        only a single feature (a string) this returns an ``xr.DataArray``.</span>
+<span class="sd">        Otherwise keys must be dimension indices or slices and this will return</span>
+<span class="sd">        an np.ndarray or dask.array, depending on whether data is loaded into</span>
+<span class="sd">        memory or not. This array will have features stacked over the last</span>
+<span class="sd">        dimension.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">features</span><span class="p">,</span> <span class="n">slices</span> <span class="o">=</span> <span class="n">parse_keys</span><span class="p">(</span>
+            <span class="n">keys</span><span class="p">,</span>
+            <span class="n">default_coords</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">coords</span><span class="p">,</span>
+            <span class="n">default_dims</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">dims</span><span class="p">,</span>
+            <span class="n">default_features</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="n">single_feat</span> <span class="o">=</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">features</span><span class="p">,</span> <span class="nb">str</span><span class="p">)</span>
+
+        <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="n">features</span><span class="p">]</span> <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">features</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ordered</span><span class="p">(</span><span class="n">out</span><span class="p">)</span> <span class="k">if</span> <span class="n">single_feat</span> <span class="k">else</span> <span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="p">)(</span><span class="n">out</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">features</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">out</span>
+
+        <span class="n">slices</span> <span class="o">=</span> <span class="p">{</span><span class="n">k</span><span class="p">:</span> <span class="n">v</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">slices</span><span class="o">.</span><span class="n">items</span><span class="p">()</span> <span class="k">if</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">out</span><span class="o">.</span><span class="n">dims</span><span class="p">}</span>
+        <span class="n">is_fancy</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_needs_fancy_indexing</span><span class="p">(</span><span class="n">slices</span><span class="o">.</span><span class="n">values</span><span class="p">())</span>
+
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">is_fancy</span><span class="p">:</span>
+            <span class="n">out</span> <span class="o">=</span> <span class="n">out</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="o">**</span><span class="n">slices</span><span class="p">)</span>
+
+        <span class="n">out</span> <span class="o">=</span> <span class="n">out</span><span class="o">.</span><span class="n">as_array</span><span class="p">()</span>
+
+        <span class="k">if</span> <span class="n">is_fancy</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">loaded</span><span class="p">:</span>
+            <span class="c1"># DataArray coord or Numpy indexing</span>
+            <span class="k">return</span> <span class="n">out</span><span class="p">[</span><span class="nb">tuple</span><span class="p">(</span><span class="n">slices</span><span class="o">.</span><span class="n">values</span><span class="p">())]</span>
+
+        <span class="k">if</span> <span class="n">is_fancy</span><span class="p">:</span>
+            <span class="c1"># DataArray + Dask indexing</span>
+            <span class="k">return</span> <span class="n">out</span><span class="o">.</span><span class="n">vindex</span><span class="p">[</span><span class="nb">tuple</span><span class="p">(</span><span class="n">slices</span><span class="o">.</span><span class="n">values</span><span class="p">())]</span>
+
+        <span class="k">return</span> <span class="n">out</span>
+
+    <span class="k">def</span> <span class="fm">__getattr__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">attr</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get attribute and cast to ``type(self)`` if an ``xr.Dataset`` is</span>
+<span class="sd">        returned first.&quot;&quot;&quot;</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">,</span> <span class="n">attr</span><span class="p">)</span>
+        <span class="k">return</span> <span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="p">)(</span><span class="n">out</span><span class="p">)</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">)</span> <span class="k">else</span> <span class="n">out</span>
+
+    <span class="k">def</span> <span class="fm">__setitem__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">keys</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        keys : str | list | tuple</span>
+<span class="sd">            keys to set. This can be a string like &#39;temperature&#39; or a list</span>
+<span class="sd">            like ``[&#39;u&#39;, &#39;v&#39;]``. ``data`` will be iterated over in the latter</span>
+<span class="sd">            case.</span>
+<span class="sd">        data : Union[np.ndarray, da.core.Array] | xr.DataArray</span>
+<span class="sd">            array object used to set variable data. If ``variable`` is a list</span>
+<span class="sd">            then this is expected to have a trailing dimension with length</span>
+<span class="sd">            equal to the length of the list.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">is_type_of</span><span class="p">(</span><span class="n">keys</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+            <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">keys</span><span class="p">,</span> <span class="p">(</span><span class="nb">list</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">))</span> <span class="ow">and</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="s1">&#39;data_vars&#39;</span><span class="p">):</span>
+                <span class="n">data_dict</span> <span class="o">=</span> <span class="p">{</span><span class="n">v</span><span class="p">:</span> <span class="n">data</span><span class="p">[</span><span class="n">v</span><span class="p">]</span> <span class="k">for</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">keys</span><span class="p">}</span>
+            <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">keys</span><span class="p">,</span> <span class="p">(</span><span class="nb">list</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">)):</span>
+                <span class="n">data_dict</span> <span class="o">=</span> <span class="p">{</span><span class="n">v</span><span class="p">:</span> <span class="n">data</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">i</span><span class="p">]</span> <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">keys</span><span class="p">)}</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">data_dict</span> <span class="o">=</span> <span class="p">{</span><span class="n">keys</span><span class="o">.</span><span class="n">lower</span><span class="p">():</span> <span class="n">data</span><span class="p">}</span>
+            <span class="n">_</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">data_dict</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;Cannot set values for keys </span><span class="si">{</span><span class="n">keys</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">KeyError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="fm">__contains__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">vals</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if ``self._ds`` contains ``vals``.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        vals : str | list</span>
+<span class="sd">            Values to check. Can be a list of strings or a single string.</span>
+
+<span class="sd">        Examples</span>
+<span class="sd">        --------</span>
+<span class="sd">        &gt;&gt;&gt; bool([&#39;u&#39;, &#39;v&#39;] in self)</span>
+<span class="sd">        &gt;&gt;&gt; bool(&#39;u&#39; in self)</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">feature_check</span> <span class="o">=</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">vals</span><span class="p">,</span> <span class="p">(</span><span class="nb">list</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">))</span> <span class="ow">and</span> <span class="nb">all</span><span class="p">(</span>
+            <span class="nb">isinstance</span><span class="p">(</span><span class="n">s</span><span class="p">,</span> <span class="nb">str</span><span class="p">)</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">vals</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="n">feature_check</span><span class="p">:</span>
+            <span class="k">return</span> <span class="nb">all</span><span class="p">(</span><span class="n">s</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">vals</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="fm">__contains__</span><span class="p">(</span><span class="n">vals</span><span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">values</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return numpy values in standard dimension order ``(lats, lons, time,</span>
+<span class="sd">        ..., features)``&quot;&quot;&quot;</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">as_array</span><span class="p">()</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">loaded</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">out</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">out</span>
+
+<div class="viewcode-block" id="Sup3rX.to_dataarray">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.to_dataarray">[docs]</a>
+    <span class="k">def</span> <span class="nf">to_dataarray</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Union</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">da</span><span class="o">.</span><span class="n">core</span><span class="o">.</span><span class="n">Array</span><span class="p">]:</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return xr.DataArray for the contained xr.Dataset.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">:</span>
+            <span class="n">coords</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="n">f</span><span class="p">]</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">coords_2d</span><span class="p">()]</span>
+            <span class="k">return</span> <span class="n">da</span><span class="o">.</span><span class="n">stack</span><span class="p">(</span><span class="n">coords</span><span class="p">,</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">ordered</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">to_array</span><span class="p">())</span></div>
+
+
+<div class="viewcode-block" id="Sup3rX.as_array">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.as_array">[docs]</a>
+    <span class="k">def</span> <span class="nf">as_array</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return ``.data`` attribute of an xarray.DataArray with our standard</span>
+<span class="sd">        dimension order ``(lats, lons, time, ..., features)``&quot;&quot;&quot;</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">to_dataarray</span><span class="p">()</span>
+        <span class="k">return</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="s1">&#39;data&#39;</span><span class="p">,</span> <span class="n">out</span><span class="p">)</span></div>
+
+
+    <span class="k">def</span> <span class="nf">_stack_features</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">arrs</span><span class="p">):</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">loaded</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">stack</span><span class="p">(</span><span class="n">arrs</span><span class="p">,</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">da</span><span class="o">.</span><span class="n">stack</span><span class="p">(</span><span class="n">arrs</span><span class="p">,</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+
+<div class="viewcode-block" id="Sup3rX.compute">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.compute">[docs]</a>
+    <span class="k">def</span> <span class="nf">compute</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Load `._ds` into memory. This updates the internal `xr.Dataset` if</span>
+<span class="sd">        it has not been loaded already.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">loaded</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Loading dataset into memory: </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Pre-loading: </span><span class="si">{</span><span class="n">_mem_check</span><span class="p">()</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+
+            <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">data_vars</span><span class="p">:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="n">f</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="n">f</span><span class="p">]</span><span class="o">.</span><span class="n">compute</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                    <span class="sa">f</span><span class="s1">&#39;Loaded </span><span class="si">{</span><span class="n">f</span><span class="si">}</span><span class="s1"> into memory with shape &#39;</span>
+                    <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="n">f</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">. </span><span class="si">{</span><span class="n">_mem_check</span><span class="p">()</span><span class="si">}</span><span class="s1">&#39;</span>
+                <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Loaded dataset into memory: </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Post-loading: </span><span class="si">{</span><span class="n">_mem_check</span><span class="p">()</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">loaded</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if data has been loaded as numpy arrays.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="nb">all</span><span class="p">(</span>
+            <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="n">f</span><span class="p">]</span><span class="o">.</span><span class="n">data</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">)</span>
+            <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="nb">list</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">data_vars</span><span class="p">)</span>
+        <span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">flattened</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if the contained data is flattened 2D data or 3D rasterized</span>
+<span class="sd">        data.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">FLATTENED_SPATIAL</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">dims</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">time_independent</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if the contained data is time independent.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">dims</span>
+
+<div class="viewcode-block" id="Sup3rX.update_ds">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.update_ds">[docs]</a>
+    <span class="k">def</span> <span class="nf">update_ds</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">new_dset</span><span class="p">,</span> <span class="n">attrs</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Update `self._ds` with coords and data_vars replaced with those</span>
+<span class="sd">        provided. These are both provided as dictionaries {name: dask.array}.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        new_dset : Dict[str, dask.array]</span>
+<span class="sd">            Can contain any existing or new variable / coordinate as long as</span>
+<span class="sd">            they all have a consistent shape.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        _ds : xr.Dataset</span>
+<span class="sd">            Updated dataset with provided coordinates and data_vars with</span>
+<span class="sd">            variables in our standard dimension order.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">coords</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">coords</span><span class="p">)</span>
+        <span class="n">data_vars</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">data_vars</span><span class="p">)</span>
+        <span class="n">new_coords</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="n">k</span><span class="p">:</span> <span class="n">dims_array_tuple</span><span class="p">(</span><span class="n">v</span><span class="p">)</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">new_dset</span><span class="o">.</span><span class="n">items</span><span class="p">()</span> <span class="k">if</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">coords</span>
+        <span class="p">}</span>
+        <span class="n">coords</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">new_coords</span><span class="p">)</span>
+        <span class="n">new_data</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="n">k</span><span class="p">:</span> <span class="n">dims_array_tuple</span><span class="p">(</span><span class="n">v</span><span class="p">)</span>
+            <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">new_dset</span><span class="o">.</span><span class="n">items</span><span class="p">()</span>
+            <span class="k">if</span> <span class="n">k</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">coords</span>
+        <span class="p">}</span>
+        <span class="n">data_vars</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">new_data</span><span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">(</span><span class="n">coords</span><span class="o">=</span><span class="n">coords</span><span class="p">,</span> <span class="n">data_vars</span><span class="o">=</span><span class="n">data_vars</span><span class="p">,</span> <span class="n">attrs</span><span class="o">=</span><span class="n">attrs</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">name</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Name of dataset. Used to label datasets when grouped in</span>
+<span class="sd">        :class:`Data` objects. e.g. for low / high res pairs or daily / hourly</span>
+<span class="sd">        data.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">attrs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;name&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+
+<div class="viewcode-block" id="Sup3rX.ordered">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.ordered">[docs]</a>
+    <span class="k">def</span> <span class="nf">ordered</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return data with dimensions in standard order ``(lats, lons, time,</span>
+<span class="sd">        ..., features)``&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">data</span><span class="o">.</span><span class="n">dims</span> <span class="o">!=</span> <span class="n">ordered_dims</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">dims</span><span class="p">):</span>
+            <span class="k">return</span> <span class="n">data</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="o">*</span><span class="n">ordered_dims</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">dims</span><span class="p">),</span> <span class="o">...</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">data</span></div>
+
+
+<div class="viewcode-block" id="Sup3rX.sample">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.sample">[docs]</a>
+    <span class="k">def</span> <span class="nf">sample</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">idx</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get sample from ``self._ds``. The idx should be a tuple of slices</span>
+<span class="sd">        for the dimensions ``(south_north, west_east, time)`` and a list of</span>
+<span class="sd">        feature names. e.g.</span>
+<span class="sd">        ``(slice(0, 3), slice(1, 10), slice(None), [&#39;u_10m&#39;, &#39;v_10m&#39;])``&quot;&quot;&quot;</span>
+        <span class="n">isel_kwargs</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="n">Dimension</span><span class="o">.</span><span class="n">dims_3d</span><span class="p">(),</span> <span class="n">idx</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]))</span>
+        <span class="n">features</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">_lowered</span><span class="p">(</span><span class="n">idx</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span> <span class="k">if</span> <span class="n">is_type_of</span><span class="p">(</span><span class="n">idx</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="nb">str</span><span class="p">)</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">features</span>
+        <span class="p">)</span>
+
+        <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="n">features</span><span class="p">]</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="o">**</span><span class="n">isel_kwargs</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">ordered</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">to_array</span><span class="p">())</span><span class="o">.</span><span class="n">data</span></div>
+
+
+    <span class="nd">@name</span><span class="o">.</span><span class="n">setter</span>
+    <span class="k">def</span> <span class="nf">name</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Set name of dataset.&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;name&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">value</span>
+
+<div class="viewcode-block" id="Sup3rX.isel">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.isel">[docs]</a>
+    <span class="k">def</span> <span class="nf">isel</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Override xr.Dataset.isel to cast back to Sup3rX object.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="p">)(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">))</span></div>
+
+
+<div class="viewcode-block" id="Sup3rX.coarsen">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.coarsen">[docs]</a>
+    <span class="k">def</span> <span class="nf">coarsen</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Override xr.Dataset.coarsen to cast back to Sup3rX object.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="p">)(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">coarsen</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">))</span></div>
+
+
+<div class="viewcode-block" id="Sup3rX.mean">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.mean">[docs]</a>
+    <span class="k">def</span> <span class="nf">mean</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get mean directly from dataset object.&quot;&quot;&quot;</span>
+        <span class="n">features</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">&#39;features&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="n">features</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+            <span class="k">if</span> <span class="n">features</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+            <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="p">)(</span><span class="n">out</span><span class="p">)</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">)</span> <span class="k">else</span> <span class="n">out</span></div>
+
+
+<div class="viewcode-block" id="Sup3rX.std">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.std">[docs]</a>
+    <span class="k">def</span> <span class="nf">std</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get std directly from dataset object.&quot;&quot;&quot;</span>
+        <span class="n">features</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">&#39;features&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="n">features</span><span class="p">]</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+            <span class="k">if</span> <span class="n">features</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+            <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="p">)(</span><span class="n">out</span><span class="p">)</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">)</span> <span class="k">else</span> <span class="n">out</span></div>
+
+
+<div class="viewcode-block" id="Sup3rX.normalize">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.normalize">[docs]</a>
+    <span class="k">def</span> <span class="nf">normalize</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">means</span><span class="p">,</span> <span class="n">stds</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Normalize dataset using given means and stds. These are provided as</span>
+<span class="sd">        dictionaries.&quot;&quot;&quot;</span>
+        <span class="n">feats</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">data_vars</span><span class="p">)</span><span class="o">.</span><span class="n">intersection</span><span class="p">(</span><span class="n">means</span><span class="p">)</span><span class="o">.</span><span class="n">intersection</span><span class="p">(</span><span class="n">stds</span><span class="p">)</span>
+        <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">feats</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="n">f</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="n">f</span><span class="p">]</span> <span class="o">-</span> <span class="n">means</span><span class="p">[</span><span class="n">f</span><span class="p">])</span> <span class="o">/</span> <span class="n">stds</span><span class="p">[</span><span class="n">f</span><span class="p">]</span></div>
+
+
+<div class="viewcode-block" id="Sup3rX.interpolate_na">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.interpolate_na">[docs]</a>
+    <span class="k">def</span> <span class="nf">interpolate_na</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Use `xr.DataArray.interpolate_na` to fill NaN values with a dask</span>
+<span class="sd">        compatible method.&quot;&quot;&quot;</span>
+        <span class="n">features</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">&#39;features&#39;</span><span class="p">,</span> <span class="nb">list</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">data_vars</span><span class="p">))</span>
+        <span class="n">kwargs</span><span class="p">[</span><span class="s1">&#39;fill_value&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;fill_value&#39;</span><span class="p">,</span> <span class="s1">&#39;extrapolate&#39;</span><span class="p">)</span>
+        <span class="k">for</span> <span class="n">feat</span> <span class="ow">in</span> <span class="n">features</span><span class="p">:</span>
+            <span class="k">if</span> <span class="s1">&#39;dim&#39;</span> <span class="ow">in</span> <span class="n">kwargs</span><span class="p">:</span>
+                <span class="k">if</span> <span class="n">kwargs</span><span class="p">[</span><span class="s1">&#39;dim&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">:</span>
+                    <span class="n">kwargs</span><span class="p">[</span><span class="s1">&#39;use_coordinate&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span>
+                        <span class="s1">&#39;use_coordinate&#39;</span><span class="p">,</span> <span class="kc">False</span>
+                    <span class="p">)</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="n">feat</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="n">feat</span><span class="p">]</span><span class="o">.</span><span class="n">interpolate_na</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">horiz</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="n">feat</span><span class="p">]</span>
+                    <span class="o">.</span><span class="n">chunk</span><span class="p">({</span><span class="n">Dimension</span><span class="o">.</span><span class="n">WEST_EAST</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">})</span>
+                    <span class="o">.</span><span class="n">interpolate_na</span><span class="p">(</span><span class="n">dim</span><span class="o">=</span><span class="n">Dimension</span><span class="o">.</span><span class="n">WEST_EAST</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+                <span class="p">)</span>
+                <span class="n">vert</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="n">feat</span><span class="p">]</span>
+                    <span class="o">.</span><span class="n">chunk</span><span class="p">({</span><span class="n">Dimension</span><span class="o">.</span><span class="n">SOUTH_NORTH</span><span class="p">:</span> <span class="o">-</span><span class="mi">1</span><span class="p">})</span>
+                    <span class="o">.</span><span class="n">interpolate_na</span><span class="p">(</span><span class="n">dim</span><span class="o">=</span><span class="n">Dimension</span><span class="o">.</span><span class="n">SOUTH_NORTH</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+                <span class="p">)</span>
+                <span class="n">new_var</span> <span class="o">=</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="n">feat</span><span class="p">]</span><span class="o">.</span><span class="n">dims</span><span class="p">,</span> <span class="p">(</span><span class="n">horiz</span><span class="o">.</span><span class="n">data</span> <span class="o">+</span> <span class="n">vert</span><span class="o">.</span><span class="n">data</span><span class="p">)</span> <span class="o">/</span> <span class="mi">2</span><span class="p">)</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="n">feat</span><span class="p">]</span> <span class="o">=</span> <span class="n">new_var</span>
+        <span class="k">return</span> <span class="bp">self</span></div>
+
+
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">_needs_fancy_indexing</span><span class="p">(</span><span class="n">keys</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Union</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">da</span><span class="o">.</span><span class="n">core</span><span class="o">.</span><span class="n">Array</span><span class="p">]:</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;We use `.vindex` if keys require fancy indexing.&quot;&quot;&quot;</span>
+        <span class="n">where_list</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="n">ind</span> <span class="k">for</span> <span class="n">ind</span> <span class="ow">in</span> <span class="n">keys</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">ind</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">)</span> <span class="ow">and</span> <span class="n">ind</span><span class="o">.</span><span class="n">ndim</span> <span class="o">&gt;</span> <span class="mi">0</span>
+        <span class="p">]</span>
+        <span class="k">return</span> <span class="nb">len</span><span class="p">(</span><span class="n">where_list</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">1</span>
+
+<div class="viewcode-block" id="Sup3rX.add_dims_to_data_vars">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.add_dims_to_data_vars">[docs]</a>
+    <span class="k">def</span> <span class="nf">add_dims_to_data_vars</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">vals</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Add dimensions to vals entries if needed. This is used to set values</span>
+<span class="sd">        of `self._ds` which can require dimensions to be explicitly specified</span>
+<span class="sd">        for the data being set. e.g. self._ds[&#39;u_100m&#39;] = ((&#39;south_north&#39;,</span>
+<span class="sd">        &#39;west_east&#39;, &#39;time&#39;), data). We make guesses on the correct dims if</span>
+<span class="sd">        they are missing and give a warning. We add attributes if available in</span>
+<span class="sd">        vals, as well</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        vals : Dict[Str, Union]</span>
+<span class="sd">            Dictionary of feature names and arrays to use for setting feature</span>
+<span class="sd">            data. When arrays are &gt;2 dimensions xarray needs explicit dimension</span>
+<span class="sd">            info, so we need to add these if not provided.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">new_vals</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">vals</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+            <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">v</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">):</span>
+                <span class="n">new_vals</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="n">v</span>
+            <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">v</span><span class="p">,</span> <span class="p">(</span><span class="n">xr</span><span class="o">.</span><span class="n">DataArray</span><span class="p">,</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">)):</span>
+                <span class="n">dat</span> <span class="o">=</span> <span class="n">v</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">v</span><span class="p">,</span> <span class="n">xr</span><span class="o">.</span><span class="n">DataArray</span><span class="p">)</span> <span class="k">else</span> <span class="n">v</span><span class="p">[</span><span class="n">k</span><span class="p">]</span>
+                <span class="n">data</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="n">ordered_array</span><span class="p">(</span><span class="n">dat</span><span class="p">)</span><span class="o">.</span><span class="n">squeeze</span><span class="p">(</span><span class="n">dim</span><span class="o">=</span><span class="s1">&#39;variable&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">data</span>
+                    <span class="k">if</span> <span class="s1">&#39;variable&#39;</span> <span class="ow">in</span> <span class="n">dat</span><span class="o">.</span><span class="n">dims</span>
+                    <span class="k">else</span> <span class="n">ordered_array</span><span class="p">(</span><span class="n">dat</span><span class="p">)</span><span class="o">.</span><span class="n">data</span>
+                <span class="p">)</span>
+                <span class="n">new_vals</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="n">ordered_dims</span><span class="p">(</span><span class="n">dat</span><span class="o">.</span><span class="n">dims</span><span class="p">),</span>
+                    <span class="n">data</span><span class="p">,</span>
+                    <span class="nb">getattr</span><span class="p">(</span><span class="n">dat</span><span class="p">,</span> <span class="s1">&#39;attrs&#39;</span><span class="p">,</span> <span class="p">{}),</span>
+                <span class="p">)</span>
+            <span class="k">elif</span> <span class="n">k</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">data_vars</span> <span class="ow">or</span> <span class="nb">len</span><span class="p">(</span><span class="n">v</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">1</span><span class="p">:</span>
+                <span class="k">if</span> <span class="n">k</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">data_vars</span><span class="p">:</span>
+                    <span class="n">val</span> <span class="o">=</span> <span class="p">(</span><span class="n">ordered_dims</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="n">k</span><span class="p">]</span><span class="o">.</span><span class="n">dims</span><span class="p">),</span> <span class="n">v</span><span class="p">)</span>
+                <span class="k">else</span><span class="p">:</span>
+                    <span class="n">val</span> <span class="o">=</span> <span class="n">dims_array_tuple</span><span class="p">(</span><span class="n">v</span><span class="p">)</span>
+                <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="sa">f</span><span class="s1">&#39;Setting data for variable &quot;</span><span class="si">{</span><span class="n">k</span><span class="si">}</span><span class="s1">&quot; without explicitly &#39;</span>
+                    <span class="sa">f</span><span class="s1">&#39;providing dimensions. Using dims = </span><span class="si">{</span><span class="nb">tuple</span><span class="p">(</span><span class="n">val</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span><span class="si">}</span><span class="s1">.&#39;</span>
+                <span class="p">)</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="n">new_vals</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="n">val</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">new_vals</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="n">v</span>
+        <span class="k">return</span> <span class="n">new_vals</span></div>
+
+
+<div class="viewcode-block" id="Sup3rX.assign">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.assign">[docs]</a>
+    <span class="k">def</span> <span class="nf">assign</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span> <span class="n">vals</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Union</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">da</span><span class="o">.</span><span class="n">core</span><span class="o">.</span><span class="n">Array</span><span class="p">],</span> <span class="nb">tuple</span><span class="p">]]</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Override xarray assign and assign_coords methods to enable update</span>
+<span class="sd">        without explicitly providing dimensions if variable already exists.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        vals : dict</span>
+<span class="sd">            Dictionary of variable names and either arrays or tuples of (dims,</span>
+<span class="sd">            array). If dims are not provided this will try to use stored dims</span>
+<span class="sd">            of the variable, if it exists already.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">data_vars</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">add_dims_to_data_vars</span><span class="p">(</span><span class="n">vals</span><span class="p">)</span>
+        <span class="k">if</span> <span class="nb">all</span><span class="p">(</span><span class="n">f</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">coords</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">vals</span><span class="p">):</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">assign_coords</span><span class="p">(</span><span class="n">data_vars</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">data_vars</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">features</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Features in this container.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="nb">list</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">data_vars</span><span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">dtype</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get dtype of underlying array.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">to_array</span><span class="p">()</span><span class="o">.</span><span class="n">dtype</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">shape</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get shape of underlying xr.DataArray, using our standard dimension</span>
+<span class="sd">        order.&quot;&quot;&quot;</span>
+        <span class="n">dim_dict</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">sizes</span><span class="p">)</span>
+        <span class="n">dim_vals</span> <span class="o">=</span> <span class="p">[</span><span class="n">dim_dict</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">order</span><span class="p">()</span> <span class="k">if</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">dim_dict</span><span class="p">]</span>
+        <span class="k">return</span> <span class="p">(</span><span class="o">*</span><span class="n">dim_vals</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">data_vars</span><span class="p">))</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">size</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get size of data contained to use in weight calculations.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">time_index</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Base time index for contained data.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span>
+            <span class="n">pd</span><span class="o">.</span><span class="n">to_datetime</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">indexes</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">])</span>
+            <span class="k">if</span> <span class="s1">&#39;time&#39;</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">indexes</span>
+            <span class="k">else</span> <span class="kc">None</span>
+        <span class="p">)</span>
+
+    <span class="nd">@time_index</span><span class="o">.</span><span class="n">setter</span>
+    <span class="k">def</span> <span class="nf">time_index</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Update the time_index attribute with given index.&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">indexes</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">value</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">time_step</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get time step in seconds.&quot;&quot;&quot;</span>
+        <span class="n">sec_diff</span> <span class="o">=</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">time_index</span><span class="p">[</span><span class="mi">1</span><span class="p">:]</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">time_index</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span><span class="o">.</span><span class="n">total_seconds</span><span class="p">()</span>
+        <span class="k">return</span> <span class="nb">float</span><span class="p">(</span><span class="n">mode</span><span class="p">(</span><span class="n">sec_diff</span><span class="p">,</span> <span class="n">keepdims</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span><span class="o">.</span><span class="n">mode</span><span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">lat_lon</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Union</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">da</span><span class="o">.</span><span class="n">core</span><span class="o">.</span><span class="n">Array</span><span class="p">]:</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Base lat lon for contained data.&quot;&quot;&quot;</span>
+        <span class="n">coords</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="n">d</span><span class="p">]</span> <span class="k">for</span> <span class="n">d</span> <span class="ow">in</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">coords_2d</span><span class="p">()]</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_stack_features</span><span class="p">(</span><span class="n">coords</span><span class="p">)</span>
+
+    <span class="nd">@lat_lon</span><span class="o">.</span><span class="n">setter</span>
+    <span class="k">def</span> <span class="nf">lat_lon</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">lat_lon</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Update the lat_lon attribute with array values.&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">coords_2d</span><span class="p">()]</span> <span class="o">=</span> <span class="n">lat_lon</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">target</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return the value of the lower left hand coordinate.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">lat_lon</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">])</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">grid_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return the shape of the spatial dimensions.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">lat_lon</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">meta</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return dataframe of flattened lat / lon values. Can also be set to</span>
+<span class="sd">        include additional data like elevation, country, state, etc&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_meta</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_meta</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span>
+                <span class="n">columns</span><span class="o">=</span><span class="n">Dimension</span><span class="o">.</span><span class="n">coords_2d</span><span class="p">(),</span>
+                <span class="n">data</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">lat_lon</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">)),</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_meta</span>
+
+    <span class="nd">@meta</span><span class="o">.</span><span class="n">setter</span>
+    <span class="k">def</span> <span class="nf">meta</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">meta</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Set meta data. Used to update meta with additional info from</span>
+<span class="sd">        datasets like WTK and NSRDB.&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_meta</span> <span class="o">=</span> <span class="n">meta</span>
+
+<div class="viewcode-block" id="Sup3rX.unflatten">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.unflatten">[docs]</a>
+    <span class="k">def</span> <span class="nf">unflatten</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">grid_shape</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Convert flattened dataset into rasterized dataset with the given</span>
+<span class="sd">        grid shape.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">flattened</span><span class="p">:</span>
+            <span class="n">ind</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">MultiIndex</span><span class="o">.</span><span class="n">from_product</span><span class="p">(</span>
+                <span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">grid_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]),</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">grid_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">])),</span>
+                <span class="n">names</span><span class="o">=</span><span class="n">Dimension</span><span class="o">.</span><span class="n">dims_2d</span><span class="p">(),</span>
+            <span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">assign</span><span class="p">({</span><span class="n">Dimension</span><span class="o">.</span><span class="n">FLATTENED_SPATIAL</span><span class="p">:</span> <span class="n">ind</span><span class="p">})</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">unstack</span><span class="p">(</span><span class="n">Dimension</span><span class="o">.</span><span class="n">FLATTENED_SPATIAL</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;Dataset is already unflattened&#39;</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span></div>
+
+
+<div class="viewcode-block" id="Sup3rX.flatten">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.flatten">[docs]</a>
+    <span class="k">def</span> <span class="nf">flatten</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Flatten rasterized dataset so that there is only a single spatial</span>
+<span class="sd">        dimension.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">flattened</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">stack</span><span class="p">(</span>
+                <span class="p">{</span><span class="n">Dimension</span><span class="o">.</span><span class="n">FLATTENED_SPATIAL</span><span class="p">:</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">dims_2d</span><span class="p">()}</span>
+            <span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
+                <span class="p">{</span>
+                    <span class="n">Dimension</span><span class="o">.</span><span class="n">FLATTENED_SPATIAL</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span>
+                        <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">FLATTENED_SPATIAL</span><span class="p">])</span>
+                    <span class="p">)</span>
+                <span class="p">}</span>
+            <span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;Dataset is already flattened&#39;</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span></div>
+
+
+    <span class="k">def</span> <span class="nf">_qa</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">feature</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get qa info for given feature.&quot;&quot;&quot;</span>
+        <span class="n">info</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Running qa on feature: </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">feature</span><span class="p">)</span>
+        <span class="n">nan_count</span> <span class="o">=</span> <span class="mi">100</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="bp">self</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span><span class="o">.</span><span class="n">data</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span>
+        <span class="n">nan_perc</span> <span class="o">=</span> <span class="n">nan_count</span> <span class="o">/</span> <span class="bp">self</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span><span class="o">.</span><span class="n">size</span>
+        <span class="n">info</span><span class="p">[</span><span class="s1">&#39;nan_perc&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">compute_if_dask</span><span class="p">(</span><span class="n">nan_perc</span><span class="p">)</span>
+        <span class="n">info</span><span class="p">[</span><span class="s1">&#39;std&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">compute_if_dask</span><span class="p">(</span><span class="bp">self</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span><span class="o">.</span><span class="n">std</span><span class="p">()</span><span class="o">.</span><span class="n">data</span><span class="p">)</span>
+        <span class="n">info</span><span class="p">[</span><span class="s1">&#39;mean&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">compute_if_dask</span><span class="p">(</span><span class="bp">self</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span><span class="o">.</span><span class="n">data</span><span class="p">)</span>
+        <span class="n">info</span><span class="p">[</span><span class="s1">&#39;min&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">compute_if_dask</span><span class="p">(</span><span class="bp">self</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span><span class="o">.</span><span class="n">min</span><span class="p">()</span><span class="o">.</span><span class="n">data</span><span class="p">)</span>
+        <span class="n">info</span><span class="p">[</span><span class="s1">&#39;max&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">compute_if_dask</span><span class="p">(</span><span class="bp">self</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span><span class="o">.</span><span class="n">max</span><span class="p">()</span><span class="o">.</span><span class="n">data</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">info</span>
+
+<div class="viewcode-block" id="Sup3rX.qa">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.qa">[docs]</a>
+    <span class="k">def</span> <span class="nf">qa</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check NaNs and stats for all features.&quot;&quot;&quot;</span>
+        <span class="n">qa_info</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">:</span>
+            <span class="n">qa_info</span><span class="p">[</span><span class="n">f</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_qa</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">qa_info</span></div>
+
+
+<div class="viewcode-block" id="Sup3rX.__mul__">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.__mul__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__mul__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Multiply ``Sup3rX`` object by other. Used to compute weighted means</span>
+<span class="sd">        and stdevs.&quot;&quot;&quot;</span>
+        <span class="k">try</span><span class="p">:</span>
+            <span class="k">return</span> <span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="p">)(</span><span class="n">other</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">)</span>
+        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
+            <span class="k">raise</span> <span class="ne">NotImplementedError</span><span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;Multiplication not supported for type </span><span class="si">{</span><span class="nb">type</span><span class="p">(</span><span class="n">other</span><span class="p">)</span><span class="si">}</span><span class="s1">.&#39;</span>
+            <span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span></div>
+
+
+    <span class="k">def</span> <span class="fm">__rmul__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">):</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="fm">__mul__</span><span class="p">(</span><span class="n">other</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="fm">__pow__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Raise ``Sup3rX`` object to an integer power. Used to compute</span>
+<span class="sd">        weighted standard deviations.&quot;&quot;&quot;</span>
+        <span class="k">try</span><span class="p">:</span>
+            <span class="k">return</span> <span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="p">)(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">**</span><span class="n">other</span><span class="p">)</span>
+        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
+            <span class="k">raise</span> <span class="ne">NotImplementedError</span><span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;Exponentiation not supported for type </span><span class="si">{</span><span class="nb">type</span><span class="p">(</span><span class="n">other</span><span class="p">)</span><span class="si">}</span><span class="s1">.&#39;</span>
+            <span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span></div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.preprocessing.base</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Base classes - fundamental dataset objects and the base :class:`Container`</span>
+<span class="sd">object, which just contains dataset objects. All objects that interact with</span>
+<span class="sd">data are containers. e.g. loaders, rasterizers, data handlers, samplers, batch</span>
+<span class="sd">queues, batch handlers.</span>
+
+<span class="sd">TODO: https://github.com/xarray-contrib/datatree might be a better approach</span>
+<span class="sd">for Sup3rDataset concept. Consider migrating once datatree has been fully</span>
+<span class="sd">integrated into xarray (in progress as of 8/8/2024)</span>
+<span class="sd">&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">pprint</span>
+<span class="kn">from</span> <span class="nn">abc</span> <span class="kn">import</span> <span class="n">ABCMeta</span>
+<span class="kn">from</span> <span class="nn">collections</span> <span class="kn">import</span> <span class="n">namedtuple</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Mapping</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Union</span>
+<span class="kn">from</span> <span class="nn">warnings</span> <span class="kn">import</span> <span class="n">warn</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">xarray</span> <span class="k">as</span> <span class="nn">xr</span>
+
+<span class="kn">import</span> <span class="nn">sup3r.preprocessing.accessor</span>  <span class="c1"># noqa: F401 # pylint: disable=W0611</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.accessor</span> <span class="kn">import</span> <span class="n">Sup3rX</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">composite_info</span><span class="p">,</span>
+    <span class="n">is_type_of</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<span class="k">def</span> <span class="nf">_get_class_info</span><span class="p">(</span><span class="n">namespace</span><span class="p">):</span>
+    <span class="n">sig_objs</span> <span class="o">=</span> <span class="n">namespace</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;_signature_objs&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+    <span class="n">skips</span> <span class="o">=</span> <span class="n">namespace</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;_skip_params&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+    <span class="n">_sig</span> <span class="o">=</span> <span class="n">_doc</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="k">if</span> <span class="n">sig_objs</span><span class="p">:</span>
+        <span class="n">_sig</span><span class="p">,</span> <span class="n">_doc</span> <span class="o">=</span> <span class="n">composite_info</span><span class="p">(</span><span class="n">sig_objs</span><span class="p">,</span> <span class="n">skip_params</span><span class="o">=</span><span class="n">skips</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">_sig</span><span class="p">,</span> <span class="n">_doc</span>
+
+
+<div class="viewcode-block" id="Sup3rMeta">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.base.Sup3rMeta.html#sup3r.preprocessing.base.Sup3rMeta">[docs]</a>
+<span class="k">class</span> <span class="nc">Sup3rMeta</span><span class="p">(</span><span class="n">ABCMeta</span><span class="p">,</span> <span class="nb">type</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Meta class to define ``__name__``, ``__signature__``, and</span>
+<span class="sd">    ``__subclasscheck__`` of composite and derived classes. This allows us to</span>
+<span class="sd">    still resolve a signature for classes which pass through parent args /</span>
+<span class="sd">    kwargs as ``*args`` / ``**kwargs`` or those built through factory</span>
+<span class="sd">    composition, for example.&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__new__</span><span class="p">(</span><span class="n">mcs</span><span class="p">,</span> <span class="n">name</span><span class="p">,</span> <span class="n">bases</span><span class="p">,</span> <span class="n">namespace</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>  <span class="c1"># noqa: N804</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Define __name__ and __signature__&quot;&quot;&quot;</span>
+        <span class="n">_sig</span><span class="p">,</span> <span class="n">_doc</span> <span class="o">=</span> <span class="n">_get_class_info</span><span class="p">(</span><span class="n">namespace</span><span class="p">)</span>
+        <span class="n">name</span> <span class="o">=</span> <span class="n">namespace</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;__name__&#39;</span><span class="p">,</span> <span class="n">name</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">_sig</span><span class="p">:</span>
+            <span class="n">namespace</span><span class="p">[</span><span class="s1">&#39;__signature__&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">_sig</span>
+        <span class="k">if</span> <span class="s1">&#39;__init__&#39;</span> <span class="ow">in</span> <span class="n">namespace</span> <span class="ow">and</span> <span class="n">_sig</span><span class="p">:</span>
+            <span class="n">namespace</span><span class="p">[</span><span class="s1">&#39;__init__&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">__signature__</span> <span class="o">=</span> <span class="n">_sig</span>
+        <span class="k">if</span> <span class="s1">&#39;__init__&#39;</span> <span class="ow">in</span> <span class="n">namespace</span> <span class="ow">and</span> <span class="n">_doc</span><span class="p">:</span>
+            <span class="n">namespace</span><span class="p">[</span><span class="s1">&#39;__init__&#39;</span><span class="p">]</span><span class="o">.</span><span class="vm">__doc__</span> <span class="o">=</span> <span class="n">_doc</span>
+        <span class="k">return</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__new__</span><span class="p">(</span><span class="n">mcs</span><span class="p">,</span> <span class="n">name</span><span class="p">,</span> <span class="n">bases</span><span class="p">,</span> <span class="n">namespace</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="fm">__subclasscheck__</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">subclass</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if factory built class shares base classes.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__subclasscheck__</span><span class="p">(</span><span class="n">subclass</span><span class="p">):</span>
+            <span class="k">return</span> <span class="kc">True</span>
+        <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">subclass</span><span class="p">,</span> <span class="s1">&#39;_signature_objs&#39;</span><span class="p">):</span>
+            <span class="k">return</span> <span class="p">{</span><span class="n">obj</span><span class="o">.</span><span class="vm">__name__</span> <span class="k">for</span> <span class="n">obj</span> <span class="ow">in</span> <span class="bp">cls</span><span class="o">.</span><span class="n">_signature_objs</span><span class="p">}</span> <span class="o">==</span> <span class="p">{</span>
+                <span class="n">obj</span><span class="o">.</span><span class="vm">__name__</span> <span class="k">for</span> <span class="n">obj</span> <span class="ow">in</span> <span class="n">subclass</span><span class="o">.</span><span class="n">_signature_objs</span>
+            <span class="p">}</span>
+        <span class="k">return</span> <span class="kc">False</span>
+
+    <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span>
+        <span class="k">return</span> <span class="sa">f</span><span class="s2">&quot;&lt;class &#39;</span><span class="si">{</span><span class="bp">cls</span><span class="o">.</span><span class="vm">__module__</span><span class="si">}</span><span class="s2">.</span><span class="si">{</span><span class="bp">cls</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s2">&#39;&gt;&quot;</span></div>
+
+
+
+<div class="viewcode-block" id="Sup3rDataset">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset">[docs]</a>
+<span class="k">class</span> <span class="nc">Sup3rDataset</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Interface for interacting with one or two ``xr.Dataset`` instances.</span>
+<span class="sd">    This is a wrapper around one or two ``Sup3rX`` objects so they work well</span>
+<span class="sd">    with Dual objects like ``DualSampler``, ``DualRasterizer``,</span>
+<span class="sd">    ``DualBatchHandler``, etc...)</span>
+
+<span class="sd">    Examples</span>
+<span class="sd">    --------</span>
+<span class="sd">    &gt;&gt;&gt; # access high_res or low_res:</span>
+<span class="sd">    &gt;&gt;&gt; hr = xr.Dataset(...)</span>
+<span class="sd">    &gt;&gt;&gt; lr = xr.Dataset(...)</span>
+<span class="sd">    &gt;&gt;&gt; ds = Sup3rDataset(low_res=lr, high_res=hr)</span>
+<span class="sd">    &gt;&gt;&gt; ds.high_res; ds.low_res  # returns Sup3rX objects</span>
+<span class="sd">    &gt;&gt;&gt; ds[feature]  # returns a tuple of dataarray (low_res, high_res)</span>
+
+<span class="sd">    &gt;&gt;&gt; # access hourly or daily:</span>
+<span class="sd">    &gt;&gt;&gt; daily = xr.Dataset(...)</span>
+<span class="sd">    &gt;&gt;&gt; hourly = xr.Dataset(...)</span>
+<span class="sd">    &gt;&gt;&gt; ds = Sup3rDataset(daily=daily, hourly=hourly)</span>
+<span class="sd">    &gt;&gt;&gt; ds.hourly; ds.daily  # returns Sup3rX objects</span>
+<span class="sd">    &gt;&gt;&gt; ds[feature]  # returns a tuple of dataarray (daily, hourly)</span>
+
+<span class="sd">    &gt;&gt;&gt; # single resolution data access:</span>
+<span class="sd">    &gt;&gt;&gt; xds = xr.Dataset(...)</span>
+<span class="sd">    &gt;&gt;&gt; ds = Sup3rDataset(hourly=xds)</span>
+<span class="sd">    &gt;&gt;&gt; ds.hourly  # returns Sup3rX object</span>
+<span class="sd">    &gt;&gt;&gt; ds[feature]  # returns a single dataarray</span>
+
+<span class="sd">    Note</span>
+<span class="sd">    ----</span>
+<span class="sd">    (1) This may seem similar to</span>
+<span class="sd">    :class:`~sup3r.preprocessing.collections.base.Collection`, which also can</span>
+<span class="sd">    contain multiple data members, but members of</span>
+<span class="sd">    :class:`~sup3r.preprocessing.collections.base.Collection` objects are</span>
+<span class="sd">    completely independent while here there are at most two members which are</span>
+<span class="sd">    related as low / high res versions of the same underlying data.</span>
+
+<span class="sd">    (2) Here we make an important choice to use high_res members to compute</span>
+<span class="sd">    means / stds. It would be reasonable to instead use the average of high_res</span>
+<span class="sd">    and low_res means / stds for aggregate stats but we want to preserve the</span>
+<span class="sd">    relationship between coarsened variables after normalization (e.g.</span>
+<span class="sd">    temperature_2m, temperature_max_2m, temperature_min_2m). This means all</span>
+<span class="sd">    these variables should have the same means and stds, which ultimately come</span>
+<span class="sd">    from the high_res non coarsened variable.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="o">**</span><span class="n">dsets</span><span class="p">:</span> <span class="n">Mapping</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Union</span><span class="p">[</span><span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">,</span> <span class="n">Sup3rX</span><span class="p">]],</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        dsets : Mapping[str, xr.Dataset | Sup3rX | Sup3rDataset]</span>
+<span class="sd">            ``Sup3rDataset`` is initialized from a flexible kwargs input. The</span>
+<span class="sd">            keys will be used as names in a named tuple and the values will be</span>
+<span class="sd">            the dataset members. These names will also be used to define</span>
+<span class="sd">            attributes which point to these dataset members. You can provide</span>
+<span class="sd">            ``name=data`` or ``name1=data1, name2=data2`` and then access these</span>
+<span class="sd">            datasets as ``.name1`` or ``.name2``. If dsets values are</span>
+<span class="sd">            xr.Dataset objects these will be cast to ``Sup3rX`` objects first.</span>
+<span class="sd">            We also check if dsets values are ``Sup3rDataset`` objects and if</span>
+<span class="sd">            they only include one data member we use those to reinitialize a</span>
+<span class="sd">            ``Sup3rDataset``</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">for</span> <span class="n">name</span><span class="p">,</span> <span class="n">dset</span> <span class="ow">in</span> <span class="n">dsets</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+            <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dset</span><span class="p">,</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">):</span>
+                <span class="n">dsets</span><span class="p">[</span><span class="n">name</span><span class="p">]</span> <span class="o">=</span> <span class="n">Sup3rX</span><span class="p">(</span><span class="n">dset</span><span class="p">)</span>
+            <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dset</span><span class="p">,</span> <span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="p">)):</span>
+                <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="s1">&#39;Initializing Sup3rDataset with Sup3rDataset objects &#39;</span>
+                    <span class="s1">&#39;which contain more than one member is not allowed.&#39;</span>
+                <span class="p">)</span>
+                <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">dset</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">,</span> <span class="n">msg</span>
+                <span class="n">dsets</span><span class="p">[</span><span class="n">name</span><span class="p">]</span> <span class="o">=</span> <span class="n">dset</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span> <span class="o">=</span> <span class="n">namedtuple</span><span class="p">(</span><span class="s1">&#39;Dataset&#39;</span><span class="p">,</span> <span class="nb">list</span><span class="p">(</span><span class="n">dsets</span><span class="p">))(</span><span class="o">**</span><span class="n">dsets</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="fm">__iter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="k">yield from</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">dtype</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get datatype of first member. Assumed to be constant for all</span>
+<span class="sd">        members.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">dtype</span>
+
+    <span class="k">def</span> <span class="fm">__len__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="k">return</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="fm">__getattr__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">attr</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get attribute through accessor if available. Otherwise use standard</span>
+<span class="sd">        xarray interface.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">,</span> <span class="n">attr</span><span class="p">):</span>
+            <span class="k">return</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">,</span> <span class="n">attr</span><span class="p">)</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_getattr</span><span class="p">(</span><span class="n">ds</span><span class="p">,</span> <span class="n">attr</span><span class="p">)</span> <span class="k">for</span> <span class="n">ds</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">]</span>
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">out</span> <span class="o">=</span> <span class="n">out</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+        <span class="k">return</span> <span class="n">out</span>
+
+    <span class="k">def</span> <span class="nf">_getattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dset</span><span class="p">,</span> <span class="n">attr</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get attribute from single data member.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">dset</span><span class="o">.</span><span class="n">sx</span><span class="p">,</span> <span class="n">attr</span><span class="p">,</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">dset</span><span class="p">,</span> <span class="n">attr</span><span class="p">))</span>
+
+    <span class="k">def</span> <span class="nf">_getitem</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dset</span><span class="p">,</span> <span class="n">item</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get item from single data member.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="n">dset</span><span class="o">.</span><span class="n">sx</span><span class="p">[</span><span class="n">item</span><span class="p">]</span> <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">dset</span><span class="p">,</span> <span class="s1">&#39;sx&#39;</span><span class="p">)</span> <span class="k">else</span> <span class="n">dset</span><span class="p">[</span><span class="n">item</span><span class="p">]</span>
+
+<div class="viewcode-block" id="Sup3rDataset.rewrap">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset.rewrap">[docs]</a>
+    <span class="k">def</span> <span class="nf">rewrap</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Rewrap data as ``Sup3rDataset`` after calling parent method.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="p">)):</span>
+            <span class="k">return</span> <span class="n">data</span>
+        <span class="k">return</span> <span class="p">(</span>
+            <span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="p">)(</span><span class="n">low_res</span><span class="o">=</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">high_res</span><span class="o">=</span><span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+            <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">1</span>
+            <span class="k">else</span> <span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="p">)(</span><span class="n">high_res</span><span class="o">=</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+        <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Sup3rDataset.sample">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset.sample">[docs]</a>
+    <span class="k">def</span> <span class="nf">sample</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">idx</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get samples from ``self._ds`` members. idx should be either a tuple</span>
+<span class="sd">        of slices for the dimensions (south_north, west_east, time) and a list</span>
+<span class="sd">        of feature names or a 2-tuple of the same, for dual datasets.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">:</span>
+            <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">d</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="n">idx</span><span class="p">[</span><span class="n">i</span><span class="p">])</span> <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">d</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="p">))</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="n">idx</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Sup3rDataset.isel">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset.isel">[docs]</a>
+    <span class="k">def</span> <span class="nf">isel</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return new Sup3rDataset with isel applied to each member.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">rewrap</span><span class="p">(</span><span class="nb">tuple</span><span class="p">(</span><span class="n">d</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> <span class="k">for</span> <span class="n">d</span> <span class="ow">in</span> <span class="bp">self</span><span class="p">))</span></div>
+
+
+    <span class="k">def</span> <span class="fm">__getitem__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">keys</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;If keys is an int this is interpreted as a request for that member</span>
+<span class="sd">        of ``self._ds``. Otherwise, if there&#39;s only a single member of</span>
+<span class="sd">        ``self._ds`` we get self._ds[-1][keys]. If there&#39;s two members we get</span>
+<span class="sd">        ``(self._ds[0][keys], self._ds[1][keys])`` and cast this back to a</span>
+<span class="sd">        ``Sup3rDataset`` if each of ``self._ds[i][keys]`` is a ``Sup3rX``</span>
+<span class="sd">        object&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">keys</span><span class="p">,</span> <span class="nb">int</span><span class="p">):</span>
+            <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="n">keys</span><span class="p">]</span>
+
+        <span class="n">out</span> <span class="o">=</span> <span class="nb">tuple</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_getitem</span><span class="p">(</span><span class="n">d</span><span class="p">,</span> <span class="n">keys</span><span class="p">)</span> <span class="k">for</span> <span class="n">d</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">)</span>
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">out</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+        <span class="k">if</span> <span class="nb">all</span><span class="p">(</span><span class="nb">isinstance</span><span class="p">(</span><span class="n">o</span><span class="p">,</span> <span class="n">Sup3rX</span><span class="p">)</span> <span class="k">for</span> <span class="n">o</span> <span class="ow">in</span> <span class="n">out</span><span class="p">):</span>
+            <span class="k">return</span> <span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="p">)(</span><span class="o">**</span><span class="nb">dict</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="o">.</span><span class="n">_fields</span><span class="p">,</span> <span class="n">out</span><span class="p">)))</span>
+        <span class="k">return</span> <span class="n">out</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">shape</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;We use the shape of the largest data member. These are assumed to be</span>
+<span class="sd">        ordered as (low-res, high-res) if there are two members.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">features</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;The features are determined by the set of features from all data</span>
+<span class="sd">        members.&quot;&quot;&quot;</span>
+        <span class="n">feats</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="n">f</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">features</span> <span class="k">if</span> <span class="n">f</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">features</span>
+        <span class="p">]</span>
+        <span class="n">feats</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">features</span>
+        <span class="k">return</span> <span class="n">feats</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">size</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return number of elements in the largest data member.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="fm">__contains__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">vals</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check for vals in all of the dset members.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="nb">any</span><span class="p">(</span><span class="n">d</span><span class="o">.</span><span class="n">sx</span><span class="o">.</span><span class="fm">__contains__</span><span class="p">(</span><span class="n">vals</span><span class="p">)</span> <span class="k">for</span> <span class="n">d</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="fm">__setitem__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">keys</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Set dset member values. Check if values is a tuple / list and if</span>
+<span class="sd">        so interpret this as sending a tuple / list element to each dset</span>
+<span class="sd">        member. e.g. ``vals[0] -&gt; dsets[0]``, ``vals[1] -&gt; dsets[1]``, etc&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="fm">__setitem__</span><span class="p">(</span><span class="n">keys</span><span class="p">,</span> <span class="n">data</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">self_i</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+                <span class="n">dat</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="p">(</span><span class="nb">tuple</span><span class="p">,</span> <span class="nb">list</span><span class="p">))</span> <span class="k">else</span> <span class="n">data</span>
+                <span class="n">self_i</span><span class="o">.</span><span class="fm">__setitem__</span><span class="p">(</span><span class="n">keys</span><span class="p">,</span> <span class="n">dat</span><span class="p">)</span>
+
+<div class="viewcode-block" id="Sup3rDataset.mean">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset.mean">[docs]</a>
+    <span class="k">def</span> <span class="nf">mean</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Use the high_res members to compute the means. These are used for</span>
+<span class="sd">        normalization during training.&quot;&quot;&quot;</span>
+        <span class="n">kwargs</span><span class="p">[</span><span class="s1">&#39;skipna&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;skipna&#39;</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Sup3rDataset.std">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset.std">[docs]</a>
+    <span class="k">def</span> <span class="nf">std</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Use the high_res members to compute the stds. These are used for</span>
+<span class="sd">        normalization during training.&quot;&quot;&quot;</span>
+        <span class="n">kwargs</span><span class="p">[</span><span class="s1">&#39;skipna&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;skipna&#39;</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Sup3rDataset.normalize">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset.normalize">[docs]</a>
+    <span class="k">def</span> <span class="nf">normalize</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">means</span><span class="p">,</span> <span class="n">stds</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Normalize dataset using the given mean and stds. These are provided</span>
+<span class="sd">        as dictionaries.&quot;&quot;&quot;</span>
+        <span class="n">_</span> <span class="o">=</span> <span class="p">[</span><span class="n">d</span><span class="o">.</span><span class="n">normalize</span><span class="p">(</span><span class="n">means</span><span class="o">=</span><span class="n">means</span><span class="p">,</span> <span class="n">stds</span><span class="o">=</span><span class="n">stds</span><span class="p">)</span> <span class="k">for</span> <span class="n">d</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">]</span></div>
+
+
+<div class="viewcode-block" id="Sup3rDataset.compute">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset.compute">[docs]</a>
+    <span class="k">def</span> <span class="nf">compute</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Load data into memory for each data member.&quot;&quot;&quot;</span>
+        <span class="n">_</span> <span class="o">=</span> <span class="p">[</span><span class="n">d</span><span class="o">.</span><span class="n">compute</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> <span class="k">for</span> <span class="n">d</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">]</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">loaded</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if all data members have been loaded into memory.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="nb">all</span><span class="p">(</span><span class="n">d</span><span class="o">.</span><span class="n">loaded</span> <span class="k">for</span> <span class="n">d</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ds</span><span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="Container">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container">[docs]</a>
+<span class="k">class</span> <span class="nc">Container</span><span class="p">(</span><span class="n">metaclass</span><span class="o">=</span><span class="n">Sup3rMeta</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Basic fundamental object used to build preprocessing objects. Contains</span>
+<span class="sd">    an xarray-like Dataset (:class:`~.accessor.Sup3rX`), wrapped tuple of</span>
+<span class="sd">    ``Sup3rX`` objects (:class:`.Sup3rDataset`), or a tuple of such objects.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="vm">__slots__</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;_data&#39;</span><span class="p">]</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">data</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span>
+            <span class="n">Sup3rX</span><span class="p">,</span> <span class="n">Sup3rDataset</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Sup3rX</span><span class="p">,</span> <span class="o">...</span><span class="p">],</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Sup3rDataset</span><span class="p">,</span> <span class="o">...</span><span class="p">]</span>
+        <span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        data: Union[Sup3rX, Sup3rDataset, Tuple[Sup3rX, ...],</span>
+<span class="sd">                    Tuple[Sup3rDataset, ...]</span>
+<span class="sd">            Can be an ``xr.Dataset``, a :class:`~.accessor.Sup3rX` object, a</span>
+<span class="sd">            :class:`.Sup3rDataset` object, or a tuple of such objects.</span>
+
+<span class="sd">            Note</span>
+<span class="sd">            ----</span>
+<span class="sd">            ``.data`` will return a :class:`~.Sup3rDataset` object or tuple of</span>
+<span class="sd">            such. This is a tuple when the `.data` attribute belongs to a</span>
+<span class="sd">            :class:`~.collections.base.Collection` object like</span>
+<span class="sd">            :class:`~.batch_handlers.factory.BatchHandler`. Otherwise this is</span>
+<span class="sd">            :class:`~.Sup3rDataset` object, which is either a wrapped 2-tuple</span>
+<span class="sd">            or 1-tuple (e.g. ``len(data) == 2`` or ``len(data) == 1)``. This is</span>
+<span class="sd">            a 2-tuple when ``.data`` belongs to a dual container object like</span>
+<span class="sd">            :class:`~.samplers.DualSampler` and a 1-tuple otherwise.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">data</span> <span class="o">=</span> <span class="n">data</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return underlying data.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        :class:`.Sup3rDataset`</span>
+
+<span class="sd">        See Also</span>
+<span class="sd">        --------</span>
+<span class="sd">        :py:meth:`.wrap`</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_data</span>
+
+    <span class="nd">@data</span><span class="o">.</span><span class="n">setter</span>
+    <span class="k">def</span> <span class="nf">data</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Set data value. Wrap given value depending on type.</span>
+
+<span class="sd">        See Also</span>
+<span class="sd">        --------</span>
+<span class="sd">        :py:meth:`.wrap`&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">wrap</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<div class="viewcode-block" id="Container.wrap">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container.wrap">[docs]</a>
+    <span class="k">def</span> <span class="nf">wrap</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Return a :class:`~.Sup3rDataset` object or tuple of such. This is a</span>
+<span class="sd">        tuple when the `.data` attribute belongs to a</span>
+<span class="sd">        :class:`~.collections.base.Collection` object like</span>
+<span class="sd">        :class:`~.batch_handlers.factory.BatchHandler`. Otherwise this is</span>
+<span class="sd">        :class:`~.Sup3rDataset` object, which is either a wrapped 2-tuple or</span>
+<span class="sd">        1-tuple (e.g. ``len(data) == 2`` or ``len(data) == 1)``. This is a</span>
+<span class="sd">        2-tuple when ``.data`` belongs to a dual container object like</span>
+<span class="sd">        :class:`~.samplers.DualSampler` and a 1-tuple otherwise.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">data</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">data</span>
+
+        <span class="k">if</span> <span class="n">is_type_of</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">Sup3rDataset</span><span class="p">):</span>
+            <span class="k">return</span> <span class="n">data</span>
+
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s1">.data is being set with a &#39;</span>
+                <span class="s1">&#39;2-tuple without explicit dataset names. We will assume &#39;</span>
+                <span class="s1">&#39;first tuple member is low-res and second is high-res.&#39;</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">data</span> <span class="o">=</span> <span class="n">Sup3rDataset</span><span class="p">(</span><span class="n">low_res</span><span class="o">=</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">high_res</span><span class="o">=</span><span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+        <span class="k">elif</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">Sup3rDataset</span><span class="p">):</span>
+            <span class="n">name</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="s1">&#39;name&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span> <span class="ow">or</span> <span class="s1">&#39;high_res&#39;</span>
+            <span class="n">data</span> <span class="o">=</span> <span class="n">Sup3rDataset</span><span class="p">(</span><span class="o">**</span><span class="p">{</span><span class="n">name</span><span class="p">:</span> <span class="n">data</span><span class="p">})</span>
+        <span class="k">return</span> <span class="n">data</span></div>
+
+
+<div class="viewcode-block" id="Container.post_init_log">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container.post_init_log">[docs]</a>
+    <span class="k">def</span> <span class="nf">post_init_log</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">args_dict</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Log additional arguments after initialization.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">args_dict</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;Finished initializing </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s1"> with:</span><span class="se">\n</span><span class="s1">&#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">pprint</span><span class="o">.</span><span class="n">pformat</span><span class="p">(</span><span class="n">args_dict</span><span class="p">,</span><span class="w"> </span><span class="n">indent</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="p">)</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">shape</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get shape of underlying data.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span>
+
+    <span class="k">def</span> <span class="fm">__contains__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">vals</span><span class="p">):</span>
+        <span class="k">return</span> <span class="n">vals</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span>
+
+    <span class="k">def</span> <span class="fm">__getitem__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">keys</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get item from underlying data. ``.data`` is a ``Sup3rX`` or</span>
+<span class="sd">        ``Sup3rDataset`` object, so this uses those ``__getitem__`` methods.</span>
+
+<span class="sd">        See Also</span>
+<span class="sd">        --------</span>
+<span class="sd">        :py:meth:`.accessor.Sup3rX.__getitem__`,</span>
+<span class="sd">        :py:meth:`.Sup3rDataset.__getitem__`</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">keys</span><span class="p">]</span>
+
+    <span class="k">def</span> <span class="fm">__setitem__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">keys</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Set item in underlying data.&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="fm">__setitem__</span><span class="p">(</span><span class="n">keys</span><span class="p">,</span> <span class="n">data</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="fm">__getattr__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">attr</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if attribute is available from ``.data``&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">attr</span> <span class="ow">in</span> <span class="nb">dir</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+            <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="fm">__getattribute__</span><span class="p">(</span><span class="n">attr</span><span class="p">)</span>
+        <span class="k">try</span><span class="p">:</span>
+            <span class="n">data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="fm">__getattribute__</span><span class="p">(</span><span class="s1">&#39;_data&#39;</span><span class="p">)</span>
+            <span class="k">return</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">attr</span><span class="p">)</span>
+        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s1"> object has no attribute &quot;</span><span class="si">{</span><span class="n">attr</span><span class="si">}</span><span class="s1">&quot;&#39;</span>
+            <span class="k">raise</span> <span class="ne">AttributeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span></div>
+
+</pre></div>
+
+                </article>
+              
+
+              
+              
+              
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+                <footer class="prev-next-footer d-print-none">
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+  <h1>Source code for sup3r.preprocessing.batch_handlers.dc</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Data centric batch handlers. Sample contained data according to</span>
+<span class="sd">spatiotemporal weights, which are derived from losses on validation data during</span>
+<span class="sd">training and updated each epoch.</span>
+
+<span class="sd">TODO: Easy to implement dual dc batch handler - Just need to use DualBatchQueue</span>
+<span class="sd">and override SamplerDC get_sample_index method.</span>
+<span class="sd">&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+
+<span class="kn">from</span> <span class="nn">..batch_queues.dc</span> <span class="kn">import</span> <span class="n">BatchQueueDC</span><span class="p">,</span> <span class="n">ValBatchQueueDC</span>
+<span class="kn">from</span> <span class="nn">..samplers.dc</span> <span class="kn">import</span> <span class="n">SamplerDC</span>
+<span class="kn">from</span> <span class="nn">..utilities</span> <span class="kn">import</span> <span class="n">log_args</span>
+<span class="kn">from</span> <span class="nn">.factory</span> <span class="kn">import</span> <span class="n">BatchHandlerFactory</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<span class="n">BaseDC</span> <span class="o">=</span> <span class="n">BatchHandlerFactory</span><span class="p">(</span>
+    <span class="n">BatchQueueDC</span><span class="p">,</span> <span class="n">SamplerDC</span><span class="p">,</span> <span class="n">ValBatchQueueDC</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">&#39;BaseDC&#39;</span>
+<span class="p">)</span>
+
+
+<div class="viewcode-block" id="BatchHandlerDC">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC">[docs]</a>
+<span class="k">class</span> <span class="nc">BatchHandlerDC</span><span class="p">(</span><span class="n">BaseDC</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Data-Centric BatchHandler. This is used to adaptively select data</span>
+<span class="sd">    from lower performing spatiotemporal extents during training. To do this,</span>
+<span class="sd">    validation data is required, as it is used to compute losses within fixed</span>
+<span class="sd">    spatiotemporal bins which are then used as sampling probabilities for those</span>
+<span class="sd">    same regions when building batches.</span>
+
+<span class="sd">    See Also</span>
+<span class="sd">    --------</span>
+<span class="sd">    :class:`~sup3r.preprocessing.batch_queues.dc.BatchQueueDC`,</span>
+<span class="sd">    :class:`~sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC`,</span>
+<span class="sd">    :class:`~sup3r.preprocessing.samplers.dc.SamplerDC`,</span>
+<span class="sd">    :func:`~.factory.BatchHandlerFactory`</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="nd">@log_args</span>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">train_containers</span><span class="p">,</span> <span class="n">val_containers</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s1"> requires validation data. If you &#39;</span>
+            <span class="s1">&#39;do not plan to sample training data based on performance &#39;</span>
+            <span class="s1">&#39;across validation data use another type of batch handler.&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="n">val_containers</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">val_containers</span> <span class="o">!=</span> <span class="p">[],</span> <span class="n">msg</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span>
+            <span class="n">train_containers</span><span class="o">=</span><span class="n">train_containers</span><span class="p">,</span>
+            <span class="n">val_containers</span><span class="o">=</span><span class="n">val_containers</span><span class="p">,</span>
+            <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="n">max_space_bins</span> <span class="o">=</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">*</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span>
+        <span class="p">)</span>
+        <span class="n">max_time_bins</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;The requested sample_shape </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="si">}</span><span class="s1"> is too large &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;for the requested number of bins (space = </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">n_space_bins</span><span class="si">}</span><span class="s1">, &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;time = </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">n_time_bins</span><span class="si">}</span><span class="s1">) and the shape of the sample data &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="mi">3</span><span class="p">]</span><span class="si">}</span><span class="s1">.&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_space_bins</span> <span class="o">&lt;=</span> <span class="n">max_space_bins</span><span class="p">,</span> <span class="n">msg</span>
+        <span class="k">assert</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_time_bins</span> <span class="o">&lt;=</span> <span class="n">max_time_bins</span><span class="p">,</span> <span class="n">msg</span>
+
+    <span class="n">_signature_objs</span> <span class="o">=</span> <span class="p">(</span><span class="fm">__init__</span><span class="p">,</span> <span class="n">BaseDC</span><span class="p">)</span>
+    <span class="n">_skip_params</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;samplers&#39;</span><span class="p">,</span> <span class="s1">&#39;data&#39;</span><span class="p">,</span> <span class="s1">&#39;thread_name&#39;</span><span class="p">,</span> <span class="s1">&#39;kwargs&#39;</span><span class="p">)</span></div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.preprocessing.batch_handlers.factory</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;BatchHandler factory. Builds BatchHandler objects from batch queues and</span>
+<span class="sd">samplers.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">TYPE_CHECKING</span><span class="p">,</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Type</span><span class="p">,</span> <span class="n">Union</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.batch_queues.base</span> <span class="kn">import</span> <span class="n">SingleBatchQueue</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.batch_queues.conditional</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">QueueMom1</span><span class="p">,</span>
+    <span class="n">QueueMom1SF</span><span class="p">,</span>
+    <span class="n">QueueMom2</span><span class="p">,</span>
+    <span class="n">QueueMom2Sep</span><span class="p">,</span>
+    <span class="n">QueueMom2SepSF</span><span class="p">,</span>
+    <span class="n">QueueMom2SF</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.batch_queues.dual</span> <span class="kn">import</span> <span class="n">DualBatchQueue</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.collections.stats</span> <span class="kn">import</span> <span class="n">StatsCollection</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.samplers.base</span> <span class="kn">import</span> <span class="n">Sampler</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.samplers.cc</span> <span class="kn">import</span> <span class="n">DualSamplerCC</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.samplers.dual</span> <span class="kn">import</span> <span class="n">DualSampler</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">check_signatures</span><span class="p">,</span>
+    <span class="n">get_class_kwargs</span><span class="p">,</span>
+    <span class="n">log_args</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="k">if</span> <span class="n">TYPE_CHECKING</span><span class="p">:</span>
+    <span class="kn">from</span> <span class="nn">sup3r.preprocessing.base</span> <span class="kn">import</span> <span class="n">Container</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="BatchHandlerFactory">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerFactory.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerFactory">[docs]</a>
+<span class="k">def</span> <span class="nf">BatchHandlerFactory</span><span class="p">(</span>
+    <span class="n">MainQueueClass</span><span class="p">,</span> <span class="n">SamplerClass</span><span class="p">,</span> <span class="n">ValQueueClass</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">&#39;BatchHandler&#39;</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;BatchHandler factory. Can build handlers from different queue classes</span>
+<span class="sd">    and sampler classes. For example, to build a standard</span>
+<span class="sd">    :class:`.BatchHandler` use</span>
+<span class="sd">    :class:`~sup3r.preprocessing.batch_queues.SingleBatchQueue` and</span>
+<span class="sd">    :class:`~sup3r.preprocessing.samplers.Sampler`. To build a</span>
+<span class="sd">    :class:`~.DualBatchHandler` use</span>
+<span class="sd">    :class:`~sup3r.preprocessing.batch_queues.DualBatchQueue` and</span>
+<span class="sd">    :class:`~sup3r.preprocessing.samplers.DualSampler`. To build a</span>
+<span class="sd">    :class:`~..dc.BatchHandlerDC` use a</span>
+<span class="sd">    :class:`~sup3r.preprocessing.batch_queues.BatchQueueDC`,</span>
+<span class="sd">    :class:`~sup3r.preprocessing.batch_queues.ValBatchQueueDC` and</span>
+<span class="sd">    :class:`~sup3r.preprocessing.samplers.SamplerDC`</span>
+
+<span class="sd">    Note</span>
+<span class="sd">    ----</span>
+<span class="sd">    (1) BatchHandlers include a queue for training samples and a queue for</span>
+<span class="sd">    validation samples.</span>
+<span class="sd">    (2) There is no need to generate &quot;Spatial&quot; batch handlers. Using</span>
+<span class="sd">    :class:`Sampler` objects with a single time step in the sample shape will</span>
+<span class="sd">    produce batches without a time dimension.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">class</span> <span class="nc">BatchHandler</span><span class="p">(</span><span class="n">MainQueueClass</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;BatchHandler object built from two lists of</span>
+<span class="sd">        :class:`~sup3r.preprocessing.base.Container` objects, one with</span>
+<span class="sd">        training data and one with validation data. These lists will be used</span>
+<span class="sd">        to initialize lists of class:`Sampler` objects that will then be used</span>
+<span class="sd">        to build batches at run time.</span>
+
+<span class="sd">        Notes</span>
+<span class="sd">        -----</span>
+<span class="sd">        These lists of containers can contain data from the same underlying</span>
+<span class="sd">        data source (e.g. CONUS WTK) (e.g. initialize train / val containers</span>
+<span class="sd">        with different time period and / or regions, or they can be used to</span>
+<span class="sd">        sample from completely different data sources (e.g. train on CONUS WTK</span>
+<span class="sd">        while validating on Canada WTK).</span>
+
+<span class="sd">        See Also</span>
+<span class="sd">        --------</span>
+<span class="sd">        :class:`~sup3r.preprocessing.samplers.Sampler`,</span>
+<span class="sd">        :class:`~sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue`,</span>
+<span class="sd">        :class:`~sup3r.preprocessing.collections.StatsCollection`</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">TRAIN_QUEUE</span> <span class="o">=</span> <span class="n">MainQueueClass</span>
+        <span class="n">VAL_QUEUE</span> <span class="o">=</span> <span class="n">ValQueueClass</span> <span class="ow">or</span> <span class="n">MainQueueClass</span>
+        <span class="n">SAMPLER</span> <span class="o">=</span> <span class="n">SamplerClass</span>
+
+        <span class="vm">__name__</span> <span class="o">=</span> <span class="n">name</span>
+
+        <span class="nd">@log_args</span>
+        <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+            <span class="bp">self</span><span class="p">,</span>
+            <span class="n">train_containers</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="s1">&#39;Container&#39;</span><span class="p">],</span>
+            <span class="n">val_containers</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="s1">&#39;Container&#39;</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+            <span class="n">sample_shape</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">tuple</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+            <span class="n">batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">16</span><span class="p">,</span>
+            <span class="n">n_batches</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">64</span><span class="p">,</span>
+            <span class="n">s_enhance</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
+            <span class="n">t_enhance</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
+            <span class="n">means</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="n">Dict</span><span class="p">,</span> <span class="nb">str</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+            <span class="n">stds</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="n">Dict</span><span class="p">,</span> <span class="nb">str</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+            <span class="n">queue_cap</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+            <span class="n">transform_kwargs</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+            <span class="n">max_workers</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
+            <span class="n">mode</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;lazy&#39;</span><span class="p">,</span>
+            <span class="n">feature_sets</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+            <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+        <span class="p">):</span>
+<span class="w">            </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">            Parameters</span>
+<span class="sd">            ----------</span>
+<span class="sd">            train_containers : List[Container]</span>
+<span class="sd">                List of objects with a `.data` attribute, which will be used</span>
+<span class="sd">                to initialize Sampler objects and then used to initialize a</span>
+<span class="sd">                batch queue of training data. The data can be a Sup3rX or</span>
+<span class="sd">                Sup3rDataset object.</span>
+<span class="sd">            val_containers : List[Container]</span>
+<span class="sd">                List of objects with a `.data` attribute, which will be used</span>
+<span class="sd">                to initialize Sampler objects and then used to initialize a</span>
+<span class="sd">                batch queue of validation data. The data can be a Sup3rX or a</span>
+<span class="sd">                Sup3rDataset object.</span>
+<span class="sd">            batch_size : int</span>
+<span class="sd">                Number of samples to get to build a single batch. A sample of</span>
+<span class="sd">                (sample_shape[0], sample_shape[1], batch_size *</span>
+<span class="sd">                sample_shape[2]) is first selected from underlying dataset</span>
+<span class="sd">                and then reshaped into (batch_size, *sample_shape) to get a</span>
+<span class="sd">                single batch. This is more efficient than getting N =</span>
+<span class="sd">                batch_size samples and then stacking.</span>
+<span class="sd">            n_batches : int</span>
+<span class="sd">                Number of batches in an epoch, this sets the iteration limit</span>
+<span class="sd">                for this object.</span>
+<span class="sd">            s_enhance : int</span>
+<span class="sd">                Integer factor by which the spatial axes is to be enhanced.</span>
+<span class="sd">            t_enhance : int</span>
+<span class="sd">                Integer factor by which the temporal axes is to be enhanced.</span>
+<span class="sd">            means : str | dict | None</span>
+<span class="sd">                Usually a file path for loading / saving results, or None for</span>
+<span class="sd">                just calculating stats and not saving. Can also be a dict.</span>
+<span class="sd">            stds : str | dict | None</span>
+<span class="sd">                Usually a file path for loading / saving results, or None for</span>
+<span class="sd">                just calculating stats and not saving. Can also be a dict.</span>
+<span class="sd">            queue_cap : int</span>
+<span class="sd">                Maximum number of batches the batch queue can store. Changing</span>
+<span class="sd">                this can effect the speed with which batches move through</span>
+<span class="sd">                training.</span>
+<span class="sd">            transform_kwargs : Union[Dict, None]</span>
+<span class="sd">                Dictionary of kwargs to be passed to `self.transform`. This</span>
+<span class="sd">                method performs smoothing / coarsening.</span>
+<span class="sd">            max_workers : int</span>
+<span class="sd">                Number of workers / threads to use for getting batches to fill</span>
+<span class="sd">                queue</span>
+<span class="sd">            mode : str</span>
+<span class="sd">                Loading mode. Default is &#39;lazy&#39;, which only loads data into</span>
+<span class="sd">                memory as batches are queued. &#39;eager&#39; will load all data into</span>
+<span class="sd">                memory right away.</span>
+<span class="sd">            feature_sets : Optional[dict]</span>
+<span class="sd">                Optional dictionary describing how the full set of features is</span>
+<span class="sd">                split between `lr_only_features` and `hr_exo_features`.</span>
+
+<span class="sd">                features : list | tuple</span>
+<span class="sd">                    List of full set of features to use for sampling. If no</span>
+<span class="sd">                    entry is provided then all data_vars from container data</span>
+<span class="sd">                    will be used.</span>
+<span class="sd">                lr_only_features : list | tuple</span>
+<span class="sd">                    List of feature names or patt*erns that should only be</span>
+<span class="sd">                    included in the low-res training set and not the high-res</span>
+<span class="sd">                    observations. This</span>
+<span class="sd">                hr_exo_features : list | tuple</span>
+<span class="sd">                    List of feature names or patt*erns that should be included</span>
+<span class="sd">                    in the high-resolution observation but not expected to be</span>
+<span class="sd">                    output from the generative model. An example is high-res</span>
+<span class="sd">                    topography that is to be injected mid-network.</span>
+<span class="sd">            kwargs : dict</span>
+<span class="sd">                Additional keyword arguments for BatchQueue and / or Samplers.</span>
+<span class="sd">                This can vary depending on the type of BatchQueue / Sampler</span>
+<span class="sd">                given to the Factory. For example, to build a</span>
+<span class="sd">                :class:`~sup3r.preprocessing.batch_handlers.BatchHandlerDC`</span>
+<span class="sd">                object (data-centric batch handler) we use a queue and sampler</span>
+<span class="sd">                which takes spatial and temporal weight / bin arguments used to</span>
+<span class="sd">                determine how to weigh spatiotemporal regions when sampling.</span>
+<span class="sd">                Using</span>
+<span class="sd">                :class:`~sup3r.preprocessing.batch_queues.ConditionalBatchQueue`</span>
+<span class="sd">                will result in arguments for computing moments from batches and</span>
+<span class="sd">                how to pad batch data to enable these calculations.</span>
+<span class="sd">            &quot;&quot;&quot;</span>  <span class="c1"># pylint: disable=line-too-long</span>
+
+            <span class="n">check_signatures</span><span class="p">((</span><span class="bp">self</span><span class="o">.</span><span class="n">TRAIN_QUEUE</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">VAL_QUEUE</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">SAMPLER</span><span class="p">))</span>
+
+            <span class="n">add_kwargs</span> <span class="o">=</span> <span class="p">{</span>
+                <span class="s1">&#39;s_enhance&#39;</span><span class="p">:</span> <span class="n">s_enhance</span><span class="p">,</span>
+                <span class="s1">&#39;t_enhance&#39;</span><span class="p">:</span> <span class="n">t_enhance</span><span class="p">,</span>
+                <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+            <span class="p">}</span>
+
+            <span class="n">sampler_kwargs</span> <span class="o">=</span> <span class="n">get_class_kwargs</span><span class="p">(</span><span class="n">SamplerClass</span><span class="p">,</span> <span class="n">add_kwargs</span><span class="p">)</span>
+            <span class="n">val_kwargs</span> <span class="o">=</span> <span class="n">get_class_kwargs</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">VAL_QUEUE</span><span class="p">,</span> <span class="n">add_kwargs</span><span class="p">)</span>
+            <span class="n">main_kwargs</span> <span class="o">=</span> <span class="n">get_class_kwargs</span><span class="p">(</span><span class="n">MainQueueClass</span><span class="p">,</span> <span class="n">add_kwargs</span><span class="p">)</span>
+
+            <span class="n">bad_kwargs</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="nb">set</span><span class="p">(</span><span class="n">kwargs</span><span class="p">)</span>
+                <span class="o">-</span> <span class="nb">set</span><span class="p">(</span><span class="n">sampler_kwargs</span><span class="p">)</span>
+                <span class="o">-</span> <span class="nb">set</span><span class="p">(</span><span class="n">val_kwargs</span><span class="p">)</span>
+                <span class="o">-</span> <span class="nb">set</span><span class="p">(</span><span class="n">main_kwargs</span><span class="p">)</span>
+            <span class="p">)</span>
+
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s1"> received bad &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;kwargs = </span><span class="si">{</span><span class="n">bad_kwargs</span><span class="si">}</span><span class="s1">.&#39;</span>
+            <span class="p">)</span>
+            <span class="k">assert</span> <span class="ow">not</span> <span class="n">bad_kwargs</span><span class="p">,</span> <span class="n">msg</span>
+
+            <span class="n">train_samplers</span><span class="p">,</span> <span class="n">val_samplers</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">init_samplers</span><span class="p">(</span>
+                <span class="n">train_containers</span><span class="p">,</span>
+                <span class="n">val_containers</span><span class="p">,</span>
+                <span class="n">sample_shape</span><span class="o">=</span><span class="n">sample_shape</span><span class="p">,</span>
+                <span class="n">feature_sets</span><span class="o">=</span><span class="n">feature_sets</span><span class="p">,</span>
+                <span class="n">batch_size</span><span class="o">=</span><span class="n">batch_size</span><span class="p">,</span>
+                <span class="n">sampler_kwargs</span><span class="o">=</span><span class="n">sampler_kwargs</span><span class="p">,</span>
+            <span class="p">)</span>
+
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Normalizing training samplers&#39;</span><span class="p">)</span>
+            <span class="n">stats</span> <span class="o">=</span> <span class="n">StatsCollection</span><span class="p">(</span>
+                <span class="n">containers</span><span class="o">=</span><span class="n">train_samplers</span><span class="p">,</span>
+                <span class="n">means</span><span class="o">=</span><span class="n">means</span><span class="p">,</span>
+                <span class="n">stds</span><span class="o">=</span><span class="n">stds</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">means</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">means</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">stds</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">stds</span>
+
+            <span class="k">if</span> <span class="ow">not</span> <span class="n">val_samplers</span><span class="p">:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">val_data</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">List</span><span class="p">,</span> <span class="n">Type</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">VAL_QUEUE</span><span class="p">]]</span> <span class="o">=</span> <span class="p">[]</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Normalizing validation samplers.&#39;</span><span class="p">)</span>
+                <span class="n">stats</span><span class="o">.</span><span class="n">normalize</span><span class="p">(</span><span class="n">val_samplers</span><span class="p">)</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">val_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">VAL_QUEUE</span><span class="p">(</span>
+                    <span class="n">samplers</span><span class="o">=</span><span class="n">val_samplers</span><span class="p">,</span>
+                    <span class="n">n_batches</span><span class="o">=</span><span class="n">n_batches</span><span class="p">,</span>
+                    <span class="n">thread_name</span><span class="o">=</span><span class="s1">&#39;validation&#39;</span><span class="p">,</span>
+                    <span class="n">batch_size</span><span class="o">=</span><span class="n">batch_size</span><span class="p">,</span>
+                    <span class="n">queue_cap</span><span class="o">=</span><span class="n">queue_cap</span><span class="p">,</span>
+                    <span class="n">transform_kwargs</span><span class="o">=</span><span class="n">transform_kwargs</span><span class="p">,</span>
+                    <span class="n">max_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">,</span>
+                    <span class="n">mode</span><span class="o">=</span><span class="n">mode</span><span class="p">,</span>
+                    <span class="o">**</span><span class="n">val_kwargs</span><span class="p">,</span>
+                <span class="p">)</span>
+            <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span>
+                <span class="n">samplers</span><span class="o">=</span><span class="n">train_samplers</span><span class="p">,</span>
+                <span class="n">n_batches</span><span class="o">=</span><span class="n">n_batches</span><span class="p">,</span>
+                <span class="n">batch_size</span><span class="o">=</span><span class="n">batch_size</span><span class="p">,</span>
+                <span class="n">queue_cap</span><span class="o">=</span><span class="n">queue_cap</span><span class="p">,</span>
+                <span class="n">transform_kwargs</span><span class="o">=</span><span class="n">transform_kwargs</span><span class="p">,</span>
+                <span class="n">max_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">,</span>
+                <span class="n">mode</span><span class="o">=</span><span class="n">mode</span><span class="p">,</span>
+                <span class="o">**</span><span class="n">main_kwargs</span><span class="p">,</span>
+            <span class="p">)</span>
+
+        <span class="n">_skip_params</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;samplers&#39;</span><span class="p">,</span> <span class="s1">&#39;data&#39;</span><span class="p">,</span> <span class="s1">&#39;containers&#39;</span><span class="p">,</span> <span class="s1">&#39;thread_name&#39;</span><span class="p">)</span>
+        <span class="n">_signature_objs</span> <span class="o">=</span> <span class="p">(</span><span class="fm">__init__</span><span class="p">,</span> <span class="n">SAMPLER</span><span class="p">,</span> <span class="n">VAL_QUEUE</span><span class="p">,</span> <span class="n">TRAIN_QUEUE</span><span class="p">)</span>
+
+        <span class="k">def</span> <span class="nf">init_samplers</span><span class="p">(</span>
+            <span class="bp">self</span><span class="p">,</span>
+            <span class="n">train_containers</span><span class="p">,</span>
+            <span class="n">val_containers</span><span class="p">,</span>
+            <span class="n">sample_shape</span><span class="p">,</span>
+            <span class="n">feature_sets</span><span class="p">,</span>
+            <span class="n">batch_size</span><span class="p">,</span>
+            <span class="n">sampler_kwargs</span><span class="p">,</span>
+        <span class="p">):</span>
+<span class="w">            </span><span class="sd">&quot;&quot;&quot;Initialize samplers from given data containers.&quot;&quot;&quot;</span>
+            <span class="n">train_samplers</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">SAMPLER</span><span class="p">(</span>
+                    <span class="n">data</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">data</span><span class="p">,</span>
+                    <span class="n">sample_shape</span><span class="o">=</span><span class="n">sample_shape</span><span class="p">,</span>
+                    <span class="n">feature_sets</span><span class="o">=</span><span class="n">feature_sets</span><span class="p">,</span>
+                    <span class="n">batch_size</span><span class="o">=</span><span class="n">batch_size</span><span class="p">,</span>
+                    <span class="o">**</span><span class="n">sampler_kwargs</span><span class="p">,</span>
+                <span class="p">)</span>
+                <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="n">train_containers</span>
+            <span class="p">]</span>
+            <span class="n">val_samplers</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="p">[]</span>
+                <span class="k">if</span> <span class="n">val_containers</span> <span class="ow">is</span> <span class="kc">None</span>
+                <span class="k">else</span> <span class="p">[</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">SAMPLER</span><span class="p">(</span>
+                        <span class="n">data</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">data</span><span class="p">,</span>
+                        <span class="n">sample_shape</span><span class="o">=</span><span class="n">sample_shape</span><span class="p">,</span>
+                        <span class="n">feature_sets</span><span class="o">=</span><span class="n">feature_sets</span><span class="p">,</span>
+                        <span class="n">batch_size</span><span class="o">=</span><span class="n">batch_size</span><span class="p">,</span>
+                        <span class="o">**</span><span class="n">sampler_kwargs</span><span class="p">,</span>
+                    <span class="p">)</span>
+                    <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="n">val_containers</span>
+                <span class="p">]</span>
+            <span class="p">)</span>
+            <span class="k">return</span> <span class="n">train_samplers</span><span class="p">,</span> <span class="n">val_samplers</span>
+
+        <span class="k">def</span> <span class="nf">start</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">            </span><span class="sd">&quot;&quot;&quot;Start the val data batch queue in addition to the train batch</span>
+<span class="sd">            queue.&quot;&quot;&quot;</span>
+            <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">val_data</span><span class="p">,</span> <span class="s1">&#39;start&#39;</span><span class="p">):</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">val_data</span><span class="o">.</span><span class="n">start</span><span class="p">()</span>
+            <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">start</span><span class="p">()</span>
+
+        <span class="k">def</span> <span class="nf">stop</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">            </span><span class="sd">&quot;&quot;&quot;Stop the val data batch queue in addition to the train batch</span>
+<span class="sd">            queue.&quot;&quot;&quot;</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_training_flag</span><span class="o">.</span><span class="n">clear</span><span class="p">()</span>
+            <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">val_data</span> <span class="o">!=</span> <span class="p">[]:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">val_data</span><span class="o">.</span><span class="n">_training_flag</span><span class="o">.</span><span class="n">clear</span><span class="p">()</span>
+            <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">val_data</span><span class="p">,</span> <span class="s1">&#39;stop&#39;</span><span class="p">):</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">val_data</span><span class="o">.</span><span class="n">stop</span><span class="p">()</span>
+            <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">stop</span><span class="p">()</span>
+
+    <span class="k">return</span> <span class="n">BatchHandler</span></div>
+
+
+
+<span class="n">BatchHandler</span> <span class="o">=</span> <span class="n">BatchHandlerFactory</span><span class="p">(</span>
+    <span class="n">SingleBatchQueue</span><span class="p">,</span> <span class="n">Sampler</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">&#39;BatchHandler&#39;</span>
+<span class="p">)</span>
+<span class="n">DualBatchHandler</span> <span class="o">=</span> <span class="n">BatchHandlerFactory</span><span class="p">(</span>
+    <span class="n">DualBatchQueue</span><span class="p">,</span> <span class="n">DualSampler</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">&#39;DualBatchHandler&#39;</span>
+<span class="p">)</span>
+<span class="n">BatchHandlerCC</span> <span class="o">=</span> <span class="n">BatchHandlerFactory</span><span class="p">(</span>
+    <span class="n">DualBatchQueue</span><span class="p">,</span> <span class="n">DualSamplerCC</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">&#39;BatchHandlerCC&#39;</span>
+<span class="p">)</span>
+<span class="n">BatchHandlerMom1</span> <span class="o">=</span> <span class="n">BatchHandlerFactory</span><span class="p">(</span>
+    <span class="n">QueueMom1</span><span class="p">,</span> <span class="n">Sampler</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">&#39;BatchHandlerMom1&#39;</span>
+<span class="p">)</span>
+<span class="n">BatchHandlerMom1SF</span> <span class="o">=</span> <span class="n">BatchHandlerFactory</span><span class="p">(</span>
+    <span class="n">QueueMom1SF</span><span class="p">,</span> <span class="n">Sampler</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">&#39;BatchHandlerMom1SF&#39;</span>
+<span class="p">)</span>
+<span class="n">BatchHandlerMom2</span> <span class="o">=</span> <span class="n">BatchHandlerFactory</span><span class="p">(</span>
+    <span class="n">QueueMom2</span><span class="p">,</span> <span class="n">Sampler</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">&#39;BatchHandlerMom2&#39;</span>
+<span class="p">)</span>
+<span class="n">BatchHandlerMom2Sep</span> <span class="o">=</span> <span class="n">BatchHandlerFactory</span><span class="p">(</span>
+    <span class="n">QueueMom2Sep</span><span class="p">,</span> <span class="n">Sampler</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">&#39;BatchHandlerMom2Sep&#39;</span>
+<span class="p">)</span>
+<span class="n">BatchHandlerMom2SF</span> <span class="o">=</span> <span class="n">BatchHandlerFactory</span><span class="p">(</span>
+    <span class="n">QueueMom2SF</span><span class="p">,</span> <span class="n">Sampler</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">&#39;BatchHandlerMom2F&#39;</span>
+<span class="p">)</span>
+<span class="n">BatchHandlerMom2SepSF</span> <span class="o">=</span> <span class="n">BatchHandlerFactory</span><span class="p">(</span>
+    <span class="n">QueueMom2SepSF</span><span class="p">,</span> <span class="n">Sampler</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">&#39;BatchHandlerMom2SepSF&#39;</span>
+<span class="p">)</span>
+</pre></div>
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
+                  
+<div class="prev-next-area">
+</div>
+                </footer>
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+            
+<div class="bd-footer-content__inner container">
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+    
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+  <h1>Source code for sup3r.preprocessing.batch_queues.abstract</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Abstract batch queue class used for multi-threaded batching / training.</span>
+
+<span class="sd">TODO:</span>
+<span class="sd">    (1) Figure out apparent &quot;blocking&quot; issue with threaded enqueue batches.</span>
+<span class="sd">        max_workers=1 is the fastest?</span>
+<span class="sd">    (2) Setup distributed data handling so this can work with data distributed</span>
+<span class="sd">    over multiple nodes.</span>
+<span class="sd">&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">threading</span>
+<span class="kn">import</span> <span class="nn">time</span>
+<span class="kn">from</span> <span class="nn">abc</span> <span class="kn">import</span> <span class="n">ABC</span><span class="p">,</span> <span class="n">abstractmethod</span>
+<span class="kn">from</span> <span class="nn">collections</span> <span class="kn">import</span> <span class="n">namedtuple</span>
+<span class="kn">from</span> <span class="nn">concurrent.futures</span> <span class="kn">import</span> <span class="n">ThreadPoolExecutor</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">TYPE_CHECKING</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Union</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">tensorflow</span> <span class="k">as</span> <span class="nn">tf</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.collections.base</span> <span class="kn">import</span> <span class="n">Collection</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.utilities</span> <span class="kn">import</span> <span class="n">RANDOM_GENERATOR</span><span class="p">,</span> <span class="n">Timer</span>
+
+<span class="k">if</span> <span class="n">TYPE_CHECKING</span><span class="p">:</span>
+    <span class="kn">from</span> <span class="nn">sup3r.preprocessing.samplers</span> <span class="kn">import</span> <span class="n">DualSampler</span><span class="p">,</span> <span class="n">Sampler</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="AbstractBatchQueue">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue">[docs]</a>
+<span class="k">class</span> <span class="nc">AbstractBatchQueue</span><span class="p">(</span><span class="n">Collection</span><span class="p">,</span> <span class="n">ABC</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Abstract BatchQueue class. This class gets batches from a dataset</span>
+<span class="sd">    generator and maintains a queue of batches in a dedicated thread so the</span>
+<span class="sd">    training routine can proceed as soon as batches are available.&quot;&quot;&quot;</span>
+
+    <span class="n">Batch</span> <span class="o">=</span> <span class="n">namedtuple</span><span class="p">(</span><span class="s1">&#39;Batch&#39;</span><span class="p">,</span> <span class="p">[</span><span class="s1">&#39;low_res&#39;</span><span class="p">,</span> <span class="s1">&#39;high_res&#39;</span><span class="p">])</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">samplers</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="s1">&#39;Sampler&#39;</span><span class="p">],</span> <span class="n">List</span><span class="p">[</span><span class="s1">&#39;DualSampler&#39;</span><span class="p">]],</span>
+        <span class="n">batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">16</span><span class="p">,</span>
+        <span class="n">n_batches</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">64</span><span class="p">,</span>
+        <span class="n">s_enhance</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
+        <span class="n">t_enhance</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
+        <span class="n">queue_cap</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">transform_kwargs</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">max_workers</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
+        <span class="n">thread_name</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;training&#39;</span><span class="p">,</span>
+        <span class="n">mode</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;lazy&#39;</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        samplers : List[Sampler]</span>
+<span class="sd">            List of Sampler instances</span>
+<span class="sd">        batch_size : int</span>
+<span class="sd">            Number of observations / samples in a batch</span>
+<span class="sd">        n_batches : int</span>
+<span class="sd">            Number of batches in an epoch, this sets the iteration limit for</span>
+<span class="sd">            this object.</span>
+<span class="sd">        s_enhance : int</span>
+<span class="sd">            Integer factor by which the spatial axes is to be enhanced.</span>
+<span class="sd">        t_enhance : int</span>
+<span class="sd">            Integer factor by which the temporal axes is to be enhanced.</span>
+<span class="sd">        queue_cap : int</span>
+<span class="sd">            Maximum number of batches the batch queue can store.</span>
+<span class="sd">        transform_kwargs : Union[Dict, None]</span>
+<span class="sd">            Dictionary of kwargs to be passed to `self.transform`. This method</span>
+<span class="sd">            performs smoothing / coarsening.</span>
+<span class="sd">        max_workers : int</span>
+<span class="sd">            Number of workers / threads to use for getting batches to fill</span>
+<span class="sd">            queue</span>
+<span class="sd">        thread_name : str</span>
+<span class="sd">            Name of the queue thread. Default is &#39;training&#39;. Used to set name</span>
+<span class="sd">            to &#39;validation&#39; for :class:`BatchHandler`, which has a training and</span>
+<span class="sd">            validation queue.</span>
+<span class="sd">        mode : str</span>
+<span class="sd">            Loading mode. Default is &#39;lazy&#39;, which only loads data into memory</span>
+<span class="sd">            as batches are queued. &#39;eager&#39; will load all data into memory right</span>
+<span class="sd">            away.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s1"> requires a list of samplers. &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;Received type </span><span class="si">{</span><span class="nb">type</span><span class="p">(</span><span class="n">samplers</span><span class="p">)</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">samplers</span><span class="p">,</span> <span class="nb">list</span><span class="p">),</span> <span class="n">msg</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">containers</span><span class="o">=</span><span class="n">samplers</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_batch_count</span> <span class="o">=</span> <span class="mi">0</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_queue_thread</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_training_flag</span> <span class="o">=</span> <span class="n">threading</span><span class="o">.</span><span class="n">Event</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_thread_name</span> <span class="o">=</span> <span class="n">thread_name</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">mode</span> <span class="o">=</span> <span class="n">mode</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span> <span class="o">=</span> <span class="n">s_enhance</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span> <span class="o">=</span> <span class="n">t_enhance</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">batch_size</span> <span class="o">=</span> <span class="n">batch_size</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">n_batches</span> <span class="o">=</span> <span class="n">n_batches</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">queue_cap</span> <span class="o">=</span> <span class="n">n_batches</span> <span class="k">if</span> <span class="n">queue_cap</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">queue_cap</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">max_workers</span> <span class="o">=</span> <span class="n">max_workers</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">container_index</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_container_index</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">queue</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_queue</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">transform_kwargs</span> <span class="o">=</span> <span class="n">transform_kwargs</span> <span class="ow">or</span> <span class="p">{</span>
+            <span class="s1">&#39;smoothing_ignore&#39;</span><span class="p">:</span> <span class="p">[],</span>
+            <span class="s1">&#39;smoothing&#39;</span><span class="p">:</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="p">}</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">timer</span> <span class="o">=</span> <span class="n">Timer</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">preflight</span><span class="p">()</span>
+
+    <span class="nd">@property</span>
+    <span class="nd">@abstractmethod</span>
+    <span class="k">def</span> <span class="nf">queue_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Shape of objects stored in the queue. e.g. for single dataset queues</span>
+<span class="sd">        this is (batch_size, *sample_shape, len(features)). For dual dataset</span>
+<span class="sd">        queues this is [(batch_size, *lr_shape), (batch_size, *hr_shape)]&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="AbstractBatchQueue.get_queue">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_queue">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_queue</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return FIFO queue for storing batches.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="n">tf</span><span class="o">.</span><span class="n">queue</span><span class="o">.</span><span class="n">FIFOQueue</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">queue_cap</span><span class="p">,</span>
+            <span class="n">dtypes</span><span class="o">=</span><span class="p">[</span><span class="n">tf</span><span class="o">.</span><span class="n">float32</span><span class="p">]</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">queue_shape</span><span class="p">),</span>
+            <span class="n">shapes</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">queue_shape</span><span class="p">,</span>
+        <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="AbstractBatchQueue.preflight">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.preflight">[docs]</a>
+    <span class="k">def</span> <span class="nf">preflight</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Run checks before kicking off the queue.&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">check_features</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">check_enhancement_factors</span><span class="p">()</span>
+        <span class="n">_</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">check_shared_attr</span><span class="p">(</span><span class="s1">&#39;sample_shape&#39;</span><span class="p">)</span>
+
+        <span class="n">sampler_bs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">check_shared_attr</span><span class="p">(</span><span class="s1">&#39;batch_size&#39;</span><span class="p">)</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Samplers have a different batch_size: </span><span class="si">{</span><span class="n">sampler_bs</span><span class="si">}</span><span class="s1"> than the &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;BatchQueue: </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">batch_size</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="n">sampler_bs</span> <span class="o">==</span> <span class="bp">self</span><span class="o">.</span><span class="n">batch_size</span><span class="p">,</span> <span class="n">msg</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">mode</span> <span class="o">==</span> <span class="s1">&#39;eager&#39;</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Received mode = &quot;eager&quot;.&#39;</span><span class="p">)</span>
+            <span class="n">_</span> <span class="o">=</span> <span class="p">[</span><span class="n">c</span><span class="o">.</span><span class="n">compute</span><span class="p">()</span> <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">containers</span><span class="p">]</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">queue_thread</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get new queue thread.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_queue_thread</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_queue_thread</span><span class="o">.</span><span class="n">_is_stopped</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_queue_thread</span> <span class="o">=</span> <span class="n">threading</span><span class="o">.</span><span class="n">Thread</span><span class="p">(</span>
+                <span class="n">target</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">enqueue_batches</span><span class="p">,</span>
+                <span class="n">name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_thread_name</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_queue_thread</span>
+
+<div class="viewcode-block" id="AbstractBatchQueue.check_features">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.check_features">[docs]</a>
+    <span class="k">def</span> <span class="nf">check_features</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Make sure all samplers have the same sets of features.&quot;&quot;&quot;</span>
+        <span class="n">features</span> <span class="o">=</span> <span class="p">[</span><span class="nb">list</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">features</span><span class="p">)</span> <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">containers</span><span class="p">]</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;Received samplers with different sets of features.&#39;</span>
+        <span class="k">assert</span> <span class="nb">all</span><span class="p">(</span><span class="n">feats</span> <span class="o">==</span> <span class="n">features</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="k">for</span> <span class="n">feats</span> <span class="ow">in</span> <span class="n">features</span><span class="p">),</span> <span class="n">msg</span></div>
+
+
+<div class="viewcode-block" id="AbstractBatchQueue.check_enhancement_factors">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.check_enhancement_factors">[docs]</a>
+    <span class="k">def</span> <span class="nf">check_enhancement_factors</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Make sure the enhancement factors evenly divide the sample_shape.&quot;&quot;&quot;</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;The sample_shape </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="si">}</span><span class="s1"> is not consistent with &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;the enhancement factors </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">,</span><span class="w"> </span><span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span><span class="si">}</span><span class="s1">.&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="nb">all</span><span class="p">(</span>
+            <span class="n">samp</span> <span class="o">%</span> <span class="n">enhance</span> <span class="o">==</span> <span class="mi">0</span>
+            <span class="k">for</span> <span class="n">samp</span><span class="p">,</span> <span class="n">enhance</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">,</span>
+                <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span><span class="p">],</span>
+            <span class="p">)</span>
+        <span class="p">),</span> <span class="n">msg</span></div>
+
+
+<div class="viewcode-block" id="AbstractBatchQueue.transform">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.transform">[docs]</a>
+    <span class="nd">@abstractmethod</span>
+    <span class="k">def</span> <span class="nf">transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">samples</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Apply transform on batch samples. This can include smoothing /</span>
+<span class="sd">        coarsening depending on the type of queue. e.g. coarsening could be</span>
+<span class="sd">        included for a single dataset queue where low res samples are coarsened</span>
+<span class="sd">        high res samples. For a dual dataset queue this will just include</span>
+<span class="sd">        smoothing.&quot;&quot;&quot;</span></div>
+
+
+<div class="viewcode-block" id="AbstractBatchQueue.post_proc">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.post_proc">[docs]</a>
+    <span class="k">def</span> <span class="nf">post_proc</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">samples</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Batch</span><span class="p">:</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Performs some post proc on dequeued samples before sending out for</span>
+<span class="sd">        training. Post processing can include coarsening on high-res data (if</span>
+<span class="sd">        :class:`Collection` consists of :class:`Sampler` objects and not</span>
+<span class="sd">        :class:`DualSampler` objects), smoothing, etc</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        Batch : namedtuple</span>
+<span class="sd">             namedtuple with `low_res` and `high_res` attributes</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">lr</span><span class="p">,</span> <span class="n">hr</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">samples</span><span class="p">,</span> <span class="o">**</span><span class="bp">self</span><span class="o">.</span><span class="n">transform_kwargs</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">Batch</span><span class="p">(</span><span class="n">low_res</span><span class="o">=</span><span class="n">lr</span><span class="p">,</span> <span class="n">high_res</span><span class="o">=</span><span class="n">hr</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="AbstractBatchQueue.start">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.start">[docs]</a>
+    <span class="k">def</span> <span class="nf">start</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Start thread to keep sample queue full for batches.&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_training_flag</span><span class="o">.</span><span class="n">set</span><span class="p">()</span>
+        <span class="k">if</span> <span class="p">(</span>
+            <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">queue_thread</span><span class="o">.</span><span class="n">is_alive</span><span class="p">()</span>
+            <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">mode</span> <span class="o">==</span> <span class="s1">&#39;lazy&#39;</span>
+            <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">queue_cap</span> <span class="o">&gt;</span> <span class="mi">0</span>
+        <span class="p">):</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Starting </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">_thread_name</span><span class="si">}</span><span class="s1"> queue.&#39;</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">queue_thread</span><span class="o">.</span><span class="n">start</span><span class="p">()</span></div>
+
+
+<div class="viewcode-block" id="AbstractBatchQueue.stop">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.stop">[docs]</a>
+    <span class="k">def</span> <span class="nf">stop</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Stop loading batches.&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_training_flag</span><span class="o">.</span><span class="n">clear</span><span class="p">()</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">queue_thread</span><span class="o">.</span><span class="n">is_alive</span><span class="p">():</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Stopping </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">_thread_name</span><span class="si">}</span><span class="s1"> queue.&#39;</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">queue_thread</span><span class="o">.</span><span class="n">join</span><span class="p">()</span></div>
+
+
+    <span class="k">def</span> <span class="fm">__len__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_batches</span>
+
+    <span class="k">def</span> <span class="fm">__iter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_batch_count</span> <span class="o">=</span> <span class="mi">0</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">start</span><span class="p">()</span>
+        <span class="k">return</span> <span class="bp">self</span>
+
+<div class="viewcode-block" id="AbstractBatchQueue.get_batch">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_batch">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_batch</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Batch</span><span class="p">:</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get batch from queue or directly from a ``Sampler`` through</span>
+<span class="sd">        ``sample_batch``.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">mode</span> <span class="o">==</span> <span class="s1">&#39;eager&#39;</span>
+            <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">queue_cap</span> <span class="o">==</span> <span class="mi">0</span>
+            <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">queue</span><span class="o">.</span><span class="n">size</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span> <span class="o">==</span> <span class="mi">0</span>
+        <span class="p">):</span>
+            <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_batch</span><span class="p">()</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">queue</span><span class="o">.</span><span class="n">dequeue</span><span class="p">()</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">running</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Boolean to check whether to keep enqueueing batches.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_training_flag</span><span class="o">.</span><span class="n">is_set</span><span class="p">()</span>
+            <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">queue_thread</span><span class="o">.</span><span class="n">is_alive</span><span class="p">()</span>
+            <span class="ow">and</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">queue</span><span class="o">.</span><span class="n">is_closed</span><span class="p">()</span>
+        <span class="p">)</span>
+
+<div class="viewcode-block" id="AbstractBatchQueue.enqueue_batches">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.enqueue_batches">[docs]</a>
+    <span class="k">def</span> <span class="nf">enqueue_batches</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Callback function for queue thread. While training, the queue is</span>
+<span class="sd">        checked for empty spots and filled. In the training thread, batches are</span>
+<span class="sd">        removed from the queue.&quot;&quot;&quot;</span>
+        <span class="n">log_time</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
+        <span class="k">while</span> <span class="bp">self</span><span class="o">.</span><span class="n">running</span><span class="p">:</span>
+            <span class="n">needed</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">queue_cap</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">queue</span><span class="o">.</span><span class="n">size</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span>
+            <span class="k">if</span> <span class="n">needed</span> <span class="o">==</span> <span class="mi">1</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">max_workers</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">enqueue_batch</span><span class="p">()</span>
+            <span class="k">elif</span> <span class="n">needed</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+                <span class="k">with</span> <span class="n">ThreadPoolExecutor</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">max_workers</span><span class="p">)</span> <span class="k">as</span> <span class="n">exe</span><span class="p">:</span>
+                    <span class="n">_</span> <span class="o">=</span> <span class="p">[</span><span class="n">exe</span><span class="o">.</span><span class="n">submit</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">enqueue_batch</span><span class="p">)</span> <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">needed</span><span class="p">)]</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                    <span class="s1">&#39;Added </span><span class="si">%s</span><span class="s1"> enqueue futures to </span><span class="si">%s</span><span class="s1"> queue.&#39;</span><span class="p">,</span>
+                    <span class="n">needed</span><span class="p">,</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">_thread_name</span><span class="p">,</span>
+                <span class="p">)</span>
+            <span class="k">if</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span> <span class="o">&gt;</span> <span class="n">log_time</span> <span class="o">+</span> <span class="mi">10</span><span class="p">:</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">log_queue_info</span><span class="p">())</span>
+                <span class="n">log_time</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span></div>
+
+
+    <span class="k">def</span> <span class="fm">__next__</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Batch</span><span class="p">:</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Dequeue batch samples, squeeze if for a spatial only model, perform</span>
+<span class="sd">        some post-proc like smoothing, coarsening, etc, and then send out for</span>
+<span class="sd">        training as a namedtuple of low_res / high_res arrays.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        batch : Batch</span>
+<span class="sd">            Batch object with batch.low_res and batch.high_res attributes</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_batch_count</span> <span class="o">&lt;</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_batches</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">timer</span><span class="o">.</span><span class="n">start</span><span class="p">()</span>
+            <span class="n">samples</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_batch</span><span class="p">()</span>
+            <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+                <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">samples</span><span class="p">,</span> <span class="p">(</span><span class="nb">list</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">)):</span>
+                    <span class="n">samples</span> <span class="o">=</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">s</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="p">:]</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">samples</span><span class="p">)</span>
+                <span class="k">else</span><span class="p">:</span>
+                    <span class="n">samples</span> <span class="o">=</span> <span class="n">samples</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="p">:]</span>
+            <span class="n">batch</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">post_proc</span><span class="p">(</span><span class="n">samples</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">timer</span><span class="o">.</span><span class="n">stop</span><span class="p">()</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_batch_count</span> <span class="o">+=</span> <span class="mi">1</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                <span class="s1">&#39;Batch step </span><span class="si">%s</span><span class="s1"> finished in </span><span class="si">%s</span><span class="s1">.&#39;</span><span class="p">,</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_batch_count</span><span class="p">,</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">timer</span><span class="o">.</span><span class="n">elapsed_str</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="k">raise</span> <span class="ne">StopIteration</span>
+        <span class="k">return</span> <span class="n">batch</span>
+
+<div class="viewcode-block" id="AbstractBatchQueue.get_container_index">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_container_index">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_container_index</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get random container index based on weights&quot;&quot;&quot;</span>
+        <span class="n">indices</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">containers</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">RANDOM_GENERATOR</span><span class="o">.</span><span class="n">choice</span><span class="p">(</span><span class="n">indices</span><span class="p">,</span> <span class="n">p</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">container_weights</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="AbstractBatchQueue.get_random_container">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_random_container">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_random_container</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get random container based on container weights&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">container_index</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_container_index</span><span class="p">()</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">containers</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">container_index</span><span class="p">]</span></div>
+
+
+<div class="viewcode-block" id="AbstractBatchQueue.sample_batch">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.sample_batch">[docs]</a>
+    <span class="k">def</span> <span class="nf">sample_batch</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get random sampler from collection and return a batch of samples</span>
+<span class="sd">        from that sampler.</span>
+
+<span class="sd">        Notes</span>
+<span class="sd">        -----</span>
+<span class="sd">        These samples are wrapped in an ``np.asarray`` call, so they have been</span>
+<span class="sd">        loaded into memory.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="nb">next</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">get_random_container</span><span class="p">())</span></div>
+
+
+<div class="viewcode-block" id="AbstractBatchQueue.log_queue_info">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.log_queue_info">[docs]</a>
+    <span class="k">def</span> <span class="nf">log_queue_info</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Log info about queue size.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="s1">&#39;</span><span class="si">{}</span><span class="s1"> queue length: </span><span class="si">{}</span><span class="s1"> / </span><span class="si">{}</span><span class="s1">.&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_thread_name</span><span class="o">.</span><span class="n">title</span><span class="p">(),</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">queue</span><span class="o">.</span><span class="n">size</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">(),</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">queue_cap</span><span class="p">,</span>
+        <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="AbstractBatchQueue.enqueue_batch">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.enqueue_batch">[docs]</a>
+    <span class="k">def</span> <span class="nf">enqueue_batch</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Build batch and send to queue.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">running</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">queue</span><span class="o">.</span><span class="n">size</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span> <span class="o">&lt;</span> <span class="bp">self</span><span class="o">.</span><span class="n">queue_cap</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">queue</span><span class="o">.</span><span class="n">enqueue</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sample_batch</span><span class="p">())</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">lr_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Shape of low resolution sample in a low-res / high-res pair.  (e.g.</span>
+<span class="sd">        (spatial_1, spatial_2, temporal, features))&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span><span class="o">*</span><span class="bp">self</span><span class="o">.</span><span class="n">lr_sample_shape</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">lr_features</span><span class="p">))</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">hr_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Shape of high resolution sample in a low-res / high-res pair.  (e.g.</span>
+<span class="sd">        (spatial_1, spatial_2, temporal, features))&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span><span class="o">*</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_sample_shape</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_features</span><span class="p">))</span></div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.preprocessing.batch_queues.base</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Base objects which generate, build, and operate on batches. Also can</span>
+<span class="sd">interface with models.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="n">numpy_if_tensor</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.utilities</span> <span class="kn">import</span> <span class="n">spatial_coarsening</span><span class="p">,</span> <span class="n">temporal_coarsening</span>
+
+<span class="kn">from</span> <span class="nn">.abstract</span> <span class="kn">import</span> <span class="n">AbstractBatchQueue</span>
+<span class="kn">from</span> <span class="nn">.utilities</span> <span class="kn">import</span> <span class="n">smooth_data</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="SingleBatchQueue">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue">[docs]</a>
+<span class="k">class</span> <span class="nc">SingleBatchQueue</span><span class="p">(</span><span class="n">AbstractBatchQueue</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Base BatchQueue class for single dataset containers</span>
+
+<span class="sd">    Note</span>
+<span class="sd">    ----</span>
+<span class="sd">    Here we use `len(self.features)` for the last dimension of samples, since</span>
+<span class="sd">    samples in :class:`SingleBatchQueue` queues are coarsened to produce</span>
+<span class="sd">    low-res samples, and then the `lr_only_features` are removed with</span>
+<span class="sd">    `hr_features_ind`. In contrast, for samples in :class:`DualBatchQueue`</span>
+<span class="sd">    queues there are low / high res pairs and the high-res only stores the</span>
+<span class="sd">    `hr_features`&quot;&quot;&quot;</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">queue_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Shape of objects stored in the queue.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">[(</span><span class="bp">self</span><span class="o">.</span><span class="n">batch_size</span><span class="p">,</span> <span class="o">*</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_sample_shape</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">))]</span>
+
+<div class="viewcode-block" id="SingleBatchQueue.transform">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.transform">[docs]</a>
+    <span class="k">def</span> <span class="nf">transform</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">samples</span><span class="p">,</span>
+        <span class="n">smoothing</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">smoothing_ignore</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">temporal_coarsening_method</span><span class="o">=</span><span class="s1">&#39;subsample&#39;</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Coarsen high res data to get corresponding low res batch.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        samples : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            High resolution batch of samples.</span>
+<span class="sd">            4D | 5D array</span>
+<span class="sd">            (batch_size, spatial_1, spatial_2, features)</span>
+<span class="sd">            (batch_size, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        smoothing : float | None</span>
+<span class="sd">            Standard deviation to use for gaussian filtering of the coarse</span>
+<span class="sd">            data. This can be tuned by matching the kinetic energy of a low</span>
+<span class="sd">            resolution simulation with the kinetic energy of a coarsened and</span>
+<span class="sd">            smoothed high resolution simulation. If None no smoothing is</span>
+<span class="sd">            performed.</span>
+<span class="sd">        smoothing_ignore : list | None</span>
+<span class="sd">            List of features to ignore for the smoothing filter. None will</span>
+<span class="sd">            smooth all features if smoothing kwarg is not None</span>
+<span class="sd">        temporal_coarsening_method : str</span>
+<span class="sd">            Method to use for temporal coarsening. Can be subsample, average,</span>
+<span class="sd">            min, max, or total</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        low_res : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            4D | 5D array</span>
+<span class="sd">            (batch_size, spatial_1, spatial_2, features)</span>
+<span class="sd">            (batch_size, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        high_res : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            4D | 5D array</span>
+<span class="sd">            (batch_size, spatial_1, spatial_2, features)</span>
+<span class="sd">            (batch_size, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">low_res</span> <span class="o">=</span> <span class="n">spatial_coarsening</span><span class="p">(</span><span class="n">samples</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">)</span>
+        <span class="n">low_res</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">low_res</span>
+            <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span> <span class="o">==</span> <span class="mi">1</span>
+            <span class="k">else</span> <span class="n">temporal_coarsening</span><span class="p">(</span>
+                <span class="n">low_res</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span><span class="p">,</span> <span class="n">temporal_coarsening_method</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+        <span class="n">smoothing_ignore</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">smoothing_ignore</span> <span class="k">if</span> <span class="n">smoothing_ignore</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="p">[]</span>
+        <span class="p">)</span>
+        <span class="n">low_res</span> <span class="o">=</span> <span class="n">smooth_data</span><span class="p">(</span>
+            <span class="n">low_res</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">,</span> <span class="n">smoothing_ignore</span><span class="p">,</span> <span class="n">smoothing</span>
+        <span class="p">)</span>
+        <span class="n">high_res</span> <span class="o">=</span> <span class="n">numpy_if_tensor</span><span class="p">(</span><span class="n">samples</span><span class="p">)[</span><span class="o">...</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_features_ind</span><span class="p">]</span>
+        <span class="k">return</span> <span class="n">low_res</span><span class="p">,</span> <span class="n">high_res</span></div>
+</div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.preprocessing.batch_queues.conditional</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Abstract batch queue class used for conditional moment estimation.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">from</span> <span class="nn">abc</span> <span class="kn">import</span> <span class="n">abstractmethod</span>
+<span class="kn">from</span> <span class="nn">collections</span> <span class="kn">import</span> <span class="n">namedtuple</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">TYPE_CHECKING</span><span class="p">,</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Union</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.models.conditional</span> <span class="kn">import</span> <span class="n">Sup3rCondMom</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="n">numpy_if_tensor</span>
+
+<span class="kn">from</span> <span class="nn">.base</span> <span class="kn">import</span> <span class="n">SingleBatchQueue</span>
+<span class="kn">from</span> <span class="nn">.utilities</span> <span class="kn">import</span> <span class="n">spatial_simple_enhancing</span><span class="p">,</span> <span class="n">temporal_simple_enhancing</span>
+
+<span class="k">if</span> <span class="n">TYPE_CHECKING</span><span class="p">:</span>
+    <span class="kn">from</span> <span class="nn">sup3r.preprocessing.samplers</span> <span class="kn">import</span> <span class="n">DualSampler</span><span class="p">,</span> <span class="n">Sampler</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="ConditionalBatchQueue">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue">[docs]</a>
+<span class="k">class</span> <span class="nc">ConditionalBatchQueue</span><span class="p">(</span><span class="n">SingleBatchQueue</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;BatchQueue class for conditional moment estimation.&quot;&quot;&quot;</span>
+
+    <span class="n">ConditionalBatch</span> <span class="o">=</span> <span class="n">namedtuple</span><span class="p">(</span>
+        <span class="s1">&#39;ConditionalBatch&#39;</span><span class="p">,</span> <span class="p">[</span><span class="s1">&#39;low_res&#39;</span><span class="p">,</span> <span class="s1">&#39;high_res&#39;</span><span class="p">,</span> <span class="s1">&#39;output&#39;</span><span class="p">,</span> <span class="s1">&#39;mask&#39;</span><span class="p">]</span>
+    <span class="p">)</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">samplers</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="s1">&#39;Sampler&#39;</span><span class="p">],</span> <span class="n">List</span><span class="p">[</span><span class="s1">&#39;DualSampler&#39;</span><span class="p">]],</span>
+        <span class="n">time_enhance_mode</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;constant&#39;</span><span class="p">,</span>
+        <span class="n">lower_models</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Dict</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="n">Sup3rCondMom</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">s_padding</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span>
+        <span class="n">t_padding</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span>
+        <span class="n">end_t_padding</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+        <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        samplers : List[Sampler] | List[DualSampler]</span>
+<span class="sd">            List of samplers to use for queue.</span>
+<span class="sd">        time_enhance_mode : str</span>
+<span class="sd">            [constant, linear]</span>
+<span class="sd">            Method to enhance temporally when constructing subfilter. At every</span>
+<span class="sd">            temporal location, a low-res temporal data is subtracted from the</span>
+<span class="sd">            high-res temporal data predicted.  constant will assume that the</span>
+<span class="sd">            low-res temporal data is constant between landmarks.  linear will</span>
+<span class="sd">            linearly interpolate between landmarks to generate the low-res data</span>
+<span class="sd">            to remove from the high-res.</span>
+<span class="sd">        lower_models : Dict[int, Sup3rCondMom] | None</span>
+<span class="sd">            Dictionary of models that predict lower moments. For example, if</span>
+<span class="sd">            this queue is part of a handler to estimate the 3rd moment</span>
+<span class="sd">            `lower_models` could include models that estimate the 1st and 2nd</span>
+<span class="sd">            moments. These lower moments can be required in higher order moment</span>
+<span class="sd">            calculations.</span>
+<span class="sd">        s_padding : int | None</span>
+<span class="sd">            Width of spatial padding to predict only middle part. If None, no</span>
+<span class="sd">            padding is used</span>
+<span class="sd">        t_padding : int | None</span>
+<span class="sd">            Width of temporal padding to predict only middle part. If None, no</span>
+<span class="sd">            padding is used</span>
+<span class="sd">        end_t_padding : bool | False</span>
+<span class="sd">            Zero pad the end of temporal space.  Ensures that loss is</span>
+<span class="sd">            calculated only if snapshot is surrounded by temporal landmarks.</span>
+<span class="sd">            False by default</span>
+<span class="sd">        kwargs : dict</span>
+<span class="sd">            Keyword arguments for parent class</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">low_res</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">high_res</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">output</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">s_padding</span> <span class="o">=</span> <span class="n">s_padding</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">t_padding</span> <span class="o">=</span> <span class="n">t_padding</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">end_t_padding</span> <span class="o">=</span> <span class="n">end_t_padding</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">time_enhance_mode</span> <span class="o">=</span> <span class="n">time_enhance_mode</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">lower_models</span> <span class="o">=</span> <span class="n">lower_models</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">samplers</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+    <span class="n">_signature_objs</span> <span class="o">=</span> <span class="p">(</span><span class="fm">__init__</span><span class="p">,</span> <span class="n">SingleBatchQueue</span><span class="p">)</span>
+
+<div class="viewcode-block" id="ConditionalBatchQueue.make_mask">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.make_mask">[docs]</a>
+    <span class="k">def</span> <span class="nf">make_mask</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">high_res</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Make mask for output. This is used to ensure consistency when</span>
+<span class="sd">        training conditional moments.</span>
+
+<span class="sd">        Note</span>
+<span class="sd">        ----</span>
+<span class="sd">        Consider the case of learning E(HR|LR) where HR is the high_res and LR</span>
+<span class="sd">        is the low_res. In theory, the conditional moment estimation works if</span>
+<span class="sd">        the full LR is passed as input and predicts the full HR. In practice,</span>
+<span class="sd">        only the LR data that overlaps and surrounds the HR data is useful, ie</span>
+<span class="sd">        E(HR|LR) = E(HR|LR_nei) where LR_nei is the LR data that surrounds the</span>
+<span class="sd">        HR data. Physically, this is equivalent to saying that data far away</span>
+<span class="sd">        from a region of interest does not matter.  This allows learning the</span>
+<span class="sd">        conditional moments on spatial and temporal chunks only if one</span>
+<span class="sd">        restricts the high_res output as being overlapped and surrounded by the</span>
+<span class="sd">        input low_res.  The role of the mask is to ensure that the input</span>
+<span class="sd">        low_res always surrounds the output high_res.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        high_res : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            4D | 5D array</span>
+<span class="sd">            (batch_size, spatial_1, spatial_2, features)</span>
+<span class="sd">            (batch_size, spatial_1, spatial_2, temporal, features)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        mask: Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            4D | 5D array</span>
+<span class="sd">            (batch_size, spatial_1, spatial_2, features)</span>
+<span class="sd">            (batch_size, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">mask</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="n">high_res</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">high_res</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span>
+        <span class="n">s_min</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">s_padding</span>
+        <span class="n">t_min</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_padding</span>
+        <span class="n">s_max</span> <span class="o">=</span> <span class="kc">None</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">s_padding</span> <span class="o">==</span> <span class="mi">0</span> <span class="k">else</span> <span class="o">-</span><span class="bp">self</span><span class="o">.</span><span class="n">s_padding</span>
+        <span class="n">t_max</span> <span class="o">=</span> <span class="kc">None</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_padding</span> <span class="o">==</span> <span class="mi">0</span> <span class="k">else</span> <span class="o">-</span><span class="bp">self</span><span class="o">.</span><span class="n">t_padding</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">end_t_padding</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span> <span class="o">&gt;</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="k">if</span> <span class="n">t_max</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+                <span class="n">t_max</span> <span class="o">=</span> <span class="mi">1</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">t_max</span> <span class="o">=</span> <span class="mi">1</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_padding</span>
+
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">high_res</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">4</span><span class="p">:</span>
+            <span class="n">mask</span><span class="p">[:,</span> <span class="n">s_min</span><span class="p">:</span><span class="n">s_max</span><span class="p">,</span> <span class="n">s_min</span><span class="p">:</span><span class="n">s_max</span><span class="p">,</span> <span class="p">:]</span> <span class="o">=</span> <span class="mf">1.0</span>
+        <span class="k">elif</span> <span class="nb">len</span><span class="p">(</span><span class="n">high_res</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">5</span><span class="p">:</span>
+            <span class="n">mask</span><span class="p">[:,</span> <span class="n">s_min</span><span class="p">:</span><span class="n">s_max</span><span class="p">,</span> <span class="n">s_min</span><span class="p">:</span><span class="n">s_max</span><span class="p">,</span> <span class="n">t_min</span><span class="p">:</span><span class="n">t_max</span><span class="p">,</span> <span class="p">:]</span> <span class="o">=</span> <span class="mf">1.0</span>
+
+        <span class="k">return</span> <span class="n">mask</span></div>
+
+
+<div class="viewcode-block" id="ConditionalBatchQueue.make_output">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.make_output">[docs]</a>
+    <span class="nd">@abstractmethod</span>
+    <span class="k">def</span> <span class="nf">make_output</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">samples</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Make custom batch output. This depends on the moment type being</span>
+<span class="sd">        estimated. e.g. This could be the 1st moment, which is just high_res</span>
+<span class="sd">        or the 2nd moment, which is (high_res - 1st moment) ** 2</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        samples : Tuple[Union[np.ndarray, da.core.Array], ...]</span>
+<span class="sd">            Tuple of low_res, high_res. Each array is:</span>
+<span class="sd">            4D | 5D array</span>
+<span class="sd">            (batch_size, spatial_1, spatial_2, features)</span>
+<span class="sd">            (batch_size, spatial_1, spatial_2, temporal, features)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        output: Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            4D | 5D array</span>
+<span class="sd">            (batch_size, spatial_1, spatial_2, features)</span>
+<span class="sd">            (batch_size, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        &quot;&quot;&quot;</span></div>
+
+
+<div class="viewcode-block" id="ConditionalBatchQueue.post_proc">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.post_proc">[docs]</a>
+    <span class="k">def</span> <span class="nf">post_proc</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">samples</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Returns normalized collection of samples / observations along with</span>
+<span class="sd">        mask and target output for conditional moment estimation. Performs</span>
+<span class="sd">        coarsening on high-res data if :class:`Collection` consists of</span>
+<span class="sd">        :class:`Sampler` objects and not :class:`DualSampler` objects</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        namedtuple</span>
+<span class="sd">            Named tuple with `low_res`, `high_res`, `mask`, and `output`</span>
+<span class="sd">            attributes</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">lr</span><span class="p">,</span> <span class="n">hr</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">samples</span><span class="p">,</span> <span class="o">**</span><span class="bp">self</span><span class="o">.</span><span class="n">transform_kwargs</span><span class="p">)</span>
+        <span class="n">mask</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">make_mask</span><span class="p">(</span><span class="n">high_res</span><span class="o">=</span><span class="n">hr</span><span class="p">)</span>
+        <span class="n">output</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">make_output</span><span class="p">(</span><span class="n">samples</span><span class="o">=</span><span class="p">(</span><span class="n">lr</span><span class="p">,</span> <span class="n">hr</span><span class="p">))</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">ConditionalBatch</span><span class="p">(</span>
+            <span class="n">low_res</span><span class="o">=</span><span class="n">lr</span><span class="p">,</span> <span class="n">high_res</span><span class="o">=</span><span class="n">hr</span><span class="p">,</span> <span class="n">output</span><span class="o">=</span><span class="n">output</span><span class="p">,</span> <span class="n">mask</span><span class="o">=</span><span class="n">mask</span>
+        <span class="p">)</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="QueueMom1">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1">[docs]</a>
+<span class="k">class</span> <span class="nc">QueueMom1</span><span class="p">(</span><span class="n">ConditionalBatchQueue</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Batch handling class for conditional estimation of first moment&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="QueueMom1.make_output">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.make_output">[docs]</a>
+    <span class="k">def</span> <span class="nf">make_output</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">samples</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;For the 1st moment the output is simply the high_res&quot;&quot;&quot;</span>
+        <span class="n">_</span><span class="p">,</span> <span class="n">hr</span> <span class="o">=</span> <span class="n">samples</span>
+        <span class="k">return</span> <span class="n">hr</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="QueueMom1SF">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF">[docs]</a>
+<span class="k">class</span> <span class="nc">QueueMom1SF</span><span class="p">(</span><span class="n">ConditionalBatchQueue</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Batch handling class for conditional estimation of first moment</span>
+<span class="sd">    of subfilter velocity&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="QueueMom1SF.make_output">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.make_output">[docs]</a>
+    <span class="k">def</span> <span class="nf">make_output</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">samples</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        SF: Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            4D | 5D array</span>
+<span class="sd">            (batch_size, spatial_1, spatial_2, features)</span>
+<span class="sd">            (batch_size, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">            SF is subfilter, HR is high-res and LR is low-res</span>
+<span class="sd">            SF = HR - LR</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="c1"># Remove LR from HR</span>
+        <span class="n">lr</span><span class="p">,</span> <span class="n">hr</span> <span class="o">=</span> <span class="n">samples</span>
+        <span class="n">enhanced_lr</span> <span class="o">=</span> <span class="n">spatial_simple_enhancing</span><span class="p">(</span><span class="n">lr</span><span class="p">,</span> <span class="n">s_enhance</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">)</span>
+        <span class="n">enhanced_lr</span> <span class="o">=</span> <span class="n">temporal_simple_enhancing</span><span class="p">(</span>
+            <span class="n">enhanced_lr</span><span class="p">,</span>
+            <span class="n">t_enhance</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span><span class="p">,</span>
+            <span class="n">mode</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">time_enhance_mode</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="n">enhanced_lr</span> <span class="o">=</span> <span class="n">enhanced_lr</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_features_ind</span><span class="p">]</span>
+
+        <span class="k">return</span> <span class="n">hr</span> <span class="o">-</span> <span class="n">enhanced_lr</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="QueueMom2">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2">[docs]</a>
+<span class="k">class</span> <span class="nc">QueueMom2</span><span class="p">(</span><span class="n">ConditionalBatchQueue</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Batch handling class for conditional estimation of second moment&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="QueueMom2.make_output">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.make_output">[docs]</a>
+    <span class="k">def</span> <span class="nf">make_output</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">samples</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        (HR - &lt;HR|LR&gt;)**2: Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            4D | 5D array</span>
+<span class="sd">            (batch_size, spatial_1, spatial_2, features)</span>
+<span class="sd">            (batch_size, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">            HR is high-res and LR is low-res</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="c1"># Remove first moment from HR and square it</span>
+        <span class="n">lr</span><span class="p">,</span> <span class="n">hr</span> <span class="o">=</span> <span class="n">samples</span>
+        <span class="n">exo_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">lower_models</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">get_high_res_exo_input</span><span class="p">(</span><span class="n">hr</span><span class="p">)</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="n">numpy_if_tensor</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">lower_models</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">_tf_generate</span><span class="p">(</span><span class="n">lr</span><span class="p">,</span> <span class="n">exo_data</span><span class="p">))</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">lower_models</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">_combine_loss_input</span><span class="p">(</span><span class="n">hr</span><span class="p">,</span> <span class="n">out</span><span class="p">)</span>
+        <span class="k">return</span> <span class="p">(</span><span class="n">hr</span> <span class="o">-</span> <span class="n">out</span><span class="p">)</span> <span class="o">**</span> <span class="mi">2</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="QueueMom2Sep">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep">[docs]</a>
+<span class="k">class</span> <span class="nc">QueueMom2Sep</span><span class="p">(</span><span class="n">QueueMom1</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Batch handling class for conditional estimation of second moment</span>
+<span class="sd">    without subtraction of first moment&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="QueueMom2Sep.make_output">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.make_output">[docs]</a>
+    <span class="k">def</span> <span class="nf">make_output</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">samples</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        HR**2: Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            4D | 5D array</span>
+<span class="sd">            (batch_size, spatial_1, spatial_2, features)</span>
+<span class="sd">            (batch_size, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">            HR is high-res</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">make_output</span><span class="p">(</span><span class="n">samples</span><span class="p">)</span> <span class="o">**</span> <span class="mi">2</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="QueueMom2SF">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF">[docs]</a>
+<span class="k">class</span> <span class="nc">QueueMom2SF</span><span class="p">(</span><span class="n">ConditionalBatchQueue</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Batch handling class for conditional estimation of second moment of</span>
+<span class="sd">    subfilter velocity.&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="QueueMom2SF.make_output">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.make_output">[docs]</a>
+    <span class="k">def</span> <span class="nf">make_output</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">samples</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        (SF - &lt;SF|LR&gt;)**2: Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            4D | 5D array</span>
+<span class="sd">            (batch_size, spatial_1, spatial_2, features)</span>
+<span class="sd">            (batch_size, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">            SF is subfilter, HR is high-res and LR is low-res</span>
+<span class="sd">            SF = HR - LR</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="c1"># Remove LR and first moment from HR and square it</span>
+        <span class="n">lr</span><span class="p">,</span> <span class="n">hr</span> <span class="o">=</span> <span class="n">samples</span>
+        <span class="n">exo_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">lower_models</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">get_high_res_exo_input</span><span class="p">(</span><span class="n">hr</span><span class="p">)</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="n">numpy_if_tensor</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">lower_models</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">_tf_generate</span><span class="p">(</span><span class="n">lr</span><span class="p">,</span> <span class="n">exo_data</span><span class="p">))</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">lower_models</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">_combine_loss_input</span><span class="p">(</span><span class="n">hr</span><span class="p">,</span> <span class="n">out</span><span class="p">)</span>
+        <span class="n">enhanced_lr</span> <span class="o">=</span> <span class="n">spatial_simple_enhancing</span><span class="p">(</span><span class="n">lr</span><span class="p">,</span> <span class="n">s_enhance</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">)</span>
+        <span class="n">enhanced_lr</span> <span class="o">=</span> <span class="n">temporal_simple_enhancing</span><span class="p">(</span>
+            <span class="n">enhanced_lr</span><span class="p">,</span> <span class="n">t_enhance</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">time_enhance_mode</span>
+        <span class="p">)</span>
+        <span class="n">enhanced_lr</span> <span class="o">=</span> <span class="n">enhanced_lr</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_features_ind</span><span class="p">]</span>
+        <span class="k">return</span> <span class="p">(</span><span class="n">hr</span> <span class="o">-</span> <span class="n">enhanced_lr</span> <span class="o">-</span> <span class="n">out</span><span class="p">)</span> <span class="o">**</span> <span class="mi">2</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="QueueMom2SepSF">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF">[docs]</a>
+<span class="k">class</span> <span class="nc">QueueMom2SepSF</span><span class="p">(</span><span class="n">QueueMom1SF</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Batch of low_res, high_res and output data when learning second moment</span>
+<span class="sd">    of subfilter vel separate from first moment&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="QueueMom2SepSF.make_output">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.make_output">[docs]</a>
+    <span class="k">def</span> <span class="nf">make_output</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">samples</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        SF**2: Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            4D | 5D array</span>
+<span class="sd">            (batch_size, spatial_1, spatial_2, features)</span>
+<span class="sd">            (batch_size, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">            SF is subfilter, HR is high-res and LR is low-res</span>
+<span class="sd">            SF = HR - LR</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="c1"># Remove LR from HR and square it</span>
+        <span class="k">return</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">make_output</span><span class="p">(</span><span class="n">samples</span><span class="p">)</span> <span class="o">**</span> <span class="mi">2</span></div>
+</div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.preprocessing.batch_queues.dc</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Data centric batch handler for dynamic batching strategy based on</span>
+<span class="sd">performance during training&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+<span class="kn">from</span> <span class="nn">.base</span> <span class="kn">import</span> <span class="n">SingleBatchQueue</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="BatchQueueDC">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC">[docs]</a>
+<span class="k">class</span> <span class="nc">BatchQueueDC</span><span class="p">(</span><span class="n">SingleBatchQueue</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Sample from data based on spatial and temporal weights. These weights</span>
+<span class="sd">    can be derived from validation training losses and updated during training</span>
+<span class="sd">    or set a priori to construct a validation queue&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">samplers</span><span class="p">,</span> <span class="n">n_space_bins</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">n_time_bins</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        samplers : List[Sampler]</span>
+<span class="sd">            List of Sampler instances</span>
+<span class="sd">        n_space_bins : int</span>
+<span class="sd">            Number of spatial bins to use for weighted sampling. e.g. if this</span>
+<span class="sd">            is 4 the spatial domain will be divided into 4 equal regions and</span>
+<span class="sd">            losses will be calculated across these regions during traning in</span>
+<span class="sd">            order to adaptively sample from lower performing regions.</span>
+<span class="sd">        n_time_bins : int</span>
+<span class="sd">            Number of time bins to use for weighted sampling. e.g. if this</span>
+<span class="sd">            is 4 the temporal domain will be divided into 4 equal periods and</span>
+<span class="sd">            losses will be calculated across these periods during traning in</span>
+<span class="sd">            order to adaptively sample from lower performing time periods.</span>
+<span class="sd">        kwargs : dict</span>
+<span class="sd">            Keyword arguments for parent class.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">n_space_bins</span> <span class="o">=</span> <span class="n">n_space_bins</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">n_time_bins</span> <span class="o">=</span> <span class="n">n_time_bins</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_spatial_weights</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="n">n_space_bins</span><span class="p">)</span> <span class="o">/</span> <span class="n">n_space_bins</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_temporal_weights</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="n">n_time_bins</span><span class="p">)</span> <span class="o">/</span> <span class="n">n_time_bins</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">samplers</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+    <span class="n">_signature_objs</span> <span class="o">=</span> <span class="p">(</span><span class="fm">__init__</span><span class="p">,</span> <span class="n">SingleBatchQueue</span><span class="p">)</span>
+
+<div class="viewcode-block" id="BatchQueueDC.sample_batch">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.sample_batch">[docs]</a>
+    <span class="k">def</span> <span class="nf">sample_batch</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Update weights and get batch of samples from sampled container.&quot;&quot;&quot;</span>
+        <span class="n">sampler</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_random_container</span><span class="p">()</span>
+        <span class="n">sampler</span><span class="o">.</span><span class="n">update_weights</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">spatial_weights</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">temporal_weights</span><span class="p">)</span>
+        <span class="k">return</span> <span class="nb">next</span><span class="p">(</span><span class="n">sampler</span><span class="p">)</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">spatial_weights</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get weights used to sample spatial bins.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_spatial_weights</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">temporal_weights</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get weights used to sample temporal bins.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_temporal_weights</span>
+
+<div class="viewcode-block" id="BatchQueueDC.update_weights">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.update_weights">[docs]</a>
+    <span class="k">def</span> <span class="nf">update_weights</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">spatial_weights</span><span class="p">,</span> <span class="n">temporal_weights</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Set weights used to sample spatial and temporal bins. This is called</span>
+<span class="sd">        by :class:`Sup3rGanDC` after an epoch to update weights based on model</span>
+<span class="sd">        performance across validation samples.&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_spatial_weights</span> <span class="o">=</span> <span class="n">spatial_weights</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_temporal_weights</span> <span class="o">=</span> <span class="n">temporal_weights</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="ValBatchQueueDC">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC">[docs]</a>
+<span class="k">class</span> <span class="nc">ValBatchQueueDC</span><span class="p">(</span><span class="n">BatchQueueDC</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Queue to construct a single batch for each spatiotemporal validation</span>
+<span class="sd">    bin. e.g. If we have 4 time bins and 1 space bin this will get `batch_size`</span>
+<span class="sd">    samples for 4 batches, with `batch_size` samples from each bin. The model</span>
+<span class="sd">    performance across these batches will determine the weights for how the</span>
+<span class="sd">    training batch queue is sampled.&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">samplers</span><span class="p">,</span> <span class="n">n_space_bins</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">n_time_bins</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        samplers : List[Sampler]</span>
+<span class="sd">            List of Sampler instances</span>
+<span class="sd">        n_space_bins : int</span>
+<span class="sd">            Number of spatial bins to use for weighted sampling. e.g. if this</span>
+<span class="sd">            is 4 the spatial domain will be divided into 4 equal regions and</span>
+<span class="sd">            losses will be calculated across these regions during traning in</span>
+<span class="sd">            order to adaptively sample from lower performing regions.</span>
+<span class="sd">        n_time_bins : int</span>
+<span class="sd">            Number of time bins to use for weighted sampling. e.g. if this</span>
+<span class="sd">            is 4 the temporal domain will be divided into 4 equal periods and</span>
+<span class="sd">            losses will be calculated across these periods during traning in</span>
+<span class="sd">            order to adaptively sample from lower performing time periods.</span>
+<span class="sd">        kwargs : dict</span>
+<span class="sd">            Keyword arguments for parent class.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span>
+            <span class="n">samplers</span><span class="p">,</span>
+            <span class="n">n_space_bins</span><span class="o">=</span><span class="n">n_space_bins</span><span class="p">,</span>
+            <span class="n">n_time_bins</span><span class="o">=</span><span class="n">n_time_bins</span><span class="p">,</span>
+            <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">n_batches</span> <span class="o">=</span> <span class="n">n_space_bins</span> <span class="o">*</span> <span class="n">n_time_bins</span>
+
+    <span class="n">_signature_objs</span> <span class="o">=</span> <span class="p">(</span><span class="fm">__init__</span><span class="p">,</span> <span class="n">BatchQueueDC</span><span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">spatial_weights</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Sample entirely from this spatial bin determined by the batch</span>
+<span class="sd">        number.&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_spatial_weights</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">eye</span><span class="p">(</span>
+            <span class="mi">1</span><span class="p">,</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">n_space_bins</span><span class="p">,</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_batch_count</span> <span class="o">%</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_space_bins</span><span class="p">,</span>
+            <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span>
+        <span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_spatial_weights</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">temporal_weights</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Sample entirely from this temporal bin determined by the batch</span>
+<span class="sd">        number.&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_temporal_weights</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">eye</span><span class="p">(</span>
+            <span class="mi">1</span><span class="p">,</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">n_time_bins</span><span class="p">,</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_batch_count</span> <span class="o">%</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_time_bins</span><span class="p">,</span>
+            <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span>
+        <span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_temporal_weights</span></div>
+
+</pre></div>
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+  <h1>Source code for sup3r.preprocessing.batch_queues.dual</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Base objects which generate, build, and operate on batches. Also can</span>
+<span class="sd">interface with models.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+
+<span class="kn">from</span> <span class="nn">scipy.ndimage</span> <span class="kn">import</span> <span class="n">gaussian_filter</span>
+
+<span class="kn">from</span> <span class="nn">.abstract</span> <span class="kn">import</span> <span class="n">AbstractBatchQueue</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="DualBatchQueue">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue">[docs]</a>
+<span class="k">class</span> <span class="nc">DualBatchQueue</span><span class="p">(</span><span class="n">AbstractBatchQueue</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Base BatchQueue for use with</span>
+<span class="sd">    :class:`~sup3r.preprocessing.samplers.DualSampler` objects.&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">samplers</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        See Also</span>
+<span class="sd">        --------</span>
+<span class="sd">        :class:`~sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue`</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">samplers</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">check_enhancement_factors</span><span class="p">()</span>
+
+    <span class="n">_signature_objs</span> <span class="o">=</span> <span class="p">(</span><span class="n">AbstractBatchQueue</span><span class="p">,)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">queue_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Shape of objects stored in the queue.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">[</span>
+            <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">batch_size</span><span class="p">,</span> <span class="o">*</span><span class="bp">self</span><span class="o">.</span><span class="n">lr_shape</span><span class="p">),</span>
+            <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">batch_size</span><span class="p">,</span> <span class="o">*</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_shape</span><span class="p">),</span>
+        <span class="p">]</span>
+
+<div class="viewcode-block" id="DualBatchQueue.check_enhancement_factors">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.check_enhancement_factors">[docs]</a>
+    <span class="k">def</span> <span class="nf">check_enhancement_factors</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Make sure each DualSampler has the same enhancment factors and they</span>
+<span class="sd">        match those provided to the BatchQueue.&quot;&quot;&quot;</span>
+
+        <span class="n">s_factors</span> <span class="o">=</span> <span class="p">[</span><span class="n">c</span><span class="o">.</span><span class="n">s_enhance</span> <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">containers</span><span class="p">]</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Received s_enhance = </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="si">}</span><span class="s1"> but not all &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;DualSamplers in the collection have the same value: </span><span class="si">{</span><span class="n">s_factors</span><span class="si">}</span><span class="s1">.&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="nb">all</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span> <span class="o">==</span> <span class="n">s</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">s_factors</span><span class="p">),</span> <span class="n">msg</span>
+        <span class="n">t_factors</span> <span class="o">=</span> <span class="p">[</span><span class="n">c</span><span class="o">.</span><span class="n">t_enhance</span> <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">containers</span><span class="p">]</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Received t_enhance = </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span><span class="si">}</span><span class="s1"> but not all &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;DualSamplers in the collection have the same value.&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="nb">all</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span> <span class="o">==</span> <span class="n">t</span> <span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="n">t_factors</span><span class="p">),</span> <span class="n">msg</span></div>
+
+
+<div class="viewcode-block" id="DualBatchQueue.transform">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.transform">[docs]</a>
+    <span class="k">def</span> <span class="nf">transform</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">samples</span><span class="p">,</span> <span class="n">smoothing</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">smoothing_ignore</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Perform smoothing if requested.</span>
+
+<span class="sd">        Note</span>
+<span class="sd">        ----</span>
+<span class="sd">        This does not include temporal or spatial coarsening like</span>
+<span class="sd">        :class:`SingleBatchQueue`</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">low_res</span><span class="p">,</span> <span class="n">high_res</span> <span class="o">=</span> <span class="n">samples</span>
+
+        <span class="k">if</span> <span class="n">smoothing</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">feat_iter</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="n">j</span>
+                <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
+                <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">[</span><span class="n">j</span><span class="p">]</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">smoothing_ignore</span>
+            <span class="p">]</span>
+            <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]):</span>
+                <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="n">feat_iter</span><span class="p">:</span>
+                    <span class="n">low_res</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="n">j</span><span class="p">]</span> <span class="o">=</span> <span class="n">gaussian_filter</span><span class="p">(</span>
+                        <span class="n">low_res</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="n">j</span><span class="p">],</span> <span class="n">smoothing</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;nearest&#39;</span>
+                    <span class="p">)</span>
+        <span class="k">return</span> <span class="n">low_res</span><span class="p">,</span> <span class="n">high_res</span></div>
+</div>
+
+</pre></div>
+
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+  <h1>Source code for sup3r.preprocessing.batch_queues.utilities</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Miscellaneous utilities shared across the batch_queues module&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">from</span> <span class="nn">scipy.interpolate</span> <span class="kn">import</span> <span class="n">interp1d</span>
+<span class="kn">from</span> <span class="nn">scipy.ndimage</span> <span class="kn">import</span> <span class="n">gaussian_filter</span><span class="p">,</span> <span class="n">zoom</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="temporal_simple_enhancing">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.utilities.temporal_simple_enhancing.html#sup3r.preprocessing.batch_queues.utilities.temporal_simple_enhancing">[docs]</a>
+<span class="k">def</span> <span class="nf">temporal_simple_enhancing</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">t_enhance</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;constant&#39;</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Upsample data according to t_enhance resolution</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    data : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        5D array with dimensions</span>
+<span class="sd">        (observations, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">    t_enhance : int</span>
+<span class="sd">        factor by which to enhance temporal dimension</span>
+<span class="sd">    mode : str</span>
+<span class="sd">        interpolation method for enhancement.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    enhanced_data : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        5D array with same dimensions as data with new enhanced resolution</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">if</span> <span class="n">t_enhance</span> <span class="ow">in</span> <span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="mi">1</span><span class="p">]:</span>
+        <span class="n">enhanced_data</span> <span class="o">=</span> <span class="n">data</span>
+    <span class="k">elif</span> <span class="n">t_enhance</span> <span class="ow">not</span> <span class="ow">in</span> <span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">5</span><span class="p">:</span>
+        <span class="k">if</span> <span class="n">mode</span> <span class="o">==</span> <span class="s1">&#39;constant&#39;</span><span class="p">:</span>
+            <span class="n">enhancement</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">t_enhance</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span>
+            <span class="n">enhanced_data</span> <span class="o">=</span> <span class="n">zoom</span><span class="p">(</span>
+                <span class="n">data</span><span class="p">,</span> <span class="n">enhancement</span><span class="p">,</span> <span class="n">order</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;nearest&#39;</span><span class="p">,</span> <span class="n">grid_mode</span><span class="o">=</span><span class="kc">True</span>
+            <span class="p">)</span>
+        <span class="k">elif</span> <span class="n">mode</span> <span class="o">==</span> <span class="s1">&#39;linear&#39;</span><span class="p">:</span>
+            <span class="n">index_t_hr</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span> <span class="o">*</span> <span class="n">t_enhance</span><span class="p">)))</span>
+            <span class="n">index_t_lr</span> <span class="o">=</span> <span class="n">index_t_hr</span><span class="p">[::</span><span class="n">t_enhance</span><span class="p">]</span>
+            <span class="n">enhanced_data</span> <span class="o">=</span> <span class="n">interp1d</span><span class="p">(</span>
+                <span class="n">index_t_lr</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">fill_value</span><span class="o">=</span><span class="s1">&#39;extrapolate&#39;</span>
+            <span class="p">)(</span><span class="n">index_t_hr</span><span class="p">)</span>
+            <span class="n">enhanced_data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">enhanced_data</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+    <span class="k">elif</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">!=</span> <span class="mi">5</span><span class="p">:</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Data must be 5D to do temporal enhancing, but &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;received: </span><span class="si">{</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">enhanced_data</span></div>
+
+
+
+<div class="viewcode-block" id="smooth_data">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.utilities.smooth_data.html#sup3r.preprocessing.batch_queues.utilities.smooth_data">[docs]</a>
+<span class="k">def</span> <span class="nf">smooth_data</span><span class="p">(</span><span class="n">low_res</span><span class="p">,</span> <span class="n">training_features</span><span class="p">,</span> <span class="n">smoothing_ignore</span><span class="p">,</span> <span class="n">smoothing</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Smooth data using a gaussian filter</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    low_res : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        4D | 5D array</span>
+<span class="sd">        (batch_size, spatial_1, spatial_2, features)</span>
+<span class="sd">        (batch_size, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">    training_features : list | None</span>
+<span class="sd">        Ordered list of training features input to the generative model</span>
+<span class="sd">    smoothing_ignore : list | None</span>
+<span class="sd">        List of features to ignore for the smoothing filter. None will</span>
+<span class="sd">        smooth all features if smoothing kwarg is not None</span>
+<span class="sd">    smoothing : float | None</span>
+<span class="sd">        Standard deviation to use for gaussian filtering of the coarse</span>
+<span class="sd">        data. This can be tuned by matching the kinetic energy of a low</span>
+<span class="sd">        resolution simulation with the kinetic energy of a coarsened and</span>
+<span class="sd">        smoothed high resolution simulation. If None no smoothing is</span>
+<span class="sd">        performed.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    low_res : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        4D | 5D array</span>
+<span class="sd">        (batch_size, spatial_1, spatial_2, features)</span>
+<span class="sd">        (batch_size, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">if</span> <span class="n">smoothing</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">feat_iter</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="n">j</span>
+            <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
+            <span class="k">if</span> <span class="n">training_features</span><span class="p">[</span><span class="n">j</span><span class="p">]</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">smoothing_ignore</span>
+        <span class="p">]</span>
+        <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]):</span>
+            <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="n">feat_iter</span><span class="p">:</span>
+                <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">5</span><span class="p">:</span>
+                    <span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">low_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">2</span><span class="p">]):</span>
+                        <span class="n">low_res</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="n">t</span><span class="p">,</span> <span class="n">j</span><span class="p">]</span> <span class="o">=</span> <span class="n">gaussian_filter</span><span class="p">(</span>
+                            <span class="n">low_res</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="n">t</span><span class="p">,</span> <span class="n">j</span><span class="p">],</span> <span class="n">smoothing</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;nearest&#39;</span>
+                        <span class="p">)</span>
+                <span class="k">else</span><span class="p">:</span>
+                    <span class="n">low_res</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="n">j</span><span class="p">]</span> <span class="o">=</span> <span class="n">gaussian_filter</span><span class="p">(</span>
+                        <span class="n">low_res</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="n">j</span><span class="p">],</span> <span class="n">smoothing</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;nearest&#39;</span>
+                    <span class="p">)</span>
+    <span class="k">return</span> <span class="n">low_res</span></div>
+
+
+
+<div class="viewcode-block" id="spatial_simple_enhancing">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.batch_queues.utilities.spatial_simple_enhancing.html#sup3r.preprocessing.batch_queues.utilities.spatial_simple_enhancing">[docs]</a>
+<span class="k">def</span> <span class="nf">spatial_simple_enhancing</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">s_enhance</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">obs_axis</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Simple enhancing according to s_enhance resolution</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    data : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        5D | 4D | 3D array with dimensions:</span>
+<span class="sd">        (n_obs, spatial_1, spatial_2, temporal, features) (obs_axis=True)</span>
+<span class="sd">        (n_obs, spatial_1, spatial_2, features) (obs_axis=True)</span>
+<span class="sd">        (spatial_1, spatial_2, temporal, features) (obs_axis=False)</span>
+<span class="sd">        (spatial_1, spatial_2, temporal_or_features) (obs_axis=False)</span>
+<span class="sd">    s_enhance : int</span>
+<span class="sd">        factor by which to enhance spatial dimensions</span>
+<span class="sd">    obs_axis : bool</span>
+<span class="sd">        Flag for if axis=0 is the observation axis. If True (default)</span>
+<span class="sd">        spatial axis=(1, 2) (zero-indexed), if False spatial axis=(0, 1)</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    enhanced_data : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        3D | 4D | 5D array with same dimensions as data with new enhanced</span>
+<span class="sd">        resolution</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">&lt;</span> <span class="mi">3</span><span class="p">:</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Data must be 3D, 4D, or 5D to do spatial enhancing, but &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;received: </span><span class="si">{</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+    <span class="k">if</span> <span class="n">s_enhance</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">s_enhance</span> <span class="o">&gt;</span> <span class="mi">1</span><span class="p">:</span>
+        <span class="k">if</span> <span class="n">obs_axis</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">5</span><span class="p">:</span>
+            <span class="n">enhancement</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="n">s_enhance</span><span class="p">,</span> <span class="n">s_enhance</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span>
+            <span class="n">enhanced_data</span> <span class="o">=</span> <span class="n">zoom</span><span class="p">(</span>
+                <span class="n">data</span><span class="p">,</span> <span class="n">enhancement</span><span class="p">,</span> <span class="n">order</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;nearest&#39;</span><span class="p">,</span> <span class="n">grid_mode</span><span class="o">=</span><span class="kc">True</span>
+            <span class="p">)</span>
+
+        <span class="k">elif</span> <span class="n">obs_axis</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">4</span><span class="p">:</span>
+            <span class="n">enhancement</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="n">s_enhance</span><span class="p">,</span> <span class="n">s_enhance</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span>
+            <span class="n">enhanced_data</span> <span class="o">=</span> <span class="n">zoom</span><span class="p">(</span>
+                <span class="n">data</span><span class="p">,</span> <span class="n">enhancement</span><span class="p">,</span> <span class="n">order</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;nearest&#39;</span><span class="p">,</span> <span class="n">grid_mode</span><span class="o">=</span><span class="kc">True</span>
+            <span class="p">)</span>
+
+        <span class="k">elif</span> <span class="ow">not</span> <span class="n">obs_axis</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">4</span><span class="p">:</span>
+            <span class="n">enhancement</span> <span class="o">=</span> <span class="p">[</span><span class="n">s_enhance</span><span class="p">,</span> <span class="n">s_enhance</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span>
+            <span class="n">enhanced_data</span> <span class="o">=</span> <span class="n">zoom</span><span class="p">(</span>
+                <span class="n">data</span><span class="p">,</span> <span class="n">enhancement</span><span class="p">,</span> <span class="n">order</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;nearest&#39;</span><span class="p">,</span> <span class="n">grid_mode</span><span class="o">=</span><span class="kc">True</span>
+            <span class="p">)</span>
+
+        <span class="k">elif</span> <span class="ow">not</span> <span class="n">obs_axis</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">3</span><span class="p">:</span>
+            <span class="n">enhancement</span> <span class="o">=</span> <span class="p">[</span><span class="n">s_enhance</span><span class="p">,</span> <span class="n">s_enhance</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span>
+            <span class="n">enhanced_data</span> <span class="o">=</span> <span class="n">zoom</span><span class="p">(</span>
+                <span class="n">data</span><span class="p">,</span> <span class="n">enhancement</span><span class="p">,</span> <span class="n">order</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;nearest&#39;</span><span class="p">,</span> <span class="n">grid_mode</span><span class="o">=</span><span class="kc">True</span>
+            <span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Data must be 3D, 4D, or 5D to do spatial enhancing, but &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;received: </span><span class="si">{</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">enhanced_data</span> <span class="o">=</span> <span class="n">data</span>
+
+    <span class="k">return</span> <span class="n">enhanced_data</span></div>
+
+</pre></div>
+
+                </article>
+              
+
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+  <h1>Source code for sup3r.preprocessing.cachers.base</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Basic objects that can cache rasterized / derived data.&quot;&quot;&quot;</span>
+
+<span class="c1"># netCDF4 has to be imported before h5py</span>
+<span class="c1"># isort: skip_file</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">copy</span>
+<span class="kn">import</span> <span class="nn">itertools</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Union</span><span class="p">,</span> <span class="n">TYPE_CHECKING</span>
+<span class="kn">import</span> <span class="nn">netCDF4</span> <span class="k">as</span> <span class="nn">nc4</span>  <span class="c1"># noqa</span>
+<span class="kn">import</span> <span class="nn">h5py</span>
+<span class="kn">import</span> <span class="nn">dask</span>
+<span class="kn">import</span> <span class="nn">dask.array</span> <span class="k">as</span> <span class="nn">da</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">from</span> <span class="nn">warnings</span> <span class="kn">import</span> <span class="n">warn</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.base</span> <span class="kn">import</span> <span class="n">Container</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.names</span> <span class="kn">import</span> <span class="n">Dimension</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="n">_mem_check</span><span class="p">,</span> <span class="n">log_args</span><span class="p">,</span> <span class="n">_lowered</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.utilities</span> <span class="kn">import</span> <span class="n">safe_cast</span><span class="p">,</span> <span class="n">safe_serialize</span>
+<span class="kn">from</span> <span class="nn">rex.utilities.utilities</span> <span class="kn">import</span> <span class="n">to_records_array</span>
+
+<span class="kn">from</span> <span class="nn">.utilities</span> <span class="kn">import</span> <span class="n">_check_for_cache</span>
+
+<span class="k">if</span> <span class="n">TYPE_CHECKING</span><span class="p">:</span>
+    <span class="kn">from</span> <span class="nn">sup3r.preprocessing.accessor</span> <span class="kn">import</span> <span class="n">Sup3rX</span>
+    <span class="kn">from</span> <span class="nn">sup3r.preprocessing.base</span> <span class="kn">import</span> <span class="n">Sup3rDataset</span>
+
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="Cacher">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.cachers.base.Cacher.html#sup3r.preprocessing.cachers.base.Cacher">[docs]</a>
+<span class="k">class</span> <span class="nc">Cacher</span><span class="p">(</span><span class="n">Container</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Base cacher object. Simply writes given data to H5 or NETCDF files. By</span>
+<span class="sd">    default every feature will be written to a separate file. To write multiple</span>
+<span class="sd">    features to the same file call :meth:`write_netcdf` or :meth:`write_h5`</span>
+<span class="sd">    directly&quot;&quot;&quot;</span>
+
+    <span class="nd">@log_args</span>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">data</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="s1">&#39;Sup3rX&#39;</span><span class="p">,</span> <span class="s1">&#39;Sup3rDataset&#39;</span><span class="p">],</span>
+        <span class="n">cache_kwargs</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        data : Union[Sup3rX, Sup3rDataset]</span>
+<span class="sd">            Data to write to file</span>
+<span class="sd">        cache_kwargs : dict</span>
+<span class="sd">            Dictionary with kwargs for caching wrangled data. This should at</span>
+<span class="sd">            minimum include a &#39;cache_pattern&#39; key, value. This pattern must</span>
+<span class="sd">            have a {feature} format key and either a h5 or nc file extension,</span>
+<span class="sd">            based on desired output type.</span>
+
+<span class="sd">            Can also include a ``max_workers`` key and ``chunks`` key.</span>
+<span class="sd">            ``max_workers`` is an inteeger specifying number of threads to use</span>
+<span class="sd">            for writing chunks to output files and ``chunks`` is a dictionary</span>
+<span class="sd">            of dictionaries for each feature (or a single dictionary to use</span>
+<span class="sd">            for all features). e.g.</span>
+<span class="sd">            .. code-block:: JSON</span>
+<span class="sd">                {&#39;cache_pattern&#39;: ...,</span>
+<span class="sd">                    &#39;chunks&#39;: {</span>
+<span class="sd">                        &#39;u_10m&#39;: {</span>
+<span class="sd">                            &#39;time&#39;: 20,</span>
+<span class="sd">                            &#39;south_north&#39;: 100,</span>
+<span class="sd">                            &#39;west_east&#39;: 100</span>
+<span class="sd">                        }</span>
+<span class="sd">                    }</span>
+<span class="sd">                }</span>
+
+<span class="sd">        Note</span>
+<span class="sd">        ----</span>
+<span class="sd">        This is only for saving cached data. If you want to reload the</span>
+<span class="sd">        cached files load them with a ``Loader`` object. ``DataHandler``</span>
+<span class="sd">        objects can cache and reload from cache automatically.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">)</span>
+        <span class="k">if</span> <span class="p">(</span>
+            <span class="n">cache_kwargs</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+            <span class="ow">and</span> <span class="n">cache_kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;cache_pattern&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+        <span class="p">):</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">out_files</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">cache_data</span><span class="p">(</span><span class="o">**</span><span class="n">cache_kwargs</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="nf">_write_single</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">feature</span><span class="p">,</span>
+        <span class="n">out_file</span><span class="p">,</span>
+        <span class="n">chunks</span><span class="p">,</span>
+        <span class="n">max_workers</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;w&#39;</span><span class="p">,</span>
+        <span class="n">attrs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">verbose</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Write single NETCDF or H5 cache file.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">out_file</span><span class="p">):</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">out_file</span><span class="si">}</span><span class="s1"> already exists. Delete if you want to overwrite.&#39;</span>
+            <span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">_</span><span class="p">,</span> <span class="n">ext</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">splitext</span><span class="p">(</span><span class="n">out_file</span><span class="p">)</span>
+            <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">out_file</span><span class="p">),</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+            <span class="n">tmp_file</span> <span class="o">=</span> <span class="n">out_file</span> <span class="o">+</span> <span class="s1">&#39;.tmp&#39;</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="s1">&#39;Writing </span><span class="si">%s</span><span class="s1"> to </span><span class="si">%s</span><span class="s1">. </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">feature</span><span class="p">,</span> <span class="n">tmp_file</span><span class="p">,</span> <span class="n">_mem_check</span><span class="p">()</span>
+            <span class="p">)</span>
+            <span class="k">if</span> <span class="n">ext</span> <span class="o">==</span> <span class="s1">&#39;.h5&#39;</span><span class="p">:</span>
+                <span class="n">func</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">write_h5</span>
+            <span class="k">elif</span> <span class="n">ext</span> <span class="o">==</span> <span class="s1">&#39;.nc&#39;</span><span class="p">:</span>
+                <span class="n">func</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">write_netcdf</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="s1">&#39;cache_pattern must have either h5 or nc extension. &#39;</span>
+                    <span class="sa">f</span><span class="s1">&#39;Received </span><span class="si">{</span><span class="n">ext</span><span class="si">}</span><span class="s1">.&#39;</span>
+                <span class="p">)</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">func</span><span class="p">(</span>
+                <span class="n">out_file</span><span class="o">=</span><span class="n">tmp_file</span><span class="p">,</span>
+                <span class="n">data</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">,</span>
+                <span class="n">features</span><span class="o">=</span><span class="p">[</span><span class="n">feature</span><span class="p">],</span>
+                <span class="n">chunks</span><span class="o">=</span><span class="n">chunks</span><span class="p">,</span>
+                <span class="n">max_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">,</span>
+                <span class="n">mode</span><span class="o">=</span><span class="n">mode</span><span class="p">,</span>
+                <span class="n">attrs</span><span class="o">=</span><span class="n">attrs</span><span class="p">,</span>
+                <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="n">os</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">tmp_file</span><span class="p">,</span> <span class="n">out_file</span><span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Moved </span><span class="si">%s</span><span class="s1"> to </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">tmp_file</span><span class="p">,</span> <span class="n">out_file</span><span class="p">)</span>
+
+<div class="viewcode-block" id="Cacher.cache_data">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.cachers.base.Cacher.html#sup3r.preprocessing.cachers.base.Cacher.cache_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">cache_data</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">cache_pattern</span><span class="p">,</span>
+        <span class="n">chunks</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">max_workers</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;w&#39;</span><span class="p">,</span>
+        <span class="n">attrs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">verbose</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Cache data to file with file type based on user provided</span>
+<span class="sd">        cache_pattern.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        cache_pattern : str</span>
+<span class="sd">            Cache file pattern. Must have a {feature} format key. The extension</span>
+<span class="sd">            (.h5 or .nc) specifies which format to use for caching.</span>
+<span class="sd">        chunks : dict | None</span>
+<span class="sd">            Chunk sizes for coordinate dimensions. e.g.</span>
+<span class="sd">            ``{&#39;u_10m&#39;: {&#39;time&#39;: 10, &#39;south_north&#39;: 100, &#39;west_east&#39;: 100}}``</span>
+<span class="sd">        max_workers : int | None</span>
+<span class="sd">            Number of workers to use for parallel writing of chunks</span>
+<span class="sd">        mode : str</span>
+<span class="sd">            Write mode for ``out_file``. Defaults to write.</span>
+<span class="sd">        attrs : dict | None</span>
+<span class="sd">            Optional attributes to write to file. Can specify dataset specific</span>
+<span class="sd">            attributes by adding a dictionary with the dataset name as a key.</span>
+<span class="sd">            e.g. {**global_attrs, dset: {...}}</span>
+<span class="sd">        verbose : bool</span>
+<span class="sd">            Whether to log progress for each chunk written to output files.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;cache_pattern must have </span><span class="si">{feature}</span><span class="s1"> format key.&#39;</span>
+        <span class="k">assert</span> <span class="s1">&#39;</span><span class="si">{feature}</span><span class="s1">&#39;</span> <span class="ow">in</span> <span class="n">cache_pattern</span><span class="p">,</span> <span class="n">msg</span>
+
+        <span class="n">cached_files</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">missing_files</span><span class="p">,</span> <span class="n">missing_features</span> <span class="o">=</span> <span class="n">_check_for_cache</span><span class="p">(</span>
+            <span class="n">features</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">,</span>
+            <span class="n">cache_kwargs</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;cache_pattern&#39;</span><span class="p">:</span> <span class="n">cache_pattern</span><span class="p">},</span>
+        <span class="p">)</span>
+
+        <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">cached_files</span><span class="p">):</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="s1">&#39;Cache files </span><span class="si">%s</span><span class="s1"> already exist. Delete to overwrite.&#39;</span><span class="p">,</span>
+                <span class="n">cached_files</span><span class="p">,</span>
+            <span class="p">)</span>
+
+        <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">missing_files</span><span class="p">):</span>
+            <span class="k">for</span> <span class="n">feature</span><span class="p">,</span> <span class="n">out_file</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">missing_features</span><span class="p">,</span> <span class="n">missing_files</span><span class="p">):</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_write_single</span><span class="p">(</span>
+                    <span class="n">feature</span><span class="o">=</span><span class="n">feature</span><span class="p">,</span>
+                    <span class="n">out_file</span><span class="o">=</span><span class="n">out_file</span><span class="p">,</span>
+                    <span class="n">chunks</span><span class="o">=</span><span class="n">chunks</span><span class="p">,</span>
+                    <span class="n">max_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">,</span>
+                    <span class="n">mode</span><span class="o">=</span><span class="n">mode</span><span class="p">,</span>
+                    <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span><span class="p">,</span>
+                    <span class="n">attrs</span><span class="o">=</span><span class="n">attrs</span><span class="p">,</span>
+                <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Finished writing </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">missing_files</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">missing_files</span> <span class="o">+</span> <span class="n">cached_files</span></div>
+
+
+<div class="viewcode-block" id="Cacher.parse_chunks">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.cachers.base.Cacher.html#sup3r.preprocessing.cachers.base.Cacher.parse_chunks">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">parse_chunks</span><span class="p">(</span><span class="n">feature</span><span class="p">,</span> <span class="n">chunks</span><span class="p">,</span> <span class="n">dims</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Parse chunks input to Cacher. Needs to be a dictionary of dimensions</span>
+<span class="sd">        and chunk values but parsed to a tuple for H5 caching.&quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">chunks</span><span class="p">,</span> <span class="nb">dict</span><span class="p">)</span> <span class="ow">and</span> <span class="n">feature</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">in</span> <span class="n">_lowered</span><span class="p">(</span><span class="n">chunks</span><span class="p">):</span>
+            <span class="n">chunks</span> <span class="o">=</span> <span class="p">{</span><span class="n">k</span><span class="o">.</span><span class="n">lower</span><span class="p">():</span> <span class="n">v</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">chunks</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
+            <span class="n">fchunks</span> <span class="o">=</span> <span class="n">chunks</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">feature</span><span class="p">,</span> <span class="p">{})</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">fchunks</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">chunks</span><span class="p">)</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">fchunks</span><span class="p">,</span> <span class="nb">dict</span><span class="p">):</span>
+            <span class="n">fchunks</span> <span class="o">=</span> <span class="p">{</span><span class="n">d</span><span class="p">:</span> <span class="n">fchunks</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">d</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span> <span class="k">for</span> <span class="n">d</span> <span class="ow">in</span> <span class="n">dims</span><span class="p">}</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">fchunks</span><span class="p">,</span> <span class="nb">int</span><span class="p">):</span>
+            <span class="n">fchunks</span> <span class="o">=</span> <span class="p">{</span><span class="n">feature</span><span class="p">:</span> <span class="n">fchunks</span><span class="p">}</span>
+        <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">chk</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">for</span> <span class="n">chk</span> <span class="ow">in</span> <span class="n">fchunks</span><span class="p">):</span>
+            <span class="n">fchunks</span> <span class="o">=</span> <span class="s1">&#39;auto&#39;</span>
+        <span class="k">return</span> <span class="n">fchunks</span></div>
+
+
+<div class="viewcode-block" id="Cacher.get_chunksizes">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.cachers.base.Cacher.html#sup3r.preprocessing.cachers.base.Cacher.get_chunksizes">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">get_chunksizes</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">dset</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">chunks</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get chunksizes after rechunking (could be undetermined beforehand</span>
+<span class="sd">        if ``chunks == &#39;auto&#39;``) and return rechunked data.&quot;&quot;&quot;</span>
+        <span class="n">data_var</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">coords</span><span class="p">[</span><span class="n">dset</span><span class="p">]</span> <span class="k">if</span> <span class="n">dset</span> <span class="ow">in</span> <span class="n">data</span><span class="o">.</span><span class="n">coords</span> <span class="k">else</span> <span class="n">data</span><span class="p">[</span><span class="n">dset</span><span class="p">]</span>
+        <span class="n">fchunk</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">parse_chunks</span><span class="p">(</span><span class="n">dset</span><span class="p">,</span> <span class="n">chunks</span><span class="p">,</span> <span class="n">data_var</span><span class="o">.</span><span class="n">dims</span><span class="p">)</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">fchunk</span><span class="p">,</span> <span class="nb">dict</span><span class="p">):</span>
+            <span class="n">fchunk</span> <span class="o">=</span> <span class="p">{</span><span class="n">k</span><span class="p">:</span> <span class="n">v</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">fchunk</span><span class="o">.</span><span class="n">items</span><span class="p">()</span> <span class="k">if</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">data_var</span><span class="o">.</span><span class="n">dims</span><span class="p">}</span>
+
+        <span class="n">data_var</span> <span class="o">=</span> <span class="n">data_var</span><span class="o">.</span><span class="n">chunk</span><span class="p">(</span><span class="n">fchunk</span><span class="p">)</span>
+        <span class="n">data_var</span> <span class="o">=</span> <span class="n">data_var</span><span class="o">.</span><span class="n">unify_chunks</span><span class="p">()</span>
+
+        <span class="n">chunksizes</span> <span class="o">=</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">d</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="k">for</span> <span class="n">d</span> <span class="ow">in</span> <span class="n">data_var</span><span class="o">.</span><span class="n">chunksizes</span><span class="o">.</span><span class="n">values</span><span class="p">())</span>
+        <span class="n">chunksizes</span> <span class="o">=</span> <span class="n">chunksizes</span> <span class="k">if</span> <span class="n">chunksizes</span> <span class="k">else</span> <span class="kc">None</span>
+        <span class="k">if</span> <span class="n">chunksizes</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">chunkmem</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="n">chunksizes</span><span class="p">)</span> <span class="o">*</span> <span class="n">data_var</span><span class="o">.</span><span class="n">dtype</span><span class="o">.</span><span class="n">itemsize</span> <span class="o">/</span> <span class="mf">1e9</span>
+            <span class="n">chunkmem</span> <span class="o">=</span> <span class="nb">round</span><span class="p">(</span><span class="n">chunkmem</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span>
+            <span class="k">if</span> <span class="n">chunkmem</span> <span class="o">&gt;</span> <span class="mi">4</span><span class="p">:</span>
+                <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="s1">&#39;Chunks cannot be larger than 4GB. Given chunksizes </span><span class="si">%s</span><span class="s1"> &#39;</span>
+                    <span class="s1">&#39;result in </span><span class="si">%s</span><span class="s1">GB. Will use chunksizes = None&#39;</span>
+                <span class="p">)</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">,</span> <span class="n">chunksizes</span><span class="p">,</span> <span class="n">chunkmem</span><span class="p">)</span>
+                <span class="n">warn</span><span class="p">(</span><span class="n">msg</span> <span class="o">%</span> <span class="p">(</span><span class="n">chunksizes</span><span class="p">,</span> <span class="n">chunkmem</span><span class="p">))</span>
+                <span class="n">chunksizes</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="k">return</span> <span class="n">data_var</span><span class="p">,</span> <span class="n">chunksizes</span></div>
+
+
+<div class="viewcode-block" id="Cacher.add_coord_meta">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.cachers.base.Cacher.html#sup3r.preprocessing.cachers.base.Cacher.add_coord_meta">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">add_coord_meta</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">out_file</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Add flattened coordinate meta to out_file. This is used for h5</span>
+<span class="sd">        caching.&quot;&quot;&quot;</span>
+        <span class="n">meta</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">()</span>
+        <span class="k">for</span> <span class="n">coord</span> <span class="ow">in</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">coords_2d</span><span class="p">():</span>
+            <span class="k">if</span> <span class="n">coord</span> <span class="ow">in</span> <span class="n">data</span><span class="p">:</span>
+                <span class="n">meta</span><span class="p">[</span><span class="n">coord</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">coord</span><span class="p">]</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">flatten</span><span class="p">()</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Adding coordinate meta to </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">out_file</span><span class="p">)</span>
+        <span class="k">with</span> <span class="n">h5py</span><span class="o">.</span><span class="n">File</span><span class="p">(</span><span class="n">out_file</span><span class="p">,</span> <span class="s1">&#39;a&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+            <span class="n">meta</span> <span class="o">=</span> <span class="n">to_records_array</span><span class="p">(</span><span class="n">meta</span><span class="p">)</span>
+            <span class="n">f</span><span class="o">.</span><span class="n">create_dataset</span><span class="p">(</span>
+                <span class="s1">&#39;/meta&#39;</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="n">meta</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">meta</span><span class="o">.</span><span class="n">dtype</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">meta</span>
+            <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Cacher.write_h5">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.cachers.base.Cacher.html#sup3r.preprocessing.cachers.base.Cacher.write_h5">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">write_h5</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">out_file</span><span class="p">,</span>
+        <span class="n">data</span><span class="p">,</span>
+        <span class="n">features</span><span class="o">=</span><span class="s1">&#39;all&#39;</span><span class="p">,</span>
+        <span class="n">chunks</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">max_workers</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;w&#39;</span><span class="p">,</span>
+        <span class="n">attrs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">verbose</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>  <span class="c1"># noqa # pylint: disable=W0613</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Cache data to h5 file using user provided chunks value.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        out_file : str</span>
+<span class="sd">            Name of file to write. Must have a .h5 extension.</span>
+<span class="sd">        data : Sup3rDataset | Sup3rX | xr.Dataset</span>
+<span class="sd">            Data to write to file. Comes from ``self.data``, so an</span>
+<span class="sd">            ``xr.Dataset`` like object with ``.dims`` and ``.coords``</span>
+<span class="sd">        features : str | list</span>
+<span class="sd">            Name of feature(s) to write to file.</span>
+<span class="sd">        chunks : dict | None</span>
+<span class="sd">            Chunk sizes for coordinate dimensions. e.g.</span>
+<span class="sd">            ``{&#39;u_10m&#39;: {&#39;time&#39;: 10, &#39;south_north&#39;: 100, &#39;west_east&#39;: 100}}``</span>
+<span class="sd">        max_workers : int | None</span>
+<span class="sd">            Number of workers to use for parallel writing of chunks</span>
+<span class="sd">        mode : str</span>
+<span class="sd">            Write mode for ``out_file``. Defaults to write.</span>
+<span class="sd">        attrs : dict | None</span>
+<span class="sd">            Optional attributes to write to file. Can specify dataset specific</span>
+<span class="sd">            attributes by adding a dictionary with the dataset name as a key.</span>
+<span class="sd">            e.g. {**global_attrs, dset: {...}}</span>
+<span class="sd">        verbose : bool</span>
+<span class="sd">            Dummy arg to match ``write_netcdf`` signature</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">dims</span><span class="p">)</span> <span class="o">==</span> <span class="mi">3</span><span class="p">:</span>
+            <span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">,</span> <span class="o">*</span><span class="n">Dimension</span><span class="o">.</span><span class="n">dims_2d</span><span class="p">())</span>
+        <span class="k">if</span> <span class="n">features</span> <span class="o">==</span> <span class="s1">&#39;all&#39;</span><span class="p">:</span>
+            <span class="n">features</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">data_vars</span><span class="p">)</span>
+        <span class="n">features</span> <span class="o">=</span> <span class="n">features</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">features</span><span class="p">,</span> <span class="nb">list</span><span class="p">)</span> <span class="k">else</span> <span class="p">[</span><span class="n">features</span><span class="p">]</span>
+        <span class="n">chunks</span> <span class="o">=</span> <span class="n">chunks</span> <span class="ow">or</span> <span class="s1">&#39;auto&#39;</span>
+        <span class="n">global_attrs</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">attrs</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+        <span class="n">global_attrs</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">attrs</span> <span class="ow">or</span> <span class="p">{})</span>
+        <span class="n">attrs</span> <span class="o">=</span> <span class="p">{</span><span class="n">k</span><span class="p">:</span> <span class="n">safe_cast</span><span class="p">(</span><span class="n">v</span><span class="p">)</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">global_attrs</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
+        <span class="k">with</span> <span class="n">h5py</span><span class="o">.</span><span class="n">File</span><span class="p">(</span><span class="n">out_file</span><span class="p">,</span> <span class="n">mode</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+            <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">attrs</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="n">v</span>
+
+            <span class="n">coord_names</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="n">crd</span> <span class="k">for</span> <span class="n">crd</span> <span class="ow">in</span> <span class="n">data</span><span class="o">.</span><span class="n">coords</span> <span class="k">if</span> <span class="n">crd</span> <span class="ow">in</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">coords_4d</span><span class="p">()</span>
+            <span class="p">]</span>
+            <span class="k">for</span> <span class="n">dset</span> <span class="ow">in</span> <span class="p">[</span><span class="o">*</span><span class="n">coord_names</span><span class="p">,</span> <span class="o">*</span><span class="n">features</span><span class="p">]:</span>
+                <span class="n">data_var</span><span class="p">,</span> <span class="n">chunksizes</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_chunksizes</span><span class="p">(</span><span class="n">dset</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">chunks</span><span class="p">)</span>
+
+                <span class="k">if</span> <span class="n">dset</span> <span class="o">==</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">:</span>
+                    <span class="n">data_var</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">data_var</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">int</span><span class="p">)</span><span class="o">.</span><span class="n">data</span><span class="p">)</span>
+                <span class="k">else</span><span class="p">:</span>
+                    <span class="n">data_var</span> <span class="o">=</span> <span class="n">data_var</span><span class="o">.</span><span class="n">data</span>
+
+                <span class="n">dset_name</span> <span class="o">=</span> <span class="n">dset</span>
+                <span class="k">if</span> <span class="n">dset</span> <span class="o">==</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">:</span>
+                    <span class="n">dset_name</span> <span class="o">=</span> <span class="s1">&#39;time_index&#39;</span>
+
+                <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                    <span class="s1">&#39;Adding </span><span class="si">%s</span><span class="s1"> to </span><span class="si">%s</span><span class="s1"> with chunks=</span><span class="si">%s</span><span class="s1"> and max_workers=</span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span>
+                    <span class="n">dset</span><span class="p">,</span>
+                    <span class="n">out_file</span><span class="p">,</span>
+                    <span class="n">chunksizes</span><span class="p">,</span>
+                    <span class="n">max_workers</span><span class="p">,</span>
+                <span class="p">)</span>
+
+                <span class="n">d</span> <span class="o">=</span> <span class="n">f</span><span class="o">.</span><span class="n">create_dataset</span><span class="p">(</span>
+                    <span class="sa">f</span><span class="s1">&#39;/</span><span class="si">{</span><span class="n">dset_name</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">,</span>
+                    <span class="n">dtype</span><span class="o">=</span><span class="n">data_var</span><span class="o">.</span><span class="n">dtype</span><span class="p">,</span>
+                    <span class="n">shape</span><span class="o">=</span><span class="n">data_var</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span>
+                    <span class="n">chunks</span><span class="o">=</span><span class="n">chunksizes</span><span class="p">,</span>
+                <span class="p">)</span>
+                <span class="k">if</span> <span class="n">max_workers</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+                    <span class="n">da</span><span class="o">.</span><span class="n">store</span><span class="p">(</span><span class="n">data_var</span><span class="p">,</span> <span class="n">d</span><span class="p">,</span> <span class="n">scheduler</span><span class="o">=</span><span class="s1">&#39;single-threaded&#39;</span><span class="p">)</span>
+                <span class="k">else</span><span class="p">:</span>
+                    <span class="n">da</span><span class="o">.</span><span class="n">store</span><span class="p">(</span>
+                        <span class="n">data_var</span><span class="p">,</span>
+                        <span class="n">d</span><span class="p">,</span>
+                        <span class="n">scheduler</span><span class="o">=</span><span class="s1">&#39;threads&#39;</span><span class="p">,</span>
+                        <span class="n">num_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">,</span>
+                    <span class="p">)</span>
+        <span class="bp">cls</span><span class="o">.</span><span class="n">add_coord_meta</span><span class="p">(</span><span class="n">out_file</span><span class="o">=</span><span class="n">out_file</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Cacher.get_chunk_slices">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.cachers.base.Cacher.html#sup3r.preprocessing.cachers.base.Cacher.get_chunk_slices">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">get_chunk_slices</span><span class="p">(</span><span class="n">chunks</span><span class="p">,</span> <span class="n">shape</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get slices used to write xarray data to netcdf file in chunks.&quot;&quot;&quot;</span>
+        <span class="n">slices</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">shape</span><span class="p">)):</span>
+            <span class="n">slice_ranges</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="p">(</span><span class="nb">slice</span><span class="p">(</span><span class="n">k</span><span class="p">,</span> <span class="nb">min</span><span class="p">(</span><span class="n">k</span> <span class="o">+</span> <span class="n">chunks</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="n">shape</span><span class="p">[</span><span class="n">i</span><span class="p">])))</span>
+                <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">shape</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="n">chunks</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
+            <span class="p">]</span>
+            <span class="n">slices</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">slice_ranges</span><span class="p">)</span>
+        <span class="k">return</span> <span class="nb">list</span><span class="p">(</span><span class="n">itertools</span><span class="o">.</span><span class="n">product</span><span class="p">(</span><span class="o">*</span><span class="n">slices</span><span class="p">))</span></div>
+
+
+<div class="viewcode-block" id="Cacher.write_chunk">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.cachers.base.Cacher.html#sup3r.preprocessing.cachers.base.Cacher.write_chunk">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">write_chunk</span><span class="p">(</span><span class="n">out_file</span><span class="p">,</span> <span class="n">dset</span><span class="p">,</span> <span class="n">chunk_slice</span><span class="p">,</span> <span class="n">chunk_data</span><span class="p">,</span> <span class="n">msg</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Add chunk to netcdf file.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">msg</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="k">with</span> <span class="n">nc4</span><span class="o">.</span><span class="n">Dataset</span><span class="p">(</span><span class="n">out_file</span><span class="p">,</span> <span class="s1">&#39;a&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">ds</span><span class="p">:</span>
+            <span class="n">var</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">variables</span><span class="p">[</span><span class="n">dset</span><span class="p">]</span>
+            <span class="n">var</span><span class="p">[</span><span class="n">chunk_slice</span><span class="p">]</span> <span class="o">=</span> <span class="n">chunk_data</span></div>
+
+
+<div class="viewcode-block" id="Cacher.write_netcdf_chunks">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.cachers.base.Cacher.html#sup3r.preprocessing.cachers.base.Cacher.write_netcdf_chunks">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">write_netcdf_chunks</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">out_file</span><span class="p">,</span>
+        <span class="n">feature</span><span class="p">,</span>
+        <span class="n">data</span><span class="p">,</span>
+        <span class="n">chunks</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">max_workers</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">verbose</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Write netcdf chunks with delayed dask tasks.&quot;&quot;&quot;</span>
+        <span class="n">tasks</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">data_var</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span>
+        <span class="n">data_var</span><span class="p">,</span> <span class="n">chunksizes</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_chunksizes</span><span class="p">(</span><span class="n">feature</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">chunks</span><span class="p">)</span>
+        <span class="n">chunksizes</span> <span class="o">=</span> <span class="n">data_var</span><span class="o">.</span><span class="n">shape</span> <span class="k">if</span> <span class="n">chunksizes</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">chunksizes</span>
+        <span class="n">chunk_slices</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_chunk_slices</span><span class="p">(</span><span class="n">chunksizes</span><span class="p">,</span> <span class="n">data_var</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;Adding </span><span class="si">%s</span><span class="s1"> to </span><span class="si">%s</span><span class="s1"> with </span><span class="si">%s</span><span class="s1"> chunks and max_workers=</span><span class="si">%s</span><span class="s1">. </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span>
+            <span class="n">feature</span><span class="p">,</span>
+            <span class="n">out_file</span><span class="p">,</span>
+            <span class="nb">len</span><span class="p">(</span><span class="n">chunk_slices</span><span class="p">),</span>
+            <span class="n">max_workers</span><span class="p">,</span>
+            <span class="n">_mem_check</span><span class="p">(),</span>
+        <span class="p">)</span>
+        <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">chunk_slice</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">chunk_slices</span><span class="p">):</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;Writing chunk </span><span class="si">{</span><span class="n">i</span><span class="si">}</span><span class="s1"> / </span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">chunk_slices</span><span class="p">)</span><span class="si">}</span><span class="s1"> to </span><span class="si">{</span><span class="n">out_file</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="kc">None</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">verbose</span> <span class="k">else</span> <span class="n">msg</span>
+            <span class="n">chunk</span> <span class="o">=</span> <span class="n">data_var</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">chunk_slice</span><span class="p">]</span>
+            <span class="n">task</span> <span class="o">=</span> <span class="n">dask</span><span class="o">.</span><span class="n">delayed</span><span class="p">(</span><span class="bp">cls</span><span class="o">.</span><span class="n">write_chunk</span><span class="p">)(</span>
+                <span class="n">out_file</span><span class="p">,</span> <span class="n">feature</span><span class="p">,</span> <span class="n">chunk_slice</span><span class="p">,</span> <span class="n">chunk</span><span class="p">,</span> <span class="n">msg</span>
+            <span class="p">)</span>
+            <span class="n">tasks</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">task</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">max_workers</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">dask</span><span class="o">.</span><span class="n">compute</span><span class="p">(</span><span class="o">*</span><span class="n">tasks</span><span class="p">,</span> <span class="n">scheduler</span><span class="o">=</span><span class="s1">&#39;single-threaded&#39;</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">dask</span><span class="o">.</span><span class="n">compute</span><span class="p">(</span><span class="o">*</span><span class="n">tasks</span><span class="p">,</span> <span class="n">scheduler</span><span class="o">=</span><span class="s1">&#39;threads&#39;</span><span class="p">,</span> <span class="n">num_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Cacher.write_netcdf">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.cachers.base.Cacher.html#sup3r.preprocessing.cachers.base.Cacher.write_netcdf">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">write_netcdf</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">out_file</span><span class="p">,</span>
+        <span class="n">data</span><span class="p">,</span>
+        <span class="n">features</span><span class="o">=</span><span class="s1">&#39;all&#39;</span><span class="p">,</span>
+        <span class="n">chunks</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">max_workers</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;w&#39;</span><span class="p">,</span>
+        <span class="n">attrs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">verbose</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Cache data to a netcdf file.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        out_file : str</span>
+<span class="sd">            Name of file to write. Must have a ``.nc`` extension.</span>
+<span class="sd">        data : Sup3rDataset</span>
+<span class="sd">            Data to write to file. Comes from ``self.data``, so a</span>
+<span class="sd">            ``Sup3rDataset`` with coords attributes</span>
+<span class="sd">        features : str | list</span>
+<span class="sd">            Names of feature(s) to write to file.</span>
+<span class="sd">        chunks : dict | None</span>
+<span class="sd">            Chunk sizes for coordinate dimensions. e.g. ``{&#39;south_north&#39;: 100,</span>
+<span class="sd">            &#39;west_east&#39;: 100, &#39;time&#39;: 10}`` Can also include dataset specific</span>
+<span class="sd">            values. e.g. ``{&#39;windspeed&#39;: {&#39;south_north&#39;: 100, &#39;west_east&#39;: 100,</span>
+<span class="sd">            &#39;time&#39;: 10}}``</span>
+<span class="sd">        max_workers : int | None</span>
+<span class="sd">            Number of workers to use for parallel writing of chunks</span>
+<span class="sd">        mode : str</span>
+<span class="sd">            Write mode for ``out_file``. Defaults to write.</span>
+<span class="sd">        attrs : dict | None</span>
+<span class="sd">            Optional attributes to write to file. Can specify dataset specific</span>
+<span class="sd">            attributes by adding a dictionary with the dataset name as a key.</span>
+<span class="sd">            e.g. {**global_attrs, dset: {...}}</span>
+<span class="sd">        verbose : bool</span>
+<span class="sd">            Whether to log output after each chunk is written.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">chunks</span> <span class="o">=</span> <span class="n">chunks</span> <span class="ow">or</span> <span class="s1">&#39;auto&#39;</span>
+        <span class="n">global_attrs</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">attrs</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+        <span class="n">global_attrs</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">attrs</span> <span class="ow">or</span> <span class="p">{})</span>
+        <span class="n">attrs</span> <span class="o">=</span> <span class="n">global_attrs</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+        <span class="k">if</span> <span class="n">features</span> <span class="o">==</span> <span class="s1">&#39;all&#39;</span><span class="p">:</span>
+            <span class="n">features</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">data_vars</span><span class="p">)</span>
+        <span class="n">features</span> <span class="o">=</span> <span class="n">features</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">features</span><span class="p">,</span> <span class="nb">list</span><span class="p">)</span> <span class="k">else</span> <span class="p">[</span><span class="n">features</span><span class="p">]</span>
+        <span class="k">with</span> <span class="n">nc4</span><span class="o">.</span><span class="n">Dataset</span><span class="p">(</span><span class="n">out_file</span><span class="p">,</span> <span class="n">mode</span><span class="p">,</span> <span class="nb">format</span><span class="o">=</span><span class="s1">&#39;NETCDF4&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">ncfile</span><span class="p">:</span>
+            <span class="k">for</span> <span class="n">dim_name</span><span class="p">,</span> <span class="n">dim_size</span> <span class="ow">in</span> <span class="n">data</span><span class="o">.</span><span class="n">sizes</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                <span class="n">ncfile</span><span class="o">.</span><span class="n">createDimension</span><span class="p">(</span><span class="n">dim_name</span><span class="p">,</span> <span class="n">dim_size</span><span class="p">)</span>
+
+            <span class="n">coord_names</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="n">crd</span> <span class="k">for</span> <span class="n">crd</span> <span class="ow">in</span> <span class="n">data</span><span class="o">.</span><span class="n">coords</span> <span class="k">if</span> <span class="n">crd</span> <span class="ow">in</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">coords_4d</span><span class="p">()</span>
+            <span class="p">]</span>
+            <span class="k">for</span> <span class="n">dset</span> <span class="ow">in</span> <span class="p">[</span><span class="o">*</span><span class="n">coord_names</span><span class="p">,</span> <span class="o">*</span><span class="n">features</span><span class="p">]:</span>
+                <span class="n">data_var</span><span class="p">,</span> <span class="n">chunksizes</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_chunksizes</span><span class="p">(</span><span class="n">dset</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">chunks</span><span class="p">)</span>
+
+                <span class="k">if</span> <span class="n">dset</span> <span class="o">==</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">:</span>
+                    <span class="n">data_var</span> <span class="o">=</span> <span class="n">data_var</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">int</span><span class="p">)</span>
+
+                <span class="n">dout</span> <span class="o">=</span> <span class="n">ncfile</span><span class="o">.</span><span class="n">createVariable</span><span class="p">(</span>
+                    <span class="n">dset</span><span class="p">,</span> <span class="n">data_var</span><span class="o">.</span><span class="n">dtype</span><span class="p">,</span> <span class="n">data_var</span><span class="o">.</span><span class="n">dims</span><span class="p">,</span> <span class="n">chunksizes</span><span class="o">=</span><span class="n">chunksizes</span>
+                <span class="p">)</span>
+                <span class="n">var_attrs</span> <span class="o">=</span> <span class="n">data_var</span><span class="o">.</span><span class="n">attrs</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+                <span class="n">var_attrs</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">attrs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="n">dset</span><span class="p">,</span> <span class="p">{}))</span>
+                <span class="k">for</span> <span class="n">attr_name</span><span class="p">,</span> <span class="n">attr_value</span> <span class="ow">in</span> <span class="n">var_attrs</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                    <span class="n">dout</span><span class="o">.</span><span class="n">setncattr</span><span class="p">(</span><span class="n">attr_name</span><span class="p">,</span> <span class="n">safe_cast</span><span class="p">(</span><span class="n">attr_value</span><span class="p">))</span>
+
+                <span class="n">dout</span><span class="o">.</span><span class="n">coordinates</span> <span class="o">=</span> <span class="s1">&#39; &#39;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="n">coord_names</span><span class="p">))</span>
+
+                <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                    <span class="s1">&#39;Adding </span><span class="si">%s</span><span class="s1"> to </span><span class="si">%s</span><span class="s1"> with chunks=</span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span>
+                    <span class="n">dset</span><span class="p">,</span>
+                    <span class="n">out_file</span><span class="p">,</span>
+                    <span class="n">chunksizes</span><span class="p">,</span>
+                <span class="p">)</span>
+
+                <span class="k">if</span> <span class="n">dset</span> <span class="ow">in</span> <span class="n">data</span><span class="o">.</span><span class="n">coords</span><span class="p">:</span>
+                    <span class="n">ncfile</span><span class="o">.</span><span class="n">variables</span><span class="p">[</span><span class="n">dset</span><span class="p">][:]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">data_var</span><span class="o">.</span><span class="n">data</span><span class="p">)</span>
+
+            <span class="k">for</span> <span class="n">attr_name</span><span class="p">,</span> <span class="n">attr_value</span> <span class="ow">in</span> <span class="n">attrs</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                <span class="n">attr_value</span> <span class="o">=</span> <span class="n">safe_cast</span><span class="p">(</span><span class="n">attr_value</span><span class="p">)</span>
+                <span class="k">try</span><span class="p">:</span>
+                    <span class="n">ncfile</span><span class="o">.</span><span class="n">setncattr</span><span class="p">(</span><span class="n">attr_name</span><span class="p">,</span> <span class="n">attr_value</span><span class="p">)</span>
+                <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
+                    <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Could not write </span><span class="si">{</span><span class="n">attr_name</span><span class="si">}</span><span class="s1"> as attribute, &#39;</span>
+                           <span class="sa">f</span><span class="s1">&#39;serializing with json dumps, &#39;</span>
+                           <span class="sa">f</span><span class="s1">&#39;received error: &quot;</span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s1">&quot;&#39;</span><span class="p">)</span>
+                    <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                    <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                    <span class="n">ncfile</span><span class="o">.</span><span class="n">setncattr</span><span class="p">(</span><span class="n">attr_name</span><span class="p">,</span> <span class="n">safe_serialize</span><span class="p">(</span><span class="n">attr_value</span><span class="p">))</span>
+
+        <span class="k">for</span> <span class="n">feature</span> <span class="ow">in</span> <span class="n">features</span><span class="p">:</span>
+            <span class="bp">cls</span><span class="o">.</span><span class="n">write_netcdf_chunks</span><span class="p">(</span>
+                <span class="n">out_file</span><span class="o">=</span><span class="n">out_file</span><span class="p">,</span>
+                <span class="n">feature</span><span class="o">=</span><span class="n">feature</span><span class="p">,</span>
+                <span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span>
+                <span class="n">chunks</span><span class="o">=</span><span class="n">chunks</span><span class="p">,</span>
+                <span class="n">max_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">,</span>
+                <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span><span class="p">,</span>
+            <span class="p">)</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Finished writing </span><span class="si">%s</span><span class="s1"> to </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">features</span><span class="p">,</span> <span class="n">out_file</span><span class="p">)</span></div>
+</div>
+
+</pre></div>
+
+                </article>
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+<li class="toctree-l4"><a class="reference internal" href="../../../../_autosummary/sup3r.bias.mixins.ZeroRateMixin.html">sup3r.bias.mixins.ZeroRateMixin</a></li>
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+  <h1>Source code for sup3r.preprocessing.collections.base</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Base collection classes. These are objects that contain sets / lists of</span>
+<span class="sd">containers like batch handlers. Of course these also contain data so they&#39;re</span>
+<span class="sd">containers too!</span>
+
+<span class="sd">TODO: https://github.com/xarray-contrib/datatree could unify Sup3rDataset and</span>
+<span class="sd">collections of data. Consider migrating once datatree has been fully</span>
+<span class="sd">integrated into xarray (in progress as of 8/8/2024)</span>
+<span class="sd">&quot;&quot;&quot;</span>
+
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">TYPE_CHECKING</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Union</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.base</span> <span class="kn">import</span> <span class="n">Container</span>
+
+<span class="k">if</span> <span class="n">TYPE_CHECKING</span><span class="p">:</span>
+    <span class="kn">from</span> <span class="nn">sup3r.preprocessing.samplers.base</span> <span class="kn">import</span> <span class="n">Sampler</span>
+    <span class="kn">from</span> <span class="nn">sup3r.preprocessing.samplers.dual</span> <span class="kn">import</span> <span class="n">DualSampler</span>
+
+
+<div class="viewcode-block" id="Collection">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection">[docs]</a>
+<span class="k">class</span> <span class="nc">Collection</span><span class="p">(</span><span class="n">Container</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Object consisting of a set of containers. These objects are distinct</span>
+<span class="sd">    from :class:`~sup3r.preprocessing.base.Sup3rDataset` objects, which also</span>
+<span class="sd">    contain multiple data members, because these members are completely</span>
+<span class="sd">    independent of each other. They are collected together for the purpose of</span>
+<span class="sd">    expanding a training dataset (e.g. BatchHandlers).&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">containers</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span>
+            <span class="n">List</span><span class="p">[</span><span class="s1">&#39;Container&#39;</span><span class="p">],</span>
+            <span class="n">List</span><span class="p">[</span><span class="s1">&#39;Sampler&#39;</span><span class="p">],</span>
+            <span class="n">List</span><span class="p">[</span><span class="s1">&#39;DualSampler&#39;</span><span class="p">],</span>
+        <span class="p">],</span>
+    <span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">data</span> <span class="o">=</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">data</span> <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="n">containers</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">containers</span> <span class="o">=</span> <span class="n">containers</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_features</span><span class="p">:</span> <span class="n">List</span> <span class="o">=</span> <span class="p">[]</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">features</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get all features contained in data.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_features</span><span class="p">:</span>
+            <span class="n">_</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_features</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">([</span><span class="n">d</span><span class="o">.</span><span class="n">features</span> <span class="k">for</span> <span class="n">d</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">])</span>
+                <span class="k">if</span> <span class="n">f</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_features</span>
+            <span class="p">]</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_features</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">container_weights</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get weights used to sample from different containers based on</span>
+<span class="sd">        relative sizes&quot;&quot;&quot;</span>
+        <span class="n">sizes</span> <span class="o">=</span> <span class="p">[</span><span class="n">c</span><span class="o">.</span><span class="n">size</span> <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">containers</span><span class="p">]</span>
+        <span class="n">weights</span> <span class="o">=</span> <span class="n">sizes</span> <span class="o">/</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">sizes</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">weights</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="fm">__getattr__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">attr</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get attributes from self or the first container in the</span>
+<span class="sd">        collection.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">attr</span> <span class="ow">in</span> <span class="nb">dir</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+            <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="fm">__getattribute__</span><span class="p">(</span><span class="n">attr</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">check_shared_attr</span><span class="p">(</span><span class="n">attr</span><span class="p">)</span>
+
+<div class="viewcode-block" id="Collection.check_shared_attr">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection.check_shared_attr">[docs]</a>
+    <span class="k">def</span> <span class="nf">check_shared_attr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">attr</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if all containers have the same value for `attr`. If they do</span>
+<span class="sd">        the collection effectively inherits those attributes.&quot;&quot;&quot;</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;Not all collection containers have the same value for </span><span class="si">{</span><span class="n">attr</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">containers</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">attr</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="nb">list</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">)):</span>
+            <span class="n">check</span> <span class="o">=</span> <span class="nb">all</span><span class="p">(</span>
+                <span class="n">np</span><span class="o">.</span><span class="n">array_equal</span><span class="p">(</span><span class="nb">getattr</span><span class="p">(</span><span class="n">c</span><span class="p">,</span> <span class="n">attr</span><span class="p">,</span> <span class="kc">None</span><span class="p">),</span> <span class="n">out</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">containers</span>
+            <span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">check</span> <span class="o">=</span> <span class="nb">all</span><span class="p">(</span><span class="nb">getattr</span><span class="p">(</span><span class="n">c</span><span class="p">,</span> <span class="n">attr</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span> <span class="o">==</span> <span class="n">out</span> <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">containers</span><span class="p">)</span>
+        <span class="k">assert</span> <span class="n">check</span><span class="p">,</span> <span class="n">msg</span>
+        <span class="k">return</span> <span class="n">out</span></div>
+</div>
+
+</pre></div>
+
+                </article>
+              
+
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+  <h1>Source code for sup3r.preprocessing.collections.stats</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Collection object with methods to compute and save stats.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">pprint</span>
+<span class="kn">from</span> <span class="nn">warnings</span> <span class="kn">import</span> <span class="n">warn</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">xarray</span> <span class="k">as</span> <span class="nn">xr</span>
+<span class="kn">from</span> <span class="nn">rex</span> <span class="kn">import</span> <span class="n">safe_json_load</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="n">log_args</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.utilities</span> <span class="kn">import</span> <span class="n">safe_serialize</span>
+
+<span class="kn">from</span> <span class="nn">.base</span> <span class="kn">import</span> <span class="n">Collection</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="StatsCollection">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.collections.stats.StatsCollection.html#sup3r.preprocessing.collections.stats.StatsCollection">[docs]</a>
+<span class="k">class</span> <span class="nc">StatsCollection</span><span class="p">(</span><span class="n">Collection</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Extended collection object with methods for computing means and stds and</span>
+<span class="sd">    saving these to files.</span>
+
+<span class="sd">    Note</span>
+<span class="sd">    ----</span>
+<span class="sd">    We write stats as float64 because float32 is not json serializable</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="nd">@log_args</span>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">containers</span><span class="p">,</span> <span class="n">means</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">stds</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        containers: List[Rasterizer]</span>
+<span class="sd">            List of containers to compute stats for.</span>
+<span class="sd">        means : str | dict | None</span>
+<span class="sd">            Usually a file path for saving results, or None for just</span>
+<span class="sd">            calculating stats and not saving. Can also be a dict, which will</span>
+<span class="sd">            just get returned as the &quot;result&quot;.</span>
+<span class="sd">        stds : str | dict | None</span>
+<span class="sd">            Usually a file path for saving results, or None for just</span>
+<span class="sd">            calculating stats and not saving. Can also be a dict, which will</span>
+<span class="sd">            just get returned as the &quot;result&quot;.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">containers</span><span class="o">=</span><span class="n">containers</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">means</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_means</span><span class="p">(</span><span class="n">means</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">stds</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_stds</span><span class="p">(</span><span class="n">stds</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">save_stats</span><span class="p">(</span><span class="n">stds</span><span class="o">=</span><span class="n">stds</span><span class="p">,</span> <span class="n">means</span><span class="o">=</span><span class="n">means</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">normalize</span><span class="p">(</span><span class="n">containers</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="nf">_get_stat</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">stat_type</span><span class="p">,</span> <span class="n">needed_features</span><span class="o">=</span><span class="s1">&#39;all&#39;</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get either mean or std for all features and all containers.&quot;&quot;&quot;</span>
+        <span class="n">all_feats</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">features</span> <span class="k">if</span> <span class="n">needed_features</span> <span class="o">==</span> <span class="s1">&#39;all&#39;</span> <span class="k">else</span> <span class="n">needed_features</span>
+        <span class="p">)</span>
+        <span class="n">hr_feats</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">containers</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">high_res</span><span class="o">.</span><span class="n">features</span><span class="p">)</span><span class="o">.</span><span class="n">intersection</span><span class="p">(</span>
+            <span class="n">all_feats</span>
+        <span class="p">)</span>
+        <span class="n">lr_feats</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="n">all_feats</span><span class="p">)</span> <span class="o">-</span> <span class="nb">set</span><span class="p">(</span><span class="n">hr_feats</span><span class="p">)</span>
+
+        <span class="n">cstats</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="nb">getattr</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">high_res</span><span class="p">[</span><span class="n">hr_feats</span><span class="p">],</span> <span class="n">stat_type</span><span class="p">)(</span><span class="n">skipna</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+            <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">containers</span>
+        <span class="p">]</span>
+        <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">lr_feats</span><span class="p">):</span>
+            <span class="n">cstats_lr</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="nb">getattr</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">low_res</span><span class="p">[</span><span class="n">lr_feats</span><span class="p">],</span> <span class="n">stat_type</span><span class="p">)(</span><span class="n">skipna</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">containers</span>
+            <span class="p">]</span>
+            <span class="n">cstats</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="n">xr</span><span class="o">.</span><span class="n">merge</span><span class="p">([</span><span class="n">c</span><span class="o">.</span><span class="n">_ds</span><span class="p">,</span> <span class="n">c_lr</span><span class="o">.</span><span class="n">_ds</span><span class="p">])</span>
+                <span class="k">for</span> <span class="n">c</span><span class="p">,</span> <span class="n">c_lr</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">cstats</span><span class="p">,</span> <span class="n">cstats_lr</span><span class="p">)</span>
+            <span class="p">]</span>
+        <span class="k">return</span> <span class="n">cstats</span>
+
+    <span class="k">def</span> <span class="nf">_init_stats_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">stats</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize dictionary for stds or means from given input. Check if</span>
+<span class="sd">        any existing stats are provided.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">stats</span><span class="p">,</span> <span class="nb">str</span><span class="p">)</span> <span class="ow">and</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">stats</span><span class="p">):</span>
+            <span class="n">stats</span> <span class="o">=</span> <span class="n">safe_json_load</span><span class="p">(</span><span class="n">stats</span><span class="p">)</span>
+        <span class="k">elif</span> <span class="n">stats</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">or</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">stats</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+            <span class="n">stats</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;Received incompatible type </span><span class="si">{</span><span class="nb">type</span><span class="p">(</span><span class="n">stats</span><span class="p">)</span><span class="si">}</span><span class="s1">. Need a file &#39;</span>
+                <span class="s1">&#39;path or dictionary&#39;</span>
+            <span class="p">)</span>
+            <span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">stats</span><span class="p">,</span> <span class="nb">dict</span><span class="p">),</span> <span class="n">msg</span>
+        <span class="k">if</span> <span class="p">(</span>
+            <span class="nb">isinstance</span><span class="p">(</span><span class="n">stats</span><span class="p">,</span> <span class="nb">dict</span><span class="p">)</span>
+            <span class="ow">and</span> <span class="n">stats</span> <span class="o">!=</span> <span class="p">{}</span>
+            <span class="ow">and</span> <span class="nb">any</span><span class="p">(</span><span class="n">f</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">stats</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">)</span>
+        <span class="p">):</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;Not all features (</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="si">}</span><span class="s1">) are found in the given &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;stats dictionary </span><span class="si">{</span><span class="n">stats</span><span class="si">}</span><span class="s1">. This is obviously from a prior &#39;</span>
+                <span class="s1">&#39;run so you better be sure these stats carry over.&#39;</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">stats</span>
+
+<div class="viewcode-block" id="StatsCollection.get_means">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.collections.stats.StatsCollection.html#sup3r.preprocessing.collections.stats.StatsCollection.get_means">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_means</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">means</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Dictionary of means for each feature, computed across all data</span>
+<span class="sd">        handlers.&quot;&quot;&quot;</span>
+        <span class="n">means</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_init_stats_dict</span><span class="p">(</span><span class="n">means</span><span class="p">)</span>
+        <span class="n">needed_features</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">)</span> <span class="o">-</span> <span class="nb">set</span><span class="p">(</span><span class="n">means</span><span class="p">)</span>
+        <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">needed_features</span><span class="p">):</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Getting means for </span><span class="si">{</span><span class="n">needed_features</span><span class="si">}</span><span class="s1">.&#39;</span><span class="p">)</span>
+            <span class="n">cmeans</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="n">cm</span> <span class="o">*</span> <span class="n">w</span>
+                <span class="k">for</span> <span class="n">cm</span><span class="p">,</span> <span class="n">w</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">_get_stat</span><span class="p">(</span><span class="s1">&#39;mean&#39;</span><span class="p">,</span> <span class="n">needed_features</span><span class="p">),</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">container_weights</span><span class="p">,</span>
+                <span class="p">)</span>
+            <span class="p">]</span>
+            <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">needed_features</span><span class="p">:</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Computing mean for </span><span class="si">{</span><span class="n">f</span><span class="si">}</span><span class="s1">.&#39;</span><span class="p">)</span>
+                <span class="n">means</span><span class="p">[</span><span class="n">f</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">([</span><span class="n">cm</span><span class="p">[</span><span class="n">f</span><span class="p">]</span> <span class="k">for</span> <span class="n">cm</span> <span class="ow">in</span> <span class="n">cmeans</span><span class="p">]))</span>
+        <span class="k">return</span> <span class="n">means</span></div>
+
+
+<div class="viewcode-block" id="StatsCollection.get_stds">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.collections.stats.StatsCollection.html#sup3r.preprocessing.collections.stats.StatsCollection.get_stds">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_stds</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">stds</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Dictionary of standard deviations for each feature, computed across</span>
+<span class="sd">        all data handlers.&quot;&quot;&quot;</span>
+        <span class="n">stds</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_init_stats_dict</span><span class="p">(</span><span class="n">stds</span><span class="p">)</span>
+        <span class="n">needed_features</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">)</span> <span class="o">-</span> <span class="nb">set</span><span class="p">(</span><span class="n">stds</span><span class="p">)</span>
+        <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">needed_features</span><span class="p">):</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Getting stds for </span><span class="si">{</span><span class="n">needed_features</span><span class="si">}</span><span class="s1">.&#39;</span><span class="p">)</span>
+            <span class="n">cstds</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="n">w</span> <span class="o">*</span> <span class="n">cm</span><span class="o">**</span><span class="mi">2</span>
+                <span class="k">for</span> <span class="n">cm</span><span class="p">,</span> <span class="n">w</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_get_stat</span><span class="p">(</span><span class="s1">&#39;std&#39;</span><span class="p">),</span> <span class="bp">self</span><span class="o">.</span><span class="n">container_weights</span><span class="p">)</span>
+            <span class="p">]</span>
+            <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">needed_features</span><span class="p">:</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Computing std for </span><span class="si">{</span><span class="n">f</span><span class="si">}</span><span class="s1">.&#39;</span><span class="p">)</span>
+                <span class="n">stds</span><span class="p">[</span><span class="n">f</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">([</span><span class="n">cs</span><span class="p">[</span><span class="n">f</span><span class="p">]</span> <span class="k">for</span> <span class="n">cs</span> <span class="ow">in</span> <span class="n">cstds</span><span class="p">])))</span>
+        <span class="k">return</span> <span class="n">stds</span></div>
+
+
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">_added_stats</span><span class="p">(</span><span class="n">fp</span><span class="p">,</span> <span class="n">stat_dict</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if stats were added to the given file or not.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="nb">any</span><span class="p">(</span><span class="n">f</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">safe_json_load</span><span class="p">(</span><span class="n">fp</span><span class="p">)</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">stat_dict</span><span class="p">)</span>
+
+<div class="viewcode-block" id="StatsCollection.save_stats">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.collections.stats.StatsCollection.html#sup3r.preprocessing.collections.stats.StatsCollection.save_stats">[docs]</a>
+    <span class="k">def</span> <span class="nf">save_stats</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">stds</span><span class="p">,</span> <span class="n">means</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Save stats to json files.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">stds</span><span class="p">,</span> <span class="nb">str</span><span class="p">)</span> <span class="ow">and</span> <span class="p">(</span>
+            <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">stds</span><span class="p">)</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_added_stats</span><span class="p">(</span><span class="n">stds</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">stds</span><span class="p">)</span>
+        <span class="p">):</span>
+            <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">stds</span><span class="p">,</span> <span class="s1">&#39;w&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">safe_serialize</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">stds</span><span class="p">))</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="sa">f</span><span class="s1">&#39;Saved standard deviations </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">stds</span><span class="si">}</span><span class="s1"> to </span><span class="si">{</span><span class="n">stds</span><span class="si">}</span><span class="s1">.&#39;</span>
+                <span class="p">)</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">means</span><span class="p">,</span> <span class="nb">str</span><span class="p">)</span> <span class="ow">and</span> <span class="p">(</span>
+            <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">means</span><span class="p">)</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_added_stats</span><span class="p">(</span><span class="n">means</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">means</span><span class="p">)</span>
+        <span class="p">):</span>
+            <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">means</span><span class="p">,</span> <span class="s1">&#39;w&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">safe_serialize</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">means</span><span class="p">))</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Saved means </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">means</span><span class="si">}</span><span class="s1"> to </span><span class="si">{</span><span class="n">means</span><span class="si">}</span><span class="s1">.&#39;</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="StatsCollection.normalize">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.collections.stats.StatsCollection.html#sup3r.preprocessing.collections.stats.StatsCollection.normalize">[docs]</a>
+    <span class="k">def</span> <span class="nf">normalize</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">containers</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Normalize container data with computed stats.&quot;&quot;&quot;</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+            <span class="s1">&#39;Normalizing containers with:</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;means: </span><span class="si">{</span><span class="n">pprint</span><span class="o">.</span><span class="n">pformat</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">means</span><span class="p">,</span><span class="w"> </span><span class="n">indent</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span><span class="si">}</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;stds: </span><span class="si">{</span><span class="n">pprint</span><span class="o">.</span><span class="n">pformat</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">stds</span><span class="p">,</span><span class="w"> </span><span class="n">indent</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+        <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">c</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">containers</span><span class="p">):</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Normalizing container </span><span class="si">{</span><span class="n">i</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="mi">1</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+            <span class="n">c</span><span class="o">.</span><span class="n">normalize</span><span class="p">(</span><span class="n">means</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">means</span><span class="p">,</span> <span class="n">stds</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">stds</span><span class="p">)</span></div>
+</div>
+
+</pre></div>
+
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+  <h1>Source code for sup3r.preprocessing.data_handlers.exo</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Exogenous data handler and related objects. The ExoDataHandler performs</span>
+<span class="sd">exogenous data rasterization for one or more model steps for requested</span>
+<span class="sd">features.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">pathlib</span>
+<span class="kn">from</span> <span class="nn">dataclasses</span> <span class="kn">import</span> <span class="n">dataclass</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">TYPE_CHECKING</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Union</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.rasterizers</span> <span class="kn">import</span> <span class="n">ExoRasterizer</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="n">_lowered</span><span class="p">,</span> <span class="n">log_args</span>
+
+<span class="k">if</span> <span class="n">TYPE_CHECKING</span><span class="p">:</span>
+    <span class="kn">from</span> <span class="nn">sup3r.models</span> <span class="kn">import</span> <span class="n">MultiStepGan</span><span class="p">,</span> <span class="n">Sup3rGan</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="SingleExoDataStep">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.html#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep">[docs]</a>
+<span class="k">class</span> <span class="nc">SingleExoDataStep</span><span class="p">(</span><span class="nb">dict</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Special dictionary class for exogenous_data step&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">feature</span><span class="p">,</span> <span class="n">combine_type</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;exogenous_data step dictionary for a given model step</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        feature : str</span>
+<span class="sd">            Name of feature corresponding to ``data``.</span>
+<span class="sd">        combine_type : str</span>
+<span class="sd">            Specifies how the exogenous_data should be used for this step. e.g.</span>
+<span class="sd">            &quot;input&quot;, &quot;layer&quot;, &quot;output&quot;. For example, if tis equals &quot;input&quot; the</span>
+<span class="sd">            ``data`` will be used as input to the forward pass for the model</span>
+<span class="sd">            step given by ``model``</span>
+<span class="sd">        model : int</span>
+<span class="sd">            Specifies the model index which will use the ``data``. For example,</span>
+<span class="sd">            if ``model`` == 1 then the ``data`` will be used according to</span>
+<span class="sd">            ``combine_type`` in the 2nd model step in a MultiStepGan.</span>
+<span class="sd">        data : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            The data to be used for the given model step.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">step</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;model&#39;</span><span class="p">:</span> <span class="n">model</span><span class="p">,</span> <span class="s1">&#39;combine_type&#39;</span><span class="p">:</span> <span class="n">combine_type</span><span class="p">,</span> <span class="s1">&#39;data&#39;</span><span class="p">:</span> <span class="n">data</span><span class="p">}</span>
+        <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">step</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+            <span class="bp">self</span><span class="o">.</span><span class="fm">__setitem__</span><span class="p">(</span><span class="n">k</span><span class="p">,</span> <span class="n">v</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">feature</span> <span class="o">=</span> <span class="n">feature</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">shape</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Shape of data array for this model step.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="p">[</span><span class="s1">&#39;data&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span></div>
+
+
+
+<div class="viewcode-block" id="ExoData">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.data_handlers.exo.ExoData.html#sup3r.preprocessing.data_handlers.exo.ExoData">[docs]</a>
+<span class="k">class</span> <span class="nc">ExoData</span><span class="p">(</span><span class="nb">dict</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Special dictionary class for multiple exogenous_data steps</span>
+
+<span class="sd">    TODO: Can we simplify this by relying more on xr.Dataset meta data instead</span>
+<span class="sd">    of storing enhancement factors for each step? Seems like we could take the</span>
+<span class="sd">    highest res data and coarsen based on s/t enhance, also.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">steps</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Combine multiple SingleExoDataStep objects</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+
+<span class="sd">        steps : dict</span>
+<span class="sd">            Dictionary with feature keys each with entries describing whether</span>
+<span class="sd">            features should be combined at input, a mid network layer, or with</span>
+<span class="sd">            output. e.g.::</span>
+
+<span class="sd">            \b</span>
+<span class="sd">            {</span>
+<span class="sd">                &#39;topography&#39;: {</span>
+<span class="sd">                    &#39;steps&#39;: [</span>
+<span class="sd">                        {&#39;combine_type&#39;: &#39;input&#39;, &#39;model&#39;: 0, &#39;data&#39;: ...},</span>
+<span class="sd">                        {&#39;combine_type&#39;: &#39;layer&#39;, &#39;model&#39;: 0, &#39;data&#39;: ...}]</span>
+<span class="sd">                    }</span>
+<span class="sd">            }</span>
+
+<span class="sd">            Each array in in &#39;data&#39; key has 3D or 4D shape:</span>
+<span class="sd">            (spatial_1, spatial_2, 1)</span>
+<span class="sd">            (spatial_1, spatial_2, n_temporal, 1)</span>
+<span class="sd">        &quot;&quot;&quot;</span>  <span class="c1"># noqa : D301</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">steps</span><span class="p">,</span> <span class="nb">dict</span><span class="p">):</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">steps</span><span class="p">)</span>
+
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;ExoData must be initialized with a dictionary of features.&#39;</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+<div class="viewcode-block" id="ExoData.get_model_step_exo">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.data_handlers.exo.ExoData.html#sup3r.preprocessing.data_handlers.exo.ExoData.get_model_step_exo">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_model_step_exo</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model_step</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the exogenous data for the given model_step from the full list</span>
+<span class="sd">        of steps</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        model_step : int</span>
+<span class="sd">            Index of the model to get exogenous data for.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        model_step_exo : dict</span>
+<span class="sd">            Dictionary of features each with list of steps which match the</span>
+<span class="sd">            given model_step</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">model_step_exo</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="k">for</span> <span class="n">feature</span><span class="p">,</span> <span class="n">entry</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+            <span class="n">steps</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="n">step</span> <span class="k">for</span> <span class="n">step</span> <span class="ow">in</span> <span class="n">entry</span><span class="p">[</span><span class="s1">&#39;steps&#39;</span><span class="p">]</span> <span class="k">if</span> <span class="n">step</span><span class="p">[</span><span class="s1">&#39;model&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="n">model_step</span>
+            <span class="p">]</span>
+            <span class="k">if</span> <span class="n">steps</span><span class="p">:</span>
+                <span class="n">model_step_exo</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;steps&#39;</span><span class="p">:</span> <span class="n">steps</span><span class="p">}</span>
+        <span class="k">return</span> <span class="n">ExoData</span><span class="p">(</span><span class="n">model_step_exo</span><span class="p">)</span></div>
+
+
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">_get_bounded_steps</span><span class="p">(</span><span class="n">steps</span><span class="p">,</span> <span class="n">min_step</span><span class="p">,</span> <span class="n">max_step</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the steps within `steps` which have a model index between min</span>
+<span class="sd">        and max step.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">max_step</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">return</span> <span class="p">[</span>
+                <span class="n">s</span>
+                <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">steps</span>
+                <span class="k">if</span> <span class="p">(</span><span class="n">s</span><span class="p">[</span><span class="s1">&#39;model&#39;</span><span class="p">]</span> <span class="o">&lt;</span> <span class="n">max_step</span> <span class="ow">and</span> <span class="n">min_step</span> <span class="o">&lt;=</span> <span class="n">s</span><span class="p">[</span><span class="s1">&#39;model&#39;</span><span class="p">])</span>
+            <span class="p">]</span>
+        <span class="k">return</span> <span class="p">[</span><span class="n">s</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">steps</span> <span class="k">if</span> <span class="n">min_step</span> <span class="o">&lt;=</span> <span class="n">s</span><span class="p">[</span><span class="s1">&#39;model&#39;</span><span class="p">]]</span>
+
+<div class="viewcode-block" id="ExoData.split">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.data_handlers.exo.ExoData.html#sup3r.preprocessing.data_handlers.exo.ExoData.split">[docs]</a>
+    <span class="k">def</span> <span class="nf">split</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">split_steps</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Split ``self`` into multiple ``ExoData`` objects based on</span>
+<span class="sd">        ``split_steps``. The splits are done such that the steps in the ith</span>
+<span class="sd">        entry of the returned list all have a</span>
+<span class="sd">        ``model number &lt; split_steps[i].``</span>
+
+<span class="sd">        Note</span>
+<span class="sd">        ----</span>
+<span class="sd">        This is used for multi-step models to correctly distribute the set of</span>
+<span class="sd">        all exo data steps to the appropriate models. For example,</span>
+<span class="sd">        :class:`~sup3r.models.MultiStepGan` models with some</span>
+<span class="sd">        temporal (spatial) steps followed by some spatial (temporal) steps. The</span>
+<span class="sd">        temporal (spatial) models might take the first N exo data steps and</span>
+<span class="sd">        then the spatial (temporal) models will take the remaining exo data</span>
+<span class="sd">        steps.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        split_steps : list</span>
+<span class="sd">            Step index list to use for splitting. To split this into exo data</span>
+<span class="sd">            for spatial models and temporal models split_steps should be</span>
+<span class="sd">            ``[len(spatial_models)]``. If this is for a</span>
+<span class="sd">            :class:`~sup3r.models.MultiStepGan` model with temporal steps</span>
+<span class="sd">            first, ``split_steps`` should be ``[len(temporal_models)]``. If</span>
+<span class="sd">            this is for a multi step model composed of more than two models</span>
+<span class="sd">            (e.g. :class:`~sup3r.models.SolarMultiStepGan`) ``split_steps``</span>
+<span class="sd">            should be ``[len(spatial_solar_models), len(spatial_solar_models) +</span>
+<span class="sd">            len(spatial_wind_models)]``</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        split_list : List[ExoData]</span>
+<span class="sd">            List of ``ExoData`` objects coming from the split of ``self``,</span>
+<span class="sd">            according to ``split_steps``</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">split_dict</span> <span class="o">=</span> <span class="p">{</span><span class="n">i</span><span class="p">:</span> <span class="p">{}</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">split_steps</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)}</span>
+        <span class="n">split_steps</span> <span class="o">=</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="o">*</span><span class="n">split_steps</span><span class="p">]</span> <span class="k">if</span> <span class="n">split_steps</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">!=</span> <span class="mi">0</span> <span class="k">else</span> <span class="n">split_steps</span>
+        <span class="k">for</span> <span class="n">feature</span><span class="p">,</span> <span class="n">entry</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+            <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">min_step</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">split_steps</span><span class="p">):</span>
+                <span class="n">max_step</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="kc">None</span> <span class="k">if</span> <span class="n">min_step</span> <span class="o">==</span> <span class="n">split_steps</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="k">else</span> <span class="n">split_steps</span><span class="p">[</span><span class="n">i</span> <span class="o">+</span> <span class="mi">1</span><span class="p">]</span>
+                <span class="p">)</span>
+                <span class="n">steps_i</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_bounded_steps</span><span class="p">(</span>
+                    <span class="n">steps</span><span class="o">=</span><span class="n">entry</span><span class="p">[</span><span class="s1">&#39;steps&#39;</span><span class="p">],</span> <span class="n">min_step</span><span class="o">=</span><span class="n">min_step</span><span class="p">,</span> <span class="n">max_step</span><span class="o">=</span><span class="n">max_step</span>
+                <span class="p">)</span>
+                <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">steps_i</span><span class="p">:</span>
+                    <span class="n">s</span><span class="o">.</span><span class="n">update</span><span class="p">({</span><span class="s1">&#39;model&#39;</span><span class="p">:</span> <span class="n">s</span><span class="p">[</span><span class="s1">&#39;model&#39;</span><span class="p">]</span> <span class="o">-</span> <span class="n">min_step</span><span class="p">})</span>
+                <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">steps_i</span><span class="p">):</span>
+                    <span class="n">split_dict</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="n">feature</span><span class="p">]</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;steps&#39;</span><span class="p">:</span> <span class="n">steps_i</span><span class="p">}</span>
+        <span class="k">return</span> <span class="p">[</span><span class="n">ExoData</span><span class="p">(</span><span class="n">split</span><span class="p">)</span> <span class="k">for</span> <span class="n">split</span> <span class="ow">in</span> <span class="n">split_dict</span><span class="o">.</span><span class="n">values</span><span class="p">()]</span></div>
+
+
+<div class="viewcode-block" id="ExoData.get_combine_type_data">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.data_handlers.exo.ExoData.html#sup3r.preprocessing.data_handlers.exo.ExoData.get_combine_type_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_combine_type_data</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">feature</span><span class="p">,</span> <span class="n">combine_type</span><span class="p">,</span> <span class="n">model_step</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get exogenous data for given feature which is used according to the</span>
+<span class="sd">        given combine_type (input/output/layer) for this model_step.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        feature : str</span>
+<span class="sd">            Name of exogenous feature to get data for</span>
+<span class="sd">        combine_type : str</span>
+<span class="sd">            Usage type for requested data. e.g input/output/layer</span>
+<span class="sd">        model_step : int | None</span>
+<span class="sd">            Model step the data will be used for. If this is not None then</span>
+<span class="sd">            only steps with self[feature][&#39;steps&#39;][:][&#39;model&#39;] == model_step</span>
+<span class="sd">            will be searched for data.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        data : tf.Tensor | np.ndarray</span>
+<span class="sd">            Exogenous data for given parameters</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">tmp</span> <span class="o">=</span> <span class="bp">self</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span>
+        <span class="k">if</span> <span class="n">model_step</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">tmp</span> <span class="o">=</span> <span class="p">{</span><span class="n">k</span><span class="p">:</span> <span class="n">v</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">tmp</span><span class="o">.</span><span class="n">items</span><span class="p">()</span> <span class="k">if</span> <span class="n">v</span><span class="p">[</span><span class="s1">&#39;model&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="n">model_step</span><span class="p">}</span>
+        <span class="n">combine_types</span> <span class="o">=</span> <span class="p">[</span><span class="n">step</span><span class="p">[</span><span class="s1">&#39;combine_type&#39;</span><span class="p">]</span> <span class="k">for</span> <span class="n">step</span> <span class="ow">in</span> <span class="n">tmp</span><span class="p">[</span><span class="s1">&#39;steps&#39;</span><span class="p">]]</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Received exogenous_data without any combine_type &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;= &quot;</span><span class="si">{</span><span class="n">combine_type</span><span class="si">}</span><span class="s1">&quot; steps&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="n">combine_type</span> <span class="ow">in</span> <span class="n">combine_types</span><span class="p">,</span> <span class="n">msg</span>
+        <span class="k">return</span> <span class="n">tmp</span><span class="p">[</span><span class="s1">&#39;steps&#39;</span><span class="p">][</span><span class="n">combine_types</span><span class="o">.</span><span class="n">index</span><span class="p">(</span><span class="n">combine_type</span><span class="p">)][</span><span class="s1">&#39;data&#39;</span><span class="p">]</span></div>
+
+
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">_get_enhanced_slices</span><span class="p">(</span><span class="n">lr_slices</span><span class="p">,</span> <span class="n">step</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get lr_slices enhanced by the ratio of exo_data_shape to</span>
+<span class="sd">        input_data_shape. Used to slice exo data for each model step.&quot;&quot;&quot;</span>
+        <span class="n">exo_slices</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">for</span> <span class="n">enhance</span><span class="p">,</span> <span class="n">lr_slice</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span>
+            <span class="p">[</span><span class="n">step</span><span class="p">[</span><span class="s1">&#39;s_enhance&#39;</span><span class="p">],</span> <span class="n">step</span><span class="p">[</span><span class="s1">&#39;s_enhance&#39;</span><span class="p">],</span> <span class="n">step</span><span class="p">[</span><span class="s1">&#39;t_enhance&#39;</span><span class="p">]],</span>
+            <span class="n">lr_slices</span><span class="p">,</span>
+        <span class="p">):</span>
+            <span class="n">exo_slc</span> <span class="o">=</span> <span class="nb">slice</span><span class="p">(</span><span class="n">lr_slice</span><span class="o">.</span><span class="n">start</span> <span class="o">*</span> <span class="n">enhance</span><span class="p">,</span> <span class="n">lr_slice</span><span class="o">.</span><span class="n">stop</span> <span class="o">*</span> <span class="n">enhance</span><span class="p">)</span>
+            <span class="n">exo_slices</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">exo_slc</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">exo_slices</span>
+
+<div class="viewcode-block" id="ExoData.get_chunk">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.data_handlers.exo.ExoData.html#sup3r.preprocessing.data_handlers.exo.ExoData.get_chunk">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_chunk</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">lr_slices</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the data for all model steps corresponding to the low res extent</span>
+<span class="sd">        selected by `lr_slices`</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        lr_slices : list List of spatiotemporal slices which specify extent of</span>
+<span class="sd">        the low-resolution input data.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        exo_data : ExoData</span>
+<span class="sd">           :class:`ExoData` object composed of multiple</span>
+<span class="sd">           :class:`SingleExoDataStep` objects. This is the sliced exo data for</span>
+<span class="sd">           the extent specified by `lr_slices`.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Getting exo data chunk for lr_slices=</span><span class="si">{</span><span class="n">lr_slices</span><span class="si">}</span><span class="s1">.&#39;</span><span class="p">)</span>
+        <span class="n">exo_chunk</span> <span class="o">=</span> <span class="p">{</span><span class="n">f</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;steps&#39;</span><span class="p">:</span> <span class="p">[]}</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="bp">self</span><span class="p">}</span>
+        <span class="k">for</span> <span class="n">feature</span> <span class="ow">in</span> <span class="bp">self</span><span class="p">:</span>
+            <span class="k">for</span> <span class="n">step</span> <span class="ow">in</span> <span class="bp">self</span><span class="p">[</span><span class="n">feature</span><span class="p">][</span><span class="s1">&#39;steps&#39;</span><span class="p">]:</span>
+                <span class="n">exo_slices</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_enhanced_slices</span><span class="p">(</span>
+                    <span class="n">lr_slices</span><span class="o">=</span><span class="n">lr_slices</span><span class="p">,</span> <span class="n">step</span><span class="o">=</span><span class="n">step</span>
+                <span class="p">)</span>
+                <span class="n">chunk_step</span> <span class="o">=</span> <span class="p">{}</span>
+                <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">step</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+                    <span class="k">if</span> <span class="n">k</span> <span class="o">==</span> <span class="s1">&#39;data&#39;</span><span class="p">:</span>
+                        <span class="c1"># last dimension is feature channel, so we use only the</span>
+                        <span class="c1"># spatial slices if data is 2d and all slices otherwise</span>
+                        <span class="n">chunk_step</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="n">v</span><span class="p">[</span>
+                            <span class="nb">tuple</span><span class="p">(</span><span class="n">exo_slices</span><span class="p">)[:</span> <span class="nb">len</span><span class="p">(</span><span class="n">v</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span><span class="p">]</span>
+                        <span class="p">]</span>
+                    <span class="k">else</span><span class="p">:</span>
+                        <span class="n">chunk_step</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="n">v</span>
+                <span class="n">exo_chunk</span><span class="p">[</span><span class="n">feature</span><span class="p">][</span><span class="s1">&#39;steps&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">chunk_step</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">exo_chunk</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="ExoDataHandler">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.data_handlers.exo.ExoDataHandler.html#sup3r.preprocessing.data_handlers.exo.ExoDataHandler">[docs]</a>
+<span class="nd">@dataclass</span>
+<span class="k">class</span> <span class="nc">ExoDataHandler</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Class to rasterize exogenous features for multistep forward passes. e.g.</span>
+<span class="sd">    Multiple topography arrays at different resolutions for multiple spatial</span>
+<span class="sd">    enhancement steps.</span>
+
+<span class="sd">    This takes a list of models and uses the different sets of models features</span>
+<span class="sd">    to retrieve and rasterize exogenous data according to the requested target</span>
+<span class="sd">    coordinate and grid shape, for each model step.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    file_paths : str | list</span>
+<span class="sd">        A single source h5 file or netcdf file to extract raster data from. The</span>
+<span class="sd">        string can be a unix-style file path which will be passed through</span>
+<span class="sd">        glob.glob. This is typically low-res WRF output or GCM netcdf data that</span>
+<span class="sd">        is source low-resolution data intended to be sup3r resolved.</span>
+<span class="sd">    feature : str</span>
+<span class="sd">        Exogenous feature to extract from file_paths</span>
+<span class="sd">    model : Sup3rGan | MultiStepGan</span>
+<span class="sd">        Model used to get exogenous data. If a ``MultiStepGan``</span>
+<span class="sd">        ``lr_features``, ``hr_exo_features``, and ``hr_out_features`` will be</span>
+<span class="sd">        checked for each model in ``model.models`` and exogenous data will be</span>
+<span class="sd">        retrieved based on the resolution required for that type of feature.</span>
+<span class="sd">        e.g. If a model has topography as a lr and hr_exo feature, and the</span>
+<span class="sd">        model performs 5x spatial enhancement with an input resolution of 30km</span>
+<span class="sd">        then topography at 30km and at 6km will be retrieved. Either this or</span>
+<span class="sd">        list of steps needs to be provided.</span>
+<span class="sd">    steps : list</span>
+<span class="sd">        List of dictionaries containing info on which models to use for a given</span>
+<span class="sd">        step index and what type of exo data the step requires. e.g.::</span>
+<span class="sd">        [{&#39;model&#39;: 0, &#39;combine_type&#39;: &#39;input&#39;},</span>
+<span class="sd">         {&#39;model&#39;: 0, &#39;combine_type&#39;: &#39;layer&#39;}]</span>
+<span class="sd">        Each step entry can also contain enhancement factors. e.g.::</span>
+<span class="sd">        [{&#39;model&#39;: 0, &#39;combine_type&#39;: &#39;input&#39;, &#39;s_enhance&#39;: 1, &#39;t_enhance&#39;: 1},</span>
+<span class="sd">         {&#39;model&#39;: 0, &#39;combine_type&#39;: &#39;layer&#39;, &#39;s_enhance&#39;: 3, &#39;t_enhance&#39;: 1}]</span>
+<span class="sd">    source_file : str</span>
+<span class="sd">        Filepath to source wtk, nsrdb, or netcdf file to get hi-res data from</span>
+<span class="sd">        which will be mapped to the enhanced grid of the file_paths input.</span>
+<span class="sd">        Pixels from this file will be mapped to their nearest low-res pixel in</span>
+<span class="sd">        the file_paths input. Accordingly, the input should be a significantly</span>
+<span class="sd">        higher resolution than file_paths. Warnings will be raised if the</span>
+<span class="sd">        low-resolution pixels in file_paths do not have unique nearest pixels</span>
+<span class="sd">        from this exo source data.</span>
+<span class="sd">    input_handler_name : str</span>
+<span class="sd">        data handler class used by the exo handler. Provide a string name to</span>
+<span class="sd">        match a :class:`~sup3r.preprocessing.rasterizers.Rasterizer`. If None</span>
+<span class="sd">        the correct handler will be guessed based on file type and time series</span>
+<span class="sd">        properties. This is passed directly to the exo handler, along with</span>
+<span class="sd">        input_handler_kwargs</span>
+<span class="sd">    input_handler_kwargs : dict | None</span>
+<span class="sd">        Any kwargs for initializing the ``input_handler_name`` class used by</span>
+<span class="sd">        the exo handler.</span>
+<span class="sd">    cache_dir : str | None</span>
+<span class="sd">        Directory for storing cache data. Default is &#39;./exo_cache&#39;. If None</span>
+<span class="sd">        then no data will be cached.</span>
+<span class="sd">    chunks : str | dict</span>
+<span class="sd">        Dictionary of dimension chunk sizes for returned exo data. e.g.</span>
+<span class="sd">        {&#39;time&#39;: 100, &#39;south_north&#39;: 100, &#39;west_east&#39;: 100}. This can also just</span>
+<span class="sd">        be &quot;auto&quot;. This is passed to ``.chunk()`` before returning exo data</span>
+<span class="sd">        through ``.data`` attribute</span>
+<span class="sd">    distance_upper_bound : float | None</span>
+<span class="sd">        Maximum distance to map high-resolution data from source_file to the</span>
+<span class="sd">        low-resolution file_paths input. None (default) will calculate this</span>
+<span class="sd">        based on the median distance between points in source_file</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">file_paths</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">list</span><span class="p">,</span> <span class="n">pathlib</span><span class="o">.</span><span class="n">Path</span><span class="p">]</span>
+    <span class="n">feature</span><span class="p">:</span> <span class="nb">str</span>
+    <span class="n">model</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="s1">&#39;Sup3rGan&#39;</span><span class="p">,</span> <span class="s1">&#39;MultiStepGan&#39;</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">steps</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">list</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">source_file</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">input_handler_name</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">input_handler_kwargs</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">cache_dir</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;./exo_cache&#39;</span>
+    <span class="n">chunks</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">dict</span><span class="p">]]</span> <span class="o">=</span> <span class="s1">&#39;auto&#39;</span>
+    <span class="n">distance_upper_bound</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+
+    <span class="nd">@log_args</span>
+    <span class="k">def</span> <span class="nf">__post_init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get list of steps with types of exogenous data needed for retrieval,</span>
+<span class="sd">        initialize `self.data`, and update `self.data` for each model step with</span>
+<span class="sd">        rasterized exo data.&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">models</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">,</span> <span class="s1">&#39;models&#39;</span><span class="p">,</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">])</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">steps</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">steps</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_exo_steps</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">feature</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">models</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">en_check</span> <span class="o">=</span> <span class="nb">all</span><span class="p">(</span><span class="s1">&#39;s_enhance&#39;</span> <span class="ow">in</span> <span class="n">v</span> <span class="k">for</span> <span class="n">v</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">steps</span><span class="p">)</span>
+            <span class="n">en_check</span> <span class="o">=</span> <span class="n">en_check</span> <span class="ow">and</span> <span class="nb">all</span><span class="p">(</span><span class="s1">&#39;t_enhance&#39;</span> <span class="ow">in</span> <span class="n">v</span> <span class="k">for</span> <span class="n">v</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">steps</span><span class="p">)</span>
+            <span class="n">en_check</span> <span class="o">=</span> <span class="n">en_check</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">models</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s1"> needs s_enhance and t_enhance &#39;</span>
+                <span class="s1">&#39;provided in each step in steps list or models&#39;</span>
+            <span class="p">)</span>
+            <span class="k">assert</span> <span class="n">en_check</span><span class="p">,</span> <span class="n">msg</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">s_enhancements</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhancements</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_all_enhancement</span><span class="p">()</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Need to provide s_enhance and t_enhance for each model&#39;</span>
+            <span class="s1">&#39;step. If the step is temporal only (spatial only) then &#39;</span>
+            <span class="s1">&#39;s_enhance = 1 (t_enhance = 1).&#39;</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_all_step_data</span><span class="p">()</span>
+
+<div class="viewcode-block" id="ExoDataHandler.get_exo_steps">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.data_handlers.exo.ExoDataHandler.html#sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_exo_steps">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">get_exo_steps</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">feature</span><span class="p">,</span> <span class="n">models</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get list of steps describing how to use exogenous data for the given</span>
+<span class="sd">        feature in the list of given models. This checks the input and</span>
+<span class="sd">        exo feature lists for each model step and adds that step if the</span>
+<span class="sd">        given feature is found in the list.&quot;&quot;&quot;</span>
+        <span class="n">steps</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">model</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">models</span><span class="p">):</span>
+            <span class="n">is_sfc_model</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span> <span class="o">==</span> <span class="s1">&#39;SurfaceSpatialMetModel&#39;</span>
+            <span class="k">if</span> <span class="n">feature</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">in</span> <span class="n">_lowered</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">lr_features</span><span class="p">)</span> <span class="ow">or</span> <span class="n">is_sfc_model</span><span class="p">:</span>
+                <span class="n">steps</span><span class="o">.</span><span class="n">append</span><span class="p">({</span><span class="s1">&#39;model&#39;</span><span class="p">:</span> <span class="n">i</span><span class="p">,</span> <span class="s1">&#39;combine_type&#39;</span><span class="p">:</span> <span class="s1">&#39;input&#39;</span><span class="p">})</span>
+            <span class="k">if</span> <span class="n">feature</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">in</span> <span class="n">_lowered</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">hr_exo_features</span><span class="p">):</span>
+                <span class="n">steps</span><span class="o">.</span><span class="n">append</span><span class="p">({</span><span class="s1">&#39;model&#39;</span><span class="p">:</span> <span class="n">i</span><span class="p">,</span> <span class="s1">&#39;combine_type&#39;</span><span class="p">:</span> <span class="s1">&#39;layer&#39;</span><span class="p">})</span>
+            <span class="k">if</span> <span class="p">(</span>
+                <span class="n">feature</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">in</span> <span class="n">_lowered</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">hr_out_features</span><span class="p">)</span>
+                <span class="ow">or</span> <span class="n">is_sfc_model</span>
+            <span class="p">):</span>
+                <span class="n">steps</span><span class="o">.</span><span class="n">append</span><span class="p">({</span><span class="s1">&#39;model&#39;</span><span class="p">:</span> <span class="n">i</span><span class="p">,</span> <span class="s1">&#39;combine_type&#39;</span><span class="p">:</span> <span class="s1">&#39;output&#39;</span><span class="p">})</span>
+        <span class="k">return</span> <span class="n">steps</span></div>
+
+
+<div class="viewcode-block" id="ExoDataHandler.get_exo_rasterizer">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.data_handlers.exo.ExoDataHandler.html#sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_exo_rasterizer">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_exo_rasterizer</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">s_enhance</span><span class="p">,</span> <span class="n">t_enhance</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get exo rasterizer instance for given enhancement factors&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="n">ExoRasterizer</span><span class="p">(</span>
+            <span class="n">file_paths</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">file_paths</span><span class="p">,</span>
+            <span class="n">source_file</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">source_file</span><span class="p">,</span>
+            <span class="n">feature</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">feature</span><span class="p">,</span>
+            <span class="n">s_enhance</span><span class="o">=</span><span class="n">s_enhance</span><span class="p">,</span>
+            <span class="n">t_enhance</span><span class="o">=</span><span class="n">t_enhance</span><span class="p">,</span>
+            <span class="n">input_handler_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">input_handler_name</span><span class="p">,</span>
+            <span class="n">input_handler_kwargs</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">input_handler_kwargs</span><span class="p">,</span>
+            <span class="n">cache_dir</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">cache_dir</span><span class="p">,</span>
+            <span class="n">chunks</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">chunks</span><span class="p">,</span>
+            <span class="n">distance_upper_bound</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">distance_upper_bound</span><span class="p">,</span>
+        <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="ExoDataHandler.get_single_step_data">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.data_handlers.exo.ExoDataHandler.html#sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_single_step_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_single_step_data</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">s_enhance</span><span class="p">,</span> <span class="n">t_enhance</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get exo data for a single model step, with specific enhancement</span>
+<span class="sd">        factors.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_exo_rasterizer</span><span class="p">(</span><span class="n">s_enhance</span><span class="p">,</span> <span class="n">t_enhance</span><span class="p">)</span><span class="o">.</span><span class="n">data</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">cache_files</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get exo data cache file for all enhancement factors&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">[</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">get_exo_rasterizer</span><span class="p">(</span><span class="n">s_en</span><span class="p">,</span> <span class="n">t_en</span><span class="p">)</span><span class="o">.</span><span class="n">cache_file</span>
+            <span class="k">for</span> <span class="n">s_en</span><span class="p">,</span> <span class="n">t_en</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">s_enhancements</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhancements</span><span class="p">)</span>
+        <span class="p">]</span>
+
+<div class="viewcode-block" id="ExoDataHandler.get_all_step_data">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.data_handlers.exo.ExoDataHandler.html#sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_all_step_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_all_step_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get exo data for each model step.&quot;&quot;&quot;</span>
+        <span class="n">data</span> <span class="o">=</span> <span class="p">{</span><span class="bp">self</span><span class="o">.</span><span class="n">feature</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;steps&#39;</span><span class="p">:</span> <span class="p">[]}}</span>
+        <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="p">(</span><span class="n">s_enhance</span><span class="p">,</span> <span class="n">t_enhance</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span>
+            <span class="nb">zip</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">s_enhancements</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhancements</span><span class="p">)</span>
+        <span class="p">):</span>
+            <span class="n">step_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_single_step_data</span><span class="p">(</span>
+                <span class="n">s_enhance</span><span class="o">=</span><span class="n">s_enhance</span><span class="p">,</span> <span class="n">t_enhance</span><span class="o">=</span><span class="n">t_enhance</span>
+            <span class="p">)</span>
+            <span class="n">step</span> <span class="o">=</span> <span class="n">SingleExoDataStep</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">feature</span><span class="p">,</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">steps</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="s1">&#39;combine_type&#39;</span><span class="p">],</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">steps</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="s1">&#39;model&#39;</span><span class="p">],</span>
+                <span class="n">data</span><span class="o">=</span><span class="n">step_data</span><span class="o">.</span><span class="n">as_array</span><span class="p">(),</span>
+            <span class="p">)</span>
+            <span class="n">step</span><span class="p">[</span><span class="s1">&#39;s_enhance&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">s_enhance</span>
+            <span class="n">step</span><span class="p">[</span><span class="s1">&#39;t_enhance&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">t_enhance</span>
+            <span class="n">data</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">feature</span><span class="p">][</span><span class="s1">&#39;steps&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">step</span><span class="p">)</span>
+        <span class="n">shapes</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="kc">None</span> <span class="k">if</span> <span class="n">step</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">step</span><span class="o">.</span><span class="n">shape</span>
+            <span class="k">for</span> <span class="n">step</span> <span class="ow">in</span> <span class="n">data</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">feature</span><span class="p">][</span><span class="s1">&#39;steps&#39;</span><span class="p">]</span>
+        <span class="p">]</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;Got exogenous_data of length </span><span class="si">{}</span><span class="s1"> with shapes: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">feature</span><span class="p">][</span><span class="s1">&#39;steps&#39;</span><span class="p">]),</span> <span class="n">shapes</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="n">data</span></div>
+
+
+    <span class="k">def</span> <span class="nf">_get_single_step_enhance</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">step</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get enhancement factors for exogenous data extraction</span>
+<span class="sd">        using exo_kwargs single model step. These factors are computed using</span>
+<span class="sd">        stored enhance attributes of each model and the model step provided.</span>
+<span class="sd">        If enhancement factors are already provided in step they are not</span>
+<span class="sd">        overwritten.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        step : dict</span>
+<span class="sd">            Model step dictionary. e.g. {&#39;model&#39;: 0, &#39;combine_type&#39;: &#39;input&#39;}</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        updated_step : dict</span>
+<span class="sd">            Same as input dictionary with s_enhance, t_enhance added</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="nb">all</span><span class="p">(</span><span class="n">key</span> <span class="ow">in</span> <span class="n">step</span> <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="p">[</span><span class="s1">&#39;s_enhance&#39;</span><span class="p">,</span> <span class="s1">&#39;t_enhance&#39;</span><span class="p">]):</span>
+            <span class="k">return</span> <span class="n">step</span>
+
+        <span class="n">mstep</span> <span class="o">=</span> <span class="n">step</span><span class="p">[</span><span class="s1">&#39;model&#39;</span><span class="p">]</span>
+        <span class="n">combine_type</span> <span class="o">=</span> <span class="n">step</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;combine_type&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Model index from exo_kwargs (</span><span class="si">{</span><span class="n">mstep</span><span class="si">}</span><span class="s1"> exceeds number &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;of model steps (</span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">models</span><span class="p">)</span><span class="si">}</span><span class="s1">)&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">models</span><span class="p">)</span> <span class="o">&gt;</span> <span class="n">mstep</span><span class="p">,</span> <span class="n">msg</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Received exo_kwargs entry without valid combine_type &#39;</span>
+            <span class="s1">&#39;(input/layer/output)&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="n">combine_type</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">in</span> <span class="p">(</span><span class="s1">&#39;input&#39;</span><span class="p">,</span> <span class="s1">&#39;output&#39;</span><span class="p">,</span> <span class="s1">&#39;layer&#39;</span><span class="p">),</span> <span class="n">msg</span>
+        <span class="k">if</span> <span class="n">combine_type</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="o">==</span> <span class="s1">&#39;input&#39;</span><span class="p">:</span>
+            <span class="k">if</span> <span class="n">mstep</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+                <span class="n">s_enhance</span> <span class="o">=</span> <span class="mi">1</span>
+                <span class="n">t_enhance</span> <span class="o">=</span> <span class="mi">1</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">s_enhance</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">s_enhancements</span><span class="p">[:</span><span class="n">mstep</span><span class="p">]))</span>
+                <span class="n">t_enhance</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">t_enhancements</span><span class="p">[:</span><span class="n">mstep</span><span class="p">]))</span>
+
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">s_enhance</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">s_enhancements</span><span class="p">[:</span> <span class="n">mstep</span> <span class="o">+</span> <span class="mi">1</span><span class="p">]))</span>
+            <span class="n">t_enhance</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">t_enhancements</span><span class="p">[:</span> <span class="n">mstep</span> <span class="o">+</span> <span class="mi">1</span><span class="p">]))</span>
+        <span class="n">step</span><span class="o">.</span><span class="n">update</span><span class="p">({</span><span class="s1">&#39;s_enhance&#39;</span><span class="p">:</span> <span class="n">s_enhance</span><span class="p">,</span> <span class="s1">&#39;t_enhance&#39;</span><span class="p">:</span> <span class="n">t_enhance</span><span class="p">})</span>
+        <span class="k">return</span> <span class="n">step</span>
+
+    <span class="k">def</span> <span class="nf">_get_all_enhancement</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Compute enhancement factors for all model steps.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        s_enhancements: list</span>
+<span class="sd">            List of s_enhance factors for all model steps</span>
+<span class="sd">        t_enhancements: list</span>
+<span class="sd">            List of t_enhance factors for all model steps</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">step</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">steps</span><span class="p">):</span>
+            <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_single_step_enhance</span><span class="p">(</span><span class="n">step</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">steps</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="n">out</span>
+        <span class="n">s_enhancements</span> <span class="o">=</span> <span class="p">[</span><span class="n">step</span><span class="p">[</span><span class="s1">&#39;s_enhance&#39;</span><span class="p">]</span> <span class="k">for</span> <span class="n">step</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">steps</span><span class="p">]</span>
+        <span class="n">t_enhancements</span> <span class="o">=</span> <span class="p">[</span><span class="n">step</span><span class="p">[</span><span class="s1">&#39;t_enhance&#39;</span><span class="p">]</span> <span class="k">for</span> <span class="n">step</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">steps</span><span class="p">]</span>
+        <span class="k">return</span> <span class="n">s_enhancements</span><span class="p">,</span> <span class="n">t_enhancements</span></div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.preprocessing.data_handlers.factory</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;DataHandler objects, which are built through composition of</span>
+<span class="sd">:class:`~sup3r.preprocessing.rasterizers.Rasterizer`,</span>
+<span class="sd">:class:`~sup3r.preprocessing.loaders.Loader`,</span>
+<span class="sd">:class:`~sup3r.preprocessing.derivers.Deriver`, and</span>
+<span class="sd">:class:`~sup3r.preprocessing.cachers.Cacher` classes.</span>
+
+<span class="sd">TODO: If ``.data`` is a ``Sup3rDataset`` with more than one member only the</span>
+<span class="sd">high resolution data is cached. We could extend caching and loading to write /</span>
+<span class="sd">load both with groups</span>
+<span class="sd">&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Callable</span><span class="p">,</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Union</span>
+
+<span class="kn">from</span> <span class="nn">rex</span> <span class="kn">import</span> <span class="n">MultiFileNSRDBX</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.base</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">Sup3rDataset</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.cachers</span> <span class="kn">import</span> <span class="n">Cacher</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.cachers.utilities</span> <span class="kn">import</span> <span class="n">_check_for_cache</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.derivers</span> <span class="kn">import</span> <span class="n">Deriver</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.derivers.methods</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">RegistryH5SolarCC</span><span class="p">,</span>
+    <span class="n">RegistryH5WindCC</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.loaders</span> <span class="kn">import</span> <span class="n">Loader</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.rasterizers</span> <span class="kn">import</span> <span class="n">Rasterizer</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">expand_paths</span><span class="p">,</span>
+    <span class="n">log_args</span><span class="p">,</span>
+    <span class="n">parse_to_list</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="DataHandler">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandler.html#sup3r.preprocessing.data_handlers.factory.DataHandler">[docs]</a>
+<span class="k">class</span> <span class="nc">DataHandler</span><span class="p">(</span><span class="n">Deriver</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Base DataHandler. Composes</span>
+<span class="sd">    :class:`~sup3r.preprocessing.rasterizers.Rasterizer`,</span>
+<span class="sd">    :class:`~sup3r.preprocessing.loaders.Loader`,</span>
+<span class="sd">    :class:`~sup3r.preprocessing.derivers.Deriver`, and</span>
+<span class="sd">    :class:`~sup3r.preprocessing.cachers.Cacher` classes.&quot;&quot;&quot;</span>
+
+    <span class="nd">@log_args</span>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">file_paths</span><span class="p">,</span>
+        <span class="n">features</span><span class="o">=</span><span class="s1">&#39;all&#39;</span><span class="p">,</span>
+        <span class="n">res_kwargs</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">chunks</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">]]</span> <span class="o">=</span> <span class="s1">&#39;auto&#39;</span><span class="p">,</span>
+        <span class="n">target</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">tuple</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">shape</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">tuple</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">time_slice</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">slice</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">,</span> <span class="nb">list</span><span class="p">,</span> <span class="kc">None</span><span class="p">]</span> <span class="o">=</span> <span class="nb">slice</span><span class="p">(</span><span class="kc">None</span><span class="p">),</span>
+        <span class="n">threshold</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">time_roll</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span>
+        <span class="n">time_shift</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">hr_spatial_coarsen</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
+        <span class="n">nan_method_kwargs</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">BaseLoader</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Callable</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">FeatureRegistry</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">interp_kwargs</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">cache_kwargs</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        file_paths : str | list | pathlib.Path</span>
+<span class="sd">            file_paths input to LoaderClass</span>
+<span class="sd">        features : list | str</span>
+<span class="sd">            Features to load and / or derive. If &#39;all&#39; then all available raw</span>
+<span class="sd">            features will be loaded. Specify explicit feature names for</span>
+<span class="sd">            derivations.</span>
+<span class="sd">        res_kwargs : dict</span>
+<span class="sd">            Additional keyword arguments passed through to the ``BaseLoader``.</span>
+<span class="sd">            BaseLoader is usually xr.open_mfdataset for NETCDF files and</span>
+<span class="sd">            MultiFileResourceX for H5 files.</span>
+<span class="sd">        chunks : dict | str</span>
+<span class="sd">            Dictionary of chunk sizes to pass through to</span>
+<span class="sd">            ``dask.array.from_array()`` or ``xr.Dataset().chunk()``. Will be</span>
+<span class="sd">            converted to a tuple when used in ``from_array()``. These are the</span>
+<span class="sd">            methods for H5 and NETCDF data, respectively. This argument can</span>
+<span class="sd">            be &quot;auto&quot; or None in addition to a dictionary. None will not do</span>
+<span class="sd">            any chunking and load data into memory as ``np.array``</span>
+<span class="sd">        target : tuple</span>
+<span class="sd">            (lat, lon) lower left corner of raster. Either need target+shape</span>
+<span class="sd">            or raster_file.</span>
+<span class="sd">        shape : tuple</span>
+<span class="sd">            (rows, cols) grid size. Either need target+shape or raster_file.</span>
+<span class="sd">        time_slice : slice | list</span>
+<span class="sd">            Slice specifying extent and step of temporal extraction. e.g.</span>
+<span class="sd">            slice(start, stop, step). If equal to slice(None, None, 1) the full</span>
+<span class="sd">            time dimension is selected. Can be also be a list ``[start, stop,</span>
+<span class="sd">            step]``</span>
+<span class="sd">        threshold : float</span>
+<span class="sd">            Nearest neighbor euclidean distance threshold. If the coordinates</span>
+<span class="sd">            are more than this value away from the target lat/lon, an error is</span>
+<span class="sd">            raised.</span>
+<span class="sd">        time_roll : int</span>
+<span class="sd">            Number of steps to roll along the time axis. `Passed to</span>
+<span class="sd">            xr.Dataset.roll()`</span>
+<span class="sd">        time_shift : int | None</span>
+<span class="sd">            Number of minutes to shift time axis. This can be used, for</span>
+<span class="sd">            example, to shift the time index for daily data so that the time</span>
+<span class="sd">            stamp for a given day starts at the zeroth minute instead of at</span>
+<span class="sd">            noon, as is the case for most GCM data.</span>
+<span class="sd">        hr_spatial_coarsen : int</span>
+<span class="sd">            Spatial coarsening factor. Passed to `xr.Dataset.coarsen()`</span>
+<span class="sd">        nan_method_kwargs : str | dict | None</span>
+<span class="sd">            Keyword arguments for nan handling. If &#39;mask&#39;, time steps with nans</span>
+<span class="sd">            will be dropped. Otherwise this should be a dict of kwargs which</span>
+<span class="sd">            will be passed to</span>
+<span class="sd">            :py:meth:`sup3r.preprocessing.accessor.Sup3rX.interpolate_na`.</span>
+<span class="sd">        BaseLoader : Callable</span>
+<span class="sd">            Base level file loader wrapped by</span>
+<span class="sd">            :class:`~sup3r.preprocessing.loaders.Loader`. This is usually</span>
+<span class="sd">            xr.open_mfdataset for NETCDF files and MultiFileResourceX for H5</span>
+<span class="sd">            files.</span>
+<span class="sd">        FeatureRegistry : dict</span>
+<span class="sd">            Dictionary of</span>
+<span class="sd">            :class:`~sup3r.preprocessing.derivers.methods.DerivedFeature`</span>
+<span class="sd">            objects used for derivations</span>
+<span class="sd">        interp_kwargs : dict | None</span>
+<span class="sd">            Dictionary of kwargs for level interpolation. Can include &quot;method&quot;</span>
+<span class="sd">            and &quot;run_level_check&quot; keys. Method specifies how to perform height</span>
+<span class="sd">            interpolation. e.g. Deriving u_20m from u_10m and u_100m. Options</span>
+<span class="sd">            are &quot;linear&quot; and &quot;log&quot;. See</span>
+<span class="sd">            :py:meth:`sup3r.preprocessing.derivers.Deriver.do_level_interpolation`</span>
+<span class="sd">        cache_kwargs : dict | None</span>
+<span class="sd">            Dictionary with kwargs for caching wrangled data. This should at</span>
+<span class="sd">            minimum include a `cache_pattern` key, value. This pattern must</span>
+<span class="sd">            have a {feature} format key and either a h5 or nc file extension,</span>
+<span class="sd">            based on desired output type. See class:`Cacher` for description</span>
+<span class="sd">            of more arguments.</span>
+<span class="sd">        kwargs : dict</span>
+<span class="sd">            Dictionary of additional keyword args for</span>
+<span class="sd">            :class:`~sup3r.preprocessing.rasterizers.Rasterizer`, used</span>
+<span class="sd">            specifically for rasterizing flattened data</span>
+<span class="sd">        &quot;&quot;&quot;</span>  <span class="c1"># pylint: disable=line-too-long</span>
+
+        <span class="n">features</span> <span class="o">=</span> <span class="n">parse_to_list</span><span class="p">(</span><span class="n">features</span><span class="o">=</span><span class="n">features</span><span class="p">)</span>
+        <span class="n">cached_files</span><span class="p">,</span> <span class="n">cached_features</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">missing_features</span> <span class="o">=</span> <span class="n">_check_for_cache</span><span class="p">(</span>
+            <span class="n">features</span><span class="o">=</span><span class="n">features</span><span class="p">,</span> <span class="n">cache_kwargs</span><span class="o">=</span><span class="n">cache_kwargs</span>
+        <span class="p">)</span>
+
+        <span class="n">just_coords</span> <span class="o">=</span> <span class="ow">not</span> <span class="n">features</span>
+        <span class="n">raster_feats</span> <span class="o">=</span> <span class="s1">&#39;all&#39;</span> <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">missing_features</span><span class="p">)</span> <span class="k">else</span> <span class="p">[]</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">loader</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">cache</span> <span class="o">=</span> <span class="kc">None</span>
+
+        <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">cached_features</span><span class="p">):</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">cache</span> <span class="o">=</span> <span class="n">Loader</span><span class="p">(</span>
+                <span class="n">file_paths</span><span class="o">=</span><span class="n">cached_files</span><span class="p">,</span>
+                <span class="n">res_kwargs</span><span class="o">=</span><span class="n">res_kwargs</span><span class="p">,</span>
+                <span class="n">chunks</span><span class="o">=</span><span class="n">chunks</span><span class="p">,</span>
+                <span class="n">BaseLoader</span><span class="o">=</span><span class="n">BaseLoader</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">loader</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">cache</span>
+
+        <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">missing_features</span><span class="p">)</span> <span class="ow">or</span> <span class="n">just_coords</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span> <span class="o">=</span> <span class="n">Rasterizer</span><span class="p">(</span>
+                <span class="n">file_paths</span><span class="o">=</span><span class="n">file_paths</span><span class="p">,</span>
+                <span class="n">res_kwargs</span><span class="o">=</span><span class="n">res_kwargs</span><span class="p">,</span>
+                <span class="n">features</span><span class="o">=</span><span class="n">raster_feats</span><span class="p">,</span>
+                <span class="n">chunks</span><span class="o">=</span><span class="n">chunks</span><span class="p">,</span>
+                <span class="n">target</span><span class="o">=</span><span class="n">target</span><span class="p">,</span>
+                <span class="n">shape</span><span class="o">=</span><span class="n">shape</span><span class="p">,</span>
+                <span class="n">time_slice</span><span class="o">=</span><span class="n">time_slice</span><span class="p">,</span>
+                <span class="n">threshold</span><span class="o">=</span><span class="n">threshold</span><span class="p">,</span>
+                <span class="n">BaseLoader</span><span class="o">=</span><span class="n">BaseLoader</span><span class="p">,</span>
+                <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">loader</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span><span class="o">.</span><span class="n">loader</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">time_slice</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span><span class="o">.</span><span class="n">time_slice</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">lat_lon</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span><span class="o">.</span><span class="n">lat_lon</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_rasterizer_hook</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span>
+
+        <span class="k">if</span> <span class="n">missing_features</span><span class="p">:</span>
+            <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span>
+                <span class="n">data</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">,</span>
+                <span class="n">features</span><span class="o">=</span><span class="n">features</span><span class="p">,</span>
+                <span class="n">time_roll</span><span class="o">=</span><span class="n">time_roll</span><span class="p">,</span>
+                <span class="n">time_shift</span><span class="o">=</span><span class="n">time_shift</span><span class="p">,</span>
+                <span class="n">hr_spatial_coarsen</span><span class="o">=</span><span class="n">hr_spatial_coarsen</span><span class="p">,</span>
+                <span class="n">nan_method_kwargs</span><span class="o">=</span><span class="n">nan_method_kwargs</span><span class="p">,</span>
+                <span class="n">FeatureRegistry</span><span class="o">=</span><span class="n">FeatureRegistry</span><span class="p">,</span>
+                <span class="n">interp_kwargs</span><span class="o">=</span><span class="n">interp_kwargs</span><span class="p">,</span>
+            <span class="p">)</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">cache</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">cached_features</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">cache</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">cached_features</span><span class="p">]</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span><span class="o">.</span><span class="n">file_paths</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="n">expand_paths</span><span class="p">(</span><span class="n">file_paths</span><span class="p">)</span> <span class="o">+</span> <span class="n">cached_files</span>
+            <span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">cache_kwargs</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="s1">&#39;cache_pattern&#39;</span> <span class="ow">in</span> <span class="n">cache_kwargs</span><span class="p">:</span>
+            <span class="n">_</span> <span class="o">=</span> <span class="n">Cacher</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">,</span> <span class="n">cache_kwargs</span><span class="o">=</span><span class="n">cache_kwargs</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_deriver_hook</span><span class="p">()</span>
+
+    <span class="k">def</span> <span class="nf">_rasterizer_hook</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Hook in after rasterizer initialization. Implement this to</span>
+<span class="sd">        extend class functionality with operations after default rasterizer</span>
+<span class="sd">        initialization. e.g. If special methods are required to add more</span>
+<span class="sd">        data to the rasterized data or to perform some pre-processing</span>
+<span class="sd">        before derivations.</span>
+
+<span class="sd">        Examples</span>
+<span class="sd">        --------</span>
+<span class="sd">         - adding a special method to extract / regrid clearsky_ghi from an</span>
+<span class="sd">         nsrdb source file prior to derivation of clearsky_ratio.</span>
+<span class="sd">         - apply bias correction to rasterized data before deriving new</span>
+<span class="sd">         features</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="nf">_deriver_hook</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Hook in after deriver initialization. Implement this to extend</span>
+<span class="sd">        class functionality with operations after default deriver</span>
+<span class="sd">        initialization. e.g. If special methods are required to derive</span>
+<span class="sd">        additional features which might depend on non-standard inputs (e.g.</span>
+<span class="sd">        other source files than those used by the loader).&quot;&quot;&quot;</span></div>
+
+
+
+<div class="viewcode-block" id="DailyDataHandler">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.data_handlers.factory.DailyDataHandler.html#sup3r.preprocessing.data_handlers.factory.DailyDataHandler">[docs]</a>
+<span class="k">class</span> <span class="nc">DailyDataHandler</span><span class="p">(</span><span class="n">DataHandler</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;General data handler class with daily data as an additional attribute.</span>
+<span class="sd">    xr.Dataset coarsen method employed to compute averages / mins / maxes over</span>
+<span class="sd">    daily windows. Special treatment of clearsky_ratio, which requires</span>
+<span class="sd">    derivation from total clearsky_ghi and total ghi.</span>
+
+<span class="sd">    TODO:</span>
+<span class="sd">    (1) Not a fan of manually adding cs_ghi / ghi and then removing. Maybe</span>
+<span class="sd">    this could be handled through a derivation instead</span>
+
+<span class="sd">    (2) We assume daily and hourly data here but we could generalize this to</span>
+<span class="sd">    go from daily -&gt; any time step. This would then enable the CC models to do</span>
+<span class="sd">    arbitrary temporal enhancement.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_paths</span><span class="p">,</span> <span class="n">features</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Add features required for daily cs ratio derivation if not</span>
+<span class="sd">        requested.&quot;&quot;&quot;</span>
+
+        <span class="n">features</span> <span class="o">=</span> <span class="n">parse_to_list</span><span class="p">(</span><span class="n">features</span><span class="o">=</span><span class="n">features</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">requested_features</span> <span class="o">=</span> <span class="n">features</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+        <span class="k">if</span> <span class="s1">&#39;clearsky_ratio&#39;</span> <span class="ow">in</span> <span class="n">features</span><span class="p">:</span>
+            <span class="n">needed</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="n">f</span>
+                <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">FEATURE_REGISTRY</span><span class="p">[</span><span class="s1">&#39;clearsky_ratio&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">inputs</span>
+                <span class="k">if</span> <span class="n">f</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">features</span>
+            <span class="p">]</span>
+            <span class="n">features</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="n">needed</span><span class="p">)</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">file_paths</span><span class="o">=</span><span class="n">file_paths</span><span class="p">,</span> <span class="n">features</span><span class="o">=</span><span class="n">features</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+    <span class="n">_signature_objs</span> <span class="o">=</span> <span class="p">(</span><span class="fm">__init__</span><span class="p">,</span> <span class="n">DataHandler</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="nf">_deriver_hook</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Hook to run daily coarsening calculations after derivations of</span>
+<span class="sd">        hourly variables. Replaces data with daily averages / maxes / mins</span>
+<span class="sd">        / sums&quot;&quot;&quot;</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Data needs to be hourly with at least 24 hours, but data &#39;</span>
+            <span class="s1">&#39;shape is </span><span class="si">{}</span><span class="s1">.&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+        <span class="p">)</span>
+
+        <span class="n">day_steps</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="mi">24</span> <span class="o">*</span> <span class="mi">3600</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">time_step</span><span class="p">)</span>
+        <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">time_index</span><span class="p">)</span> <span class="o">%</span> <span class="n">day_steps</span> <span class="o">==</span> <span class="mi">0</span><span class="p">,</span> <span class="n">msg</span>
+        <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">time_index</span><span class="p">)</span> <span class="o">&gt;</span> <span class="n">day_steps</span><span class="p">,</span> <span class="n">msg</span>
+
+        <span class="n">n_data_days</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">time_index</span><span class="p">)</span> <span class="o">/</span> <span class="n">day_steps</span><span class="p">)</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;Calculating daily average datasets for </span><span class="si">{}</span><span class="s1"> training &#39;</span>
+            <span class="s1">&#39;data days.&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">n_data_days</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="n">daily_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">coarsen</span><span class="p">(</span><span class="n">time</span><span class="o">=</span><span class="n">day_steps</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
+        <span class="n">feats</span> <span class="o">=</span> <span class="p">[</span><span class="n">f</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">features</span> <span class="k">if</span> <span class="s1">&#39;clearsky_ratio&#39;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">f</span><span class="p">]</span>
+        <span class="n">feats</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">feats</span>
+            <span class="k">if</span> <span class="s1">&#39;clearsky_ratio&#39;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">features</span>
+            <span class="k">else</span> <span class="p">[</span><span class="o">*</span><span class="n">feats</span><span class="p">,</span> <span class="s1">&#39;total_clearsky_ghi&#39;</span><span class="p">,</span> <span class="s1">&#39;total_ghi&#39;</span><span class="p">]</span>
+        <span class="p">)</span>
+        <span class="k">for</span> <span class="n">fname</span> <span class="ow">in</span> <span class="n">feats</span><span class="p">:</span>
+            <span class="k">if</span> <span class="s1">&#39;_max_&#39;</span> <span class="ow">in</span> <span class="n">fname</span><span class="p">:</span>
+                <span class="n">daily_data</span><span class="p">[</span><span class="n">fname</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">fname</span><span class="p">]</span><span class="o">.</span><span class="n">coarsen</span><span class="p">(</span><span class="n">time</span><span class="o">=</span><span class="n">day_steps</span><span class="p">)</span><span class="o">.</span><span class="n">max</span><span class="p">()</span>
+                <span class="p">)</span>
+            <span class="k">if</span> <span class="s1">&#39;_min_&#39;</span> <span class="ow">in</span> <span class="n">fname</span><span class="p">:</span>
+                <span class="n">daily_data</span><span class="p">[</span><span class="n">fname</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">fname</span><span class="p">]</span><span class="o">.</span><span class="n">coarsen</span><span class="p">(</span><span class="n">time</span><span class="o">=</span><span class="n">day_steps</span><span class="p">)</span><span class="o">.</span><span class="n">min</span><span class="p">()</span>
+                <span class="p">)</span>
+            <span class="k">if</span> <span class="s1">&#39;total_&#39;</span> <span class="ow">in</span> <span class="n">fname</span><span class="p">:</span>
+                <span class="n">daily_data</span><span class="p">[</span><span class="n">fname</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">fname</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;total_&#39;</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]]</span>
+                    <span class="o">.</span><span class="n">coarsen</span><span class="p">(</span><span class="n">time</span><span class="o">=</span><span class="n">day_steps</span><span class="p">)</span>
+                    <span class="o">.</span><span class="n">sum</span><span class="p">()</span>
+                <span class="p">)</span>
+
+        <span class="k">if</span> <span class="s1">&#39;clearsky_ratio&#39;</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">:</span>
+            <span class="n">daily_data</span><span class="p">[</span><span class="s1">&#39;clearsky_ratio&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="n">daily_data</span><span class="p">[</span><span class="s1">&#39;total_ghi&#39;</span><span class="p">]</span> <span class="o">/</span> <span class="n">daily_data</span><span class="p">[</span><span class="s1">&#39;total_clearsky_ghi&#39;</span><span class="p">]</span>
+            <span class="p">)</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;Finished calculating daily average datasets for </span><span class="si">{}</span><span class="s1"> &#39;</span>
+            <span class="s1">&#39;training data days.&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">n_data_days</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="n">hourly_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">requested_features</span><span class="p">]</span>
+        <span class="n">daily_data</span> <span class="o">=</span> <span class="n">daily_data</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">requested_features</span><span class="p">]</span>
+        <span class="n">hourly_data</span><span class="o">.</span><span class="n">attrs</span><span class="o">.</span><span class="n">update</span><span class="p">({</span><span class="s1">&#39;name&#39;</span><span class="p">:</span> <span class="s1">&#39;hourly&#39;</span><span class="p">})</span>
+        <span class="n">daily_data</span><span class="o">.</span><span class="n">attrs</span><span class="o">.</span><span class="n">update</span><span class="p">({</span><span class="s1">&#39;name&#39;</span><span class="p">:</span> <span class="s1">&#39;daily&#39;</span><span class="p">})</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">data</span> <span class="o">=</span> <span class="n">Sup3rDataset</span><span class="p">(</span><span class="n">daily</span><span class="o">=</span><span class="n">daily_data</span><span class="p">,</span> <span class="n">hourly</span><span class="o">=</span><span class="n">hourly_data</span><span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="DataHandlerFactory">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerFactory.html#sup3r.preprocessing.data_handlers.factory.DataHandlerFactory">[docs]</a>
+<span class="k">def</span> <span class="nf">DataHandlerFactory</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">BaseLoader</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">FeatureRegistry</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Build composite objects that load from file_paths, rasterize a specified</span>
+<span class="sd">    region, derive new features, and cache derived data.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    BaseLoader : Callable</span>
+<span class="sd">        Optional base loader update. The default for H5 is MultiFileWindX and</span>
+<span class="sd">        for NETCDF the default is xarray</span>
+<span class="sd">    FeatureRegistry : Dict[str, DerivedFeature]</span>
+<span class="sd">        Dictionary of compute methods for features. This is used to look up how</span>
+<span class="sd">        to derive features that are not contained in the raw loaded data.</span>
+<span class="sd">    name : str</span>
+<span class="sd">        Optional class name, used to resolve `repr(Class)` and distinguish</span>
+<span class="sd">        partially initialized DataHandlers with different FeatureRegistrys</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">class</span> <span class="nc">FactoryDataHandler</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;FactoryDataHandler object. Is a partially initialized instance with</span>
+<span class="sd">        `BaseLoader`, `FeatureRegistry`, and `name` set.&quot;&quot;&quot;</span>
+
+        <span class="n">FEATURE_REGISTRY</span> <span class="o">=</span> <span class="n">FeatureRegistry</span> <span class="ow">or</span> <span class="kc">None</span>
+        <span class="n">BASE_LOADER</span> <span class="o">=</span> <span class="n">BaseLoader</span> <span class="ow">or</span> <span class="kc">None</span>
+        <span class="vm">__name__</span> <span class="o">=</span> <span class="n">name</span> <span class="ow">or</span> <span class="s1">&#39;FactoryDataHandler&#39;</span>
+
+        <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_paths</span><span class="p">,</span> <span class="n">features</span><span class="o">=</span><span class="s1">&#39;all&#39;</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">            </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">            Parameters</span>
+<span class="sd">            ----------</span>
+<span class="sd">            file_paths : str | list | pathlib.Path</span>
+<span class="sd">                file_paths input to LoaderClass</span>
+<span class="sd">            features : list | str</span>
+<span class="sd">                Features to load and / or derive. If &#39;all&#39; then all available</span>
+<span class="sd">                raw features will be loaded. Specify explicit feature names for</span>
+<span class="sd">                derivations.</span>
+<span class="sd">            kwargs : dict</span>
+<span class="sd">                kwargs for parent class, except for FeatureRegistry and</span>
+<span class="sd">                BaseLoader</span>
+<span class="sd">            &quot;&quot;&quot;</span>
+            <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span>
+                <span class="n">file_paths</span><span class="p">,</span>
+                <span class="n">features</span><span class="o">=</span><span class="n">features</span><span class="p">,</span>
+                <span class="n">BaseLoader</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">BASE_LOADER</span><span class="p">,</span>
+                <span class="n">FeatureRegistry</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">FEATURE_REGISTRY</span><span class="p">,</span>
+                <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+            <span class="p">)</span>
+
+        <span class="n">_signature_objs</span> <span class="o">=</span> <span class="p">(</span><span class="bp">cls</span><span class="p">,)</span>
+        <span class="n">_skip_params</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;FeatureRegistry&#39;</span><span class="p">,</span> <span class="s1">&#39;BaseLoader&#39;</span><span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">FactoryDataHandler</span></div>
+
+
+
+<span class="n">DataHandlerH5SolarCC</span> <span class="o">=</span> <span class="n">DataHandlerFactory</span><span class="p">(</span>
+    <span class="n">DailyDataHandler</span><span class="p">,</span>
+    <span class="n">BaseLoader</span><span class="o">=</span><span class="n">MultiFileNSRDBX</span><span class="p">,</span>
+    <span class="n">FeatureRegistry</span><span class="o">=</span><span class="n">RegistryH5SolarCC</span><span class="p">,</span>
+    <span class="n">name</span><span class="o">=</span><span class="s1">&#39;DataHandlerH5SolarCC&#39;</span><span class="p">,</span>
+<span class="p">)</span>
+
+
+<span class="n">DataHandlerH5WindCC</span> <span class="o">=</span> <span class="n">DataHandlerFactory</span><span class="p">(</span>
+    <span class="n">DailyDataHandler</span><span class="p">,</span>
+    <span class="n">BaseLoader</span><span class="o">=</span><span class="n">MultiFileNSRDBX</span><span class="p">,</span>
+    <span class="n">FeatureRegistry</span><span class="o">=</span><span class="n">RegistryH5WindCC</span><span class="p">,</span>
+    <span class="n">name</span><span class="o">=</span><span class="s1">&#39;DataHandlerH5WindCC&#39;</span><span class="p">,</span>
+<span class="p">)</span>
+</pre></div>
+
+                </article>
+              
+
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+  <h1>Source code for sup3r.preprocessing.data_handlers.nc_cc</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;NETCDF DataHandler for climate change applications.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+
+<span class="kn">import</span> <span class="nn">dask.array</span> <span class="k">as</span> <span class="nn">da</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">from</span> <span class="nn">scipy.spatial</span> <span class="kn">import</span> <span class="n">KDTree</span>
+<span class="kn">from</span> <span class="nn">scipy.stats</span> <span class="kn">import</span> <span class="n">mode</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.derivers.methods</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">RegistryNCforCC</span><span class="p">,</span>
+    <span class="n">RegistryNCforCCwithPowerLaw</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.loaders</span> <span class="kn">import</span> <span class="n">Loader</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.names</span> <span class="kn">import</span> <span class="n">Dimension</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="n">log_args</span>
+
+<span class="kn">from</span> <span class="nn">.factory</span> <span class="kn">import</span> <span class="n">DataHandler</span><span class="p">,</span> <span class="n">DataHandlerFactory</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<span class="n">BaseNCforCC</span> <span class="o">=</span> <span class="n">DataHandlerFactory</span><span class="p">(</span><span class="n">DataHandler</span><span class="p">,</span> <span class="n">FeatureRegistry</span><span class="o">=</span><span class="n">RegistryNCforCC</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="DataHandlerNCforCC">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC">[docs]</a>
+<span class="k">class</span> <span class="nc">DataHandlerNCforCC</span><span class="p">(</span><span class="n">BaseNCforCC</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Extended NETCDF data handler. This implements a rasterizer hook to add</span>
+<span class="sd">    &quot;clearsky_ghi&quot; to the rasterized data if &quot;clearsky_ghi&quot; is requested.&quot;&quot;&quot;</span>
+
+    <span class="nd">@log_args</span>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">file_paths</span><span class="p">,</span>
+        <span class="n">features</span><span class="o">=</span><span class="s1">&#39;all&#39;</span><span class="p">,</span>
+        <span class="n">nsrdb_source_fp</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">nsrdb_agg</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+        <span class="n">nsrdb_smoothing</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
+        <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        file_paths : str | list | pathlib.Path</span>
+<span class="sd">            file_paths input to</span>
+<span class="sd">            :class:`~sup3r.preprocessing.rasterizers.Rasterizer`</span>
+<span class="sd">        features : list</span>
+<span class="sd">            Features to derive from loaded data.</span>
+<span class="sd">        nsrdb_source_fp : str | None</span>
+<span class="sd">            Optional NSRDB source h5 file to retrieve clearsky_ghi from to</span>
+<span class="sd">            calculate CC clearsky_ratio along with rsds (ghi) from the CC</span>
+<span class="sd">            netcdf file.</span>
+<span class="sd">        nsrdb_agg : int</span>
+<span class="sd">            Optional number of NSRDB source pixels to aggregate clearsky_ghi</span>
+<span class="sd">            from to a single climate change netcdf pixel. This can be used if</span>
+<span class="sd">            the CC.nc data is at a much coarser resolution than the source</span>
+<span class="sd">            nsrdb data.</span>
+<span class="sd">        nsrdb_smoothing : float</span>
+<span class="sd">            Optional gaussian filter smoothing factor to smooth out</span>
+<span class="sd">            clearsky_ghi from high-resolution nsrdb source data. This is</span>
+<span class="sd">            typically done because spatially aggregated nsrdb data is still</span>
+<span class="sd">            usually rougher than CC irradiance data.</span>
+<span class="sd">        kwargs : list</span>
+<span class="sd">            Same optional keyword arguments as parent class.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_nsrdb_source_fp</span> <span class="o">=</span> <span class="n">nsrdb_source_fp</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_nsrdb_agg</span> <span class="o">=</span> <span class="n">nsrdb_agg</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_nsrdb_smoothing</span> <span class="o">=</span> <span class="n">nsrdb_smoothing</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_features</span> <span class="o">=</span> <span class="n">features</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">file_paths</span><span class="o">=</span><span class="n">file_paths</span><span class="p">,</span> <span class="n">features</span><span class="o">=</span><span class="n">features</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+    <span class="n">_signature_objs</span> <span class="o">=</span> <span class="p">(</span><span class="fm">__init__</span><span class="p">,</span> <span class="n">BaseNCforCC</span><span class="p">)</span>
+    <span class="n">_skip_params</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;name&#39;</span><span class="p">,</span> <span class="s1">&#39;FeatureRegistry&#39;</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="nf">_rasterizer_hook</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Rasterizer hook implementation to add &#39;clearsky_ghi&#39; data to</span>
+<span class="sd">        rasterized data, which will then be used when the :class:`Deriver` is</span>
+<span class="sd">        called.&quot;&quot;&quot;</span>
+        <span class="n">cs_feats</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;clearsky_ratio&#39;</span><span class="p">,</span> <span class="s1">&#39;clearsky_ghi&#39;</span><span class="p">]</span>
+        <span class="n">need_ghi</span> <span class="o">=</span> <span class="nb">any</span><span class="p">(</span>
+            <span class="n">f</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_features</span> <span class="ow">and</span> <span class="n">f</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">cs_feats</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="n">need_ghi</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;clearsky_ghi&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_clearsky_ghi</span><span class="p">()</span>
+
+<div class="viewcode-block" id="DataHandlerNCforCC.run_input_checks">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.run_input_checks">[docs]</a>
+    <span class="k">def</span> <span class="nf">run_input_checks</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Run checks on the files provided for extracting clearsky_ghi. Make</span>
+<span class="sd">        sure the loaded data is daily data and the step size is one day.&quot;&quot;&quot;</span>
+
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Need nsrdb_source_fp input arg as a valid filepath to &#39;</span>
+            <span class="s1">&#39;retrieve clearsky_ghi (maybe for clearsky_ratio) but &#39;</span>
+            <span class="s1">&#39;received: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_nsrdb_source_fp</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="bp">self</span><span class="o">.</span><span class="n">_nsrdb_source_fp</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_nsrdb_source_fp</span>
+        <span class="p">),</span> <span class="n">msg</span>
+
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Can only handle source CC data in hourly frequency but &#39;</span>
+            <span class="s1">&#39;received daily frequency of </span><span class="si">{}</span><span class="s1">hrs (should be 24) &#39;</span>
+            <span class="s1">&#39;with raw time index: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">loader</span><span class="o">.</span><span class="n">time_step</span> <span class="o">/</span> <span class="mi">3600</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span><span class="o">.</span><span class="n">time_index</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="bp">self</span><span class="o">.</span><span class="n">loader</span><span class="o">.</span><span class="n">time_step</span> <span class="o">/</span> <span class="mi">3600</span> <span class="o">==</span> <span class="mf">24.0</span><span class="p">,</span> <span class="n">msg</span>
+
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Can only handle source CC data with time_slice.step == 1 &#39;</span>
+            <span class="s1">&#39;but received: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span><span class="o">.</span><span class="n">time_slice</span><span class="o">.</span><span class="n">step</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span><span class="o">.</span><span class="n">time_slice</span><span class="o">.</span><span class="n">step</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">)</span> <span class="o">|</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span><span class="o">.</span><span class="n">time_slice</span><span class="o">.</span><span class="n">step</span> <span class="o">==</span> <span class="mi">1</span>
+        <span class="p">),</span> <span class="n">msg</span></div>
+
+
+<div class="viewcode-block" id="DataHandlerNCforCC.run_wrap_checks">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.run_wrap_checks">[docs]</a>
+    <span class="k">def</span> <span class="nf">run_wrap_checks</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">cs_ghi</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Run check on rasterized data from clearsky_ghi source.&quot;&quot;&quot;</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;Reshaped clearsky_ghi data to final shape </span><span class="si">{}</span><span class="s1"> to &#39;</span>
+            <span class="s1">&#39;correspond with CC daily average data over source &#39;</span>
+            <span class="s1">&#39;time_slice </span><span class="si">{}</span><span class="s1"> with (lat, lon) grid shape of </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">cs_ghi</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span><span class="o">.</span><span class="n">time_slice</span><span class="p">,</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span><span class="o">.</span><span class="n">grid_shape</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;nsrdb clearsky GHI time dimension </span><span class="si">{}</span><span class="s1"> &#39;</span>
+            <span class="s1">&#39;does not match the GCM time dimension </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">cs_ghi</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span><span class="o">.</span><span class="n">time_index</span><span class="p">)</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="n">cs_ghi</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">==</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span><span class="o">.</span><span class="n">time_index</span><span class="p">),</span> <span class="n">msg</span></div>
+
+
+<div class="viewcode-block" id="DataHandlerNCforCC.get_time_slice">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_time_slice">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_time_slice</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">ti_nsrdb</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get nsrdb data time slice consistent with self.time_index.&quot;&quot;&quot;</span>
+        <span class="n">t_start</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span>
+            <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span><span class="o">.</span><span class="n">time_index</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">month</span> <span class="o">==</span> <span class="n">ti_nsrdb</span><span class="o">.</span><span class="n">month</span><span class="p">)</span>
+            <span class="o">&amp;</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span><span class="o">.</span><span class="n">time_index</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">day</span> <span class="o">==</span> <span class="n">ti_nsrdb</span><span class="o">.</span><span class="n">day</span><span class="p">)</span>
+        <span class="p">)[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
+        <span class="n">t_end</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="mi">1</span>
+            <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span>
+                <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span><span class="o">.</span><span class="n">time_index</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">month</span> <span class="o">==</span> <span class="n">ti_nsrdb</span><span class="o">.</span><span class="n">month</span><span class="p">)</span>
+                <span class="o">&amp;</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span><span class="o">.</span><span class="n">time_index</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">day</span> <span class="o">==</span> <span class="n">ti_nsrdb</span><span class="o">.</span><span class="n">day</span><span class="p">)</span>
+            <span class="p">)[</span><span class="mi">0</span><span class="p">][</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+        <span class="p">)</span>
+        <span class="n">t_slice</span> <span class="o">=</span> <span class="nb">slice</span><span class="p">(</span><span class="n">t_start</span><span class="p">,</span> <span class="n">t_end</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">t_slice</span></div>
+
+
+<div class="viewcode-block" id="DataHandlerNCforCC.get_clearsky_ghi">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_clearsky_ghi">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_clearsky_ghi</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get clearsky ghi from an exogenous NSRDB source h5 file at the</span>
+<span class="sd">        target CC meta data and time index.</span>
+
+<span class="sd">        TODO: Replace some of this with call to Regridder? Perform daily</span>
+<span class="sd">        means with self.loader.coarsen?</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        cs_ghi : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            Clearsky ghi (W/m2) from the nsrdb_source_fp h5 source file. Data</span>
+<span class="sd">            shape is (lat, lon, time) where time is daily average values.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">run_input_checks</span><span class="p">()</span>
+
+        <span class="n">res</span> <span class="o">=</span> <span class="n">Loader</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_nsrdb_source_fp</span><span class="p">)</span>
+        <span class="n">ti_nsrdb</span> <span class="o">=</span> <span class="n">res</span><span class="o">.</span><span class="n">time_index</span>
+        <span class="n">t_slice</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_time_slice</span><span class="p">(</span><span class="n">ti_nsrdb</span><span class="p">)</span>
+        <span class="n">cc_meta</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">lat_lon</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">))</span>
+
+        <span class="n">tree</span> <span class="o">=</span> <span class="n">KDTree</span><span class="p">(</span><span class="n">res</span><span class="o">.</span><span class="n">lat_lon</span><span class="p">)</span>
+        <span class="n">_</span><span class="p">,</span> <span class="n">i</span> <span class="o">=</span> <span class="n">tree</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">cc_meta</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_nsrdb_agg</span><span class="p">)</span>
+        <span class="n">i</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">i</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">i</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span> <span class="k">else</span> <span class="n">i</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;Extracting clearsky_ghi data from &quot;</span><span class="si">{}</span><span class="s1">&quot; with time slice &#39;</span>
+            <span class="s1">&#39;</span><span class="si">{}</span><span class="s1"> and </span><span class="si">{}</span><span class="s1"> locations with agg factor </span><span class="si">{}</span><span class="s1">.&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">basename</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_nsrdb_source_fp</span><span class="p">),</span>
+                <span class="n">t_slice</span><span class="p">,</span>
+                <span class="n">i</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
+                <span class="n">i</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+
+        <span class="n">cs_ghi</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">res</span><span class="o">.</span><span class="n">data</span><span class="p">[[</span><span class="s1">&#39;clearsky_ghi&#39;</span><span class="p">]]</span>
+            <span class="o">.</span><span class="n">isel</span><span class="p">(</span>
+                <span class="p">{</span>
+                    <span class="n">Dimension</span><span class="o">.</span><span class="n">FLATTENED_SPATIAL</span><span class="p">:</span> <span class="n">i</span><span class="o">.</span><span class="n">flatten</span><span class="p">(),</span>
+                    <span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">:</span> <span class="n">t_slice</span><span class="p">,</span>
+                <span class="p">}</span>
+            <span class="p">)</span>
+            <span class="o">.</span><span class="n">coarsen</span><span class="p">({</span><span class="n">Dimension</span><span class="o">.</span><span class="n">FLATTENED_SPATIAL</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">_nsrdb_agg</span><span class="p">})</span>
+            <span class="o">.</span><span class="n">mean</span><span class="p">()</span>
+        <span class="p">)</span>
+        <span class="n">time_freq</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span>
+            <span class="n">mode</span><span class="p">(</span>
+                <span class="p">(</span><span class="n">ti_nsrdb</span><span class="p">[</span><span class="mi">1</span><span class="p">:]</span> <span class="o">-</span> <span class="n">ti_nsrdb</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span><span class="o">.</span><span class="n">seconds</span> <span class="o">/</span> <span class="mi">3600</span><span class="p">,</span> <span class="n">keepdims</span><span class="o">=</span><span class="kc">False</span>
+            <span class="p">)</span><span class="o">.</span><span class="n">mode</span>
+        <span class="p">)</span>
+
+        <span class="n">cs_ghi</span> <span class="o">=</span> <span class="n">cs_ghi</span><span class="o">.</span><span class="n">coarsen</span><span class="p">({</span><span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">:</span> <span class="nb">int</span><span class="p">(</span><span class="mi">24</span> <span class="o">//</span> <span class="n">time_freq</span><span class="p">)})</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
+        <span class="n">lat_idx</span><span class="p">,</span> <span class="n">lon_idx</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span><span class="o">.</span><span class="n">grid_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]),</span>
+            <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span><span class="o">.</span><span class="n">grid_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]),</span>
+        <span class="p">)</span>
+        <span class="n">ind</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">MultiIndex</span><span class="o">.</span><span class="n">from_product</span><span class="p">(</span>
+            <span class="p">(</span><span class="n">lat_idx</span><span class="p">,</span> <span class="n">lon_idx</span><span class="p">),</span> <span class="n">names</span><span class="o">=</span><span class="n">Dimension</span><span class="o">.</span><span class="n">dims_2d</span><span class="p">()</span>
+        <span class="p">)</span>
+        <span class="n">cs_ghi</span> <span class="o">=</span> <span class="n">cs_ghi</span><span class="o">.</span><span class="n">assign</span><span class="p">({</span><span class="n">Dimension</span><span class="o">.</span><span class="n">FLATTENED_SPATIAL</span><span class="p">:</span> <span class="n">ind</span><span class="p">})</span><span class="o">.</span><span class="n">unstack</span><span class="p">(</span>
+            <span class="n">Dimension</span><span class="o">.</span><span class="n">FLATTENED_SPATIAL</span>
+        <span class="p">)</span>
+
+        <span class="n">cs_ghi</span> <span class="o">=</span> <span class="n">cs_ghi</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="o">*</span><span class="n">Dimension</span><span class="o">.</span><span class="n">dims_3d</span><span class="p">())</span>
+
+        <span class="n">cs_ghi</span> <span class="o">=</span> <span class="n">cs_ghi</span><span class="p">[</span><span class="s1">&#39;clearsky_ghi&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">data</span>
+        <span class="k">if</span> <span class="n">cs_ghi</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">&lt;</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span><span class="o">.</span><span class="n">time_index</span><span class="p">):</span>
+            <span class="n">n</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span>
+                <span class="n">da</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span><span class="o">.</span><span class="n">time_index</span><span class="p">)</span> <span class="o">/</span> <span class="n">cs_ghi</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
+            <span class="p">)</span>
+            <span class="n">cs_ghi</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">repeat</span><span class="p">(</span><span class="n">cs_ghi</span><span class="p">,</span> <span class="n">n</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+
+        <span class="n">cs_ghi</span> <span class="o">=</span> <span class="n">cs_ghi</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="p">:</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">rasterizer</span><span class="o">.</span><span class="n">time_index</span><span class="p">)]</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">run_wrap_checks</span><span class="p">(</span><span class="n">cs_ghi</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">cs_ghi</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="DataHandlerNCforCCwithPowerLaw">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw">[docs]</a>
+<span class="k">class</span> <span class="nc">DataHandlerNCforCCwithPowerLaw</span><span class="p">(</span><span class="n">DataHandlerNCforCC</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Add power law wind methods to feature registry.&quot;&quot;&quot;</span>
+
+    <span class="n">FEATURE_REGISTRY</span> <span class="o">=</span> <span class="n">RegistryNCforCCwithPowerLaw</span></div>
+
+</pre></div>
+
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+  <h1>Source code for sup3r.preprocessing.derivers.base</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Basic objects that can perform derivations of new features from loaded /</span>
+<span class="sd">rasterized features.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">re</span>
+<span class="kn">from</span> <span class="nn">inspect</span> <span class="kn">import</span> <span class="n">signature</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Type</span><span class="p">,</span> <span class="n">Union</span>
+
+<span class="kn">import</span> <span class="nn">dask.array</span> <span class="k">as</span> <span class="nn">da</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">xarray</span> <span class="k">as</span> <span class="nn">xr</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.accessor</span> <span class="kn">import</span> <span class="n">Sup3rX</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.base</span> <span class="kn">import</span> <span class="n">Container</span><span class="p">,</span> <span class="n">Sup3rDataset</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.names</span> <span class="kn">import</span> <span class="n">Dimension</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">_rechunk_if_dask</span><span class="p">,</span>
+    <span class="n">parse_to_list</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.interpolation</span> <span class="kn">import</span> <span class="n">Interpolator</span>
+
+<span class="kn">from</span> <span class="nn">.methods</span> <span class="kn">import</span> <span class="n">DerivedFeature</span><span class="p">,</span> <span class="n">RegistryBase</span>
+<span class="kn">from</span> <span class="nn">.utilities</span> <span class="kn">import</span> <span class="n">parse_feature</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="BaseDeriver">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver">[docs]</a>
+<span class="k">class</span> <span class="nc">BaseDeriver</span><span class="p">(</span><span class="n">Container</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Container subclass with additional methods for transforming / deriving</span>
+<span class="sd">    data exposed through an :class:`Rasterizer` object.&quot;&quot;&quot;</span>
+
+    <span class="n">FEATURE_REGISTRY</span> <span class="o">=</span> <span class="n">RegistryBase</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">data</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">Sup3rX</span><span class="p">,</span> <span class="n">Sup3rDataset</span><span class="p">],</span>
+        <span class="n">features</span><span class="p">,</span>
+        <span class="n">FeatureRegistry</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">interp_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        data : Union[Sup3rX, Sup3rDataset]</span>
+<span class="sd">            Data to use for derivations. Usually comes from the `.data`</span>
+<span class="sd">            attribute of a :class:`Rasterizer` object.</span>
+<span class="sd">        features : list</span>
+<span class="sd">            List of feature names to derive from the :class:`Rasterizer` data.</span>
+<span class="sd">            The :class:`Rasterizer` object contains the features available to</span>
+<span class="sd">            use in the derivation. e.g. rasterizer.features = [&#39;windspeed&#39;,</span>
+<span class="sd">            &#39;winddirection&#39;] with self.features = [&#39;U&#39;, &#39;V&#39;]</span>
+<span class="sd">        FeatureRegistry : Dict</span>
+<span class="sd">            Optional FeatureRegistry dictionary to use for derivation method</span>
+<span class="sd">            lookups. When the :class:`Deriver` is asked to derive a feature</span>
+<span class="sd">            that is not found in the :class:`Rasterizer` data it will look for</span>
+<span class="sd">            a method to derive the feature in the registry.</span>
+<span class="sd">        interp_kwargs : dict | None</span>
+<span class="sd">            Dictionary of kwargs for level interpolation. Can include &quot;method&quot;</span>
+<span class="sd">            and &quot;run_level_check&quot; keys. Method specifies how to perform height</span>
+<span class="sd">            interpolation. e.g. Deriving u_20m from u_10m and u_100m. Options</span>
+<span class="sd">            are &quot;linear&quot; and &quot;log&quot;. See</span>
+<span class="sd">            :py:meth:`sup3r.preprocessing.derivers.Deriver.do_level_interpolation`</span>
+<span class="sd">        &quot;&quot;&quot;</span>  <span class="c1"># pylint: disable=line-too-long</span>
+        <span class="k">if</span> <span class="n">FeatureRegistry</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">FEATURE_REGISTRY</span> <span class="o">=</span> <span class="n">FeatureRegistry</span>
+
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">interp_kwargs</span> <span class="o">=</span> <span class="n">interp_kwargs</span>
+        <span class="n">features</span> <span class="o">=</span> <span class="n">parse_to_list</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span> <span class="n">features</span><span class="o">=</span><span class="n">features</span><span class="p">)</span>
+        <span class="n">new_features</span> <span class="o">=</span> <span class="p">[</span><span class="n">f</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">features</span> <span class="k">if</span> <span class="n">f</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">]</span>
+        <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">new_features</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">f</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">derive</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Finished deriving </span><span class="si">%s</span><span class="s1">.&#39;</span><span class="p">,</span> <span class="n">f</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">data</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="nb">list</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">coords</span><span class="p">)]</span>
+            <span class="k">if</span> <span class="ow">not</span> <span class="n">features</span>
+            <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span>
+            <span class="k">if</span> <span class="n">features</span> <span class="o">==</span> <span class="s1">&#39;all&#39;</span>
+            <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">features</span><span class="p">]</span>
+        <span class="p">)</span>
+
+    <span class="k">def</span> <span class="nf">_check_registry</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">feature</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Union</span><span class="p">[</span><span class="n">Type</span><span class="p">[</span><span class="n">DerivedFeature</span><span class="p">],</span> <span class="kc">None</span><span class="p">]:</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if feature or matching pattern is in the feature registry</span>
+<span class="sd">        keys. Return the corresponding value if found.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">feature</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">FEATURE_REGISTRY</span><span class="p">:</span>
+            <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">FEATURE_REGISTRY</span><span class="p">[</span><span class="n">feature</span><span class="o">.</span><span class="n">lower</span><span class="p">()]</span>
+        <span class="k">for</span> <span class="n">pattern</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">FEATURE_REGISTRY</span><span class="p">:</span>
+            <span class="k">if</span> <span class="n">re</span><span class="o">.</span><span class="n">match</span><span class="p">(</span><span class="n">pattern</span><span class="o">.</span><span class="n">lower</span><span class="p">(),</span> <span class="n">feature</span><span class="o">.</span><span class="n">lower</span><span class="p">()):</span>
+                <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">FEATURE_REGISTRY</span><span class="p">[</span><span class="n">pattern</span><span class="p">]</span>
+        <span class="k">return</span> <span class="kc">None</span>
+
+    <span class="k">def</span> <span class="nf">_get_inputs</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">feature</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get method inputs and map any wildcards to height or pressure</span>
+<span class="sd">        (depending on the name of &quot;feature&quot;)&quot;&quot;&quot;</span>
+        <span class="n">method</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_check_registry</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span>
+        <span class="n">fstruct</span> <span class="o">=</span> <span class="n">parse_feature</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span>
+        <span class="k">return</span> <span class="p">[</span><span class="n">fstruct</span><span class="o">.</span><span class="n">map_wildcard</span><span class="p">(</span><span class="n">i</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">method</span><span class="p">,</span> <span class="s1">&#39;inputs&#39;</span><span class="p">,</span> <span class="p">[])]</span>
+
+<div class="viewcode-block" id="BaseDeriver.get_inputs">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver.get_inputs">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_inputs</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">feature</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get inputs for the given feature and inputs for those inputs.&quot;&quot;&quot;</span>
+        <span class="n">inputs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_inputs</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span>
+        <span class="n">more_inputs</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">for</span> <span class="n">inp</span> <span class="ow">in</span> <span class="n">inputs</span><span class="p">:</span>
+            <span class="n">more_inputs</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_get_inputs</span><span class="p">(</span><span class="n">inp</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">inputs</span> <span class="o">+</span> <span class="n">more_inputs</span></div>
+
+
+<div class="viewcode-block" id="BaseDeriver.no_overlap">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver.no_overlap">[docs]</a>
+    <span class="k">def</span> <span class="nf">no_overlap</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">feature</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if any of the nested inputs for &#39;feature&#39; contain &#39;feature&#39;&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="n">feature</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_inputs</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="BaseDeriver.check_registry">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver.check_registry">[docs]</a>
+    <span class="k">def</span> <span class="nf">check_registry</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span> <span class="n">feature</span>
+    <span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Union</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">da</span><span class="o">.</span><span class="n">core</span><span class="o">.</span><span class="n">Array</span><span class="p">,</span> <span class="nb">str</span><span class="p">,</span> <span class="kc">None</span><span class="p">]:</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get compute method from the registry if available. Will check for</span>
+<span class="sd">        pattern feature match in feature registry. e.g. if u_100m matches a</span>
+<span class="sd">        feature registry entry of u_(.*)m</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">method</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_check_registry</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">method</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+            <span class="k">return</span> <span class="n">method</span>
+        <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">method</span><span class="p">,</span> <span class="s1">&#39;inputs&#39;</span><span class="p">):</span>
+            <span class="n">fstruct</span> <span class="o">=</span> <span class="n">parse_feature</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span>
+            <span class="n">inputs</span> <span class="o">=</span> <span class="p">[</span><span class="n">fstruct</span><span class="o">.</span><span class="n">map_wildcard</span><span class="p">(</span><span class="n">i</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">method</span><span class="o">.</span><span class="n">inputs</span><span class="p">]</span>
+            <span class="n">missing</span> <span class="o">=</span> <span class="p">[</span><span class="n">f</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">inputs</span> <span class="k">if</span> <span class="n">f</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">]</span>
+            <span class="n">can_derive</span> <span class="o">=</span> <span class="nb">all</span><span class="p">(</span>
+                <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">no_overlap</span><span class="p">(</span><span class="n">m</span><span class="p">)</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">has_interp_variables</span><span class="p">(</span><span class="n">m</span><span class="p">))</span>
+                <span class="k">for</span> <span class="n">m</span> <span class="ow">in</span> <span class="n">missing</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Found compute method (</span><span class="si">%s</span><span class="s1">) for </span><span class="si">%s</span><span class="s1">.&#39;</span><span class="p">,</span> <span class="n">method</span><span class="p">,</span> <span class="n">feature</span><span class="p">)</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;Missing required features </span><span class="si">%s</span><span class="s1">. Trying to derive these first.&#39;</span>
+            <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">missing</span><span class="p">)</span> <span class="ow">and</span> <span class="n">can_derive</span><span class="p">:</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="n">msg</span><span class="p">,</span> <span class="n">missing</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">missing</span><span class="p">:</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">f</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">derive</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
+                <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_run_compute</span><span class="p">(</span><span class="n">feature</span><span class="p">,</span> <span class="n">method</span><span class="p">)</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;All required features </span><span class="si">%s</span><span class="s1"> found. Proceeding.&#39;</span>
+            <span class="k">if</span> <span class="ow">not</span> <span class="n">missing</span><span class="p">:</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="n">msg</span><span class="p">,</span> <span class="n">inputs</span><span class="p">)</span>
+                <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_run_compute</span><span class="p">(</span><span class="n">feature</span><span class="p">,</span> <span class="n">method</span><span class="p">)</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;Some of the method inputs reference </span><span class="si">%s</span><span class="s1"> itself. We will &#39;</span>
+                   <span class="s1">&#39;try height interpolation instead.&#39;</span><span class="p">)</span>
+            <span class="k">if</span> <span class="ow">not</span> <span class="n">can_derive</span><span class="p">:</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="n">msg</span><span class="p">,</span> <span class="n">feature</span><span class="p">)</span>
+        <span class="k">return</span> <span class="kc">None</span></div>
+
+
+    <span class="k">def</span> <span class="nf">_run_compute</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">feature</span><span class="p">,</span> <span class="n">method</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;If we have all the inputs we can run the compute method.&quot;&quot;&quot;</span>
+        <span class="n">compute</span> <span class="o">=</span> <span class="n">method</span><span class="o">.</span><span class="n">compute</span>
+        <span class="n">params</span> <span class="o">=</span> <span class="n">signature</span><span class="p">(</span><span class="n">compute</span><span class="p">)</span><span class="o">.</span><span class="n">parameters</span>
+        <span class="n">fstruct</span> <span class="o">=</span> <span class="n">parse_feature</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span>
+        <span class="n">kwargs</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="n">k</span><span class="p">:</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">fstruct</span><span class="p">,</span> <span class="n">k</span><span class="p">)</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">params</span> <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">fstruct</span><span class="p">,</span> <span class="n">k</span><span class="p">)</span>
+        <span class="p">}</span>
+        <span class="k">return</span> <span class="n">compute</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+<div class="viewcode-block" id="BaseDeriver.map_new_name">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver.map_new_name">[docs]</a>
+    <span class="k">def</span> <span class="nf">map_new_name</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">feature</span><span class="p">,</span> <span class="n">pattern</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;If the search for a derivation method first finds an alternative</span>
+<span class="sd">        name for the feature we want to derive, by matching a wildcard pattern,</span>
+<span class="sd">        we need to replace the wildcard with the specific height or pressure we</span>
+<span class="sd">        want and continue the search for a derivation method with this new</span>
+<span class="sd">        name.&quot;&quot;&quot;</span>
+        <span class="n">fstruct</span> <span class="o">=</span> <span class="n">parse_feature</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span>
+        <span class="n">pstruct</span> <span class="o">=</span> <span class="n">parse_feature</span><span class="p">(</span><span class="n">pattern</span><span class="p">)</span>
+        <span class="k">if</span> <span class="s1">&#39;*&#39;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">pattern</span><span class="p">:</span>
+            <span class="n">new_feature</span> <span class="o">=</span> <span class="n">pattern</span>
+        <span class="k">elif</span> <span class="n">fstruct</span><span class="o">.</span><span class="n">height</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">new_feature</span> <span class="o">=</span> <span class="n">pstruct</span><span class="o">.</span><span class="n">basename</span> <span class="o">+</span> <span class="sa">f</span><span class="s1">&#39;_</span><span class="si">{</span><span class="n">fstruct</span><span class="o">.</span><span class="n">height</span><span class="si">}</span><span class="s1">m&#39;</span>
+        <span class="k">elif</span> <span class="n">fstruct</span><span class="o">.</span><span class="n">pressure</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">new_feature</span> <span class="o">=</span> <span class="n">pstruct</span><span class="o">.</span><span class="n">basename</span> <span class="o">+</span> <span class="sa">f</span><span class="s1">&#39;_</span><span class="si">{</span><span class="n">fstruct</span><span class="o">.</span><span class="n">pressure</span><span class="si">}</span><span class="s1">pa&#39;</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Found matching pattern &quot;</span><span class="si">%s</span><span class="s1">&quot; for feature &quot;</span><span class="si">%s</span><span class="s1">&quot; but could not &#39;</span>
+                <span class="s1">&#39;construct a valid new feature name&#39;</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">,</span> <span class="n">pattern</span><span class="p">,</span> <span class="n">feature</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+            <span class="s1">&#39;Found alternative name &quot;</span><span class="si">%s</span><span class="s1">&quot; for &quot;</span><span class="si">%s</span><span class="s1">&quot;. Continuing derivation &#39;</span>
+            <span class="s1">&#39;for </span><span class="si">%s</span><span class="s1">.&#39;</span><span class="p">,</span>
+            <span class="n">feature</span><span class="p">,</span>
+            <span class="n">new_feature</span><span class="p">,</span>
+            <span class="n">new_feature</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="n">new_feature</span></div>
+
+
+<div class="viewcode-block" id="BaseDeriver.has_interp_variables">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver.has_interp_variables">[docs]</a>
+    <span class="k">def</span> <span class="nf">has_interp_variables</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">feature</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if the given feature can be interpolated from values at nearby</span>
+<span class="sd">        heights or from pressure level data. e.g. If ``u_10m`` and ``u_50m``</span>
+<span class="sd">        exist then ``u_30m`` can be interpolated from these. If a pressure</span>
+<span class="sd">        level array ``u`` is available this can also be used, in conjunction</span>
+<span class="sd">        with height data.&quot;&quot;&quot;</span>
+        <span class="n">fstruct</span> <span class="o">=</span> <span class="n">parse_feature</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span>
+        <span class="n">count</span> <span class="o">=</span> <span class="mi">0</span>
+        <span class="k">for</span> <span class="n">feat</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">features</span><span class="p">:</span>
+            <span class="n">fstruct_check</span> <span class="o">=</span> <span class="n">parse_feature</span><span class="p">(</span><span class="n">feat</span><span class="p">)</span>
+            <span class="n">height</span> <span class="o">=</span> <span class="n">fstruct_check</span><span class="o">.</span><span class="n">height</span>
+
+            <span class="k">if</span> <span class="p">(</span>
+                <span class="n">fstruct_check</span><span class="o">.</span><span class="n">basename</span> <span class="o">==</span> <span class="n">fstruct</span><span class="o">.</span><span class="n">basename</span>
+                <span class="ow">and</span> <span class="n">height</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+            <span class="p">):</span>
+                <span class="n">count</span> <span class="o">+=</span> <span class="mi">1</span>
+        <span class="k">return</span> <span class="n">count</span> <span class="o">&gt;</span> <span class="mi">1</span> <span class="ow">or</span> <span class="n">fstruct</span><span class="o">.</span><span class="n">basename</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span></div>
+
+
+<div class="viewcode-block" id="BaseDeriver.derive">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver.derive">[docs]</a>
+    <span class="k">def</span> <span class="nf">derive</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">feature</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Union</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">da</span><span class="o">.</span><span class="n">core</span><span class="o">.</span><span class="n">Array</span><span class="p">]:</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Routine to derive requested features. Employs a little recursion to</span>
+<span class="sd">        locate differently named features with a name map in the feature</span>
+<span class="sd">        registry. i.e. if  `FEATURE_REGISTRY` contains a key, value pair like</span>
+<span class="sd">        &quot;windspeed&quot;: &quot;wind_speed&quot; then requesting &quot;windspeed&quot; will ultimately</span>
+<span class="sd">        return a compute method (or fetch from raw data) for &quot;wind_speed</span>
+
+<span class="sd">        Note</span>
+<span class="sd">        ----</span>
+<span class="sd">        Features are all saved as lower case names and __contains__ checks will</span>
+<span class="sd">        use feature.lower()</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">feature</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">:</span>
+            <span class="n">compute_check</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">check_registry</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span>
+            <span class="k">if</span> <span class="n">compute_check</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">compute_check</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+                <span class="n">new_feature</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">map_new_name</span><span class="p">(</span><span class="n">feature</span><span class="p">,</span> <span class="n">compute_check</span><span class="p">)</span>
+                <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">derive</span><span class="p">(</span><span class="n">new_feature</span><span class="p">)</span>
+
+            <span class="k">if</span> <span class="n">compute_check</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+                <span class="k">return</span> <span class="n">compute_check</span>
+
+            <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">has_interp_variables</span><span class="p">(</span><span class="n">feature</span><span class="p">):</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                    <span class="s1">&#39;Attempting level interpolation for &quot;</span><span class="si">%s</span><span class="s1">&quot;&#39;</span><span class="p">,</span> <span class="n">feature</span>
+                <span class="p">)</span>
+                <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">do_level_interpolation</span><span class="p">(</span>
+                    <span class="n">feature</span><span class="p">,</span> <span class="n">interp_kwargs</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">interp_kwargs</span>
+                <span class="p">)</span>
+
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Could not find &quot;</span><span class="si">%s</span><span class="s1">&quot; in contained data or in the available &#39;</span>
+                <span class="s1">&#39;compute methods.&#39;</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">,</span> <span class="n">feature</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span> <span class="o">%</span> <span class="n">feature</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span></div>
+
+
+<div class="viewcode-block" id="BaseDeriver.get_single_level_data">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver.get_single_level_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_single_level_data</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">feature</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;When doing level interpolation we should include the single level</span>
+<span class="sd">        data available. e.g. If we have u_100m already and want to interpolate</span>
+<span class="sd">        u_40m from multi-level data U we should add u_100m at height 100m</span>
+<span class="sd">        before doing interpolation, since 100 could be a closer level to 40m</span>
+<span class="sd">        than those available in U.&quot;&quot;&quot;</span>
+        <span class="n">fstruct</span> <span class="o">=</span> <span class="n">parse_feature</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span>
+        <span class="n">pattern</span> <span class="o">=</span> <span class="n">fstruct</span><span class="o">.</span><span class="n">basename</span> <span class="o">+</span> <span class="s1">&#39;_(.*)&#39;</span>
+        <span class="n">var_list</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">lev_list</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">lev_array</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="n">var_array</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="nb">list</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">data_vars</span><span class="p">):</span>
+            <span class="k">if</span> <span class="n">re</span><span class="o">.</span><span class="n">match</span><span class="p">(</span><span class="n">pattern</span><span class="o">.</span><span class="n">lower</span><span class="p">(),</span> <span class="n">f</span><span class="p">):</span>
+                <span class="n">var_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">f</span><span class="p">])</span>
+                <span class="n">pstruct</span> <span class="o">=</span> <span class="n">parse_feature</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
+                <span class="n">lev</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="n">pstruct</span><span class="o">.</span><span class="n">height</span>
+                    <span class="k">if</span> <span class="n">pstruct</span><span class="o">.</span><span class="n">height</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+                    <span class="k">else</span> <span class="n">pstruct</span><span class="o">.</span><span class="n">pressure</span>
+                <span class="p">)</span>
+                <span class="n">lev_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">(</span><span class="n">lev</span><span class="p">))</span>
+
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">var_list</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="n">var_array</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">stack</span><span class="p">(</span><span class="n">var_list</span><span class="p">,</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+            <span class="n">sl_shape</span> <span class="o">=</span> <span class="p">(</span><span class="o">*</span><span class="n">var_array</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="nb">len</span><span class="p">(</span><span class="n">lev_list</span><span class="p">))</span>
+            <span class="n">lev_array</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">broadcast_to</span><span class="p">(</span><span class="n">da</span><span class="o">.</span><span class="n">from_array</span><span class="p">(</span><span class="n">lev_list</span><span class="p">),</span> <span class="n">sl_shape</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">var_array</span><span class="p">,</span> <span class="n">lev_array</span></div>
+
+
+<div class="viewcode-block" id="BaseDeriver.get_multi_level_data">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver.get_multi_level_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_multi_level_data</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">feature</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get data stored in multi-level arrays, like u stored on pressure</span>
+<span class="sd">        levels.&quot;&quot;&quot;</span>
+        <span class="n">fstruct</span> <span class="o">=</span> <span class="n">parse_feature</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span>
+        <span class="n">var_array</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="n">lev_array</span> <span class="o">=</span> <span class="kc">None</span>
+
+        <span class="k">if</span> <span class="n">fstruct</span><span class="o">.</span><span class="n">basename</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">:</span>
+            <span class="n">var_array</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">fstruct</span><span class="o">.</span><span class="n">basename</span><span class="p">]</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">fstruct</span><span class="o">.</span><span class="n">height</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">var_array</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;To interpolate </span><span class="si">{</span><span class="n">fstruct</span><span class="o">.</span><span class="n">basename</span><span class="si">}</span><span class="s1"> to </span><span class="si">{</span><span class="n">feature</span><span class="si">}</span><span class="s1"> the loaded &#39;</span>
+                <span class="s1">&#39;data needs to include &quot;zg&quot; and &quot;topography&quot; or have a &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;&quot;</span><span class="si">{</span><span class="n">Dimension</span><span class="o">.</span><span class="n">HEIGHT</span><span class="si">}</span><span class="s1">&quot; dimension.&#39;</span>
+            <span class="p">)</span>
+            <span class="n">can_calc_height</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;zg&#39;</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">features</span>
+                <span class="ow">and</span> <span class="s1">&#39;topography&#39;</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">features</span>
+            <span class="p">)</span>
+            <span class="n">have_height</span> <span class="o">=</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">HEIGHT</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">dims</span>
+            <span class="k">assert</span> <span class="n">can_calc_height</span> <span class="ow">or</span> <span class="n">have_height</span><span class="p">,</span> <span class="n">msg</span>
+
+            <span class="k">if</span> <span class="n">can_calc_height</span><span class="p">:</span>
+                <span class="n">lev_array</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[[</span><span class="s1">&#39;zg&#39;</span><span class="p">,</span> <span class="s1">&#39;topography&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">as_array</span><span class="p">()</span>
+                <span class="n">lev_array</span> <span class="o">=</span> <span class="n">lev_array</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">lev_array</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">lev_array</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">broadcast_to</span><span class="p">(</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">HEIGHT</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">),</span>
+                    <span class="n">var_array</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span>
+                <span class="p">)</span>
+        <span class="k">elif</span> <span class="n">var_array</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;To interpolate </span><span class="si">{</span><span class="n">fstruct</span><span class="o">.</span><span class="n">basename</span><span class="si">}</span><span class="s1"> to </span><span class="si">{</span><span class="n">feature</span><span class="si">}</span><span class="s1"> the loaded &#39;</span>
+                <span class="s1">&#39;data needs to include &quot;level&quot; (a.k.a pressure at multiple &#39;</span>
+                <span class="s1">&#39;levels).&#39;</span>
+            <span class="p">)</span>
+            <span class="k">assert</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">PRESSURE_LEVEL</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">,</span> <span class="n">msg</span>
+            <span class="n">lev_array</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">broadcast_to</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">PRESSURE_LEVEL</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">),</span>
+                <span class="n">var_array</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="n">var_array</span><span class="p">,</span> <span class="n">lev_array</span></div>
+
+
+<div class="viewcode-block" id="BaseDeriver.do_level_interpolation">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver.do_level_interpolation">[docs]</a>
+    <span class="k">def</span> <span class="nf">do_level_interpolation</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span> <span class="n">feature</span><span class="p">,</span> <span class="n">interp_kwargs</span><span class="o">=</span><span class="kc">None</span>
+    <span class="p">)</span> <span class="o">-&gt;</span> <span class="n">xr</span><span class="o">.</span><span class="n">DataArray</span><span class="p">:</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Interpolate over height or pressure to derive the given feature.&quot;&quot;&quot;</span>
+        <span class="n">ml_var</span><span class="p">,</span> <span class="n">ml_levs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_multi_level_data</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span>
+        <span class="n">sl_var</span><span class="p">,</span> <span class="n">sl_levs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_single_level_data</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span>
+
+        <span class="n">fstruct</span> <span class="o">=</span> <span class="n">parse_feature</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span>
+        <span class="n">attrs</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="k">for</span> <span class="n">feat</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">features</span><span class="p">:</span>
+            <span class="k">if</span> <span class="n">parse_feature</span><span class="p">(</span><span class="n">feat</span><span class="p">)</span><span class="o">.</span><span class="n">basename</span> <span class="o">==</span> <span class="n">fstruct</span><span class="o">.</span><span class="n">basename</span><span class="p">:</span>
+                <span class="n">attrs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">feat</span><span class="p">]</span><span class="o">.</span><span class="n">attrs</span>
+
+        <span class="n">level</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="p">[</span><span class="n">fstruct</span><span class="o">.</span><span class="n">height</span><span class="p">]</span>
+            <span class="k">if</span> <span class="n">fstruct</span><span class="o">.</span><span class="n">height</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+            <span class="k">else</span> <span class="p">[</span><span class="n">fstruct</span><span class="o">.</span><span class="n">pressure</span><span class="p">]</span>
+        <span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">ml_var</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">sl_var</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">var_array</span> <span class="o">=</span> <span class="n">ml_var</span>
+            <span class="n">lev_array</span> <span class="o">=</span> <span class="n">ml_levs</span>
+        <span class="k">elif</span> <span class="n">sl_var</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">ml_var</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">var_array</span> <span class="o">=</span> <span class="n">sl_var</span>
+            <span class="n">lev_array</span> <span class="o">=</span> <span class="n">sl_levs</span>
+        <span class="k">elif</span> <span class="n">ml_var</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">sl_var</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">var_array</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">([</span><span class="n">ml_var</span><span class="p">,</span> <span class="n">sl_var</span><span class="p">],</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+            <span class="n">lev_array</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">([</span><span class="n">ml_levs</span><span class="p">,</span> <span class="n">sl_levs</span><span class="p">],</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;Neither single level nor multi level data was found for </span><span class="si">%s</span><span class="s1">&#39;</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">,</span> <span class="n">feature</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span> <span class="o">%</span> <span class="n">feature</span><span class="p">)</span>
+
+        <span class="n">out</span> <span class="o">=</span> <span class="n">Interpolator</span><span class="o">.</span><span class="n">interp_to_level</span><span class="p">(</span>
+            <span class="n">lev_array</span><span class="o">=</span><span class="n">lev_array</span><span class="p">,</span>
+            <span class="n">var_array</span><span class="o">=</span><span class="n">var_array</span><span class="p">,</span>
+            <span class="n">level</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">(</span><span class="n">level</span><span class="p">),</span>
+            <span class="n">interp_kwargs</span><span class="o">=</span><span class="n">interp_kwargs</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="n">xr</span><span class="o">.</span><span class="n">DataArray</span><span class="p">(</span>
+            <span class="n">data</span><span class="o">=</span><span class="n">_rechunk_if_dask</span><span class="p">(</span><span class="n">out</span><span class="p">),</span>
+            <span class="n">dims</span><span class="o">=</span><span class="n">Dimension</span><span class="o">.</span><span class="n">dims_3d</span><span class="p">()[:</span> <span class="nb">len</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">shape</span><span class="p">)],</span>
+            <span class="n">attrs</span><span class="o">=</span><span class="n">attrs</span><span class="p">,</span>
+        <span class="p">)</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="Deriver">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.base.Deriver.html#sup3r.preprocessing.derivers.base.Deriver">[docs]</a>
+<span class="k">class</span> <span class="nc">Deriver</span><span class="p">(</span><span class="n">BaseDeriver</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Extends base :class:`BaseDeriver` class with time_roll and</span>
+<span class="sd">    hr_spatial_coarsen args.&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">data</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">Sup3rX</span><span class="p">,</span> <span class="n">Sup3rDataset</span><span class="p">],</span>
+        <span class="n">features</span><span class="p">,</span>
+        <span class="n">time_roll</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
+        <span class="n">time_shift</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">hr_spatial_coarsen</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+        <span class="n">nan_method_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">FeatureRegistry</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">interp_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        data : Union[Sup3rX, Sup3rDataset]</span>
+<span class="sd">            Data used for derivations</span>
+<span class="sd">        features: list</span>
+<span class="sd">            List of features to derive</span>
+<span class="sd">        time_roll: int</span>
+<span class="sd">            Number of steps to roll along the time axis. `Passed to</span>
+<span class="sd">            xr.Dataset.roll()`</span>
+<span class="sd">        time_shift: int | None</span>
+<span class="sd">            Number of minutes to shift time axis. This can be used, for</span>
+<span class="sd">            example, to shift the time index for daily data so that the time</span>
+<span class="sd">            stamp for a given day starts at the zeroth minute instead of at</span>
+<span class="sd">            noon, as is the case for most GCM data.</span>
+<span class="sd">        hr_spatial_coarsen: int</span>
+<span class="sd">            Spatial coarsening factor. Passed to `xr.Dataset.coarsen()`</span>
+<span class="sd">        nan_method_kwargs: str | dict | None</span>
+<span class="sd">            Keyword arguments for nan handling. If &#39;mask&#39;, time steps with nans</span>
+<span class="sd">            will be dropped. Otherwise this should be a dict of kwargs which</span>
+<span class="sd">            will be passed to :meth:`Sup3rX.interpolate_na`.</span>
+<span class="sd">        FeatureRegistry : dict</span>
+<span class="sd">            Dictionary of :class:`DerivedFeature` objects used for derivations</span>
+<span class="sd">        interp_kwargs : dict | None</span>
+<span class="sd">            Dictionary of kwargs for level interpolation. Can include &quot;method&quot;</span>
+<span class="sd">            and &quot;run_level_check&quot; keys. Method specifies how to perform height</span>
+<span class="sd">            interpolation. e.g. Deriving u_20m from u_10m and u_100m. Options</span>
+<span class="sd">            are &quot;linear&quot; and &quot;log&quot;. See</span>
+<span class="sd">            :py:meth:`sup3r.preprocessing.derivers.Deriver.do_level_interpolation`</span>
+<span class="sd">        &quot;&quot;&quot;</span>  <span class="c1"># pylint: disable=line-too-long</span>
+
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span>
+            <span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span>
+            <span class="n">features</span><span class="o">=</span><span class="n">features</span><span class="p">,</span>
+            <span class="n">FeatureRegistry</span><span class="o">=</span><span class="n">FeatureRegistry</span><span class="p">,</span>
+            <span class="n">interp_kwargs</span><span class="o">=</span><span class="n">interp_kwargs</span><span class="p">,</span>
+        <span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">time_roll</span> <span class="o">!=</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Applying time_roll=</span><span class="si">%s</span><span class="s1"> to data array&#39;</span><span class="p">,</span> <span class="n">time_roll</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">roll</span><span class="p">(</span><span class="o">**</span><span class="p">{</span><span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">:</span> <span class="n">time_roll</span><span class="p">})</span>
+
+        <span class="k">if</span> <span class="n">time_shift</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Applying time_shift=</span><span class="si">%s</span><span class="s1"> to time index&#39;</span><span class="p">,</span> <span class="n">time_shift</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">time_index</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">time_index</span><span class="o">.</span><span class="n">shift</span><span class="p">(</span>
+                <span class="n">time_shift</span><span class="p">,</span> <span class="n">freq</span><span class="o">=</span><span class="s1">&#39;min&#39;</span>
+            <span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">hr_spatial_coarsen</span> <span class="o">&gt;</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                <span class="s1">&#39;Applying hr_spatial_coarsen=</span><span class="si">%s</span><span class="s1"> to data.&#39;</span><span class="p">,</span> <span class="n">hr_spatial_coarsen</span>
+            <span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">coarsen</span><span class="p">(</span>
+                <span class="p">{</span>
+                    <span class="n">Dimension</span><span class="o">.</span><span class="n">SOUTH_NORTH</span><span class="p">:</span> <span class="n">hr_spatial_coarsen</span><span class="p">,</span>
+                    <span class="n">Dimension</span><span class="o">.</span><span class="n">WEST_EAST</span><span class="p">:</span> <span class="n">hr_spatial_coarsen</span><span class="p">,</span>
+                <span class="p">},</span>
+                <span class="n">boundary</span><span class="o">=</span><span class="s1">&#39;trim&#39;</span><span class="p">,</span>
+            <span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
+
+        <span class="k">if</span> <span class="n">nan_method_kwargs</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">if</span> <span class="n">nan_method_kwargs</span><span class="p">[</span><span class="s1">&#39;method&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;mask&#39;</span><span class="p">:</span>
+                <span class="n">dim</span> <span class="o">=</span> <span class="n">nan_method_kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;dim&#39;</span><span class="p">,</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">)</span>
+                <span class="n">arr</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">to_dataarray</span><span class="p">()</span>
+                <span class="n">dims</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="n">arr</span><span class="o">.</span><span class="n">dims</span><span class="p">)</span> <span class="o">-</span> <span class="p">{</span><span class="n">dim</span><span class="p">}</span>
+                <span class="n">mask</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">arr</span><span class="p">)</span><span class="o">.</span><span class="n">any</span><span class="p">(</span><span class="n">dims</span><span class="p">)</span><span class="o">.</span><span class="n">data</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">drop_isel</span><span class="p">(</span><span class="o">**</span><span class="p">{</span><span class="n">dim</span><span class="p">:</span> <span class="n">mask</span><span class="p">})</span>
+
+            <span class="k">elif</span> <span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">as_array</span><span class="p">())</span><span class="o">.</span><span class="n">any</span><span class="p">():</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="sa">f</span><span class="s1">&#39;Filling nan values with nan_method_kwargs=&#39;</span>
+                    <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">nan_method_kwargs</span><span class="si">}</span><span class="s1">&#39;</span>
+                <span class="p">)</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">interpolate_na</span><span class="p">(</span><span class="o">**</span><span class="n">nan_method_kwargs</span><span class="p">)</span></div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.preprocessing.derivers.methods</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Derivation methods for deriving features from raw data.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">copy</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">from</span> <span class="nn">abc</span> <span class="kn">import</span> <span class="n">ABC</span><span class="p">,</span> <span class="n">abstractmethod</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Union</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.accessor</span> <span class="kn">import</span> <span class="n">Sup3rX</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.base</span> <span class="kn">import</span> <span class="n">Sup3rDataset</span>
+
+<span class="kn">from</span> <span class="nn">.utilities</span> <span class="kn">import</span> <span class="n">SolarZenith</span><span class="p">,</span> <span class="n">invert_uv</span><span class="p">,</span> <span class="n">transform_rotate_wind</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="DerivedFeature">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.DerivedFeature.html#sup3r.preprocessing.derivers.methods.DerivedFeature">[docs]</a>
+<span class="k">class</span> <span class="nc">DerivedFeature</span><span class="p">(</span><span class="n">ABC</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Abstract class for special features which need to be derived from raw</span>
+<span class="sd">    features</span>
+
+<span class="sd">    Note</span>
+<span class="sd">    ----</span>
+<span class="sd">    `inputs` list will be used to search already derived / loaded data so this</span>
+<span class="sd">    should include all features required for a successful `.compute` call.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">inputs</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="o">...</span><span class="p">]</span> <span class="o">=</span> <span class="p">()</span>
+
+<div class="viewcode-block" id="DerivedFeature.compute">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.DerivedFeature.html#sup3r.preprocessing.derivers.methods.DerivedFeature.compute">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="nd">@abstractmethod</span>
+    <span class="k">def</span> <span class="nf">compute</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">data</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">Sup3rX</span><span class="p">,</span> <span class="n">Sup3rDataset</span><span class="p">],</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Compute method for derived feature. This can use any of the features</span>
+<span class="sd">        contained in the xr.Dataset data and the attributes (e.g.</span>
+<span class="sd">        `.lat_lon`, `.time_index` accessed through Sup3rX accessor).</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        data : Union[Sup3rX, Sup3rDataset]</span>
+<span class="sd">            Initialized and standardized through a :class:`Loader` with a</span>
+<span class="sd">            specific spatiotemporal extent rasterized for the features</span>
+<span class="sd">            contained using a :class:`Rasterizer`.</span>
+<span class="sd">        kwargs : dict</span>
+<span class="sd">            Optional keyword arguments used in derivation. height is a typical</span>
+<span class="sd">            example. Could also be pressure.</span>
+<span class="sd">        &quot;&quot;&quot;</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="SurfaceRH">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.SurfaceRH.html#sup3r.preprocessing.derivers.methods.SurfaceRH">[docs]</a>
+<span class="k">class</span> <span class="nc">SurfaceRH</span><span class="p">(</span><span class="n">DerivedFeature</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Surface Relative humidity feature for computing rh from dewpoint</span>
+<span class="sd">    temperature and ambient temperature. This is in a 0 - 100 scale to match</span>
+<span class="sd">    the ERA5 pressure level relative humidity scale.</span>
+
+<span class="sd">    https://earthscience.stackexchange.com/questions/24156/era5-single-level-calculate-relative-humidity</span>
+
+<span class="sd">    https://journals.ametsoc.org/view/journals/bams/86/2/bams-86-2-225.xml?tab_body=pdf</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">inputs</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;d2m&#39;</span><span class="p">,</span> <span class="s1">&#39;temperature_2m&#39;</span><span class="p">)</span>
+
+<div class="viewcode-block" id="SurfaceRH.compute">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.SurfaceRH.html#sup3r.preprocessing.derivers.methods.SurfaceRH.compute">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">compute</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Compute surface relative humidity.&quot;&quot;&quot;</span>
+        <span class="n">water_vapor_pressure</span> <span class="o">=</span> <span class="mf">6.1078</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span>
+            <span class="mf">17.1</span> <span class="o">*</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;d2m&#39;</span><span class="p">]</span> <span class="o">/</span> <span class="p">(</span><span class="mi">235</span> <span class="o">+</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;d2m&#39;</span><span class="p">])</span>
+        <span class="p">)</span>
+        <span class="n">saturation_water_vapor_pressure</span> <span class="o">=</span> <span class="mf">6.1078</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span>
+            <span class="mf">17.1</span> <span class="o">*</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;temperature_2m&#39;</span><span class="p">]</span> <span class="o">/</span> <span class="p">(</span><span class="mi">235</span> <span class="o">+</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;temperature_2m&#39;</span><span class="p">])</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="mi">100</span> <span class="o">*</span> <span class="n">water_vapor_pressure</span> <span class="o">/</span> <span class="n">saturation_water_vapor_pressure</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="ClearSkyRatio">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.ClearSkyRatio.html#sup3r.preprocessing.derivers.methods.ClearSkyRatio">[docs]</a>
+<span class="k">class</span> <span class="nc">ClearSkyRatio</span><span class="p">(</span><span class="n">DerivedFeature</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Clear Sky Ratio feature class. Inputs here are typically found in H5</span>
+<span class="sd">    data like the NSRDB&quot;&quot;&quot;</span>
+
+    <span class="n">inputs</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;ghi&#39;</span><span class="p">,</span> <span class="s1">&#39;clearsky_ghi&#39;</span><span class="p">)</span>
+
+<div class="viewcode-block" id="ClearSkyRatio.compute">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.ClearSkyRatio.html#sup3r.preprocessing.derivers.methods.ClearSkyRatio.compute">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">compute</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Compute the clearsky ratio</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        cs_ratio : ndarray</span>
+<span class="sd">            Clearsky ratio, e.g. the all-sky ghi / the clearsky ghi. NaN where</span>
+<span class="sd">            nighttime.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="c1"># need to use a nightime threshold of 1 W/m2 because cs_ghi is stored</span>
+        <span class="c1"># in integer format and weird binning patterns happen in the clearsky</span>
+        <span class="c1"># ratio and cloud mask between 0 and 1 W/m2 and sunrise/sunset</span>
+        <span class="n">night_mask</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;clearsky_ghi&#39;</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="mi">1</span>
+
+        <span class="c1"># set any timestep with any nighttime equal to NaN to avoid weird</span>
+        <span class="c1"># sunrise/sunset artifacts.</span>
+        <span class="n">night_mask</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">night_mask</span><span class="o">.</span><span class="n">any</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)))</span>
+
+        <span class="n">cs_ratio</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;ghi&#39;</span><span class="p">]</span> <span class="o">/</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;clearsky_ghi&#39;</span><span class="p">]</span>
+        <span class="n">cs_ratio</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">night_mask</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span>
+        <span class="k">return</span> <span class="n">cs_ratio</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="ClearSkyRatioCC">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.ClearSkyRatioCC.html#sup3r.preprocessing.derivers.methods.ClearSkyRatioCC">[docs]</a>
+<span class="k">class</span> <span class="nc">ClearSkyRatioCC</span><span class="p">(</span><span class="n">DerivedFeature</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Clear Sky Ratio feature class for computing from climate change netcdf</span>
+<span class="sd">    data</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">inputs</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;rsds&#39;</span><span class="p">,</span> <span class="s1">&#39;clearsky_ghi&#39;</span><span class="p">)</span>
+
+<div class="viewcode-block" id="ClearSkyRatioCC.compute">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.ClearSkyRatioCC.html#sup3r.preprocessing.derivers.methods.ClearSkyRatioCC.compute">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">compute</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Compute the daily average climate change clearsky ratio</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        data : Union[Sup3rX, Sup3rDataset]</span>
+<span class="sd">            xarray dataset used for this compuation, must include clearsky_ghi</span>
+<span class="sd">            and rsds (rsds==ghi for cc datasets)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        cs_ratio : ndarray</span>
+<span class="sd">            Clearsky ratio, e.g. the all-sky ghi / the clearsky ghi. This is</span>
+<span class="sd">            assumed to be daily average data for climate change source data.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">cs_ratio</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;rsds&#39;</span><span class="p">]</span> <span class="o">/</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;clearsky_ghi&#39;</span><span class="p">]</span>
+        <span class="n">cs_ratio</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">minimum</span><span class="p">(</span><span class="n">cs_ratio</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">maximum</span><span class="p">(</span><span class="n">cs_ratio</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="CloudMask">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.CloudMask.html#sup3r.preprocessing.derivers.methods.CloudMask">[docs]</a>
+<span class="k">class</span> <span class="nc">CloudMask</span><span class="p">(</span><span class="n">DerivedFeature</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Cloud Mask feature class. Inputs here are typically found in H5 data</span>
+<span class="sd">    like the NSRDB.&quot;&quot;&quot;</span>
+
+    <span class="n">inputs</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;ghi&#39;</span><span class="p">,</span> <span class="s1">&#39;clearky_ghi&#39;</span><span class="p">)</span>
+
+<div class="viewcode-block" id="CloudMask.compute">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.CloudMask.html#sup3r.preprocessing.derivers.methods.CloudMask.compute">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">compute</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        cloud_mask : ndarray</span>
+<span class="sd">            Cloud mask, e.g. 1 where cloudy, 0 where clear. NaN where</span>
+<span class="sd">            nighttime. Data is float32 so it can be normalized without any</span>
+<span class="sd">            integer weirdness.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="c1"># need to use a nightime threshold of 1 W/m2 because cs_ghi is stored</span>
+        <span class="c1"># in integer format and weird binning patterns happen in the clearsky</span>
+        <span class="c1"># ratio and cloud mask between 0 and 1 W/m2 and sunrise/sunset</span>
+        <span class="n">night_mask</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;clearsky_ghi&#39;</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="mi">1</span>
+
+        <span class="c1"># set any timestep with any nighttime equal to NaN to avoid weird</span>
+        <span class="c1"># sunrise/sunset artifacts.</span>
+        <span class="n">night_mask</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">night_mask</span><span class="o">.</span><span class="n">any</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)))</span>
+
+        <span class="n">cloud_mask</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;ghi&#39;</span><span class="p">]</span> <span class="o">&lt;</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;clearsky_ghi&#39;</span><span class="p">]</span>
+        <span class="n">cloud_mask</span> <span class="o">=</span> <span class="n">cloud_mask</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+        <span class="n">cloud_mask</span><span class="p">[</span><span class="n">night_mask</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span>
+        <span class="k">return</span> <span class="n">cloud_mask</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="PressureWRF">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.PressureWRF.html#sup3r.preprocessing.derivers.methods.PressureWRF">[docs]</a>
+<span class="k">class</span> <span class="nc">PressureWRF</span><span class="p">(</span><span class="n">DerivedFeature</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Pressure feature class for WRF data. Needed since P is perturbation</span>
+<span class="sd">    pressure.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">inputs</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;p_(.*)&#39;</span><span class="p">,</span> <span class="s1">&#39;pb_(.*)&#39;</span><span class="p">)</span>
+
+<div class="viewcode-block" id="PressureWRF.compute">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.PressureWRF.html#sup3r.preprocessing.derivers.methods.PressureWRF.compute">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">compute</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">height</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Method to compute pressure from NETCDF data&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="n">data</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;p_</span><span class="si">{</span><span class="n">height</span><span class="si">}</span><span class="s1">m&#39;</span><span class="p">]</span> <span class="o">+</span> <span class="n">data</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;pb_</span><span class="si">{</span><span class="n">height</span><span class="si">}</span><span class="s1">m&#39;</span><span class="p">]</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="Windspeed">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.Windspeed.html#sup3r.preprocessing.derivers.methods.Windspeed">[docs]</a>
+<span class="k">class</span> <span class="nc">Windspeed</span><span class="p">(</span><span class="n">DerivedFeature</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Windspeed feature from rasterized data&quot;&quot;&quot;</span>
+
+    <span class="n">inputs</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;u_(.*)&#39;</span><span class="p">,</span> <span class="s1">&#39;v_(.*)&#39;</span><span class="p">)</span>
+
+<div class="viewcode-block" id="Windspeed.compute">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.Windspeed.html#sup3r.preprocessing.derivers.methods.Windspeed.compute">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">compute</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">height</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Compute windspeed&quot;&quot;&quot;</span>
+
+        <span class="n">ws</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">invert_uv</span><span class="p">(</span>
+            <span class="n">data</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;u_</span><span class="si">{</span><span class="n">height</span><span class="si">}</span><span class="s1">m&#39;</span><span class="p">],</span>
+            <span class="n">data</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;v_</span><span class="si">{</span><span class="n">height</span><span class="si">}</span><span class="s1">m&#39;</span><span class="p">],</span>
+            <span class="n">data</span><span class="o">.</span><span class="n">lat_lon</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="n">ws</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="Winddirection">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.Winddirection.html#sup3r.preprocessing.derivers.methods.Winddirection">[docs]</a>
+<span class="k">class</span> <span class="nc">Winddirection</span><span class="p">(</span><span class="n">DerivedFeature</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Winddirection feature from rasterized data&quot;&quot;&quot;</span>
+
+    <span class="n">inputs</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;u_(.*)&#39;</span><span class="p">,</span> <span class="s1">&#39;v_(.*)&#39;</span><span class="p">)</span>
+
+<div class="viewcode-block" id="Winddirection.compute">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.Winddirection.html#sup3r.preprocessing.derivers.methods.Winddirection.compute">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">compute</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">height</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Compute winddirection&quot;&quot;&quot;</span>
+        <span class="n">_</span><span class="p">,</span> <span class="n">wd</span> <span class="o">=</span> <span class="n">invert_uv</span><span class="p">(</span>
+            <span class="n">data</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;u_</span><span class="si">{</span><span class="n">height</span><span class="si">}</span><span class="s1">m&#39;</span><span class="p">],</span>
+            <span class="n">data</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;v_</span><span class="si">{</span><span class="n">height</span><span class="si">}</span><span class="s1">m&#39;</span><span class="p">],</span>
+            <span class="n">data</span><span class="o">.</span><span class="n">lat_lon</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="n">wd</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="UWindPowerLaw">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.UWindPowerLaw.html#sup3r.preprocessing.derivers.methods.UWindPowerLaw">[docs]</a>
+<span class="k">class</span> <span class="nc">UWindPowerLaw</span><span class="p">(</span><span class="n">DerivedFeature</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;U wind component feature class with needed inputs method and compute</span>
+<span class="sd">    method. Uses power law extrapolation to get values above surface</span>
+
+<span class="sd">    https://csl.noaa.gov/projects/lamar/windshearformula.html</span>
+<span class="sd">    https://www.tandfonline.com/doi/epdf/10.1080/00022470.1977.10470503</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">ALPHA</span> <span class="o">=</span> <span class="mf">0.2</span>
+    <span class="n">NEAR_SFC_HEIGHT</span> <span class="o">=</span> <span class="mi">10</span>
+
+    <span class="n">inputs</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;uas&#39;</span><span class="p">,)</span>
+
+<div class="viewcode-block" id="UWindPowerLaw.compute">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.UWindPowerLaw.html#sup3r.preprocessing.derivers.methods.UWindPowerLaw.compute">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">compute</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">height</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Method to compute U wind component from data</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        data : Union[Sup3rX, Sup3rDataset]</span>
+<span class="sd">            Initialized and standardized through a :class:`Loader` with a</span>
+<span class="sd">            specific spatiotemporal extent rasterized for the features</span>
+<span class="sd">            contained using a :class:`Rasterizer`.</span>
+<span class="sd">        height : str | int</span>
+<span class="sd">            Height at which to compute the derived feature</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        ndarray</span>
+<span class="sd">            Derived feature array</span>
+
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;uas&#39;</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span><span class="nb">float</span><span class="p">(</span><span class="n">height</span><span class="p">)</span> <span class="o">/</span> <span class="bp">cls</span><span class="o">.</span><span class="n">NEAR_SFC_HEIGHT</span><span class="p">)</span> <span class="o">**</span> <span class="bp">cls</span><span class="o">.</span><span class="n">ALPHA</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="VWindPowerLaw">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.VWindPowerLaw.html#sup3r.preprocessing.derivers.methods.VWindPowerLaw">[docs]</a>
+<span class="k">class</span> <span class="nc">VWindPowerLaw</span><span class="p">(</span><span class="n">DerivedFeature</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;V wind component feature class with needed inputs method and compute</span>
+<span class="sd">    method. Uses power law extrapolation to get values above surface</span>
+
+<span class="sd">    https://csl.noaa.gov/projects/lamar/windshearformula.html</span>
+<span class="sd">    https://www.tandfonline.com/doi/epdf/10.1080/00022470.1977.10470503</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">ALPHA</span> <span class="o">=</span> <span class="mf">0.2</span>
+    <span class="n">NEAR_SFC_HEIGHT</span> <span class="o">=</span> <span class="mi">10</span>
+
+    <span class="n">inputs</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;vas&#39;</span><span class="p">,)</span>
+
+<div class="viewcode-block" id="VWindPowerLaw.compute">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.VWindPowerLaw.html#sup3r.preprocessing.derivers.methods.VWindPowerLaw.compute">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">compute</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">height</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Method to compute V wind component from data&quot;&quot;&quot;</span>
+
+        <span class="k">return</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;vas&#39;</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span><span class="nb">float</span><span class="p">(</span><span class="n">height</span><span class="p">)</span> <span class="o">/</span> <span class="bp">cls</span><span class="o">.</span><span class="n">NEAR_SFC_HEIGHT</span><span class="p">)</span> <span class="o">**</span> <span class="bp">cls</span><span class="o">.</span><span class="n">ALPHA</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="UWind">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.UWind.html#sup3r.preprocessing.derivers.methods.UWind">[docs]</a>
+<span class="k">class</span> <span class="nc">UWind</span><span class="p">(</span><span class="n">DerivedFeature</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;U wind component feature class with needed inputs method and compute</span>
+<span class="sd">    method</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">inputs</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;windspeed_(.*)&#39;</span><span class="p">,</span> <span class="s1">&#39;winddirection_(.*)&#39;</span><span class="p">)</span>
+
+<div class="viewcode-block" id="UWind.compute">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.UWind.html#sup3r.preprocessing.derivers.methods.UWind.compute">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">compute</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">height</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Method to compute U wind component from data&quot;&quot;&quot;</span>
+        <span class="n">u</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">transform_rotate_wind</span><span class="p">(</span>
+            <span class="n">data</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;windspeed_</span><span class="si">{</span><span class="n">height</span><span class="si">}</span><span class="s1">m&#39;</span><span class="p">],</span>
+            <span class="n">data</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;winddirection_</span><span class="si">{</span><span class="n">height</span><span class="si">}</span><span class="s1">m&#39;</span><span class="p">],</span>
+            <span class="n">data</span><span class="o">.</span><span class="n">lat_lon</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="n">u</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="VWind">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.VWind.html#sup3r.preprocessing.derivers.methods.VWind">[docs]</a>
+<span class="k">class</span> <span class="nc">VWind</span><span class="p">(</span><span class="n">DerivedFeature</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;V wind component feature class with needed inputs method and compute</span>
+<span class="sd">    method</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">inputs</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;windspeed_(.*)&#39;</span><span class="p">,</span> <span class="s1">&#39;winddirection_(.*)&#39;</span><span class="p">)</span>
+
+<div class="viewcode-block" id="VWind.compute">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.VWind.html#sup3r.preprocessing.derivers.methods.VWind.compute">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">compute</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">height</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Method to compute V wind component from data&quot;&quot;&quot;</span>
+
+        <span class="n">_</span><span class="p">,</span> <span class="n">v</span> <span class="o">=</span> <span class="n">transform_rotate_wind</span><span class="p">(</span>
+            <span class="n">data</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;windspeed_</span><span class="si">{</span><span class="n">height</span><span class="si">}</span><span class="s1">m&#39;</span><span class="p">],</span>
+            <span class="n">data</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;winddirection_</span><span class="si">{</span><span class="n">height</span><span class="si">}</span><span class="s1">m&#39;</span><span class="p">],</span>
+            <span class="n">data</span><span class="o">.</span><span class="n">lat_lon</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="n">v</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="USolar">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.USolar.html#sup3r.preprocessing.derivers.methods.USolar">[docs]</a>
+<span class="k">class</span> <span class="nc">USolar</span><span class="p">(</span><span class="n">DerivedFeature</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;U wind component feature class with needed inputs method and compute</span>
+<span class="sd">    method for NSRDB data (which has just a single windspeed hub height)</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">inputs</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;wind_speed&#39;</span><span class="p">,</span> <span class="s1">&#39;wind_direction&#39;</span><span class="p">)</span>
+
+<div class="viewcode-block" id="USolar.compute">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.USolar.html#sup3r.preprocessing.derivers.methods.USolar.compute">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">compute</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Method to compute U wind component from data&quot;&quot;&quot;</span>
+        <span class="n">u</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">transform_rotate_wind</span><span class="p">(</span>
+            <span class="n">data</span><span class="p">[</span><span class="s1">&#39;wind_speed&#39;</span><span class="p">],</span>
+            <span class="n">data</span><span class="p">[</span><span class="s1">&#39;wind_direction&#39;</span><span class="p">],</span>
+            <span class="n">data</span><span class="o">.</span><span class="n">lat_lon</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="n">u</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="VSolar">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.VSolar.html#sup3r.preprocessing.derivers.methods.VSolar">[docs]</a>
+<span class="k">class</span> <span class="nc">VSolar</span><span class="p">(</span><span class="n">DerivedFeature</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;V wind component feature class with needed inputs method and compute</span>
+<span class="sd">    method for NSRDB data (which has just a single windspeed hub height)</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">inputs</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;wind_speed&#39;</span><span class="p">,</span> <span class="s1">&#39;wind_direction&#39;</span><span class="p">)</span>
+
+<div class="viewcode-block" id="VSolar.compute">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.VSolar.html#sup3r.preprocessing.derivers.methods.VSolar.compute">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">compute</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Method to compute U wind component from data&quot;&quot;&quot;</span>
+        <span class="n">_</span><span class="p">,</span> <span class="n">v</span> <span class="o">=</span> <span class="n">transform_rotate_wind</span><span class="p">(</span>
+            <span class="n">data</span><span class="p">[</span><span class="s1">&#39;wind_speed&#39;</span><span class="p">],</span>
+            <span class="n">data</span><span class="p">[</span><span class="s1">&#39;wind_direction&#39;</span><span class="p">],</span>
+            <span class="n">data</span><span class="o">.</span><span class="n">lat_lon</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="n">v</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="TempNCforCC">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.TempNCforCC.html#sup3r.preprocessing.derivers.methods.TempNCforCC">[docs]</a>
+<span class="k">class</span> <span class="nc">TempNCforCC</span><span class="p">(</span><span class="n">DerivedFeature</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Air temperature variable from climate change nc files&quot;&quot;&quot;</span>
+
+    <span class="n">inputs</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;ta_(.*)&#39;</span><span class="p">,)</span>
+
+<div class="viewcode-block" id="TempNCforCC.compute">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.TempNCforCC.html#sup3r.preprocessing.derivers.methods.TempNCforCC.compute">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">compute</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">height</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Method to compute ta in Celsius from ta source in Kelvin&quot;&quot;&quot;</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;ta_</span><span class="si">{</span><span class="n">height</span><span class="si">}</span><span class="s1">m&#39;</span><span class="p">]</span>
+        <span class="n">units</span> <span class="o">=</span> <span class="n">out</span><span class="o">.</span><span class="n">attrs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;units&#39;</span><span class="p">,</span> <span class="s1">&#39;K&#39;</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">units</span> <span class="o">==</span> <span class="s1">&#39;K&#39;</span><span class="p">:</span>
+            <span class="n">out</span> <span class="o">-=</span> <span class="mf">273.15</span>
+            <span class="n">out</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;units&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;C&#39;</span>
+        <span class="k">return</span> <span class="n">out</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="Tas">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.Tas.html#sup3r.preprocessing.derivers.methods.Tas">[docs]</a>
+<span class="k">class</span> <span class="nc">Tas</span><span class="p">(</span><span class="n">DerivedFeature</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Air temperature near surface variable from climate change nc files&quot;&quot;&quot;</span>
+
+    <span class="n">inputs</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;tas&#39;</span><span class="p">,)</span>
+
+<div class="viewcode-block" id="Tas.compute">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.Tas.html#sup3r.preprocessing.derivers.methods.Tas.compute">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">compute</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Method to compute tas in Celsius from tas source in Kelvin&quot;&quot;&quot;</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="bp">cls</span><span class="o">.</span><span class="n">inputs</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span>
+        <span class="n">units</span> <span class="o">=</span> <span class="n">out</span><span class="o">.</span><span class="n">attrs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;units&#39;</span><span class="p">,</span> <span class="s1">&#39;K&#39;</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">units</span> <span class="o">==</span> <span class="s1">&#39;K&#39;</span><span class="p">:</span>
+            <span class="n">out</span> <span class="o">-=</span> <span class="mf">273.15</span>
+            <span class="n">out</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;units&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;C&#39;</span>
+        <span class="k">return</span> <span class="n">out</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="TasMin">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.TasMin.html#sup3r.preprocessing.derivers.methods.TasMin">[docs]</a>
+<span class="k">class</span> <span class="nc">TasMin</span><span class="p">(</span><span class="n">Tas</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Daily min air temperature near surface variable from climate change nc</span>
+<span class="sd">    files</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">inputs</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;tasmin&#39;</span><span class="p">,)</span></div>
+
+
+
+<div class="viewcode-block" id="TasMax">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.TasMax.html#sup3r.preprocessing.derivers.methods.TasMax">[docs]</a>
+<span class="k">class</span> <span class="nc">TasMax</span><span class="p">(</span><span class="n">Tas</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Daily max air temperature near surface variable from climate change nc</span>
+<span class="sd">    files</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">inputs</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;tasmax&#39;</span><span class="p">,)</span></div>
+
+
+
+<div class="viewcode-block" id="Sza">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.Sza.html#sup3r.preprocessing.derivers.methods.Sza">[docs]</a>
+<span class="k">class</span> <span class="nc">Sza</span><span class="p">(</span><span class="n">DerivedFeature</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Solar zenith angle derived feature.&quot;&quot;&quot;</span>
+
+    <span class="n">inputs</span> <span class="o">=</span> <span class="p">()</span>
+
+<div class="viewcode-block" id="Sza.compute">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.methods.Sza.html#sup3r.preprocessing.derivers.methods.Sza.compute">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">compute</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Compute method for sza.&quot;&quot;&quot;</span>
+        <span class="n">sza</span> <span class="o">=</span> <span class="n">SolarZenith</span><span class="o">.</span><span class="n">get_zenith</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">time_index</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">lat_lon</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">sza</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span></div>
+</div>
+
+
+
+<span class="n">RegistryBase</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s1">&#39;u_(.*)&#39;</span><span class="p">:</span> <span class="n">UWind</span><span class="p">,</span>
+    <span class="s1">&#39;v_(.*)&#39;</span><span class="p">:</span> <span class="n">VWind</span><span class="p">,</span>
+    <span class="s1">&#39;relativehumidity_2m&#39;</span><span class="p">:</span> <span class="n">SurfaceRH</span><span class="p">,</span>
+    <span class="s1">&#39;windspeed_(.*)&#39;</span><span class="p">:</span> <span class="n">Windspeed</span><span class="p">,</span>
+    <span class="s1">&#39;winddirection_(.*)&#39;</span><span class="p">:</span> <span class="n">Winddirection</span><span class="p">,</span>
+    <span class="s1">&#39;cloud_mask&#39;</span><span class="p">:</span> <span class="n">CloudMask</span><span class="p">,</span>
+    <span class="s1">&#39;clearsky_ratio&#39;</span><span class="p">:</span> <span class="n">ClearSkyRatio</span><span class="p">,</span>
+    <span class="s1">&#39;sza&#39;</span><span class="p">:</span> <span class="n">Sza</span><span class="p">,</span>
+<span class="p">}</span>
+
+<span class="n">RegistryH5WindCC</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="o">**</span><span class="n">RegistryBase</span><span class="p">,</span>
+    <span class="s1">&#39;temperature_max_(.*)m&#39;</span><span class="p">:</span> <span class="s1">&#39;temperature_(.*)m&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;temperature_min_(.*)m&#39;</span><span class="p">:</span> <span class="s1">&#39;temperature_(.*)m&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;relativehumidity_max_(.*)m&#39;</span><span class="p">:</span> <span class="s1">&#39;relativehumidity_(.*)m&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;relativehumidity_min_(.*)m&#39;</span><span class="p">:</span> <span class="s1">&#39;relativehumidity_(.*)m&#39;</span><span class="p">,</span>
+<span class="p">}</span>
+
+<span class="n">RegistryH5SolarCC</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="o">**</span><span class="n">RegistryH5WindCC</span><span class="p">,</span>
+    <span class="s1">&#39;windspeed&#39;</span><span class="p">:</span> <span class="s1">&#39;wind_speed&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;winddirection&#39;</span><span class="p">:</span> <span class="s1">&#39;wind_direction&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;U&#39;</span><span class="p">:</span> <span class="n">USolar</span><span class="p">,</span>
+    <span class="s1">&#39;V&#39;</span><span class="p">:</span> <span class="n">VSolar</span><span class="p">,</span>
+<span class="p">}</span>
+
+<span class="n">RegistryNCforCC</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">RegistryBase</span><span class="p">)</span>
+<span class="n">RegistryNCforCC</span><span class="o">.</span><span class="n">update</span><span class="p">(</span>
+    <span class="p">{</span>
+        <span class="s1">&#39;u_(.*)&#39;</span><span class="p">:</span> <span class="s1">&#39;ua_(.*)&#39;</span><span class="p">,</span>
+        <span class="s1">&#39;v_(.*)&#39;</span><span class="p">:</span> <span class="s1">&#39;va_(.*)&#39;</span><span class="p">,</span>
+        <span class="s1">&#39;relativehumidity_2m&#39;</span><span class="p">:</span> <span class="s1">&#39;hurs&#39;</span><span class="p">,</span>
+        <span class="s1">&#39;relativehumidity_min_2m&#39;</span><span class="p">:</span> <span class="s1">&#39;hursmin&#39;</span><span class="p">,</span>
+        <span class="s1">&#39;relativehumidity_max_2m&#39;</span><span class="p">:</span> <span class="s1">&#39;hursmax&#39;</span><span class="p">,</span>
+        <span class="s1">&#39;clearsky_ratio&#39;</span><span class="p">:</span> <span class="n">ClearSkyRatioCC</span><span class="p">,</span>
+        <span class="s1">&#39;temperature_(.*)&#39;</span><span class="p">:</span> <span class="n">TempNCforCC</span><span class="p">,</span>
+        <span class="s1">&#39;temperature_2m&#39;</span><span class="p">:</span> <span class="n">Tas</span><span class="p">,</span>
+        <span class="s1">&#39;temperature_max_2m&#39;</span><span class="p">:</span> <span class="n">TasMax</span><span class="p">,</span>
+        <span class="s1">&#39;temperature_min_2m&#39;</span><span class="p">:</span> <span class="n">TasMin</span><span class="p">,</span>
+        <span class="s1">&#39;pressure_(.*)&#39;</span><span class="p">:</span> <span class="s1">&#39;level_(.*)&#39;</span><span class="p">,</span>
+    <span class="p">}</span>
+<span class="p">)</span>
+
+
+<span class="n">RegistryNCforCCwithPowerLaw</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="o">**</span><span class="n">RegistryNCforCC</span><span class="p">,</span>
+    <span class="s1">&#39;u_(.*)&#39;</span><span class="p">:</span> <span class="n">UWindPowerLaw</span><span class="p">,</span>
+    <span class="s1">&#39;v_(.*)&#39;</span><span class="p">:</span> <span class="n">VWindPowerLaw</span><span class="p">,</span>
+<span class="p">}</span>
+</pre></div>
+
+                </article>
+              
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+<div class="bd-footer-content__inner container">
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+By Brandon Benton, Grant Buster, Andrew Glaws, Ryan King
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+  <h1>Source code for sup3r.preprocessing.derivers.utilities</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Miscellaneous utilities shared across the derivers module&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">re</span>
+
+<span class="kn">import</span> <span class="nn">dask.array</span> <span class="k">as</span> <span class="nn">da</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">from</span> <span class="nn">rex.utilities.solar_position</span> <span class="kn">import</span> <span class="n">SolarPosition</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="SolarZenith">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.utilities.SolarZenith.html#sup3r.preprocessing.derivers.utilities.SolarZenith">[docs]</a>
+<span class="k">class</span> <span class="nc">SolarZenith</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">    Class to compute solar zenith angle. Use SPA from rex and wrap some of</span>
+<span class="sd">    those methods in ``dask.array.map_blocks`` so this can be computed in</span>
+<span class="sd">    parallel across chunks.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">_get_zenith</span><span class="p">(</span><span class="n">n</span><span class="p">,</span> <span class="n">zulu</span><span class="p">,</span> <span class="n">lat_lon</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Compute solar zenith angle from days, hours, and location</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        n : da.core.Array</span>
+<span class="sd">            Days since Greenwich Noon</span>
+<span class="sd">        zulu : da.core.Array</span>
+<span class="sd">            Decimal hour in UTC (Zulu Hour)</span>
+<span class="sd">        lat_lon : da.core.Array</span>
+<span class="sd">            (latitude, longitude, 2) for site(s) of interest</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        zenith : ndarray</span>
+<span class="sd">            Solar zenith angle in degrees</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">lat</span><span class="p">,</span> <span class="n">lon</span> <span class="o">=</span> <span class="n">lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span> <span class="n">lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span>
+        <span class="n">lat</span> <span class="o">=</span> <span class="n">lat</span><span class="o">.</span><span class="n">flatten</span><span class="p">()[</span><span class="o">...</span><span class="p">,</span> <span class="kc">None</span><span class="p">]</span>
+        <span class="n">lon</span> <span class="o">=</span> <span class="n">lon</span><span class="o">.</span><span class="n">flatten</span><span class="p">()[</span><span class="o">...</span><span class="p">,</span> <span class="kc">None</span><span class="p">]</span>
+        <span class="n">ra</span><span class="p">,</span> <span class="n">dec</span> <span class="o">=</span> <span class="n">SolarPosition</span><span class="o">.</span><span class="n">_calc_sun_pos</span><span class="p">(</span><span class="n">n</span><span class="p">)</span>
+        <span class="n">zen</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">map_blocks</span><span class="p">(</span><span class="n">SolarPosition</span><span class="o">.</span><span class="n">_calc_hour_angle</span><span class="p">,</span> <span class="n">n</span><span class="p">,</span> <span class="n">zulu</span><span class="p">,</span> <span class="n">ra</span><span class="p">,</span> <span class="n">lon</span><span class="p">)</span>
+        <span class="n">zen</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">map_blocks</span><span class="p">(</span><span class="n">SolarPosition</span><span class="o">.</span><span class="n">_calc_elevation</span><span class="p">,</span> <span class="n">dec</span><span class="p">,</span> <span class="n">zen</span><span class="p">,</span> <span class="n">lat</span><span class="p">)</span>
+        <span class="n">zen</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">map_blocks</span><span class="p">(</span><span class="n">SolarPosition</span><span class="o">.</span><span class="n">_atm_correction</span><span class="p">,</span> <span class="n">zen</span><span class="p">)</span>
+        <span class="n">zen</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">degrees</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">pi</span> <span class="o">/</span> <span class="mi">2</span> <span class="o">-</span> <span class="n">zen</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">zen</span>
+
+<div class="viewcode-block" id="SolarZenith.get_zenith">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.utilities.SolarZenith.html#sup3r.preprocessing.derivers.utilities.SolarZenith.get_zenith">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">get_zenith</span><span class="p">(</span><span class="n">time_index</span><span class="p">,</span> <span class="n">lat_lon</span><span class="p">,</span> <span class="n">ll_chunks</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">1</span><span class="p">)):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Compute solar zenith angle from time_index and location</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        time_index : ndarray | pandas.DatetimeIndex | str</span>
+<span class="sd">            Datetime stamps of interest</span>
+<span class="sd">        lat_lon : ndarray, da.core.Array</span>
+<span class="sd">            (latitude, longitude, 2) for site(s) of interest</span>
+<span class="sd">        ll_chunks : tuple</span>
+<span class="sd">            Chunks for lat_lon array. To run this on a large domain, even with</span>
+<span class="sd">            delayed computations through dask, we need to use small chunks for</span>
+<span class="sd">            the lat lon array.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        zenith : da.core.Array</span>
+<span class="sd">            Solar zenith angle in degrees</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">time_index</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">DatetimeIndex</span><span class="p">):</span>
+            <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">time_index</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+                <span class="n">time_index</span> <span class="o">=</span> <span class="p">[</span><span class="n">time_index</span><span class="p">]</span>
+
+            <span class="n">time_index</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">to_datetime</span><span class="p">(</span><span class="n">time_index</span><span class="p">)</span>
+
+        <span class="n">out_shape</span> <span class="o">=</span> <span class="p">(</span><span class="o">*</span><span class="n">lat_lon</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="nb">len</span><span class="p">(</span><span class="n">time_index</span><span class="p">))</span>
+        <span class="n">lat_lon</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">lat_lon</span><span class="p">,</span> <span class="n">chunks</span><span class="o">=</span><span class="n">ll_chunks</span><span class="p">)</span>
+        <span class="n">n</span><span class="p">,</span> <span class="n">zulu</span> <span class="o">=</span> <span class="n">SolarPosition</span><span class="o">.</span><span class="n">_parse_time</span><span class="p">(</span><span class="n">time_index</span><span class="p">)</span>
+        <span class="n">n</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">n</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+        <span class="n">zulu</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">zulu</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+        <span class="n">zen</span> <span class="o">=</span> <span class="n">SolarZenith</span><span class="o">.</span><span class="n">_get_zenith</span><span class="p">(</span><span class="n">n</span><span class="p">,</span> <span class="n">zulu</span><span class="p">,</span> <span class="n">lat_lon</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">zen</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">out_shape</span><span class="p">)</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="parse_feature">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.utilities.parse_feature.html#sup3r.preprocessing.derivers.utilities.parse_feature">[docs]</a>
+<span class="k">def</span> <span class="nf">parse_feature</span><span class="p">(</span><span class="n">feature</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Parse feature name to get the &quot;basename&quot; (i.e. U for u_100m), the height</span>
+<span class="sd">    (100 for u_100m), and pressure if available (1000 for u_1000pa).&quot;&quot;&quot;</span>
+
+    <span class="k">class</span> <span class="nc">FeatureStruct</span><span class="p">:</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Feature structure storing `basename`, `height`, and `pressure`.&quot;&quot;&quot;</span>
+
+        <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+            <span class="n">height</span> <span class="o">=</span> <span class="n">re</span><span class="o">.</span><span class="n">findall</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;_\d+m&#39;</span><span class="p">,</span> <span class="n">feature</span><span class="p">)</span>
+            <span class="n">press</span> <span class="o">=</span> <span class="n">re</span><span class="o">.</span><span class="n">findall</span><span class="p">(</span><span class="sa">r</span><span class="s1">&#39;_\d+pa&#39;</span><span class="p">,</span> <span class="n">feature</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">basename</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="n">feature</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">height</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="s1">&#39;&#39;</span><span class="p">)</span>
+                <span class="k">if</span> <span class="n">height</span>
+                <span class="k">else</span> <span class="n">feature</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">press</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="s1">&#39;&#39;</span><span class="p">)</span>
+                <span class="k">if</span> <span class="n">press</span>
+                <span class="k">else</span> <span class="n">feature</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;_(.*)&#39;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+                <span class="k">if</span> <span class="s1">&#39;_(.*)&#39;</span> <span class="ow">in</span> <span class="n">feature</span>
+                <span class="k">else</span> <span class="n">feature</span>
+            <span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">height</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="nb">int</span><span class="p">(</span><span class="nb">round</span><span class="p">(</span><span class="nb">float</span><span class="p">(</span><span class="n">height</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">1</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">])))</span> <span class="k">if</span> <span class="n">height</span> <span class="k">else</span> <span class="kc">None</span>
+            <span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">pressure</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="nb">int</span><span class="p">(</span><span class="nb">round</span><span class="p">(</span><span class="nb">float</span><span class="p">(</span><span class="n">press</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">1</span><span class="p">:</span><span class="o">-</span><span class="mi">2</span><span class="p">])))</span> <span class="k">if</span> <span class="n">press</span> <span class="k">else</span> <span class="kc">None</span>
+            <span class="p">)</span>
+
+        <span class="k">def</span> <span class="nf">map_wildcard</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pattern</span><span class="p">):</span>
+<span class="w">            </span><span class="sd">&quot;&quot;&quot;Return given pattern with wildcard replaced with height if</span>
+<span class="sd">            available, pressure if available, or just return the basename.&quot;&quot;&quot;</span>
+            <span class="k">if</span> <span class="s1">&#39;(.*)&#39;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">pattern</span><span class="p">:</span>
+                <span class="k">return</span> <span class="n">pattern</span>
+            <span class="k">return</span> <span class="p">(</span>
+                <span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">pattern</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;_(.*)&#39;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="si">}</span><span class="s2">_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">height</span><span class="si">}</span><span class="s2">m&quot;</span>
+                <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">height</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+                <span class="k">else</span> <span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">pattern</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;_(.*)&#39;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="si">}</span><span class="s2">_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">pressure</span><span class="si">}</span><span class="s2">pa&quot;</span>
+                <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">pressure</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+                <span class="k">else</span> <span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">pattern</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;_(.*)&#39;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="si">}</span><span class="s2">&quot;</span>
+            <span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">FeatureStruct</span><span class="p">()</span></div>
+
+
+
+<div class="viewcode-block" id="windspeed_log_law">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.utilities.windspeed_log_law.html#sup3r.preprocessing.derivers.utilities.windspeed_log_law">[docs]</a>
+<span class="k">def</span> <span class="nf">windspeed_log_law</span><span class="p">(</span><span class="n">z</span><span class="p">,</span> <span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">c</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Windspeed log profile.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    z : float</span>
+<span class="sd">        Height above ground in meters</span>
+<span class="sd">    a : float</span>
+<span class="sd">        Proportional to friction velocity</span>
+<span class="sd">    b : float</span>
+<span class="sd">        Related to zero-plane displacement in meters (height above the ground</span>
+<span class="sd">        at which zero mean wind speed is achieved as a result of flow obstacles</span>
+<span class="sd">        such as trees or buildings)</span>
+<span class="sd">    c : float</span>
+<span class="sd">        Proportional to stability term.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    ws : float</span>
+<span class="sd">        Value of windspeed at a given height.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="k">return</span> <span class="n">a</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">z</span> <span class="o">+</span> <span class="n">b</span><span class="p">)</span> <span class="o">+</span> <span class="n">c</span></div>
+
+
+
+<div class="viewcode-block" id="transform_rotate_wind">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.utilities.transform_rotate_wind.html#sup3r.preprocessing.derivers.utilities.transform_rotate_wind">[docs]</a>
+<span class="k">def</span> <span class="nf">transform_rotate_wind</span><span class="p">(</span><span class="n">ws</span><span class="p">,</span> <span class="n">wd</span><span class="p">,</span> <span class="n">lat_lon</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Transform windspeed/direction to u and v and align u and v with grid</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    ws : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        3D array of high res windspeed data</span>
+<span class="sd">        (spatial_1, spatial_2, temporal)</span>
+<span class="sd">    wd : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        3D array of high res winddirection data. Angle is in degrees and</span>
+<span class="sd">        measured relative to the south_north direction.</span>
+<span class="sd">        (spatial_1, spatial_2, temporal)</span>
+<span class="sd">    lat_lon : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        3D array of lat lon</span>
+<span class="sd">        (spatial_1, spatial_2, 2)</span>
+<span class="sd">        Last dimension has lat / lon in that order</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    u : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        3D array of high res U data</span>
+<span class="sd">        (spatial_1, spatial_2, temporal)</span>
+<span class="sd">    v : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        3D array of high res V data</span>
+<span class="sd">        (spatial_1, spatial_2, temporal)</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="c1"># get the dy/dx to the nearest vertical neighbor</span>
+    <span class="n">invert_lat</span> <span class="o">=</span> <span class="kc">False</span>
+    <span class="k">if</span> <span class="n">lat_lon</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">&gt;</span> <span class="n">lat_lon</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]:</span>
+        <span class="n">invert_lat</span> <span class="o">=</span> <span class="kc">True</span>
+        <span class="n">lat_lon</span> <span class="o">=</span> <span class="n">lat_lon</span><span class="p">[::</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+        <span class="n">ws</span> <span class="o">=</span> <span class="n">ws</span><span class="p">[::</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+        <span class="n">wd</span> <span class="o">=</span> <span class="n">wd</span><span class="p">[::</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+    <span class="n">dy</span> <span class="o">=</span> <span class="n">lat_lon</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">roll</span><span class="p">(</span><span class="n">lat_lon</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">],</span> <span class="mi">1</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+    <span class="n">dx</span> <span class="o">=</span> <span class="n">lat_lon</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">roll</span><span class="p">(</span><span class="n">lat_lon</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">],</span> <span class="mi">1</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+    <span class="n">dy</span> <span class="o">=</span> <span class="p">(</span><span class="n">dy</span> <span class="o">+</span> <span class="mi">90</span><span class="p">)</span> <span class="o">%</span> <span class="mi">180</span> <span class="o">-</span> <span class="mi">90</span>
+    <span class="n">dx</span> <span class="o">=</span> <span class="p">(</span><span class="n">dx</span> <span class="o">+</span> <span class="mi">180</span><span class="p">)</span> <span class="o">%</span> <span class="mi">360</span> <span class="o">-</span> <span class="mi">180</span>
+
+    <span class="c1"># calculate the angle from the vertical</span>
+    <span class="n">theta</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">pi</span> <span class="o">/</span> <span class="mi">2</span><span class="p">)</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">arctan2</span><span class="p">(</span><span class="n">dy</span><span class="p">,</span> <span class="n">dx</span><span class="p">)</span>
+
+    <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">theta</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">1</span><span class="p">:</span>
+        <span class="n">theta</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="n">theta</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>  <span class="c1"># fix the roll row</span>
+    <span class="n">wd</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">radians</span><span class="p">(</span><span class="n">wd</span><span class="p">)</span>
+
+    <span class="n">u_rot</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">theta</span><span class="p">)[:,</span> <span class="p">:,</span> <span class="n">np</span><span class="o">.</span><span class="n">newaxis</span><span class="p">]</span> <span class="o">*</span> <span class="n">ws</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">wd</span><span class="p">)</span>
+    <span class="n">u_rot</span> <span class="o">+=</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">theta</span><span class="p">)[:,</span> <span class="p">:,</span> <span class="n">np</span><span class="o">.</span><span class="n">newaxis</span><span class="p">]</span> <span class="o">*</span> <span class="n">ws</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">wd</span><span class="p">)</span>
+
+    <span class="n">v_rot</span> <span class="o">=</span> <span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">theta</span><span class="p">)[:,</span> <span class="p">:,</span> <span class="n">np</span><span class="o">.</span><span class="n">newaxis</span><span class="p">]</span> <span class="o">*</span> <span class="n">ws</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">wd</span><span class="p">)</span>
+    <span class="n">v_rot</span> <span class="o">+=</span> <span class="n">np</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">theta</span><span class="p">)[:,</span> <span class="p">:,</span> <span class="n">np</span><span class="o">.</span><span class="n">newaxis</span><span class="p">]</span> <span class="o">*</span> <span class="n">ws</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">wd</span><span class="p">)</span>
+
+    <span class="k">if</span> <span class="n">invert_lat</span><span class="p">:</span>
+        <span class="n">u_rot</span> <span class="o">=</span> <span class="n">u_rot</span><span class="p">[::</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+        <span class="n">v_rot</span> <span class="o">=</span> <span class="n">v_rot</span><span class="p">[::</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+    <span class="k">return</span> <span class="n">u_rot</span><span class="p">,</span> <span class="n">v_rot</span></div>
+
+
+
+<div class="viewcode-block" id="invert_uv">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.derivers.utilities.invert_uv.html#sup3r.preprocessing.derivers.utilities.invert_uv">[docs]</a>
+<span class="k">def</span> <span class="nf">invert_uv</span><span class="p">(</span><span class="n">u</span><span class="p">,</span> <span class="n">v</span><span class="p">,</span> <span class="n">lat_lon</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Transform u and v back to windspeed and winddirection</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    u : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        3D array of high res U data</span>
+<span class="sd">        (spatial_1, spatial_2, temporal)</span>
+<span class="sd">    v : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        3D array of high res V data</span>
+<span class="sd">        (spatial_1, spatial_2, temporal)</span>
+<span class="sd">    lat_lon : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        3D array of lat lon</span>
+<span class="sd">        (spatial_1, spatial_2, 2)</span>
+<span class="sd">        Last dimension has lat / lon in that order</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    ws : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        3D array of high res windspeed data</span>
+<span class="sd">        (spatial_1, spatial_2, temporal)</span>
+<span class="sd">    wd : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        3D array of high res winddirection data. Angle is in degrees and</span>
+<span class="sd">        measured relative to the south_north direction.</span>
+<span class="sd">        (spatial_1, spatial_2, temporal)</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">invert_lat</span> <span class="o">=</span> <span class="kc">False</span>
+    <span class="k">if</span> <span class="n">lat_lon</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">&gt;</span> <span class="n">lat_lon</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]:</span>
+        <span class="n">invert_lat</span> <span class="o">=</span> <span class="kc">True</span>
+        <span class="n">lat_lon</span> <span class="o">=</span> <span class="n">lat_lon</span><span class="p">[::</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+        <span class="n">u</span> <span class="o">=</span> <span class="n">u</span><span class="p">[::</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+        <span class="n">v</span> <span class="o">=</span> <span class="n">v</span><span class="p">[::</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+    <span class="n">dy</span> <span class="o">=</span> <span class="n">lat_lon</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">roll</span><span class="p">(</span><span class="n">lat_lon</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">],</span> <span class="mi">1</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+    <span class="n">dx</span> <span class="o">=</span> <span class="n">lat_lon</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">roll</span><span class="p">(</span><span class="n">lat_lon</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">],</span> <span class="mi">1</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+    <span class="n">dy</span> <span class="o">=</span> <span class="p">(</span><span class="n">dy</span> <span class="o">+</span> <span class="mi">90</span><span class="p">)</span> <span class="o">%</span> <span class="mi">180</span> <span class="o">-</span> <span class="mi">90</span>
+    <span class="n">dx</span> <span class="o">=</span> <span class="p">(</span><span class="n">dx</span> <span class="o">+</span> <span class="mi">180</span><span class="p">)</span> <span class="o">%</span> <span class="mi">360</span> <span class="o">-</span> <span class="mi">180</span>
+
+    <span class="c1"># calculate the angle from the vertical</span>
+    <span class="n">theta</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">pi</span> <span class="o">/</span> <span class="mi">2</span><span class="p">)</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">arctan2</span><span class="p">(</span><span class="n">dy</span><span class="p">,</span> <span class="n">dx</span><span class="p">)</span>
+    <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">theta</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">1</span><span class="p">:</span>
+        <span class="n">theta</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="n">theta</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>  <span class="c1"># fix the roll row</span>
+
+    <span class="n">u_rot</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">theta</span><span class="p">)[:,</span> <span class="p">:,</span> <span class="n">np</span><span class="o">.</span><span class="n">newaxis</span><span class="p">]</span> <span class="o">*</span> <span class="n">u</span>
+    <span class="n">u_rot</span> <span class="o">-=</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">theta</span><span class="p">)[:,</span> <span class="p">:,</span> <span class="n">np</span><span class="o">.</span><span class="n">newaxis</span><span class="p">]</span> <span class="o">*</span> <span class="n">v</span>
+
+    <span class="n">v_rot</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">theta</span><span class="p">)[:,</span> <span class="p">:,</span> <span class="n">np</span><span class="o">.</span><span class="n">newaxis</span><span class="p">]</span> <span class="o">*</span> <span class="n">u</span>
+    <span class="n">v_rot</span> <span class="o">+=</span> <span class="n">np</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">theta</span><span class="p">)[:,</span> <span class="p">:,</span> <span class="n">np</span><span class="o">.</span><span class="n">newaxis</span><span class="p">]</span> <span class="o">*</span> <span class="n">v</span>
+
+    <span class="n">ws</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">hypot</span><span class="p">(</span><span class="n">u_rot</span><span class="p">,</span> <span class="n">v_rot</span><span class="p">)</span>
+    <span class="n">wd</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">degrees</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arctan2</span><span class="p">(</span><span class="n">u_rot</span><span class="p">,</span> <span class="n">v_rot</span><span class="p">))</span> <span class="o">+</span> <span class="mi">360</span><span class="p">)</span> <span class="o">%</span> <span class="mi">360</span>
+
+    <span class="k">if</span> <span class="n">invert_lat</span><span class="p">:</span>
+        <span class="n">ws</span> <span class="o">=</span> <span class="n">ws</span><span class="p">[::</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+        <span class="n">wd</span> <span class="o">=</span> <span class="n">wd</span><span class="p">[::</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+    <span class="k">return</span> <span class="n">ws</span><span class="p">,</span> <span class="n">wd</span></div>
+
+</pre></div>
+
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+  <h1>Source code for sup3r.preprocessing.loaders</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Container subclass with additional methods for loading the contained</span>
+<span class="sd">data.&quot;&quot;&quot;</span>
+
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">ClassVar</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="n">composite_info</span><span class="p">,</span> <span class="n">get_source_type</span>
+
+<span class="kn">from</span> <span class="nn">.base</span> <span class="kn">import</span> <span class="n">BaseLoader</span>
+<span class="kn">from</span> <span class="nn">.h5</span> <span class="kn">import</span> <span class="n">LoaderH5</span>
+<span class="kn">from</span> <span class="nn">.nc</span> <span class="kn">import</span> <span class="n">LoaderNC</span>
+
+
+<div class="viewcode-block" id="Loader">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.loaders.Loader.html#sup3r.preprocessing.loaders.Loader">[docs]</a>
+<span class="k">class</span> <span class="nc">Loader</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;`Loader` class which parses input file type and returns</span>
+<span class="sd">    appropriate `TypeSpecificLoader`.&quot;&quot;&quot;</span>
+
+    <span class="n">TypeSpecificClasses</span><span class="p">:</span> <span class="n">ClassVar</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;nc&#39;</span><span class="p">:</span> <span class="n">LoaderNC</span><span class="p">,</span> <span class="s1">&#39;h5&#39;</span><span class="p">:</span> <span class="n">LoaderH5</span><span class="p">}</span>
+
+    <span class="k">def</span> <span class="fm">__new__</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">file_paths</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Override parent class to return type specific class based on</span>
+<span class="sd">        `source_file`&quot;&quot;&quot;</span>
+        <span class="n">SpecificClass</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">TypeSpecificClasses</span><span class="p">[</span><span class="n">get_source_type</span><span class="p">(</span><span class="n">file_paths</span><span class="p">)]</span>
+        <span class="k">return</span> <span class="n">SpecificClass</span><span class="p">(</span><span class="n">file_paths</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+    <span class="n">__signature__</span><span class="p">,</span> <span class="vm">__doc__</span> <span class="o">=</span> <span class="n">composite_info</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="n">TypeSpecificClasses</span><span class="o">.</span><span class="n">values</span><span class="p">()))</span>
+
+    <span class="k">def</span> <span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="k">return</span> <span class="bp">self</span>
+
+    <span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">exc_type</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">,</span> <span class="n">trace</span><span class="p">):</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="o">.</span><span class="n">close</span><span class="p">()</span></div>
+
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+  <h1>Source code for sup3r.preprocessing.loaders.base</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Abstract Loader class merely for loading data from file paths. This data is</span>
+<span class="sd">always loaded lazily.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">copy</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">from</span> <span class="nn">abc</span> <span class="kn">import</span> <span class="n">ABC</span><span class="p">,</span> <span class="n">abstractmethod</span>
+<span class="kn">from</span> <span class="nn">datetime</span> <span class="kn">import</span> <span class="n">datetime</span> <span class="k">as</span> <span class="n">dt</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Callable</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.base</span> <span class="kn">import</span> <span class="n">Container</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.names</span> <span class="kn">import</span> <span class="n">FEATURE_NAMES</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">expand_paths</span><span class="p">,</span>
+    <span class="n">log_args</span><span class="p">,</span>
+    <span class="n">lower_names</span><span class="p">,</span>
+    <span class="n">ordered_dims</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.utilities</span> <span class="kn">import</span> <span class="n">xr_open_mfdataset</span>
+
+<span class="kn">from</span> <span class="nn">.utilities</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">standardize_names</span><span class="p">,</span>
+    <span class="n">standardize_values</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="BaseLoader">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.loaders.base.BaseLoader.html#sup3r.preprocessing.loaders.base.BaseLoader">[docs]</a>
+<span class="k">class</span> <span class="nc">BaseLoader</span><span class="p">(</span><span class="n">Container</span><span class="p">,</span> <span class="n">ABC</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Base loader. &quot;Loads&quot; files so that a `.data` attribute provides access</span>
+<span class="sd">    to the data in the files as a dask array with shape (lats, lons, time,</span>
+<span class="sd">    features). This object provides a `__getitem__` method that can be used by</span>
+<span class="sd">    :class:`~sup3r.preprocessing.samplers.Sampler` objects to build batches or</span>
+<span class="sd">    by :class:`~sup3r.preprocessing.rasterizers.Rasterizer` objects to derive /</span>
+<span class="sd">    extract specific features / regions / time_periods.&quot;&quot;&quot;</span>
+
+    <span class="n">BASE_LOADER</span><span class="p">:</span> <span class="n">Callable</span> <span class="o">=</span> <span class="n">xr_open_mfdataset</span>
+
+    <span class="nd">@log_args</span>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">file_paths</span><span class="p">,</span>
+        <span class="n">features</span><span class="o">=</span><span class="s1">&#39;all&#39;</span><span class="p">,</span>
+        <span class="n">res_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">chunks</span><span class="o">=</span><span class="s1">&#39;auto&#39;</span><span class="p">,</span>
+        <span class="n">BaseLoader</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        file_paths : str | pathlib.Path | list</span>
+<span class="sd">            Location(s) of files to load</span>
+<span class="sd">        features : list | str</span>
+<span class="sd">            Features to return in loaded dataset. If &#39;all&#39; then all available</span>
+<span class="sd">            features will be returned.</span>
+<span class="sd">        res_kwargs : dict</span>
+<span class="sd">            Additional keyword arguments passed through to the ``BaseLoader``.</span>
+<span class="sd">            BaseLoader is usually xr.open_mfdataset for NETCDF files and</span>
+<span class="sd">            MultiFileResourceX for H5 files.</span>
+<span class="sd">        chunks : dict | str | None</span>
+<span class="sd">            Dictionary of chunk sizes to pass through to</span>
+<span class="sd">            ``dask.array.from_array()`` or ``xr.Dataset().chunk()``. Will be</span>
+<span class="sd">            converted to a tuple when used in ``from_array()``. These are the</span>
+<span class="sd">            methods for H5 and NETCDF data, respectively. This argument can</span>
+<span class="sd">            be &quot;auto&quot; in additional to a dictionary. If this is None then the</span>
+<span class="sd">            data will not be chunked and instead loaded directly into memory.</span>
+<span class="sd">        BaseLoader : Callable</span>
+<span class="sd">            Optional base loader update. The default for H5 files is</span>
+<span class="sd">            MultiFileResourceX and for NETCDF is xarray.open_mfdataset</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">res_kwargs</span> <span class="o">=</span> <span class="n">res_kwargs</span> <span class="ow">or</span> <span class="p">{}</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">file_paths</span> <span class="o">=</span> <span class="n">file_paths</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">chunks</span> <span class="o">=</span> <span class="n">chunks</span>
+        <span class="n">BASE_LOADER</span> <span class="o">=</span> <span class="n">BaseLoader</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">BASE_LOADER</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">res</span> <span class="o">=</span> <span class="n">BASE_LOADER</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">file_paths</span><span class="p">,</span> <span class="o">**</span><span class="bp">self</span><span class="o">.</span><span class="n">res_kwargs</span><span class="p">)</span>
+        <span class="n">data</span> <span class="o">=</span> <span class="n">lower_names</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_load</span><span class="p">())</span>
+        <span class="n">data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_add_attrs</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+        <span class="n">data</span> <span class="o">=</span> <span class="n">standardize_values</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+        <span class="n">data</span> <span class="o">=</span> <span class="n">standardize_names</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">FEATURE_NAMES</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+        <span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="o">*</span><span class="n">ordered_dims</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">dims</span><span class="p">),</span> <span class="o">...</span><span class="p">)</span>
+        <span class="n">features</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">dims</span><span class="p">)</span> <span class="k">if</span> <span class="n">features</span> <span class="o">==</span> <span class="p">[]</span> <span class="k">else</span> <span class="n">features</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">features</span><span class="p">]</span> <span class="k">if</span> <span class="n">features</span> <span class="o">!=</span> <span class="s1">&#39;all&#39;</span> <span class="k">else</span> <span class="n">data</span>
+
+        <span class="k">if</span> <span class="s1">&#39;meta&#39;</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">meta</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="o">.</span><span class="n">meta</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">chunks</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Pre-loading data into memory for: </span><span class="si">{</span><span class="n">features</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">compute</span><span class="p">()</span>
+
+    <span class="k">def</span> <span class="nf">_parse_chunks</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dims</span><span class="p">,</span> <span class="n">feature</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get chunks for given dimensions from ``self.chunks``.&quot;&quot;&quot;</span>
+        <span class="n">chunks</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">chunks</span><span class="p">)</span>
+        <span class="k">if</span> <span class="p">(</span>
+            <span class="nb">isinstance</span><span class="p">(</span><span class="n">chunks</span><span class="p">,</span> <span class="nb">dict</span><span class="p">)</span>
+            <span class="ow">and</span> <span class="n">feature</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+            <span class="ow">and</span> <span class="n">feature</span> <span class="ow">in</span> <span class="n">chunks</span>
+        <span class="p">):</span>
+            <span class="n">chunks</span> <span class="o">=</span> <span class="n">chunks</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">chunks</span><span class="p">,</span> <span class="nb">dict</span><span class="p">):</span>
+            <span class="n">chunks</span> <span class="o">=</span> <span class="p">{</span><span class="n">k</span><span class="p">:</span> <span class="n">v</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">chunks</span><span class="o">.</span><span class="n">items</span><span class="p">()</span> <span class="k">if</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">dims</span><span class="p">}</span>
+        <span class="k">return</span> <span class="n">chunks</span>
+
+    <span class="k">def</span> <span class="nf">_add_attrs</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Add meta data to dataset.&quot;&quot;&quot;</span>
+        <span class="n">attrs</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;source_files&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">file_paths</span><span class="p">}</span>
+        <span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;global_attrs&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="p">,</span> <span class="s1">&#39;global_attrs&#39;</span><span class="p">,</span> <span class="p">[])</span>
+        <span class="n">attrs</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="p">,</span> <span class="s1">&#39;attrs&#39;</span><span class="p">,</span> <span class="p">{}))</span>
+        <span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;date_modified&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">attrs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span>
+            <span class="s1">&#39;date_modified&#39;</span><span class="p">,</span> <span class="n">dt</span><span class="o">.</span><span class="n">utcnow</span><span class="p">()</span><span class="o">.</span><span class="n">isoformat</span><span class="p">()</span>
+        <span class="p">)</span>
+        <span class="n">data</span><span class="o">.</span><span class="n">attrs</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">attrs</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">data</span>
+
+    <span class="k">def</span> <span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="k">return</span> <span class="bp">self</span>
+
+    <span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">exc_type</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">,</span> <span class="n">trace</span><span class="p">):</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">file_paths</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get file paths for input data&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_file_paths</span>
+
+    <span class="nd">@file_paths</span><span class="o">.</span><span class="n">setter</span>
+    <span class="k">def</span> <span class="nf">file_paths</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_paths</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Set file paths attr and do initial glob / sort</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        file_paths : str | list</span>
+<span class="sd">            A list of files to extract raster data from. Each file must have</span>
+<span class="sd">            the same number of timesteps. Can also pass a string or list of</span>
+<span class="sd">            strings with a unix-style file path which will be passed through</span>
+<span class="sd">            glob.glob</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_file_paths</span> <span class="o">=</span> <span class="n">expand_paths</span><span class="p">(</span><span class="n">file_paths</span><span class="p">)</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;No valid files provided to </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s1">. &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;Received file_paths=</span><span class="si">{</span><span class="n">file_paths</span><span class="si">}</span><span class="s1">. Aborting.&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="n">file_paths</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_file_paths</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">,</span> <span class="n">msg</span>
+
+    <span class="nd">@abstractmethod</span>
+    <span class="k">def</span> <span class="nf">_load</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;&#39;Load&#39; data into this container. Does not actually load from disk</span>
+<span class="sd">        into memory. Just wraps data from files in an xarray.Dataset.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        xr.Dataset</span>
+<span class="sd">        &quot;&quot;&quot;</span></div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.preprocessing.loaders.h5</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Base loading class for H5 files.</span>
+
+<span class="sd">TODO: Explore replacing rex handlers with xarray. xarray should be able to</span>
+<span class="sd">load H5 files fine. We would still need get_raster_index method in Rasterizers</span>
+<span class="sd">though.</span>
+<span class="sd">&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">Tuple</span>
+<span class="kn">from</span> <span class="nn">warnings</span> <span class="kn">import</span> <span class="n">warn</span>
+
+<span class="kn">import</span> <span class="nn">dask.array</span> <span class="k">as</span> <span class="nn">da</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">xarray</span> <span class="k">as</span> <span class="nn">xr</span>
+<span class="kn">from</span> <span class="nn">rex</span> <span class="kn">import</span> <span class="n">MultiFileWindX</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.names</span> <span class="kn">import</span> <span class="n">Dimension</span>
+
+<span class="kn">from</span> <span class="nn">.base</span> <span class="kn">import</span> <span class="n">BaseLoader</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="LoaderH5">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.loaders.h5.LoaderH5.html#sup3r.preprocessing.loaders.h5.LoaderH5">[docs]</a>
+<span class="k">class</span> <span class="nc">LoaderH5</span><span class="p">(</span><span class="n">BaseLoader</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Base H5 loader. &quot;Loads&quot; h5 files so that a `.data` attribute</span>
+<span class="sd">    provides access to the data in the files. This object provides a</span>
+<span class="sd">    `__getitem__` method that can be used by</span>
+<span class="sd">    :class:`~sup3r.preprocessing.samplers.Sampler` objects to build batches or</span>
+<span class="sd">    by :class:`~sup3r.preprocessing.rasterizers.Rasterizer` objects to derive /</span>
+<span class="sd">    extract specific features / regions / time_periods.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">BASE_LOADER</span> <span class="o">=</span> <span class="n">MultiFileWindX</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">_time_independent</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="k">return</span> <span class="s1">&#39;time_index&#39;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">res</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">_time_steps</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="k">return</span> <span class="p">(</span>
+            <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="p">[</span><span class="s1">&#39;time_index&#39;</span><span class="p">])</span> <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_time_independent</span> <span class="k">else</span> <span class="kc">None</span>
+        <span class="p">)</span>
+
+    <span class="k">def</span> <span class="nf">_meta_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get shape of spatial domain only.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="s1">&#39;latitude&#39;</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="o">.</span><span class="n">h5</span><span class="p">:</span>
+            <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="o">.</span><span class="n">h5</span><span class="p">[</span><span class="s1">&#39;latitude&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="o">.</span><span class="n">h5</span><span class="p">[</span><span class="s1">&#39;meta&#39;</span><span class="p">][</span><span class="s1">&#39;latitude&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span>
+
+    <span class="k">def</span> <span class="nf">_is_spatial_dset</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if given data is spatial only. We compare against the size of</span>
+<span class="sd">        the meta.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">)</span> <span class="o">==</span> <span class="bp">self</span><span class="o">.</span><span class="n">_meta_shape</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span>
+
+    <span class="k">def</span> <span class="nf">_res_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get shape of H5 file.</span>
+
+<span class="sd">        Note</span>
+<span class="sd">        ----</span>
+<span class="sd">        Flattened files are 2D but we have 3D H5 files available through</span>
+<span class="sd">        caching and bias correction factor calculations.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_meta_shape</span><span class="p">()</span>
+            <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_time_independent</span>
+            <span class="k">else</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_time_steps</span><span class="p">,</span> <span class="o">*</span><span class="bp">self</span><span class="o">.</span><span class="n">_meta_shape</span><span class="p">())</span>
+        <span class="p">)</span>
+
+    <span class="k">def</span> <span class="nf">_get_coords</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dims</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get coords dict for xr.Dataset construction.&quot;&quot;&quot;</span>
+        <span class="n">coords</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_time_independent</span><span class="p">:</span>
+            <span class="n">coords</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="p">[</span><span class="s1">&#39;time_index&#39;</span><span class="p">]</span>
+        <span class="n">coord_base</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="o">.</span><span class="n">h5</span> <span class="k">if</span> <span class="s1">&#39;latitude&#39;</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="o">.</span><span class="n">h5</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="o">.</span><span class="n">h5</span><span class="p">[</span><span class="s1">&#39;meta&#39;</span><span class="p">]</span>
+        <span class="p">)</span>
+        <span class="n">coord_dims</span> <span class="o">=</span> <span class="n">dims</span><span class="p">[</span><span class="o">-</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_meta_shape</span><span class="p">())</span> <span class="p">:]</span>
+        <span class="n">chunks</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_parse_chunks</span><span class="p">(</span><span class="n">coord_dims</span><span class="p">)</span>
+        <span class="n">lats</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span>
+            <span class="n">coord_base</span><span class="p">[</span><span class="s1">&#39;latitude&#39;</span><span class="p">],</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="n">chunks</span><span class="o">=</span><span class="n">chunks</span>
+        <span class="p">)</span>
+        <span class="n">lats</span> <span class="o">=</span> <span class="p">(</span><span class="n">coord_dims</span><span class="p">,</span> <span class="n">lats</span><span class="p">)</span>
+        <span class="n">lons</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span>
+            <span class="n">coord_base</span><span class="p">[</span><span class="s1">&#39;longitude&#39;</span><span class="p">],</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="n">chunks</span><span class="o">=</span><span class="n">chunks</span>
+        <span class="p">)</span>
+        <span class="n">lons</span> <span class="o">=</span> <span class="p">(</span><span class="n">coord_dims</span><span class="p">,</span> <span class="n">lons</span><span class="p">)</span>
+        <span class="n">coords</span><span class="o">.</span><span class="n">update</span><span class="p">({</span><span class="n">Dimension</span><span class="o">.</span><span class="n">LATITUDE</span><span class="p">:</span> <span class="n">lats</span><span class="p">,</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">LONGITUDE</span><span class="p">:</span> <span class="n">lons</span><span class="p">})</span>
+        <span class="k">return</span> <span class="n">coords</span>
+
+    <span class="k">def</span> <span class="nf">_get_dset_tuple</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dset</span><span class="p">,</span> <span class="n">dims</span><span class="p">,</span> <span class="n">chunks</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get tuple of (dims, array, attrs) for given dataset. Used in</span>
+<span class="sd">        data_vars entries. This accounts for multiple data shapes and</span>
+<span class="sd">        dimensions. e.g. Data can be 2D spatial only, 2D flattened</span>
+<span class="sd">        spatiotemporal, 3D spatiotemporal, 4D spatiotemporal (with presssure</span>
+<span class="sd">        levels), etc</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="c1"># if self.res includes time-dependent and time-independent variables</span>
+        <span class="c1"># and chunks is 3-tuple we only use the spatial chunk for</span>
+        <span class="c1"># time-indepdent variables</span>
+        <span class="n">dset_chunks</span> <span class="o">=</span> <span class="n">chunks</span>
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">chunks</span><span class="p">)</span> <span class="o">==</span> <span class="mi">3</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="o">.</span><span class="n">h5</span><span class="p">[</span><span class="n">dset</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">:</span>
+            <span class="n">dset_chunks</span> <span class="o">=</span> <span class="n">chunks</span><span class="p">[</span><span class="o">-</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="o">.</span><span class="n">h5</span><span class="p">[</span><span class="n">dset</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span><span class="p">)]</span>
+        <span class="n">arr</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="o">.</span><span class="n">h5</span><span class="p">[</span><span class="n">dset</span><span class="p">],</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="n">chunks</span><span class="o">=</span><span class="n">dset_chunks</span>
+        <span class="p">)</span>
+        <span class="n">arr</span> <span class="o">/=</span> <span class="bp">self</span><span class="o">.</span><span class="n">scale_factor</span><span class="p">(</span><span class="n">dset</span><span class="p">)</span>
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">arr</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">4</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">dset</span><span class="si">}</span><span class="s1"> array is 4 dimensional. Assuming this is an array &#39;</span>
+                <span class="s1">&#39;of spatiotemporal quantiles.&#39;</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">arr_dims</span> <span class="o">=</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">dims_4d_bc</span><span class="p">()</span>
+        <span class="k">elif</span> <span class="nb">len</span><span class="p">(</span><span class="n">arr</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">3</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">_time_independent</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">dset</span><span class="si">}</span><span class="s1"> array is 3 dimensional but </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">file_paths</span><span class="si">}</span><span class="s1"> has &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;no time index. Assuming this is an array of bias correction &#39;</span>
+                <span class="s1">&#39;factors.&#39;</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">if</span> <span class="n">arr</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+                <span class="n">arr_dims</span> <span class="o">=</span> <span class="p">(</span><span class="o">*</span><span class="n">Dimension</span><span class="o">.</span><span class="n">dims_2d</span><span class="p">(),</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">GLOBAL_TIME</span><span class="p">)</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">arr_dims</span> <span class="o">=</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">dims_3d</span><span class="p">()</span>
+        <span class="k">elif</span> <span class="bp">self</span><span class="o">.</span><span class="n">_is_spatial_dset</span><span class="p">(</span><span class="n">arr</span><span class="p">):</span>
+            <span class="n">arr_dims</span> <span class="o">=</span> <span class="p">(</span><span class="n">Dimension</span><span class="o">.</span><span class="n">FLATTENED_SPATIAL</span><span class="p">,)</span>
+        <span class="k">elif</span> <span class="nb">len</span><span class="p">(</span><span class="n">arr</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">:</span>
+            <span class="n">arr_dims</span> <span class="o">=</span> <span class="n">dims</span><span class="p">[</span><span class="o">-</span><span class="nb">len</span><span class="p">(</span><span class="n">arr</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="p">:]</span>
+        <span class="k">elif</span> <span class="nb">len</span><span class="p">(</span><span class="n">arr</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;Received 1D feature &quot;</span><span class="si">{</span><span class="n">dset</span><span class="si">}</span><span class="s1">&quot; with shape that does not &#39;</span>
+                <span class="s1">&#39;the length of the meta nor the time_index.&#39;</span>
+            <span class="p">)</span>
+            <span class="n">is_ts</span> <span class="o">=</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_time_independent</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">arr</span><span class="p">)</span> <span class="o">==</span> <span class="bp">self</span><span class="o">.</span><span class="n">_time_steps</span>
+            <span class="k">assert</span> <span class="n">is_ts</span><span class="p">,</span> <span class="n">msg</span>
+            <span class="n">arr_dims</span> <span class="o">=</span> <span class="p">(</span><span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">,)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">arr_dims</span> <span class="o">=</span> <span class="n">dims</span><span class="p">[:</span> <span class="nb">len</span><span class="p">(</span><span class="n">arr</span><span class="o">.</span><span class="n">shape</span><span class="p">)]</span>
+        <span class="k">return</span> <span class="p">(</span><span class="n">arr_dims</span><span class="p">,</span> <span class="n">arr</span><span class="p">,</span> <span class="nb">dict</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="o">.</span><span class="n">h5</span><span class="p">[</span><span class="n">dset</span><span class="p">]</span><span class="o">.</span><span class="n">attrs</span><span class="p">))</span>
+
+    <span class="k">def</span> <span class="nf">_parse_chunks</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dims</span><span class="p">,</span> <span class="n">feature</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get chunks for given dimensions from ``self.chunks``.&quot;&quot;&quot;</span>
+        <span class="n">chunks</span> <span class="o">=</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">_parse_chunks</span><span class="p">(</span><span class="n">dims</span><span class="o">=</span><span class="n">dims</span><span class="p">,</span> <span class="n">feature</span><span class="o">=</span><span class="n">feature</span><span class="p">)</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">chunks</span><span class="p">,</span> <span class="nb">dict</span><span class="p">):</span>
+            <span class="k">return</span> <span class="n">chunks</span>
+        <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">chunks</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">d</span><span class="p">,</span> <span class="s1">&#39;auto&#39;</span><span class="p">)</span> <span class="k">for</span> <span class="n">d</span> <span class="ow">in</span> <span class="n">dims</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="nf">_check_for_elevation</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data_vars</span><span class="p">,</span> <span class="n">dims</span><span class="p">,</span> <span class="n">chunks</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if this is a flattened h5 file with elevation data and add</span>
+<span class="sd">        elevation to data_vars if it is.&quot;&quot;&quot;</span>
+
+        <span class="n">flattened_with_elevation</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_meta_shape</span><span class="p">())</span> <span class="o">==</span> <span class="mi">1</span>
+            <span class="ow">and</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="p">,</span> <span class="s1">&#39;meta&#39;</span><span class="p">)</span>
+            <span class="ow">and</span> <span class="s1">&#39;elevation&#39;</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="o">.</span><span class="n">meta</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="n">flattened_with_elevation</span><span class="p">:</span>
+            <span class="n">elev</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="o">.</span><span class="n">meta</span><span class="p">[</span><span class="s1">&#39;elevation&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+            <span class="n">elev</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">elev</span><span class="p">)</span>
+            <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_time_independent</span><span class="p">:</span>
+                <span class="n">t_steps</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="p">[</span><span class="s1">&#39;time_index&#39;</span><span class="p">])</span>
+                <span class="n">elev</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">repeat</span><span class="p">(</span><span class="n">elev</span><span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="o">...</span><span class="p">],</span> <span class="n">t_steps</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+            <span class="n">elev</span> <span class="o">=</span> <span class="n">elev</span><span class="o">.</span><span class="n">rechunk</span><span class="p">(</span><span class="n">chunks</span><span class="p">)</span>
+            <span class="n">data_vars</span><span class="p">[</span><span class="s1">&#39;elevation&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">dims</span><span class="p">,</span> <span class="n">elev</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">data_vars</span>
+
+    <span class="k">def</span> <span class="nf">_get_data_vars</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dims</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Define data_vars dict for xr.Dataset construction.&quot;&quot;&quot;</span>
+        <span class="n">data_vars</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Rechunking features with chunks: </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">chunks</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+        <span class="n">chunks</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_parse_chunks</span><span class="p">(</span><span class="n">dims</span><span class="p">)</span>
+        <span class="n">data_vars</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_check_for_elevation</span><span class="p">(</span>
+            <span class="n">data_vars</span><span class="p">,</span> <span class="n">dims</span><span class="o">=</span><span class="n">dims</span><span class="p">,</span> <span class="n">chunks</span><span class="o">=</span><span class="n">chunks</span>
+        <span class="p">)</span>
+
+        <span class="n">feats</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="o">.</span><span class="n">h5</span><span class="o">.</span><span class="n">datasets</span><span class="p">)</span>
+        <span class="n">exclude</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="s1">&#39;meta&#39;</span><span class="p">,</span>
+            <span class="s1">&#39;time_index&#39;</span><span class="p">,</span>
+            <span class="s1">&#39;coordinates&#39;</span><span class="p">,</span>
+            <span class="s1">&#39;latitude&#39;</span><span class="p">,</span>
+            <span class="s1">&#39;longitude&#39;</span><span class="p">,</span>
+        <span class="p">}</span>
+        <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">feats</span> <span class="o">-</span> <span class="n">exclude</span><span class="p">:</span>
+            <span class="n">data_vars</span><span class="p">[</span><span class="n">f</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_dset_tuple</span><span class="p">(</span>
+                <span class="n">dset</span><span class="o">=</span><span class="n">f</span><span class="p">,</span> <span class="n">dims</span><span class="o">=</span><span class="n">dims</span><span class="p">,</span> <span class="n">chunks</span><span class="o">=</span><span class="n">chunks</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="n">data_vars</span>
+
+    <span class="k">def</span> <span class="nf">_get_dims</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get tuple of named dims for dataset.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_meta_shape</span><span class="p">())</span> <span class="o">==</span> <span class="mi">2</span><span class="p">:</span>
+            <span class="n">dims</span> <span class="o">=</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">dims_2d</span><span class="p">()</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">dims</span> <span class="o">=</span> <span class="p">(</span><span class="n">Dimension</span><span class="o">.</span><span class="n">FLATTENED_SPATIAL</span><span class="p">,)</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_time_independent</span><span class="p">:</span>
+            <span class="n">dims</span> <span class="o">=</span> <span class="p">(</span><span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">,</span> <span class="o">*</span><span class="n">dims</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">dims</span>
+
+    <span class="k">def</span> <span class="nf">_load</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">:</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Wrap data in xarray.Dataset(). Handle differences with flattened and</span>
+<span class="sd">        cached h5.&quot;&quot;&quot;</span>
+        <span class="n">dims</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_dims</span><span class="p">()</span>
+        <span class="n">coords</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_coords</span><span class="p">(</span><span class="n">dims</span><span class="p">)</span>
+        <span class="n">data_vars</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="n">k</span><span class="p">:</span> <span class="n">v</span>
+            <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_data_vars</span><span class="p">(</span><span class="n">dims</span><span class="p">)</span><span class="o">.</span><span class="n">items</span><span class="p">()</span>
+            <span class="k">if</span> <span class="n">k</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">coords</span>
+        <span class="p">}</span>
+        <span class="k">return</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">(</span><span class="n">coords</span><span class="o">=</span><span class="n">coords</span><span class="p">,</span> <span class="n">data_vars</span><span class="o">=</span><span class="n">data_vars</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span>
+            <span class="n">np</span><span class="o">.</span><span class="n">float32</span>
+        <span class="p">)</span>
+
+<div class="viewcode-block" id="LoaderH5.scale_factor">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.loaders.h5.LoaderH5.html#sup3r.preprocessing.loaders.h5.LoaderH5.scale_factor">[docs]</a>
+    <span class="k">def</span> <span class="nf">scale_factor</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">feature</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get scale factor for given feature. Data is stored in scaled form to</span>
+<span class="sd">        reduce memory.&quot;&quot;&quot;</span>
+        <span class="n">feat</span> <span class="o">=</span> <span class="n">feature</span> <span class="k">if</span> <span class="n">feature</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="o">.</span><span class="n">datasets</span> <span class="k">else</span> <span class="n">feature</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span>
+        <span class="n">feat</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="o">.</span><span class="n">h5</span><span class="p">[</span><span class="n">feat</span><span class="p">]</span>
+        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">(</span>
+            <span class="mf">1.0</span>
+            <span class="k">if</span> <span class="ow">not</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">feat</span><span class="p">,</span> <span class="s1">&#39;attrs&#39;</span><span class="p">)</span>
+            <span class="k">else</span> <span class="n">feat</span><span class="o">.</span><span class="n">attrs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;scale_factor&#39;</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">)</span>
+        <span class="p">)</span></div>
+</div>
+
+</pre></div>
+
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+  <h1>Source code for sup3r.preprocessing.loaders.nc</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Base loading classes. These are containers which also load data from</span>
+<span class="sd">file_paths and include some sampling ability to interface with batcher</span>
+<span class="sd">classes.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">from</span> <span class="nn">warnings</span> <span class="kn">import</span> <span class="n">warn</span>
+
+<span class="kn">import</span> <span class="nn">dask.array</span> <span class="k">as</span> <span class="nn">da</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.names</span> <span class="kn">import</span> <span class="n">COORD_NAMES</span><span class="p">,</span> <span class="n">DIM_NAMES</span><span class="p">,</span> <span class="n">Dimension</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="n">lower_names</span><span class="p">,</span> <span class="n">ordered_dims</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.utilities</span> <span class="kn">import</span> <span class="n">xr_open_mfdataset</span>
+
+<span class="kn">from</span> <span class="nn">.base</span> <span class="kn">import</span> <span class="n">BaseLoader</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="LoaderNC">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.loaders.nc.LoaderNC.html#sup3r.preprocessing.loaders.nc.LoaderNC">[docs]</a>
+<span class="k">class</span> <span class="nc">LoaderNC</span><span class="p">(</span><span class="n">BaseLoader</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Base NETCDF loader. &quot;Loads&quot; netcdf files so that a ``.data`` attribute</span>
+<span class="sd">    provides access to the data in the files. This object provides a</span>
+<span class="sd">    ``__getitem__`` method that can be used by Sampler objects to build batches</span>
+<span class="sd">    or by other objects to derive / extract specific features / regions /</span>
+<span class="sd">    time_periods.&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="LoaderNC.BASE_LOADER">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.loaders.nc.LoaderNC.html#sup3r.preprocessing.loaders.nc.LoaderNC.BASE_LOADER">[docs]</a>
+    <span class="k">def</span> <span class="nf">BASE_LOADER</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">file_paths</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Lowest level interface to data.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="n">xr_open_mfdataset</span><span class="p">(</span><span class="n">file_paths</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
+
+
+    <span class="k">def</span> <span class="nf">_enforce_descending_lats</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dset</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Make sure latitudes are in descending order so that min lat / lon is</span>
+<span class="sd">        at ``lat_lon[-1, 0]``.&quot;&quot;&quot;</span>
+        <span class="n">invert_lats</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">dset</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">LATITUDE</span><span class="p">][</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">&gt;</span> <span class="n">dset</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">LATITUDE</span><span class="p">][</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="n">invert_lats</span><span class="p">:</span>
+            <span class="k">for</span> <span class="n">var</span> <span class="ow">in</span> <span class="p">[</span><span class="o">*</span><span class="nb">list</span><span class="p">(</span><span class="n">Dimension</span><span class="o">.</span><span class="n">coords_2d</span><span class="p">()),</span> <span class="o">*</span><span class="nb">list</span><span class="p">(</span><span class="n">dset</span><span class="o">.</span><span class="n">data_vars</span><span class="p">)]:</span>
+                <span class="k">if</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">SOUTH_NORTH</span> <span class="ow">in</span> <span class="n">dset</span><span class="p">[</span><span class="n">var</span><span class="p">]</span><span class="o">.</span><span class="n">dims</span><span class="p">:</span>
+                    <span class="n">new_var</span> <span class="o">=</span> <span class="n">dset</span><span class="p">[</span><span class="n">var</span><span class="p">]</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="n">south_north</span><span class="o">=</span><span class="nb">slice</span><span class="p">(</span><span class="kc">None</span><span class="p">,</span> <span class="kc">None</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">))</span>
+                    <span class="n">dset</span><span class="o">.</span><span class="n">update</span><span class="p">({</span><span class="n">var</span><span class="p">:</span> <span class="n">new_var</span><span class="p">})</span>
+        <span class="k">return</span> <span class="n">dset</span>
+
+    <span class="k">def</span> <span class="nf">_enforce_descending_levels</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dset</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Make sure levels are in descending order so that max pressure is at</span>
+<span class="sd">        ``level[0]``.&quot;&quot;&quot;</span>
+        <span class="n">invert_levels</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">dset</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">PRESSURE_LEVEL</span><span class="p">][</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+            <span class="o">&gt;</span> <span class="n">dset</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">PRESSURE_LEVEL</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
+            <span class="k">if</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">PRESSURE_LEVEL</span> <span class="ow">in</span> <span class="n">dset</span>
+            <span class="k">else</span> <span class="kc">False</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="n">invert_levels</span><span class="p">:</span>
+            <span class="k">for</span> <span class="n">var</span> <span class="ow">in</span> <span class="nb">list</span><span class="p">(</span><span class="n">dset</span><span class="o">.</span><span class="n">data_vars</span><span class="p">):</span>
+                <span class="k">if</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">PRESSURE_LEVEL</span> <span class="ow">in</span> <span class="n">dset</span><span class="p">[</span><span class="n">var</span><span class="p">]</span><span class="o">.</span><span class="n">dims</span><span class="p">:</span>
+                    <span class="n">new_var</span> <span class="o">=</span> <span class="n">dset</span><span class="p">[</span><span class="n">var</span><span class="p">]</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span>
+                        <span class="p">{</span><span class="n">Dimension</span><span class="o">.</span><span class="n">PRESSURE_LEVEL</span><span class="p">:</span> <span class="nb">slice</span><span class="p">(</span><span class="kc">None</span><span class="p">,</span> <span class="kc">None</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">)}</span>
+                    <span class="p">)</span>
+                    <span class="n">dset</span><span class="o">.</span><span class="n">update</span><span class="p">(</span>
+                        <span class="p">{</span><span class="n">var</span><span class="p">:</span> <span class="p">(</span><span class="n">dset</span><span class="p">[</span><span class="n">var</span><span class="p">]</span><span class="o">.</span><span class="n">dims</span><span class="p">,</span> <span class="n">new_var</span><span class="o">.</span><span class="n">data</span><span class="p">,</span> <span class="n">dset</span><span class="p">[</span><span class="n">var</span><span class="p">]</span><span class="o">.</span><span class="n">attrs</span><span class="p">)}</span>
+                    <span class="p">)</span>
+            <span class="n">new_press</span> <span class="o">=</span> <span class="n">dset</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">PRESSURE_LEVEL</span><span class="p">][::</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+            <span class="n">dset</span><span class="o">.</span><span class="n">update</span><span class="p">({</span><span class="n">Dimension</span><span class="o">.</span><span class="n">PRESSURE_LEVEL</span><span class="p">:</span> <span class="n">new_press</span><span class="p">})</span>
+        <span class="k">return</span> <span class="n">dset</span>
+
+<div class="viewcode-block" id="LoaderNC.get_coords">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.loaders.nc.LoaderNC.html#sup3r.preprocessing.loaders.nc.LoaderNC.get_coords">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">get_coords</span><span class="p">(</span><span class="n">res</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get coordinate dictionary to use in</span>
+<span class="sd">        ``xr.Dataset().assign_coords()``.&quot;&quot;&quot;</span>
+        <span class="n">lats</span> <span class="o">=</span> <span class="n">res</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">LATITUDE</span><span class="p">]</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+        <span class="n">lons</span> <span class="o">=</span> <span class="n">res</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">LONGITUDE</span><span class="p">]</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+
+        <span class="c1"># remove time dimension if there&#39;s a single time step</span>
+        <span class="k">if</span> <span class="n">lats</span><span class="o">.</span><span class="n">ndim</span> <span class="o">==</span> <span class="mi">3</span><span class="p">:</span>
+            <span class="n">lats</span> <span class="o">=</span> <span class="n">lats</span><span class="o">.</span><span class="n">squeeze</span><span class="p">()</span>
+        <span class="k">if</span> <span class="n">lons</span><span class="o">.</span><span class="n">ndim</span> <span class="o">==</span> <span class="mi">3</span><span class="p">:</span>
+            <span class="n">lons</span> <span class="o">=</span> <span class="n">lons</span><span class="o">.</span><span class="n">squeeze</span><span class="p">()</span>
+
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">lats</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">lons</span><span class="p">,</span> <span class="n">lats</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">meshgrid</span><span class="p">(</span><span class="n">lons</span><span class="p">,</span> <span class="n">lats</span><span class="p">)</span>
+
+        <span class="n">lats</span> <span class="o">=</span> <span class="p">((</span><span class="n">Dimension</span><span class="o">.</span><span class="n">SOUTH_NORTH</span><span class="p">,</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">WEST_EAST</span><span class="p">),</span> <span class="n">lats</span><span class="p">)</span>
+        <span class="n">lons</span> <span class="o">=</span> <span class="p">((</span><span class="n">Dimension</span><span class="o">.</span><span class="n">SOUTH_NORTH</span><span class="p">,</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">WEST_EAST</span><span class="p">),</span> <span class="n">lons</span><span class="p">)</span>
+        <span class="n">coords</span> <span class="o">=</span> <span class="p">{</span><span class="n">Dimension</span><span class="o">.</span><span class="n">LATITUDE</span><span class="p">:</span> <span class="n">lats</span><span class="p">,</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">LONGITUDE</span><span class="p">:</span> <span class="n">lons</span><span class="p">}</span>
+
+        <span class="k">if</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span> <span class="ow">in</span> <span class="n">res</span><span class="p">:</span>
+            <span class="k">if</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span> <span class="ow">in</span> <span class="n">res</span><span class="o">.</span><span class="n">indexes</span><span class="p">:</span>
+                <span class="n">times</span> <span class="o">=</span> <span class="n">res</span><span class="o">.</span><span class="n">indexes</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">]</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">times</span> <span class="o">=</span> <span class="n">res</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">]</span>
+
+            <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">times</span><span class="p">,</span> <span class="s1">&#39;to_datetimeindex&#39;</span><span class="p">):</span>
+                <span class="n">times</span> <span class="o">=</span> <span class="n">times</span><span class="o">.</span><span class="n">to_datetimeindex</span><span class="p">()</span>
+
+            <span class="n">coords</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">]</span> <span class="o">=</span> <span class="n">times</span>
+        <span class="k">return</span> <span class="n">coords</span></div>
+
+
+<div class="viewcode-block" id="LoaderNC.get_dims">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.loaders.nc.LoaderNC.html#sup3r.preprocessing.loaders.nc.LoaderNC.get_dims">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">get_dims</span><span class="p">(</span><span class="n">res</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get dimension name map using our standard mappping and the names</span>
+<span class="sd">        used for coordinate dimensions.&quot;&quot;&quot;</span>
+        <span class="n">rename_dims</span> <span class="o">=</span> <span class="p">{</span><span class="n">k</span><span class="p">:</span> <span class="n">v</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">DIM_NAMES</span><span class="o">.</span><span class="n">items</span><span class="p">()</span> <span class="k">if</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">res</span><span class="o">.</span><span class="n">dims</span><span class="p">}</span>
+        <span class="n">lat_dims</span> <span class="o">=</span> <span class="n">res</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">LATITUDE</span><span class="p">]</span><span class="o">.</span><span class="n">dims</span>
+        <span class="n">lon_dims</span> <span class="o">=</span> <span class="n">res</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">LONGITUDE</span><span class="p">]</span><span class="o">.</span><span class="n">dims</span>
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">lat_dims</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">lon_dims</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">rename_dims</span><span class="p">[</span><span class="n">lat_dims</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span> <span class="o">=</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">SOUTH_NORTH</span>
+            <span class="n">rename_dims</span><span class="p">[</span><span class="n">lon_dims</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span> <span class="o">=</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">WEST_EAST</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Latitude and Longitude dimension names are different. &#39;</span>
+                <span class="s1">&#39;This is weird.&#39;</span>
+            <span class="p">)</span>
+            <span class="k">if</span> <span class="n">lon_dims</span> <span class="o">!=</span> <span class="n">lat_dims</span><span class="p">:</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">rename_dims</span><span class="o">.</span><span class="n">update</span><span class="p">(</span>
+                    <span class="nb">dict</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="n">ordered_dims</span><span class="p">(</span><span class="n">lat_dims</span><span class="p">),</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">dims_2d</span><span class="p">()))</span>
+                <span class="p">)</span>
+        <span class="k">return</span> <span class="n">rename_dims</span></div>
+
+
+    <span class="k">def</span> <span class="nf">_rechunk_dsets</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">res</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Apply given chunk values for each field in res.coords and</span>
+<span class="sd">        res.data_vars.&quot;&quot;&quot;</span>
+        <span class="k">for</span> <span class="n">dset</span> <span class="ow">in</span> <span class="p">[</span><span class="o">*</span><span class="nb">list</span><span class="p">(</span><span class="n">res</span><span class="o">.</span><span class="n">coords</span><span class="p">),</span> <span class="o">*</span><span class="nb">list</span><span class="p">(</span><span class="n">res</span><span class="o">.</span><span class="n">data_vars</span><span class="p">)]:</span>
+            <span class="n">chunks</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_parse_chunks</span><span class="p">(</span><span class="n">dims</span><span class="o">=</span><span class="n">res</span><span class="p">[</span><span class="n">dset</span><span class="p">]</span><span class="o">.</span><span class="n">dims</span><span class="p">,</span> <span class="n">feature</span><span class="o">=</span><span class="n">dset</span><span class="p">)</span>
+            <span class="k">if</span> <span class="n">chunks</span> <span class="o">!=</span> <span class="s1">&#39;auto&#39;</span><span class="p">:</span>
+                <span class="n">res</span><span class="p">[</span><span class="n">dset</span><span class="p">]</span> <span class="o">=</span> <span class="n">res</span><span class="p">[</span><span class="n">dset</span><span class="p">]</span><span class="o">.</span><span class="n">chunk</span><span class="p">(</span><span class="n">chunks</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">res</span>
+
+    <span class="k">def</span> <span class="nf">_load</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Load netcdf ``xarray.Dataset()``.&quot;&quot;&quot;</span>
+        <span class="n">res</span> <span class="o">=</span> <span class="n">lower_names</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">res</span><span class="p">)</span>
+        <span class="n">rename_coords</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="n">k</span><span class="p">:</span> <span class="n">v</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">COORD_NAMES</span><span class="o">.</span><span class="n">items</span><span class="p">()</span> <span class="k">if</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">res</span> <span class="ow">and</span> <span class="n">v</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">res</span>
+        <span class="p">}</span>
+        <span class="n">res</span> <span class="o">=</span> <span class="n">res</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">rename_coords</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="ow">not</span> <span class="nb">all</span><span class="p">(</span><span class="n">coord</span> <span class="ow">in</span> <span class="n">res</span> <span class="k">for</span> <span class="n">coord</span> <span class="ow">in</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">coords_2d</span><span class="p">()):</span>
+            <span class="n">err</span> <span class="o">=</span> <span class="s1">&#39;Could not find valid coordinates in given files: </span><span class="si">%s</span><span class="s1">&#39;</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">err</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">file_paths</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">OSError</span><span class="p">(</span><span class="n">err</span> <span class="o">%</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">file_paths</span><span class="p">))</span>
+
+        <span class="n">res</span> <span class="o">=</span> <span class="n">res</span><span class="o">.</span><span class="n">swap_dims</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">get_dims</span><span class="p">(</span><span class="n">res</span><span class="p">))</span>
+        <span class="n">res</span> <span class="o">=</span> <span class="n">res</span><span class="o">.</span><span class="n">assign_coords</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">get_coords</span><span class="p">(</span><span class="n">res</span><span class="p">))</span>
+        <span class="n">res</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_enforce_descending_lats</span><span class="p">(</span><span class="n">res</span><span class="p">)</span>
+        <span class="n">res</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_rechunk_dsets</span><span class="p">(</span><span class="n">res</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_enforce_descending_levels</span><span class="p">(</span><span class="n">res</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span></div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.preprocessing.loaders.utilities</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Utilities used by Loaders.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.names</span> <span class="kn">import</span> <span class="n">Dimension</span>
+
+
+<div class="viewcode-block" id="standardize_names">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.loaders.utilities.standardize_names.html#sup3r.preprocessing.loaders.utilities.standardize_names">[docs]</a>
+<span class="k">def</span> <span class="nf">standardize_names</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">standard_names</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Standardize fields in the dataset using the `standard_names`</span>
+<span class="sd">    dictionary.&quot;&quot;&quot;</span>
+    <span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">rename</span><span class="p">({</span><span class="n">k</span><span class="p">:</span> <span class="n">v</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">standard_names</span><span class="o">.</span><span class="n">items</span><span class="p">()</span> <span class="k">if</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">data</span><span class="p">})</span>
+    <span class="k">return</span> <span class="n">data</span></div>
+
+
+
+<div class="viewcode-block" id="standardize_values">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.loaders.utilities.standardize_values.html#sup3r.preprocessing.loaders.utilities.standardize_values">[docs]</a>
+<span class="k">def</span> <span class="nf">standardize_values</span><span class="p">(</span><span class="n">data</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Standardize units and coordinate values. e.g. All temperatures in</span>
+<span class="sd">    celsius, all longitudes between -180 and 180, etc.</span>
+
+<span class="sd">    data : xr.Dataset</span>
+<span class="sd">        xarray dataset to be updated with standardized values.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="k">for</span> <span class="n">var</span> <span class="ow">in</span> <span class="n">data</span><span class="o">.</span><span class="n">data_vars</span><span class="p">:</span>
+        <span class="n">attrs</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">var</span><span class="p">]</span><span class="o">.</span><span class="n">attrs</span>
+        <span class="k">if</span> <span class="s1">&#39;units&#39;</span> <span class="ow">in</span> <span class="n">attrs</span> <span class="ow">and</span> <span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;units&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;K&#39;</span><span class="p">:</span>
+            <span class="n">data</span><span class="o">.</span><span class="n">update</span><span class="p">({</span><span class="n">var</span><span class="p">:</span> <span class="n">data</span><span class="p">[</span><span class="n">var</span><span class="p">]</span> <span class="o">-</span> <span class="mf">273.15</span><span class="p">})</span>
+            <span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;units&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;C&#39;</span>
+        <span class="n">data</span><span class="p">[</span><span class="n">var</span><span class="p">]</span><span class="o">.</span><span class="n">attrs</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">attrs</span><span class="p">)</span>
+
+    <span class="n">lons</span> <span class="o">=</span> <span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">LONGITUDE</span><span class="p">]</span> <span class="o">+</span> <span class="mf">180.0</span><span class="p">)</span> <span class="o">%</span> <span class="mf">360.0</span> <span class="o">-</span> <span class="mf">180.0</span>
+    <span class="n">data</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">LONGITUDE</span><span class="p">]</span> <span class="o">=</span> <span class="n">lons</span>
+
+    <span class="k">if</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span> <span class="ow">in</span> <span class="n">data</span><span class="o">.</span><span class="n">coords</span><span class="p">:</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="nb">bytes</span><span class="p">):</span>
+            <span class="n">times</span> <span class="o">=</span> <span class="p">[</span><span class="n">t</span><span class="o">.</span><span class="n">decode</span><span class="p">(</span><span class="s1">&#39;utf-8&#39;</span><span class="p">)</span> <span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="n">data</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="p">]</span>
+            <span class="n">data</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">]</span> <span class="o">=</span> <span class="n">times</span>
+        <span class="n">data</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">]</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">to_datetime</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">])</span>
+
+    <span class="k">return</span> <span class="n">data</span></div>
+
+</pre></div>
+
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+  <h1>Source code for sup3r.preprocessing.names</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Mappings from coord / dim / feature names to standard names and Dimension</span>
+<span class="sd">class for standardizing dimension orders and names.&quot;&quot;&quot;</span>
+
+<span class="kn">from</span> <span class="nn">enum</span> <span class="kn">import</span> <span class="n">Enum</span>
+
+
+<div class="viewcode-block" id="Dimension">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension">[docs]</a>
+<span class="k">class</span> <span class="nc">Dimension</span><span class="p">(</span><span class="nb">str</span><span class="p">,</span> <span class="n">Enum</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Dimension names used for Sup3rX accessor.&quot;&quot;&quot;</span>
+
+    <span class="n">FLATTENED_SPATIAL</span> <span class="o">=</span> <span class="s1">&#39;space&#39;</span>
+    <span class="n">SOUTH_NORTH</span> <span class="o">=</span> <span class="s1">&#39;south_north&#39;</span>
+    <span class="n">WEST_EAST</span> <span class="o">=</span> <span class="s1">&#39;west_east&#39;</span>
+    <span class="n">TIME</span> <span class="o">=</span> <span class="s1">&#39;time&#39;</span>
+    <span class="n">PRESSURE_LEVEL</span> <span class="o">=</span> <span class="s1">&#39;level&#39;</span>
+    <span class="n">HEIGHT</span> <span class="o">=</span> <span class="s1">&#39;height&#39;</span>
+    <span class="n">VARIABLE</span> <span class="o">=</span> <span class="s1">&#39;variable&#39;</span>
+    <span class="n">LATITUDE</span> <span class="o">=</span> <span class="s1">&#39;latitude&#39;</span>
+    <span class="n">LONGITUDE</span> <span class="o">=</span> <span class="s1">&#39;longitude&#39;</span>
+    <span class="n">QUANTILE</span> <span class="o">=</span> <span class="s1">&#39;quantile&#39;</span>
+    <span class="n">GLOBAL_TIME</span> <span class="o">=</span> <span class="s1">&#39;global_time&#39;</span>
+
+    <span class="k">def</span> <span class="fm">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">value</span>
+
+<div class="viewcode-block" id="Dimension.order">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.order">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">order</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return standard dimension order.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span>
+            <span class="bp">cls</span><span class="o">.</span><span class="n">FLATTENED_SPATIAL</span><span class="p">,</span>
+            <span class="bp">cls</span><span class="o">.</span><span class="n">SOUTH_NORTH</span><span class="p">,</span>
+            <span class="bp">cls</span><span class="o">.</span><span class="n">WEST_EAST</span><span class="p">,</span>
+            <span class="bp">cls</span><span class="o">.</span><span class="n">TIME</span><span class="p">,</span>
+            <span class="bp">cls</span><span class="o">.</span><span class="n">PRESSURE_LEVEL</span><span class="p">,</span>
+            <span class="bp">cls</span><span class="o">.</span><span class="n">HEIGHT</span><span class="p">,</span>
+            <span class="bp">cls</span><span class="o">.</span><span class="n">VARIABLE</span><span class="p">,</span>
+        <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Dimension.flat_2d">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.flat_2d">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">flat_2d</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return ordered tuple for 2d flattened data.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span><span class="bp">cls</span><span class="o">.</span><span class="n">FLATTENED_SPATIAL</span><span class="p">,</span> <span class="bp">cls</span><span class="o">.</span><span class="n">TIME</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Dimension.dims_2d">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.dims_2d">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">dims_2d</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return ordered tuple for 2d spatial dimensions. Usually</span>
+<span class="sd">        (south_north, west_east)&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span><span class="bp">cls</span><span class="o">.</span><span class="n">SOUTH_NORTH</span><span class="p">,</span> <span class="bp">cls</span><span class="o">.</span><span class="n">WEST_EAST</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Dimension.coords_2d">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.coords_2d">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">coords_2d</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return ordered tuple for 2d spatial coordinates.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span><span class="bp">cls</span><span class="o">.</span><span class="n">LATITUDE</span><span class="p">,</span> <span class="bp">cls</span><span class="o">.</span><span class="n">LONGITUDE</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Dimension.coords_3d">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.coords_3d">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">coords_3d</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return ordered tuple for 3d spatiotemporal coordinates.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span><span class="bp">cls</span><span class="o">.</span><span class="n">LATITUDE</span><span class="p">,</span> <span class="bp">cls</span><span class="o">.</span><span class="n">LONGITUDE</span><span class="p">,</span> <span class="bp">cls</span><span class="o">.</span><span class="n">TIME</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Dimension.dims_3d">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.dims_3d">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">dims_3d</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return ordered tuple for 3d spatiotemporal dimensions.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span><span class="bp">cls</span><span class="o">.</span><span class="n">SOUTH_NORTH</span><span class="p">,</span> <span class="bp">cls</span><span class="o">.</span><span class="n">WEST_EAST</span><span class="p">,</span> <span class="bp">cls</span><span class="o">.</span><span class="n">TIME</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Dimension.dims_4d">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.dims_4d">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">dims_4d</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return ordered tuple for 4d spatiotemporal dimensions.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span><span class="bp">cls</span><span class="o">.</span><span class="n">SOUTH_NORTH</span><span class="p">,</span> <span class="bp">cls</span><span class="o">.</span><span class="n">WEST_EAST</span><span class="p">,</span> <span class="bp">cls</span><span class="o">.</span><span class="n">TIME</span><span class="p">,</span> <span class="bp">cls</span><span class="o">.</span><span class="n">HEIGHT</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Dimension.coords_4d_pres">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.coords_4d_pres">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">coords_4d_pres</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return ordered tuple for 4d coordinates, with a pressure level.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span><span class="bp">cls</span><span class="o">.</span><span class="n">LATITUDE</span><span class="p">,</span> <span class="bp">cls</span><span class="o">.</span><span class="n">LONGITUDE</span><span class="p">,</span> <span class="bp">cls</span><span class="o">.</span><span class="n">TIME</span><span class="p">,</span> <span class="bp">cls</span><span class="o">.</span><span class="n">PRESSURE_LEVEL</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Dimension.coords_4d">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.coords_4d">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">coords_4d</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return ordered tuple for 4d coordinates, with a height level.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span><span class="bp">cls</span><span class="o">.</span><span class="n">LATITUDE</span><span class="p">,</span> <span class="bp">cls</span><span class="o">.</span><span class="n">LONGITUDE</span><span class="p">,</span> <span class="bp">cls</span><span class="o">.</span><span class="n">TIME</span><span class="p">,</span> <span class="bp">cls</span><span class="o">.</span><span class="n">HEIGHT</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Dimension.dims_4d_pres">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.dims_4d_pres">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">dims_4d_pres</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return ordered tuple for 4d spatiotemporal dimensions with vertical</span>
+<span class="sd">        pressure levels&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span><span class="bp">cls</span><span class="o">.</span><span class="n">SOUTH_NORTH</span><span class="p">,</span> <span class="bp">cls</span><span class="o">.</span><span class="n">WEST_EAST</span><span class="p">,</span> <span class="bp">cls</span><span class="o">.</span><span class="n">TIME</span><span class="p">,</span> <span class="bp">cls</span><span class="o">.</span><span class="n">PRESSURE_LEVEL</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Dimension.dims_3d_bc">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.dims_3d_bc">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">dims_3d_bc</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return ordered tuple for 3d spatiotemporal dimensions.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span><span class="bp">cls</span><span class="o">.</span><span class="n">SOUTH_NORTH</span><span class="p">,</span> <span class="bp">cls</span><span class="o">.</span><span class="n">WEST_EAST</span><span class="p">,</span> <span class="bp">cls</span><span class="o">.</span><span class="n">TIME</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Dimension.dims_4d_bc">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.dims_4d_bc">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">dims_4d_bc</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return ordered tuple for 4d spatiotemporal dimensions specifically</span>
+<span class="sd">        for bias correction factor files.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span><span class="bp">cls</span><span class="o">.</span><span class="n">SOUTH_NORTH</span><span class="p">,</span> <span class="bp">cls</span><span class="o">.</span><span class="n">WEST_EAST</span><span class="p">,</span> <span class="bp">cls</span><span class="o">.</span><span class="n">TIME</span><span class="p">,</span> <span class="bp">cls</span><span class="o">.</span><span class="n">QUANTILE</span><span class="p">)</span></div>
+</div>
+
+
+
+<span class="c1"># mapping from common feature names to our standard ones</span>
+<span class="n">FEATURE_NAMES</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s1">&#39;elevation&#39;</span><span class="p">:</span> <span class="s1">&#39;topography&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;orog&#39;</span><span class="p">:</span> <span class="s1">&#39;topography&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;hgt&#39;</span><span class="p">:</span> <span class="s1">&#39;topography&#39;</span><span class="p">,</span>
+<span class="p">}</span>
+
+
+<span class="c1"># mapping from common coordinate names to our standard names</span>
+<span class="n">COORD_NAMES</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s1">&#39;lat&#39;</span><span class="p">:</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">LATITUDE</span><span class="p">,</span>
+    <span class="s1">&#39;lon&#39;</span><span class="p">:</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">LONGITUDE</span><span class="p">,</span>
+    <span class="s1">&#39;xlat&#39;</span><span class="p">:</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">LATITUDE</span><span class="p">,</span>
+    <span class="s1">&#39;xlong&#39;</span><span class="p">:</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">LONGITUDE</span><span class="p">,</span>
+    <span class="s1">&#39;plev&#39;</span><span class="p">:</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">PRESSURE_LEVEL</span><span class="p">,</span>
+    <span class="s1">&#39;isobaricInhPa&#39;</span><span class="p">:</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">PRESSURE_LEVEL</span><span class="p">,</span>
+    <span class="s1">&#39;pressure_level&#39;</span><span class="p">:</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">PRESSURE_LEVEL</span><span class="p">,</span>
+    <span class="s1">&#39;xtime&#39;</span><span class="p">:</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">,</span>
+    <span class="s1">&#39;valid_time&#39;</span><span class="p">:</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">,</span>
+    <span class="s1">&#39;west_east&#39;</span><span class="p">:</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">LONGITUDE</span><span class="p">,</span>
+    <span class="s1">&#39;south_north&#39;</span><span class="p">:</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">LATITUDE</span>
+<span class="p">}</span>
+
+<span class="c1"># mapping from common dimension names to our standard names</span>
+<span class="n">DIM_NAMES</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s1">&#39;lat&#39;</span><span class="p">:</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">SOUTH_NORTH</span><span class="p">,</span>
+    <span class="s1">&#39;lon&#39;</span><span class="p">:</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">WEST_EAST</span><span class="p">,</span>
+    <span class="s1">&#39;xlat&#39;</span><span class="p">:</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">SOUTH_NORTH</span><span class="p">,</span>
+    <span class="s1">&#39;xlong&#39;</span><span class="p">:</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">WEST_EAST</span><span class="p">,</span>
+    <span class="s1">&#39;latitude&#39;</span><span class="p">:</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">SOUTH_NORTH</span><span class="p">,</span>
+    <span class="s1">&#39;longitude&#39;</span><span class="p">:</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">WEST_EAST</span><span class="p">,</span>
+    <span class="s1">&#39;plev&#39;</span><span class="p">:</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">PRESSURE_LEVEL</span><span class="p">,</span>
+    <span class="s1">&#39;isobaricInhPa&#39;</span><span class="p">:</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">PRESSURE_LEVEL</span><span class="p">,</span>
+    <span class="s1">&#39;pressure_level&#39;</span><span class="p">:</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">PRESSURE_LEVEL</span><span class="p">,</span>
+    <span class="s1">&#39;xtime&#39;</span><span class="p">:</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">,</span>
+    <span class="s1">&#39;valid_time&#39;</span><span class="p">:</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span>
+<span class="p">}</span>
+
+
+<span class="c1"># ERA5 variable names</span>
+
+<span class="c1"># variables available on a single level (e.g. surface)</span>
+<span class="n">SFC_VARS</span> <span class="o">=</span> <span class="p">[</span>
+    <span class="s1">&#39;surface_sensible_heat_flux&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;10m_u_component_of_wind&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;10m_v_component_of_wind&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;100m_u_component_of_wind&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;100m_v_component_of_wind&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;surface_pressure&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;2m_temperature&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;geopotential&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;total_precipitation&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;convective_available_potential_energy&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;2m_dewpoint_temperature&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;convective_inhibition&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;surface_latent_heat_flux&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;instantaneous_moisture_flux&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;mean_total_precipitation_rate&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;mean_sea_level_pressure&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;friction_velocity&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;lake_cover&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;high_vegetation_cover&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;land_sea_mask&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;k_index&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;forecast_surface_roughness&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;northward_turbulent_surface_stress&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;eastward_turbulent_surface_stress&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;sea_surface_temperature&#39;</span><span class="p">,</span>
+<span class="p">]</span>
+
+<span class="c1"># variables available on multiple pressure levels</span>
+<span class="n">LEVEL_VARS</span> <span class="o">=</span> <span class="p">[</span>
+    <span class="s1">&#39;u_component_of_wind&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;v_component_of_wind&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;geopotential&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;temperature&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;relative_humidity&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;specific_humidity&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;divergence&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;vertical_velocity&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;pressure&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;potential_vorticity&#39;</span><span class="p">,</span>
+<span class="p">]</span>
+
+<span class="n">ERA_NAME_MAP</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s1">&#39;u10&#39;</span><span class="p">:</span> <span class="s1">&#39;u_10m&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;v10&#39;</span><span class="p">:</span> <span class="s1">&#39;v_10m&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;u100&#39;</span><span class="p">:</span> <span class="s1">&#39;u_100m&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;v100&#39;</span><span class="p">:</span> <span class="s1">&#39;v_100m&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;t&#39;</span><span class="p">:</span> <span class="s1">&#39;temperature&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;t2m&#39;</span><span class="p">:</span> <span class="s1">&#39;temperature_2m&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;sp&#39;</span><span class="p">:</span> <span class="s1">&#39;pressure_0m&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;r&#39;</span><span class="p">:</span> <span class="s1">&#39;relativehumidity&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;relative_humidity&#39;</span><span class="p">:</span> <span class="s1">&#39;relativehumidity&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;q&#39;</span><span class="p">:</span> <span class="s1">&#39;specifichumidity&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;d&#39;</span><span class="p">:</span> <span class="s1">&#39;divergence&#39;</span><span class="p">,</span>
+<span class="p">}</span>
+</pre></div>
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+  <h1>Source code for sup3r.preprocessing.rasterizers.base</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Objects that can rasterize 3D spatiotemporal data. Examples include WRF,</span>
+<span class="sd">ERA5, and GCM data. Can also work with 3D H5 data, just not flattened H5 data</span>
+<span class="sd">like WTK and NSRDB.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">from</span> <span class="nn">warnings</span> <span class="kn">import</span> <span class="n">warn</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.base</span> <span class="kn">import</span> <span class="n">Container</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.names</span> <span class="kn">import</span> <span class="n">Dimension</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">_parse_time_slice</span><span class="p">,</span>
+    <span class="n">compute_if_dask</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="BaseRasterizer">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.rasterizers.base.BaseRasterizer.html#sup3r.preprocessing.rasterizers.base.BaseRasterizer">[docs]</a>
+<span class="k">class</span> <span class="nc">BaseRasterizer</span><span class="p">(</span><span class="n">Container</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Container subclass with additional methods for extracting a</span>
+<span class="sd">    spatiotemporal extent from contained data.</span>
+
+<span class="sd">    Note</span>
+<span class="sd">    ----</span>
+<span class="sd">    This `Rasterizer` base class is for 3D rasterized data. This usually</span>
+<span class="sd">    comes from NETCDF files but can also be cached H5 files saved from</span>
+<span class="sd">    previously rasterized data. For 3D, whether H5 or NETCDF, the full domain</span>
+<span class="sd">    will be rasterized automatically if no target / shape are provided.&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">loader</span><span class="p">,</span>
+        <span class="n">features</span><span class="o">=</span><span class="s1">&#39;all&#39;</span><span class="p">,</span>
+        <span class="n">target</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">shape</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">time_slice</span><span class="o">=</span><span class="nb">slice</span><span class="p">(</span><span class="kc">None</span><span class="p">),</span>
+        <span class="n">threshold</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        loader : Loader</span>
+<span class="sd">            Loader type container with `.data` attribute exposing data to</span>
+<span class="sd">            extract.</span>
+<span class="sd">        features : list | str</span>
+<span class="sd">            Features to return in loaded dataset. If &#39;all&#39; then all available</span>
+<span class="sd">            features will be returned.</span>
+<span class="sd">        target : tuple</span>
+<span class="sd">            (lat, lon) lower left corner of raster. Either need target+shape or</span>
+<span class="sd">            raster_file.</span>
+<span class="sd">        shape : tuple</span>
+<span class="sd">            (rows, cols) grid size. Either need target+shape or raster_file.</span>
+<span class="sd">        time_slice : slice | list</span>
+<span class="sd">            Slice specifying extent and step of temporal extraction. e.g.</span>
+<span class="sd">            slice(start, stop, step). If equal to slice(None, None, 1) the full</span>
+<span class="sd">            time dimension is selected. Can be also be a list ``[start, stop,</span>
+<span class="sd">            step]``</span>
+<span class="sd">        threshold : float</span>
+<span class="sd">            Nearest neighbor euclidean distance threshold. If the coordinates</span>
+<span class="sd">            are more than this value away from the target lat/lon, an error is</span>
+<span class="sd">            raised.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">loader</span><span class="o">.</span><span class="n">data</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">loader</span> <span class="o">=</span> <span class="n">loader</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">threshold</span> <span class="o">=</span> <span class="n">threshold</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">time_slice</span> <span class="o">=</span> <span class="n">time_slice</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">grid_shape</span> <span class="o">=</span> <span class="n">shape</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">target</span> <span class="o">=</span> <span class="n">target</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">full_lat_lon</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">lat_lon</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">raster_index</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_raster_index</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">time_index</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">loader</span><span class="o">.</span><span class="n">time_index</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">time_slice</span><span class="p">]</span>
+            <span class="k">if</span> <span class="s1">&#39;time&#39;</span> <span class="ow">in</span> <span class="n">loader</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">indexes</span>
+            <span class="k">else</span> <span class="kc">None</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_lat_lon</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">rasterize_data</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">features</span><span class="p">]</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">time_slice</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return time slice for rasterized time period.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_time_slice</span>
+
+    <span class="nd">@time_slice</span><span class="o">.</span><span class="n">setter</span>
+    <span class="k">def</span> <span class="nf">time_slice</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Set and sanitize the time slice.&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_time_slice</span> <span class="o">=</span> <span class="n">_parse_time_slice</span><span class="p">(</span><span class="n">value</span><span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">target</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return the true value based on the closest lat lon instead of the</span>
+<span class="sd">        user provided value self._target, which is used to find the closest lat</span>
+<span class="sd">        lon.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">lat_lon</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">])</span>
+
+    <span class="nd">@target</span><span class="o">.</span><span class="n">setter</span>
+    <span class="k">def</span> <span class="nf">target</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Set the private target attribute. Ultimately target is determined by</span>
+<span class="sd">        lat_lon but _target is set to bottom left corner of the full domain if</span>
+<span class="sd">        None and then used to get the raster_index, which is then used to get</span>
+<span class="sd">        the lat_lon&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_target</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">value</span><span class="p">)</span> <span class="k">if</span> <span class="n">value</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="kc">None</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">grid_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return the grid_shape based on the raster_index, since</span>
+<span class="sd">        self._grid_shape does not need to be provided as an input if the</span>
+<span class="sd">        raster_file is.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">lat_lon</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+
+    <span class="nd">@grid_shape</span><span class="o">.</span><span class="n">setter</span>
+    <span class="k">def</span> <span class="nf">grid_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Set the private grid_shape attribute. Ultimately grid_shape is</span>
+<span class="sd">        determined by lat_lon but _grid_shape is set to the full domain if None</span>
+<span class="sd">        and then used to get the raster_index, which is then used to get the</span>
+<span class="sd">        lat_lon&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_grid_shape</span> <span class="o">=</span> <span class="n">value</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">lat_lon</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get 2D grid of coordinates with `target` as the lower left</span>
+<span class="sd">        coordinate. (lats, lons, 2)&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_lat_lon</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_lat_lon</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_lat_lon</span><span class="p">()</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_lat_lon</span>
+
+<div class="viewcode-block" id="BaseRasterizer.rasterize_data">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.rasterizers.base.BaseRasterizer.html#sup3r.preprocessing.rasterizers.base.BaseRasterizer.rasterize_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">rasterize_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get rasterized data.&quot;&quot;&quot;</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;Rasterizing data for target / shape: </span><span class="si">%s</span><span class="s1"> / </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span>
+            <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_target</span><span class="p">),</span>
+            <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_grid_shape</span><span class="p">),</span>
+        <span class="p">)</span>
+        <span class="n">kwargs</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="n">Dimension</span><span class="o">.</span><span class="n">dims_2d</span><span class="p">(),</span> <span class="bp">self</span><span class="o">.</span><span class="n">raster_index</span><span class="p">))</span>
+        <span class="k">if</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">loader</span><span class="o">.</span><span class="n">dims</span><span class="p">:</span>
+            <span class="n">kwargs</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">time_slice</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">loader</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="BaseRasterizer.check_target_and_shape">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.rasterizers.base.BaseRasterizer.html#sup3r.preprocessing.rasterizers.base.BaseRasterizer.check_target_and_shape">[docs]</a>
+    <span class="k">def</span> <span class="nf">check_target_and_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">full_lat_lon</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;The data is assumed to use a regular grid so if either target or</span>
+<span class="sd">        shape is not given we can easily find the values that give the maximum</span>
+<span class="sd">        extent.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_target</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_target</span> <span class="o">=</span> <span class="n">full_lat_lon</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="p">:]</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_grid_shape</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_grid_shape</span> <span class="o">=</span> <span class="n">full_lat_lon</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span></div>
+
+
+<div class="viewcode-block" id="BaseRasterizer.get_raster_index">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.rasterizers.base.BaseRasterizer.html#sup3r.preprocessing.rasterizers.base.BaseRasterizer.get_raster_index">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_raster_index</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get set of slices or indices selecting the requested region from</span>
+<span class="sd">        the contained data.&quot;&quot;&quot;</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;Getting raster index for target / shape: </span><span class="si">%s</span><span class="s1"> / </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span>
+            <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_target</span><span class="p">),</span>
+            <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_grid_shape</span><span class="p">),</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">check_target_and_shape</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">full_lat_lon</span><span class="p">)</span>
+        <span class="n">row</span><span class="p">,</span> <span class="n">col</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_closest_row_col</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">full_lat_lon</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_target</span><span class="p">)</span>
+        <span class="n">lat_slice</span> <span class="o">=</span> <span class="nb">slice</span><span class="p">(</span><span class="n">row</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">_grid_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span><span class="p">,</span> <span class="n">row</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+        <span class="n">lon_slice</span> <span class="o">=</span> <span class="nb">slice</span><span class="p">(</span><span class="n">col</span><span class="p">,</span> <span class="n">col</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">_grid_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_check_raster_index</span><span class="p">(</span><span class="n">lat_slice</span><span class="p">,</span> <span class="n">lon_slice</span><span class="p">)</span></div>
+
+
+    <span class="k">def</span> <span class="nf">_check_raster_index</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">lat_slice</span><span class="p">,</span> <span class="n">lon_slice</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if raster index has bounds which exceed available region and</span>
+<span class="sd">        crop if so.&quot;&quot;&quot;</span>
+        <span class="n">lat_start</span><span class="p">,</span> <span class="n">lat_end</span> <span class="o">=</span> <span class="n">lat_slice</span><span class="o">.</span><span class="n">start</span><span class="p">,</span> <span class="n">lat_slice</span><span class="o">.</span><span class="n">stop</span>
+        <span class="n">lon_start</span><span class="p">,</span> <span class="n">lon_end</span> <span class="o">=</span> <span class="n">lon_slice</span><span class="o">.</span><span class="n">start</span><span class="p">,</span> <span class="n">lon_slice</span><span class="o">.</span><span class="n">stop</span>
+        <span class="n">lat_start</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="n">lat_start</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
+        <span class="n">lat_end</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="n">lat_end</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">full_lat_lon</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+        <span class="n">lon_start</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="n">lon_start</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
+        <span class="n">lon_end</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="n">lon_end</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">full_lat_lon</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+        <span class="n">new_lat_slice</span> <span class="o">=</span> <span class="nb">slice</span><span class="p">(</span><span class="n">lat_start</span><span class="p">,</span> <span class="n">lat_end</span><span class="p">)</span>
+        <span class="n">new_lon_slice</span> <span class="o">=</span> <span class="nb">slice</span><span class="p">(</span><span class="n">lon_start</span><span class="p">,</span> <span class="n">lon_end</span><span class="p">)</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Computed lat_slice = </span><span class="si">{</span><span class="n">compute_if_dask</span><span class="p">(</span><span class="n">lat_slice</span><span class="p">)</span><span class="si">}</span><span class="s1"> exceeds &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;available region. Using </span><span class="si">{</span><span class="n">compute_if_dask</span><span class="p">(</span><span class="n">new_lat_slice</span><span class="p">)</span><span class="si">}</span><span class="s1">.&#39;</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="n">lat_slice</span> <span class="o">!=</span> <span class="n">new_lat_slice</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Computed lon_slice = </span><span class="si">{</span><span class="n">compute_if_dask</span><span class="p">(</span><span class="n">lon_slice</span><span class="p">)</span><span class="si">}</span><span class="s1"> exceeds &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;available region. Using </span><span class="si">{</span><span class="n">compute_if_dask</span><span class="p">(</span><span class="n">new_lon_slice</span><span class="p">)</span><span class="si">}</span><span class="s1">.&#39;</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="n">lon_slice</span> <span class="o">!=</span> <span class="n">new_lon_slice</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">new_lat_slice</span><span class="p">,</span> <span class="n">new_lon_slice</span>
+
+<div class="viewcode-block" id="BaseRasterizer.get_closest_row_col">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.rasterizers.base.BaseRasterizer.html#sup3r.preprocessing.rasterizers.base.BaseRasterizer.get_closest_row_col">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_closest_row_col</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">lat_lon</span><span class="p">,</span> <span class="n">target</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get closest indices to target lat lon</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        lat_lon : ndarray</span>
+<span class="sd">            Array of lat/lon</span>
+<span class="sd">            (spatial_1, spatial_2, 2)</span>
+<span class="sd">            Last dimension in order of (lat, lon)</span>
+<span class="sd">        target : tuple</span>
+<span class="sd">            (lat, lon) for target coordinate</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        row : int</span>
+<span class="sd">            row index for closest lat/lon to target lat/lon</span>
+<span class="sd">        col : int</span>
+<span class="sd">            col index for closest lat/lon to target lat/lon</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">dist</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">hypot</span><span class="p">(</span>
+            <span class="n">lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">target</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">target</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+        <span class="p">)</span>
+        <span class="n">row</span><span class="p">,</span> <span class="n">col</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">unravel_index</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">argmin</span><span class="p">(</span><span class="n">dist</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="kc">None</span><span class="p">),</span> <span class="n">dist</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;The distance between the closest coordinate: &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">lat_lon</span><span class="p">[</span><span class="n">row</span><span class="p">,</span><span class="w"> </span><span class="n">col</span><span class="p">])</span><span class="si">}</span><span class="s1"> and the requested &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;target: </span><span class="si">{</span><span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">target</span><span class="p">)</span><span class="si">}</span><span class="s1"> for files: &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">loader</span><span class="o">.</span><span class="n">file_paths</span><span class="si">}</span><span class="s1"> is </span><span class="si">{</span><span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">dist</span><span class="o">.</span><span class="n">min</span><span class="p">())</span><span class="si">}</span><span class="s1">.&#39;</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">threshold</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">dist</span><span class="o">.</span><span class="n">min</span><span class="p">()</span> <span class="o">&gt;</span> <span class="bp">self</span><span class="o">.</span><span class="n">threshold</span><span class="p">:</span>
+            <span class="n">add_msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;This exceeds the given threshold: </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">threshold</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">msg</span><span class="si">}</span><span class="s1"> </span><span class="si">{</span><span class="n">add_msg</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">msg</span><span class="si">}</span><span class="s1"> </span><span class="si">{</span><span class="n">add_msg</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">row</span><span class="p">,</span> <span class="n">col</span></div>
+
+
+<div class="viewcode-block" id="BaseRasterizer.get_lat_lon">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.rasterizers.base.BaseRasterizer.html#sup3r.preprocessing.rasterizers.base.BaseRasterizer.get_lat_lon">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_lat_lon</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the 2D array of coordinates corresponding to the requested</span>
+<span class="sd">        target and shape.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">full_lat_lon</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">raster_index</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">raster_index</span><span class="p">[</span><span class="mi">1</span><span class="p">]]</span></div>
+</div>
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+  <h1>Source code for sup3r.preprocessing.rasterizers.dual</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Paired rasterizer class for matching separate low_res and high_res</span>
+<span class="sd">datasets&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Union</span>
+<span class="kn">from</span> <span class="nn">warnings</span> <span class="kn">import</span> <span class="n">warn</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">xarray</span> <span class="k">as</span> <span class="nn">xr</span>
+<span class="kn">from</span> <span class="nn">rex.utilities.regridder</span> <span class="kn">import</span> <span class="n">Regridder</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.base</span> <span class="kn">import</span> <span class="n">Container</span><span class="p">,</span> <span class="n">Sup3rDataset</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.cachers</span> <span class="kn">import</span> <span class="n">Cacher</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.names</span> <span class="kn">import</span> <span class="n">Dimension</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="n">log_args</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.utilities</span> <span class="kn">import</span> <span class="n">spatial_coarsening</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="DualRasterizer">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.rasterizers.dual.DualRasterizer.html#sup3r.preprocessing.rasterizers.dual.DualRasterizer">[docs]</a>
+<span class="k">class</span> <span class="nc">DualRasterizer</span><span class="p">(</span><span class="n">Container</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Object containing xr.Dataset instances for low and high-res data.</span>
+<span class="sd">    (Usually ERA5 and WTK, respectively). This essentially just regrids the</span>
+<span class="sd">    low-res data to the coarsened high-res grid.  This is useful for caching</span>
+<span class="sd">    prepping data which then can go directly to a</span>
+<span class="sd">    :class:`~sup3r.preprocessing.samplers.dual.DualSampler`</span>
+<span class="sd">    :class:`~sup3r.preprocessing.batch_queues.dual.DualBatchQueue`.</span>
+
+<span class="sd">    Note</span>
+<span class="sd">    ----</span>
+<span class="sd">    When first extracting the low_res data make sure to extract a region that</span>
+<span class="sd">    completely overlaps the high_res region. It is easiest to load the full</span>
+<span class="sd">    low_res domain and let :class:`.DualRasterizer` select the appropriate</span>
+<span class="sd">    region through regridding.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="nd">@log_args</span>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">data</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">Sup3rDataset</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">,</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">]],</span>
+        <span class="n">regrid_workers</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+        <span class="n">regrid_lr</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+        <span class="n">s_enhance</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+        <span class="n">t_enhance</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+        <span class="n">lr_cache_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">hr_cache_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize data container lr and hr :class:`Data` instances.</span>
+<span class="sd">        Typically lr = ERA5 data and hr = WTK data.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        data : Sup3rDataset | Tuple[xr.Dataset, xr.Dataset]</span>
+<span class="sd">            A tuple of xr.Dataset instances. The first must be low-res</span>
+<span class="sd">            and the second must be high-res data</span>
+<span class="sd">        regrid_workers : int | None</span>
+<span class="sd">            Number of workers to use for regridding routine.</span>
+<span class="sd">        regrid_lr : bool</span>
+<span class="sd">            Flag to regrid the low-res data to the high-res grid. This will</span>
+<span class="sd">            take care of any minor inconsistencies in different projections.</span>
+<span class="sd">            Disable this if the grids are known to be the same.</span>
+<span class="sd">        s_enhance : int</span>
+<span class="sd">            Spatial enhancement factor</span>
+<span class="sd">        t_enhance : int</span>
+<span class="sd">            Temporal enhancement factor</span>
+<span class="sd">        lr_cache_kwargs : dict</span>
+<span class="sd">            Cache kwargs for the call to lr_data.cache_data(cache_kwargs).</span>
+<span class="sd">            Must include &#39;cache_pattern&#39; key if not None, and can also include</span>
+<span class="sd">            dictionary of chunk tuples with feature keys</span>
+<span class="sd">        hr_cache_kwargs : dict</span>
+<span class="sd">            Cache kwargs for the call to hr_data.cache_data(cache_kwargs).</span>
+<span class="sd">            Must include &#39;cache_pattern&#39; key if not None, and can also include</span>
+<span class="sd">            dictionary of chunk tuples with feature keys</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span> <span class="o">=</span> <span class="n">s_enhance</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span> <span class="o">=</span> <span class="n">t_enhance</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">):</span>
+            <span class="n">data</span> <span class="o">=</span> <span class="n">Sup3rDataset</span><span class="p">(</span><span class="n">low_res</span><span class="o">=</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">high_res</span><span class="o">=</span><span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;The DualRasterizer requires either a data tuple with two &#39;</span>
+            <span class="s1">&#39;members, low and high resolution in that order, or a &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;Sup3rDataset instance. Received </span><span class="si">{</span><span class="nb">type</span><span class="p">(</span><span class="n">data</span><span class="p">)</span><span class="si">}</span><span class="s1">.&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">Sup3rDataset</span><span class="p">),</span> <span class="n">msg</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">low_res</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">high_res</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">regrid_workers</span> <span class="o">=</span> <span class="n">regrid_workers</span>
+
+        <span class="n">lr_step</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="o">.</span><span class="n">time_step</span>
+        <span class="n">hr_step</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_data</span><span class="o">.</span><span class="n">time_step</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Time steps of high-res data (</span><span class="si">{</span><span class="n">hr_step</span><span class="si">}</span><span class="s1"> seconds) and low-res &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;data (</span><span class="si">{</span><span class="n">lr_step</span><span class="si">}</span><span class="s1"> seconds) are inconsistent with t_enhance = &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span><span class="si">}</span><span class="s1">.&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="n">np</span><span class="o">.</span><span class="n">allclose</span><span class="p">(</span><span class="n">lr_step</span><span class="p">,</span> <span class="n">hr_step</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span><span class="p">),</span> <span class="n">msg</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">lr_required_shape</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">hr_data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">//</span> <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">,</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">hr_data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">//</span> <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">,</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">hr_data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">//</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">hr_required_shape</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_required_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_required_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_required_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span>
+        <span class="p">)</span>
+
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;The required low-res shape </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">lr_required_shape</span><span class="si">}</span><span class="s1"> is &#39;</span>
+            <span class="s1">&#39;inconsistent with the shape of the raw data &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="nb">all</span><span class="p">(</span>
+            <span class="n">req_s</span> <span class="o">&lt;=</span> <span class="n">true_s</span>
+            <span class="k">for</span> <span class="n">req_s</span><span class="p">,</span> <span class="n">true_s</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">lr_required_shape</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="o">.</span><span class="n">shape</span>
+            <span class="p">)</span>
+        <span class="p">),</span> <span class="n">msg</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">hr_lat_lon</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_data</span><span class="o">.</span><span class="n">lat_lon</span><span class="p">[</span>
+            <span class="nb">slice</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_required_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]),</span> <span class="nb">slice</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_required_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+        <span class="p">]</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">lr_lat_lon</span> <span class="o">=</span> <span class="n">spatial_coarsening</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">hr_lat_lon</span><span class="p">,</span> <span class="n">s_enhance</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">,</span> <span class="n">obs_axis</span><span class="o">=</span><span class="kc">False</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_regrid_lr</span> <span class="o">=</span> <span class="n">regrid_lr</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">update_lr_data</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">update_hr_data</span><span class="p">()</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_data</span><span class="p">))</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">check_regridded_lr_data</span><span class="p">()</span>
+
+        <span class="k">if</span> <span class="n">lr_cache_kwargs</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">Cacher</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="p">,</span> <span class="n">lr_cache_kwargs</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">hr_cache_kwargs</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">Cacher</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_data</span><span class="p">,</span> <span class="n">hr_cache_kwargs</span><span class="p">)</span>
+
+<div class="viewcode-block" id="DualRasterizer.update_hr_data">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.rasterizers.dual.DualRasterizer.html#sup3r.preprocessing.rasterizers.dual.DualRasterizer.update_hr_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">update_hr_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Set the high resolution data attribute and check if</span>
+<span class="sd">        hr_data.shape is divisible by s_enhance. If not, take the largest</span>
+<span class="sd">        shape that can be.&quot;&quot;&quot;</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;hr_data.shape: </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_data</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="mi">3</span><span class="p">]</span><span class="si">}</span><span class="s1"> is not &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;divisible by s_enhance: </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="si">}</span><span class="s1">. Using shape: &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_required_shape</span><span class="si">}</span><span class="s1"> instead.&#39;</span>
+        <span class="p">)</span>
+        <span class="n">need_new_shape</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_data</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="mi">3</span><span class="p">]</span> <span class="o">!=</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_required_shape</span><span class="p">[:</span><span class="mi">3</span><span class="p">]</span>
+        <span class="k">if</span> <span class="n">need_new_shape</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+            <span class="n">hr_data_new</span> <span class="o">=</span> <span class="p">{}</span>
+            <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_data</span><span class="o">.</span><span class="n">features</span><span class="p">:</span>
+                <span class="n">hr_slices</span> <span class="o">=</span> <span class="p">[</span><span class="nb">slice</span><span class="p">(</span><span class="n">sh</span><span class="p">)</span> <span class="k">for</span> <span class="n">sh</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_required_shape</span><span class="p">]</span>
+                <span class="n">hr</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_data</span><span class="o">.</span><span class="n">to_dataarray</span><span class="p">()</span><span class="o">.</span><span class="n">sel</span><span class="p">(</span><span class="n">variable</span><span class="o">=</span><span class="n">f</span><span class="p">)</span><span class="o">.</span><span class="n">data</span>
+                <span class="n">hr_data_new</span><span class="p">[</span><span class="n">f</span><span class="p">]</span> <span class="o">=</span> <span class="n">hr</span><span class="p">[</span><span class="nb">tuple</span><span class="p">(</span><span class="n">hr_slices</span><span class="p">)]</span>
+
+            <span class="n">hr_coords_new</span> <span class="o">=</span> <span class="p">{</span>
+                <span class="n">Dimension</span><span class="o">.</span><span class="n">LATITUDE</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
+                <span class="n">Dimension</span><span class="o">.</span><span class="n">LONGITUDE</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
+                <span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_data</span><span class="o">.</span><span class="n">indexes</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">][</span>
+                    <span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_required_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span>
+                <span class="p">],</span>
+            <span class="p">}</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="s1">&#39;Updating self.hr_data with new shape: &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_required_shape</span><span class="p">[:</span><span class="mi">3</span><span class="p">]</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">hr_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_data</span><span class="o">.</span><span class="n">update_ds</span><span class="p">(</span>
+                <span class="p">{</span><span class="o">**</span><span class="n">hr_coords_new</span><span class="p">,</span> <span class="o">**</span><span class="n">hr_data_new</span><span class="p">}</span>
+            <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="DualRasterizer.get_regridder">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.rasterizers.dual.DualRasterizer.html#sup3r.preprocessing.rasterizers.dual.DualRasterizer.get_regridder">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_regridder</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get regridder object&quot;&quot;&quot;</span>
+        <span class="n">target_meta</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span>
+            <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">LATITUDE</span><span class="p">,</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">LONGITUDE</span><span class="p">],</span>
+            <span class="n">data</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">lr_lat_lon</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">)),</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="n">Regridder</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="o">.</span><span class="n">meta</span><span class="p">,</span> <span class="n">target_meta</span><span class="p">,</span> <span class="n">max_workers</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">regrid_workers</span>
+        <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="DualRasterizer.update_lr_data">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.rasterizers.dual.DualRasterizer.html#sup3r.preprocessing.rasterizers.dual.DualRasterizer.update_lr_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">update_lr_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Regrid low_res data for all requested noncached features. Load</span>
+<span class="sd">        cached features if available and overwrite=False&quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_regrid_lr</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Regridding low resolution feature data.&#39;</span><span class="p">)</span>
+            <span class="n">regridder</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_regridder</span><span class="p">()</span>
+
+            <span class="n">lr_data_new</span> <span class="o">=</span> <span class="p">{}</span>
+            <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="o">.</span><span class="n">features</span><span class="p">:</span>
+                <span class="n">lr</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="o">.</span><span class="n">to_dataarray</span><span class="p">()</span><span class="o">.</span><span class="n">sel</span><span class="p">(</span><span class="n">variable</span><span class="o">=</span><span class="n">f</span><span class="p">)</span><span class="o">.</span><span class="n">data</span>
+                <span class="n">lr</span> <span class="o">=</span> <span class="n">lr</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_required_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]]</span>
+                <span class="n">lr_data_new</span><span class="p">[</span><span class="n">f</span><span class="p">]</span> <span class="o">=</span> <span class="n">regridder</span><span class="p">(</span><span class="n">lr</span><span class="p">)</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">lr_required_shape</span><span class="p">)</span>
+
+            <span class="n">lr_coords_new</span> <span class="o">=</span> <span class="p">{</span>
+                <span class="n">Dimension</span><span class="o">.</span><span class="n">LATITUDE</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span>
+                <span class="n">Dimension</span><span class="o">.</span><span class="n">LONGITUDE</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span>
+                <span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="o">.</span><span class="n">indexes</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">][</span>
+                    <span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_required_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span>
+                <span class="p">],</span>
+            <span class="p">}</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Updating self.lr_data with regridded data.&#39;</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="o">.</span><span class="n">update_ds</span><span class="p">(</span>
+                <span class="p">{</span><span class="o">**</span><span class="n">lr_coords_new</span><span class="p">,</span> <span class="o">**</span><span class="n">lr_data_new</span><span class="p">}</span>
+            <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="DualRasterizer.check_regridded_lr_data">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.rasterizers.dual.DualRasterizer.html#sup3r.preprocessing.rasterizers.dual.DualRasterizer.check_regridded_lr_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">check_regridded_lr_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check for NaNs after regridding and do NN fill if needed.&quot;&quot;&quot;</span>
+        <span class="n">fill_feats</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Checking for NaNs after regridding&#39;</span><span class="p">)</span>
+        <span class="n">qa_info</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="o">.</span><span class="n">qa</span><span class="p">()</span>
+        <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="o">.</span><span class="n">features</span><span class="p">:</span>
+            <span class="n">nan_perc</span> <span class="o">=</span> <span class="n">qa_info</span><span class="p">[</span><span class="n">f</span><span class="p">][</span><span class="s1">&#39;nan_perc&#39;</span><span class="p">]</span>
+            <span class="k">if</span> <span class="n">nan_perc</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+                <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">f</span><span class="si">}</span><span class="s1"> data has </span><span class="si">{</span><span class="n">nan_perc</span><span class="si">:</span><span class="s1">.3f</span><span class="si">}</span><span class="s1">% NaN &#39;</span> <span class="s1">&#39;values!&#39;</span>
+                <span class="k">if</span> <span class="n">nan_perc</span> <span class="o">&lt;</span> <span class="mi">10</span><span class="p">:</span>
+                    <span class="n">fill_feats</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
+                    <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                    <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="k">if</span> <span class="n">nan_perc</span> <span class="o">&gt;=</span> <span class="mi">10</span><span class="p">:</span>
+                    <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                    <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">fill_feats</span><span class="p">):</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Doing nearest neighbor nan fill on low_res data for &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;features = </span><span class="si">{</span><span class="n">fill_feats</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="o">.</span><span class="n">interpolate_na</span><span class="p">(</span>
+                <span class="n">features</span><span class="o">=</span><span class="n">fill_feats</span><span class="p">,</span> <span class="n">method</span><span class="o">=</span><span class="s1">&#39;nearest&#39;</span>
+            <span class="p">)</span></div>
+</div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.preprocessing.rasterizers.exo</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Exo data rasterizers for topography and sza</span>
+
+<span class="sd">TODO: ExoDataHandler is pretty similar to ExoRasterizer. Maybe a mixin or</span>
+<span class="sd">subclass refactor here.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">shutil</span>
+<span class="kn">from</span> <span class="nn">abc</span> <span class="kn">import</span> <span class="n">ABC</span><span class="p">,</span> <span class="n">abstractmethod</span>
+<span class="kn">from</span> <span class="nn">dataclasses</span> <span class="kn">import</span> <span class="n">dataclass</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">ClassVar</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Union</span>
+<span class="kn">from</span> <span class="nn">warnings</span> <span class="kn">import</span> <span class="n">warn</span>
+
+<span class="kn">import</span> <span class="nn">dask.array</span> <span class="k">as</span> <span class="nn">da</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">xarray</span> <span class="k">as</span> <span class="nn">xr</span>
+<span class="kn">from</span> <span class="nn">scipy.spatial</span> <span class="kn">import</span> <span class="n">KDTree</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.postprocessing.writers.base</span> <span class="kn">import</span> <span class="n">OutputHandler</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.accessor</span> <span class="kn">import</span> <span class="n">Sup3rX</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.base</span> <span class="kn">import</span> <span class="n">Sup3rMeta</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.cachers</span> <span class="kn">import</span> <span class="n">Cacher</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.derivers.utilities</span> <span class="kn">import</span> <span class="n">SolarZenith</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.loaders</span> <span class="kn">import</span> <span class="n">Loader</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.names</span> <span class="kn">import</span> <span class="n">Dimension</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.utilities</span> <span class="kn">import</span> <span class="n">nn_fill_array</span>
+
+<span class="kn">from</span> <span class="nn">..utilities</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">get_class_kwargs</span><span class="p">,</span>
+    <span class="n">get_input_handler_class</span><span class="p">,</span>
+    <span class="n">get_source_type</span><span class="p">,</span>
+    <span class="n">log_args</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="BaseExoRasterizer">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer">[docs]</a>
+<span class="nd">@dataclass</span>
+<span class="k">class</span> <span class="nc">BaseExoRasterizer</span><span class="p">(</span><span class="n">ABC</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Class to extract high-res (4km+) data rasters for new</span>
+<span class="sd">    spatially-enhanced datasets (e.g. GCM files after spatial enhancement)</span>
+<span class="sd">    using nearest neighbor mapping and aggregation from NREL datasets (e.g. WTK</span>
+<span class="sd">    or NSRDB)</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    file_paths : str | list</span>
+<span class="sd">        A single source h5 file to extract raster data from or a list</span>
+<span class="sd">        of netcdf files with identical grid. The string can be a unix-style</span>
+<span class="sd">        file path which will be passed through glob.glob. This is</span>
+<span class="sd">        typically low-res WRF output or GCM netcdf data files that is</span>
+<span class="sd">        source low-resolution data intended to be sup3r resolved.</span>
+<span class="sd">    source_file : str</span>
+<span class="sd">        Filepath to source data file to get hi-res exogenous data from which</span>
+<span class="sd">        will be mapped to the enhanced grid of the file_paths input. Pixels</span>
+<span class="sd">        from this source_file will be mapped to their nearest low-res pixel in</span>
+<span class="sd">        the file_paths input. Accordingly, source_file should be a</span>
+<span class="sd">        significantly higher resolution than file_paths. Warnings will be</span>
+<span class="sd">        raised if the low-resolution pixels in file_paths do not have unique</span>
+<span class="sd">        nearest pixels from source_file. File format can be .h5 for</span>
+<span class="sd">        ExoRasterizerH5 or .nc for ExoRasterizerNC</span>
+<span class="sd">    feature : str</span>
+<span class="sd">        Name of exogenous feature to rasterize.</span>
+<span class="sd">    s_enhance : int</span>
+<span class="sd">        Factor by which the Sup3rGan model will enhance the spatial</span>
+<span class="sd">        dimensions of low resolution data from file_paths input. For</span>
+<span class="sd">        example, if getting topography data, file_paths has 100km data, and</span>
+<span class="sd">        s_enhance is 4, this class will output a topography raster</span>
+<span class="sd">        corresponding to the file_paths grid enhanced 4x to ~25km</span>
+<span class="sd">    t_enhance : int</span>
+<span class="sd">        Factor by which the Sup3rGan model will enhance the temporal</span>
+<span class="sd">        dimension of low resolution data from file_paths input. For</span>
+<span class="sd">        example, if getting &quot;sza&quot; data, file_paths has hourly data, and</span>
+<span class="sd">        t_enhance is 4, this class will output an &quot;sza&quot; raster</span>
+<span class="sd">        corresponding to ``file_paths``, temporally enhanced 4x to 15 min</span>
+<span class="sd">    input_handler_name : str</span>
+<span class="sd">        data handler class to use for input data. Provide a string name to</span>
+<span class="sd">        match a :class:`~sup3r.preprocessing.rasterizers.Rasterizer`. If None</span>
+<span class="sd">        the correct handler will be guessed based on file type and time series</span>
+<span class="sd">        properties.</span>
+<span class="sd">    input_handler_kwargs : dict | None</span>
+<span class="sd">        Any kwargs for initializing the ``input_handler_name`` class.</span>
+<span class="sd">    cache_dir : str | &#39;./exo_cache&#39;</span>
+<span class="sd">        Directory to use for caching rasterized data.</span>
+<span class="sd">    chunks : str | dict</span>
+<span class="sd">        Dictionary of dimension chunk sizes for returned exo data. e.g.</span>
+<span class="sd">        {&#39;time&#39;: 100, &#39;south_north&#39;: 100, &#39;west_east&#39;: 100}. This can also just</span>
+<span class="sd">        be &quot;auto&quot;. This is passed to ``.chunk()`` before returning exo data</span>
+<span class="sd">        through ``.data`` attribute</span>
+<span class="sd">    distance_upper_bound : float | None</span>
+<span class="sd">        Maximum distance to map high-resolution data from source_file to the</span>
+<span class="sd">        low-resolution file_paths input. None (default) will calculate this</span>
+<span class="sd">        based on the median distance between points in source_file</span>
+<span class="sd">    max_workers : int</span>
+<span class="sd">        Number of workers used for writing data to cache files. Gets passed to</span>
+<span class="sd">        ``Cacher.write_netcdf.``</span>
+<span class="sd">    verbose : bool</span>
+<span class="sd">        Whether to log output as each chunk is written to cache file.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">file_paths</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">source_file</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">feature</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">s_enhance</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span>
+    <span class="n">t_enhance</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span>
+    <span class="n">input_handler_name</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">input_handler_kwargs</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">cache_dir</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;./exo_cache/&#39;</span>
+    <span class="n">chunks</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">dict</span><span class="p">]]</span> <span class="o">=</span> <span class="s1">&#39;auto&#39;</span>
+    <span class="n">distance_upper_bound</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="n">max_workers</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span>
+    <span class="n">verbose</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span>
+
+    <span class="nd">@log_args</span>
+    <span class="k">def</span> <span class="nf">__post_init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_source_data</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_tree</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_hr_lat_lon</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_source_lat_lon</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_hr_time_index</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_source_handler</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">input_handler_kwargs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_handler_kwargs</span> <span class="ow">or</span> <span class="p">{}</span>
+        <span class="n">InputHandler</span> <span class="o">=</span> <span class="n">get_input_handler_class</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">input_handler_name</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span> <span class="o">=</span> <span class="n">InputHandler</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">file_paths</span><span class="p">,</span>
+            <span class="o">**</span><span class="n">get_class_kwargs</span><span class="p">(</span><span class="n">InputHandler</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_handler_kwargs</span><span class="p">),</span>
+        <span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="nd">@abstractmethod</span>
+    <span class="k">def</span> <span class="nf">source_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the 1D array of source data from the source_file_h5&quot;&quot;&quot;</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">source_handler</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the Loader object that handles the exogenous data file.&quot;&quot;&quot;</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;Getting </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">feature</span><span class="si">}</span><span class="s1"> for full domain from </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">source_file</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_source_handler</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_source_handler</span> <span class="o">=</span> <span class="n">Loader</span><span class="p">(</span>
+                <span class="n">file_paths</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">source_file</span><span class="p">,</span> <span class="n">features</span><span class="o">=</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">feature</span><span class="p">]</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_source_handler</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">cache_file</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get cache file name</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        cache_fp : str</span>
+<span class="sd">            Name of cache file. This is a netcdf file which will be saved with</span>
+<span class="sd">            :class:`~sup3r.preprocessing.cachers.Cacher` and loaded with</span>
+<span class="sd">            :class:`~sup3r.preprocessing.loaders.Loader`</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">fn</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;exo_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">feature</span><span class="si">}</span><span class="s1">_&#39;</span>
+        <span class="n">fn</span> <span class="o">+=</span> <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="s2">&quot;_&quot;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="nb">str</span><span class="p">,</span><span class="w"> </span><span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">target</span><span class="p">))</span><span class="si">}</span><span class="s1">_&#39;</span>
+        <span class="n">fn</span> <span class="o">+=</span> <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="s2">&quot;x&quot;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="nb">str</span><span class="p">,</span><span class="w"> </span><span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">grid_shape</span><span class="p">))</span><span class="si">}</span><span class="s1">_&#39;</span>
+
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">source_data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">3</span><span class="p">:</span>
+            <span class="n">start</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_time_index</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+            <span class="n">start</span> <span class="o">=</span> <span class="n">start</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;:&#39;</span><span class="p">,</span> <span class="s1">&#39;&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;-&#39;</span><span class="p">,</span> <span class="s1">&#39;&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39; &#39;</span><span class="p">,</span> <span class="s1">&#39;&#39;</span><span class="p">)</span>
+            <span class="n">end</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_time_index</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
+            <span class="n">end</span> <span class="o">=</span> <span class="n">end</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;:&#39;</span><span class="p">,</span> <span class="s1">&#39;&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;-&#39;</span><span class="p">,</span> <span class="s1">&#39;&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39; &#39;</span><span class="p">,</span> <span class="s1">&#39;&#39;</span><span class="p">)</span>
+            <span class="n">fn</span> <span class="o">+=</span> <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">start</span><span class="si">}</span><span class="s1">_</span><span class="si">{</span><span class="n">end</span><span class="si">}</span><span class="s1">_&#39;</span>
+
+        <span class="n">fn</span> <span class="o">+=</span> <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="si">}</span><span class="s1">x_</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span><span class="si">}</span><span class="s1">x.nc&#39;</span>
+        <span class="n">cache_fp</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">cache_dir</span><span class="p">,</span> <span class="n">fn</span><span class="p">)</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">cache_dir</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">cache_dir</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">cache_fp</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">coords</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get coords dictionary for initializing xr.Dataset.&quot;&quot;&quot;</span>
+        <span class="n">coords</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="n">coord</span><span class="p">:</span> <span class="p">(</span><span class="n">Dimension</span><span class="o">.</span><span class="n">dims_2d</span><span class="p">(),</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">i</span><span class="p">])</span>
+            <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">coord</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">Dimension</span><span class="o">.</span><span class="n">coords_2d</span><span class="p">())</span>
+        <span class="p">}</span>
+        <span class="k">return</span> <span class="n">coords</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">source_lat_lon</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the 2D array (n, 2) of lat, lon data from the source_file_h5&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_source_lat_lon</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">with</span> <span class="n">Loader</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">source_file</span><span class="p">)</span> <span class="k">as</span> <span class="n">res</span><span class="p">:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_source_lat_lon</span> <span class="o">=</span> <span class="n">res</span><span class="o">.</span><span class="n">lat_lon</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_source_lat_lon</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">lr_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the low-resolution spatiotemporal shape&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span>
+            <span class="o">*</span><span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">lat_lon</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="mi">2</span><span class="p">],</span>
+            <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">time_index</span><span class="p">),</span>
+        <span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">hr_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the high-resolution spatiotemporal shape&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">lat_lon</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">lat_lon</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">time_index</span><span class="p">),</span>
+        <span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">hr_lat_lon</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Lat lon grid for data in format (spatial_1, spatial_2, 2) Lat/Lon</span>
+<span class="sd">        array with same ordering in last dimension. This corresponds to the</span>
+<span class="sd">        enhanced meta data from the file_paths input * s_enhance.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        ndarray</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_hr_lat_lon</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_hr_lat_lon</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="n">OutputHandler</span><span class="o">.</span><span class="n">get_lat_lon</span><span class="p">(</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">lat_lon</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_shape</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+                <span class="p">)</span>
+                <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span> <span class="o">&gt;</span> <span class="mi">1</span>
+                <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">lat_lon</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_hr_lat_lon</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">hr_time_index</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the full time index for aggregated source data&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_hr_time_index</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_hr_time_index</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="n">OutputHandler</span><span class="o">.</span><span class="n">get_times</span><span class="p">(</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">time_index</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+                <span class="p">)</span>
+                <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span> <span class="o">&gt;</span> <span class="mi">1</span>
+                <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">time_index</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_hr_time_index</span>
+
+<div class="viewcode-block" id="BaseExoRasterizer.get_distance_upper_bound">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.get_distance_upper_bound">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_distance_upper_bound</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Maximum distance (float) to map high-resolution data from</span>
+<span class="sd">        source_file to the low-resolution file_paths input.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">distance_upper_bound</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">diff</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">diff</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">source_lat_lon</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+            <span class="n">diff</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">median</span><span class="p">(</span><span class="n">diff</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span><span class="o">.</span><span class="n">max</span><span class="p">()</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">distance_upper_bound</span> <span class="o">=</span> <span class="n">diff</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="s1">&#39;Set distance upper bound to </span><span class="si">{:.4f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">distance_upper_bound</span><span class="p">)</span>
+                <span class="p">)</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">distance_upper_bound</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">tree</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the KDTree built on the target lat lon data from the file_paths</span>
+<span class="sd">        input with s_enhance&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_tree</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_tree</span> <span class="o">=</span> <span class="n">KDTree</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_lat_lon</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">)))</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_tree</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">nn</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the nearest neighbor indices. This uses a single neighbor by</span>
+<span class="sd">        default&quot;&quot;&quot;</span>
+        <span class="n">_</span><span class="p">,</span> <span class="n">nn</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">tree</span><span class="o">.</span><span class="n">query</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">source_lat_lon</span><span class="p">,</span>
+            <span class="n">distance_upper_bound</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">get_distance_upper_bound</span><span class="p">(),</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="n">nn</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a raster of source values corresponding to the</span>
+<span class="sd">        high-resolution grid (the file_paths input grid * s_enhance *</span>
+<span class="sd">        t_enhance). The shape is (lats, lons, temporal, 1)&quot;&quot;&quot;</span>
+
+        <span class="n">cache_fp</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">cache_file</span>
+        <span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">cache_fp</span><span class="p">):</span>
+            <span class="n">data</span> <span class="o">=</span> <span class="n">Loader</span><span class="p">(</span><span class="n">cache_fp</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_data</span><span class="p">()</span>
+
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">cache_fp</span><span class="p">):</span>
+            <span class="n">tmp_fp</span> <span class="o">=</span> <span class="n">cache_fp</span> <span class="o">+</span> <span class="s1">&#39;.tmp&#39;</span>
+            <span class="n">Cacher</span><span class="o">.</span><span class="n">write_netcdf</span><span class="p">(</span>
+                <span class="n">tmp_fp</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">max_workers</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">max_workers</span><span class="p">,</span> <span class="n">chunks</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">chunks</span><span class="p">,</span>
+                <span class="n">verbose</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">verbose</span>
+            <span class="p">)</span>
+            <span class="n">shutil</span><span class="o">.</span><span class="n">move</span><span class="p">(</span><span class="n">tmp_fp</span><span class="p">,</span> <span class="n">cache_fp</span><span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Moved </span><span class="si">%s</span><span class="s1"> to </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">tmp_fp</span><span class="p">,</span> <span class="n">cache_fp</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">Sup3rX</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">chunk</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">chunks</span><span class="p">))</span>
+
+<div class="viewcode-block" id="BaseExoRasterizer.get_data">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.get_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a raster of source values corresponding to the</span>
+<span class="sd">        high-resolution grid (the file_paths input grid * s_enhance *</span>
+<span class="sd">        t_enhance). The shape is (lats, lons, 1)</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">assert</span> <span class="p">(</span>
+            <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">source_data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">source_data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="mi">1</span>
+        <span class="p">)</span>
+
+        <span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span>
+            <span class="p">{</span><span class="bp">self</span><span class="o">.</span><span class="n">feature</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">source_data</span><span class="o">.</span><span class="n">flatten</span><span class="p">(),</span> <span class="s1">&#39;gid_target&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">nn</span><span class="p">}</span>
+        <span class="p">)</span>
+        <span class="n">n_target</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_shape</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
+        <span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;gid_target&#39;</span><span class="p">]</span> <span class="o">!=</span> <span class="n">n_target</span><span class="p">]</span>
+        <span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s1">&#39;gid_target&#39;</span><span class="p">)</span>
+        <span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;gid_target&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
+
+        <span class="n">missing</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">n_target</span><span class="p">))</span> <span class="o">-</span> <span class="nb">set</span><span class="p">(</span><span class="n">df</span><span class="o">.</span><span class="n">index</span><span class="p">)</span>
+        <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">missing</span><span class="p">):</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">missing</span><span class="p">)</span><span class="si">}</span><span class="s1"> target pixels did not have unique &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;high-resolution </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">feature</span><span class="si">}</span><span class="s1"> source data to map from. If &#39;</span>
+                <span class="s1">&#39;there are a lot of target pixels missing source data this &#39;</span>
+                <span class="s1">&#39;probably means the source data is not high enough &#39;</span>
+                <span class="s1">&#39;resolution. Filling raster with NN.&#39;</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">temp_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span>
+                <span class="p">{</span><span class="bp">self</span><span class="o">.</span><span class="n">feature</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">},</span> <span class="n">index</span><span class="o">=</span><span class="nb">sorted</span><span class="p">(</span><span class="n">missing</span><span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">((</span><span class="n">df</span><span class="p">,</span> <span class="n">temp_df</span><span class="p">))</span><span class="o">.</span><span class="n">sort_index</span><span class="p">()</span>
+
+        <span class="n">hr_data</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">feature</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_shape</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
+        <span class="k">if</span> <span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">hr_data</span><span class="p">)</span><span class="o">.</span><span class="n">any</span><span class="p">():</span>
+            <span class="n">hr_data</span> <span class="o">=</span> <span class="n">nn_fill_array</span><span class="p">(</span><span class="n">hr_data</span><span class="p">)</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;Finished mapping raster from </span><span class="si">%s</span><span class="s1"> for &quot;</span><span class="si">%s</span><span class="s1">&quot;&#39;</span><span class="p">,</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">source_file</span><span class="p">,</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">feature</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="n">data_vars</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">feature</span><span class="p">:</span> <span class="p">(</span>
+                <span class="n">Dimension</span><span class="o">.</span><span class="n">dims_2d</span><span class="p">(),</span>
+                <span class="n">da</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">hr_data</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">),</span>
+            <span class="p">)</span>
+        <span class="p">}</span>
+        <span class="n">ds</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">(</span><span class="n">coords</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">coords</span><span class="p">,</span> <span class="n">data_vars</span><span class="o">=</span><span class="n">data_vars</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">Sup3rX</span><span class="p">(</span><span class="n">ds</span><span class="p">)</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="ExoRasterizerH5">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5">[docs]</a>
+<span class="k">class</span> <span class="nc">ExoRasterizerH5</span><span class="p">(</span><span class="n">BaseExoRasterizer</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;ExoRasterizer for H5 files&quot;&quot;&quot;</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">source_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the 1D array of exogenous data from the source_file_h5&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_source_data</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_source_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">source_handler</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">feature</span><span class="p">]</span>
+            <span class="k">if</span> <span class="s1">&#39;time&#39;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">source_handler</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">feature</span><span class="p">]</span><span class="o">.</span><span class="n">dims</span><span class="p">:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_source_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_source_data</span><span class="o">.</span><span class="n">data</span><span class="p">[:,</span> <span class="kc">None</span><span class="p">]</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_source_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_source_data</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="nb">slice</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)]</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_source_data</span></div>
+
+
+
+<div class="viewcode-block" id="ExoRasterizerNC">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC">[docs]</a>
+<span class="k">class</span> <span class="nc">ExoRasterizerNC</span><span class="p">(</span><span class="n">BaseExoRasterizer</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;ExoRasterizer for netCDF files&quot;&quot;&quot;</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">source_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the 1D array of exogenous data from the source_file_nc&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">source_handler</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">feature</span><span class="p">]</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">flatten</span><span class="p">()[</span><span class="o">...</span><span class="p">,</span> <span class="kc">None</span><span class="p">]</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">source_lat_lon</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the 2D array (n, 2) of lat, lon data from the source_file&quot;&quot;&quot;</span>
+        <span class="n">source_lat_lon</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">source_handler</span><span class="o">.</span><span class="n">lat_lon</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">source_lat_lon</span></div>
+
+
+
+<div class="viewcode-block" id="SzaRasterizer">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.rasterizers.exo.SzaRasterizer.html#sup3r.preprocessing.rasterizers.exo.SzaRasterizer">[docs]</a>
+<span class="k">class</span> <span class="nc">SzaRasterizer</span><span class="p">(</span><span class="n">BaseExoRasterizer</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;SzaRasterizer for H5 files&quot;&quot;&quot;</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">source_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the 1D array of sza data from the source_file_h5&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="n">SolarZenith</span><span class="o">.</span><span class="n">get_zenith</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_time_index</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_lat_lon</span><span class="p">)</span>
+
+<div class="viewcode-block" id="SzaRasterizer.get_data">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.rasterizers.exo.SzaRasterizer.html#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.get_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a raster of source values corresponding to the high-res grid</span>
+<span class="sd">        (the file_paths input grid * s_enhance * t_enhance). The shape is</span>
+<span class="sd">        (lats, lons, temporal)</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Finished computing </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">feature</span><span class="si">}</span><span class="s1"> data&#39;</span><span class="p">)</span>
+        <span class="n">data_vars</span> <span class="o">=</span> <span class="p">{</span><span class="bp">self</span><span class="o">.</span><span class="n">feature</span><span class="p">:</span> <span class="p">(</span><span class="n">Dimension</span><span class="o">.</span><span class="n">dims_3d</span><span class="p">(),</span> <span class="bp">self</span><span class="o">.</span><span class="n">source_data</span><span class="p">)}</span>
+        <span class="n">ds</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">(</span><span class="n">coords</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">coords</span><span class="p">,</span> <span class="n">data_vars</span><span class="o">=</span><span class="n">data_vars</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">Sup3rX</span><span class="p">(</span><span class="n">ds</span><span class="p">)</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="ExoRasterizer">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizer">[docs]</a>
+<span class="k">class</span> <span class="nc">ExoRasterizer</span><span class="p">(</span><span class="n">BaseExoRasterizer</span><span class="p">,</span> <span class="n">metaclass</span><span class="o">=</span><span class="n">Sup3rMeta</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Type agnostic `ExoRasterizer` class.&quot;&quot;&quot;</span>
+
+    <span class="n">TypeSpecificClasses</span><span class="p">:</span> <span class="n">ClassVar</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="s1">&#39;nc&#39;</span><span class="p">:</span> <span class="n">ExoRasterizerNC</span><span class="p">,</span>
+        <span class="s1">&#39;h5&#39;</span><span class="p">:</span> <span class="n">ExoRasterizerH5</span><span class="p">,</span>
+    <span class="p">}</span>
+
+    <span class="k">def</span> <span class="fm">__new__</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">file_paths</span><span class="p">,</span> <span class="n">source_file</span><span class="p">,</span> <span class="n">feature</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Override parent class to return type specific class based on</span>
+<span class="sd">        `source_file`&quot;&quot;&quot;</span>
+        <span class="n">kwargs</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="s1">&#39;file_paths&#39;</span><span class="p">:</span> <span class="n">file_paths</span><span class="p">,</span>
+            <span class="s1">&#39;source_file&#39;</span><span class="p">:</span> <span class="n">source_file</span><span class="p">,</span>
+            <span class="s1">&#39;feature&#39;</span><span class="p">:</span> <span class="n">feature</span><span class="p">,</span>
+            <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+        <span class="p">}</span>
+        <span class="k">if</span> <span class="n">feature</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="o">==</span> <span class="s1">&#39;sza&#39;</span><span class="p">:</span>
+            <span class="n">ExoClass</span> <span class="o">=</span> <span class="n">SzaRasterizer</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">ExoClass</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">TypeSpecificClasses</span><span class="p">[</span><span class="n">get_source_type</span><span class="p">(</span><span class="n">source_file</span><span class="p">)]</span>
+        <span class="k">return</span> <span class="n">ExoClass</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+    <span class="n">_signature_objs</span> <span class="o">=</span> <span class="p">(</span><span class="n">BaseExoRasterizer</span><span class="p">,)</span>
+    <span class="vm">__doc__</span> <span class="o">=</span> <span class="n">BaseExoRasterizer</span><span class="o">.</span><span class="vm">__doc__</span></div>
+
+</pre></div>
+
+                </article>
+              
+
+              
+              
+              
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+                <footer class="prev-next-footer d-print-none">
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+  <h1>Source code for sup3r.preprocessing.rasterizers.extended</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Extended ``Rasterizer`` that can rasterize flattened data.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">xarray</span> <span class="k">as</span> <span class="nn">xr</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.loaders</span> <span class="kn">import</span> <span class="n">Loader</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.names</span> <span class="kn">import</span> <span class="n">Dimension</span>
+
+<span class="kn">from</span> <span class="nn">.base</span> <span class="kn">import</span> <span class="n">BaseRasterizer</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="Rasterizer">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer">[docs]</a>
+<span class="k">class</span> <span class="nc">Rasterizer</span><span class="p">(</span><span class="n">BaseRasterizer</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Extended `Rasterizer` class which also handles the flattened data format</span>
+<span class="sd">    used for some H5 files (e.g. Wind Toolkit or NSRDB data), and rasterizes</span>
+<span class="sd">    directly from file paths rather than taking a Loader as input&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">file_paths</span><span class="p">,</span>
+        <span class="n">features</span><span class="o">=</span><span class="s1">&#39;all&#39;</span><span class="p">,</span>
+        <span class="n">res_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">chunks</span><span class="o">=</span><span class="s1">&#39;auto&#39;</span><span class="p">,</span>
+        <span class="n">target</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">shape</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">time_slice</span><span class="o">=</span><span class="nb">slice</span><span class="p">(</span><span class="kc">None</span><span class="p">),</span>
+        <span class="n">threshold</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">raster_file</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">max_delta</span><span class="o">=</span><span class="mi">20</span><span class="p">,</span>
+        <span class="n">BaseLoader</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        file_paths : str | list | pathlib.Path</span>
+<span class="sd">            file_paths input to LoaderClass</span>
+<span class="sd">        features : list | str</span>
+<span class="sd">            Features to return in loaded dataset. If &#39;all&#39; then all</span>
+<span class="sd">            available features will be returned.</span>
+<span class="sd">        res_kwargs : dict</span>
+<span class="sd">            Additional keyword arguments passed through to the ``BaseLoader``.</span>
+<span class="sd">            BaseLoader is usually xr.open_mfdataset for NETCDF files and</span>
+<span class="sd">            MultiFileResourceX for H5 files.</span>
+<span class="sd">        chunks : dict | str | None</span>
+<span class="sd">            Dictionary of chunk sizes to pass through to</span>
+<span class="sd">            ``dask.array.from_array()`` or ``xr.Dataset().chunk()``. Will be</span>
+<span class="sd">            converted to a tuple when used in ``from_array()``. These are the</span>
+<span class="sd">            methods for H5 and NETCDF data, respectively. This argument can</span>
+<span class="sd">            be &quot;auto&quot; in additional to a dictionary. If this is None then the</span>
+<span class="sd">            data will not be chunked and instead loaded directly into memory.</span>
+<span class="sd">        target : tuple</span>
+<span class="sd">            (lat, lon) lower left corner of raster. Either need</span>
+<span class="sd">            target+shape or raster_file.</span>
+<span class="sd">        shape : tuple</span>
+<span class="sd">            (rows, cols) grid size. Either need target+shape or</span>
+<span class="sd">            raster_file.</span>
+<span class="sd">        time_slice : slice | list</span>
+<span class="sd">            Slice specifying extent and step of temporal extraction. e.g.</span>
+<span class="sd">            slice(start, stop, step). If equal to slice(None, None, 1) the full</span>
+<span class="sd">            time dimension is selected. Can be also be a list ``[start, stop,</span>
+<span class="sd">            step]``</span>
+<span class="sd">        threshold : float</span>
+<span class="sd">            Nearest neighbor euclidean distance threshold. If the</span>
+<span class="sd">            coordinates are more than this value away from the target</span>
+<span class="sd">            lat/lon, an error is raised.</span>
+<span class="sd">        raster_file : str | None</span>
+<span class="sd">            File for raster_index array for the corresponding target and shape.</span>
+<span class="sd">            If specified the raster_index will be loaded from the file if it</span>
+<span class="sd">            exists or written to the file if it does not yet exist. If None and</span>
+<span class="sd">            raster_index is not provided raster_index will be calculated</span>
+<span class="sd">            directly. Either need target+shape, raster_file, or raster_index</span>
+<span class="sd">            input.</span>
+<span class="sd">        max_delta : int</span>
+<span class="sd">            Optional maximum limit on the raster shape that is retrieved at</span>
+<span class="sd">            once. If shape is (20, 20) and max_delta=10, the full raster will</span>
+<span class="sd">            be retrieved in four chunks of (10, 10). This helps adapt to</span>
+<span class="sd">            non-regular grids that curve over large distances.</span>
+<span class="sd">        BaseLoader : Callable</span>
+<span class="sd">            Optional base loader method update. This is a function which</span>
+<span class="sd">            takes `file_paths` and `**kwargs` and returns an initialized</span>
+<span class="sd">            base loader with those arguments. The default for h5 is a</span>
+<span class="sd">            method which returns MultiFileWindX(file_paths, **kwargs) and</span>
+<span class="sd">            for nc the default is</span>
+<span class="sd">            xarray.open_mfdataset(file_paths, **kwargs)</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">raster_file</span> <span class="o">=</span> <span class="n">raster_file</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">max_delta</span> <span class="o">=</span> <span class="n">max_delta</span>
+        <span class="n">preload</span> <span class="o">=</span> <span class="n">chunks</span> <span class="ow">is</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">loader</span> <span class="o">=</span> <span class="n">Loader</span><span class="p">(</span>
+            <span class="n">file_paths</span><span class="p">,</span>
+            <span class="n">features</span><span class="o">=</span><span class="n">features</span><span class="p">,</span>
+            <span class="n">res_kwargs</span><span class="o">=</span><span class="n">res_kwargs</span><span class="p">,</span>
+            <span class="n">chunks</span><span class="o">=</span><span class="s1">&#39;auto&#39;</span> <span class="k">if</span> <span class="n">preload</span> <span class="k">else</span> <span class="n">chunks</span><span class="p">,</span>
+            <span class="n">BaseLoader</span><span class="o">=</span><span class="n">BaseLoader</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span>
+            <span class="n">loader</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">loader</span><span class="p">,</span>
+            <span class="n">features</span><span class="o">=</span><span class="n">features</span><span class="p">,</span>
+            <span class="n">target</span><span class="o">=</span><span class="n">target</span><span class="p">,</span>
+            <span class="n">shape</span><span class="o">=</span><span class="n">shape</span><span class="p">,</span>
+            <span class="n">time_slice</span><span class="o">=</span><span class="n">time_slice</span><span class="p">,</span>
+            <span class="n">threshold</span><span class="o">=</span><span class="n">threshold</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">raster_file</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">raster_file</span>
+        <span class="p">):</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">save_raster_index</span><span class="p">()</span>
+
+        <span class="k">if</span> <span class="n">preload</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">compute</span><span class="p">()</span>
+
+<div class="viewcode-block" id="Rasterizer.rasterize_data">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer.rasterize_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">rasterize_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get rasterized data.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">loader</span><span class="o">.</span><span class="n">flattened</span><span class="p">:</span>
+            <span class="k">return</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">rasterize_data</span><span class="p">()</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_rasterize_flat_data</span><span class="p">()</span></div>
+
+
+    <span class="k">def</span> <span class="nf">_rasterize_flat_data</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Rasterize data from flattened source data, usually coming from WTK</span>
+<span class="sd">        or NSRDB data.&quot;&quot;&quot;</span>
+        <span class="n">dims</span> <span class="o">=</span> <span class="p">(</span><span class="n">Dimension</span><span class="o">.</span><span class="n">SOUTH_NORTH</span><span class="p">,</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">WEST_EAST</span><span class="p">)</span>
+        <span class="n">coords</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="n">Dimension</span><span class="o">.</span><span class="n">LATITUDE</span><span class="p">:</span> <span class="p">(</span><span class="n">dims</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">0</span><span class="p">]),</span>
+            <span class="n">Dimension</span><span class="o">.</span><span class="n">LONGITUDE</span><span class="p">:</span> <span class="p">(</span><span class="n">dims</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">lat_lon</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">1</span><span class="p">]),</span>
+            <span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">time_index</span><span class="p">,</span>
+        <span class="p">}</span>
+        <span class="n">data_vars</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="n">feats</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">loader</span><span class="o">.</span><span class="n">data_vars</span><span class="p">)</span>
+        <span class="n">data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">loader</span><span class="p">[</span><span class="n">feats</span><span class="p">]</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span>
+            <span class="o">**</span><span class="p">{</span><span class="n">Dimension</span><span class="o">.</span><span class="n">FLATTENED_SPATIAL</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">raster_index</span><span class="o">.</span><span class="n">flatten</span><span class="p">()}</span>
+        <span class="p">)</span>
+        <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">feats</span><span class="p">:</span>
+            <span class="k">if</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">loader</span><span class="p">[</span><span class="n">f</span><span class="p">]</span><span class="o">.</span><span class="n">dims</span><span class="p">:</span>
+                <span class="n">dat</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">f</span><span class="p">]</span><span class="o">.</span><span class="n">isel</span><span class="p">({</span><span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">time_slice</span><span class="p">})</span>
+                <span class="n">dat</span> <span class="o">=</span> <span class="n">dat</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span>
+                    <span class="p">(</span><span class="o">*</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_shape</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">time_index</span><span class="p">))</span>
+                <span class="p">)</span>
+                <span class="n">data_vars</span><span class="p">[</span><span class="n">f</span><span class="p">]</span> <span class="o">=</span> <span class="p">((</span><span class="o">*</span><span class="n">dims</span><span class="p">,</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">TIME</span><span class="p">),</span> <span class="n">dat</span><span class="p">)</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">dat</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">f</span><span class="p">]</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">grid_shape</span><span class="p">)</span>
+                <span class="n">data_vars</span><span class="p">[</span><span class="n">f</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">dims</span><span class="p">,</span> <span class="n">dat</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">(</span>
+            <span class="n">coords</span><span class="o">=</span><span class="n">coords</span><span class="p">,</span> <span class="n">data_vars</span><span class="o">=</span><span class="n">data_vars</span><span class="p">,</span> <span class="n">attrs</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">loader</span><span class="o">.</span><span class="n">attrs</span>
+        <span class="p">)</span>
+
+<div class="viewcode-block" id="Rasterizer.save_raster_index">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer.save_raster_index">[docs]</a>
+    <span class="k">def</span> <span class="nf">save_raster_index</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Save raster index to cache file.&quot;&quot;&quot;</span>
+        <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">raster_file</span><span class="p">),</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+        <span class="n">np</span><span class="o">.</span><span class="n">savetxt</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">raster_file</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">raster_index</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Saved raster_index to </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">raster_file</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Rasterizer.get_raster_index">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer.get_raster_index">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_raster_index</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get set of slices or indices selecting the requested region from</span>
+<span class="sd">        the contained data.&quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">loader</span><span class="o">.</span><span class="n">flattened</span><span class="p">:</span>
+            <span class="k">return</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">get_raster_index</span><span class="p">()</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_flat_data_raster_index</span><span class="p">()</span></div>
+
+
+    <span class="k">def</span> <span class="nf">_get_flat_data_raster_index</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get raster index for the flattened source data, which usually comes</span>
+<span class="sd">        from WTK or NSRDB data.&quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">raster_file</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">or</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">raster_file</span><span class="p">):</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;Calculating raster_index for target=</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">_target</span><span class="si">}</span><span class="s1">, &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;shape=</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">_grid_shape</span><span class="si">}</span><span class="s1">.&#39;</span>
+            <span class="p">)</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;Either shape + target or a raster_file must be provided &#39;</span>
+                   <span class="s1">&#39;for flattened data rasterization.&#39;</span><span class="p">)</span>
+            <span class="k">assert</span> <span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_target</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">_grid_shape</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+            <span class="p">),</span> <span class="n">msg</span>
+            <span class="n">raster_index</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">loader</span><span class="o">.</span><span class="n">res</span><span class="o">.</span><span class="n">get_raster_index</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_target</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_grid_shape</span><span class="p">,</span> <span class="n">max_delta</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">max_delta</span>
+            <span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">raster_index</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">loadtxt</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">raster_file</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">int32</span><span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Loaded raster_index from </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">raster_file</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">raster_index</span>
+
+<div class="viewcode-block" id="Rasterizer.get_lat_lon">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer.get_lat_lon">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_lat_lon</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the 2D array of coordinates corresponding to the requested</span>
+<span class="sd">        target and shape.&quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">loader</span><span class="o">.</span><span class="n">flattened</span><span class="p">:</span>
+            <span class="k">return</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">get_lat_lon</span><span class="p">()</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_flat_data_lat_lon</span><span class="p">()</span></div>
+
+
+    <span class="k">def</span> <span class="nf">_get_flat_data_lat_lon</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get lat lon for flattened source data.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">full_lat_lon</span><span class="p">,</span> <span class="s1">&#39;vindex&#39;</span><span class="p">):</span>
+            <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">full_lat_lon</span><span class="o">.</span><span class="n">vindex</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">raster_index</span><span class="p">]</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">full_lat_lon</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">raster_index</span><span class="o">.</span><span class="n">flatten</span><span class="p">]</span></div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.preprocessing.samplers.base</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Basic ``Sampler`` objects. These are containers which also can sample from</span>
+<span class="sd">the underlying data. These interface with ``BatchQueues`` so they also have</span>
+<span class="sd">additional information about how different features are used by models.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">from</span> <span class="nn">fnmatch</span> <span class="kn">import</span> <span class="n">fnmatch</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Tuple</span>
+<span class="kn">from</span> <span class="nn">warnings</span> <span class="kn">import</span> <span class="n">warn</span>
+
+<span class="kn">import</span> <span class="nn">dask.array</span> <span class="k">as</span> <span class="nn">da</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.base</span> <span class="kn">import</span> <span class="n">Container</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.samplers.utilities</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">uniform_box_sampler</span><span class="p">,</span>
+    <span class="n">uniform_time_sampler</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="n">compute_if_dask</span><span class="p">,</span> <span class="n">log_args</span><span class="p">,</span> <span class="n">lowered</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="Sampler">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler">[docs]</a>
+<span class="k">class</span> <span class="nc">Sampler</span><span class="p">(</span><span class="n">Container</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Basic Sampler class for iterating through batches of samples from the</span>
+<span class="sd">    contained data.&quot;&quot;&quot;</span>
+
+    <span class="nd">@log_args</span>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">data</span><span class="p">,</span>
+        <span class="n">sample_shape</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">tuple</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">16</span><span class="p">,</span>
+        <span class="n">feature_sets</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        data: Union[Sup3rX, Sup3rDataset],</span>
+<span class="sd">            Object with data that will be sampled from. Usually the ``.data``</span>
+<span class="sd">            attribute of various :class:`~sup3r.preprocessing.base.Container`</span>
+<span class="sd">            objects.  i.e. :class:`~sup3r.preprocessing.loaders.Loader`,</span>
+<span class="sd">            :class:`~sup3r.preprocessing.rasterizers.Rasterizer`,</span>
+<span class="sd">            :class:`~sup3r.preprocessing.derivers.Deriver`, as long as the</span>
+<span class="sd">            spatial dimensions are not flattened.</span>
+<span class="sd">        sample_shape : tuple</span>
+<span class="sd">            Size of arrays to sample from the contained data.</span>
+<span class="sd">        batch_size : int</span>
+<span class="sd">            Number of samples to get to build a single batch. A sample of</span>
+<span class="sd">            ``(sample_shape[0], sample_shape[1], batch_size *</span>
+<span class="sd">            sample_shape[2])`` is first selected from underlying dataset and</span>
+<span class="sd">            then reshaped into ``(batch_size, *sample_shape)`` to get a single</span>
+<span class="sd">            batch. This is more efficient than getting ``N = batch_size``</span>
+<span class="sd">            samples and then stacking.</span>
+<span class="sd">        feature_sets : Optional[dict]</span>
+<span class="sd">            Optional dictionary describing how the full set of features is</span>
+<span class="sd">            split between ``lr_only_features`` and ``hr_exo_features``.</span>
+
+<span class="sd">            features : list | tuple</span>
+<span class="sd">                List of full set of features to use for sampling. If no entry</span>
+<span class="sd">                is provided then all data_vars from data will be used.</span>
+<span class="sd">            lr_only_features : list | tuple</span>
+<span class="sd">                List of feature names or patt*erns that should only be</span>
+<span class="sd">                included in the low-res training set and not the high-res</span>
+<span class="sd">                observations.</span>
+<span class="sd">            hr_exo_features : list | tuple</span>
+<span class="sd">                List of feature names or patt*erns that should be included</span>
+<span class="sd">                in the high-resolution observation but not expected to be</span>
+<span class="sd">                output from the generative model. An example is high-res</span>
+<span class="sd">                topography that is to be injected mid-network.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">)</span>
+        <span class="n">feature_sets</span> <span class="o">=</span> <span class="n">feature_sets</span> <span class="ow">or</span> <span class="p">{}</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">features</span> <span class="o">=</span> <span class="n">feature_sets</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;features&#39;</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">features</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_lr_only_features</span> <span class="o">=</span> <span class="n">feature_sets</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;lr_only_features&#39;</span><span class="p">,</span> <span class="p">[])</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_hr_exo_features</span> <span class="o">=</span> <span class="n">feature_sets</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;hr_exo_features&#39;</span><span class="p">,</span> <span class="p">[])</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span> <span class="o">=</span> <span class="n">sample_shape</span> <span class="ow">or</span> <span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">batch_size</span> <span class="o">=</span> <span class="n">batch_size</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">lr_features</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">features</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">preflight</span><span class="p">()</span>
+
+<div class="viewcode-block" id="Sampler.get_sample_index">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler.get_sample_index">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_sample_index</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">n_obs</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Randomly gets spatiotemporal sample index.</span>
+
+<span class="sd">        Notes</span>
+<span class="sd">        -----</span>
+<span class="sd">        If ``n_obs &gt; 1`` this will get a time slice with ``n_obs *</span>
+<span class="sd">        self.sample_shape[2]`` time steps, which will then be reshaped into</span>
+<span class="sd">        ``n_obs`` samples each with ``self.sample_shape[2]`` time steps. This</span>
+<span class="sd">        is a much more efficient way of getting batches of samples but only</span>
+<span class="sd">        works if there are enough continuous time steps to sample.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        sample_index : tuple</span>
+<span class="sd">            Tuple of latitude slice, longitude slice, time slice, and features.</span>
+<span class="sd">            Used to get single observation like ``self.data[sample_index]``</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">n_obs</span> <span class="o">=</span> <span class="n">n_obs</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">batch_size</span>
+        <span class="n">spatial_slice</span> <span class="o">=</span> <span class="n">uniform_box_sampler</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">[:</span><span class="mi">2</span><span class="p">])</span>
+        <span class="n">time_slice</span> <span class="o">=</span> <span class="n">uniform_time_sampler</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">*</span> <span class="n">n_obs</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="p">(</span><span class="o">*</span><span class="n">spatial_slice</span><span class="p">,</span> <span class="n">time_slice</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Sampler.preflight">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler.preflight">[docs]</a>
+    <span class="k">def</span> <span class="nf">preflight</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if the sample_shape is larger than the requested raster</span>
+<span class="sd">        size&quot;&quot;&quot;</span>
+        <span class="n">good_shape</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+            <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+        <span class="p">)</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;spatial_sample_shape </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">[:</span><span class="mi">2</span><span class="p">]</span><span class="si">}</span><span class="s1"> is &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;larger than the raster size </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="mi">2</span><span class="p">]</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="n">good_shape</span><span class="p">,</span> <span class="n">msg</span>
+
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;sample_shape[2] (</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="si">}</span><span class="s1">) cannot be larger &#39;</span>
+            <span class="s1">&#39;than the number of time steps in the raw data &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;(</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="si">}</span><span class="s1">).&#39;</span>
+        <span class="p">)</span>
+
+        <span class="k">assert</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">&gt;=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="n">msg</span>
+
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;sample_shape[2] * batch_size (</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="si">}</span><span class="s1"> * &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">batch_size</span><span class="si">}</span><span class="s1">) is larger than the number of time steps in &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;the raw data (</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="si">}</span><span class="s1">). This prevents us from &#39;</span>
+            <span class="s1">&#39;building batches with a single sample with n_time_steps = &#39;</span>
+            <span class="s1">&#39;sample_shape[2] * batch_size, which is far more performant than &#39;</span>
+            <span class="s1">&#39;building batches with n_samples = batch_size, each with &#39;</span>
+            <span class="s1">&#39;n_time_steps = sample_shape[2].&#39;</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">&lt;</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">batch_size</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">sample_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">:</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Shape of the data sample to select when ``__next__()`` is called.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_sample_shape</span>
+
+    <span class="nd">@sample_shape</span><span class="o">.</span><span class="n">setter</span>
+    <span class="k">def</span> <span class="nf">sample_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sample_shape</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Set the shape of the data sample to select when ``__next__()`` is</span>
+<span class="sd">        called.&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_sample_shape</span> <span class="o">=</span> <span class="n">sample_shape</span>
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_sample_shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="s1">&#39;Found 2D sample shape of </span><span class="si">{}</span><span class="s1">. Adding temporal dim of 1&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">_sample_shape</span>
+                <span class="p">)</span>
+            <span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_sample_shape</span> <span class="o">=</span> <span class="p">(</span><span class="o">*</span><span class="bp">self</span><span class="o">.</span><span class="n">_sample_shape</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">hr_sample_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">:</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Shape of the data sample to select when `__next__()` is called. Same</span>
+<span class="sd">        as sample_shape&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_sample_shape</span>
+
+    <span class="nd">@hr_sample_shape</span><span class="o">.</span><span class="n">setter</span>
+    <span class="k">def</span> <span class="nf">hr_sample_shape</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hr_sample_shape</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Set the sample shape to select when `__next__()` is called. Same</span>
+<span class="sd">        as sample_shape&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_sample_shape</span> <span class="o">=</span> <span class="n">hr_sample_shape</span>
+
+    <span class="k">def</span> <span class="nf">_reshape_samples</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">samples</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Reshape samples into batch shapes, with shape = (batch_size,</span>
+<span class="sd">        *sample_shape, n_features). Samples start out with a time dimension of</span>
+<span class="sd">        shape = batch_size * sample_shape[2] so we need to split this and</span>
+<span class="sd">        reorder the dimensions.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        samples : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            Selection from `self.data` with shape:</span>
+<span class="sd">            (samp_shape[0], samp_shape[1], batch_size * samp_shape[2], n_feats)</span>
+<span class="sd">            This is reshaped to:</span>
+<span class="sd">            (batch_size, samp_shape[0], samp_shape[1], samp_shape[2], n_feats)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        batch: np.ndarray</span>
+<span class="sd">            Reshaped sample array, with shape:</span>
+<span class="sd">            (batch_size, samp_shape[0], samp_shape[1], samp_shape[2], n_feats)</span>
+
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">new_shape</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">samples</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+        <span class="n">new_shape</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="o">*</span><span class="n">new_shape</span><span class="p">[:</span><span class="mi">2</span><span class="p">],</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">batch_size</span><span class="p">,</span>
+            <span class="n">new_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">//</span> <span class="bp">self</span><span class="o">.</span><span class="n">batch_size</span><span class="p">,</span>
+            <span class="n">new_shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span>
+        <span class="p">]</span>
+        <span class="c1"># (lats, lons, batch_size, times, feats)</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">samples</span><span class="p">,</span> <span class="n">new_shape</span><span class="p">)</span>
+        <span class="c1"># (batch_size, lats, lons, times, feats)</span>
+        <span class="k">return</span> <span class="n">compute_if_dask</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="n">axes</span><span class="o">=</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">)))</span>
+
+    <span class="k">def</span> <span class="nf">_stack_samples</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">samples</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Used to build batch arrays in the case of independent time samples</span>
+<span class="sd">        (e.g. slow batching)</span>
+
+<span class="sd">        Note</span>
+<span class="sd">        ----</span>
+<span class="sd">        Tuples are in the case of dual datasets. e.g. This sampler is for a</span>
+<span class="sd">        :class:`~sup3r.preprocessing.batch_handlers.DualBatchHandler`</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        samples : Tuple[List[np.ndarray | da.core.Array], ...] |</span>
+<span class="sd">                  List[np.ndarray | da.core.Array]</span>
+<span class="sd">            Each list has length = batch_size and each array has shape:</span>
+<span class="sd">            (samp_shape[0], samp_shape[1], samp_shape[2], n_feats)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        batch: Tuple[np.ndarray, np.ndarray] | np.ndarray</span>
+<span class="sd">            Stacked sample array(s), each with shape:</span>
+<span class="sd">            (batch_size, samp_shape[0], samp_shape[1], samp_shape[2], n_feats)</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">samples</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="nb">tuple</span><span class="p">):</span>
+            <span class="n">lr</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">stack</span><span class="p">([</span><span class="n">s</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">samples</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+            <span class="n">hr</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">stack</span><span class="p">([</span><span class="n">s</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">samples</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+            <span class="k">return</span> <span class="p">(</span><span class="n">lr</span><span class="p">,</span> <span class="n">hr</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">da</span><span class="o">.</span><span class="n">stack</span><span class="p">(</span><span class="n">samples</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="nf">_fast_batch</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get batch of samples with adjacent time slices.&quot;&quot;&quot;</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">get_sample_index</span><span class="p">(</span><span class="n">n_obs</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">batch_size</span><span class="p">))</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">):</span>
+            <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_reshape_samples</span><span class="p">(</span><span class="n">o</span><span class="p">)</span> <span class="k">for</span> <span class="n">o</span> <span class="ow">in</span> <span class="n">out</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_reshape_samples</span><span class="p">(</span><span class="n">out</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="nf">_slow_batch</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get batch of samples with random time slices.&quot;&quot;&quot;</span>
+        <span class="n">samples</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">get_sample_index</span><span class="p">(</span><span class="n">n_obs</span><span class="o">=</span><span class="mi">1</span><span class="p">))</span>
+            <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">batch_size</span><span class="p">)</span>
+        <span class="p">]</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_stack_samples</span><span class="p">(</span><span class="n">samples</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="nf">_fast_batch_possible</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">batch_size</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span>
+
+    <span class="k">def</span> <span class="fm">__next__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get next batch of samples. This retrieves n_samples = batch_size</span>
+<span class="sd">        with shape = sample_shape from the `.data` (a xr.Dataset or</span>
+<span class="sd">        Sup3rDataset) through the Sup3rX accessor.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        samples : tuple(np.ndarray | da.core.Array) | np.ndarray | da.core.Array</span>
+<span class="sd">            Either a tuple or single array of samples. This is a tuple when</span>
+<span class="sd">            this method is sampling from a ``Sup3rDataset`` with two data</span>
+<span class="sd">            members</span>
+<span class="sd">        &quot;&quot;&quot;</span>  <span class="c1"># pylint: disable=line-too-long # noqa</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_fast_batch_possible</span><span class="p">():</span>
+            <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_fast_batch</span><span class="p">()</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_slow_batch</span><span class="p">()</span>
+
+    <span class="k">def</span> <span class="nf">_parse_features</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">unparsed_feats</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return a list of parsed feature names without wildcards.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">unparsed_feats</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+            <span class="n">parsed_feats</span> <span class="o">=</span> <span class="p">[</span><span class="n">unparsed_feats</span><span class="p">]</span>
+        <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">unparsed_feats</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">):</span>
+            <span class="n">parsed_feats</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">unparsed_feats</span><span class="p">)</span>
+        <span class="k">elif</span> <span class="n">unparsed_feats</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">parsed_feats</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">parsed_feats</span> <span class="o">=</span> <span class="n">unparsed_feats</span>
+
+        <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="s1">&#39;*&#39;</span> <span class="ow">in</span> <span class="n">fn</span> <span class="k">for</span> <span class="n">fn</span> <span class="ow">in</span> <span class="n">parsed_feats</span><span class="p">):</span>
+            <span class="n">out</span> <span class="o">=</span> <span class="p">[]</span>
+            <span class="k">for</span> <span class="n">feature</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">:</span>
+                <span class="n">match</span> <span class="o">=</span> <span class="nb">any</span><span class="p">(</span>
+                    <span class="n">fnmatch</span><span class="p">(</span><span class="n">feature</span><span class="o">.</span><span class="n">lower</span><span class="p">(),</span> <span class="n">pattern</span><span class="o">.</span><span class="n">lower</span><span class="p">())</span>
+                    <span class="k">for</span> <span class="n">pattern</span> <span class="ow">in</span> <span class="n">parsed_feats</span>
+                <span class="p">)</span>
+                <span class="k">if</span> <span class="n">match</span><span class="p">:</span>
+                    <span class="n">out</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span>
+            <span class="n">parsed_feats</span> <span class="o">=</span> <span class="n">out</span>
+        <span class="k">return</span> <span class="n">lowered</span><span class="p">(</span><span class="n">parsed_feats</span><span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">lr_only_features</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;List of feature names or patt*erns that should only be included in</span>
+<span class="sd">        the low-res training set and not the high-res observations.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_parse_features</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_lr_only_features</span><span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">hr_exo_features</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a list of exogenous high-resolution features that are only used</span>
+<span class="sd">        for training e.g., mid-network high-res topo injection. These must come</span>
+<span class="sd">        at the end of the high-res feature set. These can also be input to the</span>
+<span class="sd">        model as low-res features.&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_hr_exo_features</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_parse_features</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_hr_exo_features</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_hr_exo_features</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;High-res train-only features &quot;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">_hr_exo_features</span><span class="si">}</span><span class="s1">&quot; &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;do not come at the end of the full high-res feature set: &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="p">)</span>
+            <span class="n">last_feat</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">[</span><span class="o">-</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_hr_exo_features</span><span class="p">)</span> <span class="p">:]</span>
+            <span class="k">assert</span> <span class="nb">list</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_hr_exo_features</span><span class="p">)</span> <span class="o">==</span> <span class="nb">list</span><span class="p">(</span><span class="n">last_feat</span><span class="p">),</span> <span class="n">msg</span>
+
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_hr_exo_features</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">hr_out_features</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a list of high-resolution features that are intended to be</span>
+<span class="sd">        output by the GAN. Does not include high-resolution exogenous</span>
+<span class="sd">        features&quot;&quot;&quot;</span>
+
+        <span class="n">out</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">for</span> <span class="n">feature</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">:</span>
+            <span class="n">lr_only</span> <span class="o">=</span> <span class="nb">any</span><span class="p">(</span>
+                <span class="n">fnmatch</span><span class="p">(</span><span class="n">feature</span><span class="o">.</span><span class="n">lower</span><span class="p">(),</span> <span class="n">pattern</span><span class="o">.</span><span class="n">lower</span><span class="p">())</span>
+                <span class="k">for</span> <span class="n">pattern</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_only_features</span>
+            <span class="p">)</span>
+            <span class="n">ignore</span> <span class="o">=</span> <span class="n">lr_only</span> <span class="ow">or</span> <span class="n">feature</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_exo_features</span>
+            <span class="k">if</span> <span class="ow">not</span> <span class="n">ignore</span><span class="p">:</span>
+                <span class="n">out</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">out</span><span class="p">)</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;It appears that all handler features &quot;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="si">}</span><span class="s1">&quot; &#39;</span>
+                <span class="s1">&#39;were specified as `hr_exo_features` or `lr_only_features` &#39;</span>
+                <span class="s1">&#39;and therefore there are no output features!&#39;</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">lowered</span><span class="p">(</span><span class="n">out</span><span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">hr_features_ind</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the high-resolution feature channel indices that should be</span>
+<span class="sd">        included for training. Any high-resolution features that are only</span>
+<span class="sd">        included in the data handler to be coarsened for the low-res input are</span>
+<span class="sd">        removed&quot;&quot;&quot;</span>
+        <span class="n">hr_features</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_out_features</span><span class="p">)</span> <span class="o">+</span> <span class="nb">list</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_exo_features</span><span class="p">)</span>
+        <span class="k">if</span> <span class="nb">list</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">)</span> <span class="o">==</span> <span class="n">hr_features</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">))</span>
+        <span class="k">return</span> <span class="p">[</span>
+            <span class="n">i</span>
+            <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">feature</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">)</span>
+            <span class="k">if</span> <span class="n">feature</span> <span class="ow">in</span> <span class="n">hr_features</span>
+        <span class="p">]</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">hr_features</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the high-resolution features corresponding to</span>
+<span class="sd">        `hr_features_ind`&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">[</span><span class="n">ind</span><span class="p">]</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="k">for</span> <span class="n">ind</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_features_ind</span><span class="p">]</span></div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.preprocessing.samplers.cc</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Sampler for climate change applications.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">Optional</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.base</span> <span class="kn">import</span> <span class="n">Sup3rDataset</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.names</span> <span class="kn">import</span> <span class="n">Dimension</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.samplers.dual</span> <span class="kn">import</span> <span class="n">DualSampler</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.samplers.utilities</span> <span class="kn">import</span> <span class="n">nsrdb_reduce_daily_data</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.utilities</span> <span class="kn">import</span> <span class="n">nn_fill_array</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="DualSamplerCC">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.html#sup3r.preprocessing.samplers.cc.DualSamplerCC">[docs]</a>
+<span class="k">class</span> <span class="nc">DualSamplerCC</span><span class="p">(</span><span class="n">DualSampler</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Special sampling of WTK or NSRDB data for climate change applications</span>
+
+<span class="sd">    Note</span>
+<span class="sd">    ----</span>
+<span class="sd">    This will always give daily / hourly data if ``t_enhance != 1``. The number</span>
+<span class="sd">    of days / hours in the samples is determined by t_enhance. For example, if</span>
+<span class="sd">    ``t_enhance = 8`` and ``sample_shape = (..., 24)`` there will be 3 days in</span>
+<span class="sd">    the low res sample: `lr_sample_shape = (..., 3)`. If</span>
+<span class="sd">    ``1 &lt; t_enhance != 24`` :meth:`reduce_high_res_sub_daily` will be used to</span>
+<span class="sd">    reduce a high res sample shape from</span>
+<span class="sd">    ``(..., sample_shape[2] * 24 // t_enhance)`` to ``(..., sample_shape[2])``</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">data</span><span class="p">:</span> <span class="n">Sup3rDataset</span><span class="p">,</span>
+        <span class="n">sample_shape</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">tuple</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">16</span><span class="p">,</span>
+        <span class="n">s_enhance</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
+        <span class="n">t_enhance</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">24</span><span class="p">,</span>
+        <span class="n">feature_sets</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        data : Sup3rDataset</span>
+<span class="sd">            A :class:`~sup3r.preprocessing.Sup3rDataset` instance with low-res</span>
+<span class="sd">            and high-res data members</span>
+<span class="sd">        sample_shape : tuple</span>
+<span class="sd">            Size of arrays to sample from the high-res data. The sample shape</span>
+<span class="sd">            for the low-res sampler will be determined from the enhancement</span>
+<span class="sd">            factors.</span>
+<span class="sd">        s_enhance : int</span>
+<span class="sd">            Spatial enhancement factor</span>
+<span class="sd">        t_enhance : int</span>
+<span class="sd">            Temporal enhancement factor</span>
+<span class="sd">        feature_sets : Optional[dict]</span>
+<span class="sd">            Optional dictionary describing how the full set of features is</span>
+<span class="sd">            split between ``lr_only_features`` and ``hr_exo_features``.</span>
+
+<span class="sd">            lr_only_features : list | tuple</span>
+<span class="sd">                List of feature names or patt*erns that should only be</span>
+<span class="sd">                included in the low-res training set and not the high-res</span>
+<span class="sd">                observations.</span>
+<span class="sd">            hr_exo_features : list | tuple</span>
+<span class="sd">                List of feature names or patt*erns that should be included</span>
+<span class="sd">                in the high-resolution observation but not expected to be</span>
+<span class="sd">                output from the generative model. An example is high-res</span>
+<span class="sd">                topography that is to be injected mid-network.</span>
+
+<span class="sd">        See Also</span>
+<span class="sd">        --------</span>
+<span class="sd">        :class:`~sup3r.preprocessing.DualSampler`</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s1"> requires a Sup3rDataset object &#39;</span>
+            <span class="s1">&#39;with .daily and .hourly data members, in that order&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="s1">&#39;daily&#39;</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="s1">&#39;hourly&#39;</span><span class="p">),</span> <span class="n">msg</span>
+        <span class="n">lr</span><span class="p">,</span> <span class="n">hr</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">daily</span><span class="p">,</span> <span class="n">data</span><span class="o">.</span><span class="n">hourly</span>
+        <span class="k">assert</span> <span class="n">lr</span> <span class="o">==</span> <span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="ow">and</span> <span class="n">hr</span> <span class="o">==</span> <span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">msg</span>
+        <span class="k">if</span> <span class="n">t_enhance</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">hr</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">daily</span>
+        <span class="k">if</span> <span class="n">s_enhance</span> <span class="o">&gt;</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">lr</span> <span class="o">=</span> <span class="n">lr</span><span class="o">.</span><span class="n">coarsen</span><span class="p">(</span>
+                <span class="p">{</span>
+                    <span class="n">Dimension</span><span class="o">.</span><span class="n">SOUTH_NORTH</span><span class="p">:</span> <span class="n">s_enhance</span><span class="p">,</span>
+                    <span class="n">Dimension</span><span class="o">.</span><span class="n">WEST_EAST</span><span class="p">:</span> <span class="n">s_enhance</span><span class="p">,</span>
+                <span class="p">}</span>
+            <span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
+        <span class="n">data</span> <span class="o">=</span> <span class="n">Sup3rDataset</span><span class="p">(</span><span class="n">low_res</span><span class="o">=</span><span class="n">lr</span><span class="p">,</span> <span class="n">high_res</span><span class="o">=</span><span class="n">hr</span><span class="p">)</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span>
+            <span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span>
+            <span class="n">sample_shape</span><span class="o">=</span><span class="n">sample_shape</span><span class="p">,</span>
+            <span class="n">batch_size</span><span class="o">=</span><span class="n">batch_size</span><span class="p">,</span>
+            <span class="n">t_enhance</span><span class="o">=</span><span class="n">t_enhance</span><span class="p">,</span>
+            <span class="n">s_enhance</span><span class="o">=</span><span class="n">s_enhance</span><span class="p">,</span>
+            <span class="n">feature_sets</span><span class="o">=</span><span class="n">feature_sets</span><span class="p">,</span>
+        <span class="p">)</span>
+
+<div class="viewcode-block" id="DualSamplerCC.check_for_consistent_shapes">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.html#sup3r.preprocessing.samplers.cc.DualSamplerCC.check_for_consistent_shapes">[docs]</a>
+    <span class="k">def</span> <span class="nf">check_for_consistent_shapes</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Make sure container shapes and sample shapes are compatible with</span>
+<span class="sd">        enhancement factors.&quot;&quot;&quot;</span>
+        <span class="n">enhanced_shape</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">,</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">,</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span><span class="mi">1</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span> <span class="o">==</span> <span class="mi">1</span> <span class="k">else</span> <span class="mi">24</span><span class="p">),</span>
+        <span class="p">)</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;hr_data.shape </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_data</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1"> and enhanced &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;lr_data.shape </span><span class="si">{</span><span class="n">enhanced_shape</span><span class="si">}</span><span class="s1"> are not compatible with &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;the given enhancement factors t_enhance = </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span><span class="si">}</span><span class="s1">, &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;s_enhance = </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_data</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="mi">3</span><span class="p">]</span> <span class="o">==</span> <span class="n">enhanced_shape</span><span class="p">,</span> <span class="n">msg</span></div>
+
+
+<div class="viewcode-block" id="DualSamplerCC.reduce_high_res_sub_daily">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.html#sup3r.preprocessing.samplers.cc.DualSamplerCC.reduce_high_res_sub_daily">[docs]</a>
+    <span class="k">def</span> <span class="nf">reduce_high_res_sub_daily</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">high_res</span><span class="p">,</span> <span class="n">csr_ind</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Take an hourly high-res observation and reduce the temporal axis</span>
+<span class="sd">        down to lr_sample_shape[2] * t_enhance time steps, using only daylight</span>
+<span class="sd">        hours on the middle part of the high res data.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        high_res : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            5D array with dimensions (n_obs, spatial_1, spatial_2, temporal,</span>
+<span class="sd">            n_features) where temporal &gt;= 24 (set by the data handler).</span>
+<span class="sd">        csr_ind : int</span>
+<span class="sd">            Feature index of clearsky_ratio. e.g. self.data[..., csr_ind] -&gt;</span>
+<span class="sd">            cs_ratio</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        high_res : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            5D array with dimensions (n_obs, spatial_1, spatial_2, temporal,</span>
+<span class="sd">            n_features) where temporal has been reduced down to the integer</span>
+<span class="sd">            lr_sample_shape[2] * t_enhance. For example if hr_sample_shape[2]</span>
+<span class="sd">            is 9 and t_enhance = 8, 72 hourly time steps will be reduced to 9</span>
+<span class="sd">            using the center daylight 9 hours from the second day.</span>
+
+<span class="sd">        Note</span>
+<span class="sd">        ----</span>
+<span class="sd">        This only does something when ``1 &lt; t_enhance &lt; 24.`` If</span>
+<span class="sd">        ``t_enhance = 24`` there is no need for reduction since every daily</span>
+<span class="sd">        time step will have 24 hourly time steps in the high_res batch data.</span>
+<span class="sd">        Of course, if ``t_enhance = 1``, we are running for a spatial only</span>
+<span class="sd">        model so this routine is unnecessary.</span>
+
+<span class="sd">        *Needs review from @grantbuster</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span> <span class="ow">not</span> <span class="ow">in</span> <span class="p">(</span><span class="mi">24</span><span class="p">,</span> <span class="mi">1</span><span class="p">):</span>
+            <span class="n">high_res</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_middle_days</span><span class="p">(</span><span class="n">high_res</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_sample_shape</span><span class="p">)</span>
+            <span class="n">high_res</span> <span class="o">=</span> <span class="n">nsrdb_reduce_daily_data</span><span class="p">(</span>
+                <span class="n">high_res</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_sample_shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">csr_ind</span><span class="o">=</span><span class="n">csr_ind</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="n">high_res</span></div>
+
+
+<div class="viewcode-block" id="DualSamplerCC.get_middle_days">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.html#sup3r.preprocessing.samplers.cc.DualSamplerCC.get_middle_days">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">get_middle_days</span><span class="p">(</span><span class="n">high_res</span><span class="p">,</span> <span class="n">sample_shape</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get middle chunk of high_res data that will then be reduced to day</span>
+<span class="sd">        time steps. This has n_time_steps = 24 if sample_shape[-1] &lt;= 24</span>
+<span class="sd">        otherwise n_time_steps = sample_shape[-1].&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="nb">int</span><span class="p">(</span><span class="n">high_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span> <span class="o">/</span> <span class="mi">24</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">mid</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="n">high_res</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span> <span class="o">/</span> <span class="mi">2</span><span class="p">))</span>
+            <span class="n">start</span> <span class="o">=</span> <span class="n">mid</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">((</span><span class="n">sample_shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">//</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">12</span><span class="p">))</span>
+            <span class="n">t_slice</span> <span class="o">=</span> <span class="nb">slice</span><span class="p">(</span><span class="n">start</span><span class="p">,</span> <span class="n">start</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">((</span><span class="n">sample_shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="mi">24</span><span class="p">)))</span>
+            <span class="n">high_res</span> <span class="o">=</span> <span class="n">high_res</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">t_slice</span><span class="p">,</span> <span class="p">:]</span>
+        <span class="k">return</span> <span class="n">high_res</span></div>
+
+
+<div class="viewcode-block" id="DualSamplerCC.get_sample_index">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.html#sup3r.preprocessing.samplers.cc.DualSamplerCC.get_sample_index">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_sample_index</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">n_obs</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get sample index for expanded hourly chunk which will be reduced to</span>
+<span class="sd">        the given sample shape.&quot;&quot;&quot;</span>
+        <span class="n">lr_ind</span><span class="p">,</span> <span class="n">hr_ind</span> <span class="o">=</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">get_sample_index</span><span class="p">(</span><span class="n">n_obs</span><span class="o">=</span><span class="n">n_obs</span><span class="p">)</span>
+        <span class="n">upsamp_factor</span> <span class="o">=</span> <span class="mi">1</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span> <span class="o">==</span> <span class="mi">1</span> <span class="k">else</span> <span class="mi">24</span>
+        <span class="n">hr_ind</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="o">*</span><span class="n">hr_ind</span><span class="p">[:</span><span class="mi">2</span><span class="p">],</span>
+            <span class="nb">slice</span><span class="p">(</span>
+                <span class="n">upsamp_factor</span> <span class="o">*</span> <span class="n">lr_ind</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">start</span><span class="p">,</span> <span class="n">upsamp_factor</span> <span class="o">*</span> <span class="n">lr_ind</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">stop</span>
+            <span class="p">),</span>
+            <span class="n">hr_ind</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="n">lr_ind</span><span class="p">,</span> <span class="n">hr_ind</span></div>
+
+
+    <span class="k">def</span> <span class="nf">_fast_batch_possible</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="n">upsamp_factor</span> <span class="o">=</span> <span class="mi">1</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span> <span class="o">==</span> <span class="mi">1</span> <span class="k">else</span> <span class="mi">24</span>
+        <span class="k">return</span> <span class="p">(</span>
+            <span class="n">upsamp_factor</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_sample_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">batch_size</span>
+            <span class="o">&lt;=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span>
+        <span class="p">)</span>
+
+    <span class="k">def</span> <span class="fm">__next__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Slight modification of `super().__next__()` to first get a sample of</span>
+<span class="sd">        `shape = (..., hr_sample_shape[2] * 24 // t_enhance)` and then reduce</span>
+<span class="sd">        this to `(..., hr_sample_shape[2])` with</span>
+<span class="sd">        :func:`nsrdb_reduce_daily_data.` If this is for a spatial only model</span>
+<span class="sd">        this subroutine is skipped.&quot;&quot;&quot;</span>
+        <span class="n">low_res</span><span class="p">,</span> <span class="n">high_res</span> <span class="o">=</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__next__</span><span class="p">()</span>
+        <span class="k">if</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">hr_out_features</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+            <span class="ow">and</span> <span class="s1">&#39;clearsky_ratio&#39;</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_out_features</span>
+            <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span> <span class="o">!=</span> <span class="mi">1</span>
+        <span class="p">):</span>
+            <span class="n">i_cs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_out_features</span><span class="o">.</span><span class="n">index</span><span class="p">(</span><span class="s1">&#39;clearsky_ratio&#39;</span><span class="p">)</span>
+            <span class="n">high_res</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">reduce_high_res_sub_daily</span><span class="p">(</span><span class="n">high_res</span><span class="p">,</span> <span class="n">csr_ind</span><span class="o">=</span><span class="n">i_cs</span><span class="p">)</span>
+
+            <span class="k">if</span> <span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">high_res</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">i_cs</span><span class="p">])</span><span class="o">.</span><span class="n">any</span><span class="p">():</span>
+                <span class="n">high_res</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">i_cs</span><span class="p">]</span> <span class="o">=</span> <span class="n">nn_fill_array</span><span class="p">(</span><span class="n">high_res</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">i_cs</span><span class="p">])</span>
+
+        <span class="k">return</span> <span class="n">low_res</span><span class="p">,</span> <span class="n">high_res</span></div>
+
+</pre></div>
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
+                  
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+  <h1>Source code for sup3r.preprocessing.samplers.dc</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Data centric sampler. This samples container data according to weights</span>
+<span class="sd">which are updated during training based on performance of the model.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Union</span>
+
+<span class="kn">import</span> <span class="nn">dask.array</span> <span class="k">as</span> <span class="nn">da</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.accessor</span> <span class="kn">import</span> <span class="n">Sup3rX</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.base</span> <span class="kn">import</span> <span class="n">Sup3rDataset</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.samplers.base</span> <span class="kn">import</span> <span class="n">Sampler</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.samplers.utilities</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">uniform_box_sampler</span><span class="p">,</span>
+    <span class="n">uniform_time_sampler</span><span class="p">,</span>
+    <span class="n">weighted_box_sampler</span><span class="p">,</span>
+    <span class="n">weighted_time_sampler</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="SamplerDC">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.samplers.dc.SamplerDC.html#sup3r.preprocessing.samplers.dc.SamplerDC">[docs]</a>
+<span class="k">class</span> <span class="nc">SamplerDC</span><span class="p">(</span><span class="n">Sampler</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;DataCentric Sampler class used for sampling based on weights which can</span>
+<span class="sd">    be updated during training.&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">data</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">Sup3rX</span><span class="p">,</span> <span class="n">Sup3rDataset</span><span class="p">],</span>
+        <span class="n">sample_shape</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">tuple</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">16</span><span class="p">,</span>
+        <span class="n">feature_sets</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">spatial_weights</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span>
+            <span class="n">Union</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">da</span><span class="o">.</span><span class="n">core</span><span class="o">.</span><span class="n">Array</span><span class="p">,</span> <span class="n">List</span><span class="p">]</span>
+        <span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">temporal_weights</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span>
+            <span class="n">Union</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">da</span><span class="o">.</span><span class="n">core</span><span class="o">.</span><span class="n">Array</span><span class="p">,</span> <span class="n">List</span><span class="p">]</span>
+        <span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        data : Union[Sup3rX, Sup3rDataset],</span>
+<span class="sd">            Object with data that will be sampled from. Usually the `.data`</span>
+<span class="sd">            attribute of various :class:`Container` objects.  i.e.</span>
+<span class="sd">            :class:`Loader`, :class:`Rasterizer`, :class:`Deriver`, as long as</span>
+<span class="sd">            the spatial dimensions are not flattened.</span>
+<span class="sd">        sample_shape : tuple</span>
+<span class="sd">            Size of arrays to sample from the contained data.</span>
+<span class="sd">        batch_size : int</span>
+<span class="sd">            Number of samples to get to build a single batch. A sample of</span>
+<span class="sd">            (sample_shape[0], sample_shape[1], batch_size * sample_shape[2])</span>
+<span class="sd">            is first selected from underlying dataset and then reshaped into</span>
+<span class="sd">            (batch_size, *sample_shape) to get a single batch. This is more</span>
+<span class="sd">            efficient than getting N = batch_size samples and then stacking.</span>
+<span class="sd">        feature_sets : Optional[dict]</span>
+<span class="sd">            Optional dictionary describing how the full set of features is</span>
+<span class="sd">            split between `lr_only_features` and `hr_exo_features`. See</span>
+<span class="sd">            :class:`~sup3r.preprocessing.Sampler`</span>
+<span class="sd">        spatial_weights : Union[np.ndarray, da.core.Array] | List | None</span>
+<span class="sd">            Set of weights used to initialize the spatial sampling. e.g. If we</span>
+<span class="sd">            want to start off sampling across 2 spatial bins evenly this should</span>
+<span class="sd">            be [0.5, 0.5]. During training these weights will be updated based</span>
+<span class="sd">            only performance across the bins associated with these weights.</span>
+<span class="sd">        temporal_weights : Union[np.ndarray, da.core.Array] | List | None</span>
+<span class="sd">            Set of weights used to initialize the temporal sampling. e.g. If we</span>
+<span class="sd">            want to start off sampling only the first season of the year this</span>
+<span class="sd">            should be [1, 0, 0, 0]. During training these weights will be</span>
+<span class="sd">            updated based only performance across the bins associated with</span>
+<span class="sd">            these weights.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">spatial_weights</span> <span class="o">=</span> <span class="n">spatial_weights</span> <span class="ow">or</span> <span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">temporal_weights</span> <span class="o">=</span> <span class="n">temporal_weights</span> <span class="ow">or</span> <span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span>
+            <span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span>
+            <span class="n">sample_shape</span><span class="o">=</span><span class="n">sample_shape</span><span class="p">,</span>
+            <span class="n">batch_size</span><span class="o">=</span><span class="n">batch_size</span><span class="p">,</span>
+            <span class="n">feature_sets</span><span class="o">=</span><span class="n">feature_sets</span><span class="p">,</span>
+        <span class="p">)</span>
+
+<div class="viewcode-block" id="SamplerDC.update_weights">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.samplers.dc.SamplerDC.html#sup3r.preprocessing.samplers.dc.SamplerDC.update_weights">[docs]</a>
+    <span class="k">def</span> <span class="nf">update_weights</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">spatial_weights</span><span class="p">,</span> <span class="n">temporal_weights</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Update spatial and temporal sampling weights.&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">spatial_weights</span> <span class="o">=</span> <span class="n">spatial_weights</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">temporal_weights</span> <span class="o">=</span> <span class="n">temporal_weights</span></div>
+
+
+<div class="viewcode-block" id="SamplerDC.get_sample_index">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.samplers.dc.SamplerDC.html#sup3r.preprocessing.samplers.dc.SamplerDC.get_sample_index">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_sample_index</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">n_obs</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Randomly gets weighted spatial sample and time sample indices</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        observation_index : tuple</span>
+<span class="sd">            Tuple of sampled spatial grid, time slice, and features indices.</span>
+<span class="sd">            Used to get single observation like self.data[observation_index]</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">n_obs</span> <span class="o">=</span> <span class="n">n_obs</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">batch_size</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">spatial_weights</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">spatial_slice</span> <span class="o">=</span> <span class="n">weighted_box_sampler</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">[:</span><span class="mi">2</span><span class="p">],</span> <span class="n">weights</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">spatial_weights</span>
+            <span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">spatial_slice</span> <span class="o">=</span> <span class="n">uniform_box_sampler</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">[:</span><span class="mi">2</span><span class="p">]</span>
+            <span class="p">)</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">temporal_weights</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">time_slice</span> <span class="o">=</span> <span class="n">weighted_time_sampler</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">*</span> <span class="n">n_obs</span><span class="p">,</span>
+                <span class="n">weights</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">temporal_weights</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">time_slice</span> <span class="o">=</span> <span class="n">uniform_time_sampler</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">*</span> <span class="n">n_obs</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="p">(</span><span class="o">*</span><span class="n">spatial_slice</span><span class="p">,</span> <span class="n">time_slice</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">)</span></div>
+</div>
+
+</pre></div>
+
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+  <h1>Source code for sup3r.preprocessing.samplers.dual</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Dual Sampler objects. These are used to sample from paired datasets with</span>
+<span class="sd">low and high resolution data. These paired datasets are contained in a</span>
+<span class="sd">Sup3rDataset object.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">Optional</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.base</span> <span class="kn">import</span> <span class="n">Sup3rDataset</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="n">lowered</span>
+
+<span class="kn">from</span> <span class="nn">.base</span> <span class="kn">import</span> <span class="n">Sampler</span>
+<span class="kn">from</span> <span class="nn">.utilities</span> <span class="kn">import</span> <span class="n">uniform_box_sampler</span><span class="p">,</span> <span class="n">uniform_time_sampler</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="DualSampler">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler">[docs]</a>
+<span class="k">class</span> <span class="nc">DualSampler</span><span class="p">(</span><span class="n">Sampler</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Sampler for sampling from paired (or dual) datasets. Pairs consist of</span>
+<span class="sd">    low and high resolution data, which are contained by a Sup3rDataset.&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">data</span><span class="p">:</span> <span class="n">Sup3rDataset</span><span class="p">,</span>
+        <span class="n">sample_shape</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">tuple</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+        <span class="n">batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">16</span><span class="p">,</span>
+        <span class="n">s_enhance</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
+        <span class="n">t_enhance</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
+        <span class="n">feature_sets</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        data : Sup3rDataset</span>
+<span class="sd">            A :class:`~sup3r.preprocessing.base.Sup3rDataset` instance with</span>
+<span class="sd">            low-res and high-res data members</span>
+<span class="sd">        sample_shape : tuple</span>
+<span class="sd">            Size of arrays to sample from the high-res data. The sample shape</span>
+<span class="sd">            for the low-res sampler will be determined from the enhancement</span>
+<span class="sd">            factors.</span>
+<span class="sd">        s_enhance : int</span>
+<span class="sd">            Spatial enhancement factor</span>
+<span class="sd">        t_enhance : int</span>
+<span class="sd">            Temporal enhancement factor</span>
+<span class="sd">        feature_sets : Optional[dict]</span>
+<span class="sd">            Optional dictionary describing how the full set of features is</span>
+<span class="sd">            split between `lr_only_features` and `hr_exo_features`.</span>
+
+<span class="sd">            lr_only_features : list | tuple</span>
+<span class="sd">                List of feature names or patt*erns that should only be</span>
+<span class="sd">                included in the low-res training set and not the high-res</span>
+<span class="sd">                observations.</span>
+<span class="sd">            hr_exo_features : list | tuple</span>
+<span class="sd">                List of feature names or patt*erns that should be included</span>
+<span class="sd">                in the high-resolution observation but not expected to be</span>
+<span class="sd">                output from the generative model. An example is high-res</span>
+<span class="sd">                topography that is to be injected mid-network.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s1"> requires a Sup3rDataset object &#39;</span>
+            <span class="s1">&#39;with `.low_res` and `.high_res` data members, in that order&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="s1">&#39;low_res&#39;</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="s1">&#39;high_res&#39;</span><span class="p">),</span> <span class="n">msg</span>
+        <span class="k">assert</span> <span class="n">data</span><span class="o">.</span><span class="n">low_res</span> <span class="o">==</span> <span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="ow">and</span> <span class="n">data</span><span class="o">.</span><span class="n">high_res</span> <span class="o">==</span> <span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">msg</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span>
+            <span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span> <span class="n">sample_shape</span><span class="o">=</span><span class="n">sample_shape</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="n">batch_size</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">low_res</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">high_res</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">hr_sample_shape</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">lr_sample_shape</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">//</span> <span class="n">s_enhance</span><span class="p">,</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">//</span> <span class="n">s_enhance</span><span class="p">,</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">//</span> <span class="n">t_enhance</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="n">feature_sets</span> <span class="o">=</span> <span class="n">feature_sets</span> <span class="ow">or</span> <span class="p">{}</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_lr_only_features</span> <span class="o">=</span> <span class="n">feature_sets</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;lr_only_features&#39;</span><span class="p">,</span> <span class="p">[])</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_hr_exo_features</span> <span class="o">=</span> <span class="n">feature_sets</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;hr_exo_features&#39;</span><span class="p">,</span> <span class="p">[])</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">lr_features</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="o">.</span><span class="n">data_vars</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">features</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_features</span><span class="p">(</span><span class="n">feature_sets</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span> <span class="o">=</span> <span class="n">s_enhance</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span> <span class="o">=</span> <span class="n">t_enhance</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">check_for_consistent_shapes</span><span class="p">()</span>
+        <span class="n">post_init_args</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="s1">&#39;lr_sample_shape&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_sample_shape</span><span class="p">,</span>
+            <span class="s1">&#39;hr_sample_shape&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_sample_shape</span><span class="p">,</span>
+            <span class="s1">&#39;lr_features&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_features</span><span class="p">,</span>
+            <span class="s1">&#39;hr_features&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_features</span><span class="p">,</span>
+        <span class="p">}</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">post_init_log</span><span class="p">(</span><span class="n">post_init_args</span><span class="p">)</span>
+
+<div class="viewcode-block" id="DualSampler.get_features">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler.get_features">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_features</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">feature_sets</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Return default set of features composed from data vars in low res</span>
+<span class="sd">        and high res data objects or the value provided through the</span>
+<span class="sd">        feature_sets dictionary.&quot;&quot;&quot;</span>
+        <span class="n">features</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">_</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="n">features</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
+            <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="p">[</span><span class="o">*</span><span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="o">.</span><span class="n">features</span><span class="p">,</span> <span class="o">*</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_data</span><span class="o">.</span><span class="n">features</span><span class="p">]</span>
+            <span class="k">if</span> <span class="n">f</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">features</span> <span class="ow">and</span> <span class="n">f</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">lowered</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_hr_exo_features</span><span class="p">)</span>
+        <span class="p">]</span>
+        <span class="n">features</span> <span class="o">+=</span> <span class="n">lowered</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_hr_exo_features</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">feature_sets</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;features&#39;</span><span class="p">,</span> <span class="n">features</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="DualSampler.check_for_consistent_shapes">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler.check_for_consistent_shapes">[docs]</a>
+    <span class="k">def</span> <span class="nf">check_for_consistent_shapes</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Make sure container shapes are compatible with enhancement</span>
+<span class="sd">        factors.&quot;&quot;&quot;</span>
+        <span class="n">enhanced_shape</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">,</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">,</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;hr_data.shape </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">hr_data</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1"> and enhanced &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;lr_data.shape </span><span class="si">{</span><span class="n">enhanced_shape</span><span class="si">}</span><span class="s1"> are not compatible with &#39;</span>
+            <span class="s1">&#39;the given enhancement factors&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_data</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="mi">3</span><span class="p">]</span> <span class="o">==</span> <span class="n">enhanced_shape</span><span class="p">,</span> <span class="n">msg</span></div>
+
+
+<div class="viewcode-block" id="DualSampler.get_sample_index">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler.get_sample_index">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_sample_index</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">n_obs</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get paired sample index, consisting of index for the low res sample</span>
+<span class="sd">        and the index for the high res sample with the same spatiotemporal</span>
+<span class="sd">        extent.&quot;&quot;&quot;</span>
+        <span class="n">n_obs</span> <span class="o">=</span> <span class="n">n_obs</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">batch_size</span>
+        <span class="n">spatial_slice</span> <span class="o">=</span> <span class="n">uniform_box_sampler</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_sample_shape</span><span class="p">[:</span><span class="mi">2</span><span class="p">]</span>
+        <span class="p">)</span>
+        <span class="n">time_slice</span> <span class="o">=</span> <span class="n">uniform_time_sampler</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">lr_data</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_sample_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">*</span> <span class="n">n_obs</span>
+        <span class="p">)</span>
+        <span class="n">lr_index</span> <span class="o">=</span> <span class="p">(</span><span class="o">*</span><span class="n">spatial_slice</span><span class="p">,</span> <span class="n">time_slice</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr_features</span><span class="p">)</span>
+        <span class="n">hr_index</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="nb">slice</span><span class="p">(</span><span class="n">s</span><span class="o">.</span><span class="n">start</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">,</span> <span class="n">s</span><span class="o">.</span><span class="n">stop</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">)</span>
+            <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">lr_index</span><span class="p">[:</span><span class="mi">2</span><span class="p">]</span>
+        <span class="p">]</span>
+        <span class="n">hr_index</span> <span class="o">+=</span> <span class="p">[</span>
+            <span class="nb">slice</span><span class="p">(</span><span class="n">s</span><span class="o">.</span><span class="n">start</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span><span class="p">,</span> <span class="n">s</span><span class="o">.</span><span class="n">stop</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span><span class="p">)</span>
+            <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">lr_index</span><span class="p">[</span><span class="mi">2</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+        <span class="p">]</span>
+        <span class="n">hr_index</span> <span class="o">=</span> <span class="p">(</span><span class="o">*</span><span class="n">hr_index</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">hr_features</span><span class="p">)</span>
+        <span class="k">return</span> <span class="p">(</span><span class="n">lr_index</span><span class="p">,</span> <span class="n">hr_index</span><span class="p">)</span></div>
+</div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.preprocessing.samplers.utilities</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Miscellaneous utilities for sampling&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">from</span> <span class="nn">warnings</span> <span class="kn">import</span> <span class="n">warn</span>
+
+<span class="kn">import</span> <span class="nn">dask.array</span> <span class="k">as</span> <span class="nn">da</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">_compute_chunks_if_dask</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.utilities</span> <span class="kn">import</span> <span class="n">RANDOM_GENERATOR</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="uniform_box_sampler">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.samplers.utilities.uniform_box_sampler.html#sup3r.preprocessing.samplers.utilities.uniform_box_sampler">[docs]</a>
+<span class="k">def</span> <span class="nf">uniform_box_sampler</span><span class="p">(</span><span class="n">data_shape</span><span class="p">,</span> <span class="n">sample_shape</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Returns a 2D spatial slice used to extract a sample from a data array.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    data_shape : tuple</span>
+<span class="sd">        (rows, cols) Size of full grid available for sampling</span>
+<span class="sd">    sample_shape : tuple</span>
+<span class="sd">        (rows, cols) Size of grid to sample from data</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    slices : list</span>
+<span class="sd">        List of slices corresponding to row and col extent of arr sample</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">shape_1</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="n">data_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="k">if</span> <span class="n">data_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">&lt;</span> <span class="n">sample_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="k">else</span> <span class="n">sample_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+    <span class="p">)</span>
+    <span class="n">shape_2</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="n">data_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="k">if</span> <span class="n">data_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">&lt;</span> <span class="n">sample_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="k">else</span> <span class="n">sample_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+    <span class="p">)</span>
+    <span class="n">shape</span> <span class="o">=</span> <span class="p">(</span><span class="n">shape_1</span><span class="p">,</span> <span class="n">shape_2</span><span class="p">)</span>
+    <span class="n">start_row</span> <span class="o">=</span> <span class="n">RANDOM_GENERATOR</span><span class="o">.</span><span class="n">integers</span><span class="p">(</span>
+        <span class="mi">0</span><span class="p">,</span> <span class="n">data_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">sample_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span>
+    <span class="p">)</span>
+    <span class="n">start_col</span> <span class="o">=</span> <span class="n">RANDOM_GENERATOR</span><span class="o">.</span><span class="n">integers</span><span class="p">(</span>
+        <span class="mi">0</span><span class="p">,</span> <span class="n">data_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">sample_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span>
+    <span class="p">)</span>
+    <span class="n">stop_row</span> <span class="o">=</span> <span class="n">start_row</span> <span class="o">+</span> <span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+    <span class="n">stop_col</span> <span class="o">=</span> <span class="n">start_col</span> <span class="o">+</span> <span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+
+    <span class="k">return</span> <span class="p">[</span><span class="nb">slice</span><span class="p">(</span><span class="n">start_row</span><span class="p">,</span> <span class="n">stop_row</span><span class="p">),</span> <span class="nb">slice</span><span class="p">(</span><span class="n">start_col</span><span class="p">,</span> <span class="n">stop_col</span><span class="p">)]</span></div>
+
+
+
+<div class="viewcode-block" id="weighted_box_sampler">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.samplers.utilities.weighted_box_sampler.html#sup3r.preprocessing.samplers.utilities.weighted_box_sampler">[docs]</a>
+<span class="k">def</span> <span class="nf">weighted_box_sampler</span><span class="p">(</span><span class="n">data_shape</span><span class="p">,</span> <span class="n">sample_shape</span><span class="p">,</span> <span class="n">weights</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Extracts a temporal slice from data with selection weighted based on</span>
+<span class="sd">    provided weights</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    data_shape : tuple</span>
+<span class="sd">        (rows, cols) Size of full spatial grid available for sampling</span>
+<span class="sd">    sample_shape : tuple</span>
+<span class="sd">        (rows, cols) Size of grid to sample from data</span>
+<span class="sd">    weights : ndarray</span>
+<span class="sd">        Array of weights used to specify selection strategy. e.g. If weights is</span>
+<span class="sd">        [0.2, 0.4, 0.1, 0.3] then the upper left quadrant of the spatial</span>
+<span class="sd">        domain will be sampled 20 percent of the time, the upper right quadrant</span>
+<span class="sd">        will be sampled 40 percent of the time, etc.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    slices : list</span>
+<span class="sd">        List of spatial slices [spatial_1, spatial_2]</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">max_cols</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="n">data_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="k">if</span> <span class="n">data_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">&lt;</span> <span class="n">sample_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="k">else</span> <span class="n">sample_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+    <span class="p">)</span>
+    <span class="n">max_rows</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="n">data_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="k">if</span> <span class="n">data_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">&lt;</span> <span class="n">sample_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="k">else</span> <span class="n">sample_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+    <span class="p">)</span>
+    <span class="n">max_cols</span> <span class="o">=</span> <span class="n">data_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">max_cols</span> <span class="o">+</span> <span class="mi">1</span>
+    <span class="n">max_rows</span> <span class="o">=</span> <span class="n">data_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">max_rows</span> <span class="o">+</span> <span class="mi">1</span>
+    <span class="n">indices</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">max_rows</span> <span class="o">*</span> <span class="n">max_cols</span><span class="p">)</span>
+    <span class="n">chunks</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array_split</span><span class="p">(</span><span class="n">indices</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">weights</span><span class="p">))</span>
+    <span class="n">weight_list</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">w</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">weights</span><span class="p">):</span>
+        <span class="n">weight_list</span> <span class="o">+=</span> <span class="p">[</span><span class="n">w</span><span class="p">]</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="n">chunks</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
+    <span class="n">weight_list</span> <span class="o">/=</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">weight_list</span><span class="p">)</span>
+    <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="s1">&#39;Must have a sample_shape with a number of elements greater than &#39;</span>
+        <span class="s1">&#39;or equal to the number of spatial weights.&#39;</span>
+    <span class="p">)</span>
+    <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">indices</span><span class="p">)</span> <span class="o">&gt;=</span> <span class="nb">len</span><span class="p">(</span><span class="n">weight_list</span><span class="p">),</span> <span class="n">msg</span>
+    <span class="n">start</span> <span class="o">=</span> <span class="n">RANDOM_GENERATOR</span><span class="o">.</span><span class="n">choice</span><span class="p">(</span><span class="n">indices</span><span class="p">,</span> <span class="n">p</span><span class="o">=</span><span class="n">weight_list</span><span class="p">)</span>
+    <span class="n">row</span> <span class="o">=</span> <span class="n">start</span> <span class="o">//</span> <span class="n">max_cols</span>
+    <span class="n">col</span> <span class="o">=</span> <span class="n">start</span> <span class="o">%</span> <span class="n">max_cols</span>
+    <span class="n">stop_1</span> <span class="o">=</span> <span class="n">row</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">([</span><span class="n">sample_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">data_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]])</span>
+    <span class="n">stop_2</span> <span class="o">=</span> <span class="n">col</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">([</span><span class="n">sample_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">data_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]])</span>
+
+    <span class="n">slice_1</span> <span class="o">=</span> <span class="nb">slice</span><span class="p">(</span><span class="n">row</span><span class="p">,</span> <span class="n">stop_1</span><span class="p">)</span>
+    <span class="n">slice_2</span> <span class="o">=</span> <span class="nb">slice</span><span class="p">(</span><span class="n">col</span><span class="p">,</span> <span class="n">stop_2</span><span class="p">)</span>
+
+    <span class="k">return</span> <span class="p">[</span><span class="n">slice_1</span><span class="p">,</span> <span class="n">slice_2</span><span class="p">]</span></div>
+
+
+
+<div class="viewcode-block" id="weighted_time_sampler">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.samplers.utilities.weighted_time_sampler.html#sup3r.preprocessing.samplers.utilities.weighted_time_sampler">[docs]</a>
+<span class="k">def</span> <span class="nf">weighted_time_sampler</span><span class="p">(</span><span class="n">data_shape</span><span class="p">,</span> <span class="n">sample_shape</span><span class="p">,</span> <span class="n">weights</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Returns a temporal slice with selection weighted based on</span>
+<span class="sd">    provided weights used to extract temporal chunk from data</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    data_shape : tuple</span>
+<span class="sd">        (rows, cols, n_steps) Size of full spatiotemporal data grid available</span>
+<span class="sd">        for sampling</span>
+<span class="sd">    shape : tuple</span>
+<span class="sd">        (time_steps) Size of time slice to sample from data</span>
+<span class="sd">    weights : list</span>
+<span class="sd">        List of weights used to specify selection strategy. e.g. If weights</span>
+<span class="sd">        is [0.2, 0.8] then the start of the temporal slice will be selected</span>
+<span class="sd">        from the first half of the temporal extent with 0.8 probability and</span>
+<span class="sd">        0.2 probability for the second half.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    slice : slice</span>
+<span class="sd">        time slice with size shape</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">shape</span> <span class="o">=</span> <span class="n">data_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="k">if</span> <span class="n">data_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">&lt;</span> <span class="n">sample_shape</span> <span class="k">else</span> <span class="n">sample_shape</span>
+    <span class="n">t_indices</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">data_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">-</span> <span class="n">shape</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+    <span class="n">t_chunks</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array_split</span><span class="p">(</span><span class="n">t_indices</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">weights</span><span class="p">))</span>
+
+    <span class="n">weight_list</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">w</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">weights</span><span class="p">):</span>
+        <span class="n">weight_list</span> <span class="o">+=</span> <span class="p">[</span><span class="n">w</span><span class="p">]</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="n">t_chunks</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
+    <span class="n">weight_list</span> <span class="o">/=</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">weight_list</span><span class="p">)</span>
+
+    <span class="n">start</span> <span class="o">=</span> <span class="n">RANDOM_GENERATOR</span><span class="o">.</span><span class="n">choice</span><span class="p">(</span><span class="n">t_indices</span><span class="p">,</span> <span class="n">p</span><span class="o">=</span><span class="n">weight_list</span><span class="p">)</span>
+    <span class="n">stop</span> <span class="o">=</span> <span class="n">start</span> <span class="o">+</span> <span class="n">shape</span>
+
+    <span class="k">return</span> <span class="nb">slice</span><span class="p">(</span><span class="n">start</span><span class="p">,</span> <span class="n">stop</span><span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="uniform_time_sampler">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.samplers.utilities.uniform_time_sampler.html#sup3r.preprocessing.samplers.utilities.uniform_time_sampler">[docs]</a>
+<span class="k">def</span> <span class="nf">uniform_time_sampler</span><span class="p">(</span><span class="n">data_shape</span><span class="p">,</span> <span class="n">sample_shape</span><span class="p">,</span> <span class="n">crop_slice</span><span class="o">=</span><span class="nb">slice</span><span class="p">(</span><span class="kc">None</span><span class="p">)):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Returns temporal slice used to extract temporal chunk from data.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    data_shape : tuple</span>
+<span class="sd">        (rows, cols, n_steps) Size of full spatiotemporal data grid available</span>
+<span class="sd">        for sampling</span>
+<span class="sd">    sample_shape : int</span>
+<span class="sd">        (time_steps) Size of time slice to sample from data grid</span>
+<span class="sd">    crop_slice : slice</span>
+<span class="sd">        Optional slice used to restrict the sampling window.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    slice : slice</span>
+<span class="sd">        time slice with size shape</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">shape</span> <span class="o">=</span> <span class="n">data_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="k">if</span> <span class="n">data_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">&lt;</span> <span class="n">sample_shape</span> <span class="k">else</span> <span class="n">sample_shape</span>
+    <span class="n">indices</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">data_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)[</span><span class="n">crop_slice</span><span class="p">]</span>
+    <span class="n">start</span> <span class="o">=</span> <span class="n">RANDOM_GENERATOR</span><span class="o">.</span><span class="n">integers</span><span class="p">(</span><span class="n">indices</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">indices</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">shape</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+    <span class="n">stop</span> <span class="o">=</span> <span class="n">start</span> <span class="o">+</span> <span class="n">shape</span>
+    <span class="k">return</span> <span class="nb">slice</span><span class="p">(</span><span class="n">start</span><span class="p">,</span> <span class="n">stop</span><span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="daily_time_sampler">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.samplers.utilities.daily_time_sampler.html#sup3r.preprocessing.samplers.utilities.daily_time_sampler">[docs]</a>
+<span class="k">def</span> <span class="nf">daily_time_sampler</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">shape</span><span class="p">,</span> <span class="n">time_index</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Finds a random temporal slice from data starting at midnight</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    data : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        Data array with dimensions</span>
+<span class="sd">        (spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">    shape : int</span>
+<span class="sd">        (time_steps) Size of time slice to sample from data, must be an integer</span>
+<span class="sd">        less than or equal to 24.</span>
+<span class="sd">    time_index : pd.DatetimeIndex</span>
+<span class="sd">        Time index that matches the data axis=2</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    slice : slice</span>
+<span class="sd">        time slice with size shape of data starting at the beginning of the day</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="sa">f</span><span class="s1">&#39;data </span><span class="si">{</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1"> and time index (</span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">time_index</span><span class="p">)</span><span class="si">}</span><span class="s1">) &#39;</span>
+        <span class="s1">&#39;shapes do not match, cannot sample daily data.&#39;</span>
+    <span class="p">)</span>
+    <span class="k">assert</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">==</span> <span class="nb">len</span><span class="p">(</span><span class="n">time_index</span><span class="p">),</span> <span class="n">msg</span>
+
+    <span class="n">ti_short</span> <span class="o">=</span> <span class="n">time_index</span><span class="p">[:</span> <span class="o">-</span><span class="p">(</span><span class="n">shape</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)]</span>
+    <span class="n">midnight_ilocs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span>
+        <span class="p">(</span><span class="n">ti_short</span><span class="o">.</span><span class="n">hour</span> <span class="o">==</span> <span class="mi">0</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">ti_short</span><span class="o">.</span><span class="n">minute</span> <span class="o">==</span> <span class="mi">0</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">ti_short</span><span class="o">.</span><span class="n">second</span> <span class="o">==</span> <span class="mi">0</span><span class="p">)</span>
+    <span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+
+    <span class="k">if</span> <span class="ow">not</span> <span class="nb">any</span><span class="p">(</span><span class="n">midnight_ilocs</span><span class="p">):</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Cannot sample time index of shape </span><span class="si">{}</span><span class="s1"> with requested daily &#39;</span>
+            <span class="s1">&#39;sample shape </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">time_index</span><span class="p">),</span> <span class="n">shape</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+    <span class="n">start</span> <span class="o">=</span> <span class="n">RANDOM_GENERATOR</span><span class="o">.</span><span class="n">integers</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">midnight_ilocs</span><span class="p">))</span>
+    <span class="n">start</span> <span class="o">=</span> <span class="n">midnight_ilocs</span><span class="p">[</span><span class="n">start</span><span class="p">]</span>
+    <span class="n">stop</span> <span class="o">=</span> <span class="n">start</span> <span class="o">+</span> <span class="n">shape</span>
+
+    <span class="k">return</span> <span class="nb">slice</span><span class="p">(</span><span class="n">start</span><span class="p">,</span> <span class="n">stop</span><span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="nsrdb_sub_daily_sampler">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.samplers.utilities.nsrdb_sub_daily_sampler.html#sup3r.preprocessing.samplers.utilities.nsrdb_sub_daily_sampler">[docs]</a>
+<span class="k">def</span> <span class="nf">nsrdb_sub_daily_sampler</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">shape</span><span class="p">,</span> <span class="n">time_index</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Finds a random sample during daylight hours of a day. Nightime is</span>
+<span class="sd">    assumed to be marked as NaN in feature axis == csr_ind in the data input.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    data : Union[Sup3rX, Sup3rDataset]</span>
+<span class="sd">        Dataset object with &#39;clearsky_ratio&#39; accessible as</span>
+<span class="sd">        data[&#39;clearsky_ratio&#39;] (spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">    shape : int</span>
+<span class="sd">        (time_steps) Size of time slice to sample from data, must be an integer</span>
+<span class="sd">        less than or equal to 24.</span>
+<span class="sd">    time_index : pd.DatetimeIndex</span>
+<span class="sd">        Time index corresponding the the time axis of `data`. If None then</span>
+<span class="sd">        data.time_index will be used.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    tslice : slice</span>
+<span class="sd">        time slice with size shape of data starting at the beginning of the day</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">time_index</span> <span class="o">=</span> <span class="n">time_index</span> <span class="k">if</span> <span class="n">time_index</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">data</span><span class="o">.</span><span class="n">time_index</span>
+    <span class="n">tslice</span> <span class="o">=</span> <span class="n">daily_time_sampler</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="mi">24</span><span class="p">,</span> <span class="n">time_index</span><span class="p">)</span>
+    <span class="n">night_mask</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;clearsky_ratio&#39;</span><span class="p">][</span><span class="o">...</span><span class="p">,</span> <span class="n">tslice</span><span class="p">])</span><span class="o">.</span><span class="n">any</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
+
+    <span class="k">if</span> <span class="n">shape</span> <span class="o">&gt;=</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]:</span>
+        <span class="k">return</span> <span class="n">tslice</span>
+
+    <span class="k">if</span> <span class="p">(</span><span class="n">night_mask</span><span class="p">)</span><span class="o">.</span><span class="n">all</span><span class="p">():</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;No daylight data found for tslice </span><span class="si">{</span><span class="n">tslice</span><span class="si">}</span><span class="s1"> &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">time_index</span><span class="p">[</span><span class="n">tslice</span><span class="p">]</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">tslice</span>
+
+    <span class="n">day_ilocs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="o">~</span><span class="n">night_mask</span><span class="p">))[</span><span class="mi">0</span><span class="p">]</span>
+    <span class="n">padding</span> <span class="o">=</span> <span class="n">shape</span> <span class="o">-</span> <span class="nb">len</span><span class="p">(</span><span class="n">day_ilocs</span><span class="p">)</span>
+    <span class="n">half_pad</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">padding</span> <span class="o">/</span> <span class="mi">2</span><span class="p">))</span>
+    <span class="n">new_start</span> <span class="o">=</span> <span class="n">tslice</span><span class="o">.</span><span class="n">start</span> <span class="o">+</span> <span class="n">day_ilocs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">half_pad</span>
+    <span class="n">new_end</span> <span class="o">=</span> <span class="n">new_start</span> <span class="o">+</span> <span class="n">shape</span>
+    <span class="k">return</span> <span class="nb">slice</span><span class="p">(</span><span class="n">new_start</span><span class="p">,</span> <span class="n">new_end</span><span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="nsrdb_reduce_daily_data">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.preprocessing.samplers.utilities.nsrdb_reduce_daily_data.html#sup3r.preprocessing.samplers.utilities.nsrdb_reduce_daily_data">[docs]</a>
+<span class="k">def</span> <span class="nf">nsrdb_reduce_daily_data</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">shape</span><span class="p">,</span> <span class="n">csr_ind</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Takes a 5D array and reduces the axis=3 temporal dim to daylight hours.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    data : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        5D data array, where [..., csr_ind] is assumed to be clearsky ratio</span>
+<span class="sd">        with NaN at night.</span>
+<span class="sd">        (n_obs, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">    shape : int</span>
+<span class="sd">        (time_steps) Size of time slice to sample from data. If this is</span>
+<span class="sd">        greater than data.shape[-2] data won&#39;t be reduced.</span>
+<span class="sd">    csr_ind : int</span>
+<span class="sd">        Index of the feature axis where clearsky ratio is located and NaN&#39;s can</span>
+<span class="sd">        be found at night.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    data : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        Same as input but with axis=3 reduced to dailylight hours with</span>
+<span class="sd">        requested shape.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">night_mask</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">data</span><span class="p">[:,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="n">csr_ind</span><span class="p">])</span><span class="o">.</span><span class="n">any</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">))</span>
+
+    <span class="k">if</span> <span class="n">shape</span> <span class="o">&gt;=</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">3</span><span class="p">]:</span>
+        <span class="k">return</span> <span class="n">data</span>
+
+    <span class="k">if</span> <span class="n">night_mask</span><span class="o">.</span><span class="n">all</span><span class="p">():</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;No daylight data found for data of shape </span><span class="si">{</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">data</span>
+
+    <span class="n">day_ilocs</span> <span class="o">=</span> <span class="n">_compute_chunks_if_dask</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="o">~</span><span class="n">night_mask</span><span class="p">)[</span><span class="mi">0</span><span class="p">])</span>
+    <span class="n">padding</span> <span class="o">=</span> <span class="n">shape</span> <span class="o">-</span> <span class="nb">len</span><span class="p">(</span><span class="n">day_ilocs</span><span class="p">)</span>
+    <span class="n">half_pad</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="n">padding</span> <span class="o">/</span> <span class="mi">2</span><span class="p">))</span>
+    <span class="n">start</span> <span class="o">=</span> <span class="n">day_ilocs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">half_pad</span>
+    <span class="n">tslice</span> <span class="o">=</span> <span class="nb">slice</span><span class="p">(</span><span class="n">start</span><span class="p">,</span> <span class="n">start</span> <span class="o">+</span> <span class="n">shape</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">data</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">tslice</span><span class="p">,</span> <span class="p">:]</span></div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.preprocessing.utilities</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Methods used across container objects.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">pprint</span>
+<span class="kn">from</span> <span class="nn">glob</span> <span class="kn">import</span> <span class="n">glob</span>
+<span class="kn">from</span> <span class="nn">importlib</span> <span class="kn">import</span> <span class="n">import_module</span>
+<span class="kn">from</span> <span class="nn">inspect</span> <span class="kn">import</span> <span class="n">Parameter</span><span class="p">,</span> <span class="n">Signature</span><span class="p">,</span> <span class="n">getfullargspec</span><span class="p">,</span> <span class="n">signature</span>
+<span class="kn">from</span> <span class="nn">pathlib</span> <span class="kn">import</span> <span class="n">Path</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">ClassVar</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Union</span>
+<span class="kn">from</span> <span class="nn">warnings</span> <span class="kn">import</span> <span class="n">warn</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">psutil</span>
+<span class="kn">import</span> <span class="nn">xarray</span> <span class="k">as</span> <span class="nn">xr</span>
+<span class="kn">from</span> <span class="nn">gaps.cli.documentation</span> <span class="kn">import</span> <span class="n">CommandDocumentation</span>
+
+<span class="kn">from</span> <span class="nn">.names</span> <span class="kn">import</span> <span class="n">Dimension</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="lower_names">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.utilities.lower_names.html#sup3r.preprocessing.utilities.lower_names">[docs]</a>
+<span class="k">def</span> <span class="nf">lower_names</span><span class="p">(</span><span class="n">data</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Set all fields / coords / dims to lower case.&quot;&quot;&quot;</span>
+    <span class="n">rename_map</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="n">f</span><span class="p">:</span> <span class="n">f</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span>
+        <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="p">[</span>
+            <span class="o">*</span><span class="nb">list</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">data_vars</span><span class="p">),</span>
+            <span class="o">*</span><span class="nb">list</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">dims</span><span class="p">),</span>
+            <span class="o">*</span><span class="nb">list</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">coords</span><span class="p">),</span>
+        <span class="p">]</span>
+        <span class="k">if</span> <span class="n">f</span> <span class="o">!=</span> <span class="n">f</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span>
+    <span class="p">}</span>
+    <span class="k">return</span> <span class="n">data</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">rename_map</span><span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="get_input_handler_class">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.utilities.get_input_handler_class.html#sup3r.preprocessing.utilities.get_input_handler_class">[docs]</a>
+<span class="k">def</span> <span class="nf">get_input_handler_class</span><span class="p">(</span><span class="n">input_handler_name</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Get the :class:`~sup3r.preprocessing.data_handlers.DataHandler` or</span>
+<span class="sd">    :class:`~sup3r.preprocessing.rasterizers.Rasterizer` object.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    input_handler_name : str</span>
+<span class="sd">        Class to use for input data. Provide a string name to match a class in</span>
+<span class="sd">        `sup3r.preprocessing`. If None this will return</span>
+<span class="sd">        :class:`~sup3r.preprocessing.rasterizers.Rasterizer`, which uses</span>
+<span class="sd">        `LoaderNC` or `LoaderH5` depending on file type. This is a simple</span>
+<span class="sd">        handler object which does not derive new features from raw data.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    HandlerClass : Rasterizer | DataHandler</span>
+<span class="sd">        DataHandler or Rasterizer class from sup3r.preprocessing.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="k">if</span> <span class="n">input_handler_name</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">input_handler_name</span> <span class="o">=</span> <span class="s1">&#39;Rasterizer&#39;</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;&quot;input_handler_name&quot; arg was not provided. Using &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;&quot;</span><span class="si">{</span><span class="n">input_handler_name</span><span class="si">}</span><span class="s1">&quot;. If this is incorrect, please provide &#39;</span>
+            <span class="s1">&#39;input_handler_name=&quot;DataHandlerName&quot;.&#39;</span>
+        <span class="p">)</span>
+
+    <span class="n">HandlerClass</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="nb">getattr</span><span class="p">(</span><span class="n">import_module</span><span class="p">(</span><span class="s1">&#39;sup3r.preprocessing&#39;</span><span class="p">),</span> <span class="n">input_handler_name</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">input_handler_name</span><span class="p">,</span> <span class="nb">str</span><span class="p">)</span>
+        <span class="k">else</span> <span class="kc">None</span>
+    <span class="p">)</span>
+
+    <span class="k">if</span> <span class="n">HandlerClass</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Could not find requested data handler class &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;&quot;</span><span class="si">{</span><span class="n">input_handler_name</span><span class="si">}</span><span class="s1">&quot; in sup3r.preprocessing.&#39;</span>
+        <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="k">raise</span> <span class="ne">KeyError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">HandlerClass</span></div>
+
+
+
+<span class="k">def</span> <span class="nf">_mem_check</span><span class="p">():</span>
+    <span class="n">mem</span> <span class="o">=</span> <span class="n">psutil</span><span class="o">.</span><span class="n">virtual_memory</span><span class="p">()</span>
+    <span class="k">return</span> <span class="p">(</span>
+        <span class="sa">f</span><span class="s1">&#39;Memory usage is </span><span class="si">{</span><span class="n">mem</span><span class="o">.</span><span class="n">used</span><span class="w"> </span><span class="o">/</span><span class="w"> </span><span class="mf">1e9</span><span class="si">:</span><span class="s1">.3f</span><span class="si">}</span><span class="s1"> GB out of &#39;</span>
+        <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">mem</span><span class="o">.</span><span class="n">total</span><span class="w"> </span><span class="o">/</span><span class="w"> </span><span class="mf">1e9</span><span class="si">:</span><span class="s1">.3f</span><span class="si">}</span><span class="s1"> GB&#39;</span>
+    <span class="p">)</span>
+
+
+<div class="viewcode-block" id="log_args">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.utilities.log_args.html#sup3r.preprocessing.utilities.log_args">[docs]</a>
+<span class="k">def</span> <span class="nf">log_args</span><span class="p">(</span><span class="n">func</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Decorator to log annotations and args. This can be used to wrap __init__</span>
+<span class="sd">    methods so we need to pass through the signature and docs&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="nf">_get_args_dict</span><span class="p">(</span><span class="n">thing</span><span class="p">,</span> <span class="n">fun</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get args dict from given object and object method.&quot;&quot;&quot;</span>
+
+        <span class="n">ann_dict</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="k">if</span> <span class="s1">&#39;__annotations__&#39;</span> <span class="ow">in</span> <span class="nb">dir</span><span class="p">(</span><span class="n">thing</span><span class="p">):</span>
+            <span class="n">ann_dict</span> <span class="o">=</span> <span class="p">{</span>
+                <span class="n">name</span><span class="p">:</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">thing</span><span class="p">,</span> <span class="n">name</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">name</span><span class="p">,</span> <span class="n">val</span> <span class="ow">in</span> <span class="n">thing</span><span class="o">.</span><span class="vm">__annotations__</span><span class="o">.</span><span class="n">items</span><span class="p">()</span>
+                <span class="k">if</span> <span class="n">val</span> <span class="ow">is</span> <span class="ow">not</span> <span class="n">ClassVar</span>
+            <span class="p">}</span>
+        <span class="n">arg_spec</span> <span class="o">=</span> <span class="n">getfullargspec</span><span class="p">(</span><span class="n">fun</span><span class="p">)</span>
+        <span class="n">args</span> <span class="o">=</span> <span class="n">args</span> <span class="ow">or</span> <span class="p">[]</span>
+        <span class="n">names</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">arg_spec</span><span class="o">.</span><span class="n">args</span> <span class="k">if</span> <span class="s1">&#39;self&#39;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">arg_spec</span><span class="o">.</span><span class="n">args</span> <span class="k">else</span> <span class="n">arg_spec</span><span class="o">.</span><span class="n">args</span><span class="p">[</span><span class="mi">1</span><span class="p">:]</span>
+        <span class="p">)</span>
+        <span class="n">names</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;args&#39;</span><span class="p">,</span> <span class="o">*</span><span class="n">names</span><span class="p">]</span> <span class="k">if</span> <span class="n">arg_spec</span><span class="o">.</span><span class="n">varargs</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">names</span>
+        <span class="n">vals</span> <span class="o">=</span> <span class="p">[</span><span class="kc">None</span><span class="p">]</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="n">names</span><span class="p">)</span>
+        <span class="n">defaults</span> <span class="o">=</span> <span class="n">arg_spec</span><span class="o">.</span><span class="n">defaults</span> <span class="ow">or</span> <span class="p">[]</span>
+        <span class="n">vals</span><span class="p">[</span><span class="o">-</span><span class="nb">len</span><span class="p">(</span><span class="n">defaults</span><span class="p">)</span> <span class="p">:]</span> <span class="o">=</span> <span class="n">defaults</span>
+        <span class="n">vals</span><span class="p">[:</span> <span class="nb">len</span><span class="p">(</span><span class="n">args</span><span class="p">)]</span> <span class="o">=</span> <span class="n">args</span>
+        <span class="n">args_dict</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="n">names</span><span class="p">,</span> <span class="n">vals</span><span class="p">))</span>
+        <span class="n">args_dict</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">kwargs</span><span class="p">)</span>
+        <span class="n">args_dict</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">ann_dict</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">args_dict</span>
+
+    <span class="k">def</span> <span class="nf">_log_args</span><span class="p">(</span><span class="n">thing</span><span class="p">,</span> <span class="n">fun</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Log annotated attributes and args.&quot;&quot;&quot;</span>
+
+        <span class="n">args_dict</span> <span class="o">=</span> <span class="n">_get_args_dict</span><span class="p">(</span><span class="n">thing</span><span class="p">,</span> <span class="n">fun</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+        <span class="n">name</span> <span class="o">=</span> <span class="n">thing</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Initialized </span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s1"> with:</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">pprint</span><span class="o">.</span><span class="n">pformat</span><span class="p">(</span><span class="n">args_dict</span><span class="p">,</span><span class="w"> </span><span class="n">indent</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="n">_mem_check</span><span class="p">())</span>
+
+    <span class="k">def</span> <span class="nf">wrapper</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+        <span class="n">_log_args</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">func</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">func</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+    <span class="n">wrapper</span><span class="o">.</span><span class="n">__signature__</span><span class="p">,</span> <span class="n">wrapper</span><span class="o">.</span><span class="vm">__doc__</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="n">signature</span><span class="p">(</span><span class="n">func</span><span class="p">),</span>
+        <span class="nb">getattr</span><span class="p">(</span><span class="n">func</span><span class="p">,</span> <span class="s1">&#39;__doc__&#39;</span><span class="p">,</span> <span class="s1">&#39;&#39;</span><span class="p">),</span>
+    <span class="p">)</span>
+    <span class="k">return</span> <span class="n">wrapper</span></div>
+
+
+
+<div class="viewcode-block" id="get_date_range_kwargs">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.utilities.get_date_range_kwargs.html#sup3r.preprocessing.utilities.get_date_range_kwargs">[docs]</a>
+<span class="k">def</span> <span class="nf">get_date_range_kwargs</span><span class="p">(</span><span class="n">time_index</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Get kwargs for pd.date_range from a DatetimeIndex. This is used to</span>
+<span class="sd">    provide a concise time_index representation which can be passed through</span>
+<span class="sd">    the cli and avoid logging lengthly time indices.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    time_index : pd.DatetimeIndex</span>
+<span class="sd">        Output time index.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    kwargs : dict</span>
+<span class="sd">        Dictionary to pass to pd.date_range(). Can also include kwarg</span>
+<span class="sd">        ``drop_leap``</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">freq</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="p">(</span><span class="n">time_index</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">time_index</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span><span class="o">.</span><span class="n">total_seconds</span><span class="p">()</span><span class="w"> </span><span class="o">/</span><span class="w"> </span><span class="mi">60</span><span class="si">}</span><span class="s1">min&#39;</span>
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">time_index</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span>
+        <span class="k">else</span> <span class="n">pd</span><span class="o">.</span><span class="n">infer_freq</span><span class="p">(</span><span class="n">time_index</span><span class="p">)</span>
+    <span class="p">)</span>
+
+    <span class="n">kwargs</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="s1">&#39;start&#39;</span><span class="p">:</span> <span class="n">time_index</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="s1">&#39;%Y-%m-</span><span class="si">%d</span><span class="s1"> %H:%M:%S&#39;</span><span class="p">),</span>
+        <span class="s1">&#39;end&#39;</span><span class="p">:</span> <span class="n">time_index</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="s1">&#39;%Y-%m-</span><span class="si">%d</span><span class="s1"> %H:%M:%S&#39;</span><span class="p">),</span>
+        <span class="s1">&#39;freq&#39;</span><span class="p">:</span> <span class="n">freq</span><span class="p">,</span>
+    <span class="p">}</span>
+
+    <span class="n">nominal_ti</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">date_range</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+    <span class="n">uneven_freq</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">diff</span><span class="p">(</span><span class="n">time_index</span><span class="p">)))</span> <span class="o">&gt;</span> <span class="mi">1</span>
+
+    <span class="k">if</span> <span class="n">uneven_freq</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">nominal_ti</span><span class="p">)</span> <span class="o">&gt;</span> <span class="nb">len</span><span class="p">(</span><span class="n">time_index</span><span class="p">):</span>
+        <span class="n">kwargs</span><span class="p">[</span><span class="s1">&#39;drop_leap&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="kc">True</span>
+
+    <span class="k">elif</span> <span class="n">uneven_freq</span><span class="p">:</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;Got uneven frequency for time index: </span><span class="si">{</span><span class="n">time_index</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">kwargs</span></div>
+
+
+
+<div class="viewcode-block" id="make_time_index_from_kws">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.utilities.make_time_index_from_kws.html#sup3r.preprocessing.utilities.make_time_index_from_kws">[docs]</a>
+<span class="k">def</span> <span class="nf">make_time_index_from_kws</span><span class="p">(</span><span class="n">date_range_kwargs</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Function to make a pandas DatetimeIndex from the</span>
+<span class="sd">    ``get_date_range_kwargs`` outputs</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    date_range_kwargs : dict</span>
+<span class="sd">        Dictionary to pass to pd.date_range(), typically produced from</span>
+<span class="sd">        ``get_date_range_kwargs()``. Can also include kwarg ``drop_leap``</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    time_index : pd.DatetimeIndex</span>
+<span class="sd">        Output time index.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">drop_leap</span> <span class="o">=</span> <span class="n">date_range_kwargs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">&#39;drop_leap&#39;</span><span class="p">,</span> <span class="kc">False</span><span class="p">)</span>
+    <span class="n">time_index</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">date_range</span><span class="p">(</span><span class="o">**</span><span class="n">date_range_kwargs</span><span class="p">)</span>
+
+    <span class="k">if</span> <span class="n">drop_leap</span><span class="p">:</span>
+        <span class="n">leap_mask</span> <span class="o">=</span> <span class="p">(</span><span class="n">time_index</span><span class="o">.</span><span class="n">month</span> <span class="o">==</span> <span class="mi">2</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">time_index</span><span class="o">.</span><span class="n">day</span> <span class="o">==</span> <span class="mi">29</span><span class="p">)</span>
+        <span class="n">time_index</span> <span class="o">=</span> <span class="n">time_index</span><span class="p">[</span><span class="o">~</span><span class="n">leap_mask</span><span class="p">]</span>
+
+    <span class="k">return</span> <span class="n">time_index</span></div>
+
+
+
+<span class="k">def</span> <span class="nf">_compute_chunks_if_dask</span><span class="p">(</span><span class="n">arr</span><span class="p">):</span>
+    <span class="k">return</span> <span class="p">(</span>
+        <span class="n">arr</span><span class="o">.</span><span class="n">compute_chunk_sizes</span><span class="p">()</span>
+        <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">arr</span><span class="p">,</span> <span class="s1">&#39;compute_chunk_sizes&#39;</span><span class="p">)</span>
+        <span class="k">else</span> <span class="n">arr</span>
+    <span class="p">)</span>
+
+
+<div class="viewcode-block" id="numpy_if_tensor">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.utilities.numpy_if_tensor.html#sup3r.preprocessing.utilities.numpy_if_tensor">[docs]</a>
+<span class="k">def</span> <span class="nf">numpy_if_tensor</span><span class="p">(</span><span class="n">arr</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Cast array to numpy array if it is a tensor.&quot;&quot;&quot;</span>
+    <span class="k">return</span> <span class="n">arr</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span> <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">arr</span><span class="p">,</span> <span class="s1">&#39;numpy&#39;</span><span class="p">)</span> <span class="k">else</span> <span class="n">arr</span></div>
+
+
+
+<div class="viewcode-block" id="compute_if_dask">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.utilities.compute_if_dask.html#sup3r.preprocessing.utilities.compute_if_dask">[docs]</a>
+<span class="k">def</span> <span class="nf">compute_if_dask</span><span class="p">(</span><span class="n">arr</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Apply compute method to input if it consists of a dask array or slice</span>
+<span class="sd">    with dask elements.&quot;&quot;&quot;</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">arr</span><span class="p">,</span> <span class="nb">slice</span><span class="p">):</span>
+        <span class="k">return</span> <span class="nb">slice</span><span class="p">(</span>
+            <span class="n">compute_if_dask</span><span class="p">(</span><span class="n">arr</span><span class="o">.</span><span class="n">start</span><span class="p">),</span>
+            <span class="n">compute_if_dask</span><span class="p">(</span><span class="n">arr</span><span class="o">.</span><span class="n">stop</span><span class="p">),</span>
+            <span class="n">compute_if_dask</span><span class="p">(</span><span class="n">arr</span><span class="o">.</span><span class="n">step</span><span class="p">),</span>
+        <span class="p">)</span>
+    <span class="k">return</span> <span class="n">arr</span><span class="o">.</span><span class="n">compute</span><span class="p">()</span> <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">arr</span><span class="p">,</span> <span class="s1">&#39;compute&#39;</span><span class="p">)</span> <span class="k">else</span> <span class="n">arr</span></div>
+
+
+
+<span class="k">def</span> <span class="nf">_rechunk_if_dask</span><span class="p">(</span><span class="n">arr</span><span class="p">,</span> <span class="n">chunks</span><span class="o">=</span><span class="s1">&#39;auto&#39;</span><span class="p">):</span>
+    <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">arr</span><span class="p">,</span> <span class="s1">&#39;rechunk&#39;</span><span class="p">):</span>
+        <span class="k">return</span> <span class="n">arr</span><span class="o">.</span><span class="n">rechunk</span><span class="p">(</span><span class="n">chunks</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">arr</span>
+
+
+<span class="k">def</span> <span class="nf">_parse_time_slice</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Parses a value and returns a slice. Input can be a list, tuple, None, or</span>
+<span class="sd">    a slice.&quot;&quot;&quot;</span>
+    <span class="k">return</span> <span class="p">(</span>
+        <span class="n">value</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">value</span><span class="p">,</span> <span class="nb">slice</span><span class="p">)</span>
+        <span class="k">else</span> <span class="nb">slice</span><span class="p">(</span><span class="o">*</span><span class="n">value</span><span class="p">)</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">value</span><span class="p">,</span> <span class="p">(</span><span class="nb">tuple</span><span class="p">,</span> <span class="nb">list</span><span class="p">))</span>
+        <span class="k">else</span> <span class="nb">slice</span><span class="p">(</span><span class="kc">None</span><span class="p">)</span>
+    <span class="p">)</span>
+
+
+<div class="viewcode-block" id="expand_paths">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.utilities.expand_paths.html#sup3r.preprocessing.utilities.expand_paths">[docs]</a>
+<span class="k">def</span> <span class="nf">expand_paths</span><span class="p">(</span><span class="n">fps</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Expand path(s)</span>
+
+<span class="sd">    Parameter</span>
+<span class="sd">    ---------</span>
+<span class="sd">    fps : str or pathlib.Path or any Sequence of those</span>
+<span class="sd">        One or multiple paths to file</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    list[str]</span>
+<span class="sd">        A list of expanded unique and sorted paths as str</span>
+
+<span class="sd">    Examples</span>
+<span class="sd">    --------</span>
+<span class="sd">    &gt;&gt;&gt; expand_paths(&quot;myfile.h5&quot;)</span>
+
+<span class="sd">    &gt;&gt;&gt; expand_paths([&quot;myfile.h5&quot;, &quot;*.hdf&quot;])</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">fps</span><span class="p">,</span> <span class="p">(</span><span class="nb">str</span><span class="p">,</span> <span class="n">Path</span><span class="p">)):</span>
+        <span class="n">fps</span> <span class="o">=</span> <span class="p">(</span><span class="n">fps</span><span class="p">,)</span>
+
+    <span class="n">out</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">fps</span><span class="p">:</span>
+        <span class="n">files</span> <span class="o">=</span> <span class="n">glob</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">f</span><span class="p">))</span>
+        <span class="k">assert</span> <span class="nb">any</span><span class="p">(</span><span class="n">files</span><span class="p">),</span> <span class="sa">f</span><span class="s1">&#39;Unable to resolve file path: </span><span class="si">{</span><span class="n">f</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="n">out</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="n">files</span><span class="p">)</span>
+
+    <span class="k">return</span> <span class="nb">sorted</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">out</span><span class="p">))</span></div>
+
+
+
+<div class="viewcode-block" id="get_source_type">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.utilities.get_source_type.html#sup3r.preprocessing.utilities.get_source_type">[docs]</a>
+<span class="k">def</span> <span class="nf">get_source_type</span><span class="p">(</span><span class="n">file_paths</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Get data source type</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    file_paths : list | str</span>
+<span class="sd">        One or more paths to data files, can include a unix-style pat*tern</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    source_type : str</span>
+<span class="sd">        Either &quot;h5&quot; or &quot;nc&quot;</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="k">if</span> <span class="n">file_paths</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="k">return</span> <span class="kc">None</span>
+
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">file_paths</span><span class="p">,</span> <span class="nb">str</span><span class="p">)</span> <span class="ow">and</span> <span class="s1">&#39;*&#39;</span> <span class="ow">in</span> <span class="n">file_paths</span><span class="p">:</span>
+        <span class="n">temp</span> <span class="o">=</span> <span class="n">glob</span><span class="p">(</span><span class="n">file_paths</span><span class="p">)</span>
+        <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">temp</span><span class="p">):</span>
+            <span class="n">file_paths</span> <span class="o">=</span> <span class="n">temp</span>
+
+    <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">file_paths</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
+        <span class="n">file_paths</span> <span class="o">=</span> <span class="p">[</span><span class="n">file_paths</span><span class="p">]</span>
+
+    <span class="n">_</span><span class="p">,</span> <span class="n">source_type</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">splitext</span><span class="p">(</span><span class="n">file_paths</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+
+    <span class="k">if</span> <span class="n">source_type</span> <span class="ow">in</span> <span class="p">(</span><span class="s1">&#39;.h5&#39;</span><span class="p">,</span> <span class="s1">&#39;.hdf&#39;</span><span class="p">):</span>
+        <span class="k">return</span> <span class="s1">&#39;h5&#39;</span>
+    <span class="k">if</span> <span class="n">source_type</span> <span class="ow">in</span> <span class="p">(</span><span class="s1">&#39;.nc&#39;</span><span class="p">,):</span>
+        <span class="k">return</span> <span class="s1">&#39;nc&#39;</span>
+    <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="sa">f</span><span class="s1">&#39;Can only handle HDF or NETCDF files. Received unknown extension &#39;</span>
+        <span class="sa">f</span><span class="s1">&#39;&quot;</span><span class="si">{</span><span class="n">source_type</span><span class="si">}</span><span class="s1">&quot; for files: </span><span class="si">{</span><span class="n">file_paths</span><span class="si">}</span><span class="s1">. We will try to open this &#39;</span>
+        <span class="s1">&#39;with xarray.&#39;</span>
+    <span class="p">)</span>
+    <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+    <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+    <span class="k">return</span> <span class="s1">&#39;nc&#39;</span></div>
+
+
+
+<div class="viewcode-block" id="get_obj_params">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.utilities.get_obj_params.html#sup3r.preprocessing.utilities.get_obj_params">[docs]</a>
+<span class="k">def</span> <span class="nf">get_obj_params</span><span class="p">(</span><span class="n">obj</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Get available signature parameters for obj and obj bases&quot;&quot;&quot;</span>
+    <span class="n">objs</span> <span class="o">=</span> <span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="o">*</span><span class="nb">getattr</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="s1">&#39;_signature_objs&#39;</span><span class="p">,</span> <span class="p">()))</span>
+    <span class="k">return</span> <span class="n">composite_sig</span><span class="p">(</span><span class="n">CommandDocumentation</span><span class="p">(</span><span class="o">*</span><span class="n">objs</span><span class="p">))</span><span class="o">.</span><span class="n">parameters</span><span class="o">.</span><span class="n">values</span><span class="p">()</span></div>
+
+
+
+<div class="viewcode-block" id="get_class_kwargs">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.utilities.get_class_kwargs.html#sup3r.preprocessing.utilities.get_class_kwargs">[docs]</a>
+<span class="k">def</span> <span class="nf">get_class_kwargs</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="n">kwargs</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Get kwargs which match obj signature.&quot;&quot;&quot;</span>
+    <span class="n">param_names</span> <span class="o">=</span> <span class="p">[</span><span class="n">p</span><span class="o">.</span><span class="n">name</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">get_obj_params</span><span class="p">(</span><span class="n">obj</span><span class="p">)]</span>
+    <span class="k">return</span> <span class="p">{</span><span class="n">k</span><span class="p">:</span> <span class="n">v</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">items</span><span class="p">()</span> <span class="k">if</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">param_names</span><span class="p">}</span></div>
+
+
+
+<div class="viewcode-block" id="composite_sig">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.utilities.composite_sig.html#sup3r.preprocessing.utilities.composite_sig">[docs]</a>
+<span class="k">def</span> <span class="nf">composite_sig</span><span class="p">(</span><span class="n">docs</span><span class="p">:</span> <span class="n">CommandDocumentation</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Get composite signature from command documentation instance.&quot;&quot;&quot;</span>
+    <span class="n">param_names</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="n">p</span><span class="o">.</span><span class="n">name</span> <span class="k">for</span> <span class="n">sig</span> <span class="ow">in</span> <span class="n">docs</span><span class="o">.</span><span class="n">signatures</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">sig</span><span class="o">.</span><span class="n">parameters</span><span class="o">.</span><span class="n">values</span><span class="p">()</span>
+    <span class="p">}</span>
+    <span class="n">config</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="n">k</span><span class="p">:</span> <span class="n">v</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">docs</span><span class="o">.</span><span class="n">template_config</span><span class="o">.</span><span class="n">items</span><span class="p">()</span> <span class="k">if</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">param_names</span>
+    <span class="p">}</span>
+    <span class="n">has_kwargs</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">&#39;kwargs&#39;</span><span class="p">,</span> <span class="kc">False</span><span class="p">)</span>
+    <span class="n">kw_only</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="n">pos_or_kw</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">config</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+        <span class="k">if</span> <span class="n">v</span> <span class="o">!=</span> <span class="n">docs</span><span class="o">.</span><span class="n">REQUIRED_TAG</span><span class="p">:</span>
+            <span class="n">kw_only</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">Parameter</span><span class="p">(</span><span class="n">k</span><span class="p">,</span> <span class="n">Parameter</span><span class="o">.</span><span class="n">KEYWORD_ONLY</span><span class="p">,</span> <span class="n">default</span><span class="o">=</span><span class="n">v</span><span class="p">))</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">pos_or_kw</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">Parameter</span><span class="p">(</span><span class="n">k</span><span class="p">,</span> <span class="n">Parameter</span><span class="o">.</span><span class="n">POSITIONAL_OR_KEYWORD</span><span class="p">))</span>
+
+    <span class="n">params</span> <span class="o">=</span> <span class="n">pos_or_kw</span> <span class="o">+</span> <span class="n">kw_only</span>
+    <span class="k">if</span> <span class="n">has_kwargs</span><span class="p">:</span>
+        <span class="n">params</span> <span class="o">+=</span> <span class="p">[</span><span class="n">Parameter</span><span class="p">(</span><span class="s1">&#39;kwargs&#39;</span><span class="p">,</span> <span class="n">Parameter</span><span class="o">.</span><span class="n">VAR_KEYWORD</span><span class="p">)]</span>
+    <span class="k">return</span> <span class="n">Signature</span><span class="p">(</span><span class="n">parameters</span><span class="o">=</span><span class="n">params</span><span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="composite_info">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.utilities.composite_info.html#sup3r.preprocessing.utilities.composite_info">[docs]</a>
+<span class="k">def</span> <span class="nf">composite_info</span><span class="p">(</span><span class="n">objs</span><span class="p">,</span> <span class="n">skip_params</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Get composite signature and doc string for given set of objects.&quot;&quot;&quot;</span>
+    <span class="n">objs</span> <span class="o">=</span> <span class="n">objs</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">objs</span><span class="p">,</span> <span class="p">(</span><span class="nb">tuple</span><span class="p">,</span> <span class="nb">list</span><span class="p">))</span> <span class="k">else</span> <span class="p">[</span><span class="n">objs</span><span class="p">]</span>
+    <span class="n">docs</span> <span class="o">=</span> <span class="n">CommandDocumentation</span><span class="p">(</span><span class="o">*</span><span class="n">objs</span><span class="p">,</span> <span class="n">skip_params</span><span class="o">=</span><span class="n">skip_params</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">composite_sig</span><span class="p">(</span><span class="n">docs</span><span class="p">),</span> <span class="n">docs</span><span class="o">.</span><span class="n">parameter_help</span></div>
+
+
+
+<div class="viewcode-block" id="check_signatures">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.utilities.check_signatures.html#sup3r.preprocessing.utilities.check_signatures">[docs]</a>
+<span class="k">def</span> <span class="nf">check_signatures</span><span class="p">(</span><span class="n">objs</span><span class="p">,</span> <span class="n">skip_params</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Make sure signatures of objects can be parsed for required arguments.&quot;&quot;&quot;</span>
+    <span class="n">docs</span> <span class="o">=</span> <span class="n">CommandDocumentation</span><span class="p">(</span><span class="o">*</span><span class="n">objs</span><span class="p">,</span> <span class="n">skip_params</span><span class="o">=</span><span class="n">skip_params</span><span class="p">)</span>
+    <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">sig</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">docs</span><span class="o">.</span><span class="n">signatures</span><span class="p">):</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;The signature of </span><span class="si">{</span><span class="n">objs</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="si">!r}</span><span class="s1"> cannot be resolved sufficiently. &#39;</span>
+            <span class="s1">&#39;We need a detailed signature to determine how to distribute &#39;</span>
+            <span class="s1">&#39;arguments.&#39;</span>
+        <span class="p">)</span>
+
+        <span class="n">params</span> <span class="o">=</span> <span class="n">sig</span><span class="o">.</span><span class="n">parameters</span><span class="o">.</span><span class="n">values</span><span class="p">()</span>
+        <span class="k">assert</span> <span class="p">{</span><span class="n">p</span><span class="o">.</span><span class="n">name</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">params</span><span class="p">}</span> <span class="o">-</span> <span class="p">{</span><span class="s1">&#39;args&#39;</span><span class="p">,</span> <span class="s1">&#39;kwargs&#39;</span><span class="p">},</span> <span class="n">msg</span></div>
+
+
+
+<div class="viewcode-block" id="parse_features">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.utilities.parse_features.html#sup3r.preprocessing.utilities.parse_features">[docs]</a>
+<span class="k">def</span> <span class="nf">parse_features</span><span class="p">(</span><span class="n">features</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">list</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Parse possible inputs for features (list, str, None, &#39;all&#39;). If &#39;all&#39;</span>
+<span class="sd">    this returns all data_vars in data. If None this returns an empty list.</span>
+
+<span class="sd">    Note</span>
+<span class="sd">    ----</span>
+<span class="sd">    Returns a string if input is a string and list otherwise. Need to manually</span>
+<span class="sd">    get [features] if a list is required.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    features : list | str | None</span>
+<span class="sd">        Feature request to parse.</span>
+<span class="sd">    data : T_Dataset</span>
+<span class="sd">        Data containing available features</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">features</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="nb">list</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">data_vars</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">features</span> <span class="ow">in</span> <span class="p">(</span><span class="s1">&#39;all&#39;</span><span class="p">,</span> <span class="p">[</span><span class="s1">&#39;all&#39;</span><span class="p">])</span> <span class="ow">and</span> <span class="n">data</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+        <span class="k">else</span> <span class="n">features</span>
+    <span class="p">)</span>
+    <span class="n">features</span> <span class="o">=</span> <span class="n">lowered</span><span class="p">(</span><span class="n">features</span><span class="p">)</span> <span class="k">if</span> <span class="n">features</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="p">[]</span>
+    <span class="k">return</span> <span class="n">features</span></div>
+
+
+
+<div class="viewcode-block" id="parse_keys">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.utilities.parse_keys.html#sup3r.preprocessing.utilities.parse_keys">[docs]</a>
+<span class="k">def</span> <span class="nf">parse_keys</span><span class="p">(</span>
+    <span class="n">keys</span><span class="p">,</span> <span class="n">default_coords</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">default_dims</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">default_features</span><span class="o">=</span><span class="kc">None</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Return set of features and slices for all dimensions contained in</span>
+<span class="sd">    dataset that can be passed to isel and transposed to standard dimension</span>
+<span class="sd">    order. If keys is empty then we just want to return the coordinate</span>
+<span class="sd">    data, so features will be set to just the coordinate names.&quot;&quot;&quot;</span>
+
+    <span class="n">keys</span> <span class="o">=</span> <span class="n">keys</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">keys</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">)</span> <span class="k">else</span> <span class="p">(</span><span class="n">keys</span><span class="p">,)</span>
+    <span class="n">has_feats</span> <span class="o">=</span> <span class="n">is_type_of</span><span class="p">(</span><span class="n">keys</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="nb">str</span><span class="p">)</span>
+
+    <span class="c1"># return just coords if an empty feature set is requested</span>
+    <span class="n">just_coords</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="nb">isinstance</span><span class="p">(</span><span class="n">keys</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="p">(</span><span class="nb">tuple</span><span class="p">,</span> <span class="nb">list</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">))</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">keys</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span> <span class="o">==</span> <span class="mi">0</span>
+    <span class="p">)</span>
+
+    <span class="k">if</span> <span class="n">just_coords</span><span class="p">:</span>
+        <span class="n">features</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">default_coords</span><span class="p">)</span>
+    <span class="k">elif</span> <span class="n">has_feats</span><span class="p">:</span>
+        <span class="n">features</span> <span class="o">=</span> <span class="n">lowered</span><span class="p">(</span><span class="n">keys</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span> <span class="k">if</span> <span class="n">keys</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">!=</span> <span class="s1">&#39;all&#39;</span> <span class="k">else</span> <span class="n">default_features</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">features</span> <span class="o">=</span> <span class="p">[]</span>
+
+    <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">features</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+        <span class="n">dim_keys</span> <span class="o">=</span> <span class="p">()</span> <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">keys</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span> <span class="k">else</span> <span class="n">keys</span><span class="p">[</span><span class="mi">1</span><span class="p">:]</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">dim_keys</span> <span class="o">=</span> <span class="n">keys</span>
+
+    <span class="n">dim_keys</span> <span class="o">=</span> <span class="n">parse_ellipsis</span><span class="p">(</span><span class="n">dim_keys</span><span class="p">,</span> <span class="n">dim_num</span><span class="o">=</span><span class="nb">len</span><span class="p">(</span><span class="n">default_dims</span><span class="p">))</span>
+    <span class="n">ordd</span> <span class="o">=</span> <span class="n">ordered_dims</span><span class="p">(</span><span class="n">default_dims</span><span class="p">)</span>
+
+    <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">dim_keys</span><span class="p">)</span> <span class="o">&gt;</span> <span class="nb">len</span><span class="p">(</span><span class="n">default_dims</span><span class="p">):</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Received keys = </span><span class="si">%s</span><span class="s1"> which are incompatible with the &#39;</span>
+            <span class="s1">&#39;dimensions = </span><span class="si">%s</span><span class="s1">. If trying to access features by integer &#39;</span>
+            <span class="s1">&#39;index instead use feature names.&#39;</span>
+        <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">,</span> <span class="n">keys</span><span class="p">,</span> <span class="n">ordd</span><span class="p">)</span>
+        <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span> <span class="o">%</span> <span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">keys</span><span class="p">),</span> <span class="n">ordd</span><span class="p">))</span>
+
+    <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">features</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">dim_keys</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Received keys = </span><span class="si">%s</span><span class="s1"> which includes both features and &#39;</span>
+            <span class="s1">&#39;dimension indexing. The correct access pattern is &#39;</span>
+            <span class="s1">&#39;ds[features][indices]&#39;</span>
+        <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">,</span> <span class="n">keys</span><span class="p">)</span>
+        <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span> <span class="o">%</span> <span class="nb">str</span><span class="p">(</span><span class="n">keys</span><span class="p">))</span>
+
+    <span class="k">return</span> <span class="n">features</span><span class="p">,</span> <span class="nb">dict</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="n">ordd</span><span class="p">,</span> <span class="n">dim_keys</span><span class="p">))</span></div>
+
+
+
+<div class="viewcode-block" id="parse_to_list">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.utilities.parse_to_list.html#sup3r.preprocessing.utilities.parse_to_list">[docs]</a>
+<span class="k">def</span> <span class="nf">parse_to_list</span><span class="p">(</span><span class="n">features</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Parse features and return as a list, even if features is a string.&quot;&quot;&quot;</span>
+    <span class="n">features</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span>
+            <span class="nb">list</span><span class="p">(</span><span class="n">features</span><span class="p">)</span>
+            <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">features</span><span class="p">,</span> <span class="p">(</span><span class="nb">set</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">))</span>
+            <span class="k">else</span> <span class="n">features</span>
+            <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">features</span><span class="p">,</span> <span class="nb">list</span><span class="p">)</span>
+            <span class="k">else</span> <span class="p">[</span><span class="n">features</span><span class="p">]</span>
+        <span class="p">)</span>
+        <span class="o">.</span><span class="n">flatten</span><span class="p">()</span>
+        <span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
+    <span class="p">)</span>
+    <span class="k">return</span> <span class="n">parse_features</span><span class="p">(</span><span class="n">features</span><span class="o">=</span><span class="n">features</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="parse_ellipsis">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.utilities.parse_ellipsis.html#sup3r.preprocessing.utilities.parse_ellipsis">[docs]</a>
+<span class="k">def</span> <span class="nf">parse_ellipsis</span><span class="p">(</span><span class="n">vals</span><span class="p">,</span> <span class="n">dim_num</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">    Replace ellipsis with N slices where N is dim_num - len(vals) + 1</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    vals : list | tuple</span>
+<span class="sd">        Entries that will be used to index an array with dim_num dimensions.</span>
+<span class="sd">    dim_num : int</span>
+<span class="sd">        Number of dimensions of array that will be indexed with given vals.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">new_vals</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="k">for</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">vals</span><span class="p">:</span>
+        <span class="k">if</span> <span class="n">v</span> <span class="ow">is</span> <span class="bp">Ellipsis</span><span class="p">:</span>
+            <span class="n">needed</span> <span class="o">=</span> <span class="n">dim_num</span> <span class="o">-</span> <span class="nb">len</span><span class="p">(</span><span class="n">vals</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span>
+            <span class="n">new_vals</span><span class="o">.</span><span class="n">extend</span><span class="p">([</span><span class="nb">slice</span><span class="p">(</span><span class="kc">None</span><span class="p">)]</span> <span class="o">*</span> <span class="n">needed</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">new_vals</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">v</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">new_vals</span></div>
+
+
+
+<div class="viewcode-block" id="contains_ellipsis">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.utilities.contains_ellipsis.html#sup3r.preprocessing.utilities.contains_ellipsis">[docs]</a>
+<span class="k">def</span> <span class="nf">contains_ellipsis</span><span class="p">(</span><span class="n">vals</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Check if vals contain an ellipse. This is used to correctly parse keys</span>
+<span class="sd">    for ``Sup3rX.__getitem__``&quot;&quot;&quot;</span>
+    <span class="k">return</span> <span class="n">vals</span> <span class="ow">is</span> <span class="bp">Ellipsis</span> <span class="ow">or</span> <span class="p">(</span>
+        <span class="nb">isinstance</span><span class="p">(</span><span class="n">vals</span><span class="p">,</span> <span class="p">(</span><span class="nb">tuple</span><span class="p">,</span> <span class="nb">list</span><span class="p">))</span> <span class="ow">and</span> <span class="nb">any</span><span class="p">(</span><span class="n">v</span> <span class="ow">is</span> <span class="bp">Ellipsis</span> <span class="k">for</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">vals</span><span class="p">)</span>
+    <span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="is_type_of">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.utilities.is_type_of.html#sup3r.preprocessing.utilities.is_type_of">[docs]</a>
+<span class="k">def</span> <span class="nf">is_type_of</span><span class="p">(</span><span class="n">vals</span><span class="p">,</span> <span class="n">vtype</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Check if vals is an instance of type or group of that type.&quot;&quot;&quot;</span>
+    <span class="k">return</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">vals</span><span class="p">,</span> <span class="n">vtype</span><span class="p">)</span> <span class="ow">or</span> <span class="p">(</span>
+        <span class="nb">isinstance</span><span class="p">(</span><span class="n">vals</span><span class="p">,</span> <span class="p">(</span><span class="nb">set</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">,</span> <span class="nb">list</span><span class="p">))</span>
+        <span class="ow">and</span> <span class="nb">all</span><span class="p">(</span><span class="nb">isinstance</span><span class="p">(</span><span class="n">v</span><span class="p">,</span> <span class="n">vtype</span><span class="p">)</span> <span class="k">for</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">vals</span><span class="p">)</span>
+    <span class="p">)</span></div>
+
+
+
+<span class="k">def</span> <span class="nf">_get_strings</span><span class="p">(</span><span class="n">vals</span><span class="p">):</span>
+    <span class="n">vals</span> <span class="o">=</span> <span class="p">[</span><span class="n">vals</span><span class="p">]</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">vals</span><span class="p">,</span> <span class="nb">str</span><span class="p">)</span> <span class="k">else</span> <span class="n">vals</span>
+    <span class="k">return</span> <span class="p">[</span><span class="n">v</span> <span class="k">for</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">vals</span> <span class="k">if</span> <span class="n">is_type_of</span><span class="p">(</span><span class="n">v</span><span class="p">,</span> <span class="nb">str</span><span class="p">)]</span>
+
+
+<span class="k">def</span> <span class="nf">_lowered</span><span class="p">(</span><span class="n">features</span><span class="p">):</span>
+    <span class="k">return</span> <span class="p">(</span>
+        <span class="n">features</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">features</span><span class="p">,</span> <span class="nb">str</span><span class="p">)</span>
+        <span class="k">else</span> <span class="p">[</span><span class="n">f</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">f</span><span class="p">,</span> <span class="nb">str</span><span class="p">)</span> <span class="k">else</span> <span class="n">f</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">features</span><span class="p">]</span>
+    <span class="p">)</span>
+
+
+<div class="viewcode-block" id="lowered">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.utilities.lowered.html#sup3r.preprocessing.utilities.lowered">[docs]</a>
+<span class="k">def</span> <span class="nf">lowered</span><span class="p">(</span><span class="n">features</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Return a lower case version of the given str or list of strings. Used to</span>
+<span class="sd">    standardize storage and lookup of features.&quot;&quot;&quot;</span>
+
+    <span class="n">feats</span> <span class="o">=</span> <span class="n">_lowered</span><span class="p">(</span><span class="n">features</span><span class="p">)</span>
+    <span class="k">if</span> <span class="n">_get_strings</span><span class="p">(</span><span class="n">features</span><span class="p">)</span> <span class="o">!=</span> <span class="n">_get_strings</span><span class="p">(</span><span class="n">feats</span><span class="p">):</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Received some upper case features: </span><span class="si">{</span><span class="n">_get_strings</span><span class="p">(</span><span class="n">features</span><span class="p">)</span><span class="si">}</span><span class="s1">. &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;Using </span><span class="si">{</span><span class="n">_get_strings</span><span class="p">(</span><span class="n">feats</span><span class="p">)</span><span class="si">}</span><span class="s1"> instead.&#39;</span>
+        <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">feats</span></div>
+
+
+
+<div class="viewcode-block" id="ordered_dims">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.utilities.ordered_dims.html#sup3r.preprocessing.utilities.ordered_dims">[docs]</a>
+<span class="k">def</span> <span class="nf">ordered_dims</span><span class="p">(</span><span class="n">dims</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Return the order of dims that follows the ordering of Dimension.order()</span>
+<span class="sd">    for the common dim names. e.g dims = (&#39;time&#39;, &#39;south_north&#39;, &#39;dummy&#39;,</span>
+<span class="sd">    &#39;west_east&#39;) will return (&#39;south_north&#39;, &#39;west_east&#39;, &#39;time&#39;,</span>
+<span class="sd">    &#39;dummy&#39;).&quot;&quot;&quot;</span>
+    <span class="n">standard</span> <span class="o">=</span> <span class="p">[</span><span class="n">dim</span> <span class="k">for</span> <span class="n">dim</span> <span class="ow">in</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">order</span><span class="p">()</span> <span class="k">if</span> <span class="n">dim</span> <span class="ow">in</span> <span class="n">dims</span><span class="p">]</span>
+    <span class="n">non_standard</span> <span class="o">=</span> <span class="p">[</span><span class="n">dim</span> <span class="k">for</span> <span class="n">dim</span> <span class="ow">in</span> <span class="n">dims</span> <span class="k">if</span> <span class="n">dim</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">standard</span><span class="p">]</span>
+    <span class="k">if</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">VARIABLE</span> <span class="ow">in</span> <span class="n">standard</span><span class="p">:</span>
+        <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">standard</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">non_standard</span> <span class="o">+</span> <span class="n">standard</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">:])</span>
+    <span class="k">return</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">standard</span> <span class="o">+</span> <span class="n">non_standard</span><span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="ordered_array">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.utilities.ordered_array.html#sup3r.preprocessing.utilities.ordered_array">[docs]</a>
+<span class="k">def</span> <span class="nf">ordered_array</span><span class="p">(</span><span class="n">data</span><span class="p">:</span> <span class="n">xr</span><span class="o">.</span><span class="n">DataArray</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Transpose arrays so they have a (space, time, ...) or (space, time,</span>
+<span class="sd">    ..., feature) ordering.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    data : xr.DataArray</span>
+<span class="sd">        xr.DataArray with `.dims` attribute listing all contained dimensions</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="k">return</span> <span class="n">data</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="o">*</span><span class="n">ordered_dims</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">dims</span><span class="p">))</span></div>
+
+
+
+<div class="viewcode-block" id="dims_array_tuple">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.preprocessing.utilities.dims_array_tuple.html#sup3r.preprocessing.utilities.dims_array_tuple">[docs]</a>
+<span class="k">def</span> <span class="nf">dims_array_tuple</span><span class="p">(</span><span class="n">arr</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Return a tuple of (dims, array) with dims equal to the ordered slice</span>
+<span class="sd">    of Dimension.order() with the same len as arr.shape. This is used to set</span>
+<span class="sd">    xr.Dataset entries. e.g. dset[var] = (dims, array)&quot;&quot;&quot;</span>
+    <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">arr</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">1</span><span class="p">:</span>
+        <span class="n">arr</span> <span class="o">=</span> <span class="p">(</span><span class="n">Dimension</span><span class="o">.</span><span class="n">order</span><span class="p">()[</span><span class="mi">1</span> <span class="p">:</span> <span class="nb">len</span><span class="p">(</span><span class="n">arr</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span><span class="p">],</span> <span class="n">arr</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">arr</span></div>
+
+</pre></div>
+
+                </article>
+              
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+
+<!DOCTYPE html>
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+
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+    <meta charset="utf-8" />
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+    <h1></h1>
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+  <h1>Source code for sup3r.qa.qa</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;sup3r QA module.</span>
+
+<span class="sd">TODO: Good initial refactor but can do more cleaning here. Should use Loaders</span>
+<span class="sd">and Sup3rX.unflatten() method (for H5) to make things more agnostic to dim</span>
+<span class="sd">ordering.</span>
+<span class="sd">&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">from</span> <span class="nn">rex</span> <span class="kn">import</span> <span class="n">Resource</span>
+<span class="kn">from</span> <span class="nn">rex.utilities.fun_utils</span> <span class="kn">import</span> <span class="n">get_fun_call_str</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.bias.utilities</span> <span class="kn">import</span> <span class="n">bias_correct_feature</span>
+<span class="kn">from</span> <span class="nn">sup3r.postprocessing</span> <span class="kn">import</span> <span class="n">OUTPUT_ATTRS</span><span class="p">,</span> <span class="n">RexOutputs</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.derivers</span> <span class="kn">import</span> <span class="n">Deriver</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.derivers.utilities</span> <span class="kn">import</span> <span class="n">parse_feature</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">get_input_handler_class</span><span class="p">,</span>
+    <span class="n">get_source_type</span><span class="p">,</span>
+    <span class="n">lowered</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities</span> <span class="kn">import</span> <span class="n">ModuleName</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.cli</span> <span class="kn">import</span> <span class="n">BaseCLI</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.utilities</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">spatial_coarsening</span><span class="p">,</span>
+    <span class="n">temporal_coarsening</span><span class="p">,</span>
+    <span class="n">xr_open_mfdataset</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="Sup3rQa">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.qa.qa.Sup3rQa.html#sup3r.qa.qa.Sup3rQa">[docs]</a>
+<span class="k">class</span> <span class="nc">Sup3rQa</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Class for doing QA on sup3r forward pass outputs.</span>
+
+<span class="sd">    Note</span>
+<span class="sd">    ----</span>
+<span class="sd">    This only works if the sup3r forward pass output can be reshaped into a 2D</span>
+<span class="sd">    raster dataset (e.g. no sparsifying of the meta data).</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">source_file_paths</span><span class="p">,</span>
+        <span class="n">out_file_path</span><span class="p">,</span>
+        <span class="n">s_enhance</span><span class="p">,</span>
+        <span class="n">t_enhance</span><span class="p">,</span>
+        <span class="n">temporal_coarsening_method</span><span class="p">,</span>
+        <span class="n">features</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">output_names</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">input_handler_name</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">input_handler_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">qa_fp</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">bias_correct_method</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">bias_correct_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">save_sources</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        source_file_paths : list | str</span>
+<span class="sd">            A list of low-resolution source files to extract raster data from.</span>
+<span class="sd">            Each file must have the same number of timesteps. Can also pass a</span>
+<span class="sd">            string with a unix-style file path which will be passed through</span>
+<span class="sd">            glob.glob</span>
+<span class="sd">        out_file_path : str</span>
+<span class="sd">            A single sup3r-resolved output file (either .nc or .h5) with</span>
+<span class="sd">            high-resolution data corresponding to the</span>
+<span class="sd">            source_file_paths * s_enhance * t_enhance</span>
+<span class="sd">        s_enhance : int</span>
+<span class="sd">            Factor by which the Sup3rGan model will enhance the spatial</span>
+<span class="sd">            dimensions of low resolution data</span>
+<span class="sd">        t_enhance : int</span>
+<span class="sd">            Factor by which the Sup3rGan model will enhance temporal dimension</span>
+<span class="sd">            of low resolution data</span>
+<span class="sd">        temporal_coarsening_method : str | list</span>
+<span class="sd">            [subsample, average, total, min, max]</span>
+<span class="sd">            Subsample will take every t_enhance-th time step, average will</span>
+<span class="sd">            average over t_enhance time steps, total will sum over t_enhance</span>
+<span class="sd">            time steps. This can also be a list of method names corresponding</span>
+<span class="sd">            to the list of features.</span>
+<span class="sd">        features : str | list | None</span>
+<span class="sd">            Explicit list of features to validate. Can be a single feature str,</span>
+<span class="sd">            list of string feature names, or None for all features found in the</span>
+<span class="sd">            out_file_path.</span>
+<span class="sd">        output_names : str | list</span>
+<span class="sd">            Optional output file dataset names corresponding to the features</span>
+<span class="sd">            list input</span>
+<span class="sd">        input_handler_name : str | None</span>
+<span class="sd">            data handler class to use for input data. Provide a string name to</span>
+<span class="sd">            match a class in sup3r.preprocessing.data_handlers. If None the</span>
+<span class="sd">            correct handler will be guessed based on file type.</span>
+<span class="sd">        input_handler_kwargs : dict</span>
+<span class="sd">            Keyword arguments for `input_handler`. See :class:`Rasterizer`</span>
+<span class="sd">            class for argument details.</span>
+<span class="sd">        qa_fp : str | None</span>
+<span class="sd">            Optional filepath to output QA file when you call Sup3rQa.run()</span>
+<span class="sd">            (only .h5 is supported)</span>
+<span class="sd">        bias_correct_method : str | None</span>
+<span class="sd">            Optional bias correction function name that can be imported from</span>
+<span class="sd">            the sup3r.bias.bias_transforms module. This will transform the</span>
+<span class="sd">            source data according to some predefined bias correction</span>
+<span class="sd">            transformation along with the bias_correct_kwargs. As the first</span>
+<span class="sd">            argument, this method must receive a generic numpy array of data to</span>
+<span class="sd">            be bias corrected</span>
+<span class="sd">        bias_correct_kwargs : dict | None</span>
+<span class="sd">            Optional namespace of kwargs to provide to bias_correct_method.</span>
+<span class="sd">            If this is provided, it must be a dictionary where each key is a</span>
+<span class="sd">            feature name and each value is a dictionary of kwargs to correct</span>
+<span class="sd">            that feature. You can bias correct only certain input features by</span>
+<span class="sd">            only including those feature names in this dict.</span>
+<span class="sd">        save_sources : bool</span>
+<span class="sd">            Flag to save re-coarsened synthetic data and true low-res data to</span>
+<span class="sd">            qa_fp in addition to the error dataset</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Initializing Sup3rQa and retrieving source data...&#39;</span><span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span> <span class="o">=</span> <span class="n">s_enhance</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span> <span class="o">=</span> <span class="n">t_enhance</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_t_meth</span> <span class="o">=</span> <span class="n">temporal_coarsening_method</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_out_fp</span> <span class="o">=</span> <span class="n">out_file_path</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_features</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">features</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">features</span><span class="p">,</span> <span class="p">(</span><span class="nb">list</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">))</span> <span class="k">else</span> <span class="p">[</span><span class="n">features</span><span class="p">]</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_out_names</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">output_names</span>
+            <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">output_names</span><span class="p">,</span> <span class="p">(</span><span class="nb">list</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">))</span>
+            <span class="k">else</span> <span class="p">[</span><span class="n">output_names</span><span class="p">]</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">qa_fp</span> <span class="o">=</span> <span class="n">qa_fp</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">save_sources</span> <span class="o">=</span> <span class="n">save_sources</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">output_handler</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">xr_open_mfdataset</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_out_fp</span><span class="p">)</span>
+            <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">output_type</span> <span class="o">==</span> <span class="s1">&#39;nc&#39;</span>
+            <span class="k">else</span> <span class="n">Resource</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_out_fp</span><span class="p">)</span>
+        <span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">bias_correct_method</span> <span class="o">=</span> <span class="n">bias_correct_method</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">bias_correct_kwargs</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="p">{}</span>
+            <span class="k">if</span> <span class="n">bias_correct_kwargs</span> <span class="ow">is</span> <span class="kc">None</span>
+            <span class="k">else</span> <span class="p">{</span><span class="n">k</span><span class="o">.</span><span class="n">lower</span><span class="p">():</span> <span class="n">v</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">bias_correct_kwargs</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">input_handler_kwargs</span> <span class="o">=</span> <span class="n">input_handler_kwargs</span> <span class="ow">or</span> <span class="p">{}</span>
+
+        <span class="n">HandlerClass</span> <span class="o">=</span> <span class="n">get_input_handler_class</span><span class="p">(</span><span class="n">input_handler_name</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">bias_correct_input_handler</span><span class="p">(</span>
+            <span class="n">HandlerClass</span><span class="p">(</span><span class="n">source_file_paths</span><span class="p">,</span> <span class="o">**</span><span class="bp">self</span><span class="o">.</span><span class="n">input_handler_kwargs</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">meta</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">meta</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">time_index</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">time_index</span>
+
+    <span class="k">def</span> <span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="k">return</span> <span class="bp">self</span>
+
+    <span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">exc_type</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">,</span> <span class="n">traceback</span><span class="p">):</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
+        <span class="k">if</span> <span class="n">exc_type</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">raise</span>
+
+<div class="viewcode-block" id="Sup3rQa.close">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.qa.qa.Sup3rQa.html#sup3r.qa.qa.Sup3rQa.close">[docs]</a>
+    <span class="k">def</span> <span class="nf">close</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Close any open file handlers&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">output_handler</span><span class="o">.</span><span class="n">close</span><span class="p">()</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">features</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a list of feature names from the output file, excluding meta and</span>
+<span class="sd">        time index datasets</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        list</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="c1"># all lower case</span>
+        <span class="n">ignore</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;meta&#39;</span><span class="p">,</span> <span class="s1">&#39;time_index&#39;</span><span class="p">,</span> <span class="s1">&#39;gids&#39;</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_features</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_features</span> <span class="o">==</span> <span class="p">[</span><span class="kc">None</span><span class="p">]:</span>
+            <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">output_type</span> <span class="o">==</span> <span class="s1">&#39;nc&#39;</span><span class="p">:</span>
+                <span class="n">features</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">output_handler</span><span class="o">.</span><span class="n">data_vars</span><span class="p">)</span>
+            <span class="k">elif</span> <span class="bp">self</span><span class="o">.</span><span class="n">output_type</span> <span class="o">==</span> <span class="s1">&#39;h5&#39;</span><span class="p">:</span>
+                <span class="n">features</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">output_handler</span><span class="o">.</span><span class="n">dsets</span>
+            <span class="n">features</span> <span class="o">=</span> <span class="p">[</span><span class="n">f</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">features</span> <span class="k">if</span> <span class="n">f</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">ignore</span><span class="p">]</span>
+
+        <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_features</span><span class="p">,</span> <span class="p">(</span><span class="nb">list</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">)):</span>
+            <span class="n">features</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_features</span>
+
+        <span class="k">return</span> <span class="n">features</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">output_names</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a list of output dataset names corresponding to the features</span>
+<span class="sd">        list</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_out_names</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">_out_names</span> <span class="o">==</span> <span class="p">[</span><span class="kc">None</span><span class="p">]:</span>
+            <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">features</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_out_names</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">output_type</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get output data type</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        output_type</span>
+<span class="sd">            e.g. &#39;nc&#39; or &#39;h5&#39;</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">ftype</span> <span class="o">=</span> <span class="n">get_source_type</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_out_fp</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">ftype</span> <span class="ow">not</span> <span class="ow">in</span> <span class="p">(</span><span class="s1">&#39;nc&#39;</span><span class="p">,</span> <span class="s1">&#39;h5&#39;</span><span class="p">):</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;Did not recognize output file type: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_out_fp</span><span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">ftype</span>
+
+<div class="viewcode-block" id="Sup3rQa.bias_correct_input_handler">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.qa.qa.Sup3rQa.html#sup3r.qa.qa.Sup3rQa.bias_correct_input_handler">[docs]</a>
+    <span class="k">def</span> <span class="nf">bias_correct_input_handler</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_handler</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Apply bias correction to all source features which have bias</span>
+<span class="sd">        correction data and return :class:`Deriver` instance to use for</span>
+<span class="sd">        derivations of features to match output features.</span>
+
+<span class="sd">        (1) Check if we need to derive any features included in the</span>
+<span class="sd">        bias_correct_kwargs.</span>
+<span class="sd">        (2) Derive these features using the input_handler.derive method, and</span>
+<span class="sd">        update the stored data.</span>
+<span class="sd">        (3) Apply bias correction to all the features in the</span>
+<span class="sd">        bias_correct_kwargs</span>
+<span class="sd">        (4) Derive the features required for validation from the bias corrected</span>
+<span class="sd">        data and update the stored data</span>
+<span class="sd">        (5) Return the updated input_handler, now a :class:`Deriver` object.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">need_derive</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span>
+            <span class="nb">set</span><span class="p">(</span><span class="n">lowered</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_correct_kwargs</span><span class="p">))</span>
+            <span class="o">-</span> <span class="nb">set</span><span class="p">(</span><span class="n">input_handler</span><span class="o">.</span><span class="n">features</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Features </span><span class="si">{</span><span class="n">need_derive</span><span class="si">}</span><span class="s1"> need to be derived prior to bias &#39;</span>
+            <span class="s1">&#39;correction, but the input_handler has no derive method. &#39;</span>
+            <span class="s1">&#39;Request an appropriate input_handler with &#39;</span>
+            <span class="s1">&#39;input_handler_name=DataHandlerName.&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">need_derive</span><span class="p">)</span> <span class="o">==</span> <span class="mi">0</span> <span class="ow">or</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">input_handler</span><span class="p">,</span> <span class="s1">&#39;derive&#39;</span><span class="p">),</span> <span class="n">msg</span>
+        <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">need_derive</span><span class="p">:</span>
+            <span class="n">input_handler</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">f</span><span class="p">]</span> <span class="o">=</span> <span class="n">input_handler</span><span class="o">.</span><span class="n">derive</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
+        <span class="n">bc_feats</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span>
+            <span class="nb">set</span><span class="p">(</span><span class="n">input_handler</span><span class="o">.</span><span class="n">features</span><span class="p">)</span><span class="o">.</span><span class="n">intersection</span><span class="p">(</span>
+                <span class="nb">set</span><span class="p">(</span><span class="n">lowered</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bias_correct_kwargs</span><span class="o">.</span><span class="n">keys</span><span class="p">()))</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+        <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">bc_feats</span><span class="p">:</span>
+            <span class="n">input_handler</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="n">f</span><span class="p">]</span> <span class="o">=</span> <span class="n">bias_correct_feature</span><span class="p">(</span>
+                <span class="n">f</span><span class="p">,</span>
+                <span class="n">input_handler</span><span class="p">,</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">bias_correct_method</span><span class="p">,</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">bias_correct_kwargs</span><span class="p">,</span>
+            <span class="p">)</span>
+
+        <span class="k">return</span> <span class="p">(</span>
+            <span class="n">input_handler</span>
+            <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">features</span> <span class="ow">in</span> <span class="n">input_handler</span>
+            <span class="k">else</span> <span class="n">Deriver</span><span class="p">(</span>
+                <span class="n">input_handler</span><span class="o">.</span><span class="n">data</span><span class="p">,</span>
+                <span class="n">features</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">,</span>
+                <span class="n">FeatureRegistry</span><span class="o">=</span><span class="nb">getattr</span><span class="p">(</span>
+                    <span class="n">input_handler</span><span class="p">,</span> <span class="s1">&#39;FEATURE_REGISTRY&#39;</span><span class="p">,</span> <span class="kc">None</span>
+                <span class="p">),</span>
+            <span class="p">)</span>
+        <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Sup3rQa.get_dset_out">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.qa.qa.Sup3rQa.html#sup3r.qa.qa.Sup3rQa.get_dset_out">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_dset_out</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">name</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get an output dataset from the forward pass output file.</span>
+
+<span class="sd">        TODO: Make this dim order agnostic. If we didnt have the h5 condition</span>
+<span class="sd">        we could just do transpose(&#39;south_north&#39;, &#39;west_east&#39;, &#39;time&#39;)</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        name : str</span>
+<span class="sd">            Name of the output dataset to retrieve. Must be found in the</span>
+<span class="sd">            features property and the forward pass output file.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out : np.ndarray</span>
+<span class="sd">            A copy of the high-resolution output data as a numpy</span>
+<span class="sd">            array of shape (spatial_1, spatial_2, temporal)</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Getting sup3r output dataset &quot;</span><span class="si">{}</span><span class="s1">&quot;&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">name</span><span class="p">))</span>
+        <span class="n">data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">output_handler</span><span class="p">[</span><span class="n">name</span><span class="p">]</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">output_type</span> <span class="o">==</span> <span class="s1">&#39;nc&#39;</span><span class="p">:</span>
+            <span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">values</span>
+        <span class="k">elif</span> <span class="bp">self</span><span class="o">.</span><span class="n">output_type</span> <span class="o">==</span> <span class="s1">&#39;h5&#39;</span><span class="p">:</span>
+            <span class="n">shape</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">time_index</span><span class="p">)</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span><span class="p">,</span>
+                <span class="nb">int</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">),</span>
+                <span class="nb">int</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">),</span>
+            <span class="p">)</span>
+            <span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">shape</span><span class="p">)</span>
+            <span class="c1"># data always needs to be converted from (t, s1, s2) -&gt; (s1, s2, t)</span>
+        <span class="n">data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">axes</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</span>
+
+        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">data</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Sup3rQa.coarsen_data">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.qa.qa.Sup3rQa.html#sup3r.qa.qa.Sup3rQa.coarsen_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">coarsen_data</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">idf</span><span class="p">,</span> <span class="n">feature</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Re-coarsen a high-resolution synthetic output dataset</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        idf : int</span>
+<span class="sd">            Feature index</span>
+<span class="sd">        feature : str</span>
+<span class="sd">            Feature name</span>
+<span class="sd">        data : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            A copy of the high-resolution output data as a numpy</span>
+<span class="sd">            array of shape (spatial_1, spatial_2, temporal)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        data : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            A spatiotemporally coarsened copy of the input dataset, still with</span>
+<span class="sd">            shape (spatial_1, spatial_2, temporal)</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">t_meth</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_t_meth</span>
+            <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_t_meth</span><span class="p">,</span> <span class="nb">str</span><span class="p">)</span>
+            <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_meth</span><span class="p">[</span><span class="n">idf</span><span class="p">]</span>
+        <span class="p">)</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Coarsening feature &quot;</span><span class="si">{</span><span class="n">feature</span><span class="si">}</span><span class="s1">&quot; with </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="si">}</span><span class="s1">x &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;spatial averaging and &quot;</span><span class="si">{</span><span class="n">t_meth</span><span class="si">}</span><span class="s1">&quot; </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span><span class="si">}</span><span class="s1">x &#39;</span>
+            <span class="s1">&#39;temporal averaging&#39;</span>
+        <span class="p">)</span>
+
+        <span class="n">data</span> <span class="o">=</span> <span class="n">spatial_coarsening</span><span class="p">(</span>
+            <span class="n">data</span><span class="p">,</span> <span class="n">s_enhance</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">s_enhance</span><span class="p">,</span> <span class="n">obs_axis</span><span class="o">=</span><span class="kc">False</span>
+        <span class="p">)</span>
+
+        <span class="c1"># t_coarse needs shape to be 5D: (obs, s1, s2, t, f)</span>
+        <span class="n">data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+        <span class="n">data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span>
+        <span class="n">data</span> <span class="o">=</span> <span class="n">temporal_coarsening</span><span class="p">(</span>
+            <span class="n">data</span><span class="p">,</span> <span class="n">t_enhance</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">t_enhance</span><span class="p">,</span> <span class="n">method</span><span class="o">=</span><span class="n">t_meth</span>
+        <span class="p">)</span>
+        <span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">squeeze</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">4</span><span class="p">))</span>
+
+        <span class="k">return</span> <span class="n">data</span></div>
+
+
+<div class="viewcode-block" id="Sup3rQa.get_node_cmd">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.qa.qa.Sup3rQa.html#sup3r.qa.qa.Sup3rQa.get_node_cmd">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">get_node_cmd</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">config</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a CLI call to initialize Sup3rQa and execute the Sup3rQa.run()</span>
+<span class="sd">        method based on an input config</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        config : dict</span>
+<span class="sd">            sup3r QA config with all necessary args and kwargs to</span>
+<span class="sd">            initialize Sup3rQa and execute Sup3rQa.run()</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">import_str</span> <span class="o">=</span> <span class="s1">&#39;import time;</span><span class="se">\n</span><span class="s1">&#39;</span>
+        <span class="n">import_str</span> <span class="o">+=</span> <span class="s1">&#39;from gaps import Status;</span><span class="se">\n</span><span class="s1">&#39;</span>
+        <span class="n">import_str</span> <span class="o">+=</span> <span class="s1">&#39;from rex import init_logger;</span><span class="se">\n</span><span class="s1">&#39;</span>
+        <span class="n">import_str</span> <span class="o">+=</span> <span class="s1">&#39;from sup3r.qa.qa import Sup3rQa&#39;</span>
+
+        <span class="n">qa_init_str</span> <span class="o">=</span> <span class="n">get_fun_call_str</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">config</span><span class="p">)</span>
+
+        <span class="n">log_file</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;log_file&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="n">log_level</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;log_level&#39;</span><span class="p">,</span> <span class="s1">&#39;INFO&#39;</span><span class="p">)</span>
+
+        <span class="n">log_arg_str</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;&quot;sup3r&quot;, log_level=&quot;</span><span class="si">{</span><span class="n">log_level</span><span class="si">}</span><span class="s1">&quot;&#39;</span>
+        <span class="k">if</span> <span class="n">log_file</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">log_arg_str</span> <span class="o">+=</span> <span class="sa">f</span><span class="s1">&#39;, log_file=&quot;</span><span class="si">{</span><span class="n">log_file</span><span class="si">}</span><span class="s1">&quot;&#39;</span>
+
+        <span class="n">cmd</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s2">&quot;python -c &#39;</span><span class="si">{</span><span class="n">import_str</span><span class="si">}</span><span class="s2">;</span><span class="se">\n</span><span class="s2">&quot;</span>
+            <span class="s1">&#39;t0 = time.time();</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;logger = init_logger(</span><span class="si">{</span><span class="n">log_arg_str</span><span class="si">}</span><span class="s1">);</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;qa = </span><span class="si">{</span><span class="n">qa_init_str</span><span class="si">}</span><span class="s1">;</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="s1">&#39;qa.run();</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="s1">&#39;t_elap = time.time() - t0;</span><span class="se">\n</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+
+        <span class="n">pipeline_step</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;pipeline_step&#39;</span><span class="p">)</span> <span class="ow">or</span> <span class="n">ModuleName</span><span class="o">.</span><span class="n">QA</span>
+        <span class="n">cmd</span> <span class="o">=</span> <span class="n">BaseCLI</span><span class="o">.</span><span class="n">add_status_cmd</span><span class="p">(</span><span class="n">config</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="p">,</span> <span class="n">cmd</span><span class="p">)</span>
+        <span class="n">cmd</span> <span class="o">+=</span> <span class="s2">&quot;;&#39;</span><span class="se">\n</span><span class="s2">&quot;</span>
+
+        <span class="k">return</span> <span class="n">cmd</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;</span><span class="se">\\</span><span class="s1">&#39;</span><span class="p">,</span> <span class="s1">&#39;/&#39;</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Sup3rQa.export">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.qa.qa.Sup3rQa.html#sup3r.qa.qa.Sup3rQa.export">[docs]</a>
+    <span class="k">def</span> <span class="nf">export</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">qa_fp</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">dset_name</span><span class="p">,</span> <span class="n">dset_suffix</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Export error dictionary to h5 file.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        qa_fp : str | None</span>
+<span class="sd">            Optional filepath to output QA file (only .h5 is supported)</span>
+<span class="sd">        data : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            An array with shape (space1, space2, time) that represents the</span>
+<span class="sd">            re-coarsened synthetic data minus the source true low-res data, or</span>
+<span class="sd">            another dataset of the same shape to be written to disk</span>
+<span class="sd">        dset_name : str</span>
+<span class="sd">            Base dataset name to save data to</span>
+<span class="sd">        dset_suffix : str</span>
+<span class="sd">            Optional suffix to append to dset_name with an underscore before</span>
+<span class="sd">            saving.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">qa_fp</span><span class="p">):</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Initializing qa output file: &quot;</span><span class="si">{}</span><span class="s1">&quot;&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">qa_fp</span><span class="p">))</span>
+            <span class="k">with</span> <span class="n">RexOutputs</span><span class="p">(</span><span class="n">qa_fp</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;w&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">meta</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">meta</span>
+                <span class="n">f</span><span class="o">.</span><span class="n">time_index</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">time_index</span>
+
+        <span class="n">shape</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">time_index</span><span class="p">),</span>
+            <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="o">.</span><span class="n">meta</span><span class="p">),</span>
+        <span class="p">)</span>
+        <span class="n">attrs</span> <span class="o">=</span> <span class="n">OUTPUT_ATTRS</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">parse_feature</span><span class="p">(</span><span class="n">dset_name</span><span class="p">)</span><span class="o">.</span><span class="n">basename</span><span class="p">,</span> <span class="p">{})</span>
+
+        <span class="c1"># dont scale the re-coarsened data or diffs</span>
+        <span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;scale_factor&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span>
+        <span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;dtype&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;float32&#39;</span>
+
+        <span class="k">if</span> <span class="n">dset_suffix</span><span class="p">:</span>
+            <span class="n">dset_name</span> <span class="o">=</span> <span class="n">dset_name</span> <span class="o">+</span> <span class="s1">&#39;_&#39;</span> <span class="o">+</span> <span class="n">dset_suffix</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Adding dataset &quot;</span><span class="si">{}</span><span class="s1">&quot; to output file.&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">dset_name</span><span class="p">))</span>
+
+        <span class="c1"># transpose and flatten to typical h5 (time, space) dimensions</span>
+        <span class="n">data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">data</span><span class="p">),</span> <span class="n">axes</span><span class="o">=</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">shape</span><span class="p">)</span>
+
+        <span class="n">RexOutputs</span><span class="o">.</span><span class="n">add_dataset</span><span class="p">(</span>
+            <span class="n">qa_fp</span><span class="p">,</span>
+            <span class="n">dset_name</span><span class="p">,</span>
+            <span class="n">data</span><span class="p">,</span>
+            <span class="n">dtype</span><span class="o">=</span><span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;dtype&#39;</span><span class="p">],</span>
+            <span class="n">chunks</span><span class="o">=</span><span class="n">attrs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;chunks&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">),</span>
+            <span class="n">attrs</span><span class="o">=</span><span class="n">attrs</span><span class="p">,</span>
+        <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Sup3rQa.run">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.qa.qa.Sup3rQa.html#sup3r.qa.qa.Sup3rQa.run">[docs]</a>
+    <span class="k">def</span> <span class="nf">run</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Go through all datasets and get the error for the re-coarsened</span>
+<span class="sd">        synthetic minus the true low-res source data.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        errors : dict</span>
+<span class="sd">            Dictionary of errors, where keys are the feature names, and each</span>
+<span class="sd">            value is an array with shape (space1, space2, time) that represents</span>
+<span class="sd">            the re-coarsened synthetic data minus the source true low-res data</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">errors</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="n">ziter</span> <span class="o">=</span> <span class="nb">zip</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">output_names</span><span class="p">)</span>
+        <span class="k">for</span> <span class="n">idf</span><span class="p">,</span> <span class="p">(</span><span class="n">feature</span><span class="p">,</span> <span class="n">dset_out</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">ziter</span><span class="p">):</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="s1">&#39;Running QA on dataset </span><span class="si">{}</span><span class="s1"> of </span><span class="si">{}</span><span class="s1"> for &quot;</span><span class="si">{}</span><span class="s1">&quot;&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="n">idf</span> <span class="o">+</span> <span class="mi">1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">features</span><span class="p">),</span> <span class="n">feature</span>
+                <span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">data_syn</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_dset_out</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span>
+            <span class="n">data_syn</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">coarsen_data</span><span class="p">(</span><span class="n">idf</span><span class="p">,</span> <span class="n">feature</span><span class="p">,</span> <span class="n">data_syn</span><span class="p">)</span>
+            <span class="n">data_true</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_handler</span><span class="p">[</span><span class="n">feature</span><span class="p">][</span><span class="o">...</span><span class="p">]</span>
+
+            <span class="k">if</span> <span class="n">data_syn</span><span class="o">.</span><span class="n">shape</span> <span class="o">!=</span> <span class="n">data_true</span><span class="o">.</span><span class="n">shape</span><span class="p">:</span>
+                <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="s1">&#39;Sup3rQa failed while trying to inspect the &quot;</span><span class="si">{}</span><span class="s1">&quot; feature. &#39;</span>
+                    <span class="s1">&#39;The source low-res data had shape </span><span class="si">{}</span><span class="s1"> while the &#39;</span>
+                    <span class="s1">&#39;re-coarsened synthetic data had shape </span><span class="si">{}</span><span class="s1">.&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                        <span class="n">feature</span><span class="p">,</span> <span class="n">data_true</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">data_syn</span><span class="o">.</span><span class="n">shape</span>
+                    <span class="p">)</span>
+                <span class="p">)</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+            <span class="n">feature_diff</span> <span class="o">=</span> <span class="n">data_syn</span> <span class="o">-</span> <span class="n">data_true</span>
+            <span class="n">errors</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span> <span class="o">=</span> <span class="n">feature_diff</span>
+
+            <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">qa_fp</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">export</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">qa_fp</span><span class="p">,</span> <span class="n">feature_diff</span><span class="p">,</span> <span class="n">dset_out</span><span class="p">,</span> <span class="s1">&#39;error&#39;</span><span class="p">)</span>
+                <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">save_sources</span><span class="p">:</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">export</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">qa_fp</span><span class="p">,</span> <span class="n">data_syn</span><span class="p">,</span> <span class="n">dset_out</span><span class="p">,</span> <span class="s1">&#39;synthetic&#39;</span><span class="p">)</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">export</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">qa_fp</span><span class="p">,</span> <span class="n">data_true</span><span class="p">,</span> <span class="n">dset_out</span><span class="p">,</span> <span class="s1">&#39;true&#39;</span><span class="p">)</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Finished Sup3rQa run method.&#39;</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">errors</span></div>
+</div>
+
+</pre></div>
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+  <h1>Source code for sup3r.qa.utilities</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Utilities used for QA&quot;&quot;&quot;</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">from</span> <span class="nn">scipy.interpolate</span> <span class="kn">import</span> <span class="n">interp1d</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="tke_frequency_spectrum">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.qa.utilities.tke_frequency_spectrum.html#sup3r.qa.utilities.tke_frequency_spectrum">[docs]</a>
+<span class="k">def</span> <span class="nf">tke_frequency_spectrum</span><span class="p">(</span><span class="n">u</span><span class="p">,</span> <span class="n">v</span><span class="p">,</span> <span class="n">f_range</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Kinetic Energy Spectrum. Gives the portion of kinetic energy</span>
+<span class="sd">    associated with each frequency.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    u: ndarray</span>
+<span class="sd">        (lat, lon)</span>
+<span class="sd">        U component of wind</span>
+<span class="sd">    v : ndarray</span>
+<span class="sd">        (lat, lon)</span>
+<span class="sd">        V component of wind</span>
+<span class="sd">    f_range : list | None</span>
+<span class="sd">        List with min and max frequency. When comparing spectra for different</span>
+<span class="sd">        domains this needs to be tailored to the specific domain.  e.g. f =</span>
+<span class="sd">        [1/max_time, ..., 1/min_time] If this is not specified f with be</span>
+<span class="sd">        set to [0, ..., len(y)] where y is the fft output.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    ndarray</span>
+<span class="sd">        1D array of amplitudes corresponding to the portion of total energy</span>
+<span class="sd">        with a given frequency</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">v_f</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">fft</span><span class="o">.</span><span class="n">fftn</span><span class="p">(</span><span class="n">v</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">v</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])))</span>
+    <span class="n">u_f</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">fft</span><span class="o">.</span><span class="n">fftn</span><span class="p">(</span><span class="n">u</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">u</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])))</span>
+    <span class="n">E_f</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">v_f</span><span class="p">)</span><span class="o">**</span><span class="mi">2</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">u_f</span><span class="p">)</span><span class="o">**</span><span class="mi">2</span>
+    <span class="n">E_f</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">E_f</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+    <span class="k">if</span> <span class="n">f_range</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">f</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">E_f</span><span class="p">))</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">f</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="n">f_range</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">f_range</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="nb">len</span><span class="p">(</span><span class="n">E_f</span><span class="p">))</span>
+    <span class="n">E_f</span> <span class="o">=</span> <span class="n">f</span><span class="o">**</span><span class="mi">2</span> <span class="o">*</span> <span class="n">E_f</span>
+    <span class="n">n_steps</span> <span class="o">=</span> <span class="n">E_f</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">//</span> <span class="mi">2</span>
+    <span class="n">E_f_a</span> <span class="o">=</span> <span class="n">E_f</span><span class="p">[:</span><span class="n">n_steps</span><span class="p">]</span>
+    <span class="n">E_f_b</span> <span class="o">=</span> <span class="n">E_f</span><span class="p">[</span><span class="o">-</span><span class="n">n_steps</span><span class="p">:][::</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+    <span class="n">E_f</span> <span class="o">=</span> <span class="n">E_f_a</span> <span class="o">+</span> <span class="n">E_f_b</span>
+    <span class="k">return</span> <span class="n">f</span><span class="p">[:</span><span class="n">n_steps</span><span class="p">],</span> <span class="n">E_f</span></div>
+
+
+
+<div class="viewcode-block" id="frequency_spectrum">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.qa.utilities.frequency_spectrum.html#sup3r.qa.utilities.frequency_spectrum">[docs]</a>
+<span class="k">def</span> <span class="nf">frequency_spectrum</span><span class="p">(</span><span class="n">var</span><span class="p">,</span> <span class="n">f_range</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Frequency Spectrum. Gives the portion of the variable</span>
+<span class="sd">    associated with each frequency.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    var: ndarray</span>
+<span class="sd">        (lat, lon, temporal)</span>
+<span class="sd">    f_range : list | None</span>
+<span class="sd">        List with min and max frequency. When comparing spectra for different</span>
+<span class="sd">        domains this needs to be tailored to the specific domain.  e.g. f =</span>
+<span class="sd">        [1/max_time, ..., 1/min_time] If this is not specified f with be</span>
+<span class="sd">        set to [0, ..., len(y)] where y is the fft output.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    ndarray</span>
+<span class="sd">        Array of frequencies corresponding to energy amplitudes</span>
+<span class="sd">    ndarray</span>
+<span class="sd">        1D array of amplitudes corresponding to the portion of the variable</span>
+<span class="sd">        with a given frequency</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">var_f</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">fft</span><span class="o">.</span><span class="n">fftn</span><span class="p">(</span><span class="n">var</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">var</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])))</span>
+    <span class="n">E_f</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">var_f</span><span class="p">)</span><span class="o">**</span><span class="mi">2</span>
+    <span class="n">E_f</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">E_f</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+    <span class="k">if</span> <span class="n">f_range</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">f</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">E_f</span><span class="p">))</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">f</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="n">f_range</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">f_range</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="nb">len</span><span class="p">(</span><span class="n">E_f</span><span class="p">))</span>
+    <span class="n">E_f</span> <span class="o">=</span> <span class="n">f</span><span class="o">**</span><span class="mi">2</span> <span class="o">*</span> <span class="n">E_f</span>
+    <span class="n">n_steps</span> <span class="o">=</span> <span class="n">E_f</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">//</span> <span class="mi">2</span>
+    <span class="n">E_f_a</span> <span class="o">=</span> <span class="n">E_f</span><span class="p">[:</span><span class="n">n_steps</span><span class="p">]</span>
+    <span class="n">E_f_b</span> <span class="o">=</span> <span class="n">E_f</span><span class="p">[</span><span class="o">-</span><span class="n">n_steps</span><span class="p">:][::</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+    <span class="n">E_f</span> <span class="o">=</span> <span class="n">E_f_a</span> <span class="o">+</span> <span class="n">E_f_b</span>
+    <span class="k">return</span> <span class="n">f</span><span class="p">[:</span><span class="n">n_steps</span><span class="p">],</span> <span class="n">E_f</span></div>
+
+
+
+<div class="viewcode-block" id="tke_wavenumber_spectrum">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.qa.utilities.tke_wavenumber_spectrum.html#sup3r.qa.utilities.tke_wavenumber_spectrum">[docs]</a>
+<span class="k">def</span> <span class="nf">tke_wavenumber_spectrum</span><span class="p">(</span><span class="n">u</span><span class="p">,</span> <span class="n">v</span><span class="p">,</span> <span class="n">x_range</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Turbulent Kinetic Energy Spectrum. Gives the portion of kinetic energy</span>
+<span class="sd">    associated with each wavenumber.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    u: ndarray</span>
+<span class="sd">        (lat, lon)</span>
+<span class="sd">        U component of wind</span>
+<span class="sd">    v : ndarray</span>
+<span class="sd">        (lat, lon)</span>
+<span class="sd">        V component of wind</span>
+<span class="sd">    x_range : list | None</span>
+<span class="sd">        List with min and max wavenumber. When comparing spectra for different</span>
+<span class="sd">        domains this needs to be tailored to the specific domain.  e.g. k =</span>
+<span class="sd">        [1/max_length, ..., 1/min_length] If this is not specified k with be</span>
+<span class="sd">        set to [0, ..., len(y)] where y is the fft output.</span>
+<span class="sd">    axis : int</span>
+<span class="sd">        Axis to average over to get a 1D wind field. If axis=0 this returns</span>
+<span class="sd">        the zonal energy spectrum</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    ndarray</span>
+<span class="sd">        Array of wavenumbers corresponding to energy amplitudes</span>
+<span class="sd">    ndarray</span>
+<span class="sd">        1D array of amplitudes corresponding to the portion of total energy</span>
+<span class="sd">        with a given wavenumber</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">u_k</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">fft</span><span class="o">.</span><span class="n">fftn</span><span class="p">(</span><span class="n">u</span><span class="p">)</span>
+    <span class="n">v_k</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">fft</span><span class="o">.</span><span class="n">fftn</span><span class="p">(</span><span class="n">v</span><span class="p">)</span>
+    <span class="n">E_k</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">v_k</span><span class="p">)</span><span class="o">**</span><span class="mi">2</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">u_k</span><span class="p">)</span><span class="o">**</span><span class="mi">2</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="n">axis</span><span class="p">)</span>
+    <span class="k">if</span> <span class="n">x_range</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">k</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">E_k</span><span class="p">))</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">k</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="n">x_range</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">x_range</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="nb">len</span><span class="p">(</span><span class="n">E_k</span><span class="p">))</span>
+    <span class="n">n_steps</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">k</span><span class="p">)</span> <span class="o">//</span> <span class="mi">2</span>
+    <span class="n">E_k</span> <span class="o">=</span> <span class="n">k</span><span class="o">**</span><span class="mi">2</span> <span class="o">*</span> <span class="n">E_k</span>
+    <span class="n">E_k_a</span> <span class="o">=</span> <span class="n">E_k</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="n">n_steps</span> <span class="o">+</span> <span class="mi">1</span><span class="p">]</span>
+    <span class="n">E_k_b</span> <span class="o">=</span> <span class="n">E_k</span><span class="p">[</span><span class="o">-</span><span class="n">n_steps</span><span class="p">:][::</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+    <span class="n">E_k</span> <span class="o">=</span> <span class="n">E_k_a</span> <span class="o">+</span> <span class="n">E_k_b</span>
+    <span class="k">return</span> <span class="n">k</span><span class="p">[:</span><span class="n">n_steps</span><span class="p">],</span> <span class="n">E_k</span></div>
+
+
+
+<div class="viewcode-block" id="wavenumber_spectrum">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.qa.utilities.wavenumber_spectrum.html#sup3r.qa.utilities.wavenumber_spectrum">[docs]</a>
+<span class="k">def</span> <span class="nf">wavenumber_spectrum</span><span class="p">(</span><span class="n">var</span><span class="p">,</span> <span class="n">x_range</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Wavenumber Spectrum. Gives the portion of the given variable</span>
+<span class="sd">    associated with each wavenumber.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    var: ndarray</span>
+<span class="sd">        (lat, lon)</span>
+<span class="sd">    x_range : list | None</span>
+<span class="sd">        List with min and max wavenumber. When comparing spectra for different</span>
+<span class="sd">        domains this needs to be tailored to the specific domain.  e.g. k =</span>
+<span class="sd">        [1/max_length, ..., 1/min_length] If this is not specified k with be</span>
+<span class="sd">        set to [0, ..., len(y)] where y is the fft output.</span>
+<span class="sd">    axis : int</span>
+<span class="sd">        Axis to average over to get a 1D field. If axis=0 this returns</span>
+<span class="sd">        the zonal spectrum</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    ndarray</span>
+<span class="sd">        Array of wavenumbers corresponding to amplitudes</span>
+<span class="sd">    ndarray</span>
+<span class="sd">        1D array of amplitudes corresponding to the portion of the given</span>
+<span class="sd">        variable with a given wavenumber</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">var_k</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">fft</span><span class="o">.</span><span class="n">fftn</span><span class="p">(</span><span class="n">var</span><span class="p">)</span>
+    <span class="n">E_k</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">var_k</span><span class="p">)</span><span class="o">**</span><span class="mi">2</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="n">axis</span><span class="p">)</span>
+    <span class="k">if</span> <span class="n">x_range</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">k</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">E_k</span><span class="p">))</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">k</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="n">x_range</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">x_range</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="nb">len</span><span class="p">(</span><span class="n">E_k</span><span class="p">))</span>
+    <span class="n">n_steps</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">k</span><span class="p">)</span> <span class="o">//</span> <span class="mi">2</span>
+    <span class="n">E_k</span> <span class="o">=</span> <span class="n">k</span><span class="o">**</span><span class="mi">2</span> <span class="o">*</span> <span class="n">E_k</span>
+    <span class="n">E_k_a</span> <span class="o">=</span> <span class="n">E_k</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="n">n_steps</span> <span class="o">+</span> <span class="mi">1</span><span class="p">]</span>
+    <span class="n">E_k_b</span> <span class="o">=</span> <span class="n">E_k</span><span class="p">[</span><span class="o">-</span><span class="n">n_steps</span><span class="p">:][::</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
+    <span class="n">E_k</span> <span class="o">=</span> <span class="n">E_k_a</span> <span class="o">+</span> <span class="n">E_k_b</span>
+    <span class="k">return</span> <span class="n">k</span><span class="p">[:</span><span class="n">n_steps</span><span class="p">],</span> <span class="n">E_k</span></div>
+
+
+
+<div class="viewcode-block" id="direct_dist">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.qa.utilities.direct_dist.html#sup3r.qa.utilities.direct_dist">[docs]</a>
+<span class="k">def</span> <span class="nf">direct_dist</span><span class="p">(</span><span class="n">var</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="mi">40</span><span class="p">,</span> <span class="nb">range</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">diff_max</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">scale</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+                <span class="n">percentile</span><span class="o">=</span><span class="mf">99.9</span><span class="p">,</span> <span class="n">interpolate</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">period</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Returns the direct distribution for the given variable.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    var: ndarray</span>
+<span class="sd">        (lat, lon, temporal)</span>
+<span class="sd">    bins : int</span>
+<span class="sd">        Number of bins for the direct pdf.</span>
+<span class="sd">    range : tuple | None</span>
+<span class="sd">        Optional min/max range for the direct pdf.</span>
+<span class="sd">    diff_max : float</span>
+<span class="sd">        Max value to keep for given variable</span>
+<span class="sd">    scale : int</span>
+<span class="sd">        Factor to scale the distribution by. This is used so that distributions</span>
+<span class="sd">        from data with different resolutions can be compared. For instance, if</span>
+<span class="sd">        this is calculating a vorticity distribution from data with a spatial</span>
+<span class="sd">        resolution of 4km then the distribution needs to be scaled by 4km to</span>
+<span class="sd">        compare to another scaled vorticity distribution with a different</span>
+<span class="sd">        resolution.</span>
+<span class="sd">    percentile : float</span>
+<span class="sd">        Percentile to use to determine the maximum allowable value in the</span>
+<span class="sd">        distribution. e.g. percentile=99 eliminates values above the 99th</span>
+<span class="sd">        percentile from the histogram.</span>
+<span class="sd">    interpolate : bool</span>
+<span class="sd">        Whether to interpolate over histogram counts. e.g. if a bin has</span>
+<span class="sd">        count = 0 and surrounding bins have count &gt; 0 the bin with count = 0</span>
+<span class="sd">        will have an interpolated value.</span>
+<span class="sd">    period : float | None</span>
+<span class="sd">        If variable is periodic this gives that period. e.g. If the variable</span>
+<span class="sd">        is winddirection the period is 360 degrees and we need to account for</span>
+<span class="sd">        0 and 360 being close.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    ndarray</span>
+<span class="sd">        var at bin centers</span>
+<span class="sd">    ndarray</span>
+<span class="sd">        var value counts</span>
+<span class="sd">    float</span>
+<span class="sd">        Normalization factor</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">if</span> <span class="n">period</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">diffs</span> <span class="o">=</span> <span class="p">(</span><span class="n">var</span> <span class="o">+</span> <span class="n">period</span><span class="p">)</span> <span class="o">%</span> <span class="n">period</span>
+        <span class="n">diffs</span> <span class="o">/=</span> <span class="n">scale</span>
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">diffs</span> <span class="o">=</span> <span class="n">var</span> <span class="o">/</span> <span class="n">scale</span>
+    <span class="n">diff_max</span> <span class="o">=</span> <span class="n">diff_max</span> <span class="ow">or</span> <span class="n">np</span><span class="o">.</span><span class="n">percentile</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">diffs</span><span class="p">),</span> <span class="n">percentile</span><span class="p">)</span>
+    <span class="n">diffs</span> <span class="o">=</span> <span class="n">diffs</span><span class="p">[(</span><span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">diffs</span><span class="p">)</span> <span class="o">&lt;</span> <span class="n">diff_max</span><span class="p">)]</span>
+    <span class="n">norm</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">diffs</span><span class="o">**</span><span class="mi">2</span><span class="p">))</span>
+    <span class="n">counts</span><span class="p">,</span> <span class="n">centers</span> <span class="o">=</span> <span class="n">continuous_dist</span><span class="p">(</span><span class="n">diffs</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="n">bins</span><span class="p">,</span> <span class="nb">range</span><span class="o">=</span><span class="nb">range</span><span class="p">,</span>
+                                      <span class="n">interpolate</span><span class="o">=</span><span class="n">interpolate</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">centers</span><span class="p">,</span> <span class="n">counts</span><span class="p">,</span> <span class="n">norm</span></div>
+
+
+
+<div class="viewcode-block" id="gradient_dist">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.qa.utilities.gradient_dist.html#sup3r.qa.utilities.gradient_dist">[docs]</a>
+<span class="k">def</span> <span class="nf">gradient_dist</span><span class="p">(</span><span class="n">var</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="mi">40</span><span class="p">,</span> <span class="nb">range</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">diff_max</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">scale</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+                  <span class="n">percentile</span><span class="o">=</span><span class="mf">99.9</span><span class="p">,</span> <span class="n">interpolate</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">period</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Returns the gradient distribution for the given variable.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    var: ndarray</span>
+<span class="sd">        (lat, lon, temporal)</span>
+<span class="sd">    bins : int</span>
+<span class="sd">        Number of bins for the gradient pdf.</span>
+<span class="sd">    range : tuple | None</span>
+<span class="sd">        Optional min/max range for the gradient pdf.</span>
+<span class="sd">    diff_max : float</span>
+<span class="sd">        Max value to keep for gradient</span>
+<span class="sd">    scale : int</span>
+<span class="sd">        Factor to scale the distribution by. This is used so that distributions</span>
+<span class="sd">        from data with different resolutions can be compared. For instance, if</span>
+<span class="sd">        this is calculating a velocity gradient distribution from data with a</span>
+<span class="sd">        spatial resolution of 4km then the distribution needs to be scaled by</span>
+<span class="sd">        4km to compare to another scaled velocity gradient distribution with a</span>
+<span class="sd">        different resolution.</span>
+<span class="sd">    percentile : float</span>
+<span class="sd">        Percentile to use to determine the maximum allowable value in the</span>
+<span class="sd">        distribution. e.g. percentile=99 eliminates values above the 99th</span>
+<span class="sd">        percentile from the histogram.</span>
+<span class="sd">    interpolate : bool</span>
+<span class="sd">        Whether to interpolate over histogram counts. e.g. if a bin has</span>
+<span class="sd">        count = 0 and surrounding bins have count &gt; 0 the bin with count = 0</span>
+<span class="sd">        will have an interpolated value.</span>
+<span class="sd">    period : float | None</span>
+<span class="sd">        If variable is periodic this gives that period. e.g. If the variable</span>
+<span class="sd">        is winddirection the period is 360 degrees and we need to account for</span>
+<span class="sd">        0 and 360 being close.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    ndarray</span>
+<span class="sd">        d(var) / dx at bin centers</span>
+<span class="sd">    ndarray</span>
+<span class="sd">        d(var) / dx value counts</span>
+<span class="sd">    float</span>
+<span class="sd">        Normalization factor</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">diffs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">diff</span><span class="p">(</span><span class="n">var</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">flatten</span><span class="p">()</span>
+    <span class="k">if</span> <span class="n">period</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">diffs</span> <span class="o">=</span> <span class="p">(</span><span class="n">diffs</span> <span class="o">+</span> <span class="n">period</span> <span class="o">/</span> <span class="mi">2</span><span class="p">)</span> <span class="o">%</span> <span class="n">period</span> <span class="o">-</span> <span class="n">period</span> <span class="o">/</span> <span class="mi">2</span>
+    <span class="n">diffs</span> <span class="o">/=</span> <span class="n">scale</span>
+    <span class="n">diff_max</span> <span class="o">=</span> <span class="n">diff_max</span> <span class="ow">or</span> <span class="n">np</span><span class="o">.</span><span class="n">percentile</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">diffs</span><span class="p">),</span> <span class="n">percentile</span><span class="p">)</span>
+    <span class="n">diffs</span> <span class="o">=</span> <span class="n">diffs</span><span class="p">[(</span><span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">diffs</span><span class="p">)</span> <span class="o">&lt;</span> <span class="n">diff_max</span><span class="p">)]</span>
+    <span class="n">norm</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">diffs</span><span class="o">**</span><span class="mi">2</span><span class="p">))</span>
+    <span class="n">counts</span><span class="p">,</span> <span class="n">centers</span> <span class="o">=</span> <span class="n">continuous_dist</span><span class="p">(</span><span class="n">diffs</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="n">bins</span><span class="p">,</span> <span class="nb">range</span><span class="o">=</span><span class="nb">range</span><span class="p">,</span>
+                                      <span class="n">interpolate</span><span class="o">=</span><span class="n">interpolate</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">centers</span><span class="p">,</span> <span class="n">counts</span><span class="p">,</span> <span class="n">norm</span></div>
+
+
+
+<div class="viewcode-block" id="time_derivative_dist">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.qa.utilities.time_derivative_dist.html#sup3r.qa.utilities.time_derivative_dist">[docs]</a>
+<span class="k">def</span> <span class="nf">time_derivative_dist</span><span class="p">(</span><span class="n">var</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="mi">40</span><span class="p">,</span> <span class="nb">range</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">diff_max</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">t_steps</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+                         <span class="n">scale</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">percentile</span><span class="o">=</span><span class="mf">99.9</span><span class="p">,</span> <span class="n">interpolate</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+                         <span class="n">period</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Returns the time derivative distribution for the given variable.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    var: ndarray</span>
+<span class="sd">        (lat, lon, temporal)</span>
+<span class="sd">    bins : int</span>
+<span class="sd">        Number of bins for the time derivative pdf.</span>
+<span class="sd">    range : tuple | None</span>
+<span class="sd">        Optional min/max range for the time derivative pdf.</span>
+<span class="sd">    diff_max : float</span>
+<span class="sd">        Max value to keep for time derivative</span>
+<span class="sd">    t_steps : int</span>
+<span class="sd">        Number of time steps to use for differences. e.g. If t_steps=1 this</span>
+<span class="sd">        uses var[i + 1] - [i] to compute time derivatives.</span>
+<span class="sd">    scale : int</span>
+<span class="sd">        Factor to scale the distribution by. This is used so that distributions</span>
+<span class="sd">        from data with different resolutions can be compared. For instance, if</span>
+<span class="sd">        this is calculating a time derivative distribution from data with a</span>
+<span class="sd">        temporal resolution of 15min then the distribution needs to be scaled</span>
+<span class="sd">        by 15min to compare to another scaled time derivative distribution with</span>
+<span class="sd">        a different resolution</span>
+<span class="sd">    percentile : float</span>
+<span class="sd">        Percentile to use to determine the maximum allowable value in the</span>
+<span class="sd">        distribution. e.g. percentile=99 eliminates values above the 99th</span>
+<span class="sd">        percentile from the histogram.</span>
+<span class="sd">    interpolate : bool</span>
+<span class="sd">        Whether to interpolate over histogram counts. e.g. if a bin has</span>
+<span class="sd">        count = 0 and surrounding bins have count &gt; 0 the bin with count = 0</span>
+<span class="sd">        will have an interpolated value.</span>
+<span class="sd">    period : float | None</span>
+<span class="sd">        If variable is periodic this gives that period. e.g. If the variable</span>
+<span class="sd">        is winddirection the period is 360 degrees and we need to account for</span>
+<span class="sd">        0 and 360 being close.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    ndarray</span>
+<span class="sd">        d(var) / dt values at bin centers</span>
+<span class="sd">    ndarray</span>
+<span class="sd">        d(var) / dt value counts</span>
+<span class="sd">    float</span>
+<span class="sd">        Normalization factor</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Received t_steps=</span><span class="si">{</span><span class="n">t_steps</span><span class="si">}</span><span class="s1"> for time derivative calculation but &#39;</span>
+           <span class="s1">&#39;data only has </span><span class="si">{var.shape[-1]}</span><span class="s1"> time steps&#39;</span><span class="p">)</span>
+    <span class="k">assert</span> <span class="n">t_steps</span> <span class="o">&lt;</span> <span class="n">var</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">msg</span>
+    <span class="n">diffs</span> <span class="o">=</span> <span class="p">(</span><span class="n">var</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">t_steps</span><span class="p">:]</span> <span class="o">-</span> <span class="n">var</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="p">:</span><span class="o">-</span><span class="n">t_steps</span><span class="p">])</span><span class="o">.</span><span class="n">flatten</span><span class="p">()</span>
+    <span class="k">if</span> <span class="n">period</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">diffs</span> <span class="o">=</span> <span class="p">(</span><span class="n">diffs</span> <span class="o">+</span> <span class="n">period</span> <span class="o">/</span> <span class="mi">2</span><span class="p">)</span> <span class="o">%</span> <span class="n">period</span> <span class="o">-</span> <span class="n">period</span> <span class="o">/</span> <span class="mi">2</span>
+    <span class="n">diffs</span> <span class="o">/=</span> <span class="n">scale</span>
+    <span class="n">diff_max</span> <span class="o">=</span> <span class="n">diff_max</span> <span class="ow">or</span> <span class="n">np</span><span class="o">.</span><span class="n">percentile</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">diffs</span><span class="p">),</span> <span class="n">percentile</span><span class="p">)</span>
+    <span class="n">diffs</span> <span class="o">=</span> <span class="n">diffs</span><span class="p">[(</span><span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">diffs</span><span class="p">)</span> <span class="o">&lt;</span> <span class="n">diff_max</span><span class="p">)]</span>
+    <span class="n">norm</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">diffs</span><span class="o">**</span><span class="mi">2</span><span class="p">))</span>
+    <span class="n">counts</span><span class="p">,</span> <span class="n">centers</span> <span class="o">=</span> <span class="n">continuous_dist</span><span class="p">(</span><span class="n">diffs</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="n">bins</span><span class="p">,</span> <span class="nb">range</span><span class="o">=</span><span class="nb">range</span><span class="p">,</span>
+                                      <span class="n">interpolate</span><span class="o">=</span><span class="n">interpolate</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">centers</span><span class="p">,</span> <span class="n">counts</span><span class="p">,</span> <span class="n">norm</span></div>
+
+
+
+<div class="viewcode-block" id="continuous_dist">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.qa.utilities.continuous_dist.html#sup3r.qa.utilities.continuous_dist">[docs]</a>
+<span class="k">def</span> <span class="nf">continuous_dist</span><span class="p">(</span><span class="n">diffs</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="nb">range</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">interpolate</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Get interpolated distribution from histogram</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    diffs : ndarray</span>
+<span class="sd">        Array of values to use to construct distribution</span>
+<span class="sd">    bins : int</span>
+<span class="sd">        Number of bins for the distribution. If None then the number of bins</span>
+<span class="sd">        will be determined from the value range and the smallest difference</span>
+<span class="sd">        between values</span>
+<span class="sd">    range : tuple | None</span>
+<span class="sd">        Optional min/max range for the distribution.</span>
+<span class="sd">    interpolate : bool</span>
+<span class="sd">        Whether to interpolate over histogram counts. e.g. if a bin has</span>
+<span class="sd">        count = 0 and surrounding bins have count &gt; 0 the bin with count = 0</span>
+<span class="sd">        will have an interpolated value.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    ndarray</span>
+<span class="sd">        distribution value counts</span>
+<span class="sd">    ndarray</span>
+<span class="sd">        distribution values at bin centers</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">if</span> <span class="n">bins</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">dx</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">diff</span><span class="p">(</span><span class="n">diffs</span><span class="p">))</span>
+        <span class="n">dx</span> <span class="o">=</span> <span class="n">dx</span><span class="p">[</span><span class="n">dx</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">]</span>
+        <span class="n">dx</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">dx</span><span class="p">)</span>
+        <span class="n">bins</span> <span class="o">=</span> <span class="nb">int</span><span class="p">((</span><span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">diffs</span><span class="p">)</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">diffs</span><span class="p">))</span> <span class="o">/</span> <span class="n">dx</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Using n_bins=</span><span class="si">{</span><span class="n">bins</span><span class="si">}</span><span class="s1"> to compute distribution&#39;</span><span class="p">)</span>
+    <span class="n">counts</span><span class="p">,</span> <span class="n">edges</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">histogram</span><span class="p">(</span><span class="n">diffs</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="n">bins</span><span class="p">,</span> <span class="nb">range</span><span class="o">=</span><span class="nb">range</span><span class="p">)</span>
+    <span class="n">centers</span> <span class="o">=</span> <span class="n">edges</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">diff</span><span class="p">(</span><span class="n">edges</span><span class="p">)</span> <span class="o">/</span> <span class="mi">2</span><span class="p">)</span>
+    <span class="k">if</span> <span class="n">interpolate</span><span class="p">:</span>
+        <span class="n">indices</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">counts</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">)</span>
+        <span class="n">y</span> <span class="o">=</span> <span class="n">counts</span><span class="p">[</span><span class="n">indices</span><span class="p">]</span>
+        <span class="n">x</span> <span class="o">=</span> <span class="n">centers</span><span class="p">[</span><span class="n">indices</span><span class="p">]</span>
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">interp</span> <span class="o">=</span> <span class="n">interp1d</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">bounds_error</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">fill_value</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+            <span class="n">counts</span> <span class="o">=</span> <span class="n">interp</span><span class="p">(</span><span class="n">centers</span><span class="p">)</span>
+    <span class="n">counts</span> <span class="o">=</span> <span class="n">counts</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">float</span><span class="p">)</span> <span class="o">/</span> <span class="n">counts</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span>
+    <span class="k">return</span> <span class="n">counts</span><span class="p">,</span> <span class="n">centers</span></div>
+
+</pre></div>
+
+                </article>
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+  <h1>Source code for sup3r.solar.solar</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Custom sup3r solar module. This primarily converts GAN output clearsky ratio</span>
+<span class="sd">to GHI, DNI, and DHI using NSRDB data and utility modules like DISC</span>
+
+<span class="sd">Note that clearsky_ratio is assumed to be clearsky ghi ratio and is calculated</span>
+<span class="sd">as daily average GHI / daily average clearsky GHI.</span>
+<span class="sd">&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">from</span> <span class="nn">farms.disc</span> <span class="kn">import</span> <span class="n">disc</span>
+<span class="kn">from</span> <span class="nn">farms.utilities</span> <span class="kn">import</span> <span class="n">calc_dhi</span><span class="p">,</span> <span class="n">dark_night</span>
+<span class="kn">from</span> <span class="nn">rex</span> <span class="kn">import</span> <span class="n">MultiTimeResource</span><span class="p">,</span> <span class="n">Resource</span>
+<span class="kn">from</span> <span class="nn">rex.utilities.fun_utils</span> <span class="kn">import</span> <span class="n">get_fun_call_str</span>
+<span class="kn">from</span> <span class="nn">scipy.spatial</span> <span class="kn">import</span> <span class="n">KDTree</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.postprocessing</span> <span class="kn">import</span> <span class="n">OUTPUT_ATTRS</span><span class="p">,</span> <span class="n">RexOutputs</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="n">expand_paths</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities</span> <span class="kn">import</span> <span class="n">ModuleName</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.cli</span> <span class="kn">import</span> <span class="n">BaseCLI</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="Solar">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar">[docs]</a>
+<span class="k">class</span> <span class="nc">Solar</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Custom sup3r solar module. This primarily converts GAN output clearsky</span>
+<span class="sd">    ratio to GHI, DNI, and DHI using NSRDB data and utility modules like</span>
+<span class="sd">    DISC&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">sup3r_fps</span><span class="p">,</span>
+        <span class="n">nsrdb_fp</span><span class="p">,</span>
+        <span class="n">t_slice</span><span class="o">=</span><span class="nb">slice</span><span class="p">(</span><span class="kc">None</span><span class="p">),</span>
+        <span class="n">tz</span><span class="o">=-</span><span class="mi">6</span><span class="p">,</span>
+        <span class="n">agg_factor</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+        <span class="n">nn_threshold</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span>
+        <span class="n">cloud_threshold</span><span class="o">=</span><span class="mf">0.99</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        sup3r_fps : str | list</span>
+<span class="sd">            Full .h5 filepath(s) to one or more sup3r GAN output .h5 chunk</span>
+<span class="sd">            files containing clearsky_ratio, time_index, and meta. These files</span>
+<span class="sd">            must have the same meta data but can be sequential and ordered</span>
+<span class="sd">            temporal chunks. The data in this file has been rolled by tz</span>
+<span class="sd">            to a local time (assumed that the GAN was trained on local time</span>
+<span class="sd">            solar data) and will be converted back into UTC, so it&#39;s wise to</span>
+<span class="sd">            include some padding in the sup3r_fps file list.</span>
+<span class="sd">        nsrdb_fp : str</span>
+<span class="sd">            Filepath to NSRDB .h5 file containing clearsky_ghi, clearsky_dni,</span>
+<span class="sd">            clearsky_dhi data.</span>
+<span class="sd">        t_slice : slice</span>
+<span class="sd">            Slicing argument to slice the temporal axis of the sup3r_fps source</span>
+<span class="sd">            data after doing the tz roll to UTC but before returning the</span>
+<span class="sd">            irradiance variables. This can be used to effectively pad the solar</span>
+<span class="sd">            irradiance calculation in UTC time. For example, if sup3r_fps is 3</span>
+<span class="sd">            files each with 24 hours of data, t_slice can be slice(24, 48) to</span>
+<span class="sd">            only output the middle day of irradiance data, but padded by the</span>
+<span class="sd">            other two days for the UTC output.</span>
+<span class="sd">        tz : int</span>
+<span class="sd">            The timezone offset for the data in sup3r_fps. It is assumed that</span>
+<span class="sd">            the GAN is trained on data in local time and therefore the output</span>
+<span class="sd">            in sup3r_fps should be treated as local time. For example, -6 is</span>
+<span class="sd">            CST which is default for CONUS training data.</span>
+<span class="sd">        agg_factor : int</span>
+<span class="sd">            Spatial aggregation factor for nsrdb-to-GAN-meta e.g. the number of</span>
+<span class="sd">            NSRDB spatial pixels to average for a single sup3r GAN output site.</span>
+<span class="sd">        nn_threshold : float</span>
+<span class="sd">            The KDTree nearest neighbor threshold that determines how far the</span>
+<span class="sd">            sup3r GAN output data has to be from the NSRDB source data to get</span>
+<span class="sd">            irradiance=0. Note that is value is in decimal degrees which is a</span>
+<span class="sd">            very approximate way to determine real distance.</span>
+<span class="sd">        cloud_threshold : float</span>
+<span class="sd">            Clearsky ratio threshold below which the data is considered cloudy</span>
+<span class="sd">            and DNI is calculated using DISC.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">t_slice</span> <span class="o">=</span> <span class="n">t_slice</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">agg_factor</span> <span class="o">=</span> <span class="n">agg_factor</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">nn_threshold</span> <span class="o">=</span> <span class="n">nn_threshold</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">cloud_threshold</span> <span class="o">=</span> <span class="n">cloud_threshold</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">tz</span> <span class="o">=</span> <span class="n">tz</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_nsrdb_fp</span> <span class="o">=</span> <span class="n">nsrdb_fp</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_sup3r_fps</span> <span class="o">=</span> <span class="n">sup3r_fps</span>
+        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_sup3r_fps</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_sup3r_fps</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_sup3r_fps</span><span class="p">]</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+            <span class="s1">&#39;Initializing solar module with sup3r files: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="p">[</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">basename</span><span class="p">(</span><span class="n">fp</span><span class="p">)</span> <span class="k">for</span> <span class="n">fp</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_sup3r_fps</span><span class="p">]</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+            <span class="s1">&#39;Initializing solar module with temporal slice: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">t_slice</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+            <span class="s1">&#39;Initializing solar module with NSRDB source fp: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_nsrdb_fp</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">gan_data</span> <span class="o">=</span> <span class="n">MultiTimeResource</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_sup3r_fps</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">nsrdb</span> <span class="o">=</span> <span class="n">Resource</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_nsrdb_fp</span><span class="p">)</span>
+
+        <span class="c1"># cached variables</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_nsrdb_tslice</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_idnn</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_dist</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_sza</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_cs_ratio</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_ghi</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_dni</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_dhi</span> <span class="o">=</span> <span class="kc">None</span>
+
+        <span class="bp">self</span><span class="o">.</span><span class="n">preflight</span><span class="p">()</span>
+
+    <span class="k">def</span> <span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="k">return</span> <span class="bp">self</span>
+
+    <span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">exc_type</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">,</span> <span class="n">traceback</span><span class="p">):</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
+        <span class="k">if</span> <span class="n">exc_type</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">raise</span>
+
+<div class="viewcode-block" id="Solar.preflight">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.preflight">[docs]</a>
+    <span class="k">def</span> <span class="nf">preflight</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Run preflight checks on source data to make sure everything will</span>
+<span class="sd">        work together.&quot;&quot;&quot;</span>
+        <span class="k">assert</span> <span class="s1">&#39;clearsky_ratio&#39;</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">gan_data</span><span class="o">.</span><span class="n">dsets</span>
+        <span class="k">assert</span> <span class="s1">&#39;clearsky_ghi&#39;</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">nsrdb</span><span class="o">.</span><span class="n">dsets</span>
+        <span class="k">assert</span> <span class="s1">&#39;clearsky_dni&#39;</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">nsrdb</span><span class="o">.</span><span class="n">dsets</span>
+        <span class="k">assert</span> <span class="s1">&#39;solar_zenith_angle&#39;</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">nsrdb</span><span class="o">.</span><span class="n">dsets</span>
+        <span class="k">assert</span> <span class="s1">&#39;surface_pressure&#39;</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">nsrdb</span><span class="o">.</span><span class="n">dsets</span>
+        <span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">nsrdb_tslice</span><span class="p">,</span> <span class="nb">slice</span><span class="p">)</span>
+
+        <span class="n">ti_gan</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">gan_data</span><span class="o">.</span><span class="n">time_index</span>
+        <span class="n">delta</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">(</span><span class="n">ti_gan</span><span class="p">[</span><span class="mi">1</span><span class="p">:]</span> <span class="o">-</span> <span class="n">ti_gan</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span><span class="o">.</span><span class="n">total_seconds</span><span class="p">()</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Its assumed that the sup3r GAN output solar data will be &#39;</span>
+            <span class="s1">&#39;hourly but received time index: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">ti_gan</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="n">delta</span> <span class="o">==</span> <span class="mi">3600</span><span class="p">,</span> <span class="n">msg</span></div>
+
+
+<div class="viewcode-block" id="Solar.close">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.close">[docs]</a>
+    <span class="k">def</span> <span class="nf">close</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Close all internal file handlers&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">gan_data</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">nsrdb</span><span class="o">.</span><span class="n">close</span><span class="p">()</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">idnn</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the nearest neighbor meta data indices from the NSRDB data that</span>
+<span class="sd">        correspond to the sup3r GAN data</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        idnn : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            2D array of length (n_sup3r_sites, agg_factor) where the values are</span>
+<span class="sd">            meta data indices from the NSRDB.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_idnn</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">tree</span> <span class="o">=</span> <span class="n">KDTree</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">nsrdb</span><span class="o">.</span><span class="n">meta</span><span class="p">[[</span><span class="s1">&#39;latitude&#39;</span><span class="p">,</span> <span class="s1">&#39;longitude&#39;</span><span class="p">]])</span>
+            <span class="n">out</span> <span class="o">=</span> <span class="n">tree</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">gan_data</span><span class="o">.</span><span class="n">meta</span><span class="p">[[</span><span class="s1">&#39;latitude&#39;</span><span class="p">,</span> <span class="s1">&#39;longitude&#39;</span><span class="p">]])</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_dist</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_idnn</span> <span class="o">=</span> <span class="n">out</span>
+            <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_idnn</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_dist</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_dist</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_idnn</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_idnn</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_idnn</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">dist</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the nearest neighbor distances from the sup3r GAN data sites to</span>
+<span class="sd">        the NSRDB nearest neighbors.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        dist : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            2D array of length (n_sup3r_sites, agg_factor) where the values are</span>
+<span class="sd">            decimal degree distances from the sup3r sites to the nsrdb nearest</span>
+<span class="sd">            neighbors.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_dist</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">_</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">idnn</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_dist</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">time_index</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Time index for the sup3r GAN output data but sliced by t_slice</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        pd.DatetimeIndex</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">gan_data</span><span class="o">.</span><span class="n">time_index</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">t_slice</span><span class="p">]</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">out_of_bounds</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a boolean mask for the sup3r data that is out of bounds (too far</span>
+<span class="sd">        from the NSRDB data).</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out_of_bounds : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            1D boolean array with length == number of sup3r GAN sites. True if</span>
+<span class="sd">            the site is too far from the NSRDB.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">dist</span> <span class="o">&gt;</span> <span class="bp">self</span><span class="o">.</span><span class="n">nn_threshold</span><span class="p">)</span><span class="o">.</span><span class="n">any</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">nsrdb_tslice</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the time slice of the NSRDB data corresponding to the sup3r GAN</span>
+<span class="sd">        output.&quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_nsrdb_tslice</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">doy_nsrdb</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">nsrdb</span><span class="o">.</span><span class="n">time_index</span><span class="o">.</span><span class="n">day_of_year</span>
+            <span class="n">doy_gan</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">time_index</span><span class="o">.</span><span class="n">day_of_year</span>
+            <span class="n">mask</span> <span class="o">=</span> <span class="n">doy_nsrdb</span><span class="o">.</span><span class="n">isin</span><span class="p">(</span><span class="n">doy_gan</span><span class="p">)</span>
+
+            <span class="k">if</span> <span class="n">mask</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+                <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="s1">&#39;Time index intersection of the NSRDB time index and &#39;</span>
+                    <span class="s1">&#39;sup3r GAN output has only </span><span class="si">{}</span><span class="s1"> common timesteps! &#39;</span>
+                    <span class="s1">&#39;Something went wrong.</span><span class="se">\n</span><span class="s1">NSRDB time index: </span><span class="se">\n</span><span class="si">{}</span><span class="se">\n</span><span class="s1">Sup3r &#39;</span>
+                    <span class="s1">&#39;GAN output time index:</span><span class="se">\n</span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                        <span class="n">mask</span><span class="o">.</span><span class="n">sum</span><span class="p">(),</span> <span class="bp">self</span><span class="o">.</span><span class="n">nsrdb</span><span class="o">.</span><span class="n">time_index</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">time_index</span>
+                    <span class="p">)</span>
+                <span class="p">)</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+            <span class="n">ilocs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">mask</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+            <span class="n">t0</span><span class="p">,</span> <span class="n">t1</span> <span class="o">=</span> <span class="n">ilocs</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">ilocs</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span>
+
+            <span class="n">ti_nsrdb</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">nsrdb</span><span class="o">.</span><span class="n">time_index</span>
+            <span class="n">delta</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">(</span><span class="n">ti_nsrdb</span><span class="p">[</span><span class="mi">1</span><span class="p">:]</span> <span class="o">-</span> <span class="n">ti_nsrdb</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">])[</span><span class="mi">1</span><span class="p">:]</span>
+                <span class="o">.</span><span class="n">mean</span><span class="p">()</span>
+                <span class="o">.</span><span class="n">total_seconds</span><span class="p">()</span>
+            <span class="p">)</span>
+
+            <span class="n">step</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="mi">3600</span> <span class="o">/</span> <span class="n">delta</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_nsrdb_tslice</span> <span class="o">=</span> <span class="nb">slice</span><span class="p">(</span><span class="n">t0</span><span class="p">,</span> <span class="n">t1</span><span class="p">,</span> <span class="n">step</span><span class="p">)</span>
+
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                <span class="s1">&#39;Found nsrdb_tslice </span><span class="si">{}</span><span class="s1"> with corresponding &#39;</span>
+                <span class="s1">&#39;time index:</span><span class="se">\n\t</span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">_nsrdb_tslice</span><span class="p">,</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">nsrdb</span><span class="o">.</span><span class="n">time_index</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_nsrdb_tslice</span><span class="p">],</span>
+                <span class="p">)</span>
+            <span class="p">)</span>
+
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_nsrdb_tslice</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">clearsky_ratio</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the clearsky ghi ratio data from the GAN output, rolled from tz</span>
+<span class="sd">        to UTC.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        clearsky_ratio : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            2D array with shape (time, sites) in UTC.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_cs_ratio</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_cs_ratio</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">gan_data</span><span class="p">[</span><span class="s1">&#39;clearsky_ratio&#39;</span><span class="p">]</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_cs_ratio</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">roll</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_cs_ratio</span><span class="p">,</span> <span class="o">-</span><span class="bp">self</span><span class="o">.</span><span class="n">tz</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+
+            <span class="c1"># if tz is negative, roll to utc is positive, and the beginning of</span>
+            <span class="c1"># the dataset is rolled over from the end and must be backfilled,</span>
+            <span class="c1"># otherwise you can get seams</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_cs_ratio</span><span class="p">[:</span> <span class="o">-</span><span class="bp">self</span><span class="o">.</span><span class="n">tz</span><span class="p">,</span> <span class="p">:]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_cs_ratio</span><span class="p">[</span><span class="o">-</span><span class="bp">self</span><span class="o">.</span><span class="n">tz</span><span class="p">,</span> <span class="p">:]</span>
+
+            <span class="c1"># apply temporal slicing of source data, see docstring on t_slice</span>
+            <span class="c1"># for more info</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_cs_ratio</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_cs_ratio</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">t_slice</span><span class="p">,</span> <span class="p">:]</span>
+
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_cs_ratio</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">solar_zenith_angle</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the solar zenith angle (degrees)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        solar_zenith_angle : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            2D array with shape (time, sites) in UTC.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_sza</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_sza</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_nsrdb_data</span><span class="p">(</span><span class="s1">&#39;solar_zenith_angle&#39;</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_sza</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">ghi</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the ghi (W/m2) based on the GAN output clearsky ratio +</span>
+<span class="sd">        clearsky_ghi in UTC.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        ghi : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            2D array with shape (time, sites) in UTC.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ghi</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Calculating GHI.&#39;</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_ghi</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">get_nsrdb_data</span><span class="p">(</span><span class="s1">&#39;clearsky_ghi&#39;</span><span class="p">)</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">clearsky_ratio</span>
+            <span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_ghi</span><span class="p">[:,</span> <span class="bp">self</span><span class="o">.</span><span class="n">out_of_bounds</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ghi</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">dni</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the dni (W/m2) which is clearsky dni (from NSRDB) when the GAN</span>
+<span class="sd">        output is clear (clearsky_ratio is &gt; cloud_threshold), and calculated</span>
+<span class="sd">        from the DISC model when cloudy</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        dni : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            2D array with shape (time, sites) in UTC.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_dni</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Calculating DNI.&#39;</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_dni</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_nsrdb_data</span><span class="p">(</span><span class="s1">&#39;clearsky_dni&#39;</span><span class="p">)</span>
+            <span class="n">pressure</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_nsrdb_data</span><span class="p">(</span><span class="s1">&#39;surface_pressure&#39;</span><span class="p">)</span>
+            <span class="n">doy</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">time_index</span><span class="o">.</span><span class="n">day_of_year</span><span class="o">.</span><span class="n">values</span>
+            <span class="n">cloudy_dni</span> <span class="o">=</span> <span class="n">disc</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">ghi</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">solar_zenith_angle</span><span class="p">,</span> <span class="n">doy</span><span class="p">,</span> <span class="n">pressure</span><span class="o">=</span><span class="n">pressure</span>
+            <span class="p">)</span>
+            <span class="n">cloudy_dni</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">minimum</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_dni</span><span class="p">,</span> <span class="n">cloudy_dni</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_dni</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">cloud_mask</span><span class="p">]</span> <span class="o">=</span> <span class="n">cloudy_dni</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">cloud_mask</span><span class="p">]</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_dni</span> <span class="o">=</span> <span class="n">dark_night</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_dni</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">solar_zenith_angle</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_dni</span><span class="p">[:,</span> <span class="bp">self</span><span class="o">.</span><span class="n">out_of_bounds</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_dni</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">dhi</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the dhi (W/m2) which is calculated based on the simple</span>
+<span class="sd">        relationship between GHI, DNI and solar zenith angle.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        dhi : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            2D array with shape (time, sites) in UTC.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_dhi</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Calculating DHI.&#39;</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_dhi</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_dni</span> <span class="o">=</span> <span class="n">calc_dhi</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">dni</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">ghi</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">solar_zenith_angle</span>
+            <span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_dhi</span> <span class="o">=</span> <span class="n">dark_night</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_dhi</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">solar_zenith_angle</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_dhi</span><span class="p">[:,</span> <span class="bp">self</span><span class="o">.</span><span class="n">out_of_bounds</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_dhi</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">cloud_mask</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the cloud mask (True if cloudy) based on the GAN output clearsky</span>
+<span class="sd">        ratio in UTC.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        cloud_mask : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            2D array with shape (time, sites) in UTC.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">clearsky_ratio</span> <span class="o">&lt;</span> <span class="bp">self</span><span class="o">.</span><span class="n">cloud_threshold</span>
+
+<div class="viewcode-block" id="Solar.get_nsrdb_data">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.get_nsrdb_data">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_nsrdb_data</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dset</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get an NSRDB dataset with spatial index corresponding to the sup3r</span>
+<span class="sd">        GAN output data, averaged across the agg_factor.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        dset : str</span>
+<span class="sd">            Name of dataset to retrieve from NSRDB source file</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            Dataset of shape (time, sites) where time and sites correspond to</span>
+<span class="sd">            the same shape as the sup3r GAN output data and if agg_factor &gt; 1</span>
+<span class="sd">            the sites is an average across multiple NSRDB sites.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Retrieving &quot;</span><span class="si">{}</span><span class="s1">&quot; from NSRDB source data.&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">dset</span><span class="p">))</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="kc">None</span>
+
+        <span class="k">for</span> <span class="n">idx</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">idnn</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]):</span>
+            <span class="n">temp</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">nsrdb</span><span class="p">[</span><span class="n">dset</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">nsrdb_tslice</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">idnn</span><span class="p">[:,</span> <span class="n">idx</span><span class="p">]]</span>
+            <span class="n">temp</span> <span class="o">=</span> <span class="n">temp</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+
+            <span class="k">if</span> <span class="n">out</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+                <span class="n">out</span> <span class="o">=</span> <span class="n">temp</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">out</span> <span class="o">+=</span> <span class="n">temp</span>
+
+        <span class="n">out</span> <span class="o">/=</span> <span class="bp">self</span><span class="o">.</span><span class="n">idnn</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+
+        <span class="k">return</span> <span class="n">out</span></div>
+
+
+<div class="viewcode-block" id="Solar.get_sup3r_fps">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.get_sup3r_fps">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">get_sup3r_fps</span><span class="p">(</span><span class="n">fp_pattern</span><span class="p">,</span> <span class="n">ignore</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a list of file chunks to run in parallel based on a file pattern</span>
+
+<span class="sd">        Note</span>
+<span class="sd">        ----</span>
+<span class="sd">        It&#39;s assumed that all source files have the pattern</span>
+<span class="sd">        `sup3r_file_TTTTTT_SSSSSS.h5` where TTTTTT is the zero-padded temporal</span>
+<span class="sd">        chunk index and SSSSSS is the zero-padded spatial chunk index.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        fp_pattern : str | list</span>
+<span class="sd">            Unix-style file*pattern that matches a set of spatiotemporally</span>
+<span class="sd">            chunked sup3r forward pass output files.</span>
+<span class="sd">        ignore : str | None</span>
+<span class="sd">            Ignore all files that have this string in their filenames.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        fp_sets : list</span>
+<span class="sd">            List of file sets where each file set is 3 temporally sequential</span>
+<span class="sd">            files over the same spatial chunk. Each file set overlaps with its</span>
+<span class="sd">            neighbor such that fp_sets[0][-1] == fp_sets[1][0] (this is so</span>
+<span class="sd">            Solar can do temporal padding when rolling from GAN local time</span>
+<span class="sd">            output to UTC).</span>
+<span class="sd">        t_slices : list</span>
+<span class="sd">            List of t_slice arguments corresponding to fp_sets to pass to</span>
+<span class="sd">            Solar class initialization that will slice and reduce the</span>
+<span class="sd">            overlapping time axis when Solar outputs irradiance data.</span>
+<span class="sd">        temporal_ids : list</span>
+<span class="sd">            List of temporal id strings TTTTTT corresponding to the fp_sets</span>
+<span class="sd">        spatial_ids : list</span>
+<span class="sd">            List of spatial id strings SSSSSS corresponding to the fp_sets</span>
+<span class="sd">        target_fps : list</span>
+<span class="sd">            List of actual target files corresponding to fp_sets, so for</span>
+<span class="sd">            example the file set fp_sets[10] sliced by t_slices[10] is designed</span>
+<span class="sd">            to process target_fps[10]</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">all_fps</span> <span class="o">=</span> <span class="p">[</span><span class="n">fp</span> <span class="k">for</span> <span class="n">fp</span> <span class="ow">in</span> <span class="n">expand_paths</span><span class="p">(</span><span class="n">fp_pattern</span><span class="p">)</span> <span class="k">if</span> <span class="n">fp</span><span class="o">.</span><span class="n">endswith</span><span class="p">(</span><span class="s1">&#39;.h5&#39;</span><span class="p">)]</span>
+        <span class="k">if</span> <span class="n">ignore</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">all_fps</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="n">fp</span> <span class="k">for</span> <span class="n">fp</span> <span class="ow">in</span> <span class="n">all_fps</span> <span class="k">if</span> <span class="n">ignore</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">basename</span><span class="p">(</span><span class="n">fp</span><span class="p">)</span>
+            <span class="p">]</span>
+
+        <span class="n">all_fps</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">all_fps</span><span class="p">)</span>
+
+        <span class="n">source_dir</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">all_fps</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+        <span class="n">source_fn_base</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">basename</span><span class="p">(</span><span class="n">all_fps</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;.h5&#39;</span><span class="p">,</span> <span class="s1">&#39;&#39;</span><span class="p">)</span>
+        <span class="n">source_fn_base</span> <span class="o">=</span> <span class="s1">&#39;_&#39;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">source_fn_base</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;_&#39;</span><span class="p">)[:</span><span class="o">-</span><span class="mi">2</span><span class="p">])</span>
+
+        <span class="n">all_id_spatial</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="n">fp</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;.h5&#39;</span><span class="p">,</span> <span class="s1">&#39;&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;_&#39;</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="k">for</span> <span class="n">fp</span> <span class="ow">in</span> <span class="n">all_fps</span>
+        <span class="p">]</span>
+        <span class="n">all_id_temporal</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="n">fp</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;.h5&#39;</span><span class="p">,</span> <span class="s1">&#39;&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;_&#39;</span><span class="p">)[</span><span class="o">-</span><span class="mi">2</span><span class="p">]</span> <span class="k">for</span> <span class="n">fp</span> <span class="ow">in</span> <span class="n">all_fps</span>
+        <span class="p">]</span>
+
+        <span class="n">all_id_spatial</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">all_id_spatial</span><span class="p">))</span>
+        <span class="n">all_id_temporal</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">all_id_temporal</span><span class="p">))</span>
+
+        <span class="n">fp_sets</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">t_slices</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">temporal_ids</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">spatial_ids</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">target_fps</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="k">for</span> <span class="n">idt</span><span class="p">,</span> <span class="n">id_temporal</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">all_id_temporal</span><span class="p">):</span>
+            <span class="n">start</span> <span class="o">=</span> <span class="mi">0</span>
+            <span class="n">single_chunk_id_temps</span> <span class="o">=</span> <span class="p">[</span><span class="n">id_temporal</span><span class="p">]</span>
+
+            <span class="k">if</span> <span class="n">idt</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+                <span class="n">start</span> <span class="o">=</span> <span class="mi">24</span>
+                <span class="n">single_chunk_id_temps</span><span class="o">.</span><span class="n">insert</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">all_id_temporal</span><span class="p">[</span><span class="n">idt</span> <span class="o">-</span> <span class="mi">1</span><span class="p">])</span>
+
+            <span class="k">if</span> <span class="n">idt</span> <span class="o">&lt;</span> <span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">all_id_temporal</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span><span class="p">):</span>
+                <span class="n">single_chunk_id_temps</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">all_id_temporal</span><span class="p">[</span><span class="n">idt</span> <span class="o">+</span> <span class="mi">1</span><span class="p">])</span>
+
+            <span class="k">for</span> <span class="n">id_spatial</span> <span class="ow">in</span> <span class="n">all_id_spatial</span><span class="p">:</span>
+                <span class="n">single_fp_set</span> <span class="o">=</span> <span class="p">[]</span>
+                <span class="k">for</span> <span class="n">t_str</span> <span class="ow">in</span> <span class="n">single_chunk_id_temps</span><span class="p">:</span>
+                    <span class="n">fp</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">source_dir</span><span class="p">,</span> <span class="n">source_fn_base</span><span class="p">)</span>
+                    <span class="n">fp</span> <span class="o">+=</span> <span class="sa">f</span><span class="s1">&#39;_</span><span class="si">{</span><span class="n">t_str</span><span class="si">}</span><span class="s1">_</span><span class="si">{</span><span class="n">id_spatial</span><span class="si">}</span><span class="s1">.h5&#39;</span>
+                    <span class="n">single_fp_set</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">fp</span><span class="p">)</span>
+
+                <span class="n">fp_target</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">source_dir</span><span class="p">,</span> <span class="n">source_fn_base</span><span class="p">)</span>
+                <span class="n">fp_target</span> <span class="o">+=</span> <span class="sa">f</span><span class="s1">&#39;_</span><span class="si">{</span><span class="n">id_temporal</span><span class="si">}</span><span class="s1">_</span><span class="si">{</span><span class="n">id_spatial</span><span class="si">}</span><span class="s1">.h5&#39;</span>
+
+                <span class="n">fp_sets</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">single_fp_set</span><span class="p">)</span>
+                <span class="n">t_slices</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="nb">slice</span><span class="p">(</span><span class="n">start</span><span class="p">,</span> <span class="n">start</span> <span class="o">+</span> <span class="mi">24</span><span class="p">))</span>
+                <span class="n">temporal_ids</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">id_temporal</span><span class="p">)</span>
+                <span class="n">spatial_ids</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">id_spatial</span><span class="p">)</span>
+                <span class="n">target_fps</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">fp_target</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">fp_sets</span><span class="p">,</span> <span class="n">t_slices</span><span class="p">,</span> <span class="n">temporal_ids</span><span class="p">,</span> <span class="n">spatial_ids</span><span class="p">,</span> <span class="n">target_fps</span></div>
+
+
+<div class="viewcode-block" id="Solar.get_node_cmd">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.get_node_cmd">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">get_node_cmd</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">config</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get a CLI call to run Solar.run_temporal_chunk() on a single</span>
+<span class="sd">        node based on an input config.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        config : dict</span>
+<span class="sd">            sup3r solar config with all necessary args and kwargs to</span>
+<span class="sd">            run Solar.run_temporal_chunk() on a single node.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">import_str</span> <span class="o">=</span> <span class="s1">&#39;import time;</span><span class="se">\n</span><span class="s1">&#39;</span>
+        <span class="n">import_str</span> <span class="o">+=</span> <span class="s1">&#39;from gaps import Status;</span><span class="se">\n</span><span class="s1">&#39;</span>
+        <span class="n">import_str</span> <span class="o">+=</span> <span class="s1">&#39;from rex import init_logger;</span><span class="se">\n</span><span class="s1">&#39;</span>
+        <span class="n">import_str</span> <span class="o">+=</span> <span class="sa">f</span><span class="s1">&#39;from sup3r.solar import </span><span class="si">{</span><span class="bp">cls</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s1">&#39;</span>
+
+        <span class="n">fun_str</span> <span class="o">=</span> <span class="n">get_fun_call_str</span><span class="p">(</span><span class="bp">cls</span><span class="o">.</span><span class="n">run_temporal_chunks</span><span class="p">,</span> <span class="n">config</span><span class="p">)</span>
+
+        <span class="n">log_file</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;log_file&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="n">log_level</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;log_level&#39;</span><span class="p">,</span> <span class="s1">&#39;INFO&#39;</span><span class="p">)</span>
+        <span class="n">log_arg_str</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;&quot;sup3r&quot;, log_level=&quot;</span><span class="si">{</span><span class="n">log_level</span><span class="si">}</span><span class="s1">&quot;&#39;</span>
+        <span class="k">if</span> <span class="n">log_file</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">log_arg_str</span> <span class="o">+=</span> <span class="sa">f</span><span class="s1">&#39;, log_file=&quot;</span><span class="si">{</span><span class="n">log_file</span><span class="si">}</span><span class="s1">&quot;&#39;</span>
+
+        <span class="n">cmd</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s2">&quot;python -c &#39;</span><span class="si">{</span><span class="n">import_str</span><span class="si">}</span><span class="s2">;</span><span class="se">\n</span><span class="s2">&quot;</span>
+            <span class="s1">&#39;t0 = time.time();</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;logger = init_logger(</span><span class="si">{</span><span class="n">log_arg_str</span><span class="si">}</span><span class="s1">);</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">fun_str</span><span class="si">}</span><span class="s1">;</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="s1">&#39;t_elap = time.time() - t0;</span><span class="se">\n</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+
+        <span class="n">pipeline_step</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;pipeline_step&#39;</span><span class="p">)</span> <span class="ow">or</span> <span class="n">ModuleName</span><span class="o">.</span><span class="n">SOLAR</span>
+        <span class="n">cmd</span> <span class="o">=</span> <span class="n">BaseCLI</span><span class="o">.</span><span class="n">add_status_cmd</span><span class="p">(</span><span class="n">config</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="p">,</span> <span class="n">cmd</span><span class="p">)</span>
+        <span class="n">cmd</span> <span class="o">+=</span> <span class="s2">&quot;;&#39;</span><span class="se">\n</span><span class="s2">&quot;</span>
+
+        <span class="k">return</span> <span class="n">cmd</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;</span><span class="se">\\</span><span class="s1">&#39;</span><span class="p">,</span> <span class="s1">&#39;/&#39;</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Solar.write">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.write">[docs]</a>
+    <span class="k">def</span> <span class="nf">write</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">fp_out</span><span class="p">,</span> <span class="n">features</span><span class="o">=</span><span class="p">(</span><span class="s1">&#39;ghi&#39;</span><span class="p">,</span> <span class="s1">&#39;dni&#39;</span><span class="p">,</span> <span class="s1">&#39;dhi&#39;</span><span class="p">)):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Write irradiance datasets (ghi, dni, dhi) to output h5 file.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        fp_out : str</span>
+<span class="sd">            Filepath to an output h5 file to write irradiance variables to.</span>
+<span class="sd">            Parent directory will be created if it does not exist.</span>
+<span class="sd">        features : list | tuple</span>
+<span class="sd">            List of features to write to disk. These have to be attributes of</span>
+<span class="sd">            the Solar class (ghi, dni, dhi).</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">fp_out</span><span class="p">)):</span>
+            <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">fp_out</span><span class="p">),</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+        <span class="k">with</span> <span class="n">RexOutputs</span><span class="p">(</span><span class="n">fp_out</span><span class="p">,</span> <span class="s1">&#39;w&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">fh</span><span class="p">:</span>
+            <span class="n">fh</span><span class="o">.</span><span class="n">meta</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">gan_data</span><span class="o">.</span><span class="n">meta</span>
+            <span class="n">fh</span><span class="o">.</span><span class="n">time_index</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">time_index</span>
+
+            <span class="k">for</span> <span class="n">feature</span> <span class="ow">in</span> <span class="n">features</span><span class="p">:</span>
+                <span class="n">attrs</span> <span class="o">=</span> <span class="n">OUTPUT_ATTRS</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span>
+                <span class="n">arr</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">feature</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+                <span class="k">if</span> <span class="n">arr</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+                    <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                        <span class="s1">&#39;Feature &quot;</span><span class="si">{}</span><span class="s1">&quot; was not available from Solar &#39;</span>
+                        <span class="s1">&#39;module class.&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span>
+                    <span class="p">)</span>
+                    <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                    <span class="k">raise</span> <span class="ne">AttributeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+                <span class="n">fh</span><span class="o">.</span><span class="n">add_dataset</span><span class="p">(</span>
+                    <span class="n">fp_out</span><span class="p">,</span>
+                    <span class="n">feature</span><span class="p">,</span>
+                    <span class="n">arr</span><span class="p">,</span>
+                    <span class="n">dtype</span><span class="o">=</span><span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;dtype&#39;</span><span class="p">],</span>
+                    <span class="n">attrs</span><span class="o">=</span><span class="n">attrs</span><span class="p">,</span>
+                    <span class="n">chunks</span><span class="o">=</span><span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;chunks&#39;</span><span class="p">],</span>
+                <span class="p">)</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Added &quot;</span><span class="si">{</span><span class="n">feature</span><span class="si">}</span><span class="s1">&quot; to output file.&#39;</span><span class="p">)</span>
+            <span class="n">run_attrs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">gan_data</span><span class="o">.</span><span class="n">h5</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_sup3r_fps</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span><span class="o">.</span><span class="n">global_attrs</span>
+            <span class="n">run_attrs</span><span class="p">[</span><span class="s1">&#39;nsrdb_source&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_nsrdb_fp</span>
+            <span class="n">fh</span><span class="o">.</span><span class="n">run_attrs</span> <span class="o">=</span> <span class="n">run_attrs</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Finished writing file: </span><span class="si">{</span><span class="n">fp_out</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="Solar.run_temporal_chunks">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.run_temporal_chunks">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">run_temporal_chunks</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">fp_pattern</span><span class="p">,</span>
+        <span class="n">nsrdb_fp</span><span class="p">,</span>
+        <span class="n">fp_out_suffix</span><span class="o">=</span><span class="s1">&#39;irradiance&#39;</span><span class="p">,</span>
+        <span class="n">tz</span><span class="o">=-</span><span class="mi">6</span><span class="p">,</span>
+        <span class="n">agg_factor</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+        <span class="n">nn_threshold</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span>
+        <span class="n">cloud_threshold</span><span class="o">=</span><span class="mf">0.99</span><span class="p">,</span>
+        <span class="n">features</span><span class="o">=</span><span class="p">(</span><span class="s1">&#39;ghi&#39;</span><span class="p">,</span> <span class="s1">&#39;dni&#39;</span><span class="p">,</span> <span class="s1">&#39;dhi&#39;</span><span class="p">),</span>
+        <span class="n">temporal_ids</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Run the solar module on all spatial chunks for each temporal</span>
+<span class="sd">        chunk corresponding to the fp_pattern and the given list of</span>
+<span class="sd">        temporal_ids. This typically gets run from the CLI.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        fp_pattern : str</span>
+<span class="sd">            Unix-style file*pattern that matches a set of spatiotemporally</span>
+<span class="sd">            chunked sup3r forward pass output files.</span>
+<span class="sd">        nsrdb_fp : str</span>
+<span class="sd">            Filepath to NSRDB .h5 file containing clearsky_ghi, clearsky_dni,</span>
+<span class="sd">            clearsky_dhi data.</span>
+<span class="sd">        fp_out_suffix : str</span>
+<span class="sd">            Suffix to add to the input sup3r source files when writing the</span>
+<span class="sd">            processed solar irradiance data to new data files.</span>
+<span class="sd">        tz : int</span>
+<span class="sd">            The timezone offset for the data in sup3r_fps. It is assumed that</span>
+<span class="sd">            the GAN is trained on data in local time and therefore the output</span>
+<span class="sd">            in sup3r_fps should be treated as local time. For example, -6 is</span>
+<span class="sd">            CST which is default for CONUS training data.</span>
+<span class="sd">        agg_factor : int</span>
+<span class="sd">            Spatial aggregation factor for nsrdb-to-GAN-meta e.g. the number of</span>
+<span class="sd">            NSRDB spatial pixels to average for a single sup3r GAN output site.</span>
+<span class="sd">        nn_threshold : float</span>
+<span class="sd">            The KDTree nearest neighbor threshold that determines how far the</span>
+<span class="sd">            sup3r GAN output data has to be from the NSRDB source data to get</span>
+<span class="sd">            irradiance=0. Note that is value is in decimal degrees which is a</span>
+<span class="sd">            very approximate way to determine real distance.</span>
+<span class="sd">        cloud_threshold : float</span>
+<span class="sd">            Clearsky ratio threshold below which the data is considered cloudy</span>
+<span class="sd">            and DNI is calculated using DISC.</span>
+<span class="sd">        features : list | tuple</span>
+<span class="sd">            List of features to write to disk. These have to be attributes of</span>
+<span class="sd">            the Solar class (ghi, dni, dhi).</span>
+<span class="sd">        temporal_ids : list | None</span>
+<span class="sd">            Lise of zero-padded temporal ids from the file chunks that match</span>
+<span class="sd">            fp_pattern. This input typically gets set from the CLI. If None,</span>
+<span class="sd">            this will run all temporal indices.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">temporal_ids</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">cls</span><span class="o">.</span><span class="n">_run_temporal_chunk</span><span class="p">(</span>
+                <span class="n">fp_pattern</span><span class="o">=</span><span class="n">fp_pattern</span><span class="p">,</span>
+                <span class="n">nsrdb_fp</span><span class="o">=</span><span class="n">nsrdb_fp</span><span class="p">,</span>
+                <span class="n">fp_out_suffix</span><span class="o">=</span><span class="n">fp_out_suffix</span><span class="p">,</span>
+                <span class="n">tz</span><span class="o">=</span><span class="n">tz</span><span class="p">,</span>
+                <span class="n">agg_factor</span><span class="o">=</span><span class="n">agg_factor</span><span class="p">,</span>
+                <span class="n">nn_threshold</span><span class="o">=</span><span class="n">nn_threshold</span><span class="p">,</span>
+                <span class="n">cloud_threshold</span><span class="o">=</span><span class="n">cloud_threshold</span><span class="p">,</span>
+                <span class="n">features</span><span class="o">=</span><span class="n">features</span><span class="p">,</span>
+                <span class="n">temporal_id</span><span class="o">=</span><span class="n">temporal_ids</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="k">for</span> <span class="n">temporal_id</span> <span class="ow">in</span> <span class="n">temporal_ids</span><span class="p">:</span>
+                <span class="bp">cls</span><span class="o">.</span><span class="n">_run_temporal_chunk</span><span class="p">(</span>
+                    <span class="n">fp_pattern</span><span class="o">=</span><span class="n">fp_pattern</span><span class="p">,</span>
+                    <span class="n">nsrdb_fp</span><span class="o">=</span><span class="n">nsrdb_fp</span><span class="p">,</span>
+                    <span class="n">fp_out_suffix</span><span class="o">=</span><span class="n">fp_out_suffix</span><span class="p">,</span>
+                    <span class="n">tz</span><span class="o">=</span><span class="n">tz</span><span class="p">,</span>
+                    <span class="n">agg_factor</span><span class="o">=</span><span class="n">agg_factor</span><span class="p">,</span>
+                    <span class="n">nn_threshold</span><span class="o">=</span><span class="n">nn_threshold</span><span class="p">,</span>
+                    <span class="n">cloud_threshold</span><span class="o">=</span><span class="n">cloud_threshold</span><span class="p">,</span>
+                    <span class="n">features</span><span class="o">=</span><span class="n">features</span><span class="p">,</span>
+                    <span class="n">temporal_id</span><span class="o">=</span><span class="n">temporal_id</span><span class="p">,</span>
+                <span class="p">)</span></div>
+
+
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">_run_temporal_chunk</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">fp_pattern</span><span class="p">,</span>
+        <span class="n">nsrdb_fp</span><span class="p">,</span>
+        <span class="n">fp_out_suffix</span><span class="o">=</span><span class="s1">&#39;irradiance&#39;</span><span class="p">,</span>
+        <span class="n">tz</span><span class="o">=-</span><span class="mi">6</span><span class="p">,</span>
+        <span class="n">agg_factor</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+        <span class="n">nn_threshold</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span>
+        <span class="n">cloud_threshold</span><span class="o">=</span><span class="mf">0.99</span><span class="p">,</span>
+        <span class="n">features</span><span class="o">=</span><span class="p">(</span><span class="s1">&#39;ghi&#39;</span><span class="p">,</span> <span class="s1">&#39;dni&#39;</span><span class="p">,</span> <span class="s1">&#39;dhi&#39;</span><span class="p">),</span>
+        <span class="n">temporal_id</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Run the solar module on all spatial chunks for a single temporal</span>
+<span class="sd">        chunk corresponding to the fp_pattern. This typically gets run from the</span>
+<span class="sd">        CLI.</span>
+
+<span class="sd">        See Also</span>
+<span class="sd">        --------</span>
+<span class="sd">        :meth:`run_temporal_chunks`</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">temp</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_sup3r_fps</span><span class="p">(</span><span class="n">fp_pattern</span><span class="p">,</span> <span class="n">ignore</span><span class="o">=</span><span class="sa">f</span><span class="s1">&#39;_</span><span class="si">{</span><span class="n">fp_out_suffix</span><span class="si">}</span><span class="s1">.h5&#39;</span><span class="p">)</span>
+        <span class="n">fp_sets</span><span class="p">,</span> <span class="n">t_slices</span><span class="p">,</span> <span class="n">temporal_ids</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">target_fps</span> <span class="o">=</span> <span class="n">temp</span>
+
+        <span class="k">if</span> <span class="n">temporal_id</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">fp_sets</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="n">fp_set</span>
+                <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">fp_set</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">fp_sets</span><span class="p">)</span>
+                <span class="k">if</span> <span class="n">temporal_ids</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">==</span> <span class="n">temporal_id</span>
+            <span class="p">]</span>
+            <span class="n">t_slices</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="n">t_slice</span>
+                <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">t_slice</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">t_slices</span><span class="p">)</span>
+                <span class="k">if</span> <span class="n">temporal_ids</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">==</span> <span class="n">temporal_id</span>
+            <span class="p">]</span>
+            <span class="n">target_fps</span> <span class="o">=</span> <span class="p">[</span>
+                <span class="n">target_fp</span>
+                <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">target_fp</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">target_fps</span><span class="p">)</span>
+                <span class="k">if</span> <span class="n">temporal_ids</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">==</span> <span class="n">temporal_id</span>
+            <span class="p">]</span>
+
+        <span class="n">zip_iter</span> <span class="o">=</span> <span class="nb">zip</span><span class="p">(</span><span class="n">fp_sets</span><span class="p">,</span> <span class="n">t_slices</span><span class="p">,</span> <span class="n">target_fps</span><span class="p">)</span>
+        <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="p">(</span><span class="n">fp_set</span><span class="p">,</span> <span class="n">t_slice</span><span class="p">,</span> <span class="n">fp_target</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">zip_iter</span><span class="p">):</span>
+            <span class="n">fp_out</span> <span class="o">=</span> <span class="n">fp_target</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;.h5&#39;</span><span class="p">,</span> <span class="sa">f</span><span class="s1">&#39;_</span><span class="si">{</span><span class="n">fp_out_suffix</span><span class="si">}</span><span class="s1">.h5&#39;</span><span class="p">)</span>
+
+            <span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">fp_out</span><span class="p">):</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">%s</span><span class="s1"> already exists. Skipping.&#39;</span><span class="p">,</span> <span class="n">fp_out</span><span class="p">)</span>
+
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="s1">&#39;Running temporal index </span><span class="si">{}</span><span class="s1"> out of </span><span class="si">{}</span><span class="s1">.&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                        <span class="n">i</span> <span class="o">+</span> <span class="mi">1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">fp_sets</span><span class="p">)</span>
+                    <span class="p">)</span>
+                <span class="p">)</span>
+
+                <span class="n">kwargs</span> <span class="o">=</span> <span class="p">{</span>
+                    <span class="s1">&#39;t_slice&#39;</span><span class="p">:</span> <span class="n">t_slice</span><span class="p">,</span>
+                    <span class="s1">&#39;tz&#39;</span><span class="p">:</span> <span class="n">tz</span><span class="p">,</span>
+                    <span class="s1">&#39;agg_factor&#39;</span><span class="p">:</span> <span class="n">agg_factor</span><span class="p">,</span>
+                    <span class="s1">&#39;nn_threshold&#39;</span><span class="p">:</span> <span class="n">nn_threshold</span><span class="p">,</span>
+                    <span class="s1">&#39;cloud_threshold&#39;</span><span class="p">:</span> <span class="n">cloud_threshold</span><span class="p">,</span>
+                <span class="p">}</span>
+                <span class="n">tmp_out</span> <span class="o">=</span> <span class="n">fp_out</span> <span class="o">+</span> <span class="s1">&#39;.tmp&#39;</span>
+                <span class="k">with</span> <span class="n">Solar</span><span class="p">(</span><span class="n">fp_set</span><span class="p">,</span> <span class="n">nsrdb_fp</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> <span class="k">as</span> <span class="n">solar</span><span class="p">:</span>
+                    <span class="n">solar</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">tmp_out</span><span class="p">,</span> <span class="n">features</span><span class="o">=</span><span class="n">features</span><span class="p">)</span>
+                <span class="n">os</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">tmp_out</span><span class="p">,</span> <span class="n">fp_out</span><span class="p">)</span></div>
+
+</pre></div>
+
+                </article>
+              
+
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+              
+
+<div id="jb-print-docs-body" class="onlyprint">
+    <h1></h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+        </div>
+    </div>
+</div>
+
+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <h1>Source code for sup3r.solar.solar_cli</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;sup3r solar CLI entry points.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">copy</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+
+<span class="kn">import</span> <span class="nn">click</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+<span class="kn">from</span> <span class="nn">sup3r</span> <span class="kn">import</span> <span class="n">__version__</span>
+<span class="kn">from</span> <span class="nn">sup3r.solar</span> <span class="kn">import</span> <span class="n">Solar</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities</span> <span class="kn">import</span> <span class="n">ModuleName</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.cli</span> <span class="kn">import</span> <span class="n">AVAILABLE_HARDWARE_OPTIONS</span><span class="p">,</span> <span class="n">BaseCLI</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<span class="nd">@click</span><span class="o">.</span><span class="n">group</span><span class="p">()</span>
+<span class="nd">@click</span><span class="o">.</span><span class="n">version_option</span><span class="p">(</span><span class="n">version</span><span class="o">=</span><span class="n">__version__</span><span class="p">)</span>
+<span class="nd">@click</span><span class="o">.</span><span class="n">option</span><span class="p">(</span>
+    <span class="s1">&#39;-v&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;--verbose&#39;</span><span class="p">,</span>
+    <span class="n">is_flag</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">help</span><span class="o">=</span><span class="s1">&#39;Flag to turn on debug logging. Default is not verbose.&#39;</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="nd">@click</span><span class="o">.</span><span class="n">pass_context</span>
+<span class="k">def</span> <span class="nf">main</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">verbose</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Sup3r Solar Command Line Interface&quot;&quot;&quot;</span>
+    <span class="n">ctx</span><span class="o">.</span><span class="n">ensure_object</span><span class="p">(</span><span class="nb">dict</span><span class="p">)</span>
+    <span class="n">ctx</span><span class="o">.</span><span class="n">obj</span><span class="p">[</span><span class="s1">&#39;VERBOSE&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">verbose</span>
+
+
+<span class="nd">@main</span><span class="o">.</span><span class="n">command</span><span class="p">()</span>
+<span class="nd">@click</span><span class="o">.</span><span class="n">option</span><span class="p">(</span>
+    <span class="s1">&#39;--config_file&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;-c&#39;</span><span class="p">,</span>
+    <span class="n">required</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="nb">type</span><span class="o">=</span><span class="n">click</span><span class="o">.</span><span class="n">Path</span><span class="p">(</span><span class="n">exists</span><span class="o">=</span><span class="kc">True</span><span class="p">),</span>
+    <span class="n">help</span><span class="o">=</span><span class="s1">&#39;sup3r solar configuration .json file.&#39;</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="nd">@click</span><span class="o">.</span><span class="n">option</span><span class="p">(</span>
+    <span class="s1">&#39;-v&#39;</span><span class="p">,</span>
+    <span class="s1">&#39;--verbose&#39;</span><span class="p">,</span>
+    <span class="n">is_flag</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+    <span class="n">help</span><span class="o">=</span><span class="s1">&#39;Flag to turn on debug logging. Default is not verbose.&#39;</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="nd">@click</span><span class="o">.</span><span class="n">pass_context</span>
+<span class="k">def</span> <span class="nf">from_config</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">config_file</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Run sup3r solar from a config file.&quot;&quot;&quot;</span>
+    <span class="n">config</span> <span class="o">=</span> <span class="n">BaseCLI</span><span class="o">.</span><span class="n">from_config_preflight</span><span class="p">(</span>
+        <span class="n">ModuleName</span><span class="o">.</span><span class="n">SOLAR</span><span class="p">,</span> <span class="n">ctx</span><span class="p">,</span> <span class="n">config_file</span><span class="p">,</span> <span class="n">verbose</span>
+    <span class="p">)</span>
+    <span class="n">exec_kwargs</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;execution_control&#39;</span><span class="p">,</span> <span class="p">{})</span>
+    <span class="n">hardware_option</span> <span class="o">=</span> <span class="n">exec_kwargs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">&#39;option&#39;</span><span class="p">,</span> <span class="s1">&#39;local&#39;</span><span class="p">)</span>
+    <span class="n">log_pattern</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;log_pattern&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+    <span class="n">fp_pattern</span> <span class="o">=</span> <span class="n">config</span><span class="p">[</span><span class="s1">&#39;fp_pattern&#39;</span><span class="p">]</span>
+    <span class="n">basename</span> <span class="o">=</span> <span class="n">config</span><span class="p">[</span><span class="s1">&#39;job_name&#39;</span><span class="p">]</span>
+    <span class="n">fp_sets</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">temporal_ids</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">Solar</span><span class="o">.</span><span class="n">get_sup3r_fps</span><span class="p">(</span><span class="n">fp_pattern</span><span class="p">)</span>
+    <span class="n">temporal_ids</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">temporal_ids</span><span class="p">))</span>
+    <span class="n">max_nodes</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;max_nodes&#39;</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">temporal_ids</span><span class="p">))</span>
+    <span class="n">max_nodes</span> <span class="o">=</span> <span class="nb">min</span><span class="p">((</span><span class="n">max_nodes</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">temporal_ids</span><span class="p">)))</span>
+    <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+        <span class="s1">&#39;Solar module found </span><span class="si">{}</span><span class="s1"> sets of chunked source files to run &#39;</span>
+        <span class="s1">&#39;on. Submitting to </span><span class="si">{}</span><span class="s1"> nodes based on the number of temporal &#39;</span>
+        <span class="s1">&#39;chunks </span><span class="si">{}</span><span class="s1"> and the requested number of nodes </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+            <span class="nb">len</span><span class="p">(</span><span class="n">fp_sets</span><span class="p">),</span>
+            <span class="n">max_nodes</span><span class="p">,</span>
+            <span class="nb">len</span><span class="p">(</span><span class="n">temporal_ids</span><span class="p">),</span>
+            <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;max_nodes&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">),</span>
+        <span class="p">)</span>
+    <span class="p">)</span>
+
+    <span class="n">temporal_id_chunks</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array_split</span><span class="p">(</span><span class="n">temporal_ids</span><span class="p">,</span> <span class="n">max_nodes</span><span class="p">)</span>
+    <span class="k">for</span> <span class="n">i_node</span><span class="p">,</span> <span class="n">temporal_ids</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">temporal_id_chunks</span><span class="p">):</span>
+        <span class="n">node_config</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">config</span><span class="p">)</span>
+        <span class="n">node_config</span><span class="p">[</span><span class="s1">&#39;log_file&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">log_pattern</span>
+            <span class="k">if</span> <span class="n">log_pattern</span> <span class="ow">is</span> <span class="kc">None</span>
+            <span class="k">else</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">normpath</span><span class="p">(</span><span class="n">log_pattern</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">node_index</span><span class="o">=</span><span class="n">i_node</span><span class="p">))</span>
+        <span class="p">)</span>
+        <span class="n">name</span> <span class="o">=</span> <span class="s1">&#39;</span><span class="si">{}</span><span class="s1">_</span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">basename</span><span class="p">,</span> <span class="nb">str</span><span class="p">(</span><span class="n">i_node</span><span class="p">)</span><span class="o">.</span><span class="n">zfill</span><span class="p">(</span><span class="mi">6</span><span class="p">))</span>
+        <span class="n">ctx</span><span class="o">.</span><span class="n">obj</span><span class="p">[</span><span class="s1">&#39;NAME&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">name</span>
+        <span class="n">node_config</span><span class="p">[</span><span class="s1">&#39;job_name&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">name</span>
+        <span class="n">node_config</span><span class="p">[</span><span class="s1">&#39;pipeline_step&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">pipeline_step</span>
+
+        <span class="n">node_config</span><span class="p">[</span><span class="s1">&#39;temporal_ids&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">temporal_ids</span><span class="p">)</span>
+        <span class="n">cmd</span> <span class="o">=</span> <span class="n">Solar</span><span class="o">.</span><span class="n">get_node_cmd</span><span class="p">(</span><span class="n">node_config</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">hardware_option</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">in</span> <span class="n">AVAILABLE_HARDWARE_OPTIONS</span><span class="p">:</span>
+            <span class="n">kickoff_slurm_job</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">cmd</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="p">,</span> <span class="o">**</span><span class="n">exec_kwargs</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">kickoff_local_job</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">cmd</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="kickoff_slurm_job">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.solar.solar_cli.kickoff_slurm_job.html#sup3r.solar.solar_cli.kickoff_slurm_job">[docs]</a>
+<span class="k">def</span> <span class="nf">kickoff_slurm_job</span><span class="p">(</span>
+    <span class="n">ctx</span><span class="p">,</span>
+    <span class="n">cmd</span><span class="p">,</span>
+    <span class="n">pipeline_step</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="n">alloc</span><span class="o">=</span><span class="s1">&#39;sup3r&#39;</span><span class="p">,</span>
+    <span class="n">memory</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="n">walltime</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span>
+    <span class="n">feature</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="n">stdout_path</span><span class="o">=</span><span class="s1">&#39;./stdout/&#39;</span><span class="p">,</span>
+<span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Run sup3r on HPC via SLURM job submission.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    ctx : click.pass_context</span>
+<span class="sd">        Click context object where ctx.obj is a dictionary</span>
+<span class="sd">    cmd : str</span>
+<span class="sd">        Command to be submitted in SLURM shell script. Example:</span>
+<span class="sd">            &#39;python -m sup3r.cli forward_pass -c &lt;config_file&gt;&#39;</span>
+<span class="sd">    pipeline_step : str, optional</span>
+<span class="sd">        Name of the pipeline step being run. If ``None``, the</span>
+<span class="sd">        ``pipeline_step`` will be set to the ``module_name``,</span>
+<span class="sd">        mimicking old reV behavior. By default, ``None``.</span>
+<span class="sd">    alloc : str</span>
+<span class="sd">        HPC project (allocation) handle. Example: &#39;sup3r&#39;.</span>
+<span class="sd">    memory : int</span>
+<span class="sd">        Node memory request in GB.</span>
+<span class="sd">    walltime : float</span>
+<span class="sd">        Node walltime request in hours.</span>
+<span class="sd">    feature : str</span>
+<span class="sd">        Additional flags for SLURM job. Format is &quot;--qos=high&quot;</span>
+<span class="sd">        or &quot;--depend=[state:job_id]&quot;. Default is None.</span>
+<span class="sd">    stdout_path : str</span>
+<span class="sd">        Path to print .stdout and .stderr files.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">BaseCLI</span><span class="o">.</span><span class="n">kickoff_slurm_job</span><span class="p">(</span>
+        <span class="n">ModuleName</span><span class="o">.</span><span class="n">SOLAR</span><span class="p">,</span>
+        <span class="n">ctx</span><span class="p">,</span>
+        <span class="n">cmd</span><span class="p">,</span>
+        <span class="n">alloc</span><span class="p">,</span>
+        <span class="n">memory</span><span class="p">,</span>
+        <span class="n">walltime</span><span class="p">,</span>
+        <span class="n">feature</span><span class="p">,</span>
+        <span class="n">stdout_path</span><span class="p">,</span>
+        <span class="n">pipeline_step</span><span class="p">,</span>
+    <span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="kickoff_local_job">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.solar.solar_cli.kickoff_local_job.html#sup3r.solar.solar_cli.kickoff_local_job">[docs]</a>
+<span class="k">def</span> <span class="nf">kickoff_local_job</span><span class="p">(</span><span class="n">ctx</span><span class="p">,</span> <span class="n">cmd</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Run sup3r solar locally.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    ctx : click.pass_context</span>
+<span class="sd">        Click context object where ctx.obj is a dictionary</span>
+<span class="sd">    cmd : str</span>
+<span class="sd">        Command to be submitted in shell script. Example:</span>
+<span class="sd">            &#39;python -m sup3r.cli forward_pass -c &lt;config_file&gt;&#39;</span>
+<span class="sd">    pipeline_step : str, optional</span>
+<span class="sd">        Name of the pipeline step being run. If ``None``, the</span>
+<span class="sd">        ``pipeline_step`` will be set to the ``module_name``,</span>
+<span class="sd">        mimicking old reV behavior. By default, ``None``.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">BaseCLI</span><span class="o">.</span><span class="n">kickoff_local_job</span><span class="p">(</span><span class="n">ModuleName</span><span class="o">.</span><span class="n">SOLAR</span><span class="p">,</span> <span class="n">ctx</span><span class="p">,</span> <span class="n">cmd</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="p">)</span></div>
+
+
+
+<span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s1">&#39;__main__&#39;</span><span class="p">:</span>
+    <span class="k">try</span><span class="p">:</span>
+        <span class="n">main</span><span class="p">(</span><span class="n">obj</span><span class="o">=</span><span class="p">{})</span>
+    <span class="k">except</span> <span class="ne">Exception</span><span class="p">:</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">exception</span><span class="p">(</span><span class="s1">&#39;Error running sup3r solar CLI&#39;</span><span class="p">)</span>
+        <span class="k">raise</span>
+</pre></div>
+
+                </article>
+              
+
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+</ul>
+</details></li>
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+<li class="toctree-l4"><a class="reference internal" href="../../_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesLoss.html">sup3r.utilities.loss_metrics.SpatialExtremesLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.html">sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../_autosummary/sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.html">sup3r.utilities.loss_metrics.SpatialFftOnlyLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.html">sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss</a></li>
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+</ul>
+</details></li>
+<li class="toctree-l3 has-children"><a class="reference internal" href="../../_autosummary/sup3r.utilities.pytest.html">sup3r.utilities.pytest</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1></h1>
+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
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+                <article class="bd-article">
+                  
+  <h1>Source code for sup3r.utilities</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Sup3r utilities&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">sys</span>
+<span class="kn">from</span> <span class="nn">enum</span> <span class="kn">import</span> <span class="n">Enum</span>
+
+<span class="kn">import</span> <span class="nn">cftime</span>
+<span class="kn">import</span> <span class="nn">dask</span>
+<span class="kn">import</span> <span class="nn">h5netcdf</span>
+<span class="kn">import</span> <span class="nn">netCDF4</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">phygnn</span>
+<span class="kn">import</span> <span class="nn">rex</span>
+<span class="kn">import</span> <span class="nn">sklearn</span>
+<span class="kn">import</span> <span class="nn">tensorflow</span> <span class="k">as</span> <span class="nn">tf</span>
+<span class="kn">import</span> <span class="nn">xarray</span>
+
+<span class="kn">from</span> <span class="nn">.._version</span> <span class="kn">import</span> <span class="n">__version__</span>
+
+<span class="n">VERSION_RECORD</span> <span class="o">=</span> <span class="p">{</span>
+    <span class="s1">&#39;sup3r&#39;</span><span class="p">:</span> <span class="n">__version__</span><span class="p">,</span>
+    <span class="s1">&#39;tensorflow&#39;</span><span class="p">:</span> <span class="n">tf</span><span class="o">.</span><span class="n">__version__</span><span class="p">,</span>
+    <span class="s1">&#39;sklearn&#39;</span><span class="p">:</span> <span class="n">sklearn</span><span class="o">.</span><span class="n">__version__</span><span class="p">,</span>
+    <span class="s1">&#39;pandas&#39;</span><span class="p">:</span> <span class="n">pd</span><span class="o">.</span><span class="n">__version__</span><span class="p">,</span>
+    <span class="s1">&#39;numpy&#39;</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">__version__</span><span class="p">,</span>
+    <span class="s1">&#39;nrel-phygnn&#39;</span><span class="p">:</span> <span class="n">phygnn</span><span class="o">.</span><span class="n">__version__</span><span class="p">,</span>
+    <span class="s1">&#39;nrel-rex&#39;</span><span class="p">:</span> <span class="n">rex</span><span class="o">.</span><span class="n">__version__</span><span class="p">,</span>
+    <span class="s1">&#39;python&#39;</span><span class="p">:</span> <span class="n">sys</span><span class="o">.</span><span class="n">version</span><span class="p">,</span>
+    <span class="s1">&#39;xarray&#39;</span><span class="p">:</span> <span class="n">xarray</span><span class="o">.</span><span class="n">__version__</span><span class="p">,</span>
+    <span class="s1">&#39;h5netcdf&#39;</span><span class="p">:</span> <span class="n">h5netcdf</span><span class="o">.</span><span class="n">__version__</span><span class="p">,</span>
+    <span class="s1">&#39;dask&#39;</span><span class="p">:</span> <span class="n">dask</span><span class="o">.</span><span class="n">__version__</span><span class="p">,</span>
+    <span class="s1">&#39;netCDF4&#39;</span><span class="p">:</span> <span class="n">netCDF4</span><span class="o">.</span><span class="n">__version__</span><span class="p">,</span>
+    <span class="s1">&#39;cftime&#39;</span><span class="p">:</span> <span class="n">cftime</span><span class="o">.</span><span class="n">__version__</span>
+<span class="p">}</span>
+
+
+<div class="viewcode-block" id="ModuleName">
+<a class="viewcode-back" href="../../_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName">[docs]</a>
+<span class="k">class</span> <span class="nc">ModuleName</span><span class="p">(</span><span class="nb">str</span><span class="p">,</span> <span class="n">Enum</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;A collection of the module names available in sup3r.</span>
+<span class="sd">    Each module name should match the name of the click command</span>
+<span class="sd">    that will be used to invoke its respective cli. As of 5/26/2022,</span>
+<span class="sd">    this means that all commands are lowercase with underscores</span>
+<span class="sd">    replaced by dashes.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">FORWARD_PASS</span> <span class="o">=</span> <span class="s1">&#39;forward-pass&#39;</span>
+    <span class="n">DATA_EXTRACT</span> <span class="o">=</span> <span class="s1">&#39;data-extract&#39;</span>
+    <span class="n">DATA_COLLECT</span> <span class="o">=</span> <span class="s1">&#39;data-collect&#39;</span>
+    <span class="n">QA</span> <span class="o">=</span> <span class="s1">&#39;qa&#39;</span>
+    <span class="n">SOLAR</span> <span class="o">=</span> <span class="s1">&#39;solar&#39;</span>
+    <span class="n">STATS</span> <span class="o">=</span> <span class="s1">&#39;stats&#39;</span>
+    <span class="n">BIAS_CALC</span> <span class="o">=</span> <span class="s1">&#39;bias-calc&#39;</span>
+    <span class="n">VISUAL_QA</span> <span class="o">=</span> <span class="s1">&#39;visual-qa&#39;</span>
+    <span class="n">REGRID</span> <span class="o">=</span> <span class="s1">&#39;regrid&#39;</span>
+
+    <span class="k">def</span> <span class="fm">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">value</span>
+
+    <span class="k">def</span> <span class="fm">__format__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">format_spec</span><span class="p">):</span>
+        <span class="k">return</span> <span class="nb">str</span><span class="o">.</span><span class="fm">__format__</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">value</span><span class="p">,</span> <span class="n">format_spec</span><span class="p">)</span>
+
+<div class="viewcode-block" id="ModuleName.all_names">
+<a class="viewcode-back" href="../../_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.all_names">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">all_names</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;All module names.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        set</span>
+<span class="sd">            The set of all module name strings.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="c1"># pylint: disable=no-member</span>
+        <span class="k">return</span> <span class="p">{</span><span class="n">v</span><span class="o">.</span><span class="n">value</span> <span class="k">for</span> <span class="n">v</span> <span class="ow">in</span> <span class="bp">cls</span><span class="o">.</span><span class="n">__members__</span><span class="o">.</span><span class="n">values</span><span class="p">()}</span></div>
+</div>
+
+</pre></div>
+
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+<li class="toctree-l4"><a class="reference internal" href="../../../_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.html">sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss</a></li>
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+  <h1>Source code for sup3r.utilities.cli</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Sup3r base CLI class.&quot;&quot;&quot;</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+
+<span class="kn">import</span> <span class="nn">click</span>
+<span class="kn">from</span> <span class="nn">gaps</span> <span class="kn">import</span> <span class="n">Status</span>
+<span class="kn">from</span> <span class="nn">gaps.config</span> <span class="kn">import</span> <span class="n">load_config</span>
+<span class="kn">from</span> <span class="nn">rex.utilities.execution</span> <span class="kn">import</span> <span class="n">SubprocessManager</span>
+<span class="kn">from</span> <span class="nn">rex.utilities.hpc</span> <span class="kn">import</span> <span class="n">SLURM</span>
+<span class="kn">from</span> <span class="nn">rex.utilities.loggers</span> <span class="kn">import</span> <span class="n">init_mult</span>
+
+<span class="kn">from</span> <span class="nn">.</span> <span class="kn">import</span> <span class="n">ModuleName</span>
+<span class="kn">from</span> <span class="nn">.utilities</span> <span class="kn">import</span> <span class="n">safe_serialize</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+<span class="n">AVAILABLE_HARDWARE_OPTIONS</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;kestrel&#39;</span><span class="p">,</span> <span class="s1">&#39;eagle&#39;</span><span class="p">,</span> <span class="s1">&#39;slurm&#39;</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="SlurmManager">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.cli.SlurmManager.html#sup3r.utilities.cli.SlurmManager">[docs]</a>
+<span class="k">class</span> <span class="nc">SlurmManager</span><span class="p">(</span><span class="n">SLURM</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;GAPs-compliant SLURM manager&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="SlurmManager.check_status_using_job_id">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.cli.SlurmManager.html#sup3r.utilities.cli.SlurmManager.check_status_using_job_id">[docs]</a>
+    <span class="k">def</span> <span class="nf">check_status_using_job_id</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">job_id</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check the status of a job using the HPC queue and job ID.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        job_id : int</span>
+<span class="sd">            Job integer ID number.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        status : str | None</span>
+<span class="sd">            Queue job status string or `None` if not found.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">check_status</span><span class="p">(</span><span class="n">job_id</span><span class="o">=</span><span class="n">job_id</span><span class="p">)</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="BaseCLI">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.cli.BaseCLI.html#sup3r.utilities.cli.BaseCLI">[docs]</a>
+<span class="k">class</span> <span class="nc">BaseCLI</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Base CLI class used to create CLI for modules in ModuleName&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="BaseCLI.from_config">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.cli.BaseCLI.html#sup3r.utilities.cli.BaseCLI.from_config">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">from_config</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">module_name</span><span class="p">,</span> <span class="n">module_class</span><span class="p">,</span> <span class="n">ctx</span><span class="p">,</span> <span class="n">config_file</span><span class="p">,</span> <span class="n">verbose</span><span class="p">,</span>
+                    <span class="n">pipeline_step</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Run sup3r module from a config file.</span>
+
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        module_name : str</span>
+<span class="sd">            Module name string from :class:`sup3r.utilities.ModuleName`.</span>
+<span class="sd">        module_class : Object</span>
+<span class="sd">            Class object used to call get_node_cmd(config).</span>
+<span class="sd">            e.g. Sup3rQa.get_node_cmd(config)</span>
+<span class="sd">        ctx : click.pass_context</span>
+<span class="sd">            Click context object where ctx.obj is a dictionary</span>
+<span class="sd">        config_file : str</span>
+<span class="sd">            Path to config file provided all needed inputs to module_class</span>
+<span class="sd">        verbose : bool</span>
+<span class="sd">            Whether to run in verbose mode.</span>
+<span class="sd">        pipeline_step : str, optional</span>
+<span class="sd">            Name of the pipeline step being run. If ``None``, the</span>
+<span class="sd">            ``pipeline_step`` will be set to the ``module_name``,</span>
+<span class="sd">            mimicking old reV behavior. By default, ``None``.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">config</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">from_config_preflight</span><span class="p">(</span>
+            <span class="n">module_name</span><span class="p">,</span> <span class="n">ctx</span><span class="p">,</span> <span class="n">config_file</span><span class="p">,</span> <span class="n">verbose</span>
+        <span class="p">)</span>
+        <span class="n">config</span><span class="p">[</span><span class="s1">&#39;pipeline_step&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">pipeline_step</span>
+
+        <span class="n">exec_kwargs</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;execution_control&#39;</span><span class="p">,</span> <span class="p">{})</span>
+        <span class="n">hardware_option</span> <span class="o">=</span> <span class="n">exec_kwargs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">&#39;option&#39;</span><span class="p">,</span> <span class="s1">&#39;local&#39;</span><span class="p">)</span>
+
+        <span class="n">cmd</span> <span class="o">=</span> <span class="n">module_class</span><span class="o">.</span><span class="n">get_node_cmd</span><span class="p">(</span><span class="n">config</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">hardware_option</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="ow">in</span> <span class="n">AVAILABLE_HARDWARE_OPTIONS</span><span class="p">:</span>
+            <span class="bp">cls</span><span class="o">.</span><span class="n">kickoff_slurm_job</span><span class="p">(</span><span class="n">module_name</span><span class="p">,</span> <span class="n">ctx</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="p">,</span> <span class="n">cmd</span><span class="p">,</span>
+                                  <span class="o">**</span><span class="n">exec_kwargs</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="bp">cls</span><span class="o">.</span><span class="n">kickoff_local_job</span><span class="p">(</span><span class="n">module_name</span><span class="p">,</span> <span class="n">ctx</span><span class="p">,</span> <span class="n">cmd</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="BaseCLI.from_config_preflight">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.cli.BaseCLI.html#sup3r.utilities.cli.BaseCLI.from_config_preflight">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">from_config_preflight</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">module_name</span><span class="p">,</span> <span class="n">ctx</span><span class="p">,</span> <span class="n">config_file</span><span class="p">,</span> <span class="n">verbose</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Parse conifg file prior to running sup3r module.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        module_name : str</span>
+<span class="sd">            Module name string from :class:`sup3r.utilities.ModuleName`.</span>
+<span class="sd">        module_class : Object</span>
+<span class="sd">            Class object used to call get_node_cmd(config).</span>
+<span class="sd">            e.g. Sup3rQa.get_node_cmd(config)</span>
+<span class="sd">        ctx : click.pass_context</span>
+<span class="sd">            Click context object where ctx.obj is a dictionary</span>
+<span class="sd">        config_file : str</span>
+<span class="sd">            Path to config file provided all needed inputs to module_class</span>
+<span class="sd">        verbose : bool</span>
+<span class="sd">            Whether to run in verbose mode.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        config : dict</span>
+<span class="sd">            Dictionary corresponding to config_file</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="bp">cls</span><span class="o">.</span><span class="n">check_module_name</span><span class="p">(</span><span class="n">module_name</span><span class="p">)</span>
+
+        <span class="n">ctx</span><span class="o">.</span><span class="n">ensure_object</span><span class="p">(</span><span class="nb">dict</span><span class="p">)</span>
+        <span class="n">ctx</span><span class="o">.</span><span class="n">obj</span><span class="p">[</span><span class="s1">&#39;VERBOSE&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">verbose</span>
+        <span class="n">status_dir</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">abspath</span><span class="p">(</span><span class="n">config_file</span><span class="p">))</span>
+        <span class="n">ctx</span><span class="o">.</span><span class="n">obj</span><span class="p">[</span><span class="s1">&#39;OUT_DIR&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">status_dir</span>
+        <span class="n">config</span> <span class="o">=</span> <span class="n">load_config</span><span class="p">(</span><span class="n">config_file</span><span class="p">)</span>
+        <span class="n">config</span><span class="p">[</span><span class="s1">&#39;status_dir&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">status_dir</span>
+        <span class="n">log_file</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;log_file&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="n">log_pattern</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;log_pattern&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="n">config_verbose</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;log_level&#39;</span><span class="p">,</span> <span class="s1">&#39;INFO&#39;</span><span class="p">)</span>
+        <span class="n">config_verbose</span> <span class="o">=</span> <span class="n">config_verbose</span> <span class="o">==</span> <span class="s1">&#39;DEBUG&#39;</span>
+        <span class="n">verbose</span> <span class="o">=</span> <span class="nb">any</span><span class="p">([</span><span class="n">verbose</span><span class="p">,</span> <span class="n">config_verbose</span><span class="p">,</span> <span class="n">ctx</span><span class="o">.</span><span class="n">obj</span><span class="p">[</span><span class="s1">&#39;VERBOSE&#39;</span><span class="p">]])</span>
+        <span class="n">exec_kwargs</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;execution_control&#39;</span><span class="p">,</span> <span class="p">{})</span>
+        <span class="n">hardware_option</span> <span class="o">=</span> <span class="n">exec_kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;option&#39;</span><span class="p">,</span> <span class="s1">&#39;local&#39;</span><span class="p">)</span>
+
+        <span class="n">log_dir</span> <span class="o">=</span> <span class="n">log_file</span> <span class="ow">or</span> <span class="n">log_pattern</span>
+        <span class="n">log_dir</span> <span class="o">=</span> <span class="n">log_dir</span> <span class="k">if</span> <span class="n">log_dir</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">log_dir</span><span class="p">)</span>
+
+        <span class="n">init_mult</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;sup3r_</span><span class="si">{</span><span class="n">module_name</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">&quot;-&quot;</span><span class="p">,</span><span class="w"> </span><span class="s2">&quot;_&quot;</span><span class="p">)</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">,</span>
+            <span class="n">log_dir</span><span class="p">,</span>
+            <span class="n">modules</span><span class="o">=</span><span class="p">[</span><span class="vm">__name__</span><span class="p">,</span> <span class="s1">&#39;sup3r&#39;</span><span class="p">],</span>
+            <span class="n">verbose</span><span class="o">=</span><span class="n">verbose</span><span class="p">,</span>
+        <span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">log_pattern</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">log_pattern</span><span class="p">),</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+            <span class="k">if</span> <span class="s1">&#39;.log&#39;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">log_pattern</span><span class="p">:</span>
+                <span class="n">log_pattern</span> <span class="o">+=</span> <span class="s1">&#39;.log&#39;</span>
+            <span class="k">if</span> <span class="s1">&#39;</span><span class="si">{node_index}</span><span class="s1">&#39;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">log_pattern</span><span class="p">:</span>
+                <span class="n">log_pattern</span> <span class="o">=</span> <span class="n">log_pattern</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;.log&#39;</span><span class="p">,</span> <span class="s1">&#39;_</span><span class="si">{node_index}</span><span class="s1">.log&#39;</span><span class="p">)</span>
+
+        <span class="n">exec_kwargs</span><span class="p">[</span><span class="s1">&#39;stdout_path&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">status_dir</span><span class="p">,</span> <span class="s1">&#39;stdout/&#39;</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Found execution kwargs: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">exec_kwargs</span><span class="p">))</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Hardware run option: &quot;</span><span class="si">{}</span><span class="s1">&quot;&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">hardware_option</span><span class="p">))</span>
+
+        <span class="n">name</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;sup3r_</span><span class="si">{</span><span class="n">module_name</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">&quot;-&quot;</span><span class="p">,</span><span class="w"> </span><span class="s2">&quot;_&quot;</span><span class="p">)</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="n">name</span> <span class="o">+=</span> <span class="s1">&#39;_</span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">basename</span><span class="p">(</span><span class="n">status_dir</span><span class="p">))</span>
+        <span class="n">job_name</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;job_name&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">job_name</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">name</span> <span class="o">=</span> <span class="n">job_name</span>
+        <span class="n">ctx</span><span class="o">.</span><span class="n">obj</span><span class="p">[</span><span class="s1">&#39;NAME&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">name</span>
+        <span class="n">config</span><span class="p">[</span><span class="s1">&#39;job_name&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">name</span>
+        <span class="n">config</span><span class="p">[</span><span class="s1">&#39;status_dir&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">status_dir</span>
+
+        <span class="k">return</span> <span class="n">config</span></div>
+
+
+<div class="viewcode-block" id="BaseCLI.check_module_name">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.cli.BaseCLI.html#sup3r.utilities.cli.BaseCLI.check_module_name">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">check_module_name</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">module_name</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Make sure module_name is a valid member of the ModuleName class&quot;&quot;&quot;</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Module name must be in ModuleName class. Received &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">module_name</span><span class="si">}</span><span class="s1">.&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="n">module_name</span> <span class="ow">in</span> <span class="n">ModuleName</span><span class="p">,</span> <span class="n">msg</span></div>
+
+
+<div class="viewcode-block" id="BaseCLI.kickoff_slurm_job">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.cli.BaseCLI.html#sup3r.utilities.cli.BaseCLI.kickoff_slurm_job">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">kickoff_slurm_job</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">module_name</span><span class="p">,</span>
+        <span class="n">ctx</span><span class="p">,</span>
+        <span class="n">cmd</span><span class="p">,</span>
+        <span class="n">alloc</span><span class="o">=</span><span class="s1">&#39;sup3r&#39;</span><span class="p">,</span>
+        <span class="n">memory</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">walltime</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span>
+        <span class="n">feature</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">stdout_path</span><span class="o">=</span><span class="s1">&#39;./stdout/&#39;</span><span class="p">,</span>
+        <span class="n">pipeline_step</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Run sup3r module on HPC via SLURM job submission.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        module_name : str</span>
+<span class="sd">            Module name string from :class:`sup3r.utilities.ModuleName`.</span>
+<span class="sd">        ctx : click.pass_context</span>
+<span class="sd">            Click context object where ctx.obj is a dictionary</span>
+<span class="sd">        cmd : str</span>
+<span class="sd">            Command to be submitted in SLURM shell script. Example:</span>
+<span class="sd">                &#39;python -m sup3r.cli &lt;module_name&gt; -c &lt;config_file&gt;&#39;</span>
+<span class="sd">        alloc : str</span>
+<span class="sd">            HPC project (allocation) handle. Example: &#39;sup3r&#39;.</span>
+<span class="sd">        memory : int</span>
+<span class="sd">            Node memory request in GB.</span>
+<span class="sd">        walltime : float</span>
+<span class="sd">            Node walltime request in hours.</span>
+<span class="sd">        feature : str</span>
+<span class="sd">            Additional flags for SLURM job. Format is &quot;--qos=high&quot;</span>
+<span class="sd">            or &quot;--depend=[state:job_id]&quot;. Default is None.</span>
+<span class="sd">        stdout_path : str</span>
+<span class="sd">            Path to print .stdout and .stderr files.</span>
+<span class="sd">        pipeline_step : str, optional</span>
+<span class="sd">            Name of the pipeline step being run. If ``None``, the</span>
+<span class="sd">            ``pipeline_step`` will be set to the ``module_name``,</span>
+<span class="sd">            mimicking old reV behavior. By default, ``None``.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="bp">cls</span><span class="o">.</span><span class="n">check_module_name</span><span class="p">(</span><span class="n">module_name</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">pipeline_step</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">pipeline_step</span> <span class="o">=</span> <span class="n">module_name</span>
+
+        <span class="n">name</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">obj</span><span class="p">[</span><span class="s1">&#39;NAME&#39;</span><span class="p">]</span>
+        <span class="n">out_dir</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">obj</span><span class="p">[</span><span class="s1">&#39;OUT_DIR&#39;</span><span class="p">]</span>
+        <span class="n">slurm_manager</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">obj</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;SLURM_MANAGER&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">slurm_manager</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">slurm_manager</span> <span class="o">=</span> <span class="n">SlurmManager</span><span class="p">()</span>
+            <span class="n">ctx</span><span class="o">.</span><span class="n">obj</span><span class="p">[</span><span class="s1">&#39;SLURM_MANAGER&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">slurm_manager</span>
+
+        <span class="n">status</span> <span class="o">=</span> <span class="n">Status</span><span class="o">.</span><span class="n">retrieve_job_status</span><span class="p">(</span>
+            <span class="n">out_dir</span><span class="p">,</span>
+            <span class="n">pipeline_step</span><span class="o">=</span><span class="n">pipeline_step</span><span class="p">,</span>
+            <span class="n">job_name</span><span class="o">=</span><span class="n">name</span><span class="p">,</span>
+            <span class="n">subprocess_manager</span><span class="o">=</span><span class="n">slurm_manager</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="n">job_failed</span> <span class="o">=</span> <span class="s1">&#39;fail&#39;</span> <span class="ow">in</span> <span class="nb">str</span><span class="p">(</span><span class="n">status</span><span class="p">)</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span>
+        <span class="n">job_submitted</span> <span class="o">=</span> <span class="n">status</span> <span class="o">!=</span> <span class="s1">&#39;not submitted&#39;</span>
+
+        <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;sup3r </span><span class="si">{</span><span class="n">module_name</span><span class="si">}</span><span class="s1"> CLI failed to submit jobs!&#39;</span>
+        <span class="k">if</span> <span class="n">status</span> <span class="o">==</span> <span class="s1">&#39;successful&#39;</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;Job &quot;</span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s1">&quot; is successful in status json found in &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;&quot;</span><span class="si">{</span><span class="n">out_dir</span><span class="si">}</span><span class="s1">&quot;, not re-running.&#39;</span>
+            <span class="p">)</span>
+        <span class="k">elif</span> <span class="ow">not</span> <span class="n">job_failed</span> <span class="ow">and</span> <span class="n">job_submitted</span> <span class="ow">and</span> <span class="n">status</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;Job &quot;</span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s1">&quot; was found with status &quot;</span><span class="si">{</span><span class="n">status</span><span class="si">}</span><span class="s1">&quot;, not &#39;</span>
+                <span class="s1">&#39;resubmitting&#39;</span>
+            <span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">job_info</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">module_name</span><span class="si">}</span><span class="s2">&quot;</span>
+            <span class="k">if</span> <span class="n">pipeline_step</span> <span class="o">!=</span> <span class="n">module_name</span><span class="p">:</span>
+                <span class="n">job_info</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">job_info</span><span class="si">}</span><span class="s2"> (pipeline step </span><span class="si">{</span><span class="n">pipeline_step</span><span class="si">!r}</span><span class="s2">)&quot;</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;Running sup3r </span><span class="si">{</span><span class="n">job_info</span><span class="si">}</span><span class="s1"> on SLURM with node &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;name &quot;</span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s1">&quot;.&#39;</span>
+            <span class="p">)</span>
+            <span class="n">out</span> <span class="o">=</span> <span class="n">slurm_manager</span><span class="o">.</span><span class="n">sbatch</span><span class="p">(</span>
+                <span class="n">cmd</span><span class="p">,</span>
+                <span class="n">alloc</span><span class="o">=</span><span class="n">alloc</span><span class="p">,</span>
+                <span class="n">memory</span><span class="o">=</span><span class="n">memory</span><span class="p">,</span>
+                <span class="n">walltime</span><span class="o">=</span><span class="n">walltime</span><span class="p">,</span>
+                <span class="n">feature</span><span class="o">=</span><span class="n">feature</span><span class="p">,</span>
+                <span class="n">name</span><span class="o">=</span><span class="n">name</span><span class="p">,</span>
+                <span class="n">stdout_path</span><span class="o">=</span><span class="n">stdout_path</span><span class="p">,</span>
+            <span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
+            <span class="k">if</span> <span class="n">out</span><span class="p">:</span>
+                <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                    <span class="sa">f</span><span class="s1">&#39;Kicked off sup3r </span><span class="si">{</span><span class="n">job_info</span><span class="si">}</span><span class="s1"> job &quot;</span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s1">&quot; &#39;</span>
+                    <span class="sa">f</span><span class="s1">&#39;(SLURM jobid #</span><span class="si">{</span><span class="n">out</span><span class="si">}</span><span class="s1">).&#39;</span>
+                <span class="p">)</span>
+
+            <span class="c1"># add job to sup3r status file.</span>
+            <span class="n">Status</span><span class="o">.</span><span class="n">mark_job_as_submitted</span><span class="p">(</span>
+                <span class="n">out_dir</span><span class="p">,</span>
+                <span class="n">pipeline_step</span><span class="o">=</span><span class="n">pipeline_step</span><span class="p">,</span>
+                <span class="n">job_name</span><span class="o">=</span><span class="n">name</span><span class="p">,</span>
+                <span class="n">replace</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+                <span class="n">job_attrs</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;job_id&#39;</span><span class="p">:</span> <span class="n">out</span><span class="p">,</span> <span class="s1">&#39;hardware&#39;</span><span class="p">:</span> <span class="s1">&#39;kestrel&#39;</span><span class="p">},</span>
+            <span class="p">)</span>
+
+        <span class="n">click</span><span class="o">.</span><span class="n">echo</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="BaseCLI.kickoff_local_job">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.cli.BaseCLI.html#sup3r.utilities.cli.BaseCLI.kickoff_local_job">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">kickoff_local_job</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">module_name</span><span class="p">,</span> <span class="n">ctx</span><span class="p">,</span> <span class="n">cmd</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Run sup3r module locally.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        module_name : str</span>
+<span class="sd">            Module name string from :class:`sup3r.utilities.ModuleName`.</span>
+<span class="sd">        ctx : click.pass_context</span>
+<span class="sd">            Click context object where ctx.obj is a dictionary</span>
+<span class="sd">        cmd : str</span>
+<span class="sd">            Command to be submitted in shell script. Example:</span>
+<span class="sd">                &#39;python -m sup3r.cli &lt;module_name&gt; -c &lt;config_file&gt;&#39;</span>
+<span class="sd">        pipeline_step : str, optional</span>
+<span class="sd">            Name of the pipeline step being run. If ``None``, the</span>
+<span class="sd">            ``pipeline_step`` will be set to the ``module_name``,</span>
+<span class="sd">            mimicking old reV behavior. By default, ``None``.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="bp">cls</span><span class="o">.</span><span class="n">check_module_name</span><span class="p">(</span><span class="n">module_name</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">pipeline_step</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">pipeline_step</span> <span class="o">=</span> <span class="n">module_name</span>
+
+        <span class="n">name</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">obj</span><span class="p">[</span><span class="s1">&#39;NAME&#39;</span><span class="p">]</span>
+        <span class="n">out_dir</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">obj</span><span class="p">[</span><span class="s1">&#39;OUT_DIR&#39;</span><span class="p">]</span>
+        <span class="n">subprocess_manager</span> <span class="o">=</span> <span class="n">SubprocessManager</span>
+
+        <span class="n">status</span> <span class="o">=</span> <span class="n">Status</span><span class="o">.</span><span class="n">retrieve_job_status</span><span class="p">(</span>
+            <span class="n">out_dir</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="o">=</span><span class="n">pipeline_step</span><span class="p">,</span> <span class="n">job_name</span><span class="o">=</span><span class="n">name</span>
+        <span class="p">)</span>
+        <span class="n">job_failed</span> <span class="o">=</span> <span class="s1">&#39;fail&#39;</span> <span class="ow">in</span> <span class="nb">str</span><span class="p">(</span><span class="n">status</span><span class="p">)</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span>
+        <span class="n">job_submitted</span> <span class="o">=</span> <span class="n">status</span> <span class="o">!=</span> <span class="s1">&#39;not submitted&#39;</span>
+
+        <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;sup3r </span><span class="si">{</span><span class="n">module_name</span><span class="si">}</span><span class="s1"> CLI failed to submit jobs!&#39;</span>
+        <span class="k">if</span> <span class="n">status</span> <span class="o">==</span> <span class="s1">&#39;successful&#39;</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;Job &quot;</span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s1">&quot; is successful in status json found in &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;&quot;</span><span class="si">{</span><span class="n">out_dir</span><span class="si">}</span><span class="s1">&quot;, not re-running.&#39;</span>
+            <span class="p">)</span>
+        <span class="k">elif</span> <span class="ow">not</span> <span class="n">job_failed</span> <span class="ow">and</span> <span class="n">job_submitted</span> <span class="ow">and</span> <span class="n">status</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;Job &quot;</span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s1">&quot; was found with status &quot;</span><span class="si">{</span><span class="n">status</span><span class="si">}</span><span class="s1">&quot;, not &#39;</span>
+                <span class="s1">&#39;resubmitting&#39;</span>
+            <span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">job_info</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">module_name</span><span class="si">}</span><span class="s2">&quot;</span>
+            <span class="k">if</span> <span class="n">pipeline_step</span> <span class="o">!=</span> <span class="n">module_name</span><span class="p">:</span>
+                <span class="n">job_info</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">job_info</span><span class="si">}</span><span class="s2"> (pipeline step </span><span class="si">{</span><span class="n">pipeline_step</span><span class="si">!r}</span><span class="s2">)&quot;</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;Running sup3r </span><span class="si">{</span><span class="n">job_info</span><span class="si">}</span><span class="s1"> locally with job &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;name &quot;</span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s1">&quot;.&#39;</span>
+            <span class="p">)</span>
+            <span class="n">Status</span><span class="o">.</span><span class="n">mark_job_as_submitted</span><span class="p">(</span>
+                <span class="n">out_dir</span><span class="p">,</span>
+                <span class="n">pipeline_step</span><span class="o">=</span><span class="n">pipeline_step</span><span class="p">,</span>
+                <span class="n">job_name</span><span class="o">=</span><span class="n">name</span><span class="p">,</span>
+                <span class="n">replace</span><span class="o">=</span><span class="kc">True</span>
+            <span class="p">)</span>
+            <span class="n">subprocess_manager</span><span class="o">.</span><span class="n">submit</span><span class="p">(</span><span class="n">cmd</span><span class="p">)</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;Completed sup3r </span><span class="si">{</span><span class="n">job_info</span><span class="si">}</span><span class="s1"> job &quot;</span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s1">&quot;.&#39;</span>
+
+        <span class="n">click</span><span class="o">.</span><span class="n">echo</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="BaseCLI.add_status_cmd">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.cli.BaseCLI.html#sup3r.utilities.cli.BaseCLI.add_status_cmd">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">add_status_cmd</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">config</span><span class="p">,</span> <span class="n">pipeline_step</span><span class="p">,</span> <span class="n">cmd</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Append status file command to command for executing given module</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        config : dict</span>
+<span class="sd">            sup3r config with all necessary args and kwargs to run given</span>
+<span class="sd">            module.</span>
+<span class="sd">        pipeline_step : str</span>
+<span class="sd">            Name of the pipeline step being run.</span>
+<span class="sd">        cmd : str</span>
+<span class="sd">            String including command to execute given module.</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        cmd : str</span>
+<span class="sd">            Command string with status file command included if job_name is</span>
+<span class="sd">            not None</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">job_name</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;job_name&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="n">status_dir</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;status_dir&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">job_name</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">status_dir</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">status_file_arg_str</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;&quot;</span><span class="si">{</span><span class="n">status_dir</span><span class="si">}</span><span class="s1">&quot;, &#39;</span>
+            <span class="n">status_file_arg_str</span> <span class="o">+=</span> <span class="sa">f</span><span class="s1">&#39;pipeline_step=&quot;</span><span class="si">{</span><span class="n">pipeline_step</span><span class="si">}</span><span class="s1">&quot;, &#39;</span>
+            <span class="n">status_file_arg_str</span> <span class="o">+=</span> <span class="sa">f</span><span class="s1">&#39;job_name=&quot;</span><span class="si">{</span><span class="n">job_name</span><span class="si">}</span><span class="s1">&quot;, &#39;</span>
+            <span class="n">status_file_arg_str</span> <span class="o">+=</span> <span class="s1">&#39;attrs=job_attrs&#39;</span>
+
+            <span class="n">cmd</span> <span class="o">+=</span> <span class="s1">&#39;job_attrs = </span><span class="si">{}</span><span class="s1">;</span><span class="se">\n</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">safe_serialize</span><span class="p">(</span><span class="n">config</span><span class="p">)</span>
+                <span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">&quot;null&quot;</span><span class="p">,</span> <span class="s2">&quot;None&quot;</span><span class="p">)</span>
+                <span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">&quot;false&quot;</span><span class="p">,</span> <span class="s2">&quot;False&quot;</span><span class="p">)</span>
+                <span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">&quot;true&quot;</span><span class="p">,</span> <span class="s2">&quot;True&quot;</span><span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">cmd</span> <span class="o">+=</span> <span class="s1">&#39;job_attrs.update({&quot;job_status&quot;: &quot;successful&quot;});</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="n">cmd</span> <span class="o">+=</span> <span class="s1">&#39;job_attrs.update({&quot;time&quot;: t_elap});</span><span class="se">\n</span><span class="s1">&#39;</span>
+            <span class="n">cmd</span> <span class="o">+=</span> <span class="sa">f</span><span class="s2">&quot;Status.make_single_job_file(</span><span class="si">{</span><span class="n">status_file_arg_str</span><span class="si">}</span><span class="s2">)&quot;</span>
+
+        <span class="n">cmd_log</span> <span class="o">=</span> <span class="s1">&#39;</span><span class="se">\n\t</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">cmd</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;</span><span class="se">\n</span><span class="s1">&#39;</span><span class="p">))</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Running command:</span><span class="se">\n\t</span><span class="si">{</span><span class="n">cmd_log</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">cmd</span></div>
+</div>
+
+</pre></div>
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
+                  
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+          <footer class="bd-footer-content">
+            
+<div class="bd-footer-content__inner container">
+  
+  <div class="footer-item">
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+By Brandon Benton, Grant Buster, Andrew Glaws, Ryan King
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diff --git a/_modules/sup3r/utilities/era_downloader.html b/_modules/sup3r/utilities/era_downloader.html
new file mode 100644
index 000000000..3bdbefc83
--- /dev/null
+++ b/_modules/sup3r/utilities/era_downloader.html
@@ -0,0 +1,1613 @@
+
+<!DOCTYPE html>
+
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+<html lang="en" data-content_root="../../../" >
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+                  
+  <h1>Source code for sup3r.utilities.era_downloader</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Download ERA5 file for the given year and month</span>
+
+<span class="sd">Note</span>
+<span class="sd">----</span>
+<span class="sd">To use this you need to have ``cdsapi`` package installed and a ``~/.cdsapirc``</span>
+<span class="sd">file with a url and api key. Follow the instructions here:</span>
+<span class="sd">https://cds.climate.copernicus.eu/how-to-api</span>
+<span class="sd">&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">import</span> <span class="nn">pprint</span>
+<span class="kn">from</span> <span class="nn">calendar</span> <span class="kn">import</span> <span class="n">monthrange</span>
+<span class="kn">from</span> <span class="nn">warnings</span> <span class="kn">import</span> <span class="n">warn</span>
+
+<span class="kn">import</span> <span class="nn">dask</span>
+<span class="kn">import</span> <span class="nn">dask.array</span> <span class="k">as</span> <span class="nn">da</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">from</span> <span class="nn">rex</span> <span class="kn">import</span> <span class="n">init_logger</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing</span> <span class="kn">import</span> <span class="n">Cacher</span><span class="p">,</span> <span class="n">Loader</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.loaders.utilities</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">standardize_names</span><span class="p">,</span>
+    <span class="n">standardize_values</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.names</span> <span class="kn">import</span> <span class="p">(</span>
+    <span class="n">ERA_NAME_MAP</span><span class="p">,</span>
+    <span class="n">LEVEL_VARS</span><span class="p">,</span>
+    <span class="n">SFC_VARS</span><span class="p">,</span>
+    <span class="n">Dimension</span><span class="p">,</span>
+<span class="p">)</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.utilities</span> <span class="kn">import</span> <span class="n">log_args</span>
+
+<span class="c1"># these are occasionally included in downloaded files, more often with cds-beta</span>
+<span class="n">IGNORE_VARS</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;number&#39;</span><span class="p">,</span> <span class="s1">&#39;expver&#39;</span><span class="p">)</span>
+
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="EraDownloader">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader">[docs]</a>
+<span class="k">class</span> <span class="nc">EraDownloader</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Class to handle ERA5 downloading, variable renaming, and file</span>
+<span class="sd">    combinations.&quot;&quot;&quot;</span>
+
+    <span class="nd">@log_args</span>
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">year</span><span class="p">,</span>
+        <span class="n">month</span><span class="p">,</span>
+        <span class="n">area</span><span class="p">,</span>
+        <span class="n">levels</span><span class="p">,</span>
+        <span class="n">file_pattern</span><span class="p">,</span>
+        <span class="n">overwrite</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+        <span class="n">variables</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">product_type</span><span class="o">=</span><span class="s1">&#39;reanalysis&#39;</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize the class.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        year : int</span>
+<span class="sd">            Year of data to download.</span>
+<span class="sd">        month : int</span>
+<span class="sd">            Month of data to download.</span>
+<span class="sd">        area : list</span>
+<span class="sd">            Domain area of the data to download.</span>
+<span class="sd">            [max_lat, min_lon, min_lat, max_lon]</span>
+<span class="sd">        levels : list</span>
+<span class="sd">            List of pressure levels to download.</span>
+<span class="sd">        file_pattern : str</span>
+<span class="sd">            Pattern for combined monthly output file. Must include year and</span>
+<span class="sd">            month format keys.  e.g. &#39;era5_{year}_{month}_combined.nc&#39;</span>
+<span class="sd">        overwrite : bool</span>
+<span class="sd">            Whether to overwrite existing files.</span>
+<span class="sd">        variables : list | None</span>
+<span class="sd">            Variables to download. If None this defaults to just gepotential</span>
+<span class="sd">            and wind components.</span>
+<span class="sd">        product_type : str</span>
+<span class="sd">            Can be &#39;reanalysis&#39;, &#39;ensemble_mean&#39;, &#39;ensemble_spread&#39;,</span>
+<span class="sd">            &#39;ensemble_members&#39;, &#39;monthly_averaged_reanalysis&#39;,</span>
+<span class="sd">            &#39;monthly_averaged_ensemble_members&#39;</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">year</span> <span class="o">=</span> <span class="n">year</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">month</span> <span class="o">=</span> <span class="n">month</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">area</span> <span class="o">=</span> <span class="n">area</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">levels</span> <span class="o">=</span> <span class="n">levels</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">overwrite</span> <span class="o">=</span> <span class="n">overwrite</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">file_pattern</span> <span class="o">=</span> <span class="n">file_pattern</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_variables</span> <span class="o">=</span> <span class="n">variables</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">sfc_file_variables</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">level_file_variables</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">prep_var_lists</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">variables</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">product_type</span> <span class="o">=</span> <span class="n">product_type</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">hours</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_hours</span><span class="p">()</span>
+
+<div class="viewcode-block" id="EraDownloader.get_hours">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.get_hours">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_hours</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;ERA5 is hourly and EDA is 3-hourly. Check and warn for incompatible</span>
+<span class="sd">        requests.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">product_type</span> <span class="ow">in</span> <span class="p">(</span>
+            <span class="s1">&#39;monthly_averaged_reanalysis&#39;</span><span class="p">,</span>
+            <span class="s1">&#39;monthly_averaged_ensemble_members&#39;</span><span class="p">,</span>
+        <span class="p">):</span>
+            <span class="n">hours</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;00:00&#39;</span><span class="p">]</span>
+        <span class="k">elif</span> <span class="bp">self</span><span class="o">.</span><span class="n">product_type</span> <span class="ow">in</span> <span class="p">(</span>
+            <span class="s1">&#39;reanalysis&#39;</span><span class="p">,</span>
+            <span class="s1">&#39;monthly_averaged_reanalysis_by_hour_of_day&#39;</span><span class="p">,</span>
+        <span class="p">):</span>
+            <span class="n">hours</span> <span class="o">=</span> <span class="p">[</span><span class="nb">str</span><span class="p">(</span><span class="n">n</span><span class="p">)</span><span class="o">.</span><span class="n">zfill</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span> <span class="o">+</span> <span class="s1">&#39;:00&#39;</span> <span class="k">for</span> <span class="n">n</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">24</span><span class="p">)]</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">hours</span> <span class="o">=</span> <span class="p">[</span><span class="nb">str</span><span class="p">(</span><span class="n">n</span><span class="p">)</span><span class="o">.</span><span class="n">zfill</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span> <span class="o">+</span> <span class="s1">&#39;:00&#39;</span> <span class="k">for</span> <span class="n">n</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">24</span><span class="p">,</span> <span class="mi">3</span><span class="p">)]</span>
+        <span class="k">return</span> <span class="n">hours</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">variables</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get list of requested variables&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_variables</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="k">raise</span> <span class="ne">OSError</span><span class="p">(</span><span class="s1">&#39;Received empty variable list.&#39;</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_variables</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">days</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get list of days for the requested month&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">[</span>
+            <span class="nb">str</span><span class="p">(</span><span class="n">n</span><span class="p">)</span><span class="o">.</span><span class="n">zfill</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
+            <span class="k">for</span> <span class="n">n</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">monthrange</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">year</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">month</span><span class="p">)[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+        <span class="p">]</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">monthly_file</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Name of file with all surface and level variables for a given month</span>
+<span class="sd">        and year.&quot;&quot;&quot;</span>
+        <span class="n">monthly_file</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">file_pattern</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span>
+            <span class="s1">&#39;</span><span class="si">{var}</span><span class="s1">&#39;</span><span class="p">,</span> <span class="s1">&#39;_&#39;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">variables</span><span class="p">)</span>
+        <span class="p">)</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">year</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">year</span><span class="p">,</span> <span class="n">month</span><span class="o">=</span><span class="nb">str</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">month</span><span class="p">)</span><span class="o">.</span><span class="n">zfill</span><span class="p">(</span><span class="mi">2</span><span class="p">))</span>
+        <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">monthly_file</span><span class="p">),</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">monthly_file</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">surface_file</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get name of file with variables from single level download&quot;&quot;&quot;</span>
+        <span class="n">basedir</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">monthly_file</span><span class="p">)</span>
+        <span class="n">basename</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">basename</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">monthly_file</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">basedir</span><span class="p">,</span> <span class="sa">f</span><span class="s1">&#39;sfc_</span><span class="si">{</span><span class="n">basename</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">level_file</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get name of file with variables from pressure level download&quot;&quot;&quot;</span>
+        <span class="n">basedir</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">monthly_file</span><span class="p">)</span>
+        <span class="n">basename</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">basename</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">monthly_file</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">basedir</span><span class="p">,</span> <span class="sa">f</span><span class="s1">&#39;level_</span><span class="si">{</span><span class="n">basename</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+
+<div class="viewcode-block" id="EraDownloader.get_tmp_file">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.get_tmp_file">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">get_tmp_file</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">file</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get temp file for given file. Then only needed variables will be</span>
+<span class="sd">        written to the given file.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">tmp_file</span> <span class="o">=</span> <span class="n">file</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;.nc&#39;</span><span class="p">,</span> <span class="s1">&#39;_tmp.nc&#39;</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">tmp_file</span></div>
+
+
+    <span class="k">def</span> <span class="nf">_prep_var_lists</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">variables</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Add all downloadable variables for the generic requested variables.</span>
+<span class="sd">        e.g. if variable = &#39;u&#39; add all downloadable u variables to list.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">d_vars</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">var_list</span> <span class="o">=</span> <span class="n">variables</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+        <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">var_list</span><span class="p">):</span>
+            <span class="k">if</span> <span class="n">v</span> <span class="ow">in</span> <span class="p">(</span><span class="s1">&#39;u&#39;</span><span class="p">,</span> <span class="s1">&#39;v&#39;</span><span class="p">):</span>
+                <span class="n">var_list</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">v</span><span class="si">}</span><span class="s1">_&#39;</span>
+
+        <span class="n">all_vars</span> <span class="o">=</span> <span class="n">SFC_VARS</span> <span class="o">+</span> <span class="n">LEVEL_VARS</span> <span class="o">+</span> <span class="p">[</span><span class="s1">&#39;zg&#39;</span><span class="p">,</span> <span class="s1">&#39;orog&#39;</span><span class="p">]</span>
+        <span class="k">for</span> <span class="n">var</span> <span class="ow">in</span> <span class="n">var_list</span><span class="p">:</span>
+            <span class="n">d_vars</span><span class="o">.</span><span class="n">extend</span><span class="p">([</span><span class="n">d_var</span> <span class="k">for</span> <span class="n">d_var</span> <span class="ow">in</span> <span class="n">all_vars</span> <span class="k">if</span> <span class="n">var</span> <span class="ow">in</span> <span class="n">d_var</span><span class="p">])</span>
+        <span class="k">return</span> <span class="n">d_vars</span>
+
+<div class="viewcode-block" id="EraDownloader.prep_var_lists">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.prep_var_lists">[docs]</a>
+    <span class="k">def</span> <span class="nf">prep_var_lists</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">variables</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Create surface and level variable lists based on requested</span>
+<span class="sd">        variables.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">variables</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_prep_var_lists</span><span class="p">(</span><span class="n">variables</span><span class="p">)</span>
+        <span class="k">for</span> <span class="n">var</span> <span class="ow">in</span> <span class="n">variables</span><span class="p">:</span>
+            <span class="k">if</span> <span class="n">var</span> <span class="ow">in</span> <span class="n">SFC_VARS</span> <span class="ow">and</span> <span class="n">var</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">sfc_file_variables</span><span class="p">:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">sfc_file_variables</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">var</span><span class="p">)</span>
+            <span class="k">elif</span> <span class="n">var</span> <span class="ow">in</span> <span class="n">LEVEL_VARS</span> <span class="ow">and</span> <span class="n">var</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">level_file_variables</span><span class="p">:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">level_file_variables</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">var</span><span class="p">)</span>
+            <span class="k">elif</span> <span class="n">var</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">SFC_VARS</span> <span class="o">+</span> <span class="n">LEVEL_VARS</span> <span class="o">+</span> <span class="p">[</span><span class="s1">&#39;zg&#39;</span><span class="p">,</span> <span class="s1">&#39;orog&#39;</span><span class="p">]:</span>
+                <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;Requested </span><span class="si">{</span><span class="n">var</span><span class="si">}</span><span class="s1"> is not available for download.&#39;</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="n">sfc_and_level_check</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sfc_file_variables</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span>
+            <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">level_file_variables</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span>
+            <span class="ow">and</span> <span class="s1">&#39;orog&#39;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">variables</span>
+            <span class="ow">and</span> <span class="s1">&#39;zg&#39;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">variables</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="n">sfc_and_level_check</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Both surface and pressure level variables were requested &#39;</span>
+                <span class="s1">&#39;without requesting &quot;orog&quot; and &quot;zg&quot;. Adding these to the &#39;</span>
+                <span class="s1">&#39;download&#39;</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">sfc_file_variables</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="s1">&#39;geopotential&#39;</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">level_file_variables</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="s1">&#39;geopotential&#39;</span><span class="p">)</span>
+
+        <span class="k">else</span><span class="p">:</span>
+            <span class="k">if</span> <span class="s1">&#39;orog&#39;</span> <span class="ow">in</span> <span class="n">variables</span><span class="p">:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">sfc_file_variables</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="s1">&#39;geopotential&#39;</span><span class="p">)</span>
+            <span class="k">if</span> <span class="s1">&#39;zg&#39;</span> <span class="ow">in</span> <span class="n">variables</span><span class="p">:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">level_file_variables</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="s1">&#39;geopotential&#39;</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="EraDownloader.get_cds_client">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.get_cds_client">[docs]</a>
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">get_cds_client</span><span class="p">():</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the copernicus climate data store (CDS) API object for ERA</span>
+<span class="sd">        downloads.&quot;&quot;&quot;</span>
+
+        <span class="k">try</span><span class="p">:</span>
+            <span class="kn">import</span> <span class="nn">cdsapi</span>  <span class="c1"># noqa</span>
+        <span class="k">except</span> <span class="ne">ImportError</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;Could not import cdsapi package. </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="k">raise</span> <span class="ne">ImportError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span>
+
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;To download ERA5 data you need to have a ~/.cdsapirc file &#39;</span>
+            <span class="s1">&#39;with a valid url and api key. Follow the instructions here: &#39;</span>
+            <span class="s1">&#39;https://cds.climate.copernicus.eu/how-to-api&#39;</span>
+        <span class="p">)</span>
+        <span class="n">req_file</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">expanduser</span><span class="p">(</span><span class="s1">&#39;~&#39;</span><span class="p">),</span> <span class="s1">&#39;.cdsapirc&#39;</span><span class="p">)</span>
+        <span class="k">assert</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">req_file</span><span class="p">),</span> <span class="n">msg</span>
+
+        <span class="k">return</span> <span class="n">cdsapi</span><span class="o">.</span><span class="n">Client</span><span class="p">()</span></div>
+
+
+<div class="viewcode-block" id="EraDownloader.download_process_combine">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.download_process_combine">[docs]</a>
+    <span class="k">def</span> <span class="nf">download_process_combine</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Run the download routine.&quot;&quot;&quot;</span>
+        <span class="n">sfc_check</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sfc_file_variables</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span>
+        <span class="n">level_check</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">level_file_variables</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span>
+            <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">levels</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
+            <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">levels</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">level_file_variables</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">level_file_variables</span><span class="si">}</span><span class="s1"> requested but no levels&#39;</span>
+                <span class="s1">&#39; were provided.&#39;</span>
+            <span class="p">)</span>
+            <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">levels</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="n">time_dict</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="s1">&#39;year&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">year</span><span class="p">,</span>
+            <span class="s1">&#39;month&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">month</span><span class="p">,</span>
+            <span class="s1">&#39;time&#39;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">hours</span><span class="p">,</span>
+        <span class="p">}</span>
+        <span class="k">if</span> <span class="s1">&#39;monthly&#39;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">product_type</span><span class="p">:</span>
+            <span class="n">time_dict</span><span class="p">[</span><span class="s1">&#39;day&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">days</span>
+
+        <span class="k">if</span> <span class="n">sfc_check</span><span class="p">:</span>
+            <span class="n">tmp_file</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_tmp_file</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">surface_file</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">download_file</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">sfc_file_variables</span><span class="p">,</span>
+                <span class="n">time_dict</span><span class="o">=</span><span class="n">time_dict</span><span class="p">,</span>
+                <span class="n">area</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">area</span><span class="p">,</span>
+                <span class="n">out_file</span><span class="o">=</span><span class="n">tmp_file</span><span class="p">,</span>
+                <span class="n">level_type</span><span class="o">=</span><span class="s1">&#39;single&#39;</span><span class="p">,</span>
+                <span class="n">overwrite</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">overwrite</span><span class="p">,</span>
+                <span class="n">product_type</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">product_type</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="n">os</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">tmp_file</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">surface_file</span><span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Moved </span><span class="si">%s</span><span class="s1"> to </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">tmp_file</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">surface_file</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">level_check</span><span class="p">:</span>
+            <span class="n">tmp_file</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_tmp_file</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">level_file</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">download_file</span><span class="p">(</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">level_file_variables</span><span class="p">,</span>
+                <span class="n">time_dict</span><span class="o">=</span><span class="n">time_dict</span><span class="p">,</span>
+                <span class="n">area</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">area</span><span class="p">,</span>
+                <span class="n">out_file</span><span class="o">=</span><span class="n">tmp_file</span><span class="p">,</span>
+                <span class="n">level_type</span><span class="o">=</span><span class="s1">&#39;pressure&#39;</span><span class="p">,</span>
+                <span class="n">levels</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">levels</span><span class="p">,</span>
+                <span class="n">overwrite</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">overwrite</span><span class="p">,</span>
+                <span class="n">product_type</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">product_type</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="n">os</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">tmp_file</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">level_file</span><span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Moved </span><span class="si">%s</span><span class="s1"> to </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">tmp_file</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">level_file</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">sfc_check</span> <span class="ow">or</span> <span class="n">level_check</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">process_and_combine</span><span class="p">()</span></div>
+
+
+<div class="viewcode-block" id="EraDownloader.download_file">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.download_file">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">download_file</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">variables</span><span class="p">,</span>
+        <span class="n">time_dict</span><span class="p">,</span>
+        <span class="n">area</span><span class="p">,</span>
+        <span class="n">out_file</span><span class="p">,</span>
+        <span class="n">level_type</span><span class="p">,</span>
+        <span class="n">levels</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">product_type</span><span class="o">=</span><span class="s1">&#39;reanalysis&#39;</span><span class="p">,</span>
+        <span class="n">overwrite</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Download either single-level or pressure-level file</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        variables : list</span>
+<span class="sd">            List of variables to download</span>
+<span class="sd">        time_dict : dict</span>
+<span class="sd">            Dictionary with year, month, day, time entries.</span>
+<span class="sd">        area : list</span>
+<span class="sd">            List of bounding box coordinates.</span>
+<span class="sd">            e.g. [max_lat, min_lon, min_lat, max_lon]</span>
+<span class="sd">        out_file : str</span>
+<span class="sd">            Name of output file</span>
+<span class="sd">        level_type : str</span>
+<span class="sd">            Either &#39;single&#39; or &#39;pressure&#39;</span>
+<span class="sd">        levels : list</span>
+<span class="sd">            List of pressure levels to download, if level_type == &#39;pressure&#39;</span>
+<span class="sd">        product_type : str</span>
+<span class="sd">            Can be &#39;reanalysis&#39;, &#39;ensemble_mean&#39;, &#39;ensemble_spread&#39;,</span>
+<span class="sd">            &#39;ensemble_members&#39;, &#39;monthly_averaged_reanalysis&#39;,</span>
+<span class="sd">            &#39;monthly_averaged_ensemble_members&#39;</span>
+<span class="sd">        overwrite : bool</span>
+<span class="sd">            Whether to overwrite existing file</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">out_file</span><span class="p">)</span> <span class="ow">and</span> <span class="ow">not</span> <span class="bp">cls</span><span class="o">.</span><span class="n">_can_skip_file</span><span class="p">(</span><span class="n">out_file</span><span class="p">):</span>
+            <span class="n">os</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="n">out_file</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="ow">not</span> <span class="bp">cls</span><span class="o">.</span><span class="n">_can_skip_file</span><span class="p">(</span><span class="n">out_file</span><span class="p">)</span> <span class="ow">or</span> <span class="n">overwrite</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;Downloading </span><span class="si">{</span><span class="n">variables</span><span class="si">}</span><span class="s1"> to </span><span class="si">{</span><span class="n">out_file</span><span class="si">}</span><span class="s1"> with levels &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;= </span><span class="si">{</span><span class="n">levels</span><span class="si">}</span><span class="s1">.&#39;</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">dataset</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;reanalysis-era5-</span><span class="si">{</span><span class="n">level_type</span><span class="si">}</span><span class="s1">-levels&#39;</span>
+            <span class="k">if</span> <span class="s1">&#39;monthly&#39;</span> <span class="ow">in</span> <span class="n">product_type</span><span class="p">:</span>
+                <span class="n">dataset</span> <span class="o">+=</span> <span class="s1">&#39;-monthly-means&#39;</span>
+            <span class="n">entry</span> <span class="o">=</span> <span class="p">{</span>
+                <span class="s1">&#39;product_type&#39;</span><span class="p">:</span> <span class="p">[</span><span class="n">product_type</span><span class="p">],</span>
+                <span class="s1">&#39;data_format&#39;</span><span class="p">:</span> <span class="s1">&#39;netcdf&#39;</span><span class="p">,</span>
+                <span class="s1">&#39;download_format&#39;</span><span class="p">:</span> <span class="s1">&#39;unarchived&#39;</span><span class="p">,</span>
+                <span class="s1">&#39;variable&#39;</span><span class="p">:</span> <span class="n">variables</span><span class="p">,</span>
+                <span class="s1">&#39;area&#39;</span><span class="p">:</span> <span class="n">area</span><span class="p">,</span>
+            <span class="p">}</span>
+            <span class="n">entry</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">time_dict</span><span class="p">)</span>
+            <span class="k">if</span> <span class="n">level_type</span> <span class="o">==</span> <span class="s1">&#39;pressure&#39;</span><span class="p">:</span>
+                <span class="n">entry</span><span class="p">[</span><span class="s1">&#39;pressure_level&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">levels</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                <span class="s1">&#39;Calling CDS-API with dataset=</span><span class="si">%s</span><span class="s1">, entry=</span><span class="si">%s</span><span class="s1">.&#39;</span><span class="p">,</span> <span class="n">dataset</span><span class="p">,</span> <span class="n">entry</span>
+            <span class="p">)</span>
+            <span class="n">cds_api_client</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_cds_client</span><span class="p">()</span>
+
+            <span class="n">cds_api_client</span><span class="o">.</span><span class="n">retrieve</span><span class="p">(</span><span class="n">dataset</span><span class="p">,</span> <span class="n">entry</span><span class="p">,</span> <span class="n">out_file</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;File already exists: </span><span class="si">{</span><span class="n">out_file</span><span class="si">}</span><span class="s1">.&#39;</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="EraDownloader.process_surface_file">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.process_surface_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">process_surface_file</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Rename variables and convert geopotential to geopotential height.&quot;&quot;&quot;</span>
+        <span class="n">tmp_file</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_tmp_file</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">surface_file</span><span class="p">)</span>
+        <span class="n">ds</span> <span class="o">=</span> <span class="n">Loader</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">surface_file</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Converting &quot;z&quot; var to &quot;orog&quot; for </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">surface_file</span><span class="p">)</span>
+        <span class="n">ds</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">convert_z</span><span class="p">(</span><span class="n">ds</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">&#39;orog&#39;</span><span class="p">)</span>
+        <span class="n">ds</span> <span class="o">=</span> <span class="n">standardize_names</span><span class="p">(</span><span class="n">ds</span><span class="p">,</span> <span class="n">ERA_NAME_MAP</span><span class="p">)</span>
+        <span class="n">ds</span> <span class="o">=</span> <span class="n">standardize_values</span><span class="p">(</span><span class="n">ds</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="s1">&#39;monthly&#39;</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">product_type</span><span class="p">:</span>
+            <span class="n">ds</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DatetimeIndex</span><span class="p">(</span>
+                <span class="p">[</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">year</span><span class="si">}</span><span class="s1">-</span><span class="si">{</span><span class="nb">str</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">month</span><span class="p">)</span><span class="o">.</span><span class="n">zfill</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span><span class="si">}</span><span class="s1">-01&#39;</span><span class="p">]</span>
+            <span class="p">)</span>
+        <span class="n">ds</span><span class="o">.</span><span class="n">compute</span><span class="p">()</span><span class="o">.</span><span class="n">to_netcdf</span><span class="p">(</span><span class="n">tmp_file</span><span class="p">,</span> <span class="nb">format</span><span class="o">=</span><span class="s1">&#39;NETCDF4&#39;</span><span class="p">,</span> <span class="n">engine</span><span class="o">=</span><span class="s1">&#39;h5netcdf&#39;</span><span class="p">)</span>
+        <span class="n">os</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">tmp_file</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">surface_file</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Finished processing </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">surface_file</span><span class="si">}</span><span class="s1">. Moved </span><span class="si">{</span><span class="n">tmp_file</span><span class="si">}</span><span class="s1"> to &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">surface_file</span><span class="si">}</span><span class="s1">.&#39;</span>
+        <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="EraDownloader.add_pressure">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.add_pressure">[docs]</a>
+    <span class="k">def</span> <span class="nf">add_pressure</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">ds</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Add pressure to dataset</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        ds : Dataset</span>
+<span class="sd">            xr.Dataset() object for which to add pressure</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        ds : Dataset</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="s1">&#39;pressure&#39;</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">variables</span> <span class="ow">and</span> <span class="s1">&#39;pressure&#39;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">ds</span><span class="o">.</span><span class="n">data_vars</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Adding pressure variable.&#39;</span><span class="p">)</span>
+            <span class="n">pres</span> <span class="o">=</span> <span class="mi">100</span> <span class="o">*</span> <span class="n">ds</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">PRESSURE_LEVEL</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
+
+            <span class="c1"># if trailing dimensions don&#39;t match this is for an ensemble</span>
+            <span class="c1"># download</span>
+            <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">pres</span><span class="p">)</span> <span class="o">!=</span> <span class="n">ds</span><span class="p">[</span><span class="s1">&#39;zg&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]:</span>
+                <span class="n">pres</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">repeat</span><span class="p">(</span><span class="n">pres</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="kc">None</span><span class="p">],</span> <span class="n">ds</span><span class="p">[</span><span class="s1">&#39;zg&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+            <span class="n">ds</span><span class="p">[</span><span class="s1">&#39;pressure&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="n">ds</span><span class="p">[</span><span class="s1">&#39;zg&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">dims</span><span class="p">,</span>
+                <span class="n">da</span><span class="o">.</span><span class="n">broadcast_to</span><span class="p">(</span><span class="n">pres</span><span class="p">,</span> <span class="n">ds</span><span class="p">[</span><span class="s1">&#39;zg&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span><span class="p">),</span>
+            <span class="p">)</span>
+            <span class="n">ds</span><span class="p">[</span><span class="s1">&#39;pressure&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;units&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;Pa&#39;</span>
+        <span class="k">return</span> <span class="n">ds</span></div>
+
+
+<div class="viewcode-block" id="EraDownloader.convert_z">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.convert_z">[docs]</a>
+    <span class="k">def</span> <span class="nf">convert_z</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">ds</span><span class="p">,</span> <span class="n">name</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Convert z to given height variable</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        ds : Dataset</span>
+<span class="sd">            xr.Dataset() object for new file</span>
+<span class="sd">        name : str</span>
+<span class="sd">            Variable name. e.g. zg or orog, typically</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        ds : Dataset</span>
+<span class="sd">            xr.Dataset() object for new file with new height variable written.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">name</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">ds</span><span class="o">.</span><span class="n">data_vars</span> <span class="ow">and</span> <span class="s1">&#39;z&#39;</span> <span class="ow">in</span> <span class="n">ds</span><span class="o">.</span><span class="n">data_vars</span><span class="p">:</span>
+            <span class="n">ds</span><span class="p">[</span><span class="s1">&#39;z&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">ds</span><span class="p">[</span><span class="s1">&#39;z&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">dims</span><span class="p">,</span> <span class="n">ds</span><span class="p">[</span><span class="s1">&#39;z&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span> <span class="o">/</span> <span class="mf">9.81</span><span class="p">)</span>
+            <span class="n">ds</span><span class="p">[</span><span class="s1">&#39;z&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;units&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;m&#39;</span>
+            <span class="n">ds</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">rename</span><span class="p">({</span><span class="s1">&#39;z&#39;</span><span class="p">:</span> <span class="n">name</span><span class="p">})</span>
+        <span class="k">return</span> <span class="n">ds</span></div>
+
+
+<div class="viewcode-block" id="EraDownloader.process_level_file">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.process_level_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">process_level_file</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Convert geopotential to geopotential height.&quot;&quot;&quot;</span>
+        <span class="n">tmp_file</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_tmp_file</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">level_file</span><span class="p">)</span>
+        <span class="n">ds</span> <span class="o">=</span> <span class="n">Loader</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">level_file</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Converting &quot;z&quot; var to &quot;zg&quot; for </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">level_file</span><span class="p">)</span>
+        <span class="n">ds</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">convert_z</span><span class="p">(</span><span class="n">ds</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">&#39;zg&#39;</span><span class="p">)</span>
+        <span class="n">ds</span> <span class="o">=</span> <span class="n">standardize_names</span><span class="p">(</span><span class="n">ds</span><span class="p">,</span> <span class="n">ERA_NAME_MAP</span><span class="p">)</span>
+        <span class="n">ds</span> <span class="o">=</span> <span class="n">standardize_values</span><span class="p">(</span><span class="n">ds</span><span class="p">)</span>
+        <span class="n">ds</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">add_pressure</span><span class="p">(</span><span class="n">ds</span><span class="p">)</span>
+        <span class="k">if</span> <span class="s1">&#39;monthly&#39;</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">product_type</span><span class="p">:</span>
+            <span class="n">ds</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DatetimeIndex</span><span class="p">(</span>
+                <span class="p">[</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">year</span><span class="si">}</span><span class="s1">-</span><span class="si">{</span><span class="nb">str</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">month</span><span class="p">)</span><span class="o">.</span><span class="n">zfill</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span><span class="si">}</span><span class="s1">-01&#39;</span><span class="p">]</span>
+            <span class="p">)</span>
+        <span class="n">ds</span><span class="o">.</span><span class="n">compute</span><span class="p">()</span><span class="o">.</span><span class="n">to_netcdf</span><span class="p">(</span><span class="n">tmp_file</span><span class="p">,</span> <span class="nb">format</span><span class="o">=</span><span class="s1">&#39;NETCDF4&#39;</span><span class="p">,</span> <span class="n">engine</span><span class="o">=</span><span class="s1">&#39;h5netcdf&#39;</span><span class="p">)</span>
+        <span class="n">os</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">tmp_file</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">level_file</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Finished processing </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">level_file</span><span class="si">}</span><span class="s1">. Moved &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">tmp_file</span><span class="si">}</span><span class="s1"> to </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">level_file</span><span class="si">}</span><span class="s1">.&#39;</span>
+        <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="EraDownloader.process_and_combine">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.process_and_combine">[docs]</a>
+    <span class="k">def</span> <span class="nf">process_and_combine</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Process variables and combine.&quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">monthly_file</span><span class="p">)</span> <span class="ow">and</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_can_skip_file</span><span class="p">(</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">monthly_file</span>
+        <span class="p">):</span>
+            <span class="n">os</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">monthly_file</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_can_skip_file</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">monthly_file</span><span class="p">)</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">overwrite</span><span class="p">:</span>
+            <span class="n">files</span> <span class="o">=</span> <span class="p">[]</span>
+            <span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">level_file</span><span class="p">):</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Processing </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">level_file</span><span class="si">}</span><span class="s1">.&#39;</span><span class="p">)</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">process_level_file</span><span class="p">()</span>
+                <span class="n">files</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">level_file</span><span class="p">)</span>
+            <span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">surface_file</span><span class="p">):</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Processing </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">surface_file</span><span class="si">}</span><span class="s1">.&#39;</span><span class="p">)</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">process_surface_file</span><span class="p">()</span>
+                <span class="n">files</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">surface_file</span><span class="p">)</span>
+
+            <span class="n">kwargs</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;compat&#39;</span><span class="p">:</span> <span class="s1">&#39;override&#39;</span><span class="p">}</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_combine_files</span><span class="p">(</span><span class="n">files</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">monthly_file</span><span class="p">,</span> <span class="n">kwargs</span><span class="p">)</span>
+
+            <span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">level_file</span><span class="p">):</span>
+                <span class="n">os</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">level_file</span><span class="p">)</span>
+            <span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">surface_file</span><span class="p">):</span>
+                <span class="n">os</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">surface_file</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">monthly_file</span><span class="si">}</span><span class="s1"> already exists.&#39;</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="EraDownloader.get_monthly_file">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.get_monthly_file">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_monthly_file</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Download level and surface files, process variables, and combine</span>
+<span class="sd">        processed files. Includes checks for shape and variables.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">monthly_file</span><span class="p">)</span> <span class="ow">and</span> <span class="p">(</span>
+            <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_can_skip_file</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">monthly_file</span><span class="p">)</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">overwrite</span>
+        <span class="p">):</span>
+            <span class="n">os</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">monthly_file</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">monthly_file</span><span class="p">):</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">download_process_combine</span><span class="p">()</span></div>
+
+
+<div class="viewcode-block" id="EraDownloader.all_vars_exist">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.all_vars_exist">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">all_vars_exist</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">year</span><span class="p">,</span> <span class="n">file_pattern</span><span class="p">,</span> <span class="n">variables</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if all yearly variable files for the requested year exist.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        year : int</span>
+<span class="sd">            Year used for data download.</span>
+<span class="sd">        file_pattern : str</span>
+<span class="sd">            Pattern for variable file. Must include year and</span>
+<span class="sd">            var format keys. e.g. &#39;era5_{year}_{var}_combined.nc&#39;</span>
+<span class="sd">        variables : list</span>
+<span class="sd">            Variables that should have been downloaded</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        bool</span>
+<span class="sd">            True if all monthly variable files for the requested year and month</span>
+<span class="sd">            exist.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="nb">all</span><span class="p">(</span>
+            <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">file_pattern</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">year</span><span class="o">=</span><span class="n">year</span><span class="p">,</span> <span class="n">var</span><span class="o">=</span><span class="n">var</span><span class="p">))</span>
+            <span class="k">for</span> <span class="n">var</span> <span class="ow">in</span> <span class="n">variables</span>
+        <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="EraDownloader.run_month">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.run_month">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">run_month</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">year</span><span class="p">,</span>
+        <span class="n">month</span><span class="p">,</span>
+        <span class="n">area</span><span class="p">,</span>
+        <span class="n">levels</span><span class="p">,</span>
+        <span class="n">file_pattern</span><span class="p">,</span>
+        <span class="n">overwrite</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+        <span class="n">variables</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">product_type</span><span class="o">=</span><span class="s1">&#39;reanalysis&#39;</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Run routine for the given month and year.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        year : int</span>
+<span class="sd">            Year of data to download.</span>
+<span class="sd">        month : int</span>
+<span class="sd">            Month of data to download.</span>
+<span class="sd">        area : list</span>
+<span class="sd">            Domain area of the data to download.</span>
+<span class="sd">            [max_lat, min_lon, min_lat, max_lon]</span>
+<span class="sd">        levels : list</span>
+<span class="sd">            List of pressure levels to download.</span>
+<span class="sd">        file_pattern : str</span>
+<span class="sd">            Pattern for combined monthly output file. Must include year and</span>
+<span class="sd">            month format keys.  e.g. &#39;era5_{year}_{month}_combined.nc&#39;</span>
+<span class="sd">        overwrite : bool</span>
+<span class="sd">            Whether to overwrite existing files.</span>
+<span class="sd">        variables : list | None</span>
+<span class="sd">            Variables to download. If None this defaults to just gepotential</span>
+<span class="sd">            and wind components.</span>
+<span class="sd">        product_type : str</span>
+<span class="sd">            Can be &#39;reanalysis&#39;, &#39;ensemble_mean&#39;, &#39;ensemble_spread&#39;,</span>
+<span class="sd">            &#39;ensemble_members&#39;, &#39;monthly_averaged_reanalysis&#39;,</span>
+<span class="sd">            &#39;monthly_averaged_ensemble_members&#39;</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">variables</span> <span class="o">=</span> <span class="n">variables</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">variables</span><span class="p">,</span> <span class="nb">list</span><span class="p">)</span> <span class="k">else</span> <span class="p">[</span><span class="n">variables</span><span class="p">]</span>
+        <span class="k">for</span> <span class="n">var</span> <span class="ow">in</span> <span class="n">variables</span><span class="p">:</span>
+            <span class="n">downloader</span> <span class="o">=</span> <span class="bp">cls</span><span class="p">(</span>
+                <span class="n">year</span><span class="o">=</span><span class="n">year</span><span class="p">,</span>
+                <span class="n">month</span><span class="o">=</span><span class="n">month</span><span class="p">,</span>
+                <span class="n">area</span><span class="o">=</span><span class="n">area</span><span class="p">,</span>
+                <span class="n">levels</span><span class="o">=</span><span class="n">levels</span><span class="p">,</span>
+                <span class="n">file_pattern</span><span class="o">=</span><span class="n">file_pattern</span><span class="p">,</span>
+                <span class="n">overwrite</span><span class="o">=</span><span class="n">overwrite</span><span class="p">,</span>
+                <span class="n">variables</span><span class="o">=</span><span class="p">[</span><span class="n">var</span><span class="p">],</span>
+                <span class="n">product_type</span><span class="o">=</span><span class="n">product_type</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="n">downloader</span><span class="o">.</span><span class="n">get_monthly_file</span><span class="p">()</span></div>
+
+
+<div class="viewcode-block" id="EraDownloader.run_for_var">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.run_for_var">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">run_for_var</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">year</span><span class="p">,</span>
+        <span class="n">area</span><span class="p">,</span>
+        <span class="n">levels</span><span class="p">,</span>
+        <span class="n">monthly_file_pattern</span><span class="p">,</span>
+        <span class="n">yearly_file_pattern</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">months</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">overwrite</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+        <span class="n">max_workers</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">variable</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">product_type</span><span class="o">=</span><span class="s1">&#39;reanalysis&#39;</span><span class="p">,</span>
+        <span class="n">chunks</span><span class="o">=</span><span class="s1">&#39;auto&#39;</span><span class="p">,</span>
+        <span class="n">res_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Run routine for all requested months in the requested year for the</span>
+<span class="sd">        given variable.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        year : int</span>
+<span class="sd">            Year of data to download.</span>
+<span class="sd">        area : list</span>
+<span class="sd">            Domain area of the data to download.</span>
+<span class="sd">            [max_lat, min_lon, min_lat, max_lon]</span>
+<span class="sd">        levels : list</span>
+<span class="sd">            List of pressure levels to download.</span>
+<span class="sd">        monthly_file_pattern : str</span>
+<span class="sd">            Pattern for monthly output files. Must include year, month, and var</span>
+<span class="sd">            format keys.  e.g. &#39;era5_{year}_{month}_{var}.nc&#39;</span>
+<span class="sd">        yearly_file_pattern : str</span>
+<span class="sd">            Pattern for yearly output files. Must include year and var format</span>
+<span class="sd">            keys.  e.g. &#39;era5_{year}_{var}.nc&#39;</span>
+<span class="sd">        months : list | None</span>
+<span class="sd">            List of months to download data for. If None then all months for</span>
+<span class="sd">            the given year will be downloaded.</span>
+<span class="sd">        overwrite : bool</span>
+<span class="sd">            Whether to overwrite existing files.</span>
+<span class="sd">        max_workers : int</span>
+<span class="sd">            Max number of workers to use for downloading and processing monthly</span>
+<span class="sd">            files.</span>
+<span class="sd">        variable : str</span>
+<span class="sd">            Variable to download.</span>
+<span class="sd">        product_type : str</span>
+<span class="sd">            Can be &#39;reanalysis&#39;, &#39;ensemble_mean&#39;, &#39;ensemble_spread&#39;,</span>
+<span class="sd">            &#39;ensemble_members&#39;, &#39;monthly_averaged_reanalysis&#39;,</span>
+<span class="sd">            &#39;monthly_averaged_ensemble_members&#39;</span>
+<span class="sd">        chunks : str | dict</span>
+<span class="sd">            Dictionary of chunksizes used when writing data to netcdf files.</span>
+<span class="sd">            Can also be &#39;auto&#39;.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">yearly_file_pattern</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">yearly_var_file</span> <span class="o">=</span> <span class="n">yearly_file_pattern</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">year</span><span class="o">=</span><span class="n">year</span><span class="p">,</span> <span class="n">var</span><span class="o">=</span><span class="n">variable</span>
+            <span class="p">)</span>
+            <span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">yearly_var_file</span><span class="p">)</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">overwrite</span><span class="p">:</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+                    <span class="s1">&#39;</span><span class="si">%s</span><span class="s1"> already exists and overwrite=False.&#39;</span><span class="p">,</span> <span class="n">yearly_var_file</span>
+                <span class="p">)</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;file_pattern must have </span><span class="si">{year}</span><span class="s1">, </span><span class="si">{month}</span><span class="s1">, and </span><span class="si">{var}</span><span class="s1"> format keys&#39;</span>
+        <span class="k">assert</span> <span class="nb">all</span><span class="p">(</span>
+            <span class="n">key</span> <span class="ow">in</span> <span class="n">monthly_file_pattern</span>
+            <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="p">(</span><span class="s1">&#39;</span><span class="si">{year}</span><span class="s1">&#39;</span><span class="p">,</span> <span class="s1">&#39;</span><span class="si">{month}</span><span class="s1">&#39;</span><span class="p">,</span> <span class="s1">&#39;</span><span class="si">{var}</span><span class="s1">&#39;</span><span class="p">)</span>
+        <span class="p">),</span> <span class="n">msg</span>
+
+        <span class="n">tasks</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="n">months</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">13</span><span class="p">))</span> <span class="k">if</span> <span class="n">months</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">months</span>
+        <span class="k">for</span> <span class="n">month</span> <span class="ow">in</span> <span class="n">months</span><span class="p">:</span>
+            <span class="n">task</span> <span class="o">=</span> <span class="n">dask</span><span class="o">.</span><span class="n">delayed</span><span class="p">(</span><span class="bp">cls</span><span class="o">.</span><span class="n">run_month</span><span class="p">)(</span>
+                <span class="n">year</span><span class="o">=</span><span class="n">year</span><span class="p">,</span>
+                <span class="n">month</span><span class="o">=</span><span class="n">month</span><span class="p">,</span>
+                <span class="n">area</span><span class="o">=</span><span class="n">area</span><span class="p">,</span>
+                <span class="n">levels</span><span class="o">=</span><span class="n">levels</span><span class="p">,</span>
+                <span class="n">file_pattern</span><span class="o">=</span><span class="n">monthly_file_pattern</span><span class="p">,</span>
+                <span class="n">overwrite</span><span class="o">=</span><span class="n">overwrite</span><span class="p">,</span>
+                <span class="n">variables</span><span class="o">=</span><span class="p">[</span><span class="n">variable</span><span class="p">],</span>
+                <span class="n">product_type</span><span class="o">=</span><span class="n">product_type</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="n">tasks</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">task</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">max_workers</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">dask</span><span class="o">.</span><span class="n">compute</span><span class="p">(</span><span class="o">*</span><span class="n">tasks</span><span class="p">,</span> <span class="n">scheduler</span><span class="o">=</span><span class="s1">&#39;single-threaded&#39;</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">dask</span><span class="o">.</span><span class="n">compute</span><span class="p">(</span><span class="o">*</span><span class="n">tasks</span><span class="p">,</span> <span class="n">scheduler</span><span class="o">=</span><span class="s1">&#39;threads&#39;</span><span class="p">,</span> <span class="n">num_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">yearly_file_pattern</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">months</span><span class="p">)</span> <span class="o">==</span> <span class="mi">12</span><span class="p">:</span>
+            <span class="bp">cls</span><span class="o">.</span><span class="n">make_yearly_var_file</span><span class="p">(</span>
+                <span class="n">year</span><span class="p">,</span>
+                <span class="n">monthly_file_pattern</span><span class="p">,</span>
+                <span class="n">yearly_file_pattern</span><span class="p">,</span>
+                <span class="n">variable</span><span class="p">,</span>
+                <span class="n">chunks</span><span class="o">=</span><span class="n">chunks</span><span class="p">,</span>
+                <span class="n">res_kwargs</span><span class="o">=</span><span class="n">res_kwargs</span><span class="p">,</span>
+            <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="EraDownloader.run">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.run">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">run</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">year</span><span class="p">,</span>
+        <span class="n">area</span><span class="p">,</span>
+        <span class="n">levels</span><span class="p">,</span>
+        <span class="n">monthly_file_pattern</span><span class="p">,</span>
+        <span class="n">yearly_file_pattern</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">months</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">overwrite</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+        <span class="n">max_workers</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">variables</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+        <span class="n">product_type</span><span class="o">=</span><span class="s1">&#39;reanalysis&#39;</span><span class="p">,</span>
+        <span class="n">chunks</span><span class="o">=</span><span class="s1">&#39;auto&#39;</span><span class="p">,</span>
+        <span class="n">combine_all_files</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+        <span class="n">res_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Run routine for all requested months in the requested year.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        year : int</span>
+<span class="sd">            Year of data to download.</span>
+<span class="sd">        area : list</span>
+<span class="sd">            Domain area of the data to download.</span>
+<span class="sd">            [max_lat, min_lon, min_lat, max_lon]</span>
+<span class="sd">        levels : list</span>
+<span class="sd">            List of pressure levels to download.</span>
+<span class="sd">        monthly_file_pattern : str</span>
+<span class="sd">            Pattern for monthly output file. Must include year, month, and var</span>
+<span class="sd">            format keys.  e.g. &#39;era5_{year}_{month}_{var}_combined.nc&#39;</span>
+<span class="sd">        yearly_file_pattern : str</span>
+<span class="sd">            Pattern for yearly output file. Must include year and var</span>
+<span class="sd">            format keys.  e.g. &#39;era5_{year}_{var}_combined.nc&#39;</span>
+<span class="sd">        months : list | None</span>
+<span class="sd">            List of months to download data for. If None then all months for</span>
+<span class="sd">            the given year will be downloaded.</span>
+<span class="sd">        overwrite : bool</span>
+<span class="sd">            Whether to overwrite existing files.</span>
+<span class="sd">        max_workers : int</span>
+<span class="sd">            Max number of workers to use for downloading and processing monthly</span>
+<span class="sd">            files.</span>
+<span class="sd">        variables : list | None</span>
+<span class="sd">            Variables to download. If None this defaults to just gepotential</span>
+<span class="sd">            and wind components.</span>
+<span class="sd">        product_type : str</span>
+<span class="sd">            Can be &#39;reanalysis&#39;, &#39;ensemble_mean&#39;, &#39;ensemble_spread&#39;,</span>
+<span class="sd">            &#39;ensemble_members&#39;, &#39;monthly_averaged_reanalysis&#39;,</span>
+<span class="sd">            &#39;monthly_averaged_ensemble_members&#39;</span>
+<span class="sd">        chunks : str | dict</span>
+<span class="sd">            Dictionary of chunksizes used when writing data to netcdf files.</span>
+<span class="sd">            Can also be &#39;auto&#39;</span>
+<span class="sd">        combine_all_files : bool</span>
+<span class="sd">            Whether to combine separate yearly variable files into a single</span>
+<span class="sd">            yearly file with all variables included</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">for</span> <span class="n">var</span> <span class="ow">in</span> <span class="n">variables</span><span class="p">:</span>
+            <span class="bp">cls</span><span class="o">.</span><span class="n">run_for_var</span><span class="p">(</span>
+                <span class="n">year</span><span class="o">=</span><span class="n">year</span><span class="p">,</span>
+                <span class="n">area</span><span class="o">=</span><span class="n">area</span><span class="p">,</span>
+                <span class="n">levels</span><span class="o">=</span><span class="n">levels</span><span class="p">,</span>
+                <span class="n">months</span><span class="o">=</span><span class="n">months</span><span class="p">,</span>
+                <span class="n">monthly_file_pattern</span><span class="o">=</span><span class="n">monthly_file_pattern</span><span class="p">,</span>
+                <span class="n">yearly_file_pattern</span><span class="o">=</span><span class="n">yearly_file_pattern</span><span class="p">,</span>
+                <span class="n">overwrite</span><span class="o">=</span><span class="n">overwrite</span><span class="p">,</span>
+                <span class="n">variable</span><span class="o">=</span><span class="n">var</span><span class="p">,</span>
+                <span class="n">product_type</span><span class="o">=</span><span class="n">product_type</span><span class="p">,</span>
+                <span class="n">max_workers</span><span class="o">=</span><span class="n">max_workers</span><span class="p">,</span>
+                <span class="n">chunks</span><span class="o">=</span><span class="n">chunks</span><span class="p">,</span>
+                <span class="n">res_kwargs</span><span class="o">=</span><span class="n">res_kwargs</span><span class="p">,</span>
+            <span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">yearly_file_pattern</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="p">(</span>
+            <span class="bp">cls</span><span class="o">.</span><span class="n">all_vars_exist</span><span class="p">(</span>
+                <span class="n">year</span><span class="o">=</span><span class="n">year</span><span class="p">,</span>
+                <span class="n">file_pattern</span><span class="o">=</span><span class="n">yearly_file_pattern</span><span class="p">,</span>
+                <span class="n">variables</span><span class="o">=</span><span class="n">variables</span><span class="p">,</span>
+            <span class="p">)</span>
+            <span class="ow">and</span> <span class="n">combine_all_files</span>
+        <span class="p">):</span>
+            <span class="bp">cls</span><span class="o">.</span><span class="n">make_yearly_file</span><span class="p">(</span>
+                <span class="n">year</span><span class="p">,</span>
+                <span class="n">yearly_file_pattern</span><span class="p">,</span>
+                <span class="n">variables</span><span class="p">,</span>
+                <span class="n">chunks</span><span class="o">=</span><span class="n">chunks</span><span class="p">,</span>
+                <span class="n">res_kwargs</span><span class="o">=</span><span class="n">res_kwargs</span><span class="p">,</span>
+            <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="EraDownloader.make_yearly_var_file">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.make_yearly_var_file">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">make_yearly_var_file</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">year</span><span class="p">,</span>
+        <span class="n">monthly_file_pattern</span><span class="p">,</span>
+        <span class="n">yearly_file_pattern</span><span class="p">,</span>
+        <span class="n">variable</span><span class="p">,</span>
+        <span class="n">chunks</span><span class="o">=</span><span class="s1">&#39;auto&#39;</span><span class="p">,</span>
+        <span class="n">res_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Combine monthly variable files into a single yearly variable file.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        year : int</span>
+<span class="sd">            Year used to download data</span>
+<span class="sd">        monthly_file_pattern : str</span>
+<span class="sd">            File pattern for monthly variable files. Must have year, month, and</span>
+<span class="sd">            var format keys. e.g. &#39;./era_{year}_{month}_{var}_combined.nc&#39;</span>
+<span class="sd">        yearly_file_pattern : str</span>
+<span class="sd">            File pattern for yearly variable files. Must have year and var</span>
+<span class="sd">            format keys. e.g. &#39;./era_{year}_{var}_combined.nc&#39;</span>
+<span class="sd">        variable : string</span>
+<span class="sd">            Variable name for the files to be combined.</span>
+<span class="sd">        chunks : str | dict</span>
+<span class="sd">            Dictionary of chunksizes used when writing data to netcdf files.</span>
+<span class="sd">            Can also be &#39;auto&#39;.</span>
+<span class="sd">        res_kwargs : None | dict</span>
+<span class="sd">            Keyword arguments for base resource handler, like</span>
+<span class="sd">            ``xr.open_mfdataset.`` This is passed to a ``Loader`` object and</span>
+<span class="sd">            then used in the base loader contained by that obkect.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">files</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="n">monthly_file_pattern</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">year</span><span class="o">=</span><span class="n">year</span><span class="p">,</span> <span class="n">month</span><span class="o">=</span><span class="nb">str</span><span class="p">(</span><span class="n">month</span><span class="p">)</span><span class="o">.</span><span class="n">zfill</span><span class="p">(</span><span class="mi">2</span><span class="p">),</span> <span class="n">var</span><span class="o">=</span><span class="n">variable</span>
+            <span class="p">)</span>
+            <span class="k">for</span> <span class="n">month</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">13</span><span class="p">)</span>
+        <span class="p">]</span>
+
+        <span class="n">outfile</span> <span class="o">=</span> <span class="n">yearly_file_pattern</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">year</span><span class="o">=</span><span class="n">year</span><span class="p">,</span> <span class="n">var</span><span class="o">=</span><span class="n">variable</span><span class="p">)</span>
+        <span class="n">default_kwargs</span> <span class="o">=</span> <span class="p">{</span>
+            <span class="s1">&#39;combine&#39;</span><span class="p">:</span> <span class="s1">&#39;nested&#39;</span><span class="p">,</span>
+            <span class="s1">&#39;concat_dim&#39;</span><span class="p">:</span> <span class="s1">&#39;time&#39;</span><span class="p">,</span>
+            <span class="s1">&#39;coords&#39;</span><span class="p">:</span> <span class="s1">&#39;minimal&#39;</span><span class="p">,</span>
+        <span class="p">}</span>
+        <span class="n">res_kwargs</span> <span class="o">=</span> <span class="n">res_kwargs</span> <span class="ow">or</span> <span class="p">{}</span>
+        <span class="n">default_kwargs</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">res_kwargs</span><span class="p">)</span>
+        <span class="bp">cls</span><span class="o">.</span><span class="n">_combine_files</span><span class="p">(</span>
+            <span class="n">files</span><span class="p">,</span> <span class="n">outfile</span><span class="p">,</span> <span class="n">chunks</span><span class="o">=</span><span class="n">chunks</span><span class="p">,</span> <span class="n">res_kwargs</span><span class="o">=</span><span class="n">res_kwargs</span>
+        <span class="p">)</span></div>
+
+
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">_can_skip_file</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">file</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Make sure existing file has successfully downloaded and can be</span>
+<span class="sd">        opened.&quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">file</span><span class="p">):</span>
+            <span class="k">return</span> <span class="kc">False</span>
+
+        <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
+            <span class="s1">&#39;</span><span class="si">%s</span><span class="s1"> already exists. Making sure it downloaded successfully.&#39;</span><span class="p">,</span> <span class="n">file</span>
+        <span class="p">)</span>
+        <span class="n">openable</span> <span class="o">=</span> <span class="kc">True</span>
+        <span class="k">try</span><span class="p">:</span>
+            <span class="n">_</span> <span class="o">=</span> <span class="n">Loader</span><span class="p">(</span><span class="n">file</span><span class="p">)</span>
+        <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;Could not open </span><span class="si">%s</span><span class="s1">. </span><span class="si">%s</span><span class="s1"> Will redownload.&#39;</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">,</span> <span class="n">file</span><span class="p">,</span> <span class="n">e</span><span class="p">)</span>
+            <span class="n">warn</span><span class="p">(</span><span class="n">msg</span> <span class="o">%</span> <span class="p">(</span><span class="n">file</span><span class="p">,</span> <span class="n">e</span><span class="p">))</span>
+            <span class="n">openable</span> <span class="o">=</span> <span class="kc">False</span>
+
+        <span class="k">return</span> <span class="n">openable</span>
+
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">_combine_files</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">files</span><span class="p">,</span> <span class="n">outfile</span><span class="p">,</span> <span class="n">chunks</span><span class="o">=</span><span class="s1">&#39;auto&#39;</span><span class="p">,</span> <span class="n">res_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">outfile</span><span class="p">):</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Combining </span><span class="si">{</span><span class="n">files</span><span class="si">}</span><span class="s1"> into </span><span class="si">{</span><span class="n">outfile</span><span class="si">}</span><span class="s1">.&#39;</span><span class="p">)</span>
+            <span class="k">try</span><span class="p">:</span>
+                <span class="n">res_kwargs</span> <span class="o">=</span> <span class="n">res_kwargs</span> <span class="ow">or</span> <span class="p">{}</span>
+                <span class="n">loader</span> <span class="o">=</span> <span class="n">Loader</span><span class="p">(</span><span class="n">files</span><span class="p">,</span> <span class="n">res_kwargs</span><span class="o">=</span><span class="n">res_kwargs</span><span class="p">)</span>
+                <span class="n">tmp_file</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_tmp_file</span><span class="p">(</span><span class="n">outfile</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">ignore_var</span> <span class="ow">in</span> <span class="n">IGNORE_VARS</span><span class="p">:</span>
+                    <span class="k">if</span> <span class="n">ignore_var</span> <span class="ow">in</span> <span class="n">loader</span><span class="o">.</span><span class="n">coords</span><span class="p">:</span>
+                        <span class="n">loader</span><span class="o">.</span><span class="n">data</span> <span class="o">=</span> <span class="n">loader</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">drop_vars</span><span class="p">(</span><span class="n">ignore_var</span><span class="p">)</span>
+                <span class="n">Cacher</span><span class="o">.</span><span class="n">write_netcdf</span><span class="p">(</span>
+                    <span class="n">data</span><span class="o">=</span><span class="n">loader</span><span class="o">.</span><span class="n">data</span><span class="p">,</span>
+                    <span class="n">out_file</span><span class="o">=</span><span class="n">tmp_file</span><span class="p">,</span>
+                    <span class="n">max_workers</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+                    <span class="n">chunks</span><span class="o">=</span><span class="n">chunks</span><span class="p">,</span>
+                <span class="p">)</span>
+                <span class="n">os</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">tmp_file</span><span class="p">,</span> <span class="n">outfile</span><span class="p">)</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Moved </span><span class="si">%s</span><span class="s1"> to </span><span class="si">%s</span><span class="s1">.&#39;</span><span class="p">,</span> <span class="n">tmp_file</span><span class="p">,</span> <span class="n">outfile</span><span class="p">)</span>
+            <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
+                <span class="n">msg</span> <span class="o">=</span> <span class="sa">f</span><span class="s1">&#39;Error combining </span><span class="si">{</span><span class="n">files</span><span class="si">}</span><span class="s1">. </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s1">&#39;</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+                <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">outfile</span><span class="si">}</span><span class="s1"> already exists.&#39;</span><span class="p">)</span>
+
+<div class="viewcode-block" id="EraDownloader.make_yearly_file">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.make_yearly_file">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">make_yearly_file</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span> <span class="n">year</span><span class="p">,</span> <span class="n">file_pattern</span><span class="p">,</span> <span class="n">variables</span><span class="p">,</span> <span class="n">chunks</span><span class="o">=</span><span class="s1">&#39;auto&#39;</span><span class="p">,</span> <span class="n">res_kwargs</span><span class="o">=</span><span class="kc">None</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Combine yearly variable files into a single file.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        year : int</span>
+<span class="sd">            Year for the data to make into a yearly file.</span>
+<span class="sd">        file_pattern : str</span>
+<span class="sd">            File pattern for output files. Must have year and var</span>
+<span class="sd">            format keys. e.g. &#39;./era_{year}_{var}_combined.nc&#39;</span>
+<span class="sd">        variables : list</span>
+<span class="sd">            List of variables corresponding to the yearly variable files to</span>
+<span class="sd">            combine.</span>
+<span class="sd">        chunks : str | dict</span>
+<span class="sd">            Dictionary of chunksizes used when writing data to netcdf files.</span>
+<span class="sd">            Can also be &#39;auto&#39;.</span>
+<span class="sd">        res_kwargs : None | dict</span>
+<span class="sd">            Keyword arguments for base resource handler, like</span>
+<span class="sd">            ``xr.open_mfdataset.`` This is passed to a ``Loader`` object and</span>
+<span class="sd">            then used in the base loader contained by that obkect.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;Not all variable files with file_patten </span><span class="si">{</span><span class="n">file_pattern</span><span class="si">}</span><span class="s1"> for &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;year </span><span class="si">{</span><span class="n">year</span><span class="si">}</span><span class="s1"> exist.&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="bp">cls</span><span class="o">.</span><span class="n">all_vars_exist</span><span class="p">(</span>
+            <span class="n">year</span><span class="o">=</span><span class="n">year</span><span class="p">,</span> <span class="n">file_pattern</span><span class="o">=</span><span class="n">file_pattern</span><span class="p">,</span> <span class="n">variables</span><span class="o">=</span><span class="n">variables</span>
+        <span class="p">),</span> <span class="n">msg</span>
+
+        <span class="n">files</span> <span class="o">=</span> <span class="p">[</span><span class="n">file_pattern</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">year</span><span class="o">=</span><span class="n">year</span><span class="p">,</span> <span class="n">var</span><span class="o">=</span><span class="n">var</span><span class="p">)</span> <span class="k">for</span> <span class="n">var</span> <span class="ow">in</span> <span class="n">variables</span><span class="p">]</span>
+        <span class="n">yearly_file</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">file_pattern</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;_</span><span class="si">{var}</span><span class="s1">_&#39;</span><span class="p">,</span> <span class="s1">&#39;&#39;</span><span class="p">)</span>
+            <span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;_</span><span class="si">{var}</span><span class="s1">&#39;</span><span class="p">,</span> <span class="s1">&#39;&#39;</span><span class="p">)</span>
+            <span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">year</span><span class="o">=</span><span class="n">year</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="bp">cls</span><span class="o">.</span><span class="n">_combine_files</span><span class="p">(</span>
+            <span class="n">files</span><span class="p">,</span> <span class="n">yearly_file</span><span class="p">,</span> <span class="n">res_kwargs</span><span class="o">=</span><span class="n">res_kwargs</span><span class="p">,</span> <span class="n">chunks</span><span class="o">=</span><span class="n">chunks</span>
+        <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="EraDownloader.run_qa">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.run_qa">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">run_qa</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">file</span><span class="p">,</span> <span class="n">res_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">log_file</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check for NaN values and log min / max / mean / stds for all</span>
+<span class="sd">        variables.&quot;&quot;&quot;</span>
+
+        <span class="n">logger</span> <span class="o">=</span> <span class="n">init_logger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">,</span> <span class="n">log_level</span><span class="o">=</span><span class="s1">&#39;DEBUG&#39;</span><span class="p">,</span> <span class="n">log_file</span><span class="o">=</span><span class="n">log_file</span><span class="p">)</span>
+        <span class="k">with</span> <span class="n">Loader</span><span class="p">(</span><span class="n">file</span><span class="p">,</span> <span class="n">res_kwargs</span><span class="o">=</span><span class="n">res_kwargs</span><span class="p">)</span> <span class="k">as</span> <span class="n">res</span><span class="p">:</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Running qa on file: </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">file</span><span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;</span><span class="se">\n</span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">pprint</span><span class="o">.</span><span class="n">pformat</span><span class="p">(</span><span class="n">res</span><span class="o">.</span><span class="n">qa</span><span class="p">(),</span> <span class="n">indent</span><span class="o">=</span><span class="mi">2</span><span class="p">))</span></div>
+</div>
+
+</pre></div>
+
+                </article>
+              
+
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+  <h1>Source code for sup3r.utilities.interpolation</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Interpolator class with methods for pressure and height interpolation&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Union</span>
+<span class="kn">from</span> <span class="nn">warnings</span> <span class="kn">import</span> <span class="n">warn</span>
+
+<span class="kn">import</span> <span class="nn">dask.array</span> <span class="k">as</span> <span class="nn">da</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="Interpolator">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.interpolation.Interpolator.html#sup3r.utilities.interpolation.Interpolator">[docs]</a>
+<span class="k">class</span> <span class="nc">Interpolator</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Class for handling pressure and height interpolation&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="Interpolator.get_level_masks">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.interpolation.Interpolator.html#sup3r.utilities.interpolation.Interpolator.get_level_masks">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">get_level_masks</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">lev_array</span><span class="p">,</span> <span class="n">level</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get the masks used to select closest surrounding levels in the</span>
+<span class="sd">        lev_array to requested interpolation level.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        var_array : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            Array of variable data, for example u-wind in a 4D array of shape</span>
+<span class="sd">            (lat, lon, time, level)</span>
+<span class="sd">        lev_array : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            Height or pressure values for the corresponding entries in</span>
+<span class="sd">            var_array, in the same shape as var_array. If this is height and</span>
+<span class="sd">            the requested levels are hub heights above surface, lev_array</span>
+<span class="sd">            should be the geopotential height corresponding to every var_array</span>
+<span class="sd">            index relative to the surface elevation (subtract the elevation at</span>
+<span class="sd">            the surface from the geopotential height)</span>
+<span class="sd">        level : float</span>
+<span class="sd">            level to interpolate to (e.g. final desired hub height</span>
+<span class="sd">            above surface elevation)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        mask1 : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            Array of bools selecting the entries with the closest levels to the</span>
+<span class="sd">            one requested.</span>
+<span class="sd">            (lat, lon, time, level)</span>
+<span class="sd">        mask2 : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            Array of bools selecting the entries with the second closest levels</span>
+<span class="sd">            to the one requested.</span>
+<span class="sd">            (lat, lon, time, level)</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">argmin1</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">argmin</span><span class="p">(</span><span class="n">da</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">lev_array</span> <span class="o">-</span> <span class="n">level</span><span class="p">),</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">keepdims</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+        <span class="n">lev_indices</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">broadcast_to</span><span class="p">(</span>
+            <span class="n">da</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">lev_array</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]),</span> <span class="n">lev_array</span><span class="o">.</span><span class="n">shape</span>
+        <span class="p">)</span>
+        <span class="n">mask1</span> <span class="o">=</span> <span class="n">lev_indices</span> <span class="o">==</span> <span class="n">argmin1</span>
+
+        <span class="n">other_levs</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">ma</span><span class="o">.</span><span class="n">masked_array</span><span class="p">(</span><span class="n">lev_array</span><span class="p">,</span> <span class="n">mask1</span><span class="p">)</span>
+        <span class="n">argmin2</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">argmin</span><span class="p">(</span><span class="n">da</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">other_levs</span> <span class="o">-</span> <span class="n">level</span><span class="p">),</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">keepdims</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+        <span class="n">mask2</span> <span class="o">=</span> <span class="n">lev_indices</span> <span class="o">==</span> <span class="n">argmin2</span>
+        <span class="k">return</span> <span class="n">mask1</span><span class="p">,</span> <span class="n">mask2</span></div>
+
+
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">_lin_interp</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">lev_samps</span><span class="p">,</span> <span class="n">var_samps</span><span class="p">,</span> <span class="n">level</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Linearly interpolate between levels.&quot;&quot;&quot;</span>
+        <span class="n">diff</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">map_blocks</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">:</span> <span class="n">x</span> <span class="o">-</span> <span class="n">y</span><span class="p">,</span> <span class="n">lev_samps</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">lev_samps</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+        <span class="n">alpha</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">where</span><span class="p">(</span>
+            <span class="n">diff</span> <span class="o">==</span> <span class="mi">0</span><span class="p">,</span>
+            <span class="mi">0</span><span class="p">,</span>
+            <span class="n">da</span><span class="o">.</span><span class="n">map_blocks</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">:</span> <span class="n">x</span> <span class="o">/</span> <span class="n">y</span><span class="p">,</span> <span class="p">(</span><span class="n">level</span> <span class="o">-</span> <span class="n">lev_samps</span><span class="p">[</span><span class="mi">0</span><span class="p">]),</span> <span class="n">diff</span><span class="p">),</span>
+        <span class="p">)</span>
+        <span class="k">return</span> <span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">alpha</span><span class="p">)</span> <span class="o">*</span> <span class="n">var_samps</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="n">alpha</span> <span class="o">*</span> <span class="n">var_samps</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">_log_interp</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">lev_samps</span><span class="p">,</span> <span class="n">var_samps</span><span class="p">,</span> <span class="n">level</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Interpolate between levels with log profile.</span>
+
+<span class="sd">        Note</span>
+<span class="sd">        ----</span>
+<span class="sd">        Here we fit the function a * log(h - h0 + 1) + v0 to the two given</span>
+<span class="sd">        levels and variable values. So a is calculated with `v1 = a * log(h1 -</span>
+<span class="sd">        h0 + 1) + v0` where v1, v0 are var_samps[0], var_samps[1] and h1, h0</span>
+<span class="sd">        are lev_samps[1], lev_samps[0]</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">mask</span> <span class="o">=</span> <span class="n">lev_samps</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">&lt;</span> <span class="n">lev_samps</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
+        <span class="n">h0</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">mask</span><span class="p">,</span> <span class="n">lev_samps</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">lev_samps</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+        <span class="n">h1</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">mask</span><span class="p">,</span> <span class="n">lev_samps</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">lev_samps</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+        <span class="n">v0</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">mask</span><span class="p">,</span> <span class="n">var_samps</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">var_samps</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+        <span class="n">v1</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">mask</span><span class="p">,</span> <span class="n">var_samps</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">var_samps</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+        <span class="n">coeff</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">h1</span> <span class="o">==</span> <span class="n">h0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="p">(</span><span class="n">v1</span> <span class="o">-</span> <span class="n">v0</span><span class="p">)</span> <span class="o">/</span> <span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">h1</span> <span class="o">-</span> <span class="n">h0</span> <span class="o">+</span> <span class="mi">1</span><span class="p">))</span>
+        <span class="n">coeff</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">level</span> <span class="o">&lt;</span> <span class="n">h0</span><span class="p">,</span> <span class="o">-</span><span class="n">coeff</span><span class="p">,</span> <span class="n">coeff</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">coeff</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">da</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">level</span> <span class="o">-</span> <span class="n">h0</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">+</span> <span class="n">v0</span>
+
+<div class="viewcode-block" id="Interpolator.interp_to_level">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.interpolation.Interpolator.html#sup3r.utilities.interpolation.Interpolator.interp_to_level">[docs]</a>
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">interp_to_level</span><span class="p">(</span>
+        <span class="bp">cls</span><span class="p">,</span>
+        <span class="n">lev_array</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">da</span><span class="o">.</span><span class="n">core</span><span class="o">.</span><span class="n">Array</span><span class="p">],</span>
+        <span class="n">var_array</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">da</span><span class="o">.</span><span class="n">core</span><span class="o">.</span><span class="n">Array</span><span class="p">],</span>
+        <span class="n">level</span><span class="p">,</span>
+        <span class="n">interp_kwargs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Interpolate var_array to the given level.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        var_array : xr.DataArray</span>
+<span class="sd">            Array of variable data, for example u-wind in a 4D array of shape</span>
+<span class="sd">            (lat, lon, time, level)</span>
+<span class="sd">        lev_array : xr.DataArray</span>
+<span class="sd">            Height or pressure values for the corresponding entries in</span>
+<span class="sd">            var_array, in the same shape as var_array. If this is height and</span>
+<span class="sd">            the requested levels are hub heights above surface, lev_array</span>
+<span class="sd">            should be the geopotential height corresponding to every var_array</span>
+<span class="sd">            index relative to the surface elevation (subtract the elevation at</span>
+<span class="sd">            the surface from the geopotential height)</span>
+<span class="sd">        level : float</span>
+<span class="sd">            level or levels to interpolate to (e.g. final desired hub height</span>
+<span class="sd">            above surface elevation)</span>
+<span class="sd">        interp_kwargs: dict | None</span>
+<span class="sd">            Dictionary of kwargs for level interpolation. Can include &quot;method&quot;</span>
+<span class="sd">            and &quot;run_level_check&quot; keys</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        out : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">            Interpolated var_array (lat, lon, time)</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">interp_kwargs</span> <span class="o">=</span> <span class="n">interp_kwargs</span> <span class="ow">or</span> <span class="p">{}</span>
+        <span class="n">interp_method</span> <span class="o">=</span> <span class="n">interp_kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;method&#39;</span><span class="p">,</span> <span class="s1">&#39;linear&#39;</span><span class="p">)</span>
+        <span class="n">run_level_check</span> <span class="o">=</span> <span class="n">interp_kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;run_level_check&#39;</span><span class="p">,</span> <span class="kc">False</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">run_level_check</span><span class="p">:</span>
+            <span class="bp">cls</span><span class="o">.</span><span class="n">_check_lev_array</span><span class="p">(</span><span class="n">lev_array</span><span class="p">,</span> <span class="n">levels</span><span class="o">=</span><span class="p">[</span><span class="n">level</span><span class="p">])</span>
+        <span class="n">levs</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">ma</span><span class="o">.</span><span class="n">masked_array</span><span class="p">(</span><span class="n">lev_array</span><span class="p">,</span> <span class="n">da</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">lev_array</span><span class="p">))</span>
+        <span class="n">mask1</span><span class="p">,</span> <span class="n">mask2</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_level_masks</span><span class="p">(</span><span class="n">levs</span><span class="p">,</span> <span class="n">level</span><span class="p">)</span>
+        <span class="n">lev1</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">mask1</span><span class="p">,</span> <span class="n">lev_array</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">)</span>
+        <span class="n">lev2</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">mask2</span><span class="p">,</span> <span class="n">lev_array</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">)</span>
+        <span class="n">var1</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">mask1</span><span class="p">,</span> <span class="n">var_array</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">)</span>
+        <span class="n">var2</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">mask2</span><span class="p">,</span> <span class="n">var_array</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">)</span>
+        <span class="n">lev1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">lev1</span><span class="p">,</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+        <span class="n">lev2</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">lev2</span><span class="p">,</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+        <span class="n">var1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">var1</span><span class="p">,</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+        <span class="n">var2</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">var2</span><span class="p">,</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">interp_method</span> <span class="o">==</span> <span class="s1">&#39;log&#39;</span><span class="p">:</span>
+            <span class="n">out</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">_log_interp</span><span class="p">(</span>
+                <span class="n">lev_samps</span><span class="o">=</span><span class="p">[</span><span class="n">lev1</span><span class="p">,</span> <span class="n">lev2</span><span class="p">],</span> <span class="n">var_samps</span><span class="o">=</span><span class="p">[</span><span class="n">var1</span><span class="p">,</span> <span class="n">var2</span><span class="p">],</span> <span class="n">level</span><span class="o">=</span><span class="n">level</span>
+            <span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">out</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">_lin_interp</span><span class="p">(</span>
+                <span class="n">lev_samps</span><span class="o">=</span><span class="p">[</span><span class="n">lev1</span><span class="p">,</span> <span class="n">lev2</span><span class="p">],</span> <span class="n">var_samps</span><span class="o">=</span><span class="p">[</span><span class="n">var1</span><span class="p">,</span> <span class="n">var2</span><span class="p">],</span> <span class="n">level</span><span class="o">=</span><span class="n">level</span>
+            <span class="p">)</span>
+        <span class="k">return</span> <span class="n">out</span></div>
+
+
+    <span class="nd">@classmethod</span>
+    <span class="k">def</span> <span class="nf">_check_lev_array</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">lev_array</span><span class="p">,</span> <span class="n">levels</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Check if the requested levels are consistent with the given</span>
+<span class="sd">        lev_array and if there are any nans in the lev_array.&quot;&quot;&quot;</span>
+
+        <span class="k">if</span> <span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">lev_array</span><span class="p">)</span><span class="o">.</span><span class="n">all</span><span class="p">():</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="s1">&#39;All pressure level height data is NaN!&#39;</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="n">nans</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">lev_array</span><span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s1">&#39;Level array shape: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">lev_array</span><span class="o">.</span><span class="n">shape</span><span class="p">))</span>
+
+        <span class="n">lowest_height</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">lev_array</span><span class="p">,</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+        <span class="n">highest_height</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">lev_array</span><span class="p">,</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+        <span class="n">bad_min</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="n">levels</span><span class="p">)</span> <span class="o">&lt;</span> <span class="n">lowest_height</span>
+        <span class="n">bad_max</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="n">levels</span><span class="p">)</span> <span class="o">&gt;</span> <span class="n">highest_height</span>
+
+        <span class="k">if</span> <span class="n">nans</span><span class="o">.</span><span class="n">any</span><span class="p">():</span>
+            <span class="n">nans</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">nans</span><span class="p">)</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Approximately </span><span class="si">{:.2f}% o</span><span class="s1">f the vertical level &#39;</span>
+                <span class="s1">&#39;array is NaN. Data will be interpolated or extrapolated &#39;</span>
+                <span class="s1">&#39;past these NaN values.&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="mi">100</span> <span class="o">*</span> <span class="n">nans</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span> <span class="o">/</span> <span class="n">nans</span><span class="o">.</span><span class="n">size</span><span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="c1"># This and the next if statement can return warnings in the case of</span>
+        <span class="c1"># pressure inversions, in which case the &quot;lowest&quot; or &quot;highest&quot; pressure</span>
+        <span class="c1"># does not correspond to the lowest or highest height. Interpolation</span>
+        <span class="c1"># can be performed without issue in this case.</span>
+        <span class="k">if</span> <span class="n">bad_min</span><span class="o">.</span><span class="n">any</span><span class="p">():</span>
+            <span class="n">bad_min</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">bad_min</span><span class="p">)</span>
+            <span class="n">lev_array</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">lev_array</span><span class="p">)</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Approximately </span><span class="si">{:.2f}% o</span><span class="s1">f the lowest vertical levels &#39;</span>
+                <span class="s1">&#39;(maximum value of </span><span class="si">{:.3f}</span><span class="s1">, minimum value of </span><span class="si">{:.3f}</span><span class="s1">) &#39;</span>
+                <span class="s1">&#39;were greater than the minimum requested level: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="mi">100</span> <span class="o">*</span> <span class="n">bad_min</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span> <span class="o">/</span> <span class="n">bad_min</span><span class="o">.</span><span class="n">size</span><span class="p">,</span>
+                    <span class="n">np</span><span class="o">.</span><span class="n">nanmax</span><span class="p">(</span><span class="n">lev_array</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">0</span><span class="p">]),</span>
+                    <span class="n">np</span><span class="o">.</span><span class="n">nanmin</span><span class="p">(</span><span class="n">lev_array</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">0</span><span class="p">]),</span>
+                    <span class="nb">min</span><span class="p">(</span><span class="n">levels</span><span class="p">),</span>
+                <span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">bad_max</span><span class="o">.</span><span class="n">any</span><span class="p">():</span>
+            <span class="n">bad_max</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">bad_max</span><span class="p">)</span>
+            <span class="n">lev_array</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">lev_array</span><span class="p">)</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Approximately </span><span class="si">{:.2f}% o</span><span class="s1">f the highest vertical levels &#39;</span>
+                <span class="s1">&#39;(minimum value of </span><span class="si">{:.3f}</span><span class="s1">, maximum value of </span><span class="si">{:.3f}</span><span class="s1">) &#39;</span>
+                <span class="s1">&#39;were lower than the maximum requested level: </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="mi">100</span> <span class="o">*</span> <span class="n">bad_max</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span> <span class="o">/</span> <span class="n">bad_max</span><span class="o">.</span><span class="n">size</span><span class="p">,</span>
+                    <span class="n">np</span><span class="o">.</span><span class="n">nanmin</span><span class="p">(</span><span class="n">lev_array</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">]),</span>
+                    <span class="n">np</span><span class="o">.</span><span class="n">nanmax</span><span class="p">(</span><span class="n">lev_array</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">]),</span>
+                    <span class="nb">max</span><span class="p">(</span><span class="n">levels</span><span class="p">),</span>
+                <span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="n">warn</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span></div>
+
+</pre></div>
+
+                </article>
+              
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+  <h1>Source code for sup3r.utilities.loss_metrics</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Content loss metrics for Sup3r&quot;&quot;&quot;</span>
+
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">ClassVar</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">tensorflow</span> <span class="k">as</span> <span class="nn">tf</span>
+<span class="kn">from</span> <span class="nn">tensorflow.keras.losses</span> <span class="kn">import</span> <span class="n">MeanAbsoluteError</span><span class="p">,</span> <span class="n">MeanSquaredError</span>
+
+
+<div class="viewcode-block" id="gaussian_kernel">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.gaussian_kernel.html#sup3r.utilities.loss_metrics.gaussian_kernel">[docs]</a>
+<span class="k">def</span> <span class="nf">gaussian_kernel</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">,</span> <span class="n">sigma</span><span class="o">=</span><span class="mf">1.0</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Gaussian kernel for mmd content loss</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    x1 : tf.tensor</span>
+<span class="sd">        synthetic generator output</span>
+<span class="sd">        (n_obs, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">    x2 : tf.tensor</span>
+<span class="sd">        high resolution data</span>
+<span class="sd">        (n_obs, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">    sigma : float</span>
+<span class="sd">        Standard deviation for gaussian kernel</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    tf.tensor</span>
+<span class="sd">        kernel output tensor</span>
+
+<span class="sd">    References</span>
+<span class="sd">    ----------</span>
+<span class="sd">    Following MMD implementation in https://github.com/lmjohns3/theanets</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="c1"># The expand dims + subtraction compares every entry for the dimension</span>
+    <span class="c1"># prior to the expanded dimension to every other entry. So expand_dims with</span>
+    <span class="c1"># axis=1 will compare every observation along axis=0 to every other</span>
+    <span class="c1"># observation along axis=0.</span>
+    <span class="n">result</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span>
+        <span class="o">-</span><span class="mf">0.5</span>
+        <span class="o">*</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_sum</span><span class="p">((</span><span class="n">tf</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="o">-</span> <span class="n">x2</span><span class="p">)</span> <span class="o">**</span> <span class="mi">2</span><span class="p">,</span> <span class="n">axis</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
+        <span class="o">/</span> <span class="n">sigma</span><span class="o">**</span><span class="mi">2</span>
+    <span class="p">)</span>
+    <span class="k">return</span> <span class="n">result</span></div>
+
+
+
+<div class="viewcode-block" id="ExpLoss">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.ExpLoss.html#sup3r.utilities.loss_metrics.ExpLoss">[docs]</a>
+<span class="k">class</span> <span class="nc">ExpLoss</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">losses</span><span class="o">.</span><span class="n">Loss</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Loss class for squared exponential difference&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="ExpLoss.__call__">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.ExpLoss.html#sup3r.utilities.loss_metrics.ExpLoss.__call__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Exponential difference loss function</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        x1 : tf.tensor</span>
+<span class="sd">            synthetic generator output</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        x2 : tf.tensor</span>
+<span class="sd">            high resolution data</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tf.tensor</span>
+<span class="sd">            0D tensor with loss value</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">tf</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">-</span><span class="p">((</span><span class="n">x1</span> <span class="o">-</span> <span class="n">x2</span><span class="p">)</span> <span class="o">**</span> <span class="mi">2</span><span class="p">)))</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="MseExpLoss">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.MseExpLoss.html#sup3r.utilities.loss_metrics.MseExpLoss">[docs]</a>
+<span class="k">class</span> <span class="nc">MseExpLoss</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">losses</span><span class="o">.</span><span class="n">Loss</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Loss class for mse + squared exponential difference&quot;&quot;&quot;</span>
+
+    <span class="n">MSE_LOSS</span> <span class="o">=</span> <span class="n">MeanSquaredError</span><span class="p">()</span>
+
+<div class="viewcode-block" id="MseExpLoss.__call__">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.MseExpLoss.html#sup3r.utilities.loss_metrics.MseExpLoss.__call__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Mse + Exponential difference loss function</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        x1 : tf.tensor</span>
+<span class="sd">            synthetic generator output</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        x2 : tf.tensor</span>
+<span class="sd">            high resolution data</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tf.tensor</span>
+<span class="sd">            0D tensor with loss value</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">mse</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">MSE_LOSS</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">)</span>
+        <span class="n">exp</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">tf</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">-</span><span class="p">((</span><span class="n">x1</span> <span class="o">-</span> <span class="n">x2</span><span class="p">)</span> <span class="o">**</span> <span class="mi">2</span><span class="p">)))</span>
+        <span class="k">return</span> <span class="n">mse</span> <span class="o">+</span> <span class="n">exp</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="MmdLoss">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.MmdLoss.html#sup3r.utilities.loss_metrics.MmdLoss">[docs]</a>
+<span class="k">class</span> <span class="nc">MmdLoss</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">losses</span><span class="o">.</span><span class="n">Loss</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Loss class for max mean discrepancy loss&quot;&quot;&quot;</span>
+
+<div class="viewcode-block" id="MmdLoss.__call__">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.MmdLoss.html#sup3r.utilities.loss_metrics.MmdLoss.__call__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">,</span> <span class="n">sigma</span><span class="o">=</span><span class="mf">1.0</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Maximum mean discrepancy (MMD) based on Gaussian kernel function</span>
+<span class="sd">        for keras models</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        x1 : tf.tensor</span>
+<span class="sd">            synthetic generator output</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        x2 : tf.tensor</span>
+<span class="sd">            high resolution data</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        sigma : float</span>
+<span class="sd">            standard deviation for gaussian kernel</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tf.tensor</span>
+<span class="sd">            0D tensor with loss value</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">mmd</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="n">gaussian_kernel</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">x1</span><span class="p">,</span> <span class="n">sigma</span><span class="p">))</span>
+        <span class="n">mmd</span> <span class="o">+=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="n">gaussian_kernel</span><span class="p">(</span><span class="n">x2</span><span class="p">,</span> <span class="n">x2</span><span class="p">,</span> <span class="n">sigma</span><span class="p">))</span>
+        <span class="n">mmd</span> <span class="o">-=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="mi">2</span> <span class="o">*</span> <span class="n">gaussian_kernel</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">,</span> <span class="n">sigma</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">mmd</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="MaterialDerivativeLoss">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.MaterialDerivativeLoss.html#sup3r.utilities.loss_metrics.MaterialDerivativeLoss">[docs]</a>
+<span class="k">class</span> <span class="nc">MaterialDerivativeLoss</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">losses</span><span class="o">.</span><span class="n">Loss</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Loss class for the material derivative. This is the left hand side of</span>
+<span class="sd">    the Navier-Stokes equation and is equal to internal + external forces</span>
+<span class="sd">    divided by density.</span>
+
+<span class="sd">    References</span>
+<span class="sd">    ----------</span>
+<span class="sd">    https://en.wikipedia.org/wiki/Material_derivative</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">LOSS_METRIC</span> <span class="o">=</span> <span class="n">MeanAbsoluteError</span><span class="p">()</span>
+
+    <span class="k">def</span> <span class="nf">_derivative</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Custom derivative function for compatibility with tensorflow.</span>
+
+<span class="sd">        Note</span>
+<span class="sd">        ----</span>
+<span class="sd">        Matches np.gradient by using the central difference approximation.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        x : tf.Tensor</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal)</span>
+<span class="sd">        axis : int</span>
+<span class="sd">            Axis to take derivative over</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">axis</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">tf</span><span class="o">.</span><span class="n">concat</span><span class="p">(</span>
+                <span class="p">[</span>
+                    <span class="n">x</span><span class="p">[:,</span> <span class="mi">1</span><span class="p">:</span><span class="mi">2</span><span class="p">]</span> <span class="o">-</span> <span class="n">x</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">:</span><span class="mi">1</span><span class="p">],</span>
+                    <span class="p">(</span><span class="n">x</span><span class="p">[:,</span> <span class="mi">2</span><span class="p">:]</span> <span class="o">-</span> <span class="n">x</span><span class="p">[:,</span> <span class="p">:</span><span class="o">-</span><span class="mi">2</span><span class="p">])</span> <span class="o">/</span> <span class="mi">2</span><span class="p">,</span>
+                    <span class="n">x</span><span class="p">[:,</span> <span class="o">-</span><span class="mi">1</span><span class="p">:]</span> <span class="o">-</span> <span class="n">x</span><span class="p">[:,</span> <span class="o">-</span><span class="mi">2</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span>
+                <span class="p">],</span>
+                <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="k">if</span> <span class="n">axis</span> <span class="o">==</span> <span class="mi">2</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">tf</span><span class="o">.</span><span class="n">concat</span><span class="p">(</span>
+                <span class="p">[</span>
+                    <span class="n">x</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">1</span><span class="p">:</span><span class="mi">2</span><span class="p">,</span> <span class="p">:]</span> <span class="o">-</span> <span class="n">x</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">0</span><span class="p">:</span><span class="mi">1</span><span class="p">,</span> <span class="p">:],</span>
+                    <span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">2</span><span class="p">:,</span> <span class="p">:]</span> <span class="o">-</span> <span class="n">x</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="p">:</span><span class="o">-</span><span class="mi">2</span><span class="p">,</span> <span class="p">:])</span> <span class="o">/</span> <span class="mi">2</span><span class="p">,</span>
+                    <span class="n">x</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">:,</span> <span class="p">:]</span> <span class="o">-</span> <span class="n">x</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="o">-</span><span class="mi">2</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="p">:],</span>
+                <span class="p">],</span>
+                <span class="n">axis</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
+            <span class="p">)</span>
+        <span class="k">if</span> <span class="n">axis</span> <span class="o">==</span> <span class="mi">3</span><span class="p">:</span>
+            <span class="k">return</span> <span class="n">tf</span><span class="o">.</span><span class="n">concat</span><span class="p">(</span>
+                <span class="p">[</span>
+                    <span class="n">x</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">1</span><span class="p">:</span><span class="mi">2</span><span class="p">]</span> <span class="o">-</span> <span class="n">x</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">0</span><span class="p">:</span><span class="mi">1</span><span class="p">],</span>
+                    <span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="mi">2</span><span class="p">:]</span> <span class="o">-</span> <span class="n">x</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="p">:</span><span class="o">-</span><span class="mi">2</span><span class="p">])</span> <span class="o">/</span> <span class="mi">2</span><span class="p">,</span>
+                    <span class="n">x</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">:]</span> <span class="o">-</span> <span class="n">x</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="o">-</span><span class="mi">2</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span>
+                <span class="p">],</span>
+                <span class="n">axis</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span>
+            <span class="p">)</span>
+
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s1">._derivative received &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;axis=</span><span class="si">{</span><span class="n">axis</span><span class="si">}</span><span class="s1">. This is meant to compute only temporal &#39;</span>
+            <span class="s1">&#39;(axis=3) or spatial (axis=1/2) derivatives for tensors &#39;</span>
+            <span class="s1">&#39;of shape (n_obs, spatial_1, spatial_2, temporal)&#39;</span>
+        <span class="p">)</span>
+        <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="nf">_compute_md</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">fidx</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Compute material derivative the feature given by the index fidx.</span>
+<span class="sd">        It is assumed that for a given feature index fidx there is a pair of</span>
+<span class="sd">        wind components u/v given by 2 * (fidx // 2) and 2 * (fidx // 2) + 1</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        x : tf.tensor</span>
+<span class="sd">            synthetic output or high resolution data</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        fidx : int</span>
+<span class="sd">            Feature index to compute material derivative for.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">uidx</span> <span class="o">=</span> <span class="mi">2</span> <span class="o">*</span> <span class="p">(</span><span class="n">fidx</span> <span class="o">//</span> <span class="mi">2</span><span class="p">)</span>
+        <span class="n">vidx</span> <span class="o">=</span> <span class="mi">2</span> <span class="o">*</span> <span class="p">(</span><span class="n">fidx</span> <span class="o">//</span> <span class="mi">2</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span>
+        <span class="c1"># df/dt</span>
+        <span class="n">x_div</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_derivative</span><span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">fidx</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
+        <span class="c1"># u * df/dx</span>
+        <span class="n">x_div</span> <span class="o">+=</span> <span class="n">tf</span><span class="o">.</span><span class="n">math</span><span class="o">.</span><span class="n">multiply</span><span class="p">(</span>
+            <span class="n">x</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">uidx</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">_derivative</span><span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">fidx</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+        <span class="p">)</span>
+        <span class="c1"># v * df/dy</span>
+        <span class="n">x_div</span> <span class="o">+=</span> <span class="n">tf</span><span class="o">.</span><span class="n">math</span><span class="o">.</span><span class="n">multiply</span><span class="p">(</span>
+            <span class="n">x</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">vidx</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">_derivative</span><span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="o">...</span><span class="p">,</span> <span class="n">fidx</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+        <span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">x_div</span>
+
+<div class="viewcode-block" id="MaterialDerivativeLoss.__call__">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.MaterialDerivativeLoss.html#sup3r.utilities.loss_metrics.MaterialDerivativeLoss.__call__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Custom content loss that encourages accuracy of the material</span>
+<span class="sd">        derivative. This assumes that the first 2 * N features are N u/v</span>
+<span class="sd">        wind components at different hub heights and that the total number of</span>
+<span class="sd">        features is either 2 * N or 2 * N + 1</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        x1 : tf.tensor</span>
+<span class="sd">            synthetic generator output</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        x2 : tf.tensor</span>
+<span class="sd">            high resolution data</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tf.tensor</span>
+<span class="sd">            0D tensor with loss value</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">hub_heights</span> <span class="o">=</span> <span class="n">x1</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">//</span> <span class="mi">2</span>
+
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="sa">f</span><span class="s1">&#39;The </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s1"> is meant to be used on &#39;</span>
+            <span class="s1">&#39;spatiotemporal data only. Received tensor(s) that are not 5D&#39;</span>
+        <span class="p">)</span>
+        <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">x1</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">5</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">x2</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">5</span><span class="p">,</span> <span class="n">msg</span>
+
+        <span class="n">x1_div</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">stack</span><span class="p">(</span>
+            <span class="p">[</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_compute_md</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">fidx</span><span class="o">=</span><span class="n">i</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">hub_heights</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
+            <span class="p">]</span>
+        <span class="p">)</span>
+        <span class="n">x2_div</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">stack</span><span class="p">(</span>
+            <span class="p">[</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_compute_md</span><span class="p">(</span><span class="n">x2</span><span class="p">,</span> <span class="n">fidx</span><span class="o">=</span><span class="n">i</span><span class="p">)</span>
+                <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">hub_heights</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
+            <span class="p">]</span>
+        <span class="p">)</span>
+
+        <span class="n">mae</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">LOSS_METRIC</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">)</span>
+        <span class="n">div_mae</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">LOSS_METRIC</span><span class="p">(</span><span class="n">x1_div</span><span class="p">,</span> <span class="n">x2_div</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="p">(</span><span class="n">mae</span> <span class="o">+</span> <span class="n">div_mae</span><span class="p">)</span> <span class="o">/</span> <span class="mi">2</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="MmdMseLoss">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.MmdMseLoss.html#sup3r.utilities.loss_metrics.MmdMseLoss">[docs]</a>
+<span class="k">class</span> <span class="nc">MmdMseLoss</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">losses</span><span class="o">.</span><span class="n">Loss</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Loss class for MMD + MSE&quot;&quot;&quot;</span>
+
+    <span class="n">MMD_LOSS</span> <span class="o">=</span> <span class="n">MmdLoss</span><span class="p">()</span>
+    <span class="n">MSE_LOSS</span> <span class="o">=</span> <span class="n">MeanSquaredError</span><span class="p">()</span>
+
+<div class="viewcode-block" id="MmdMseLoss.__call__">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.MmdMseLoss.html#sup3r.utilities.loss_metrics.MmdMseLoss.__call__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">,</span> <span class="n">sigma</span><span class="o">=</span><span class="mf">1.0</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Maximum mean discrepancy (MMD) based on Gaussian kernel function</span>
+<span class="sd">        for keras models plus the typical MSE loss.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        x1 : tf.tensor</span>
+<span class="sd">            synthetic generator output</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        x2 : tf.tensor</span>
+<span class="sd">            high resolution data</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        sigma : float</span>
+<span class="sd">            standard deviation for gaussian kernel</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tf.tensor</span>
+<span class="sd">            0D tensor with loss value</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">mmd</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">MMD_LOSS</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">,</span> <span class="n">sigma</span><span class="o">=</span><span class="n">sigma</span><span class="p">)</span>
+        <span class="n">mse</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">MSE_LOSS</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">)</span>
+        <span class="k">return</span> <span class="p">(</span><span class="n">mmd</span> <span class="o">+</span> <span class="n">mse</span><span class="p">)</span> <span class="o">/</span> <span class="mi">2</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="CoarseMseLoss">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.CoarseMseLoss.html#sup3r.utilities.loss_metrics.CoarseMseLoss">[docs]</a>
+<span class="k">class</span> <span class="nc">CoarseMseLoss</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">losses</span><span class="o">.</span><span class="n">Loss</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Loss class for coarse mse on spatial average of 5D tensor&quot;&quot;&quot;</span>
+
+    <span class="n">MSE_LOSS</span> <span class="o">=</span> <span class="n">MeanSquaredError</span><span class="p">()</span>
+
+<div class="viewcode-block" id="CoarseMseLoss.__call__">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.CoarseMseLoss.html#sup3r.utilities.loss_metrics.CoarseMseLoss.__call__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Exponential difference loss function</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        x1 : tf.tensor</span>
+<span class="sd">            synthetic generator output</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        x2 : tf.tensor</span>
+<span class="sd">            high resolution data</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tf.tensor</span>
+<span class="sd">            0D tensor with loss value</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">x1_coarse</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">))</span>
+        <span class="n">x2_coarse</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="n">x2</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">))</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">MSE_LOSS</span><span class="p">(</span><span class="n">x1_coarse</span><span class="p">,</span> <span class="n">x2_coarse</span><span class="p">)</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="SpatialExtremesOnlyLoss">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.html#sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss">[docs]</a>
+<span class="k">class</span> <span class="nc">SpatialExtremesOnlyLoss</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">losses</span><span class="o">.</span><span class="n">Loss</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Loss class that encourages accuracy of the min/max values in the</span>
+<span class="sd">    spatial domain. This does not include an additional MAE term&quot;&quot;&quot;</span>
+
+    <span class="n">MAE_LOSS</span> <span class="o">=</span> <span class="n">MeanAbsoluteError</span><span class="p">()</span>
+
+<div class="viewcode-block" id="SpatialExtremesOnlyLoss.__call__">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.html#sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.__call__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Custom content loss that encourages temporal min/max accuracy</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        x1 : tf.tensor</span>
+<span class="sd">            synthetic generator output</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, features)</span>
+<span class="sd">        x2 : tf.tensor</span>
+<span class="sd">            high resolution data</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, features)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tf.tensor</span>
+<span class="sd">            0D tensor with loss value</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">x1_min</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_min</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">))</span>
+        <span class="n">x2_min</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_min</span><span class="p">(</span><span class="n">x2</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">))</span>
+
+        <span class="n">x1_max</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_max</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">))</span>
+        <span class="n">x2_max</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_max</span><span class="p">(</span><span class="n">x2</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">))</span>
+
+        <span class="n">mae_min</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">MAE_LOSS</span><span class="p">(</span><span class="n">x1_min</span><span class="p">,</span> <span class="n">x2_min</span><span class="p">)</span>
+        <span class="n">mae_max</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">MAE_LOSS</span><span class="p">(</span><span class="n">x1_max</span><span class="p">,</span> <span class="n">x2_max</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="p">(</span><span class="n">mae_min</span> <span class="o">+</span> <span class="n">mae_max</span><span class="p">)</span> <span class="o">/</span> <span class="mi">2</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="SpatialExtremesLoss">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesLoss.html#sup3r.utilities.loss_metrics.SpatialExtremesLoss">[docs]</a>
+<span class="k">class</span> <span class="nc">SpatialExtremesLoss</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">losses</span><span class="o">.</span><span class="n">Loss</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Loss class that encourages accuracy of the min/max values in the</span>
+<span class="sd">    spatial domain&quot;&quot;&quot;</span>
+
+    <span class="n">MAE_LOSS</span> <span class="o">=</span> <span class="n">MeanAbsoluteError</span><span class="p">()</span>
+    <span class="n">EX_LOSS</span> <span class="o">=</span> <span class="n">SpatialExtremesOnlyLoss</span><span class="p">()</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">weight</span><span class="o">=</span><span class="mf">1.0</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize the loss with given weight</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        weight : float</span>
+<span class="sd">            Weight for min/max loss terms. Setting this to zero turns</span>
+<span class="sd">            loss into MAE.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_weight</span> <span class="o">=</span> <span class="n">weight</span>
+
+<div class="viewcode-block" id="SpatialExtremesLoss.__call__">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesLoss.html#sup3r.utilities.loss_metrics.SpatialExtremesLoss.__call__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Custom content loss that encourages temporal min/max accuracy</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        x1 : tf.tensor</span>
+<span class="sd">            synthetic generator output</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, features)</span>
+<span class="sd">        x2 : tf.tensor</span>
+<span class="sd">            high resolution data</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, features)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tf.tensor</span>
+<span class="sd">            0D tensor with loss value</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">mae</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">MAE_LOSS</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">)</span>
+        <span class="n">ex_mae</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">EX_LOSS</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="p">(</span><span class="n">mae</span> <span class="o">+</span> <span class="mi">2</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">_weight</span> <span class="o">*</span> <span class="n">ex_mae</span><span class="p">)</span> <span class="o">/</span> <span class="mi">3</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="TemporalExtremesOnlyLoss">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.html#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss">[docs]</a>
+<span class="k">class</span> <span class="nc">TemporalExtremesOnlyLoss</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">losses</span><span class="o">.</span><span class="n">Loss</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Loss class that encourages accuracy of the min/max values in the</span>
+<span class="sd">    timeseries. This does not include an additional mae term&quot;&quot;&quot;</span>
+
+    <span class="n">MAE_LOSS</span> <span class="o">=</span> <span class="n">MeanAbsoluteError</span><span class="p">()</span>
+
+<div class="viewcode-block" id="TemporalExtremesOnlyLoss.__call__">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.html#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.__call__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Custom content loss that encourages temporal min/max accuracy</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        x1 : tf.tensor</span>
+<span class="sd">            synthetic generator output</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        x2 : tf.tensor</span>
+<span class="sd">            high resolution data</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tf.tensor</span>
+<span class="sd">            0D tensor with loss value</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">x1_min</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_min</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
+        <span class="n">x2_min</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_min</span><span class="p">(</span><span class="n">x2</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
+
+        <span class="n">x1_max</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_max</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
+        <span class="n">x2_max</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_max</span><span class="p">(</span><span class="n">x2</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
+
+        <span class="n">mae_min</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">MAE_LOSS</span><span class="p">(</span><span class="n">x1_min</span><span class="p">,</span> <span class="n">x2_min</span><span class="p">)</span>
+        <span class="n">mae_max</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">MAE_LOSS</span><span class="p">(</span><span class="n">x1_max</span><span class="p">,</span> <span class="n">x2_max</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="p">(</span><span class="n">mae_min</span> <span class="o">+</span> <span class="n">mae_max</span><span class="p">)</span> <span class="o">/</span> <span class="mi">2</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="TemporalExtremesLoss">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesLoss.html#sup3r.utilities.loss_metrics.TemporalExtremesLoss">[docs]</a>
+<span class="k">class</span> <span class="nc">TemporalExtremesLoss</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">losses</span><span class="o">.</span><span class="n">Loss</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Loss class that encourages accuracy of the min/max values in the</span>
+<span class="sd">    timeseries&quot;&quot;&quot;</span>
+
+    <span class="n">MAE_LOSS</span> <span class="o">=</span> <span class="n">MeanAbsoluteError</span><span class="p">()</span>
+    <span class="n">EX_LOSS</span> <span class="o">=</span> <span class="n">TemporalExtremesOnlyLoss</span><span class="p">()</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">weight</span><span class="o">=</span><span class="mf">1.0</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize the loss with given weight</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        weight : float</span>
+<span class="sd">            Weight for min/max loss terms. Setting this to zero turns</span>
+<span class="sd">            loss into MAE.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_weight</span> <span class="o">=</span> <span class="n">weight</span>
+
+<div class="viewcode-block" id="TemporalExtremesLoss.__call__">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesLoss.html#sup3r.utilities.loss_metrics.TemporalExtremesLoss.__call__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Custom content loss that encourages temporal min/max accuracy</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        x1 : tf.tensor</span>
+<span class="sd">            synthetic generator output</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        x2 : tf.tensor</span>
+<span class="sd">            high resolution data</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tf.tensor</span>
+<span class="sd">            0D tensor with loss value</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">mae</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">MAE_LOSS</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">)</span>
+        <span class="n">ex_mae</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">EX_LOSS</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="p">(</span><span class="n">mae</span> <span class="o">+</span> <span class="mi">2</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">_weight</span> <span class="o">*</span> <span class="n">ex_mae</span><span class="p">)</span> <span class="o">/</span> <span class="mi">3</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="SpatiotemporalExtremesLoss">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.html#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss">[docs]</a>
+<span class="k">class</span> <span class="nc">SpatiotemporalExtremesLoss</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">losses</span><span class="o">.</span><span class="n">Loss</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Loss class that encourages accuracy of the min/max values across both</span>
+<span class="sd">    space and time&quot;&quot;&quot;</span>
+
+    <span class="n">MAE_LOSS</span> <span class="o">=</span> <span class="n">MeanAbsoluteError</span><span class="p">()</span>
+    <span class="n">S_EX_LOSS</span> <span class="o">=</span> <span class="n">SpatialExtremesOnlyLoss</span><span class="p">()</span>
+    <span class="n">T_EX_LOSS</span> <span class="o">=</span> <span class="n">TemporalExtremesOnlyLoss</span><span class="p">()</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">spatial_weight</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span> <span class="n">temporal_weight</span><span class="o">=</span><span class="mf">1.0</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize the loss with given weight</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        spatial_weight : float</span>
+<span class="sd">            Weight for spatial min/max loss terms.</span>
+<span class="sd">        temporal_weight : float</span>
+<span class="sd">            Weight for temporal min/max loss terms.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">s_weight</span> <span class="o">=</span> <span class="n">spatial_weight</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">t_weight</span> <span class="o">=</span> <span class="n">temporal_weight</span>
+
+<div class="viewcode-block" id="SpatiotemporalExtremesLoss.__call__">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.html#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.__call__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Custom content loss that encourages spatiotemporal min/max accuracy.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        x1 : tf.tensor</span>
+<span class="sd">            synthetic generator output</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        x2 : tf.tensor</span>
+<span class="sd">            high resolution data</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tf.tensor</span>
+<span class="sd">            0D tensor with loss value</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">mae</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">MAE_LOSS</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">)</span>
+        <span class="n">s_ex_mae</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">S_EX_LOSS</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">)</span>
+        <span class="n">t_ex_mae</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">T_EX_LOSS</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">)</span>
+        <span class="k">return</span> <span class="p">(</span>
+            <span class="n">mae</span> <span class="o">+</span> <span class="mi">2</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">s_weight</span> <span class="o">*</span> <span class="n">s_ex_mae</span> <span class="o">+</span> <span class="mi">2</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_weight</span> <span class="o">*</span> <span class="n">t_ex_mae</span>
+        <span class="p">)</span> <span class="o">/</span> <span class="mi">5</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="SpatialFftOnlyLoss">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.html#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss">[docs]</a>
+<span class="k">class</span> <span class="nc">SpatialFftOnlyLoss</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">losses</span><span class="o">.</span><span class="n">Loss</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Loss class that encourages accuracy of the spatial frequency spectrum&quot;&quot;&quot;</span>
+
+    <span class="n">MAE_LOSS</span> <span class="o">=</span> <span class="n">MeanAbsoluteError</span><span class="p">()</span>
+
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">_freq_weights</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get product of squared frequencies to weight frequency amplitudes&quot;&quot;&quot;</span>
+        <span class="n">k0</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">k</span><span class="o">**</span><span class="mi">2</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">])])</span>
+        <span class="n">k1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">k</span><span class="o">**</span><span class="mi">2</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">])])</span>
+        <span class="n">freqs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">multiply</span><span class="o">.</span><span class="n">outer</span><span class="p">(</span><span class="n">k0</span><span class="p">,</span> <span class="n">k1</span><span class="p">)</span>
+        <span class="n">freqs</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">convert_to_tensor</span><span class="p">(</span><span class="n">freqs</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">newaxis</span><span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">newaxis</span><span class="p">])</span>
+        <span class="k">return</span> <span class="n">tf</span><span class="o">.</span><span class="n">cast</span><span class="p">(</span><span class="n">freqs</span><span class="p">,</span> <span class="n">x</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="nf">_fft</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Apply needed transpositions and fft operation.&quot;&quot;&quot;</span>
+        <span class="n">x_hat</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">perm</span><span class="o">=</span><span class="p">[</span><span class="mi">3</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">])</span>
+        <span class="n">x_hat</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">signal</span><span class="o">.</span><span class="n">fft2d</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">cast</span><span class="p">(</span><span class="n">x_hat</span><span class="p">,</span> <span class="n">tf</span><span class="o">.</span><span class="n">complex64</span><span class="p">))</span>
+        <span class="n">x_hat</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">x_hat</span><span class="p">,</span> <span class="n">perm</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">0</span><span class="p">])</span>
+        <span class="n">x_hat</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">cast</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">x_hat</span><span class="p">),</span> <span class="n">x</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span>
+        <span class="n">x_hat</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">math</span><span class="o">.</span><span class="n">multiply</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_freq_weights</span><span class="p">(</span><span class="n">x</span><span class="p">),</span> <span class="n">x_hat</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">tf</span><span class="o">.</span><span class="n">math</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">+</span> <span class="n">x_hat</span><span class="p">)</span>
+
+<div class="viewcode-block" id="SpatialFftOnlyLoss.__call__">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.html#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.__call__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Custom content loss that encourages frequency domain accuracy</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        x1 : tf.tensor</span>
+<span class="sd">            synthetic generator output</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, features)</span>
+<span class="sd">        x2 : tf.tensor</span>
+<span class="sd">            high resolution data</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, features)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tf.tensor</span>
+<span class="sd">            0D tensor with loss value</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">x1_hat</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_fft</span><span class="p">(</span><span class="n">x1</span><span class="p">)</span>
+        <span class="n">x2_hat</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_fft</span><span class="p">(</span><span class="n">x2</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">MAE_LOSS</span><span class="p">(</span><span class="n">x1_hat</span><span class="p">,</span> <span class="n">x2_hat</span><span class="p">)</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="SpatiotemporalFftOnlyLoss">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.html#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss">[docs]</a>
+<span class="k">class</span> <span class="nc">SpatiotemporalFftOnlyLoss</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">losses</span><span class="o">.</span><span class="n">Loss</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Loss class that encourages accuracy of the spatiotemporal frequency</span>
+<span class="sd">    spectrum&quot;&quot;&quot;</span>
+
+    <span class="n">MAE_LOSS</span> <span class="o">=</span> <span class="n">MeanAbsoluteError</span><span class="p">()</span>
+
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">_freq_weights</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Get product of squared frequencies to weight frequency amplitudes&quot;&quot;&quot;</span>
+        <span class="n">k0</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">k</span><span class="o">**</span><span class="mi">2</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">])])</span>
+        <span class="n">k1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">k</span><span class="o">**</span><span class="mi">2</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">])])</span>
+        <span class="n">f</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">f</span><span class="o">**</span><span class="mi">2</span> <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">3</span><span class="p">])])</span>
+        <span class="n">freqs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">multiply</span><span class="o">.</span><span class="n">outer</span><span class="p">(</span><span class="n">k0</span><span class="p">,</span> <span class="n">k1</span><span class="p">)</span>
+        <span class="n">freqs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">multiply</span><span class="o">.</span><span class="n">outer</span><span class="p">(</span><span class="n">freqs</span><span class="p">,</span> <span class="n">f</span><span class="p">)</span>
+        <span class="n">freqs</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">convert_to_tensor</span><span class="p">(</span><span class="n">freqs</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">newaxis</span><span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">newaxis</span><span class="p">])</span>
+        <span class="k">return</span> <span class="n">tf</span><span class="o">.</span><span class="n">cast</span><span class="p">(</span><span class="n">freqs</span><span class="p">,</span> <span class="n">x</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span>
+
+    <span class="k">def</span> <span class="nf">_fft</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Apply needed transpositions and fft operation.&quot;&quot;&quot;</span>
+        <span class="n">x_hat</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">perm</span><span class="o">=</span><span class="p">[</span><span class="mi">4</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">])</span>
+        <span class="n">x_hat</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">signal</span><span class="o">.</span><span class="n">fft3d</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">cast</span><span class="p">(</span><span class="n">x_hat</span><span class="p">,</span> <span class="n">tf</span><span class="o">.</span><span class="n">complex64</span><span class="p">))</span>
+        <span class="n">x_hat</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">x_hat</span><span class="p">,</span> <span class="n">perm</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">0</span><span class="p">])</span>
+        <span class="n">x_hat</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">cast</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">x_hat</span><span class="p">),</span> <span class="n">x</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span>
+        <span class="n">x_hat</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">math</span><span class="o">.</span><span class="n">multiply</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_freq_weights</span><span class="p">(</span><span class="n">x</span><span class="p">),</span> <span class="n">x_hat</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">tf</span><span class="o">.</span><span class="n">math</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="mi">1</span> <span class="o">+</span> <span class="n">x_hat</span><span class="p">)</span>
+
+<div class="viewcode-block" id="SpatiotemporalFftOnlyLoss.__call__">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.html#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.__call__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Custom content loss that encourages frequency domain accuracy</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        x1 : tf.tensor</span>
+<span class="sd">            synthetic generator output</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        x2 : tf.tensor</span>
+<span class="sd">            high resolution data</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tf.tensor</span>
+<span class="sd">            0D tensor with loss value</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">x1_hat</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_fft</span><span class="p">(</span><span class="n">x1</span><span class="p">)</span>
+        <span class="n">x2_hat</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_fft</span><span class="p">(</span><span class="n">x2</span><span class="p">)</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">MAE_LOSS</span><span class="p">(</span><span class="n">x1_hat</span><span class="p">,</span> <span class="n">x2_hat</span><span class="p">)</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="StExtremesFftLoss">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.StExtremesFftLoss.html#sup3r.utilities.loss_metrics.StExtremesFftLoss">[docs]</a>
+<span class="k">class</span> <span class="nc">StExtremesFftLoss</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">losses</span><span class="o">.</span><span class="n">Loss</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Loss class that encourages accuracy of the min/max values across both</span>
+<span class="sd">    space and time as well as frequency domain accuracy.&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span> <span class="n">spatial_weight</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span> <span class="n">temporal_weight</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span> <span class="n">fft_weight</span><span class="o">=</span><span class="mf">1.0</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize the loss with given weight</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        spatial_weight : float</span>
+<span class="sd">            Weight for spatial min/max loss terms.</span>
+<span class="sd">        temporal_weight : float</span>
+<span class="sd">            Weight for temporal min/max loss terms.</span>
+<span class="sd">        fft_weight : float</span>
+<span class="sd">            Weight for the fft loss term.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">st_ex_loss</span> <span class="o">=</span> <span class="n">SpatiotemporalExtremesLoss</span><span class="p">(</span>
+            <span class="n">spatial_weight</span><span class="p">,</span> <span class="n">temporal_weight</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">fft_loss</span> <span class="o">=</span> <span class="n">SpatiotemporalFftOnlyLoss</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">fft_weight</span> <span class="o">=</span> <span class="n">fft_weight</span>
+
+<div class="viewcode-block" id="StExtremesFftLoss.__call__">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.StExtremesFftLoss.html#sup3r.utilities.loss_metrics.StExtremesFftLoss.__call__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Custom content loss that encourages spatiotemporal min/max accuracy</span>
+<span class="sd">        and fft accuracy.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        x1 : tf.tensor</span>
+<span class="sd">            synthetic generator output</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        x2 : tf.tensor</span>
+<span class="sd">            high resolution data</span>
+<span class="sd">            (n_observations, spatial_1, spatial_2, temporal, features)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tf.tensor</span>
+<span class="sd">            0D tensor with loss value</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="p">(</span>
+            <span class="mi">5</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">st_ex_loss</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">)</span>
+            <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">fft_weight</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">fft_loss</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">)</span>
+        <span class="p">)</span> <span class="o">/</span> <span class="mi">6</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="LowResLoss">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.LowResLoss.html#sup3r.utilities.loss_metrics.LowResLoss">[docs]</a>
+<span class="k">class</span> <span class="nc">LowResLoss</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">losses</span><span class="o">.</span><span class="n">Loss</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Content loss that is calculated by coarsening the synthetic and true</span>
+<span class="sd">    high-resolution data pairs and then performing the pointwise content loss</span>
+<span class="sd">    on the low-resolution fields&quot;&quot;&quot;</span>
+
+    <span class="n">EX_LOSS_METRICS</span><span class="p">:</span> <span class="n">ClassVar</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="s1">&#39;SpatialExtremesOnlyLoss&#39;</span><span class="p">:</span> <span class="n">SpatialExtremesOnlyLoss</span><span class="p">,</span>
+        <span class="s1">&#39;TemporalExtremesOnlyLoss&#39;</span><span class="p">:</span> <span class="n">TemporalExtremesOnlyLoss</span><span class="p">,</span>
+    <span class="p">}</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span>
+        <span class="n">s_enhance</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+        <span class="n">t_enhance</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+        <span class="n">t_method</span><span class="o">=</span><span class="s1">&#39;average&#39;</span><span class="p">,</span>
+        <span class="n">tf_loss</span><span class="o">=</span><span class="s1">&#39;MeanSquaredError&#39;</span><span class="p">,</span>
+        <span class="n">ex_loss</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+    <span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Initialize the loss with given weight</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        s_enhance : int</span>
+<span class="sd">            factor by which to coarsen spatial dimensions. 1 will keep the</span>
+<span class="sd">            spatial axes as high-res</span>
+<span class="sd">        t_enhance : int</span>
+<span class="sd">            factor by which to coarsen temporal dimension. 1 will keep the</span>
+<span class="sd">            temporal axes as high-res</span>
+<span class="sd">        t_method : str</span>
+<span class="sd">            Accepted options: [subsample, average]</span>
+<span class="sd">            Subsample will take every t_enhance-th time step, average will</span>
+<span class="sd">            average over t_enhance time steps</span>
+<span class="sd">        tf_loss : str</span>
+<span class="sd">            The tensorflow loss function to operate on the low-res fields. Must</span>
+<span class="sd">            be the name of a loss class that can be retrieved from</span>
+<span class="sd">            ``tf.keras.losses`` e.g., &quot;MeanSquaredError&quot; or &quot;MeanAbsoluteError&quot;</span>
+<span class="sd">        ex_loss : None | str</span>
+<span class="sd">            Optional additional loss metric evaluating the spatial or temporal</span>
+<span class="sd">            extremes of the high-res data. Can be &quot;SpatialExtremesOnlyLoss&quot; or</span>
+<span class="sd">            &quot;TemporalExtremesOnlyLoss&quot; (keys in ``EX_LOSS_METRICS``).</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span> <span class="o">=</span> <span class="n">s_enhance</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_t_enhance</span> <span class="o">=</span> <span class="n">t_enhance</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_t_method</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">t_method</span><span class="p">)</span><span class="o">.</span><span class="n">casefold</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_tf_loss</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">losses</span><span class="p">,</span> <span class="n">tf_loss</span><span class="p">)()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_ex_loss</span> <span class="o">=</span> <span class="n">ex_loss</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ex_loss</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_ex_loss</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">EX_LOSS_METRICS</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_ex_loss</span><span class="p">]()</span>
+
+    <span class="k">def</span> <span class="nf">_s_coarsen_4d_tensor</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">tensor</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Perform spatial coarsening on a 4D tensor of shape</span>
+<span class="sd">        (n_obs, spatial_1, spatial_2, features)&quot;&quot;&quot;</span>
+        <span class="n">shape</span> <span class="o">=</span> <span class="n">tensor</span><span class="o">.</span><span class="n">shape</span>
+        <span class="n">tensor</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span>
+            <span class="n">tensor</span><span class="p">,</span>
+            <span class="p">(</span>
+                <span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
+                <span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">//</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">,</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">,</span>
+                <span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">//</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">,</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">,</span>
+                <span class="n">shape</span><span class="p">[</span><span class="mi">3</span><span class="p">],</span>
+            <span class="p">),</span>
+        <span class="p">)</span>
+        <span class="n">tensor</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">math</span><span class="o">.</span><span class="n">reduce_sum</span><span class="p">(</span><span class="n">tensor</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">4</span><span class="p">))</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="o">**</span><span class="mi">2</span>
+        <span class="k">return</span> <span class="n">tensor</span>
+
+    <span class="k">def</span> <span class="nf">_s_coarsen_5d_tensor</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">tensor</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Perform spatial coarsening on a 5D tensor of shape</span>
+<span class="sd">        (n_obs, spatial_1, spatial_2, time, features)&quot;&quot;&quot;</span>
+        <span class="n">shape</span> <span class="o">=</span> <span class="n">tensor</span><span class="o">.</span><span class="n">shape</span>
+        <span class="n">tensor</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span>
+            <span class="n">tensor</span><span class="p">,</span>
+            <span class="p">(</span>
+                <span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
+                <span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">//</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">,</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">,</span>
+                <span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">//</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">,</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="p">,</span>
+                <span class="n">shape</span><span class="p">[</span><span class="mi">3</span><span class="p">],</span>
+                <span class="n">shape</span><span class="p">[</span><span class="mi">4</span><span class="p">],</span>
+            <span class="p">),</span>
+        <span class="p">)</span>
+        <span class="n">tensor</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">math</span><span class="o">.</span><span class="n">reduce_sum</span><span class="p">(</span><span class="n">tensor</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">4</span><span class="p">))</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span><span class="o">**</span><span class="mi">2</span>
+        <span class="k">return</span> <span class="n">tensor</span>
+
+    <span class="k">def</span> <span class="nf">_t_coarsen_sample</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">tensor</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Perform temporal subsampling on a 5D tensor of shape</span>
+<span class="sd">        (n_obs, spatial_1, spatial_2, time, features)&quot;&quot;&quot;</span>
+        <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">tensor</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">5</span>
+        <span class="n">tensor</span> <span class="o">=</span> <span class="n">tensor</span><span class="p">[:,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="p">::</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_enhance</span><span class="p">,</span> <span class="p">:]</span>
+        <span class="k">return</span> <span class="n">tensor</span>
+
+    <span class="k">def</span> <span class="nf">_t_coarsen_avg</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">tensor</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Perform temporal coarsening on a 5D tensor of shape</span>
+<span class="sd">        (n_obs, spatial_1, spatial_2, time, features)&quot;&quot;&quot;</span>
+        <span class="n">shape</span> <span class="o">=</span> <span class="n">tensor</span><span class="o">.</span><span class="n">shape</span>
+        <span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">5</span>
+        <span class="n">tensor</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span>
+            <span class="n">tensor</span><span class="p">,</span>
+            <span class="p">(</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_enhance</span><span class="p">,</span> <span class="n">shape</span><span class="p">[</span><span class="mi">4</span><span class="p">]),</span>
+        <span class="p">)</span>
+        <span class="n">tensor</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">math</span><span class="o">.</span><span class="n">reduce_sum</span><span class="p">(</span><span class="n">tensor</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_enhance</span>
+        <span class="k">return</span> <span class="n">tensor</span>
+
+<div class="viewcode-block" id="LowResLoss.__call__">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.loss_metrics.LowResLoss.html#sup3r.utilities.loss_metrics.LowResLoss.__call__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Custom content loss calculated on re-coarsened low-res fields</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        x1 : tf.tensor</span>
+<span class="sd">            Synthetic high-res generator output, shape is either of these:</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, features)</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        x2 : tf.tensor</span>
+<span class="sd">            True high resolution data, shape is either of these:</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, features)</span>
+<span class="sd">            (n_obs, spatial_1, spatial_2, temporal, features)</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        tf.tensor</span>
+<span class="sd">            0D tensor loss value</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">assert</span> <span class="n">x1</span><span class="o">.</span><span class="n">shape</span> <span class="o">==</span> <span class="n">x2</span><span class="o">.</span><span class="n">shape</span>
+        <span class="n">s_only</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">x1</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">4</span>
+
+        <span class="n">ex_loss</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">constant</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">x1</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ex_loss</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">ex_loss</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ex_loss</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span> <span class="o">&gt;</span> <span class="mi">1</span> <span class="ow">and</span> <span class="n">s_only</span><span class="p">:</span>
+            <span class="n">x1</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_coarsen_4d_tensor</span><span class="p">(</span><span class="n">x1</span><span class="p">)</span>
+            <span class="n">x2</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_coarsen_4d_tensor</span><span class="p">(</span><span class="n">x2</span><span class="p">)</span>
+
+        <span class="k">elif</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_enhance</span> <span class="o">&gt;</span> <span class="mi">1</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">s_only</span><span class="p">:</span>
+            <span class="n">x1</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_coarsen_5d_tensor</span><span class="p">(</span><span class="n">x1</span><span class="p">)</span>
+            <span class="n">x2</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_s_coarsen_5d_tensor</span><span class="p">(</span><span class="n">x2</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_enhance</span> <span class="o">&gt;</span> <span class="mi">1</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_method</span> <span class="o">==</span> <span class="s1">&#39;average&#39;</span><span class="p">:</span>
+            <span class="n">x1</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_coarsen_avg</span><span class="p">(</span><span class="n">x1</span><span class="p">)</span>
+            <span class="n">x2</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_coarsen_avg</span><span class="p">(</span><span class="n">x2</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_enhance</span> <span class="o">&gt;</span> <span class="mi">1</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_method</span> <span class="o">==</span> <span class="s1">&#39;subsample&#39;</span><span class="p">:</span>
+            <span class="n">x1</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_coarsen_sample</span><span class="p">(</span><span class="n">x1</span><span class="p">)</span>
+            <span class="n">x2</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_t_coarsen_sample</span><span class="p">(</span><span class="n">x2</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_tf_loss</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">x2</span><span class="p">)</span> <span class="o">+</span> <span class="n">ex_loss</span></div>
+</div>
+
+</pre></div>
+
+                </article>
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+
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+  <h1>Source code for sup3r.utilities.pytest.helpers</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Testing helpers.&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">from</span> <span class="nn">itertools</span> <span class="kn">import</span> <span class="n">product</span>
+
+<span class="kn">import</span> <span class="nn">dask.array</span> <span class="k">as</span> <span class="nn">da</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">xarray</span> <span class="k">as</span> <span class="nn">xr</span>
+
+<span class="kn">from</span> <span class="nn">sup3r.postprocessing</span> <span class="kn">import</span> <span class="n">OutputHandlerH5</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.base</span> <span class="kn">import</span> <span class="n">Container</span><span class="p">,</span> <span class="n">Sup3rDataset</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.batch_handlers</span> <span class="kn">import</span> <span class="n">BatchHandlerCC</span><span class="p">,</span> <span class="n">BatchHandlerDC</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.names</span> <span class="kn">import</span> <span class="n">Dimension</span>
+<span class="kn">from</span> <span class="nn">sup3r.preprocessing.samplers</span> <span class="kn">import</span> <span class="n">DualSamplerCC</span><span class="p">,</span> <span class="n">Sampler</span><span class="p">,</span> <span class="n">SamplerDC</span>
+<span class="kn">from</span> <span class="nn">sup3r.utilities.utilities</span> <span class="kn">import</span> <span class="n">RANDOM_GENERATOR</span><span class="p">,</span> <span class="n">pd_date_range</span>
+
+
+<div class="viewcode-block" id="make_fake_tif">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.utilities.pytest.helpers.make_fake_tif.html#sup3r.utilities.pytest.helpers.make_fake_tif">[docs]</a>
+<span class="k">def</span> <span class="nf">make_fake_tif</span><span class="p">(</span><span class="n">shape</span><span class="p">,</span> <span class="n">outfile</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Make dummy data for tests.&quot;&quot;&quot;</span>
+
+    <span class="n">y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">70</span><span class="p">,</span> <span class="o">-</span><span class="mi">70</span><span class="p">,</span> <span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+    <span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="o">-</span><span class="mi">150</span><span class="p">,</span> <span class="mi">150</span><span class="p">,</span> <span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+    <span class="n">coords</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;band&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="s1">&#39;x&#39;</span><span class="p">:</span> <span class="n">x</span><span class="p">,</span> <span class="s1">&#39;y&#39;</span><span class="p">:</span> <span class="n">y</span><span class="p">}</span>
+    <span class="n">data_vars</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="s1">&#39;band_data&#39;</span><span class="p">:</span> <span class="p">(</span>
+            <span class="p">(</span><span class="s1">&#39;band&#39;</span><span class="p">,</span> <span class="s1">&#39;y&#39;</span><span class="p">,</span> <span class="s1">&#39;x&#39;</span><span class="p">),</span>
+            <span class="n">RANDOM_GENERATOR</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="o">*</span><span class="n">shape</span><span class="p">)),</span>
+        <span class="p">)</span>
+    <span class="p">}</span>
+    <span class="n">nc</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">(</span><span class="n">coords</span><span class="o">=</span><span class="n">coords</span><span class="p">,</span> <span class="n">data_vars</span><span class="o">=</span><span class="n">data_vars</span><span class="p">)</span>
+    <span class="n">nc</span><span class="o">.</span><span class="n">to_netcdf</span><span class="p">(</span><span class="n">outfile</span><span class="p">,</span> <span class="nb">format</span><span class="o">=</span><span class="s1">&#39;NETCDF4&#39;</span><span class="p">,</span> <span class="n">engine</span><span class="o">=</span><span class="s1">&#39;h5netcdf&#39;</span><span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="make_fake_dset">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.utilities.pytest.helpers.make_fake_dset.html#sup3r.utilities.pytest.helpers.make_fake_dset">[docs]</a>
+<span class="k">def</span> <span class="nf">make_fake_dset</span><span class="p">(</span><span class="n">shape</span><span class="p">,</span> <span class="n">features</span><span class="p">,</span> <span class="n">const</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Make dummy data for tests.&quot;&quot;&quot;</span>
+
+    <span class="n">lats</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">70</span><span class="p">,</span> <span class="o">-</span><span class="mi">70</span><span class="p">,</span> <span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+    <span class="n">lons</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="o">-</span><span class="mi">150</span><span class="p">,</span> <span class="mi">150</span><span class="p">,</span> <span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+    <span class="n">lons</span><span class="p">,</span> <span class="n">lats</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">meshgrid</span><span class="p">(</span><span class="n">lons</span><span class="p">,</span> <span class="n">lats</span><span class="p">)</span>
+    <span class="n">time</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">date_range</span><span class="p">(</span><span class="s1">&#39;2023-01-01&#39;</span><span class="p">,</span> <span class="s1">&#39;2023-12-31&#39;</span><span class="p">,</span> <span class="n">freq</span><span class="o">=</span><span class="s1">&#39;60min&#39;</span><span class="p">)[:</span> <span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]]</span>
+    <span class="n">dims</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="s1">&#39;time&#39;</span><span class="p">,</span>
+        <span class="n">Dimension</span><span class="o">.</span><span class="n">PRESSURE_LEVEL</span><span class="p">,</span>
+        <span class="n">Dimension</span><span class="o">.</span><span class="n">SOUTH_NORTH</span><span class="p">,</span>
+        <span class="n">Dimension</span><span class="o">.</span><span class="n">WEST_EAST</span><span class="p">,</span>
+    <span class="p">)</span>
+    <span class="n">coords</span> <span class="o">=</span> <span class="p">{}</span>
+
+    <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">4</span><span class="p">:</span>
+        <span class="n">levels</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">1000</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="n">shape</span><span class="p">[</span><span class="mi">3</span><span class="p">])</span>
+        <span class="n">coords</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">PRESSURE_LEVEL</span><span class="p">]</span> <span class="o">=</span> <span class="n">levels</span>
+    <span class="n">coords</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">time</span>
+    <span class="n">coords</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">LATITUDE</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="p">(</span><span class="n">Dimension</span><span class="o">.</span><span class="n">SOUTH_NORTH</span><span class="p">,</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">WEST_EAST</span><span class="p">),</span>
+        <span class="n">lats</span><span class="p">,</span>
+    <span class="p">)</span>
+    <span class="n">coords</span><span class="p">[</span><span class="n">Dimension</span><span class="o">.</span><span class="n">LONGITUDE</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="p">(</span><span class="n">Dimension</span><span class="o">.</span><span class="n">SOUTH_NORTH</span><span class="p">,</span> <span class="n">Dimension</span><span class="o">.</span><span class="n">WEST_EAST</span><span class="p">),</span>
+        <span class="n">lons</span><span class="p">,</span>
+    <span class="p">)</span>
+
+    <span class="n">dims</span> <span class="o">=</span> <span class="p">(</span>
+        <span class="s1">&#39;time&#39;</span><span class="p">,</span>
+        <span class="n">Dimension</span><span class="o">.</span><span class="n">PRESSURE_LEVEL</span><span class="p">,</span>
+        <span class="n">Dimension</span><span class="o">.</span><span class="n">SOUTH_NORTH</span><span class="p">,</span>
+        <span class="n">Dimension</span><span class="o">.</span><span class="n">WEST_EAST</span><span class="p">,</span>
+    <span class="p">)</span>
+    <span class="n">trans_axes</span> <span class="o">=</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
+    <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">3</span><span class="p">:</span>
+        <span class="n">dims</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;time&#39;</span><span class="p">,</span> <span class="o">*</span><span class="n">dims</span><span class="p">[</span><span class="mi">2</span><span class="p">:])</span>
+        <span class="n">trans_axes</span> <span class="o">=</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
+    <span class="n">data_vars</span> <span class="o">=</span> <span class="p">{}</span>
+    <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">features</span><span class="p">:</span>
+        <span class="k">if</span> <span class="s1">&#39;zg&#39;</span> <span class="ow">in</span> <span class="n">f</span><span class="p">:</span>
+            <span class="n">data</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">100</span><span class="p">,</span> <span class="n">shape</span><span class="p">)</span>
+        <span class="k">elif</span> <span class="s1">&#39;orog&#39;</span> <span class="ow">in</span> <span class="n">f</span><span class="p">:</span>
+            <span class="n">data</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">shape</span><span class="p">)</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">data</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">shape</span><span class="p">)</span>
+        <span class="n">data_vars</span><span class="p">[</span><span class="n">f</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">dims</span><span class="p">[:</span> <span class="nb">len</span><span class="p">(</span><span class="n">shape</span><span class="p">)],</span>
+            <span class="n">da</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span>
+                <span class="n">np</span><span class="o">.</span><span class="n">full</span><span class="p">(</span><span class="n">shape</span><span class="p">,</span> <span class="n">const</span><span class="p">)</span> <span class="k">if</span> <span class="n">const</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">data</span><span class="p">,</span>
+                <span class="n">axes</span><span class="o">=</span><span class="n">trans_axes</span><span class="p">,</span>
+            <span class="p">),</span>
+        <span class="p">)</span>
+    <span class="n">nc</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">(</span><span class="n">coords</span><span class="o">=</span><span class="n">coords</span><span class="p">,</span> <span class="n">data_vars</span><span class="o">=</span><span class="n">data_vars</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">nc</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="make_fake_nc_file">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.utilities.pytest.helpers.make_fake_nc_file.html#sup3r.utilities.pytest.helpers.make_fake_nc_file">[docs]</a>
+<span class="k">def</span> <span class="nf">make_fake_nc_file</span><span class="p">(</span><span class="n">file_name</span><span class="p">,</span> <span class="n">shape</span><span class="p">,</span> <span class="n">features</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Make nc file with dummy data for tests.&quot;&quot;&quot;</span>
+    <span class="n">nc</span> <span class="o">=</span> <span class="n">make_fake_dset</span><span class="p">(</span><span class="n">shape</span><span class="p">,</span> <span class="n">features</span><span class="p">)</span>
+    <span class="n">nc</span><span class="o">.</span><span class="n">to_netcdf</span><span class="p">(</span><span class="n">file_name</span><span class="p">,</span> <span class="nb">format</span><span class="o">=</span><span class="s1">&#39;NETCDF4&#39;</span><span class="p">,</span> <span class="n">engine</span><span class="o">=</span><span class="s1">&#39;h5netcdf&#39;</span><span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="DummyData">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.utilities.pytest.helpers.DummyData.html#sup3r.utilities.pytest.helpers.DummyData">[docs]</a>
+<span class="k">class</span> <span class="nc">DummyData</span><span class="p">(</span><span class="n">Container</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Dummy container with random data.&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data_shape</span><span class="p">,</span> <span class="n">features</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">data</span> <span class="o">=</span> <span class="n">make_fake_dset</span><span class="p">(</span><span class="n">data_shape</span><span class="p">,</span> <span class="n">features</span><span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="DummySampler">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.utilities.pytest.helpers.DummySampler.html#sup3r.utilities.pytest.helpers.DummySampler">[docs]</a>
+<span class="k">class</span> <span class="nc">DummySampler</span><span class="p">(</span><span class="n">Sampler</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Dummy container with random data.&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
+        <span class="bp">self</span><span class="p">,</span> <span class="n">sample_shape</span><span class="p">,</span> <span class="n">data_shape</span><span class="p">,</span> <span class="n">features</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">,</span> <span class="n">feature_sets</span><span class="o">=</span><span class="kc">None</span>
+    <span class="p">):</span>
+        <span class="n">data</span> <span class="o">=</span> <span class="n">make_fake_dset</span><span class="p">(</span><span class="n">data_shape</span><span class="p">,</span> <span class="n">features</span><span class="o">=</span><span class="n">features</span><span class="p">)</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span>
+            <span class="n">Sup3rDataset</span><span class="p">(</span><span class="n">high_res</span><span class="o">=</span><span class="n">data</span><span class="p">),</span>
+            <span class="n">sample_shape</span><span class="p">,</span>
+            <span class="n">batch_size</span><span class="o">=</span><span class="n">batch_size</span><span class="p">,</span>
+            <span class="n">feature_sets</span><span class="o">=</span><span class="n">feature_sets</span><span class="p">,</span>
+        <span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="test_sampler_factory">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.utilities.pytest.helpers.test_sampler_factory.html#sup3r.utilities.pytest.helpers.test_sampler_factory">[docs]</a>
+<span class="k">def</span> <span class="nf">test_sampler_factory</span><span class="p">(</span><span class="n">SamplerClass</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Build test samplers which track indices.&quot;&quot;&quot;</span>
+
+    <span class="k">class</span> <span class="nc">SamplerTester</span><span class="p">(</span><span class="n">SamplerClass</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Keep a record of sample indices for testing.&quot;&quot;&quot;</span>
+
+        <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">index_record</span> <span class="o">=</span> <span class="p">[]</span>
+            <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+        <span class="k">def</span> <span class="nf">get_sample_index</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">            </span><span class="sd">&quot;&quot;&quot;Override get_sample_index to keep record of index accessible by</span>
+<span class="sd">            batch handler. We store the index with the time entry divided by</span>
+<span class="sd">            the batch size, since we have multiplied by the batch size to get</span>
+<span class="sd">            a continuous time sample for multiple observations.&quot;&quot;&quot;</span>
+            <span class="n">idx</span> <span class="o">=</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">get_sample_index</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+            <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">idx</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">:</span>
+                <span class="n">lr</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">idx</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+                <span class="n">hr</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">idx</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+                <span class="n">lr</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">=</span> <span class="nb">slice</span><span class="p">(</span>
+                    <span class="n">lr</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">start</span><span class="p">,</span>
+                    <span class="p">(</span><span class="n">lr</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">stop</span> <span class="o">-</span> <span class="n">lr</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">start</span><span class="p">)</span> <span class="o">//</span> <span class="bp">self</span><span class="o">.</span><span class="n">batch_size</span>
+                    <span class="o">+</span> <span class="n">lr</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">start</span><span class="p">,</span>
+                <span class="p">)</span>
+                <span class="n">hr</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">=</span> <span class="nb">slice</span><span class="p">(</span>
+                    <span class="n">hr</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">start</span><span class="p">,</span>
+                    <span class="p">(</span><span class="n">hr</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">stop</span> <span class="o">-</span> <span class="n">hr</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">start</span><span class="p">)</span> <span class="o">//</span> <span class="bp">self</span><span class="o">.</span><span class="n">batch_size</span>
+                    <span class="o">+</span> <span class="n">hr</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">start</span><span class="p">,</span>
+                <span class="p">)</span>
+                <span class="n">new_idx</span> <span class="o">=</span> <span class="p">(</span><span class="nb">tuple</span><span class="p">(</span><span class="n">lr</span><span class="p">),</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">hr</span><span class="p">))</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="n">new_idx</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">idx</span><span class="p">)</span>
+                <span class="n">new_idx</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">=</span> <span class="nb">slice</span><span class="p">(</span>
+                    <span class="n">new_idx</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">start</span><span class="p">,</span>
+                    <span class="p">(</span><span class="n">new_idx</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">stop</span> <span class="o">-</span> <span class="n">new_idx</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">start</span><span class="p">)</span> <span class="o">//</span> <span class="bp">self</span><span class="o">.</span><span class="n">batch_size</span>
+                    <span class="o">+</span> <span class="n">new_idx</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">start</span><span class="p">,</span>
+                <span class="p">)</span>
+                <span class="n">new_idx</span> <span class="o">=</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">new_idx</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">index_record</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">new_idx</span><span class="p">)</span>
+            <span class="k">return</span> <span class="n">idx</span>
+
+    <span class="k">return</span> <span class="n">SamplerTester</span></div>
+
+
+
+<span class="n">DualSamplerTesterCC</span> <span class="o">=</span> <span class="n">test_sampler_factory</span><span class="p">(</span><span class="n">DualSamplerCC</span><span class="p">)</span>
+<span class="n">SamplerTesterDC</span> <span class="o">=</span> <span class="n">test_sampler_factory</span><span class="p">(</span><span class="n">SamplerDC</span><span class="p">)</span>
+<span class="n">SamplerTester</span> <span class="o">=</span> <span class="n">test_sampler_factory</span><span class="p">(</span><span class="n">Sampler</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="BatchHandlerTesterCC">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC">[docs]</a>
+<span class="k">class</span> <span class="nc">BatchHandlerTesterCC</span><span class="p">(</span><span class="n">BatchHandlerCC</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Batch handler with sampler with running index record.&quot;&quot;&quot;</span>
+
+    <span class="n">SAMPLER</span> <span class="o">=</span> <span class="n">DualSamplerTesterCC</span></div>
+
+
+
+<div class="viewcode-block" id="BatchHandlerTesterDC">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC">[docs]</a>
+<span class="k">class</span> <span class="nc">BatchHandlerTesterDC</span><span class="p">(</span><span class="n">BatchHandlerDC</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Data-centric batch handler with record for testing&quot;&quot;&quot;</span>
+
+    <span class="n">SAMPLER</span> <span class="o">=</span> <span class="n">SamplerTesterDC</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">temporal_weights_record</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">spatial_weights_record</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">s_index_record</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">t_index_record</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">space_bin_record</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">time_bin_record</span> <span class="o">=</span> <span class="p">[]</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">space_bin_count</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">n_space_bins</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">time_bin_count</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">n_time_bins</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">max_rows</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">max_cols</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">max_tsteps</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">sample_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">spatial_bins</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array_split</span><span class="p">(</span>
+            <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">max_rows</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">max_cols</span><span class="p">),</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">n_space_bins</span><span class="p">,</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">spatial_bins</span> <span class="o">=</span> <span class="p">[</span><span class="n">b</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span> <span class="k">for</span> <span class="n">b</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">spatial_bins</span><span class="p">]</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">temporal_bins</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array_split</span><span class="p">(</span>
+            <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">max_tsteps</span><span class="p">),</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_time_bins</span>
+        <span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">temporal_bins</span> <span class="o">=</span> <span class="p">[</span><span class="n">b</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span> <span class="k">for</span> <span class="n">b</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">temporal_bins</span><span class="p">]</span>
+
+    <span class="k">def</span> <span class="nf">_update_bin_count</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">slices</span><span class="p">):</span>
+        <span class="n">s_idx</span> <span class="o">=</span> <span class="n">slices</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">start</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">max_cols</span> <span class="o">+</span> <span class="n">slices</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">start</span>
+        <span class="n">t_idx</span> <span class="o">=</span> <span class="n">slices</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">start</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">s_index_record</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">s_idx</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">t_index_record</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">t_idx</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">space_bin_count</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">digitize</span><span class="p">(</span><span class="n">s_idx</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">spatial_bins</span><span class="p">)]</span> <span class="o">+=</span> <span class="mi">1</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">time_bin_count</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">digitize</span><span class="p">(</span><span class="n">t_idx</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">temporal_bins</span><span class="p">)]</span> <span class="o">+=</span> <span class="mi">1</span>
+
+<div class="viewcode-block" id="BatchHandlerTesterDC.sample_batch">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.sample_batch">[docs]</a>
+    <span class="k">def</span> <span class="nf">sample_batch</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Override get_samples to track sample indices.&quot;&quot;&quot;</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">sample_batch</span><span class="p">()</span>
+        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">containers</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">index_record</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">_update_bin_count</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">containers</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">index_record</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
+        <span class="k">return</span> <span class="n">out</span></div>
+
+
+    <span class="k">def</span> <span class="fm">__next__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="n">out</span> <span class="o">=</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__next__</span><span class="p">()</span>
+        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_batch_count</span> <span class="o">==</span> <span class="bp">self</span><span class="o">.</span><span class="n">n_batches</span><span class="p">:</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">update_record</span><span class="p">()</span>
+        <span class="k">return</span> <span class="n">out</span>
+
+<div class="viewcode-block" id="BatchHandlerTesterDC.update_record">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.update_record">[docs]</a>
+    <span class="k">def</span> <span class="nf">update_record</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Reset records for a new epoch.&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">space_bin_record</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">space_bin_count</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">time_bin_record</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">time_bin_count</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">space_bin_count</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">n_space_bins</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">time_bin_count</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">n_time_bins</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">temporal_weights_record</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">temporal_weights</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">spatial_weights_record</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">spatial_weights</span><span class="p">)</span></div>
+
+
+    <span class="nd">@staticmethod</span>
+    <span class="k">def</span> <span class="nf">_mean_record_normed</span><span class="p">(</span><span class="n">record</span><span class="p">):</span>
+        <span class="n">mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">record</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">mean</span> <span class="o">/</span> <span class="n">mean</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span></div>
+
+
+
+<div class="viewcode-block" id="BatchHandlerTesterFactory">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterFactory.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterFactory">[docs]</a>
+<span class="k">def</span> <span class="nf">BatchHandlerTesterFactory</span><span class="p">(</span><span class="n">BatchHandlerClass</span><span class="p">,</span> <span class="n">SamplerClass</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Batch handler factory with sample counter and deterministic sampling for</span>
+<span class="sd">    testing.&quot;&quot;&quot;</span>
+
+    <span class="k">class</span> <span class="nc">BatchHandlerTester</span><span class="p">(</span><span class="n">BatchHandlerClass</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;testing version of BatchHandler.&quot;&quot;&quot;</span>
+
+        <span class="n">SAMPLER</span> <span class="o">=</span> <span class="n">SamplerClass</span>
+
+        <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">sample_count</span> <span class="o">=</span> <span class="mi">0</span>
+            <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+        <span class="k">def</span> <span class="nf">sample_batch</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">            </span><span class="sd">&quot;&quot;&quot;Override get_samples to track sample count.&quot;&quot;&quot;</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">sample_count</span> <span class="o">+=</span> <span class="mi">1</span>
+            <span class="k">return</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">sample_batch</span><span class="p">()</span>
+
+    <span class="k">return</span> <span class="n">BatchHandlerTester</span></div>
+
+
+
+<div class="viewcode-block" id="make_collect_chunks">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.utilities.pytest.helpers.make_collect_chunks.html#sup3r.utilities.pytest.helpers.make_collect_chunks">[docs]</a>
+<span class="k">def</span> <span class="nf">make_collect_chunks</span><span class="p">(</span><span class="n">td</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Make fake h5 chunked output files for collection tests.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    td : tempfile.TemporaryDirectory</span>
+<span class="sd">        Test TemporaryDirectory</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    out_files : list</span>
+<span class="sd">        List of filepaths to chunked files.</span>
+<span class="sd">    data : ndarray</span>
+<span class="sd">        (spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        High resolution forward pass output</span>
+<span class="sd">    ws_true : ndarray</span>
+<span class="sd">        Windspeed between 0 and 20 in shape (spatial_1, spatial_2, temporal, 1)</span>
+<span class="sd">    wd_true : ndarray</span>
+<span class="sd">        Windir between 0 and 360 in shape (spatial_1, spatial_2, temporal, 1)</span>
+<span class="sd">    features : list</span>
+<span class="sd">        List of feature names corresponding to the last dimension of data</span>
+<span class="sd">        [&#39;windspeed_100m&#39;, &#39;winddirection_100m&#39;]</span>
+<span class="sd">    hr_lat_lon : ndarray</span>
+<span class="sd">        Array of lat/lon for hr data. (spatial_1, spatial_2, 2)</span>
+<span class="sd">        Last dimension has ordering (lat, lon)</span>
+<span class="sd">    hr_times : list</span>
+<span class="sd">        List of np.datetime64 objects for hr data.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">features</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;windspeed_100m&#39;</span><span class="p">,</span> <span class="s1">&#39;winddirection_100m&#39;</span><span class="p">]</span>
+    <span class="n">model_meta_data</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;foo&#39;</span><span class="p">:</span> <span class="s1">&#39;bar&#39;</span><span class="p">}</span>
+    <span class="n">shape</span> <span class="o">=</span> <span class="p">(</span><span class="mi">50</span><span class="p">,</span> <span class="mi">50</span><span class="p">,</span> <span class="mi">96</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
+    <span class="n">ws_true</span> <span class="o">=</span> <span class="n">RANDOM_GENERATOR</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="n">shape</span><span class="p">)</span>
+    <span class="n">wd_true</span> <span class="o">=</span> <span class="n">RANDOM_GENERATOR</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">360</span><span class="p">,</span> <span class="n">shape</span><span class="p">)</span>
+    <span class="n">data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">((</span><span class="n">ws_true</span><span class="p">,</span> <span class="n">wd_true</span><span class="p">),</span> <span class="n">axis</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
+    <span class="n">lat</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">90</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">50</span><span class="p">)</span>
+    <span class="n">lon</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="o">-</span><span class="mi">180</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">50</span><span class="p">)</span>
+    <span class="n">lon</span><span class="p">,</span> <span class="n">lat</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">meshgrid</span><span class="p">(</span><span class="n">lon</span><span class="p">,</span> <span class="n">lat</span><span class="p">)</span>
+    <span class="n">hr_lat_lon</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">dstack</span><span class="p">((</span><span class="n">lat</span><span class="p">,</span> <span class="n">lon</span><span class="p">))</span>
+
+    <span class="n">gids</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="n">shape</span><span class="p">[:</span><span class="mi">2</span><span class="p">]))</span>
+    <span class="n">gids</span> <span class="o">=</span> <span class="n">gids</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">shape</span><span class="p">[:</span><span class="mi">2</span><span class="p">])</span>
+
+    <span class="n">hr_times</span> <span class="o">=</span> <span class="n">pd_date_range</span><span class="p">(</span>
+        <span class="s1">&#39;20220101&#39;</span><span class="p">,</span> <span class="s1">&#39;20220103&#39;</span><span class="p">,</span> <span class="n">freq</span><span class="o">=</span><span class="s1">&#39;1800s&#39;</span><span class="p">,</span> <span class="n">inclusive</span><span class="o">=</span><span class="s1">&#39;left&#39;</span>
+    <span class="p">)</span>
+
+    <span class="n">t_slices_hr</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array_split</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">hr_times</span><span class="p">)),</span> <span class="mi">4</span><span class="p">)</span>
+    <span class="n">t_slices_hr</span> <span class="o">=</span> <span class="p">[</span><span class="nb">slice</span><span class="p">(</span><span class="n">s</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">s</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">t_slices_hr</span><span class="p">]</span>
+    <span class="n">s_slices_hr</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array_split</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]),</span> <span class="mi">4</span><span class="p">)</span>
+    <span class="n">s_slices_hr</span> <span class="o">=</span> <span class="p">[</span><span class="nb">slice</span><span class="p">(</span><span class="n">s</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">s</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">s_slices_hr</span><span class="p">]</span>
+
+    <span class="n">out_pattern</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">td</span><span class="p">,</span> <span class="s1">&#39;fp_out_</span><span class="si">{t}</span><span class="s1">_</span><span class="si">{s}</span><span class="s1">.h5&#39;</span><span class="p">)</span>
+    <span class="n">out_files</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="k">for</span> <span class="n">t</span><span class="p">,</span> <span class="n">slice_hr</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">t_slices_hr</span><span class="p">):</span>
+        <span class="k">for</span> <span class="n">s</span><span class="p">,</span> <span class="p">(</span><span class="n">s1_hr</span><span class="p">,</span> <span class="n">s2_hr</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">product</span><span class="p">(</span><span class="n">s_slices_hr</span><span class="p">,</span> <span class="n">s_slices_hr</span><span class="p">)):</span>
+            <span class="n">out_file</span> <span class="o">=</span> <span class="n">out_pattern</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">t</span><span class="o">=</span><span class="nb">str</span><span class="p">(</span><span class="n">t</span><span class="p">)</span><span class="o">.</span><span class="n">zfill</span><span class="p">(</span><span class="mi">6</span><span class="p">),</span>
+                <span class="n">s</span><span class="o">=</span><span class="nb">str</span><span class="p">(</span><span class="n">s</span><span class="p">)</span><span class="o">.</span><span class="n">zfill</span><span class="p">(</span><span class="mi">6</span><span class="p">)</span>
+            <span class="p">)</span>
+            <span class="n">out_files</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">out_file</span><span class="p">)</span>
+            <span class="n">OutputHandlerH5</span><span class="o">.</span><span class="n">_write_output</span><span class="p">(</span>
+                <span class="n">data</span><span class="p">[</span><span class="n">s1_hr</span><span class="p">,</span> <span class="n">s2_hr</span><span class="p">,</span> <span class="n">slice_hr</span><span class="p">,</span> <span class="p">:],</span>
+                <span class="n">features</span><span class="p">,</span>
+                <span class="n">hr_lat_lon</span><span class="p">[</span><span class="n">s1_hr</span><span class="p">,</span> <span class="n">s2_hr</span><span class="p">],</span>
+                <span class="n">hr_times</span><span class="p">[</span><span class="n">slice_hr</span><span class="p">],</span>
+                <span class="n">out_file</span><span class="p">,</span>
+                <span class="n">meta_data</span><span class="o">=</span><span class="n">model_meta_data</span><span class="p">,</span>
+                <span class="n">max_workers</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+                <span class="n">gids</span><span class="o">=</span><span class="n">gids</span><span class="p">[</span><span class="n">s1_hr</span><span class="p">,</span> <span class="n">s2_hr</span><span class="p">],</span>
+            <span class="p">)</span>
+
+    <span class="k">return</span> <span class="p">(</span>
+        <span class="n">out_files</span><span class="p">,</span>
+        <span class="n">data</span><span class="p">,</span>
+        <span class="n">ws_true</span><span class="p">,</span>
+        <span class="n">wd_true</span><span class="p">,</span>
+        <span class="n">features</span><span class="p">,</span>
+        <span class="n">hr_lat_lon</span><span class="p">,</span>
+        <span class="n">hr_times</span>
+    <span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="make_fake_h5_chunks">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.utilities.pytest.helpers.make_fake_h5_chunks.html#sup3r.utilities.pytest.helpers.make_fake_h5_chunks">[docs]</a>
+<span class="k">def</span> <span class="nf">make_fake_h5_chunks</span><span class="p">(</span><span class="n">td</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Make fake h5 chunked output files for a 5x spatial 2x temporal</span>
+<span class="sd">    multi-node forward pass output.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    td : tempfile.TemporaryDirectory</span>
+<span class="sd">        Test TemporaryDirectory</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    out_files : list</span>
+<span class="sd">        List of filepaths to chunked files.</span>
+<span class="sd">    data : ndarray</span>
+<span class="sd">        (spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">        High resolution forward pass output</span>
+<span class="sd">    ws_true : ndarray</span>
+<span class="sd">        Windspeed between 0 and 20 in shape (spatial_1, spatial_2, temporal, 1)</span>
+<span class="sd">    wd_true : ndarray</span>
+<span class="sd">        Windir between 0 and 360 in shape (spatial_1, spatial_2, temporal, 1)</span>
+<span class="sd">    features : list</span>
+<span class="sd">        List of feature names corresponding to the last dimension of data</span>
+<span class="sd">        [&#39;windspeed_100m&#39;, &#39;winddirection_100m&#39;]</span>
+<span class="sd">    t_slices_lr : list</span>
+<span class="sd">        List of low res temporal slices</span>
+<span class="sd">    t_slices_hr : list</span>
+<span class="sd">        List of high res temporal slices</span>
+<span class="sd">    s_slices_lr : list</span>
+<span class="sd">        List of low res spatial slices</span>
+<span class="sd">    s_slices_hr : list</span>
+<span class="sd">        List of high res spatial slices</span>
+<span class="sd">    low_res_lat_lon : ndarray</span>
+<span class="sd">        Array of lat/lon for input data. (spatial_1, spatial_2, 2)</span>
+<span class="sd">        Last dimension has ordering (lat, lon)</span>
+<span class="sd">    low_res_times : list</span>
+<span class="sd">        List of np.datetime64 objects for coarse data.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">features</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;windspeed_100m&#39;</span><span class="p">,</span> <span class="s1">&#39;winddirection_100m&#39;</span><span class="p">]</span>
+    <span class="n">model_meta_data</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;foo&#39;</span><span class="p">:</span> <span class="s1">&#39;bar&#39;</span><span class="p">}</span>
+    <span class="n">shape</span> <span class="o">=</span> <span class="p">(</span><span class="mi">50</span><span class="p">,</span> <span class="mi">50</span><span class="p">,</span> <span class="mi">96</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
+    <span class="n">ws_true</span> <span class="o">=</span> <span class="n">RANDOM_GENERATOR</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="n">shape</span><span class="p">)</span>
+    <span class="n">wd_true</span> <span class="o">=</span> <span class="n">RANDOM_GENERATOR</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">360</span><span class="p">,</span> <span class="n">shape</span><span class="p">)</span>
+    <span class="n">data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">((</span><span class="n">ws_true</span><span class="p">,</span> <span class="n">wd_true</span><span class="p">),</span> <span class="n">axis</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
+    <span class="n">lat</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">90</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">10</span><span class="p">)</span>
+    <span class="n">lon</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="o">-</span><span class="mi">180</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">10</span><span class="p">)</span>
+    <span class="n">lon</span><span class="p">,</span> <span class="n">lat</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">meshgrid</span><span class="p">(</span><span class="n">lon</span><span class="p">,</span> <span class="n">lat</span><span class="p">)</span>
+    <span class="n">low_res_lat_lon</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">dstack</span><span class="p">((</span><span class="n">lat</span><span class="p">,</span> <span class="n">lon</span><span class="p">))</span>
+
+    <span class="n">gids</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="n">shape</span><span class="p">[:</span><span class="mi">2</span><span class="p">]))</span>
+    <span class="n">gids</span> <span class="o">=</span> <span class="n">gids</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">shape</span><span class="p">[:</span><span class="mi">2</span><span class="p">])</span>
+
+    <span class="n">low_res_times</span> <span class="o">=</span> <span class="n">pd_date_range</span><span class="p">(</span>
+        <span class="s1">&#39;20220101&#39;</span><span class="p">,</span> <span class="s1">&#39;20220103&#39;</span><span class="p">,</span> <span class="n">freq</span><span class="o">=</span><span class="s1">&#39;3600s&#39;</span><span class="p">,</span> <span class="n">inclusive</span><span class="o">=</span><span class="s1">&#39;left&#39;</span>
+    <span class="p">)</span>
+
+    <span class="n">t_slices_lr</span> <span class="o">=</span> <span class="p">[</span><span class="nb">slice</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">24</span><span class="p">),</span> <span class="nb">slice</span><span class="p">(</span><span class="mi">24</span><span class="p">,</span> <span class="kc">None</span><span class="p">)]</span>
+    <span class="n">t_slices_hr</span> <span class="o">=</span> <span class="p">[</span><span class="nb">slice</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">48</span><span class="p">),</span> <span class="nb">slice</span><span class="p">(</span><span class="mi">48</span><span class="p">,</span> <span class="kc">None</span><span class="p">)]</span>
+
+    <span class="n">s_slices_lr</span> <span class="o">=</span> <span class="p">[</span><span class="nb">slice</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">5</span><span class="p">),</span> <span class="nb">slice</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="mi">10</span><span class="p">)]</span>
+    <span class="n">s_slices_hr</span> <span class="o">=</span> <span class="p">[</span><span class="nb">slice</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">25</span><span class="p">),</span> <span class="nb">slice</span><span class="p">(</span><span class="mi">25</span><span class="p">,</span> <span class="mi">50</span><span class="p">)]</span>
+
+    <span class="n">out_pattern</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">td</span><span class="p">,</span> <span class="s1">&#39;fp_out_</span><span class="si">{t}</span><span class="s1">_</span><span class="si">{i}{j}</span><span class="s1">.h5&#39;</span><span class="p">)</span>
+    <span class="n">out_files</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="k">for</span> <span class="n">t</span><span class="p">,</span> <span class="p">(</span><span class="n">slice_lr</span><span class="p">,</span> <span class="n">slice_hr</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="n">t_slices_lr</span><span class="p">,</span> <span class="n">t_slices_hr</span><span class="p">)):</span>
+        <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="p">(</span><span class="n">s1_lr</span><span class="p">,</span> <span class="n">s1_hr</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="n">s_slices_lr</span><span class="p">,</span> <span class="n">s_slices_hr</span><span class="p">)):</span>
+            <span class="k">for</span> <span class="n">j</span><span class="p">,</span> <span class="p">(</span><span class="n">s2_lr</span><span class="p">,</span> <span class="n">s2_hr</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="n">s_slices_lr</span><span class="p">,</span> <span class="n">s_slices_hr</span><span class="p">)):</span>
+                <span class="n">out_file</span> <span class="o">=</span> <span class="n">out_pattern</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                    <span class="n">t</span><span class="o">=</span><span class="nb">str</span><span class="p">(</span><span class="n">t</span><span class="p">)</span><span class="o">.</span><span class="n">zfill</span><span class="p">(</span><span class="mi">6</span><span class="p">),</span>
+                    <span class="n">i</span><span class="o">=</span><span class="nb">str</span><span class="p">(</span><span class="n">i</span><span class="p">)</span><span class="o">.</span><span class="n">zfill</span><span class="p">(</span><span class="mi">3</span><span class="p">),</span>
+                    <span class="n">j</span><span class="o">=</span><span class="nb">str</span><span class="p">(</span><span class="n">j</span><span class="p">)</span><span class="o">.</span><span class="n">zfill</span><span class="p">(</span><span class="mi">3</span><span class="p">),</span>
+                <span class="p">)</span>
+                <span class="n">out_files</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">out_file</span><span class="p">)</span>
+                <span class="n">OutputHandlerH5</span><span class="o">.</span><span class="n">write_output</span><span class="p">(</span>
+                    <span class="n">data</span><span class="p">[</span><span class="n">s1_hr</span><span class="p">,</span> <span class="n">s2_hr</span><span class="p">,</span> <span class="n">slice_hr</span><span class="p">,</span> <span class="p">:],</span>
+                    <span class="n">features</span><span class="p">,</span>
+                    <span class="n">low_res_lat_lon</span><span class="p">[</span><span class="n">s1_lr</span><span class="p">,</span> <span class="n">s2_lr</span><span class="p">],</span>
+                    <span class="n">low_res_times</span><span class="p">[</span><span class="n">slice_lr</span><span class="p">],</span>
+                    <span class="n">out_file</span><span class="p">,</span>
+                    <span class="n">meta_data</span><span class="o">=</span><span class="n">model_meta_data</span><span class="p">,</span>
+                    <span class="n">max_workers</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+                    <span class="n">gids</span><span class="o">=</span><span class="n">gids</span><span class="p">[</span><span class="n">s1_hr</span><span class="p">,</span> <span class="n">s2_hr</span><span class="p">],</span>
+                <span class="p">)</span>
+
+    <span class="k">return</span> <span class="p">(</span>
+        <span class="n">out_files</span><span class="p">,</span>
+        <span class="n">data</span><span class="p">,</span>
+        <span class="n">ws_true</span><span class="p">,</span>
+        <span class="n">wd_true</span><span class="p">,</span>
+        <span class="n">features</span><span class="p">,</span>
+        <span class="n">t_slices_lr</span><span class="p">,</span>
+        <span class="n">t_slices_hr</span><span class="p">,</span>
+        <span class="n">s_slices_lr</span><span class="p">,</span>
+        <span class="n">s_slices_hr</span><span class="p">,</span>
+        <span class="n">low_res_lat_lon</span><span class="p">,</span>
+        <span class="n">low_res_times</span>
+    <span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="make_fake_cs_ratio_files">
+<a class="viewcode-back" href="../../../../_autosummary/sup3r.utilities.pytest.helpers.make_fake_cs_ratio_files.html#sup3r.utilities.pytest.helpers.make_fake_cs_ratio_files">[docs]</a>
+<span class="k">def</span> <span class="nf">make_fake_cs_ratio_files</span><span class="p">(</span><span class="n">td</span><span class="p">,</span> <span class="n">low_res_times</span><span class="p">,</span> <span class="n">low_res_lat_lon</span><span class="p">,</span> <span class="n">model_meta</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Make a set of dummy clearsky ratio files that match the GAN fwp outputs</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    td : tempfile.TemporaryDirectory</span>
+<span class="sd">        Test TemporaryDirectory</span>
+<span class="sd">    low_res_times :</span>
+<span class="sd">        List of times for low res input data. If there is only a single low</span>
+<span class="sd">        res timestep, it is assumed the data is daily.</span>
+<span class="sd">    low_res_lat_lon</span>
+<span class="sd">        Array of lat/lon for input data.</span>
+<span class="sd">        (spatial_1, spatial_2, 2)</span>
+<span class="sd">        Last dimension has ordering (lat, lon)</span>
+<span class="sd">    model_meta : dict</span>
+<span class="sd">        Meta data for model to write to file.</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    fps : list</span>
+<span class="sd">        List of clearsky ratio .h5 chunked files.</span>
+<span class="sd">    fp_pattern : str</span>
+<span class="sd">        Glob pattern*string to find fps</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">fps</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="n">chunk_dir</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">td</span><span class="p">,</span> <span class="s1">&#39;chunks/&#39;</span><span class="p">)</span>
+    <span class="n">fp_pattern</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">chunk_dir</span><span class="p">,</span> <span class="s1">&#39;sup3r_chunk_*.h5&#39;</span><span class="p">)</span>
+    <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">chunk_dir</span><span class="p">)</span>
+
+    <span class="k">for</span> <span class="n">idt</span><span class="p">,</span> <span class="n">timestamp</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">low_res_times</span><span class="p">):</span>
+        <span class="n">fn</span> <span class="o">=</span> <span class="s1">&#39;sup3r_chunk_</span><span class="si">{}</span><span class="s1">_</span><span class="si">{}</span><span class="s1">.h5&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">idt</span><span class="p">)</span><span class="o">.</span><span class="n">zfill</span><span class="p">(</span><span class="mi">6</span><span class="p">),</span> <span class="nb">str</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span><span class="o">.</span><span class="n">zfill</span><span class="p">(</span><span class="mi">6</span><span class="p">))</span>
+        <span class="n">out_file</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">chunk_dir</span><span class="p">,</span> <span class="n">fn</span><span class="p">)</span>
+        <span class="n">fps</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">out_file</span><span class="p">)</span>
+
+        <span class="n">cs_ratio</span> <span class="o">=</span> <span class="n">RANDOM_GENERATOR</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
+        <span class="n">cs_ratio</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">repeat</span><span class="p">(</span><span class="n">cs_ratio</span><span class="p">,</span> <span class="mi">24</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+
+        <span class="n">OutputHandlerH5</span><span class="o">.</span><span class="n">write_output</span><span class="p">(</span>
+            <span class="n">cs_ratio</span><span class="p">,</span>
+            <span class="p">[</span><span class="s1">&#39;clearsky_ratio&#39;</span><span class="p">],</span>
+            <span class="n">low_res_lat_lon</span><span class="p">,</span>
+            <span class="p">[</span><span class="n">timestamp</span><span class="p">],</span>
+            <span class="n">out_file</span><span class="p">,</span>
+            <span class="n">max_workers</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+            <span class="n">meta_data</span><span class="o">=</span><span class="n">model_meta</span><span class="p">,</span>
+        <span class="p">)</span>
+    <span class="k">return</span> <span class="n">fps</span><span class="p">,</span> <span class="n">fp_pattern</span></div>
+
+</pre></div>
+
+                </article>
+              
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+<li class="toctree-l4"><a class="reference internal" href="../../../_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.html">sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss</a></li>
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+  <h1>Source code for sup3r.utilities.utilities</h1><div class="highlight"><pre>
+<span></span><span class="sd">&quot;&quot;&quot;Miscellaneous utilities shared across multiple modules&quot;&quot;&quot;</span>
+
+<span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">import</span> <span class="nn">logging</span>
+<span class="kn">import</span> <span class="nn">random</span>
+<span class="kn">import</span> <span class="nn">string</span>
+<span class="kn">import</span> <span class="nn">time</span>
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">tensorflow</span> <span class="k">as</span> <span class="nn">tf</span>
+<span class="kn">import</span> <span class="nn">xarray</span> <span class="k">as</span> <span class="nn">xr</span>
+<span class="kn">from</span> <span class="nn">packaging</span> <span class="kn">import</span> <span class="n">version</span>
+<span class="kn">from</span> <span class="nn">scipy</span> <span class="kn">import</span> <span class="n">ndimage</span> <span class="k">as</span> <span class="n">nd</span>
+
+<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
+
+<span class="n">RANDOM_GENERATOR</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">default_rng</span><span class="p">(</span><span class="n">seed</span><span class="o">=</span><span class="mi">42</span><span class="p">)</span>
+
+
+<div class="viewcode-block" id="preprocess_datasets">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.utilities.preprocess_datasets.html#sup3r.utilities.utilities.preprocess_datasets">[docs]</a>
+<span class="k">def</span> <span class="nf">preprocess_datasets</span><span class="p">(</span><span class="n">dset</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Standardization preprocessing applied before datasets are concatenated</span>
+<span class="sd">    by ``xr.open_mfdataset``&quot;&quot;&quot;</span>
+    <span class="k">if</span> <span class="s1">&#39;time&#39;</span> <span class="ow">in</span> <span class="n">dset</span> <span class="ow">and</span> <span class="n">dset</span><span class="o">.</span><span class="n">time</span><span class="o">.</span><span class="n">size</span> <span class="o">&gt;</span> <span class="mi">1</span><span class="p">:</span>
+        <span class="k">if</span> <span class="s1">&#39;time&#39;</span> <span class="ow">in</span> <span class="n">dset</span><span class="o">.</span><span class="n">indexes</span> <span class="ow">and</span> <span class="nb">hasattr</span><span class="p">(</span>
+            <span class="n">dset</span><span class="o">.</span><span class="n">indexes</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">],</span> <span class="s1">&#39;to_datetimeindex&#39;</span>
+        <span class="p">):</span>
+            <span class="n">dset</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">dset</span><span class="o">.</span><span class="n">indexes</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">to_datetimeindex</span><span class="p">()</span>
+        <span class="n">ti</span> <span class="o">=</span> <span class="n">dset</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">int</span><span class="p">)</span>
+        <span class="n">dset</span><span class="p">[</span><span class="s1">&#39;time&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">ti</span>
+    <span class="k">if</span> <span class="s1">&#39;latitude&#39;</span> <span class="ow">in</span> <span class="n">dset</span><span class="o">.</span><span class="n">dims</span><span class="p">:</span>
+        <span class="n">dset</span> <span class="o">=</span> <span class="n">dset</span><span class="o">.</span><span class="n">swap_dims</span><span class="p">({</span><span class="s1">&#39;latitude&#39;</span><span class="p">:</span> <span class="s1">&#39;south_north&#39;</span><span class="p">})</span>
+    <span class="k">if</span> <span class="s1">&#39;longitude&#39;</span> <span class="ow">in</span> <span class="n">dset</span><span class="o">.</span><span class="n">dims</span><span class="p">:</span>
+        <span class="n">dset</span> <span class="o">=</span> <span class="n">dset</span><span class="o">.</span><span class="n">swap_dims</span><span class="p">({</span><span class="s1">&#39;longitude&#39;</span><span class="p">:</span> <span class="s1">&#39;west_east&#39;</span><span class="p">})</span>
+    <span class="c1"># temporary to handle downloaded era files</span>
+    <span class="k">if</span> <span class="s1">&#39;expver&#39;</span> <span class="ow">in</span> <span class="n">dset</span><span class="p">:</span>
+        <span class="n">dset</span> <span class="o">=</span> <span class="n">dset</span><span class="o">.</span><span class="n">drop_vars</span><span class="p">(</span><span class="s1">&#39;expver&#39;</span><span class="p">)</span>
+    <span class="k">if</span> <span class="s1">&#39;number&#39;</span> <span class="ow">in</span> <span class="n">dset</span><span class="p">:</span>
+        <span class="n">dset</span> <span class="o">=</span> <span class="n">dset</span><span class="o">.</span><span class="n">drop_vars</span><span class="p">(</span><span class="s1">&#39;number&#39;</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">dset</span></div>
+
+
+
+<div class="viewcode-block" id="xr_open_mfdataset">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.utilities.xr_open_mfdataset.html#sup3r.utilities.utilities.xr_open_mfdataset">[docs]</a>
+<span class="k">def</span> <span class="nf">xr_open_mfdataset</span><span class="p">(</span><span class="n">files</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Wrapper for xr.open_mfdataset with default opening options.&quot;&quot;&quot;</span>
+    <span class="n">default_kwargs</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;engine&#39;</span><span class="p">:</span> <span class="s1">&#39;netcdf4&#39;</span><span class="p">}</span>
+    <span class="n">default_kwargs</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">kwargs</span><span class="p">)</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">files</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+        <span class="n">files</span> <span class="o">=</span> <span class="p">[</span><span class="n">files</span><span class="p">]</span>
+    <span class="k">return</span> <span class="n">xr</span><span class="o">.</span><span class="n">open_mfdataset</span><span class="p">(</span>
+        <span class="n">files</span><span class="p">,</span> <span class="n">preprocess</span><span class="o">=</span><span class="n">preprocess_datasets</span><span class="p">,</span> <span class="o">**</span><span class="n">default_kwargs</span>
+    <span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="safe_cast">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.utilities.safe_cast.html#sup3r.utilities.utilities.safe_cast">[docs]</a>
+<span class="k">def</span> <span class="nf">safe_cast</span><span class="p">(</span><span class="n">o</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Cast to type safe for serialization.&quot;&quot;&quot;</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">o</span><span class="p">,</span> <span class="n">tf</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span>
+        <span class="n">o</span> <span class="o">=</span> <span class="n">o</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">o</span><span class="p">,</span> <span class="p">(</span><span class="nb">float</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">float64</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)):</span>
+        <span class="k">return</span> <span class="nb">float</span><span class="p">(</span><span class="n">o</span><span class="p">)</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">o</span><span class="p">,</span> <span class="p">(</span><span class="nb">int</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">int64</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">int32</span><span class="p">)):</span>
+        <span class="k">return</span> <span class="nb">int</span><span class="p">(</span><span class="n">o</span><span class="p">)</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">o</span><span class="p">,</span> <span class="p">(</span><span class="nb">tuple</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">)):</span>
+        <span class="k">return</span> <span class="nb">list</span><span class="p">(</span><span class="n">o</span><span class="p">)</span>
+    <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">o</span><span class="p">,</span> <span class="p">(</span><span class="nb">str</span><span class="p">,</span> <span class="nb">list</span><span class="p">)):</span>
+        <span class="k">return</span> <span class="n">o</span>
+    <span class="k">return</span> <span class="nb">str</span><span class="p">(</span><span class="n">o</span><span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="safe_serialize">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.utilities.safe_serialize.html#sup3r.utilities.utilities.safe_serialize">[docs]</a>
+<span class="k">def</span> <span class="nf">safe_serialize</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;json.dumps with non-serializable object handling.&quot;&quot;&quot;</span>
+    <span class="k">return</span> <span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="n">default</span><span class="o">=</span><span class="n">safe_cast</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
+
+
+
+<div class="viewcode-block" id="Timer">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.utilities.Timer.html#sup3r.utilities.utilities.Timer">[docs]</a>
+<span class="k">class</span> <span class="nc">Timer</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Timer class for timing and storing function call times.&quot;&quot;&quot;</span>
+
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">log</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_elapsed</span> <span class="o">=</span> <span class="mi">0</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_start</span> <span class="o">=</span> <span class="kc">None</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_stop</span> <span class="o">=</span> <span class="kc">None</span>
+
+<div class="viewcode-block" id="Timer.start">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.utilities.Timer.html#sup3r.utilities.utilities.Timer.start">[docs]</a>
+    <span class="k">def</span> <span class="nf">start</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Set start of timing period.&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_start</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span></div>
+
+
+<div class="viewcode-block" id="Timer.stop">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.utilities.Timer.html#sup3r.utilities.utilities.Timer.stop">[docs]</a>
+    <span class="k">def</span> <span class="nf">stop</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Set stop time of timing period.&quot;&quot;&quot;</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_stop</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span></div>
+
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">elapsed</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Elapsed time between start and stop.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_stop</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">_start</span>
+
+    <span class="nd">@property</span>
+    <span class="k">def</span> <span class="nf">elapsed_str</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Elapsed time in string format.&quot;&quot;&quot;</span>
+        <span class="k">return</span> <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="nb">round</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">elapsed</span><span class="p">,</span><span class="w"> </span><span class="mi">5</span><span class="p">)</span><span class="si">}</span><span class="s1"> seconds&#39;</span>
+
+<div class="viewcode-block" id="Timer.__call__">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.utilities.Timer.html#sup3r.utilities.utilities.Timer.__call__">[docs]</a>
+    <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">func</span><span class="p">,</span> <span class="n">call_id</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">log</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;Time function call and store elapsed time in self.log.</span>
+
+<span class="sd">        Parameters</span>
+<span class="sd">        ----------</span>
+<span class="sd">        func : function</span>
+<span class="sd">            Function to time</span>
+<span class="sd">        call_id: int | None</span>
+<span class="sd">            ID to distingush calls with the same function name. For example,</span>
+<span class="sd">            when runnning forward passes on multiple chunks.</span>
+<span class="sd">        log : bool</span>
+<span class="sd">            Whether to write to active logger</span>
+
+<span class="sd">        Returns</span>
+<span class="sd">        -------</span>
+<span class="sd">        output of func</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="k">def</span> <span class="nf">wrapper</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">            </span><span class="sd">&quot;&quot;&quot;Wrapper with decorator pattern.</span>
+
+<span class="sd">            Parameters</span>
+<span class="sd">            ----------</span>
+<span class="sd">            args : list</span>
+<span class="sd">                positional arguments for fun</span>
+<span class="sd">            kwargs : dict</span>
+<span class="sd">                keyword arguments for fun</span>
+<span class="sd">            &quot;&quot;&quot;</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">start</span><span class="p">()</span>
+            <span class="n">out</span> <span class="o">=</span> <span class="n">func</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">stop</span><span class="p">()</span>
+            <span class="k">if</span> <span class="n">call_id</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+                <span class="n">entry</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">call_id</span><span class="p">,</span> <span class="p">{})</span>
+                <span class="n">entry</span><span class="p">[</span><span class="n">func</span><span class="o">.</span><span class="vm">__name__</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">elapsed</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="p">[</span><span class="n">call_id</span><span class="p">]</span> <span class="o">=</span> <span class="n">entry</span>
+            <span class="k">else</span><span class="p">:</span>
+                <span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="p">[</span><span class="n">func</span><span class="o">.</span><span class="vm">__name__</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">elapsed</span>
+            <span class="k">if</span> <span class="n">log</span><span class="p">:</span>
+                <span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
+                    <span class="s1">&#39;Call to </span><span class="si">%s</span><span class="s1"> finished in </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span>
+                    <span class="n">func</span><span class="o">.</span><span class="vm">__name__</span><span class="p">,</span>
+                    <span class="bp">self</span><span class="o">.</span><span class="n">elapsed_str</span><span class="p">,</span>
+                <span class="p">)</span>
+            <span class="k">return</span> <span class="n">out</span>
+
+        <span class="k">return</span> <span class="n">wrapper</span></div>
+</div>
+
+
+
+<div class="viewcode-block" id="generate_random_string">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.utilities.generate_random_string.html#sup3r.utilities.utilities.generate_random_string">[docs]</a>
+<span class="k">def</span> <span class="nf">generate_random_string</span><span class="p">(</span><span class="n">length</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Generate random string with given length. Used for naming temporary</span>
+<span class="sd">    files to avoid collisions.&quot;&quot;&quot;</span>
+    <span class="n">letters</span> <span class="o">=</span> <span class="n">string</span><span class="o">.</span><span class="n">ascii_letters</span>
+    <span class="k">return</span> <span class="s1">&#39;&#39;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">random</span><span class="o">.</span><span class="n">choice</span><span class="p">(</span><span class="n">letters</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">length</span><span class="p">))</span></div>
+
+
+
+<div class="viewcode-block" id="temporal_coarsening">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.utilities.temporal_coarsening.html#sup3r.utilities.utilities.temporal_coarsening">[docs]</a>
+<span class="k">def</span> <span class="nf">temporal_coarsening</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">t_enhance</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="n">method</span><span class="o">=</span><span class="s1">&#39;subsample&#39;</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Coarsen data according to t_enhance resolution</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    data : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        5D array with dimensions</span>
+<span class="sd">        (observations, spatial_1, spatial_2, temporal, features)</span>
+<span class="sd">    t_enhance : int</span>
+<span class="sd">        factor by which to coarsen temporal dimension</span>
+<span class="sd">    method : str</span>
+<span class="sd">        accepted options: [subsample, average, total, min, max]</span>
+<span class="sd">        Subsample will take every t_enhance-th time step, average will average</span>
+<span class="sd">        over t_enhance time steps, total will sum over t_enhance time steps</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    coarse_data : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        5D array with same dimensions as data with new coarse resolution</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">if</span> <span class="n">t_enhance</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">5</span><span class="p">:</span>
+        <span class="n">new_shape</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
+            <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span>
+            <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span>
+            <span class="o">-</span><span class="mi">1</span><span class="p">,</span>
+            <span class="n">t_enhance</span><span class="p">,</span>
+            <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">4</span><span class="p">],</span>
+        <span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">method</span> <span class="o">==</span> <span class="s1">&#39;subsample&#39;</span><span class="p">:</span>
+            <span class="n">coarse_data</span> <span class="o">=</span> <span class="n">data</span><span class="p">[:,</span> <span class="p">:,</span> <span class="p">:,</span> <span class="p">::</span><span class="n">t_enhance</span><span class="p">,</span> <span class="p">:]</span>
+
+        <span class="k">elif</span> <span class="n">method</span> <span class="o">==</span> <span class="s1">&#39;average&#39;</span><span class="p">:</span>
+            <span class="n">coarse_data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nansum</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">new_shape</span><span class="p">),</span> <span class="n">axis</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span>
+            <span class="n">coarse_data</span> <span class="o">/=</span> <span class="n">t_enhance</span>
+
+        <span class="k">elif</span> <span class="n">method</span> <span class="o">==</span> <span class="s1">&#39;max&#39;</span><span class="p">:</span>
+            <span class="n">coarse_data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">new_shape</span><span class="p">),</span> <span class="n">axis</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span>
+
+        <span class="k">elif</span> <span class="n">method</span> <span class="o">==</span> <span class="s1">&#39;min&#39;</span><span class="p">:</span>
+            <span class="n">coarse_data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">new_shape</span><span class="p">),</span> <span class="n">axis</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span>
+
+        <span class="k">elif</span> <span class="n">method</span> <span class="o">==</span> <span class="s1">&#39;total&#39;</span><span class="p">:</span>
+            <span class="n">coarse_data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nansum</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">new_shape</span><span class="p">),</span> <span class="n">axis</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span>
+
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="sa">f</span><span class="s1">&#39;Did not recognize temporal_coarsening method &quot;</span><span class="si">{</span><span class="n">method</span><span class="si">}</span><span class="s1">&quot;, &#39;</span>
+                <span class="s1">&#39;can only accept one of: [subsample, average, total, max, min]&#39;</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">KeyError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+    <span class="k">else</span><span class="p">:</span>
+        <span class="n">coarse_data</span> <span class="o">=</span> <span class="n">data</span>
+
+    <span class="k">return</span> <span class="n">coarse_data</span></div>
+
+
+
+<div class="viewcode-block" id="spatial_coarsening">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.utilities.spatial_coarsening.html#sup3r.utilities.utilities.spatial_coarsening">[docs]</a>
+<span class="k">def</span> <span class="nf">spatial_coarsening</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">s_enhance</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">obs_axis</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Coarsen data according to s_enhance resolution</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    data : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        5D | 4D | 3D | 2D array with dimensions:</span>
+<span class="sd">        (n_obs, spatial_1, spatial_2, temporal, features) (obs_axis=True)</span>
+<span class="sd">        (n_obs, spatial_1, spatial_2, features) (obs_axis=True)</span>
+<span class="sd">        (spatial_1, spatial_2, temporal, features) (obs_axis=False)</span>
+<span class="sd">        (spatial_1, spatial_2, temporal_or_features) (obs_axis=False)</span>
+<span class="sd">        (spatial_1, spatial_2) (obs_axis=False)</span>
+<span class="sd">    s_enhance : int</span>
+<span class="sd">        factor by which to coarsen spatial dimensions</span>
+<span class="sd">    obs_axis : bool</span>
+<span class="sd">        Flag for if axis=0 is the observation axis. If True (default)</span>
+<span class="sd">        spatial axis=(1, 2) (zero-indexed), if False spatial axis=(0, 1)</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    data : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        2D, 3D | 4D | 5D array with same dimensions as data with new coarse</span>
+<span class="sd">        resolution</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">&lt;</span> <span class="mi">2</span><span class="p">:</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Data must be 2D, 3D, 4D, or 5D to do spatial coarsening, but &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;received: </span><span class="si">{</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+    <span class="k">if</span> <span class="n">obs_axis</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">&lt;</span> <span class="mi">3</span><span class="p">:</span>
+        <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+            <span class="s1">&#39;Data must be 3D, 4D, or 5D to do spatial coarsening with &#39;</span>
+            <span class="sa">f</span><span class="s1">&#39;obs_axis=True, but received: </span><span class="si">{</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">&#39;</span>
+        <span class="p">)</span>
+        <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+        <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+    <span class="k">if</span> <span class="n">s_enhance</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">s_enhance</span> <span class="o">&gt;</span> <span class="mi">1</span><span class="p">:</span>
+        <span class="n">bad1</span> <span class="o">=</span> <span class="n">obs_axis</span> <span class="ow">and</span> <span class="p">(</span>
+            <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">%</span> <span class="n">s_enhance</span> <span class="o">!=</span> <span class="mi">0</span> <span class="ow">or</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">%</span> <span class="n">s_enhance</span> <span class="o">!=</span> <span class="mi">0</span>
+        <span class="p">)</span>
+        <span class="n">bad2</span> <span class="o">=</span> <span class="ow">not</span> <span class="n">obs_axis</span> <span class="ow">and</span> <span class="p">(</span>
+            <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">%</span> <span class="n">s_enhance</span> <span class="o">!=</span> <span class="mi">0</span> <span class="ow">or</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">%</span> <span class="n">s_enhance</span> <span class="o">!=</span> <span class="mi">0</span>
+        <span class="p">)</span>
+        <span class="k">if</span> <span class="n">bad1</span> <span class="ow">or</span> <span class="n">bad2</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;s_enhance must evenly divide grid size. &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;Received s_enhance: </span><span class="si">{</span><span class="n">s_enhance</span><span class="si">}</span><span class="s1"> with data shape: &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+        <span class="k">if</span> <span class="n">obs_axis</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">3</span><span class="p">:</span>
+            <span class="n">data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span>
+                <span class="n">data</span><span class="p">,</span>
+                <span class="p">(</span>
+                    <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
+                    <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">//</span> <span class="n">s_enhance</span><span class="p">,</span>
+                    <span class="n">s_enhance</span><span class="p">,</span>
+                    <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">//</span> <span class="n">s_enhance</span><span class="p">,</span>
+                    <span class="n">s_enhance</span><span class="p">,</span>
+                <span class="p">),</span>
+            <span class="p">)</span>
+            <span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">4</span><span class="p">))</span> <span class="o">/</span> <span class="n">s_enhance</span><span class="o">**</span><span class="mi">2</span>
+
+        <span class="k">elif</span> <span class="n">obs_axis</span><span class="p">:</span>
+            <span class="n">data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span>
+                <span class="n">data</span><span class="p">,</span>
+                <span class="p">(</span>
+                    <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
+                    <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">//</span> <span class="n">s_enhance</span><span class="p">,</span>
+                    <span class="n">s_enhance</span><span class="p">,</span>
+                    <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">//</span> <span class="n">s_enhance</span><span class="p">,</span>
+                    <span class="n">s_enhance</span><span class="p">,</span>
+                    <span class="o">*</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">3</span><span class="p">:],</span>
+                <span class="p">),</span>
+            <span class="p">)</span>
+            <span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">4</span><span class="p">))</span> <span class="o">/</span> <span class="n">s_enhance</span><span class="o">**</span><span class="mi">2</span>
+
+        <span class="k">elif</span> <span class="ow">not</span> <span class="n">obs_axis</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">:</span>
+            <span class="n">data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span>
+                <span class="n">data</span><span class="p">,</span>
+                <span class="p">(</span>
+                    <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">//</span> <span class="n">s_enhance</span><span class="p">,</span>
+                    <span class="n">s_enhance</span><span class="p">,</span>
+                    <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">//</span> <span class="n">s_enhance</span><span class="p">,</span>
+                    <span class="n">s_enhance</span><span class="p">,</span>
+                <span class="p">),</span>
+            <span class="p">)</span>
+            <span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span> <span class="o">/</span> <span class="n">s_enhance</span><span class="o">**</span><span class="mi">2</span>
+
+        <span class="k">elif</span> <span class="ow">not</span> <span class="n">obs_axis</span><span class="p">:</span>
+            <span class="n">data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span>
+                <span class="n">data</span><span class="p">,</span>
+                <span class="p">(</span>
+                    <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">//</span> <span class="n">s_enhance</span><span class="p">,</span>
+                    <span class="n">s_enhance</span><span class="p">,</span>
+                    <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">//</span> <span class="n">s_enhance</span><span class="p">,</span>
+                    <span class="n">s_enhance</span><span class="p">,</span>
+                    <span class="o">*</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">:],</span>
+                <span class="p">),</span>
+            <span class="p">)</span>
+            <span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span> <span class="o">/</span> <span class="n">s_enhance</span><span class="o">**</span><span class="mi">2</span>
+
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
+                <span class="s1">&#39;Data must be 2D, 3D, 4D, or 5D to do spatial coarsening, but &#39;</span>
+                <span class="sa">f</span><span class="s1">&#39;received: </span><span class="si">{</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">&#39;</span>
+            <span class="p">)</span>
+            <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+            <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
+
+    <span class="k">return</span> <span class="n">data</span></div>
+
+
+
+<div class="viewcode-block" id="nn_fill_array">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.utilities.nn_fill_array.html#sup3r.utilities.utilities.nn_fill_array">[docs]</a>
+<span class="k">def</span> <span class="nf">nn_fill_array</span><span class="p">(</span><span class="n">array</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;Fill any NaN values in an np.ndarray from the nearest non-nan values.</span>
+
+<span class="sd">    Parameters</span>
+<span class="sd">    ----------</span>
+<span class="sd">    array : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        Input array with NaN values</span>
+
+<span class="sd">    Returns</span>
+<span class="sd">    -------</span>
+<span class="sd">    array : Union[np.ndarray, da.core.Array]</span>
+<span class="sd">        Output array with NaN values filled</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+
+    <span class="n">nan_mask</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">array</span><span class="p">)</span>
+    <span class="n">indices</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">distance_transform_edt</span><span class="p">(</span>
+        <span class="n">nan_mask</span><span class="p">,</span> <span class="n">return_distances</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">return_indices</span><span class="o">=</span><span class="kc">True</span>
+    <span class="p">)</span>
+    <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">array</span><span class="p">,</span> <span class="s1">&#39;vindex&#39;</span><span class="p">):</span>
+        <span class="k">return</span> <span class="n">array</span><span class="o">.</span><span class="n">vindex</span><span class="p">[</span><span class="nb">tuple</span><span class="p">(</span><span class="n">indices</span><span class="p">)]</span>
+    <span class="k">return</span> <span class="n">array</span><span class="p">[</span><span class="nb">tuple</span><span class="p">(</span><span class="n">indices</span><span class="p">)]</span></div>
+
+
+
+<div class="viewcode-block" id="pd_date_range">
+<a class="viewcode-back" href="../../../_autosummary/sup3r.utilities.utilities.pd_date_range.html#sup3r.utilities.utilities.pd_date_range">[docs]</a>
+<span class="k">def</span> <span class="nf">pd_date_range</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;A simple wrapper on the pd.date_range() method that handles the closed</span>
+<span class="sd">    vs. inclusive kwarg change in pd 1.4.0&quot;&quot;&quot;</span>
+    <span class="n">incl</span> <span class="o">=</span> <span class="n">version</span><span class="o">.</span><span class="n">parse</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">__version__</span><span class="p">)</span> <span class="o">&gt;=</span> <span class="n">version</span><span class="o">.</span><span class="n">parse</span><span class="p">(</span><span class="s1">&#39;1.4.0&#39;</span><span class="p">)</span>
+
+    <span class="k">if</span> <span class="n">incl</span> <span class="ow">and</span> <span class="s1">&#39;closed&#39;</span> <span class="ow">in</span> <span class="n">kwargs</span><span class="p">:</span>
+        <span class="n">kwargs</span><span class="p">[</span><span class="s1">&#39;inclusive&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">&#39;closed&#39;</span><span class="p">)</span>
+    <span class="k">elif</span> <span class="ow">not</span> <span class="n">incl</span> <span class="ow">and</span> <span class="s1">&#39;inclusive&#39;</span> <span class="ow">in</span> <span class="n">kwargs</span><span class="p">:</span>
+        <span class="n">kwargs</span><span class="p">[</span><span class="s1">&#39;closed&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">&#39;inclusive&#39;</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">kwargs</span><span class="p">[</span><span class="s1">&#39;closed&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;both&#39;</span><span class="p">:</span>
+            <span class="n">kwargs</span><span class="p">[</span><span class="s1">&#39;closed&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+
+    <span class="k">return</span> <span class="n">pd</span><span class="o">.</span><span class="n">date_range</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
+
+</pre></div>
+
+                </article>
+              
+
+              
+              
+              
+              
+                <footer class="prev-next-footer d-print-none">
+                  
+<div class="prev-next-area">
+</div>
+                </footer>
+              
+            </div>
+            
+            
+              
+            
+          </div>
+          <footer class="bd-footer-content">
+            
+<div class="bd-footer-content__inner container">
+  
+  <div class="footer-item">
+    
+<p class="component-author">
+By Brandon Benton, Grant Buster, Andrew Glaws, Ryan King
+</p>
+
+  </div>
+  
+  <div class="footer-item">
+    
+
+  <p class="copyright">
+    
+      © Copyright 2022, Alliance for Sustainable Energy, LLC.
+      <br/>
+    
+  </p>
+
+  </div>
+  
+  <div class="footer-item">
+    
+  </div>
+  
+  <div class="footer-item">
+    
+  </div>
+  
+</div>
+          </footer>
+        
+
+      </main>
+    </div>
+  </div>
+  
+  <!-- Scripts loaded after <body> so the DOM is not blocked -->
+  <script defer src="../../../_static/scripts/bootstrap.js?digest=26a4bc78f4c0ddb94549"></script>
+<script defer src="../../../_static/scripts/pydata-sphinx-theme.js?digest=26a4bc78f4c0ddb94549"></script>
+
+  <footer class="bd-footer">
+  </footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.batch.batch_cli.rst b/_sources/_autosummary/sup3r.batch.batch_cli.rst
new file mode 100644
index 000000000..0546525ed
--- /dev/null
+++ b/_sources/_autosummary/sup3r.batch.batch_cli.rst
@@ -0,0 +1,23 @@
+sup3r.batch.batch\_cli
+======================
+
+.. automodule:: sup3r.batch.batch_cli
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.batch.rst b/_sources/_autosummary/sup3r.batch.rst
new file mode 100644
index 000000000..e4333ebde
--- /dev/null
+++ b/_sources/_autosummary/sup3r.batch.rst
@@ -0,0 +1,30 @@
+sup3r.batch
+===========
+
+.. automodule:: sup3r.batch
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
+.. autosummary::
+   :toctree:
+   :template: custom-module-template.rst
+   :recursive:
+
+   batch_cli
+
diff --git a/_sources/_autosummary/sup3r.bias.base.DataRetrievalBase.rst b/_sources/_autosummary/sup3r.bias.base.DataRetrievalBase.rst
new file mode 100644
index 000000000..d090ef0dd
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.base.DataRetrievalBase.rst
@@ -0,0 +1,38 @@
+sup3r.bias.base.DataRetrievalBase
+=================================
+
+.. currentmodule:: sup3r.bias.base
+
+.. autoclass:: DataRetrievalBase
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~DataRetrievalBase.compare_dists
+      ~DataRetrievalBase.get_base_data
+      ~DataRetrievalBase.get_base_gid
+      ~DataRetrievalBase.get_bias_data
+      ~DataRetrievalBase.get_bias_gid
+      ~DataRetrievalBase.get_data_pair
+      ~DataRetrievalBase.get_node_cmd
+      ~DataRetrievalBase.pre_load
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~DataRetrievalBase.distance_upper_bound
+      ~DataRetrievalBase.meta
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.bias.base.rst b/_sources/_autosummary/sup3r.bias.base.rst
new file mode 100644
index 000000000..603cd533f
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.base.rst
@@ -0,0 +1,31 @@
+sup3r.bias.base
+===============
+
+.. automodule:: sup3r.bias.base
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      DataRetrievalBase
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.bias.bias_calc.LinearCorrection.rst b/_sources/_autosummary/sup3r.bias.bias_calc.LinearCorrection.rst
new file mode 100644
index 000000000..3399d2cd8
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.bias_calc.LinearCorrection.rst
@@ -0,0 +1,43 @@
+sup3r.bias.bias\_calc.LinearCorrection
+======================================
+
+.. currentmodule:: sup3r.bias.bias_calc
+
+.. autoclass:: LinearCorrection
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~LinearCorrection.compare_dists
+      ~LinearCorrection.fill_and_smooth
+      ~LinearCorrection.get_base_data
+      ~LinearCorrection.get_base_gid
+      ~LinearCorrection.get_bias_data
+      ~LinearCorrection.get_bias_gid
+      ~LinearCorrection.get_data_pair
+      ~LinearCorrection.get_linear_correction
+      ~LinearCorrection.get_node_cmd
+      ~LinearCorrection.pre_load
+      ~LinearCorrection.run
+      ~LinearCorrection.write_outputs
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~LinearCorrection.NT
+      ~LinearCorrection.distance_upper_bound
+      ~LinearCorrection.meta
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.bias.bias_calc.MonthlyLinearCorrection.rst b/_sources/_autosummary/sup3r.bias.bias_calc.MonthlyLinearCorrection.rst
new file mode 100644
index 000000000..134f740a4
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.bias_calc.MonthlyLinearCorrection.rst
@@ -0,0 +1,43 @@
+sup3r.bias.bias\_calc.MonthlyLinearCorrection
+=============================================
+
+.. currentmodule:: sup3r.bias.bias_calc
+
+.. autoclass:: MonthlyLinearCorrection
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~MonthlyLinearCorrection.compare_dists
+      ~MonthlyLinearCorrection.fill_and_smooth
+      ~MonthlyLinearCorrection.get_base_data
+      ~MonthlyLinearCorrection.get_base_gid
+      ~MonthlyLinearCorrection.get_bias_data
+      ~MonthlyLinearCorrection.get_bias_gid
+      ~MonthlyLinearCorrection.get_data_pair
+      ~MonthlyLinearCorrection.get_linear_correction
+      ~MonthlyLinearCorrection.get_node_cmd
+      ~MonthlyLinearCorrection.pre_load
+      ~MonthlyLinearCorrection.run
+      ~MonthlyLinearCorrection.write_outputs
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~MonthlyLinearCorrection.NT
+      ~MonthlyLinearCorrection.distance_upper_bound
+      ~MonthlyLinearCorrection.meta
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.bias.bias_calc.MonthlyScalarCorrection.rst b/_sources/_autosummary/sup3r.bias.bias_calc.MonthlyScalarCorrection.rst
new file mode 100644
index 000000000..dfbee49ec
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.bias_calc.MonthlyScalarCorrection.rst
@@ -0,0 +1,43 @@
+sup3r.bias.bias\_calc.MonthlyScalarCorrection
+=============================================
+
+.. currentmodule:: sup3r.bias.bias_calc
+
+.. autoclass:: MonthlyScalarCorrection
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~MonthlyScalarCorrection.compare_dists
+      ~MonthlyScalarCorrection.fill_and_smooth
+      ~MonthlyScalarCorrection.get_base_data
+      ~MonthlyScalarCorrection.get_base_gid
+      ~MonthlyScalarCorrection.get_bias_data
+      ~MonthlyScalarCorrection.get_bias_gid
+      ~MonthlyScalarCorrection.get_data_pair
+      ~MonthlyScalarCorrection.get_linear_correction
+      ~MonthlyScalarCorrection.get_node_cmd
+      ~MonthlyScalarCorrection.pre_load
+      ~MonthlyScalarCorrection.run
+      ~MonthlyScalarCorrection.write_outputs
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~MonthlyScalarCorrection.NT
+      ~MonthlyScalarCorrection.distance_upper_bound
+      ~MonthlyScalarCorrection.meta
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.bias.bias_calc.ScalarCorrection.rst b/_sources/_autosummary/sup3r.bias.bias_calc.ScalarCorrection.rst
new file mode 100644
index 000000000..56211d6f4
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.bias_calc.ScalarCorrection.rst
@@ -0,0 +1,43 @@
+sup3r.bias.bias\_calc.ScalarCorrection
+======================================
+
+.. currentmodule:: sup3r.bias.bias_calc
+
+.. autoclass:: ScalarCorrection
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~ScalarCorrection.compare_dists
+      ~ScalarCorrection.fill_and_smooth
+      ~ScalarCorrection.get_base_data
+      ~ScalarCorrection.get_base_gid
+      ~ScalarCorrection.get_bias_data
+      ~ScalarCorrection.get_bias_gid
+      ~ScalarCorrection.get_data_pair
+      ~ScalarCorrection.get_linear_correction
+      ~ScalarCorrection.get_node_cmd
+      ~ScalarCorrection.pre_load
+      ~ScalarCorrection.run
+      ~ScalarCorrection.write_outputs
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~ScalarCorrection.NT
+      ~ScalarCorrection.distance_upper_bound
+      ~ScalarCorrection.meta
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.bias.bias_calc.SkillAssessment.rst b/_sources/_autosummary/sup3r.bias.bias_calc.SkillAssessment.rst
new file mode 100644
index 000000000..3bd2c0517
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.bias_calc.SkillAssessment.rst
@@ -0,0 +1,44 @@
+sup3r.bias.bias\_calc.SkillAssessment
+=====================================
+
+.. currentmodule:: sup3r.bias.bias_calc
+
+.. autoclass:: SkillAssessment
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~SkillAssessment.compare_dists
+      ~SkillAssessment.fill_and_smooth
+      ~SkillAssessment.get_base_data
+      ~SkillAssessment.get_base_gid
+      ~SkillAssessment.get_bias_data
+      ~SkillAssessment.get_bias_gid
+      ~SkillAssessment.get_data_pair
+      ~SkillAssessment.get_linear_correction
+      ~SkillAssessment.get_node_cmd
+      ~SkillAssessment.pre_load
+      ~SkillAssessment.run
+      ~SkillAssessment.write_outputs
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~SkillAssessment.NT
+      ~SkillAssessment.PERCENTILES
+      ~SkillAssessment.distance_upper_bound
+      ~SkillAssessment.meta
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.bias.bias_calc.rst b/_sources/_autosummary/sup3r.bias.bias_calc.rst
new file mode 100644
index 000000000..5647ba7aa
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.bias_calc.rst
@@ -0,0 +1,35 @@
+sup3r.bias.bias\_calc
+=====================
+
+.. automodule:: sup3r.bias.bias_calc
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      LinearCorrection
+      MonthlyLinearCorrection
+      MonthlyScalarCorrection
+      ScalarCorrection
+      SkillAssessment
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.bias.bias_calc_cli.kickoff_local_job.rst b/_sources/_autosummary/sup3r.bias.bias_calc_cli.kickoff_local_job.rst
new file mode 100644
index 000000000..e13ed8bab
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.bias_calc_cli.kickoff_local_job.rst
@@ -0,0 +1,6 @@
+sup3r.bias.bias\_calc\_cli.kickoff\_local\_job
+==============================================
+
+.. currentmodule:: sup3r.bias.bias_calc_cli
+
+.. autofunction:: kickoff_local_job
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.bias.bias_calc_cli.kickoff_slurm_job.rst b/_sources/_autosummary/sup3r.bias.bias_calc_cli.kickoff_slurm_job.rst
new file mode 100644
index 000000000..661e825ee
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.bias_calc_cli.kickoff_slurm_job.rst
@@ -0,0 +1,6 @@
+sup3r.bias.bias\_calc\_cli.kickoff\_slurm\_job
+==============================================
+
+.. currentmodule:: sup3r.bias.bias_calc_cli
+
+.. autofunction:: kickoff_slurm_job
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.bias.bias_calc_cli.rst b/_sources/_autosummary/sup3r.bias.bias_calc_cli.rst
new file mode 100644
index 000000000..330e61a4a
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.bias_calc_cli.rst
@@ -0,0 +1,31 @@
+sup3r.bias.bias\_calc\_cli
+==========================
+
+.. automodule:: sup3r.bias.bias_calc_cli
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+      :toctree:
+   
+      kickoff_local_job
+      kickoff_slurm_job
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.rst b/_sources/_autosummary/sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.rst
new file mode 100644
index 000000000..19d0ef6b3
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.rst
@@ -0,0 +1,26 @@
+sup3r.bias.bias\_calc\_vortex.BiasCorrectUpdate
+===============================================
+
+.. currentmodule:: sup3r.bias.bias_calc_vortex
+
+.. autoclass:: BiasCorrectUpdate
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~BiasCorrectUpdate.get_bc_factors
+      ~BiasCorrectUpdate.run
+      ~BiasCorrectUpdate.update_file
+   
+   
+
+   
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.rst b/_sources/_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.rst
new file mode 100644
index 000000000..c9483cec9
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.rst
@@ -0,0 +1,48 @@
+sup3r.bias.bias\_calc\_vortex.VortexMeanPrepper
+===============================================
+
+.. currentmodule:: sup3r.bias.bias_calc_vortex
+
+.. autoclass:: VortexMeanPrepper
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~VortexMeanPrepper.convert_all_tifs
+      ~VortexMeanPrepper.convert_month_height_tif
+      ~VortexMeanPrepper.convert_month_tif
+      ~VortexMeanPrepper.get_all_data
+      ~VortexMeanPrepper.get_height_files
+      ~VortexMeanPrepper.get_input_file
+      ~VortexMeanPrepper.get_lat_lon
+      ~VortexMeanPrepper.get_month
+      ~VortexMeanPrepper.get_output_file
+      ~VortexMeanPrepper.interp
+      ~VortexMeanPrepper.run
+      ~VortexMeanPrepper.write_data
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~VortexMeanPrepper.global_attrs
+      ~VortexMeanPrepper.in_features
+      ~VortexMeanPrepper.input_files
+      ~VortexMeanPrepper.mask
+      ~VortexMeanPrepper.meta
+      ~VortexMeanPrepper.out_features
+      ~VortexMeanPrepper.output_files
+      ~VortexMeanPrepper.time_index
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.bias.bias_calc_vortex.rst b/_sources/_autosummary/sup3r.bias.bias_calc_vortex.rst
new file mode 100644
index 000000000..0e75f8b80
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.bias_calc_vortex.rst
@@ -0,0 +1,32 @@
+sup3r.bias.bias\_calc\_vortex
+=============================
+
+.. automodule:: sup3r.bias.bias_calc_vortex
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      BiasCorrectUpdate
+      VortexMeanPrepper
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.bias.bias_transforms.global_linear_bc.rst b/_sources/_autosummary/sup3r.bias.bias_transforms.global_linear_bc.rst
new file mode 100644
index 000000000..e23132432
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.bias_transforms.global_linear_bc.rst
@@ -0,0 +1,6 @@
+sup3r.bias.bias\_transforms.global\_linear\_bc
+==============================================
+
+.. currentmodule:: sup3r.bias.bias_transforms
+
+.. autofunction:: global_linear_bc
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.bias.bias_transforms.local_linear_bc.rst b/_sources/_autosummary/sup3r.bias.bias_transforms.local_linear_bc.rst
new file mode 100644
index 000000000..80194c550
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.bias_transforms.local_linear_bc.rst
@@ -0,0 +1,6 @@
+sup3r.bias.bias\_transforms.local\_linear\_bc
+=============================================
+
+.. currentmodule:: sup3r.bias.bias_transforms
+
+.. autofunction:: local_linear_bc
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.bias.bias_transforms.local_presrat_bc.rst b/_sources/_autosummary/sup3r.bias.bias_transforms.local_presrat_bc.rst
new file mode 100644
index 000000000..0724a4797
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.bias_transforms.local_presrat_bc.rst
@@ -0,0 +1,6 @@
+sup3r.bias.bias\_transforms.local\_presrat\_bc
+==============================================
+
+.. currentmodule:: sup3r.bias.bias_transforms
+
+.. autofunction:: local_presrat_bc
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.bias.bias_transforms.local_qdm_bc.rst b/_sources/_autosummary/sup3r.bias.bias_transforms.local_qdm_bc.rst
new file mode 100644
index 000000000..9beab6bcc
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.bias_transforms.local_qdm_bc.rst
@@ -0,0 +1,6 @@
+sup3r.bias.bias\_transforms.local\_qdm\_bc
+==========================================
+
+.. currentmodule:: sup3r.bias.bias_transforms
+
+.. autofunction:: local_qdm_bc
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.bias.bias_transforms.monthly_local_linear_bc.rst b/_sources/_autosummary/sup3r.bias.bias_transforms.monthly_local_linear_bc.rst
new file mode 100644
index 000000000..0225d9335
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.bias_transforms.monthly_local_linear_bc.rst
@@ -0,0 +1,6 @@
+sup3r.bias.bias\_transforms.monthly\_local\_linear\_bc
+======================================================
+
+.. currentmodule:: sup3r.bias.bias_transforms
+
+.. autofunction:: monthly_local_linear_bc
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.bias.bias_transforms.rst b/_sources/_autosummary/sup3r.bias.bias_transforms.rst
new file mode 100644
index 000000000..6664ff2e9
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.bias_transforms.rst
@@ -0,0 +1,34 @@
+sup3r.bias.bias\_transforms
+===========================
+
+.. automodule:: sup3r.bias.bias_transforms
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+      :toctree:
+   
+      global_linear_bc
+      local_linear_bc
+      local_presrat_bc
+      local_qdm_bc
+      monthly_local_linear_bc
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.bias.mixins.FillAndSmoothMixin.rst b/_sources/_autosummary/sup3r.bias.mixins.FillAndSmoothMixin.rst
new file mode 100644
index 000000000..f5b46d0d7
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.mixins.FillAndSmoothMixin.rst
@@ -0,0 +1,24 @@
+sup3r.bias.mixins.FillAndSmoothMixin
+====================================
+
+.. currentmodule:: sup3r.bias.mixins
+
+.. autoclass:: FillAndSmoothMixin
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~FillAndSmoothMixin.fill_and_smooth
+   
+   
+
+   
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.bias.mixins.ZeroRateMixin.rst b/_sources/_autosummary/sup3r.bias.mixins.ZeroRateMixin.rst
new file mode 100644
index 000000000..e6178d2be
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.mixins.ZeroRateMixin.rst
@@ -0,0 +1,24 @@
+sup3r.bias.mixins.ZeroRateMixin
+===============================
+
+.. currentmodule:: sup3r.bias.mixins
+
+.. autoclass:: ZeroRateMixin
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~ZeroRateMixin.zero_precipitation_rate
+   
+   
+
+   
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.bias.mixins.rst b/_sources/_autosummary/sup3r.bias.mixins.rst
new file mode 100644
index 000000000..fa51cf505
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.mixins.rst
@@ -0,0 +1,32 @@
+sup3r.bias.mixins
+=================
+
+.. automodule:: sup3r.bias.mixins
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      FillAndSmoothMixin
+      ZeroRateMixin
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.bias.presrat.PresRat.rst b/_sources/_autosummary/sup3r.bias.presrat.PresRat.rst
new file mode 100644
index 000000000..767e164d8
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.presrat.PresRat.rst
@@ -0,0 +1,46 @@
+sup3r.bias.presrat.PresRat
+==========================
+
+.. currentmodule:: sup3r.bias.presrat
+
+.. autoclass:: PresRat
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~PresRat.calc_k_factor
+      ~PresRat.calc_tau_fut
+      ~PresRat.compare_dists
+      ~PresRat.fill_and_smooth
+      ~PresRat.get_base_data
+      ~PresRat.get_base_gid
+      ~PresRat.get_bias_data
+      ~PresRat.get_bias_gid
+      ~PresRat.get_data_pair
+      ~PresRat.get_node_cmd
+      ~PresRat.get_qdm_params
+      ~PresRat.pre_load
+      ~PresRat.run
+      ~PresRat.window_mask
+      ~PresRat.write_outputs
+      ~PresRat.zero_precipitation_rate
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~PresRat.distance_upper_bound
+      ~PresRat.meta
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.bias.presrat.rst b/_sources/_autosummary/sup3r.bias.presrat.rst
new file mode 100644
index 000000000..4573197fe
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.presrat.rst
@@ -0,0 +1,31 @@
+sup3r.bias.presrat
+==================
+
+.. automodule:: sup3r.bias.presrat
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      PresRat
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.rst b/_sources/_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.rst
new file mode 100644
index 000000000..3b0a2dd3b
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.rst
@@ -0,0 +1,43 @@
+sup3r.bias.qdm.QuantileDeltaMappingCorrection
+=============================================
+
+.. currentmodule:: sup3r.bias.qdm
+
+.. autoclass:: QuantileDeltaMappingCorrection
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~QuantileDeltaMappingCorrection.compare_dists
+      ~QuantileDeltaMappingCorrection.fill_and_smooth
+      ~QuantileDeltaMappingCorrection.get_base_data
+      ~QuantileDeltaMappingCorrection.get_base_gid
+      ~QuantileDeltaMappingCorrection.get_bias_data
+      ~QuantileDeltaMappingCorrection.get_bias_gid
+      ~QuantileDeltaMappingCorrection.get_data_pair
+      ~QuantileDeltaMappingCorrection.get_node_cmd
+      ~QuantileDeltaMappingCorrection.get_qdm_params
+      ~QuantileDeltaMappingCorrection.pre_load
+      ~QuantileDeltaMappingCorrection.run
+      ~QuantileDeltaMappingCorrection.window_mask
+      ~QuantileDeltaMappingCorrection.write_outputs
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~QuantileDeltaMappingCorrection.distance_upper_bound
+      ~QuantileDeltaMappingCorrection.meta
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.bias.qdm.rst b/_sources/_autosummary/sup3r.bias.qdm.rst
new file mode 100644
index 000000000..df73caae3
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.qdm.rst
@@ -0,0 +1,31 @@
+sup3r.bias.qdm
+==============
+
+.. automodule:: sup3r.bias.qdm
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      QuantileDeltaMappingCorrection
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.bias.rst b/_sources/_autosummary/sup3r.bias.rst
new file mode 100644
index 000000000..74105c6ac
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.rst
@@ -0,0 +1,38 @@
+sup3r.bias
+==========
+
+.. automodule:: sup3r.bias
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
+.. autosummary::
+   :toctree:
+   :template: custom-module-template.rst
+   :recursive:
+
+   base
+   bias_calc
+   bias_calc_cli
+   bias_calc_vortex
+   bias_transforms
+   mixins
+   presrat
+   qdm
+   utilities
+
diff --git a/_sources/_autosummary/sup3r.bias.utilities.bias_correct_feature.rst b/_sources/_autosummary/sup3r.bias.utilities.bias_correct_feature.rst
new file mode 100644
index 000000000..3d5a207e2
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.utilities.bias_correct_feature.rst
@@ -0,0 +1,6 @@
+sup3r.bias.utilities.bias\_correct\_feature
+===========================================
+
+.. currentmodule:: sup3r.bias.utilities
+
+.. autofunction:: bias_correct_feature
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.bias.utilities.bias_correct_features.rst b/_sources/_autosummary/sup3r.bias.utilities.bias_correct_features.rst
new file mode 100644
index 000000000..670e16836
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.utilities.bias_correct_features.rst
@@ -0,0 +1,6 @@
+sup3r.bias.utilities.bias\_correct\_features
+============================================
+
+.. currentmodule:: sup3r.bias.utilities
+
+.. autofunction:: bias_correct_features
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.bias.utilities.lin_bc.rst b/_sources/_autosummary/sup3r.bias.utilities.lin_bc.rst
new file mode 100644
index 000000000..12a26cc8f
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.utilities.lin_bc.rst
@@ -0,0 +1,6 @@
+sup3r.bias.utilities.lin\_bc
+============================
+
+.. currentmodule:: sup3r.bias.utilities
+
+.. autofunction:: lin_bc
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.bias.utilities.qdm_bc.rst b/_sources/_autosummary/sup3r.bias.utilities.qdm_bc.rst
new file mode 100644
index 000000000..50e736a55
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.utilities.qdm_bc.rst
@@ -0,0 +1,6 @@
+sup3r.bias.utilities.qdm\_bc
+============================
+
+.. currentmodule:: sup3r.bias.utilities
+
+.. autofunction:: qdm_bc
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.bias.utilities.rst b/_sources/_autosummary/sup3r.bias.utilities.rst
new file mode 100644
index 000000000..96e470987
--- /dev/null
+++ b/_sources/_autosummary/sup3r.bias.utilities.rst
@@ -0,0 +1,33 @@
+sup3r.bias.utilities
+====================
+
+.. automodule:: sup3r.bias.utilities
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+      :toctree:
+   
+      bias_correct_feature
+      bias_correct_features
+      lin_bc
+      qdm_bc
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.cli.rst b/_sources/_autosummary/sup3r.cli.rst
new file mode 100644
index 000000000..98699854e
--- /dev/null
+++ b/_sources/_autosummary/sup3r.cli.rst
@@ -0,0 +1,23 @@
+sup3r.cli
+=========
+
+.. automodule:: sup3r.cli
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.models.abstract.AbstractInterface.rst b/_sources/_autosummary/sup3r.models.abstract.AbstractInterface.rst
new file mode 100644
index 000000000..d4181851e
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.abstract.AbstractInterface.rst
@@ -0,0 +1,52 @@
+sup3r.models.abstract.AbstractInterface
+=======================================
+
+.. currentmodule:: sup3r.models.abstract
+
+.. autoclass:: AbstractInterface
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~AbstractInterface.generate
+      ~AbstractInterface.get_s_enhance_from_layers
+      ~AbstractInterface.get_t_enhance_from_layers
+      ~AbstractInterface.load
+      ~AbstractInterface.save_params
+      ~AbstractInterface.seed
+      ~AbstractInterface.set_model_params
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~AbstractInterface.hr_exo_features
+      ~AbstractInterface.hr_out_features
+      ~AbstractInterface.input_dims
+      ~AbstractInterface.input_resolution
+      ~AbstractInterface.is_4d
+      ~AbstractInterface.is_5d
+      ~AbstractInterface.lr_features
+      ~AbstractInterface.meta
+      ~AbstractInterface.model_params
+      ~AbstractInterface.output_resolution
+      ~AbstractInterface.s_enhance
+      ~AbstractInterface.s_enhancements
+      ~AbstractInterface.smoothed_features
+      ~AbstractInterface.smoothing
+      ~AbstractInterface.t_enhance
+      ~AbstractInterface.t_enhancements
+      ~AbstractInterface.version_record
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.models.abstract.AbstractSingleModel.rst b/_sources/_autosummary/sup3r.models.abstract.AbstractSingleModel.rst
new file mode 100644
index 000000000..bad6166b8
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.abstract.AbstractSingleModel.rst
@@ -0,0 +1,55 @@
+sup3r.models.abstract.AbstractSingleModel
+=========================================
+
+.. currentmodule:: sup3r.models.abstract
+
+.. autoclass:: AbstractSingleModel
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~AbstractSingleModel.dict_to_tensorboard
+      ~AbstractSingleModel.early_stop
+      ~AbstractSingleModel.finish_epoch
+      ~AbstractSingleModel.generate
+      ~AbstractSingleModel.get_high_res_exo_input
+      ~AbstractSingleModel.get_loss_fun
+      ~AbstractSingleModel.get_optimizer_config
+      ~AbstractSingleModel.get_optimizer_state
+      ~AbstractSingleModel.get_single_grad
+      ~AbstractSingleModel.init_optimizer
+      ~AbstractSingleModel.load_network
+      ~AbstractSingleModel.load_saved_params
+      ~AbstractSingleModel.log_loss_details
+      ~AbstractSingleModel.norm_input
+      ~AbstractSingleModel.profile_to_tensorboard
+      ~AbstractSingleModel.run_gradient_descent
+      ~AbstractSingleModel.save
+      ~AbstractSingleModel.set_norm_stats
+      ~AbstractSingleModel.un_norm_output
+      ~AbstractSingleModel.update_loss_details
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~AbstractSingleModel.generator
+      ~AbstractSingleModel.generator_weights
+      ~AbstractSingleModel.history
+      ~AbstractSingleModel.means
+      ~AbstractSingleModel.optimizer
+      ~AbstractSingleModel.stdevs
+      ~AbstractSingleModel.total_batches
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.models.abstract.TensorboardMixIn.rst b/_sources/_autosummary/sup3r.models.abstract.TensorboardMixIn.rst
new file mode 100644
index 000000000..40ace2647
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.abstract.TensorboardMixIn.rst
@@ -0,0 +1,31 @@
+sup3r.models.abstract.TensorboardMixIn
+======================================
+
+.. currentmodule:: sup3r.models.abstract
+
+.. autoclass:: TensorboardMixIn
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~TensorboardMixIn.dict_to_tensorboard
+      ~TensorboardMixIn.profile_to_tensorboard
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~TensorboardMixIn.total_batches
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.models.abstract.rst b/_sources/_autosummary/sup3r.models.abstract.rst
new file mode 100644
index 000000000..3b1d4a168
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.abstract.rst
@@ -0,0 +1,33 @@
+sup3r.models.abstract
+=====================
+
+.. automodule:: sup3r.models.abstract
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      AbstractInterface
+      AbstractSingleModel
+      TensorboardMixIn
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.models.base.Sup3rGan.rst b/_sources/_autosummary/sup3r.models.base.Sup3rGan.rst
new file mode 100644
index 000000000..713f70790
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.base.Sup3rGan.rst
@@ -0,0 +1,95 @@
+sup3r.models.base.Sup3rGan
+==========================
+
+.. currentmodule:: sup3r.models.base
+
+.. autoclass:: Sup3rGan
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~Sup3rGan.calc_loss
+      ~Sup3rGan.calc_loss_disc
+      ~Sup3rGan.calc_loss_gen_advers
+      ~Sup3rGan.calc_loss_gen_content
+      ~Sup3rGan.calc_val_loss
+      ~Sup3rGan.check_batch_handler_attrs
+      ~Sup3rGan.dict_to_tensorboard
+      ~Sup3rGan.discriminate
+      ~Sup3rGan.early_stop
+      ~Sup3rGan.finish_epoch
+      ~Sup3rGan.generate
+      ~Sup3rGan.get_high_res_exo_input
+      ~Sup3rGan.get_loss_fun
+      ~Sup3rGan.get_optimizer_config
+      ~Sup3rGan.get_optimizer_state
+      ~Sup3rGan.get_s_enhance_from_layers
+      ~Sup3rGan.get_single_grad
+      ~Sup3rGan.get_t_enhance_from_layers
+      ~Sup3rGan.get_weight_update_fraction
+      ~Sup3rGan.init_optimizer
+      ~Sup3rGan.init_weights
+      ~Sup3rGan.load
+      ~Sup3rGan.load_network
+      ~Sup3rGan.load_saved_params
+      ~Sup3rGan.log_loss_details
+      ~Sup3rGan.norm_input
+      ~Sup3rGan.profile_to_tensorboard
+      ~Sup3rGan.run_gradient_descent
+      ~Sup3rGan.save
+      ~Sup3rGan.save_params
+      ~Sup3rGan.seed
+      ~Sup3rGan.set_model_params
+      ~Sup3rGan.set_norm_stats
+      ~Sup3rGan.train
+      ~Sup3rGan.train_epoch
+      ~Sup3rGan.un_norm_output
+      ~Sup3rGan.update_adversarial_weights
+      ~Sup3rGan.update_loss_details
+      ~Sup3rGan.update_optimizer
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~Sup3rGan.discriminator
+      ~Sup3rGan.discriminator_weights
+      ~Sup3rGan.generator
+      ~Sup3rGan.generator_weights
+      ~Sup3rGan.history
+      ~Sup3rGan.hr_exo_features
+      ~Sup3rGan.hr_out_features
+      ~Sup3rGan.input_dims
+      ~Sup3rGan.input_resolution
+      ~Sup3rGan.is_4d
+      ~Sup3rGan.is_5d
+      ~Sup3rGan.lr_features
+      ~Sup3rGan.means
+      ~Sup3rGan.meta
+      ~Sup3rGan.model_params
+      ~Sup3rGan.optimizer
+      ~Sup3rGan.optimizer_disc
+      ~Sup3rGan.output_resolution
+      ~Sup3rGan.s_enhance
+      ~Sup3rGan.s_enhancements
+      ~Sup3rGan.smoothed_features
+      ~Sup3rGan.smoothing
+      ~Sup3rGan.stdevs
+      ~Sup3rGan.t_enhance
+      ~Sup3rGan.t_enhancements
+      ~Sup3rGan.total_batches
+      ~Sup3rGan.version_record
+      ~Sup3rGan.weights
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.models.base.rst b/_sources/_autosummary/sup3r.models.base.rst
new file mode 100644
index 000000000..6679976ae
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.base.rst
@@ -0,0 +1,31 @@
+sup3r.models.base
+=================
+
+.. automodule:: sup3r.models.base
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      Sup3rGan
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.models.conditional.Sup3rCondMom.rst b/_sources/_autosummary/sup3r.models.conditional.Sup3rCondMom.rst
new file mode 100644
index 000000000..ea5697211
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.conditional.Sup3rCondMom.rst
@@ -0,0 +1,85 @@
+sup3r.models.conditional.Sup3rCondMom
+=====================================
+
+.. currentmodule:: sup3r.models.conditional
+
+.. autoclass:: Sup3rCondMom
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~Sup3rCondMom.calc_loss
+      ~Sup3rCondMom.calc_loss_cond_mom
+      ~Sup3rCondMom.calc_val_loss
+      ~Sup3rCondMom.dict_to_tensorboard
+      ~Sup3rCondMom.early_stop
+      ~Sup3rCondMom.finish_epoch
+      ~Sup3rCondMom.generate
+      ~Sup3rCondMom.get_high_res_exo_input
+      ~Sup3rCondMom.get_loss_fun
+      ~Sup3rCondMom.get_optimizer_config
+      ~Sup3rCondMom.get_optimizer_state
+      ~Sup3rCondMom.get_s_enhance_from_layers
+      ~Sup3rCondMom.get_single_grad
+      ~Sup3rCondMom.get_t_enhance_from_layers
+      ~Sup3rCondMom.init_optimizer
+      ~Sup3rCondMom.load
+      ~Sup3rCondMom.load_network
+      ~Sup3rCondMom.load_saved_params
+      ~Sup3rCondMom.log_loss_details
+      ~Sup3rCondMom.norm_input
+      ~Sup3rCondMom.profile_to_tensorboard
+      ~Sup3rCondMom.run_gradient_descent
+      ~Sup3rCondMom.save
+      ~Sup3rCondMom.save_params
+      ~Sup3rCondMom.seed
+      ~Sup3rCondMom.set_model_params
+      ~Sup3rCondMom.set_norm_stats
+      ~Sup3rCondMom.train
+      ~Sup3rCondMom.train_epoch
+      ~Sup3rCondMom.un_norm_output
+      ~Sup3rCondMom.update_loss_details
+      ~Sup3rCondMom.update_optimizer
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~Sup3rCondMom.generator
+      ~Sup3rCondMom.generator_weights
+      ~Sup3rCondMom.history
+      ~Sup3rCondMom.hr_exo_features
+      ~Sup3rCondMom.hr_out_features
+      ~Sup3rCondMom.input_dims
+      ~Sup3rCondMom.input_resolution
+      ~Sup3rCondMom.is_4d
+      ~Sup3rCondMom.is_5d
+      ~Sup3rCondMom.lr_features
+      ~Sup3rCondMom.means
+      ~Sup3rCondMom.meta
+      ~Sup3rCondMom.model_params
+      ~Sup3rCondMom.optimizer
+      ~Sup3rCondMom.output_resolution
+      ~Sup3rCondMom.s_enhance
+      ~Sup3rCondMom.s_enhancements
+      ~Sup3rCondMom.smoothed_features
+      ~Sup3rCondMom.smoothing
+      ~Sup3rCondMom.stdevs
+      ~Sup3rCondMom.t_enhance
+      ~Sup3rCondMom.t_enhancements
+      ~Sup3rCondMom.total_batches
+      ~Sup3rCondMom.version_record
+      ~Sup3rCondMom.weights
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.models.conditional.rst b/_sources/_autosummary/sup3r.models.conditional.rst
new file mode 100644
index 000000000..793e790bf
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.conditional.rst
@@ -0,0 +1,31 @@
+sup3r.models.conditional
+========================
+
+.. automodule:: sup3r.models.conditional
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      Sup3rCondMom
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.models.dc.Sup3rGanDC.rst b/_sources/_autosummary/sup3r.models.dc.Sup3rGanDC.rst
new file mode 100644
index 000000000..f1d2087d8
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.dc.Sup3rGanDC.rst
@@ -0,0 +1,97 @@
+sup3r.models.dc.Sup3rGanDC
+==========================
+
+.. currentmodule:: sup3r.models.dc
+
+.. autoclass:: Sup3rGanDC
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~Sup3rGanDC.calc_loss
+      ~Sup3rGanDC.calc_loss_disc
+      ~Sup3rGanDC.calc_loss_gen_advers
+      ~Sup3rGanDC.calc_loss_gen_content
+      ~Sup3rGanDC.calc_val_loss
+      ~Sup3rGanDC.calc_val_loss_gen
+      ~Sup3rGanDC.calc_val_loss_gen_content
+      ~Sup3rGanDC.check_batch_handler_attrs
+      ~Sup3rGanDC.dict_to_tensorboard
+      ~Sup3rGanDC.discriminate
+      ~Sup3rGanDC.early_stop
+      ~Sup3rGanDC.finish_epoch
+      ~Sup3rGanDC.generate
+      ~Sup3rGanDC.get_high_res_exo_input
+      ~Sup3rGanDC.get_loss_fun
+      ~Sup3rGanDC.get_optimizer_config
+      ~Sup3rGanDC.get_optimizer_state
+      ~Sup3rGanDC.get_s_enhance_from_layers
+      ~Sup3rGanDC.get_single_grad
+      ~Sup3rGanDC.get_t_enhance_from_layers
+      ~Sup3rGanDC.get_weight_update_fraction
+      ~Sup3rGanDC.init_optimizer
+      ~Sup3rGanDC.init_weights
+      ~Sup3rGanDC.load
+      ~Sup3rGanDC.load_network
+      ~Sup3rGanDC.load_saved_params
+      ~Sup3rGanDC.log_loss_details
+      ~Sup3rGanDC.norm_input
+      ~Sup3rGanDC.profile_to_tensorboard
+      ~Sup3rGanDC.run_gradient_descent
+      ~Sup3rGanDC.save
+      ~Sup3rGanDC.save_params
+      ~Sup3rGanDC.seed
+      ~Sup3rGanDC.set_model_params
+      ~Sup3rGanDC.set_norm_stats
+      ~Sup3rGanDC.train
+      ~Sup3rGanDC.train_epoch
+      ~Sup3rGanDC.un_norm_output
+      ~Sup3rGanDC.update_adversarial_weights
+      ~Sup3rGanDC.update_loss_details
+      ~Sup3rGanDC.update_optimizer
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~Sup3rGanDC.discriminator
+      ~Sup3rGanDC.discriminator_weights
+      ~Sup3rGanDC.generator
+      ~Sup3rGanDC.generator_weights
+      ~Sup3rGanDC.history
+      ~Sup3rGanDC.hr_exo_features
+      ~Sup3rGanDC.hr_out_features
+      ~Sup3rGanDC.input_dims
+      ~Sup3rGanDC.input_resolution
+      ~Sup3rGanDC.is_4d
+      ~Sup3rGanDC.is_5d
+      ~Sup3rGanDC.lr_features
+      ~Sup3rGanDC.means
+      ~Sup3rGanDC.meta
+      ~Sup3rGanDC.model_params
+      ~Sup3rGanDC.optimizer
+      ~Sup3rGanDC.optimizer_disc
+      ~Sup3rGanDC.output_resolution
+      ~Sup3rGanDC.s_enhance
+      ~Sup3rGanDC.s_enhancements
+      ~Sup3rGanDC.smoothed_features
+      ~Sup3rGanDC.smoothing
+      ~Sup3rGanDC.stdevs
+      ~Sup3rGanDC.t_enhance
+      ~Sup3rGanDC.t_enhancements
+      ~Sup3rGanDC.total_batches
+      ~Sup3rGanDC.version_record
+      ~Sup3rGanDC.weights
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.models.dc.rst b/_sources/_autosummary/sup3r.models.dc.rst
new file mode 100644
index 000000000..ebbcb7114
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.dc.rst
@@ -0,0 +1,31 @@
+sup3r.models.dc
+===============
+
+.. automodule:: sup3r.models.dc
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      Sup3rGanDC
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.models.linear.LinearInterp.rst b/_sources/_autosummary/sup3r.models.linear.LinearInterp.rst
new file mode 100644
index 000000000..da57c2027
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.linear.LinearInterp.rst
@@ -0,0 +1,53 @@
+sup3r.models.linear.LinearInterp
+================================
+
+.. currentmodule:: sup3r.models.linear
+
+.. autoclass:: LinearInterp
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~LinearInterp.generate
+      ~LinearInterp.get_s_enhance_from_layers
+      ~LinearInterp.get_t_enhance_from_layers
+      ~LinearInterp.load
+      ~LinearInterp.save
+      ~LinearInterp.save_params
+      ~LinearInterp.seed
+      ~LinearInterp.set_model_params
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~LinearInterp.hr_exo_features
+      ~LinearInterp.hr_out_features
+      ~LinearInterp.input_dims
+      ~LinearInterp.input_resolution
+      ~LinearInterp.is_4d
+      ~LinearInterp.is_5d
+      ~LinearInterp.lr_features
+      ~LinearInterp.meta
+      ~LinearInterp.model_params
+      ~LinearInterp.output_resolution
+      ~LinearInterp.s_enhance
+      ~LinearInterp.s_enhancements
+      ~LinearInterp.smoothed_features
+      ~LinearInterp.smoothing
+      ~LinearInterp.t_enhance
+      ~LinearInterp.t_enhancements
+      ~LinearInterp.version_record
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.models.linear.rst b/_sources/_autosummary/sup3r.models.linear.rst
new file mode 100644
index 000000000..b352ecd45
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.linear.rst
@@ -0,0 +1,31 @@
+sup3r.models.linear
+===================
+
+.. automodule:: sup3r.models.linear
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      LinearInterp
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.models.multi_step.MultiStepGan.rst b/_sources/_autosummary/sup3r.models.multi_step.MultiStepGan.rst
new file mode 100644
index 000000000..253c3385f
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.multi_step.MultiStepGan.rst
@@ -0,0 +1,55 @@
+sup3r.models.multi\_step.MultiStepGan
+=====================================
+
+.. currentmodule:: sup3r.models.multi_step
+
+.. autoclass:: MultiStepGan
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~MultiStepGan.generate
+      ~MultiStepGan.get_s_enhance_from_layers
+      ~MultiStepGan.get_t_enhance_from_layers
+      ~MultiStepGan.load
+      ~MultiStepGan.save_params
+      ~MultiStepGan.seed
+      ~MultiStepGan.set_model_params
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~MultiStepGan.hr_exo_features
+      ~MultiStepGan.hr_out_features
+      ~MultiStepGan.input_dims
+      ~MultiStepGan.input_resolution
+      ~MultiStepGan.is_4d
+      ~MultiStepGan.is_5d
+      ~MultiStepGan.lr_features
+      ~MultiStepGan.means
+      ~MultiStepGan.meta
+      ~MultiStepGan.model_params
+      ~MultiStepGan.models
+      ~MultiStepGan.output_resolution
+      ~MultiStepGan.s_enhance
+      ~MultiStepGan.s_enhancements
+      ~MultiStepGan.smoothed_features
+      ~MultiStepGan.smoothing
+      ~MultiStepGan.stdevs
+      ~MultiStepGan.t_enhance
+      ~MultiStepGan.t_enhancements
+      ~MultiStepGan.version_record
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.rst b/_sources/_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.rst
new file mode 100644
index 000000000..fc7fa6feb
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.rst
@@ -0,0 +1,55 @@
+sup3r.models.multi\_step.MultiStepSurfaceMetGan
+===============================================
+
+.. currentmodule:: sup3r.models.multi_step
+
+.. autoclass:: MultiStepSurfaceMetGan
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~MultiStepSurfaceMetGan.generate
+      ~MultiStepSurfaceMetGan.get_s_enhance_from_layers
+      ~MultiStepSurfaceMetGan.get_t_enhance_from_layers
+      ~MultiStepSurfaceMetGan.load
+      ~MultiStepSurfaceMetGan.save_params
+      ~MultiStepSurfaceMetGan.seed
+      ~MultiStepSurfaceMetGan.set_model_params
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~MultiStepSurfaceMetGan.hr_exo_features
+      ~MultiStepSurfaceMetGan.hr_out_features
+      ~MultiStepSurfaceMetGan.input_dims
+      ~MultiStepSurfaceMetGan.input_resolution
+      ~MultiStepSurfaceMetGan.is_4d
+      ~MultiStepSurfaceMetGan.is_5d
+      ~MultiStepSurfaceMetGan.lr_features
+      ~MultiStepSurfaceMetGan.means
+      ~MultiStepSurfaceMetGan.meta
+      ~MultiStepSurfaceMetGan.model_params
+      ~MultiStepSurfaceMetGan.models
+      ~MultiStepSurfaceMetGan.output_resolution
+      ~MultiStepSurfaceMetGan.s_enhance
+      ~MultiStepSurfaceMetGan.s_enhancements
+      ~MultiStepSurfaceMetGan.smoothed_features
+      ~MultiStepSurfaceMetGan.smoothing
+      ~MultiStepSurfaceMetGan.stdevs
+      ~MultiStepSurfaceMetGan.t_enhance
+      ~MultiStepSurfaceMetGan.t_enhancements
+      ~MultiStepSurfaceMetGan.version_record
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.models.multi_step.SolarMultiStepGan.rst b/_sources/_autosummary/sup3r.models.multi_step.SolarMultiStepGan.rst
new file mode 100644
index 000000000..be7623647
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.multi_step.SolarMultiStepGan.rst
@@ -0,0 +1,63 @@
+sup3r.models.multi\_step.SolarMultiStepGan
+==========================================
+
+.. currentmodule:: sup3r.models.multi_step
+
+.. autoclass:: SolarMultiStepGan
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~SolarMultiStepGan.generate
+      ~SolarMultiStepGan.get_s_enhance_from_layers
+      ~SolarMultiStepGan.get_t_enhance_from_layers
+      ~SolarMultiStepGan.load
+      ~SolarMultiStepGan.preflight
+      ~SolarMultiStepGan.save_params
+      ~SolarMultiStepGan.seed
+      ~SolarMultiStepGan.set_model_params
+      ~SolarMultiStepGan.temporal_pad
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~SolarMultiStepGan.hr_exo_features
+      ~SolarMultiStepGan.hr_out_features
+      ~SolarMultiStepGan.idf_solar
+      ~SolarMultiStepGan.idf_wind
+      ~SolarMultiStepGan.idf_wind_out
+      ~SolarMultiStepGan.input_dims
+      ~SolarMultiStepGan.input_resolution
+      ~SolarMultiStepGan.is_4d
+      ~SolarMultiStepGan.is_5d
+      ~SolarMultiStepGan.lr_features
+      ~SolarMultiStepGan.means
+      ~SolarMultiStepGan.meta
+      ~SolarMultiStepGan.model_params
+      ~SolarMultiStepGan.models
+      ~SolarMultiStepGan.output_resolution
+      ~SolarMultiStepGan.s_enhance
+      ~SolarMultiStepGan.s_enhancements
+      ~SolarMultiStepGan.smoothed_features
+      ~SolarMultiStepGan.smoothing
+      ~SolarMultiStepGan.spatial_solar_models
+      ~SolarMultiStepGan.spatial_wind_models
+      ~SolarMultiStepGan.stdevs
+      ~SolarMultiStepGan.t_enhance
+      ~SolarMultiStepGan.t_enhancements
+      ~SolarMultiStepGan.temporal_solar_models
+      ~SolarMultiStepGan.version_record
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.models.multi_step.rst b/_sources/_autosummary/sup3r.models.multi_step.rst
new file mode 100644
index 000000000..daea49ebd
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.multi_step.rst
@@ -0,0 +1,33 @@
+sup3r.models.multi\_step
+========================
+
+.. automodule:: sup3r.models.multi_step
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      MultiStepGan
+      MultiStepSurfaceMetGan
+      SolarMultiStepGan
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.models.rst b/_sources/_autosummary/sup3r.models.rst
new file mode 100644
index 000000000..2e5db312c
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.rst
@@ -0,0 +1,38 @@
+sup3r.models
+============
+
+.. automodule:: sup3r.models
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
+.. autosummary::
+   :toctree:
+   :template: custom-module-template.rst
+   :recursive:
+
+   abstract
+   base
+   conditional
+   dc
+   linear
+   multi_step
+   solar_cc
+   surface
+   utilities
+
diff --git a/_sources/_autosummary/sup3r.models.solar_cc.SolarCC.rst b/_sources/_autosummary/sup3r.models.solar_cc.SolarCC.rst
new file mode 100644
index 000000000..f79b4d198
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.solar_cc.SolarCC.rst
@@ -0,0 +1,99 @@
+sup3r.models.solar\_cc.SolarCC
+==============================
+
+.. currentmodule:: sup3r.models.solar_cc
+
+.. autoclass:: SolarCC
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~SolarCC.calc_loss
+      ~SolarCC.calc_loss_disc
+      ~SolarCC.calc_loss_gen_advers
+      ~SolarCC.calc_loss_gen_content
+      ~SolarCC.calc_val_loss
+      ~SolarCC.check_batch_handler_attrs
+      ~SolarCC.dict_to_tensorboard
+      ~SolarCC.discriminate
+      ~SolarCC.early_stop
+      ~SolarCC.finish_epoch
+      ~SolarCC.generate
+      ~SolarCC.get_high_res_exo_input
+      ~SolarCC.get_loss_fun
+      ~SolarCC.get_optimizer_config
+      ~SolarCC.get_optimizer_state
+      ~SolarCC.get_s_enhance_from_layers
+      ~SolarCC.get_single_grad
+      ~SolarCC.get_t_enhance_from_layers
+      ~SolarCC.get_weight_update_fraction
+      ~SolarCC.init_optimizer
+      ~SolarCC.init_weights
+      ~SolarCC.load
+      ~SolarCC.load_network
+      ~SolarCC.load_saved_params
+      ~SolarCC.log_loss_details
+      ~SolarCC.norm_input
+      ~SolarCC.profile_to_tensorboard
+      ~SolarCC.run_gradient_descent
+      ~SolarCC.save
+      ~SolarCC.save_params
+      ~SolarCC.seed
+      ~SolarCC.set_model_params
+      ~SolarCC.set_norm_stats
+      ~SolarCC.temporal_pad
+      ~SolarCC.train
+      ~SolarCC.train_epoch
+      ~SolarCC.un_norm_output
+      ~SolarCC.update_adversarial_weights
+      ~SolarCC.update_loss_details
+      ~SolarCC.update_optimizer
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~SolarCC.DAYLIGHT_HOURS
+      ~SolarCC.STARTING_HOUR
+      ~SolarCC.STRIDE_LEN
+      ~SolarCC.discriminator
+      ~SolarCC.discriminator_weights
+      ~SolarCC.generator
+      ~SolarCC.generator_weights
+      ~SolarCC.history
+      ~SolarCC.hr_exo_features
+      ~SolarCC.hr_out_features
+      ~SolarCC.input_dims
+      ~SolarCC.input_resolution
+      ~SolarCC.is_4d
+      ~SolarCC.is_5d
+      ~SolarCC.lr_features
+      ~SolarCC.means
+      ~SolarCC.meta
+      ~SolarCC.model_params
+      ~SolarCC.optimizer
+      ~SolarCC.optimizer_disc
+      ~SolarCC.output_resolution
+      ~SolarCC.s_enhance
+      ~SolarCC.s_enhancements
+      ~SolarCC.smoothed_features
+      ~SolarCC.smoothing
+      ~SolarCC.stdevs
+      ~SolarCC.t_enhance
+      ~SolarCC.t_enhancements
+      ~SolarCC.total_batches
+      ~SolarCC.version_record
+      ~SolarCC.weights
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.models.solar_cc.rst b/_sources/_autosummary/sup3r.models.solar_cc.rst
new file mode 100644
index 000000000..445aa390a
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.solar_cc.rst
@@ -0,0 +1,31 @@
+sup3r.models.solar\_cc
+======================
+
+.. automodule:: sup3r.models.solar_cc
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      SolarCC
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.rst b/_sources/_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.rst
new file mode 100644
index 000000000..bf6ce371b
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.rst
@@ -0,0 +1,68 @@
+sup3r.models.surface.SurfaceSpatialMetModel
+===========================================
+
+.. currentmodule:: sup3r.models.surface
+
+.. autoclass:: SurfaceSpatialMetModel
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~SurfaceSpatialMetModel.downscale_arr
+      ~SurfaceSpatialMetModel.downscale_pres
+      ~SurfaceSpatialMetModel.downscale_rh
+      ~SurfaceSpatialMetModel.downscale_temp
+      ~SurfaceSpatialMetModel.fix_downscaled_bias
+      ~SurfaceSpatialMetModel.generate
+      ~SurfaceSpatialMetModel.get_s_enhance_from_layers
+      ~SurfaceSpatialMetModel.get_t_enhance_from_layers
+      ~SurfaceSpatialMetModel.load
+      ~SurfaceSpatialMetModel.save
+      ~SurfaceSpatialMetModel.save_params
+      ~SurfaceSpatialMetModel.seed
+      ~SurfaceSpatialMetModel.set_model_params
+      ~SurfaceSpatialMetModel.train
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~SurfaceSpatialMetModel.PRES_DIV
+      ~SurfaceSpatialMetModel.PRES_EXP
+      ~SurfaceSpatialMetModel.TEMP_LAPSE
+      ~SurfaceSpatialMetModel.W_DELTA_TEMP
+      ~SurfaceSpatialMetModel.W_DELTA_TOPO
+      ~SurfaceSpatialMetModel.feature_inds_other
+      ~SurfaceSpatialMetModel.feature_inds_pres
+      ~SurfaceSpatialMetModel.feature_inds_rh
+      ~SurfaceSpatialMetModel.feature_inds_temp
+      ~SurfaceSpatialMetModel.hr_exo_features
+      ~SurfaceSpatialMetModel.hr_out_features
+      ~SurfaceSpatialMetModel.input_dims
+      ~SurfaceSpatialMetModel.input_resolution
+      ~SurfaceSpatialMetModel.is_4d
+      ~SurfaceSpatialMetModel.is_5d
+      ~SurfaceSpatialMetModel.lr_features
+      ~SurfaceSpatialMetModel.meta
+      ~SurfaceSpatialMetModel.model_params
+      ~SurfaceSpatialMetModel.output_resolution
+      ~SurfaceSpatialMetModel.s_enhance
+      ~SurfaceSpatialMetModel.s_enhancements
+      ~SurfaceSpatialMetModel.smoothed_features
+      ~SurfaceSpatialMetModel.smoothing
+      ~SurfaceSpatialMetModel.t_enhance
+      ~SurfaceSpatialMetModel.t_enhancements
+      ~SurfaceSpatialMetModel.version_record
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.models.surface.rst b/_sources/_autosummary/sup3r.models.surface.rst
new file mode 100644
index 000000000..d578f3579
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.surface.rst
@@ -0,0 +1,31 @@
+sup3r.models.surface
+====================
+
+.. automodule:: sup3r.models.surface
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      SurfaceSpatialMetModel
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.models.utilities.TrainingSession.rst b/_sources/_autosummary/sup3r.models.utilities.TrainingSession.rst
new file mode 100644
index 000000000..abe8dd705
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.utilities.TrainingSession.rst
@@ -0,0 +1,24 @@
+sup3r.models.utilities.TrainingSession
+======================================
+
+.. currentmodule:: sup3r.models.utilities
+
+.. autoclass:: TrainingSession
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~TrainingSession.run
+   
+   
+
+   
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.models.utilities.get_optimizer_class.rst b/_sources/_autosummary/sup3r.models.utilities.get_optimizer_class.rst
new file mode 100644
index 000000000..67f56ec3d
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.utilities.get_optimizer_class.rst
@@ -0,0 +1,6 @@
+sup3r.models.utilities.get\_optimizer\_class
+============================================
+
+.. currentmodule:: sup3r.models.utilities
+
+.. autofunction:: get_optimizer_class
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.models.utilities.rst b/_sources/_autosummary/sup3r.models.utilities.rst
new file mode 100644
index 000000000..1ce328fa7
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.utilities.rst
@@ -0,0 +1,39 @@
+sup3r.models.utilities
+======================
+
+.. automodule:: sup3r.models.utilities
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+      :toctree:
+   
+      get_optimizer_class
+      st_interp
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      TrainingSession
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.models.utilities.st_interp.rst b/_sources/_autosummary/sup3r.models.utilities.st_interp.rst
new file mode 100644
index 000000000..518306f06
--- /dev/null
+++ b/_sources/_autosummary/sup3r.models.utilities.st_interp.rst
@@ -0,0 +1,6 @@
+sup3r.models.utilities.st\_interp
+=================================
+
+.. currentmodule:: sup3r.models.utilities
+
+.. autofunction:: st_interp
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.pipeline.forward_pass.ForwardPass.rst b/_sources/_autosummary/sup3r.pipeline.forward_pass.ForwardPass.rst
new file mode 100644
index 000000000..2c607597b
--- /dev/null
+++ b/_sources/_autosummary/sup3r.pipeline.forward_pass.ForwardPass.rst
@@ -0,0 +1,36 @@
+sup3r.pipeline.forward\_pass.ForwardPass
+========================================
+
+.. currentmodule:: sup3r.pipeline.forward_pass
+
+.. autoclass:: ForwardPass
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~ForwardPass.get_input_chunk
+      ~ForwardPass.get_node_cmd
+      ~ForwardPass.pad_source_data
+      ~ForwardPass.run
+      ~ForwardPass.run_chunk
+      ~ForwardPass.run_generator
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~ForwardPass.OUTPUT_HANDLER_CLASS
+      ~ForwardPass.meta
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.pipeline.forward_pass.rst b/_sources/_autosummary/sup3r.pipeline.forward_pass.rst
new file mode 100644
index 000000000..d433da0e7
--- /dev/null
+++ b/_sources/_autosummary/sup3r.pipeline.forward_pass.rst
@@ -0,0 +1,31 @@
+sup3r.pipeline.forward\_pass
+============================
+
+.. automodule:: sup3r.pipeline.forward_pass
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      ForwardPass
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.pipeline.forward_pass_cli.kickoff_local_job.rst b/_sources/_autosummary/sup3r.pipeline.forward_pass_cli.kickoff_local_job.rst
new file mode 100644
index 000000000..82588fc5a
--- /dev/null
+++ b/_sources/_autosummary/sup3r.pipeline.forward_pass_cli.kickoff_local_job.rst
@@ -0,0 +1,6 @@
+sup3r.pipeline.forward\_pass\_cli.kickoff\_local\_job
+=====================================================
+
+.. currentmodule:: sup3r.pipeline.forward_pass_cli
+
+.. autofunction:: kickoff_local_job
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.pipeline.forward_pass_cli.kickoff_slurm_job.rst b/_sources/_autosummary/sup3r.pipeline.forward_pass_cli.kickoff_slurm_job.rst
new file mode 100644
index 000000000..477be7d63
--- /dev/null
+++ b/_sources/_autosummary/sup3r.pipeline.forward_pass_cli.kickoff_slurm_job.rst
@@ -0,0 +1,6 @@
+sup3r.pipeline.forward\_pass\_cli.kickoff\_slurm\_job
+=====================================================
+
+.. currentmodule:: sup3r.pipeline.forward_pass_cli
+
+.. autofunction:: kickoff_slurm_job
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.pipeline.forward_pass_cli.rst b/_sources/_autosummary/sup3r.pipeline.forward_pass_cli.rst
new file mode 100644
index 000000000..ebb07df37
--- /dev/null
+++ b/_sources/_autosummary/sup3r.pipeline.forward_pass_cli.rst
@@ -0,0 +1,31 @@
+sup3r.pipeline.forward\_pass\_cli
+=================================
+
+.. automodule:: sup3r.pipeline.forward_pass_cli
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+      :toctree:
+   
+      kickoff_local_job
+      kickoff_slurm_job
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.pipeline.pipeline_cli.rst b/_sources/_autosummary/sup3r.pipeline.pipeline_cli.rst
new file mode 100644
index 000000000..c751f1b1d
--- /dev/null
+++ b/_sources/_autosummary/sup3r.pipeline.pipeline_cli.rst
@@ -0,0 +1,23 @@
+sup3r.pipeline.pipeline\_cli
+============================
+
+.. automodule:: sup3r.pipeline.pipeline_cli
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.pipeline.rst b/_sources/_autosummary/sup3r.pipeline.rst
new file mode 100644
index 000000000..dd3ce1e18
--- /dev/null
+++ b/_sources/_autosummary/sup3r.pipeline.rst
@@ -0,0 +1,35 @@
+sup3r.pipeline
+==============
+
+.. automodule:: sup3r.pipeline
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
+.. autosummary::
+   :toctree:
+   :template: custom-module-template.rst
+   :recursive:
+
+   forward_pass
+   forward_pass_cli
+   pipeline_cli
+   slicer
+   strategy
+   utilities
+
diff --git a/_sources/_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.rst b/_sources/_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.rst
new file mode 100644
index 000000000..5c772e66a
--- /dev/null
+++ b/_sources/_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.rst
@@ -0,0 +1,62 @@
+sup3r.pipeline.slicer.ForwardPassSlicer
+=======================================
+
+.. currentmodule:: sup3r.pipeline.slicer
+
+.. autoclass:: ForwardPassSlicer
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~ForwardPassSlicer.get_cropped_slices
+      ~ForwardPassSlicer.get_hr_slices
+      ~ForwardPassSlicer.get_padded_slices
+      ~ForwardPassSlicer.get_spatial_slices
+      ~ForwardPassSlicer.get_time_slices
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~ForwardPassSlicer.chunk_lookup
+      ~ForwardPassSlicer.hr_crop_slices
+      ~ForwardPassSlicer.n_chunks
+      ~ForwardPassSlicer.n_spatial_chunks
+      ~ForwardPassSlicer.n_time_chunks
+      ~ForwardPassSlicer.s1_hr_slices
+      ~ForwardPassSlicer.s1_lr_pad_slices
+      ~ForwardPassSlicer.s1_lr_slices
+      ~ForwardPassSlicer.s2_hr_slices
+      ~ForwardPassSlicer.s2_lr_pad_slices
+      ~ForwardPassSlicer.s2_lr_slices
+      ~ForwardPassSlicer.s_hr_crop_slices
+      ~ForwardPassSlicer.s_hr_slices
+      ~ForwardPassSlicer.s_lr_crop_slices
+      ~ForwardPassSlicer.s_lr_pad_slices
+      ~ForwardPassSlicer.s_lr_slices
+      ~ForwardPassSlicer.spatial_chunk_lookup
+      ~ForwardPassSlicer.t_hr_crop_slices
+      ~ForwardPassSlicer.t_lr_crop_slices
+      ~ForwardPassSlicer.t_lr_pad_slices
+      ~ForwardPassSlicer.t_lr_slices
+      ~ForwardPassSlicer.coarse_shape
+      ~ForwardPassSlicer.time_steps
+      ~ForwardPassSlicer.s_enhance
+      ~ForwardPassSlicer.t_enhance
+      ~ForwardPassSlicer.time_slice
+      ~ForwardPassSlicer.temporal_pad
+      ~ForwardPassSlicer.spatial_pad
+      ~ForwardPassSlicer.chunk_shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.pipeline.slicer.rst b/_sources/_autosummary/sup3r.pipeline.slicer.rst
new file mode 100644
index 000000000..1d5ed3752
--- /dev/null
+++ b/_sources/_autosummary/sup3r.pipeline.slicer.rst
@@ -0,0 +1,31 @@
+sup3r.pipeline.slicer
+=====================
+
+.. automodule:: sup3r.pipeline.slicer
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      ForwardPassSlicer
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.pipeline.strategy.ForwardPassChunk.rst b/_sources/_autosummary/sup3r.pipeline.strategy.ForwardPassChunk.rst
new file mode 100644
index 000000000..f856a718b
--- /dev/null
+++ b/_sources/_autosummary/sup3r.pipeline.strategy.ForwardPassChunk.rst
@@ -0,0 +1,38 @@
+sup3r.pipeline.strategy.ForwardPassChunk
+========================================
+
+.. currentmodule:: sup3r.pipeline.strategy
+
+.. autoclass:: ForwardPassChunk
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~ForwardPassChunk.input_data
+      ~ForwardPassChunk.exo_data
+      ~ForwardPassChunk.hr_crop_slice
+      ~ForwardPassChunk.lr_pad_slice
+      ~ForwardPassChunk.hr_lat_lon
+      ~ForwardPassChunk.hr_times
+      ~ForwardPassChunk.gids
+      ~ForwardPassChunk.out_file
+      ~ForwardPassChunk.pad_width
+      ~ForwardPassChunk.index
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.rst b/_sources/_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.rst
new file mode 100644
index 000000000..06e45ee6d
--- /dev/null
+++ b/_sources/_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.rst
@@ -0,0 +1,65 @@
+sup3r.pipeline.strategy.ForwardPassStrategy
+===========================================
+
+.. currentmodule:: sup3r.pipeline.strategy
+
+.. autoclass:: ForwardPassStrategy
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~ForwardPassStrategy.chunk_finished
+      ~ForwardPassStrategy.chunk_masked
+      ~ForwardPassStrategy.get_chunk_indices
+      ~ForwardPassStrategy.get_exo_cache_files
+      ~ForwardPassStrategy.get_exo_kwargs
+      ~ForwardPassStrategy.get_pad_width
+      ~ForwardPassStrategy.init_chunk
+      ~ForwardPassStrategy.init_input_handler
+      ~ForwardPassStrategy.load_exo_data
+      ~ForwardPassStrategy.node_finished
+      ~ForwardPassStrategy.preflight
+      ~ForwardPassStrategy.prep_chunk_data
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~ForwardPassStrategy.allowed_const
+      ~ForwardPassStrategy.bias_correct_kwargs
+      ~ForwardPassStrategy.bias_correct_method
+      ~ForwardPassStrategy.exo_handler_kwargs
+      ~ForwardPassStrategy.fwp_chunk_shape
+      ~ForwardPassStrategy.fwp_mask
+      ~ForwardPassStrategy.head_node
+      ~ForwardPassStrategy.hr_lat_lon
+      ~ForwardPassStrategy.incremental
+      ~ForwardPassStrategy.input_handler_kwargs
+      ~ForwardPassStrategy.input_handler_name
+      ~ForwardPassStrategy.invert_uv
+      ~ForwardPassStrategy.max_nodes
+      ~ForwardPassStrategy.meta
+      ~ForwardPassStrategy.model_class
+      ~ForwardPassStrategy.node_chunks
+      ~ForwardPassStrategy.out_files
+      ~ForwardPassStrategy.out_pattern
+      ~ForwardPassStrategy.output_workers
+      ~ForwardPassStrategy.pass_workers
+      ~ForwardPassStrategy.spatial_pad
+      ~ForwardPassStrategy.temporal_pad
+      ~ForwardPassStrategy.unmasked_chunks
+      ~ForwardPassStrategy.file_paths
+      ~ForwardPassStrategy.model_kwargs
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.pipeline.strategy.rst b/_sources/_autosummary/sup3r.pipeline.strategy.rst
new file mode 100644
index 000000000..0fc9521b4
--- /dev/null
+++ b/_sources/_autosummary/sup3r.pipeline.strategy.rst
@@ -0,0 +1,32 @@
+sup3r.pipeline.strategy
+=======================
+
+.. automodule:: sup3r.pipeline.strategy
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      ForwardPassChunk
+      ForwardPassStrategy
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.pipeline.utilities.get_chunk_slices.rst b/_sources/_autosummary/sup3r.pipeline.utilities.get_chunk_slices.rst
new file mode 100644
index 000000000..6ca7587de
--- /dev/null
+++ b/_sources/_autosummary/sup3r.pipeline.utilities.get_chunk_slices.rst
@@ -0,0 +1,6 @@
+sup3r.pipeline.utilities.get\_chunk\_slices
+===========================================
+
+.. currentmodule:: sup3r.pipeline.utilities
+
+.. autofunction:: get_chunk_slices
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.pipeline.utilities.get_model.rst b/_sources/_autosummary/sup3r.pipeline.utilities.get_model.rst
new file mode 100644
index 000000000..b009ccc39
--- /dev/null
+++ b/_sources/_autosummary/sup3r.pipeline.utilities.get_model.rst
@@ -0,0 +1,6 @@
+sup3r.pipeline.utilities.get\_model
+===================================
+
+.. currentmodule:: sup3r.pipeline.utilities
+
+.. autofunction:: get_model
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.pipeline.utilities.rst b/_sources/_autosummary/sup3r.pipeline.utilities.rst
new file mode 100644
index 000000000..c9fe1833f
--- /dev/null
+++ b/_sources/_autosummary/sup3r.pipeline.utilities.rst
@@ -0,0 +1,31 @@
+sup3r.pipeline.utilities
+========================
+
+.. automodule:: sup3r.pipeline.utilities
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+      :toctree:
+   
+      get_chunk_slices
+      get_model
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.postprocessing.collectors.base.BaseCollector.rst b/_sources/_autosummary/sup3r.postprocessing.collectors.base.BaseCollector.rst
new file mode 100644
index 000000000..b4d580339
--- /dev/null
+++ b/_sources/_autosummary/sup3r.postprocessing.collectors.base.BaseCollector.rst
@@ -0,0 +1,29 @@
+sup3r.postprocessing.collectors.base.BaseCollector
+==================================================
+
+.. currentmodule:: sup3r.postprocessing.collectors.base
+
+.. autoclass:: BaseCollector
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~BaseCollector.collect
+      ~BaseCollector.get_chunk_indices
+      ~BaseCollector.get_dset_attrs
+      ~BaseCollector.get_node_cmd
+      ~BaseCollector.get_time_dim_name
+      ~BaseCollector.write_data
+   
+   
+
+   
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.postprocessing.collectors.base.rst b/_sources/_autosummary/sup3r.postprocessing.collectors.base.rst
new file mode 100644
index 000000000..ad9936f61
--- /dev/null
+++ b/_sources/_autosummary/sup3r.postprocessing.collectors.base.rst
@@ -0,0 +1,31 @@
+sup3r.postprocessing.collectors.base
+====================================
+
+.. automodule:: sup3r.postprocessing.collectors.base
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      BaseCollector
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.rst b/_sources/_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.rst
new file mode 100644
index 000000000..d2aa0d8ce
--- /dev/null
+++ b/_sources/_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.rst
@@ -0,0 +1,37 @@
+sup3r.postprocessing.collectors.h5.CollectorH5
+==============================================
+
+.. currentmodule:: sup3r.postprocessing.collectors.h5
+
+.. autoclass:: CollectorH5
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~CollectorH5.collect
+      ~CollectorH5.collect_feature
+      ~CollectorH5.get_chunk_indices
+      ~CollectorH5.get_collection_attrs
+      ~CollectorH5.get_coordinate_indices
+      ~CollectorH5.get_data
+      ~CollectorH5.get_dset_attrs
+      ~CollectorH5.get_flist_chunks
+      ~CollectorH5.get_node_cmd
+      ~CollectorH5.get_slices
+      ~CollectorH5.get_target_and_masked_meta
+      ~CollectorH5.get_time_dim_name
+      ~CollectorH5.get_unique_chunk_files
+      ~CollectorH5.write_data
+   
+   
+
+   
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.postprocessing.collectors.h5.rst b/_sources/_autosummary/sup3r.postprocessing.collectors.h5.rst
new file mode 100644
index 000000000..1e16ad74d
--- /dev/null
+++ b/_sources/_autosummary/sup3r.postprocessing.collectors.h5.rst
@@ -0,0 +1,31 @@
+sup3r.postprocessing.collectors.h5
+==================================
+
+.. automodule:: sup3r.postprocessing.collectors.h5
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      CollectorH5
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.postprocessing.collectors.nc.CollectorNC.rst b/_sources/_autosummary/sup3r.postprocessing.collectors.nc.CollectorNC.rst
new file mode 100644
index 000000000..45b7027b4
--- /dev/null
+++ b/_sources/_autosummary/sup3r.postprocessing.collectors.nc.CollectorNC.rst
@@ -0,0 +1,30 @@
+sup3r.postprocessing.collectors.nc.CollectorNC
+==============================================
+
+.. currentmodule:: sup3r.postprocessing.collectors.nc
+
+.. autoclass:: CollectorNC
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~CollectorNC.collect
+      ~CollectorNC.get_chunk_indices
+      ~CollectorNC.get_dset_attrs
+      ~CollectorNC.get_node_cmd
+      ~CollectorNC.get_time_dim_name
+      ~CollectorNC.group_spatial_chunks
+      ~CollectorNC.write_data
+   
+   
+
+   
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.postprocessing.collectors.nc.rst b/_sources/_autosummary/sup3r.postprocessing.collectors.nc.rst
new file mode 100644
index 000000000..5994c9bf2
--- /dev/null
+++ b/_sources/_autosummary/sup3r.postprocessing.collectors.nc.rst
@@ -0,0 +1,31 @@
+sup3r.postprocessing.collectors.nc
+==================================
+
+.. automodule:: sup3r.postprocessing.collectors.nc
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      CollectorNC
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.postprocessing.collectors.rst b/_sources/_autosummary/sup3r.postprocessing.collectors.rst
new file mode 100644
index 000000000..bec0ff6d2
--- /dev/null
+++ b/_sources/_autosummary/sup3r.postprocessing.collectors.rst
@@ -0,0 +1,32 @@
+sup3r.postprocessing.collectors
+===============================
+
+.. automodule:: sup3r.postprocessing.collectors
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
+.. autosummary::
+   :toctree:
+   :template: custom-module-template.rst
+   :recursive:
+
+   base
+   h5
+   nc
+
diff --git a/_sources/_autosummary/sup3r.postprocessing.data_collect_cli.kickoff_local_job.rst b/_sources/_autosummary/sup3r.postprocessing.data_collect_cli.kickoff_local_job.rst
new file mode 100644
index 000000000..5f645a597
--- /dev/null
+++ b/_sources/_autosummary/sup3r.postprocessing.data_collect_cli.kickoff_local_job.rst
@@ -0,0 +1,6 @@
+sup3r.postprocessing.data\_collect\_cli.kickoff\_local\_job
+===========================================================
+
+.. currentmodule:: sup3r.postprocessing.data_collect_cli
+
+.. autofunction:: kickoff_local_job
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.postprocessing.data_collect_cli.kickoff_slurm_job.rst b/_sources/_autosummary/sup3r.postprocessing.data_collect_cli.kickoff_slurm_job.rst
new file mode 100644
index 000000000..36185fad0
--- /dev/null
+++ b/_sources/_autosummary/sup3r.postprocessing.data_collect_cli.kickoff_slurm_job.rst
@@ -0,0 +1,6 @@
+sup3r.postprocessing.data\_collect\_cli.kickoff\_slurm\_job
+===========================================================
+
+.. currentmodule:: sup3r.postprocessing.data_collect_cli
+
+.. autofunction:: kickoff_slurm_job
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.postprocessing.data_collect_cli.rst b/_sources/_autosummary/sup3r.postprocessing.data_collect_cli.rst
new file mode 100644
index 000000000..39bfcdfd5
--- /dev/null
+++ b/_sources/_autosummary/sup3r.postprocessing.data_collect_cli.rst
@@ -0,0 +1,31 @@
+sup3r.postprocessing.data\_collect\_cli
+=======================================
+
+.. automodule:: sup3r.postprocessing.data_collect_cli
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+      :toctree:
+   
+      kickoff_local_job
+      kickoff_slurm_job
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.postprocessing.rst b/_sources/_autosummary/sup3r.postprocessing.rst
new file mode 100644
index 000000000..501238154
--- /dev/null
+++ b/_sources/_autosummary/sup3r.postprocessing.rst
@@ -0,0 +1,32 @@
+sup3r.postprocessing
+====================
+
+.. automodule:: sup3r.postprocessing
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
+.. autosummary::
+   :toctree:
+   :template: custom-module-template.rst
+   :recursive:
+
+   collectors
+   data_collect_cli
+   writers
+
diff --git a/_sources/_autosummary/sup3r.postprocessing.writers.base.OutputHandler.rst b/_sources/_autosummary/sup3r.postprocessing.writers.base.OutputHandler.rst
new file mode 100644
index 000000000..bab9c76a9
--- /dev/null
+++ b/_sources/_autosummary/sup3r.postprocessing.writers.base.OutputHandler.rst
@@ -0,0 +1,35 @@
+sup3r.postprocessing.writers.base.OutputHandler
+===============================================
+
+.. currentmodule:: sup3r.postprocessing.writers.base
+
+.. autoclass:: OutputHandler
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~OutputHandler.enforce_limits
+      ~OutputHandler.get_dset_attrs
+      ~OutputHandler.get_lat_lon
+      ~OutputHandler.get_renamed_features
+      ~OutputHandler.get_time_dim_name
+      ~OutputHandler.get_times
+      ~OutputHandler.invert_uv_features
+      ~OutputHandler.invert_uv_single_pair
+      ~OutputHandler.is_increasing_lons
+      ~OutputHandler.pad_lat_lon
+      ~OutputHandler.write_data
+      ~OutputHandler.write_output
+   
+   
+
+   
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.postprocessing.writers.base.OutputMixin.rst b/_sources/_autosummary/sup3r.postprocessing.writers.base.OutputMixin.rst
new file mode 100644
index 000000000..53e773990
--- /dev/null
+++ b/_sources/_autosummary/sup3r.postprocessing.writers.base.OutputMixin.rst
@@ -0,0 +1,26 @@
+sup3r.postprocessing.writers.base.OutputMixin
+=============================================
+
+.. currentmodule:: sup3r.postprocessing.writers.base
+
+.. autoclass:: OutputMixin
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~OutputMixin.get_dset_attrs
+      ~OutputMixin.get_time_dim_name
+      ~OutputMixin.write_data
+   
+   
+
+   
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.postprocessing.writers.base.RexOutputs.rst b/_sources/_autosummary/sup3r.postprocessing.writers.base.RexOutputs.rst
new file mode 100644
index 000000000..ecd6e1113
--- /dev/null
+++ b/_sources/_autosummary/sup3r.postprocessing.writers.base.RexOutputs.rst
@@ -0,0 +1,77 @@
+sup3r.postprocessing.writers.base.RexOutputs
+============================================
+
+.. currentmodule:: sup3r.postprocessing.writers.base
+
+.. autoclass:: RexOutputs
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~RexOutputs.add_dataset
+      ~RexOutputs.close
+      ~RexOutputs.df_str_decode
+      ~RexOutputs.get_SAM_df
+      ~RexOutputs.get_attrs
+      ~RexOutputs.get_config
+      ~RexOutputs.get_dset_properties
+      ~RexOutputs.get_meta_arr
+      ~RexOutputs.get_scale_factor
+      ~RexOutputs.get_units
+      ~RexOutputs.init_h5
+      ~RexOutputs.open_dataset
+      ~RexOutputs.preload_SAM
+      ~RexOutputs.set_configs
+      ~RexOutputs.set_version_attr
+      ~RexOutputs.update_dset
+      ~RexOutputs.write_dataset
+      ~RexOutputs.write_means
+      ~RexOutputs.write_profiles
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~RexOutputs.ADD_ATTR
+      ~RexOutputs.SAM_configs
+      ~RexOutputs.SCALE_ATTR
+      ~RexOutputs.UNIT_ATTR
+      ~RexOutputs.adders
+      ~RexOutputs.attrs
+      ~RexOutputs.chunks
+      ~RexOutputs.coordinates
+      ~RexOutputs.data_version
+      ~RexOutputs.datasets
+      ~RexOutputs.dsets
+      ~RexOutputs.dtypes
+      ~RexOutputs.full_version_record
+      ~RexOutputs.global_attrs
+      ~RexOutputs.groups
+      ~RexOutputs.h5
+      ~RexOutputs.lat_lon
+      ~RexOutputs.meta
+      ~RexOutputs.package
+      ~RexOutputs.res_dsets
+      ~RexOutputs.resource_datasets
+      ~RexOutputs.run_attrs
+      ~RexOutputs.scale_factors
+      ~RexOutputs.shape
+      ~RexOutputs.shapes
+      ~RexOutputs.source
+      ~RexOutputs.time_index
+      ~RexOutputs.units
+      ~RexOutputs.version
+      ~RexOutputs.writable
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.postprocessing.writers.base.rst b/_sources/_autosummary/sup3r.postprocessing.writers.base.rst
new file mode 100644
index 000000000..a8e753f02
--- /dev/null
+++ b/_sources/_autosummary/sup3r.postprocessing.writers.base.rst
@@ -0,0 +1,33 @@
+sup3r.postprocessing.writers.base
+=================================
+
+.. automodule:: sup3r.postprocessing.writers.base
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      OutputHandler
+      OutputMixin
+      RexOutputs
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.postprocessing.writers.h5.OutputHandlerH5.rst b/_sources/_autosummary/sup3r.postprocessing.writers.h5.OutputHandlerH5.rst
new file mode 100644
index 000000000..1b79cf32b
--- /dev/null
+++ b/_sources/_autosummary/sup3r.postprocessing.writers.h5.OutputHandlerH5.rst
@@ -0,0 +1,35 @@
+sup3r.postprocessing.writers.h5.OutputHandlerH5
+===============================================
+
+.. currentmodule:: sup3r.postprocessing.writers.h5
+
+.. autoclass:: OutputHandlerH5
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~OutputHandlerH5.enforce_limits
+      ~OutputHandlerH5.get_dset_attrs
+      ~OutputHandlerH5.get_lat_lon
+      ~OutputHandlerH5.get_renamed_features
+      ~OutputHandlerH5.get_time_dim_name
+      ~OutputHandlerH5.get_times
+      ~OutputHandlerH5.invert_uv_features
+      ~OutputHandlerH5.invert_uv_single_pair
+      ~OutputHandlerH5.is_increasing_lons
+      ~OutputHandlerH5.pad_lat_lon
+      ~OutputHandlerH5.write_data
+      ~OutputHandlerH5.write_output
+   
+   
+
+   
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.postprocessing.writers.h5.rst b/_sources/_autosummary/sup3r.postprocessing.writers.h5.rst
new file mode 100644
index 000000000..5d94a7890
--- /dev/null
+++ b/_sources/_autosummary/sup3r.postprocessing.writers.h5.rst
@@ -0,0 +1,31 @@
+sup3r.postprocessing.writers.h5
+===============================
+
+.. automodule:: sup3r.postprocessing.writers.h5
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      OutputHandlerH5
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.postprocessing.writers.nc.OutputHandlerNC.rst b/_sources/_autosummary/sup3r.postprocessing.writers.nc.OutputHandlerNC.rst
new file mode 100644
index 000000000..da7bed486
--- /dev/null
+++ b/_sources/_autosummary/sup3r.postprocessing.writers.nc.OutputHandlerNC.rst
@@ -0,0 +1,35 @@
+sup3r.postprocessing.writers.nc.OutputHandlerNC
+===============================================
+
+.. currentmodule:: sup3r.postprocessing.writers.nc
+
+.. autoclass:: OutputHandlerNC
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~OutputHandlerNC.enforce_limits
+      ~OutputHandlerNC.get_dset_attrs
+      ~OutputHandlerNC.get_lat_lon
+      ~OutputHandlerNC.get_renamed_features
+      ~OutputHandlerNC.get_time_dim_name
+      ~OutputHandlerNC.get_times
+      ~OutputHandlerNC.invert_uv_features
+      ~OutputHandlerNC.invert_uv_single_pair
+      ~OutputHandlerNC.is_increasing_lons
+      ~OutputHandlerNC.pad_lat_lon
+      ~OutputHandlerNC.write_data
+      ~OutputHandlerNC.write_output
+   
+   
+
+   
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.postprocessing.writers.nc.rst b/_sources/_autosummary/sup3r.postprocessing.writers.nc.rst
new file mode 100644
index 000000000..399264d01
--- /dev/null
+++ b/_sources/_autosummary/sup3r.postprocessing.writers.nc.rst
@@ -0,0 +1,31 @@
+sup3r.postprocessing.writers.nc
+===============================
+
+.. automodule:: sup3r.postprocessing.writers.nc
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      OutputHandlerNC
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.postprocessing.writers.rst b/_sources/_autosummary/sup3r.postprocessing.writers.rst
new file mode 100644
index 000000000..99e2e0e38
--- /dev/null
+++ b/_sources/_autosummary/sup3r.postprocessing.writers.rst
@@ -0,0 +1,32 @@
+sup3r.postprocessing.writers
+============================
+
+.. automodule:: sup3r.postprocessing.writers
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
+.. autosummary::
+   :toctree:
+   :template: custom-module-template.rst
+   :recursive:
+
+   base
+   h5
+   nc
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.accessor.Sup3rX.rst b/_sources/_autosummary/sup3r.preprocessing.accessor.Sup3rX.rst
new file mode 100644
index 000000000..f11c3041c
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.accessor.Sup3rX.rst
@@ -0,0 +1,60 @@
+sup3r.preprocessing.accessor.Sup3rX
+===================================
+
+.. currentmodule:: sup3r.preprocessing.accessor
+
+.. autoclass:: Sup3rX
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~Sup3rX.add_dims_to_data_vars
+      ~Sup3rX.as_array
+      ~Sup3rX.assign
+      ~Sup3rX.coarsen
+      ~Sup3rX.compute
+      ~Sup3rX.flatten
+      ~Sup3rX.interpolate_na
+      ~Sup3rX.isel
+      ~Sup3rX.mean
+      ~Sup3rX.normalize
+      ~Sup3rX.ordered
+      ~Sup3rX.qa
+      ~Sup3rX.sample
+      ~Sup3rX.std
+      ~Sup3rX.to_dataarray
+      ~Sup3rX.unflatten
+      ~Sup3rX.update_ds
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~Sup3rX.dtype
+      ~Sup3rX.features
+      ~Sup3rX.flattened
+      ~Sup3rX.grid_shape
+      ~Sup3rX.lat_lon
+      ~Sup3rX.loaded
+      ~Sup3rX.meta
+      ~Sup3rX.name
+      ~Sup3rX.shape
+      ~Sup3rX.size
+      ~Sup3rX.target
+      ~Sup3rX.time_independent
+      ~Sup3rX.time_index
+      ~Sup3rX.time_step
+      ~Sup3rX.values
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.accessor.rst b/_sources/_autosummary/sup3r.preprocessing.accessor.rst
new file mode 100644
index 000000000..37dc3baa7
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.accessor.rst
@@ -0,0 +1,31 @@
+sup3r.preprocessing.accessor
+============================
+
+.. automodule:: sup3r.preprocessing.accessor
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      Sup3rX
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.base.Container.rst b/_sources/_autosummary/sup3r.preprocessing.base.Container.rst
new file mode 100644
index 000000000..637982662
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.base.Container.rst
@@ -0,0 +1,32 @@
+sup3r.preprocessing.base.Container
+==================================
+
+.. currentmodule:: sup3r.preprocessing.base
+
+.. autoclass:: Container
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~Container.post_init_log
+      ~Container.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~Container.data
+      ~Container.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.base.Sup3rDataset.rst b/_sources/_autosummary/sup3r.preprocessing.base.Sup3rDataset.rst
new file mode 100644
index 000000000..7ab8a597d
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.base.Sup3rDataset.rst
@@ -0,0 +1,40 @@
+sup3r.preprocessing.base.Sup3rDataset
+=====================================
+
+.. currentmodule:: sup3r.preprocessing.base
+
+.. autoclass:: Sup3rDataset
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~Sup3rDataset.compute
+      ~Sup3rDataset.isel
+      ~Sup3rDataset.mean
+      ~Sup3rDataset.normalize
+      ~Sup3rDataset.rewrap
+      ~Sup3rDataset.sample
+      ~Sup3rDataset.std
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~Sup3rDataset.dtype
+      ~Sup3rDataset.features
+      ~Sup3rDataset.loaded
+      ~Sup3rDataset.shape
+      ~Sup3rDataset.size
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.base.Sup3rMeta.rst b/_sources/_autosummary/sup3r.preprocessing.base.Sup3rMeta.rst
new file mode 100644
index 000000000..6bb172761
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.base.Sup3rMeta.rst
@@ -0,0 +1,25 @@
+sup3r.preprocessing.base.Sup3rMeta
+==================================
+
+.. currentmodule:: sup3r.preprocessing.base
+
+.. autoclass:: Sup3rMeta
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~Sup3rMeta.mro
+      ~Sup3rMeta.register
+   
+   
+
+   
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.base.rst b/_sources/_autosummary/sup3r.preprocessing.base.rst
new file mode 100644
index 000000000..26eca149b
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.base.rst
@@ -0,0 +1,33 @@
+sup3r.preprocessing.base
+========================
+
+.. automodule:: sup3r.preprocessing.base
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      Container
+      Sup3rDataset
+      Sup3rMeta
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.rst b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.rst
new file mode 100644
index 000000000..5bc51a406
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.rst
@@ -0,0 +1,59 @@
+sup3r.preprocessing.batch\_handlers.dc.BatchHandlerDC
+=====================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_handlers.dc
+
+.. autoclass:: BatchHandlerDC
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~BatchHandlerDC.check_enhancement_factors
+      ~BatchHandlerDC.check_features
+      ~BatchHandlerDC.check_shared_attr
+      ~BatchHandlerDC.enqueue_batch
+      ~BatchHandlerDC.enqueue_batches
+      ~BatchHandlerDC.get_batch
+      ~BatchHandlerDC.get_container_index
+      ~BatchHandlerDC.get_queue
+      ~BatchHandlerDC.get_random_container
+      ~BatchHandlerDC.init_samplers
+      ~BatchHandlerDC.log_queue_info
+      ~BatchHandlerDC.post_init_log
+      ~BatchHandlerDC.post_proc
+      ~BatchHandlerDC.preflight
+      ~BatchHandlerDC.sample_batch
+      ~BatchHandlerDC.start
+      ~BatchHandlerDC.stop
+      ~BatchHandlerDC.transform
+      ~BatchHandlerDC.update_weights
+      ~BatchHandlerDC.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~BatchHandlerDC.container_weights
+      ~BatchHandlerDC.data
+      ~BatchHandlerDC.features
+      ~BatchHandlerDC.hr_shape
+      ~BatchHandlerDC.lr_shape
+      ~BatchHandlerDC.queue_shape
+      ~BatchHandlerDC.queue_thread
+      ~BatchHandlerDC.running
+      ~BatchHandlerDC.shape
+      ~BatchHandlerDC.spatial_weights
+      ~BatchHandlerDC.temporal_weights
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_handlers.dc.rst b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.dc.rst
new file mode 100644
index 000000000..4176e6fde
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.dc.rst
@@ -0,0 +1,31 @@
+sup3r.preprocessing.batch\_handlers.dc
+======================================
+
+.. automodule:: sup3r.preprocessing.batch_handlers.dc
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      BatchHandlerDC
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.rst b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.rst
new file mode 100644
index 000000000..e57864a64
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.rst
@@ -0,0 +1,56 @@
+sup3r.preprocessing.batch\_handlers.factory.BatchHandler
+========================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_handlers.factory
+
+.. autoclass:: BatchHandler
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~BatchHandler.check_enhancement_factors
+      ~BatchHandler.check_features
+      ~BatchHandler.check_shared_attr
+      ~BatchHandler.enqueue_batch
+      ~BatchHandler.enqueue_batches
+      ~BatchHandler.get_batch
+      ~BatchHandler.get_container_index
+      ~BatchHandler.get_queue
+      ~BatchHandler.get_random_container
+      ~BatchHandler.init_samplers
+      ~BatchHandler.log_queue_info
+      ~BatchHandler.post_init_log
+      ~BatchHandler.post_proc
+      ~BatchHandler.preflight
+      ~BatchHandler.sample_batch
+      ~BatchHandler.start
+      ~BatchHandler.stop
+      ~BatchHandler.transform
+      ~BatchHandler.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~BatchHandler.container_weights
+      ~BatchHandler.data
+      ~BatchHandler.features
+      ~BatchHandler.hr_shape
+      ~BatchHandler.lr_shape
+      ~BatchHandler.queue_shape
+      ~BatchHandler.queue_thread
+      ~BatchHandler.running
+      ~BatchHandler.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.rst b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.rst
new file mode 100644
index 000000000..c73f2d747
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.rst
@@ -0,0 +1,56 @@
+sup3r.preprocessing.batch\_handlers.factory.BatchHandlerCC
+==========================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_handlers.factory
+
+.. autoclass:: BatchHandlerCC
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~BatchHandlerCC.check_enhancement_factors
+      ~BatchHandlerCC.check_features
+      ~BatchHandlerCC.check_shared_attr
+      ~BatchHandlerCC.enqueue_batch
+      ~BatchHandlerCC.enqueue_batches
+      ~BatchHandlerCC.get_batch
+      ~BatchHandlerCC.get_container_index
+      ~BatchHandlerCC.get_queue
+      ~BatchHandlerCC.get_random_container
+      ~BatchHandlerCC.init_samplers
+      ~BatchHandlerCC.log_queue_info
+      ~BatchHandlerCC.post_init_log
+      ~BatchHandlerCC.post_proc
+      ~BatchHandlerCC.preflight
+      ~BatchHandlerCC.sample_batch
+      ~BatchHandlerCC.start
+      ~BatchHandlerCC.stop
+      ~BatchHandlerCC.transform
+      ~BatchHandlerCC.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~BatchHandlerCC.container_weights
+      ~BatchHandlerCC.data
+      ~BatchHandlerCC.features
+      ~BatchHandlerCC.hr_shape
+      ~BatchHandlerCC.lr_shape
+      ~BatchHandlerCC.queue_shape
+      ~BatchHandlerCC.queue_thread
+      ~BatchHandlerCC.running
+      ~BatchHandlerCC.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerFactory.rst b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerFactory.rst
new file mode 100644
index 000000000..a9ea323c6
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerFactory.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.batch\_handlers.factory.BatchHandlerFactory
+===============================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_handlers.factory
+
+.. autofunction:: BatchHandlerFactory
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.rst b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.rst
new file mode 100644
index 000000000..2248fd654
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.rst
@@ -0,0 +1,58 @@
+sup3r.preprocessing.batch\_handlers.factory.BatchHandlerMom1
+============================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_handlers.factory
+
+.. autoclass:: BatchHandlerMom1
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~BatchHandlerMom1.check_enhancement_factors
+      ~BatchHandlerMom1.check_features
+      ~BatchHandlerMom1.check_shared_attr
+      ~BatchHandlerMom1.enqueue_batch
+      ~BatchHandlerMom1.enqueue_batches
+      ~BatchHandlerMom1.get_batch
+      ~BatchHandlerMom1.get_container_index
+      ~BatchHandlerMom1.get_queue
+      ~BatchHandlerMom1.get_random_container
+      ~BatchHandlerMom1.init_samplers
+      ~BatchHandlerMom1.log_queue_info
+      ~BatchHandlerMom1.make_mask
+      ~BatchHandlerMom1.make_output
+      ~BatchHandlerMom1.post_init_log
+      ~BatchHandlerMom1.post_proc
+      ~BatchHandlerMom1.preflight
+      ~BatchHandlerMom1.sample_batch
+      ~BatchHandlerMom1.start
+      ~BatchHandlerMom1.stop
+      ~BatchHandlerMom1.transform
+      ~BatchHandlerMom1.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~BatchHandlerMom1.container_weights
+      ~BatchHandlerMom1.data
+      ~BatchHandlerMom1.features
+      ~BatchHandlerMom1.hr_shape
+      ~BatchHandlerMom1.lr_shape
+      ~BatchHandlerMom1.queue_shape
+      ~BatchHandlerMom1.queue_thread
+      ~BatchHandlerMom1.running
+      ~BatchHandlerMom1.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.rst b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.rst
new file mode 100644
index 000000000..eb92c6365
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.rst
@@ -0,0 +1,58 @@
+sup3r.preprocessing.batch\_handlers.factory.BatchHandlerMom1SF
+==============================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_handlers.factory
+
+.. autoclass:: BatchHandlerMom1SF
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~BatchHandlerMom1SF.check_enhancement_factors
+      ~BatchHandlerMom1SF.check_features
+      ~BatchHandlerMom1SF.check_shared_attr
+      ~BatchHandlerMom1SF.enqueue_batch
+      ~BatchHandlerMom1SF.enqueue_batches
+      ~BatchHandlerMom1SF.get_batch
+      ~BatchHandlerMom1SF.get_container_index
+      ~BatchHandlerMom1SF.get_queue
+      ~BatchHandlerMom1SF.get_random_container
+      ~BatchHandlerMom1SF.init_samplers
+      ~BatchHandlerMom1SF.log_queue_info
+      ~BatchHandlerMom1SF.make_mask
+      ~BatchHandlerMom1SF.make_output
+      ~BatchHandlerMom1SF.post_init_log
+      ~BatchHandlerMom1SF.post_proc
+      ~BatchHandlerMom1SF.preflight
+      ~BatchHandlerMom1SF.sample_batch
+      ~BatchHandlerMom1SF.start
+      ~BatchHandlerMom1SF.stop
+      ~BatchHandlerMom1SF.transform
+      ~BatchHandlerMom1SF.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~BatchHandlerMom1SF.container_weights
+      ~BatchHandlerMom1SF.data
+      ~BatchHandlerMom1SF.features
+      ~BatchHandlerMom1SF.hr_shape
+      ~BatchHandlerMom1SF.lr_shape
+      ~BatchHandlerMom1SF.queue_shape
+      ~BatchHandlerMom1SF.queue_thread
+      ~BatchHandlerMom1SF.running
+      ~BatchHandlerMom1SF.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.rst b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.rst
new file mode 100644
index 000000000..36e831767
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.rst
@@ -0,0 +1,58 @@
+sup3r.preprocessing.batch\_handlers.factory.BatchHandlerMom2
+============================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_handlers.factory
+
+.. autoclass:: BatchHandlerMom2
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~BatchHandlerMom2.check_enhancement_factors
+      ~BatchHandlerMom2.check_features
+      ~BatchHandlerMom2.check_shared_attr
+      ~BatchHandlerMom2.enqueue_batch
+      ~BatchHandlerMom2.enqueue_batches
+      ~BatchHandlerMom2.get_batch
+      ~BatchHandlerMom2.get_container_index
+      ~BatchHandlerMom2.get_queue
+      ~BatchHandlerMom2.get_random_container
+      ~BatchHandlerMom2.init_samplers
+      ~BatchHandlerMom2.log_queue_info
+      ~BatchHandlerMom2.make_mask
+      ~BatchHandlerMom2.make_output
+      ~BatchHandlerMom2.post_init_log
+      ~BatchHandlerMom2.post_proc
+      ~BatchHandlerMom2.preflight
+      ~BatchHandlerMom2.sample_batch
+      ~BatchHandlerMom2.start
+      ~BatchHandlerMom2.stop
+      ~BatchHandlerMom2.transform
+      ~BatchHandlerMom2.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~BatchHandlerMom2.container_weights
+      ~BatchHandlerMom2.data
+      ~BatchHandlerMom2.features
+      ~BatchHandlerMom2.hr_shape
+      ~BatchHandlerMom2.lr_shape
+      ~BatchHandlerMom2.queue_shape
+      ~BatchHandlerMom2.queue_thread
+      ~BatchHandlerMom2.running
+      ~BatchHandlerMom2.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SF.rst b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SF.rst
new file mode 100644
index 000000000..6809d7249
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SF.rst
@@ -0,0 +1,58 @@
+sup3r.preprocessing.batch\_handlers.factory.BatchHandlerMom2SF
+==============================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_handlers.factory
+
+.. autoclass:: BatchHandlerMom2SF
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~BatchHandlerMom2SF.check_enhancement_factors
+      ~BatchHandlerMom2SF.check_features
+      ~BatchHandlerMom2SF.check_shared_attr
+      ~BatchHandlerMom2SF.enqueue_batch
+      ~BatchHandlerMom2SF.enqueue_batches
+      ~BatchHandlerMom2SF.get_batch
+      ~BatchHandlerMom2SF.get_container_index
+      ~BatchHandlerMom2SF.get_queue
+      ~BatchHandlerMom2SF.get_random_container
+      ~BatchHandlerMom2SF.init_samplers
+      ~BatchHandlerMom2SF.log_queue_info
+      ~BatchHandlerMom2SF.make_mask
+      ~BatchHandlerMom2SF.make_output
+      ~BatchHandlerMom2SF.post_init_log
+      ~BatchHandlerMom2SF.post_proc
+      ~BatchHandlerMom2SF.preflight
+      ~BatchHandlerMom2SF.sample_batch
+      ~BatchHandlerMom2SF.start
+      ~BatchHandlerMom2SF.stop
+      ~BatchHandlerMom2SF.transform
+      ~BatchHandlerMom2SF.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~BatchHandlerMom2SF.container_weights
+      ~BatchHandlerMom2SF.data
+      ~BatchHandlerMom2SF.features
+      ~BatchHandlerMom2SF.hr_shape
+      ~BatchHandlerMom2SF.lr_shape
+      ~BatchHandlerMom2SF.queue_shape
+      ~BatchHandlerMom2SF.queue_thread
+      ~BatchHandlerMom2SF.running
+      ~BatchHandlerMom2SF.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.rst b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.rst
new file mode 100644
index 000000000..a4cbeb381
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.rst
@@ -0,0 +1,58 @@
+sup3r.preprocessing.batch\_handlers.factory.BatchHandlerMom2Sep
+===============================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_handlers.factory
+
+.. autoclass:: BatchHandlerMom2Sep
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~BatchHandlerMom2Sep.check_enhancement_factors
+      ~BatchHandlerMom2Sep.check_features
+      ~BatchHandlerMom2Sep.check_shared_attr
+      ~BatchHandlerMom2Sep.enqueue_batch
+      ~BatchHandlerMom2Sep.enqueue_batches
+      ~BatchHandlerMom2Sep.get_batch
+      ~BatchHandlerMom2Sep.get_container_index
+      ~BatchHandlerMom2Sep.get_queue
+      ~BatchHandlerMom2Sep.get_random_container
+      ~BatchHandlerMom2Sep.init_samplers
+      ~BatchHandlerMom2Sep.log_queue_info
+      ~BatchHandlerMom2Sep.make_mask
+      ~BatchHandlerMom2Sep.make_output
+      ~BatchHandlerMom2Sep.post_init_log
+      ~BatchHandlerMom2Sep.post_proc
+      ~BatchHandlerMom2Sep.preflight
+      ~BatchHandlerMom2Sep.sample_batch
+      ~BatchHandlerMom2Sep.start
+      ~BatchHandlerMom2Sep.stop
+      ~BatchHandlerMom2Sep.transform
+      ~BatchHandlerMom2Sep.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~BatchHandlerMom2Sep.container_weights
+      ~BatchHandlerMom2Sep.data
+      ~BatchHandlerMom2Sep.features
+      ~BatchHandlerMom2Sep.hr_shape
+      ~BatchHandlerMom2Sep.lr_shape
+      ~BatchHandlerMom2Sep.queue_shape
+      ~BatchHandlerMom2Sep.queue_thread
+      ~BatchHandlerMom2Sep.running
+      ~BatchHandlerMom2Sep.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.rst b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.rst
new file mode 100644
index 000000000..4c50ac9cd
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.rst
@@ -0,0 +1,58 @@
+sup3r.preprocessing.batch\_handlers.factory.BatchHandlerMom2SepSF
+=================================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_handlers.factory
+
+.. autoclass:: BatchHandlerMom2SepSF
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~BatchHandlerMom2SepSF.check_enhancement_factors
+      ~BatchHandlerMom2SepSF.check_features
+      ~BatchHandlerMom2SepSF.check_shared_attr
+      ~BatchHandlerMom2SepSF.enqueue_batch
+      ~BatchHandlerMom2SepSF.enqueue_batches
+      ~BatchHandlerMom2SepSF.get_batch
+      ~BatchHandlerMom2SepSF.get_container_index
+      ~BatchHandlerMom2SepSF.get_queue
+      ~BatchHandlerMom2SepSF.get_random_container
+      ~BatchHandlerMom2SepSF.init_samplers
+      ~BatchHandlerMom2SepSF.log_queue_info
+      ~BatchHandlerMom2SepSF.make_mask
+      ~BatchHandlerMom2SepSF.make_output
+      ~BatchHandlerMom2SepSF.post_init_log
+      ~BatchHandlerMom2SepSF.post_proc
+      ~BatchHandlerMom2SepSF.preflight
+      ~BatchHandlerMom2SepSF.sample_batch
+      ~BatchHandlerMom2SepSF.start
+      ~BatchHandlerMom2SepSF.stop
+      ~BatchHandlerMom2SepSF.transform
+      ~BatchHandlerMom2SepSF.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~BatchHandlerMom2SepSF.container_weights
+      ~BatchHandlerMom2SepSF.data
+      ~BatchHandlerMom2SepSF.features
+      ~BatchHandlerMom2SepSF.hr_shape
+      ~BatchHandlerMom2SepSF.lr_shape
+      ~BatchHandlerMom2SepSF.queue_shape
+      ~BatchHandlerMom2SepSF.queue_thread
+      ~BatchHandlerMom2SepSF.running
+      ~BatchHandlerMom2SepSF.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.rst b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.rst
new file mode 100644
index 000000000..a442f9819
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.rst
@@ -0,0 +1,56 @@
+sup3r.preprocessing.batch\_handlers.factory.DualBatchHandler
+============================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_handlers.factory
+
+.. autoclass:: DualBatchHandler
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~DualBatchHandler.check_enhancement_factors
+      ~DualBatchHandler.check_features
+      ~DualBatchHandler.check_shared_attr
+      ~DualBatchHandler.enqueue_batch
+      ~DualBatchHandler.enqueue_batches
+      ~DualBatchHandler.get_batch
+      ~DualBatchHandler.get_container_index
+      ~DualBatchHandler.get_queue
+      ~DualBatchHandler.get_random_container
+      ~DualBatchHandler.init_samplers
+      ~DualBatchHandler.log_queue_info
+      ~DualBatchHandler.post_init_log
+      ~DualBatchHandler.post_proc
+      ~DualBatchHandler.preflight
+      ~DualBatchHandler.sample_batch
+      ~DualBatchHandler.start
+      ~DualBatchHandler.stop
+      ~DualBatchHandler.transform
+      ~DualBatchHandler.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~DualBatchHandler.container_weights
+      ~DualBatchHandler.data
+      ~DualBatchHandler.features
+      ~DualBatchHandler.hr_shape
+      ~DualBatchHandler.lr_shape
+      ~DualBatchHandler.queue_shape
+      ~DualBatchHandler.queue_thread
+      ~DualBatchHandler.running
+      ~DualBatchHandler.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.rst b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.rst
new file mode 100644
index 000000000..3ebc6d130
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.factory.rst
@@ -0,0 +1,46 @@
+sup3r.preprocessing.batch\_handlers.factory
+===========================================
+
+.. automodule:: sup3r.preprocessing.batch_handlers.factory
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+      :toctree:
+   
+      BatchHandlerFactory
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      BatchHandler
+      BatchHandlerCC
+      BatchHandlerMom1
+      BatchHandlerMom1SF
+      BatchHandlerMom2
+      BatchHandlerMom2SF
+      BatchHandlerMom2Sep
+      BatchHandlerMom2SepSF
+      DualBatchHandler
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_handlers.rst b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.rst
new file mode 100644
index 000000000..4acd12c3f
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_handlers.rst
@@ -0,0 +1,31 @@
+sup3r.preprocessing.batch\_handlers
+===================================
+
+.. automodule:: sup3r.preprocessing.batch_handlers
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
+.. autosummary::
+   :toctree:
+   :template: custom-module-template.rst
+   :recursive:
+
+   dc
+   factory
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.rst b/_sources/_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.rst
new file mode 100644
index 000000000..8d906fab0
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.rst
@@ -0,0 +1,55 @@
+sup3r.preprocessing.batch\_queues.abstract.AbstractBatchQueue
+=============================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_queues.abstract
+
+.. autoclass:: AbstractBatchQueue
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~AbstractBatchQueue.check_enhancement_factors
+      ~AbstractBatchQueue.check_features
+      ~AbstractBatchQueue.check_shared_attr
+      ~AbstractBatchQueue.enqueue_batch
+      ~AbstractBatchQueue.enqueue_batches
+      ~AbstractBatchQueue.get_batch
+      ~AbstractBatchQueue.get_container_index
+      ~AbstractBatchQueue.get_queue
+      ~AbstractBatchQueue.get_random_container
+      ~AbstractBatchQueue.log_queue_info
+      ~AbstractBatchQueue.post_init_log
+      ~AbstractBatchQueue.post_proc
+      ~AbstractBatchQueue.preflight
+      ~AbstractBatchQueue.sample_batch
+      ~AbstractBatchQueue.start
+      ~AbstractBatchQueue.stop
+      ~AbstractBatchQueue.transform
+      ~AbstractBatchQueue.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~AbstractBatchQueue.container_weights
+      ~AbstractBatchQueue.data
+      ~AbstractBatchQueue.features
+      ~AbstractBatchQueue.hr_shape
+      ~AbstractBatchQueue.lr_shape
+      ~AbstractBatchQueue.queue_shape
+      ~AbstractBatchQueue.queue_thread
+      ~AbstractBatchQueue.running
+      ~AbstractBatchQueue.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_queues.abstract.rst b/_sources/_autosummary/sup3r.preprocessing.batch_queues.abstract.rst
new file mode 100644
index 000000000..c1473e1a9
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_queues.abstract.rst
@@ -0,0 +1,31 @@
+sup3r.preprocessing.batch\_queues.abstract
+==========================================
+
+.. automodule:: sup3r.preprocessing.batch_queues.abstract
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      AbstractBatchQueue
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.rst b/_sources/_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.rst
new file mode 100644
index 000000000..6cb9ca92f
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.rst
@@ -0,0 +1,55 @@
+sup3r.preprocessing.batch\_queues.base.SingleBatchQueue
+=======================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_queues.base
+
+.. autoclass:: SingleBatchQueue
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~SingleBatchQueue.check_enhancement_factors
+      ~SingleBatchQueue.check_features
+      ~SingleBatchQueue.check_shared_attr
+      ~SingleBatchQueue.enqueue_batch
+      ~SingleBatchQueue.enqueue_batches
+      ~SingleBatchQueue.get_batch
+      ~SingleBatchQueue.get_container_index
+      ~SingleBatchQueue.get_queue
+      ~SingleBatchQueue.get_random_container
+      ~SingleBatchQueue.log_queue_info
+      ~SingleBatchQueue.post_init_log
+      ~SingleBatchQueue.post_proc
+      ~SingleBatchQueue.preflight
+      ~SingleBatchQueue.sample_batch
+      ~SingleBatchQueue.start
+      ~SingleBatchQueue.stop
+      ~SingleBatchQueue.transform
+      ~SingleBatchQueue.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~SingleBatchQueue.container_weights
+      ~SingleBatchQueue.data
+      ~SingleBatchQueue.features
+      ~SingleBatchQueue.hr_shape
+      ~SingleBatchQueue.lr_shape
+      ~SingleBatchQueue.queue_shape
+      ~SingleBatchQueue.queue_thread
+      ~SingleBatchQueue.running
+      ~SingleBatchQueue.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_queues.base.rst b/_sources/_autosummary/sup3r.preprocessing.batch_queues.base.rst
new file mode 100644
index 000000000..6dd7a39ba
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_queues.base.rst
@@ -0,0 +1,31 @@
+sup3r.preprocessing.batch\_queues.base
+======================================
+
+.. automodule:: sup3r.preprocessing.batch_queues.base
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      SingleBatchQueue
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.rst b/_sources/_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.rst
new file mode 100644
index 000000000..cca3a7b77
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.rst
@@ -0,0 +1,57 @@
+sup3r.preprocessing.batch\_queues.conditional.ConditionalBatchQueue
+===================================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_queues.conditional
+
+.. autoclass:: ConditionalBatchQueue
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~ConditionalBatchQueue.check_enhancement_factors
+      ~ConditionalBatchQueue.check_features
+      ~ConditionalBatchQueue.check_shared_attr
+      ~ConditionalBatchQueue.enqueue_batch
+      ~ConditionalBatchQueue.enqueue_batches
+      ~ConditionalBatchQueue.get_batch
+      ~ConditionalBatchQueue.get_container_index
+      ~ConditionalBatchQueue.get_queue
+      ~ConditionalBatchQueue.get_random_container
+      ~ConditionalBatchQueue.log_queue_info
+      ~ConditionalBatchQueue.make_mask
+      ~ConditionalBatchQueue.make_output
+      ~ConditionalBatchQueue.post_init_log
+      ~ConditionalBatchQueue.post_proc
+      ~ConditionalBatchQueue.preflight
+      ~ConditionalBatchQueue.sample_batch
+      ~ConditionalBatchQueue.start
+      ~ConditionalBatchQueue.stop
+      ~ConditionalBatchQueue.transform
+      ~ConditionalBatchQueue.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~ConditionalBatchQueue.container_weights
+      ~ConditionalBatchQueue.data
+      ~ConditionalBatchQueue.features
+      ~ConditionalBatchQueue.hr_shape
+      ~ConditionalBatchQueue.lr_shape
+      ~ConditionalBatchQueue.queue_shape
+      ~ConditionalBatchQueue.queue_thread
+      ~ConditionalBatchQueue.running
+      ~ConditionalBatchQueue.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.rst b/_sources/_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.rst
new file mode 100644
index 000000000..d6f79beb8
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.rst
@@ -0,0 +1,57 @@
+sup3r.preprocessing.batch\_queues.conditional.QueueMom1
+=======================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_queues.conditional
+
+.. autoclass:: QueueMom1
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~QueueMom1.check_enhancement_factors
+      ~QueueMom1.check_features
+      ~QueueMom1.check_shared_attr
+      ~QueueMom1.enqueue_batch
+      ~QueueMom1.enqueue_batches
+      ~QueueMom1.get_batch
+      ~QueueMom1.get_container_index
+      ~QueueMom1.get_queue
+      ~QueueMom1.get_random_container
+      ~QueueMom1.log_queue_info
+      ~QueueMom1.make_mask
+      ~QueueMom1.make_output
+      ~QueueMom1.post_init_log
+      ~QueueMom1.post_proc
+      ~QueueMom1.preflight
+      ~QueueMom1.sample_batch
+      ~QueueMom1.start
+      ~QueueMom1.stop
+      ~QueueMom1.transform
+      ~QueueMom1.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~QueueMom1.container_weights
+      ~QueueMom1.data
+      ~QueueMom1.features
+      ~QueueMom1.hr_shape
+      ~QueueMom1.lr_shape
+      ~QueueMom1.queue_shape
+      ~QueueMom1.queue_thread
+      ~QueueMom1.running
+      ~QueueMom1.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.rst b/_sources/_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.rst
new file mode 100644
index 000000000..2422bf900
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.rst
@@ -0,0 +1,57 @@
+sup3r.preprocessing.batch\_queues.conditional.QueueMom1SF
+=========================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_queues.conditional
+
+.. autoclass:: QueueMom1SF
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~QueueMom1SF.check_enhancement_factors
+      ~QueueMom1SF.check_features
+      ~QueueMom1SF.check_shared_attr
+      ~QueueMom1SF.enqueue_batch
+      ~QueueMom1SF.enqueue_batches
+      ~QueueMom1SF.get_batch
+      ~QueueMom1SF.get_container_index
+      ~QueueMom1SF.get_queue
+      ~QueueMom1SF.get_random_container
+      ~QueueMom1SF.log_queue_info
+      ~QueueMom1SF.make_mask
+      ~QueueMom1SF.make_output
+      ~QueueMom1SF.post_init_log
+      ~QueueMom1SF.post_proc
+      ~QueueMom1SF.preflight
+      ~QueueMom1SF.sample_batch
+      ~QueueMom1SF.start
+      ~QueueMom1SF.stop
+      ~QueueMom1SF.transform
+      ~QueueMom1SF.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~QueueMom1SF.container_weights
+      ~QueueMom1SF.data
+      ~QueueMom1SF.features
+      ~QueueMom1SF.hr_shape
+      ~QueueMom1SF.lr_shape
+      ~QueueMom1SF.queue_shape
+      ~QueueMom1SF.queue_thread
+      ~QueueMom1SF.running
+      ~QueueMom1SF.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.rst b/_sources/_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.rst
new file mode 100644
index 000000000..32931da05
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.rst
@@ -0,0 +1,57 @@
+sup3r.preprocessing.batch\_queues.conditional.QueueMom2
+=======================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_queues.conditional
+
+.. autoclass:: QueueMom2
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~QueueMom2.check_enhancement_factors
+      ~QueueMom2.check_features
+      ~QueueMom2.check_shared_attr
+      ~QueueMom2.enqueue_batch
+      ~QueueMom2.enqueue_batches
+      ~QueueMom2.get_batch
+      ~QueueMom2.get_container_index
+      ~QueueMom2.get_queue
+      ~QueueMom2.get_random_container
+      ~QueueMom2.log_queue_info
+      ~QueueMom2.make_mask
+      ~QueueMom2.make_output
+      ~QueueMom2.post_init_log
+      ~QueueMom2.post_proc
+      ~QueueMom2.preflight
+      ~QueueMom2.sample_batch
+      ~QueueMom2.start
+      ~QueueMom2.stop
+      ~QueueMom2.transform
+      ~QueueMom2.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~QueueMom2.container_weights
+      ~QueueMom2.data
+      ~QueueMom2.features
+      ~QueueMom2.hr_shape
+      ~QueueMom2.lr_shape
+      ~QueueMom2.queue_shape
+      ~QueueMom2.queue_thread
+      ~QueueMom2.running
+      ~QueueMom2.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.rst b/_sources/_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.rst
new file mode 100644
index 000000000..883e456df
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.rst
@@ -0,0 +1,57 @@
+sup3r.preprocessing.batch\_queues.conditional.QueueMom2SF
+=========================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_queues.conditional
+
+.. autoclass:: QueueMom2SF
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~QueueMom2SF.check_enhancement_factors
+      ~QueueMom2SF.check_features
+      ~QueueMom2SF.check_shared_attr
+      ~QueueMom2SF.enqueue_batch
+      ~QueueMom2SF.enqueue_batches
+      ~QueueMom2SF.get_batch
+      ~QueueMom2SF.get_container_index
+      ~QueueMom2SF.get_queue
+      ~QueueMom2SF.get_random_container
+      ~QueueMom2SF.log_queue_info
+      ~QueueMom2SF.make_mask
+      ~QueueMom2SF.make_output
+      ~QueueMom2SF.post_init_log
+      ~QueueMom2SF.post_proc
+      ~QueueMom2SF.preflight
+      ~QueueMom2SF.sample_batch
+      ~QueueMom2SF.start
+      ~QueueMom2SF.stop
+      ~QueueMom2SF.transform
+      ~QueueMom2SF.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~QueueMom2SF.container_weights
+      ~QueueMom2SF.data
+      ~QueueMom2SF.features
+      ~QueueMom2SF.hr_shape
+      ~QueueMom2SF.lr_shape
+      ~QueueMom2SF.queue_shape
+      ~QueueMom2SF.queue_thread
+      ~QueueMom2SF.running
+      ~QueueMom2SF.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.rst b/_sources/_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.rst
new file mode 100644
index 000000000..425894977
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.rst
@@ -0,0 +1,57 @@
+sup3r.preprocessing.batch\_queues.conditional.QueueMom2Sep
+==========================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_queues.conditional
+
+.. autoclass:: QueueMom2Sep
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~QueueMom2Sep.check_enhancement_factors
+      ~QueueMom2Sep.check_features
+      ~QueueMom2Sep.check_shared_attr
+      ~QueueMom2Sep.enqueue_batch
+      ~QueueMom2Sep.enqueue_batches
+      ~QueueMom2Sep.get_batch
+      ~QueueMom2Sep.get_container_index
+      ~QueueMom2Sep.get_queue
+      ~QueueMom2Sep.get_random_container
+      ~QueueMom2Sep.log_queue_info
+      ~QueueMom2Sep.make_mask
+      ~QueueMom2Sep.make_output
+      ~QueueMom2Sep.post_init_log
+      ~QueueMom2Sep.post_proc
+      ~QueueMom2Sep.preflight
+      ~QueueMom2Sep.sample_batch
+      ~QueueMom2Sep.start
+      ~QueueMom2Sep.stop
+      ~QueueMom2Sep.transform
+      ~QueueMom2Sep.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~QueueMom2Sep.container_weights
+      ~QueueMom2Sep.data
+      ~QueueMom2Sep.features
+      ~QueueMom2Sep.hr_shape
+      ~QueueMom2Sep.lr_shape
+      ~QueueMom2Sep.queue_shape
+      ~QueueMom2Sep.queue_thread
+      ~QueueMom2Sep.running
+      ~QueueMom2Sep.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.rst b/_sources/_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.rst
new file mode 100644
index 000000000..abf4bf85a
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.rst
@@ -0,0 +1,57 @@
+sup3r.preprocessing.batch\_queues.conditional.QueueMom2SepSF
+============================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_queues.conditional
+
+.. autoclass:: QueueMom2SepSF
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~QueueMom2SepSF.check_enhancement_factors
+      ~QueueMom2SepSF.check_features
+      ~QueueMom2SepSF.check_shared_attr
+      ~QueueMom2SepSF.enqueue_batch
+      ~QueueMom2SepSF.enqueue_batches
+      ~QueueMom2SepSF.get_batch
+      ~QueueMom2SepSF.get_container_index
+      ~QueueMom2SepSF.get_queue
+      ~QueueMom2SepSF.get_random_container
+      ~QueueMom2SepSF.log_queue_info
+      ~QueueMom2SepSF.make_mask
+      ~QueueMom2SepSF.make_output
+      ~QueueMom2SepSF.post_init_log
+      ~QueueMom2SepSF.post_proc
+      ~QueueMom2SepSF.preflight
+      ~QueueMom2SepSF.sample_batch
+      ~QueueMom2SepSF.start
+      ~QueueMom2SepSF.stop
+      ~QueueMom2SepSF.transform
+      ~QueueMom2SepSF.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~QueueMom2SepSF.container_weights
+      ~QueueMom2SepSF.data
+      ~QueueMom2SepSF.features
+      ~QueueMom2SepSF.hr_shape
+      ~QueueMom2SepSF.lr_shape
+      ~QueueMom2SepSF.queue_shape
+      ~QueueMom2SepSF.queue_thread
+      ~QueueMom2SepSF.running
+      ~QueueMom2SepSF.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_queues.conditional.rst b/_sources/_autosummary/sup3r.preprocessing.batch_queues.conditional.rst
new file mode 100644
index 000000000..1ed84208e
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_queues.conditional.rst
@@ -0,0 +1,37 @@
+sup3r.preprocessing.batch\_queues.conditional
+=============================================
+
+.. automodule:: sup3r.preprocessing.batch_queues.conditional
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      ConditionalBatchQueue
+      QueueMom1
+      QueueMom1SF
+      QueueMom2
+      QueueMom2SF
+      QueueMom2Sep
+      QueueMom2SepSF
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.rst b/_sources/_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.rst
new file mode 100644
index 000000000..838d5abfa
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.rst
@@ -0,0 +1,58 @@
+sup3r.preprocessing.batch\_queues.dc.BatchQueueDC
+=================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_queues.dc
+
+.. autoclass:: BatchQueueDC
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~BatchQueueDC.check_enhancement_factors
+      ~BatchQueueDC.check_features
+      ~BatchQueueDC.check_shared_attr
+      ~BatchQueueDC.enqueue_batch
+      ~BatchQueueDC.enqueue_batches
+      ~BatchQueueDC.get_batch
+      ~BatchQueueDC.get_container_index
+      ~BatchQueueDC.get_queue
+      ~BatchQueueDC.get_random_container
+      ~BatchQueueDC.log_queue_info
+      ~BatchQueueDC.post_init_log
+      ~BatchQueueDC.post_proc
+      ~BatchQueueDC.preflight
+      ~BatchQueueDC.sample_batch
+      ~BatchQueueDC.start
+      ~BatchQueueDC.stop
+      ~BatchQueueDC.transform
+      ~BatchQueueDC.update_weights
+      ~BatchQueueDC.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~BatchQueueDC.container_weights
+      ~BatchQueueDC.data
+      ~BatchQueueDC.features
+      ~BatchQueueDC.hr_shape
+      ~BatchQueueDC.lr_shape
+      ~BatchQueueDC.queue_shape
+      ~BatchQueueDC.queue_thread
+      ~BatchQueueDC.running
+      ~BatchQueueDC.shape
+      ~BatchQueueDC.spatial_weights
+      ~BatchQueueDC.temporal_weights
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.rst b/_sources/_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.rst
new file mode 100644
index 000000000..14984af94
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.rst
@@ -0,0 +1,58 @@
+sup3r.preprocessing.batch\_queues.dc.ValBatchQueueDC
+====================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_queues.dc
+
+.. autoclass:: ValBatchQueueDC
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~ValBatchQueueDC.check_enhancement_factors
+      ~ValBatchQueueDC.check_features
+      ~ValBatchQueueDC.check_shared_attr
+      ~ValBatchQueueDC.enqueue_batch
+      ~ValBatchQueueDC.enqueue_batches
+      ~ValBatchQueueDC.get_batch
+      ~ValBatchQueueDC.get_container_index
+      ~ValBatchQueueDC.get_queue
+      ~ValBatchQueueDC.get_random_container
+      ~ValBatchQueueDC.log_queue_info
+      ~ValBatchQueueDC.post_init_log
+      ~ValBatchQueueDC.post_proc
+      ~ValBatchQueueDC.preflight
+      ~ValBatchQueueDC.sample_batch
+      ~ValBatchQueueDC.start
+      ~ValBatchQueueDC.stop
+      ~ValBatchQueueDC.transform
+      ~ValBatchQueueDC.update_weights
+      ~ValBatchQueueDC.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~ValBatchQueueDC.container_weights
+      ~ValBatchQueueDC.data
+      ~ValBatchQueueDC.features
+      ~ValBatchQueueDC.hr_shape
+      ~ValBatchQueueDC.lr_shape
+      ~ValBatchQueueDC.queue_shape
+      ~ValBatchQueueDC.queue_thread
+      ~ValBatchQueueDC.running
+      ~ValBatchQueueDC.shape
+      ~ValBatchQueueDC.spatial_weights
+      ~ValBatchQueueDC.temporal_weights
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_queues.dc.rst b/_sources/_autosummary/sup3r.preprocessing.batch_queues.dc.rst
new file mode 100644
index 000000000..9ade0a2af
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_queues.dc.rst
@@ -0,0 +1,32 @@
+sup3r.preprocessing.batch\_queues.dc
+====================================
+
+.. automodule:: sup3r.preprocessing.batch_queues.dc
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      BatchQueueDC
+      ValBatchQueueDC
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.rst b/_sources/_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.rst
new file mode 100644
index 000000000..950f31b79
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.rst
@@ -0,0 +1,55 @@
+sup3r.preprocessing.batch\_queues.dual.DualBatchQueue
+=====================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_queues.dual
+
+.. autoclass:: DualBatchQueue
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~DualBatchQueue.check_enhancement_factors
+      ~DualBatchQueue.check_features
+      ~DualBatchQueue.check_shared_attr
+      ~DualBatchQueue.enqueue_batch
+      ~DualBatchQueue.enqueue_batches
+      ~DualBatchQueue.get_batch
+      ~DualBatchQueue.get_container_index
+      ~DualBatchQueue.get_queue
+      ~DualBatchQueue.get_random_container
+      ~DualBatchQueue.log_queue_info
+      ~DualBatchQueue.post_init_log
+      ~DualBatchQueue.post_proc
+      ~DualBatchQueue.preflight
+      ~DualBatchQueue.sample_batch
+      ~DualBatchQueue.start
+      ~DualBatchQueue.stop
+      ~DualBatchQueue.transform
+      ~DualBatchQueue.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~DualBatchQueue.container_weights
+      ~DualBatchQueue.data
+      ~DualBatchQueue.features
+      ~DualBatchQueue.hr_shape
+      ~DualBatchQueue.lr_shape
+      ~DualBatchQueue.queue_shape
+      ~DualBatchQueue.queue_thread
+      ~DualBatchQueue.running
+      ~DualBatchQueue.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_queues.dual.rst b/_sources/_autosummary/sup3r.preprocessing.batch_queues.dual.rst
new file mode 100644
index 000000000..92cf76197
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_queues.dual.rst
@@ -0,0 +1,31 @@
+sup3r.preprocessing.batch\_queues.dual
+======================================
+
+.. automodule:: sup3r.preprocessing.batch_queues.dual
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      DualBatchQueue
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_queues.rst b/_sources/_autosummary/sup3r.preprocessing.batch_queues.rst
new file mode 100644
index 000000000..550b3e6e9
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_queues.rst
@@ -0,0 +1,35 @@
+sup3r.preprocessing.batch\_queues
+=================================
+
+.. automodule:: sup3r.preprocessing.batch_queues
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
+.. autosummary::
+   :toctree:
+   :template: custom-module-template.rst
+   :recursive:
+
+   abstract
+   base
+   conditional
+   dc
+   dual
+   utilities
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_queues.utilities.rst b/_sources/_autosummary/sup3r.preprocessing.batch_queues.utilities.rst
new file mode 100644
index 000000000..46590bf26
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_queues.utilities.rst
@@ -0,0 +1,32 @@
+sup3r.preprocessing.batch\_queues.utilities
+===========================================
+
+.. automodule:: sup3r.preprocessing.batch_queues.utilities
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+      :toctree:
+   
+      smooth_data
+      spatial_simple_enhancing
+      temporal_simple_enhancing
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_queues.utilities.smooth_data.rst b/_sources/_autosummary/sup3r.preprocessing.batch_queues.utilities.smooth_data.rst
new file mode 100644
index 000000000..91c1afb6c
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_queues.utilities.smooth_data.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.batch\_queues.utilities.smooth\_data
+========================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_queues.utilities
+
+.. autofunction:: smooth_data
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_queues.utilities.spatial_simple_enhancing.rst b/_sources/_autosummary/sup3r.preprocessing.batch_queues.utilities.spatial_simple_enhancing.rst
new file mode 100644
index 000000000..8a4849775
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_queues.utilities.spatial_simple_enhancing.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.batch\_queues.utilities.spatial\_simple\_enhancing
+======================================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_queues.utilities
+
+.. autofunction:: spatial_simple_enhancing
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.batch_queues.utilities.temporal_simple_enhancing.rst b/_sources/_autosummary/sup3r.preprocessing.batch_queues.utilities.temporal_simple_enhancing.rst
new file mode 100644
index 000000000..7288ae19f
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.batch_queues.utilities.temporal_simple_enhancing.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.batch\_queues.utilities.temporal\_simple\_enhancing
+=======================================================================
+
+.. currentmodule:: sup3r.preprocessing.batch_queues.utilities
+
+.. autofunction:: temporal_simple_enhancing
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.cachers.base.Cacher.rst b/_sources/_autosummary/sup3r.preprocessing.cachers.base.Cacher.rst
new file mode 100644
index 000000000..e18a8e010
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.cachers.base.Cacher.rst
@@ -0,0 +1,41 @@
+sup3r.preprocessing.cachers.base.Cacher
+=======================================
+
+.. currentmodule:: sup3r.preprocessing.cachers.base
+
+.. autoclass:: Cacher
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~Cacher.add_coord_meta
+      ~Cacher.cache_data
+      ~Cacher.get_chunk_slices
+      ~Cacher.get_chunksizes
+      ~Cacher.parse_chunks
+      ~Cacher.post_init_log
+      ~Cacher.wrap
+      ~Cacher.write_chunk
+      ~Cacher.write_h5
+      ~Cacher.write_netcdf
+      ~Cacher.write_netcdf_chunks
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~Cacher.data
+      ~Cacher.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.cachers.base.rst b/_sources/_autosummary/sup3r.preprocessing.cachers.base.rst
new file mode 100644
index 000000000..eb291a36a
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.cachers.base.rst
@@ -0,0 +1,31 @@
+sup3r.preprocessing.cachers.base
+================================
+
+.. automodule:: sup3r.preprocessing.cachers.base
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      Cacher
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.cachers.rst b/_sources/_autosummary/sup3r.preprocessing.cachers.rst
new file mode 100644
index 000000000..f04f74a8a
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.cachers.rst
@@ -0,0 +1,31 @@
+sup3r.preprocessing.cachers
+===========================
+
+.. automodule:: sup3r.preprocessing.cachers
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
+.. autosummary::
+   :toctree:
+   :template: custom-module-template.rst
+   :recursive:
+
+   base
+   utilities
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.cachers.utilities.rst b/_sources/_autosummary/sup3r.preprocessing.cachers.utilities.rst
new file mode 100644
index 000000000..0ff78f34e
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.cachers.utilities.rst
@@ -0,0 +1,23 @@
+sup3r.preprocessing.cachers.utilities
+=====================================
+
+.. automodule:: sup3r.preprocessing.cachers.utilities
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.collections.base.Collection.rst b/_sources/_autosummary/sup3r.preprocessing.collections.base.Collection.rst
new file mode 100644
index 000000000..b2323ce6b
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.collections.base.Collection.rst
@@ -0,0 +1,35 @@
+sup3r.preprocessing.collections.base.Collection
+===============================================
+
+.. currentmodule:: sup3r.preprocessing.collections.base
+
+.. autoclass:: Collection
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~Collection.check_shared_attr
+      ~Collection.post_init_log
+      ~Collection.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~Collection.container_weights
+      ~Collection.data
+      ~Collection.features
+      ~Collection.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.collections.base.rst b/_sources/_autosummary/sup3r.preprocessing.collections.base.rst
new file mode 100644
index 000000000..34a2703fb
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.collections.base.rst
@@ -0,0 +1,31 @@
+sup3r.preprocessing.collections.base
+====================================
+
+.. automodule:: sup3r.preprocessing.collections.base
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      Collection
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.collections.rst b/_sources/_autosummary/sup3r.preprocessing.collections.rst
new file mode 100644
index 000000000..c523b1980
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.collections.rst
@@ -0,0 +1,31 @@
+sup3r.preprocessing.collections
+===============================
+
+.. automodule:: sup3r.preprocessing.collections
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
+.. autosummary::
+   :toctree:
+   :template: custom-module-template.rst
+   :recursive:
+
+   base
+   stats
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.collections.stats.StatsCollection.rst b/_sources/_autosummary/sup3r.preprocessing.collections.stats.StatsCollection.rst
new file mode 100644
index 000000000..303019e1f
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.collections.stats.StatsCollection.rst
@@ -0,0 +1,39 @@
+sup3r.preprocessing.collections.stats.StatsCollection
+=====================================================
+
+.. currentmodule:: sup3r.preprocessing.collections.stats
+
+.. autoclass:: StatsCollection
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~StatsCollection.check_shared_attr
+      ~StatsCollection.get_means
+      ~StatsCollection.get_stds
+      ~StatsCollection.normalize
+      ~StatsCollection.post_init_log
+      ~StatsCollection.save_stats
+      ~StatsCollection.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~StatsCollection.container_weights
+      ~StatsCollection.data
+      ~StatsCollection.features
+      ~StatsCollection.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.collections.stats.rst b/_sources/_autosummary/sup3r.preprocessing.collections.stats.rst
new file mode 100644
index 000000000..05744709a
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.collections.stats.rst
@@ -0,0 +1,31 @@
+sup3r.preprocessing.collections.stats
+=====================================
+
+.. automodule:: sup3r.preprocessing.collections.stats
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      StatsCollection
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.data_handlers.exo.ExoData.rst b/_sources/_autosummary/sup3r.preprocessing.data_handlers.exo.ExoData.rst
new file mode 100644
index 000000000..34faf07e5
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.data_handlers.exo.ExoData.rst
@@ -0,0 +1,38 @@
+sup3r.preprocessing.data\_handlers.exo.ExoData
+==============================================
+
+.. currentmodule:: sup3r.preprocessing.data_handlers.exo
+
+.. autoclass:: ExoData
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~ExoData.clear
+      ~ExoData.copy
+      ~ExoData.fromkeys
+      ~ExoData.get
+      ~ExoData.get_chunk
+      ~ExoData.get_combine_type_data
+      ~ExoData.get_model_step_exo
+      ~ExoData.items
+      ~ExoData.keys
+      ~ExoData.pop
+      ~ExoData.popitem
+      ~ExoData.setdefault
+      ~ExoData.split
+      ~ExoData.update
+      ~ExoData.values
+   
+   
+
+   
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.data_handlers.exo.ExoDataHandler.rst b/_sources/_autosummary/sup3r.preprocessing.data_handlers.exo.ExoDataHandler.rst
new file mode 100644
index 000000000..7795e8d3f
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.data_handlers.exo.ExoDataHandler.rst
@@ -0,0 +1,43 @@
+sup3r.preprocessing.data\_handlers.exo.ExoDataHandler
+=====================================================
+
+.. currentmodule:: sup3r.preprocessing.data_handlers.exo
+
+.. autoclass:: ExoDataHandler
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~ExoDataHandler.get_all_step_data
+      ~ExoDataHandler.get_exo_rasterizer
+      ~ExoDataHandler.get_exo_steps
+      ~ExoDataHandler.get_single_step_data
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~ExoDataHandler.cache_dir
+      ~ExoDataHandler.cache_files
+      ~ExoDataHandler.chunks
+      ~ExoDataHandler.distance_upper_bound
+      ~ExoDataHandler.input_handler_kwargs
+      ~ExoDataHandler.input_handler_name
+      ~ExoDataHandler.model
+      ~ExoDataHandler.source_file
+      ~ExoDataHandler.steps
+      ~ExoDataHandler.file_paths
+      ~ExoDataHandler.feature
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.rst b/_sources/_autosummary/sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.rst
new file mode 100644
index 000000000..285338895
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.rst
@@ -0,0 +1,40 @@
+sup3r.preprocessing.data\_handlers.exo.SingleExoDataStep
+========================================================
+
+.. currentmodule:: sup3r.preprocessing.data_handlers.exo
+
+.. autoclass:: SingleExoDataStep
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~SingleExoDataStep.clear
+      ~SingleExoDataStep.copy
+      ~SingleExoDataStep.fromkeys
+      ~SingleExoDataStep.get
+      ~SingleExoDataStep.items
+      ~SingleExoDataStep.keys
+      ~SingleExoDataStep.pop
+      ~SingleExoDataStep.popitem
+      ~SingleExoDataStep.setdefault
+      ~SingleExoDataStep.update
+      ~SingleExoDataStep.values
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~SingleExoDataStep.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.data_handlers.exo.rst b/_sources/_autosummary/sup3r.preprocessing.data_handlers.exo.rst
new file mode 100644
index 000000000..433505754
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.data_handlers.exo.rst
@@ -0,0 +1,33 @@
+sup3r.preprocessing.data\_handlers.exo
+======================================
+
+.. automodule:: sup3r.preprocessing.data_handlers.exo
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      ExoData
+      ExoDataHandler
+      SingleExoDataStep
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.data_handlers.factory.DailyDataHandler.rst b/_sources/_autosummary/sup3r.preprocessing.data_handlers.factory.DailyDataHandler.rst
new file mode 100644
index 000000000..fbdb660f6
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.data_handlers.factory.DailyDataHandler.rst
@@ -0,0 +1,42 @@
+sup3r.preprocessing.data\_handlers.factory.DailyDataHandler
+===========================================================
+
+.. currentmodule:: sup3r.preprocessing.data_handlers.factory
+
+.. autoclass:: DailyDataHandler
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~DailyDataHandler.check_registry
+      ~DailyDataHandler.derive
+      ~DailyDataHandler.do_level_interpolation
+      ~DailyDataHandler.get_inputs
+      ~DailyDataHandler.get_multi_level_data
+      ~DailyDataHandler.get_single_level_data
+      ~DailyDataHandler.has_interp_variables
+      ~DailyDataHandler.map_new_name
+      ~DailyDataHandler.no_overlap
+      ~DailyDataHandler.post_init_log
+      ~DailyDataHandler.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~DailyDataHandler.FEATURE_REGISTRY
+      ~DailyDataHandler.data
+      ~DailyDataHandler.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandler.rst b/_sources/_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandler.rst
new file mode 100644
index 000000000..4fa7e8ca8
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandler.rst
@@ -0,0 +1,42 @@
+sup3r.preprocessing.data\_handlers.factory.DataHandler
+======================================================
+
+.. currentmodule:: sup3r.preprocessing.data_handlers.factory
+
+.. autoclass:: DataHandler
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~DataHandler.check_registry
+      ~DataHandler.derive
+      ~DataHandler.do_level_interpolation
+      ~DataHandler.get_inputs
+      ~DataHandler.get_multi_level_data
+      ~DataHandler.get_single_level_data
+      ~DataHandler.has_interp_variables
+      ~DataHandler.map_new_name
+      ~DataHandler.no_overlap
+      ~DataHandler.post_init_log
+      ~DataHandler.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~DataHandler.FEATURE_REGISTRY
+      ~DataHandler.data
+      ~DataHandler.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerFactory.rst b/_sources/_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerFactory.rst
new file mode 100644
index 000000000..b8cd282a9
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerFactory.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.data\_handlers.factory.DataHandlerFactory
+=============================================================
+
+.. currentmodule:: sup3r.preprocessing.data_handlers.factory
+
+.. autofunction:: DataHandlerFactory
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.rst b/_sources/_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.rst
new file mode 100644
index 000000000..3bac9ba36
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.rst
@@ -0,0 +1,42 @@
+sup3r.preprocessing.data\_handlers.factory.DataHandlerH5SolarCC
+===============================================================
+
+.. currentmodule:: sup3r.preprocessing.data_handlers.factory
+
+.. autoclass:: DataHandlerH5SolarCC
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~DataHandlerH5SolarCC.check_registry
+      ~DataHandlerH5SolarCC.derive
+      ~DataHandlerH5SolarCC.do_level_interpolation
+      ~DataHandlerH5SolarCC.get_inputs
+      ~DataHandlerH5SolarCC.get_multi_level_data
+      ~DataHandlerH5SolarCC.get_single_level_data
+      ~DataHandlerH5SolarCC.has_interp_variables
+      ~DataHandlerH5SolarCC.map_new_name
+      ~DataHandlerH5SolarCC.no_overlap
+      ~DataHandlerH5SolarCC.post_init_log
+      ~DataHandlerH5SolarCC.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~DataHandlerH5SolarCC.FEATURE_REGISTRY
+      ~DataHandlerH5SolarCC.data
+      ~DataHandlerH5SolarCC.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.rst b/_sources/_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.rst
new file mode 100644
index 000000000..f6a908c6e
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.rst
@@ -0,0 +1,42 @@
+sup3r.preprocessing.data\_handlers.factory.DataHandlerH5WindCC
+==============================================================
+
+.. currentmodule:: sup3r.preprocessing.data_handlers.factory
+
+.. autoclass:: DataHandlerH5WindCC
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~DataHandlerH5WindCC.check_registry
+      ~DataHandlerH5WindCC.derive
+      ~DataHandlerH5WindCC.do_level_interpolation
+      ~DataHandlerH5WindCC.get_inputs
+      ~DataHandlerH5WindCC.get_multi_level_data
+      ~DataHandlerH5WindCC.get_single_level_data
+      ~DataHandlerH5WindCC.has_interp_variables
+      ~DataHandlerH5WindCC.map_new_name
+      ~DataHandlerH5WindCC.no_overlap
+      ~DataHandlerH5WindCC.post_init_log
+      ~DataHandlerH5WindCC.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~DataHandlerH5WindCC.FEATURE_REGISTRY
+      ~DataHandlerH5WindCC.data
+      ~DataHandlerH5WindCC.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.data_handlers.factory.rst b/_sources/_autosummary/sup3r.preprocessing.data_handlers.factory.rst
new file mode 100644
index 000000000..c45985d42
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.data_handlers.factory.rst
@@ -0,0 +1,41 @@
+sup3r.preprocessing.data\_handlers.factory
+==========================================
+
+.. automodule:: sup3r.preprocessing.data_handlers.factory
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+      :toctree:
+   
+      DataHandlerFactory
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      DailyDataHandler
+      DataHandler
+      DataHandlerH5SolarCC
+      DataHandlerH5WindCC
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.rst b/_sources/_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.rst
new file mode 100644
index 000000000..a0fd26e74
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.rst
@@ -0,0 +1,47 @@
+sup3r.preprocessing.data\_handlers.nc\_cc.DataHandlerNCforCC
+============================================================
+
+.. currentmodule:: sup3r.preprocessing.data_handlers.nc_cc
+
+.. autoclass:: DataHandlerNCforCC
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~DataHandlerNCforCC.check_registry
+      ~DataHandlerNCforCC.derive
+      ~DataHandlerNCforCC.do_level_interpolation
+      ~DataHandlerNCforCC.get_clearsky_ghi
+      ~DataHandlerNCforCC.get_inputs
+      ~DataHandlerNCforCC.get_multi_level_data
+      ~DataHandlerNCforCC.get_single_level_data
+      ~DataHandlerNCforCC.get_time_slice
+      ~DataHandlerNCforCC.has_interp_variables
+      ~DataHandlerNCforCC.map_new_name
+      ~DataHandlerNCforCC.no_overlap
+      ~DataHandlerNCforCC.post_init_log
+      ~DataHandlerNCforCC.run_input_checks
+      ~DataHandlerNCforCC.run_wrap_checks
+      ~DataHandlerNCforCC.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~DataHandlerNCforCC.BASE_LOADER
+      ~DataHandlerNCforCC.FEATURE_REGISTRY
+      ~DataHandlerNCforCC.data
+      ~DataHandlerNCforCC.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.rst b/_sources/_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.rst
new file mode 100644
index 000000000..3df26cf13
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.rst
@@ -0,0 +1,47 @@
+sup3r.preprocessing.data\_handlers.nc\_cc.DataHandlerNCforCCwithPowerLaw
+========================================================================
+
+.. currentmodule:: sup3r.preprocessing.data_handlers.nc_cc
+
+.. autoclass:: DataHandlerNCforCCwithPowerLaw
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~DataHandlerNCforCCwithPowerLaw.check_registry
+      ~DataHandlerNCforCCwithPowerLaw.derive
+      ~DataHandlerNCforCCwithPowerLaw.do_level_interpolation
+      ~DataHandlerNCforCCwithPowerLaw.get_clearsky_ghi
+      ~DataHandlerNCforCCwithPowerLaw.get_inputs
+      ~DataHandlerNCforCCwithPowerLaw.get_multi_level_data
+      ~DataHandlerNCforCCwithPowerLaw.get_single_level_data
+      ~DataHandlerNCforCCwithPowerLaw.get_time_slice
+      ~DataHandlerNCforCCwithPowerLaw.has_interp_variables
+      ~DataHandlerNCforCCwithPowerLaw.map_new_name
+      ~DataHandlerNCforCCwithPowerLaw.no_overlap
+      ~DataHandlerNCforCCwithPowerLaw.post_init_log
+      ~DataHandlerNCforCCwithPowerLaw.run_input_checks
+      ~DataHandlerNCforCCwithPowerLaw.run_wrap_checks
+      ~DataHandlerNCforCCwithPowerLaw.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~DataHandlerNCforCCwithPowerLaw.BASE_LOADER
+      ~DataHandlerNCforCCwithPowerLaw.FEATURE_REGISTRY
+      ~DataHandlerNCforCCwithPowerLaw.data
+      ~DataHandlerNCforCCwithPowerLaw.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.data_handlers.nc_cc.rst b/_sources/_autosummary/sup3r.preprocessing.data_handlers.nc_cc.rst
new file mode 100644
index 000000000..4bee00052
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.data_handlers.nc_cc.rst
@@ -0,0 +1,32 @@
+sup3r.preprocessing.data\_handlers.nc\_cc
+=========================================
+
+.. automodule:: sup3r.preprocessing.data_handlers.nc_cc
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      DataHandlerNCforCC
+      DataHandlerNCforCCwithPowerLaw
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.data_handlers.rst b/_sources/_autosummary/sup3r.preprocessing.data_handlers.rst
new file mode 100644
index 000000000..fa6c71e75
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.data_handlers.rst
@@ -0,0 +1,32 @@
+sup3r.preprocessing.data\_handlers
+==================================
+
+.. automodule:: sup3r.preprocessing.data_handlers
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
+.. autosummary::
+   :toctree:
+   :template: custom-module-template.rst
+   :recursive:
+
+   exo
+   factory
+   nc_cc
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.rst
new file mode 100644
index 000000000..cd14e67f5
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.rst
@@ -0,0 +1,42 @@
+sup3r.preprocessing.derivers.base.BaseDeriver
+=============================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.base
+
+.. autoclass:: BaseDeriver
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~BaseDeriver.check_registry
+      ~BaseDeriver.derive
+      ~BaseDeriver.do_level_interpolation
+      ~BaseDeriver.get_inputs
+      ~BaseDeriver.get_multi_level_data
+      ~BaseDeriver.get_single_level_data
+      ~BaseDeriver.has_interp_variables
+      ~BaseDeriver.map_new_name
+      ~BaseDeriver.no_overlap
+      ~BaseDeriver.post_init_log
+      ~BaseDeriver.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~BaseDeriver.FEATURE_REGISTRY
+      ~BaseDeriver.data
+      ~BaseDeriver.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.base.Deriver.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.base.Deriver.rst
new file mode 100644
index 000000000..c902ddab3
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.base.Deriver.rst
@@ -0,0 +1,42 @@
+sup3r.preprocessing.derivers.base.Deriver
+=========================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.base
+
+.. autoclass:: Deriver
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~Deriver.check_registry
+      ~Deriver.derive
+      ~Deriver.do_level_interpolation
+      ~Deriver.get_inputs
+      ~Deriver.get_multi_level_data
+      ~Deriver.get_single_level_data
+      ~Deriver.has_interp_variables
+      ~Deriver.map_new_name
+      ~Deriver.no_overlap
+      ~Deriver.post_init_log
+      ~Deriver.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~Deriver.FEATURE_REGISTRY
+      ~Deriver.data
+      ~Deriver.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.base.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.base.rst
new file mode 100644
index 000000000..be05bf6ac
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.base.rst
@@ -0,0 +1,32 @@
+sup3r.preprocessing.derivers.base
+=================================
+
+.. automodule:: sup3r.preprocessing.derivers.base
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      BaseDeriver
+      Deriver
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.methods.ClearSkyRatio.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.ClearSkyRatio.rst
new file mode 100644
index 000000000..694c9b4a1
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.ClearSkyRatio.rst
@@ -0,0 +1,30 @@
+sup3r.preprocessing.derivers.methods.ClearSkyRatio
+==================================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.methods
+
+.. autoclass:: ClearSkyRatio
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~ClearSkyRatio.compute
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~ClearSkyRatio.inputs
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.methods.ClearSkyRatioCC.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.ClearSkyRatioCC.rst
new file mode 100644
index 000000000..4144f2d75
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.ClearSkyRatioCC.rst
@@ -0,0 +1,30 @@
+sup3r.preprocessing.derivers.methods.ClearSkyRatioCC
+====================================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.methods
+
+.. autoclass:: ClearSkyRatioCC
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~ClearSkyRatioCC.compute
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~ClearSkyRatioCC.inputs
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.methods.CloudMask.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.CloudMask.rst
new file mode 100644
index 000000000..305eb3716
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.CloudMask.rst
@@ -0,0 +1,30 @@
+sup3r.preprocessing.derivers.methods.CloudMask
+==============================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.methods
+
+.. autoclass:: CloudMask
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~CloudMask.compute
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~CloudMask.inputs
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.methods.DerivedFeature.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.DerivedFeature.rst
new file mode 100644
index 000000000..62e78ebce
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.DerivedFeature.rst
@@ -0,0 +1,30 @@
+sup3r.preprocessing.derivers.methods.DerivedFeature
+===================================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.methods
+
+.. autoclass:: DerivedFeature
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~DerivedFeature.compute
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~DerivedFeature.inputs
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.methods.PressureWRF.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.PressureWRF.rst
new file mode 100644
index 000000000..2d2bda0df
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.PressureWRF.rst
@@ -0,0 +1,30 @@
+sup3r.preprocessing.derivers.methods.PressureWRF
+================================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.methods
+
+.. autoclass:: PressureWRF
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~PressureWRF.compute
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~PressureWRF.inputs
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.methods.SurfaceRH.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.SurfaceRH.rst
new file mode 100644
index 000000000..eaae3af17
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.SurfaceRH.rst
@@ -0,0 +1,30 @@
+sup3r.preprocessing.derivers.methods.SurfaceRH
+==============================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.methods
+
+.. autoclass:: SurfaceRH
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~SurfaceRH.compute
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~SurfaceRH.inputs
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.methods.Sza.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.Sza.rst
new file mode 100644
index 000000000..5e2c84beb
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.Sza.rst
@@ -0,0 +1,30 @@
+sup3r.preprocessing.derivers.methods.Sza
+========================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.methods
+
+.. autoclass:: Sza
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~Sza.compute
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~Sza.inputs
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.methods.Tas.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.Tas.rst
new file mode 100644
index 000000000..4b2369faa
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.Tas.rst
@@ -0,0 +1,30 @@
+sup3r.preprocessing.derivers.methods.Tas
+========================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.methods
+
+.. autoclass:: Tas
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~Tas.compute
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~Tas.inputs
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.methods.TasMax.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.TasMax.rst
new file mode 100644
index 000000000..7dc2d59cc
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.TasMax.rst
@@ -0,0 +1,30 @@
+sup3r.preprocessing.derivers.methods.TasMax
+===========================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.methods
+
+.. autoclass:: TasMax
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~TasMax.compute
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~TasMax.inputs
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.methods.TasMin.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.TasMin.rst
new file mode 100644
index 000000000..11c6b0ce9
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.TasMin.rst
@@ -0,0 +1,30 @@
+sup3r.preprocessing.derivers.methods.TasMin
+===========================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.methods
+
+.. autoclass:: TasMin
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~TasMin.compute
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~TasMin.inputs
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.methods.TempNCforCC.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.TempNCforCC.rst
new file mode 100644
index 000000000..9b19c675d
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.TempNCforCC.rst
@@ -0,0 +1,30 @@
+sup3r.preprocessing.derivers.methods.TempNCforCC
+================================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.methods
+
+.. autoclass:: TempNCforCC
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~TempNCforCC.compute
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~TempNCforCC.inputs
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.methods.USolar.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.USolar.rst
new file mode 100644
index 000000000..d881c2814
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.USolar.rst
@@ -0,0 +1,30 @@
+sup3r.preprocessing.derivers.methods.USolar
+===========================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.methods
+
+.. autoclass:: USolar
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~USolar.compute
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~USolar.inputs
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.methods.UWind.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.UWind.rst
new file mode 100644
index 000000000..b942ff4ad
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.UWind.rst
@@ -0,0 +1,30 @@
+sup3r.preprocessing.derivers.methods.UWind
+==========================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.methods
+
+.. autoclass:: UWind
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~UWind.compute
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~UWind.inputs
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.methods.UWindPowerLaw.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.UWindPowerLaw.rst
new file mode 100644
index 000000000..bd3f0fcdc
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.UWindPowerLaw.rst
@@ -0,0 +1,32 @@
+sup3r.preprocessing.derivers.methods.UWindPowerLaw
+==================================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.methods
+
+.. autoclass:: UWindPowerLaw
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~UWindPowerLaw.compute
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~UWindPowerLaw.ALPHA
+      ~UWindPowerLaw.NEAR_SFC_HEIGHT
+      ~UWindPowerLaw.inputs
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.methods.VSolar.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.VSolar.rst
new file mode 100644
index 000000000..418319e89
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.VSolar.rst
@@ -0,0 +1,30 @@
+sup3r.preprocessing.derivers.methods.VSolar
+===========================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.methods
+
+.. autoclass:: VSolar
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~VSolar.compute
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~VSolar.inputs
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.methods.VWind.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.VWind.rst
new file mode 100644
index 000000000..c8dc6fd88
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.VWind.rst
@@ -0,0 +1,30 @@
+sup3r.preprocessing.derivers.methods.VWind
+==========================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.methods
+
+.. autoclass:: VWind
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~VWind.compute
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~VWind.inputs
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.methods.VWindPowerLaw.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.VWindPowerLaw.rst
new file mode 100644
index 000000000..438ecffdf
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.VWindPowerLaw.rst
@@ -0,0 +1,32 @@
+sup3r.preprocessing.derivers.methods.VWindPowerLaw
+==================================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.methods
+
+.. autoclass:: VWindPowerLaw
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~VWindPowerLaw.compute
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~VWindPowerLaw.ALPHA
+      ~VWindPowerLaw.NEAR_SFC_HEIGHT
+      ~VWindPowerLaw.inputs
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.methods.Winddirection.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.Winddirection.rst
new file mode 100644
index 000000000..277a7395f
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.Winddirection.rst
@@ -0,0 +1,30 @@
+sup3r.preprocessing.derivers.methods.Winddirection
+==================================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.methods
+
+.. autoclass:: Winddirection
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~Winddirection.compute
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~Winddirection.inputs
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.methods.Windspeed.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.Windspeed.rst
new file mode 100644
index 000000000..6fab55627
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.Windspeed.rst
@@ -0,0 +1,30 @@
+sup3r.preprocessing.derivers.methods.Windspeed
+==============================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.methods
+
+.. autoclass:: Windspeed
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~Windspeed.compute
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~Windspeed.inputs
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.methods.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.rst
new file mode 100644
index 000000000..655870662
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.methods.rst
@@ -0,0 +1,49 @@
+sup3r.preprocessing.derivers.methods
+====================================
+
+.. automodule:: sup3r.preprocessing.derivers.methods
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      ClearSkyRatio
+      ClearSkyRatioCC
+      CloudMask
+      DerivedFeature
+      PressureWRF
+      SurfaceRH
+      Sza
+      Tas
+      TasMax
+      TasMin
+      TempNCforCC
+      USolar
+      UWind
+      UWindPowerLaw
+      VSolar
+      VWind
+      VWindPowerLaw
+      Winddirection
+      Windspeed
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.rst
new file mode 100644
index 000000000..2f4321477
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.rst
@@ -0,0 +1,32 @@
+sup3r.preprocessing.derivers
+============================
+
+.. automodule:: sup3r.preprocessing.derivers
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
+.. autosummary::
+   :toctree:
+   :template: custom-module-template.rst
+   :recursive:
+
+   base
+   methods
+   utilities
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.utilities.SolarZenith.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.utilities.SolarZenith.rst
new file mode 100644
index 000000000..a589f4722
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.utilities.SolarZenith.rst
@@ -0,0 +1,24 @@
+sup3r.preprocessing.derivers.utilities.SolarZenith
+==================================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.utilities
+
+.. autoclass:: SolarZenith
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~SolarZenith.get_zenith
+   
+   
+
+   
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.utilities.invert_uv.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.utilities.invert_uv.rst
new file mode 100644
index 000000000..4c6d520c7
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.utilities.invert_uv.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.derivers.utilities.invert\_uv
+=================================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.utilities
+
+.. autofunction:: invert_uv
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.utilities.parse_feature.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.utilities.parse_feature.rst
new file mode 100644
index 000000000..a85dabea1
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.utilities.parse_feature.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.derivers.utilities.parse\_feature
+=====================================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.utilities
+
+.. autofunction:: parse_feature
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.utilities.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.utilities.rst
new file mode 100644
index 000000000..d292ea226
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.utilities.rst
@@ -0,0 +1,41 @@
+sup3r.preprocessing.derivers.utilities
+======================================
+
+.. automodule:: sup3r.preprocessing.derivers.utilities
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+      :toctree:
+   
+      invert_uv
+      parse_feature
+      transform_rotate_wind
+      windspeed_log_law
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      SolarZenith
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.utilities.transform_rotate_wind.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.utilities.transform_rotate_wind.rst
new file mode 100644
index 000000000..1a82d7538
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.utilities.transform_rotate_wind.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.derivers.utilities.transform\_rotate\_wind
+==============================================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.utilities
+
+.. autofunction:: transform_rotate_wind
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.derivers.utilities.windspeed_log_law.rst b/_sources/_autosummary/sup3r.preprocessing.derivers.utilities.windspeed_log_law.rst
new file mode 100644
index 000000000..e27b6566e
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.derivers.utilities.windspeed_log_law.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.derivers.utilities.windspeed\_log\_law
+==========================================================
+
+.. currentmodule:: sup3r.preprocessing.derivers.utilities
+
+.. autofunction:: windspeed_log_law
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.loaders.Loader.rst b/_sources/_autosummary/sup3r.preprocessing.loaders.Loader.rst
new file mode 100644
index 000000000..a76232d59
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.loaders.Loader.rst
@@ -0,0 +1,29 @@
+sup3r.preprocessing.loaders.Loader
+==================================
+
+.. currentmodule:: sup3r.preprocessing.loaders
+
+.. autoclass:: Loader
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~Loader.TypeSpecificClasses
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.loaders.base.BaseLoader.rst b/_sources/_autosummary/sup3r.preprocessing.loaders.base.BaseLoader.rst
new file mode 100644
index 000000000..f1ba40b9f
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.loaders.base.BaseLoader.rst
@@ -0,0 +1,34 @@
+sup3r.preprocessing.loaders.base.BaseLoader
+===========================================
+
+.. currentmodule:: sup3r.preprocessing.loaders.base
+
+.. autoclass:: BaseLoader
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~BaseLoader.BASE_LOADER
+      ~BaseLoader.post_init_log
+      ~BaseLoader.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~BaseLoader.data
+      ~BaseLoader.file_paths
+      ~BaseLoader.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.loaders.base.rst b/_sources/_autosummary/sup3r.preprocessing.loaders.base.rst
new file mode 100644
index 000000000..d328424e1
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.loaders.base.rst
@@ -0,0 +1,31 @@
+sup3r.preprocessing.loaders.base
+================================
+
+.. automodule:: sup3r.preprocessing.loaders.base
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      BaseLoader
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.loaders.h5.LoaderH5.rst b/_sources/_autosummary/sup3r.preprocessing.loaders.h5.LoaderH5.rst
new file mode 100644
index 000000000..3a9fb779e
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.loaders.h5.LoaderH5.rst
@@ -0,0 +1,34 @@
+sup3r.preprocessing.loaders.h5.LoaderH5
+=======================================
+
+.. currentmodule:: sup3r.preprocessing.loaders.h5
+
+.. autoclass:: LoaderH5
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~LoaderH5.post_init_log
+      ~LoaderH5.scale_factor
+      ~LoaderH5.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~LoaderH5.data
+      ~LoaderH5.file_paths
+      ~LoaderH5.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.loaders.h5.rst b/_sources/_autosummary/sup3r.preprocessing.loaders.h5.rst
new file mode 100644
index 000000000..d63e5dfa5
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.loaders.h5.rst
@@ -0,0 +1,31 @@
+sup3r.preprocessing.loaders.h5
+==============================
+
+.. automodule:: sup3r.preprocessing.loaders.h5
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      LoaderH5
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.loaders.nc.LoaderNC.rst b/_sources/_autosummary/sup3r.preprocessing.loaders.nc.LoaderNC.rst
new file mode 100644
index 000000000..d90c80ef8
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.loaders.nc.LoaderNC.rst
@@ -0,0 +1,36 @@
+sup3r.preprocessing.loaders.nc.LoaderNC
+=======================================
+
+.. currentmodule:: sup3r.preprocessing.loaders.nc
+
+.. autoclass:: LoaderNC
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~LoaderNC.BASE_LOADER
+      ~LoaderNC.get_coords
+      ~LoaderNC.get_dims
+      ~LoaderNC.post_init_log
+      ~LoaderNC.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~LoaderNC.data
+      ~LoaderNC.file_paths
+      ~LoaderNC.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.loaders.nc.rst b/_sources/_autosummary/sup3r.preprocessing.loaders.nc.rst
new file mode 100644
index 000000000..bf7d08f85
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.loaders.nc.rst
@@ -0,0 +1,31 @@
+sup3r.preprocessing.loaders.nc
+==============================
+
+.. automodule:: sup3r.preprocessing.loaders.nc
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      LoaderNC
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.loaders.rst b/_sources/_autosummary/sup3r.preprocessing.loaders.rst
new file mode 100644
index 000000000..78537abea
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.loaders.rst
@@ -0,0 +1,41 @@
+sup3r.preprocessing.loaders
+===========================
+
+.. automodule:: sup3r.preprocessing.loaders
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      Loader
+   
+   
+
+   
+   
+   
+
+
+
+.. autosummary::
+   :toctree:
+   :template: custom-module-template.rst
+   :recursive:
+
+   base
+   h5
+   nc
+   utilities
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.loaders.utilities.rst b/_sources/_autosummary/sup3r.preprocessing.loaders.utilities.rst
new file mode 100644
index 000000000..e5b9b00ef
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.loaders.utilities.rst
@@ -0,0 +1,31 @@
+sup3r.preprocessing.loaders.utilities
+=====================================
+
+.. automodule:: sup3r.preprocessing.loaders.utilities
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+      :toctree:
+   
+      standardize_names
+      standardize_values
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.loaders.utilities.standardize_names.rst b/_sources/_autosummary/sup3r.preprocessing.loaders.utilities.standardize_names.rst
new file mode 100644
index 000000000..c44a12226
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.loaders.utilities.standardize_names.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.loaders.utilities.standardize\_names
+========================================================
+
+.. currentmodule:: sup3r.preprocessing.loaders.utilities
+
+.. autofunction:: standardize_names
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.loaders.utilities.standardize_values.rst b/_sources/_autosummary/sup3r.preprocessing.loaders.utilities.standardize_values.rst
new file mode 100644
index 000000000..bdba21c5c
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.loaders.utilities.standardize_values.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.loaders.utilities.standardize\_values
+=========================================================
+
+.. currentmodule:: sup3r.preprocessing.loaders.utilities
+
+.. autofunction:: standardize_values
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.names.Dimension.rst b/_sources/_autosummary/sup3r.preprocessing.names.Dimension.rst
new file mode 100644
index 000000000..e35bf3b92
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.names.Dimension.rst
@@ -0,0 +1,98 @@
+sup3r.preprocessing.names.Dimension
+===================================
+
+.. currentmodule:: sup3r.preprocessing.names
+
+.. autoclass:: Dimension
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~Dimension.encode
+      ~Dimension.replace
+      ~Dimension.split
+      ~Dimension.rsplit
+      ~Dimension.join
+      ~Dimension.capitalize
+      ~Dimension.casefold
+      ~Dimension.title
+      ~Dimension.center
+      ~Dimension.count
+      ~Dimension.expandtabs
+      ~Dimension.find
+      ~Dimension.partition
+      ~Dimension.index
+      ~Dimension.ljust
+      ~Dimension.lower
+      ~Dimension.lstrip
+      ~Dimension.rfind
+      ~Dimension.rindex
+      ~Dimension.rjust
+      ~Dimension.rstrip
+      ~Dimension.rpartition
+      ~Dimension.splitlines
+      ~Dimension.strip
+      ~Dimension.swapcase
+      ~Dimension.translate
+      ~Dimension.upper
+      ~Dimension.startswith
+      ~Dimension.endswith
+      ~Dimension.removeprefix
+      ~Dimension.removesuffix
+      ~Dimension.isascii
+      ~Dimension.islower
+      ~Dimension.isupper
+      ~Dimension.istitle
+      ~Dimension.isspace
+      ~Dimension.isdecimal
+      ~Dimension.isdigit
+      ~Dimension.isnumeric
+      ~Dimension.isalpha
+      ~Dimension.isalnum
+      ~Dimension.isidentifier
+      ~Dimension.isprintable
+      ~Dimension.zfill
+      ~Dimension.format
+      ~Dimension.format_map
+      ~Dimension.maketrans
+      ~Dimension.order
+      ~Dimension.flat_2d
+      ~Dimension.dims_2d
+      ~Dimension.coords_2d
+      ~Dimension.coords_3d
+      ~Dimension.dims_3d
+      ~Dimension.dims_4d
+      ~Dimension.coords_4d_pres
+      ~Dimension.coords_4d
+      ~Dimension.dims_4d_pres
+      ~Dimension.dims_3d_bc
+      ~Dimension.dims_4d_bc
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~Dimension.FLATTENED_SPATIAL
+      ~Dimension.SOUTH_NORTH
+      ~Dimension.WEST_EAST
+      ~Dimension.TIME
+      ~Dimension.PRESSURE_LEVEL
+      ~Dimension.HEIGHT
+      ~Dimension.VARIABLE
+      ~Dimension.LATITUDE
+      ~Dimension.LONGITUDE
+      ~Dimension.QUANTILE
+      ~Dimension.GLOBAL_TIME
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.names.rst b/_sources/_autosummary/sup3r.preprocessing.names.rst
new file mode 100644
index 000000000..5be959298
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.names.rst
@@ -0,0 +1,31 @@
+sup3r.preprocessing.names
+=========================
+
+.. automodule:: sup3r.preprocessing.names
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      Dimension
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.rasterizers.base.BaseRasterizer.rst b/_sources/_autosummary/sup3r.preprocessing.rasterizers.base.BaseRasterizer.rst
new file mode 100644
index 000000000..b1595a601
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.rasterizers.base.BaseRasterizer.rst
@@ -0,0 +1,41 @@
+sup3r.preprocessing.rasterizers.base.BaseRasterizer
+===================================================
+
+.. currentmodule:: sup3r.preprocessing.rasterizers.base
+
+.. autoclass:: BaseRasterizer
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~BaseRasterizer.check_target_and_shape
+      ~BaseRasterizer.get_closest_row_col
+      ~BaseRasterizer.get_lat_lon
+      ~BaseRasterizer.get_raster_index
+      ~BaseRasterizer.post_init_log
+      ~BaseRasterizer.rasterize_data
+      ~BaseRasterizer.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~BaseRasterizer.data
+      ~BaseRasterizer.grid_shape
+      ~BaseRasterizer.lat_lon
+      ~BaseRasterizer.shape
+      ~BaseRasterizer.target
+      ~BaseRasterizer.time_slice
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.rasterizers.base.rst b/_sources/_autosummary/sup3r.preprocessing.rasterizers.base.rst
new file mode 100644
index 000000000..239726954
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.rasterizers.base.rst
@@ -0,0 +1,31 @@
+sup3r.preprocessing.rasterizers.base
+====================================
+
+.. automodule:: sup3r.preprocessing.rasterizers.base
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      BaseRasterizer
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.rasterizers.dual.DualRasterizer.rst b/_sources/_autosummary/sup3r.preprocessing.rasterizers.dual.DualRasterizer.rst
new file mode 100644
index 000000000..f09b79f52
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.rasterizers.dual.DualRasterizer.rst
@@ -0,0 +1,36 @@
+sup3r.preprocessing.rasterizers.dual.DualRasterizer
+===================================================
+
+.. currentmodule:: sup3r.preprocessing.rasterizers.dual
+
+.. autoclass:: DualRasterizer
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~DualRasterizer.check_regridded_lr_data
+      ~DualRasterizer.get_regridder
+      ~DualRasterizer.post_init_log
+      ~DualRasterizer.update_hr_data
+      ~DualRasterizer.update_lr_data
+      ~DualRasterizer.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~DualRasterizer.data
+      ~DualRasterizer.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.rasterizers.dual.rst b/_sources/_autosummary/sup3r.preprocessing.rasterizers.dual.rst
new file mode 100644
index 000000000..0b49adc44
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.rasterizers.dual.rst
@@ -0,0 +1,31 @@
+sup3r.preprocessing.rasterizers.dual
+====================================
+
+.. automodule:: sup3r.preprocessing.rasterizers.dual
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      DualRasterizer
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.rst b/_sources/_autosummary/sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.rst
new file mode 100644
index 000000000..8cfc6c01f
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.rst
@@ -0,0 +1,54 @@
+sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer
+=====================================================
+
+.. currentmodule:: sup3r.preprocessing.rasterizers.exo
+
+.. autoclass:: BaseExoRasterizer
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~BaseExoRasterizer.get_data
+      ~BaseExoRasterizer.get_distance_upper_bound
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~BaseExoRasterizer.cache_dir
+      ~BaseExoRasterizer.cache_file
+      ~BaseExoRasterizer.chunks
+      ~BaseExoRasterizer.coords
+      ~BaseExoRasterizer.data
+      ~BaseExoRasterizer.distance_upper_bound
+      ~BaseExoRasterizer.feature
+      ~BaseExoRasterizer.file_paths
+      ~BaseExoRasterizer.hr_lat_lon
+      ~BaseExoRasterizer.hr_shape
+      ~BaseExoRasterizer.hr_time_index
+      ~BaseExoRasterizer.input_handler_kwargs
+      ~BaseExoRasterizer.input_handler_name
+      ~BaseExoRasterizer.lr_shape
+      ~BaseExoRasterizer.max_workers
+      ~BaseExoRasterizer.nn
+      ~BaseExoRasterizer.s_enhance
+      ~BaseExoRasterizer.source_data
+      ~BaseExoRasterizer.source_file
+      ~BaseExoRasterizer.source_handler
+      ~BaseExoRasterizer.source_lat_lon
+      ~BaseExoRasterizer.t_enhance
+      ~BaseExoRasterizer.tree
+      ~BaseExoRasterizer.verbose
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizer.rst b/_sources/_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizer.rst
new file mode 100644
index 000000000..d5d92b2e5
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizer.rst
@@ -0,0 +1,55 @@
+sup3r.preprocessing.rasterizers.exo.ExoRasterizer
+=================================================
+
+.. currentmodule:: sup3r.preprocessing.rasterizers.exo
+
+.. autoclass:: ExoRasterizer
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~ExoRasterizer.get_data
+      ~ExoRasterizer.get_distance_upper_bound
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~ExoRasterizer.TypeSpecificClasses
+      ~ExoRasterizer.cache_dir
+      ~ExoRasterizer.cache_file
+      ~ExoRasterizer.chunks
+      ~ExoRasterizer.coords
+      ~ExoRasterizer.data
+      ~ExoRasterizer.distance_upper_bound
+      ~ExoRasterizer.feature
+      ~ExoRasterizer.file_paths
+      ~ExoRasterizer.hr_lat_lon
+      ~ExoRasterizer.hr_shape
+      ~ExoRasterizer.hr_time_index
+      ~ExoRasterizer.input_handler_kwargs
+      ~ExoRasterizer.input_handler_name
+      ~ExoRasterizer.lr_shape
+      ~ExoRasterizer.max_workers
+      ~ExoRasterizer.nn
+      ~ExoRasterizer.s_enhance
+      ~ExoRasterizer.source_data
+      ~ExoRasterizer.source_file
+      ~ExoRasterizer.source_handler
+      ~ExoRasterizer.source_lat_lon
+      ~ExoRasterizer.t_enhance
+      ~ExoRasterizer.tree
+      ~ExoRasterizer.verbose
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.rst b/_sources/_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.rst
new file mode 100644
index 000000000..af870ca57
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.rst
@@ -0,0 +1,54 @@
+sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5
+===================================================
+
+.. currentmodule:: sup3r.preprocessing.rasterizers.exo
+
+.. autoclass:: ExoRasterizerH5
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~ExoRasterizerH5.get_data
+      ~ExoRasterizerH5.get_distance_upper_bound
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~ExoRasterizerH5.cache_dir
+      ~ExoRasterizerH5.cache_file
+      ~ExoRasterizerH5.chunks
+      ~ExoRasterizerH5.coords
+      ~ExoRasterizerH5.data
+      ~ExoRasterizerH5.distance_upper_bound
+      ~ExoRasterizerH5.feature
+      ~ExoRasterizerH5.file_paths
+      ~ExoRasterizerH5.hr_lat_lon
+      ~ExoRasterizerH5.hr_shape
+      ~ExoRasterizerH5.hr_time_index
+      ~ExoRasterizerH5.input_handler_kwargs
+      ~ExoRasterizerH5.input_handler_name
+      ~ExoRasterizerH5.lr_shape
+      ~ExoRasterizerH5.max_workers
+      ~ExoRasterizerH5.nn
+      ~ExoRasterizerH5.s_enhance
+      ~ExoRasterizerH5.source_data
+      ~ExoRasterizerH5.source_file
+      ~ExoRasterizerH5.source_handler
+      ~ExoRasterizerH5.source_lat_lon
+      ~ExoRasterizerH5.t_enhance
+      ~ExoRasterizerH5.tree
+      ~ExoRasterizerH5.verbose
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.rst b/_sources/_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.rst
new file mode 100644
index 000000000..bc3ca0bb2
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.rst
@@ -0,0 +1,54 @@
+sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC
+===================================================
+
+.. currentmodule:: sup3r.preprocessing.rasterizers.exo
+
+.. autoclass:: ExoRasterizerNC
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~ExoRasterizerNC.get_data
+      ~ExoRasterizerNC.get_distance_upper_bound
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~ExoRasterizerNC.cache_dir
+      ~ExoRasterizerNC.cache_file
+      ~ExoRasterizerNC.chunks
+      ~ExoRasterizerNC.coords
+      ~ExoRasterizerNC.data
+      ~ExoRasterizerNC.distance_upper_bound
+      ~ExoRasterizerNC.feature
+      ~ExoRasterizerNC.file_paths
+      ~ExoRasterizerNC.hr_lat_lon
+      ~ExoRasterizerNC.hr_shape
+      ~ExoRasterizerNC.hr_time_index
+      ~ExoRasterizerNC.input_handler_kwargs
+      ~ExoRasterizerNC.input_handler_name
+      ~ExoRasterizerNC.lr_shape
+      ~ExoRasterizerNC.max_workers
+      ~ExoRasterizerNC.nn
+      ~ExoRasterizerNC.s_enhance
+      ~ExoRasterizerNC.source_data
+      ~ExoRasterizerNC.source_file
+      ~ExoRasterizerNC.source_handler
+      ~ExoRasterizerNC.source_lat_lon
+      ~ExoRasterizerNC.t_enhance
+      ~ExoRasterizerNC.tree
+      ~ExoRasterizerNC.verbose
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.rasterizers.exo.SzaRasterizer.rst b/_sources/_autosummary/sup3r.preprocessing.rasterizers.exo.SzaRasterizer.rst
new file mode 100644
index 000000000..a2f38c77d
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.rasterizers.exo.SzaRasterizer.rst
@@ -0,0 +1,54 @@
+sup3r.preprocessing.rasterizers.exo.SzaRasterizer
+=================================================
+
+.. currentmodule:: sup3r.preprocessing.rasterizers.exo
+
+.. autoclass:: SzaRasterizer
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~SzaRasterizer.get_data
+      ~SzaRasterizer.get_distance_upper_bound
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~SzaRasterizer.cache_dir
+      ~SzaRasterizer.cache_file
+      ~SzaRasterizer.chunks
+      ~SzaRasterizer.coords
+      ~SzaRasterizer.data
+      ~SzaRasterizer.distance_upper_bound
+      ~SzaRasterizer.feature
+      ~SzaRasterizer.file_paths
+      ~SzaRasterizer.hr_lat_lon
+      ~SzaRasterizer.hr_shape
+      ~SzaRasterizer.hr_time_index
+      ~SzaRasterizer.input_handler_kwargs
+      ~SzaRasterizer.input_handler_name
+      ~SzaRasterizer.lr_shape
+      ~SzaRasterizer.max_workers
+      ~SzaRasterizer.nn
+      ~SzaRasterizer.s_enhance
+      ~SzaRasterizer.source_data
+      ~SzaRasterizer.source_file
+      ~SzaRasterizer.source_handler
+      ~SzaRasterizer.source_lat_lon
+      ~SzaRasterizer.t_enhance
+      ~SzaRasterizer.tree
+      ~SzaRasterizer.verbose
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.rasterizers.exo.rst b/_sources/_autosummary/sup3r.preprocessing.rasterizers.exo.rst
new file mode 100644
index 000000000..3432f16d1
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.rasterizers.exo.rst
@@ -0,0 +1,35 @@
+sup3r.preprocessing.rasterizers.exo
+===================================
+
+.. automodule:: sup3r.preprocessing.rasterizers.exo
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      BaseExoRasterizer
+      ExoRasterizer
+      ExoRasterizerH5
+      ExoRasterizerNC
+      SzaRasterizer
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.rasterizers.extended.Rasterizer.rst b/_sources/_autosummary/sup3r.preprocessing.rasterizers.extended.Rasterizer.rst
new file mode 100644
index 000000000..0cec6e47b
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.rasterizers.extended.Rasterizer.rst
@@ -0,0 +1,42 @@
+sup3r.preprocessing.rasterizers.extended.Rasterizer
+===================================================
+
+.. currentmodule:: sup3r.preprocessing.rasterizers.extended
+
+.. autoclass:: Rasterizer
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~Rasterizer.check_target_and_shape
+      ~Rasterizer.get_closest_row_col
+      ~Rasterizer.get_lat_lon
+      ~Rasterizer.get_raster_index
+      ~Rasterizer.post_init_log
+      ~Rasterizer.rasterize_data
+      ~Rasterizer.save_raster_index
+      ~Rasterizer.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~Rasterizer.data
+      ~Rasterizer.grid_shape
+      ~Rasterizer.lat_lon
+      ~Rasterizer.shape
+      ~Rasterizer.target
+      ~Rasterizer.time_slice
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.rasterizers.extended.rst b/_sources/_autosummary/sup3r.preprocessing.rasterizers.extended.rst
new file mode 100644
index 000000000..711f8bc6b
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.rasterizers.extended.rst
@@ -0,0 +1,31 @@
+sup3r.preprocessing.rasterizers.extended
+========================================
+
+.. automodule:: sup3r.preprocessing.rasterizers.extended
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      Rasterizer
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.rasterizers.rst b/_sources/_autosummary/sup3r.preprocessing.rasterizers.rst
new file mode 100644
index 000000000..26e83e78a
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.rasterizers.rst
@@ -0,0 +1,33 @@
+sup3r.preprocessing.rasterizers
+===============================
+
+.. automodule:: sup3r.preprocessing.rasterizers
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
+.. autosummary::
+   :toctree:
+   :template: custom-module-template.rst
+   :recursive:
+
+   base
+   dual
+   exo
+   extended
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.rst b/_sources/_autosummary/sup3r.preprocessing.rst
new file mode 100644
index 000000000..eb6f2cfbc
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.rst
@@ -0,0 +1,42 @@
+sup3r.preprocessing
+===================
+
+.. automodule:: sup3r.preprocessing
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
+.. autosummary::
+   :toctree:
+   :template: custom-module-template.rst
+   :recursive:
+
+   accessor
+   base
+   batch_handlers
+   batch_queues
+   cachers
+   collections
+   data_handlers
+   derivers
+   loaders
+   names
+   rasterizers
+   samplers
+   utilities
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.samplers.base.Sampler.rst b/_sources/_autosummary/sup3r.preprocessing.samplers.base.Sampler.rst
new file mode 100644
index 000000000..ce4090eae
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.samplers.base.Sampler.rst
@@ -0,0 +1,41 @@
+sup3r.preprocessing.samplers.base.Sampler
+=========================================
+
+.. currentmodule:: sup3r.preprocessing.samplers.base
+
+.. autoclass:: Sampler
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~Sampler.get_sample_index
+      ~Sampler.post_init_log
+      ~Sampler.preflight
+      ~Sampler.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~Sampler.data
+      ~Sampler.hr_exo_features
+      ~Sampler.hr_features
+      ~Sampler.hr_features_ind
+      ~Sampler.hr_out_features
+      ~Sampler.hr_sample_shape
+      ~Sampler.lr_only_features
+      ~Sampler.sample_shape
+      ~Sampler.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.samplers.base.rst b/_sources/_autosummary/sup3r.preprocessing.samplers.base.rst
new file mode 100644
index 000000000..493c97e56
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.samplers.base.rst
@@ -0,0 +1,31 @@
+sup3r.preprocessing.samplers.base
+=================================
+
+.. automodule:: sup3r.preprocessing.samplers.base
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      Sampler
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.rst b/_sources/_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.rst
new file mode 100644
index 000000000..caad91491
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.rst
@@ -0,0 +1,45 @@
+sup3r.preprocessing.samplers.cc.DualSamplerCC
+=============================================
+
+.. currentmodule:: sup3r.preprocessing.samplers.cc
+
+.. autoclass:: DualSamplerCC
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~DualSamplerCC.check_for_consistent_shapes
+      ~DualSamplerCC.get_features
+      ~DualSamplerCC.get_middle_days
+      ~DualSamplerCC.get_sample_index
+      ~DualSamplerCC.post_init_log
+      ~DualSamplerCC.preflight
+      ~DualSamplerCC.reduce_high_res_sub_daily
+      ~DualSamplerCC.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~DualSamplerCC.data
+      ~DualSamplerCC.hr_exo_features
+      ~DualSamplerCC.hr_features
+      ~DualSamplerCC.hr_features_ind
+      ~DualSamplerCC.hr_out_features
+      ~DualSamplerCC.hr_sample_shape
+      ~DualSamplerCC.lr_only_features
+      ~DualSamplerCC.sample_shape
+      ~DualSamplerCC.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.samplers.cc.rst b/_sources/_autosummary/sup3r.preprocessing.samplers.cc.rst
new file mode 100644
index 000000000..4f6b6b7e8
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.samplers.cc.rst
@@ -0,0 +1,31 @@
+sup3r.preprocessing.samplers.cc
+===============================
+
+.. automodule:: sup3r.preprocessing.samplers.cc
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      DualSamplerCC
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.samplers.dc.SamplerDC.rst b/_sources/_autosummary/sup3r.preprocessing.samplers.dc.SamplerDC.rst
new file mode 100644
index 000000000..0f1a104e5
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.samplers.dc.SamplerDC.rst
@@ -0,0 +1,42 @@
+sup3r.preprocessing.samplers.dc.SamplerDC
+=========================================
+
+.. currentmodule:: sup3r.preprocessing.samplers.dc
+
+.. autoclass:: SamplerDC
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~SamplerDC.get_sample_index
+      ~SamplerDC.post_init_log
+      ~SamplerDC.preflight
+      ~SamplerDC.update_weights
+      ~SamplerDC.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~SamplerDC.data
+      ~SamplerDC.hr_exo_features
+      ~SamplerDC.hr_features
+      ~SamplerDC.hr_features_ind
+      ~SamplerDC.hr_out_features
+      ~SamplerDC.hr_sample_shape
+      ~SamplerDC.lr_only_features
+      ~SamplerDC.sample_shape
+      ~SamplerDC.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.samplers.dc.rst b/_sources/_autosummary/sup3r.preprocessing.samplers.dc.rst
new file mode 100644
index 000000000..b860493d5
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.samplers.dc.rst
@@ -0,0 +1,31 @@
+sup3r.preprocessing.samplers.dc
+===============================
+
+.. automodule:: sup3r.preprocessing.samplers.dc
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      SamplerDC
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.samplers.dual.DualSampler.rst b/_sources/_autosummary/sup3r.preprocessing.samplers.dual.DualSampler.rst
new file mode 100644
index 000000000..0320e5902
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.samplers.dual.DualSampler.rst
@@ -0,0 +1,43 @@
+sup3r.preprocessing.samplers.dual.DualSampler
+=============================================
+
+.. currentmodule:: sup3r.preprocessing.samplers.dual
+
+.. autoclass:: DualSampler
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~DualSampler.check_for_consistent_shapes
+      ~DualSampler.get_features
+      ~DualSampler.get_sample_index
+      ~DualSampler.post_init_log
+      ~DualSampler.preflight
+      ~DualSampler.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~DualSampler.data
+      ~DualSampler.hr_exo_features
+      ~DualSampler.hr_features
+      ~DualSampler.hr_features_ind
+      ~DualSampler.hr_out_features
+      ~DualSampler.hr_sample_shape
+      ~DualSampler.lr_only_features
+      ~DualSampler.sample_shape
+      ~DualSampler.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.samplers.dual.rst b/_sources/_autosummary/sup3r.preprocessing.samplers.dual.rst
new file mode 100644
index 000000000..4c4a2b0c5
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.samplers.dual.rst
@@ -0,0 +1,31 @@
+sup3r.preprocessing.samplers.dual
+=================================
+
+.. automodule:: sup3r.preprocessing.samplers.dual
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      DualSampler
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.samplers.rst b/_sources/_autosummary/sup3r.preprocessing.samplers.rst
new file mode 100644
index 000000000..6f3296155
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.samplers.rst
@@ -0,0 +1,34 @@
+sup3r.preprocessing.samplers
+============================
+
+.. automodule:: sup3r.preprocessing.samplers
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
+.. autosummary::
+   :toctree:
+   :template: custom-module-template.rst
+   :recursive:
+
+   base
+   cc
+   dc
+   dual
+   utilities
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.samplers.utilities.daily_time_sampler.rst b/_sources/_autosummary/sup3r.preprocessing.samplers.utilities.daily_time_sampler.rst
new file mode 100644
index 000000000..1d428cb44
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.samplers.utilities.daily_time_sampler.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.samplers.utilities.daily\_time\_sampler
+===========================================================
+
+.. currentmodule:: sup3r.preprocessing.samplers.utilities
+
+.. autofunction:: daily_time_sampler
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.samplers.utilities.nsrdb_reduce_daily_data.rst b/_sources/_autosummary/sup3r.preprocessing.samplers.utilities.nsrdb_reduce_daily_data.rst
new file mode 100644
index 000000000..c930e534e
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.samplers.utilities.nsrdb_reduce_daily_data.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.samplers.utilities.nsrdb\_reduce\_daily\_data
+=================================================================
+
+.. currentmodule:: sup3r.preprocessing.samplers.utilities
+
+.. autofunction:: nsrdb_reduce_daily_data
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.samplers.utilities.nsrdb_sub_daily_sampler.rst b/_sources/_autosummary/sup3r.preprocessing.samplers.utilities.nsrdb_sub_daily_sampler.rst
new file mode 100644
index 000000000..508ff99b0
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.samplers.utilities.nsrdb_sub_daily_sampler.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.samplers.utilities.nsrdb\_sub\_daily\_sampler
+=================================================================
+
+.. currentmodule:: sup3r.preprocessing.samplers.utilities
+
+.. autofunction:: nsrdb_sub_daily_sampler
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.samplers.utilities.rst b/_sources/_autosummary/sup3r.preprocessing.samplers.utilities.rst
new file mode 100644
index 000000000..fedd05d0e
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.samplers.utilities.rst
@@ -0,0 +1,36 @@
+sup3r.preprocessing.samplers.utilities
+======================================
+
+.. automodule:: sup3r.preprocessing.samplers.utilities
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+      :toctree:
+   
+      daily_time_sampler
+      nsrdb_reduce_daily_data
+      nsrdb_sub_daily_sampler
+      uniform_box_sampler
+      uniform_time_sampler
+      weighted_box_sampler
+      weighted_time_sampler
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.preprocessing.samplers.utilities.uniform_box_sampler.rst b/_sources/_autosummary/sup3r.preprocessing.samplers.utilities.uniform_box_sampler.rst
new file mode 100644
index 000000000..cb7f7f576
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.samplers.utilities.uniform_box_sampler.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.samplers.utilities.uniform\_box\_sampler
+============================================================
+
+.. currentmodule:: sup3r.preprocessing.samplers.utilities
+
+.. autofunction:: uniform_box_sampler
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.samplers.utilities.uniform_time_sampler.rst b/_sources/_autosummary/sup3r.preprocessing.samplers.utilities.uniform_time_sampler.rst
new file mode 100644
index 000000000..efcf666fe
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.samplers.utilities.uniform_time_sampler.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.samplers.utilities.uniform\_time\_sampler
+=============================================================
+
+.. currentmodule:: sup3r.preprocessing.samplers.utilities
+
+.. autofunction:: uniform_time_sampler
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.samplers.utilities.weighted_box_sampler.rst b/_sources/_autosummary/sup3r.preprocessing.samplers.utilities.weighted_box_sampler.rst
new file mode 100644
index 000000000..fcea36453
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.samplers.utilities.weighted_box_sampler.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.samplers.utilities.weighted\_box\_sampler
+=============================================================
+
+.. currentmodule:: sup3r.preprocessing.samplers.utilities
+
+.. autofunction:: weighted_box_sampler
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.samplers.utilities.weighted_time_sampler.rst b/_sources/_autosummary/sup3r.preprocessing.samplers.utilities.weighted_time_sampler.rst
new file mode 100644
index 000000000..824b9847b
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.samplers.utilities.weighted_time_sampler.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.samplers.utilities.weighted\_time\_sampler
+==============================================================
+
+.. currentmodule:: sup3r.preprocessing.samplers.utilities
+
+.. autofunction:: weighted_time_sampler
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.check_signatures.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.check_signatures.rst
new file mode 100644
index 000000000..0fed204a6
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.check_signatures.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.utilities.check\_signatures
+===============================================
+
+.. currentmodule:: sup3r.preprocessing.utilities
+
+.. autofunction:: check_signatures
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.composite_info.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.composite_info.rst
new file mode 100644
index 000000000..a2dde0d9a
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.composite_info.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.utilities.composite\_info
+=============================================
+
+.. currentmodule:: sup3r.preprocessing.utilities
+
+.. autofunction:: composite_info
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.composite_sig.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.composite_sig.rst
new file mode 100644
index 000000000..b6663ffc7
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.composite_sig.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.utilities.composite\_sig
+============================================
+
+.. currentmodule:: sup3r.preprocessing.utilities
+
+.. autofunction:: composite_sig
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.compute_if_dask.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.compute_if_dask.rst
new file mode 100644
index 000000000..75af9acbb
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.compute_if_dask.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.utilities.compute\_if\_dask
+===============================================
+
+.. currentmodule:: sup3r.preprocessing.utilities
+
+.. autofunction:: compute_if_dask
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.contains_ellipsis.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.contains_ellipsis.rst
new file mode 100644
index 000000000..74c65a5ec
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.contains_ellipsis.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.utilities.contains\_ellipsis
+================================================
+
+.. currentmodule:: sup3r.preprocessing.utilities
+
+.. autofunction:: contains_ellipsis
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.dims_array_tuple.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.dims_array_tuple.rst
new file mode 100644
index 000000000..b04c86d68
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.dims_array_tuple.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.utilities.dims\_array\_tuple
+================================================
+
+.. currentmodule:: sup3r.preprocessing.utilities
+
+.. autofunction:: dims_array_tuple
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.expand_paths.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.expand_paths.rst
new file mode 100644
index 000000000..968e7fb05
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.expand_paths.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.utilities.expand\_paths
+===========================================
+
+.. currentmodule:: sup3r.preprocessing.utilities
+
+.. autofunction:: expand_paths
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.get_class_kwargs.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.get_class_kwargs.rst
new file mode 100644
index 000000000..e8a5e682f
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.get_class_kwargs.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.utilities.get\_class\_kwargs
+================================================
+
+.. currentmodule:: sup3r.preprocessing.utilities
+
+.. autofunction:: get_class_kwargs
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.get_date_range_kwargs.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.get_date_range_kwargs.rst
new file mode 100644
index 000000000..b3bea1513
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.get_date_range_kwargs.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.utilities.get\_date\_range\_kwargs
+======================================================
+
+.. currentmodule:: sup3r.preprocessing.utilities
+
+.. autofunction:: get_date_range_kwargs
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.get_input_handler_class.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.get_input_handler_class.rst
new file mode 100644
index 000000000..742d0fe5e
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.get_input_handler_class.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.utilities.get\_input\_handler\_class
+========================================================
+
+.. currentmodule:: sup3r.preprocessing.utilities
+
+.. autofunction:: get_input_handler_class
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.get_obj_params.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.get_obj_params.rst
new file mode 100644
index 000000000..b2d91b3a0
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.get_obj_params.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.utilities.get\_obj\_params
+==============================================
+
+.. currentmodule:: sup3r.preprocessing.utilities
+
+.. autofunction:: get_obj_params
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.get_source_type.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.get_source_type.rst
new file mode 100644
index 000000000..5a824fde1
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.get_source_type.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.utilities.get\_source\_type
+===============================================
+
+.. currentmodule:: sup3r.preprocessing.utilities
+
+.. autofunction:: get_source_type
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.is_type_of.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.is_type_of.rst
new file mode 100644
index 000000000..6d60ed0f7
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.is_type_of.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.utilities.is\_type\_of
+==========================================
+
+.. currentmodule:: sup3r.preprocessing.utilities
+
+.. autofunction:: is_type_of
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.log_args.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.log_args.rst
new file mode 100644
index 000000000..1251b7022
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.log_args.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.utilities.log\_args
+=======================================
+
+.. currentmodule:: sup3r.preprocessing.utilities
+
+.. autofunction:: log_args
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.lower_names.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.lower_names.rst
new file mode 100644
index 000000000..87cbc9838
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.lower_names.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.utilities.lower\_names
+==========================================
+
+.. currentmodule:: sup3r.preprocessing.utilities
+
+.. autofunction:: lower_names
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.lowered.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.lowered.rst
new file mode 100644
index 000000000..cc2c467cf
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.lowered.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.utilities.lowered
+=====================================
+
+.. currentmodule:: sup3r.preprocessing.utilities
+
+.. autofunction:: lowered
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.make_time_index_from_kws.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.make_time_index_from_kws.rst
new file mode 100644
index 000000000..69b0e08ce
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.make_time_index_from_kws.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.utilities.make\_time\_index\_from\_kws
+==========================================================
+
+.. currentmodule:: sup3r.preprocessing.utilities
+
+.. autofunction:: make_time_index_from_kws
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.numpy_if_tensor.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.numpy_if_tensor.rst
new file mode 100644
index 000000000..f4597f4ef
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.numpy_if_tensor.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.utilities.numpy\_if\_tensor
+===============================================
+
+.. currentmodule:: sup3r.preprocessing.utilities
+
+.. autofunction:: numpy_if_tensor
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.ordered_array.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.ordered_array.rst
new file mode 100644
index 000000000..1ea113438
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.ordered_array.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.utilities.ordered\_array
+============================================
+
+.. currentmodule:: sup3r.preprocessing.utilities
+
+.. autofunction:: ordered_array
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.ordered_dims.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.ordered_dims.rst
new file mode 100644
index 000000000..11cb30044
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.ordered_dims.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.utilities.ordered\_dims
+===========================================
+
+.. currentmodule:: sup3r.preprocessing.utilities
+
+.. autofunction:: ordered_dims
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.parse_ellipsis.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.parse_ellipsis.rst
new file mode 100644
index 000000000..f63c12ac0
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.parse_ellipsis.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.utilities.parse\_ellipsis
+=============================================
+
+.. currentmodule:: sup3r.preprocessing.utilities
+
+.. autofunction:: parse_ellipsis
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.parse_features.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.parse_features.rst
new file mode 100644
index 000000000..9545699ab
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.parse_features.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.utilities.parse\_features
+=============================================
+
+.. currentmodule:: sup3r.preprocessing.utilities
+
+.. autofunction:: parse_features
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.parse_keys.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.parse_keys.rst
new file mode 100644
index 000000000..54eb566c3
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.parse_keys.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.utilities.parse\_keys
+=========================================
+
+.. currentmodule:: sup3r.preprocessing.utilities
+
+.. autofunction:: parse_keys
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.parse_to_list.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.parse_to_list.rst
new file mode 100644
index 000000000..209eff085
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.parse_to_list.rst
@@ -0,0 +1,6 @@
+sup3r.preprocessing.utilities.parse\_to\_list
+=============================================
+
+.. currentmodule:: sup3r.preprocessing.utilities
+
+.. autofunction:: parse_to_list
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.preprocessing.utilities.rst b/_sources/_autosummary/sup3r.preprocessing.utilities.rst
new file mode 100644
index 000000000..0e47f0fcb
--- /dev/null
+++ b/_sources/_autosummary/sup3r.preprocessing.utilities.rst
@@ -0,0 +1,53 @@
+sup3r.preprocessing.utilities
+=============================
+
+.. automodule:: sup3r.preprocessing.utilities
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+      :toctree:
+   
+      check_signatures
+      composite_info
+      composite_sig
+      compute_if_dask
+      contains_ellipsis
+      dims_array_tuple
+      expand_paths
+      get_class_kwargs
+      get_date_range_kwargs
+      get_input_handler_class
+      get_obj_params
+      get_source_type
+      is_type_of
+      log_args
+      lower_names
+      lowered
+      make_time_index_from_kws
+      numpy_if_tensor
+      ordered_array
+      ordered_dims
+      parse_ellipsis
+      parse_features
+      parse_keys
+      parse_to_list
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.qa.qa.Sup3rQa.rst b/_sources/_autosummary/sup3r.qa.qa.Sup3rQa.rst
new file mode 100644
index 000000000..776b36c5e
--- /dev/null
+++ b/_sources/_autosummary/sup3r.qa.qa.Sup3rQa.rst
@@ -0,0 +1,38 @@
+sup3r.qa.qa.Sup3rQa
+===================
+
+.. currentmodule:: sup3r.qa.qa
+
+.. autoclass:: Sup3rQa
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~Sup3rQa.bias_correct_input_handler
+      ~Sup3rQa.close
+      ~Sup3rQa.coarsen_data
+      ~Sup3rQa.export
+      ~Sup3rQa.get_dset_out
+      ~Sup3rQa.get_node_cmd
+      ~Sup3rQa.run
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~Sup3rQa.features
+      ~Sup3rQa.output_names
+      ~Sup3rQa.output_type
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.qa.qa.rst b/_sources/_autosummary/sup3r.qa.qa.rst
new file mode 100644
index 000000000..9e8d522a1
--- /dev/null
+++ b/_sources/_autosummary/sup3r.qa.qa.rst
@@ -0,0 +1,31 @@
+sup3r.qa.qa
+===========
+
+.. automodule:: sup3r.qa.qa
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      Sup3rQa
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.qa.qa_cli.rst b/_sources/_autosummary/sup3r.qa.qa_cli.rst
new file mode 100644
index 000000000..de6de99bd
--- /dev/null
+++ b/_sources/_autosummary/sup3r.qa.qa_cli.rst
@@ -0,0 +1,23 @@
+sup3r.qa.qa\_cli
+================
+
+.. automodule:: sup3r.qa.qa_cli
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.qa.rst b/_sources/_autosummary/sup3r.qa.rst
new file mode 100644
index 000000000..173b046e0
--- /dev/null
+++ b/_sources/_autosummary/sup3r.qa.rst
@@ -0,0 +1,32 @@
+sup3r.qa
+========
+
+.. automodule:: sup3r.qa
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
+.. autosummary::
+   :toctree:
+   :template: custom-module-template.rst
+   :recursive:
+
+   qa
+   qa_cli
+   utilities
+
diff --git a/_sources/_autosummary/sup3r.qa.utilities.continuous_dist.rst b/_sources/_autosummary/sup3r.qa.utilities.continuous_dist.rst
new file mode 100644
index 000000000..d71ca9248
--- /dev/null
+++ b/_sources/_autosummary/sup3r.qa.utilities.continuous_dist.rst
@@ -0,0 +1,6 @@
+sup3r.qa.utilities.continuous\_dist
+===================================
+
+.. currentmodule:: sup3r.qa.utilities
+
+.. autofunction:: continuous_dist
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.qa.utilities.direct_dist.rst b/_sources/_autosummary/sup3r.qa.utilities.direct_dist.rst
new file mode 100644
index 000000000..f9d98e3c3
--- /dev/null
+++ b/_sources/_autosummary/sup3r.qa.utilities.direct_dist.rst
@@ -0,0 +1,6 @@
+sup3r.qa.utilities.direct\_dist
+===============================
+
+.. currentmodule:: sup3r.qa.utilities
+
+.. autofunction:: direct_dist
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.qa.utilities.frequency_spectrum.rst b/_sources/_autosummary/sup3r.qa.utilities.frequency_spectrum.rst
new file mode 100644
index 000000000..e5cb3a7d8
--- /dev/null
+++ b/_sources/_autosummary/sup3r.qa.utilities.frequency_spectrum.rst
@@ -0,0 +1,6 @@
+sup3r.qa.utilities.frequency\_spectrum
+======================================
+
+.. currentmodule:: sup3r.qa.utilities
+
+.. autofunction:: frequency_spectrum
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.qa.utilities.gradient_dist.rst b/_sources/_autosummary/sup3r.qa.utilities.gradient_dist.rst
new file mode 100644
index 000000000..e9ba14309
--- /dev/null
+++ b/_sources/_autosummary/sup3r.qa.utilities.gradient_dist.rst
@@ -0,0 +1,6 @@
+sup3r.qa.utilities.gradient\_dist
+=================================
+
+.. currentmodule:: sup3r.qa.utilities
+
+.. autofunction:: gradient_dist
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.qa.utilities.rst b/_sources/_autosummary/sup3r.qa.utilities.rst
new file mode 100644
index 000000000..b5880173d
--- /dev/null
+++ b/_sources/_autosummary/sup3r.qa.utilities.rst
@@ -0,0 +1,37 @@
+sup3r.qa.utilities
+==================
+
+.. automodule:: sup3r.qa.utilities
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+      :toctree:
+   
+      continuous_dist
+      direct_dist
+      frequency_spectrum
+      gradient_dist
+      time_derivative_dist
+      tke_frequency_spectrum
+      tke_wavenumber_spectrum
+      wavenumber_spectrum
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.qa.utilities.time_derivative_dist.rst b/_sources/_autosummary/sup3r.qa.utilities.time_derivative_dist.rst
new file mode 100644
index 000000000..31757692b
--- /dev/null
+++ b/_sources/_autosummary/sup3r.qa.utilities.time_derivative_dist.rst
@@ -0,0 +1,6 @@
+sup3r.qa.utilities.time\_derivative\_dist
+=========================================
+
+.. currentmodule:: sup3r.qa.utilities
+
+.. autofunction:: time_derivative_dist
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.qa.utilities.tke_frequency_spectrum.rst b/_sources/_autosummary/sup3r.qa.utilities.tke_frequency_spectrum.rst
new file mode 100644
index 000000000..2e87b787d
--- /dev/null
+++ b/_sources/_autosummary/sup3r.qa.utilities.tke_frequency_spectrum.rst
@@ -0,0 +1,6 @@
+sup3r.qa.utilities.tke\_frequency\_spectrum
+===========================================
+
+.. currentmodule:: sup3r.qa.utilities
+
+.. autofunction:: tke_frequency_spectrum
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.qa.utilities.tke_wavenumber_spectrum.rst b/_sources/_autosummary/sup3r.qa.utilities.tke_wavenumber_spectrum.rst
new file mode 100644
index 000000000..a43e3ef4c
--- /dev/null
+++ b/_sources/_autosummary/sup3r.qa.utilities.tke_wavenumber_spectrum.rst
@@ -0,0 +1,6 @@
+sup3r.qa.utilities.tke\_wavenumber\_spectrum
+============================================
+
+.. currentmodule:: sup3r.qa.utilities
+
+.. autofunction:: tke_wavenumber_spectrum
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.qa.utilities.wavenumber_spectrum.rst b/_sources/_autosummary/sup3r.qa.utilities.wavenumber_spectrum.rst
new file mode 100644
index 000000000..ea2edd996
--- /dev/null
+++ b/_sources/_autosummary/sup3r.qa.utilities.wavenumber_spectrum.rst
@@ -0,0 +1,6 @@
+sup3r.qa.utilities.wavenumber\_spectrum
+=======================================
+
+.. currentmodule:: sup3r.qa.utilities
+
+.. autofunction:: wavenumber_spectrum
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.rst b/_sources/_autosummary/sup3r.rst
new file mode 100644
index 000000000..3fc9fb2ad
--- /dev/null
+++ b/_sources/_autosummary/sup3r.rst
@@ -0,0 +1,39 @@
+sup3r
+=====
+
+.. automodule:: sup3r
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
+.. autosummary::
+   :toctree:
+   :template: custom-module-template.rst
+   :recursive:
+
+   batch
+   bias
+   cli
+   models
+   pipeline
+   postprocessing
+   preprocessing
+   qa
+   solar
+   utilities
+
diff --git a/_sources/_autosummary/sup3r.solar.rst b/_sources/_autosummary/sup3r.solar.rst
new file mode 100644
index 000000000..2b6374965
--- /dev/null
+++ b/_sources/_autosummary/sup3r.solar.rst
@@ -0,0 +1,31 @@
+sup3r.solar
+===========
+
+.. automodule:: sup3r.solar
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
+.. autosummary::
+   :toctree:
+   :template: custom-module-template.rst
+   :recursive:
+
+   solar
+   solar_cli
+
diff --git a/_sources/_autosummary/sup3r.solar.solar.Solar.rst b/_sources/_autosummary/sup3r.solar.solar.Solar.rst
new file mode 100644
index 000000000..5fc9f30bb
--- /dev/null
+++ b/_sources/_autosummary/sup3r.solar.solar.Solar.rst
@@ -0,0 +1,46 @@
+sup3r.solar.solar.Solar
+=======================
+
+.. currentmodule:: sup3r.solar.solar
+
+.. autoclass:: Solar
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~Solar.close
+      ~Solar.get_node_cmd
+      ~Solar.get_nsrdb_data
+      ~Solar.get_sup3r_fps
+      ~Solar.preflight
+      ~Solar.run_temporal_chunks
+      ~Solar.write
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~Solar.clearsky_ratio
+      ~Solar.cloud_mask
+      ~Solar.dhi
+      ~Solar.dist
+      ~Solar.dni
+      ~Solar.ghi
+      ~Solar.idnn
+      ~Solar.nsrdb_tslice
+      ~Solar.out_of_bounds
+      ~Solar.solar_zenith_angle
+      ~Solar.time_index
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.solar.solar.rst b/_sources/_autosummary/sup3r.solar.solar.rst
new file mode 100644
index 000000000..582072ed8
--- /dev/null
+++ b/_sources/_autosummary/sup3r.solar.solar.rst
@@ -0,0 +1,31 @@
+sup3r.solar.solar
+=================
+
+.. automodule:: sup3r.solar.solar
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      Solar
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.solar.solar_cli.kickoff_local_job.rst b/_sources/_autosummary/sup3r.solar.solar_cli.kickoff_local_job.rst
new file mode 100644
index 000000000..d476e6727
--- /dev/null
+++ b/_sources/_autosummary/sup3r.solar.solar_cli.kickoff_local_job.rst
@@ -0,0 +1,6 @@
+sup3r.solar.solar\_cli.kickoff\_local\_job
+==========================================
+
+.. currentmodule:: sup3r.solar.solar_cli
+
+.. autofunction:: kickoff_local_job
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.solar.solar_cli.kickoff_slurm_job.rst b/_sources/_autosummary/sup3r.solar.solar_cli.kickoff_slurm_job.rst
new file mode 100644
index 000000000..e10b3a24e
--- /dev/null
+++ b/_sources/_autosummary/sup3r.solar.solar_cli.kickoff_slurm_job.rst
@@ -0,0 +1,6 @@
+sup3r.solar.solar\_cli.kickoff\_slurm\_job
+==========================================
+
+.. currentmodule:: sup3r.solar.solar_cli
+
+.. autofunction:: kickoff_slurm_job
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.solar.solar_cli.rst b/_sources/_autosummary/sup3r.solar.solar_cli.rst
new file mode 100644
index 000000000..a776886bd
--- /dev/null
+++ b/_sources/_autosummary/sup3r.solar.solar_cli.rst
@@ -0,0 +1,31 @@
+sup3r.solar.solar\_cli
+======================
+
+.. automodule:: sup3r.solar.solar_cli
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+      :toctree:
+   
+      kickoff_local_job
+      kickoff_slurm_job
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.utilities.ModuleName.rst b/_sources/_autosummary/sup3r.utilities.ModuleName.rst
new file mode 100644
index 000000000..d15dfdf98
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.ModuleName.rst
@@ -0,0 +1,85 @@
+sup3r.utilities.ModuleName
+==========================
+
+.. currentmodule:: sup3r.utilities
+
+.. autoclass:: ModuleName
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~ModuleName.encode
+      ~ModuleName.replace
+      ~ModuleName.split
+      ~ModuleName.rsplit
+      ~ModuleName.join
+      ~ModuleName.capitalize
+      ~ModuleName.casefold
+      ~ModuleName.title
+      ~ModuleName.center
+      ~ModuleName.count
+      ~ModuleName.expandtabs
+      ~ModuleName.find
+      ~ModuleName.partition
+      ~ModuleName.index
+      ~ModuleName.ljust
+      ~ModuleName.lower
+      ~ModuleName.lstrip
+      ~ModuleName.rfind
+      ~ModuleName.rindex
+      ~ModuleName.rjust
+      ~ModuleName.rstrip
+      ~ModuleName.rpartition
+      ~ModuleName.splitlines
+      ~ModuleName.strip
+      ~ModuleName.swapcase
+      ~ModuleName.translate
+      ~ModuleName.upper
+      ~ModuleName.startswith
+      ~ModuleName.endswith
+      ~ModuleName.removeprefix
+      ~ModuleName.removesuffix
+      ~ModuleName.isascii
+      ~ModuleName.islower
+      ~ModuleName.isupper
+      ~ModuleName.istitle
+      ~ModuleName.isspace
+      ~ModuleName.isdecimal
+      ~ModuleName.isdigit
+      ~ModuleName.isnumeric
+      ~ModuleName.isalpha
+      ~ModuleName.isalnum
+      ~ModuleName.isidentifier
+      ~ModuleName.isprintable
+      ~ModuleName.zfill
+      ~ModuleName.format
+      ~ModuleName.format_map
+      ~ModuleName.maketrans
+      ~ModuleName.all_names
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~ModuleName.FORWARD_PASS
+      ~ModuleName.DATA_EXTRACT
+      ~ModuleName.DATA_COLLECT
+      ~ModuleName.QA
+      ~ModuleName.SOLAR
+      ~ModuleName.STATS
+      ~ModuleName.BIAS_CALC
+      ~ModuleName.VISUAL_QA
+      ~ModuleName.REGRID
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.cli.BaseCLI.rst b/_sources/_autosummary/sup3r.utilities.cli.BaseCLI.rst
new file mode 100644
index 000000000..d812484af
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.cli.BaseCLI.rst
@@ -0,0 +1,29 @@
+sup3r.utilities.cli.BaseCLI
+===========================
+
+.. currentmodule:: sup3r.utilities.cli
+
+.. autoclass:: BaseCLI
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~BaseCLI.add_status_cmd
+      ~BaseCLI.check_module_name
+      ~BaseCLI.from_config
+      ~BaseCLI.from_config_preflight
+      ~BaseCLI.kickoff_local_job
+      ~BaseCLI.kickoff_slurm_job
+   
+   
+
+   
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.cli.SlurmManager.rst b/_sources/_autosummary/sup3r.utilities.cli.SlurmManager.rst
new file mode 100644
index 000000000..e7f2f94a5
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.cli.SlurmManager.rst
@@ -0,0 +1,54 @@
+sup3r.utilities.cli.SlurmManager
+================================
+
+.. currentmodule:: sup3r.utilities.cli
+
+.. autoclass:: SlurmManager
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~SlurmManager.change_qos
+      ~SlurmManager.check_status
+      ~SlurmManager.check_status_using_job_id
+      ~SlurmManager.format_walltime
+      ~SlurmManager.hold
+      ~SlurmManager.make_path
+      ~SlurmManager.make_sh
+      ~SlurmManager.parse_queue_str
+      ~SlurmManager.query_queue
+      ~SlurmManager.release
+      ~SlurmManager.rm
+      ~SlurmManager.s
+      ~SlurmManager.sbatch
+      ~SlurmManager.scancel
+      ~SlurmManager.scontrol
+      ~SlurmManager.submit
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~SlurmManager.MAX_NAME_LEN
+      ~SlurmManager.QCOL_ID
+      ~SlurmManager.QCOL_NAME
+      ~SlurmManager.QCOL_STATUS
+      ~SlurmManager.QSKIP
+      ~SlurmManager.SQ_FORMAT
+      ~SlurmManager.USER
+      ~SlurmManager.queue
+      ~SlurmManager.queue_job_ids
+      ~SlurmManager.queue_job_names
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.cli.rst b/_sources/_autosummary/sup3r.utilities.cli.rst
new file mode 100644
index 000000000..a6f99e932
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.cli.rst
@@ -0,0 +1,32 @@
+sup3r.utilities.cli
+===================
+
+.. automodule:: sup3r.utilities.cli
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      BaseCLI
+      SlurmManager
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.utilities.era_downloader.EraDownloader.rst b/_sources/_autosummary/sup3r.utilities.era_downloader.EraDownloader.rst
new file mode 100644
index 000000000..495c31c22
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.era_downloader.EraDownloader.rst
@@ -0,0 +1,52 @@
+sup3r.utilities.era\_downloader.EraDownloader
+=============================================
+
+.. currentmodule:: sup3r.utilities.era_downloader
+
+.. autoclass:: EraDownloader
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~EraDownloader.add_pressure
+      ~EraDownloader.all_vars_exist
+      ~EraDownloader.convert_z
+      ~EraDownloader.download_file
+      ~EraDownloader.download_process_combine
+      ~EraDownloader.get_cds_client
+      ~EraDownloader.get_hours
+      ~EraDownloader.get_monthly_file
+      ~EraDownloader.get_tmp_file
+      ~EraDownloader.make_yearly_file
+      ~EraDownloader.make_yearly_var_file
+      ~EraDownloader.prep_var_lists
+      ~EraDownloader.process_and_combine
+      ~EraDownloader.process_level_file
+      ~EraDownloader.process_surface_file
+      ~EraDownloader.run
+      ~EraDownloader.run_for_var
+      ~EraDownloader.run_month
+      ~EraDownloader.run_qa
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~EraDownloader.days
+      ~EraDownloader.level_file
+      ~EraDownloader.monthly_file
+      ~EraDownloader.surface_file
+      ~EraDownloader.variables
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.era_downloader.rst b/_sources/_autosummary/sup3r.utilities.era_downloader.rst
new file mode 100644
index 000000000..69cbf2209
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.era_downloader.rst
@@ -0,0 +1,31 @@
+sup3r.utilities.era\_downloader
+===============================
+
+.. automodule:: sup3r.utilities.era_downloader
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      EraDownloader
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.utilities.interpolation.Interpolator.rst b/_sources/_autosummary/sup3r.utilities.interpolation.Interpolator.rst
new file mode 100644
index 000000000..7f06effde
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.interpolation.Interpolator.rst
@@ -0,0 +1,25 @@
+sup3r.utilities.interpolation.Interpolator
+==========================================
+
+.. currentmodule:: sup3r.utilities.interpolation
+
+.. autoclass:: Interpolator
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~Interpolator.get_level_masks
+      ~Interpolator.interp_to_level
+   
+   
+
+   
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.interpolation.rst b/_sources/_autosummary/sup3r.utilities.interpolation.rst
new file mode 100644
index 000000000..6f42e068f
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.interpolation.rst
@@ -0,0 +1,31 @@
+sup3r.utilities.interpolation
+=============================
+
+.. automodule:: sup3r.utilities.interpolation
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      Interpolator
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.utilities.loss_metrics.CoarseMseLoss.rst b/_sources/_autosummary/sup3r.utilities.loss_metrics.CoarseMseLoss.rst
new file mode 100644
index 000000000..f912622de
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.loss_metrics.CoarseMseLoss.rst
@@ -0,0 +1,32 @@
+sup3r.utilities.loss\_metrics.CoarseMseLoss
+===========================================
+
+.. currentmodule:: sup3r.utilities.loss_metrics
+
+.. autoclass:: CoarseMseLoss
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~CoarseMseLoss.call
+      ~CoarseMseLoss.from_config
+      ~CoarseMseLoss.get_config
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~CoarseMseLoss.MSE_LOSS
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.loss_metrics.ExpLoss.rst b/_sources/_autosummary/sup3r.utilities.loss_metrics.ExpLoss.rst
new file mode 100644
index 000000000..0ec34e636
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.loss_metrics.ExpLoss.rst
@@ -0,0 +1,26 @@
+sup3r.utilities.loss\_metrics.ExpLoss
+=====================================
+
+.. currentmodule:: sup3r.utilities.loss_metrics
+
+.. autoclass:: ExpLoss
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~ExpLoss.call
+      ~ExpLoss.from_config
+      ~ExpLoss.get_config
+   
+   
+
+   
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.loss_metrics.LowResLoss.rst b/_sources/_autosummary/sup3r.utilities.loss_metrics.LowResLoss.rst
new file mode 100644
index 000000000..6c925ff85
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.loss_metrics.LowResLoss.rst
@@ -0,0 +1,32 @@
+sup3r.utilities.loss\_metrics.LowResLoss
+========================================
+
+.. currentmodule:: sup3r.utilities.loss_metrics
+
+.. autoclass:: LowResLoss
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~LowResLoss.call
+      ~LowResLoss.from_config
+      ~LowResLoss.get_config
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~LowResLoss.EX_LOSS_METRICS
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.loss_metrics.MaterialDerivativeLoss.rst b/_sources/_autosummary/sup3r.utilities.loss_metrics.MaterialDerivativeLoss.rst
new file mode 100644
index 000000000..0c0b98313
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.loss_metrics.MaterialDerivativeLoss.rst
@@ -0,0 +1,32 @@
+sup3r.utilities.loss\_metrics.MaterialDerivativeLoss
+====================================================
+
+.. currentmodule:: sup3r.utilities.loss_metrics
+
+.. autoclass:: MaterialDerivativeLoss
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~MaterialDerivativeLoss.call
+      ~MaterialDerivativeLoss.from_config
+      ~MaterialDerivativeLoss.get_config
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~MaterialDerivativeLoss.LOSS_METRIC
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.loss_metrics.MmdLoss.rst b/_sources/_autosummary/sup3r.utilities.loss_metrics.MmdLoss.rst
new file mode 100644
index 000000000..9c4522b2c
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.loss_metrics.MmdLoss.rst
@@ -0,0 +1,26 @@
+sup3r.utilities.loss\_metrics.MmdLoss
+=====================================
+
+.. currentmodule:: sup3r.utilities.loss_metrics
+
+.. autoclass:: MmdLoss
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~MmdLoss.call
+      ~MmdLoss.from_config
+      ~MmdLoss.get_config
+   
+   
+
+   
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.loss_metrics.MmdMseLoss.rst b/_sources/_autosummary/sup3r.utilities.loss_metrics.MmdMseLoss.rst
new file mode 100644
index 000000000..4e34eb5bf
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.loss_metrics.MmdMseLoss.rst
@@ -0,0 +1,33 @@
+sup3r.utilities.loss\_metrics.MmdMseLoss
+========================================
+
+.. currentmodule:: sup3r.utilities.loss_metrics
+
+.. autoclass:: MmdMseLoss
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~MmdMseLoss.call
+      ~MmdMseLoss.from_config
+      ~MmdMseLoss.get_config
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~MmdMseLoss.MMD_LOSS
+      ~MmdMseLoss.MSE_LOSS
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.loss_metrics.MseExpLoss.rst b/_sources/_autosummary/sup3r.utilities.loss_metrics.MseExpLoss.rst
new file mode 100644
index 000000000..3e08795e3
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.loss_metrics.MseExpLoss.rst
@@ -0,0 +1,32 @@
+sup3r.utilities.loss\_metrics.MseExpLoss
+========================================
+
+.. currentmodule:: sup3r.utilities.loss_metrics
+
+.. autoclass:: MseExpLoss
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~MseExpLoss.call
+      ~MseExpLoss.from_config
+      ~MseExpLoss.get_config
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~MseExpLoss.MSE_LOSS
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesLoss.rst b/_sources/_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesLoss.rst
new file mode 100644
index 000000000..68fb866f0
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesLoss.rst
@@ -0,0 +1,33 @@
+sup3r.utilities.loss\_metrics.SpatialExtremesLoss
+=================================================
+
+.. currentmodule:: sup3r.utilities.loss_metrics
+
+.. autoclass:: SpatialExtremesLoss
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~SpatialExtremesLoss.call
+      ~SpatialExtremesLoss.from_config
+      ~SpatialExtremesLoss.get_config
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~SpatialExtremesLoss.EX_LOSS
+      ~SpatialExtremesLoss.MAE_LOSS
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.rst b/_sources/_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.rst
new file mode 100644
index 000000000..b09b8e4c0
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.rst
@@ -0,0 +1,32 @@
+sup3r.utilities.loss\_metrics.SpatialExtremesOnlyLoss
+=====================================================
+
+.. currentmodule:: sup3r.utilities.loss_metrics
+
+.. autoclass:: SpatialExtremesOnlyLoss
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~SpatialExtremesOnlyLoss.call
+      ~SpatialExtremesOnlyLoss.from_config
+      ~SpatialExtremesOnlyLoss.get_config
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~SpatialExtremesOnlyLoss.MAE_LOSS
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.rst b/_sources/_autosummary/sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.rst
new file mode 100644
index 000000000..991819ea4
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.rst
@@ -0,0 +1,32 @@
+sup3r.utilities.loss\_metrics.SpatialFftOnlyLoss
+================================================
+
+.. currentmodule:: sup3r.utilities.loss_metrics
+
+.. autoclass:: SpatialFftOnlyLoss
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~SpatialFftOnlyLoss.call
+      ~SpatialFftOnlyLoss.from_config
+      ~SpatialFftOnlyLoss.get_config
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~SpatialFftOnlyLoss.MAE_LOSS
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.rst b/_sources/_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.rst
new file mode 100644
index 000000000..31b566d10
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.rst
@@ -0,0 +1,34 @@
+sup3r.utilities.loss\_metrics.SpatiotemporalExtremesLoss
+========================================================
+
+.. currentmodule:: sup3r.utilities.loss_metrics
+
+.. autoclass:: SpatiotemporalExtremesLoss
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~SpatiotemporalExtremesLoss.call
+      ~SpatiotemporalExtremesLoss.from_config
+      ~SpatiotemporalExtremesLoss.get_config
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~SpatiotemporalExtremesLoss.MAE_LOSS
+      ~SpatiotemporalExtremesLoss.S_EX_LOSS
+      ~SpatiotemporalExtremesLoss.T_EX_LOSS
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.rst b/_sources/_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.rst
new file mode 100644
index 000000000..1dee4b111
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.rst
@@ -0,0 +1,32 @@
+sup3r.utilities.loss\_metrics.SpatiotemporalFftOnlyLoss
+=======================================================
+
+.. currentmodule:: sup3r.utilities.loss_metrics
+
+.. autoclass:: SpatiotemporalFftOnlyLoss
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~SpatiotemporalFftOnlyLoss.call
+      ~SpatiotemporalFftOnlyLoss.from_config
+      ~SpatiotemporalFftOnlyLoss.get_config
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~SpatiotemporalFftOnlyLoss.MAE_LOSS
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.loss_metrics.StExtremesFftLoss.rst b/_sources/_autosummary/sup3r.utilities.loss_metrics.StExtremesFftLoss.rst
new file mode 100644
index 000000000..334536fd3
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.loss_metrics.StExtremesFftLoss.rst
@@ -0,0 +1,26 @@
+sup3r.utilities.loss\_metrics.StExtremesFftLoss
+===============================================
+
+.. currentmodule:: sup3r.utilities.loss_metrics
+
+.. autoclass:: StExtremesFftLoss
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~StExtremesFftLoss.call
+      ~StExtremesFftLoss.from_config
+      ~StExtremesFftLoss.get_config
+   
+   
+
+   
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesLoss.rst b/_sources/_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesLoss.rst
new file mode 100644
index 000000000..65a61f8db
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesLoss.rst
@@ -0,0 +1,33 @@
+sup3r.utilities.loss\_metrics.TemporalExtremesLoss
+==================================================
+
+.. currentmodule:: sup3r.utilities.loss_metrics
+
+.. autoclass:: TemporalExtremesLoss
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~TemporalExtremesLoss.call
+      ~TemporalExtremesLoss.from_config
+      ~TemporalExtremesLoss.get_config
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~TemporalExtremesLoss.EX_LOSS
+      ~TemporalExtremesLoss.MAE_LOSS
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.rst b/_sources/_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.rst
new file mode 100644
index 000000000..6368c55a3
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.rst
@@ -0,0 +1,32 @@
+sup3r.utilities.loss\_metrics.TemporalExtremesOnlyLoss
+======================================================
+
+.. currentmodule:: sup3r.utilities.loss_metrics
+
+.. autoclass:: TemporalExtremesOnlyLoss
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~TemporalExtremesOnlyLoss.call
+      ~TemporalExtremesOnlyLoss.from_config
+      ~TemporalExtremesOnlyLoss.get_config
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~TemporalExtremesOnlyLoss.MAE_LOSS
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.loss_metrics.gaussian_kernel.rst b/_sources/_autosummary/sup3r.utilities.loss_metrics.gaussian_kernel.rst
new file mode 100644
index 000000000..1bf0276af
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.loss_metrics.gaussian_kernel.rst
@@ -0,0 +1,6 @@
+sup3r.utilities.loss\_metrics.gaussian\_kernel
+==============================================
+
+.. currentmodule:: sup3r.utilities.loss_metrics
+
+.. autofunction:: gaussian_kernel
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.loss_metrics.rst b/_sources/_autosummary/sup3r.utilities.loss_metrics.rst
new file mode 100644
index 000000000..11a13ab73
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.loss_metrics.rst
@@ -0,0 +1,52 @@
+sup3r.utilities.loss\_metrics
+=============================
+
+.. automodule:: sup3r.utilities.loss_metrics
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+      :toctree:
+   
+      gaussian_kernel
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      CoarseMseLoss
+      ExpLoss
+      LowResLoss
+      MaterialDerivativeLoss
+      MmdLoss
+      MmdMseLoss
+      MseExpLoss
+      SpatialExtremesLoss
+      SpatialExtremesOnlyLoss
+      SpatialFftOnlyLoss
+      SpatiotemporalExtremesLoss
+      SpatiotemporalFftOnlyLoss
+      StExtremesFftLoss
+      TemporalExtremesLoss
+      TemporalExtremesOnlyLoss
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.rst b/_sources/_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.rst
new file mode 100644
index 000000000..fdf2f4d01
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.rst
@@ -0,0 +1,56 @@
+sup3r.utilities.pytest.helpers.BatchHandlerTesterCC
+===================================================
+
+.. currentmodule:: sup3r.utilities.pytest.helpers
+
+.. autoclass:: BatchHandlerTesterCC
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~BatchHandlerTesterCC.check_enhancement_factors
+      ~BatchHandlerTesterCC.check_features
+      ~BatchHandlerTesterCC.check_shared_attr
+      ~BatchHandlerTesterCC.enqueue_batch
+      ~BatchHandlerTesterCC.enqueue_batches
+      ~BatchHandlerTesterCC.get_batch
+      ~BatchHandlerTesterCC.get_container_index
+      ~BatchHandlerTesterCC.get_queue
+      ~BatchHandlerTesterCC.get_random_container
+      ~BatchHandlerTesterCC.init_samplers
+      ~BatchHandlerTesterCC.log_queue_info
+      ~BatchHandlerTesterCC.post_init_log
+      ~BatchHandlerTesterCC.post_proc
+      ~BatchHandlerTesterCC.preflight
+      ~BatchHandlerTesterCC.sample_batch
+      ~BatchHandlerTesterCC.start
+      ~BatchHandlerTesterCC.stop
+      ~BatchHandlerTesterCC.transform
+      ~BatchHandlerTesterCC.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~BatchHandlerTesterCC.container_weights
+      ~BatchHandlerTesterCC.data
+      ~BatchHandlerTesterCC.features
+      ~BatchHandlerTesterCC.hr_shape
+      ~BatchHandlerTesterCC.lr_shape
+      ~BatchHandlerTesterCC.queue_shape
+      ~BatchHandlerTesterCC.queue_thread
+      ~BatchHandlerTesterCC.running
+      ~BatchHandlerTesterCC.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.rst b/_sources/_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.rst
new file mode 100644
index 000000000..882578656
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.rst
@@ -0,0 +1,60 @@
+sup3r.utilities.pytest.helpers.BatchHandlerTesterDC
+===================================================
+
+.. currentmodule:: sup3r.utilities.pytest.helpers
+
+.. autoclass:: BatchHandlerTesterDC
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~BatchHandlerTesterDC.check_enhancement_factors
+      ~BatchHandlerTesterDC.check_features
+      ~BatchHandlerTesterDC.check_shared_attr
+      ~BatchHandlerTesterDC.enqueue_batch
+      ~BatchHandlerTesterDC.enqueue_batches
+      ~BatchHandlerTesterDC.get_batch
+      ~BatchHandlerTesterDC.get_container_index
+      ~BatchHandlerTesterDC.get_queue
+      ~BatchHandlerTesterDC.get_random_container
+      ~BatchHandlerTesterDC.init_samplers
+      ~BatchHandlerTesterDC.log_queue_info
+      ~BatchHandlerTesterDC.post_init_log
+      ~BatchHandlerTesterDC.post_proc
+      ~BatchHandlerTesterDC.preflight
+      ~BatchHandlerTesterDC.sample_batch
+      ~BatchHandlerTesterDC.start
+      ~BatchHandlerTesterDC.stop
+      ~BatchHandlerTesterDC.transform
+      ~BatchHandlerTesterDC.update_record
+      ~BatchHandlerTesterDC.update_weights
+      ~BatchHandlerTesterDC.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~BatchHandlerTesterDC.container_weights
+      ~BatchHandlerTesterDC.data
+      ~BatchHandlerTesterDC.features
+      ~BatchHandlerTesterDC.hr_shape
+      ~BatchHandlerTesterDC.lr_shape
+      ~BatchHandlerTesterDC.queue_shape
+      ~BatchHandlerTesterDC.queue_thread
+      ~BatchHandlerTesterDC.running
+      ~BatchHandlerTesterDC.shape
+      ~BatchHandlerTesterDC.spatial_weights
+      ~BatchHandlerTesterDC.temporal_weights
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterFactory.rst b/_sources/_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterFactory.rst
new file mode 100644
index 000000000..8706c1eae
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterFactory.rst
@@ -0,0 +1,6 @@
+sup3r.utilities.pytest.helpers.BatchHandlerTesterFactory
+========================================================
+
+.. currentmodule:: sup3r.utilities.pytest.helpers
+
+.. autofunction:: BatchHandlerTesterFactory
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.pytest.helpers.DualSamplerTesterCC.rst b/_sources/_autosummary/sup3r.utilities.pytest.helpers.DualSamplerTesterCC.rst
new file mode 100644
index 000000000..466921c03
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.pytest.helpers.DualSamplerTesterCC.rst
@@ -0,0 +1,45 @@
+sup3r.utilities.pytest.helpers.DualSamplerTesterCC
+==================================================
+
+.. currentmodule:: sup3r.utilities.pytest.helpers
+
+.. autoclass:: DualSamplerTesterCC
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~DualSamplerTesterCC.check_for_consistent_shapes
+      ~DualSamplerTesterCC.get_features
+      ~DualSamplerTesterCC.get_middle_days
+      ~DualSamplerTesterCC.get_sample_index
+      ~DualSamplerTesterCC.post_init_log
+      ~DualSamplerTesterCC.preflight
+      ~DualSamplerTesterCC.reduce_high_res_sub_daily
+      ~DualSamplerTesterCC.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~DualSamplerTesterCC.data
+      ~DualSamplerTesterCC.hr_exo_features
+      ~DualSamplerTesterCC.hr_features
+      ~DualSamplerTesterCC.hr_features_ind
+      ~DualSamplerTesterCC.hr_out_features
+      ~DualSamplerTesterCC.hr_sample_shape
+      ~DualSamplerTesterCC.lr_only_features
+      ~DualSamplerTesterCC.sample_shape
+      ~DualSamplerTesterCC.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.pytest.helpers.DummyData.rst b/_sources/_autosummary/sup3r.utilities.pytest.helpers.DummyData.rst
new file mode 100644
index 000000000..e5cbc7a5f
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.pytest.helpers.DummyData.rst
@@ -0,0 +1,32 @@
+sup3r.utilities.pytest.helpers.DummyData
+========================================
+
+.. currentmodule:: sup3r.utilities.pytest.helpers
+
+.. autoclass:: DummyData
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~DummyData.post_init_log
+      ~DummyData.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~DummyData.data
+      ~DummyData.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.pytest.helpers.DummySampler.rst b/_sources/_autosummary/sup3r.utilities.pytest.helpers.DummySampler.rst
new file mode 100644
index 000000000..74b190d81
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.pytest.helpers.DummySampler.rst
@@ -0,0 +1,41 @@
+sup3r.utilities.pytest.helpers.DummySampler
+===========================================
+
+.. currentmodule:: sup3r.utilities.pytest.helpers
+
+.. autoclass:: DummySampler
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~DummySampler.get_sample_index
+      ~DummySampler.post_init_log
+      ~DummySampler.preflight
+      ~DummySampler.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~DummySampler.data
+      ~DummySampler.hr_exo_features
+      ~DummySampler.hr_features
+      ~DummySampler.hr_features_ind
+      ~DummySampler.hr_out_features
+      ~DummySampler.hr_sample_shape
+      ~DummySampler.lr_only_features
+      ~DummySampler.sample_shape
+      ~DummySampler.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.pytest.helpers.SamplerTester.rst b/_sources/_autosummary/sup3r.utilities.pytest.helpers.SamplerTester.rst
new file mode 100644
index 000000000..6ffda8476
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.pytest.helpers.SamplerTester.rst
@@ -0,0 +1,41 @@
+sup3r.utilities.pytest.helpers.SamplerTester
+============================================
+
+.. currentmodule:: sup3r.utilities.pytest.helpers
+
+.. autoclass:: SamplerTester
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~SamplerTester.get_sample_index
+      ~SamplerTester.post_init_log
+      ~SamplerTester.preflight
+      ~SamplerTester.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~SamplerTester.data
+      ~SamplerTester.hr_exo_features
+      ~SamplerTester.hr_features
+      ~SamplerTester.hr_features_ind
+      ~SamplerTester.hr_out_features
+      ~SamplerTester.hr_sample_shape
+      ~SamplerTester.lr_only_features
+      ~SamplerTester.sample_shape
+      ~SamplerTester.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.pytest.helpers.SamplerTesterDC.rst b/_sources/_autosummary/sup3r.utilities.pytest.helpers.SamplerTesterDC.rst
new file mode 100644
index 000000000..fdf19392e
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.pytest.helpers.SamplerTesterDC.rst
@@ -0,0 +1,42 @@
+sup3r.utilities.pytest.helpers.SamplerTesterDC
+==============================================
+
+.. currentmodule:: sup3r.utilities.pytest.helpers
+
+.. autoclass:: SamplerTesterDC
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~SamplerTesterDC.get_sample_index
+      ~SamplerTesterDC.post_init_log
+      ~SamplerTesterDC.preflight
+      ~SamplerTesterDC.update_weights
+      ~SamplerTesterDC.wrap
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~SamplerTesterDC.data
+      ~SamplerTesterDC.hr_exo_features
+      ~SamplerTesterDC.hr_features
+      ~SamplerTesterDC.hr_features_ind
+      ~SamplerTesterDC.hr_out_features
+      ~SamplerTesterDC.hr_sample_shape
+      ~SamplerTesterDC.lr_only_features
+      ~SamplerTesterDC.sample_shape
+      ~SamplerTesterDC.shape
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.pytest.helpers.make_collect_chunks.rst b/_sources/_autosummary/sup3r.utilities.pytest.helpers.make_collect_chunks.rst
new file mode 100644
index 000000000..9dda22e0c
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.pytest.helpers.make_collect_chunks.rst
@@ -0,0 +1,6 @@
+sup3r.utilities.pytest.helpers.make\_collect\_chunks
+====================================================
+
+.. currentmodule:: sup3r.utilities.pytest.helpers
+
+.. autofunction:: make_collect_chunks
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.pytest.helpers.make_fake_cs_ratio_files.rst b/_sources/_autosummary/sup3r.utilities.pytest.helpers.make_fake_cs_ratio_files.rst
new file mode 100644
index 000000000..91e69890e
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.pytest.helpers.make_fake_cs_ratio_files.rst
@@ -0,0 +1,6 @@
+sup3r.utilities.pytest.helpers.make\_fake\_cs\_ratio\_files
+===========================================================
+
+.. currentmodule:: sup3r.utilities.pytest.helpers
+
+.. autofunction:: make_fake_cs_ratio_files
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.pytest.helpers.make_fake_dset.rst b/_sources/_autosummary/sup3r.utilities.pytest.helpers.make_fake_dset.rst
new file mode 100644
index 000000000..ff981c4ac
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.pytest.helpers.make_fake_dset.rst
@@ -0,0 +1,6 @@
+sup3r.utilities.pytest.helpers.make\_fake\_dset
+===============================================
+
+.. currentmodule:: sup3r.utilities.pytest.helpers
+
+.. autofunction:: make_fake_dset
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.pytest.helpers.make_fake_h5_chunks.rst b/_sources/_autosummary/sup3r.utilities.pytest.helpers.make_fake_h5_chunks.rst
new file mode 100644
index 000000000..1c5953e69
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.pytest.helpers.make_fake_h5_chunks.rst
@@ -0,0 +1,6 @@
+sup3r.utilities.pytest.helpers.make\_fake\_h5\_chunks
+=====================================================
+
+.. currentmodule:: sup3r.utilities.pytest.helpers
+
+.. autofunction:: make_fake_h5_chunks
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.pytest.helpers.make_fake_nc_file.rst b/_sources/_autosummary/sup3r.utilities.pytest.helpers.make_fake_nc_file.rst
new file mode 100644
index 000000000..0c991cfb5
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.pytest.helpers.make_fake_nc_file.rst
@@ -0,0 +1,6 @@
+sup3r.utilities.pytest.helpers.make\_fake\_nc\_file
+===================================================
+
+.. currentmodule:: sup3r.utilities.pytest.helpers
+
+.. autofunction:: make_fake_nc_file
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.pytest.helpers.make_fake_tif.rst b/_sources/_autosummary/sup3r.utilities.pytest.helpers.make_fake_tif.rst
new file mode 100644
index 000000000..18809e491
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.pytest.helpers.make_fake_tif.rst
@@ -0,0 +1,6 @@
+sup3r.utilities.pytest.helpers.make\_fake\_tif
+==============================================
+
+.. currentmodule:: sup3r.utilities.pytest.helpers
+
+.. autofunction:: make_fake_tif
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.pytest.helpers.rst b/_sources/_autosummary/sup3r.utilities.pytest.helpers.rst
new file mode 100644
index 000000000..bc519d4e1
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.pytest.helpers.rst
@@ -0,0 +1,51 @@
+sup3r.utilities.pytest.helpers
+==============================
+
+.. automodule:: sup3r.utilities.pytest.helpers
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+      :toctree:
+   
+      BatchHandlerTesterFactory
+      make_collect_chunks
+      make_fake_cs_ratio_files
+      make_fake_dset
+      make_fake_h5_chunks
+      make_fake_nc_file
+      make_fake_tif
+      test_sampler_factory
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      BatchHandlerTesterCC
+      BatchHandlerTesterDC
+      DualSamplerTesterCC
+      DummyData
+      DummySampler
+      SamplerTester
+      SamplerTesterDC
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.utilities.pytest.helpers.test_sampler_factory.rst b/_sources/_autosummary/sup3r.utilities.pytest.helpers.test_sampler_factory.rst
new file mode 100644
index 000000000..0961fd3fc
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.pytest.helpers.test_sampler_factory.rst
@@ -0,0 +1,6 @@
+sup3r.utilities.pytest.helpers.test\_sampler\_factory
+=====================================================
+
+.. currentmodule:: sup3r.utilities.pytest.helpers
+
+.. autofunction:: test_sampler_factory
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.pytest.rst b/_sources/_autosummary/sup3r.utilities.pytest.rst
new file mode 100644
index 000000000..85755d8e1
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.pytest.rst
@@ -0,0 +1,30 @@
+sup3r.utilities.pytest
+======================
+
+.. automodule:: sup3r.utilities.pytest
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
+.. autosummary::
+   :toctree:
+   :template: custom-module-template.rst
+   :recursive:
+
+   helpers
+
diff --git a/_sources/_autosummary/sup3r.utilities.rst b/_sources/_autosummary/sup3r.utilities.rst
new file mode 100644
index 000000000..a5464793c
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.rst
@@ -0,0 +1,43 @@
+sup3r.utilities
+===============
+
+.. automodule:: sup3r.utilities
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      ModuleName
+   
+   
+
+   
+   
+   
+
+
+
+.. autosummary::
+   :toctree:
+   :template: custom-module-template.rst
+   :recursive:
+
+   cli
+   era_downloader
+   interpolation
+   loss_metrics
+   pytest
+   utilities
+
diff --git a/_sources/_autosummary/sup3r.utilities.utilities.Timer.rst b/_sources/_autosummary/sup3r.utilities.utilities.Timer.rst
new file mode 100644
index 000000000..fbd3ddf75
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.utilities.Timer.rst
@@ -0,0 +1,32 @@
+sup3r.utilities.utilities.Timer
+===============================
+
+.. currentmodule:: sup3r.utilities.utilities
+
+.. autoclass:: Timer
+   :members:
+   :show-inheritance:
+   :inherited-members:
+   :special-members: __call__, __add__, __mul__
+
+   
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~Timer.start
+      ~Timer.stop
+   
+   
+
+   
+   
+   .. rubric:: Attributes
+
+   .. autosummary::
+   
+      ~Timer.elapsed
+      ~Timer.elapsed_str
+   
+   
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.utilities.generate_random_string.rst b/_sources/_autosummary/sup3r.utilities.utilities.generate_random_string.rst
new file mode 100644
index 000000000..22374e6f9
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.utilities.generate_random_string.rst
@@ -0,0 +1,6 @@
+sup3r.utilities.utilities.generate\_random\_string
+==================================================
+
+.. currentmodule:: sup3r.utilities.utilities
+
+.. autofunction:: generate_random_string
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.utilities.nn_fill_array.rst b/_sources/_autosummary/sup3r.utilities.utilities.nn_fill_array.rst
new file mode 100644
index 000000000..efc8c0c0a
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.utilities.nn_fill_array.rst
@@ -0,0 +1,6 @@
+sup3r.utilities.utilities.nn\_fill\_array
+=========================================
+
+.. currentmodule:: sup3r.utilities.utilities
+
+.. autofunction:: nn_fill_array
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.utilities.pd_date_range.rst b/_sources/_autosummary/sup3r.utilities.utilities.pd_date_range.rst
new file mode 100644
index 000000000..a993e982f
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.utilities.pd_date_range.rst
@@ -0,0 +1,6 @@
+sup3r.utilities.utilities.pd\_date\_range
+=========================================
+
+.. currentmodule:: sup3r.utilities.utilities
+
+.. autofunction:: pd_date_range
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.utilities.preprocess_datasets.rst b/_sources/_autosummary/sup3r.utilities.utilities.preprocess_datasets.rst
new file mode 100644
index 000000000..26a66a3da
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.utilities.preprocess_datasets.rst
@@ -0,0 +1,6 @@
+sup3r.utilities.utilities.preprocess\_datasets
+==============================================
+
+.. currentmodule:: sup3r.utilities.utilities
+
+.. autofunction:: preprocess_datasets
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.utilities.rst b/_sources/_autosummary/sup3r.utilities.utilities.rst
new file mode 100644
index 000000000..ea22352de
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.utilities.rst
@@ -0,0 +1,46 @@
+sup3r.utilities.utilities
+=========================
+
+.. automodule:: sup3r.utilities.utilities
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+      :toctree:
+   
+      generate_random_string
+      nn_fill_array
+      pd_date_range
+      preprocess_datasets
+      safe_cast
+      safe_serialize
+      spatial_coarsening
+      temporal_coarsening
+      xr_open_mfdataset
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+      :toctree:
+      :template: custom-class-template.rst
+   
+      Timer
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/_sources/_autosummary/sup3r.utilities.utilities.safe_cast.rst b/_sources/_autosummary/sup3r.utilities.utilities.safe_cast.rst
new file mode 100644
index 000000000..41f91429d
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.utilities.safe_cast.rst
@@ -0,0 +1,6 @@
+sup3r.utilities.utilities.safe\_cast
+====================================
+
+.. currentmodule:: sup3r.utilities.utilities
+
+.. autofunction:: safe_cast
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.utilities.safe_serialize.rst b/_sources/_autosummary/sup3r.utilities.utilities.safe_serialize.rst
new file mode 100644
index 000000000..83350c0b2
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.utilities.safe_serialize.rst
@@ -0,0 +1,6 @@
+sup3r.utilities.utilities.safe\_serialize
+=========================================
+
+.. currentmodule:: sup3r.utilities.utilities
+
+.. autofunction:: safe_serialize
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.utilities.spatial_coarsening.rst b/_sources/_autosummary/sup3r.utilities.utilities.spatial_coarsening.rst
new file mode 100644
index 000000000..4d137b75e
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.utilities.spatial_coarsening.rst
@@ -0,0 +1,6 @@
+sup3r.utilities.utilities.spatial\_coarsening
+=============================================
+
+.. currentmodule:: sup3r.utilities.utilities
+
+.. autofunction:: spatial_coarsening
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.utilities.temporal_coarsening.rst b/_sources/_autosummary/sup3r.utilities.utilities.temporal_coarsening.rst
new file mode 100644
index 000000000..12068d7ba
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.utilities.temporal_coarsening.rst
@@ -0,0 +1,6 @@
+sup3r.utilities.utilities.temporal\_coarsening
+==============================================
+
+.. currentmodule:: sup3r.utilities.utilities
+
+.. autofunction:: temporal_coarsening
\ No newline at end of file
diff --git a/_sources/_autosummary/sup3r.utilities.utilities.xr_open_mfdataset.rst b/_sources/_autosummary/sup3r.utilities.utilities.xr_open_mfdataset.rst
new file mode 100644
index 000000000..ac2932aa9
--- /dev/null
+++ b/_sources/_autosummary/sup3r.utilities.utilities.xr_open_mfdataset.rst
@@ -0,0 +1,6 @@
+sup3r.utilities.utilities.xr\_open\_mfdataset
+=============================================
+
+.. currentmodule:: sup3r.utilities.utilities
+
+.. autofunction:: xr_open_mfdataset
\ No newline at end of file
diff --git a/_sources/_cli/cli.rst b/_sources/_cli/cli.rst
new file mode 100644
index 000000000..b3a40aaa2
--- /dev/null
+++ b/_sources/_cli/cli.rst
@@ -0,0 +1,6 @@
+Command Line Interfaces (CLIs)
+===============================
+
+.. toctree::
+
+   sup3r
diff --git a/_sources/_cli/sup3r.rst b/_sources/_cli/sup3r.rst
new file mode 100644
index 000000000..b31aee9b2
--- /dev/null
+++ b/_sources/_cli/sup3r.rst
@@ -0,0 +1,3 @@
+.. click:: sup3r.cli:main
+   :prog: sup3r
+   :show-nested:
diff --git a/_sources/api.rst b/_sources/api.rst
new file mode 100644
index 000000000..ef2adc14d
--- /dev/null
+++ b/_sources/api.rst
@@ -0,0 +1,6 @@
+.. autosummary::
+   :toctree: _autosummary
+   :template: custom-module-template.rst
+   :recursive:
+
+   sup3r
diff --git a/_sources/examples/examples.rst b/_sources/examples/examples.rst
new file mode 100644
index 000000000..c60da1750
--- /dev/null
+++ b/_sources/examples/examples.rst
@@ -0,0 +1,7 @@
+Examples
+========
+
+.. toctree::
+
+    sup3rcc
+    sup3rwind
diff --git a/_sources/examples/sup3rcc.rst b/_sources/examples/sup3rcc.rst
new file mode 100644
index 000000000..b51748566
--- /dev/null
+++ b/_sources/examples/sup3rcc.rst
@@ -0,0 +1 @@
+.. include:: ../../../examples/sup3rcc/README.rst
\ No newline at end of file
diff --git a/_sources/examples/sup3rwind.rst b/_sources/examples/sup3rwind.rst
new file mode 100644
index 000000000..9f33c3fe9
--- /dev/null
+++ b/_sources/examples/sup3rwind.rst
@@ -0,0 +1 @@
+.. include:: ../../../examples/sup3rwind/README.rst
\ No newline at end of file
diff --git a/_sources/index.rst b/_sources/index.rst
new file mode 100644
index 000000000..6b7d5b0aa
--- /dev/null
+++ b/_sources/index.rst
@@ -0,0 +1,15 @@
+.. toctree::
+   :hidden:
+
+   Home page <self>
+   Installation and Usage <misc/installation_usage>
+   Examples <examples/examples>
+   API reference <_autosummary/sup3r>
+   CLI reference <_cli/cli>
+
+#################
+Welcome to Sup3r!
+#################
+
+.. include:: ../../README.rst
+   :start-after: inclusion-intro
diff --git a/_sources/misc/installation.rst b/_sources/misc/installation.rst
new file mode 100644
index 000000000..baa709b5a
--- /dev/null
+++ b/_sources/misc/installation.rst
@@ -0,0 +1,6 @@
+Installation
+============
+
+.. include:: ../../../README.rst
+   :start-after: Installing sup3r
+   :end-before: Recommended Citation
diff --git a/_sources/misc/installation_usage.rst b/_sources/misc/installation_usage.rst
new file mode 100644
index 000000000..c56c1b2d0
--- /dev/null
+++ b/_sources/misc/installation_usage.rst
@@ -0,0 +1,6 @@
+Installation and Usage
+======================
+
+.. toctree::
+
+    installation
diff --git a/_static/basic.css b/_static/basic.css
new file mode 100644
index 000000000..2a9e4114a
--- /dev/null
+++ b/_static/basic.css
@@ -0,0 +1,914 @@
+/*
+ * Sphinx stylesheet -- basic theme.
+ */
+
+/* -- main layout ----------------------------------------------------------- */
+
+div.clearer {
+    clear: both;
+}
+
+div.section::after {
+    display: block;
+    content: '';
+    clear: left;
+}
+
+/* -- relbar ---------------------------------------------------------------- */
+
+div.related {
+    width: 100%;
+    font-size: 90%;
+}
+
+div.related h3 {
+    display: none;
+}
+
+div.related ul {
+    margin: 0;
+    padding: 0 0 0 10px;
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+}
+
+div.related li {
+    display: inline;
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+
+
+img {
+    border: 0;
+    max-width: 100%;
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+
+/* -- search page ----------------------------------------------------------- */
+
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+    margin-top: 10px;
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+
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+    border-bottom: 1px solid #ddd;
+    margin: 1em 0 1em 0;
+    padding: 0.4em;
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+
+/* -- domain module index --------------------------------------------------- */
+
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+    padding: 2px;
+    border-collapse: collapse;
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+
+/* -- general body styles --------------------------------------------------- */
+
+div.body {
+    min-width: 360px;
+    max-width: 800px;
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+
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+
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+}
+
+/* C++ specific styling */
+
+.sig-inline.c-texpr,
+.sig-inline.cpp-texpr {
+	font-family: unset;
+}
+
+.sig.c   .k, .sig.c   .kt,
+.sig.cpp .k, .sig.cpp .kt {
+	color: #0033B3;
+}
+
+.sig.c   .m,
+.sig.cpp .m {
+	color: #1750EB;
+}
+
+.sig.c   .s, .sig.c   .sc,
+.sig.cpp .s, .sig.cpp .sc {
+	color: #067D17;
+}
+
+
+/* -- other body styles ----------------------------------------------------- */
+
+ol.arabic {
+    list-style: decimal;
+}
+
+ol.loweralpha {
+    list-style: lower-alpha;
+}
+
+ol.upperalpha {
+    list-style: upper-alpha;
+}
+
+ol.lowerroman {
+    list-style: lower-roman;
+}
+
+ol.upperroman {
+    list-style: upper-roman;
+}
+
+:not(li) > ol > li:first-child > :first-child,
+:not(li) > ul > li:first-child > :first-child {
+    margin-top: 0px;
+}
+
+:not(li) > ol > li:last-child > :last-child,
+:not(li) > ul > li:last-child > :last-child {
+    margin-bottom: 0px;
+}
+
+ol.simple ol p,
+ol.simple ul p,
+ul.simple ol p,
+ul.simple ul p {
+    margin-top: 0;
+}
+
+ol.simple > li:not(:first-child) > p,
+ul.simple > li:not(:first-child) > p {
+    margin-top: 0;
+}
+
+ol.simple p,
+ul.simple p {
+    margin-bottom: 0;
+}
+
+aside.footnote > span,
+div.citation > span {
+    float: left;
+}
+aside.footnote > span:last-of-type,
+div.citation > span:last-of-type {
+  padding-right: 0.5em;
+}
+aside.footnote > p {
+  margin-left: 2em;
+}
+div.citation > p {
+  margin-left: 4em;
+}
+aside.footnote > p:last-of-type,
+div.citation > p:last-of-type {
+    margin-bottom: 0em;
+}
+aside.footnote > p:last-of-type:after,
+div.citation > p:last-of-type:after {
+    content: "";
+    clear: both;
+}
+
+dl.field-list {
+    display: grid;
+    grid-template-columns: fit-content(30%) auto;
+}
+
+dl.field-list > dt {
+    font-weight: bold;
+    word-break: break-word;
+    padding-left: 0.5em;
+    padding-right: 5px;
+}
+
+dl.field-list > dd {
+    padding-left: 0.5em;
+    margin-top: 0em;
+    margin-left: 0em;
+    margin-bottom: 0em;
+}
+
+dl {
+    margin-bottom: 15px;
+}
+
+dd > :first-child {
+    margin-top: 0px;
+}
+
+dd ul, dd table {
+    margin-bottom: 10px;
+}
+
+dd {
+    margin-top: 3px;
+    margin-bottom: 10px;
+    margin-left: 30px;
+}
+
+.sig dd {
+    margin-top: 0px;
+    margin-bottom: 0px;
+}
+
+.sig dl {
+    margin-top: 0px;
+    margin-bottom: 0px;
+}
+
+dl > dd:last-child,
+dl > dd:last-child > :last-child {
+    margin-bottom: 0;
+}
+
+dt:target, span.highlighted {
+    background-color: #fbe54e;
+}
+
+rect.highlighted {
+    fill: #fbe54e;
+}
+
+dl.glossary dt {
+    font-weight: bold;
+    font-size: 1.1em;
+}
+
+.versionmodified {
+    font-style: italic;
+}
+
+.system-message {
+    background-color: #fda;
+    padding: 5px;
+    border: 3px solid red;
+}
+
+.footnote:target  {
+    background-color: #ffa;
+}
+
+.line-block {
+    display: block;
+    margin-top: 1em;
+    margin-bottom: 1em;
+}
+
+.line-block .line-block {
+    margin-top: 0;
+    margin-bottom: 0;
+    margin-left: 1.5em;
+}
+
+.guilabel, .menuselection {
+    font-family: sans-serif;
+}
+
+.accelerator {
+    text-decoration: underline;
+}
+
+.classifier {
+    font-style: oblique;
+}
+
+.classifier:before {
+    font-style: normal;
+    margin: 0 0.5em;
+    content: ":";
+    display: inline-block;
+}
+
+abbr, acronym {
+    border-bottom: dotted 1px;
+    cursor: help;
+}
+
+.translated {
+    background-color: rgba(207, 255, 207, 0.2)
+}
+
+.untranslated {
+    background-color: rgba(255, 207, 207, 0.2)
+}
+
+/* -- code displays --------------------------------------------------------- */
+
+pre {
+    overflow: auto;
+    overflow-y: hidden;  /* fixes display issues on Chrome browsers */
+}
+
+pre, div[class*="highlight-"] {
+    clear: both;
+}
+
+span.pre {
+    -moz-hyphens: none;
+    -ms-hyphens: none;
+    -webkit-hyphens: none;
+    hyphens: none;
+    white-space: nowrap;
+}
+
+div[class*="highlight-"] {
+    margin: 1em 0;
+}
+
+td.linenos pre {
+    border: 0;
+    background-color: transparent;
+    color: #aaa;
+}
+
+table.highlighttable {
+    display: block;
+}
+
+table.highlighttable tbody {
+    display: block;
+}
+
+table.highlighttable tr {
+    display: flex;
+}
+
+table.highlighttable td {
+    margin: 0;
+    padding: 0;
+}
+
+table.highlighttable td.linenos {
+    padding-right: 0.5em;
+}
+
+table.highlighttable td.code {
+    flex: 1;
+    overflow: hidden;
+}
+
+.highlight .hll {
+    display: block;
+}
+
+div.highlight pre,
+table.highlighttable pre {
+    margin: 0;
+}
+
+div.code-block-caption + div {
+    margin-top: 0;
+}
+
+div.code-block-caption {
+    margin-top: 1em;
+    padding: 2px 5px;
+    font-size: small;
+}
+
+div.code-block-caption code {
+    background-color: transparent;
+}
+
+table.highlighttable td.linenos,
+span.linenos,
+div.highlight span.gp {  /* gp: Generic.Prompt */
+  user-select: none;
+  -webkit-user-select: text; /* Safari fallback only */
+  -webkit-user-select: none; /* Chrome/Safari */
+  -moz-user-select: none; /* Firefox */
+  -ms-user-select: none; /* IE10+ */
+}
+
+div.code-block-caption span.caption-number {
+    padding: 0.1em 0.3em;
+    font-style: italic;
+}
+
+div.code-block-caption span.caption-text {
+}
+
+div.literal-block-wrapper {
+    margin: 1em 0;
+}
+
+code.xref, a code {
+    background-color: transparent;
+    font-weight: bold;
+}
+
+h1 code, h2 code, h3 code, h4 code, h5 code, h6 code {
+    background-color: transparent;
+}
+
+.viewcode-link {
+    float: right;
+}
+
+.viewcode-back {
+    float: right;
+    font-family: sans-serif;
+}
+
+div.viewcode-block:target {
+    margin: -1px -10px;
+    padding: 0 10px;
+}
+
+/* -- math display ---------------------------------------------------------- */
+
+img.math {
+    vertical-align: middle;
+}
+
+div.body div.math p {
+    text-align: center;
+}
+
+span.eqno {
+    float: right;
+}
+
+span.eqno a.headerlink {
+    position: absolute;
+    z-index: 1;
+}
+
+div.math:hover a.headerlink {
+    visibility: visible;
+}
+
+/* -- printout stylesheet --------------------------------------------------- */
+
+@media print {
+    div.document,
+    div.documentwrapper,
+    div.bodywrapper {
+        margin: 0 !important;
+        width: 100%;
+    }
+
+    div.sphinxsidebar,
+    div.related,
+    div.footer,
+    #top-link {
+        display: none;
+    }
+}
\ No newline at end of file
diff --git a/_static/check-solid.svg b/_static/check-solid.svg
new file mode 100644
index 000000000..92fad4b5c
--- /dev/null
+++ b/_static/check-solid.svg
@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-check" width="44" height="44" viewBox="0 0 24 24" stroke-width="2" stroke="#22863a" fill="none" stroke-linecap="round" stroke-linejoin="round">
+  <path stroke="none" d="M0 0h24v24H0z" fill="none"/>
+  <path d="M5 12l5 5l10 -10" />
+</svg>
diff --git a/_static/clipboard.min.js b/_static/clipboard.min.js
new file mode 100644
index 000000000..54b3c4638
--- /dev/null
+++ b/_static/clipboard.min.js
@@ -0,0 +1,7 @@
+/*!
+ * clipboard.js v2.0.8
+ * https://clipboardjs.com/
+ *
+ * Licensed MIT © Zeno Rocha
+ */
+!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.ClipboardJS=e():t.ClipboardJS=e()}(this,function(){return n={686:function(t,e,n){"use strict";n.d(e,{default:function(){return o}});var e=n(279),i=n.n(e),e=n(370),u=n.n(e),e=n(817),c=n.n(e);function a(t){try{return document.execCommand(t)}catch(t){return}}var f=function(t){t=c()(t);return a("cut"),t};var l=function(t){var e,n,o,r=1<arguments.length&&void 0!==arguments[1]?arguments[1]:{container:document.body},i="";return"string"==typeof t?(e=t,n="rtl"===document.documentElement.getAttribute("dir"),(o=document.createElement("textarea")).style.fontSize="12pt",o.style.border="0",o.style.padding="0",o.style.margin="0",o.style.position="absolute",o.style[n?"right":"left"]="-9999px",n=window.pageYOffset||document.documentElement.scrollTop,o.style.top="".concat(n,"px"),o.setAttribute("readonly",""),o.value=e,o=o,r.container.appendChild(o),i=c()(o),a("copy"),o.remove()):(i=c()(t),a("copy")),i};function r(t){return(r="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&"function"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?"symbol":typeof t})(t)}var s=function(){var t=0<arguments.length&&void 0!==arguments[0]?arguments[0]:{},e=t.action,n=void 0===e?"copy":e,o=t.container,e=t.target,t=t.text;if("copy"!==n&&"cut"!==n)throw new Error('Invalid "action" value, use either "copy" or "cut"');if(void 0!==e){if(!e||"object"!==r(e)||1!==e.nodeType)throw new Error('Invalid "target" value, use a valid Element');if("copy"===n&&e.hasAttribute("disabled"))throw new Error('Invalid "target" attribute. 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You can\'t cut text from elements with "readonly" or "disabled" attributes')}return t?l(t,{container:o}):e?"cut"===n?f(e):l(e,{container:o}):void 0};function d(t){return(d="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&"function"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?"symbol":typeof t})(t)}function p(t,e){for(var n=0;n<e.length;n++){var o=e[n];o.enumerable=o.enumerable||!1,o.configurable=!0,"value"in o&&(o.writable=!0),Object.defineProperty(t,o.key,o)}}function y(t,e){return(y=Object.setPrototypeOf||function(t,e){return t.__proto__=e,t})(t,e)}function h(n){var o=function(){if("undefined"==typeof Reflect||!Reflect.construct)return!1;if(Reflect.construct.sham)return!1;if("function"==typeof Proxy)return!0;try{return Date.prototype.toString.call(Reflect.construct(Date,[],function(){})),!0}catch(t){return!1}}();return function(){var t,e=m(n);return t=o?(t=m(this).constructor,Reflect.construct(e,arguments,t)):e.apply(this,arguments),e=this,!(t=t)||"object"!==d(t)&&"function"!=typeof t?function(t){if(void 0!==t)return t;throw new ReferenceError("this hasn't been initialised - super() hasn't been called")}(e):t}}function m(t){return(m=Object.setPrototypeOf?Object.getPrototypeOf:function(t){return t.__proto__||Object.getPrototypeOf(t)})(t)}function v(t,e){t="data-clipboard-".concat(t);if(e.hasAttribute(t))return e.getAttribute(t)}var o=function(){!function(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Super expression must either be null or a function");t.prototype=Object.create(e&&e.prototype,{constructor:{value:t,writable:!0,configurable:!0}}),e&&y(t,e)}(r,i());var t,e,n,o=h(r);function r(t,e){var n;return function(t){if(!(t instanceof r))throw new TypeError("Cannot call a class as a function")}(this),(n=o.call(this)).resolveOptions(e),n.listenClick(t),n}return t=r,n=[{key:"copy",value:function(t){var e=1<arguments.length&&void 0!==arguments[1]?arguments[1]:{container:document.body};return l(t,e)}},{key:"cut",value:function(t){return f(t)}},{key:"isSupported",value:function(){var t=0<arguments.length&&void 0!==arguments[0]?arguments[0]:["copy","cut"],t="string"==typeof t?[t]:t,e=!!document.queryCommandSupported;return t.forEach(function(t){e=e&&!!document.queryCommandSupported(t)}),e}}],(e=[{key:"resolveOptions",value:function(){var t=0<arguments.length&&void 0!==arguments[0]?arguments[0]:{};this.action="function"==typeof t.action?t.action:this.defaultAction,this.target="function"==typeof t.target?t.target:this.defaultTarget,this.text="function"==typeof t.text?t.text:this.defaultText,this.container="object"===d(t.container)?t.container:document.body}},{key:"listenClick",value:function(t){var e=this;this.listener=u()(t,"click",function(t){return e.onClick(t)})}},{key:"onClick",value:function(t){var e=t.delegateTarget||t.currentTarget,t=s({action:this.action(e),container:this.container,target:this.target(e),text:this.text(e)});this.emit(t?"success":"error",{action:this.action,text:t,trigger:e,clearSelection:function(){e&&e.focus(),document.activeElement.blur(),window.getSelection().removeAllRanges()}})}},{key:"defaultAction",value:function(t){return v("action",t)}},{key:"defaultTarget",value:function(t){t=v("target",t);if(t)return document.querySelector(t)}},{key:"defaultText",value:function(t){return v("text",t)}},{key:"destroy",value:function(){this.listener.destroy()}}])&&p(t.prototype,e),n&&p(t,n),r}()},828:function(t){var e;"undefined"==typeof Element||Element.prototype.matches||((e=Element.prototype).matches=e.matchesSelector||e.mozMatchesSelector||e.msMatchesSelector||e.oMatchesSelector||e.webkitMatchesSelector),t.exports=function(t,e){for(;t&&9!==t.nodeType;){if("function"==typeof t.matches&&t.matches(e))return t;t=t.parentNode}}},438:function(t,e,n){var u=n(828);function 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f=n(879),l=n(438);t.exports=function(t,e,n){if(!t&&!e&&!n)throw new Error("Missing required arguments");if(!f.string(e))throw new TypeError("Second argument must be a String");if(!f.fn(n))throw new TypeError("Third argument must be a Function");if(f.node(t))return c=e,a=n,(u=t).addEventListener(c,a),{destroy:function(){u.removeEventListener(c,a)}};if(f.nodeList(t))return o=t,r=e,i=n,Array.prototype.forEach.call(o,function(t){t.addEventListener(r,i)}),{destroy:function(){Array.prototype.forEach.call(o,function(t){t.removeEventListener(r,i)})}};if(f.string(t))return t=t,e=e,n=n,l(document.body,t,e,n);throw new TypeError("First argument must be a String, HTMLElement, HTMLCollection, or NodeList");var o,r,i,u,c,a}},817:function(t){t.exports=function(t){var e,n="SELECT"===t.nodeName?(t.focus(),t.value):"INPUT"===t.nodeName||"TEXTAREA"===t.nodeName?((e=t.hasAttribute("readonly"))||t.setAttribute("readonly",""),t.select(),t.setSelectionRange(0,t.value.length),e||t.removeAttribute("readonly"),t.value):(t.hasAttribute("contenteditable")&&t.focus(),n=window.getSelection(),(e=document.createRange()).selectNodeContents(t),n.removeAllRanges(),n.addRange(e),n.toString());return n}},279:function(t){function e(){}e.prototype={on:function(t,e,n){var o=this.e||(this.e={});return(o[t]||(o[t]=[])).push({fn:e,ctx:n}),this},once:function(t,e,n){var o=this;function r(){o.off(t,r),e.apply(n,arguments)}return r._=e,this.on(t,r,n)},emit:function(t){for(var e=[].slice.call(arguments,1),n=((this.e||(this.e={}))[t]||[]).slice(),o=0,r=n.length;o<r;o++)n[o].fn.apply(n[o].ctx,e);return this},off:function(t,e){var n=this.e||(this.e={}),o=n[t],r=[];if(o&&e)for(var i=0,u=o.length;i<u;i++)o[i].fn!==e&&o[i].fn._!==e&&r.push(o[i]);return r.length?n[t]=r:delete n[t],this}},t.exports=e,t.exports.TinyEmitter=e}},r={},o.n=function(t){var e=t&&t.__esModule?function(){return t.default}:function(){return t};return o.d(e,{a:e}),e},o.d=function(t,e){for(var n in e)o.o(e,n)&&!o.o(t,n)&&Object.defineProperty(t,n,{enumerable:!0,get:e[n]})},o.o=function(t,e){return Object.prototype.hasOwnProperty.call(t,e)},o(686).default;function o(t){if(r[t])return r[t].exports;var e=r[t]={exports:{}};return n[t](e,e.exports,o),e.exports}var n,r});
\ No newline at end of file
diff --git a/_static/copy-button.svg b/_static/copy-button.svg
new file mode 100644
index 000000000..9c074dae5
--- /dev/null
+++ b/_static/copy-button.svg
@@ -0,0 +1,5 @@
+<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-copy" width="44" height="44" viewBox="0 0 24 24" stroke-width="1.5" stroke="#000000" fill="none" stroke-linecap="round" stroke-linejoin="round">
+  <path stroke="none" d="M0 0h24v24H0z" fill="none"/>
+  <rect x="8" y="8" width="12" height="12" rx="2" />
+  <path d="M16 8v-2a2 2 0 0 0 -2 -2h-8a2 2 0 0 0 -2 2v8a2 2 0 0 0 2 2h2" />
+</svg>
diff --git a/_static/copybutton.css b/_static/copybutton.css
new file mode 100644
index 000000000..f1916ec7d
--- /dev/null
+++ b/_static/copybutton.css
@@ -0,0 +1,94 @@
+/* Copy buttons */
+button.copybtn {
+    position: absolute;
+    display: flex;
+    top: .3em;
+    right: .3em;
+    width: 1.7em;
+    height: 1.7em;
+	opacity: 0;
+    transition: opacity 0.3s, border .3s, background-color .3s;
+    user-select: none;
+    padding: 0;
+    border: none;
+    outline: none;
+    border-radius: 0.4em;
+    /* The colors that GitHub uses */
+    border: #1b1f2426 1px solid;
+    background-color: #f6f8fa;
+    color: #57606a;
+}
+
+button.copybtn.success {
+    border-color: #22863a;
+    color: #22863a;
+}
+
+button.copybtn svg {
+    stroke: currentColor;
+    width: 1.5em;
+    height: 1.5em;
+    padding: 0.1em;
+}
+
+div.highlight  {
+    position: relative;
+}
+
+/* Show the copybutton */
+.highlight:hover button.copybtn, button.copybtn.success {
+	opacity: 1;
+}
+
+.highlight button.copybtn:hover {
+    background-color: rgb(235, 235, 235);
+}
+
+.highlight button.copybtn:active {
+    background-color: rgb(187, 187, 187);
+}
+
+/**
+ * A minimal CSS-only tooltip copied from:
+ *   https://codepen.io/mildrenben/pen/rVBrpK
+ *
+ * To use, write HTML like the following:
+ *
+ * <p class="o-tooltip--left" data-tooltip="Hey">Short</p>
+ */
+ .o-tooltip--left {
+  position: relative;
+ }
+
+ .o-tooltip--left:after {
+    opacity: 0;
+    visibility: hidden;
+    position: absolute;
+    content: attr(data-tooltip);
+    padding: .2em;
+    font-size: .8em;
+    left: -.2em;
+    background: grey;
+    color: white;
+    white-space: nowrap;
+    z-index: 2;
+    border-radius: 2px;
+    transform: translateX(-102%) translateY(0);
+    transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1);
+}
+
+.o-tooltip--left:hover:after {
+    display: block;
+    opacity: 1;
+    visibility: visible;
+    transform: translateX(-100%) translateY(0);
+    transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1);
+    transition-delay: .5s;
+}
+
+/* By default the copy button shouldn't show up when printing a page */
+@media print {
+    button.copybtn {
+        display: none;
+    }
+}
diff --git a/_static/copybutton.js b/_static/copybutton.js
new file mode 100644
index 000000000..2ea7ff3e2
--- /dev/null
+++ b/_static/copybutton.js
@@ -0,0 +1,248 @@
+// Localization support
+const messages = {
+  'en': {
+    'copy': 'Copy',
+    'copy_to_clipboard': 'Copy to clipboard',
+    'copy_success': 'Copied!',
+    'copy_failure': 'Failed to copy',
+  },
+  'es' : {
+    'copy': 'Copiar',
+    'copy_to_clipboard': 'Copiar al portapapeles',
+    'copy_success': '¡Copiado!',
+    'copy_failure': 'Error al copiar',
+  },
+  'de' : {
+    'copy': 'Kopieren',
+    'copy_to_clipboard': 'In die Zwischenablage kopieren',
+    'copy_success': 'Kopiert!',
+    'copy_failure': 'Fehler beim Kopieren',
+  },
+  'fr' : {
+    'copy': 'Copier',
+    'copy_to_clipboard': 'Copier dans le presse-papier',
+    'copy_success': 'Copié !',
+    'copy_failure': 'Échec de la copie',
+  },
+  'ru': {
+    'copy': 'Скопировать',
+    'copy_to_clipboard': 'Скопировать в буфер',
+    'copy_success': 'Скопировано!',
+    'copy_failure': 'Не удалось скопировать',
+  },
+  'zh-CN': {
+    'copy': '复制',
+    'copy_to_clipboard': '复制到剪贴板',
+    'copy_success': '复制成功!',
+    'copy_failure': '复制失败',
+  },
+  'it' : {
+    'copy': 'Copiare',
+    'copy_to_clipboard': 'Copiato negli appunti',
+    'copy_success': 'Copiato!',
+    'copy_failure': 'Errore durante la copia',
+  }
+}
+
+let locale = 'en'
+if( document.documentElement.lang !== undefined
+    && messages[document.documentElement.lang] !== undefined ) {
+  locale = document.documentElement.lang
+}
+
+let doc_url_root = DOCUMENTATION_OPTIONS.URL_ROOT;
+if (doc_url_root == '#') {
+    doc_url_root = '';
+}
+
+/**
+ * SVG files for our copy buttons
+ */
+let iconCheck = `<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-check" width="44" height="44" viewBox="0 0 24 24" stroke-width="2" stroke="#22863a" fill="none" stroke-linecap="round" stroke-linejoin="round">
+  <title>${messages[locale]['copy_success']}</title>
+  <path stroke="none" d="M0 0h24v24H0z" fill="none"/>
+  <path d="M5 12l5 5l10 -10" />
+</svg>`
+
+// If the user specified their own SVG use that, otherwise use the default
+let iconCopy = ``;
+if (!iconCopy) {
+  iconCopy = `<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-copy" width="44" height="44" viewBox="0 0 24 24" stroke-width="1.5" stroke="#000000" fill="none" stroke-linecap="round" stroke-linejoin="round">
+  <title>${messages[locale]['copy_to_clipboard']}</title>
+  <path stroke="none" d="M0 0h24v24H0z" fill="none"/>
+  <rect x="8" y="8" width="12" height="12" rx="2" />
+  <path d="M16 8v-2a2 2 0 0 0 -2 -2h-8a2 2 0 0 0 -2 2v8a2 2 0 0 0 2 2h2" />
+</svg>`
+}
+
+/**
+ * Set up copy/paste for code blocks
+ */
+
+const runWhenDOMLoaded = cb => {
+  if (document.readyState != 'loading') {
+    cb()
+  } else if (document.addEventListener) {
+    document.addEventListener('DOMContentLoaded', cb)
+  } else {
+    document.attachEvent('onreadystatechange', function() {
+      if (document.readyState == 'complete') cb()
+    })
+  }
+}
+
+const codeCellId = index => `codecell${index}`
+
+// Clears selected text since ClipboardJS will select the text when copying
+const clearSelection = () => {
+  if (window.getSelection) {
+    window.getSelection().removeAllRanges()
+  } else if (document.selection) {
+    document.selection.empty()
+  }
+}
+
+// Changes tooltip text for a moment, then changes it back
+// We want the timeout of our `success` class to be a bit shorter than the
+// tooltip and icon change, so that we can hide the icon before changing back.
+var timeoutIcon = 2000;
+var timeoutSuccessClass = 1500;
+
+const temporarilyChangeTooltip = (el, oldText, newText) => {
+  el.setAttribute('data-tooltip', newText)
+  el.classList.add('success')
+  // Remove success a little bit sooner than we change the tooltip
+  // So that we can use CSS to hide the copybutton first
+  setTimeout(() => el.classList.remove('success'), timeoutSuccessClass)
+  setTimeout(() => el.setAttribute('data-tooltip', oldText), timeoutIcon)
+}
+
+// Changes the copy button icon for two seconds, then changes it back
+const temporarilyChangeIcon = (el) => {
+  el.innerHTML = iconCheck;
+  setTimeout(() => {el.innerHTML = iconCopy}, timeoutIcon)
+}
+
+const addCopyButtonToCodeCells = () => {
+  // If ClipboardJS hasn't loaded, wait a bit and try again. This
+  // happens because we load ClipboardJS asynchronously.
+  if (window.ClipboardJS === undefined) {
+    setTimeout(addCopyButtonToCodeCells, 250)
+    return
+  }
+
+  // Add copybuttons to all of our code cells
+  const COPYBUTTON_SELECTOR = 'div.highlight pre';
+  const codeCells = document.querySelectorAll(COPYBUTTON_SELECTOR)
+  codeCells.forEach((codeCell, index) => {
+    const id = codeCellId(index)
+    codeCell.setAttribute('id', id)
+
+    const clipboardButton = id =>
+    `<button class="copybtn o-tooltip--left" data-tooltip="${messages[locale]['copy']}" data-clipboard-target="#${id}">
+      ${iconCopy}
+    </button>`
+    codeCell.insertAdjacentHTML('afterend', clipboardButton(id))
+  })
+
+function escapeRegExp(string) {
+    return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string
+}
+
+/**
+ * Removes excluded text from a Node.
+ *
+ * @param {Node} target Node to filter.
+ * @param {string} exclude CSS selector of nodes to exclude.
+ * @returns {DOMString} Text from `target` with text removed.
+ */
+function filterText(target, exclude) {
+    const clone = target.cloneNode(true);  // clone as to not modify the live DOM
+    if (exclude) {
+        // remove excluded nodes
+        clone.querySelectorAll(exclude).forEach(node => node.remove());
+    }
+    return clone.innerText;
+}
+
+// Callback when a copy button is clicked. Will be passed the node that was clicked
+// should then grab the text and replace pieces of text that shouldn't be used in output
+function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onlyCopyPromptLines = true, removePrompts = true, copyEmptyLines = true, lineContinuationChar = "", hereDocDelim = "") {
+    var regexp;
+    var match;
+
+    // Do we check for line continuation characters and "HERE-documents"?
+    var useLineCont = !!lineContinuationChar
+    var useHereDoc = !!hereDocDelim
+
+    // create regexp to capture prompt and remaining line
+    if (isRegexp) {
+        regexp = new RegExp('^(' + copybuttonPromptText + ')(.*)')
+    } else {
+        regexp = new RegExp('^(' + escapeRegExp(copybuttonPromptText) + ')(.*)')
+    }
+
+    const outputLines = [];
+    var promptFound = false;
+    var gotLineCont = false;
+    var gotHereDoc = false;
+    const lineGotPrompt = [];
+    for (const line of textContent.split('\n')) {
+        match = line.match(regexp)
+        if (match || gotLineCont || gotHereDoc) {
+            promptFound = regexp.test(line)
+            lineGotPrompt.push(promptFound)
+            if (removePrompts && promptFound) {
+                outputLines.push(match[2])
+            } else {
+                outputLines.push(line)
+            }
+            gotLineCont = line.endsWith(lineContinuationChar) & useLineCont
+            if (line.includes(hereDocDelim) & useHereDoc)
+                gotHereDoc = !gotHereDoc
+        } else if (!onlyCopyPromptLines) {
+            outputLines.push(line)
+        } else if (copyEmptyLines && line.trim() === '') {
+            outputLines.push(line)
+        }
+    }
+
+    // If no lines with the prompt were found then just use original lines
+    if (lineGotPrompt.some(v => v === true)) {
+        textContent = outputLines.join('\n');
+    }
+
+    // Remove a trailing newline to avoid auto-running when pasting
+    if (textContent.endsWith("\n")) {
+        textContent = textContent.slice(0, -1)
+    }
+    return textContent
+}
+
+
+var copyTargetText = (trigger) => {
+  var target = document.querySelector(trigger.attributes['data-clipboard-target'].value);
+
+  // get filtered text
+  let exclude = '.linenos';
+
+  let text = filterText(target, exclude);
+  return formatCopyText(text, '', false, true, true, true, '', '')
+}
+
+  // Initialize with a callback so we can modify the text before copy
+  const clipboard = new ClipboardJS('.copybtn', {text: copyTargetText})
+
+  // Update UI with error/success messages
+  clipboard.on('success', event => {
+    clearSelection()
+    temporarilyChangeTooltip(event.trigger, messages[locale]['copy'], messages[locale]['copy_success'])
+    temporarilyChangeIcon(event.trigger)
+  })
+
+  clipboard.on('error', event => {
+    temporarilyChangeTooltip(event.trigger, messages[locale]['copy'], messages[locale]['copy_failure'])
+  })
+}
+
+runWhenDOMLoaded(addCopyButtonToCodeCells)
\ No newline at end of file
diff --git a/_static/copybutton_funcs.js b/_static/copybutton_funcs.js
new file mode 100644
index 000000000..dbe1aaad7
--- /dev/null
+++ b/_static/copybutton_funcs.js
@@ -0,0 +1,73 @@
+function escapeRegExp(string) {
+    return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string
+}
+
+/**
+ * Removes excluded text from a Node.
+ *
+ * @param {Node} target Node to filter.
+ * @param {string} exclude CSS selector of nodes to exclude.
+ * @returns {DOMString} Text from `target` with text removed.
+ */
+export function filterText(target, exclude) {
+    const clone = target.cloneNode(true);  // clone as to not modify the live DOM
+    if (exclude) {
+        // remove excluded nodes
+        clone.querySelectorAll(exclude).forEach(node => node.remove());
+    }
+    return clone.innerText;
+}
+
+// Callback when a copy button is clicked. Will be passed the node that was clicked
+// should then grab the text and replace pieces of text that shouldn't be used in output
+export function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onlyCopyPromptLines = true, removePrompts = true, copyEmptyLines = true, lineContinuationChar = "", hereDocDelim = "") {
+    var regexp;
+    var match;
+
+    // Do we check for line continuation characters and "HERE-documents"?
+    var useLineCont = !!lineContinuationChar
+    var useHereDoc = !!hereDocDelim
+
+    // create regexp to capture prompt and remaining line
+    if (isRegexp) {
+        regexp = new RegExp('^(' + copybuttonPromptText + ')(.*)')
+    } else {
+        regexp = new RegExp('^(' + escapeRegExp(copybuttonPromptText) + ')(.*)')
+    }
+
+    const outputLines = [];
+    var promptFound = false;
+    var gotLineCont = false;
+    var gotHereDoc = false;
+    const lineGotPrompt = [];
+    for (const line of textContent.split('\n')) {
+        match = line.match(regexp)
+        if (match || gotLineCont || gotHereDoc) {
+            promptFound = regexp.test(line)
+            lineGotPrompt.push(promptFound)
+            if (removePrompts && promptFound) {
+                outputLines.push(match[2])
+            } else {
+                outputLines.push(line)
+            }
+            gotLineCont = line.endsWith(lineContinuationChar) & useLineCont
+            if (line.includes(hereDocDelim) & useHereDoc)
+                gotHereDoc = !gotHereDoc
+        } else if (!onlyCopyPromptLines) {
+            outputLines.push(line)
+        } else if (copyEmptyLines && line.trim() === '') {
+            outputLines.push(line)
+        }
+    }
+
+    // If no lines with the prompt were found then just use original lines
+    if (lineGotPrompt.some(v => v === true)) {
+        textContent = outputLines.join('\n');
+    }
+
+    // Remove a trailing newline to avoid auto-running when pasting
+    if (textContent.endsWith("\n")) {
+        textContent = textContent.slice(0, -1)
+    }
+    return textContent
+}
diff --git a/_static/custom.css b/_static/custom.css
new file mode 100644
index 000000000..85fec2de9
--- /dev/null
+++ b/_static/custom.css
@@ -0,0 +1,14 @@
+.wy-nav-content {
+  max-width: 60% !important;
+}
+
+.wy-side-nav-search {
+  display: block;
+  width: 300px;
+  padding: 0.809em;
+  margin-bottom: 0.809em;
+  z-index: 200;
+  background-color: #fcfcfc;
+  text-align: center;
+  color: #fcfcfc;
+}
diff --git a/_static/doctools.js b/_static/doctools.js
new file mode 100644
index 000000000..0398ebb9f
--- /dev/null
+++ b/_static/doctools.js
@@ -0,0 +1,149 @@
+/*
+ * Base JavaScript utilities for all Sphinx HTML documentation.
+ */
+"use strict";
+
+const BLACKLISTED_KEY_CONTROL_ELEMENTS = new Set([
+  "TEXTAREA",
+  "INPUT",
+  "SELECT",
+  "BUTTON",
+]);
+
+const _ready = (callback) => {
+  if (document.readyState !== "loading") {
+    callback();
+  } else {
+    document.addEventListener("DOMContentLoaded", callback);
+  }
+};
+
+/**
+ * Small JavaScript module for the documentation.
+ */
+const Documentation = {
+  init: () => {
+    Documentation.initDomainIndexTable();
+    Documentation.initOnKeyListeners();
+  },
+
+  /**
+   * i18n support
+   */
+  TRANSLATIONS: {},
+  PLURAL_EXPR: (n) => (n === 1 ? 0 : 1),
+  LOCALE: "unknown",
+
+  // gettext and ngettext don't access this so that the functions
+  // can safely bound to a different name (_ = Documentation.gettext)
+  gettext: (string) => {
+    const translated = Documentation.TRANSLATIONS[string];
+    switch (typeof translated) {
+      case "undefined":
+        return string; // no translation
+      case "string":
+        return translated; // translation exists
+      default:
+        return translated[0]; // (singular, plural) translation tuple exists
+    }
+  },
+
+  ngettext: (singular, plural, n) => {
+    const translated = Documentation.TRANSLATIONS[singular];
+    if (typeof translated !== "undefined")
+      return translated[Documentation.PLURAL_EXPR(n)];
+    return n === 1 ? singular : plural;
+  },
+
+  addTranslations: (catalog) => {
+    Object.assign(Documentation.TRANSLATIONS, catalog.messages);
+    Documentation.PLURAL_EXPR = new Function(
+      "n",
+      `return (${catalog.plural_expr})`
+    );
+    Documentation.LOCALE = catalog.locale;
+  },
+
+  /**
+   * helper function to focus on search bar
+   */
+  focusSearchBar: () => {
+    document.querySelectorAll("input[name=q]")[0]?.focus();
+  },
+
+  /**
+   * Initialise the domain index toggle buttons
+   */
+  initDomainIndexTable: () => {
+    const toggler = (el) => {
+      const idNumber = el.id.substr(7);
+      const toggledRows = document.querySelectorAll(`tr.cg-${idNumber}`);
+      if (el.src.substr(-9) === "minus.png") {
+        el.src = `${el.src.substr(0, el.src.length - 9)}plus.png`;
+        toggledRows.forEach((el) => (el.style.display = "none"));
+      } else {
+        el.src = `${el.src.substr(0, el.src.length - 8)}minus.png`;
+        toggledRows.forEach((el) => (el.style.display = ""));
+      }
+    };
+
+    const togglerElements = document.querySelectorAll("img.toggler");
+    togglerElements.forEach((el) =>
+      el.addEventListener("click", (event) => toggler(event.currentTarget))
+    );
+    togglerElements.forEach((el) => (el.style.display = ""));
+    if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) togglerElements.forEach(toggler);
+  },
+
+  initOnKeyListeners: () => {
+    // only install a listener if it is really needed
+    if (
+      !DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS &&
+      !DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS
+    )
+      return;
+
+    document.addEventListener("keydown", (event) => {
+      // bail for input elements
+      if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return;
+      // bail with special keys
+      if (event.altKey || event.ctrlKey || event.metaKey) return;
+
+      if (!event.shiftKey) {
+        switch (event.key) {
+          case "ArrowLeft":
+            if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break;
+
+            const prevLink = document.querySelector('link[rel="prev"]');
+            if (prevLink && prevLink.href) {
+              window.location.href = prevLink.href;
+              event.preventDefault();
+            }
+            break;
+          case "ArrowRight":
+            if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break;
+
+            const nextLink = document.querySelector('link[rel="next"]');
+            if (nextLink && nextLink.href) {
+              window.location.href = nextLink.href;
+              event.preventDefault();
+            }
+            break;
+        }
+      }
+
+      // some keyboard layouts may need Shift to get /
+      switch (event.key) {
+        case "/":
+          if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) break;
+          Documentation.focusSearchBar();
+          event.preventDefault();
+      }
+    });
+  },
+};
+
+// quick alias for translations
+const _ = Documentation.gettext;
+
+_ready(Documentation.init);
diff --git a/_static/documentation_options.js b/_static/documentation_options.js
new file mode 100644
index 000000000..dbc9e921b
--- /dev/null
+++ b/_static/documentation_options.js
@@ -0,0 +1,13 @@
+const DOCUMENTATION_OPTIONS = {
+    VERSION: '0.2.1.dev62',
+    LANGUAGE: 'en',
+    COLLAPSE_INDEX: false,
+    BUILDER: 'html',
+    FILE_SUFFIX: '.html',
+    LINK_SUFFIX: '.html',
+    HAS_SOURCE: true,
+    SOURCELINK_SUFFIX: '',
+    NAVIGATION_WITH_KEYS: false,
+    SHOW_SEARCH_SUMMARY: true,
+    ENABLE_SEARCH_SHORTCUTS: true,
+};
\ No newline at end of file
diff --git a/_static/file.png b/_static/file.png
new file mode 100644
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literal 0
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diff --git a/_static/images/logo_binder.svg b/_static/images/logo_binder.svg
new file mode 100644
index 000000000..45fecf751
--- /dev/null
+++ b/_static/images/logo_binder.svg
@@ -0,0 +1,19 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 23.0.1, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 44.4 44.4" style="enable-background:new 0 0 44.4 44.4;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:none;stroke:#F5A252;stroke-width:5;stroke-miterlimit:10;}
+	.st1{fill:none;stroke:#579ACA;stroke-width:5;stroke-miterlimit:10;}
+	.st2{fill:none;stroke:#E66581;stroke-width:5;stroke-miterlimit:10;}
+</style>
+<title>logo</title>
+<g>
+	<path class="st0" d="M33.9,6.4c3.6,3.9,3.4,9.9-0.5,13.5s-9.9,3.4-13.5-0.5s-3.4-9.9,0.5-13.5l0,0C24.2,2.4,30.2,2.6,33.9,6.4z"/>
+	<path class="st1" d="M35.1,27.3c2.6,4.6,1.1,10.4-3.5,13c-4.6,2.6-10.4,1.1-13-3.5s-1.1-10.4,3.5-13l0,0
+		C26.6,21.2,32.4,22.7,35.1,27.3z"/>
+	<path class="st2" d="M25.9,17.8c2.6,4.6,1.1,10.4-3.5,13s-10.4,1.1-13-3.5s-1.1-10.4,3.5-13l0,0C17.5,11.7,23.3,13.2,25.9,17.8z"/>
+	<path class="st1" d="M19.2,26.4c3.1-4.3,9.1-5.2,13.3-2.1c1.1,0.8,2,1.8,2.7,3"/>
+	<path class="st0" d="M19.9,19.4c-3.6-3.9-3.4-9.9,0.5-13.5s9.9-3.4,13.5,0.5"/>
+</g>
+</svg>
diff --git a/_static/images/logo_colab.png b/_static/images/logo_colab.png
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+<svg id="Layer_1" data-name="Layer 1" xmlns="http://www.w3.org/2000/svg" width="38.73" height="50" viewBox="0 0 38.73 50"><defs><style>.cls-1{fill:#767677;}.cls-2{fill:#f37726;}.cls-3{fill:#9e9e9e;}.cls-4{fill:#616262;}.cls-5{font-size:17.07px;fill:#fff;font-family:Roboto-Regular, Roboto;}</style></defs><title>logo_jupyterhub</title><g id="Canvas"><path id="path7_fill" data-name="path7 fill" class="cls-1" d="M39.51,3.53a3,3,0,0,1-1.7,2.9A3,3,0,0,1,34.48,6a3,3,0,0,1-.82-3.26,3,3,0,0,1,1.05-1.41A3,3,0,0,1,37.52.86a2.88,2.88,0,0,1,1,.6,3,3,0,0,1,.7.93,3.18,3.18,0,0,1,.28,1.14Z" transform="translate(-1.87 -0.69)"/><path id="path8_fill" data-name="path8 fill" class="cls-2" d="M21.91,38.39c-8,0-15.06-2.87-18.7-7.12a19.93,19.93,0,0,0,37.39,0C37,35.52,30,38.39,21.91,38.39Z" transform="translate(-1.87 -0.69)"/><path id="path9_fill" data-name="path9 fill" class="cls-2" d="M21.91,10.78c8,0,15.05,2.87,18.69,7.12a19.93,19.93,0,0,0-37.39,0C6.85,13.64,13.86,10.78,21.91,10.78Z" transform="translate(-1.87 -0.69)"/><path id="path10_fill" data-name="path10 fill" class="cls-3" d="M10.88,46.66a3.86,3.86,0,0,1-.52,2.15,3.81,3.81,0,0,1-1.62,1.51,3.93,3.93,0,0,1-2.19.34,3.79,3.79,0,0,1-2-.94,3.73,3.73,0,0,1-1.14-1.9,3.79,3.79,0,0,1,.1-2.21,3.86,3.86,0,0,1,1.33-1.78,3.92,3.92,0,0,1,3.54-.53,3.85,3.85,0,0,1,2.14,1.93,3.74,3.74,0,0,1,.37,1.43Z" transform="translate(-1.87 -0.69)"/><path id="path11_fill" data-name="path11 fill" class="cls-4" d="M4.12,9.81A2.18,2.18,0,0,1,2.9,9.48a2.23,2.23,0,0,1-.84-1A2.26,2.26,0,0,1,1.9,7.26a2.13,2.13,0,0,1,.56-1.13,2.18,2.18,0,0,1,2.36-.56,2.13,2.13,0,0,1,1,.76,2.18,2.18,0,0,1,.42,1.2A2.22,2.22,0,0,1,4.12,9.81Z" transform="translate(-1.87 -0.69)"/></g><text class="cls-5" transform="translate(5.24 30.01)">Hub</text></svg>
diff --git a/_static/language_data.js b/_static/language_data.js
new file mode 100644
index 000000000..c7fe6c6fa
--- /dev/null
+++ b/_static/language_data.js
@@ -0,0 +1,192 @@
+/*
+ * This script contains the language-specific data used by searchtools.js,
+ * namely the list of stopwords, stemmer, scorer and splitter.
+ */
+
+var stopwords = ["a", "and", "are", "as", "at", "be", "but", "by", "for", "if", "in", "into", "is", "it", "near", "no", "not", "of", "on", "or", "such", "that", "the", "their", "then", "there", "these", "they", "this", "to", "was", "will", "with"];
+
+
+/* Non-minified version is copied as a separate JS file, if available */
+
+/**
+ * Porter Stemmer
+ */
+var Stemmer = function() {
+
+  var step2list = {
+    ational: 'ate',
+    tional: 'tion',
+    enci: 'ence',
+    anci: 'ance',
+    izer: 'ize',
+    bli: 'ble',
+    alli: 'al',
+    entli: 'ent',
+    eli: 'e',
+    ousli: 'ous',
+    ization: 'ize',
+    ation: 'ate',
+    ator: 'ate',
+    alism: 'al',
+    iveness: 'ive',
+    fulness: 'ful',
+    ousness: 'ous',
+    aliti: 'al',
+    iviti: 'ive',
+    biliti: 'ble',
+    logi: 'log'
+  };
+
+  var step3list = {
+    icate: 'ic',
+    ative: '',
+    alize: 'al',
+    iciti: 'ic',
+    ical: 'ic',
+    ful: '',
+    ness: ''
+  };
+
+  var c = "[^aeiou]";          // consonant
+  var v = "[aeiouy]";          // vowel
+  var C = c + "[^aeiouy]*";    // consonant sequence
+  var V = v + "[aeiou]*";      // vowel sequence
+
+  var mgr0 = "^(" + C + ")?" + V + C;                      // [C]VC... is m>0
+  var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$";    // [C]VC[V] is m=1
+  var mgr1 = "^(" + C + ")?" + V + C + V + C;              // [C]VCVC... is m>1
+  var s_v   = "^(" + C + ")?" + v;                         // vowel in stem
+
+  this.stemWord = function (w) {
+    var stem;
+    var suffix;
+    var firstch;
+    var origword = w;
+
+    if (w.length < 3)
+      return w;
+
+    var re;
+    var re2;
+    var re3;
+    var re4;
+
+    firstch = w.substr(0,1);
+    if (firstch == "y")
+      w = firstch.toUpperCase() + w.substr(1);
+
+    // Step 1a
+    re = /^(.+?)(ss|i)es$/;
+    re2 = /^(.+?)([^s])s$/;
+
+    if (re.test(w))
+      w = w.replace(re,"$1$2");
+    else if (re2.test(w))
+      w = w.replace(re2,"$1$2");
+
+    // Step 1b
+    re = /^(.+?)eed$/;
+    re2 = /^(.+?)(ed|ing)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      re = new RegExp(mgr0);
+      if (re.test(fp[1])) {
+        re = /.$/;
+        w = w.replace(re,"");
+      }
+    }
+    else if (re2.test(w)) {
+      var fp = re2.exec(w);
+      stem = fp[1];
+      re2 = new RegExp(s_v);
+      if (re2.test(stem)) {
+        w = stem;
+        re2 = /(at|bl|iz)$/;
+        re3 = new RegExp("([^aeiouylsz])\\1$");
+        re4 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+        if (re2.test(w))
+          w = w + "e";
+        else if (re3.test(w)) {
+          re = /.$/;
+          w = w.replace(re,"");
+        }
+        else if (re4.test(w))
+          w = w + "e";
+      }
+    }
+
+    // Step 1c
+    re = /^(.+?)y$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(s_v);
+      if (re.test(stem))
+        w = stem + "i";
+    }
+
+    // Step 2
+    re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      suffix = fp[2];
+      re = new RegExp(mgr0);
+      if (re.test(stem))
+        w = stem + step2list[suffix];
+    }
+
+    // Step 3
+    re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      suffix = fp[2];
+      re = new RegExp(mgr0);
+      if (re.test(stem))
+        w = stem + step3list[suffix];
+    }
+
+    // Step 4
+    re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;
+    re2 = /^(.+?)(s|t)(ion)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(mgr1);
+      if (re.test(stem))
+        w = stem;
+    }
+    else if (re2.test(w)) {
+      var fp = re2.exec(w);
+      stem = fp[1] + fp[2];
+      re2 = new RegExp(mgr1);
+      if (re2.test(stem))
+        w = stem;
+    }
+
+    // Step 5
+    re = /^(.+?)e$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(mgr1);
+      re2 = new RegExp(meq1);
+      re3 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+      if (re.test(stem) || (re2.test(stem) && !(re3.test(stem))))
+        w = stem;
+    }
+    re = /ll$/;
+    re2 = new RegExp(mgr1);
+    if (re.test(w) && re2.test(w)) {
+      re = /.$/;
+      w = w.replace(re,"");
+    }
+
+    // and turn initial Y back to y
+    if (firstch == "y")
+      w = firstch.toLowerCase() + w.substr(1);
+    return w;
+  }
+}
+
diff --git a/_static/locales/ar/LC_MESSAGES/booktheme.mo b/_static/locales/ar/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..15541a6a375f93efed3f410c2f892174ba91aaa0
GIT binary patch
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literal 0
HcmV?d00001

diff --git a/_static/locales/ar/LC_MESSAGES/booktheme.po b/_static/locales/ar/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..34d404c6d
--- /dev/null
+++ b/_static/locales/ar/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: ar\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "طباعة إلى PDF"
+
+msgid "Theme by the"
+msgstr "موضوع بواسطة"
+
+msgid "Download source file"
+msgstr "تنزيل ملف المصدر"
+
+msgid "open issue"
+msgstr "قضية مفتوحة"
+
+msgid "Contents"
+msgstr "محتويات"
+
+msgid "previous page"
+msgstr "الصفحة السابقة"
+
+msgid "Download notebook file"
+msgstr "تنزيل ملف دفتر الملاحظات"
+
+msgid "Copyright"
+msgstr "حقوق النشر"
+
+msgid "Download this page"
+msgstr "قم بتنزيل هذه الصفحة"
+
+msgid "Source repository"
+msgstr "مستودع المصدر"
+
+msgid "By"
+msgstr "بواسطة"
+
+msgid "repository"
+msgstr "مخزن"
+
+msgid "Last updated on"
+msgstr "آخر تحديث في"
+
+msgid "Toggle navigation"
+msgstr "تبديل التنقل"
+
+msgid "Sphinx Book Theme"
+msgstr "موضوع كتاب أبو الهول"
+
+msgid "suggest edit"
+msgstr "أقترح تحرير"
+
+msgid "Open an issue"
+msgstr "افتح قضية"
+
+msgid "Launch"
+msgstr "إطلاق"
+
+msgid "Fullscreen mode"
+msgstr "وضع ملء الشاشة"
+
+msgid "Edit this page"
+msgstr "قم بتحرير هذه الصفحة"
+
+msgid "By the"
+msgstr "بواسطة"
+
+msgid "next page"
+msgstr "الصفحة التالية"
diff --git a/_static/locales/bg/LC_MESSAGES/booktheme.mo b/_static/locales/bg/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..da95120037f8d7c52ad1f166a7682ea55ca47a01
GIT binary patch
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literal 0
HcmV?d00001

diff --git a/_static/locales/bg/LC_MESSAGES/booktheme.po b/_static/locales/bg/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..7420c19eb
--- /dev/null
+++ b/_static/locales/bg/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: bg\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Печат в PDF"
+
+msgid "Theme by the"
+msgstr "Тема от"
+
+msgid "Download source file"
+msgstr "Изтеглете изходния файл"
+
+msgid "open issue"
+msgstr "отворен брой"
+
+msgid "Contents"
+msgstr "Съдържание"
+
+msgid "previous page"
+msgstr "предишна страница"
+
+msgid "Download notebook file"
+msgstr "Изтеглете файла на бележника"
+
+msgid "Copyright"
+msgstr "Авторско право"
+
+msgid "Download this page"
+msgstr "Изтеглете тази страница"
+
+msgid "Source repository"
+msgstr "Хранилище на източника"
+
+msgid "By"
+msgstr "От"
+
+msgid "repository"
+msgstr "хранилище"
+
+msgid "Last updated on"
+msgstr "Последна актуализация на"
+
+msgid "Toggle navigation"
+msgstr "Превключване на навигацията"
+
+msgid "Sphinx Book Theme"
+msgstr "Тема на книгата Sphinx"
+
+msgid "suggest edit"
+msgstr "предложи редактиране"
+
+msgid "Open an issue"
+msgstr "Отворете проблем"
+
+msgid "Launch"
+msgstr "Стартиране"
+
+msgid "Fullscreen mode"
+msgstr "Режим на цял екран"
+
+msgid "Edit this page"
+msgstr "Редактирайте тази страница"
+
+msgid "By the"
+msgstr "По"
+
+msgid "next page"
+msgstr "Следваща страница"
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literal 0
HcmV?d00001

diff --git a/_static/locales/bn/LC_MESSAGES/booktheme.po b/_static/locales/bn/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..63a07c362
--- /dev/null
+++ b/_static/locales/bn/LC_MESSAGES/booktheme.po
@@ -0,0 +1,63 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: bn\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "পিডিএফ প্রিন্ট করুন"
+
+msgid "Theme by the"
+msgstr "থিম দ্বারা"
+
+msgid "Download source file"
+msgstr "উত্স ফাইল ডাউনলোড করুন"
+
+msgid "open issue"
+msgstr "খোলা সমস্যা"
+
+msgid "previous page"
+msgstr "আগের পৃষ্ঠা"
+
+msgid "Download notebook file"
+msgstr "নোটবুক ফাইল ডাউনলোড করুন"
+
+msgid "Copyright"
+msgstr "কপিরাইট"
+
+msgid "Download this page"
+msgstr "এই পৃষ্ঠাটি ডাউনলোড করুন"
+
+msgid "Source repository"
+msgstr "উত্স সংগ্রহস্থল"
+
+msgid "By"
+msgstr "দ্বারা"
+
+msgid "Last updated on"
+msgstr "সর্বশেষ আপডেট"
+
+msgid "Toggle navigation"
+msgstr "নেভিগেশন টগল করুন"
+
+msgid "Sphinx Book Theme"
+msgstr "স্পিনিক্স বুক থিম"
+
+msgid "Open an issue"
+msgstr "একটি সমস্যা খুলুন"
+
+msgid "Launch"
+msgstr "শুরু করা"
+
+msgid "Edit this page"
+msgstr "এই পৃষ্ঠাটি সম্পাদনা করুন"
+
+msgid "By the"
+msgstr "দ্বারা"
+
+msgid "next page"
+msgstr "পরবর্তী পৃষ্ঠা"
diff --git a/_static/locales/ca/LC_MESSAGES/booktheme.mo b/_static/locales/ca/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..a4dd30e9bd762578b119c4401d082ea4fa430613
GIT binary patch
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literal 0
HcmV?d00001

diff --git a/_static/locales/ca/LC_MESSAGES/booktheme.po b/_static/locales/ca/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..8fb358bf1
--- /dev/null
+++ b/_static/locales/ca/LC_MESSAGES/booktheme.po
@@ -0,0 +1,66 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: ca\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Imprimeix a PDF"
+
+msgid "Theme by the"
+msgstr "Tema del"
+
+msgid "Download source file"
+msgstr "Baixeu el fitxer font"
+
+msgid "open issue"
+msgstr "número obert"
+
+msgid "previous page"
+msgstr "Pàgina anterior"
+
+msgid "Download notebook file"
+msgstr "Descarregar fitxer de quadern"
+
+msgid "Copyright"
+msgstr "Copyright"
+
+msgid "Download this page"
+msgstr "Descarregueu aquesta pàgina"
+
+msgid "Source repository"
+msgstr "Dipòsit de fonts"
+
+msgid "By"
+msgstr "Per"
+
+msgid "Last updated on"
+msgstr "Darrera actualització el"
+
+msgid "Toggle navigation"
+msgstr "Commuta la navegació"
+
+msgid "Sphinx Book Theme"
+msgstr "Tema del llibre Esfinx"
+
+msgid "suggest edit"
+msgstr "suggerir edició"
+
+msgid "Open an issue"
+msgstr "Obriu un número"
+
+msgid "Launch"
+msgstr "Llançament"
+
+msgid "Edit this page"
+msgstr "Editeu aquesta pàgina"
+
+msgid "By the"
+msgstr "Per la"
+
+msgid "next page"
+msgstr "pàgina següent"
diff --git a/_static/locales/cs/LC_MESSAGES/booktheme.mo b/_static/locales/cs/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..c39e01a6ae9ae5242f04566ffa2cda96b328ca18
GIT binary patch
literal 1405
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literal 0
HcmV?d00001

diff --git a/_static/locales/cs/LC_MESSAGES/booktheme.po b/_static/locales/cs/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..c6ef46908
--- /dev/null
+++ b/_static/locales/cs/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: cs\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Tisk do PDF"
+
+msgid "Theme by the"
+msgstr "Téma od"
+
+msgid "Download source file"
+msgstr "Stáhněte si zdrojový soubor"
+
+msgid "open issue"
+msgstr "otevřené číslo"
+
+msgid "Contents"
+msgstr "Obsah"
+
+msgid "previous page"
+msgstr "předchozí stránka"
+
+msgid "Download notebook file"
+msgstr "Stáhnout soubor poznámkového bloku"
+
+msgid "Copyright"
+msgstr "autorská práva"
+
+msgid "Download this page"
+msgstr "Stáhněte si tuto stránku"
+
+msgid "Source repository"
+msgstr "Zdrojové úložiště"
+
+msgid "By"
+msgstr "Podle"
+
+msgid "repository"
+msgstr "úložiště"
+
+msgid "Last updated on"
+msgstr "Naposledy aktualizováno"
+
+msgid "Toggle navigation"
+msgstr "Přepnout navigaci"
+
+msgid "Sphinx Book Theme"
+msgstr "Téma knihy Sfinga"
+
+msgid "suggest edit"
+msgstr "navrhnout úpravy"
+
+msgid "Open an issue"
+msgstr "Otevřete problém"
+
+msgid "Launch"
+msgstr "Zahájení"
+
+msgid "Fullscreen mode"
+msgstr "Režim celé obrazovky"
+
+msgid "Edit this page"
+msgstr "Upravit tuto stránku"
+
+msgid "By the"
+msgstr "Podle"
+
+msgid "next page"
+msgstr "další strana"
diff --git a/_static/locales/da/LC_MESSAGES/booktheme.mo b/_static/locales/da/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..f43157d70c63ff21b4385dc36cb73f5b14eb6b01
GIT binary patch
literal 1304
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literal 0
HcmV?d00001

diff --git a/_static/locales/da/LC_MESSAGES/booktheme.po b/_static/locales/da/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..306a38e52
--- /dev/null
+++ b/_static/locales/da/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: da\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Udskriv til PDF"
+
+msgid "Theme by the"
+msgstr "Tema af"
+
+msgid "Download source file"
+msgstr "Download kildefil"
+
+msgid "open issue"
+msgstr "åbent nummer"
+
+msgid "Contents"
+msgstr "Indhold"
+
+msgid "previous page"
+msgstr "forrige side"
+
+msgid "Download notebook file"
+msgstr "Download notesbog-fil"
+
+msgid "Copyright"
+msgstr "ophavsret"
+
+msgid "Download this page"
+msgstr "Download denne side"
+
+msgid "Source repository"
+msgstr "Kildelager"
+
+msgid "By"
+msgstr "Ved"
+
+msgid "repository"
+msgstr "lager"
+
+msgid "Last updated on"
+msgstr "Sidst opdateret den"
+
+msgid "Toggle navigation"
+msgstr "Skift navigation"
+
+msgid "Sphinx Book Theme"
+msgstr "Sphinx bogtema"
+
+msgid "suggest edit"
+msgstr "foreslå redigering"
+
+msgid "Open an issue"
+msgstr "Åbn et problem"
+
+msgid "Launch"
+msgstr "Start"
+
+msgid "Fullscreen mode"
+msgstr "Fuldskærmstilstand"
+
+msgid "Edit this page"
+msgstr "Rediger denne side"
+
+msgid "By the"
+msgstr "Ved"
+
+msgid "next page"
+msgstr "Næste side"
diff --git a/_static/locales/de/LC_MESSAGES/booktheme.mo b/_static/locales/de/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..648b565c7829535bc5f26f86909f458d0cd0fe1b
GIT binary patch
literal 1388
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literal 0
HcmV?d00001

diff --git a/_static/locales/de/LC_MESSAGES/booktheme.po b/_static/locales/de/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..4925360d4
--- /dev/null
+++ b/_static/locales/de/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: de\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "In PDF drucken"
+
+msgid "Theme by the"
+msgstr "Thema von der"
+
+msgid "Download source file"
+msgstr "Quelldatei herunterladen"
+
+msgid "open issue"
+msgstr "offenes Thema"
+
+msgid "Contents"
+msgstr "Inhalt"
+
+msgid "previous page"
+msgstr "vorherige Seite"
+
+msgid "Download notebook file"
+msgstr "Notebook-Datei herunterladen"
+
+msgid "Copyright"
+msgstr "Urheberrechte ©"
+
+msgid "Download this page"
+msgstr "Laden Sie diese Seite herunter"
+
+msgid "Source repository"
+msgstr "Quell-Repository"
+
+msgid "By"
+msgstr "Durch"
+
+msgid "repository"
+msgstr "Repository"
+
+msgid "Last updated on"
+msgstr "Zuletzt aktualisiert am"
+
+msgid "Toggle navigation"
+msgstr "Navigation umschalten"
+
+msgid "Sphinx Book Theme"
+msgstr "Sphinx-Buch-Thema"
+
+msgid "suggest edit"
+msgstr "vorschlagen zu bearbeiten"
+
+msgid "Open an issue"
+msgstr "Öffnen Sie ein Problem"
+
+msgid "Launch"
+msgstr "Starten"
+
+msgid "Fullscreen mode"
+msgstr "Vollbildmodus"
+
+msgid "Edit this page"
+msgstr "Bearbeite diese Seite"
+
+msgid "By the"
+msgstr "Bis zum"
+
+msgid "next page"
+msgstr "Nächste Seite"
diff --git a/_static/locales/el/LC_MESSAGES/booktheme.mo b/_static/locales/el/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..fca6e9355f314677f2890f5679fd79dd67a7a5a2
GIT binary patch
literal 1722
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literal 0
HcmV?d00001

diff --git a/_static/locales/el/LC_MESSAGES/booktheme.po b/_static/locales/el/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..3e01acbd9
--- /dev/null
+++ b/_static/locales/el/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: el\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Εκτύπωση σε PDF"
+
+msgid "Theme by the"
+msgstr "Θέμα από το"
+
+msgid "Download source file"
+msgstr "Λήψη αρχείου προέλευσης"
+
+msgid "open issue"
+msgstr "ανοιχτό ζήτημα"
+
+msgid "Contents"
+msgstr "Περιεχόμενα"
+
+msgid "previous page"
+msgstr "προηγούμενη σελίδα"
+
+msgid "Download notebook file"
+msgstr "Λήψη αρχείου σημειωματάριου"
+
+msgid "Copyright"
+msgstr "Πνευματική ιδιοκτησία"
+
+msgid "Download this page"
+msgstr "Λήψη αυτής της σελίδας"
+
+msgid "Source repository"
+msgstr "Αποθήκη πηγής"
+
+msgid "By"
+msgstr "Με"
+
+msgid "repository"
+msgstr "αποθήκη"
+
+msgid "Last updated on"
+msgstr "Τελευταία ενημέρωση στις"
+
+msgid "Toggle navigation"
+msgstr "Εναλλαγή πλοήγησης"
+
+msgid "Sphinx Book Theme"
+msgstr "Θέμα βιβλίου Sphinx"
+
+msgid "suggest edit"
+msgstr "προτείνω επεξεργασία"
+
+msgid "Open an issue"
+msgstr "Ανοίξτε ένα ζήτημα"
+
+msgid "Launch"
+msgstr "Εκτόξευση"
+
+msgid "Fullscreen mode"
+msgstr "ΛΕΙΤΟΥΡΓΙΑ ΠΛΗΡΟΥΣ ΟΘΟΝΗΣ"
+
+msgid "Edit this page"
+msgstr "Επεξεργαστείτε αυτήν τη σελίδα"
+
+msgid "By the"
+msgstr "Από το"
+
+msgid "next page"
+msgstr "επόμενη σελίδα"
diff --git a/_static/locales/eo/LC_MESSAGES/booktheme.mo b/_static/locales/eo/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..d1072bbec62959524a87953d3f41b7c272ecbe37
GIT binary patch
literal 1337
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z=%6?-<TiX@#hgl!_#l@i9~5D<9eFKPTC~5#u|zStZ)nMi`9*E|UddU#;B3?(i1Q+2
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literal 0
HcmV?d00001

diff --git a/_static/locales/eo/LC_MESSAGES/booktheme.po b/_static/locales/eo/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..f7ed2262d
--- /dev/null
+++ b/_static/locales/eo/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: eo\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Presi al PDF"
+
+msgid "Theme by the"
+msgstr "Temo de la"
+
+msgid "Download source file"
+msgstr "Elŝutu fontodosieron"
+
+msgid "open issue"
+msgstr "malferma numero"
+
+msgid "Contents"
+msgstr "Enhavo"
+
+msgid "previous page"
+msgstr "antaŭa paĝo"
+
+msgid "Download notebook file"
+msgstr "Elŝutu kajeran dosieron"
+
+msgid "Copyright"
+msgstr "Kopirajto"
+
+msgid "Download this page"
+msgstr "Elŝutu ĉi tiun paĝon"
+
+msgid "Source repository"
+msgstr "Fonto-deponejo"
+
+msgid "By"
+msgstr "De"
+
+msgid "repository"
+msgstr "deponejo"
+
+msgid "Last updated on"
+msgstr "Laste ĝisdatigita la"
+
+msgid "Toggle navigation"
+msgstr "Ŝalti navigadon"
+
+msgid "Sphinx Book Theme"
+msgstr "Sfinksa Libro-Temo"
+
+msgid "suggest edit"
+msgstr "sugesti redaktadon"
+
+msgid "Open an issue"
+msgstr "Malfermu numeron"
+
+msgid "Launch"
+msgstr "Lanĉo"
+
+msgid "Fullscreen mode"
+msgstr "Plenekrana reĝimo"
+
+msgid "Edit this page"
+msgstr "Redaktu ĉi tiun paĝon"
+
+msgid "By the"
+msgstr "Per la"
+
+msgid "next page"
+msgstr "sekva paĝo"
diff --git a/_static/locales/es/LC_MESSAGES/booktheme.mo b/_static/locales/es/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..ba2ee4dc22148ed53f2aeba32c5965654d4a5a2f
GIT binary patch
literal 1396
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zU>uxyy|KKi?sj^CYadPWVO!m;OXD8uC5dfPa>c40^|ZUw#21BS?P$vslng{1KTKV8
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zk_k)9C=?Vlg{(ANUY4?kat==RzrVWKpj=Q5{Q{y&B&juy+NY=9viqbpt^2(7Sd&X+
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iU!*-mQ^Nsab@xTRCJqKkd{;ciD^w4Rh!536LH!R)!cyS?

literal 0
HcmV?d00001

diff --git a/_static/locales/es/LC_MESSAGES/booktheme.po b/_static/locales/es/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..5e0029e5f
--- /dev/null
+++ b/_static/locales/es/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: es\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Imprimir en PDF"
+
+msgid "Theme by the"
+msgstr "Tema por el"
+
+msgid "Download source file"
+msgstr "Descargar archivo fuente"
+
+msgid "open issue"
+msgstr "Tema abierto"
+
+msgid "Contents"
+msgstr "Contenido"
+
+msgid "previous page"
+msgstr "pagina anterior"
+
+msgid "Download notebook file"
+msgstr "Descargar archivo de cuaderno"
+
+msgid "Copyright"
+msgstr "Derechos de autor"
+
+msgid "Download this page"
+msgstr "Descarga esta pagina"
+
+msgid "Source repository"
+msgstr "Repositorio de origen"
+
+msgid "By"
+msgstr "Por"
+
+msgid "repository"
+msgstr "repositorio"
+
+msgid "Last updated on"
+msgstr "Ultima actualización en"
+
+msgid "Toggle navigation"
+msgstr "Navegación de palanca"
+
+msgid "Sphinx Book Theme"
+msgstr "Tema del libro de la esfinge"
+
+msgid "suggest edit"
+msgstr "sugerir editar"
+
+msgid "Open an issue"
+msgstr "Abrir un problema"
+
+msgid "Launch"
+msgstr "Lanzamiento"
+
+msgid "Fullscreen mode"
+msgstr "Modo de pantalla completa"
+
+msgid "Edit this page"
+msgstr "Edita esta página"
+
+msgid "By the"
+msgstr "Por el"
+
+msgid "next page"
+msgstr "siguiente página"
diff --git a/_static/locales/et/LC_MESSAGES/booktheme.mo b/_static/locales/et/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..983b82391f499b67a9046c15d0dd8744650ad925
GIT binary patch
literal 1341
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P_MW2m5}a<3ol*Y+f5$~k

literal 0
HcmV?d00001

diff --git a/_static/locales/et/LC_MESSAGES/booktheme.po b/_static/locales/et/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..8680982a9
--- /dev/null
+++ b/_static/locales/et/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: et\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Prindi PDF-i"
+
+msgid "Theme by the"
+msgstr "Teema"
+
+msgid "Download source file"
+msgstr "Laadige alla lähtefail"
+
+msgid "open issue"
+msgstr "avatud küsimus"
+
+msgid "Contents"
+msgstr "Sisu"
+
+msgid "previous page"
+msgstr "eelmine leht"
+
+msgid "Download notebook file"
+msgstr "Laadige sülearvuti fail alla"
+
+msgid "Copyright"
+msgstr "Autoriõigus"
+
+msgid "Download this page"
+msgstr "Laadige see leht alla"
+
+msgid "Source repository"
+msgstr "Allikahoidla"
+
+msgid "By"
+msgstr "Kõrval"
+
+msgid "repository"
+msgstr "hoidla"
+
+msgid "Last updated on"
+msgstr "Viimati uuendatud"
+
+msgid "Toggle navigation"
+msgstr "Lülita navigeerimine sisse"
+
+msgid "Sphinx Book Theme"
+msgstr "Sfinksiraamatu teema"
+
+msgid "suggest edit"
+msgstr "soovita muuta"
+
+msgid "Open an issue"
+msgstr "Avage probleem"
+
+msgid "Launch"
+msgstr "Käivitage"
+
+msgid "Fullscreen mode"
+msgstr "Täisekraanirežiim"
+
+msgid "Edit this page"
+msgstr "Muutke seda lehte"
+
+msgid "By the"
+msgstr "Autor"
+
+msgid "next page"
+msgstr "järgmine leht"
diff --git a/_static/locales/fi/LC_MESSAGES/booktheme.mo b/_static/locales/fi/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..d8ac054597c924e3010f629caeac1c748b7211cd
GIT binary patch
literal 1368
zcmZ9KJ#5r46vquMU&lA4Af!r|g^wXX5kqz52B58kprWEjclYv|xbfLh>>S*}#K;Cr
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zrP3JRD~PP@yO_j1<%2BqSOtouvxrOEOU3;he^6Fx?@JOZg|<lI<jTU5SgrL6%AME2
z6+^L_r`kT2x7b@Zr9O%3E!XRsx-Ll!Nvj4rQ9(n*(&JFObF5Q~<OL11D;wK8()%(=
z2rdbgz>3?XUWo3*(Ha#V+1j$!k61sdlv~SpmKV48XD?rEHI0qB!<^bOz`&K<C~fCu
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zedpS|tbcYcT6wM`XD`jSM3*wXIUb4SGE>TmRqe+kV}^cf!#bT&>G1)AQnFuaA9SXR
zO>~T6=Ywl@%y^W>^xt9_kNV@0^m<T2z-5q-Si@7TDRI|jPTKKk7{>3c4B9BMrgfh(
zuVp?S>46Ru!ccTe7eieYS*GF0;G*3eAeplXnZCllffvOWA=>i5w+5yH-zgk~ao1dl
zs44(@M0}Rt9Mp|iQ#yrKbuAq3msY|P`l$x0E<_Em{7-o?CS$aPMpfmO5T&sTb;r2u
H66VBTf3Z^G

literal 0
HcmV?d00001

diff --git a/_static/locales/fi/LC_MESSAGES/booktheme.po b/_static/locales/fi/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..34dac2183
--- /dev/null
+++ b/_static/locales/fi/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: fi\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Tulosta PDF-tiedostoon"
+
+msgid "Theme by the"
+msgstr "Teeman tekijä"
+
+msgid "Download source file"
+msgstr "Lataa lähdetiedosto"
+
+msgid "open issue"
+msgstr "avoin ongelma"
+
+msgid "Contents"
+msgstr "Sisällys"
+
+msgid "previous page"
+msgstr "Edellinen sivu"
+
+msgid "Download notebook file"
+msgstr "Lataa muistikirjatiedosto"
+
+msgid "Copyright"
+msgstr "Tekijänoikeus"
+
+msgid "Download this page"
+msgstr "Lataa tämä sivu"
+
+msgid "Source repository"
+msgstr "Lähteen arkisto"
+
+msgid "By"
+msgstr "Tekijä"
+
+msgid "repository"
+msgstr "arkisto"
+
+msgid "Last updated on"
+msgstr "Viimeksi päivitetty"
+
+msgid "Toggle navigation"
+msgstr "Vaihda navigointia"
+
+msgid "Sphinx Book Theme"
+msgstr "Sphinx-kirjan teema"
+
+msgid "suggest edit"
+msgstr "ehdottaa muokkausta"
+
+msgid "Open an issue"
+msgstr "Avaa ongelma"
+
+msgid "Launch"
+msgstr "Tuoda markkinoille"
+
+msgid "Fullscreen mode"
+msgstr "Koko näytön tila"
+
+msgid "Edit this page"
+msgstr "Muokkaa tätä sivua"
+
+msgid "By the"
+msgstr "Mukaan"
+
+msgid "next page"
+msgstr "seuraava sivu"
diff --git a/_static/locales/fr/LC_MESSAGES/booktheme.mo b/_static/locales/fr/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..f663d39f0faa76c5b9bd504c51252eef74cca5de
GIT binary patch
literal 1412
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literal 0
HcmV?d00001

diff --git a/_static/locales/fr/LC_MESSAGES/booktheme.po b/_static/locales/fr/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..8991a1b87
--- /dev/null
+++ b/_static/locales/fr/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: fr\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Imprimer au format PDF"
+
+msgid "Theme by the"
+msgstr "Thème par le"
+
+msgid "Download source file"
+msgstr "Télécharger le fichier source"
+
+msgid "open issue"
+msgstr "signaler un problème"
+
+msgid "Contents"
+msgstr "Contenu"
+
+msgid "previous page"
+msgstr "page précédente"
+
+msgid "Download notebook file"
+msgstr "Télécharger le fichier notebook"
+
+msgid "Copyright"
+msgstr "droits d'auteur"
+
+msgid "Download this page"
+msgstr "Téléchargez cette page"
+
+msgid "Source repository"
+msgstr "Dépôt source"
+
+msgid "By"
+msgstr "Par"
+
+msgid "repository"
+msgstr "dépôt"
+
+msgid "Last updated on"
+msgstr "Dernière mise à jour le"
+
+msgid "Toggle navigation"
+msgstr "Basculer la navigation"
+
+msgid "Sphinx Book Theme"
+msgstr "Thème du livre Sphinx"
+
+msgid "suggest edit"
+msgstr "suggestion de modification"
+
+msgid "Open an issue"
+msgstr "Ouvrez un problème"
+
+msgid "Launch"
+msgstr "lancement"
+
+msgid "Fullscreen mode"
+msgstr "Mode plein écran"
+
+msgid "Edit this page"
+msgstr "Modifier cette page"
+
+msgid "By the"
+msgstr "Par le"
+
+msgid "next page"
+msgstr "page suivante"
diff --git a/_static/locales/hr/LC_MESSAGES/booktheme.mo b/_static/locales/hr/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..eca4a1a2842830f06bd5f6235bf01d07bdd313d2
GIT binary patch
literal 1402
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k(#nYgw(f}olqHrfw@Z7L48TfWxy6y8<oWoKnK!Qg2ay|IDF6Tf

literal 0
HcmV?d00001

diff --git a/_static/locales/hr/LC_MESSAGES/booktheme.po b/_static/locales/hr/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..42c4233d0
--- /dev/null
+++ b/_static/locales/hr/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: hr\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Ispis u PDF"
+
+msgid "Theme by the"
+msgstr "Tema autora"
+
+msgid "Download source file"
+msgstr "Preuzmi izvornu datoteku"
+
+msgid "open issue"
+msgstr "otvoreno izdanje"
+
+msgid "Contents"
+msgstr "Sadržaj"
+
+msgid "previous page"
+msgstr "Prethodna stranica"
+
+msgid "Download notebook file"
+msgstr "Preuzmi datoteku bilježnice"
+
+msgid "Copyright"
+msgstr "Autorska prava"
+
+msgid "Download this page"
+msgstr "Preuzmite ovu stranicu"
+
+msgid "Source repository"
+msgstr "Izvorno spremište"
+
+msgid "By"
+msgstr "Po"
+
+msgid "repository"
+msgstr "spremište"
+
+msgid "Last updated on"
+msgstr "Posljednje ažuriranje:"
+
+msgid "Toggle navigation"
+msgstr "Uključi / isključi navigaciju"
+
+msgid "Sphinx Book Theme"
+msgstr "Tema knjige Sphinx"
+
+msgid "suggest edit"
+msgstr "predloži uređivanje"
+
+msgid "Open an issue"
+msgstr "Otvorite izdanje"
+
+msgid "Launch"
+msgstr "Pokrenite"
+
+msgid "Fullscreen mode"
+msgstr "Način preko cijelog zaslona"
+
+msgid "Edit this page"
+msgstr "Uredite ovu stranicu"
+
+msgid "By the"
+msgstr "Od strane"
+
+msgid "next page"
+msgstr "sljedeća stranica"
diff --git a/_static/locales/id/LC_MESSAGES/booktheme.mo b/_static/locales/id/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..d07a06a9d27aaf6d67234c227c22d61d5a23203b
GIT binary patch
literal 1323
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literal 0
HcmV?d00001

diff --git a/_static/locales/id/LC_MESSAGES/booktheme.po b/_static/locales/id/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..b8d8d898e
--- /dev/null
+++ b/_static/locales/id/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: id\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Cetak ke PDF"
+
+msgid "Theme by the"
+msgstr "Tema oleh"
+
+msgid "Download source file"
+msgstr "Unduh file sumber"
+
+msgid "open issue"
+msgstr "masalah terbuka"
+
+msgid "Contents"
+msgstr "Isi"
+
+msgid "previous page"
+msgstr "halaman sebelumnya"
+
+msgid "Download notebook file"
+msgstr "Unduh file notebook"
+
+msgid "Copyright"
+msgstr "hak cipta"
+
+msgid "Download this page"
+msgstr "Unduh halaman ini"
+
+msgid "Source repository"
+msgstr "Repositori sumber"
+
+msgid "By"
+msgstr "Oleh"
+
+msgid "repository"
+msgstr "gudang"
+
+msgid "Last updated on"
+msgstr "Terakhir diperbarui saat"
+
+msgid "Toggle navigation"
+msgstr "Alihkan navigasi"
+
+msgid "Sphinx Book Theme"
+msgstr "Tema Buku Sphinx"
+
+msgid "suggest edit"
+msgstr "menyarankan edit"
+
+msgid "Open an issue"
+msgstr "Buka masalah"
+
+msgid "Launch"
+msgstr "Meluncurkan"
+
+msgid "Fullscreen mode"
+msgstr "Mode layar penuh"
+
+msgid "Edit this page"
+msgstr "Edit halaman ini"
+
+msgid "By the"
+msgstr "Oleh"
+
+msgid "next page"
+msgstr "halaman selanjutnya"
diff --git a/_static/locales/it/LC_MESSAGES/booktheme.mo b/_static/locales/it/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..53ba476edd2df2a802917e9df402257ceca1a130
GIT binary patch
literal 1403
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z!*UGfp34HuR+WV4?HsPL=1>m45R2fh*HNhPRL3xNJhx_&?Yu^?zAcKo|5pQ*LIIU4
z9%X=yZ5mFd5t*`cmL{7}b7xJ=^_*qP(gmDLw)@AXu2??D^RnquqSO=xr-aR>O-k3u
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literal 0
HcmV?d00001

diff --git a/_static/locales/it/LC_MESSAGES/booktheme.po b/_static/locales/it/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..36fca59f8
--- /dev/null
+++ b/_static/locales/it/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: it\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Stampa in PDF"
+
+msgid "Theme by the"
+msgstr "Tema di"
+
+msgid "Download source file"
+msgstr "Scarica il file sorgente"
+
+msgid "open issue"
+msgstr "questione aperta"
+
+msgid "Contents"
+msgstr "Contenuti"
+
+msgid "previous page"
+msgstr "pagina precedente"
+
+msgid "Download notebook file"
+msgstr "Scarica il file del taccuino"
+
+msgid "Copyright"
+msgstr "Diritto d'autore"
+
+msgid "Download this page"
+msgstr "Scarica questa pagina"
+
+msgid "Source repository"
+msgstr "Repository di origine"
+
+msgid "By"
+msgstr "Di"
+
+msgid "repository"
+msgstr "repository"
+
+msgid "Last updated on"
+msgstr "Ultimo aggiornamento il"
+
+msgid "Toggle navigation"
+msgstr "Attiva / disattiva la navigazione"
+
+msgid "Sphinx Book Theme"
+msgstr "Tema del libro della Sfinge"
+
+msgid "suggest edit"
+msgstr "suggerisci modifica"
+
+msgid "Open an issue"
+msgstr "Apri un problema"
+
+msgid "Launch"
+msgstr "Lanciare"
+
+msgid "Fullscreen mode"
+msgstr "Modalità schermo intero"
+
+msgid "Edit this page"
+msgstr "Modifica questa pagina"
+
+msgid "By the"
+msgstr "Dal"
+
+msgid "next page"
+msgstr "pagina successiva"
diff --git a/_static/locales/iw/LC_MESSAGES/booktheme.mo b/_static/locales/iw/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..a45c6575e469914582f8223ac54793afc2f26575
GIT binary patch
literal 1445
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F;x7>$;pPAU

literal 0
HcmV?d00001

diff --git a/_static/locales/iw/LC_MESSAGES/booktheme.po b/_static/locales/iw/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..dede9cb08
--- /dev/null
+++ b/_static/locales/iw/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: iw\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "הדפס לקובץ PDF"
+
+msgid "Theme by the"
+msgstr "נושא מאת"
+
+msgid "Download source file"
+msgstr "הורד את קובץ המקור"
+
+msgid "open issue"
+msgstr "בעיה פתוחה"
+
+msgid "Contents"
+msgstr "תוכן"
+
+msgid "previous page"
+msgstr "עמוד קודם"
+
+msgid "Download notebook file"
+msgstr "הורד קובץ מחברת"
+
+msgid "Copyright"
+msgstr "זכויות יוצרים"
+
+msgid "Download this page"
+msgstr "הורד דף זה"
+
+msgid "Source repository"
+msgstr "מאגר המקורות"
+
+msgid "By"
+msgstr "על ידי"
+
+msgid "repository"
+msgstr "מאגר"
+
+msgid "Last updated on"
+msgstr "עודכן לאחרונה ב"
+
+msgid "Toggle navigation"
+msgstr "החלף ניווט"
+
+msgid "Sphinx Book Theme"
+msgstr "נושא ספר ספינקס"
+
+msgid "suggest edit"
+msgstr "מציע לערוך"
+
+msgid "Open an issue"
+msgstr "פתח גיליון"
+
+msgid "Launch"
+msgstr "לְהַשִׁיק"
+
+msgid "Fullscreen mode"
+msgstr "מצב מסך מלא"
+
+msgid "Edit this page"
+msgstr "ערוך דף זה"
+
+msgid "By the"
+msgstr "דרך"
+
+msgid "next page"
+msgstr "עמוד הבא"
diff --git a/_static/locales/ja/LC_MESSAGES/booktheme.mo b/_static/locales/ja/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..1cefd29ce3cc08792667a82dc7ff47e9843107be
GIT binary patch
literal 1471
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literal 0
HcmV?d00001

diff --git a/_static/locales/ja/LC_MESSAGES/booktheme.po b/_static/locales/ja/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..2615f0d87
--- /dev/null
+++ b/_static/locales/ja/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: ja\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "PDFに印刷"
+
+msgid "Theme by the"
+msgstr "のテーマ"
+
+msgid "Download source file"
+msgstr "ソースファイルをダウンロード"
+
+msgid "open issue"
+msgstr "未解決の問題"
+
+msgid "Contents"
+msgstr "目次"
+
+msgid "previous page"
+msgstr "前のページ"
+
+msgid "Download notebook file"
+msgstr "ノートブックファイルをダウンロード"
+
+msgid "Copyright"
+msgstr "Copyright"
+
+msgid "Download this page"
+msgstr "このページをダウンロード"
+
+msgid "Source repository"
+msgstr "ソースリポジトリ"
+
+msgid "By"
+msgstr "著者"
+
+msgid "repository"
+msgstr "リポジトリ"
+
+msgid "Last updated on"
+msgstr "最終更新日"
+
+msgid "Toggle navigation"
+msgstr "ナビゲーションを切り替え"
+
+msgid "Sphinx Book Theme"
+msgstr "スフィンクスの本のテーマ"
+
+msgid "suggest edit"
+msgstr "編集を提案する"
+
+msgid "Open an issue"
+msgstr "問題を報告"
+
+msgid "Launch"
+msgstr "起動"
+
+msgid "Fullscreen mode"
+msgstr "全画面モード"
+
+msgid "Edit this page"
+msgstr "このページを編集"
+
+msgid "By the"
+msgstr "によって"
+
+msgid "next page"
+msgstr "次のページ"
diff --git a/_static/locales/ko/LC_MESSAGES/booktheme.mo b/_static/locales/ko/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..06c7ec938b4975c721caff60b956e343eef11570
GIT binary patch
literal 1375
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zVByt<c|5_)*k$u{<ok4mg@es#xEW4g;Zdbx>hE}X>$!Q{z_su`ZeFjL;phL~syBFa
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D6Q!<*

literal 0
HcmV?d00001

diff --git a/_static/locales/ko/LC_MESSAGES/booktheme.po b/_static/locales/ko/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..c9e13a427
--- /dev/null
+++ b/_static/locales/ko/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: ko\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "PDF로 인쇄"
+
+msgid "Theme by the"
+msgstr "테마별"
+
+msgid "Download source file"
+msgstr "소스 파일 다운로드"
+
+msgid "open issue"
+msgstr "열린 문제"
+
+msgid "Contents"
+msgstr "내용"
+
+msgid "previous page"
+msgstr "이전 페이지"
+
+msgid "Download notebook file"
+msgstr "노트북 파일 다운로드"
+
+msgid "Copyright"
+msgstr "저작권"
+
+msgid "Download this page"
+msgstr "이 페이지 다운로드"
+
+msgid "Source repository"
+msgstr "소스 저장소"
+
+msgid "By"
+msgstr "으로"
+
+msgid "repository"
+msgstr "저장소"
+
+msgid "Last updated on"
+msgstr "마지막 업데이트"
+
+msgid "Toggle navigation"
+msgstr "탐색 전환"
+
+msgid "Sphinx Book Theme"
+msgstr "스핑크스 도서 테마"
+
+msgid "suggest edit"
+msgstr "편집 제안"
+
+msgid "Open an issue"
+msgstr "이슈 열기"
+
+msgid "Launch"
+msgstr "시작하다"
+
+msgid "Fullscreen mode"
+msgstr "전체 화면으로보기"
+
+msgid "Edit this page"
+msgstr "이 페이지 편집"
+
+msgid "By the"
+msgstr "에 의해"
+
+msgid "next page"
+msgstr "다음 페이지"
diff --git a/_static/locales/lt/LC_MESSAGES/booktheme.mo b/_static/locales/lt/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..4468ba04bc134a84fea5e3c973461cf02c9c2da3
GIT binary patch
literal 1413
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ClWZvf

literal 0
HcmV?d00001

diff --git a/_static/locales/lt/LC_MESSAGES/booktheme.po b/_static/locales/lt/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..35eabd955
--- /dev/null
+++ b/_static/locales/lt/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: lt\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Spausdinti į PDF"
+
+msgid "Theme by the"
+msgstr "Tema"
+
+msgid "Download source file"
+msgstr "Atsisiųsti šaltinio failą"
+
+msgid "open issue"
+msgstr "atviras klausimas"
+
+msgid "Contents"
+msgstr "Turinys"
+
+msgid "previous page"
+msgstr "Ankstesnis puslapis"
+
+msgid "Download notebook file"
+msgstr "Atsisiųsti nešiojamojo kompiuterio failą"
+
+msgid "Copyright"
+msgstr "Autorių teisės"
+
+msgid "Download this page"
+msgstr "Atsisiųskite šį puslapį"
+
+msgid "Source repository"
+msgstr "Šaltinio saugykla"
+
+msgid "By"
+msgstr "Iki"
+
+msgid "repository"
+msgstr "saugykla"
+
+msgid "Last updated on"
+msgstr "Paskutinį kartą atnaujinta"
+
+msgid "Toggle navigation"
+msgstr "Perjungti naršymą"
+
+msgid "Sphinx Book Theme"
+msgstr "Sfinkso knygos tema"
+
+msgid "suggest edit"
+msgstr "pasiūlyti redaguoti"
+
+msgid "Open an issue"
+msgstr "Atidarykite problemą"
+
+msgid "Launch"
+msgstr "Paleiskite"
+
+msgid "Fullscreen mode"
+msgstr "Pilno ekrano režimas"
+
+msgid "Edit this page"
+msgstr "Redaguoti šį puslapį"
+
+msgid "By the"
+msgstr "Prie"
+
+msgid "next page"
+msgstr "Kitas puslapis"
diff --git a/_static/locales/lv/LC_MESSAGES/booktheme.mo b/_static/locales/lv/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..74aa4d8985d96a07c4c9be96f006f3b58d884342
GIT binary patch
literal 1404
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zUH=1$um8Z;!As|eUIA~m+y%w|6qJ5G0bd5c0G|fGYu|qlzJT=-lzP8`lHs4A_&D=q
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z22*^U9FmJ@OFxKVl@HxMz@_4p=>umY+Zgar9e9&XBW=2mZRzw_Sr>WeT%jhW<m2t&
zk{|J@%{VndRXStZ8k>mHkCxl1EW^k%TQzfIrX3xkO4V3L9xG?DPIfe<4=WtdR+$hI
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zez(&G+uc8?xThivyi=9h*mX6UY9BcE@9l4QZylfW+J*`H?v@?7v9VcC-5Q$M+0iyj
z$hD`+d1p{2ugmVX^Rv)XwpuMi|K_@C9{X=v^;%!ucx$~w8wptj+VHfeW0EJ?h=xP`
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zBv*eURUdB+Oli45Wvi9v<xh|bG^mfDojcFwQ0bWCS1`6-;BUNl80tk4X(P_rOYO?L
zVObx|5^efa;EenlYJwo}TrX&2<xB)(nltT9j4gtG)Qb)(;$z)ppxecuUig5bS#185
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A2mk;8

literal 0
HcmV?d00001

diff --git a/_static/locales/lv/LC_MESSAGES/booktheme.po b/_static/locales/lv/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..ee1bd08df
--- /dev/null
+++ b/_static/locales/lv/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: lv\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Drukāt PDF formātā"
+
+msgid "Theme by the"
+msgstr "Autora tēma"
+
+msgid "Download source file"
+msgstr "Lejupielādēt avota failu"
+
+msgid "open issue"
+msgstr "atklāts jautājums"
+
+msgid "Contents"
+msgstr "Saturs"
+
+msgid "previous page"
+msgstr "iepriekšējā lapa"
+
+msgid "Download notebook file"
+msgstr "Lejupielādēt piezīmju grāmatiņu"
+
+msgid "Copyright"
+msgstr "Autortiesības"
+
+msgid "Download this page"
+msgstr "Lejupielādējiet šo lapu"
+
+msgid "Source repository"
+msgstr "Avota krātuve"
+
+msgid "By"
+msgstr "Autors"
+
+msgid "repository"
+msgstr "krātuve"
+
+msgid "Last updated on"
+msgstr "Pēdējoreiz atjaunināts"
+
+msgid "Toggle navigation"
+msgstr "Pārslēgt navigāciju"
+
+msgid "Sphinx Book Theme"
+msgstr "Sfinksa grāmatas tēma"
+
+msgid "suggest edit"
+msgstr "ieteikt rediģēt"
+
+msgid "Open an issue"
+msgstr "Atveriet problēmu"
+
+msgid "Launch"
+msgstr "Uzsākt"
+
+msgid "Fullscreen mode"
+msgstr "Pilnekrāna režīms"
+
+msgid "Edit this page"
+msgstr "Rediģēt šo lapu"
+
+msgid "By the"
+msgstr "Ar"
+
+msgid "next page"
+msgstr "nākamā lapaspuse"
diff --git a/_static/locales/ml/LC_MESSAGES/booktheme.mo b/_static/locales/ml/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..2736e8fcf6f9e923c2403307f0b366086d37b335
GIT binary patch
literal 1883
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literal 0
HcmV?d00001

diff --git a/_static/locales/ml/LC_MESSAGES/booktheme.po b/_static/locales/ml/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..d471277d6
--- /dev/null
+++ b/_static/locales/ml/LC_MESSAGES/booktheme.po
@@ -0,0 +1,66 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: ml\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "PDF- ലേക്ക് പ്രിന്റുചെയ്യുക"
+
+msgid "Theme by the"
+msgstr "പ്രമേയം"
+
+msgid "Download source file"
+msgstr "ഉറവിട ഫയൽ ഡൗൺലോഡുചെയ്യുക"
+
+msgid "open issue"
+msgstr "തുറന്ന പ്രശ്നം"
+
+msgid "previous page"
+msgstr "മുൻപത്തെ താൾ"
+
+msgid "Download notebook file"
+msgstr "നോട്ട്ബുക്ക് ഫയൽ ഡൺലോഡ് ചെയ്യുക"
+
+msgid "Copyright"
+msgstr "പകർപ്പവകാശം"
+
+msgid "Download this page"
+msgstr "ഈ പേജ് ഡൗൺലോഡുചെയ്യുക"
+
+msgid "Source repository"
+msgstr "ഉറവിട ശേഖരം"
+
+msgid "By"
+msgstr "എഴുതിയത്"
+
+msgid "Last updated on"
+msgstr "അവസാനം അപ്‌ഡേറ്റുചെയ്‌തത്"
+
+msgid "Toggle navigation"
+msgstr "നാവിഗേഷൻ ടോഗിൾ ചെയ്യുക"
+
+msgid "Sphinx Book Theme"
+msgstr "സ്ഫിങ്ക്സ് പുസ്തക തീം"
+
+msgid "suggest edit"
+msgstr "എഡിറ്റുചെയ്യാൻ നിർദ്ദേശിക്കുക"
+
+msgid "Open an issue"
+msgstr "ഒരു പ്രശ്നം തുറക്കുക"
+
+msgid "Launch"
+msgstr "സമാരംഭിക്കുക"
+
+msgid "Edit this page"
+msgstr "ഈ പേജ് എഡിറ്റുചെയ്യുക"
+
+msgid "By the"
+msgstr "എഴുതിയത്"
+
+msgid "next page"
+msgstr "അടുത്ത പേജ്"
diff --git a/_static/locales/mr/LC_MESSAGES/booktheme.mo b/_static/locales/mr/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..fe530100d7715cdc19a6f9db33a971665835f3c4
GIT binary patch
literal 1674
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literal 0
HcmV?d00001

diff --git a/_static/locales/mr/LC_MESSAGES/booktheme.po b/_static/locales/mr/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..f3694acfa
--- /dev/null
+++ b/_static/locales/mr/LC_MESSAGES/booktheme.po
@@ -0,0 +1,66 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: mr\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "पीडीएफवर मुद्रित करा"
+
+msgid "Theme by the"
+msgstr "द्वारा थीम"
+
+msgid "Download source file"
+msgstr "स्त्रोत फाइल डाउनलोड करा"
+
+msgid "open issue"
+msgstr "खुला मुद्दा"
+
+msgid "previous page"
+msgstr "मागील पान"
+
+msgid "Download notebook file"
+msgstr "नोटबुक फाईल डाउनलोड करा"
+
+msgid "Copyright"
+msgstr "कॉपीराइट"
+
+msgid "Download this page"
+msgstr "हे पृष्ठ डाउनलोड करा"
+
+msgid "Source repository"
+msgstr "स्त्रोत भांडार"
+
+msgid "By"
+msgstr "द्वारा"
+
+msgid "Last updated on"
+msgstr "अखेरचे अद्यतनित"
+
+msgid "Toggle navigation"
+msgstr "नेव्हिगेशन टॉगल करा"
+
+msgid "Sphinx Book Theme"
+msgstr "स्फिंक्स बुक थीम"
+
+msgid "suggest edit"
+msgstr "संपादन सुचवा"
+
+msgid "Open an issue"
+msgstr "एक मुद्दा उघडा"
+
+msgid "Launch"
+msgstr "लाँच करा"
+
+msgid "Edit this page"
+msgstr "हे पृष्ठ संपादित करा"
+
+msgid "By the"
+msgstr "द्वारा"
+
+msgid "next page"
+msgstr "पुढील पृष्ठ"
diff --git a/_static/locales/ms/LC_MESSAGES/booktheme.mo b/_static/locales/ms/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..f02603fa2522a40060bd3f1b5d65052c77530de6
GIT binary patch
literal 1213
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literal 0
HcmV?d00001

diff --git a/_static/locales/ms/LC_MESSAGES/booktheme.po b/_static/locales/ms/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..65b7c6026
--- /dev/null
+++ b/_static/locales/ms/LC_MESSAGES/booktheme.po
@@ -0,0 +1,66 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: ms\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Cetak ke PDF"
+
+msgid "Theme by the"
+msgstr "Tema oleh"
+
+msgid "Download source file"
+msgstr "Muat turun fail sumber"
+
+msgid "open issue"
+msgstr "isu terbuka"
+
+msgid "previous page"
+msgstr "halaman sebelumnya"
+
+msgid "Download notebook file"
+msgstr "Muat turun fail buku nota"
+
+msgid "Copyright"
+msgstr "hak cipta"
+
+msgid "Download this page"
+msgstr "Muat turun halaman ini"
+
+msgid "Source repository"
+msgstr "Repositori sumber"
+
+msgid "By"
+msgstr "Oleh"
+
+msgid "Last updated on"
+msgstr "Terakhir dikemas kini pada"
+
+msgid "Toggle navigation"
+msgstr "Togol navigasi"
+
+msgid "Sphinx Book Theme"
+msgstr "Tema Buku Sphinx"
+
+msgid "suggest edit"
+msgstr "cadangkan edit"
+
+msgid "Open an issue"
+msgstr "Buka masalah"
+
+msgid "Launch"
+msgstr "Lancarkan"
+
+msgid "Edit this page"
+msgstr "Edit halaman ini"
+
+msgid "By the"
+msgstr "Oleh"
+
+msgid "next page"
+msgstr "muka surat seterusnya"
diff --git a/_static/locales/nl/LC_MESSAGES/booktheme.mo b/_static/locales/nl/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..e59e7ecb308a7648cd23aa6342a9ad98a61d0009
GIT binary patch
literal 1356
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literal 0
HcmV?d00001

diff --git a/_static/locales/nl/LC_MESSAGES/booktheme.po b/_static/locales/nl/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..71bd1cda7
--- /dev/null
+++ b/_static/locales/nl/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: nl\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Afdrukken naar pdf"
+
+msgid "Theme by the"
+msgstr "Thema door de"
+
+msgid "Download source file"
+msgstr "Download het bronbestand"
+
+msgid "open issue"
+msgstr "open probleem"
+
+msgid "Contents"
+msgstr "Inhoud"
+
+msgid "previous page"
+msgstr "vorige pagina"
+
+msgid "Download notebook file"
+msgstr "Download notebookbestand"
+
+msgid "Copyright"
+msgstr "auteursrechten"
+
+msgid "Download this page"
+msgstr "Download deze pagina"
+
+msgid "Source repository"
+msgstr "Bronopslagplaats"
+
+msgid "By"
+msgstr "Door"
+
+msgid "repository"
+msgstr "repository"
+
+msgid "Last updated on"
+msgstr "Laatst geupdate op"
+
+msgid "Toggle navigation"
+msgstr "Schakel navigatie"
+
+msgid "Sphinx Book Theme"
+msgstr "Sphinx-boekthema"
+
+msgid "suggest edit"
+msgstr "suggereren bewerken"
+
+msgid "Open an issue"
+msgstr "Open een probleem"
+
+msgid "Launch"
+msgstr "Lancering"
+
+msgid "Fullscreen mode"
+msgstr "Volledig scherm"
+
+msgid "Edit this page"
+msgstr "bewerk deze pagina"
+
+msgid "By the"
+msgstr "Door de"
+
+msgid "next page"
+msgstr "volgende bladzijde"
diff --git a/_static/locales/no/LC_MESSAGES/booktheme.mo b/_static/locales/no/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..6cd15c88de675226c00ca4d0430171075e5559ff
GIT binary patch
literal 1317
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literal 0
HcmV?d00001

diff --git a/_static/locales/no/LC_MESSAGES/booktheme.po b/_static/locales/no/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..b21346a51
--- /dev/null
+++ b/_static/locales/no/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: no\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Skriv ut til PDF"
+
+msgid "Theme by the"
+msgstr "Tema av"
+
+msgid "Download source file"
+msgstr "Last ned kildefilen"
+
+msgid "open issue"
+msgstr "åpent nummer"
+
+msgid "Contents"
+msgstr "Innhold"
+
+msgid "previous page"
+msgstr "forrige side"
+
+msgid "Download notebook file"
+msgstr "Last ned notatbokfilen"
+
+msgid "Copyright"
+msgstr "opphavsrett"
+
+msgid "Download this page"
+msgstr "Last ned denne siden"
+
+msgid "Source repository"
+msgstr "Kildedepot"
+
+msgid "By"
+msgstr "Av"
+
+msgid "repository"
+msgstr "oppbevaringssted"
+
+msgid "Last updated on"
+msgstr "Sist oppdatert den"
+
+msgid "Toggle navigation"
+msgstr "Bytt navigasjon"
+
+msgid "Sphinx Book Theme"
+msgstr "Sphinx boktema"
+
+msgid "suggest edit"
+msgstr "foreslå redigering"
+
+msgid "Open an issue"
+msgstr "Åpne et problem"
+
+msgid "Launch"
+msgstr "Start"
+
+msgid "Fullscreen mode"
+msgstr "Fullskjerm-modus"
+
+msgid "Edit this page"
+msgstr "Rediger denne siden"
+
+msgid "By the"
+msgstr "Ved"
+
+msgid "next page"
+msgstr "neste side"
diff --git a/_static/locales/pl/LC_MESSAGES/booktheme.mo b/_static/locales/pl/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..9ebb584f77091f5666db4194ecd4f707396cbbca
GIT binary patch
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literal 0
HcmV?d00001

diff --git a/_static/locales/pl/LC_MESSAGES/booktheme.po b/_static/locales/pl/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..1b7233f4f
--- /dev/null
+++ b/_static/locales/pl/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: pl\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Drukuj do PDF"
+
+msgid "Theme by the"
+msgstr "Motyw autorstwa"
+
+msgid "Download source file"
+msgstr "Pobierz plik źródłowy"
+
+msgid "open issue"
+msgstr "otwarty problem"
+
+msgid "Contents"
+msgstr "Zawartość"
+
+msgid "previous page"
+msgstr "Poprzednia strona"
+
+msgid "Download notebook file"
+msgstr "Pobierz plik notatnika"
+
+msgid "Copyright"
+msgstr "prawa autorskie"
+
+msgid "Download this page"
+msgstr "Pobierz tę stronę"
+
+msgid "Source repository"
+msgstr "Repozytorium źródłowe"
+
+msgid "By"
+msgstr "Przez"
+
+msgid "repository"
+msgstr "magazyn"
+
+msgid "Last updated on"
+msgstr "Ostatnia aktualizacja"
+
+msgid "Toggle navigation"
+msgstr "Przełącz nawigację"
+
+msgid "Sphinx Book Theme"
+msgstr "Motyw książki Sphinx"
+
+msgid "suggest edit"
+msgstr "zaproponuj edycję"
+
+msgid "Open an issue"
+msgstr "Otwórz problem"
+
+msgid "Launch"
+msgstr "Uruchomić"
+
+msgid "Fullscreen mode"
+msgstr "Pełny ekran"
+
+msgid "Edit this page"
+msgstr "Edytuj tę strone"
+
+msgid "By the"
+msgstr "Przez"
+
+msgid "next page"
+msgstr "Następna strona"
diff --git a/_static/locales/pt/LC_MESSAGES/booktheme.mo b/_static/locales/pt/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..d0ddb8728e1d5ef72dddc1537f66aa32251a83c8
GIT binary patch
literal 1364
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literal 0
HcmV?d00001

diff --git a/_static/locales/pt/LC_MESSAGES/booktheme.po b/_static/locales/pt/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..1b27314d6
--- /dev/null
+++ b/_static/locales/pt/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: pt\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Imprimir em PDF"
+
+msgid "Theme by the"
+msgstr "Tema por"
+
+msgid "Download source file"
+msgstr "Baixar arquivo fonte"
+
+msgid "open issue"
+msgstr "questão aberta"
+
+msgid "Contents"
+msgstr "Conteúdo"
+
+msgid "previous page"
+msgstr "página anterior"
+
+msgid "Download notebook file"
+msgstr "Baixar arquivo de notebook"
+
+msgid "Copyright"
+msgstr "direito autoral"
+
+msgid "Download this page"
+msgstr "Baixe esta página"
+
+msgid "Source repository"
+msgstr "Repositório fonte"
+
+msgid "By"
+msgstr "De"
+
+msgid "repository"
+msgstr "repositório"
+
+msgid "Last updated on"
+msgstr "Última atualização em"
+
+msgid "Toggle navigation"
+msgstr "Alternar de navegação"
+
+msgid "Sphinx Book Theme"
+msgstr "Tema do livro Sphinx"
+
+msgid "suggest edit"
+msgstr "sugerir edição"
+
+msgid "Open an issue"
+msgstr "Abra um problema"
+
+msgid "Launch"
+msgstr "Lançamento"
+
+msgid "Fullscreen mode"
+msgstr "Modo tela cheia"
+
+msgid "Edit this page"
+msgstr "Edite essa página"
+
+msgid "By the"
+msgstr "Pelo"
+
+msgid "next page"
+msgstr "próxima página"
diff --git a/_static/locales/ro/LC_MESSAGES/booktheme.mo b/_static/locales/ro/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..3c36ab1df7c589ad82614599b8c91f072a25d4a6
GIT binary patch
literal 1390
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literal 0
HcmV?d00001

diff --git a/_static/locales/ro/LC_MESSAGES/booktheme.po b/_static/locales/ro/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..1783ad2c4
--- /dev/null
+++ b/_static/locales/ro/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: ro\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Imprimați în PDF"
+
+msgid "Theme by the"
+msgstr "Tema de"
+
+msgid "Download source file"
+msgstr "Descărcați fișierul sursă"
+
+msgid "open issue"
+msgstr "problema deschisă"
+
+msgid "Contents"
+msgstr "Cuprins"
+
+msgid "previous page"
+msgstr "pagina anterioară"
+
+msgid "Download notebook file"
+msgstr "Descărcați fișierul notebook"
+
+msgid "Copyright"
+msgstr "Drepturi de autor"
+
+msgid "Download this page"
+msgstr "Descarcă această pagină"
+
+msgid "Source repository"
+msgstr "Depozit sursă"
+
+msgid "By"
+msgstr "De"
+
+msgid "repository"
+msgstr "repertoriu"
+
+msgid "Last updated on"
+msgstr "Ultima actualizare la"
+
+msgid "Toggle navigation"
+msgstr "Comutare navigare"
+
+msgid "Sphinx Book Theme"
+msgstr "Tema Sphinx Book"
+
+msgid "suggest edit"
+msgstr "sugerează editare"
+
+msgid "Open an issue"
+msgstr "Deschideți o problemă"
+
+msgid "Launch"
+msgstr "Lansa"
+
+msgid "Fullscreen mode"
+msgstr "Modul ecran întreg"
+
+msgid "Edit this page"
+msgstr "Editați această pagină"
+
+msgid "By the"
+msgstr "Langa"
+
+msgid "next page"
+msgstr "pagina următoare"
diff --git a/_static/locales/ru/LC_MESSAGES/booktheme.mo b/_static/locales/ru/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..6b8ca41f36ebf869818399a9584cdb15619bea78
GIT binary patch
literal 1722
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literal 0
HcmV?d00001

diff --git a/_static/locales/ru/LC_MESSAGES/booktheme.po b/_static/locales/ru/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..b1176b7ae
--- /dev/null
+++ b/_static/locales/ru/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: ru\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Распечатать в PDF"
+
+msgid "Theme by the"
+msgstr "Тема от"
+
+msgid "Download source file"
+msgstr "Скачать исходный файл"
+
+msgid "open issue"
+msgstr "открытый вопрос"
+
+msgid "Contents"
+msgstr "Содержание"
+
+msgid "previous page"
+msgstr "Предыдущая страница"
+
+msgid "Download notebook file"
+msgstr "Скачать файл записной книжки"
+
+msgid "Copyright"
+msgstr "авторское право"
+
+msgid "Download this page"
+msgstr "Загрузите эту страницу"
+
+msgid "Source repository"
+msgstr "Исходный репозиторий"
+
+msgid "By"
+msgstr "По"
+
+msgid "repository"
+msgstr "хранилище"
+
+msgid "Last updated on"
+msgstr "Последнее обновление"
+
+msgid "Toggle navigation"
+msgstr "Переключить навигацию"
+
+msgid "Sphinx Book Theme"
+msgstr "Тема книги Сфинкс"
+
+msgid "suggest edit"
+msgstr "предложить редактировать"
+
+msgid "Open an issue"
+msgstr "Открыть вопрос"
+
+msgid "Launch"
+msgstr "Запуск"
+
+msgid "Fullscreen mode"
+msgstr "Полноэкранный режим"
+
+msgid "Edit this page"
+msgstr "Редактировать эту страницу"
+
+msgid "By the"
+msgstr "Посредством"
+
+msgid "next page"
+msgstr "Следующая страница"
diff --git a/_static/locales/sk/LC_MESSAGES/booktheme.mo b/_static/locales/sk/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..59bd0ddfa341477cf5ccfdc88f4c3e6127046f7a
GIT binary patch
literal 1393
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literal 0
HcmV?d00001

diff --git a/_static/locales/sk/LC_MESSAGES/booktheme.po b/_static/locales/sk/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..650128817
--- /dev/null
+++ b/_static/locales/sk/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: sk\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Tlač do PDF"
+
+msgid "Theme by the"
+msgstr "Téma od"
+
+msgid "Download source file"
+msgstr "Stiahnite si zdrojový súbor"
+
+msgid "open issue"
+msgstr "otvorené vydanie"
+
+msgid "Contents"
+msgstr "Obsah"
+
+msgid "previous page"
+msgstr "predchádzajúca strana"
+
+msgid "Download notebook file"
+msgstr "Stiahnite si zošit"
+
+msgid "Copyright"
+msgstr "Autorské práva"
+
+msgid "Download this page"
+msgstr "Stiahnite si túto stránku"
+
+msgid "Source repository"
+msgstr "Zdrojové úložisko"
+
+msgid "By"
+msgstr "Autor:"
+
+msgid "repository"
+msgstr "Úložisko"
+
+msgid "Last updated on"
+msgstr "Posledná aktualizácia dňa"
+
+msgid "Toggle navigation"
+msgstr "Prepnúť navigáciu"
+
+msgid "Sphinx Book Theme"
+msgstr "Téma knihy Sfinga"
+
+msgid "suggest edit"
+msgstr "navrhnúť úpravu"
+
+msgid "Open an issue"
+msgstr "Otvorte problém"
+
+msgid "Launch"
+msgstr "Spustiť"
+
+msgid "Fullscreen mode"
+msgstr "Režim celej obrazovky"
+
+msgid "Edit this page"
+msgstr "Upraviť túto stránku"
+
+msgid "By the"
+msgstr "Podľa"
+
+msgid "next page"
+msgstr "ďalšia strana"
diff --git a/_static/locales/sl/LC_MESSAGES/booktheme.mo b/_static/locales/sl/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..87bf26de683cb18c73bd23c2b4c57ef6a02545ec
GIT binary patch
literal 1374
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L??Y>WljW5^x#&@4

literal 0
HcmV?d00001

diff --git a/_static/locales/sl/LC_MESSAGES/booktheme.po b/_static/locales/sl/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..3c7e3a866
--- /dev/null
+++ b/_static/locales/sl/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: sl\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Natisni v PDF"
+
+msgid "Theme by the"
+msgstr "Tema avtorja"
+
+msgid "Download source file"
+msgstr "Prenesite izvorno datoteko"
+
+msgid "open issue"
+msgstr "odprto vprašanje"
+
+msgid "Contents"
+msgstr "Vsebina"
+
+msgid "previous page"
+msgstr "Prejšnja stran"
+
+msgid "Download notebook file"
+msgstr "Prenesite datoteko zvezka"
+
+msgid "Copyright"
+msgstr "avtorske pravice"
+
+msgid "Download this page"
+msgstr "Prenesite to stran"
+
+msgid "Source repository"
+msgstr "Izvorno skladišče"
+
+msgid "By"
+msgstr "Avtor"
+
+msgid "repository"
+msgstr "odlagališče"
+
+msgid "Last updated on"
+msgstr "Nazadnje posodobljeno dne"
+
+msgid "Toggle navigation"
+msgstr "Preklopi navigacijo"
+
+msgid "Sphinx Book Theme"
+msgstr "Tema knjige Sphinx"
+
+msgid "suggest edit"
+msgstr "predlagajte urejanje"
+
+msgid "Open an issue"
+msgstr "Odprite številko"
+
+msgid "Launch"
+msgstr "Kosilo"
+
+msgid "Fullscreen mode"
+msgstr "Celozaslonski način"
+
+msgid "Edit this page"
+msgstr "Uredite to stran"
+
+msgid "By the"
+msgstr "Avtor"
+
+msgid "next page"
+msgstr "Naslednja stran"
diff --git a/_static/locales/sr/LC_MESSAGES/booktheme.mo b/_static/locales/sr/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..ec740f4852f3973fa72ed0c7f7cf59273b8dba41
GIT binary patch
literal 1679
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HD*E*gL}ZXP

literal 0
HcmV?d00001

diff --git a/_static/locales/sr/LC_MESSAGES/booktheme.po b/_static/locales/sr/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..773b8adae
--- /dev/null
+++ b/_static/locales/sr/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: sr\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Испис у ПДФ"
+
+msgid "Theme by the"
+msgstr "Тхеме би"
+
+msgid "Download source file"
+msgstr "Преузми изворну датотеку"
+
+msgid "open issue"
+msgstr "отворено издање"
+
+msgid "Contents"
+msgstr "Садржај"
+
+msgid "previous page"
+msgstr "Претходна страница"
+
+msgid "Download notebook file"
+msgstr "Преузмите датотеку бележнице"
+
+msgid "Copyright"
+msgstr "Ауторско право"
+
+msgid "Download this page"
+msgstr "Преузмите ову страницу"
+
+msgid "Source repository"
+msgstr "Изворно спремиште"
+
+msgid "By"
+msgstr "Од стране"
+
+msgid "repository"
+msgstr "спремиште"
+
+msgid "Last updated on"
+msgstr "Последње ажурирање"
+
+msgid "Toggle navigation"
+msgstr "Укључи / искључи навигацију"
+
+msgid "Sphinx Book Theme"
+msgstr "Тема књиге Спхинк"
+
+msgid "suggest edit"
+msgstr "предложи уређивање"
+
+msgid "Open an issue"
+msgstr "Отворите издање"
+
+msgid "Launch"
+msgstr "Лансирање"
+
+msgid "Fullscreen mode"
+msgstr "Режим целог екрана"
+
+msgid "Edit this page"
+msgstr "Уредите ову страницу"
+
+msgid "By the"
+msgstr "Од"
+
+msgid "next page"
+msgstr "Следећа страна"
diff --git a/_static/locales/sv/LC_MESSAGES/booktheme.mo b/_static/locales/sv/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..b07dc76ff21128244172d2e415cc899555d8b49d
GIT binary patch
literal 1365
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EA0pCHFaQ7m

literal 0
HcmV?d00001

diff --git a/_static/locales/sv/LC_MESSAGES/booktheme.po b/_static/locales/sv/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..bcac54c07
--- /dev/null
+++ b/_static/locales/sv/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: sv\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Skriv ut till PDF"
+
+msgid "Theme by the"
+msgstr "Tema av"
+
+msgid "Download source file"
+msgstr "Ladda ner källfil"
+
+msgid "open issue"
+msgstr "öppna problemrapport"
+
+msgid "Contents"
+msgstr "Innehåll"
+
+msgid "previous page"
+msgstr "föregående sida"
+
+msgid "Download notebook file"
+msgstr "Ladda ner notebook-fil"
+
+msgid "Copyright"
+msgstr "Upphovsrätt"
+
+msgid "Download this page"
+msgstr "Ladda ner den här sidan"
+
+msgid "Source repository"
+msgstr "Källkodsrepositorium"
+
+msgid "By"
+msgstr "Av"
+
+msgid "repository"
+msgstr "repositorium"
+
+msgid "Last updated on"
+msgstr "Senast uppdaterad den"
+
+msgid "Toggle navigation"
+msgstr "Växla navigering"
+
+msgid "Sphinx Book Theme"
+msgstr "Sphinx Boktema"
+
+msgid "suggest edit"
+msgstr "föreslå ändring"
+
+msgid "Open an issue"
+msgstr "Öppna en problemrapport"
+
+msgid "Launch"
+msgstr "Öppna"
+
+msgid "Fullscreen mode"
+msgstr "Fullskärmsläge"
+
+msgid "Edit this page"
+msgstr "Redigera den här sidan"
+
+msgid "By the"
+msgstr "Av den"
+
+msgid "next page"
+msgstr "nästa sida"
diff --git a/_static/locales/ta/LC_MESSAGES/booktheme.mo b/_static/locales/ta/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..29f52e1f6f1ec96aceb0f883d8ccc82c23eb35c2
GIT binary patch
literal 1928
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zt8&XvWPPzJFL<kq-h<~_Rc`tnOwVDlUTu6>mFFj3kC<zTE-xCtb79VlCMH_Qf61E$
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z<IeTD{wn{o3E`3Xu9rO-Q3}Un-3tg^D65i=U-H6uN&_h}6jmP@9!PGwSJx8GmcH>l
w$ZZQ&WaeX;?9mtGBq&}escqTfGyJc(*W8(47(T)#0?{xcP9tpFr||Or2L57y?*IS*

literal 0
HcmV?d00001

diff --git a/_static/locales/ta/LC_MESSAGES/booktheme.po b/_static/locales/ta/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..b48bdfaf1
--- /dev/null
+++ b/_static/locales/ta/LC_MESSAGES/booktheme.po
@@ -0,0 +1,66 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: ta\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "PDF இல் அச்சிடுக"
+
+msgid "Theme by the"
+msgstr "வழங்கிய தீம்"
+
+msgid "Download source file"
+msgstr "மூல கோப்பைப் பதிவிறக்குக"
+
+msgid "open issue"
+msgstr "திறந்த பிரச்சினை"
+
+msgid "previous page"
+msgstr "முந்தைய பக்கம்"
+
+msgid "Download notebook file"
+msgstr "நோட்புக் கோப்பைப் பதிவிறக்கவும்"
+
+msgid "Copyright"
+msgstr "பதிப்புரிமை"
+
+msgid "Download this page"
+msgstr "இந்தப் பக்கத்தைப் பதிவிறக்கவும்"
+
+msgid "Source repository"
+msgstr "மூல களஞ்சியம்"
+
+msgid "By"
+msgstr "வழங்கியவர்"
+
+msgid "Last updated on"
+msgstr "கடைசியாக புதுப்பிக்கப்பட்டது"
+
+msgid "Toggle navigation"
+msgstr "வழிசெலுத்தலை நிலைமாற்று"
+
+msgid "Sphinx Book Theme"
+msgstr "ஸ்பிங்க்ஸ் புத்தக தீம்"
+
+msgid "suggest edit"
+msgstr "திருத்த பரிந்துரைக்கவும்"
+
+msgid "Open an issue"
+msgstr "சிக்கலைத் திறக்கவும்"
+
+msgid "Launch"
+msgstr "தொடங்க"
+
+msgid "Edit this page"
+msgstr "இந்தப் பக்கத்தைத் திருத்தவும்"
+
+msgid "By the"
+msgstr "மூலம்"
+
+msgid "next page"
+msgstr "அடுத்த பக்கம்"
diff --git a/_static/locales/te/LC_MESSAGES/booktheme.mo b/_static/locales/te/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..0a5f4b46adfda1551ae6791c3c3782525b61be04
GIT binary patch
literal 1806
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literal 0
HcmV?d00001

diff --git a/_static/locales/te/LC_MESSAGES/booktheme.po b/_static/locales/te/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..952278f5f
--- /dev/null
+++ b/_static/locales/te/LC_MESSAGES/booktheme.po
@@ -0,0 +1,66 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: te\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "PDF కి ముద్రించండి"
+
+msgid "Theme by the"
+msgstr "ద్వారా థీమ్"
+
+msgid "Download source file"
+msgstr "మూల ఫైల్‌ను డౌన్‌లోడ్ చేయండి"
+
+msgid "open issue"
+msgstr "ఓపెన్ ఇష్యూ"
+
+msgid "previous page"
+msgstr "ముందు పేజి"
+
+msgid "Download notebook file"
+msgstr "నోట్బుక్ ఫైల్ను డౌన్లోడ్ చేయండి"
+
+msgid "Copyright"
+msgstr "కాపీరైట్"
+
+msgid "Download this page"
+msgstr "ఈ పేజీని డౌన్‌లోడ్ చేయండి"
+
+msgid "Source repository"
+msgstr "మూల రిపోజిటరీ"
+
+msgid "By"
+msgstr "ద్వారా"
+
+msgid "Last updated on"
+msgstr "చివరిగా నవీకరించబడింది"
+
+msgid "Toggle navigation"
+msgstr "నావిగేషన్‌ను టోగుల్ చేయండి"
+
+msgid "Sphinx Book Theme"
+msgstr "సింహిక పుస్తక థీమ్"
+
+msgid "suggest edit"
+msgstr "సవరించమని సూచించండి"
+
+msgid "Open an issue"
+msgstr "సమస్యను తెరవండి"
+
+msgid "Launch"
+msgstr "ప్రారంభించండి"
+
+msgid "Edit this page"
+msgstr "ఈ పేజీని సవరించండి"
+
+msgid "By the"
+msgstr "ద్వారా"
+
+msgid "next page"
+msgstr "తరువాతి పేజీ"
diff --git a/_static/locales/tg/LC_MESSAGES/booktheme.mo b/_static/locales/tg/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..b21c6c6340194fdf35f7e5660deb42479c8dbff9
GIT binary patch
literal 1628
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literal 0
HcmV?d00001

diff --git a/_static/locales/tg/LC_MESSAGES/booktheme.po b/_static/locales/tg/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..c33dc4217
--- /dev/null
+++ b/_static/locales/tg/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: tg\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Чоп ба PDF"
+
+msgid "Theme by the"
+msgstr "Мавзӯъи аз"
+
+msgid "Download source file"
+msgstr "Файли манбаъро зеркашӣ кунед"
+
+msgid "open issue"
+msgstr "барориши кушод"
+
+msgid "Contents"
+msgstr "Мундариҷа"
+
+msgid "previous page"
+msgstr "саҳифаи қаблӣ"
+
+msgid "Download notebook file"
+msgstr "Файли дафтарро зеркашӣ кунед"
+
+msgid "Copyright"
+msgstr "Ҳуқуқи муаллиф"
+
+msgid "Download this page"
+msgstr "Ин саҳифаро зеркашӣ кунед"
+
+msgid "Source repository"
+msgstr "Анбори манбаъ"
+
+msgid "By"
+msgstr "Бо"
+
+msgid "repository"
+msgstr "анбор"
+
+msgid "Last updated on"
+msgstr "Last навсозӣ дар"
+
+msgid "Toggle navigation"
+msgstr "Гузаришро иваз кунед"
+
+msgid "Sphinx Book Theme"
+msgstr "Сфинкс Мавзӯи китоб"
+
+msgid "suggest edit"
+msgstr "пешниҳод вироиш"
+
+msgid "Open an issue"
+msgstr "Масъаларо кушоед"
+
+msgid "Launch"
+msgstr "Оғоз"
+
+msgid "Fullscreen mode"
+msgstr "Ҳолати экрани пурра"
+
+msgid "Edit this page"
+msgstr "Ин саҳифаро таҳрир кунед"
+
+msgid "By the"
+msgstr "Бо"
+
+msgid "next page"
+msgstr "саҳифаи оянда"
diff --git a/_static/locales/th/LC_MESSAGES/booktheme.mo b/_static/locales/th/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..abede98aa11b163e580a26b545980ace31e61ccf
GIT binary patch
literal 1766
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zVo#A&Zbczg{j*X10nt=)GI&y-i8VB>&j$Yu0#;+cXcn64J%wUT=~$4O>SO5=h=^<P
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literal 0
HcmV?d00001

diff --git a/_static/locales/th/LC_MESSAGES/booktheme.po b/_static/locales/th/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..9d24294a7
--- /dev/null
+++ b/_static/locales/th/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: th\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "พิมพ์เป็น PDF"
+
+msgid "Theme by the"
+msgstr "ธีมโดย"
+
+msgid "Download source file"
+msgstr "ดาวน์โหลดไฟล์ต้นฉบับ"
+
+msgid "open issue"
+msgstr "เปิดปัญหา"
+
+msgid "Contents"
+msgstr "สารบัญ"
+
+msgid "previous page"
+msgstr "หน้าที่แล้ว"
+
+msgid "Download notebook file"
+msgstr "ดาวน์โหลดไฟล์สมุดบันทึก"
+
+msgid "Copyright"
+msgstr "ลิขสิทธิ์"
+
+msgid "Download this page"
+msgstr "ดาวน์โหลดหน้านี้"
+
+msgid "Source repository"
+msgstr "ที่เก็บซอร์ส"
+
+msgid "By"
+msgstr "โดย"
+
+msgid "repository"
+msgstr "ที่เก็บ"
+
+msgid "Last updated on"
+msgstr "ปรับปรุงล่าสุดเมื่อ"
+
+msgid "Toggle navigation"
+msgstr "ไม่ต้องสลับช่องทาง"
+
+msgid "Sphinx Book Theme"
+msgstr "ธีมหนังสือสฟิงซ์"
+
+msgid "suggest edit"
+msgstr "แนะนำแก้ไข"
+
+msgid "Open an issue"
+msgstr "เปิดปัญหา"
+
+msgid "Launch"
+msgstr "เปิด"
+
+msgid "Fullscreen mode"
+msgstr "โหมดเต็มหน้าจอ"
+
+msgid "Edit this page"
+msgstr "แก้ไขหน้านี้"
+
+msgid "By the"
+msgstr "โดย"
+
+msgid "next page"
+msgstr "หน้าต่อไป"
diff --git a/_static/locales/tl/LC_MESSAGES/booktheme.mo b/_static/locales/tl/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..8df1b73310e0c606251d1abff7e6033d1f6b273f
GIT binary patch
literal 1273
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literal 0
HcmV?d00001

diff --git a/_static/locales/tl/LC_MESSAGES/booktheme.po b/_static/locales/tl/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..20e0d07ce
--- /dev/null
+++ b/_static/locales/tl/LC_MESSAGES/booktheme.po
@@ -0,0 +1,66 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: tl\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "I-print sa PDF"
+
+msgid "Theme by the"
+msgstr "Tema ng"
+
+msgid "Download source file"
+msgstr "Mag-download ng file ng pinagmulan"
+
+msgid "open issue"
+msgstr "bukas na isyu"
+
+msgid "previous page"
+msgstr "Nakaraang pahina"
+
+msgid "Download notebook file"
+msgstr "Mag-download ng file ng notebook"
+
+msgid "Copyright"
+msgstr "Copyright"
+
+msgid "Download this page"
+msgstr "I-download ang pahinang ito"
+
+msgid "Source repository"
+msgstr "Pinagmulan ng imbakan"
+
+msgid "By"
+msgstr "Ni"
+
+msgid "Last updated on"
+msgstr "Huling na-update noong"
+
+msgid "Toggle navigation"
+msgstr "I-toggle ang pag-navigate"
+
+msgid "Sphinx Book Theme"
+msgstr "Tema ng Sphinx Book"
+
+msgid "suggest edit"
+msgstr "iminumungkahi i-edit"
+
+msgid "Open an issue"
+msgstr "Magbukas ng isyu"
+
+msgid "Launch"
+msgstr "Ilunsad"
+
+msgid "Edit this page"
+msgstr "I-edit ang pahinang ito"
+
+msgid "By the"
+msgstr "Sa pamamagitan ng"
+
+msgid "next page"
+msgstr "Susunod na pahina"
diff --git a/_static/locales/tr/LC_MESSAGES/booktheme.mo b/_static/locales/tr/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..029ae18afb5360a8c238a052e8d3971761759d3d
GIT binary patch
literal 1373
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literal 0
HcmV?d00001

diff --git a/_static/locales/tr/LC_MESSAGES/booktheme.po b/_static/locales/tr/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..a77eb0273
--- /dev/null
+++ b/_static/locales/tr/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: tr\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "PDF olarak yazdır"
+
+msgid "Theme by the"
+msgstr "Tarafından tema"
+
+msgid "Download source file"
+msgstr "Kaynak dosyayı indirin"
+
+msgid "open issue"
+msgstr "Açık konu"
+
+msgid "Contents"
+msgstr "İçindekiler"
+
+msgid "previous page"
+msgstr "önceki sayfa"
+
+msgid "Download notebook file"
+msgstr "Defter dosyasını indirin"
+
+msgid "Copyright"
+msgstr "Telif hakkı"
+
+msgid "Download this page"
+msgstr "Bu sayfayı indirin"
+
+msgid "Source repository"
+msgstr "Kaynak kod deposu"
+
+msgid "By"
+msgstr "Tarafından"
+
+msgid "repository"
+msgstr "depo"
+
+msgid "Last updated on"
+msgstr "Son güncelleme tarihi"
+
+msgid "Toggle navigation"
+msgstr "Gezinmeyi değiştir"
+
+msgid "Sphinx Book Theme"
+msgstr "Sfenks Kitap Teması"
+
+msgid "suggest edit"
+msgstr "düzenleme öner"
+
+msgid "Open an issue"
+msgstr "Bir sorunu açın"
+
+msgid "Launch"
+msgstr "Başlatmak"
+
+msgid "Fullscreen mode"
+msgstr "Tam ekran modu"
+
+msgid "Edit this page"
+msgstr "Bu sayfayı düzenle"
+
+msgid "By the"
+msgstr "Tarafından"
+
+msgid "next page"
+msgstr "sonraki Sayfa"
diff --git a/_static/locales/uk/LC_MESSAGES/booktheme.mo b/_static/locales/uk/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..16ab78909cfbaba7fa199f47fdfc2934426ac699
GIT binary patch
literal 1681
zcmZvaO>7%Q6vv0QKx#^WmXAw-X;52=<n%)vDo4JQCQ_wVL}|)>V^7yhotb5Kwlue-
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zf%O{p5cY4_Z(`qj3J<J-147^@4&(6*cmx~(kAa85A@Ei3B=|B|29JW1;2@~L7eJeH
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zJRRRqQE^OHOf}GcNnV%^Y~hNh{RFy}WOB1GQBNYTUK}^kOk9#WOpkH-{HV-c%WrFW
zye!Y19xVv^j9TsvZMiu?-_n+#FKN@Qx_Nh}?-P#qs7q~0+is4U)XE(BrAa+pZ_+xR
zZRr;9`hYeh-KP!O!kr#M<2%RQ<4zrzI}#B(?yg&<pWxY{2meKQ;zAaG(Je_Xjtj=E
z9(7$q(09~EfF`ZE2A7mZcK`2+9^rzjaHX3z)7!~B2h%!=*c9|lnghL|yA=s%zR*HT
z?bNhf%F5ez4L46+L7%4`a6I&oR?3Y*t^E56s%=nLx&}9h+G&%^bgSuKmsXIs4P%={
z<NofZ={oLHR_+Jb;Vx4(JG2JbhUt5^koP}7+~?BbLU@u{xGrtDCHKjW*gc*BJl2qW
z5mR0g^fg|gC#u^<Yt4P)a{4r6s#Q8N%xG_Ktmt;04^wo@PsZ5OQCrZ@sDuAWd=c9A
LPmM*`H%jps*u#;t

literal 0
HcmV?d00001

diff --git a/_static/locales/uk/LC_MESSAGES/booktheme.po b/_static/locales/uk/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..993dd0781
--- /dev/null
+++ b/_static/locales/uk/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: uk\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "Друк у форматі PDF"
+
+msgid "Theme by the"
+msgstr "Тема від"
+
+msgid "Download source file"
+msgstr "Завантажити вихідний файл"
+
+msgid "open issue"
+msgstr "відкритий випуск"
+
+msgid "Contents"
+msgstr "Зміст"
+
+msgid "previous page"
+msgstr "Попередня сторінка"
+
+msgid "Download notebook file"
+msgstr "Завантажте файл блокнота"
+
+msgid "Copyright"
+msgstr "Авторське право"
+
+msgid "Download this page"
+msgstr "Завантажте цю сторінку"
+
+msgid "Source repository"
+msgstr "Джерело сховища"
+
+msgid "By"
+msgstr "Автор"
+
+msgid "repository"
+msgstr "сховище"
+
+msgid "Last updated on"
+msgstr "Останнє оновлення:"
+
+msgid "Toggle navigation"
+msgstr "Переключити навігацію"
+
+msgid "Sphinx Book Theme"
+msgstr "Тема книги \"Сфінкс\""
+
+msgid "suggest edit"
+msgstr "запропонувати редагувати"
+
+msgid "Open an issue"
+msgstr "Відкрийте випуск"
+
+msgid "Launch"
+msgstr "Запуск"
+
+msgid "Fullscreen mode"
+msgstr "Повноекранний режим"
+
+msgid "Edit this page"
+msgstr "Редагувати цю сторінку"
+
+msgid "By the"
+msgstr "По"
+
+msgid "next page"
+msgstr "Наступна сторінка"
diff --git a/_static/locales/ur/LC_MESSAGES/booktheme.mo b/_static/locales/ur/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..de8c84b935ed5c3db23e304015d45b638a3d2db3
GIT binary patch
literal 1462
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z@uTBCHyGACc;3gei{}G8S6;vi>pu7*_yBwvd<eb@w!uE|FOYJdfXBgJ1iuNM0*`@b
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zx|p)Aw=sGx%}Vw#el49X^(ARiaRizwH+vA!fH?=_BQ=JATO9Uo!rm6_g(Z9Fvrf~J
ziFzY}!KTjO`w9hS|3mkKY2Z8hBsWpwH*$FgF5fip{lMp#&N|*Vkp4MHrJJsNw1%8D
c^9?3>eEmE8GP@z_uy-`khW>?G>aA{%rxd0lq5uE@

literal 0
HcmV?d00001

diff --git a/_static/locales/ur/LC_MESSAGES/booktheme.po b/_static/locales/ur/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..2f774267f
--- /dev/null
+++ b/_static/locales/ur/LC_MESSAGES/booktheme.po
@@ -0,0 +1,66 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: ur\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "پی ڈی ایف پرنٹ کریں"
+
+msgid "Theme by the"
+msgstr "کے ذریعہ تھیم"
+
+msgid "Download source file"
+msgstr "سورس فائل ڈاؤن لوڈ کریں"
+
+msgid "open issue"
+msgstr "کھلا مسئلہ"
+
+msgid "previous page"
+msgstr "سابقہ ​​صفحہ"
+
+msgid "Download notebook file"
+msgstr "نوٹ بک فائل ڈاؤن لوڈ کریں"
+
+msgid "Copyright"
+msgstr "کاپی رائٹ"
+
+msgid "Download this page"
+msgstr "اس صفحے کو ڈاؤن لوڈ کریں"
+
+msgid "Source repository"
+msgstr "ماخذ ذخیرہ"
+
+msgid "By"
+msgstr "بذریعہ"
+
+msgid "Last updated on"
+msgstr "آخری بار تازہ کاری ہوئی"
+
+msgid "Toggle navigation"
+msgstr "نیویگیشن ٹوگل کریں"
+
+msgid "Sphinx Book Theme"
+msgstr "سپنکس بک تھیم"
+
+msgid "suggest edit"
+msgstr "ترمیم کی تجویز کریں"
+
+msgid "Open an issue"
+msgstr "ایک مسئلہ کھولیں"
+
+msgid "Launch"
+msgstr "لانچ کریں"
+
+msgid "Edit this page"
+msgstr "اس صفحے میں ترمیم کریں"
+
+msgid "By the"
+msgstr "کی طرف"
+
+msgid "next page"
+msgstr "اگلا صفحہ"
diff --git a/_static/locales/vi/LC_MESSAGES/booktheme.mo b/_static/locales/vi/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..2bb32555c3ea0dab08ed37b71cb863fbe75698c6
GIT binary patch
literal 1431
zcmZvb&x;&I6vr#s{2bR9catc(#OK8%htWiG2(!#(H#@MntBV<f*WRAmu1b2V+OFzx
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z3;qSN-ajCp`xj*0y?e@hC&AY-KMlSLE>x7&{%7EEtZ#xGrw?+zzkx4+4=O$aInLi8
z=P?fP6X0=>=PmFs_%X<J(IBjdHSjg?3dkkr9Jqd5%Sm+B;=D&2B!;m#4mZw=8|!eb
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zOwiR);59^yT=S(n%Q~e<lFF{OS!H`9yvw3U!lgteuwpOC(AVcX^@}ofh}NJ|zs~yg
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z?Eh#Y@qUqirKywQ5i8#s`XuWW`MMEp%rvcKMSjaf<cs`zLaxX+$Opau-GrMW|Khoe
za37HwZ1qH_iu{IA9A!Hozq2u`ivF+k`z=_(s~v3NgWy38elSYR7X9sn432Djii`do
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ze1pUH?uya95XS<na80h3K{qt+X_P1<b?<JGZ*p}M{3_8NrsOrUN%%ix#fTSncUzQM
Z`*e6S6ql71ocB7M!O~590wXmNPXTtKmQ4Tv

literal 0
HcmV?d00001

diff --git a/_static/locales/vi/LC_MESSAGES/booktheme.po b/_static/locales/vi/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..33159f3ef
--- /dev/null
+++ b/_static/locales/vi/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: vi\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "In sang PDF"
+
+msgid "Theme by the"
+msgstr "Chủ đề của"
+
+msgid "Download source file"
+msgstr "Tải xuống tệp nguồn"
+
+msgid "open issue"
+msgstr "vấn đề mở"
+
+msgid "Contents"
+msgstr "Nội dung"
+
+msgid "previous page"
+msgstr "trang trước"
+
+msgid "Download notebook file"
+msgstr "Tải xuống tệp sổ tay"
+
+msgid "Copyright"
+msgstr "Bản quyền"
+
+msgid "Download this page"
+msgstr "Tải xuống trang này"
+
+msgid "Source repository"
+msgstr "Kho nguồn"
+
+msgid "By"
+msgstr "Bởi"
+
+msgid "repository"
+msgstr "kho"
+
+msgid "Last updated on"
+msgstr "Cập nhật lần cuối vào"
+
+msgid "Toggle navigation"
+msgstr "Chuyển đổi điều hướng thành"
+
+msgid "Sphinx Book Theme"
+msgstr "Chủ đề sách nhân sư"
+
+msgid "suggest edit"
+msgstr "đề nghị chỉnh sửa"
+
+msgid "Open an issue"
+msgstr "Mở một vấn đề"
+
+msgid "Launch"
+msgstr "Phóng"
+
+msgid "Fullscreen mode"
+msgstr "Chế độ toàn màn hình"
+
+msgid "Edit this page"
+msgstr "chỉnh sửa trang này"
+
+msgid "By the"
+msgstr "Bằng"
+
+msgid "next page"
+msgstr "Trang tiếp theo"
diff --git a/_static/locales/zh_CN/LC_MESSAGES/booktheme.mo b/_static/locales/zh_CN/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..0e3235d090c2a05c0e278d38520f0437847dc79f
GIT binary patch
literal 1310
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zQ^;m;Gx8RY{OyX^7V!v3^?n6uod9Y7@6r5Kko@OC(isEk+)qHNR|2<z@1p<zfmHAR
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z{(wMR8u!Z%_T%9?BiJD&wUFAyhu!a3W=6Ba>Y~glBh97KqDQIoyw}Q#g=trLPD*??
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literal 0
HcmV?d00001

diff --git a/_static/locales/zh_CN/LC_MESSAGES/booktheme.po b/_static/locales/zh_CN/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..2e519ef45
--- /dev/null
+++ b/_static/locales/zh_CN/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: zh_CN\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "列印成 PDF"
+
+msgid "Theme by the"
+msgstr "主题作者："
+
+msgid "Download source file"
+msgstr "下载源文件"
+
+msgid "open issue"
+msgstr "创建议题"
+
+msgid "Contents"
+msgstr "目录"
+
+msgid "previous page"
+msgstr "上一页"
+
+msgid "Download notebook file"
+msgstr "下载笔记本文件"
+
+msgid "Copyright"
+msgstr "版权"
+
+msgid "Download this page"
+msgstr "下载此页面"
+
+msgid "Source repository"
+msgstr "源码库"
+
+msgid "By"
+msgstr "作者："
+
+msgid "repository"
+msgstr "仓库"
+
+msgid "Last updated on"
+msgstr "上次更新时间："
+
+msgid "Toggle navigation"
+msgstr "显示或隐藏导航栏"
+
+msgid "Sphinx Book Theme"
+msgstr "Sphinx Book 主题"
+
+msgid "suggest edit"
+msgstr "提出修改建议"
+
+msgid "Open an issue"
+msgstr "创建议题"
+
+msgid "Launch"
+msgstr "启动"
+
+msgid "Fullscreen mode"
+msgstr "全屏模式"
+
+msgid "Edit this page"
+msgstr "编辑此页面"
+
+msgid "By the"
+msgstr "作者："
+
+msgid "next page"
+msgstr "下一页"
diff --git a/_static/locales/zh_TW/LC_MESSAGES/booktheme.mo b/_static/locales/zh_TW/LC_MESSAGES/booktheme.mo
new file mode 100644
index 0000000000000000000000000000000000000000..9116fa95d0a752665e0f1d59857a32abfc0c6bce
GIT binary patch
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z%A7iV>U3{=|JVyJrINy?bHkp<a18-3damWj9-c2+ejs%AT&^#DynW8MWN=>i>0X&v
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literal 0
HcmV?d00001

diff --git a/_static/locales/zh_TW/LC_MESSAGES/booktheme.po b/_static/locales/zh_TW/LC_MESSAGES/booktheme.po
new file mode 100644
index 000000000..beecb076b
--- /dev/null
+++ b/_static/locales/zh_TW/LC_MESSAGES/booktheme.po
@@ -0,0 +1,75 @@
+
+msgid ""
+msgstr ""
+"Project-Id-Version: Sphinx-Book-Theme\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Language: zh_TW\n"
+"Plural-Forms: nplurals=2; plural=(n != 1);\n"
+
+msgid "Print to PDF"
+msgstr "列印成 PDF"
+
+msgid "Theme by the"
+msgstr "佈景主題作者："
+
+msgid "Download source file"
+msgstr "下載原始檔"
+
+msgid "open issue"
+msgstr "公開的問題"
+
+msgid "Contents"
+msgstr "目錄"
+
+msgid "previous page"
+msgstr "上一頁"
+
+msgid "Download notebook file"
+msgstr "下載 Notebook 檔案"
+
+msgid "Copyright"
+msgstr "Copyright"
+
+msgid "Download this page"
+msgstr "下載此頁面"
+
+msgid "Source repository"
+msgstr "來源儲存庫"
+
+msgid "By"
+msgstr "作者："
+
+msgid "repository"
+msgstr "儲存庫"
+
+msgid "Last updated on"
+msgstr "最後更新時間："
+
+msgid "Toggle navigation"
+msgstr "顯示或隱藏導覽列"
+
+msgid "Sphinx Book Theme"
+msgstr "Sphinx Book 佈景主題"
+
+msgid "suggest edit"
+msgstr "提出修改建議"
+
+msgid "Open an issue"
+msgstr "開啟議題"
+
+msgid "Launch"
+msgstr "啟動"
+
+msgid "Fullscreen mode"
+msgstr "全螢幕模式"
+
+msgid "Edit this page"
+msgstr "編輯此頁面"
+
+msgid "By the"
+msgstr "作者："
+
+msgid "next page"
+msgstr "下一頁"
diff --git a/_static/minus.png b/_static/minus.png
new file mode 100644
index 0000000000000000000000000000000000000000..d96755fdaf8bb2214971e0db9c1fd3077d7c419d
GIT binary patch
literal 90
zcmeAS@N?(olHy`uVBq!ia0vp^+#t*WBp7;*Yy1LIik>cxAr*|t7R?Mi>2?kWtu=nj
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literal 0
HcmV?d00001

diff --git a/_static/plus.png b/_static/plus.png
new file mode 100644
index 0000000000000000000000000000000000000000..7107cec93a979b9a5f64843235a16651d563ce2d
GIT binary patch
literal 90
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literal 0
HcmV?d00001

diff --git a/_static/pygments.css b/_static/pygments.css
new file mode 100644
index 000000000..012e6a00a
--- /dev/null
+++ b/_static/pygments.css
@@ -0,0 +1,152 @@
+html[data-theme="light"] .highlight pre { line-height: 125%; }
+html[data-theme="light"] .highlight td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+html[data-theme="light"] .highlight span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+html[data-theme="light"] .highlight td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+html[data-theme="light"] .highlight span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+html[data-theme="light"] .highlight .hll { background-color: #fae4c2 }
+html[data-theme="light"] .highlight { background: #fefefe; color: #080808 }
+html[data-theme="light"] .highlight .c { color: #515151 } /* Comment */
+html[data-theme="light"] .highlight .err { color: #a12236 } /* Error */
+html[data-theme="light"] .highlight .k { color: #6730c5 } /* Keyword */
+html[data-theme="light"] .highlight .l { color: #7f4707 } /* Literal */
+html[data-theme="light"] .highlight .n { color: #080808 } /* Name */
+html[data-theme="light"] .highlight .o { color: #00622f } /* Operator */
+html[data-theme="light"] .highlight .p { color: #080808 } /* Punctuation */
+html[data-theme="light"] .highlight .ch { color: #515151 } /* Comment.Hashbang */
+html[data-theme="light"] .highlight .cm { color: #515151 } /* Comment.Multiline */
+html[data-theme="light"] .highlight .cp { color: #515151 } /* Comment.Preproc */
+html[data-theme="light"] .highlight .cpf { color: #515151 } /* Comment.PreprocFile */
+html[data-theme="light"] .highlight .c1 { color: #515151 } /* Comment.Single */
+html[data-theme="light"] .highlight .cs { color: #515151 } /* Comment.Special */
+html[data-theme="light"] .highlight .gd { color: #005b82 } /* Generic.Deleted */
+html[data-theme="light"] .highlight .ge { font-style: italic } /* Generic.Emph */
+html[data-theme="light"] .highlight .gh { color: #005b82 } /* Generic.Heading */
+html[data-theme="light"] .highlight .gs { font-weight: bold } /* Generic.Strong */
+html[data-theme="light"] .highlight .gu { color: #005b82 } /* Generic.Subheading */
+html[data-theme="light"] .highlight .kc { color: #6730c5 } /* Keyword.Constant */
+html[data-theme="light"] .highlight .kd { color: #6730c5 } /* Keyword.Declaration */
+html[data-theme="light"] .highlight .kn { color: #6730c5 } /* Keyword.Namespace */
+html[data-theme="light"] .highlight .kp { color: #6730c5 } /* Keyword.Pseudo */
+html[data-theme="light"] .highlight .kr { color: #6730c5 } /* Keyword.Reserved */
+html[data-theme="light"] .highlight .kt { color: #7f4707 } /* Keyword.Type */
+html[data-theme="light"] .highlight .ld { color: #7f4707 } /* Literal.Date */
+html[data-theme="light"] .highlight .m { color: #7f4707 } /* Literal.Number */
+html[data-theme="light"] .highlight .s { color: #00622f } /* Literal.String */
+html[data-theme="light"] .highlight .na { color: #912583 } /* Name.Attribute */
+html[data-theme="light"] .highlight .nb { color: #7f4707 } /* Name.Builtin */
+html[data-theme="light"] .highlight .nc { color: #005b82 } /* Name.Class */
+html[data-theme="light"] .highlight .no { color: #005b82 } /* Name.Constant */
+html[data-theme="light"] .highlight .nd { color: #7f4707 } /* Name.Decorator */
+html[data-theme="light"] .highlight .ni { color: #00622f } /* Name.Entity */
+html[data-theme="light"] .highlight .ne { color: #6730c5 } /* Name.Exception */
+html[data-theme="light"] .highlight .nf { color: #005b82 } /* Name.Function */
+html[data-theme="light"] .highlight .nl { color: #7f4707 } /* Name.Label */
+html[data-theme="light"] .highlight .nn { color: #080808 } /* Name.Namespace */
+html[data-theme="light"] .highlight .nx { color: #080808 } /* Name.Other */
+html[data-theme="light"] .highlight .py { color: #005b82 } /* Name.Property */
+html[data-theme="light"] .highlight .nt { color: #005b82 } /* Name.Tag */
+html[data-theme="light"] .highlight .nv { color: #a12236 } /* Name.Variable */
+html[data-theme="light"] .highlight .ow { color: #6730c5 } /* Operator.Word */
+html[data-theme="light"] .highlight .pm { color: #080808 } /* Punctuation.Marker */
+html[data-theme="light"] .highlight .w { color: #080808 } /* Text.Whitespace */
+html[data-theme="light"] .highlight .mb { color: #7f4707 } /* Literal.Number.Bin */
+html[data-theme="light"] .highlight .mf { color: #7f4707 } /* Literal.Number.Float */
+html[data-theme="light"] .highlight .mh { color: #7f4707 } /* Literal.Number.Hex */
+html[data-theme="light"] .highlight .mi { color: #7f4707 } /* Literal.Number.Integer */
+html[data-theme="light"] .highlight .mo { color: #7f4707 } /* Literal.Number.Oct */
+html[data-theme="light"] .highlight .sa { color: #00622f } /* Literal.String.Affix */
+html[data-theme="light"] .highlight .sb { color: #00622f } /* Literal.String.Backtick */
+html[data-theme="light"] .highlight .sc { color: #00622f } /* Literal.String.Char */
+html[data-theme="light"] .highlight .dl { color: #00622f } /* Literal.String.Delimiter */
+html[data-theme="light"] .highlight .sd { color: #00622f } /* Literal.String.Doc */
+html[data-theme="light"] .highlight .s2 { color: #00622f } /* Literal.String.Double */
+html[data-theme="light"] .highlight .se { color: #00622f } /* Literal.String.Escape */
+html[data-theme="light"] .highlight .sh { color: #00622f } /* Literal.String.Heredoc */
+html[data-theme="light"] .highlight .si { color: #00622f } /* Literal.String.Interpol */
+html[data-theme="light"] .highlight .sx { color: #00622f } /* Literal.String.Other */
+html[data-theme="light"] .highlight .sr { color: #a12236 } /* Literal.String.Regex */
+html[data-theme="light"] .highlight .s1 { color: #00622f } /* Literal.String.Single */
+html[data-theme="light"] .highlight .ss { color: #005b82 } /* Literal.String.Symbol */
+html[data-theme="light"] .highlight .bp { color: #7f4707 } /* Name.Builtin.Pseudo */
+html[data-theme="light"] .highlight .fm { color: #005b82 } /* Name.Function.Magic */
+html[data-theme="light"] .highlight .vc { color: #a12236 } /* Name.Variable.Class */
+html[data-theme="light"] .highlight .vg { color: #a12236 } /* Name.Variable.Global */
+html[data-theme="light"] .highlight .vi { color: #a12236 } /* Name.Variable.Instance */
+html[data-theme="light"] .highlight .vm { color: #7f4707 } /* Name.Variable.Magic */
+html[data-theme="light"] .highlight .il { color: #7f4707 } /* Literal.Number.Integer.Long */
+html[data-theme="dark"] .highlight pre { line-height: 125%; }
+html[data-theme="dark"] .highlight td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+html[data-theme="dark"] .highlight span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+html[data-theme="dark"] .highlight td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+html[data-theme="dark"] .highlight span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+html[data-theme="dark"] .highlight .hll { background-color: #ffd9002e }
+html[data-theme="dark"] .highlight { background: #2b2b2b; color: #f8f8f2 }
+html[data-theme="dark"] .highlight .c { color: #ffd900 } /* Comment */
+html[data-theme="dark"] .highlight .err { color: #ffa07a } /* Error */
+html[data-theme="dark"] .highlight .k { color: #dcc6e0 } /* Keyword */
+html[data-theme="dark"] .highlight .l { color: #ffd900 } /* Literal */
+html[data-theme="dark"] .highlight .n { color: #f8f8f2 } /* Name */
+html[data-theme="dark"] .highlight .o { color: #abe338 } /* Operator */
+html[data-theme="dark"] .highlight .p { color: #f8f8f2 } /* Punctuation */
+html[data-theme="dark"] .highlight .ch { color: #ffd900 } /* Comment.Hashbang */
+html[data-theme="dark"] .highlight .cm { color: #ffd900 } /* Comment.Multiline */
+html[data-theme="dark"] .highlight .cp { color: #ffd900 } /* Comment.Preproc */
+html[data-theme="dark"] .highlight .cpf { color: #ffd900 } /* Comment.PreprocFile */
+html[data-theme="dark"] .highlight .c1 { color: #ffd900 } /* Comment.Single */
+html[data-theme="dark"] .highlight .cs { color: #ffd900 } /* Comment.Special */
+html[data-theme="dark"] .highlight .gd { color: #00e0e0 } /* Generic.Deleted */
+html[data-theme="dark"] .highlight .ge { font-style: italic } /* Generic.Emph */
+html[data-theme="dark"] .highlight .gh { color: #00e0e0 } /* Generic.Heading */
+html[data-theme="dark"] .highlight .gs { font-weight: bold } /* Generic.Strong */
+html[data-theme="dark"] .highlight .gu { color: #00e0e0 } /* Generic.Subheading */
+html[data-theme="dark"] .highlight .kc { color: #dcc6e0 } /* Keyword.Constant */
+html[data-theme="dark"] .highlight .kd { color: #dcc6e0 } /* Keyword.Declaration */
+html[data-theme="dark"] .highlight .kn { color: #dcc6e0 } /* Keyword.Namespace */
+html[data-theme="dark"] .highlight .kp { color: #dcc6e0 } /* Keyword.Pseudo */
+html[data-theme="dark"] .highlight .kr { color: #dcc6e0 } /* Keyword.Reserved */
+html[data-theme="dark"] .highlight .kt { color: #ffd900 } /* Keyword.Type */
+html[data-theme="dark"] .highlight .ld { color: #ffd900 } /* Literal.Date */
+html[data-theme="dark"] .highlight .m { color: #ffd900 } /* Literal.Number */
+html[data-theme="dark"] .highlight .s { color: #abe338 } /* Literal.String */
+html[data-theme="dark"] .highlight .na { color: #ffd900 } /* Name.Attribute */
+html[data-theme="dark"] .highlight .nb { color: #ffd900 } /* Name.Builtin */
+html[data-theme="dark"] .highlight .nc { color: #00e0e0 } /* Name.Class */
+html[data-theme="dark"] .highlight .no { color: #00e0e0 } /* Name.Constant */
+html[data-theme="dark"] .highlight .nd { color: #ffd900 } /* Name.Decorator */
+html[data-theme="dark"] .highlight .ni { color: #abe338 } /* Name.Entity */
+html[data-theme="dark"] .highlight .ne { color: #dcc6e0 } /* Name.Exception */
+html[data-theme="dark"] .highlight .nf { color: #00e0e0 } /* Name.Function */
+html[data-theme="dark"] .highlight .nl { color: #ffd900 } /* Name.Label */
+html[data-theme="dark"] .highlight .nn { color: #f8f8f2 } /* Name.Namespace */
+html[data-theme="dark"] .highlight .nx { color: #f8f8f2 } /* Name.Other */
+html[data-theme="dark"] .highlight .py { color: #00e0e0 } /* Name.Property */
+html[data-theme="dark"] .highlight .nt { color: #00e0e0 } /* Name.Tag */
+html[data-theme="dark"] .highlight .nv { color: #ffa07a } /* Name.Variable */
+html[data-theme="dark"] .highlight .ow { color: #dcc6e0 } /* Operator.Word */
+html[data-theme="dark"] .highlight .pm { color: #f8f8f2 } /* Punctuation.Marker */
+html[data-theme="dark"] .highlight .w { color: #f8f8f2 } /* Text.Whitespace */
+html[data-theme="dark"] .highlight .mb { color: #ffd900 } /* Literal.Number.Bin */
+html[data-theme="dark"] .highlight .mf { color: #ffd900 } /* Literal.Number.Float */
+html[data-theme="dark"] .highlight .mh { color: #ffd900 } /* Literal.Number.Hex */
+html[data-theme="dark"] .highlight .mi { color: #ffd900 } /* Literal.Number.Integer */
+html[data-theme="dark"] .highlight .mo { color: #ffd900 } /* Literal.Number.Oct */
+html[data-theme="dark"] .highlight .sa { color: #abe338 } /* Literal.String.Affix */
+html[data-theme="dark"] .highlight .sb { color: #abe338 } /* Literal.String.Backtick */
+html[data-theme="dark"] .highlight .sc { color: #abe338 } /* Literal.String.Char */
+html[data-theme="dark"] .highlight .dl { color: #abe338 } /* Literal.String.Delimiter */
+html[data-theme="dark"] .highlight .sd { color: #abe338 } /* Literal.String.Doc */
+html[data-theme="dark"] .highlight .s2 { color: #abe338 } /* Literal.String.Double */
+html[data-theme="dark"] .highlight .se { color: #abe338 } /* Literal.String.Escape */
+html[data-theme="dark"] .highlight .sh { color: #abe338 } /* Literal.String.Heredoc */
+html[data-theme="dark"] .highlight .si { color: #abe338 } /* Literal.String.Interpol */
+html[data-theme="dark"] .highlight .sx { color: #abe338 } /* Literal.String.Other */
+html[data-theme="dark"] .highlight .sr { color: #ffa07a } /* Literal.String.Regex */
+html[data-theme="dark"] .highlight .s1 { color: #abe338 } /* Literal.String.Single */
+html[data-theme="dark"] .highlight .ss { color: #00e0e0 } /* Literal.String.Symbol */
+html[data-theme="dark"] .highlight .bp { color: #ffd900 } /* Name.Builtin.Pseudo */
+html[data-theme="dark"] .highlight .fm { color: #00e0e0 } /* Name.Function.Magic */
+html[data-theme="dark"] .highlight .vc { color: #ffa07a } /* Name.Variable.Class */
+html[data-theme="dark"] .highlight .vg { color: #ffa07a } /* Name.Variable.Global */
+html[data-theme="dark"] .highlight .vi { color: #ffa07a } /* Name.Variable.Instance */
+html[data-theme="dark"] .highlight .vm { color: #ffd900 } /* Name.Variable.Magic */
+html[data-theme="dark"] .highlight .il { color: #ffd900 } /* Literal.Number.Integer.Long */
\ No newline at end of file
diff --git a/_static/sbt-webpack-macros.html b/_static/sbt-webpack-macros.html
new file mode 100644
index 000000000..6cbf559fa
--- /dev/null
+++ b/_static/sbt-webpack-macros.html
@@ -0,0 +1,11 @@
+<!--
+  All these macros are auto-generated and must **NOT** be edited by hand.
+  See the webpack.config.js file, to learn more about how this is generated.
+-->
+{% macro head_pre_bootstrap() %}
+  <link href="{{ pathto('_static/styles/sphinx-book-theme.css', 1) }}" rel="stylesheet">
+{% endmacro %}
+
+{% macro body_post() %}
+  <script src="{{ pathto('_static/scripts/sphinx-book-theme.js', 1) }}"></script>
+{% endmacro %}
diff --git a/_static/scripts/bootstrap.js b/_static/scripts/bootstrap.js
new file mode 100644
index 000000000..c8178debb
--- /dev/null
+++ b/_static/scripts/bootstrap.js
@@ -0,0 +1,3 @@
+/*! For license information please see bootstrap.js.LICENSE.txt */
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ve{constructor(t,e){super(t,e),this._interval=null,this._activeElement=null,this._isSliding=!1,this.touchTimeout=null,this._swipeHelper=null,this._indicatorsElement=we.findOne(".carousel-indicators",this._element),this._addEventListeners(),this._config.ride===ti&&this.cycle()}static get Default(){return ri}static get DefaultType(){return ai}static get NAME(){return"carousel"}next(){this._slide(ze)}nextWhenVisible(){!document.hidden&&Bt(this._element)&&this.next()}prev(){this._slide(Re)}pause(){this._isSliding&&jt(this._element),this._clearInterval()}cycle(){this._clearInterval(),this._updateInterval(),this._interval=setInterval((()=>this.nextWhenVisible()),this._config.interval)}_maybeEnableCycle(){this._config.ride&&(this._isSliding?fe.one(this._element,Ke,(()=>this.cycle())):this.cycle())}to(t){const e=this._getItems();if(t>e.length-1||t<0)return;if(this._isSliding)return void fe.one(this._element,Ke,(()=>this.to(t)));const 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je(this._element,t)}_keydown(t){if(/input|textarea/i.test(t.target.tagName))return;const e=oi[t.key];e&&(t.preventDefault(),this._slide(this._directionToOrder(e)))}_getItemIndex(t){return this._getItems().indexOf(t)}_setActiveIndicatorElement(t){if(!this._indicatorsElement)return;const e=we.findOne(ii,this._indicatorsElement);e.classList.remove(ei),e.removeAttribute("aria-current");const i=we.findOne(`[data-bs-slide-to="${t}"]`,this._indicatorsElement);i&&(i.classList.add(ei),i.setAttribute("aria-current","true"))}_updateInterval(){const t=this._activeElement||this._getActive();if(!t)return;const e=Number.parseInt(t.getAttribute("data-bs-interval"),10);this._config.interval=e||this._config.defaultInterval}_slide(t,e=null){if(this._isSliding)return;const i=this._getActive(),n=t===ze,s=e||Gt(this._getItems(),i,n,this._config.wrap);if(s===i)return;const o=this._getItemIndex(s),r=e=>fe.trigger(this._element,e,{relatedTarget:s,direction:this._orderToDirection(t),from:this._getItemIndex(i),to:o});if(r(Ye).defaultPrevented)return;if(!i||!s)return;const a=Boolean(this._interval);this.pause(),this._isSliding=!0,this._setActiveIndicatorElement(o),this._activeElement=s;const l=n?"carousel-item-start":"carousel-item-end",c=n?"carousel-item-next":"carousel-item-prev";s.classList.add(c),qt(s),i.classList.add(l),s.classList.add(l),this._queueCallback((()=>{s.classList.remove(l,c),s.classList.add(ei),i.classList.remove(ei,c,l),this._isSliding=!1,r(Ke)}),i,this._isAnimated()),a&&this.cycle()}_isAnimated(){return this._element.classList.contains("slide")}_getActive(){return we.findOne(si,this._element)}_getItems(){return we.find(ni,this._element)}_clearInterval(){this._interval&&(clearInterval(this._interval),this._interval=null)}_directionToOrder(t){return Kt()?t===qe?Re:ze:t===qe?ze:Re}_orderToDirection(t){return Kt()?t===Re?qe:Ve:t===Re?Ve:qe}static jQueryInterface(t){return this.each((function(){const e=li.getOrCreateInstance(this,t);if("number"!=typeof t){if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}else e.to(t)}))}}fe.on(document,Ze,"[data-bs-slide], [data-bs-slide-to]",(function(t){const e=we.getElementFromSelector(this);if(!e||!e.classList.contains(ti))return;t.preventDefault();const i=li.getOrCreateInstance(e),n=this.getAttribute("data-bs-slide-to");return n?(i.to(n),void i._maybeEnableCycle()):"next"===_e.getDataAttribute(this,"slide")?(i.next(),void i._maybeEnableCycle()):(i.prev(),void i._maybeEnableCycle())})),fe.on(window,Je,(()=>{const t=we.find('[data-bs-ride="carousel"]');for(const e of t)li.getOrCreateInstance(e)})),Qt(li);const ci=".bs.collapse",hi=`show${ci}`,di=`shown${ci}`,ui=`hide${ci}`,fi=`hidden${ci}`,pi=`click${ci}.data-api`,mi="show",gi="collapse",_i="collapsing",bi=`:scope .${gi} .${gi}`,vi='[data-bs-toggle="collapse"]',yi={parent:null,toggle:!0},wi={parent:"(null|element)",toggle:"boolean"};class Ei extends ve{constructor(t,e){super(t,e),this._isTransitioning=!1,this._triggerArray=[];const i=we.find(vi);for(const t of i){const e=we.getSelectorFromElement(t),i=we.find(e).filter((t=>t===this._element));null!==e&&i.length&&this._triggerArray.push(t)}this._initializeChildren(),this._config.parent||this._addAriaAndCollapsedClass(this._triggerArray,this._isShown()),this._config.toggle&&this.toggle()}static get Default(){return yi}static get DefaultType(){return wi}static get NAME(){return"collapse"}toggle(){this._isShown()?this.hide():this.show()}show(){if(this._isTransitioning||this._isShown())return;let t=[];if(this._config.parent&&(t=this._getFirstLevelChildren(".collapse.show, .collapse.collapsing").filter((t=>t!==this._element)).map((t=>Ei.getOrCreateInstance(t,{toggle:!1})))),t.length&&t[0]._isTransitioning)return;if(fe.trigger(this._element,hi).defaultPrevented)return;for(const e of t)e.hide();const e=this._getDimension();this._element.classList.remove(gi),this._element.classList.add(_i),this._element.style[e]=0,this._addAriaAndCollapsedClass(this._triggerArray,!0),this._isTransitioning=!0;const i=`scroll${e[0].toUpperCase()+e.slice(1)}`;this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(_i),this._element.classList.add(gi,mi),this._element.style[e]="",fe.trigger(this._element,di)}),this._element,!0),this._element.style[e]=`${this._element[i]}px`}hide(){if(this._isTransitioning||!this._isShown())return;if(fe.trigger(this._element,ui).defaultPrevented)return;const t=this._getDimension();this._element.style[t]=`${this._element.getBoundingClientRect()[t]}px`,qt(this._element),this._element.classList.add(_i),this._element.classList.remove(gi,mi);for(const t of this._triggerArray){const e=we.getElementFromSelector(t);e&&!this._isShown(e)&&this._addAriaAndCollapsedClass([t],!1)}this._isTransitioning=!0,this._element.style[t]="",this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(_i),this._element.classList.add(gi),fe.trigger(this._element,fi)}),this._element,!0)}_isShown(t=this._element){return t.classList.contains(mi)}_configAfterMerge(t){return t.toggle=Boolean(t.toggle),t.parent=Ht(t.parent),t}_getDimension(){return this._element.classList.contains("collapse-horizontal")?"width":"height"}_initializeChildren(){if(!this._config.parent)return;const t=this._getFirstLevelChildren(vi);for(const e of t){const t=we.getElementFromSelector(e);t&&this._addAriaAndCollapsedClass([e],this._isShown(t))}}_getFirstLevelChildren(t){const e=we.find(bi,this._config.parent);return we.find(t,this._config.parent).filter((t=>!e.includes(t)))}_addAriaAndCollapsedClass(t,e){if(t.length)for(const i of t)i.classList.toggle("collapsed",!e),i.setAttribute("aria-expanded",e)}static jQueryInterface(t){const e={};return"string"==typeof t&&/show|hide/.test(t)&&(e.toggle=!1),this.each((function(){const i=Ei.getOrCreateInstance(this,e);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t]()}}))}}fe.on(document,pi,vi,(function(t){("A"===t.target.tagName||t.delegateTarget&&"A"===t.delegateTarget.tagName)&&t.preventDefault();for(const t of we.getMultipleElementsFromSelector(this))Ei.getOrCreateInstance(t,{toggle:!1}).toggle()})),Qt(Ei);const Ai="dropdown",Ti=".bs.dropdown",Ci=".data-api",Oi="ArrowUp",xi="ArrowDown",ki=`hide${Ti}`,Li=`hidden${Ti}`,Si=`show${Ti}`,Di=`shown${Ti}`,$i=`click${Ti}${Ci}`,Ii=`keydown${Ti}${Ci}`,Ni=`keyup${Ti}${Ci}`,Pi="show",Mi='[data-bs-toggle="dropdown"]:not(.disabled):not(:disabled)',ji=`${Mi}.${Pi}`,Fi=".dropdown-menu",Hi=Kt()?"top-end":"top-start",Bi=Kt()?"top-start":"top-end",Wi=Kt()?"bottom-end":"bottom-start",zi=Kt()?"bottom-start":"bottom-end",Ri=Kt()?"left-start":"right-start",qi=Kt()?"right-start":"left-start",Vi={autoClose:!0,boundary:"clippingParents",display:"dynamic",offset:[0,2],popperConfig:null,reference:"toggle"},Yi={autoClose:"(boolean|string)",boundary:"(string|element)",display:"string",offset:"(array|string|function)",popperConfig:"(null|object|function)",reference:"(string|element|object)"};class Ki extends ve{constructor(t,e){super(t,e),this._popper=null,this._parent=this._element.parentNode,this._menu=we.next(this._element,Fi)[0]||we.prev(this._element,Fi)[0]||we.findOne(Fi,this._parent),this._inNavbar=this._detectNavbar()}static get Default(){return Vi}static get DefaultType(){return Yi}static get NAME(){return Ai}toggle(){return this._isShown()?this.hide():this.show()}show(){if(Wt(this._element)||this._isShown())return;const t={relatedTarget:this._element};if(!fe.trigger(this._element,Si,t).defaultPrevented){if(this._createPopper(),"ontouchstart"in document.documentElement&&!this._parent.closest(".navbar-nav"))for(const t of[].concat(...document.body.children))fe.on(t,"mouseover",Rt);this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add(Pi),this._element.classList.add(Pi),fe.trigger(this._element,Di,t)}}hide(){if(Wt(this._element)||!this._isShown())return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){if(!fe.trigger(this._element,ki,t).defaultPrevented){if("ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.off(t,"mouseover",Rt);this._popper&&this._popper.destroy(),this._menu.classList.remove(Pi),this._element.classList.remove(Pi),this._element.setAttribute("aria-expanded","false"),_e.removeDataAttribute(this._menu,"popper"),fe.trigger(this._element,Li,t)}}_getConfig(t){if("object"==typeof(t=super._getConfig(t)).reference&&!Ft(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${Ai.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(){if(void 0===e)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let t=this._element;"parent"===this._config.reference?t=this._parent:Ft(this._config.reference)?t=Ht(this._config.reference):"object"==typeof this._config.reference&&(t=this._config.reference);const i=this._getPopperConfig();this._popper=Dt(t,this._menu,i)}_isShown(){return this._menu.classList.contains(Pi)}_getPlacement(){const t=this._parent;if(t.classList.contains("dropend"))return Ri;if(t.classList.contains("dropstart"))return qi;if(t.classList.contains("dropup-center"))return"top";if(t.classList.contains("dropdown-center"))return"bottom";const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?Bi:Hi:e?zi:Wi}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(_e.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,...Xt(this._config.popperConfig,[t])}}_selectMenuItem({key:t,target:e}){const i=we.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>Bt(t)));i.length&&Gt(i,e,t===xi,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=Ki.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=we.find(ji);for(const i of e){const e=Ki.getInstance(i);if(!e||!1===e._config.autoClose)continue;const n=t.composedPath(),s=n.includes(e._menu);if(n.includes(e._element)||"inside"===e._config.autoClose&&!s||"outside"===e._config.autoClose&&s)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Oi,xi].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Mi)?this:we.prev(this,Mi)[0]||we.next(this,Mi)[0]||we.findOne(Mi,t.delegateTarget.parentNode),o=Ki.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}fe.on(document,Ii,Mi,Ki.dataApiKeydownHandler),fe.on(document,Ii,Fi,Ki.dataApiKeydownHandler),fe.on(document,$i,Ki.clearMenus),fe.on(document,Ni,Ki.clearMenus),fe.on(document,$i,Mi,(function(t){t.preventDefault(),Ki.getOrCreateInstance(this).toggle()})),Qt(Ki);const Qi="backdrop",Xi="show",Ui=`mousedown.bs.${Qi}`,Gi={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},Ji={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class Zi extends be{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Gi}static get DefaultType(){return Ji}static get NAME(){return Qi}show(t){if(!this._config.isVisible)return void Xt(t);this._append();const e=this._getElement();this._config.isAnimated&&qt(e),e.classList.add(Xi),this._emulateAnimation((()=>{Xt(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Xi),this._emulateAnimation((()=>{this.dispose(),Xt(t)}))):Xt(t)}dispose(){this._isAppended&&(fe.off(this._element,Ui),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=Ht(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),fe.on(t,Ui,(()=>{Xt(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){Ut(t,this._getElement(),this._config.isAnimated)}}const tn=".bs.focustrap",en=`focusin${tn}`,nn=`keydown.tab${tn}`,sn="backward",on={autofocus:!0,trapElement:null},rn={autofocus:"boolean",trapElement:"element"};class an extends be{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return on}static get DefaultType(){return rn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),fe.off(document,tn),fe.on(document,en,(t=>this._handleFocusin(t))),fe.on(document,nn,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,fe.off(document,tn))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=we.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===sn?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?sn:"forward")}}const ln=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",cn=".sticky-top",hn="padding-right",dn="margin-right";class un{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,hn,(e=>e+t)),this._setElementAttributes(ln,hn,(e=>e+t)),this._setElementAttributes(cn,dn,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,hn),this._resetElementAttributes(ln,hn),this._resetElementAttributes(cn,dn)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&_e.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=_e.getDataAttribute(t,e);null!==i?(_e.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(Ft(t))e(t);else for(const i of we.find(t,this._element))e(i)}}const fn=".bs.modal",pn=`hide${fn}`,mn=`hidePrevented${fn}`,gn=`hidden${fn}`,_n=`show${fn}`,bn=`shown${fn}`,vn=`resize${fn}`,yn=`click.dismiss${fn}`,wn=`mousedown.dismiss${fn}`,En=`keydown.dismiss${fn}`,An=`click${fn}.data-api`,Tn="modal-open",Cn="show",On="modal-static",xn={backdrop:!0,focus:!0,keyboard:!0},kn={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class Ln extends ve{constructor(t,e){super(t,e),this._dialog=we.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new un,this._addEventListeners()}static get Default(){return xn}static get DefaultType(){return kn}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||fe.trigger(this._element,_n,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(Tn),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(fe.trigger(this._element,pn).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(Cn),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){fe.off(window,fn),fe.off(this._dialog,fn),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Zi({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new an({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=we.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),qt(this._element),this._element.classList.add(Cn),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,fe.trigger(this._element,bn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){fe.on(this._element,En,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),fe.on(window,vn,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),fe.on(this._element,wn,(t=>{fe.one(this._element,yn,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(Tn),this._resetAdjustments(),this._scrollBar.reset(),fe.trigger(this._element,gn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(fe.trigger(this._element,mn).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(On)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(On),this._queueCallback((()=>{this._element.classList.remove(On),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=Kt()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=Kt()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=Ln.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}fe.on(document,An,'[data-bs-toggle="modal"]',(function(t){const e=we.getElementFromSelector(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),fe.one(e,_n,(t=>{t.defaultPrevented||fe.one(e,gn,(()=>{Bt(this)&&this.focus()}))}));const i=we.findOne(".modal.show");i&&Ln.getInstance(i).hide(),Ln.getOrCreateInstance(e).toggle(this)})),Ee(Ln),Qt(Ln);const Sn=".bs.offcanvas",Dn=".data-api",$n=`load${Sn}${Dn}`,In="show",Nn="showing",Pn="hiding",Mn=".offcanvas.show",jn=`show${Sn}`,Fn=`shown${Sn}`,Hn=`hide${Sn}`,Bn=`hidePrevented${Sn}`,Wn=`hidden${Sn}`,zn=`resize${Sn}`,Rn=`click${Sn}${Dn}`,qn=`keydown.dismiss${Sn}`,Vn={backdrop:!0,keyboard:!0,scroll:!1},Yn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class Kn extends ve{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return Vn}static get DefaultType(){return Yn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||fe.trigger(this._element,jn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new un).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(Nn),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(In),this._element.classList.remove(Nn),fe.trigger(this._element,Fn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(fe.trigger(this._element,Hn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add(Pn),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(In,Pn),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new un).reset(),fe.trigger(this._element,Wn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Zi({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():fe.trigger(this._element,Bn)}:null})}_initializeFocusTrap(){return new an({trapElement:this._element})}_addEventListeners(){fe.on(this._element,qn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():fe.trigger(this._element,Bn))}))}static jQueryInterface(t){return this.each((function(){const e=Kn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}fe.on(document,Rn,'[data-bs-toggle="offcanvas"]',(function(t){const e=we.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),Wt(this))return;fe.one(e,Wn,(()=>{Bt(this)&&this.focus()}));const i=we.findOne(Mn);i&&i!==e&&Kn.getInstance(i).hide(),Kn.getOrCreateInstance(e).toggle(this)})),fe.on(window,$n,(()=>{for(const t of we.find(Mn))Kn.getOrCreateInstance(t).show()})),fe.on(window,zn,(()=>{for(const t of we.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&Kn.getOrCreateInstance(t).hide()})),Ee(Kn),Qt(Kn);const Qn={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],dd:[],div:[],dl:[],dt:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Xn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Un=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Gn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Xn.has(i)||Boolean(Un.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Jn={allowList:Qn,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"<div></div>"},Zn={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},ts={entry:"(string|element|function|null)",selector:"(string|element)"};class es extends be{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Jn}static get DefaultType(){return Zn}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},ts)}_setContent(t,e,i){const n=we.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?Ft(e)?this._putElementInTemplate(Ht(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Gn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return Xt(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const is=new Set(["sanitize","allowList","sanitizeFn"]),ns="fade",ss="show",os=".tooltip-inner",rs=".modal",as="hide.bs.modal",ls="hover",cs="focus",hs={AUTO:"auto",TOP:"top",RIGHT:Kt()?"left":"right",BOTTOM:"bottom",LEFT:Kt()?"right":"left"},ds={allowList:Qn,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',title:"",trigger:"hover focus"},us={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class fs extends ve{constructor(t,i){if(void 0===e)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,i),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return ds}static get DefaultType(){return us}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),fe.off(this._element.closest(rs),as,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=fe.trigger(this._element,this.constructor.eventName("show")),e=(zt(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),fe.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(ss),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.on(t,"mouseover",Rt);this._queueCallback((()=>{fe.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!fe.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(ss),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.off(t,"mouseover",Rt);this._activeTrigger.click=!1,this._activeTrigger[cs]=!1,this._activeTrigger[ls]=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),fe.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(ns,ss),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(ns),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new es({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{[os]:this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(ns)}_isShown(){return this.tip&&this.tip.classList.contains(ss)}_createPopper(t){const e=Xt(this._config.placement,[this,t,this._element]),i=hs[e.toUpperCase()];return Dt(this._element,t,this._getPopperConfig(i))}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return Xt(t,[this._element])}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"preSetPlacement",enabled:!0,phase:"beforeMain",fn:t=>{this._getTipElement().setAttribute("data-popper-placement",t.state.placement)}}]};return{...e,...Xt(this._config.popperConfig,[e])}}_setListeners(){const t=this._config.trigger.split(" ");for(const e of t)if("click"===e)fe.on(this._element,this.constructor.eventName("click"),this._config.selector,(t=>{this._initializeOnDelegatedTarget(t).toggle()}));else if("manual"!==e){const t=e===ls?this.constructor.eventName("mouseenter"):this.constructor.eventName("focusin"),i=e===ls?this.constructor.eventName("mouseleave"):this.constructor.eventName("focusout");fe.on(this._element,t,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusin"===t.type?cs:ls]=!0,e._enter()})),fe.on(this._element,i,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusout"===t.type?cs:ls]=e._element.contains(t.relatedTarget),e._leave()}))}this._hideModalHandler=()=>{this._element&&this.hide()},fe.on(this._element.closest(rs),as,this._hideModalHandler)}_fixTitle(){const t=this._element.getAttribute("title");t&&(this._element.getAttribute("aria-label")||this._element.textContent.trim()||this._element.setAttribute("aria-label",t),this._element.setAttribute("data-bs-original-title",t),this._element.removeAttribute("title"))}_enter(){this._isShown()||this._isHovered?this._isHovered=!0:(this._isHovered=!0,this._setTimeout((()=>{this._isHovered&&this.show()}),this._config.delay.show))}_leave(){this._isWithActiveTrigger()||(this._isHovered=!1,this._setTimeout((()=>{this._isHovered||this.hide()}),this._config.delay.hide))}_setTimeout(t,e){clearTimeout(this._timeout),this._timeout=setTimeout(t,e)}_isWithActiveTrigger(){return Object.values(this._activeTrigger).includes(!0)}_getConfig(t){const e=_e.getDataAttributes(this._element);for(const t of Object.keys(e))is.has(t)&&delete e[t];return t={...e,..."object"==typeof t&&t?t:{}},t=this._mergeConfigObj(t),t=this._configAfterMerge(t),this._typeCheckConfig(t),t}_configAfterMerge(t){return t.container=!1===t.container?document.body:Ht(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),t}_getDelegateConfig(){const t={};for(const[e,i]of Object.entries(this._config))this.constructor.Default[e]!==i&&(t[e]=i);return t.selector=!1,t.trigger="manual",t}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null),this.tip&&(this.tip.remove(),this.tip=null)}static jQueryInterface(t){return this.each((function(){const e=fs.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Qt(fs);const ps=".popover-header",ms=".popover-body",gs={...fs.Default,content:"",offset:[0,8],placement:"right",template:'<div class="popover" role="tooltip"><div class="popover-arrow"></div><h3 class="popover-header"></h3><div class="popover-body"></div></div>',trigger:"click"},_s={...fs.DefaultType,content:"(null|string|element|function)"};class bs extends fs{static get Default(){return gs}static get DefaultType(){return _s}static get NAME(){return"popover"}_isWithContent(){return this._getTitle()||this._getContent()}_getContentForTemplate(){return{[ps]:this._getTitle(),[ms]:this._getContent()}}_getContent(){return this._resolvePossibleFunction(this._config.content)}static jQueryInterface(t){return this.each((function(){const e=bs.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Qt(bs);const vs=".bs.scrollspy",ys=`activate${vs}`,ws=`click${vs}`,Es=`load${vs}.data-api`,As="active",Ts="[href]",Cs=".nav-link",Os=`${Cs}, .nav-item > ${Cs}, .list-group-item`,xs={offset:null,rootMargin:"0px 0px -25%",smoothScroll:!1,target:null,threshold:[.1,.5,1]},ks={offset:"(number|null)",rootMargin:"string",smoothScroll:"boolean",target:"element",threshold:"array"};class Ls extends ve{constructor(t,e){super(t,e),this._targetLinks=new Map,this._observableSections=new Map,this._rootElement="visible"===getComputedStyle(this._element).overflowY?null:this._element,this._activeTarget=null,this._observer=null,this._previousScrollData={visibleEntryTop:0,parentScrollTop:0},this.refresh()}static get Default(){return xs}static get DefaultType(){return ks}static get NAME(){return"scrollspy"}refresh(){this._initializeTargetsAndObservables(),this._maybeEnableSmoothScroll(),this._observer?this._observer.disconnect():this._observer=this._getNewObserver();for(const t of this._observableSections.values())this._observer.observe(t)}dispose(){this._observer.disconnect(),super.dispose()}_configAfterMerge(t){return t.target=Ht(t.target)||document.body,t.rootMargin=t.offset?`${t.offset}px 0px -30%`:t.rootMargin,"string"==typeof t.threshold&&(t.threshold=t.threshold.split(",").map((t=>Number.parseFloat(t)))),t}_maybeEnableSmoothScroll(){this._config.smoothScroll&&(fe.off(this._config.target,ws),fe.on(this._config.target,ws,Ts,(t=>{const e=this._observableSections.get(t.target.hash);if(e){t.preventDefault();const i=this._rootElement||window,n=e.offsetTop-this._element.offsetTop;if(i.scrollTo)return void i.scrollTo({top:n,behavior:"smooth"});i.scrollTop=n}})))}_getNewObserver(){const t={root:this._rootElement,threshold:this._config.threshold,rootMargin:this._config.rootMargin};return new IntersectionObserver((t=>this._observerCallback(t)),t)}_observerCallback(t){const e=t=>this._targetLinks.get(`#${t.target.id}`),i=t=>{this._previousScrollData.visibleEntryTop=t.target.offsetTop,this._process(e(t))},n=(this._rootElement||document.documentElement).scrollTop,s=n>=this._previousScrollData.parentScrollTop;this._previousScrollData.parentScrollTop=n;for(const o of t){if(!o.isIntersecting){this._activeTarget=null,this._clearActiveClass(e(o));continue}const t=o.target.offsetTop>=this._previousScrollData.visibleEntryTop;if(s&&t){if(i(o),!n)return}else s||t||i(o)}}_initializeTargetsAndObservables(){this._targetLinks=new Map,this._observableSections=new Map;const t=we.find(Ts,this._config.target);for(const e of t){if(!e.hash||Wt(e))continue;const t=we.findOne(decodeURI(e.hash),this._element);Bt(t)&&(this._targetLinks.set(decodeURI(e.hash),e),this._observableSections.set(e.hash,t))}}_process(t){this._activeTarget!==t&&(this._clearActiveClass(this._config.target),this._activeTarget=t,t.classList.add(As),this._activateParents(t),fe.trigger(this._element,ys,{relatedTarget:t}))}_activateParents(t){if(t.classList.contains("dropdown-item"))we.findOne(".dropdown-toggle",t.closest(".dropdown")).classList.add(As);else for(const e of we.parents(t,".nav, .list-group"))for(const t of we.prev(e,Os))t.classList.add(As)}_clearActiveClass(t){t.classList.remove(As);const e=we.find(`${Ts}.${As}`,t);for(const t of e)t.classList.remove(As)}static jQueryInterface(t){return this.each((function(){const e=Ls.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}fe.on(window,Es,(()=>{for(const t of we.find('[data-bs-spy="scroll"]'))Ls.getOrCreateInstance(t)})),Qt(Ls);const Ss=".bs.tab",Ds=`hide${Ss}`,$s=`hidden${Ss}`,Is=`show${Ss}`,Ns=`shown${Ss}`,Ps=`click${Ss}`,Ms=`keydown${Ss}`,js=`load${Ss}`,Fs="ArrowLeft",Hs="ArrowRight",Bs="ArrowUp",Ws="ArrowDown",zs="Home",Rs="End",qs="active",Vs="fade",Ys="show",Ks=".dropdown-toggle",Qs=`:not(${Ks})`,Xs='[data-bs-toggle="tab"], [data-bs-toggle="pill"], [data-bs-toggle="list"]',Us=`.nav-link${Qs}, .list-group-item${Qs}, [role="tab"]${Qs}, ${Xs}`,Gs=`.${qs}[data-bs-toggle="tab"], .${qs}[data-bs-toggle="pill"], .${qs}[data-bs-toggle="list"]`;class Js extends ve{constructor(t){super(t),this._parent=this._element.closest('.list-group, .nav, [role="tablist"]'),this._parent&&(this._setInitialAttributes(this._parent,this._getChildren()),fe.on(this._element,Ms,(t=>this._keydown(t))))}static get NAME(){return"tab"}show(){const t=this._element;if(this._elemIsActive(t))return;const e=this._getActiveElem(),i=e?fe.trigger(e,Ds,{relatedTarget:t}):null;fe.trigger(t,Is,{relatedTarget:e}).defaultPrevented||i&&i.defaultPrevented||(this._deactivate(e,t),this._activate(t,e))}_activate(t,e){t&&(t.classList.add(qs),this._activate(we.getElementFromSelector(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.removeAttribute("tabindex"),t.setAttribute("aria-selected",!0),this._toggleDropDown(t,!0),fe.trigger(t,Ns,{relatedTarget:e})):t.classList.add(Ys)}),t,t.classList.contains(Vs)))}_deactivate(t,e){t&&(t.classList.remove(qs),t.blur(),this._deactivate(we.getElementFromSelector(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.setAttribute("aria-selected",!1),t.setAttribute("tabindex","-1"),this._toggleDropDown(t,!1),fe.trigger(t,$s,{relatedTarget:e})):t.classList.remove(Ys)}),t,t.classList.contains(Vs)))}_keydown(t){if(![Fs,Hs,Bs,Ws,zs,Rs].includes(t.key))return;t.stopPropagation(),t.preventDefault();const e=this._getChildren().filter((t=>!Wt(t)));let i;if([zs,Rs].includes(t.key))i=e[t.key===zs?0:e.length-1];else{const n=[Hs,Ws].includes(t.key);i=Gt(e,t.target,n,!0)}i&&(i.focus({preventScroll:!0}),Js.getOrCreateInstance(i).show())}_getChildren(){return we.find(Us,this._parent)}_getActiveElem(){return this._getChildren().find((t=>this._elemIsActive(t)))||null}_setInitialAttributes(t,e){this._setAttributeIfNotExists(t,"role","tablist");for(const t of e)this._setInitialAttributesOnChild(t)}_setInitialAttributesOnChild(t){t=this._getInnerElement(t);const e=this._elemIsActive(t),i=this._getOuterElement(t);t.setAttribute("aria-selected",e),i!==t&&this._setAttributeIfNotExists(i,"role","presentation"),e||t.setAttribute("tabindex","-1"),this._setAttributeIfNotExists(t,"role","tab"),this._setInitialAttributesOnTargetPanel(t)}_setInitialAttributesOnTargetPanel(t){const e=we.getElementFromSelector(t);e&&(this._setAttributeIfNotExists(e,"role","tabpanel"),t.id&&this._setAttributeIfNotExists(e,"aria-labelledby",`${t.id}`))}_toggleDropDown(t,e){const i=this._getOuterElement(t);if(!i.classList.contains("dropdown"))return;const n=(t,n)=>{const s=we.findOne(t,i);s&&s.classList.toggle(n,e)};n(Ks,qs),n(".dropdown-menu",Ys),i.setAttribute("aria-expanded",e)}_setAttributeIfNotExists(t,e,i){t.hasAttribute(e)||t.setAttribute(e,i)}_elemIsActive(t){return t.classList.contains(qs)}_getInnerElement(t){return t.matches(Us)?t:we.findOne(Us,t)}_getOuterElement(t){return t.closest(".nav-item, .list-group-item")||t}static jQueryInterface(t){return this.each((function(){const e=Js.getOrCreateInstance(this);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named 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+//# sourceMappingURL=bootstrap.js.map
\ No newline at end of file
diff --git a/_static/scripts/bootstrap.js.LICENSE.txt b/_static/scripts/bootstrap.js.LICENSE.txt
new file mode 100644
index 000000000..28755c2c5
--- /dev/null
+++ b/_static/scripts/bootstrap.js.LICENSE.txt
@@ -0,0 +1,5 @@
+/*!
+  * Bootstrap v5.3.3 (https://getbootstrap.com/)
+  * Copyright 2011-2024 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)
+  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
+  */
diff --git a/_static/scripts/bootstrap.js.map b/_static/scripts/bootstrap.js.map
new file mode 100644
index 000000000..4a3502aeb
--- /dev/null
+++ b/_static/scripts/bootstrap.js.map
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(element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n  if (node == null) {\n    return window;\n  }\n\n  if (node.toString() !== '[object Window]') {\n    var ownerDocument = node.ownerDocument;\n    return ownerDocument ? ownerDocument.defaultView || window : window;\n  }\n\n  return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n  var OwnElement = getWindow(node).Element;\n  return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n  var OwnElement = getWindow(node).HTMLElement;\n  return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n  // IE 11 has no ShadowRoot\n  if (typeof ShadowRoot === 'undefined') {\n    return false;\n  }\n\n  var OwnElement = getWindow(node).ShadowRoot;\n  return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n  var state = _ref.state;\n  Object.keys(state.elements).forEach(function (name) {\n    var style = state.styles[name] || {};\n    var attributes = state.attributes[name] || {};\n    var element = state.elements[name]; // arrow is optional + virtual elements\n\n    if (!isHTMLElement(element) || !getNodeName(element)) {\n      return;\n    } // Flow doesn't support to extend this property, but it's the most\n    // effective way to apply styles to an HTMLElement\n    // $FlowFixMe[cannot-write]\n\n\n    Object.assign(element.style, style);\n    Object.keys(attributes).forEach(function (name) {\n      var value = attributes[name];\n\n      if (value === false) {\n        element.removeAttribute(name);\n      } else {\n        element.setAttribute(name, value === true ? '' : value);\n      }\n    });\n  });\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state;\n  var initialStyles = {\n    popper: {\n      position: state.options.strategy,\n      left: '0',\n      top: '0',\n      margin: '0'\n    },\n    arrow: {\n      position: 'absolute'\n    },\n    reference: {}\n  };\n  Object.assign(state.elements.popper.style, initialStyles.popper);\n  state.styles = initialStyles;\n\n  if (state.elements.arrow) {\n    Object.assign(state.elements.arrow.style, initialStyles.arrow);\n  }\n\n  return function () {\n    Object.keys(state.elements).forEach(function (name) {\n      var element = state.elements[name];\n      var attributes = state.attributes[name] || {};\n      var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n      var style = styleProperties.reduce(function (style, property) {\n        style[property] = '';\n        return style;\n      }, {}); // arrow is optional + virtual elements\n\n      if (!isHTMLElement(element) || !getNodeName(element)) {\n        return;\n      }\n\n      Object.assign(element.style, style);\n      Object.keys(attributes).forEach(function (attribute) {\n        element.removeAttribute(attribute);\n      });\n    });\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'applyStyles',\n  enabled: true,\n  phase: 'write',\n  fn: applyStyles,\n  effect: effect,\n  requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n  return placement.split('-')[0];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n  var uaData = navigator.userAgentData;\n\n  if (uaData != null && uaData.brands && Array.isArray(uaData.brands)) {\n    return uaData.brands.map(function (item) {\n      return item.brand + \"/\" + item.version;\n    }).join(' ');\n  }\n\n  return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n  return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n  if (includeScale === void 0) {\n    includeScale = false;\n  }\n\n  if (isFixedStrategy === void 0) {\n    isFixedStrategy = false;\n  }\n\n  var clientRect = element.getBoundingClientRect();\n  var scaleX = 1;\n  var scaleY = 1;\n\n  if (includeScale && isHTMLElement(element)) {\n    scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n    scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n  }\n\n  var _ref = isElement(element) ? getWindow(element) : window,\n      visualViewport = _ref.visualViewport;\n\n  var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n  var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n  var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n  var width = clientRect.width / scaleX;\n  var height = clientRect.height / scaleY;\n  return {\n    width: width,\n    height: height,\n    top: y,\n    right: x + width,\n    bottom: y + height,\n    left: x,\n    x: x,\n    y: y\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n  var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n  // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n  var width = element.offsetWidth;\n  var height = element.offsetHeight;\n\n  if (Math.abs(clientRect.width - width) <= 1) {\n    width = clientRect.width;\n  }\n\n  if (Math.abs(clientRect.height - height) <= 1) {\n    height = clientRect.height;\n  }\n\n  return {\n    x: element.offsetLeft,\n    y: element.offsetTop,\n    width: width,\n    height: height\n  };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n  var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n  if (parent.contains(child)) {\n    return true;\n  } // then fallback to custom implementation with Shadow DOM support\n  else if (rootNode && isShadowRoot(rootNode)) {\n      var next = child;\n\n      do {\n        if (next && parent.isSameNode(next)) {\n          return true;\n        } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n        next = next.parentNode || next.host;\n      } while (next);\n    } // Give up, the result is false\n\n\n  return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n  return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n  return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n  // $FlowFixMe[incompatible-return]: assume body is always available\n  return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n  element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n  if (getNodeName(element) === 'html') {\n    return element;\n  }\n\n  return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n    // $FlowFixMe[incompatible-return]\n    // $FlowFixMe[prop-missing]\n    element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n    element.parentNode || ( // DOM Element detected\n    isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n    // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n    getDocumentElement(element) // fallback\n\n  );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n  if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n  getComputedStyle(element).position === 'fixed') {\n    return null;\n  }\n\n  return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n  var isFirefox = /firefox/i.test(getUAString());\n  var isIE = /Trident/i.test(getUAString());\n\n  if (isIE && isHTMLElement(element)) {\n    // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n    var elementCss = getComputedStyle(element);\n\n    if (elementCss.position === 'fixed') {\n      return null;\n    }\n  }\n\n  var currentNode = getParentNode(element);\n\n  if (isShadowRoot(currentNode)) {\n    currentNode = currentNode.host;\n  }\n\n  while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n    var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n    // create a containing block.\n    // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n    if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n      return currentNode;\n    } else {\n      currentNode = currentNode.parentNode;\n    }\n  }\n\n  return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n  var window = getWindow(element);\n  var offsetParent = getTrueOffsetParent(element);\n\n  while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n    offsetParent = getTrueOffsetParent(offsetParent);\n  }\n\n  if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n    return window;\n  }\n\n  return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n  return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n  return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n  var v = within(min, value, max);\n  return v > max ? max : v;\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n  return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n  return {\n    top: 0,\n    right: 0,\n    bottom: 0,\n    left: 0\n  };\n}","export default function expandToHashMap(value, keys) {\n  return keys.reduce(function (hashMap, key) {\n    hashMap[key] = value;\n    return hashMap;\n  }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n  padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : padding;\n  return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n  var _state$modifiersData$;\n\n  var state = _ref.state,\n      name = _ref.name,\n      options = _ref.options;\n  var arrowElement = state.elements.arrow;\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var basePlacement = getBasePlacement(state.placement);\n  var axis = getMainAxisFromPlacement(basePlacement);\n  var isVertical = [left, right].indexOf(basePlacement) >= 0;\n  var len = isVertical ? 'height' : 'width';\n\n  if (!arrowElement || !popperOffsets) {\n    return;\n  }\n\n  var paddingObject = toPaddingObject(options.padding, state);\n  var arrowRect = getLayoutRect(arrowElement);\n  var minProp = axis === 'y' ? top : left;\n  var maxProp = axis === 'y' ? bottom : right;\n  var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n  var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n  var arrowOffsetParent = getOffsetParent(arrowElement);\n  var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n  var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n  // outside of the popper bounds\n\n  var min = paddingObject[minProp];\n  var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n  var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n  var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n  var axisProp = axis;\n  state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options;\n  var _options$element = options.element,\n      arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n  if (arrowElement == null) {\n    return;\n  } // CSS selector\n\n\n  if (typeof arrowElement === 'string') {\n    arrowElement = state.elements.popper.querySelector(arrowElement);\n\n    if (!arrowElement) {\n      return;\n    }\n  }\n\n  if (!contains(state.elements.popper, arrowElement)) {\n    return;\n  }\n\n  state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'arrow',\n  enabled: true,\n  phase: 'main',\n  fn: arrow,\n  effect: effect,\n  requires: ['popperOffsets'],\n  requiresIfExists: ['preventOverflow']\n};","export default function getVariation(placement) {\n  return placement.split('-')[1];\n}","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n  top: 'auto',\n  right: 'auto',\n  bottom: 'auto',\n  left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref, win) {\n  var x = _ref.x,\n      y = _ref.y;\n  var dpr = win.devicePixelRatio || 1;\n  return {\n    x: round(x * dpr) / dpr || 0,\n    y: round(y * dpr) / dpr || 0\n  };\n}\n\nexport function mapToStyles(_ref2) {\n  var _Object$assign2;\n\n  var popper = _ref2.popper,\n      popperRect = _ref2.popperRect,\n      placement = _ref2.placement,\n      variation = _ref2.variation,\n      offsets = _ref2.offsets,\n      position = _ref2.position,\n      gpuAcceleration = _ref2.gpuAcceleration,\n      adaptive = _ref2.adaptive,\n      roundOffsets = _ref2.roundOffsets,\n      isFixed = _ref2.isFixed;\n  var _offsets$x = offsets.x,\n      x = _offsets$x === void 0 ? 0 : _offsets$x,\n      _offsets$y = offsets.y,\n      y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n  var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n    x: x,\n    y: y\n  }) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref3.x;\n  y = _ref3.y;\n  var hasX = offsets.hasOwnProperty('x');\n  var hasY = offsets.hasOwnProperty('y');\n  var sideX = left;\n  var sideY = top;\n  var win = window;\n\n  if (adaptive) {\n    var offsetParent = getOffsetParent(popper);\n    var heightProp = 'clientHeight';\n    var widthProp = 'clientWidth';\n\n    if (offsetParent === getWindow(popper)) {\n      offsetParent = getDocumentElement(popper);\n\n      if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n        heightProp = 'scrollHeight';\n        widthProp = 'scrollWidth';\n      }\n    } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n    offsetParent = offsetParent;\n\n    if (placement === top || (placement === left || placement === right) && variation === end) {\n      sideY = bottom;\n      var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n      offsetParent[heightProp];\n      y -= offsetY - popperRect.height;\n      y *= gpuAcceleration ? 1 : -1;\n    }\n\n    if (placement === left || (placement === top || placement === bottom) && variation === end) {\n      sideX = right;\n      var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n      offsetParent[widthProp];\n      x -= offsetX - popperRect.width;\n      x *= gpuAcceleration ? 1 : -1;\n    }\n  }\n\n  var commonStyles = Object.assign({\n    position: position\n  }, adaptive && unsetSides);\n\n  var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n    x: x,\n    y: y\n  }, getWindow(popper)) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref4.x;\n  y = _ref4.y;\n\n  if (gpuAcceleration) {\n    var _Object$assign;\n\n    return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n  }\n\n  return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n  var state = _ref5.state,\n      options = _ref5.options;\n  var _options$gpuAccelerat = options.gpuAcceleration,\n      gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n      _options$adaptive = options.adaptive,\n      adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n      _options$roundOffsets = options.roundOffsets,\n      roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n  var commonStyles = {\n    placement: getBasePlacement(state.placement),\n    variation: getVariation(state.placement),\n    popper: state.elements.popper,\n    popperRect: state.rects.popper,\n    gpuAcceleration: gpuAcceleration,\n    isFixed: state.options.strategy === 'fixed'\n  };\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.popperOffsets,\n      position: state.options.strategy,\n      adaptive: adaptive,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  if (state.modifiersData.arrow != null) {\n    state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.arrow,\n      position: 'absolute',\n      adaptive: false,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-placement': state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'computeStyles',\n  enabled: true,\n  phase: 'beforeWrite',\n  fn: computeStyles,\n  data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n  passive: true\n};\n\nfunction effect(_ref) {\n  var state = _ref.state,\n      instance = _ref.instance,\n      options = _ref.options;\n  var _options$scroll = options.scroll,\n      scroll = _options$scroll === void 0 ? true : _options$scroll,\n      _options$resize = options.resize,\n      resize = _options$resize === void 0 ? true : _options$resize;\n  var window = getWindow(state.elements.popper);\n  var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n  if (scroll) {\n    scrollParents.forEach(function (scrollParent) {\n      scrollParent.addEventListener('scroll', instance.update, passive);\n    });\n  }\n\n  if (resize) {\n    window.addEventListener('resize', instance.update, passive);\n  }\n\n  return function () {\n    if (scroll) {\n      scrollParents.forEach(function (scrollParent) {\n        scrollParent.removeEventListener('scroll', instance.update, passive);\n      });\n    }\n\n    if (resize) {\n      window.removeEventListener('resize', instance.update, passive);\n    }\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'eventListeners',\n  enabled: true,\n  phase: 'write',\n  fn: function fn() {},\n  effect: effect,\n  data: {}\n};","var hash = {\n  left: 'right',\n  right: 'left',\n  bottom: 'top',\n  top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n  return placement.replace(/left|right|bottom|top/g, function (matched) {\n    return hash[matched];\n  });\n}","var hash = {\n  start: 'end',\n  end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n  return placement.replace(/start|end/g, function (matched) {\n    return hash[matched];\n  });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n  var win = getWindow(node);\n  var scrollLeft = win.pageXOffset;\n  var scrollTop = win.pageYOffset;\n  return {\n    scrollLeft: scrollLeft,\n    scrollTop: scrollTop\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n  // If <html> has a CSS width greater than the viewport, then this will be\n  // incorrect for RTL.\n  // Popper 1 is broken in this case and never had a bug report so let's assume\n  // it's not an issue. I don't think anyone ever specifies width on <html>\n  // anyway.\n  // Browsers where the left scrollbar doesn't cause an issue report `0` for\n  // this (e.g. Edge 2019, IE11, Safari)\n  return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n  // Firefox wants us to check `-x` and `-y` variations as well\n  var _getComputedStyle = getComputedStyle(element),\n      overflow = _getComputedStyle.overflow,\n      overflowX = _getComputedStyle.overflowX,\n      overflowY = _getComputedStyle.overflowY;\n\n  return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n  if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n    // $FlowFixMe[incompatible-return]: assume body is always available\n    return node.ownerDocument.body;\n  }\n\n  if (isHTMLElement(node) && isScrollParent(node)) {\n    return node;\n  }\n\n  return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n  var _element$ownerDocumen;\n\n  if (list === void 0) {\n    list = [];\n  }\n\n  var scrollParent = getScrollParent(element);\n  var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n  var win = getWindow(scrollParent);\n  var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n  var updatedList = list.concat(target);\n  return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n  updatedList.concat(listScrollParents(getParentNode(target)));\n}","export default function rectToClientRect(rect) {\n  return Object.assign({}, rect, {\n    left: rect.x,\n    top: rect.y,\n    right: rect.x + rect.width,\n    bottom: rect.y + rect.height\n  });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n  var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n  rect.top = rect.top + element.clientTop;\n  rect.left = rect.left + element.clientLeft;\n  rect.bottom = rect.top + element.clientHeight;\n  rect.right = rect.left + element.clientWidth;\n  rect.width = element.clientWidth;\n  rect.height = element.clientHeight;\n  rect.x = rect.left;\n  rect.y = rect.top;\n  return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n  return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n  var clippingParents = listScrollParents(getParentNode(element));\n  var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n  var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n  if (!isElement(clipperElement)) {\n    return [];\n  } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n  return clippingParents.filter(function (clippingParent) {\n    return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n  });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n  var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n  var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n  var firstClippingParent = clippingParents[0];\n  var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n    var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n    accRect.top = max(rect.top, accRect.top);\n    accRect.right = min(rect.right, accRect.right);\n    accRect.bottom = min(rect.bottom, accRect.bottom);\n    accRect.left = max(rect.left, accRect.left);\n    return accRect;\n  }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n  clippingRect.width = clippingRect.right - clippingRect.left;\n  clippingRect.height = clippingRect.bottom - clippingRect.top;\n  clippingRect.x = clippingRect.left;\n  clippingRect.y = clippingRect.top;\n  return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n  var win = getWindow(element);\n  var html = getDocumentElement(element);\n  var visualViewport = win.visualViewport;\n  var width = html.clientWidth;\n  var height = html.clientHeight;\n  var x = 0;\n  var y = 0;\n\n  if (visualViewport) {\n    width = visualViewport.width;\n    height = visualViewport.height;\n    var layoutViewport = isLayoutViewport();\n\n    if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n      x = visualViewport.offsetLeft;\n      y = visualViewport.offsetTop;\n    }\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x + getWindowScrollBarX(element),\n    y: y\n  };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `<html>` and `<body>` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n  var _element$ownerDocumen;\n\n  var html = getDocumentElement(element);\n  var winScroll = getWindowScroll(element);\n  var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n  var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n  var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n  var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n  var y = -winScroll.scrollTop;\n\n  if (getComputedStyle(body || html).direction === 'rtl') {\n    x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x,\n    y: y\n  };\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n  var reference = _ref.reference,\n      element = _ref.element,\n      placement = _ref.placement;\n  var basePlacement = placement ? getBasePlacement(placement) : null;\n  var variation = placement ? getVariation(placement) : null;\n  var commonX = reference.x + reference.width / 2 - element.width / 2;\n  var commonY = reference.y + reference.height / 2 - element.height / 2;\n  var offsets;\n\n  switch (basePlacement) {\n    case top:\n      offsets = {\n        x: commonX,\n        y: reference.y - element.height\n      };\n      break;\n\n    case bottom:\n      offsets = {\n        x: commonX,\n        y: reference.y + reference.height\n      };\n      break;\n\n    case right:\n      offsets = {\n        x: reference.x + reference.width,\n        y: commonY\n      };\n      break;\n\n    case left:\n      offsets = {\n        x: reference.x - element.width,\n        y: commonY\n      };\n      break;\n\n    default:\n      offsets = {\n        x: reference.x,\n        y: reference.y\n      };\n  }\n\n  var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n  if (mainAxis != null) {\n    var len = mainAxis === 'y' ? 'height' : 'width';\n\n    switch (variation) {\n      case start:\n        offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n        break;\n\n      case end:\n        offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n        break;\n\n      default:\n    }\n  }\n\n  return offsets;\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      _options$placement = _options.placement,\n      placement = _options$placement === void 0 ? state.placement : _options$placement,\n      _options$strategy = _options.strategy,\n      strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n      _options$boundary = _options.boundary,\n      boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n      _options$rootBoundary = _options.rootBoundary,\n      rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n      _options$elementConte = _options.elementContext,\n      elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n      _options$altBoundary = _options.altBoundary,\n      altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n      _options$padding = _options.padding,\n      padding = _options$padding === void 0 ? 0 : _options$padding;\n  var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n  var altContext = elementContext === popper ? reference : popper;\n  var popperRect = state.rects.popper;\n  var element = state.elements[altBoundary ? altContext : elementContext];\n  var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n  var referenceClientRect = getBoundingClientRect(state.elements.reference);\n  var popperOffsets = computeOffsets({\n    reference: referenceClientRect,\n    element: popperRect,\n    strategy: 'absolute',\n    placement: placement\n  });\n  var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n  var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n  // 0 or negative = within the clipping rect\n\n  var overflowOffsets = {\n    top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n    bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n    left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n    right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n  };\n  var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n  if (elementContext === popper && offsetData) {\n    var offset = offsetData[placement];\n    Object.keys(overflowOffsets).forEach(function (key) {\n      var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n      var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n      overflowOffsets[key] += offset[axis] * multiply;\n    });\n  }\n\n  return overflowOffsets;\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n  if (getBasePlacement(placement) === auto) {\n    return [];\n  }\n\n  var oppositePlacement = getOppositePlacement(placement);\n  return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n\n  if (state.modifiersData[name]._skip) {\n    return;\n  }\n\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n      specifiedFallbackPlacements = options.fallbackPlacements,\n      padding = options.padding,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      _options$flipVariatio = options.flipVariations,\n      flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n      allowedAutoPlacements = options.allowedAutoPlacements;\n  var preferredPlacement = state.options.placement;\n  var basePlacement = getBasePlacement(preferredPlacement);\n  var isBasePlacement = basePlacement === preferredPlacement;\n  var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n  var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n    return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding,\n      flipVariations: flipVariations,\n      allowedAutoPlacements: allowedAutoPlacements\n    }) : placement);\n  }, []);\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var checksMap = new Map();\n  var makeFallbackChecks = true;\n  var firstFittingPlacement = placements[0];\n\n  for (var i = 0; i < placements.length; i++) {\n    var placement = placements[i];\n\n    var _basePlacement = getBasePlacement(placement);\n\n    var isStartVariation = getVariation(placement) === start;\n    var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n    var len = isVertical ? 'width' : 'height';\n    var overflow = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      altBoundary: altBoundary,\n      padding: padding\n    });\n    var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n    if (referenceRect[len] > popperRect[len]) {\n      mainVariationSide = getOppositePlacement(mainVariationSide);\n    }\n\n    var altVariationSide = getOppositePlacement(mainVariationSide);\n    var checks = [];\n\n    if (checkMainAxis) {\n      checks.push(overflow[_basePlacement] <= 0);\n    }\n\n    if (checkAltAxis) {\n      checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n    }\n\n    if (checks.every(function (check) {\n      return check;\n    })) {\n      firstFittingPlacement = placement;\n      makeFallbackChecks = false;\n      break;\n    }\n\n    checksMap.set(placement, checks);\n  }\n\n  if (makeFallbackChecks) {\n    // `2` may be desired in some cases – research later\n    var numberOfChecks = flipVariations ? 3 : 1;\n\n    var _loop = function _loop(_i) {\n      var fittingPlacement = placements.find(function (placement) {\n        var checks = checksMap.get(placement);\n\n        if (checks) {\n          return checks.slice(0, _i).every(function (check) {\n            return check;\n          });\n        }\n      });\n\n      if (fittingPlacement) {\n        firstFittingPlacement = fittingPlacement;\n        return \"break\";\n      }\n    };\n\n    for (var _i = numberOfChecks; _i > 0; _i--) {\n      var _ret = _loop(_i);\n\n      if (_ret === \"break\") break;\n    }\n  }\n\n  if (state.placement !== firstFittingPlacement) {\n    state.modifiersData[name]._skip = true;\n    state.placement = firstFittingPlacement;\n    state.reset = true;\n  }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'flip',\n  enabled: true,\n  phase: 'main',\n  fn: flip,\n  requiresIfExists: ['offset'],\n  data: {\n    _skip: false\n  }\n};","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      placement = _options.placement,\n      boundary = _options.boundary,\n      rootBoundary = _options.rootBoundary,\n      padding = _options.padding,\n      flipVariations = _options.flipVariations,\n      _options$allowedAutoP = _options.allowedAutoPlacements,\n      allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n  var variation = getVariation(placement);\n  var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n    return getVariation(placement) === variation;\n  }) : basePlacements;\n  var allowedPlacements = placements.filter(function (placement) {\n    return allowedAutoPlacements.indexOf(placement) >= 0;\n  });\n\n  if (allowedPlacements.length === 0) {\n    allowedPlacements = placements;\n  } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n  var overflows = allowedPlacements.reduce(function (acc, placement) {\n    acc[placement] = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding\n    })[getBasePlacement(placement)];\n    return acc;\n  }, {});\n  return Object.keys(overflows).sort(function (a, b) {\n    return overflows[a] - overflows[b];\n  });\n}","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n  if (preventedOffsets === void 0) {\n    preventedOffsets = {\n      x: 0,\n      y: 0\n    };\n  }\n\n  return {\n    top: overflow.top - rect.height - preventedOffsets.y,\n    right: overflow.right - rect.width + preventedOffsets.x,\n    bottom: overflow.bottom - rect.height + preventedOffsets.y,\n    left: overflow.left - rect.width - preventedOffsets.x\n  };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n  return [top, right, bottom, left].some(function (side) {\n    return overflow[side] >= 0;\n  });\n}\n\nfunction hide(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var preventedOffsets = state.modifiersData.preventOverflow;\n  var referenceOverflow = detectOverflow(state, {\n    elementContext: 'reference'\n  });\n  var popperAltOverflow = detectOverflow(state, {\n    altBoundary: true\n  });\n  var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n  var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n  var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n  var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n  state.modifiersData[name] = {\n    referenceClippingOffsets: referenceClippingOffsets,\n    popperEscapeOffsets: popperEscapeOffsets,\n    isReferenceHidden: isReferenceHidden,\n    hasPopperEscaped: hasPopperEscaped\n  };\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-reference-hidden': isReferenceHidden,\n    'data-popper-escaped': hasPopperEscaped\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'hide',\n  enabled: true,\n  phase: 'main',\n  requiresIfExists: ['preventOverflow'],\n  fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n  var basePlacement = getBasePlacement(placement);\n  var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n  var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n    placement: placement\n  })) : offset,\n      skidding = _ref[0],\n      distance = _ref[1];\n\n  skidding = skidding || 0;\n  distance = (distance || 0) * invertDistance;\n  return [left, right].indexOf(basePlacement) >= 0 ? {\n    x: distance,\n    y: skidding\n  } : {\n    x: skidding,\n    y: distance\n  };\n}\n\nfunction offset(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options,\n      name = _ref2.name;\n  var _options$offset = options.offset,\n      offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n  var data = placements.reduce(function (acc, placement) {\n    acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n    return acc;\n  }, {});\n  var _data$state$placement = data[state.placement],\n      x = _data$state$placement.x,\n      y = _data$state$placement.y;\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.modifiersData.popperOffsets.x += x;\n    state.modifiersData.popperOffsets.y += y;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'offset',\n  enabled: true,\n  phase: 'main',\n  requires: ['popperOffsets'],\n  fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  // Offsets are the actual position the popper needs to have to be\n  // properly positioned near its reference element\n  // This is the most basic placement, and will be adjusted by\n  // the modifiers in the next step\n  state.modifiersData[name] = computeOffsets({\n    reference: state.rects.reference,\n    element: state.rects.popper,\n    strategy: 'absolute',\n    placement: state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'popperOffsets',\n  enabled: true,\n  phase: 'read',\n  fn: popperOffsets,\n  data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      padding = options.padding,\n      _options$tether = options.tether,\n      tether = _options$tether === void 0 ? true : _options$tether,\n      _options$tetherOffset = options.tetherOffset,\n      tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n  var overflow = detectOverflow(state, {\n    boundary: boundary,\n    rootBoundary: rootBoundary,\n    padding: padding,\n    altBoundary: altBoundary\n  });\n  var basePlacement = getBasePlacement(state.placement);\n  var variation = getVariation(state.placement);\n  var isBasePlacement = !variation;\n  var mainAxis = getMainAxisFromPlacement(basePlacement);\n  var altAxis = getAltAxis(mainAxis);\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : tetherOffset;\n  var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n    mainAxis: tetherOffsetValue,\n    altAxis: tetherOffsetValue\n  } : Object.assign({\n    mainAxis: 0,\n    altAxis: 0\n  }, tetherOffsetValue);\n  var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n  var data = {\n    x: 0,\n    y: 0\n  };\n\n  if (!popperOffsets) {\n    return;\n  }\n\n  if (checkMainAxis) {\n    var _offsetModifierState$;\n\n    var mainSide = mainAxis === 'y' ? top : left;\n    var altSide = mainAxis === 'y' ? bottom : right;\n    var len = mainAxis === 'y' ? 'height' : 'width';\n    var offset = popperOffsets[mainAxis];\n    var min = offset + overflow[mainSide];\n    var max = offset - overflow[altSide];\n    var additive = tether ? -popperRect[len] / 2 : 0;\n    var minLen = variation === start ? referenceRect[len] : popperRect[len];\n    var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n    // outside the reference bounds\n\n    var arrowElement = state.elements.arrow;\n    var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n      width: 0,\n      height: 0\n    };\n    var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n    var arrowPaddingMin = arrowPaddingObject[mainSide];\n    var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n    // to include its full size in the calculation. If the reference is small\n    // and near the edge of a boundary, the popper can overflow even if the\n    // reference is not overflowing as well (e.g. virtual elements with no\n    // width or height)\n\n    var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n    var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n    var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n    var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n    var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n    var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n    var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n    var tetherMax = offset + maxOffset - offsetModifierValue;\n    var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n    popperOffsets[mainAxis] = preventedOffset;\n    data[mainAxis] = preventedOffset - offset;\n  }\n\n  if (checkAltAxis) {\n    var _offsetModifierState$2;\n\n    var _mainSide = mainAxis === 'x' ? top : left;\n\n    var _altSide = mainAxis === 'x' ? bottom : right;\n\n    var _offset = popperOffsets[altAxis];\n\n    var _len = altAxis === 'y' ? 'height' : 'width';\n\n    var _min = _offset + overflow[_mainSide];\n\n    var _max = _offset - overflow[_altSide];\n\n    var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n    var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n    var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n    var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n    var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n    popperOffsets[altAxis] = _preventedOffset;\n    data[altAxis] = _preventedOffset - _offset;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'preventOverflow',\n  enabled: true,\n  phase: 'main',\n  fn: preventOverflow,\n  requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n  return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n  var rect = element.getBoundingClientRect();\n  var scaleX = round(rect.width) / element.offsetWidth || 1;\n  var scaleY = round(rect.height) / element.offsetHeight || 1;\n  return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n  if (isFixed === void 0) {\n    isFixed = false;\n  }\n\n  var isOffsetParentAnElement = isHTMLElement(offsetParent);\n  var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n  var documentElement = getDocumentElement(offsetParent);\n  var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n  var scroll = {\n    scrollLeft: 0,\n    scrollTop: 0\n  };\n  var offsets = {\n    x: 0,\n    y: 0\n  };\n\n  if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n    if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n    isScrollParent(documentElement)) {\n      scroll = getNodeScroll(offsetParent);\n    }\n\n    if (isHTMLElement(offsetParent)) {\n      offsets = getBoundingClientRect(offsetParent, true);\n      offsets.x += offsetParent.clientLeft;\n      offsets.y += offsetParent.clientTop;\n    } else if (documentElement) {\n      offsets.x = getWindowScrollBarX(documentElement);\n    }\n  }\n\n  return {\n    x: rect.left + scroll.scrollLeft - offsets.x,\n    y: rect.top + scroll.scrollTop - offsets.y,\n    width: rect.width,\n    height: rect.height\n  };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n  if (node === getWindow(node) || !isHTMLElement(node)) {\n    return getWindowScroll(node);\n  } else {\n    return getHTMLElementScroll(node);\n  }\n}","export default function getHTMLElementScroll(element) {\n  return {\n    scrollLeft: element.scrollLeft,\n    scrollTop: element.scrollTop\n  };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n  var map = new Map();\n  var visited = new Set();\n  var result = [];\n  modifiers.forEach(function (modifier) {\n    map.set(modifier.name, modifier);\n  }); // On visiting object, check for its dependencies and visit them recursively\n\n  function sort(modifier) {\n    visited.add(modifier.name);\n    var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n    requires.forEach(function (dep) {\n      if (!visited.has(dep)) {\n        var depModifier = map.get(dep);\n\n        if (depModifier) {\n          sort(depModifier);\n        }\n      }\n    });\n    result.push(modifier);\n  }\n\n  modifiers.forEach(function (modifier) {\n    if (!visited.has(modifier.name)) {\n      // check for visited object\n      sort(modifier);\n    }\n  });\n  return result;\n}\n\nexport default function orderModifiers(modifiers) {\n  // order based on dependencies\n  var orderedModifiers = order(modifiers); // order based on phase\n\n  return modifierPhases.reduce(function (acc, phase) {\n    return acc.concat(orderedModifiers.filter(function (modifier) {\n      return modifier.phase === phase;\n    }));\n  }, []);\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nvar DEFAULT_OPTIONS = {\n  placement: 'bottom',\n  modifiers: [],\n  strategy: 'absolute'\n};\n\nfunction areValidElements() {\n  for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n    args[_key] = arguments[_key];\n  }\n\n  return !args.some(function (element) {\n    return !(element && typeof element.getBoundingClientRect === 'function');\n  });\n}\n\nexport function popperGenerator(generatorOptions) {\n  if (generatorOptions === void 0) {\n    generatorOptions = {};\n  }\n\n  var _generatorOptions = generatorOptions,\n      _generatorOptions$def = _generatorOptions.defaultModifiers,\n      defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n      _generatorOptions$def2 = _generatorOptions.defaultOptions,\n      defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n  return function createPopper(reference, popper, options) {\n    if (options === void 0) {\n      options = defaultOptions;\n    }\n\n    var state = {\n      placement: 'bottom',\n      orderedModifiers: [],\n      options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n      modifiersData: {},\n      elements: {\n        reference: reference,\n        popper: popper\n      },\n      attributes: {},\n      styles: {}\n    };\n    var effectCleanupFns = [];\n    var isDestroyed = false;\n    var instance = {\n      state: state,\n      setOptions: function setOptions(setOptionsAction) {\n        var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n        cleanupModifierEffects();\n        state.options = Object.assign({}, defaultOptions, state.options, options);\n        state.scrollParents = {\n          reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n          popper: listScrollParents(popper)\n        }; // Orders the modifiers based on their dependencies and `phase`\n        // properties\n\n        var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n        state.orderedModifiers = orderedModifiers.filter(function (m) {\n          return m.enabled;\n        });\n        runModifierEffects();\n        return instance.update();\n      },\n      // Sync update – it will always be executed, even if not necessary. This\n      // is useful for low frequency updates where sync behavior simplifies the\n      // logic.\n      // For high frequency updates (e.g. `resize` and `scroll` events), always\n      // prefer the async Popper#update method\n      forceUpdate: function forceUpdate() {\n        if (isDestroyed) {\n          return;\n        }\n\n        var _state$elements = state.elements,\n            reference = _state$elements.reference,\n            popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n        // anymore\n\n        if (!areValidElements(reference, popper)) {\n          return;\n        } // Store the reference and popper rects to be read by modifiers\n\n\n        state.rects = {\n          reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n          popper: getLayoutRect(popper)\n        }; // Modifiers have the ability to reset the current update cycle. The\n        // most common use case for this is the `flip` modifier changing the\n        // placement, which then needs to re-run all the modifiers, because the\n        // logic was previously ran for the previous placement and is therefore\n        // stale/incorrect\n\n        state.reset = false;\n        state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n        // is filled with the initial data specified by the modifier. This means\n        // it doesn't persist and is fresh on each update.\n        // To ensure persistent data, use `${name}#persistent`\n\n        state.orderedModifiers.forEach(function (modifier) {\n          return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n        });\n\n        for (var index = 0; index < state.orderedModifiers.length; index++) {\n          if (state.reset === true) {\n            state.reset = false;\n            index = -1;\n            continue;\n          }\n\n          var _state$orderedModifie = state.orderedModifiers[index],\n              fn = _state$orderedModifie.fn,\n              _state$orderedModifie2 = _state$orderedModifie.options,\n              _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n              name = _state$orderedModifie.name;\n\n          if (typeof fn === 'function') {\n            state = fn({\n              state: state,\n              options: _options,\n              name: name,\n              instance: instance\n            }) || state;\n          }\n        }\n      },\n      // Async and optimistically optimized update – it will not be executed if\n      // not necessary (debounced to run at most once-per-tick)\n      update: debounce(function () {\n        return new Promise(function (resolve) {\n          instance.forceUpdate();\n          resolve(state);\n        });\n      }),\n      destroy: function destroy() {\n        cleanupModifierEffects();\n        isDestroyed = true;\n      }\n    };\n\n    if (!areValidElements(reference, popper)) {\n      return instance;\n    }\n\n    instance.setOptions(options).then(function (state) {\n      if (!isDestroyed && options.onFirstUpdate) {\n        options.onFirstUpdate(state);\n      }\n    }); // Modifiers have the ability to execute arbitrary code before the first\n    // update cycle runs. They will be executed in the same order as the update\n    // cycle. This is useful when a modifier adds some persistent data that\n    // other modifiers need to use, but the modifier is run after the dependent\n    // one.\n\n    function runModifierEffects() {\n      state.orderedModifiers.forEach(function (_ref) {\n        var name = _ref.name,\n            _ref$options = _ref.options,\n            options = _ref$options === void 0 ? {} : _ref$options,\n            effect = _ref.effect;\n\n        if (typeof effect === 'function') {\n          var cleanupFn = effect({\n            state: state,\n            name: name,\n            instance: instance,\n            options: options\n          });\n\n          var noopFn = function noopFn() {};\n\n          effectCleanupFns.push(cleanupFn || noopFn);\n        }\n      });\n    }\n\n    function cleanupModifierEffects() {\n      effectCleanupFns.forEach(function (fn) {\n        return fn();\n      });\n      effectCleanupFns = [];\n    }\n\n    return instance;\n  };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n  var pending;\n  return function () {\n    if (!pending) {\n      pending = new Promise(function (resolve) {\n        Promise.resolve().then(function () {\n          pending = undefined;\n          resolve(fn());\n        });\n      });\n    }\n\n    return pending;\n  };\n}","export default function mergeByName(modifiers) {\n  var merged = modifiers.reduce(function (merged, current) {\n    var existing = merged[current.name];\n    merged[current.name] = existing ? Object.assign({}, existing, current, {\n      options: Object.assign({}, existing.options, current.options),\n      data: Object.assign({}, existing.data, current.data)\n    }) : current;\n    return merged;\n  }, {}); // IE11 does not support Object.values\n\n  return Object.keys(merged).map(function (key) {\n    return merged[key];\n  });\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","/*!\n  * Bootstrap v5.3.3 (https://getbootstrap.com/)\n  * Copyright 2011-2024 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)\n  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n  */\nimport * as Popper from '@popperjs/core';\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/data.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n/**\n * Constants\n */\n\nconst elementMap = new Map();\nconst Data = {\n  set(element, key, instance) {\n    if (!elementMap.has(element)) {\n      elementMap.set(element, new Map());\n    }\n    const instanceMap = elementMap.get(element);\n\n    // make it clear we only want one instance per element\n    // can be removed later when multiple key/instances are fine to be used\n    if (!instanceMap.has(key) && instanceMap.size !== 0) {\n      // eslint-disable-next-line no-console\n      console.error(`Bootstrap doesn't allow more than one instance per element. Bound instance: ${Array.from(instanceMap.keys())[0]}.`);\n      return;\n    }\n    instanceMap.set(key, instance);\n  },\n  get(element, key) {\n    if (elementMap.has(element)) {\n      return elementMap.get(element).get(key) || null;\n    }\n    return null;\n  },\n  remove(element, key) {\n    if (!elementMap.has(element)) {\n      return;\n    }\n    const instanceMap = elementMap.get(element);\n    instanceMap.delete(key);\n\n    // free up element references if there are no instances left for an element\n    if (instanceMap.size === 0) {\n      elementMap.delete(element);\n    }\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/index.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst MAX_UID = 1000000;\nconst MILLISECONDS_MULTIPLIER = 1000;\nconst TRANSITION_END = 'transitionend';\n\n/**\n * Properly escape IDs selectors to handle weird IDs\n * @param {string} selector\n * @returns {string}\n */\nconst parseSelector = selector => {\n  if (selector && window.CSS && window.CSS.escape) {\n    // document.querySelector needs escaping to handle IDs (html5+) containing for instance /\n    selector = selector.replace(/#([^\\s\"#']+)/g, (match, id) => `#${CSS.escape(id)}`);\n  }\n  return selector;\n};\n\n// Shout-out Angus Croll (https://goo.gl/pxwQGp)\nconst toType = object => {\n  if (object === null || object === undefined) {\n    return `${object}`;\n  }\n  return Object.prototype.toString.call(object).match(/\\s([a-z]+)/i)[1].toLowerCase();\n};\n\n/**\n * Public Util API\n */\n\nconst getUID = prefix => {\n  do {\n    prefix += Math.floor(Math.random() * MAX_UID);\n  } while (document.getElementById(prefix));\n  return prefix;\n};\nconst getTransitionDurationFromElement = element => {\n  if (!element) {\n    return 0;\n  }\n\n  // Get transition-duration of the element\n  let {\n    transitionDuration,\n    transitionDelay\n  } = window.getComputedStyle(element);\n  const floatTransitionDuration = Number.parseFloat(transitionDuration);\n  const floatTransitionDelay = Number.parseFloat(transitionDelay);\n\n  // Return 0 if element or transition duration is not found\n  if (!floatTransitionDuration && !floatTransitionDelay) {\n    return 0;\n  }\n\n  // If multiple durations are defined, take the first\n  transitionDuration = transitionDuration.split(',')[0];\n  transitionDelay = transitionDelay.split(',')[0];\n  return (Number.parseFloat(transitionDuration) + Number.parseFloat(transitionDelay)) * MILLISECONDS_MULTIPLIER;\n};\nconst triggerTransitionEnd = element => {\n  element.dispatchEvent(new Event(TRANSITION_END));\n};\nconst isElement = object => {\n  if (!object || typeof object !== 'object') {\n    return false;\n  }\n  if (typeof object.jquery !== 'undefined') {\n    object = object[0];\n  }\n  return typeof object.nodeType !== 'undefined';\n};\nconst getElement = object => {\n  // it's a jQuery object or a node element\n  if (isElement(object)) {\n    return object.jquery ? object[0] : object;\n  }\n  if (typeof object === 'string' && object.length > 0) {\n    return document.querySelector(parseSelector(object));\n  }\n  return null;\n};\nconst isVisible = element => {\n  if (!isElement(element) || element.getClientRects().length === 0) {\n    return false;\n  }\n  const elementIsVisible = getComputedStyle(element).getPropertyValue('visibility') === 'visible';\n  // Handle `details` element as its content may falsie appear visible when it is closed\n  const closedDetails = element.closest('details:not([open])');\n  if (!closedDetails) {\n    return elementIsVisible;\n  }\n  if (closedDetails !== element) {\n    const summary = element.closest('summary');\n    if (summary && summary.parentNode !== closedDetails) {\n      return false;\n    }\n    if (summary === null) {\n      return false;\n    }\n  }\n  return elementIsVisible;\n};\nconst isDisabled = element => {\n  if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n    return true;\n  }\n  if (element.classList.contains('disabled')) {\n    return true;\n  }\n  if (typeof element.disabled !== 'undefined') {\n    return element.disabled;\n  }\n  return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false';\n};\nconst findShadowRoot = element => {\n  if (!document.documentElement.attachShadow) {\n    return null;\n  }\n\n  // Can find the shadow root otherwise it'll return the document\n  if (typeof element.getRootNode === 'function') {\n    const root = element.getRootNode();\n    return root instanceof ShadowRoot ? root : null;\n  }\n  if (element instanceof ShadowRoot) {\n    return element;\n  }\n\n  // when we don't find a shadow root\n  if (!element.parentNode) {\n    return null;\n  }\n  return findShadowRoot(element.parentNode);\n};\nconst noop = () => {};\n\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\nconst reflow = element => {\n  element.offsetHeight; // eslint-disable-line no-unused-expressions\n};\nconst getjQuery = () => {\n  if (window.jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n    return window.jQuery;\n  }\n  return null;\n};\nconst DOMContentLoadedCallbacks = [];\nconst onDOMContentLoaded = callback => {\n  if (document.readyState === 'loading') {\n    // add listener on the first call when the document is in loading state\n    if (!DOMContentLoadedCallbacks.length) {\n      document.addEventListener('DOMContentLoaded', () => {\n        for (const callback of DOMContentLoadedCallbacks) {\n          callback();\n        }\n      });\n    }\n    DOMContentLoadedCallbacks.push(callback);\n  } else {\n    callback();\n  }\n};\nconst isRTL = () => document.documentElement.dir === 'rtl';\nconst defineJQueryPlugin = plugin => {\n  onDOMContentLoaded(() => {\n    const $ = getjQuery();\n    /* istanbul ignore if */\n    if ($) {\n      const name = plugin.NAME;\n      const JQUERY_NO_CONFLICT = $.fn[name];\n      $.fn[name] = plugin.jQueryInterface;\n      $.fn[name].Constructor = plugin;\n      $.fn[name].noConflict = () => {\n        $.fn[name] = JQUERY_NO_CONFLICT;\n        return plugin.jQueryInterface;\n      };\n    }\n  });\n};\nconst execute = (possibleCallback, args = [], defaultValue = possibleCallback) => {\n  return typeof possibleCallback === 'function' ? possibleCallback(...args) : defaultValue;\n};\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n  if (!waitForTransition) {\n    execute(callback);\n    return;\n  }\n  const durationPadding = 5;\n  const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding;\n  let called = false;\n  const handler = ({\n    target\n  }) => {\n    if (target !== transitionElement) {\n      return;\n    }\n    called = true;\n    transitionElement.removeEventListener(TRANSITION_END, handler);\n    execute(callback);\n  };\n  transitionElement.addEventListener(TRANSITION_END, handler);\n  setTimeout(() => {\n    if (!called) {\n      triggerTransitionEnd(transitionElement);\n    }\n  }, emulatedDuration);\n};\n\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list    The list of elements\n * @param activeElement   The active element\n * @param shouldGetNext   Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n  const listLength = list.length;\n  let index = list.indexOf(activeElement);\n\n  // if the element does not exist in the list return an element\n  // depending on the direction and if cycle is allowed\n  if (index === -1) {\n    return !shouldGetNext && isCycleAllowed ? list[listLength - 1] : list[0];\n  }\n  index += shouldGetNext ? 1 : -1;\n  if (isCycleAllowed) {\n    index = (index + listLength) % listLength;\n  }\n  return list[Math.max(0, Math.min(index, listLength - 1))];\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/;\nconst stripNameRegex = /\\..*/;\nconst stripUidRegex = /::\\d+$/;\nconst eventRegistry = {}; // Events storage\nlet uidEvent = 1;\nconst customEvents = {\n  mouseenter: 'mouseover',\n  mouseleave: 'mouseout'\n};\nconst nativeEvents = new Set(['click', 'dblclick', 'mouseup', 'mousedown', 'contextmenu', 'mousewheel', 'DOMMouseScroll', 'mouseover', 'mouseout', 'mousemove', 'selectstart', 'selectend', 'keydown', 'keypress', 'keyup', 'orientationchange', 'touchstart', 'touchmove', 'touchend', 'touchcancel', 'pointerdown', 'pointermove', 'pointerup', 'pointerleave', 'pointercancel', 'gesturestart', 'gesturechange', 'gestureend', 'focus', 'blur', 'change', 'reset', 'select', 'submit', 'focusin', 'focusout', 'load', 'unload', 'beforeunload', 'resize', 'move', 'DOMContentLoaded', 'readystatechange', 'error', 'abort', 'scroll']);\n\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n  return uid && `${uid}::${uidEvent++}` || element.uidEvent || uidEvent++;\n}\nfunction getElementEvents(element) {\n  const uid = makeEventUid(element);\n  element.uidEvent = uid;\n  eventRegistry[uid] = eventRegistry[uid] || {};\n  return eventRegistry[uid];\n}\nfunction bootstrapHandler(element, fn) {\n  return function handler(event) {\n    hydrateObj(event, {\n      delegateTarget: element\n    });\n    if (handler.oneOff) {\n      EventHandler.off(element, event.type, fn);\n    }\n    return fn.apply(element, [event]);\n  };\n}\nfunction bootstrapDelegationHandler(element, selector, fn) {\n  return function handler(event) {\n    const domElements = element.querySelectorAll(selector);\n    for (let {\n      target\n    } = event; target && target !== this; target = target.parentNode) {\n      for (const domElement of domElements) {\n        if (domElement !== target) {\n          continue;\n        }\n        hydrateObj(event, {\n          delegateTarget: target\n        });\n        if (handler.oneOff) {\n          EventHandler.off(element, event.type, selector, fn);\n        }\n        return fn.apply(target, [event]);\n      }\n    }\n  };\n}\nfunction findHandler(events, callable, delegationSelector = null) {\n  return Object.values(events).find(event => event.callable === callable && event.delegationSelector === delegationSelector);\n}\nfunction normalizeParameters(originalTypeEvent, handler, delegationFunction) {\n  const isDelegated = typeof handler === 'string';\n  // TODO: tooltip passes `false` instead of selector, so we need to check\n  const callable = isDelegated ? delegationFunction : handler || delegationFunction;\n  let typeEvent = getTypeEvent(originalTypeEvent);\n  if (!nativeEvents.has(typeEvent)) {\n    typeEvent = originalTypeEvent;\n  }\n  return [isDelegated, callable, typeEvent];\n}\nfunction addHandler(element, originalTypeEvent, handler, delegationFunction, oneOff) {\n  if (typeof originalTypeEvent !== 'string' || !element) {\n    return;\n  }\n  let [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n\n  // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n  // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n  if (originalTypeEvent in customEvents) {\n    const wrapFunction = fn => {\n      return function (event) {\n        if (!event.relatedTarget || event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget)) {\n          return fn.call(this, event);\n        }\n      };\n    };\n    callable = wrapFunction(callable);\n  }\n  const events = getElementEvents(element);\n  const handlers = events[typeEvent] || (events[typeEvent] = {});\n  const previousFunction = findHandler(handlers, callable, isDelegated ? handler : null);\n  if (previousFunction) {\n    previousFunction.oneOff = previousFunction.oneOff && oneOff;\n    return;\n  }\n  const uid = makeEventUid(callable, originalTypeEvent.replace(namespaceRegex, ''));\n  const fn = isDelegated ? bootstrapDelegationHandler(element, handler, callable) : bootstrapHandler(element, callable);\n  fn.delegationSelector = isDelegated ? handler : null;\n  fn.callable = callable;\n  fn.oneOff = oneOff;\n  fn.uidEvent = uid;\n  handlers[uid] = fn;\n  element.addEventListener(typeEvent, fn, isDelegated);\n}\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n  const fn = findHandler(events[typeEvent], handler, delegationSelector);\n  if (!fn) {\n    return;\n  }\n  element.removeEventListener(typeEvent, fn, Boolean(delegationSelector));\n  delete events[typeEvent][fn.uidEvent];\n}\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n  const storeElementEvent = events[typeEvent] || {};\n  for (const [handlerKey, event] of Object.entries(storeElementEvent)) {\n    if (handlerKey.includes(namespace)) {\n      removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n    }\n  }\n}\nfunction getTypeEvent(event) {\n  // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n  event = event.replace(stripNameRegex, '');\n  return customEvents[event] || event;\n}\nconst EventHandler = {\n  on(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, false);\n  },\n  one(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, true);\n  },\n  off(element, originalTypeEvent, handler, delegationFunction) {\n    if (typeof originalTypeEvent !== 'string' || !element) {\n      return;\n    }\n    const [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n    const inNamespace = typeEvent !== originalTypeEvent;\n    const events = getElementEvents(element);\n    const storeElementEvent = events[typeEvent] || {};\n    const isNamespace = originalTypeEvent.startsWith('.');\n    if (typeof callable !== 'undefined') {\n      // Simplest case: handler is passed, remove that listener ONLY.\n      if (!Object.keys(storeElementEvent).length) {\n        return;\n      }\n      removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null);\n      return;\n    }\n    if (isNamespace) {\n      for (const elementEvent of Object.keys(events)) {\n        removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1));\n      }\n    }\n    for (const [keyHandlers, event] of Object.entries(storeElementEvent)) {\n      const handlerKey = keyHandlers.replace(stripUidRegex, '');\n      if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n        removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n      }\n    }\n  },\n  trigger(element, event, args) {\n    if (typeof event !== 'string' || !element) {\n      return null;\n    }\n    const $ = getjQuery();\n    const typeEvent = getTypeEvent(event);\n    const inNamespace = event !== typeEvent;\n    let jQueryEvent = null;\n    let bubbles = true;\n    let nativeDispatch = true;\n    let defaultPrevented = false;\n    if (inNamespace && $) {\n      jQueryEvent = $.Event(event, args);\n      $(element).trigger(jQueryEvent);\n      bubbles = !jQueryEvent.isPropagationStopped();\n      nativeDispatch = !jQueryEvent.isImmediatePropagationStopped();\n      defaultPrevented = jQueryEvent.isDefaultPrevented();\n    }\n    const evt = hydrateObj(new Event(event, {\n      bubbles,\n      cancelable: true\n    }), args);\n    if (defaultPrevented) {\n      evt.preventDefault();\n    }\n    if (nativeDispatch) {\n      element.dispatchEvent(evt);\n    }\n    if (evt.defaultPrevented && jQueryEvent) {\n      jQueryEvent.preventDefault();\n    }\n    return evt;\n  }\n};\nfunction hydrateObj(obj, meta = {}) {\n  for (const [key, value] of Object.entries(meta)) {\n    try {\n      obj[key] = value;\n    } catch (_unused) {\n      Object.defineProperty(obj, key, {\n        configurable: true,\n        get() {\n          return value;\n        }\n      });\n    }\n  }\n  return obj;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nfunction normalizeData(value) {\n  if (value === 'true') {\n    return true;\n  }\n  if (value === 'false') {\n    return false;\n  }\n  if (value === Number(value).toString()) {\n    return Number(value);\n  }\n  if (value === '' || value === 'null') {\n    return null;\n  }\n  if (typeof value !== 'string') {\n    return value;\n  }\n  try {\n    return JSON.parse(decodeURIComponent(value));\n  } catch (_unused) {\n    return value;\n  }\n}\nfunction normalizeDataKey(key) {\n  return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`);\n}\nconst Manipulator = {\n  setDataAttribute(element, key, value) {\n    element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value);\n  },\n  removeDataAttribute(element, key) {\n    element.removeAttribute(`data-bs-${normalizeDataKey(key)}`);\n  },\n  getDataAttributes(element) {\n    if (!element) {\n      return {};\n    }\n    const attributes = {};\n    const bsKeys = Object.keys(element.dataset).filter(key => key.startsWith('bs') && !key.startsWith('bsConfig'));\n    for (const key of bsKeys) {\n      let pureKey = key.replace(/^bs/, '');\n      pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length);\n      attributes[pureKey] = normalizeData(element.dataset[key]);\n    }\n    return attributes;\n  },\n  getDataAttribute(element, key) {\n    return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`));\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/config.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Class definition\n */\n\nclass Config {\n  // Getters\n  static get Default() {\n    return {};\n  }\n  static get DefaultType() {\n    return {};\n  }\n  static get NAME() {\n    throw new Error('You have to implement the static method \"NAME\", for each component!');\n  }\n  _getConfig(config) {\n    config = this._mergeConfigObj(config);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n  _configAfterMerge(config) {\n    return config;\n  }\n  _mergeConfigObj(config, element) {\n    const jsonConfig = isElement(element) ? Manipulator.getDataAttribute(element, 'config') : {}; // try to parse\n\n    return {\n      ...this.constructor.Default,\n      ...(typeof jsonConfig === 'object' ? jsonConfig : {}),\n      ...(isElement(element) ? Manipulator.getDataAttributes(element) : {}),\n      ...(typeof config === 'object' ? config : {})\n    };\n  }\n  _typeCheckConfig(config, configTypes = this.constructor.DefaultType) {\n    for (const [property, expectedTypes] of Object.entries(configTypes)) {\n      const value = config[property];\n      const valueType = isElement(value) ? 'element' : toType(value);\n      if (!new RegExp(expectedTypes).test(valueType)) {\n        throw new TypeError(`${this.constructor.NAME.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`);\n      }\n    }\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst VERSION = '5.3.3';\n\n/**\n * Class definition\n */\n\nclass BaseComponent extends Config {\n  constructor(element, config) {\n    super();\n    element = getElement(element);\n    if (!element) {\n      return;\n    }\n    this._element = element;\n    this._config = this._getConfig(config);\n    Data.set(this._element, this.constructor.DATA_KEY, this);\n  }\n\n  // Public\n  dispose() {\n    Data.remove(this._element, this.constructor.DATA_KEY);\n    EventHandler.off(this._element, this.constructor.EVENT_KEY);\n    for (const propertyName of Object.getOwnPropertyNames(this)) {\n      this[propertyName] = null;\n    }\n  }\n  _queueCallback(callback, element, isAnimated = true) {\n    executeAfterTransition(callback, element, isAnimated);\n  }\n  _getConfig(config) {\n    config = this._mergeConfigObj(config, this._element);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n\n  // Static\n  static getInstance(element) {\n    return Data.get(getElement(element), this.DATA_KEY);\n  }\n  static getOrCreateInstance(element, config = {}) {\n    return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null);\n  }\n  static get VERSION() {\n    return VERSION;\n  }\n  static get DATA_KEY() {\n    return `bs.${this.NAME}`;\n  }\n  static get EVENT_KEY() {\n    return `.${this.DATA_KEY}`;\n  }\n  static eventName(name) {\n    return `${name}${this.EVENT_KEY}`;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst getSelector = element => {\n  let selector = element.getAttribute('data-bs-target');\n  if (!selector || selector === '#') {\n    let hrefAttribute = element.getAttribute('href');\n\n    // The only valid content that could double as a selector are IDs or classes,\n    // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n    // `document.querySelector` will rightfully complain it is invalid.\n    // See https://github.com/twbs/bootstrap/issues/32273\n    if (!hrefAttribute || !hrefAttribute.includes('#') && !hrefAttribute.startsWith('.')) {\n      return null;\n    }\n\n    // Just in case some CMS puts out a full URL with the anchor appended\n    if (hrefAttribute.includes('#') && !hrefAttribute.startsWith('#')) {\n      hrefAttribute = `#${hrefAttribute.split('#')[1]}`;\n    }\n    selector = hrefAttribute && hrefAttribute !== '#' ? hrefAttribute.trim() : null;\n  }\n  return selector ? selector.split(',').map(sel => parseSelector(sel)).join(',') : null;\n};\nconst SelectorEngine = {\n  find(selector, element = document.documentElement) {\n    return [].concat(...Element.prototype.querySelectorAll.call(element, selector));\n  },\n  findOne(selector, element = document.documentElement) {\n    return Element.prototype.querySelector.call(element, selector);\n  },\n  children(element, selector) {\n    return [].concat(...element.children).filter(child => child.matches(selector));\n  },\n  parents(element, selector) {\n    const parents = [];\n    let ancestor = element.parentNode.closest(selector);\n    while (ancestor) {\n      parents.push(ancestor);\n      ancestor = ancestor.parentNode.closest(selector);\n    }\n    return parents;\n  },\n  prev(element, selector) {\n    let previous = element.previousElementSibling;\n    while (previous) {\n      if (previous.matches(selector)) {\n        return [previous];\n      }\n      previous = previous.previousElementSibling;\n    }\n    return [];\n  },\n  // TODO: this is now unused; remove later along with prev()\n  next(element, selector) {\n    let next = element.nextElementSibling;\n    while (next) {\n      if (next.matches(selector)) {\n        return [next];\n      }\n      next = next.nextElementSibling;\n    }\n    return [];\n  },\n  focusableChildren(element) {\n    const focusables = ['a', 'button', 'input', 'textarea', 'select', 'details', '[tabindex]', '[contenteditable=\"true\"]'].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(',');\n    return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el));\n  },\n  getSelectorFromElement(element) {\n    const selector = getSelector(element);\n    if (selector) {\n      return SelectorEngine.findOne(selector) ? selector : null;\n    }\n    return null;\n  },\n  getElementFromSelector(element) {\n    const selector = getSelector(element);\n    return selector ? SelectorEngine.findOne(selector) : null;\n  },\n  getMultipleElementsFromSelector(element) {\n    const selector = getSelector(element);\n    return selector ? SelectorEngine.find(selector) : [];\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n  const clickEvent = `click.dismiss${component.EVENT_KEY}`;\n  const name = component.NAME;\n  EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n    if (['A', 'AREA'].includes(this.tagName)) {\n      event.preventDefault();\n    }\n    if (isDisabled(this)) {\n      return;\n    }\n    const target = SelectorEngine.getElementFromSelector(this) || this.closest(`.${name}`);\n    const instance = component.getOrCreateInstance(target);\n\n    // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n    instance[method]();\n  });\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$f = 'alert';\nconst DATA_KEY$a = 'bs.alert';\nconst EVENT_KEY$b = `.${DATA_KEY$a}`;\nconst EVENT_CLOSE = `close${EVENT_KEY$b}`;\nconst EVENT_CLOSED = `closed${EVENT_KEY$b}`;\nconst CLASS_NAME_FADE$5 = 'fade';\nconst CLASS_NAME_SHOW$8 = 'show';\n\n/**\n * Class definition\n */\n\nclass Alert extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME$f;\n  }\n\n  // Public\n  close() {\n    const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE);\n    if (closeEvent.defaultPrevented) {\n      return;\n    }\n    this._element.classList.remove(CLASS_NAME_SHOW$8);\n    const isAnimated = this._element.classList.contains(CLASS_NAME_FADE$5);\n    this._queueCallback(() => this._destroyElement(), this._element, isAnimated);\n  }\n\n  // Private\n  _destroyElement() {\n    this._element.remove();\n    EventHandler.trigger(this._element, EVENT_CLOSED);\n    this.dispose();\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Alert.getOrCreateInstance(this);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](this);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Alert, 'close');\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Alert);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$e = 'button';\nconst DATA_KEY$9 = 'bs.button';\nconst EVENT_KEY$a = `.${DATA_KEY$9}`;\nconst DATA_API_KEY$6 = '.data-api';\nconst CLASS_NAME_ACTIVE$3 = 'active';\nconst SELECTOR_DATA_TOGGLE$5 = '[data-bs-toggle=\"button\"]';\nconst EVENT_CLICK_DATA_API$6 = `click${EVENT_KEY$a}${DATA_API_KEY$6}`;\n\n/**\n * Class definition\n */\n\nclass Button extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME$e;\n  }\n\n  // Public\n  toggle() {\n    // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n    this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE$3));\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Button.getOrCreateInstance(this);\n      if (config === 'toggle') {\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$6, SELECTOR_DATA_TOGGLE$5, event => {\n  event.preventDefault();\n  const button = event.target.closest(SELECTOR_DATA_TOGGLE$5);\n  const data = Button.getOrCreateInstance(button);\n  data.toggle();\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Button);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/swipe.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$d = 'swipe';\nconst EVENT_KEY$9 = '.bs.swipe';\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY$9}`;\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY$9}`;\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY$9}`;\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY$9}`;\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY$9}`;\nconst POINTER_TYPE_TOUCH = 'touch';\nconst POINTER_TYPE_PEN = 'pen';\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event';\nconst SWIPE_THRESHOLD = 40;\nconst Default$c = {\n  endCallback: null,\n  leftCallback: null,\n  rightCallback: null\n};\nconst DefaultType$c = {\n  endCallback: '(function|null)',\n  leftCallback: '(function|null)',\n  rightCallback: '(function|null)'\n};\n\n/**\n * Class definition\n */\n\nclass Swipe extends Config {\n  constructor(element, config) {\n    super();\n    this._element = element;\n    if (!element || !Swipe.isSupported()) {\n      return;\n    }\n    this._config = this._getConfig(config);\n    this._deltaX = 0;\n    this._supportPointerEvents = Boolean(window.PointerEvent);\n    this._initEvents();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$c;\n  }\n  static get DefaultType() {\n    return DefaultType$c;\n  }\n  static get NAME() {\n    return NAME$d;\n  }\n\n  // Public\n  dispose() {\n    EventHandler.off(this._element, EVENT_KEY$9);\n  }\n\n  // Private\n  _start(event) {\n    if (!this._supportPointerEvents) {\n      this._deltaX = event.touches[0].clientX;\n      return;\n    }\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX;\n    }\n  }\n  _end(event) {\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX - this._deltaX;\n    }\n    this._handleSwipe();\n    execute(this._config.endCallback);\n  }\n  _move(event) {\n    this._deltaX = event.touches && event.touches.length > 1 ? 0 : event.touches[0].clientX - this._deltaX;\n  }\n  _handleSwipe() {\n    const absDeltaX = Math.abs(this._deltaX);\n    if (absDeltaX <= SWIPE_THRESHOLD) {\n      return;\n    }\n    const direction = absDeltaX / this._deltaX;\n    this._deltaX = 0;\n    if (!direction) {\n      return;\n    }\n    execute(direction > 0 ? this._config.rightCallback : this._config.leftCallback);\n  }\n  _initEvents() {\n    if (this._supportPointerEvents) {\n      EventHandler.on(this._element, EVENT_POINTERDOWN, event => this._start(event));\n      EventHandler.on(this._element, EVENT_POINTERUP, event => this._end(event));\n      this._element.classList.add(CLASS_NAME_POINTER_EVENT);\n    } else {\n      EventHandler.on(this._element, EVENT_TOUCHSTART, event => this._start(event));\n      EventHandler.on(this._element, EVENT_TOUCHMOVE, event => this._move(event));\n      EventHandler.on(this._element, EVENT_TOUCHEND, event => this._end(event));\n    }\n  }\n  _eventIsPointerPenTouch(event) {\n    return this._supportPointerEvents && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH);\n  }\n\n  // Static\n  static isSupported() {\n    return 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$c = 'carousel';\nconst DATA_KEY$8 = 'bs.carousel';\nconst EVENT_KEY$8 = `.${DATA_KEY$8}`;\nconst DATA_API_KEY$5 = '.data-api';\nconst ARROW_LEFT_KEY$1 = 'ArrowLeft';\nconst ARROW_RIGHT_KEY$1 = 'ArrowRight';\nconst TOUCHEVENT_COMPAT_WAIT = 500; // Time for mouse compat events to fire after touch\n\nconst ORDER_NEXT = 'next';\nconst ORDER_PREV = 'prev';\nconst DIRECTION_LEFT = 'left';\nconst DIRECTION_RIGHT = 'right';\nconst EVENT_SLIDE = `slide${EVENT_KEY$8}`;\nconst EVENT_SLID = `slid${EVENT_KEY$8}`;\nconst EVENT_KEYDOWN$1 = `keydown${EVENT_KEY$8}`;\nconst EVENT_MOUSEENTER$1 = `mouseenter${EVENT_KEY$8}`;\nconst EVENT_MOUSELEAVE$1 = `mouseleave${EVENT_KEY$8}`;\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY$8}`;\nconst EVENT_LOAD_DATA_API$3 = `load${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst EVENT_CLICK_DATA_API$5 = `click${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst CLASS_NAME_CAROUSEL = 'carousel';\nconst CLASS_NAME_ACTIVE$2 = 'active';\nconst CLASS_NAME_SLIDE = 'slide';\nconst CLASS_NAME_END = 'carousel-item-end';\nconst CLASS_NAME_START = 'carousel-item-start';\nconst CLASS_NAME_NEXT = 'carousel-item-next';\nconst CLASS_NAME_PREV = 'carousel-item-prev';\nconst SELECTOR_ACTIVE = '.active';\nconst SELECTOR_ITEM = '.carousel-item';\nconst SELECTOR_ACTIVE_ITEM = SELECTOR_ACTIVE + SELECTOR_ITEM;\nconst SELECTOR_ITEM_IMG = '.carousel-item img';\nconst SELECTOR_INDICATORS = '.carousel-indicators';\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]';\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]';\nconst KEY_TO_DIRECTION = {\n  [ARROW_LEFT_KEY$1]: DIRECTION_RIGHT,\n  [ARROW_RIGHT_KEY$1]: DIRECTION_LEFT\n};\nconst Default$b = {\n  interval: 5000,\n  keyboard: true,\n  pause: 'hover',\n  ride: false,\n  touch: true,\n  wrap: true\n};\nconst DefaultType$b = {\n  interval: '(number|boolean)',\n  // TODO:v6 remove boolean support\n  keyboard: 'boolean',\n  pause: '(string|boolean)',\n  ride: '(boolean|string)',\n  touch: 'boolean',\n  wrap: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Carousel extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._interval = null;\n    this._activeElement = null;\n    this._isSliding = false;\n    this.touchTimeout = null;\n    this._swipeHelper = null;\n    this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element);\n    this._addEventListeners();\n    if (this._config.ride === CLASS_NAME_CAROUSEL) {\n      this.cycle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$b;\n  }\n  static get DefaultType() {\n    return DefaultType$b;\n  }\n  static get NAME() {\n    return NAME$c;\n  }\n\n  // Public\n  next() {\n    this._slide(ORDER_NEXT);\n  }\n  nextWhenVisible() {\n    // FIXME TODO use `document.visibilityState`\n    // Don't call next when the page isn't visible\n    // or the carousel or its parent isn't visible\n    if (!document.hidden && isVisible(this._element)) {\n      this.next();\n    }\n  }\n  prev() {\n    this._slide(ORDER_PREV);\n  }\n  pause() {\n    if (this._isSliding) {\n      triggerTransitionEnd(this._element);\n    }\n    this._clearInterval();\n  }\n  cycle() {\n    this._clearInterval();\n    this._updateInterval();\n    this._interval = setInterval(() => this.nextWhenVisible(), this._config.interval);\n  }\n  _maybeEnableCycle() {\n    if (!this._config.ride) {\n      return;\n    }\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.cycle());\n      return;\n    }\n    this.cycle();\n  }\n  to(index) {\n    const items = this._getItems();\n    if (index > items.length - 1 || index < 0) {\n      return;\n    }\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.to(index));\n      return;\n    }\n    const activeIndex = this._getItemIndex(this._getActive());\n    if (activeIndex === index) {\n      return;\n    }\n    const order = index > activeIndex ? ORDER_NEXT : ORDER_PREV;\n    this._slide(order, items[index]);\n  }\n  dispose() {\n    if (this._swipeHelper) {\n      this._swipeHelper.dispose();\n    }\n    super.dispose();\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.defaultInterval = config.interval;\n    return config;\n  }\n  _addEventListeners() {\n    if (this._config.keyboard) {\n      EventHandler.on(this._element, EVENT_KEYDOWN$1, event => this._keydown(event));\n    }\n    if (this._config.pause === 'hover') {\n      EventHandler.on(this._element, EVENT_MOUSEENTER$1, () => this.pause());\n      EventHandler.on(this._element, EVENT_MOUSELEAVE$1, () => this._maybeEnableCycle());\n    }\n    if (this._config.touch && Swipe.isSupported()) {\n      this._addTouchEventListeners();\n    }\n  }\n  _addTouchEventListeners() {\n    for (const img of SelectorEngine.find(SELECTOR_ITEM_IMG, this._element)) {\n      EventHandler.on(img, EVENT_DRAG_START, event => event.preventDefault());\n    }\n    const endCallBack = () => {\n      if (this._config.pause !== 'hover') {\n        return;\n      }\n\n      // If it's a touch-enabled device, mouseenter/leave are fired as\n      // part of the mouse compatibility events on first tap - the carousel\n      // would stop cycling until user tapped out of it;\n      // here, we listen for touchend, explicitly pause the carousel\n      // (as if it's the second time we tap on it, mouseenter compat event\n      // is NOT fired) and after a timeout (to allow for mouse compatibility\n      // events to fire) we explicitly restart cycling\n\n      this.pause();\n      if (this.touchTimeout) {\n        clearTimeout(this.touchTimeout);\n      }\n      this.touchTimeout = setTimeout(() => this._maybeEnableCycle(), TOUCHEVENT_COMPAT_WAIT + this._config.interval);\n    };\n    const swipeConfig = {\n      leftCallback: () => this._slide(this._directionToOrder(DIRECTION_LEFT)),\n      rightCallback: () => this._slide(this._directionToOrder(DIRECTION_RIGHT)),\n      endCallback: endCallBack\n    };\n    this._swipeHelper = new Swipe(this._element, swipeConfig);\n  }\n  _keydown(event) {\n    if (/input|textarea/i.test(event.target.tagName)) {\n      return;\n    }\n    const direction = KEY_TO_DIRECTION[event.key];\n    if (direction) {\n      event.preventDefault();\n      this._slide(this._directionToOrder(direction));\n    }\n  }\n  _getItemIndex(element) {\n    return this._getItems().indexOf(element);\n  }\n  _setActiveIndicatorElement(index) {\n    if (!this._indicatorsElement) {\n      return;\n    }\n    const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement);\n    activeIndicator.classList.remove(CLASS_NAME_ACTIVE$2);\n    activeIndicator.removeAttribute('aria-current');\n    const newActiveIndicator = SelectorEngine.findOne(`[data-bs-slide-to=\"${index}\"]`, this._indicatorsElement);\n    if (newActiveIndicator) {\n      newActiveIndicator.classList.add(CLASS_NAME_ACTIVE$2);\n      newActiveIndicator.setAttribute('aria-current', 'true');\n    }\n  }\n  _updateInterval() {\n    const element = this._activeElement || this._getActive();\n    if (!element) {\n      return;\n    }\n    const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10);\n    this._config.interval = elementInterval || this._config.defaultInterval;\n  }\n  _slide(order, element = null) {\n    if (this._isSliding) {\n      return;\n    }\n    const activeElement = this._getActive();\n    const isNext = order === ORDER_NEXT;\n    const nextElement = element || getNextActiveElement(this._getItems(), activeElement, isNext, this._config.wrap);\n    if (nextElement === activeElement) {\n      return;\n    }\n    const nextElementIndex = this._getItemIndex(nextElement);\n    const triggerEvent = eventName => {\n      return EventHandler.trigger(this._element, eventName, {\n        relatedTarget: nextElement,\n        direction: this._orderToDirection(order),\n        from: this._getItemIndex(activeElement),\n        to: nextElementIndex\n      });\n    };\n    const slideEvent = triggerEvent(EVENT_SLIDE);\n    if (slideEvent.defaultPrevented) {\n      return;\n    }\n    if (!activeElement || !nextElement) {\n      // Some weirdness is happening, so we bail\n      // TODO: change tests that use empty divs to avoid this check\n      return;\n    }\n    const isCycling = Boolean(this._interval);\n    this.pause();\n    this._isSliding = true;\n    this._setActiveIndicatorElement(nextElementIndex);\n    this._activeElement = nextElement;\n    const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END;\n    const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV;\n    nextElement.classList.add(orderClassName);\n    reflow(nextElement);\n    activeElement.classList.add(directionalClassName);\n    nextElement.classList.add(directionalClassName);\n    const completeCallBack = () => {\n      nextElement.classList.remove(directionalClassName, orderClassName);\n      nextElement.classList.add(CLASS_NAME_ACTIVE$2);\n      activeElement.classList.remove(CLASS_NAME_ACTIVE$2, orderClassName, directionalClassName);\n      this._isSliding = false;\n      triggerEvent(EVENT_SLID);\n    };\n    this._queueCallback(completeCallBack, activeElement, this._isAnimated());\n    if (isCycling) {\n      this.cycle();\n    }\n  }\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_SLIDE);\n  }\n  _getActive() {\n    return SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element);\n  }\n  _getItems() {\n    return SelectorEngine.find(SELECTOR_ITEM, this._element);\n  }\n  _clearInterval() {\n    if (this._interval) {\n      clearInterval(this._interval);\n      this._interval = null;\n    }\n  }\n  _directionToOrder(direction) {\n    if (isRTL()) {\n      return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT;\n    }\n    return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV;\n  }\n  _orderToDirection(order) {\n    if (isRTL()) {\n      return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT;\n    }\n    return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Carousel.getOrCreateInstance(this, config);\n      if (typeof config === 'number') {\n        data.to(config);\n        return;\n      }\n      if (typeof config === 'string') {\n        if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$5, SELECTOR_DATA_SLIDE, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n    return;\n  }\n  event.preventDefault();\n  const carousel = Carousel.getOrCreateInstance(target);\n  const slideIndex = this.getAttribute('data-bs-slide-to');\n  if (slideIndex) {\n    carousel.to(slideIndex);\n    carousel._maybeEnableCycle();\n    return;\n  }\n  if (Manipulator.getDataAttribute(this, 'slide') === 'next') {\n    carousel.next();\n    carousel._maybeEnableCycle();\n    return;\n  }\n  carousel.prev();\n  carousel._maybeEnableCycle();\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$3, () => {\n  const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE);\n  for (const carousel of carousels) {\n    Carousel.getOrCreateInstance(carousel);\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Carousel);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$b = 'collapse';\nconst DATA_KEY$7 = 'bs.collapse';\nconst EVENT_KEY$7 = `.${DATA_KEY$7}`;\nconst DATA_API_KEY$4 = '.data-api';\nconst EVENT_SHOW$6 = `show${EVENT_KEY$7}`;\nconst EVENT_SHOWN$6 = `shown${EVENT_KEY$7}`;\nconst EVENT_HIDE$6 = `hide${EVENT_KEY$7}`;\nconst EVENT_HIDDEN$6 = `hidden${EVENT_KEY$7}`;\nconst EVENT_CLICK_DATA_API$4 = `click${EVENT_KEY$7}${DATA_API_KEY$4}`;\nconst CLASS_NAME_SHOW$7 = 'show';\nconst CLASS_NAME_COLLAPSE = 'collapse';\nconst CLASS_NAME_COLLAPSING = 'collapsing';\nconst CLASS_NAME_COLLAPSED = 'collapsed';\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`;\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal';\nconst WIDTH = 'width';\nconst HEIGHT = 'height';\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing';\nconst SELECTOR_DATA_TOGGLE$4 = '[data-bs-toggle=\"collapse\"]';\nconst Default$a = {\n  parent: null,\n  toggle: true\n};\nconst DefaultType$a = {\n  parent: '(null|element)',\n  toggle: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Collapse extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._isTransitioning = false;\n    this._triggerArray = [];\n    const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE$4);\n    for (const elem of toggleList) {\n      const selector = SelectorEngine.getSelectorFromElement(elem);\n      const filterElement = SelectorEngine.find(selector).filter(foundElement => foundElement === this._element);\n      if (selector !== null && filterElement.length) {\n        this._triggerArray.push(elem);\n      }\n    }\n    this._initializeChildren();\n    if (!this._config.parent) {\n      this._addAriaAndCollapsedClass(this._triggerArray, this._isShown());\n    }\n    if (this._config.toggle) {\n      this.toggle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$a;\n  }\n  static get DefaultType() {\n    return DefaultType$a;\n  }\n  static get NAME() {\n    return NAME$b;\n  }\n\n  // Public\n  toggle() {\n    if (this._isShown()) {\n      this.hide();\n    } else {\n      this.show();\n    }\n  }\n  show() {\n    if (this._isTransitioning || this._isShown()) {\n      return;\n    }\n    let activeChildren = [];\n\n    // find active children\n    if (this._config.parent) {\n      activeChildren = this._getFirstLevelChildren(SELECTOR_ACTIVES).filter(element => element !== this._element).map(element => Collapse.getOrCreateInstance(element, {\n        toggle: false\n      }));\n    }\n    if (activeChildren.length && activeChildren[0]._isTransitioning) {\n      return;\n    }\n    const startEvent = EventHandler.trigger(this._element, EVENT_SHOW$6);\n    if (startEvent.defaultPrevented) {\n      return;\n    }\n    for (const activeInstance of activeChildren) {\n      activeInstance.hide();\n    }\n    const dimension = this._getDimension();\n    this._element.classList.remove(CLASS_NAME_COLLAPSE);\n    this._element.classList.add(CLASS_NAME_COLLAPSING);\n    this._element.style[dimension] = 0;\n    this._addAriaAndCollapsedClass(this._triggerArray, true);\n    this._isTransitioning = true;\n    const complete = () => {\n      this._isTransitioning = false;\n      this._element.classList.remove(CLASS_NAME_COLLAPSING);\n      this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n      this._element.style[dimension] = '';\n      EventHandler.trigger(this._element, EVENT_SHOWN$6);\n    };\n    const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1);\n    const scrollSize = `scroll${capitalizedDimension}`;\n    this._queueCallback(complete, this._element, true);\n    this._element.style[dimension] = `${this._element[scrollSize]}px`;\n  }\n  hide() {\n    if (this._isTransitioning || !this._isShown()) {\n      return;\n    }\n    const startEvent = EventHandler.trigger(this._element, EVENT_HIDE$6);\n    if (startEvent.defaultPrevented) {\n      return;\n    }\n    const dimension = this._getDimension();\n    this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`;\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_COLLAPSING);\n    this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n    for (const trigger of this._triggerArray) {\n      const element = SelectorEngine.getElementFromSelector(trigger);\n      if (element && !this._isShown(element)) {\n        this._addAriaAndCollapsedClass([trigger], false);\n      }\n    }\n    this._isTransitioning = true;\n    const complete = () => {\n      this._isTransitioning = false;\n      this._element.classList.remove(CLASS_NAME_COLLAPSING);\n      this._element.classList.add(CLASS_NAME_COLLAPSE);\n      EventHandler.trigger(this._element, EVENT_HIDDEN$6);\n    };\n    this._element.style[dimension] = '';\n    this._queueCallback(complete, this._element, true);\n  }\n  _isShown(element = this._element) {\n    return element.classList.contains(CLASS_NAME_SHOW$7);\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.toggle = Boolean(config.toggle); // Coerce string values\n    config.parent = getElement(config.parent);\n    return config;\n  }\n  _getDimension() {\n    return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT;\n  }\n  _initializeChildren() {\n    if (!this._config.parent) {\n      return;\n    }\n    const children = this._getFirstLevelChildren(SELECTOR_DATA_TOGGLE$4);\n    for (const element of children) {\n      const selected = SelectorEngine.getElementFromSelector(element);\n      if (selected) {\n        this._addAriaAndCollapsedClass([element], this._isShown(selected));\n      }\n    }\n  }\n  _getFirstLevelChildren(selector) {\n    const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent);\n    // remove children if greater depth\n    return SelectorEngine.find(selector, this._config.parent).filter(element => !children.includes(element));\n  }\n  _addAriaAndCollapsedClass(triggerArray, isOpen) {\n    if (!triggerArray.length) {\n      return;\n    }\n    for (const element of triggerArray) {\n      element.classList.toggle(CLASS_NAME_COLLAPSED, !isOpen);\n      element.setAttribute('aria-expanded', isOpen);\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    const _config = {};\n    if (typeof config === 'string' && /show|hide/.test(config)) {\n      _config.toggle = false;\n    }\n    return this.each(function () {\n      const data = Collapse.getOrCreateInstance(this, _config);\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$4, SELECTOR_DATA_TOGGLE$4, function (event) {\n  // preventDefault only for <a> elements (which change the URL) not inside the collapsible element\n  if (event.target.tagName === 'A' || event.delegateTarget && event.delegateTarget.tagName === 'A') {\n    event.preventDefault();\n  }\n  for (const element of SelectorEngine.getMultipleElementsFromSelector(this)) {\n    Collapse.getOrCreateInstance(element, {\n      toggle: false\n    }).toggle();\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Collapse);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$a = 'dropdown';\nconst DATA_KEY$6 = 'bs.dropdown';\nconst EVENT_KEY$6 = `.${DATA_KEY$6}`;\nconst DATA_API_KEY$3 = '.data-api';\nconst ESCAPE_KEY$2 = 'Escape';\nconst TAB_KEY$1 = 'Tab';\nconst ARROW_UP_KEY$1 = 'ArrowUp';\nconst ARROW_DOWN_KEY$1 = 'ArrowDown';\nconst RIGHT_MOUSE_BUTTON = 2; // MouseEvent.button value for the secondary button, usually the right button\n\nconst EVENT_HIDE$5 = `hide${EVENT_KEY$6}`;\nconst EVENT_HIDDEN$5 = `hidden${EVENT_KEY$6}`;\nconst EVENT_SHOW$5 = `show${EVENT_KEY$6}`;\nconst EVENT_SHOWN$5 = `shown${EVENT_KEY$6}`;\nconst EVENT_CLICK_DATA_API$3 = `click${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst CLASS_NAME_SHOW$6 = 'show';\nconst CLASS_NAME_DROPUP = 'dropup';\nconst CLASS_NAME_DROPEND = 'dropend';\nconst CLASS_NAME_DROPSTART = 'dropstart';\nconst CLASS_NAME_DROPUP_CENTER = 'dropup-center';\nconst CLASS_NAME_DROPDOWN_CENTER = 'dropdown-center';\nconst SELECTOR_DATA_TOGGLE$3 = '[data-bs-toggle=\"dropdown\"]:not(.disabled):not(:disabled)';\nconst SELECTOR_DATA_TOGGLE_SHOWN = `${SELECTOR_DATA_TOGGLE$3}.${CLASS_NAME_SHOW$6}`;\nconst SELECTOR_MENU = '.dropdown-menu';\nconst SELECTOR_NAVBAR = '.navbar';\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav';\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)';\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start';\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end';\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start';\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end';\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start';\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start';\nconst PLACEMENT_TOPCENTER = 'top';\nconst PLACEMENT_BOTTOMCENTER = 'bottom';\nconst Default$9 = {\n  autoClose: true,\n  boundary: 'clippingParents',\n  display: 'dynamic',\n  offset: [0, 2],\n  popperConfig: null,\n  reference: 'toggle'\n};\nconst DefaultType$9 = {\n  autoClose: '(boolean|string)',\n  boundary: '(string|element)',\n  display: 'string',\n  offset: '(array|string|function)',\n  popperConfig: '(null|object|function)',\n  reference: '(string|element|object)'\n};\n\n/**\n * Class definition\n */\n\nclass Dropdown extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._popper = null;\n    this._parent = this._element.parentNode; // dropdown wrapper\n    // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n    this._menu = SelectorEngine.next(this._element, SELECTOR_MENU)[0] || SelectorEngine.prev(this._element, SELECTOR_MENU)[0] || SelectorEngine.findOne(SELECTOR_MENU, this._parent);\n    this._inNavbar = this._detectNavbar();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$9;\n  }\n  static get DefaultType() {\n    return DefaultType$9;\n  }\n  static get NAME() {\n    return NAME$a;\n  }\n\n  // Public\n  toggle() {\n    return this._isShown() ? this.hide() : this.show();\n  }\n  show() {\n    if (isDisabled(this._element) || this._isShown()) {\n      return;\n    }\n    const relatedTarget = {\n      relatedTarget: this._element\n    };\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$5, relatedTarget);\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._createPopper();\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement && !this._parent.closest(SELECTOR_NAVBAR_NAV)) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop);\n      }\n    }\n    this._element.focus();\n    this._element.setAttribute('aria-expanded', true);\n    this._menu.classList.add(CLASS_NAME_SHOW$6);\n    this._element.classList.add(CLASS_NAME_SHOW$6);\n    EventHandler.trigger(this._element, EVENT_SHOWN$5, relatedTarget);\n  }\n  hide() {\n    if (isDisabled(this._element) || !this._isShown()) {\n      return;\n    }\n    const relatedTarget = {\n      relatedTarget: this._element\n    };\n    this._completeHide(relatedTarget);\n  }\n  dispose() {\n    if (this._popper) {\n      this._popper.destroy();\n    }\n    super.dispose();\n  }\n  update() {\n    this._inNavbar = this._detectNavbar();\n    if (this._popper) {\n      this._popper.update();\n    }\n  }\n\n  // Private\n  _completeHide(relatedTarget) {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$5, relatedTarget);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop);\n      }\n    }\n    if (this._popper) {\n      this._popper.destroy();\n    }\n    this._menu.classList.remove(CLASS_NAME_SHOW$6);\n    this._element.classList.remove(CLASS_NAME_SHOW$6);\n    this._element.setAttribute('aria-expanded', 'false');\n    Manipulator.removeDataAttribute(this._menu, 'popper');\n    EventHandler.trigger(this._element, EVENT_HIDDEN$5, relatedTarget);\n  }\n  _getConfig(config) {\n    config = super._getConfig(config);\n    if (typeof config.reference === 'object' && !isElement(config.reference) && typeof config.reference.getBoundingClientRect !== 'function') {\n      // Popper virtual elements require a getBoundingClientRect method\n      throw new TypeError(`${NAME$a.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`);\n    }\n    return config;\n  }\n  _createPopper() {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)');\n    }\n    let referenceElement = this._element;\n    if (this._config.reference === 'parent') {\n      referenceElement = this._parent;\n    } else if (isElement(this._config.reference)) {\n      referenceElement = getElement(this._config.reference);\n    } else if (typeof this._config.reference === 'object') {\n      referenceElement = this._config.reference;\n    }\n    const popperConfig = this._getPopperConfig();\n    this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig);\n  }\n  _isShown() {\n    return this._menu.classList.contains(CLASS_NAME_SHOW$6);\n  }\n  _getPlacement() {\n    const parentDropdown = this._parent;\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n      return PLACEMENT_RIGHT;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n      return PLACEMENT_LEFT;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP_CENTER)) {\n      return PLACEMENT_TOPCENTER;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPDOWN_CENTER)) {\n      return PLACEMENT_BOTTOMCENTER;\n    }\n\n    // We need to trim the value because custom properties can also include spaces\n    const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end';\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n      return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP;\n    }\n    return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM;\n  }\n  _detectNavbar() {\n    return this._element.closest(SELECTOR_NAVBAR) !== null;\n  }\n  _getOffset() {\n    const {\n      offset\n    } = this._config;\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10));\n    }\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element);\n    }\n    return offset;\n  }\n  _getPopperConfig() {\n    const defaultBsPopperConfig = {\n      placement: this._getPlacement(),\n      modifiers: [{\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      }, {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }]\n    };\n\n    // Disable Popper if we have a static display or Dropdown is in Navbar\n    if (this._inNavbar || this._config.display === 'static') {\n      Manipulator.setDataAttribute(this._menu, 'popper', 'static'); // TODO: v6 remove\n      defaultBsPopperConfig.modifiers = [{\n        name: 'applyStyles',\n        enabled: false\n      }];\n    }\n    return {\n      ...defaultBsPopperConfig,\n      ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n    };\n  }\n  _selectMenuItem({\n    key,\n    target\n  }) {\n    const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(element => isVisible(element));\n    if (!items.length) {\n      return;\n    }\n\n    // if target isn't included in items (e.g. when expanding the dropdown)\n    // allow cycling to get the last item in case key equals ARROW_UP_KEY\n    getNextActiveElement(items, target, key === ARROW_DOWN_KEY$1, !items.includes(target)).focus();\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Dropdown.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n  static clearMenus(event) {\n    if (event.button === RIGHT_MOUSE_BUTTON || event.type === 'keyup' && event.key !== TAB_KEY$1) {\n      return;\n    }\n    const openToggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE_SHOWN);\n    for (const toggle of openToggles) {\n      const context = Dropdown.getInstance(toggle);\n      if (!context || context._config.autoClose === false) {\n        continue;\n      }\n      const composedPath = event.composedPath();\n      const isMenuTarget = composedPath.includes(context._menu);\n      if (composedPath.includes(context._element) || context._config.autoClose === 'inside' && !isMenuTarget || context._config.autoClose === 'outside' && isMenuTarget) {\n        continue;\n      }\n\n      // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n      if (context._menu.contains(event.target) && (event.type === 'keyup' && event.key === TAB_KEY$1 || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n        continue;\n      }\n      const relatedTarget = {\n        relatedTarget: context._element\n      };\n      if (event.type === 'click') {\n        relatedTarget.clickEvent = event;\n      }\n      context._completeHide(relatedTarget);\n    }\n  }\n  static dataApiKeydownHandler(event) {\n    // If not an UP | DOWN | ESCAPE key => not a dropdown command\n    // If input/textarea && if key is other than ESCAPE => not a dropdown command\n\n    const isInput = /input|textarea/i.test(event.target.tagName);\n    const isEscapeEvent = event.key === ESCAPE_KEY$2;\n    const isUpOrDownEvent = [ARROW_UP_KEY$1, ARROW_DOWN_KEY$1].includes(event.key);\n    if (!isUpOrDownEvent && !isEscapeEvent) {\n      return;\n    }\n    if (isInput && !isEscapeEvent) {\n      return;\n    }\n    event.preventDefault();\n\n    // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n    const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE$3) ? this : SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.next(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.findOne(SELECTOR_DATA_TOGGLE$3, event.delegateTarget.parentNode);\n    const instance = Dropdown.getOrCreateInstance(getToggleButton);\n    if (isUpOrDownEvent) {\n      event.stopPropagation();\n      instance.show();\n      instance._selectMenuItem(event);\n      return;\n    }\n    if (instance._isShown()) {\n      // else is escape and we check if it is shown\n      event.stopPropagation();\n      instance.hide();\n      getToggleButton.focus();\n    }\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE$3, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, SELECTOR_DATA_TOGGLE$3, function (event) {\n  event.preventDefault();\n  Dropdown.getOrCreateInstance(this).toggle();\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Dropdown);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$9 = 'backdrop';\nconst CLASS_NAME_FADE$4 = 'fade';\nconst CLASS_NAME_SHOW$5 = 'show';\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME$9}`;\nconst Default$8 = {\n  className: 'modal-backdrop',\n  clickCallback: null,\n  isAnimated: false,\n  isVisible: true,\n  // if false, we use the backdrop helper without adding any element to the dom\n  rootElement: 'body' // give the choice to place backdrop under different elements\n};\nconst DefaultType$8 = {\n  className: 'string',\n  clickCallback: '(function|null)',\n  isAnimated: 'boolean',\n  isVisible: 'boolean',\n  rootElement: '(element|string)'\n};\n\n/**\n * Class definition\n */\n\nclass Backdrop extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n    this._isAppended = false;\n    this._element = null;\n  }\n\n  // Getters\n  static get Default() {\n    return Default$8;\n  }\n  static get DefaultType() {\n    return DefaultType$8;\n  }\n  static get NAME() {\n    return NAME$9;\n  }\n\n  // Public\n  show(callback) {\n    if (!this._config.isVisible) {\n      execute(callback);\n      return;\n    }\n    this._append();\n    const element = this._getElement();\n    if (this._config.isAnimated) {\n      reflow(element);\n    }\n    element.classList.add(CLASS_NAME_SHOW$5);\n    this._emulateAnimation(() => {\n      execute(callback);\n    });\n  }\n  hide(callback) {\n    if (!this._config.isVisible) {\n      execute(callback);\n      return;\n    }\n    this._getElement().classList.remove(CLASS_NAME_SHOW$5);\n    this._emulateAnimation(() => {\n      this.dispose();\n      execute(callback);\n    });\n  }\n  dispose() {\n    if (!this._isAppended) {\n      return;\n    }\n    EventHandler.off(this._element, EVENT_MOUSEDOWN);\n    this._element.remove();\n    this._isAppended = false;\n  }\n\n  // Private\n  _getElement() {\n    if (!this._element) {\n      const backdrop = document.createElement('div');\n      backdrop.className = this._config.className;\n      if (this._config.isAnimated) {\n        backdrop.classList.add(CLASS_NAME_FADE$4);\n      }\n      this._element = backdrop;\n    }\n    return this._element;\n  }\n  _configAfterMerge(config) {\n    // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n    config.rootElement = getElement(config.rootElement);\n    return config;\n  }\n  _append() {\n    if (this._isAppended) {\n      return;\n    }\n    const element = this._getElement();\n    this._config.rootElement.append(element);\n    EventHandler.on(element, EVENT_MOUSEDOWN, () => {\n      execute(this._config.clickCallback);\n    });\n    this._isAppended = true;\n  }\n  _emulateAnimation(callback) {\n    executeAfterTransition(callback, this._getElement(), this._config.isAnimated);\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$8 = 'focustrap';\nconst DATA_KEY$5 = 'bs.focustrap';\nconst EVENT_KEY$5 = `.${DATA_KEY$5}`;\nconst EVENT_FOCUSIN$2 = `focusin${EVENT_KEY$5}`;\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY$5}`;\nconst TAB_KEY = 'Tab';\nconst TAB_NAV_FORWARD = 'forward';\nconst TAB_NAV_BACKWARD = 'backward';\nconst Default$7 = {\n  autofocus: true,\n  trapElement: null // The element to trap focus inside of\n};\nconst DefaultType$7 = {\n  autofocus: 'boolean',\n  trapElement: 'element'\n};\n\n/**\n * Class definition\n */\n\nclass FocusTrap extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n    this._isActive = false;\n    this._lastTabNavDirection = null;\n  }\n\n  // Getters\n  static get Default() {\n    return Default$7;\n  }\n  static get DefaultType() {\n    return DefaultType$7;\n  }\n  static get NAME() {\n    return NAME$8;\n  }\n\n  // Public\n  activate() {\n    if (this._isActive) {\n      return;\n    }\n    if (this._config.autofocus) {\n      this._config.trapElement.focus();\n    }\n    EventHandler.off(document, EVENT_KEY$5); // guard against infinite focus loop\n    EventHandler.on(document, EVENT_FOCUSIN$2, event => this._handleFocusin(event));\n    EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event));\n    this._isActive = true;\n  }\n  deactivate() {\n    if (!this._isActive) {\n      return;\n    }\n    this._isActive = false;\n    EventHandler.off(document, EVENT_KEY$5);\n  }\n\n  // Private\n  _handleFocusin(event) {\n    const {\n      trapElement\n    } = this._config;\n    if (event.target === document || event.target === trapElement || trapElement.contains(event.target)) {\n      return;\n    }\n    const elements = SelectorEngine.focusableChildren(trapElement);\n    if (elements.length === 0) {\n      trapElement.focus();\n    } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n      elements[elements.length - 1].focus();\n    } else {\n      elements[0].focus();\n    }\n  }\n  _handleKeydown(event) {\n    if (event.key !== TAB_KEY) {\n      return;\n    }\n    this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top';\nconst SELECTOR_STICKY_CONTENT = '.sticky-top';\nconst PROPERTY_PADDING = 'padding-right';\nconst PROPERTY_MARGIN = 'margin-right';\n\n/**\n * Class definition\n */\n\nclass ScrollBarHelper {\n  constructor() {\n    this._element = document.body;\n  }\n\n  // Public\n  getWidth() {\n    // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n    const documentWidth = document.documentElement.clientWidth;\n    return Math.abs(window.innerWidth - documentWidth);\n  }\n  hide() {\n    const width = this.getWidth();\n    this._disableOverFlow();\n    // give padding to element to balance the hidden scrollbar width\n    this._setElementAttributes(this._element, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n    // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n    this._setElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n    this._setElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN, calculatedValue => calculatedValue - width);\n  }\n  reset() {\n    this._resetElementAttributes(this._element, 'overflow');\n    this._resetElementAttributes(this._element, PROPERTY_PADDING);\n    this._resetElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING);\n    this._resetElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN);\n  }\n  isOverflowing() {\n    return this.getWidth() > 0;\n  }\n\n  // Private\n  _disableOverFlow() {\n    this._saveInitialAttribute(this._element, 'overflow');\n    this._element.style.overflow = 'hidden';\n  }\n  _setElementAttributes(selector, styleProperty, callback) {\n    const scrollbarWidth = this.getWidth();\n    const manipulationCallBack = element => {\n      if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n        return;\n      }\n      this._saveInitialAttribute(element, styleProperty);\n      const calculatedValue = window.getComputedStyle(element).getPropertyValue(styleProperty);\n      element.style.setProperty(styleProperty, `${callback(Number.parseFloat(calculatedValue))}px`);\n    };\n    this._applyManipulationCallback(selector, manipulationCallBack);\n  }\n  _saveInitialAttribute(element, styleProperty) {\n    const actualValue = element.style.getPropertyValue(styleProperty);\n    if (actualValue) {\n      Manipulator.setDataAttribute(element, styleProperty, actualValue);\n    }\n  }\n  _resetElementAttributes(selector, styleProperty) {\n    const manipulationCallBack = element => {\n      const value = Manipulator.getDataAttribute(element, styleProperty);\n      // We only want to remove the property if the value is `null`; the value can also be zero\n      if (value === null) {\n        element.style.removeProperty(styleProperty);\n        return;\n      }\n      Manipulator.removeDataAttribute(element, styleProperty);\n      element.style.setProperty(styleProperty, value);\n    };\n    this._applyManipulationCallback(selector, manipulationCallBack);\n  }\n  _applyManipulationCallback(selector, callBack) {\n    if (isElement(selector)) {\n      callBack(selector);\n      return;\n    }\n    for (const sel of SelectorEngine.find(selector, this._element)) {\n      callBack(sel);\n    }\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$7 = 'modal';\nconst DATA_KEY$4 = 'bs.modal';\nconst EVENT_KEY$4 = `.${DATA_KEY$4}`;\nconst DATA_API_KEY$2 = '.data-api';\nconst ESCAPE_KEY$1 = 'Escape';\nconst EVENT_HIDE$4 = `hide${EVENT_KEY$4}`;\nconst EVENT_HIDE_PREVENTED$1 = `hidePrevented${EVENT_KEY$4}`;\nconst EVENT_HIDDEN$4 = `hidden${EVENT_KEY$4}`;\nconst EVENT_SHOW$4 = `show${EVENT_KEY$4}`;\nconst EVENT_SHOWN$4 = `shown${EVENT_KEY$4}`;\nconst EVENT_RESIZE$1 = `resize${EVENT_KEY$4}`;\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY$4}`;\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY$4}`;\nconst EVENT_KEYDOWN_DISMISS$1 = `keydown.dismiss${EVENT_KEY$4}`;\nconst EVENT_CLICK_DATA_API$2 = `click${EVENT_KEY$4}${DATA_API_KEY$2}`;\nconst CLASS_NAME_OPEN = 'modal-open';\nconst CLASS_NAME_FADE$3 = 'fade';\nconst CLASS_NAME_SHOW$4 = 'show';\nconst CLASS_NAME_STATIC = 'modal-static';\nconst OPEN_SELECTOR$1 = '.modal.show';\nconst SELECTOR_DIALOG = '.modal-dialog';\nconst SELECTOR_MODAL_BODY = '.modal-body';\nconst SELECTOR_DATA_TOGGLE$2 = '[data-bs-toggle=\"modal\"]';\nconst Default$6 = {\n  backdrop: true,\n  focus: true,\n  keyboard: true\n};\nconst DefaultType$6 = {\n  backdrop: '(boolean|string)',\n  focus: 'boolean',\n  keyboard: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Modal extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element);\n    this._backdrop = this._initializeBackDrop();\n    this._focustrap = this._initializeFocusTrap();\n    this._isShown = false;\n    this._isTransitioning = false;\n    this._scrollBar = new ScrollBarHelper();\n    this._addEventListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$6;\n  }\n  static get DefaultType() {\n    return DefaultType$6;\n  }\n  static get NAME() {\n    return NAME$7;\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget);\n  }\n  show(relatedTarget) {\n    if (this._isShown || this._isTransitioning) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$4, {\n      relatedTarget\n    });\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = true;\n    this._isTransitioning = true;\n    this._scrollBar.hide();\n    document.body.classList.add(CLASS_NAME_OPEN);\n    this._adjustDialog();\n    this._backdrop.show(() => this._showElement(relatedTarget));\n  }\n  hide() {\n    if (!this._isShown || this._isTransitioning) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$4);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = false;\n    this._isTransitioning = true;\n    this._focustrap.deactivate();\n    this._element.classList.remove(CLASS_NAME_SHOW$4);\n    this._queueCallback(() => this._hideModal(), this._element, this._isAnimated());\n  }\n  dispose() {\n    EventHandler.off(window, EVENT_KEY$4);\n    EventHandler.off(this._dialog, EVENT_KEY$4);\n    this._backdrop.dispose();\n    this._focustrap.deactivate();\n    super.dispose();\n  }\n  handleUpdate() {\n    this._adjustDialog();\n  }\n\n  // Private\n  _initializeBackDrop() {\n    return new Backdrop({\n      isVisible: Boolean(this._config.backdrop),\n      // 'static' option will be translated to true, and booleans will keep their value,\n      isAnimated: this._isAnimated()\n    });\n  }\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    });\n  }\n  _showElement(relatedTarget) {\n    // try to append dynamic modal\n    if (!document.body.contains(this._element)) {\n      document.body.append(this._element);\n    }\n    this._element.style.display = 'block';\n    this._element.removeAttribute('aria-hidden');\n    this._element.setAttribute('aria-modal', true);\n    this._element.setAttribute('role', 'dialog');\n    this._element.scrollTop = 0;\n    const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog);\n    if (modalBody) {\n      modalBody.scrollTop = 0;\n    }\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_SHOW$4);\n    const transitionComplete = () => {\n      if (this._config.focus) {\n        this._focustrap.activate();\n      }\n      this._isTransitioning = false;\n      EventHandler.trigger(this._element, EVENT_SHOWN$4, {\n        relatedTarget\n      });\n    };\n    this._queueCallback(transitionComplete, this._dialog, this._isAnimated());\n  }\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS$1, event => {\n      if (event.key !== ESCAPE_KEY$1) {\n        return;\n      }\n      if (this._config.keyboard) {\n        this.hide();\n        return;\n      }\n      this._triggerBackdropTransition();\n    });\n    EventHandler.on(window, EVENT_RESIZE$1, () => {\n      if (this._isShown && !this._isTransitioning) {\n        this._adjustDialog();\n      }\n    });\n    EventHandler.on(this._element, EVENT_MOUSEDOWN_DISMISS, event => {\n      // a bad trick to segregate clicks that may start inside dialog but end outside, and avoid listen to scrollbar clicks\n      EventHandler.one(this._element, EVENT_CLICK_DISMISS, event2 => {\n        if (this._element !== event.target || this._element !== event2.target) {\n          return;\n        }\n        if (this._config.backdrop === 'static') {\n          this._triggerBackdropTransition();\n          return;\n        }\n        if (this._config.backdrop) {\n          this.hide();\n        }\n      });\n    });\n  }\n  _hideModal() {\n    this._element.style.display = 'none';\n    this._element.setAttribute('aria-hidden', true);\n    this._element.removeAttribute('aria-modal');\n    this._element.removeAttribute('role');\n    this._isTransitioning = false;\n    this._backdrop.hide(() => {\n      document.body.classList.remove(CLASS_NAME_OPEN);\n      this._resetAdjustments();\n      this._scrollBar.reset();\n      EventHandler.trigger(this._element, EVENT_HIDDEN$4);\n    });\n  }\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_FADE$3);\n  }\n  _triggerBackdropTransition() {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED$1);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n    const initialOverflowY = this._element.style.overflowY;\n    // return if the following background transition hasn't yet completed\n    if (initialOverflowY === 'hidden' || this._element.classList.contains(CLASS_NAME_STATIC)) {\n      return;\n    }\n    if (!isModalOverflowing) {\n      this._element.style.overflowY = 'hidden';\n    }\n    this._element.classList.add(CLASS_NAME_STATIC);\n    this._queueCallback(() => {\n      this._element.classList.remove(CLASS_NAME_STATIC);\n      this._queueCallback(() => {\n        this._element.style.overflowY = initialOverflowY;\n      }, this._dialog);\n    }, this._dialog);\n    this._element.focus();\n  }\n\n  /**\n   * The following methods are used to handle overflowing modals\n   */\n\n  _adjustDialog() {\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n    const scrollbarWidth = this._scrollBar.getWidth();\n    const isBodyOverflowing = scrollbarWidth > 0;\n    if (isBodyOverflowing && !isModalOverflowing) {\n      const property = isRTL() ? 'paddingLeft' : 'paddingRight';\n      this._element.style[property] = `${scrollbarWidth}px`;\n    }\n    if (!isBodyOverflowing && isModalOverflowing) {\n      const property = isRTL() ? 'paddingRight' : 'paddingLeft';\n      this._element.style[property] = `${scrollbarWidth}px`;\n    }\n  }\n  _resetAdjustments() {\n    this._element.style.paddingLeft = '';\n    this._element.style.paddingRight = '';\n  }\n\n  // Static\n  static jQueryInterface(config, relatedTarget) {\n    return this.each(function () {\n      const data = Modal.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](relatedTarget);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$2, SELECTOR_DATA_TOGGLE$2, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  EventHandler.one(target, EVENT_SHOW$4, showEvent => {\n    if (showEvent.defaultPrevented) {\n      // only register focus restorer if modal will actually get shown\n      return;\n    }\n    EventHandler.one(target, EVENT_HIDDEN$4, () => {\n      if (isVisible(this)) {\n        this.focus();\n      }\n    });\n  });\n\n  // avoid conflict when clicking modal toggler while another one is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR$1);\n  if (alreadyOpen) {\n    Modal.getInstance(alreadyOpen).hide();\n  }\n  const data = Modal.getOrCreateInstance(target);\n  data.toggle(this);\n});\nenableDismissTrigger(Modal);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Modal);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$6 = 'offcanvas';\nconst DATA_KEY$3 = 'bs.offcanvas';\nconst EVENT_KEY$3 = `.${DATA_KEY$3}`;\nconst DATA_API_KEY$1 = '.data-api';\nconst EVENT_LOAD_DATA_API$2 = `load${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst ESCAPE_KEY = 'Escape';\nconst CLASS_NAME_SHOW$3 = 'show';\nconst CLASS_NAME_SHOWING$1 = 'showing';\nconst CLASS_NAME_HIDING = 'hiding';\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop';\nconst OPEN_SELECTOR = '.offcanvas.show';\nconst EVENT_SHOW$3 = `show${EVENT_KEY$3}`;\nconst EVENT_SHOWN$3 = `shown${EVENT_KEY$3}`;\nconst EVENT_HIDE$3 = `hide${EVENT_KEY$3}`;\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY$3}`;\nconst EVENT_HIDDEN$3 = `hidden${EVENT_KEY$3}`;\nconst EVENT_RESIZE = `resize${EVENT_KEY$3}`;\nconst EVENT_CLICK_DATA_API$1 = `click${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY$3}`;\nconst SELECTOR_DATA_TOGGLE$1 = '[data-bs-toggle=\"offcanvas\"]';\nconst Default$5 = {\n  backdrop: true,\n  keyboard: true,\n  scroll: false\n};\nconst DefaultType$5 = {\n  backdrop: '(boolean|string)',\n  keyboard: 'boolean',\n  scroll: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Offcanvas extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._isShown = false;\n    this._backdrop = this._initializeBackDrop();\n    this._focustrap = this._initializeFocusTrap();\n    this._addEventListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$5;\n  }\n  static get DefaultType() {\n    return DefaultType$5;\n  }\n  static get NAME() {\n    return NAME$6;\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget);\n  }\n  show(relatedTarget) {\n    if (this._isShown) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$3, {\n      relatedTarget\n    });\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = true;\n    this._backdrop.show();\n    if (!this._config.scroll) {\n      new ScrollBarHelper().hide();\n    }\n    this._element.setAttribute('aria-modal', true);\n    this._element.setAttribute('role', 'dialog');\n    this._element.classList.add(CLASS_NAME_SHOWING$1);\n    const completeCallBack = () => {\n      if (!this._config.scroll || this._config.backdrop) {\n        this._focustrap.activate();\n      }\n      this._element.classList.add(CLASS_NAME_SHOW$3);\n      this._element.classList.remove(CLASS_NAME_SHOWING$1);\n      EventHandler.trigger(this._element, EVENT_SHOWN$3, {\n        relatedTarget\n      });\n    };\n    this._queueCallback(completeCallBack, this._element, true);\n  }\n  hide() {\n    if (!this._isShown) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$3);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    this._focustrap.deactivate();\n    this._element.blur();\n    this._isShown = false;\n    this._element.classList.add(CLASS_NAME_HIDING);\n    this._backdrop.hide();\n    const completeCallback = () => {\n      this._element.classList.remove(CLASS_NAME_SHOW$3, CLASS_NAME_HIDING);\n      this._element.removeAttribute('aria-modal');\n      this._element.removeAttribute('role');\n      if (!this._config.scroll) {\n        new ScrollBarHelper().reset();\n      }\n      EventHandler.trigger(this._element, EVENT_HIDDEN$3);\n    };\n    this._queueCallback(completeCallback, this._element, true);\n  }\n  dispose() {\n    this._backdrop.dispose();\n    this._focustrap.deactivate();\n    super.dispose();\n  }\n\n  // Private\n  _initializeBackDrop() {\n    const clickCallback = () => {\n      if (this._config.backdrop === 'static') {\n        EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n        return;\n      }\n      this.hide();\n    };\n\n    // 'static' option will be translated to true, and booleans will keep their value\n    const isVisible = Boolean(this._config.backdrop);\n    return new Backdrop({\n      className: CLASS_NAME_BACKDROP,\n      isVisible,\n      isAnimated: true,\n      rootElement: this._element.parentNode,\n      clickCallback: isVisible ? clickCallback : null\n    });\n  }\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    });\n  }\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n      if (event.key !== ESCAPE_KEY) {\n        return;\n      }\n      if (this._config.keyboard) {\n        this.hide();\n        return;\n      }\n      EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n    });\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Offcanvas.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](this);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$1, SELECTOR_DATA_TOGGLE$1, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  if (isDisabled(this)) {\n    return;\n  }\n  EventHandler.one(target, EVENT_HIDDEN$3, () => {\n    // focus on trigger when it is closed\n    if (isVisible(this)) {\n      this.focus();\n    }\n  });\n\n  // avoid conflict when clicking a toggler of an offcanvas, while another is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR);\n  if (alreadyOpen && alreadyOpen !== target) {\n    Offcanvas.getInstance(alreadyOpen).hide();\n  }\n  const data = Offcanvas.getOrCreateInstance(target);\n  data.toggle(this);\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$2, () => {\n  for (const selector of SelectorEngine.find(OPEN_SELECTOR)) {\n    Offcanvas.getOrCreateInstance(selector).show();\n  }\n});\nEventHandler.on(window, EVENT_RESIZE, () => {\n  for (const element of SelectorEngine.find('[aria-modal][class*=show][class*=offcanvas-]')) {\n    if (getComputedStyle(element).position !== 'fixed') {\n      Offcanvas.getOrCreateInstance(element).hide();\n    }\n  }\n});\nenableDismissTrigger(Offcanvas);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Offcanvas);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n// js-docs-start allow-list\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i;\nconst DefaultAllowlist = {\n  // Global attributes allowed on any supplied element below.\n  '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n  a: ['target', 'href', 'title', 'rel'],\n  area: [],\n  b: [],\n  br: [],\n  col: [],\n  code: [],\n  dd: [],\n  div: [],\n  dl: [],\n  dt: [],\n  em: [],\n  hr: [],\n  h1: [],\n  h2: [],\n  h3: [],\n  h4: [],\n  h5: [],\n  h6: [],\n  i: [],\n  img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n  li: [],\n  ol: [],\n  p: [],\n  pre: [],\n  s: [],\n  small: [],\n  span: [],\n  sub: [],\n  sup: [],\n  strong: [],\n  u: [],\n  ul: []\n};\n// js-docs-end allow-list\n\nconst uriAttributes = new Set(['background', 'cite', 'href', 'itemtype', 'longdesc', 'poster', 'src', 'xlink:href']);\n\n/**\n * A pattern that recognizes URLs that are safe wrt. XSS in URL navigation\n * contexts.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/15.2.8/packages/core/src/sanitization/url_sanitizer.ts#L38\n */\n// eslint-disable-next-line unicorn/better-regex\nconst SAFE_URL_PATTERN = /^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i;\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n  const attributeName = attribute.nodeName.toLowerCase();\n  if (allowedAttributeList.includes(attributeName)) {\n    if (uriAttributes.has(attributeName)) {\n      return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue));\n    }\n    return true;\n  }\n\n  // Check if a regular expression validates the attribute.\n  return allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp).some(regex => regex.test(attributeName));\n};\nfunction sanitizeHtml(unsafeHtml, allowList, sanitizeFunction) {\n  if (!unsafeHtml.length) {\n    return unsafeHtml;\n  }\n  if (sanitizeFunction && typeof sanitizeFunction === 'function') {\n    return sanitizeFunction(unsafeHtml);\n  }\n  const domParser = new window.DOMParser();\n  const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html');\n  const elements = [].concat(...createdDocument.body.querySelectorAll('*'));\n  for (const element of elements) {\n    const elementName = element.nodeName.toLowerCase();\n    if (!Object.keys(allowList).includes(elementName)) {\n      element.remove();\n      continue;\n    }\n    const attributeList = [].concat(...element.attributes);\n    const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || []);\n    for (const attribute of attributeList) {\n      if (!allowedAttribute(attribute, allowedAttributes)) {\n        element.removeAttribute(attribute.nodeName);\n      }\n    }\n  }\n  return createdDocument.body.innerHTML;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/template-factory.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$5 = 'TemplateFactory';\nconst Default$4 = {\n  allowList: DefaultAllowlist,\n  content: {},\n  // { selector : text ,  selector2 : text2 , }\n  extraClass: '',\n  html: false,\n  sanitize: true,\n  sanitizeFn: null,\n  template: '<div></div>'\n};\nconst DefaultType$4 = {\n  allowList: 'object',\n  content: 'object',\n  extraClass: '(string|function)',\n  html: 'boolean',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  template: 'string'\n};\nconst DefaultContentType = {\n  entry: '(string|element|function|null)',\n  selector: '(string|element)'\n};\n\n/**\n * Class definition\n */\n\nclass TemplateFactory extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n  }\n\n  // Getters\n  static get Default() {\n    return Default$4;\n  }\n  static get DefaultType() {\n    return DefaultType$4;\n  }\n  static get NAME() {\n    return NAME$5;\n  }\n\n  // Public\n  getContent() {\n    return Object.values(this._config.content).map(config => this._resolvePossibleFunction(config)).filter(Boolean);\n  }\n  hasContent() {\n    return this.getContent().length > 0;\n  }\n  changeContent(content) {\n    this._checkContent(content);\n    this._config.content = {\n      ...this._config.content,\n      ...content\n    };\n    return this;\n  }\n  toHtml() {\n    const templateWrapper = document.createElement('div');\n    templateWrapper.innerHTML = this._maybeSanitize(this._config.template);\n    for (const [selector, text] of Object.entries(this._config.content)) {\n      this._setContent(templateWrapper, text, selector);\n    }\n    const template = templateWrapper.children[0];\n    const extraClass = this._resolvePossibleFunction(this._config.extraClass);\n    if (extraClass) {\n      template.classList.add(...extraClass.split(' '));\n    }\n    return template;\n  }\n\n  // Private\n  _typeCheckConfig(config) {\n    super._typeCheckConfig(config);\n    this._checkContent(config.content);\n  }\n  _checkContent(arg) {\n    for (const [selector, content] of Object.entries(arg)) {\n      super._typeCheckConfig({\n        selector,\n        entry: content\n      }, DefaultContentType);\n    }\n  }\n  _setContent(template, content, selector) {\n    const templateElement = SelectorEngine.findOne(selector, template);\n    if (!templateElement) {\n      return;\n    }\n    content = this._resolvePossibleFunction(content);\n    if (!content) {\n      templateElement.remove();\n      return;\n    }\n    if (isElement(content)) {\n      this._putElementInTemplate(getElement(content), templateElement);\n      return;\n    }\n    if (this._config.html) {\n      templateElement.innerHTML = this._maybeSanitize(content);\n      return;\n    }\n    templateElement.textContent = content;\n  }\n  _maybeSanitize(arg) {\n    return this._config.sanitize ? sanitizeHtml(arg, this._config.allowList, this._config.sanitizeFn) : arg;\n  }\n  _resolvePossibleFunction(arg) {\n    return execute(arg, [this]);\n  }\n  _putElementInTemplate(element, templateElement) {\n    if (this._config.html) {\n      templateElement.innerHTML = '';\n      templateElement.append(element);\n      return;\n    }\n    templateElement.textContent = element.textContent;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$4 = 'tooltip';\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn']);\nconst CLASS_NAME_FADE$2 = 'fade';\nconst CLASS_NAME_MODAL = 'modal';\nconst CLASS_NAME_SHOW$2 = 'show';\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner';\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`;\nconst EVENT_MODAL_HIDE = 'hide.bs.modal';\nconst TRIGGER_HOVER = 'hover';\nconst TRIGGER_FOCUS = 'focus';\nconst TRIGGER_CLICK = 'click';\nconst TRIGGER_MANUAL = 'manual';\nconst EVENT_HIDE$2 = 'hide';\nconst EVENT_HIDDEN$2 = 'hidden';\nconst EVENT_SHOW$2 = 'show';\nconst EVENT_SHOWN$2 = 'shown';\nconst EVENT_INSERTED = 'inserted';\nconst EVENT_CLICK$1 = 'click';\nconst EVENT_FOCUSIN$1 = 'focusin';\nconst EVENT_FOCUSOUT$1 = 'focusout';\nconst EVENT_MOUSEENTER = 'mouseenter';\nconst EVENT_MOUSELEAVE = 'mouseleave';\nconst AttachmentMap = {\n  AUTO: 'auto',\n  TOP: 'top',\n  RIGHT: isRTL() ? 'left' : 'right',\n  BOTTOM: 'bottom',\n  LEFT: isRTL() ? 'right' : 'left'\n};\nconst Default$3 = {\n  allowList: DefaultAllowlist,\n  animation: true,\n  boundary: 'clippingParents',\n  container: false,\n  customClass: '',\n  delay: 0,\n  fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n  html: false,\n  offset: [0, 6],\n  placement: 'top',\n  popperConfig: null,\n  sanitize: true,\n  sanitizeFn: null,\n  selector: false,\n  template: '<div class=\"tooltip\" role=\"tooltip\">' + '<div class=\"tooltip-arrow\"></div>' + '<div class=\"tooltip-inner\"></div>' + '</div>',\n  title: '',\n  trigger: 'hover focus'\n};\nconst DefaultType$3 = {\n  allowList: 'object',\n  animation: 'boolean',\n  boundary: '(string|element)',\n  container: '(string|element|boolean)',\n  customClass: '(string|function)',\n  delay: '(number|object)',\n  fallbackPlacements: 'array',\n  html: 'boolean',\n  offset: '(array|string|function)',\n  placement: '(string|function)',\n  popperConfig: '(null|object|function)',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  selector: '(string|boolean)',\n  template: 'string',\n  title: '(string|element|function)',\n  trigger: 'string'\n};\n\n/**\n * Class definition\n */\n\nclass Tooltip extends BaseComponent {\n  constructor(element, config) {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)');\n    }\n    super(element, config);\n\n    // Private\n    this._isEnabled = true;\n    this._timeout = 0;\n    this._isHovered = null;\n    this._activeTrigger = {};\n    this._popper = null;\n    this._templateFactory = null;\n    this._newContent = null;\n\n    // Protected\n    this.tip = null;\n    this._setListeners();\n    if (!this._config.selector) {\n      this._fixTitle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$3;\n  }\n  static get DefaultType() {\n    return DefaultType$3;\n  }\n  static get NAME() {\n    return NAME$4;\n  }\n\n  // Public\n  enable() {\n    this._isEnabled = true;\n  }\n  disable() {\n    this._isEnabled = false;\n  }\n  toggleEnabled() {\n    this._isEnabled = !this._isEnabled;\n  }\n  toggle() {\n    if (!this._isEnabled) {\n      return;\n    }\n    this._activeTrigger.click = !this._activeTrigger.click;\n    if (this._isShown()) {\n      this._leave();\n      return;\n    }\n    this._enter();\n  }\n  dispose() {\n    clearTimeout(this._timeout);\n    EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n    if (this._element.getAttribute('data-bs-original-title')) {\n      this._element.setAttribute('title', this._element.getAttribute('data-bs-original-title'));\n    }\n    this._disposePopper();\n    super.dispose();\n  }\n  show() {\n    if (this._element.style.display === 'none') {\n      throw new Error('Please use show on visible elements');\n    }\n    if (!(this._isWithContent() && this._isEnabled)) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOW$2));\n    const shadowRoot = findShadowRoot(this._element);\n    const isInTheDom = (shadowRoot || this._element.ownerDocument.documentElement).contains(this._element);\n    if (showEvent.defaultPrevented || !isInTheDom) {\n      return;\n    }\n\n    // TODO: v6 remove this or make it optional\n    this._disposePopper();\n    const tip = this._getTipElement();\n    this._element.setAttribute('aria-describedby', tip.getAttribute('id'));\n    const {\n      container\n    } = this._config;\n    if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n      container.append(tip);\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_INSERTED));\n    }\n    this._popper = this._createPopper(tip);\n    tip.classList.add(CLASS_NAME_SHOW$2);\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop);\n      }\n    }\n    const complete = () => {\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOWN$2));\n      if (this._isHovered === false) {\n        this._leave();\n      }\n      this._isHovered = false;\n    };\n    this._queueCallback(complete, this.tip, this._isAnimated());\n  }\n  hide() {\n    if (!this._isShown()) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDE$2));\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const tip = this._getTipElement();\n    tip.classList.remove(CLASS_NAME_SHOW$2);\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop);\n      }\n    }\n    this._activeTrigger[TRIGGER_CLICK] = false;\n    this._activeTrigger[TRIGGER_FOCUS] = false;\n    this._activeTrigger[TRIGGER_HOVER] = false;\n    this._isHovered = null; // it is a trick to support manual triggering\n\n    const complete = () => {\n      if (this._isWithActiveTrigger()) {\n        return;\n      }\n      if (!this._isHovered) {\n        this._disposePopper();\n      }\n      this._element.removeAttribute('aria-describedby');\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDDEN$2));\n    };\n    this._queueCallback(complete, this.tip, this._isAnimated());\n  }\n  update() {\n    if (this._popper) {\n      this._popper.update();\n    }\n  }\n\n  // Protected\n  _isWithContent() {\n    return Boolean(this._getTitle());\n  }\n  _getTipElement() {\n    if (!this.tip) {\n      this.tip = this._createTipElement(this._newContent || this._getContentForTemplate());\n    }\n    return this.tip;\n  }\n  _createTipElement(content) {\n    const tip = this._getTemplateFactory(content).toHtml();\n\n    // TODO: remove this check in v6\n    if (!tip) {\n      return null;\n    }\n    tip.classList.remove(CLASS_NAME_FADE$2, CLASS_NAME_SHOW$2);\n    // TODO: v6 the following can be achieved with CSS only\n    tip.classList.add(`bs-${this.constructor.NAME}-auto`);\n    const tipId = getUID(this.constructor.NAME).toString();\n    tip.setAttribute('id', tipId);\n    if (this._isAnimated()) {\n      tip.classList.add(CLASS_NAME_FADE$2);\n    }\n    return tip;\n  }\n  setContent(content) {\n    this._newContent = content;\n    if (this._isShown()) {\n      this._disposePopper();\n      this.show();\n    }\n  }\n  _getTemplateFactory(content) {\n    if (this._templateFactory) {\n      this._templateFactory.changeContent(content);\n    } else {\n      this._templateFactory = new TemplateFactory({\n        ...this._config,\n        // the `content` var has to be after `this._config`\n        // to override config.content in case of popover\n        content,\n        extraClass: this._resolvePossibleFunction(this._config.customClass)\n      });\n    }\n    return this._templateFactory;\n  }\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TOOLTIP_INNER]: this._getTitle()\n    };\n  }\n  _getTitle() {\n    return this._resolvePossibleFunction(this._config.title) || this._element.getAttribute('data-bs-original-title');\n  }\n\n  // Private\n  _initializeOnDelegatedTarget(event) {\n    return this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig());\n  }\n  _isAnimated() {\n    return this._config.animation || this.tip && this.tip.classList.contains(CLASS_NAME_FADE$2);\n  }\n  _isShown() {\n    return this.tip && this.tip.classList.contains(CLASS_NAME_SHOW$2);\n  }\n  _createPopper(tip) {\n    const placement = execute(this._config.placement, [this, tip, this._element]);\n    const attachment = AttachmentMap[placement.toUpperCase()];\n    return Popper.createPopper(this._element, tip, this._getPopperConfig(attachment));\n  }\n  _getOffset() {\n    const {\n      offset\n    } = this._config;\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10));\n    }\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element);\n    }\n    return offset;\n  }\n  _resolvePossibleFunction(arg) {\n    return execute(arg, [this._element]);\n  }\n  _getPopperConfig(attachment) {\n    const defaultBsPopperConfig = {\n      placement: attachment,\n      modifiers: [{\n        name: 'flip',\n        options: {\n          fallbackPlacements: this._config.fallbackPlacements\n        }\n      }, {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }, {\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      }, {\n        name: 'arrow',\n        options: {\n          element: `.${this.constructor.NAME}-arrow`\n        }\n      }, {\n        name: 'preSetPlacement',\n        enabled: true,\n        phase: 'beforeMain',\n        fn: data => {\n          // Pre-set Popper's placement attribute in order to read the arrow sizes properly.\n          // Otherwise, Popper mixes up the width and height dimensions since the initial arrow style is for top placement\n          this._getTipElement().setAttribute('data-popper-placement', data.state.placement);\n        }\n      }]\n    };\n    return {\n      ...defaultBsPopperConfig,\n      ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n    };\n  }\n  _setListeners() {\n    const triggers = this._config.trigger.split(' ');\n    for (const trigger of triggers) {\n      if (trigger === 'click') {\n        EventHandler.on(this._element, this.constructor.eventName(EVENT_CLICK$1), this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context.toggle();\n        });\n      } else if (trigger !== TRIGGER_MANUAL) {\n        const eventIn = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSEENTER) : this.constructor.eventName(EVENT_FOCUSIN$1);\n        const eventOut = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSELEAVE) : this.constructor.eventName(EVENT_FOCUSOUT$1);\n        EventHandler.on(this._element, eventIn, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context._activeTrigger[event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER] = true;\n          context._enter();\n        });\n        EventHandler.on(this._element, eventOut, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context._activeTrigger[event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER] = context._element.contains(event.relatedTarget);\n          context._leave();\n        });\n      }\n    }\n    this._hideModalHandler = () => {\n      if (this._element) {\n        this.hide();\n      }\n    };\n    EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n  }\n  _fixTitle() {\n    const title = this._element.getAttribute('title');\n    if (!title) {\n      return;\n    }\n    if (!this._element.getAttribute('aria-label') && !this._element.textContent.trim()) {\n      this._element.setAttribute('aria-label', title);\n    }\n    this._element.setAttribute('data-bs-original-title', title); // DO NOT USE IT. Is only for backwards compatibility\n    this._element.removeAttribute('title');\n  }\n  _enter() {\n    if (this._isShown() || this._isHovered) {\n      this._isHovered = true;\n      return;\n    }\n    this._isHovered = true;\n    this._setTimeout(() => {\n      if (this._isHovered) {\n        this.show();\n      }\n    }, this._config.delay.show);\n  }\n  _leave() {\n    if (this._isWithActiveTrigger()) {\n      return;\n    }\n    this._isHovered = false;\n    this._setTimeout(() => {\n      if (!this._isHovered) {\n        this.hide();\n      }\n    }, this._config.delay.hide);\n  }\n  _setTimeout(handler, timeout) {\n    clearTimeout(this._timeout);\n    this._timeout = setTimeout(handler, timeout);\n  }\n  _isWithActiveTrigger() {\n    return Object.values(this._activeTrigger).includes(true);\n  }\n  _getConfig(config) {\n    const dataAttributes = Manipulator.getDataAttributes(this._element);\n    for (const dataAttribute of Object.keys(dataAttributes)) {\n      if (DISALLOWED_ATTRIBUTES.has(dataAttribute)) {\n        delete dataAttributes[dataAttribute];\n      }\n    }\n    config = {\n      ...dataAttributes,\n      ...(typeof config === 'object' && config ? config : {})\n    };\n    config = this._mergeConfigObj(config);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n  _configAfterMerge(config) {\n    config.container = config.container === false ? document.body : getElement(config.container);\n    if (typeof config.delay === 'number') {\n      config.delay = {\n        show: config.delay,\n        hide: config.delay\n      };\n    }\n    if (typeof config.title === 'number') {\n      config.title = config.title.toString();\n    }\n    if (typeof config.content === 'number') {\n      config.content = config.content.toString();\n    }\n    return config;\n  }\n  _getDelegateConfig() {\n    const config = {};\n    for (const [key, value] of Object.entries(this._config)) {\n      if (this.constructor.Default[key] !== value) {\n        config[key] = value;\n      }\n    }\n    config.selector = false;\n    config.trigger = 'manual';\n\n    // In the future can be replaced with:\n    // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n    // `Object.fromEntries(keysWithDifferentValues)`\n    return config;\n  }\n  _disposePopper() {\n    if (this._popper) {\n      this._popper.destroy();\n      this._popper = null;\n    }\n    if (this.tip) {\n      this.tip.remove();\n      this.tip = null;\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tooltip.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tooltip);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$3 = 'popover';\nconst SELECTOR_TITLE = '.popover-header';\nconst SELECTOR_CONTENT = '.popover-body';\nconst Default$2 = {\n  ...Tooltip.Default,\n  content: '',\n  offset: [0, 8],\n  placement: 'right',\n  template: '<div class=\"popover\" role=\"tooltip\">' + '<div class=\"popover-arrow\"></div>' + '<h3 class=\"popover-header\"></h3>' + '<div class=\"popover-body\"></div>' + '</div>',\n  trigger: 'click'\n};\nconst DefaultType$2 = {\n  ...Tooltip.DefaultType,\n  content: '(null|string|element|function)'\n};\n\n/**\n * Class definition\n */\n\nclass Popover extends Tooltip {\n  // Getters\n  static get Default() {\n    return Default$2;\n  }\n  static get DefaultType() {\n    return DefaultType$2;\n  }\n  static get NAME() {\n    return NAME$3;\n  }\n\n  // Overrides\n  _isWithContent() {\n    return this._getTitle() || this._getContent();\n  }\n\n  // Private\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TITLE]: this._getTitle(),\n      [SELECTOR_CONTENT]: this._getContent()\n    };\n  }\n  _getContent() {\n    return this._resolvePossibleFunction(this._config.content);\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Popover.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Popover);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$2 = 'scrollspy';\nconst DATA_KEY$2 = 'bs.scrollspy';\nconst EVENT_KEY$2 = `.${DATA_KEY$2}`;\nconst DATA_API_KEY = '.data-api';\nconst EVENT_ACTIVATE = `activate${EVENT_KEY$2}`;\nconst EVENT_CLICK = `click${EVENT_KEY$2}`;\nconst EVENT_LOAD_DATA_API$1 = `load${EVENT_KEY$2}${DATA_API_KEY}`;\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item';\nconst CLASS_NAME_ACTIVE$1 = 'active';\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]';\nconst SELECTOR_TARGET_LINKS = '[href]';\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group';\nconst SELECTOR_NAV_LINKS = '.nav-link';\nconst SELECTOR_NAV_ITEMS = '.nav-item';\nconst SELECTOR_LIST_ITEMS = '.list-group-item';\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_NAV_ITEMS} > ${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`;\nconst SELECTOR_DROPDOWN = '.dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE$1 = '.dropdown-toggle';\nconst Default$1 = {\n  offset: null,\n  // TODO: v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: '0px 0px -25%',\n  smoothScroll: false,\n  target: null,\n  threshold: [0.1, 0.5, 1]\n};\nconst DefaultType$1 = {\n  offset: '(number|null)',\n  // TODO v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: 'string',\n  smoothScroll: 'boolean',\n  target: 'element',\n  threshold: 'array'\n};\n\n/**\n * Class definition\n */\n\nclass ScrollSpy extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n\n    // this._element is the observablesContainer and config.target the menu links wrapper\n    this._targetLinks = new Map();\n    this._observableSections = new Map();\n    this._rootElement = getComputedStyle(this._element).overflowY === 'visible' ? null : this._element;\n    this._activeTarget = null;\n    this._observer = null;\n    this._previousScrollData = {\n      visibleEntryTop: 0,\n      parentScrollTop: 0\n    };\n    this.refresh(); // initialize\n  }\n\n  // Getters\n  static get Default() {\n    return Default$1;\n  }\n  static get DefaultType() {\n    return DefaultType$1;\n  }\n  static get NAME() {\n    return NAME$2;\n  }\n\n  // Public\n  refresh() {\n    this._initializeTargetsAndObservables();\n    this._maybeEnableSmoothScroll();\n    if (this._observer) {\n      this._observer.disconnect();\n    } else {\n      this._observer = this._getNewObserver();\n    }\n    for (const section of this._observableSections.values()) {\n      this._observer.observe(section);\n    }\n  }\n  dispose() {\n    this._observer.disconnect();\n    super.dispose();\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    // TODO: on v6 target should be given explicitly & remove the {target: 'ss-target'} case\n    config.target = getElement(config.target) || document.body;\n\n    // TODO: v6 Only for backwards compatibility reasons. Use rootMargin only\n    config.rootMargin = config.offset ? `${config.offset}px 0px -30%` : config.rootMargin;\n    if (typeof config.threshold === 'string') {\n      config.threshold = config.threshold.split(',').map(value => Number.parseFloat(value));\n    }\n    return config;\n  }\n  _maybeEnableSmoothScroll() {\n    if (!this._config.smoothScroll) {\n      return;\n    }\n\n    // unregister any previous listeners\n    EventHandler.off(this._config.target, EVENT_CLICK);\n    EventHandler.on(this._config.target, EVENT_CLICK, SELECTOR_TARGET_LINKS, event => {\n      const observableSection = this._observableSections.get(event.target.hash);\n      if (observableSection) {\n        event.preventDefault();\n        const root = this._rootElement || window;\n        const height = observableSection.offsetTop - this._element.offsetTop;\n        if (root.scrollTo) {\n          root.scrollTo({\n            top: height,\n            behavior: 'smooth'\n          });\n          return;\n        }\n\n        // Chrome 60 doesn't support `scrollTo`\n        root.scrollTop = height;\n      }\n    });\n  }\n  _getNewObserver() {\n    const options = {\n      root: this._rootElement,\n      threshold: this._config.threshold,\n      rootMargin: this._config.rootMargin\n    };\n    return new IntersectionObserver(entries => this._observerCallback(entries), options);\n  }\n\n  // The logic of selection\n  _observerCallback(entries) {\n    const targetElement = entry => this._targetLinks.get(`#${entry.target.id}`);\n    const activate = entry => {\n      this._previousScrollData.visibleEntryTop = entry.target.offsetTop;\n      this._process(targetElement(entry));\n    };\n    const parentScrollTop = (this._rootElement || document.documentElement).scrollTop;\n    const userScrollsDown = parentScrollTop >= this._previousScrollData.parentScrollTop;\n    this._previousScrollData.parentScrollTop = parentScrollTop;\n    for (const entry of entries) {\n      if (!entry.isIntersecting) {\n        this._activeTarget = null;\n        this._clearActiveClass(targetElement(entry));\n        continue;\n      }\n      const entryIsLowerThanPrevious = entry.target.offsetTop >= this._previousScrollData.visibleEntryTop;\n      // if we are scrolling down, pick the bigger offsetTop\n      if (userScrollsDown && entryIsLowerThanPrevious) {\n        activate(entry);\n        // if parent isn't scrolled, let's keep the first visible item, breaking the iteration\n        if (!parentScrollTop) {\n          return;\n        }\n        continue;\n      }\n\n      // if we are scrolling up, pick the smallest offsetTop\n      if (!userScrollsDown && !entryIsLowerThanPrevious) {\n        activate(entry);\n      }\n    }\n  }\n  _initializeTargetsAndObservables() {\n    this._targetLinks = new Map();\n    this._observableSections = new Map();\n    const targetLinks = SelectorEngine.find(SELECTOR_TARGET_LINKS, this._config.target);\n    for (const anchor of targetLinks) {\n      // ensure that the anchor has an id and is not disabled\n      if (!anchor.hash || isDisabled(anchor)) {\n        continue;\n      }\n      const observableSection = SelectorEngine.findOne(decodeURI(anchor.hash), this._element);\n\n      // ensure that the observableSection exists & is visible\n      if (isVisible(observableSection)) {\n        this._targetLinks.set(decodeURI(anchor.hash), anchor);\n        this._observableSections.set(anchor.hash, observableSection);\n      }\n    }\n  }\n  _process(target) {\n    if (this._activeTarget === target) {\n      return;\n    }\n    this._clearActiveClass(this._config.target);\n    this._activeTarget = target;\n    target.classList.add(CLASS_NAME_ACTIVE$1);\n    this._activateParents(target);\n    EventHandler.trigger(this._element, EVENT_ACTIVATE, {\n      relatedTarget: target\n    });\n  }\n  _activateParents(target) {\n    // Activate dropdown parents\n    if (target.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n      SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE$1, target.closest(SELECTOR_DROPDOWN)).classList.add(CLASS_NAME_ACTIVE$1);\n      return;\n    }\n    for (const listGroup of SelectorEngine.parents(target, SELECTOR_NAV_LIST_GROUP)) {\n      // Set triggered links parents as active\n      // With both <ul> and <nav> markup a parent is the previous sibling of any nav ancestor\n      for (const item of SelectorEngine.prev(listGroup, SELECTOR_LINK_ITEMS)) {\n        item.classList.add(CLASS_NAME_ACTIVE$1);\n      }\n    }\n  }\n  _clearActiveClass(parent) {\n    parent.classList.remove(CLASS_NAME_ACTIVE$1);\n    const activeNodes = SelectorEngine.find(`${SELECTOR_TARGET_LINKS}.${CLASS_NAME_ACTIVE$1}`, parent);\n    for (const node of activeNodes) {\n      node.classList.remove(CLASS_NAME_ACTIVE$1);\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = ScrollSpy.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(window, EVENT_LOAD_DATA_API$1, () => {\n  for (const spy of SelectorEngine.find(SELECTOR_DATA_SPY)) {\n    ScrollSpy.getOrCreateInstance(spy);\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(ScrollSpy);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap tab.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$1 = 'tab';\nconst DATA_KEY$1 = 'bs.tab';\nconst EVENT_KEY$1 = `.${DATA_KEY$1}`;\nconst EVENT_HIDE$1 = `hide${EVENT_KEY$1}`;\nconst EVENT_HIDDEN$1 = `hidden${EVENT_KEY$1}`;\nconst EVENT_SHOW$1 = `show${EVENT_KEY$1}`;\nconst EVENT_SHOWN$1 = `shown${EVENT_KEY$1}`;\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY$1}`;\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY$1}`;\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY$1}`;\nconst ARROW_LEFT_KEY = 'ArrowLeft';\nconst ARROW_RIGHT_KEY = 'ArrowRight';\nconst ARROW_UP_KEY = 'ArrowUp';\nconst ARROW_DOWN_KEY = 'ArrowDown';\nconst HOME_KEY = 'Home';\nconst END_KEY = 'End';\nconst CLASS_NAME_ACTIVE = 'active';\nconst CLASS_NAME_FADE$1 = 'fade';\nconst CLASS_NAME_SHOW$1 = 'show';\nconst CLASS_DROPDOWN = 'dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle';\nconst SELECTOR_DROPDOWN_MENU = '.dropdown-menu';\nconst NOT_SELECTOR_DROPDOWN_TOGGLE = `:not(${SELECTOR_DROPDOWN_TOGGLE})`;\nconst SELECTOR_TAB_PANEL = '.list-group, .nav, [role=\"tablist\"]';\nconst SELECTOR_OUTER = '.nav-item, .list-group-item';\nconst SELECTOR_INNER = `.nav-link${NOT_SELECTOR_DROPDOWN_TOGGLE}, .list-group-item${NOT_SELECTOR_DROPDOWN_TOGGLE}, [role=\"tab\"]${NOT_SELECTOR_DROPDOWN_TOGGLE}`;\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"tab\"], [data-bs-toggle=\"pill\"], [data-bs-toggle=\"list\"]'; // TODO: could only be `tab` in v6\nconst SELECTOR_INNER_ELEM = `${SELECTOR_INNER}, ${SELECTOR_DATA_TOGGLE}`;\nconst SELECTOR_DATA_TOGGLE_ACTIVE = `.${CLASS_NAME_ACTIVE}[data-bs-toggle=\"tab\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"pill\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"list\"]`;\n\n/**\n * Class definition\n */\n\nclass Tab extends BaseComponent {\n  constructor(element) {\n    super(element);\n    this._parent = this._element.closest(SELECTOR_TAB_PANEL);\n    if (!this._parent) {\n      return;\n      // TODO: should throw exception in v6\n      // throw new TypeError(`${element.outerHTML} has not a valid parent ${SELECTOR_INNER_ELEM}`)\n    }\n\n    // Set up initial aria attributes\n    this._setInitialAttributes(this._parent, this._getChildren());\n    EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event));\n  }\n\n  // Getters\n  static get NAME() {\n    return NAME$1;\n  }\n\n  // Public\n  show() {\n    // Shows this elem and deactivate the active sibling if exists\n    const innerElem = this._element;\n    if (this._elemIsActive(innerElem)) {\n      return;\n    }\n\n    // Search for active tab on same parent to deactivate it\n    const active = this._getActiveElem();\n    const hideEvent = active ? EventHandler.trigger(active, EVENT_HIDE$1, {\n      relatedTarget: innerElem\n    }) : null;\n    const showEvent = EventHandler.trigger(innerElem, EVENT_SHOW$1, {\n      relatedTarget: active\n    });\n    if (showEvent.defaultPrevented || hideEvent && hideEvent.defaultPrevented) {\n      return;\n    }\n    this._deactivate(active, innerElem);\n    this._activate(innerElem, active);\n  }\n\n  // Private\n  _activate(element, relatedElem) {\n    if (!element) {\n      return;\n    }\n    element.classList.add(CLASS_NAME_ACTIVE);\n    this._activate(SelectorEngine.getElementFromSelector(element)); // Search and activate/show the proper section\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.add(CLASS_NAME_SHOW$1);\n        return;\n      }\n      element.removeAttribute('tabindex');\n      element.setAttribute('aria-selected', true);\n      this._toggleDropDown(element, true);\n      EventHandler.trigger(element, EVENT_SHOWN$1, {\n        relatedTarget: relatedElem\n      });\n    };\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE$1));\n  }\n  _deactivate(element, relatedElem) {\n    if (!element) {\n      return;\n    }\n    element.classList.remove(CLASS_NAME_ACTIVE);\n    element.blur();\n    this._deactivate(SelectorEngine.getElementFromSelector(element)); // Search and deactivate the shown section too\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.remove(CLASS_NAME_SHOW$1);\n        return;\n      }\n      element.setAttribute('aria-selected', false);\n      element.setAttribute('tabindex', '-1');\n      this._toggleDropDown(element, false);\n      EventHandler.trigger(element, EVENT_HIDDEN$1, {\n        relatedTarget: relatedElem\n      });\n    };\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE$1));\n  }\n  _keydown(event) {\n    if (![ARROW_LEFT_KEY, ARROW_RIGHT_KEY, ARROW_UP_KEY, ARROW_DOWN_KEY, HOME_KEY, END_KEY].includes(event.key)) {\n      return;\n    }\n    event.stopPropagation(); // stopPropagation/preventDefault both added to support up/down keys without scrolling the page\n    event.preventDefault();\n    const children = this._getChildren().filter(element => !isDisabled(element));\n    let nextActiveElement;\n    if ([HOME_KEY, END_KEY].includes(event.key)) {\n      nextActiveElement = children[event.key === HOME_KEY ? 0 : children.length - 1];\n    } else {\n      const isNext = [ARROW_RIGHT_KEY, ARROW_DOWN_KEY].includes(event.key);\n      nextActiveElement = getNextActiveElement(children, event.target, isNext, true);\n    }\n    if (nextActiveElement) {\n      nextActiveElement.focus({\n        preventScroll: true\n      });\n      Tab.getOrCreateInstance(nextActiveElement).show();\n    }\n  }\n  _getChildren() {\n    // collection of inner elements\n    return SelectorEngine.find(SELECTOR_INNER_ELEM, this._parent);\n  }\n  _getActiveElem() {\n    return this._getChildren().find(child => this._elemIsActive(child)) || null;\n  }\n  _setInitialAttributes(parent, children) {\n    this._setAttributeIfNotExists(parent, 'role', 'tablist');\n    for (const child of children) {\n      this._setInitialAttributesOnChild(child);\n    }\n  }\n  _setInitialAttributesOnChild(child) {\n    child = this._getInnerElement(child);\n    const isActive = this._elemIsActive(child);\n    const outerElem = this._getOuterElement(child);\n    child.setAttribute('aria-selected', isActive);\n    if (outerElem !== child) {\n      this._setAttributeIfNotExists(outerElem, 'role', 'presentation');\n    }\n    if (!isActive) {\n      child.setAttribute('tabindex', '-1');\n    }\n    this._setAttributeIfNotExists(child, 'role', 'tab');\n\n    // set attributes to the related panel too\n    this._setInitialAttributesOnTargetPanel(child);\n  }\n  _setInitialAttributesOnTargetPanel(child) {\n    const target = SelectorEngine.getElementFromSelector(child);\n    if (!target) {\n      return;\n    }\n    this._setAttributeIfNotExists(target, 'role', 'tabpanel');\n    if (child.id) {\n      this._setAttributeIfNotExists(target, 'aria-labelledby', `${child.id}`);\n    }\n  }\n  _toggleDropDown(element, open) {\n    const outerElem = this._getOuterElement(element);\n    if (!outerElem.classList.contains(CLASS_DROPDOWN)) {\n      return;\n    }\n    const toggle = (selector, className) => {\n      const element = SelectorEngine.findOne(selector, outerElem);\n      if (element) {\n        element.classList.toggle(className, open);\n      }\n    };\n    toggle(SELECTOR_DROPDOWN_TOGGLE, CLASS_NAME_ACTIVE);\n    toggle(SELECTOR_DROPDOWN_MENU, CLASS_NAME_SHOW$1);\n    outerElem.setAttribute('aria-expanded', open);\n  }\n  _setAttributeIfNotExists(element, attribute, value) {\n    if (!element.hasAttribute(attribute)) {\n      element.setAttribute(attribute, value);\n    }\n  }\n  _elemIsActive(elem) {\n    return elem.classList.contains(CLASS_NAME_ACTIVE);\n  }\n\n  // Try to get the inner element (usually the .nav-link)\n  _getInnerElement(elem) {\n    return elem.matches(SELECTOR_INNER_ELEM) ? elem : SelectorEngine.findOne(SELECTOR_INNER_ELEM, elem);\n  }\n\n  // Try to get the outer element (usually the .nav-item)\n  _getOuterElement(elem) {\n    return elem.closest(SELECTOR_OUTER) || elem;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tab.getOrCreateInstance(this);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  if (isDisabled(this)) {\n    return;\n  }\n  Tab.getOrCreateInstance(this).show();\n});\n\n/**\n * Initialize on focus\n */\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const element of SelectorEngine.find(SELECTOR_DATA_TOGGLE_ACTIVE)) {\n    Tab.getOrCreateInstance(element);\n  }\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tab);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap toast.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME = 'toast';\nconst DATA_KEY = 'bs.toast';\nconst EVENT_KEY = `.${DATA_KEY}`;\nconst EVENT_MOUSEOVER = `mouseover${EVENT_KEY}`;\nconst EVENT_MOUSEOUT = `mouseout${EVENT_KEY}`;\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`;\nconst EVENT_FOCUSOUT = `focusout${EVENT_KEY}`;\nconst EVENT_HIDE = `hide${EVENT_KEY}`;\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`;\nconst EVENT_SHOW = `show${EVENT_KEY}`;\nconst EVENT_SHOWN = `shown${EVENT_KEY}`;\nconst CLASS_NAME_FADE = 'fade';\nconst CLASS_NAME_HIDE = 'hide'; // @deprecated - kept here only for backwards compatibility\nconst CLASS_NAME_SHOW = 'show';\nconst CLASS_NAME_SHOWING = 'showing';\nconst DefaultType = {\n  animation: 'boolean',\n  autohide: 'boolean',\n  delay: 'number'\n};\nconst Default = {\n  animation: true,\n  autohide: true,\n  delay: 5000\n};\n\n/**\n * Class definition\n */\n\nclass Toast extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._timeout = null;\n    this._hasMouseInteraction = false;\n    this._hasKeyboardInteraction = false;\n    this._setListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default;\n  }\n  static get DefaultType() {\n    return DefaultType;\n  }\n  static get NAME() {\n    return NAME;\n  }\n\n  // Public\n  show() {\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW);\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._clearTimeout();\n    if (this._config.animation) {\n      this._element.classList.add(CLASS_NAME_FADE);\n    }\n    const complete = () => {\n      this._element.classList.remove(CLASS_NAME_SHOWING);\n      EventHandler.trigger(this._element, EVENT_SHOWN);\n      this._maybeScheduleHide();\n    };\n    this._element.classList.remove(CLASS_NAME_HIDE); // @deprecated\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_SHOW, CLASS_NAME_SHOWING);\n    this._queueCallback(complete, this._element, this._config.animation);\n  }\n  hide() {\n    if (!this.isShown()) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const complete = () => {\n      this._element.classList.add(CLASS_NAME_HIDE); // @deprecated\n      this._element.classList.remove(CLASS_NAME_SHOWING, CLASS_NAME_SHOW);\n      EventHandler.trigger(this._element, EVENT_HIDDEN);\n    };\n    this._element.classList.add(CLASS_NAME_SHOWING);\n    this._queueCallback(complete, this._element, this._config.animation);\n  }\n  dispose() {\n    this._clearTimeout();\n    if (this.isShown()) {\n      this._element.classList.remove(CLASS_NAME_SHOW);\n    }\n    super.dispose();\n  }\n  isShown() {\n    return this._element.classList.contains(CLASS_NAME_SHOW);\n  }\n\n  // Private\n\n  _maybeScheduleHide() {\n    if (!this._config.autohide) {\n      return;\n    }\n    if (this._hasMouseInteraction || this._hasKeyboardInteraction) {\n      return;\n    }\n    this._timeout = setTimeout(() => {\n      this.hide();\n    }, this._config.delay);\n  }\n  _onInteraction(event, isInteracting) {\n    switch (event.type) {\n      case 'mouseover':\n      case 'mouseout':\n        {\n          this._hasMouseInteraction = isInteracting;\n          break;\n        }\n      case 'focusin':\n      case 'focusout':\n        {\n          this._hasKeyboardInteraction = isInteracting;\n          break;\n        }\n    }\n    if (isInteracting) {\n      this._clearTimeout();\n      return;\n    }\n    const nextElement = event.relatedTarget;\n    if (this._element === nextElement || this._element.contains(nextElement)) {\n      return;\n    }\n    this._maybeScheduleHide();\n  }\n  _setListeners() {\n    EventHandler.on(this._element, EVENT_MOUSEOVER, event => this._onInteraction(event, true));\n    EventHandler.on(this._element, EVENT_MOUSEOUT, event => this._onInteraction(event, false));\n    EventHandler.on(this._element, EVENT_FOCUSIN, event => this._onInteraction(event, true));\n    EventHandler.on(this._element, EVENT_FOCUSOUT, event => this._onInteraction(event, false));\n  }\n  _clearTimeout() {\n    clearTimeout(this._timeout);\n    this._timeout = null;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Toast.getOrCreateInstance(this, config);\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config](this);\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Toast);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Toast);\n\nexport { Alert, Button, Carousel, Collapse, Dropdown, Modal, Offcanvas, Popover, ScrollSpy, Tab, Toast, Tooltip };\n//# sourceMappingURL=bootstrap.esm.js.map\n","/* define several functions to replace jQuery methods\n * inspired by https://tobiasahlin.com/blog/move-from-jquery-to-vanilla-javascript/\n */\n\n/**\n * Execute a method if DOM has finished loading\n *\n * @param {function} callback the method to execute\n */\nexport function documentReady(callback) {\n  if (document.readyState != \"loading\") callback();\n  else document.addEventListener(\"DOMContentLoaded\", callback);\n}\n","// TODO: @trallard might end up moving this to the main JS file\n// Import and setup functions to control Bootstrap's behavior.\nimport \"@popperjs/core\";\n// Import all of Bootstrap's JS\nimport * as bootstrap from \"bootstrap\";\nimport { documentReady } from \"./mixin\";\n\n/*******************************************************************************\n * Trigger tooltips\n */\n\n/**\n * Add tooltip to each element with the \"tooltip\" data-bs-toogle class\n */\nfunction TriggerTooltip() {\n  var tooltipTriggerList = [].slice.call(\n    document.querySelectorAll('[data-bs-toggle=\"tooltip\"]'),\n  );\n  tooltipTriggerList.map(function (tooltipTriggerEl) {\n    return new bootstrap.Tooltip(tooltipTriggerEl, {\n      delay: { show: 500, hide: 100 },\n    });\n  });\n}\n\n/*******************************************************************************\n * back 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index 000000000..71955b429
--- /dev/null
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index 000000000..a91750aff
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+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2024 Fonticons, Inc.
+ */
diff --git a/_static/scripts/fontawesome.js.map b/_static/scripts/fontawesome.js.map
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define several functions to replace jQuery methods\n * inspired by https://tobiasahlin.com/blog/move-from-jquery-to-vanilla-javascript/\n */\n\n/**\n * Execute a method if DOM has finished loading\n *\n * @param {function} callback the method to execute\n */\nexport function documentReady(callback) {\n  if (document.readyState != \"loading\") callback();\n  else document.addEventListener(\"DOMContentLoaded\", callback);\n}\n","/**\n * Compare [semver](https://semver.org/) version strings to find greater, equal or lesser.\n * This library supports the full semver specification, including comparing versions with different number of digits like `1.0.0`, `1.0`, `1`, and pre-release versions like `1.0.0-alpha`.\n * @param v1 - First version to compare\n * @param v2 - Second version to compare\n * @returns Numeric value compatible with the [Array.sort(fn) interface](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/sort#Parameters).\n */\nexport const compareVersions = (v1, v2) => {\n    // validate input and split into segments\n    const n1 = validateAndParse(v1);\n    const n2 = validateAndParse(v2);\n    // pop off the patch\n    const p1 = n1.pop();\n    const p2 = n2.pop();\n    // validate numbers\n    const r = compareSegments(n1, n2);\n    if (r !== 0)\n        return r;\n    // validate pre-release\n    if (p1 && p2) {\n        return compareSegments(p1.split('.'), p2.split('.'));\n    }\n    else if (p1 || p2) {\n        return p1 ? -1 : 1;\n    }\n    return 0;\n};\n/**\n * Validate [semver](https://semver.org/) version strings.\n *\n * @param version Version number to validate\n * @returns `true` if the version number is a valid semver version number, `false` otherwise.\n *\n * @example\n * ```\n * validate('1.0.0-rc.1'); // return true\n * validate('1.0-rc.1'); // return false\n * validate('foo'); // return false\n * ```\n */\nexport const validate = (version) => typeof version === 'string' && /^[v\\d]/.test(version) && semver.test(version);\n/**\n * Compare [semver](https://semver.org/) version strings using the specified operator.\n *\n * @param v1 First version to compare\n * @param v2 Second version to compare\n * @param operator Allowed arithmetic operator to use\n * @returns `true` if the comparison between the firstVersion and the secondVersion satisfies the operator, `false` otherwise.\n *\n * @example\n * ```\n * compare('10.1.8', '10.0.4', '>'); // return true\n * compare('10.0.1', '10.0.1', '='); // return true\n * compare('10.1.1', '10.2.2', '<'); // return true\n * compare('10.1.1', '10.2.2', '<='); // return true\n * compare('10.1.1', '10.2.2', '>='); // return false\n * ```\n */\nexport const compare = (v1, v2, operator) => {\n    // validate input operator\n    assertValidOperator(operator);\n    // since result of compareVersions can only be -1 or 0 or 1\n    // a simple map can be used to replace switch\n    const res = compareVersions(v1, v2);\n    return operatorResMap[operator].includes(res);\n};\n/**\n * Match [npm semver](https://docs.npmjs.com/cli/v6/using-npm/semver) version range.\n *\n * @param version Version number to match\n * @param range Range pattern for version\n * @returns `true` if the version number is within the range, `false` otherwise.\n *\n * @example\n * ```\n * satisfies('1.1.0', '^1.0.0'); // return true\n * satisfies('1.1.0', '~1.0.0'); // return false\n * ```\n */\nexport const satisfies = (version, range) => {\n    // if no range operator then \"=\"\n    const m = range.match(/^([<>=~^]+)/);\n    const op = m ? m[1] : '=';\n    // if gt/lt/eq then operator compare\n    if (op !== '^' && op !== '~')\n        return compare(version, range, op);\n    // else range of either \"~\" or \"^\" is assumed\n    const [v1, v2, v3, , vp] = validateAndParse(version);\n    const [r1, r2, r3, , rp] = validateAndParse(range);\n    const v = [v1, v2, v3];\n    const r = [r1, r2 !== null && r2 !== void 0 ? r2 : 'x', r3 !== null && r3 !== void 0 ? r3 : 'x'];\n    // validate pre-release\n    if (rp) {\n        if (!vp)\n            return false;\n        if (compareSegments(v, r) !== 0)\n            return false;\n        if (compareSegments(vp.split('.'), rp.split('.')) === -1)\n            return false;\n    }\n    // first non-zero number\n    const nonZero = r.findIndex((v) => v !== '0') + 1;\n    // pointer to where segments can be >=\n    const i = op === '~' ? 2 : nonZero > 1 ? nonZero : 1;\n    // before pointer must be equal\n    if (compareSegments(v.slice(0, i), r.slice(0, i)) !== 0)\n        return false;\n    // after pointer must be >=\n    if (compareSegments(v.slice(i), r.slice(i)) === -1)\n        return false;\n    return true;\n};\nconst semver = /^[v^~<>=]*?(\\d+)(?:\\.([x*]|\\d+)(?:\\.([x*]|\\d+)(?:\\.([x*]|\\d+))?(?:-([\\da-z\\-]+(?:\\.[\\da-z\\-]+)*))?(?:\\+[\\da-z\\-]+(?:\\.[\\da-z\\-]+)*)?)?)?$/i;\nconst validateAndParse = (version) => {\n    if (typeof version !== 'string') {\n        throw new TypeError('Invalid argument expected string');\n    }\n    const match = version.match(semver);\n    if (!match) {\n        throw new Error(`Invalid argument not valid semver ('${version}' received)`);\n    }\n    match.shift();\n    return match;\n};\nconst isWildcard = (s) => s === '*' || s === 'x' || s === 'X';\nconst tryParse = (v) => {\n    const n = parseInt(v, 10);\n    return isNaN(n) ? v : n;\n};\nconst forceType = (a, b) => typeof a !== typeof b ? [String(a), String(b)] : [a, b];\nconst compareStrings = (a, b) => {\n    if (isWildcard(a) || isWildcard(b))\n        return 0;\n    const [ap, bp] = forceType(tryParse(a), tryParse(b));\n    if (ap > bp)\n        return 1;\n    if (ap < bp)\n        return -1;\n    return 0;\n};\nconst compareSegments = (a, b) => {\n    for (let i = 0; i < Math.max(a.length, b.length); i++) {\n        const r = compareStrings(a[i] || '0', b[i] || '0');\n        if (r !== 0)\n            return r;\n    }\n    return 0;\n};\nconst operatorResMap = {\n    '>': [1],\n    '>=': [0, 1],\n    '=': [0],\n    '<=': [-1, 0],\n    '<': [-1],\n};\nconst allowedOperators = Object.keys(operatorResMap);\nconst assertValidOperator = (op) => {\n    if (typeof op !== 'string') {\n        throw new TypeError(`Invalid operator type, expected string but got ${typeof op}`);\n    }\n    if (allowedOperators.indexOf(op) === -1) {\n        throw new Error(`Invalid operator, expected one of ${allowedOperators.join('|')}`);\n    }\n};\n//# sourceMappingURL=index.js.map","// Define the custom behavior of the page\nimport { documentReady } from \"./mixin\";\nimport { compare, validate } from \"compare-versions\";\n\nimport \"../styles/pydata-sphinx-theme.scss\";\n\n/*******************************************************************************\n * Theme interaction\n */\n\nvar prefersDark = window.matchMedia(\"(prefers-color-scheme: dark)\");\n\n/**\n * set the the body theme to the one specified by the user browser\n *\n * @param {event} e\n */\nfunction autoTheme(e) {\n  document.documentElement.dataset.theme = prefersDark.matches\n    ? \"dark\"\n    : \"light\";\n}\n\n/**\n * Set the theme using the specified mode.\n * It can be one of [\"auto\", \"dark\", \"light\"]\n *\n * @param {str} mode\n */\nfunction setTheme(mode) {\n  if (mode !== \"light\" && mode !== \"dark\" && mode !== \"auto\") {\n    console.error(`Got invalid theme mode: ${mode}. Resetting to auto.`);\n    mode = \"auto\";\n  }\n\n  // get the theme\n  var colorScheme = prefersDark.matches ? \"dark\" : \"light\";\n  document.documentElement.dataset.mode = mode;\n  var theme = mode == \"auto\" ? colorScheme : mode;\n  document.documentElement.dataset.theme = theme;\n  // TODO: remove this line after Bootstrap upgrade\n  // v5.3 has a colors mode: https://getbootstrap.com/docs/5.3/customize/color-modes/\n  document.querySelectorAll(\".dropdown-menu\").forEach((el) => {\n    if (theme === \"dark\") {\n      el.classList.add(\"dropdown-menu-dark\");\n    } else {\n      el.classList.remove(\"dropdown-menu-dark\");\n    }\n  });\n\n  // save mode and theme\n  localStorage.setItem(\"mode\", mode);\n  localStorage.setItem(\"theme\", theme);\n  console.log(`[PST]: Changed to ${mode} mode using the ${theme} theme.`);\n\n  // add a listener if set on auto\n  prefersDark.onchange = mode == \"auto\" ? autoTheme : \"\";\n}\n\n/**\n * Change the theme option order so that clicking on the btn is always a change\n * from \"auto\"\n */\nfunction cycleMode() {\n  const defaultMode = document.documentElement.dataset.defaultMode || \"auto\";\n  const currentMode = localStorage.getItem(\"mode\") || defaultMode;\n\n  var loopArray = (arr, current) => {\n    var nextPosition = arr.indexOf(current) + 1;\n    if (nextPosition === arr.length) {\n      nextPosition = 0;\n    }\n    return arr[nextPosition];\n  };\n\n  // make sure the next theme after auto is always a change\n  var modeList = prefersDark.matches\n    ? [\"auto\", \"light\", \"dark\"]\n    : [\"auto\", \"dark\", \"light\"];\n  var newMode = loopArray(modeList, currentMode);\n  setTheme(newMode);\n}\n\n/**\n * add the theme listener on the btns of the navbar\n */\nfunction addModeListener() {\n  // the theme was set a first time using the initial mini-script\n  // running setMode will ensure the use of the dark mode if auto is selected\n  setTheme(document.documentElement.dataset.mode);\n\n  // Attach event handlers for toggling themes colors\n  document.querySelectorAll(\".theme-switch-button\").forEach((el) => {\n    el.addEventListener(\"click\", cycleMode);\n  });\n}\n\n/*******************************************************************************\n * TOC interactivity\n */\n\n/**\n * TOC sidebar - add \"active\" class to parent list\n *\n * Bootstrap's scrollspy adds the active class to the <a> link,\n * but for the automatic collapsing we need this on the parent list item.\n *\n * The event is triggered on \"window\" (and not the nav item as documented),\n * see https://github.com/twbs/bootstrap/issues/20086\n */\nfunction addTOCInteractivity() {\n  window.addEventListener(\"activate.bs.scrollspy\", function () {\n    const navLinks = document.querySelectorAll(\".bd-toc-nav a\");\n\n    navLinks.forEach((navLink) => {\n      navLink.parentElement.classList.remove(\"active\");\n    });\n\n    const activeNavLinks = document.querySelectorAll(\".bd-toc-nav a.active\");\n    activeNavLinks.forEach((navLink) => {\n      navLink.parentElement.classList.add(\"active\");\n    });\n  });\n}\n\n/*******************************************************************************\n * Scroll\n */\n\n/**\n * Navigation sidebar scrolling to active page\n */\nfunction scrollToActive() {\n  // If the docs nav doesn't exist, do nothing (e.g., on search page)\n  if (!document.querySelector(\".bd-docs-nav\")) {\n    return;\n  }\n\n  var sidebar = document.querySelector(\"div.bd-sidebar\");\n\n  // Remember the sidebar scroll position between page loads\n  // Inspired on source of revealjs.com\n  let storedScrollTop = parseInt(\n    sessionStorage.getItem(\"sidebar-scroll-top\"),\n    10,\n  );\n\n  if (!isNaN(storedScrollTop)) {\n    // If we've got a saved scroll position, just use that\n    sidebar.scrollTop = storedScrollTop;\n    console.log(\"[PST]: Scrolled sidebar using stored browser position...\");\n  } else {\n    // Otherwise, calculate a position to scroll to based on the lowest `active` link\n    var sidebarNav = document.querySelector(\".bd-docs-nav\");\n    var active_pages = sidebarNav.querySelectorAll(\".active\");\n    if (active_pages.length > 0) {\n      // Use the last active page as the offset since it's the page we're on\n      var latest_active = active_pages[active_pages.length - 1];\n      var offset =\n        latest_active.getBoundingClientRect().y -\n        sidebar.getBoundingClientRect().y;\n      // Only scroll the navbar if the active link is lower than 50% of the page\n      if (latest_active.getBoundingClientRect().y > window.innerHeight * 0.5) {\n        let buffer = 0.25; // Buffer so we have some space above the scrolled item\n        sidebar.scrollTop = offset - sidebar.clientHeight * buffer;\n        console.log(\"[PST]: Scrolled sidebar using last active link...\");\n      }\n    }\n  }\n\n  // Store the sidebar scroll position\n  window.addEventListener(\"beforeunload\", () => {\n    sessionStorage.setItem(\"sidebar-scroll-top\", sidebar.scrollTop);\n  });\n}\n\n/*******************************************************************************\n * Search\n */\n\n/**\n * Find any search forms on the page and return their input element\n */\nvar findSearchInput = () => {\n  let forms = document.querySelectorAll(\"form.bd-search\");\n  if (!forms.length) {\n    // no search form found\n    return;\n  } else {\n    var form;\n    if (forms.length == 1) {\n      // there is exactly one search form (persistent or hidden)\n      form = forms[0];\n    } else {\n      // must be at least one persistent form, use the first persistent one\n      form = document.querySelector(\n        \":not(#pst-search-dialog) > form.bd-search\",\n      );\n    }\n    return form.querySelector(\"input\");\n  }\n};\n\n/**\n * Activate the search field on the page.\n * - If there is a search field already visible it will be activated.\n * - If not, then a search field will pop up.\n */\nvar toggleSearchField = () => {\n  // Find the search input to highlight\n  const input = findSearchInput();\n\n  // if the input field is the hidden one (the one associated with the\n  // search button) then toggle the button state (to show/hide the field)\n  const searchDialog = document.getElementById(\"pst-search-dialog\");\n  const hiddenInput = searchDialog.querySelector(\"input\");\n  if (input === hiddenInput) {\n    if (searchDialog.open) {\n      searchDialog.close();\n    } else {\n      // Note: browsers should focus the input field inside the modal dialog\n      // automatically when it is opened.\n      searchDialog.showModal();\n    }\n  } else {\n    // if the input field is not the hidden one, then toggle its focus state\n\n    if (document.activeElement === input) {\n      input.blur();\n    } else {\n      input.focus();\n      input.select();\n      input.scrollIntoView({ block: \"center\" });\n    }\n  }\n};\n\n/**\n * Add an event listener for toggleSearchField() for Ctrl/Cmd + K\n */\nvar addEventListenerForSearchKeyboard = () => {\n  window.addEventListener(\n    \"keydown\",\n    (event) => {\n      let input = findSearchInput();\n      // toggle on Ctrl+k or ⌘+k\n      if (\n        // Ignore if shift or alt are pressed\n        !event.shiftKey &&\n        !event.altKey &&\n        // On Mac use ⌘, all other OS use Ctrl\n        (useCommandKey\n          ? event.metaKey && !event.ctrlKey\n          : !event.metaKey && event.ctrlKey) &&\n        // Case-insensitive so the shortcut still works with caps lock\n        /^k$/i.test(event.key)\n      ) {\n        event.preventDefault();\n        toggleSearchField();\n      }\n      // also allow Escape key to hide (but not show) the dynamic search field\n      else if (document.activeElement === input && /Escape/i.test(event.key)) {\n        toggleSearchField();\n      }\n    },\n    true,\n  );\n};\n\n/**\n * If the user is on a Mac, use command (⌘) instead of control (ctrl) key\n *\n * Note: `navigator.platform` is deprecated; however MDN still recommends using\n * it for the one specific use case of detecting whether a keyboard shortcut\n * should use control or command:\n * https://developer.mozilla.org/en-US/docs/Web/API/Navigator/platform#examples\n */\nvar useCommandKey =\n  navigator.platform.indexOf(\"Mac\") === 0 || navigator.platform === \"iPhone\";\n\n/**\n * Change the search hint to `meta key` if we are a Mac\n */\n\nvar changeSearchShortcutKey = () => {\n  let shortcuts = document.querySelectorAll(\".search-button__kbd-shortcut\");\n  if (useCommandKey) {\n    shortcuts.forEach(\n      (f) => (f.querySelector(\"kbd.kbd-shortcut__modifier\").innerText = \"⌘\"),\n    );\n  }\n};\n\nconst closeDialogOnBackdropClick = ({\n  currentTarget: dialog,\n  clientX,\n  clientY,\n}) => {\n  if (!dialog.open) {\n    return;\n  }\n\n  // Dialog.getBoundingClientRect() does not include ::backdrop. (This is the\n  // trick that allows us to determine if click was inside or outside of the\n  // dialog: click handler includes backdrop, getBoundingClientRect does not.)\n  const { left, right, top, bottom } = dialog.getBoundingClientRect();\n\n  // 0, 0 means top left\n  const clickWasOutsideDialog =\n    clientX < left || right < clientX || clientY < top || bottom < clientY;\n\n  if (clickWasOutsideDialog) {\n    dialog.close();\n  }\n};\n\n/**\n * Activate callbacks for search button popup\n */\nvar setupSearchButtons = () => {\n  changeSearchShortcutKey();\n  addEventListenerForSearchKeyboard();\n\n  // Add the search button trigger event callback\n  document.querySelectorAll(\".search-button__button\").forEach((btn) => {\n    btn.onclick = toggleSearchField;\n  });\n\n  // If user clicks outside the search modal dialog, then close it.\n  const searchDialog = document.getElementById(\"pst-search-dialog\");\n  // Dialog click handler includes clicks on dialog ::backdrop.\n  searchDialog.addEventListener(\"click\", closeDialogOnBackdropClick);\n};\n\n/*******************************************************************************\n * Version Switcher\n * Note that this depends on two variables existing that are defined in\n * and `html-page-context` hook:\n *\n * - DOCUMENTATION_OPTIONS.pagename\n * - DOCUMENTATION_OPTIONS.theme_switcher_url\n */\n\n/**\n * path component of URL\n */\nvar getCurrentUrlPath = () => {\n  if (DOCUMENTATION_OPTIONS.BUILDER == \"dirhtml\") {\n    return DOCUMENTATION_OPTIONS.pagename.endsWith(\"index\")\n      ? `${DOCUMENTATION_OPTIONS.pagename.substring(0, DOCUMENTATION_OPTIONS.pagename.length - 'index'.length)}`\n      : `${DOCUMENTATION_OPTIONS.pagename}/`;\n  }\n  return `${DOCUMENTATION_OPTIONS.pagename}.html`;\n};\n\n/**\n * Allow user to dismiss the warning banner about the docs version being dev / old.\n * We store the dismissal date and version, to give us flexibility about making the\n * dismissal last for longer than one browser session, if we decide to do that.\n *\n * @param {event} event the event that trigger the check\n */\nasync function DismissBannerAndStorePref(event) {\n  const banner = document.querySelector(\"#bd-header-version-warning\");\n  banner.remove();\n  const version = DOCUMENTATION_OPTIONS.VERSION;\n  const now = new Date();\n  const banner_pref = JSON.parse(\n    localStorage.getItem(\"pst_banner_pref\") || \"{}\",\n  );\n  console.debug(\n    `[PST] Dismissing the version warning banner on ${version} starting ${now}.`,\n  );\n  banner_pref[version] = now;\n  localStorage.setItem(\"pst_banner_pref\", JSON.stringify(banner_pref));\n}\n\n/**\n * Check if corresponding page path exists in other version of docs\n * and, if so, go there instead of the homepage of the other docs version\n *\n * @param {event} event the event that trigger the check\n */\nasync function checkPageExistsAndRedirect(event) {\n  // ensure we don't follow the initial link\n  event.preventDefault();\n  const currentFilePath = getCurrentUrlPath();\n  let tryUrl = event.currentTarget.getAttribute(\"href\");\n  let otherDocsHomepage = tryUrl.replace(currentFilePath, \"\");\n  try {\n    let head = await fetch(tryUrl, { method: \"HEAD\" });\n    if (head.ok) {\n      location.href = tryUrl; // the page exists, go there\n    } else {\n      location.href = otherDocsHomepage;\n    }\n  } catch (err) {\n    // something went wrong, probably CORS restriction, fallback to other docs homepage\n    location.href = otherDocsHomepage;\n  }\n}\n\n/**\n * Load and parse the version switcher JSON file from an absolute or relative URL.\n *\n * @param {string} url The URL to load version switcher entries from.\n */\nasync function fetchVersionSwitcherJSON(url) {\n  // first check if it's a valid URL\n  try {\n    var result = new URL(url);\n  } catch (err) {\n    if (err instanceof TypeError) {\n      if (!window.location.origin) {\n        // window.location.origin is null for local static sites\n        // (ie. window.location.protocol == 'file:')\n        //\n        // TODO: Fix this to return the static version switcher by working out\n        // how to get the correct path to the switcher JSON file on local static builds\n        return null;\n      }\n      // assume we got a relative path, and fix accordingly. But first, we need to\n      // use `fetch()` to follow redirects so we get the correct final base URL\n      const origin = await fetch(window.location.origin, { method: \"HEAD\" });\n      result = new URL(url, origin.url);\n    } else {\n      // something unexpected happened\n      throw err;\n    }\n  }\n  // load and return the JSON\n  const response = await fetch(result);\n  const data = await response.json();\n  return data;\n}\n\n// Populate the version switcher from the JSON data\nfunction populateVersionSwitcher(data, versionSwitcherBtns) {\n  const currentFilePath = getCurrentUrlPath();\n  versionSwitcherBtns.forEach((btn) => {\n    // Set empty strings by default so that these attributes exist and can be used in CSS selectors\n    btn.dataset[\"activeVersionName\"] = \"\";\n    btn.dataset[\"activeVersion\"] = \"\";\n  });\n  // in case there are multiple entries with the same version string, this helps us\n  // decide which entry's `name` to put on the button itself. Without this, it would\n  // always be the *last* version-matching entry; now it will be either the\n  // version-matching entry that is also marked as `\"preferred\": true`, or if that\n  // doesn't exist: the *first* version-matching entry.\n  data = data.map((entry) => {\n    // does this entry match the version that we're currently building/viewing?\n    entry.match =\n      entry.version == DOCUMENTATION_OPTIONS.theme_switcher_version_match;\n    entry.preferred = entry.preferred || false;\n    // if no custom name specified (e.g., \"latest\"), use version string\n    if (!(\"name\" in entry)) {\n      entry.name = entry.version;\n    }\n    return entry;\n  });\n  const hasMatchingPreferredEntry = data\n    .map((entry) => entry.preferred && entry.match)\n    .some(Boolean);\n  var foundMatch = false;\n  // create links to the corresponding page in the other docs versions\n  data.forEach((entry) => {\n    // create the node\n    const anchor = document.createElement(\"a\");\n    anchor.setAttribute(\n      \"class\",\n      \"dropdown-item list-group-item list-group-item-action py-1\",\n    );\n    anchor.setAttribute(\"href\", `${entry.url}${currentFilePath}`);\n    anchor.setAttribute(\"role\", \"option\");\n    const span = document.createElement(\"span\");\n    span.textContent = `${entry.name}`;\n    anchor.appendChild(span);\n    // Add dataset values for the version and name in case people want\n    // to apply CSS styling based on this information.\n    anchor.dataset[\"versionName\"] = entry.name;\n    anchor.dataset[\"version\"] = entry.version;\n    // replace dropdown button text with the preferred display name of the\n    // currently-viewed version, rather than using sphinx's {{ version }} variable.\n    // also highlight the dropdown entry for the currently-viewed version's entry\n    let matchesAndIsPreferred = hasMatchingPreferredEntry && entry.preferred;\n    let matchesAndIsFirst =\n      !hasMatchingPreferredEntry && !foundMatch && entry.match;\n    if (matchesAndIsPreferred || matchesAndIsFirst) {\n      anchor.classList.add(\"active\");\n      versionSwitcherBtns.forEach((btn) => {\n        btn.innerText = entry.name;\n        btn.dataset[\"activeVersionName\"] = entry.name;\n        btn.dataset[\"activeVersion\"] = entry.version;\n      });\n      foundMatch = true;\n    }\n    // There may be multiple version-switcher elements, e.g. one\n    // in a slide-over panel displayed on smaller screens.\n    document.querySelectorAll(\".version-switcher__menu\").forEach((menu) => {\n      // we need to clone the node for each menu, but onclick attributes are not\n      // preserved by `.cloneNode()` so we add onclick here after cloning.\n      let node = anchor.cloneNode(true);\n      node.onclick = checkPageExistsAndRedirect;\n      // on click, AJAX calls will check if the linked page exists before\n      // trying to redirect, and if not, will redirect to the homepage\n      // for that version of the docs.\n      menu.append(node);\n    });\n  });\n}\n\n/*******************************************************************************\n * Warning banner when viewing non-stable version of the docs.\n */\n\n/**\n * Show a warning banner when viewing a non-stable version of the docs.\n *\n * adapted 2023-06 from https://mne.tools/versionwarning.js, which was\n * originally adapted 2020-05 from https://scikit-learn.org/versionwarning.js\n *\n * @param {Array} data The version data used to populate the switcher menu.\n */\nfunction showVersionWarningBanner(data) {\n  var version = DOCUMENTATION_OPTIONS.VERSION;\n  // figure out what latest stable version is\n  var preferredEntries = data.filter((entry) => entry.preferred);\n  if (preferredEntries.length !== 1) {\n    const howMany = preferredEntries.length == 0 ? \"No\" : \"Multiple\";\n    console.log(\n      `[PST] ${howMany} versions marked \"preferred\" found in versions JSON, ignoring.`,\n    );\n    return;\n  }\n  const preferredVersion = preferredEntries[0].version;\n  const preferredURL = preferredEntries[0].url;\n  // if already on preferred version, nothing to do\n  const versionsAreComparable = validate(version) && validate(preferredVersion);\n  if (versionsAreComparable && compare(version, preferredVersion, \"=\")) {\n    console.log(\n      \"[PST]: This is the preferred version of the docs, not showing the warning banner.\",\n    );\n    return;\n  }\n  // check if banner has been dismissed recently\n  const dismiss_date_str = JSON.parse(\n    localStorage.getItem(\"pst_banner_pref\") || \"{}\",\n  )[version];\n  if (dismiss_date_str != null) {\n    const dismiss_date = new Date(dismiss_date_str);\n    const now = new Date();\n    const milliseconds_in_a_day = 24 * 60 * 60 * 1000;\n    const days_passed = (now - dismiss_date) / milliseconds_in_a_day;\n    const timeout_in_days = 14;\n    if (days_passed < timeout_in_days) {\n      console.info(\n        `[PST] Suppressing version warning banner; was dismissed ${Math.floor(\n          days_passed,\n        )} day(s) ago`,\n      );\n      return;\n    }\n  }\n\n  // now construct the warning banner\n  const banner = document.querySelector(\"#bd-header-version-warning\");\n  const middle = document.createElement(\"div\");\n  const inner = document.createElement(\"div\");\n  const bold = document.createElement(\"strong\");\n  const button = document.createElement(\"a\");\n  const close_btn = document.createElement(\"a\");\n  // these classes exist since pydata-sphinx-theme v0.10.0\n  // the init class is used for animation\n  middle.classList = \"bd-header-announcement__content  ms-auto me-auto\";\n  inner.classList = \"sidebar-message\";\n  button.classList =\n    \"btn text-wrap font-weight-bold ms-3 my-1 align-baseline pst-button-link-to-stable-version\";\n  button.href = `${preferredURL}${getCurrentUrlPath()}`;\n  button.innerText = \"Switch to stable version\";\n  button.onclick = checkPageExistsAndRedirect;\n  close_btn.classList = \"ms-3 my-1 align-baseline\";\n  const close_x = document.createElement(\"i\");\n  close_btn.append(close_x);\n  close_x.classList = \"fa-solid fa-xmark\";\n  close_btn.onclick = DismissBannerAndStorePref;\n  // add the version-dependent text\n  inner.innerText = \"This is documentation for \";\n  const isDev =\n    version.includes(\"dev\") ||\n    version.includes(\"rc\") ||\n    version.includes(\"pre\");\n  const newerThanPreferred =\n    versionsAreComparable && compare(version, preferredVersion, \">\");\n  if (isDev || newerThanPreferred) {\n    bold.innerText = \"an unstable development version\";\n  } else if (versionsAreComparable && compare(version, preferredVersion, \"<\")) {\n    bold.innerText = `an old version (${version})`;\n  } else if (!version) {\n    bold.innerText = \"an unknown version\"; // e.g., an empty string\n  } else {\n    bold.innerText = `version ${version}`;\n  }\n  banner.appendChild(middle);\n  banner.append(close_btn);\n  middle.appendChild(inner);\n  inner.appendChild(bold);\n  inner.appendChild(document.createTextNode(\".\"));\n  inner.appendChild(button);\n  banner.classList.remove(\"d-none\");\n}\n\n/*******************************************************************************\n * MutationObserver to move the ReadTheDocs button\n */\n\n/**\n * intercept the RTD flyout and place it in the rtd-footer-container if existing\n * if not it stays where on top of the page\n */\nfunction initRTDObserver() {\n  const mutatedCallback = (mutationList, observer) => {\n    mutationList.forEach((mutation) => {\n      // Check whether the mutation is for RTD, which will have a specific structure\n      if (mutation.addedNodes.length === 0) {\n        return;\n      }\n      if (mutation.addedNodes[0].data === undefined) {\n        return;\n      }\n      if (mutation.addedNodes[0].data.search(\"Inserted RTD Footer\") != -1) {\n        mutation.addedNodes.forEach((node) => {\n          document.getElementById(\"rtd-footer-container\").append(node);\n        });\n      }\n    });\n  };\n\n  const observer = new MutationObserver(mutatedCallback);\n  const config = { childList: true };\n  observer.observe(document.body, config);\n}\n\nasync function fetchAndUseVersions() {\n  // fetch the JSON version data (only once), then use it to populate the version\n  // switcher and maybe show the version warning bar\n  var versionSwitcherBtns = document.querySelectorAll(\n    \".version-switcher__button\",\n  );\n  const hasSwitcherMenu = versionSwitcherBtns.length > 0;\n  const hasVersionsJSON = DOCUMENTATION_OPTIONS.hasOwnProperty(\n    \"theme_switcher_json_url\",\n  );\n  const wantsWarningBanner = DOCUMENTATION_OPTIONS.show_version_warning_banner;\n\n  if (hasVersionsJSON && (hasSwitcherMenu || wantsWarningBanner)) {\n    const data = await fetchVersionSwitcherJSON(\n      DOCUMENTATION_OPTIONS.theme_switcher_json_url,\n    );\n    // TODO: remove the `if(data)` once the `return null` is fixed within fetchVersionSwitcherJSON.\n    // We don't really want the switcher and warning bar to silently not work.\n    if (data) {\n      populateVersionSwitcher(data, versionSwitcherBtns);\n      if (wantsWarningBanner) {\n        showVersionWarningBanner(data);\n      }\n    }\n  }\n}\n\n/*******************************************************************************\n * Sidebar modals (for mobile / narrow screens)\n */\nfunction setupMobileSidebarKeyboardHandlers() {\n  // These are the left and right sidebars for wider screens. We cut and paste\n  // the content from these widescreen sidebars into the mobile dialogs, when\n  // the user clicks the hamburger icon button\n  const primarySidebar = document.getElementById(\"pst-primary-sidebar\");\n  const secondarySidebar = document.getElementById(\"pst-secondary-sidebar\");\n\n  // These are the corresponding left/right <dialog> elements, which are empty\n  // until the user clicks the hamburger icon\n  const primaryDialog = document.getElementById(\"pst-primary-sidebar-modal\");\n  const secondaryDialog = document.getElementById(\n    \"pst-secondary-sidebar-modal\",\n  );\n\n  // These are the hamburger-style buttons in the header nav bar. They only\n  // appear at narrow screen width.\n  const primaryToggle = document.querySelector(\".primary-toggle\");\n  const secondaryToggle = document.querySelector(\".secondary-toggle\");\n\n  // Cut nodes and classes from `from`, paste into/onto `to`\n  const cutAndPasteNodesAndClasses = (from, to) => {\n    Array.from(from.childNodes).forEach((node) => to.appendChild(node));\n    Array.from(from.classList).forEach((cls) => {\n      from.classList.remove(cls);\n      to.classList.add(cls);\n    });\n  };\n\n  // Hook up the ways to open and close the dialog\n  [\n    [primaryToggle, primaryDialog, primarySidebar],\n    [secondaryToggle, secondaryDialog, secondarySidebar],\n  ].forEach(([toggleButton, dialog, sidebar]) => {\n    if (!toggleButton || !dialog || !sidebar) {\n      return;\n    }\n\n    // Clicking the button can only open the sidebar, not close it.\n    // Clicking the button is also the *only* way to open the sidebar.\n    toggleButton.addEventListener(\"click\", (event) => {\n      event.preventDefault();\n      event.stopPropagation();\n\n      // When we open the dialog, we cut and paste the nodes and classes from\n      // the widescreen sidebar into the dialog\n      cutAndPasteNodesAndClasses(sidebar, dialog);\n\n      dialog.showModal();\n    });\n\n    // Listen for clicks on the backdrop in order to close the dialog\n    dialog.addEventListener(\"click\", closeDialogOnBackdropClick);\n\n    // We have to manually attach the escape key because there's some code in\n    // Sphinx's Sphinx_highlight.js that prevents the default behavior of the\n    // escape key\n    dialog.addEventListener(\"keydown\", (event) => {\n      if (event.key === \"Escape\") {\n        event.preventDefault();\n        event.stopPropagation();\n        dialog.close();\n      }\n    });\n\n    // When the dialog is closed, move the nodes (and classes) back to their\n    // original place\n    dialog.addEventListener(\"close\", () => {\n      cutAndPasteNodesAndClasses(dialog, sidebar);\n    });\n  });\n}\n\n/**\n * When the page loads, or the window resizes, or descendant nodes are added or\n * removed from the main element, check all code blocks and Jupyter notebook\n * outputs, and for each one that has scrollable overflow, set tabIndex = 0.\n */\nfunction addTabStopsToScrollableElements() {\n  const updateTabStops = () => {\n    document\n      .querySelectorAll(\n        [\n          // code blocks\n          \"pre\",\n          // NBSphinx notebook output\n          \".nboutput > .output_area\",\n          // Myst-NB\n          \".cell_output > .output\",\n          // ipywidgets\n          \".jp-RenderedHTMLCommon\",\n          // [rST table nodes](https://www.docutils.org/docs/ref/doctree.html#table)\n          \".pst-scrollable-table-container\",\n        ].join(\", \"),\n      )\n      .forEach((el) => {\n        el.tabIndex =\n          el.scrollWidth > el.clientWidth || el.scrollHeight > el.clientHeight\n            ? 0\n            : -1;\n      });\n  };\n  const debouncedUpdateTabStops = debounce(updateTabStops, 300);\n\n  // On window resize\n  window.addEventListener(\"resize\", debouncedUpdateTabStops);\n\n  // The following MutationObserver is for ipywidgets, which take some time to\n  // finish loading and rendering on the page (so even after the \"load\" event is\n  // fired, they still have not finished rendering). Would be nice to replace\n  // the MutationObserver if there is a way to hook into the ipywidgets code to\n  // know when it is done.\n  const mainObserver = new MutationObserver(debouncedUpdateTabStops);\n\n  // On descendant nodes added/removed from main element\n  mainObserver.observe(document.getElementById(\"main-content\"), {\n    subtree: true,\n    childList: true,\n  });\n\n  // On page load (when this function gets called)\n  updateTabStops();\n}\nfunction debounce(callback, wait) {\n  let timeoutId = null;\n  return (...args) => {\n    clearTimeout(timeoutId);\n    timeoutId = setTimeout(() => {\n      callback(...args);\n    }, wait);\n  };\n}\n\n/*******************************************************************************\n * Announcement banner - fetch and load remote HTML\n */\nasync function setupAnnouncementBanner() {\n  const banner = document.querySelector(\".bd-header-announcement\");\n  const { pstAnnouncementUrl } = banner ? banner.dataset : null;\n\n  if (!pstAnnouncementUrl) {\n    return;\n  }\n\n  try {\n    const response = await fetch(pstAnnouncementUrl);\n    if (!response.ok) {\n      throw new Error(\n        `[PST]: HTTP response status not ok: ${response.status} ${response.statusText}`,\n      );\n    }\n    const data = await response.text();\n    if (data.length === 0) {\n      console.log(`[PST]: Empty announcement at: ${pstAnnouncementUrl}`);\n      return;\n    }\n    banner.innerHTML = `<div class=\"bd-header-announcement__content\">${data}</div>`;\n    banner.classList.remove(\"d-none\");\n  } catch (_error) {\n    console.log(`[PST]: Failed to load announcement at: ${pstAnnouncementUrl}`);\n    console.error(_error);\n  }\n}\n\n/*******************************************************************************\n * Reveal (and animate) the banners (version warning, announcement) together\n */\nasync function fetchRevealBannersTogether() {\n  // Wait until finished fetching and loading banners\n  await Promise.allSettled([fetchAndUseVersions(), setupAnnouncementBanner()]);\n\n  // The revealer element should have CSS rules that set height to 0, overflow\n  // to hidden, and an animation transition on the height (unless the user has\n  // turned off animations)\n  const revealer = document.querySelector(\".pst-async-banner-revealer\");\n  if (!revealer) {\n    return;\n  }\n\n  // Remove the d-none (display-none) class to calculate the children heights.\n  revealer.classList.remove(\"d-none\");\n\n  // Add together the heights of the element's children\n  const height = Array.from(revealer.children).reduce(\n    (height, el) => height + el.offsetHeight,\n    0,\n  );\n\n  // Use the calculated height to give the revealer a non-zero height (if\n  // animations allowed, the height change will animate)\n  revealer.style.setProperty(\"height\", `${height}px`);\n\n  // Wait for a bit more than 300ms (the transition duration), then set height\n  // to auto so the banner can resize if the 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\ No newline at end of file
diff --git a/_static/scripts/sphinx-book-theme.js b/_static/scripts/sphinx-book-theme.js
new file mode 100644
index 000000000..481ba0c19
--- /dev/null
+++ b/_static/scripts/sphinx-book-theme.js
@@ -0,0 +1,2 @@
+(()=>{"use strict";var e=e=>{"loading"!=document.readyState?e():document.addEventListener?document.addEventListener("DOMContentLoaded",e):document.attachEvent("onreadystatechange",(function(){"complete"==document.readyState&&e()}))};window.initThebeSBT=()=>{var e=document.querySelector("section h1");e.nextElementSibling.classList.contains("thebe-launch-button")||e.insertAdjacentHTML("afterend","<button class='thebe-launch-button'></button>"),initThebe()},window.toggleFullScreen=()=>{var e=document.fullscreenElement&&null!==document.fullscreenElement||document.webkitFullscreenElement&&null!==document.webkitFullscreenElement;let t=document.documentElement;e?(console.log("[SBT]: Exiting full screen"),document.exitFullscreen?document.exitFullscreen():document.webkitExitFullscreen&&document.webkitExitFullscreen()):(console.log("[SBT]: Entering full screen"),t.requestFullscreen?t.requestFullscreen():t.webkitRequestFullscreen&&t.webkitRequestFullscreen())},e((()=>{var e=[];let t=new IntersectionObserver(((t,n)=>{t.forEach((t=>{if(t.isIntersecting)e.push(t.target);else for(let n=0;n<e.length;n++)if(e[n]===t.target){e.splice(n,1);break}})),e.length>0?document.querySelector("div.bd-sidebar-secondary").classList.add("hide"):document.querySelector("div.bd-sidebar-secondary").classList.remove("hide")}),{rootMargin:"0px 0px -33% 0px"}),n=[];["marginnote","sidenote","margin","margin-caption","full-width","sidebar","popout"].forEach((e=>{n.push(`.${e}`,`.tag_${e}`,`.${e.replace("-","_")}`,`.tag_${e.replace("-","_")}`)})),document.querySelectorAll(n.join(", ")).forEach((e=>{t.observe(e)})),new IntersectionObserver(((e,t)=>{e[0].boundingClientRect.y<0?document.body.classList.add("scrolled"):document.body.classList.remove("scrolled")})).observe(document.querySelector(".sbt-scroll-pixel-helper"))})),e((function(){var e=[".bd-header-announcement",".bd-header",".bd-header-article",".bd-sidebar-primary",".bd-sidebar-secondary",".bd-footer-article",".bd-footer-content",".bd-footer"].join(",");document.querySelectorAll(e).forEach((e=>{e.classList.add("noprint")}))}))})();
+//# sourceMappingURL=sphinx-book-theme.js.map
\ No newline at end of file
diff --git a/_static/scripts/sphinx-book-theme.js.map b/_static/scripts/sphinx-book-theme.js.map
new file mode 100644
index 000000000..2cc145ab8
--- /dev/null
+++ b/_static/scripts/sphinx-book-theme.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"scripts/sphinx-book-theme.js","mappings":"mBASA,IAAIA,EAAsBC,IACG,WAAvBC,SAASC,WACXF,IACSC,SAASE,iBAClBF,SAASE,iBAAiB,mBAAoBH,GAE9CC,SAASG,YAAY,sBAAsB,WACd,YAAvBH,SAASC,YAA0BF,GACzC,GACF,EAkKFK,OAAOC,aAtCY,KACjB,IAAIC,EAAQN,SAASO,cAAc,cACrBD,EAAME,mBAGPC,UAAUC,SAAS,wBAC9BJ,EAAMK,mBACJ,WACA,iDAIJC,WAAW,EA2BbR,OAAOS,iBAzJgB,KACrB,IAAIC,EACDd,SAASe,mBAAoD,OAA/Bf,SAASe,mBACvCf,SAASgB,yBAC6B,OAArChB,SAASgB,wBACb,IAAIC,EAASjB,SAASkB,gBACjBJ,GAQHK,QAAQC,IAAI,8BACRpB,SAASqB,eACXrB,SAASqB,iBACArB,SAASsB,sBAClBtB,SAASsB,yBAXXH,QAAQC,IAAI,+BACRH,EAAOM,kBACTN,EAAOM,oBACEN,EAAOO,yBAChBP,EAAOO,0BASX,EA0IF1B,GAzHkB,KAChB,IAAI2B,EAAgB,GACpB,IAwCIC,EAAc,IAAIC,sBAxCA,CAACC,EAASC,KAE9BD,EAAQE,SAASC,IACf,GAAIA,EAAMC,eAERP,EAAcQ,KAAKF,EAAMG,aAGzB,IAAK,IAAIC,EAAK,EAAGA,EAAKV,EAAcW,OAAQD,IAC1C,GAAIV,EAAcU,KAAQJ,EAAMG,OAAQ,CACtCT,EAAcY,OAAOF,EAAI,GACzB,KACF,CAEJ,IAIEV,EAAcW,OAAS,EACzBpC,SAASO,cAAc,4BAA4BE,UAAU6B,IAAI,QAEjEtC,SACGO,cAAc,4BACdE,UAAU8B,OAAO,OACtB,GAYY,CAEZC,WAAY,qBAaVC,EAAiB,GATG,CACtB,aACA,WACA,SACA,iBACA,aACA,UACA,UAGcX,SAASK,IAEvBM,EAAeR,KAEX,IAAIE,IACJ,QAAQA,IACR,IAAIA,EAAGO,QAAQ,IAAK,OACpB,QAAQP,EAAGO,QAAQ,IAAK,OAE3B,IAEH1C,SAAS2C,iBAAiBF,EAAeG,KAAK,OAAOd,SAASK,IAC5DT,EAAYmB,QAAQV,EAAG,IAIJ,IAAIR,sBA1CO,CAACC,EAASC,KAEpCD,EAAQ,GAAGkB,mBAAmBC,EAAI,EACpC/C,SAASgD,KAAKvC,UAAU6B,IAAI,YAE5BtC,SAASgD,KAAKvC,UAAU8B,OAAO,WACjC,IAqCaM,QAAQ7C,SAASO,cAAc,4BAA4B,IAmD5ET,GA1BA,WACE,IAAImD,EAAkB,CACpB,0BACA,aACA,qBACA,sBACA,wBACA,qBACA,qBACA,cACAL,KAAK,KACP5C,SAAS2C,iBAAiBM,GAAiBnB,SAASK,IAClDA,EAAG1B,UAAU6B,IAAI,UAAU,GAE/B,G","sources":["webpack://sphinx_book_theme/./src/sphinx_book_theme/assets/scripts/index.js"],"sourcesContent":["// Import CSS variables\n// ref: https://css-tricks.com/getting-javascript-to-talk-to-css-and-sass/\nimport \"../styles/index.scss\";\n\n/**\n * A helper function to load scripts when the DOM is loaded.\n * This waits for everything to be on the page first before running, since\n * some functionality doesn't behave properly until everything is ready.\n */\nvar sbRunWhenDOMLoaded = (cb) => {\n  if (document.readyState != \"loading\") {\n    cb();\n  } else if (document.addEventListener) {\n    document.addEventListener(\"DOMContentLoaded\", cb);\n  } else {\n    document.attachEvent(\"onreadystatechange\", function () {\n      if (document.readyState == \"complete\") cb();\n    });\n  }\n};\n\n/**\n * Toggle full-screen with button\n *\n * There are some browser-specific hacks in here:\n * - Safari requires a `webkit` prefix, so this uses conditionals to check for that\n *   ref: https://developer.mozilla.org/en-US/docs/Web/API/Fullscreen_API\n */\nvar toggleFullScreen = () => {\n  var isInFullScreen =\n    (document.fullscreenElement && document.fullscreenElement !== null) ||\n    (document.webkitFullscreenElement &&\n      document.webkitFullscreenElement !== null);\n  let docElm = document.documentElement;\n  if (!isInFullScreen) {\n    console.log(\"[SBT]: Entering full screen\");\n    if (docElm.requestFullscreen) {\n      docElm.requestFullscreen();\n    } else if (docElm.webkitRequestFullscreen) {\n      docElm.webkitRequestFullscreen();\n    }\n  } else {\n    console.log(\"[SBT]: Exiting full screen\");\n    if (document.exitFullscreen) {\n      document.exitFullscreen();\n    } else if (document.webkitExitFullscreen) {\n      document.webkitExitFullscreen();\n    }\n  }\n};\n\n/**\n * Manage scrolling behavior. This is primarily two things:\n *\n * 1. Hide the Table of Contents any time sidebar content is on the screen.\n *\n * This will be triggered any time a sidebar item enters or exits the screen.\n * It adds/removes items from an array if they have entered the screen, and\n * removes them when they exit the screen. It hides the TOC if anything is\n * on-screen.\n *\n * ref: https://developer.mozilla.org/en-US/docs/Web/API/Intersection_Observer_API\n *\n * 2. Add a `scrolled` class to <body> to trigger CSS changes.\n */\nvar initTocHide = () => {\n  var onScreenItems = [];\n  let hideTocCallback = (entries, observer) => {\n    // Check whether any sidebar item is displayed\n    entries.forEach((entry) => {\n      if (entry.isIntersecting) {\n        // If an element just came on screen, add it our list\n        onScreenItems.push(entry.target);\n      } else {\n        // Otherwise, if it's in our list then remove it\n        for (let ii = 0; ii < onScreenItems.length; ii++) {\n          if (onScreenItems[ii] === entry.target) {\n            onScreenItems.splice(ii, 1);\n            break;\n          }\n        }\n      }\n    });\n\n    // Hide the TOC if any margin content is displayed on the screen\n    if (onScreenItems.length > 0) {\n      document.querySelector(\"div.bd-sidebar-secondary\").classList.add(\"hide\");\n    } else {\n      document\n        .querySelector(\"div.bd-sidebar-secondary\")\n        .classList.remove(\"hide\");\n    }\n  };\n  let manageScrolledClassOnBody = (entries, observer) => {\n    // The pixel is at the top, so if we're < 0 that it means we've scrolled\n    if (entries[0].boundingClientRect.y < 0) {\n      document.body.classList.add(\"scrolled\");\n    } else {\n      document.body.classList.remove(\"scrolled\");\n    }\n  };\n\n  // Set up the intersection observer to watch all margin content\n  let options = {\n    // Trigger callback when the top of a margin item is 1/3 up the screen\n    rootMargin: \"0px 0px -33% 0px\",\n  };\n  let tocObserver = new IntersectionObserver(hideTocCallback, options);\n  // TODO: deprecate popout after v0.5.0\n  const selectorClasses = [\n    \"marginnote\",\n    \"sidenote\",\n    \"margin\",\n    \"margin-caption\",\n    \"full-width\",\n    \"sidebar\",\n    \"popout\",\n  ];\n  let marginSelector = [];\n  selectorClasses.forEach((ii) => {\n    // Use three permutations of each class name because `tag_` and `_` used to be supported\n    marginSelector.push(\n      ...[\n        `.${ii}`,\n        `.tag_${ii}`,\n        `.${ii.replace(\"-\", \"_\")}`,\n        `.tag_${ii.replace(\"-\", \"_\")}`,\n      ],\n    );\n  });\n  document.querySelectorAll(marginSelector.join(\", \")).forEach((ii) => {\n    tocObserver.observe(ii);\n  });\n\n  // Set up the observer to check if we've scrolled from top of page\n  let scrollObserver = new IntersectionObserver(manageScrolledClassOnBody);\n  scrollObserver.observe(document.querySelector(\".sbt-scroll-pixel-helper\"));\n};\n\n/**\n * Activate Thebe with a custom button click.\n */\nvar initThebeSBT = () => {\n  var title = document.querySelector(\"section h1\");\n  var sibling = title.nextElementSibling;\n  // If the next element after the title isn't a thebe button, add one now.\n  // That way it is initiatlized when thebe is first-clicked and isn't re-added after.\n  if (!sibling.classList.contains(\"thebe-launch-button\")) {\n    title.insertAdjacentHTML(\n      \"afterend\",\n      \"<button class='thebe-launch-button'></button>\",\n    );\n  }\n  // This function is provided by sphinx-thebe\n  initThebe();\n};\n\n/**\n * Add no print class to certain DOM elements\n */\n\nfunction addNoPrint() {\n  var noPrintSelector = [\n    \".bd-header-announcement\",\n    \".bd-header\",\n    \".bd-header-article\",\n    \".bd-sidebar-primary\",\n    \".bd-sidebar-secondary\",\n    \".bd-footer-article\",\n    \".bd-footer-content\",\n    \".bd-footer\",\n  ].join(\",\");\n  document.querySelectorAll(noPrintSelector).forEach((ii) => {\n    ii.classList.add(\"noprint\");\n  });\n}\n\n/**\n * Set up callback functions for UI click actions\n */\nwindow.initThebeSBT = initThebeSBT;\nwindow.toggleFullScreen = toggleFullScreen;\n\n/**\n * Set up functions to load when the DOM is ready\n */\nsbRunWhenDOMLoaded(initTocHide);\nsbRunWhenDOMLoaded(addNoPrint);\n"],"names":["sbRunWhenDOMLoaded","cb","document","readyState","addEventListener","attachEvent","window","initThebeSBT","title","querySelector","nextElementSibling","classList","contains","insertAdjacentHTML","initThebe","toggleFullScreen","isInFullScreen","fullscreenElement","webkitFullscreenElement","docElm","documentElement","console","log","exitFullscreen","webkitExitFullscreen","requestFullscreen","webkitRequestFullscreen","onScreenItems","tocObserver","IntersectionObserver","entries","observer","forEach","entry","isIntersecting","push","target","ii","length","splice","add","remove","rootMargin","marginSelector","replace","querySelectorAll","join","observe","boundingClientRect","y","body","noPrintSelector"],"sourceRoot":""}
\ No newline at end of file
diff --git a/_static/searchtools.js b/_static/searchtools.js
new file mode 100644
index 000000000..2c774d17a
--- /dev/null
+++ b/_static/searchtools.js
@@ -0,0 +1,632 @@
+/*
+ * Sphinx JavaScript utilities for the full-text search.
+ */
+"use strict";
+
+/**
+ * Simple result scoring code.
+ */
+if (typeof Scorer === "undefined") {
+  var Scorer = {
+    // Implement the following function to further tweak the score for each result
+    // The function takes a result array [docname, title, anchor, descr, score, filename]
+    // and returns the new score.
+    /*
+    score: result => {
+      const [docname, title, anchor, descr, score, filename, kind] = result
+      return score
+    },
+    */
+
+    // query matches the full name of an object
+    objNameMatch: 11,
+    // or matches in the last dotted part of the object name
+    objPartialMatch: 6,
+    // Additive scores depending on the priority of the object
+    objPrio: {
+      0: 15, // used to be importantResults
+      1: 5, // used to be objectResults
+      2: -5, // used to be unimportantResults
+    },
+    //  Used when the priority is not in the mapping.
+    objPrioDefault: 0,
+
+    // query found in title
+    title: 15,
+    partialTitle: 7,
+    // query found in terms
+    term: 5,
+    partialTerm: 2,
+  };
+}
+
+// Global search result kind enum, used by themes to style search results.
+class SearchResultKind {
+    static get index() { return  "index"; }
+    static get object() { return "object"; }
+    static get text() { return "text"; }
+    static get title() { return "title"; }
+}
+
+const _removeChildren = (element) => {
+  while (element && element.lastChild) element.removeChild(element.lastChild);
+};
+
+/**
+ * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions#escaping
+ */
+const _escapeRegExp = (string) =>
+  string.replace(/[.*+\-?^${}()|[\]\\]/g, "\\$&"); // $& means the whole matched string
+
+const _displayItem = (item, searchTerms, highlightTerms) => {
+  const docBuilder = DOCUMENTATION_OPTIONS.BUILDER;
+  const docFileSuffix = DOCUMENTATION_OPTIONS.FILE_SUFFIX;
+  const docLinkSuffix = DOCUMENTATION_OPTIONS.LINK_SUFFIX;
+  const showSearchSummary = DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY;
+  const contentRoot = document.documentElement.dataset.content_root;
+
+  const [docName, title, anchor, descr, score, _filename, kind] = item;
+
+  let listItem = document.createElement("li");
+  // Add a class representing the item's type:
+  // can be used by a theme's CSS selector for styling
+  // See SearchResultKind for the class names.
+  listItem.classList.add(`kind-${kind}`);
+  let requestUrl;
+  let linkUrl;
+  if (docBuilder === "dirhtml") {
+    // dirhtml builder
+    let dirname = docName + "/";
+    if (dirname.match(/\/index\/$/))
+      dirname = dirname.substring(0, dirname.length - 6);
+    else if (dirname === "index/") dirname = "";
+    requestUrl = contentRoot + dirname;
+    linkUrl = requestUrl;
+  } else {
+    // normal html builders
+    requestUrl = contentRoot + docName + docFileSuffix;
+    linkUrl = docName + docLinkSuffix;
+  }
+  let linkEl = listItem.appendChild(document.createElement("a"));
+  linkEl.href = linkUrl + anchor;
+  linkEl.dataset.score = score;
+  linkEl.innerHTML = title;
+  if (descr) {
+    listItem.appendChild(document.createElement("span")).innerHTML =
+      " (" + descr + ")";
+    // highlight search terms in the description
+    if (SPHINX_HIGHLIGHT_ENABLED)  // set in sphinx_highlight.js
+      highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted"));
+  }
+  else if (showSearchSummary)
+    fetch(requestUrl)
+      .then((responseData) => responseData.text())
+      .then((data) => {
+        if (data)
+          listItem.appendChild(
+            Search.makeSearchSummary(data, searchTerms, anchor)
+          );
+        // highlight search terms in the summary
+        if (SPHINX_HIGHLIGHT_ENABLED)  // set in sphinx_highlight.js
+          highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted"));
+      });
+  Search.output.appendChild(listItem);
+};
+const _finishSearch = (resultCount) => {
+  Search.stopPulse();
+  Search.title.innerText = _("Search Results");
+  if (!resultCount)
+    Search.status.innerText = Documentation.gettext(
+      "Your search did not match any documents. Please make sure that all words are spelled correctly and that you've selected enough categories."
+    );
+  else
+    Search.status.innerText = Documentation.ngettext(
+      "Search finished, found one page matching the search query.",
+      "Search finished, found ${resultCount} pages matching the search query.",
+      resultCount,
+    ).replace('${resultCount}', resultCount);
+};
+const _displayNextItem = (
+  results,
+  resultCount,
+  searchTerms,
+  highlightTerms,
+) => {
+  // results left, load the summary and display it
+  // this is intended to be dynamic (don't sub resultsCount)
+  if (results.length) {
+    _displayItem(results.pop(), searchTerms, highlightTerms);
+    setTimeout(
+      () => _displayNextItem(results, resultCount, searchTerms, highlightTerms),
+      5
+    );
+  }
+  // search finished, update title and status message
+  else _finishSearch(resultCount);
+};
+// Helper function used by query() to order search results.
+// Each input is an array of [docname, title, anchor, descr, score, filename, kind].
+// Order the results by score (in opposite order of appearance, since the
+// `_displayNextItem` function uses pop() to retrieve items) and then alphabetically.
+const _orderResultsByScoreThenName = (a, b) => {
+  const leftScore = a[4];
+  const rightScore = b[4];
+  if (leftScore === rightScore) {
+    // same score: sort alphabetically
+    const leftTitle = a[1].toLowerCase();
+    const rightTitle = b[1].toLowerCase();
+    if (leftTitle === rightTitle) return 0;
+    return leftTitle > rightTitle ? -1 : 1; // inverted is intentional
+  }
+  return leftScore > rightScore ? 1 : -1;
+};
+
+/**
+ * Default splitQuery function. Can be overridden in ``sphinx.search`` with a
+ * custom function per language.
+ *
+ * The regular expression works by splitting the string on consecutive characters
+ * that are not Unicode letters, numbers, underscores, or emoji characters.
+ * This is the same as ``\W+`` in Python, preserving the surrogate pair area.
+ */
+if (typeof splitQuery === "undefined") {
+  var splitQuery = (query) => query
+      .split(/[^\p{Letter}\p{Number}_\p{Emoji_Presentation}]+/gu)
+      .filter(term => term)  // remove remaining empty strings
+}
+
+/**
+ * Search Module
+ */
+const Search = {
+  _index: null,
+  _queued_query: null,
+  _pulse_status: -1,
+
+  htmlToText: (htmlString, anchor) => {
+    const htmlElement = new DOMParser().parseFromString(htmlString, 'text/html');
+    for (const removalQuery of [".headerlink", "script", "style"]) {
+      htmlElement.querySelectorAll(removalQuery).forEach((el) => { el.remove() });
+    }
+    if (anchor) {
+      const anchorContent = htmlElement.querySelector(`[role="main"] ${anchor}`);
+      if (anchorContent) return anchorContent.textContent;
+
+      console.warn(
+        `Anchored content block not found. Sphinx search tries to obtain it via DOM query '[role=main] ${anchor}'. Check your theme or template.`
+      );
+    }
+
+    // if anchor not specified or not found, fall back to main content
+    const docContent = htmlElement.querySelector('[role="main"]');
+    if (docContent) return docContent.textContent;
+
+    console.warn(
+      "Content block not found. Sphinx search tries to obtain it via DOM query '[role=main]'. Check your theme or template."
+    );
+    return "";
+  },
+
+  init: () => {
+    const query = new URLSearchParams(window.location.search).get("q");
+    document
+      .querySelectorAll('input[name="q"]')
+      .forEach((el) => (el.value = query));
+    if (query) Search.performSearch(query);
+  },
+
+  loadIndex: (url) =>
+    (document.body.appendChild(document.createElement("script")).src = url),
+
+  setIndex: (index) => {
+    Search._index = index;
+    if (Search._queued_query !== null) {
+      const query = Search._queued_query;
+      Search._queued_query = null;
+      Search.query(query);
+    }
+  },
+
+  hasIndex: () => Search._index !== null,
+
+  deferQuery: (query) => (Search._queued_query = query),
+
+  stopPulse: () => (Search._pulse_status = -1),
+
+  startPulse: () => {
+    if (Search._pulse_status >= 0) return;
+
+    const pulse = () => {
+      Search._pulse_status = (Search._pulse_status + 1) % 4;
+      Search.dots.innerText = ".".repeat(Search._pulse_status);
+      if (Search._pulse_status >= 0) window.setTimeout(pulse, 500);
+    };
+    pulse();
+  },
+
+  /**
+   * perform a search for something (or wait until index is loaded)
+   */
+  performSearch: (query) => {
+    // create the required interface elements
+    const searchText = document.createElement("h2");
+    searchText.textContent = _("Searching");
+    const searchSummary = document.createElement("p");
+    searchSummary.classList.add("search-summary");
+    searchSummary.innerText = "";
+    const searchList = document.createElement("ul");
+    searchList.setAttribute("role", "list");
+    searchList.classList.add("search");
+
+    const out = document.getElementById("search-results");
+    Search.title = out.appendChild(searchText);
+    Search.dots = Search.title.appendChild(document.createElement("span"));
+    Search.status = out.appendChild(searchSummary);
+    Search.output = out.appendChild(searchList);
+
+    const searchProgress = document.getElementById("search-progress");
+    // Some themes don't use the search progress node
+    if (searchProgress) {
+      searchProgress.innerText = _("Preparing search...");
+    }
+    Search.startPulse();
+
+    // index already loaded, the browser was quick!
+    if (Search.hasIndex()) Search.query(query);
+    else Search.deferQuery(query);
+  },
+
+  _parseQuery: (query) => {
+    // stem the search terms and add them to the correct list
+    const stemmer = new Stemmer();
+    const searchTerms = new Set();
+    const excludedTerms = new Set();
+    const highlightTerms = new Set();
+    const objectTerms = new Set(splitQuery(query.toLowerCase().trim()));
+    splitQuery(query.trim()).forEach((queryTerm) => {
+      const queryTermLower = queryTerm.toLowerCase();
+
+      // maybe skip this "word"
+      // stopwords array is from language_data.js
+      if (
+        stopwords.indexOf(queryTermLower) !== -1 ||
+        queryTerm.match(/^\d+$/)
+      )
+        return;
+
+      // stem the word
+      let word = stemmer.stemWord(queryTermLower);
+      // select the correct list
+      if (word[0] === "-") excludedTerms.add(word.substr(1));
+      else {
+        searchTerms.add(word);
+        highlightTerms.add(queryTermLower);
+      }
+    });
+
+    if (SPHINX_HIGHLIGHT_ENABLED) {  // set in sphinx_highlight.js
+      localStorage.setItem("sphinx_highlight_terms", [...highlightTerms].join(" "))
+    }
+
+    // console.debug("SEARCH: searching for:");
+    // console.info("required: ", [...searchTerms]);
+    // console.info("excluded: ", [...excludedTerms]);
+
+    return [query, searchTerms, excludedTerms, highlightTerms, objectTerms];
+  },
+
+  /**
+   * execute search (requires search index to be loaded)
+   */
+  _performSearch: (query, searchTerms, excludedTerms, highlightTerms, objectTerms) => {
+    const filenames = Search._index.filenames;
+    const docNames = Search._index.docnames;
+    const titles = Search._index.titles;
+    const allTitles = Search._index.alltitles;
+    const indexEntries = Search._index.indexentries;
+
+    // Collect multiple result groups to be sorted separately and then ordered.
+    // Each is an array of [docname, title, anchor, descr, score, filename, kind].
+    const normalResults = [];
+    const nonMainIndexResults = [];
+
+    _removeChildren(document.getElementById("search-progress"));
+
+    const queryLower = query.toLowerCase().trim();
+    for (const [title, foundTitles] of Object.entries(allTitles)) {
+      if (title.toLowerCase().trim().includes(queryLower) && (queryLower.length >= title.length/2)) {
+        for (const [file, id] of foundTitles) {
+          const score = Math.round(Scorer.title * queryLower.length / title.length);
+          const boost = titles[file] === title ? 1 : 0;  // add a boost for document titles
+          normalResults.push([
+            docNames[file],
+            titles[file] !== title ? `${titles[file]} > ${title}` : title,
+            id !== null ? "#" + id : "",
+            null,
+            score + boost,
+            filenames[file],
+            SearchResultKind.title,
+          ]);
+        }
+      }
+    }
+
+    // search for explicit entries in index directives
+    for (const [entry, foundEntries] of Object.entries(indexEntries)) {
+      if (entry.includes(queryLower) && (queryLower.length >= entry.length/2)) {
+        for (const [file, id, isMain] of foundEntries) {
+          const score = Math.round(100 * queryLower.length / entry.length);
+          const result = [
+            docNames[file],
+            titles[file],
+            id ? "#" + id : "",
+            null,
+            score,
+            filenames[file],
+            SearchResultKind.index,
+          ];
+          if (isMain) {
+            normalResults.push(result);
+          } else {
+            nonMainIndexResults.push(result);
+          }
+        }
+      }
+    }
+
+    // lookup as object
+    objectTerms.forEach((term) =>
+      normalResults.push(...Search.performObjectSearch(term, objectTerms))
+    );
+
+    // lookup as search terms in fulltext
+    normalResults.push(...Search.performTermsSearch(searchTerms, excludedTerms));
+
+    // let the scorer override scores with a custom scoring function
+    if (Scorer.score) {
+      normalResults.forEach((item) => (item[4] = Scorer.score(item)));
+      nonMainIndexResults.forEach((item) => (item[4] = Scorer.score(item)));
+    }
+
+    // Sort each group of results by score and then alphabetically by name.
+    normalResults.sort(_orderResultsByScoreThenName);
+    nonMainIndexResults.sort(_orderResultsByScoreThenName);
+
+    // Combine the result groups in (reverse) order.
+    // Non-main index entries are typically arbitrary cross-references,
+    // so display them after other results.
+    let results = [...nonMainIndexResults, ...normalResults];
+
+    // remove duplicate search results
+    // note the reversing of results, so that in the case of duplicates, the highest-scoring entry is kept
+    let seen = new Set();
+    results = results.reverse().reduce((acc, result) => {
+      let resultStr = result.slice(0, 4).concat([result[5]]).map(v => String(v)).join(',');
+      if (!seen.has(resultStr)) {
+        acc.push(result);
+        seen.add(resultStr);
+      }
+      return acc;
+    }, []);
+
+    return results.reverse();
+  },
+
+  query: (query) => {
+    const [searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms] = Search._parseQuery(query);
+    const results = Search._performSearch(searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms);
+
+    // for debugging
+    //Search.lastresults = results.slice();  // a copy
+    // console.info("search results:", Search.lastresults);
+
+    // print the results
+    _displayNextItem(results, results.length, searchTerms, highlightTerms);
+  },
+
+  /**
+   * search for object names
+   */
+  performObjectSearch: (object, objectTerms) => {
+    const filenames = Search._index.filenames;
+    const docNames = Search._index.docnames;
+    const objects = Search._index.objects;
+    const objNames = Search._index.objnames;
+    const titles = Search._index.titles;
+
+    const results = [];
+
+    const objectSearchCallback = (prefix, match) => {
+      const name = match[4]
+      const fullname = (prefix ? prefix + "." : "") + name;
+      const fullnameLower = fullname.toLowerCase();
+      if (fullnameLower.indexOf(object) < 0) return;
+
+      let score = 0;
+      const parts = fullnameLower.split(".");
+
+      // check for different match types: exact matches of full name or
+      // "last name" (i.e. last dotted part)
+      if (fullnameLower === object || parts.slice(-1)[0] === object)
+        score += Scorer.objNameMatch;
+      else if (parts.slice(-1)[0].indexOf(object) > -1)
+        score += Scorer.objPartialMatch; // matches in last name
+
+      const objName = objNames[match[1]][2];
+      const title = titles[match[0]];
+
+      // If more than one term searched for, we require other words to be
+      // found in the name/title/description
+      const otherTerms = new Set(objectTerms);
+      otherTerms.delete(object);
+      if (otherTerms.size > 0) {
+        const haystack = `${prefix} ${name} ${objName} ${title}`.toLowerCase();
+        if (
+          [...otherTerms].some((otherTerm) => haystack.indexOf(otherTerm) < 0)
+        )
+          return;
+      }
+
+      let anchor = match[3];
+      if (anchor === "") anchor = fullname;
+      else if (anchor === "-") anchor = objNames[match[1]][1] + "-" + fullname;
+
+      const descr = objName + _(", in ") + title;
+
+      // add custom score for some objects according to scorer
+      if (Scorer.objPrio.hasOwnProperty(match[2]))
+        score += Scorer.objPrio[match[2]];
+      else score += Scorer.objPrioDefault;
+
+      results.push([
+        docNames[match[0]],
+        fullname,
+        "#" + anchor,
+        descr,
+        score,
+        filenames[match[0]],
+        SearchResultKind.object,
+      ]);
+    };
+    Object.keys(objects).forEach((prefix) =>
+      objects[prefix].forEach((array) =>
+        objectSearchCallback(prefix, array)
+      )
+    );
+    return results;
+  },
+
+  /**
+   * search for full-text terms in the index
+   */
+  performTermsSearch: (searchTerms, excludedTerms) => {
+    // prepare search
+    const terms = Search._index.terms;
+    const titleTerms = Search._index.titleterms;
+    const filenames = Search._index.filenames;
+    const docNames = Search._index.docnames;
+    const titles = Search._index.titles;
+
+    const scoreMap = new Map();
+    const fileMap = new Map();
+
+    // perform the search on the required terms
+    searchTerms.forEach((word) => {
+      const files = [];
+      const arr = [
+        { files: terms[word], score: Scorer.term },
+        { files: titleTerms[word], score: Scorer.title },
+      ];
+      // add support for partial matches
+      if (word.length > 2) {
+        const escapedWord = _escapeRegExp(word);
+        if (!terms.hasOwnProperty(word)) {
+          Object.keys(terms).forEach((term) => {
+            if (term.match(escapedWord))
+              arr.push({ files: terms[term], score: Scorer.partialTerm });
+          });
+        }
+        if (!titleTerms.hasOwnProperty(word)) {
+          Object.keys(titleTerms).forEach((term) => {
+            if (term.match(escapedWord))
+              arr.push({ files: titleTerms[term], score: Scorer.partialTitle });
+          });
+        }
+      }
+
+      // no match but word was a required one
+      if (arr.every((record) => record.files === undefined)) return;
+
+      // found search word in contents
+      arr.forEach((record) => {
+        if (record.files === undefined) return;
+
+        let recordFiles = record.files;
+        if (recordFiles.length === undefined) recordFiles = [recordFiles];
+        files.push(...recordFiles);
+
+        // set score for the word in each file
+        recordFiles.forEach((file) => {
+          if (!scoreMap.has(file)) scoreMap.set(file, {});
+          scoreMap.get(file)[word] = record.score;
+        });
+      });
+
+      // create the mapping
+      files.forEach((file) => {
+        if (!fileMap.has(file)) fileMap.set(file, [word]);
+        else if (fileMap.get(file).indexOf(word) === -1) fileMap.get(file).push(word);
+      });
+    });
+
+    // now check if the files don't contain excluded terms
+    const results = [];
+    for (const [file, wordList] of fileMap) {
+      // check if all requirements are matched
+
+      // as search terms with length < 3 are discarded
+      const filteredTermCount = [...searchTerms].filter(
+        (term) => term.length > 2
+      ).length;
+      if (
+        wordList.length !== searchTerms.size &&
+        wordList.length !== filteredTermCount
+      )
+        continue;
+
+      // ensure that none of the excluded terms is in the search result
+      if (
+        [...excludedTerms].some(
+          (term) =>
+            terms[term] === file ||
+            titleTerms[term] === file ||
+            (terms[term] || []).includes(file) ||
+            (titleTerms[term] || []).includes(file)
+        )
+      )
+        break;
+
+      // select one (max) score for the file.
+      const score = Math.max(...wordList.map((w) => scoreMap.get(file)[w]));
+      // add result to the result list
+      results.push([
+        docNames[file],
+        titles[file],
+        "",
+        null,
+        score,
+        filenames[file],
+        SearchResultKind.text,
+      ]);
+    }
+    return results;
+  },
+
+  /**
+   * helper function to return a node containing the
+   * search summary for a given text. keywords is a list
+   * of stemmed words.
+   */
+  makeSearchSummary: (htmlText, keywords, anchor) => {
+    const text = Search.htmlToText(htmlText, anchor);
+    if (text === "") return null;
+
+    const textLower = text.toLowerCase();
+    const actualStartPosition = [...keywords]
+      .map((k) => textLower.indexOf(k.toLowerCase()))
+      .filter((i) => i > -1)
+      .slice(-1)[0];
+    const startWithContext = Math.max(actualStartPosition - 120, 0);
+
+    const top = startWithContext === 0 ? "" : "...";
+    const tail = startWithContext + 240 < text.length ? "..." : "";
+
+    let summary = document.createElement("p");
+    summary.classList.add("context");
+    summary.textContent = top + text.substr(startWithContext, 240).trim() + tail;
+
+    return summary;
+  },
+};
+
+_ready(Search.init);
diff --git a/_static/sphinx_highlight.js b/_static/sphinx_highlight.js
new file mode 100644
index 000000000..8a96c69a1
--- /dev/null
+++ b/_static/sphinx_highlight.js
@@ -0,0 +1,154 @@
+/* Highlighting utilities for Sphinx HTML documentation. */
+"use strict";
+
+const SPHINX_HIGHLIGHT_ENABLED = true
+
+/**
+ * highlight a given string on a node by wrapping it in
+ * span elements with the given class name.
+ */
+const _highlight = (node, addItems, text, className) => {
+  if (node.nodeType === Node.TEXT_NODE) {
+    const val = node.nodeValue;
+    const parent = node.parentNode;
+    const pos = val.toLowerCase().indexOf(text);
+    if (
+      pos >= 0 &&
+      !parent.classList.contains(className) &&
+      !parent.classList.contains("nohighlight")
+    ) {
+      let span;
+
+      const closestNode = parent.closest("body, svg, foreignObject");
+      const isInSVG = closestNode && closestNode.matches("svg");
+      if (isInSVG) {
+        span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
+      } else {
+        span = document.createElement("span");
+        span.classList.add(className);
+      }
+
+      span.appendChild(document.createTextNode(val.substr(pos, text.length)));
+      const rest = document.createTextNode(val.substr(pos + text.length));
+      parent.insertBefore(
+        span,
+        parent.insertBefore(
+          rest,
+          node.nextSibling
+        )
+      );
+      node.nodeValue = val.substr(0, pos);
+      /* There may be more occurrences of search term in this node. So call this
+       * function recursively on the remaining fragment.
+       */
+      _highlight(rest, addItems, text, className);
+
+      if (isInSVG) {
+        const rect = document.createElementNS(
+          "http://www.w3.org/2000/svg",
+          "rect"
+        );
+        const bbox = parent.getBBox();
+        rect.x.baseVal.value = bbox.x;
+        rect.y.baseVal.value = bbox.y;
+        rect.width.baseVal.value = bbox.width;
+        rect.height.baseVal.value = bbox.height;
+        rect.setAttribute("class", className);
+        addItems.push({ parent: parent, target: rect });
+      }
+    }
+  } else if (node.matches && !node.matches("button, select, textarea")) {
+    node.childNodes.forEach((el) => _highlight(el, addItems, text, className));
+  }
+};
+const _highlightText = (thisNode, text, className) => {
+  let addItems = [];
+  _highlight(thisNode, addItems, text, className);
+  addItems.forEach((obj) =>
+    obj.parent.insertAdjacentElement("beforebegin", obj.target)
+  );
+};
+
+/**
+ * Small JavaScript module for the documentation.
+ */
+const SphinxHighlight = {
+
+  /**
+   * highlight the search words provided in localstorage in the text
+   */
+  highlightSearchWords: () => {
+    if (!SPHINX_HIGHLIGHT_ENABLED) return;  // bail if no highlight
+
+    // get and clear terms from localstorage
+    const url = new URL(window.location);
+    const highlight =
+        localStorage.getItem("sphinx_highlight_terms")
+        || url.searchParams.get("highlight")
+        || "";
+    localStorage.removeItem("sphinx_highlight_terms")
+    url.searchParams.delete("highlight");
+    window.history.replaceState({}, "", url);
+
+    // get individual terms from highlight string
+    const terms = highlight.toLowerCase().split(/\s+/).filter(x => x);
+    if (terms.length === 0) return; // nothing to do
+
+    // There should never be more than one element matching "div.body"
+    const divBody = document.querySelectorAll("div.body");
+    const body = divBody.length ? divBody[0] : document.querySelector("body");
+    window.setTimeout(() => {
+      terms.forEach((term) => _highlightText(body, term, "highlighted"));
+    }, 10);
+
+    const searchBox = document.getElementById("searchbox");
+    if (searchBox === null) return;
+    searchBox.appendChild(
+      document
+        .createRange()
+        .createContextualFragment(
+          '<p class="highlight-link">' +
+            '<a href="javascript:SphinxHighlight.hideSearchWords()">' +
+            _("Hide Search Matches") +
+            "</a></p>"
+        )
+    );
+  },
+
+  /**
+   * helper function to hide the search marks again
+   */
+  hideSearchWords: () => {
+    document
+      .querySelectorAll("#searchbox .highlight-link")
+      .forEach((el) => el.remove());
+    document
+      .querySelectorAll("span.highlighted")
+      .forEach((el) => el.classList.remove("highlighted"));
+    localStorage.removeItem("sphinx_highlight_terms")
+  },
+
+  initEscapeListener: () => {
+    // only install a listener if it is really needed
+    if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) return;
+
+    document.addEventListener("keydown", (event) => {
+      // bail for input elements
+      if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return;
+      // bail with special keys
+      if (event.shiftKey || event.altKey || event.ctrlKey || event.metaKey) return;
+      if (DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS && (event.key === "Escape")) {
+        SphinxHighlight.hideSearchWords();
+        event.preventDefault();
+      }
+    });
+  },
+};
+
+_ready(() => {
+  /* Do not call highlightSearchWords() when we are on the search page.
+   * It will highlight words from the *previous* search query.
+   */
+  if (typeof Search === "undefined") SphinxHighlight.highlightSearchWords();
+  SphinxHighlight.initEscapeListener();
+});
diff --git a/_static/styles/pydata-sphinx-theme.css b/_static/styles/pydata-sphinx-theme.css
new file mode 100644
index 000000000..38adb4505
--- /dev/null
+++ b/_static/styles/pydata-sphinx-theme.css
@@ -0,0 +1,32 @@
+@charset "UTF-8";
+/*!
+ * Bootstrap  v5.3.3 (https://getbootstrap.com/)
+ * Copyright 2011-2024 The Bootstrap Authors
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
+ */:root,[data-bs-theme=light]{--bs-blue:#0d6efd;--bs-indigo:#6610f2;--bs-purple:#6f42c1;--bs-pink:#d63384;--bs-red:#dc3545;--bs-orange:#fd7e14;--bs-yellow:#ffc107;--bs-green:#198754;--bs-teal:#20c997;--bs-cyan:#0dcaf0;--bs-black:#000;--bs-white:#fff;--bs-gray:#6c757d;--bs-gray-dark:#343a40;--bs-gray-100:#f8f9fa;--bs-gray-200:#e9ecef;--bs-gray-300:#dee2e6;--bs-gray-400:#ced4da;--bs-gray-500:#adb5bd;--bs-gray-600:#6c757d;--bs-gray-700:#495057;--bs-gray-800:#343a40;--bs-gray-900:#212529;--bs-primary:#0d6efd;--bs-secondary:#6c757d;--bs-success:#198754;--bs-info:#0dcaf0;--bs-warning:#ffc107;--bs-danger:#dc3545;--bs-light:#f8f9fa;--bs-dark:#212529;--bs-primary-rgb:13,110,253;--bs-secondary-rgb:108,117,125;--bs-success-rgb:25,135,84;--bs-info-rgb:13,202,240;--bs-warning-rgb:255,193,7;--bs-danger-rgb:220,53,69;--bs-light-rgb:248,249,250;--bs-dark-rgb:33,37,41;--bs-primary-text-emphasis:#052c65;--bs-secondary-text-emphasis:#2b2f32;--bs-success-text-emphasis:#0a3622;--bs-info-text-emphasis:#055160;--bs-warning-text-emphasis:#664d03;--bs-danger-text-emphasis:#58151c;--bs-light-text-emphasis:#495057;--bs-dark-text-emphasis:#495057;--bs-primary-bg-subtle:#cfe2ff;--bs-secondary-bg-subtle:#e2e3e5;--bs-success-bg-subtle:#d1e7dd;--bs-info-bg-subtle:#cff4fc;--bs-warning-bg-subtle:#fff3cd;--bs-danger-bg-subtle:#f8d7da;--bs-light-bg-subtle:#fcfcfd;--bs-dark-bg-subtle:#ced4da;--bs-primary-border-subtle:#9ec5fe;--bs-secondary-border-subtle:#c4c8cb;--bs-success-border-subtle:#a3cfbb;--bs-info-border-subtle:#9eeaf9;--bs-warning-border-subtle:#ffe69c;--bs-danger-border-subtle:#f1aeb5;--bs-light-border-subtle:#e9ecef;--bs-dark-border-subtle:#adb5bd;--bs-white-rgb:255,255,255;--bs-black-rgb:0,0,0;--bs-font-sans-serif:system-ui,-apple-system,"Segoe UI",Roboto,"Helvetica Neue","Noto Sans","Liberation Sans",Arial,sans-serif,"Apple Color Emoji","Segoe UI Emoji","Segoe UI Symbol","Noto Color Emoji";--bs-font-monospace:SFMono-Regular,Menlo,Monaco,Consolas,"Liberation Mono","Courier New",monospace;--bs-gradient:linear-gradient(180deg,hsla(0,0%,100%,.15),hsla(0,0%,100%,0));--bs-body-font-family:var(--bs-font-sans-serif);--bs-body-font-size:1rem;--bs-body-font-weight:400;--bs-body-line-height:1.5;--bs-body-color:#212529;--bs-body-color-rgb:33,37,41;--bs-body-bg:#fff;--bs-body-bg-rgb:255,255,255;--bs-emphasis-color:#000;--bs-emphasis-color-rgb:0,0,0;--bs-secondary-color:rgba(33,37,41,.75);--bs-secondary-color-rgb:33,37,41;--bs-secondary-bg:#e9ecef;--bs-secondary-bg-rgb:233,236,239;--bs-tertiary-color:rgba(33,37,41,.5);--bs-tertiary-color-rgb:33,37,41;--bs-tertiary-bg:#f8f9fa;--bs-tertiary-bg-rgb:248,249,250;--bs-heading-color:inherit;--bs-link-color:#0d6efd;--bs-link-color-rgb:13,110,253;--bs-link-decoration:underline;--bs-link-hover-color:#0a58ca;--bs-link-hover-color-rgb:10,88,202;--bs-code-color:#d63384;--bs-highlight-color:#212529;--bs-highlight-bg:#fff3cd;--bs-border-width:1px;--bs-border-style:solid;--bs-border-color:#dee2e6;--bs-border-color-translucent:rgba(0,0,0,.175);--bs-border-radius:0.375rem;--bs-border-radius-sm:0.25rem;--bs-border-radius-lg:0.5rem;--bs-border-radius-xl:1rem;--bs-border-radius-xxl:2rem;--bs-border-radius-2xl:var(--bs-border-radius-xxl);--bs-border-radius-pill:50rem;--bs-box-shadow:0 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.page-link{border-bottom-right-radius:var(--bs-pagination-border-radius);border-top-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x:1.5rem;--bs-pagination-padding-y:0.75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius:var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x:0.5rem;--bs-pagination-padding-y:0.25rem;--bs-pagination-font-size:0.875rem;--bs-pagination-border-radius:var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x:0.65em;--bs-badge-padding-y:0.35em;--bs-badge-font-size:0.75em;--bs-badge-font-weight:700;--bs-badge-color:#fff;--bs-badge-border-radius:var(--bs-border-radius);border-radius:var(--bs-badge-border-radius);color:var(--bs-badge-color);display:inline-block;font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);text-align:center;vertical-align:baseline;white-space:nowrap}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg:transparent;--bs-alert-padding-x:1rem;--bs-alert-padding-y:1rem;--bs-alert-margin-bottom:1rem;--bs-alert-color:inherit;--bs-alert-border-color:transparent;--bs-alert-border:var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius:var(--bs-border-radius);--bs-alert-link-color:inherit;background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius);color:var(--bs-alert-color);margin-bottom:var(--bs-alert-margin-bottom);padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);position:relative}.alert-heading{color:inherit}.alert-link{color:var(--bs-alert-link-color);font-weight:700}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{padding:1.25rem 1rem;position:absolute;right:0;top:0;z-index:2}.alert-primary{--bs-alert-color:var(--bs-primary-text-emphasis);--bs-alert-bg:var(--bs-primary-bg-subtle);--bs-alert-border-color:var(--bs-primary-border-subtle);--bs-alert-link-color:var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color:var(--bs-secondary-text-emphasis);--bs-alert-bg:var(--bs-secondary-bg-subtle);--bs-alert-border-color:var(--bs-secondary-border-subtle);--bs-alert-link-color:var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color:var(--bs-success-text-emphasis);--bs-alert-bg:var(--bs-success-bg-subtle);--bs-alert-border-color:var(--bs-success-border-subtle);--bs-alert-link-color:var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color:var(--bs-info-text-emphasis);--bs-alert-bg:var(--bs-info-bg-subtle);--bs-alert-border-color:var(--bs-info-border-subtle);--bs-alert-link-color:var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color:var(--bs-warning-text-emphasis);--bs-alert-bg:var(--bs-warning-bg-subtle);--bs-alert-border-color:var(--bs-warning-border-subtle);--bs-alert-link-color:var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color:var(--bs-danger-text-emphasis);--bs-alert-bg:var(--bs-danger-bg-subtle);--bs-alert-border-color:var(--bs-danger-border-subtle);--bs-alert-link-color:var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color:var(--bs-light-text-emphasis);--bs-alert-bg:var(--bs-light-bg-subtle);--bs-alert-border-color:var(--bs-light-border-subtle);--bs-alert-link-color:var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color:var(--bs-dark-text-emphasis);--bs-alert-bg:var(--bs-dark-bg-subtle);--bs-alert-border-color:var(--bs-dark-border-subtle);--bs-alert-link-color:var(--bs-dark-text-emphasis)}@keyframes 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50%,hsla(0,0%,100%,.15) 0,hsla(0,0%,100%,.15) 75%,transparent 0,transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:progress-bar-stripes 1s linear infinite}@media (prefers-reduced-motion:reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color:var(--bs-body-color);--bs-list-group-bg:var(--bs-body-bg);--bs-list-group-border-color:var(--bs-border-color);--bs-list-group-border-width:var(--bs-border-width);--bs-list-group-border-radius:var(--bs-border-radius);--bs-list-group-item-padding-x:1rem;--bs-list-group-item-padding-y:0.5rem;--bs-list-group-action-color:var(--bs-secondary-color);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-tertiary-bg);--bs-list-group-action-active-color:var(--bs-body-color);--bs-list-group-action-active-bg:var(--bs-secondary-bg);--bs-list-group-disabled-color:var(--bs-secondary-color);--bs-list-group-disabled-bg:var(--bs-body-bg);--bs-list-group-active-color:#fff;--bs-list-group-active-bg:#0d6efd;--bs-list-group-active-border-color:#0d6efd;border-radius:var(--bs-list-group-border-radius);display:flex;flex-direction:column;margin-bottom:0;padding-left:0}.list-group-numbered{counter-reset:section;list-style-type:none}.list-group-numbered>.list-group-item:before{content:counters(section,".") ". ";counter-increment:section}.list-group-item-action{color:var(--bs-list-group-action-color);text-align:inherit;width:100%}.list-group-item-action:focus,.list-group-item-action:hover{background-color:var(--bs-list-group-action-hover-bg);color:var(--bs-list-group-action-hover-color);text-decoration:none;z-index:1}.list-group-item-action:active{background-color:var(--bs-list-group-action-active-bg);color:var(--bs-list-group-action-active-color)}.list-group-item{background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color);color:var(--bs-list-group-color);display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);position:relative;text-decoration:none}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-left-radius:inherit;border-bottom-right-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{background-color:var(--bs-list-group-disabled-bg);color:var(--bs-list-group-disabled-color);pointer-events:none}.list-group-item.active{background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color);color:var(--bs-list-group-active-color);z-index:2}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{border-top-width:var(--bs-list-group-border-width);margin-top:calc(var(--bs-list-group-border-width)*-1)}.list-group-horizontal{flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}@media (min-width:576px){.list-group-horizontal-sm{flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}}@media (min-width:768px){.list-group-horizontal-md{flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal-md>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}}@media (min-width:992px){.list-group-horizontal-lg{flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}}@media (min-width:1200px){.list-group-horizontal-xl{flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}}@media (min-width:1400px){.list-group-horizontal-xxl{flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-primary{--bs-list-group-color:var(--bs-primary-text-emphasis);--bs-list-group-bg:var(--bs-primary-bg-subtle);--bs-list-group-border-color:var(--bs-primary-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-primary-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-primary-border-subtle);--bs-list-group-active-color:var(--bs-primary-bg-subtle);--bs-list-group-active-bg:var(--bs-primary-text-emphasis);--bs-list-group-active-border-color:var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color:var(--bs-secondary-text-emphasis);--bs-list-group-bg:var(--bs-secondary-bg-subtle);--bs-list-group-border-color:var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-secondary-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-secondary-border-subtle);--bs-list-group-active-color:var(--bs-secondary-bg-subtle);--bs-list-group-active-bg:var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color:var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color:var(--bs-success-text-emphasis);--bs-list-group-bg:var(--bs-success-bg-subtle);--bs-list-group-border-color:var(--bs-success-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-success-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-success-border-subtle);--bs-list-group-active-color:var(--bs-success-bg-subtle);--bs-list-group-active-bg:var(--bs-success-text-emphasis);--bs-list-group-active-border-color:var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color:var(--bs-info-text-emphasis);--bs-list-group-bg:var(--bs-info-bg-subtle);--bs-list-group-border-color:var(--bs-info-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-info-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-info-border-subtle);--bs-list-group-active-color:var(--bs-info-bg-subtle);--bs-list-group-active-bg:var(--bs-info-text-emphasis);--bs-list-group-active-border-color:var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color:var(--bs-warning-text-emphasis);--bs-list-group-bg:var(--bs-warning-bg-subtle);--bs-list-group-border-color:var(--bs-warning-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-warning-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-warning-border-subtle);--bs-list-group-active-color:var(--bs-warning-bg-subtle);--bs-list-group-active-bg:var(--bs-warning-text-emphasis);--bs-list-group-active-border-color:var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color:var(--bs-danger-text-emphasis);--bs-list-group-bg:var(--bs-danger-bg-subtle);--bs-list-group-border-color:var(--bs-danger-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-danger-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-danger-border-subtle);--bs-list-group-active-color:var(--bs-danger-bg-subtle);--bs-list-group-active-bg:var(--bs-danger-text-emphasis);--bs-list-group-active-border-color:var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color:var(--bs-light-text-emphasis);--bs-list-group-bg:var(--bs-light-bg-subtle);--bs-list-group-border-color:var(--bs-light-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-light-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-light-border-subtle);--bs-list-group-active-color:var(--bs-light-bg-subtle);--bs-list-group-active-bg:var(--bs-light-text-emphasis);--bs-list-group-active-border-color:var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color:var(--bs-dark-text-emphasis);--bs-list-group-bg:var(--bs-dark-bg-subtle);--bs-list-group-border-color:var(--bs-dark-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-dark-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-dark-border-subtle);--bs-list-group-active-color:var(--bs-dark-bg-subtle);--bs-list-group-active-bg:var(--bs-dark-text-emphasis);--bs-list-group-active-border-color:var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color:#000;--bs-btn-close-bg:url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3E%3Cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3E%3C/svg%3E");--bs-btn-close-opacity:0.5;--bs-btn-close-hover-opacity:0.75;--bs-btn-close-focus-shadow:0 0 0 0.25rem rgba(13,110,253,.25);--bs-btn-close-focus-opacity:1;--bs-btn-close-disabled-opacity:0.25;--bs-btn-close-white-filter:invert(1) grayscale(100%) brightness(200%);background:transparent var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:.375rem;box-sizing:content-box;height:1em;opacity:var(--bs-btn-close-opacity);padding:.25em;width:1em}.btn-close,.btn-close:hover{color:var(--bs-btn-close-color)}.btn-close:hover{opacity:var(--bs-btn-close-hover-opacity);text-decoration:none}.btn-close:focus{box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity);outline:0}.btn-close.disabled,.btn-close:disabled{opacity:var(--bs-btn-close-disabled-opacity);pointer-events:none;user-select:none}.btn-close-white,[data-bs-theme=dark] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex:1090;--bs-toast-padding-x:0.75rem;--bs-toast-padding-y:0.5rem;--bs-toast-spacing:1.5rem;--bs-toast-max-width:350px;--bs-toast-font-size:0.875rem;--bs-toast-color: 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`abbr`\n.initialism {\n  @include font-size($initialism-font-size);\n  text-transform: uppercase;\n}\n\n// Blockquotes\n.blockquote {\n  margin-bottom: $blockquote-margin-y;\n  @include font-size($blockquote-font-size);\n\n  > :last-child {\n    margin-bottom: 0;\n  }\n}\n\n.blockquote-footer {\n  margin-top: -$blockquote-margin-y;\n  margin-bottom: $blockquote-margin-y;\n  @include font-size($blockquote-footer-font-size);\n  color: $blockquote-footer-color;\n\n  &::before {\n    content: \"\\2014\\00A0\"; // em dash, nbsp\n  }\n}\n","@charset \"UTF-8\";\n/*!\n * Bootstrap  v5.3.3 (https://getbootstrap.com/)\n * Copyright 2011-2024 The Bootstrap Authors\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n */\n:root,\n[data-bs-theme=light] {\n  --bs-blue: #0d6efd;\n  --bs-indigo: #6610f2;\n  --bs-purple: #6f42c1;\n  --bs-pink: #d63384;\n  --bs-red: #dc3545;\n  --bs-orange: #fd7e14;\n  --bs-yellow: #ffc107;\n  --bs-green: #198754;\n  --bs-teal: #20c997;\n  --bs-cyan: #0dcaf0;\n  --bs-black: #000;\n  --bs-white: #fff;\n  --bs-gray: #6c757d;\n  --bs-gray-dark: #343a40;\n  --bs-gray-100: #f8f9fa;\n  --bs-gray-200: #e9ecef;\n  --bs-gray-300: #dee2e6;\n  --bs-gray-400: #ced4da;\n  --bs-gray-500: #adb5bd;\n  --bs-gray-600: #6c757d;\n  --bs-gray-700: #495057;\n  --bs-gray-800: #343a40;\n  --bs-gray-900: #212529;\n  --bs-primary: #0d6efd;\n  --bs-secondary: #6c757d;\n  --bs-success: #198754;\n  --bs-info: #0dcaf0;\n  --bs-warning: #ffc107;\n  --bs-danger: #dc3545;\n  --bs-light: #f8f9fa;\n  --bs-dark: #212529;\n  --bs-primary-rgb: 13, 110, 253;\n  --bs-secondary-rgb: 108, 117, 125;\n  --bs-success-rgb: 25, 135, 84;\n  --bs-info-rgb: 13, 202, 240;\n  --bs-warning-rgb: 255, 193, 7;\n  --bs-danger-rgb: 220, 53, 69;\n  --bs-light-rgb: 248, 249, 250;\n  --bs-dark-rgb: 33, 37, 41;\n  --bs-primary-text-emphasis: #052c65;\n  --bs-secondary-text-emphasis: #2b2f32;\n  --bs-success-text-emphasis: #0a3622;\n  --bs-info-text-emphasis: #055160;\n  --bs-warning-text-emphasis: #664d03;\n  --bs-danger-text-emphasis: #58151c;\n  --bs-light-text-emphasis: #495057;\n  --bs-dark-text-emphasis: #495057;\n  --bs-primary-bg-subtle: #cfe2ff;\n  --bs-secondary-bg-subtle: #e2e3e5;\n  --bs-success-bg-subtle: #d1e7dd;\n  --bs-info-bg-subtle: #cff4fc;\n  --bs-warning-bg-subtle: #fff3cd;\n  --bs-danger-bg-subtle: #f8d7da;\n  --bs-light-bg-subtle: #fcfcfd;\n  --bs-dark-bg-subtle: #ced4da;\n  --bs-primary-border-subtle: #9ec5fe;\n  --bs-secondary-border-subtle: #c4c8cb;\n  --bs-success-border-subtle: #a3cfbb;\n  --bs-info-border-subtle: #9eeaf9;\n  --bs-warning-border-subtle: #ffe69c;\n  --bs-danger-border-subtle: #f1aeb5;\n  --bs-light-border-subtle: #e9ecef;\n  --bs-dark-border-subtle: #adb5bd;\n  --bs-white-rgb: 255, 255, 255;\n  --bs-black-rgb: 0, 0, 0;\n  --bs-font-sans-serif: system-ui, -apple-system, \"Segoe UI\", Roboto, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\";\n  --bs-font-monospace: SFMono-Regular, Menlo, Monaco, Consolas, \"Liberation Mono\", \"Courier New\", monospace;\n  --bs-gradient: linear-gradient(180deg, rgba(255, 255, 255, 0.15), rgba(255, 255, 255, 0));\n  --bs-body-font-family: var(--bs-font-sans-serif);\n  --bs-body-font-size: 1rem;\n  --bs-body-font-weight: 400;\n  --bs-body-line-height: 1.5;\n  --bs-body-color: #212529;\n  --bs-body-color-rgb: 33, 37, 41;\n  --bs-body-bg: #fff;\n  --bs-body-bg-rgb: 255, 255, 255;\n  --bs-emphasis-color: #000;\n  --bs-emphasis-color-rgb: 0, 0, 0;\n  --bs-secondary-color: rgba(33, 37, 41, 0.75);\n  --bs-secondary-color-rgb: 33, 37, 41;\n  --bs-secondary-bg: #e9ecef;\n  --bs-secondary-bg-rgb: 233, 236, 239;\n  --bs-tertiary-color: rgba(33, 37, 41, 0.5);\n  --bs-tertiary-color-rgb: 33, 37, 41;\n  --bs-tertiary-bg: #f8f9fa;\n  --bs-tertiary-bg-rgb: 248, 249, 250;\n  --bs-heading-color: inherit;\n  --bs-link-color: #0d6efd;\n  --bs-link-color-rgb: 13, 110, 253;\n  --bs-link-decoration: underline;\n  --bs-link-hover-color: #0a58ca;\n  --bs-link-hover-color-rgb: 10, 88, 202;\n  --bs-code-color: #d63384;\n  --bs-highlight-color: #212529;\n  --bs-highlight-bg: #fff3cd;\n  --bs-border-width: 1px;\n  --bs-border-style: solid;\n  --bs-border-color: #dee2e6;\n  --bs-border-color-translucent: rgba(0, 0, 0, 0.175);\n  --bs-border-radius: 0.375rem;\n  --bs-border-radius-sm: 0.25rem;\n  --bs-border-radius-lg: 0.5rem;\n  --bs-border-radius-xl: 1rem;\n  --bs-border-radius-xxl: 2rem;\n  --bs-border-radius-2xl: var(--bs-border-radius-xxl);\n  --bs-border-radius-pill: 50rem;\n  --bs-box-shadow: 0 0.5rem 1rem rgba(0, 0, 0, 0.15);\n  --bs-box-shadow-sm: 0 0.125rem 0.25rem rgba(0, 0, 0, 0.075);\n  --bs-box-shadow-lg: 0 1rem 3rem rgba(0, 0, 0, 0.175);\n  --bs-box-shadow-inset: inset 0 1px 2px rgba(0, 0, 0, 0.075);\n  --bs-focus-ring-width: 0.25rem;\n  --bs-focus-ring-opacity: 0.25;\n  --bs-focus-ring-color: rgba(13, 110, 253, 0.25);\n  --bs-form-valid-color: #198754;\n  --bs-form-valid-border-color: #198754;\n  --bs-form-invalid-color: #dc3545;\n  --bs-form-invalid-border-color: #dc3545;\n}\n\n[data-bs-theme=dark] {\n  color-scheme: dark;\n  --bs-body-color: #dee2e6;\n  --bs-body-color-rgb: 222, 226, 230;\n  --bs-body-bg: #212529;\n  --bs-body-bg-rgb: 33, 37, 41;\n  --bs-emphasis-color: #fff;\n  --bs-emphasis-color-rgb: 255, 255, 255;\n  --bs-secondary-color: rgba(222, 226, 230, 0.75);\n  --bs-secondary-color-rgb: 222, 226, 230;\n  --bs-secondary-bg: #343a40;\n  --bs-secondary-bg-rgb: 52, 58, 64;\n  --bs-tertiary-color: rgba(222, 226, 230, 0.5);\n  --bs-tertiary-color-rgb: 222, 226, 230;\n  --bs-tertiary-bg: #2b3035;\n  --bs-tertiary-bg-rgb: 43, 48, 53;\n  --bs-primary-text-emphasis: #6ea8fe;\n  --bs-secondary-text-emphasis: #a7acb1;\n  --bs-success-text-emphasis: #75b798;\n  --bs-info-text-emphasis: #6edff6;\n  --bs-warning-text-emphasis: #ffda6a;\n  --bs-danger-text-emphasis: #ea868f;\n  --bs-light-text-emphasis: #f8f9fa;\n  --bs-dark-text-emphasis: #dee2e6;\n  --bs-primary-bg-subtle: #031633;\n  --bs-secondary-bg-subtle: #161719;\n  --bs-success-bg-subtle: #051b11;\n  --bs-info-bg-subtle: #032830;\n  --bs-warning-bg-subtle: #332701;\n  --bs-danger-bg-subtle: #2c0b0e;\n  --bs-light-bg-subtle: #343a40;\n  --bs-dark-bg-subtle: #1a1d20;\n  --bs-primary-border-subtle: #084298;\n  --bs-secondary-border-subtle: #41464b;\n  --bs-success-border-subtle: #0f5132;\n  --bs-info-border-subtle: #087990;\n  --bs-warning-border-subtle: #997404;\n  --bs-danger-border-subtle: #842029;\n  --bs-light-border-subtle: #495057;\n  --bs-dark-border-subtle: #343a40;\n  --bs-heading-color: inherit;\n  --bs-link-color: #6ea8fe;\n  --bs-link-hover-color: #8bb9fe;\n  --bs-link-color-rgb: 110, 168, 254;\n  --bs-link-hover-color-rgb: 139, 185, 254;\n  --bs-code-color: #e685b5;\n  --bs-highlight-color: #dee2e6;\n  --bs-highlight-bg: #664d03;\n  --bs-border-color: #495057;\n  --bs-border-color-translucent: rgba(255, 255, 255, 0.15);\n  --bs-form-valid-color: #75b798;\n  --bs-form-valid-border-color: #75b798;\n  --bs-form-invalid-color: #ea868f;\n  --bs-form-invalid-border-color: #ea868f;\n}\n\n*,\n*::before,\n*::after {\n  box-sizing: border-box;\n}\n\n@media (prefers-reduced-motion: no-preference) {\n  :root {\n    scroll-behavior: smooth;\n  }\n}\n\nbody {\n  margin: 0;\n  font-family: var(--bs-body-font-family);\n  font-size: var(--bs-body-font-size);\n  font-weight: var(--bs-body-font-weight);\n  line-height: var(--bs-body-line-height);\n  color: var(--bs-body-color);\n  text-align: var(--bs-body-text-align);\n  background-color: var(--bs-body-bg);\n  -webkit-text-size-adjust: 100%;\n  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);\n}\n\nhr {\n  margin: 1rem 0;\n  color: inherit;\n  border: 0;\n  border-top: var(--bs-border-width) solid;\n  opacity: 0.25;\n}\n\nh6, .h6, h5, .h5, h4, .h4, h3, .h3, h2, .h2, h1, .h1 {\n  margin-top: 0;\n  margin-bottom: 0.5rem;\n  font-weight: 500;\n  line-height: 1.2;\n  color: var(--bs-heading-color);\n}\n\nh1, .h1 {\n  font-size: calc(1.375rem + 1.5vw);\n}\n@media (min-width: 1200px) {\n  h1, .h1 {\n    font-size: 2.5rem;\n  }\n}\n\nh2, .h2 {\n  font-size: calc(1.325rem + 0.9vw);\n}\n@media (min-width: 1200px) {\n  h2, .h2 {\n    font-size: 2rem;\n  }\n}\n\nh3, .h3 {\n  font-size: calc(1.3rem + 0.6vw);\n}\n@media (min-width: 1200px) {\n  h3, .h3 {\n    font-size: 1.75rem;\n  }\n}\n\nh4, .h4 {\n  font-size: calc(1.275rem + 0.3vw);\n}\n@media (min-width: 1200px) {\n  h4, .h4 {\n    font-size: 1.5rem;\n  }\n}\n\nh5, .h5 {\n  font-size: 1.25rem;\n}\n\nh6, .h6 {\n  font-size: 1rem;\n}\n\np {\n  margin-top: 0;\n  margin-bottom: 1rem;\n}\n\nabbr[title] {\n  text-decoration: underline dotted;\n  cursor: help;\n  text-decoration-skip-ink: none;\n}\n\naddress {\n  margin-bottom: 1rem;\n  font-style: normal;\n  line-height: inherit;\n}\n\nol,\nul {\n  padding-left: 2rem;\n}\n\nol,\nul,\ndl {\n  margin-top: 0;\n  margin-bottom: 1rem;\n}\n\nol ol,\nul ul,\nol ul,\nul ol {\n  margin-bottom: 0;\n}\n\ndt {\n  font-weight: 700;\n}\n\ndd {\n  margin-bottom: 0.5rem;\n  margin-left: 0;\n}\n\nblockquote {\n  margin: 0 0 1rem;\n}\n\nb,\nstrong {\n  font-weight: bolder;\n}\n\nsmall, .small {\n  font-size: 0.875em;\n}\n\nmark, .mark {\n  padding: 0.1875em;\n  color: var(--bs-highlight-color);\n  background-color: var(--bs-highlight-bg);\n}\n\nsub,\nsup {\n  position: relative;\n  font-size: 0.75em;\n  line-height: 0;\n  vertical-align: baseline;\n}\n\nsub {\n  bottom: -0.25em;\n}\n\nsup {\n  top: -0.5em;\n}\n\na {\n  color: rgba(var(--bs-link-color-rgb), var(--bs-link-opacity, 1));\n  text-decoration: underline;\n}\na:hover {\n  --bs-link-color-rgb: var(--bs-link-hover-color-rgb);\n}\n\na:not([href]):not([class]), a:not([href]):not([class]):hover {\n  color: inherit;\n  text-decoration: none;\n}\n\npre,\ncode,\nkbd,\nsamp {\n  font-family: var(--bs-font-monospace);\n  font-size: 1em;\n}\n\npre {\n  display: block;\n  margin-top: 0;\n  margin-bottom: 1rem;\n  overflow: auto;\n  font-size: 0.875em;\n}\npre code {\n  font-size: inherit;\n  color: inherit;\n  word-break: normal;\n}\n\ncode {\n  font-size: 0.875em;\n  color: var(--bs-code-color);\n  word-wrap: break-word;\n}\na > code {\n  color: inherit;\n}\n\nkbd {\n  padding: 0.1875rem 0.375rem;\n  font-size: 0.875em;\n  color: var(--bs-body-bg);\n  background-color: var(--bs-body-color);\n  border-radius: 0.25rem;\n}\nkbd kbd {\n  padding: 0;\n  font-size: 1em;\n}\n\nfigure {\n  margin: 0 0 1rem;\n}\n\nimg,\nsvg {\n  vertical-align: middle;\n}\n\ntable {\n  caption-side: bottom;\n  border-collapse: collapse;\n}\n\ncaption {\n  padding-top: 0.5rem;\n  padding-bottom: 0.5rem;\n  color: var(--bs-secondary-color);\n  text-align: left;\n}\n\nth {\n  text-align: inherit;\n  text-align: -webkit-match-parent;\n}\n\nthead,\ntbody,\ntfoot,\ntr,\ntd,\nth {\n  border-color: inherit;\n  border-style: solid;\n  border-width: 0;\n}\n\nlabel {\n  display: inline-block;\n}\n\nbutton {\n  border-radius: 0;\n}\n\nbutton:focus:not(:focus-visible) {\n  outline: 0;\n}\n\ninput,\nbutton,\nselect,\noptgroup,\ntextarea {\n  margin: 0;\n  font-family: inherit;\n  font-size: inherit;\n  line-height: inherit;\n}\n\nbutton,\nselect {\n  text-transform: none;\n}\n\n[role=button] {\n  cursor: pointer;\n}\n\nselect {\n  word-wrap: normal;\n}\nselect:disabled {\n  opacity: 1;\n}\n\n[list]:not([type=date]):not([type=datetime-local]):not([type=month]):not([type=week]):not([type=time])::-webkit-calendar-picker-indicator {\n  display: none !important;\n}\n\nbutton,\n[type=button],\n[type=reset],\n[type=submit] {\n  -webkit-appearance: button;\n}\nbutton:not(:disabled),\n[type=button]:not(:disabled),\n[type=reset]:not(:disabled),\n[type=submit]:not(:disabled) {\n  cursor: pointer;\n}\n\n::-moz-focus-inner {\n  padding: 0;\n  border-style: none;\n}\n\ntextarea {\n  resize: vertical;\n}\n\nfieldset {\n  min-width: 0;\n  padding: 0;\n  margin: 0;\n  border: 0;\n}\n\nlegend {\n  float: left;\n  width: 100%;\n  padding: 0;\n  margin-bottom: 0.5rem;\n  font-size: calc(1.275rem + 0.3vw);\n  line-height: inherit;\n}\n@media (min-width: 1200px) {\n  legend {\n    font-size: 1.5rem;\n  }\n}\nlegend + * {\n  clear: left;\n}\n\n::-webkit-datetime-edit-fields-wrapper,\n::-webkit-datetime-edit-text,\n::-webkit-datetime-edit-minute,\n::-webkit-datetime-edit-hour-field,\n::-webkit-datetime-edit-day-field,\n::-webkit-datetime-edit-month-field,\n::-webkit-datetime-edit-year-field {\n  padding: 0;\n}\n\n::-webkit-inner-spin-button {\n  height: auto;\n}\n\n[type=search] {\n  -webkit-appearance: textfield;\n  outline-offset: -2px;\n}\n\n/* rtl:raw:\n[type=\"tel\"],\n[type=\"url\"],\n[type=\"email\"],\n[type=\"number\"] {\n  direction: ltr;\n}\n*/\n::-webkit-search-decoration {\n  -webkit-appearance: none;\n}\n\n::-webkit-color-swatch-wrapper {\n  padding: 0;\n}\n\n::file-selector-button {\n  font: inherit;\n  -webkit-appearance: button;\n}\n\noutput {\n  display: inline-block;\n}\n\niframe {\n  border: 0;\n}\n\nsummary {\n  display: list-item;\n  cursor: pointer;\n}\n\nprogress {\n  vertical-align: baseline;\n}\n\n[hidden] {\n  display: none !important;\n}\n\n.lead {\n  font-size: 1.25rem;\n  font-weight: 300;\n}\n\n.display-1 {\n  font-size: calc(1.625rem + 4.5vw);\n  font-weight: 300;\n  line-height: 1.2;\n}\n@media (min-width: 1200px) {\n  .display-1 {\n    font-size: 5rem;\n  }\n}\n\n.display-2 {\n  font-size: calc(1.575rem + 3.9vw);\n  font-weight: 300;\n  line-height: 1.2;\n}\n@media (min-width: 1200px) {\n  .display-2 {\n    font-size: 4.5rem;\n  }\n}\n\n.display-3 {\n  font-size: calc(1.525rem + 3.3vw);\n  font-weight: 300;\n  line-height: 1.2;\n}\n@media (min-width: 1200px) {\n  .display-3 {\n    font-size: 4rem;\n  }\n}\n\n.display-4 {\n  font-size: calc(1.475rem + 2.7vw);\n  font-weight: 300;\n  line-height: 1.2;\n}\n@media (min-width: 1200px) {\n  .display-4 {\n    font-size: 3.5rem;\n  }\n}\n\n.display-5 {\n  font-size: calc(1.425rem + 2.1vw);\n  font-weight: 300;\n  line-height: 1.2;\n}\n@media (min-width: 1200px) {\n  .display-5 {\n    font-size: 3rem;\n  }\n}\n\n.display-6 {\n  font-size: calc(1.375rem + 1.5vw);\n  font-weight: 300;\n  line-height: 1.2;\n}\n@media (min-width: 1200px) {\n  .display-6 {\n    font-size: 2.5rem;\n  }\n}\n\n.list-unstyled {\n  padding-left: 0;\n  list-style: none;\n}\n\n.list-inline {\n  padding-left: 0;\n  list-style: none;\n}\n\n.list-inline-item {\n  display: inline-block;\n}\n.list-inline-item:not(:last-child) {\n  margin-right: 0.5rem;\n}\n\n.initialism {\n  font-size: 0.875em;\n  text-transform: uppercase;\n}\n\n.blockquote {\n  margin-bottom: 1rem;\n  font-size: 1.25rem;\n}\n.blockquote > :last-child {\n  margin-bottom: 0;\n}\n\n.blockquote-footer {\n  margin-top: -1rem;\n  margin-bottom: 1rem;\n  font-size: 0.875em;\n  color: #6c757d;\n}\n.blockquote-footer::before {\n  content: \"— \";\n}\n\n.img-fluid {\n  max-width: 100%;\n  height: auto;\n}\n\n.img-thumbnail {\n  padding: 0.25rem;\n  background-color: var(--bs-body-bg);\n  border: var(--bs-border-width) solid var(--bs-border-color);\n  border-radius: var(--bs-border-radius);\n  max-width: 100%;\n  height: auto;\n}\n\n.figure {\n  display: inline-block;\n}\n\n.figure-img {\n  margin-bottom: 0.5rem;\n  line-height: 1;\n}\n\n.figure-caption {\n  font-size: 0.875em;\n  color: var(--bs-secondary-color);\n}\n\n.container,\n.container-fluid,\n.container-xxl,\n.container-xl,\n.container-lg,\n.container-md,\n.container-sm {\n  --bs-gutter-x: 1.5rem;\n  --bs-gutter-y: 0;\n  width: 100%;\n  padding-right: calc(var(--bs-gutter-x) * 0.5);\n  padding-left: calc(var(--bs-gutter-x) * 0.5);\n  margin-right: auto;\n  margin-left: auto;\n}\n\n@media (min-width: 576px) {\n  .container-sm, .container {\n    max-width: 540px;\n  }\n}\n@media (min-width: 768px) {\n  .container-md, .container-sm, .container {\n    max-width: 720px;\n  }\n}\n@media (min-width: 992px) {\n  .container-lg, .container-md, .container-sm, .container {\n    max-width: 960px;\n  }\n}\n@media (min-width: 1200px) {\n  .container-xl, .container-lg, .container-md, .container-sm, .container {\n    max-width: 1140px;\n  }\n}\n@media (min-width: 1400px) {\n  .container-xxl, .container-xl, .container-lg, .container-md, .container-sm, .container {\n    max-width: 1320px;\n  }\n}\n:root {\n  --bs-breakpoint-xs: 0;\n  --bs-breakpoint-sm: 576px;\n  --bs-breakpoint-md: 768px;\n  --bs-breakpoint-lg: 992px;\n  --bs-breakpoint-xl: 1200px;\n  --bs-breakpoint-xxl: 1400px;\n}\n\n.row {\n  --bs-gutter-x: 1.5rem;\n  --bs-gutter-y: 0;\n  display: flex;\n  flex-wrap: wrap;\n  margin-top: calc(-1 * var(--bs-gutter-y));\n  margin-right: calc(-0.5 * var(--bs-gutter-x));\n  margin-left: calc(-0.5 * var(--bs-gutter-x));\n}\n.row > * {\n  flex-shrink: 0;\n  width: 100%;\n  max-width: 100%;\n  padding-right: calc(var(--bs-gutter-x) * 0.5);\n  padding-left: calc(var(--bs-gutter-x) * 0.5);\n  margin-top: var(--bs-gutter-y);\n}\n\n.col {\n  flex: 1 0 0%;\n}\n\n.row-cols-auto > * {\n  flex: 0 0 auto;\n  width: auto;\n}\n\n.row-cols-1 > * {\n  flex: 0 0 auto;\n  width: 100%;\n}\n\n.row-cols-2 > * {\n  flex: 0 0 auto;\n  width: 50%;\n}\n\n.row-cols-3 > * {\n  flex: 0 0 auto;\n  width: 33.33333333%;\n}\n\n.row-cols-4 > * {\n  flex: 0 0 auto;\n  width: 25%;\n}\n\n.row-cols-5 > * {\n  flex: 0 0 auto;\n  width: 20%;\n}\n\n.row-cols-6 > * {\n  flex: 0 0 auto;\n  width: 16.66666667%;\n}\n\n.col-auto {\n  flex: 0 0 auto;\n  width: auto;\n}\n\n.col-1 {\n  flex: 0 0 auto;\n  width: 8.33333333%;\n}\n\n.col-2 {\n  flex: 0 0 auto;\n  width: 16.66666667%;\n}\n\n.col-3 {\n  flex: 0 0 auto;\n  width: 25%;\n}\n\n.col-4 {\n  flex: 0 0 auto;\n  width: 33.33333333%;\n}\n\n.col-5 {\n  flex: 0 0 auto;\n  width: 41.66666667%;\n}\n\n.col-6 {\n  flex: 0 0 auto;\n  width: 50%;\n}\n\n.col-7 {\n  flex: 0 0 auto;\n  width: 58.33333333%;\n}\n\n.col-8 {\n  flex: 0 0 auto;\n  width: 66.66666667%;\n}\n\n.col-9 {\n  flex: 0 0 auto;\n  width: 75%;\n}\n\n.col-10 {\n  flex: 0 0 auto;\n  width: 83.33333333%;\n}\n\n.col-11 {\n  flex: 0 0 auto;\n  width: 91.66666667%;\n}\n\n.col-12 {\n  flex: 0 0 auto;\n  width: 100%;\n}\n\n.offset-1 {\n  margin-left: 8.33333333%;\n}\n\n.offset-2 {\n  margin-left: 16.66666667%;\n}\n\n.offset-3 {\n  margin-left: 25%;\n}\n\n.offset-4 {\n  margin-left: 33.33333333%;\n}\n\n.offset-5 {\n  margin-left: 41.66666667%;\n}\n\n.offset-6 {\n  margin-left: 50%;\n}\n\n.offset-7 {\n  margin-left: 58.33333333%;\n}\n\n.offset-8 {\n  margin-left: 66.66666667%;\n}\n\n.offset-9 {\n  margin-left: 75%;\n}\n\n.offset-10 {\n  margin-left: 83.33333333%;\n}\n\n.offset-11 {\n  margin-left: 91.66666667%;\n}\n\n.g-0,\n.gx-0 {\n  --bs-gutter-x: 0;\n}\n\n.g-0,\n.gy-0 {\n  --bs-gutter-y: 0;\n}\n\n.g-1,\n.gx-1 {\n  --bs-gutter-x: 0.25rem;\n}\n\n.g-1,\n.gy-1 {\n  --bs-gutter-y: 0.25rem;\n}\n\n.g-2,\n.gx-2 {\n  --bs-gutter-x: 0.5rem;\n}\n\n.g-2,\n.gy-2 {\n  --bs-gutter-y: 0.5rem;\n}\n\n.g-3,\n.gx-3 {\n  --bs-gutter-x: 1rem;\n}\n\n.g-3,\n.gy-3 {\n  --bs-gutter-y: 1rem;\n}\n\n.g-4,\n.gx-4 {\n  --bs-gutter-x: 1.5rem;\n}\n\n.g-4,\n.gy-4 {\n  --bs-gutter-y: 1.5rem;\n}\n\n.g-5,\n.gx-5 {\n  --bs-gutter-x: 3rem;\n}\n\n.g-5,\n.gy-5 {\n  --bs-gutter-y: 3rem;\n}\n\n@media (min-width: 576px) {\n  .col-sm {\n    flex: 1 0 0%;\n  }\n  .row-cols-sm-auto > * {\n    flex: 0 0 auto;\n    width: auto;\n  }\n  .row-cols-sm-1 > * {\n    flex: 0 0 auto;\n    width: 100%;\n  }\n  .row-cols-sm-2 > * {\n    flex: 0 0 auto;\n    width: 50%;\n  }\n  .row-cols-sm-3 > * {\n    flex: 0 0 auto;\n    width: 33.33333333%;\n  }\n  .row-cols-sm-4 > * {\n    flex: 0 0 auto;\n    width: 25%;\n  }\n  .row-cols-sm-5 > * {\n    flex: 0 0 auto;\n    width: 20%;\n  }\n  .row-cols-sm-6 > * {\n    flex: 0 0 auto;\n    width: 16.66666667%;\n  }\n  .col-sm-auto {\n    flex: 0 0 auto;\n    width: auto;\n  }\n  .col-sm-1 {\n    flex: 0 0 auto;\n    width: 8.33333333%;\n  }\n  .col-sm-2 {\n    flex: 0 0 auto;\n    width: 16.66666667%;\n  }\n  .col-sm-3 {\n    flex: 0 0 auto;\n    width: 25%;\n  }\n  .col-sm-4 {\n    flex: 0 0 auto;\n    width: 33.33333333%;\n  }\n  .col-sm-5 {\n    flex: 0 0 auto;\n    width: 41.66666667%;\n  }\n  .col-sm-6 {\n    flex: 0 0 auto;\n    width: 50%;\n  }\n  .col-sm-7 {\n    flex: 0 0 auto;\n    width: 58.33333333%;\n  }\n  .col-sm-8 {\n    flex: 0 0 auto;\n    width: 66.66666667%;\n  }\n  .col-sm-9 {\n    flex: 0 0 auto;\n    width: 75%;\n  }\n  .col-sm-10 {\n    flex: 0 0 auto;\n    width: 83.33333333%;\n  }\n  .col-sm-11 {\n    flex: 0 0 auto;\n    width: 91.66666667%;\n  }\n  .col-sm-12 {\n    flex: 0 0 auto;\n    width: 100%;\n  }\n  .offset-sm-0 {\n    margin-left: 0;\n  }\n  .offset-sm-1 {\n    margin-left: 8.33333333%;\n  }\n  .offset-sm-2 {\n    margin-left: 16.66666667%;\n  }\n  .offset-sm-3 {\n    margin-left: 25%;\n  }\n  .offset-sm-4 {\n    margin-left: 33.33333333%;\n  }\n  .offset-sm-5 {\n    margin-left: 41.66666667%;\n  }\n  .offset-sm-6 {\n    margin-left: 50%;\n  }\n  .offset-sm-7 {\n    margin-left: 58.33333333%;\n  }\n  .offset-sm-8 {\n    margin-left: 66.66666667%;\n  }\n  .offset-sm-9 {\n    margin-left: 75%;\n  }\n  .offset-sm-10 {\n    margin-left: 83.33333333%;\n  }\n  .offset-sm-11 {\n    margin-left: 91.66666667%;\n  }\n  .g-sm-0,\n  .gx-sm-0 {\n    --bs-gutter-x: 0;\n  }\n  .g-sm-0,\n  .gy-sm-0 {\n    --bs-gutter-y: 0;\n  }\n  .g-sm-1,\n  .gx-sm-1 {\n    --bs-gutter-x: 0.25rem;\n  }\n  .g-sm-1,\n  .gy-sm-1 {\n    --bs-gutter-y: 0.25rem;\n  }\n  .g-sm-2,\n  .gx-sm-2 {\n    --bs-gutter-x: 0.5rem;\n  }\n  .g-sm-2,\n  .gy-sm-2 {\n    --bs-gutter-y: 0.5rem;\n  }\n  .g-sm-3,\n  .gx-sm-3 {\n    --bs-gutter-x: 1rem;\n  }\n  .g-sm-3,\n  .gy-sm-3 {\n    --bs-gutter-y: 1rem;\n  }\n  .g-sm-4,\n  .gx-sm-4 {\n    --bs-gutter-x: 1.5rem;\n  }\n  .g-sm-4,\n  .gy-sm-4 {\n    --bs-gutter-y: 1.5rem;\n  }\n  .g-sm-5,\n  .gx-sm-5 {\n    --bs-gutter-x: 3rem;\n  }\n  .g-sm-5,\n  .gy-sm-5 {\n    --bs-gutter-y: 3rem;\n  }\n}\n@media (min-width: 768px) {\n  .col-md {\n    flex: 1 0 0%;\n  }\n  .row-cols-md-auto > * {\n    flex: 0 0 auto;\n    width: auto;\n  }\n  .row-cols-md-1 > * {\n    flex: 0 0 auto;\n    width: 100%;\n  }\n  .row-cols-md-2 > * {\n    flex: 0 0 auto;\n    width: 50%;\n  }\n  .row-cols-md-3 > * {\n    flex: 0 0 auto;\n    width: 33.33333333%;\n  }\n  .row-cols-md-4 > * {\n    flex: 0 0 auto;\n    width: 25%;\n  }\n  .row-cols-md-5 > * {\n    flex: 0 0 auto;\n    width: 20%;\n  }\n  .row-cols-md-6 > * {\n    flex: 0 0 auto;\n    width: 16.66666667%;\n  }\n  .col-md-auto {\n    flex: 0 0 auto;\n    width: auto;\n  }\n  .col-md-1 {\n    flex: 0 0 auto;\n    width: 8.33333333%;\n  }\n  .col-md-2 {\n    flex: 0 0 auto;\n    width: 16.66666667%;\n  }\n  .col-md-3 {\n    flex: 0 0 auto;\n    width: 25%;\n  }\n  .col-md-4 {\n    flex: 0 0 auto;\n    width: 33.33333333%;\n  }\n  .col-md-5 {\n    flex: 0 0 auto;\n    width: 41.66666667%;\n  }\n  .col-md-6 {\n    flex: 0 0 auto;\n    width: 50%;\n  }\n  .col-md-7 {\n    flex: 0 0 auto;\n    width: 58.33333333%;\n  }\n  .col-md-8 {\n    flex: 0 0 auto;\n    width: 66.66666667%;\n  }\n  .col-md-9 {\n    flex: 0 0 auto;\n    width: 75%;\n  }\n  .col-md-10 {\n    flex: 0 0 auto;\n    width: 83.33333333%;\n  }\n  .col-md-11 {\n    flex: 0 0 auto;\n    width: 91.66666667%;\n  }\n  .col-md-12 {\n    flex: 0 0 auto;\n    width: 100%;\n  }\n  .offset-md-0 {\n    margin-left: 0;\n  }\n  .offset-md-1 {\n    margin-left: 8.33333333%;\n  }\n  .offset-md-2 {\n    margin-left: 16.66666667%;\n  }\n  .offset-md-3 {\n    margin-left: 25%;\n  }\n  .offset-md-4 {\n    margin-left: 33.33333333%;\n  }\n  .offset-md-5 {\n    margin-left: 41.66666667%;\n  }\n  .offset-md-6 {\n    margin-left: 50%;\n  }\n  .offset-md-7 {\n    margin-left: 58.33333333%;\n  }\n  .offset-md-8 {\n    margin-left: 66.66666667%;\n  }\n  .offset-md-9 {\n    margin-left: 75%;\n  }\n  .offset-md-10 {\n    margin-left: 83.33333333%;\n  }\n  .offset-md-11 {\n    margin-left: 91.66666667%;\n  }\n  .g-md-0,\n  .gx-md-0 {\n    --bs-gutter-x: 0;\n  }\n  .g-md-0,\n  .gy-md-0 {\n    --bs-gutter-y: 0;\n  }\n  .g-md-1,\n  .gx-md-1 {\n    --bs-gutter-x: 0.25rem;\n  }\n  .g-md-1,\n  .gy-md-1 {\n    --bs-gutter-y: 0.25rem;\n  }\n  .g-md-2,\n  .gx-md-2 {\n    --bs-gutter-x: 0.5rem;\n  }\n  .g-md-2,\n  .gy-md-2 {\n    --bs-gutter-y: 0.5rem;\n  }\n  .g-md-3,\n  .gx-md-3 {\n    --bs-gutter-x: 1rem;\n  }\n  .g-md-3,\n  .gy-md-3 {\n    --bs-gutter-y: 1rem;\n  }\n  .g-md-4,\n  .gx-md-4 {\n    --bs-gutter-x: 1.5rem;\n  }\n  .g-md-4,\n  .gy-md-4 {\n    --bs-gutter-y: 1.5rem;\n  }\n  .g-md-5,\n  .gx-md-5 {\n    --bs-gutter-x: 3rem;\n  }\n  .g-md-5,\n  .gy-md-5 {\n    --bs-gutter-y: 3rem;\n  }\n}\n@media (min-width: 992px) {\n  .col-lg {\n    flex: 1 0 0%;\n  }\n  .row-cols-lg-auto > * {\n    flex: 0 0 auto;\n    width: auto;\n  }\n  .row-cols-lg-1 > * {\n    flex: 0 0 auto;\n    width: 100%;\n  }\n  .row-cols-lg-2 > * {\n    flex: 0 0 auto;\n    width: 50%;\n  }\n  .row-cols-lg-3 > * {\n    flex: 0 0 auto;\n    width: 33.33333333%;\n  }\n  .row-cols-lg-4 > * {\n    flex: 0 0 auto;\n    width: 25%;\n  }\n  .row-cols-lg-5 > * {\n    flex: 0 0 auto;\n    width: 20%;\n  }\n  .row-cols-lg-6 > * {\n    flex: 0 0 auto;\n    width: 16.66666667%;\n  }\n  .col-lg-auto {\n    flex: 0 0 auto;\n    width: auto;\n  }\n  .col-lg-1 {\n    flex: 0 0 auto;\n    width: 8.33333333%;\n  }\n  .col-lg-2 {\n    flex: 0 0 auto;\n    width: 16.66666667%;\n  }\n  .col-lg-3 {\n    flex: 0 0 auto;\n    width: 25%;\n  }\n  .col-lg-4 {\n    flex: 0 0 auto;\n    width: 33.33333333%;\n  }\n  .col-lg-5 {\n    flex: 0 0 auto;\n    width: 41.66666667%;\n  }\n  .col-lg-6 {\n    flex: 0 0 auto;\n    width: 50%;\n  }\n  .col-lg-7 {\n    flex: 0 0 auto;\n    width: 58.33333333%;\n  }\n  .col-lg-8 {\n    flex: 0 0 auto;\n    width: 66.66666667%;\n  }\n  .col-lg-9 {\n    flex: 0 0 auto;\n    width: 75%;\n  }\n  .col-lg-10 {\n    flex: 0 0 auto;\n    width: 83.33333333%;\n  }\n  .col-lg-11 {\n    flex: 0 0 auto;\n    width: 91.66666667%;\n  }\n  .col-lg-12 {\n    flex: 0 0 auto;\n    width: 100%;\n  }\n  .offset-lg-0 {\n    margin-left: 0;\n  }\n  .offset-lg-1 {\n    margin-left: 8.33333333%;\n  }\n  .offset-lg-2 {\n    margin-left: 16.66666667%;\n  }\n  .offset-lg-3 {\n    margin-left: 25%;\n  }\n  .offset-lg-4 {\n    margin-left: 33.33333333%;\n  }\n  .offset-lg-5 {\n    margin-left: 41.66666667%;\n  }\n  .offset-lg-6 {\n    margin-left: 50%;\n  }\n  .offset-lg-7 {\n    margin-left: 58.33333333%;\n  }\n  .offset-lg-8 {\n    margin-left: 66.66666667%;\n  }\n  .offset-lg-9 {\n    margin-left: 75%;\n  }\n  .offset-lg-10 {\n    margin-left: 83.33333333%;\n  }\n  .offset-lg-11 {\n    margin-left: 91.66666667%;\n  }\n  .g-lg-0,\n  .gx-lg-0 {\n    --bs-gutter-x: 0;\n  }\n  .g-lg-0,\n  .gy-lg-0 {\n    --bs-gutter-y: 0;\n  }\n  .g-lg-1,\n  .gx-lg-1 {\n    --bs-gutter-x: 0.25rem;\n  }\n  .g-lg-1,\n  .gy-lg-1 {\n    --bs-gutter-y: 0.25rem;\n  }\n  .g-lg-2,\n  .gx-lg-2 {\n    --bs-gutter-x: 0.5rem;\n  }\n  .g-lg-2,\n  .gy-lg-2 {\n    --bs-gutter-y: 0.5rem;\n  }\n  .g-lg-3,\n  .gx-lg-3 {\n    --bs-gutter-x: 1rem;\n  }\n  .g-lg-3,\n  .gy-lg-3 {\n    --bs-gutter-y: 1rem;\n  }\n  .g-lg-4,\n  .gx-lg-4 {\n    --bs-gutter-x: 1.5rem;\n  }\n  .g-lg-4,\n  .gy-lg-4 {\n    --bs-gutter-y: 1.5rem;\n  }\n  .g-lg-5,\n  .gx-lg-5 {\n    --bs-gutter-x: 3rem;\n  }\n  .g-lg-5,\n  .gy-lg-5 {\n    --bs-gutter-y: 3rem;\n  }\n}\n@media (min-width: 1200px) {\n  .col-xl {\n    flex: 1 0 0%;\n  }\n  .row-cols-xl-auto > * {\n    flex: 0 0 auto;\n    width: auto;\n  }\n  .row-cols-xl-1 > * {\n    flex: 0 0 auto;\n    width: 100%;\n  }\n  .row-cols-xl-2 > * {\n    flex: 0 0 auto;\n    width: 50%;\n  }\n  .row-cols-xl-3 > * {\n    flex: 0 0 auto;\n    width: 33.33333333%;\n  }\n  .row-cols-xl-4 > * {\n    flex: 0 0 auto;\n    width: 25%;\n  }\n  .row-cols-xl-5 > * {\n    flex: 0 0 auto;\n    width: 20%;\n  }\n  .row-cols-xl-6 > * {\n    flex: 0 0 auto;\n    width: 16.66666667%;\n  }\n  .col-xl-auto {\n    flex: 0 0 auto;\n    width: auto;\n  }\n  .col-xl-1 {\n    flex: 0 0 auto;\n    width: 8.33333333%;\n  }\n  .col-xl-2 {\n    flex: 0 0 auto;\n    width: 16.66666667%;\n  }\n  .col-xl-3 {\n    flex: 0 0 auto;\n    width: 25%;\n  }\n  .col-xl-4 {\n    flex: 0 0 auto;\n    width: 33.33333333%;\n  }\n  .col-xl-5 {\n    flex: 0 0 auto;\n    width: 41.66666667%;\n  }\n  .col-xl-6 {\n    flex: 0 0 auto;\n    width: 50%;\n  }\n  .col-xl-7 {\n    flex: 0 0 auto;\n    width: 58.33333333%;\n  }\n  .col-xl-8 {\n    flex: 0 0 auto;\n    width: 66.66666667%;\n  }\n  .col-xl-9 {\n    flex: 0 0 auto;\n    width: 75%;\n  }\n  .col-xl-10 {\n    flex: 0 0 auto;\n    width: 83.33333333%;\n  }\n  .col-xl-11 {\n    flex: 0 0 auto;\n    width: 91.66666667%;\n  }\n  .col-xl-12 {\n    flex: 0 0 auto;\n    width: 100%;\n  }\n  .offset-xl-0 {\n    margin-left: 0;\n  }\n  .offset-xl-1 {\n    margin-left: 8.33333333%;\n  }\n  .offset-xl-2 {\n    margin-left: 16.66666667%;\n  }\n  .offset-xl-3 {\n    margin-left: 25%;\n  }\n  .offset-xl-4 {\n    margin-left: 33.33333333%;\n  }\n  .offset-xl-5 {\n    margin-left: 41.66666667%;\n  }\n  .offset-xl-6 {\n    margin-left: 50%;\n  }\n  .offset-xl-7 {\n    margin-left: 58.33333333%;\n  }\n  .offset-xl-8 {\n    margin-left: 66.66666667%;\n  }\n  .offset-xl-9 {\n    margin-left: 75%;\n  }\n  .offset-xl-10 {\n    margin-left: 83.33333333%;\n  }\n  .offset-xl-11 {\n    margin-left: 91.66666667%;\n  }\n  .g-xl-0,\n  .gx-xl-0 {\n    --bs-gutter-x: 0;\n  }\n  .g-xl-0,\n  .gy-xl-0 {\n    --bs-gutter-y: 0;\n  }\n  .g-xl-1,\n  .gx-xl-1 {\n    --bs-gutter-x: 0.25rem;\n  }\n  .g-xl-1,\n  .gy-xl-1 {\n    --bs-gutter-y: 0.25rem;\n  }\n  .g-xl-2,\n  .gx-xl-2 {\n    --bs-gutter-x: 0.5rem;\n  }\n  .g-xl-2,\n  .gy-xl-2 {\n    --bs-gutter-y: 0.5rem;\n  }\n  .g-xl-3,\n  .gx-xl-3 {\n    --bs-gutter-x: 1rem;\n  }\n  .g-xl-3,\n  .gy-xl-3 {\n    --bs-gutter-y: 1rem;\n  }\n  .g-xl-4,\n  .gx-xl-4 {\n    --bs-gutter-x: 1.5rem;\n  }\n  .g-xl-4,\n  .gy-xl-4 {\n    --bs-gutter-y: 1.5rem;\n  }\n  .g-xl-5,\n  .gx-xl-5 {\n    --bs-gutter-x: 3rem;\n  }\n  .g-xl-5,\n  .gy-xl-5 {\n    --bs-gutter-y: 3rem;\n  }\n}\n@media (min-width: 1400px) {\n  .col-xxl {\n    flex: 1 0 0%;\n  }\n  .row-cols-xxl-auto > * {\n    flex: 0 0 auto;\n    width: auto;\n  }\n  .row-cols-xxl-1 > * {\n    flex: 0 0 auto;\n    width: 100%;\n  }\n  .row-cols-xxl-2 > * {\n    flex: 0 0 auto;\n    width: 50%;\n  }\n  .row-cols-xxl-3 > * {\n    flex: 0 0 auto;\n    width: 33.33333333%;\n  }\n  .row-cols-xxl-4 > * {\n    flex: 0 0 auto;\n    width: 25%;\n  }\n  .row-cols-xxl-5 > * {\n    flex: 0 0 auto;\n    width: 20%;\n  }\n  .row-cols-xxl-6 > * {\n    flex: 0 0 auto;\n    width: 16.66666667%;\n  }\n  .col-xxl-auto {\n    flex: 0 0 auto;\n    width: auto;\n  }\n  .col-xxl-1 {\n    flex: 0 0 auto;\n    width: 8.33333333%;\n  }\n  .col-xxl-2 {\n    flex: 0 0 auto;\n    width: 16.66666667%;\n  }\n  .col-xxl-3 {\n    flex: 0 0 auto;\n    width: 25%;\n  }\n  .col-xxl-4 {\n    flex: 0 0 auto;\n    width: 33.33333333%;\n  }\n  .col-xxl-5 {\n    flex: 0 0 auto;\n    width: 41.66666667%;\n  }\n  .col-xxl-6 {\n    flex: 0 0 auto;\n    width: 50%;\n  }\n  .col-xxl-7 {\n    flex: 0 0 auto;\n    width: 58.33333333%;\n  }\n  .col-xxl-8 {\n    flex: 0 0 auto;\n    width: 66.66666667%;\n  }\n  .col-xxl-9 {\n    flex: 0 0 auto;\n    width: 75%;\n  }\n  .col-xxl-10 {\n    flex: 0 0 auto;\n    width: 83.33333333%;\n  }\n  .col-xxl-11 {\n    flex: 0 0 auto;\n    width: 91.66666667%;\n  }\n  .col-xxl-12 {\n    flex: 0 0 auto;\n    width: 100%;\n  }\n  .offset-xxl-0 {\n    margin-left: 0;\n  }\n  .offset-xxl-1 {\n    margin-left: 8.33333333%;\n  }\n  .offset-xxl-2 {\n    margin-left: 16.66666667%;\n  }\n  .offset-xxl-3 {\n    margin-left: 25%;\n  }\n  .offset-xxl-4 {\n    margin-left: 33.33333333%;\n  }\n  .offset-xxl-5 {\n    margin-left: 41.66666667%;\n  }\n  .offset-xxl-6 {\n    margin-left: 50%;\n  }\n  .offset-xxl-7 {\n    margin-left: 58.33333333%;\n  }\n  .offset-xxl-8 {\n    margin-left: 66.66666667%;\n  }\n  .offset-xxl-9 {\n    margin-left: 75%;\n  }\n  .offset-xxl-10 {\n    margin-left: 83.33333333%;\n  }\n  .offset-xxl-11 {\n    margin-left: 91.66666667%;\n  }\n  .g-xxl-0,\n  .gx-xxl-0 {\n    --bs-gutter-x: 0;\n  }\n  .g-xxl-0,\n  .gy-xxl-0 {\n    --bs-gutter-y: 0;\n  }\n  .g-xxl-1,\n  .gx-xxl-1 {\n    --bs-gutter-x: 0.25rem;\n  }\n  .g-xxl-1,\n  .gy-xxl-1 {\n    --bs-gutter-y: 0.25rem;\n  }\n  .g-xxl-2,\n  .gx-xxl-2 {\n    --bs-gutter-x: 0.5rem;\n  }\n  .g-xxl-2,\n  .gy-xxl-2 {\n    --bs-gutter-y: 0.5rem;\n  }\n  .g-xxl-3,\n  .gx-xxl-3 {\n    --bs-gutter-x: 1rem;\n  }\n  .g-xxl-3,\n  .gy-xxl-3 {\n    --bs-gutter-y: 1rem;\n  }\n  .g-xxl-4,\n  .gx-xxl-4 {\n    --bs-gutter-x: 1.5rem;\n  }\n  .g-xxl-4,\n  .gy-xxl-4 {\n    --bs-gutter-y: 1.5rem;\n  }\n  .g-xxl-5,\n  .gx-xxl-5 {\n    --bs-gutter-x: 3rem;\n  }\n  .g-xxl-5,\n  .gy-xxl-5 {\n    --bs-gutter-y: 3rem;\n  }\n}\n.table {\n  --bs-table-color-type: initial;\n  --bs-table-bg-type: initial;\n  --bs-table-color-state: initial;\n  --bs-table-bg-state: initial;\n  --bs-table-color: var(--bs-emphasis-color);\n  --bs-table-bg: var(--bs-body-bg);\n  --bs-table-border-color: var(--bs-border-color);\n  --bs-table-accent-bg: transparent;\n  --bs-table-striped-color: var(--bs-emphasis-color);\n  --bs-table-striped-bg: rgba(var(--bs-emphasis-color-rgb), 0.05);\n  --bs-table-active-color: var(--bs-emphasis-color);\n  --bs-table-active-bg: rgba(var(--bs-emphasis-color-rgb), 0.1);\n  --bs-table-hover-color: var(--bs-emphasis-color);\n  --bs-table-hover-bg: rgba(var(--bs-emphasis-color-rgb), 0.075);\n  width: 100%;\n  margin-bottom: 1rem;\n  vertical-align: top;\n  border-color: var(--bs-table-border-color);\n}\n.table > :not(caption) > * > * {\n  padding: 0.5rem 0.5rem;\n  color: var(--bs-table-color-state, var(--bs-table-color-type, var(--bs-table-color)));\n  background-color: var(--bs-table-bg);\n  border-bottom-width: var(--bs-border-width);\n  box-shadow: inset 0 0 0 9999px var(--bs-table-bg-state, var(--bs-table-bg-type, var(--bs-table-accent-bg)));\n}\n.table > tbody {\n  vertical-align: inherit;\n}\n.table > thead {\n  vertical-align: bottom;\n}\n\n.table-group-divider {\n  border-top: calc(var(--bs-border-width) * 2) solid currentcolor;\n}\n\n.caption-top {\n  caption-side: top;\n}\n\n.table-sm > :not(caption) > * > * {\n  padding: 0.25rem 0.25rem;\n}\n\n.table-bordered > :not(caption) > * {\n  border-width: var(--bs-border-width) 0;\n}\n.table-bordered > :not(caption) > * > * {\n  border-width: 0 var(--bs-border-width);\n}\n\n.table-borderless > :not(caption) > * > * {\n  border-bottom-width: 0;\n}\n.table-borderless > :not(:first-child) {\n  border-top-width: 0;\n}\n\n.table-striped > tbody > tr:nth-of-type(odd) > * {\n  --bs-table-color-type: var(--bs-table-striped-color);\n  --bs-table-bg-type: var(--bs-table-striped-bg);\n}\n\n.table-striped-columns > :not(caption) > tr > :nth-child(even) {\n  --bs-table-color-type: var(--bs-table-striped-color);\n  --bs-table-bg-type: var(--bs-table-striped-bg);\n}\n\n.table-active {\n  --bs-table-color-state: var(--bs-table-active-color);\n  --bs-table-bg-state: var(--bs-table-active-bg);\n}\n\n.table-hover > tbody > tr:hover > * {\n  --bs-table-color-state: var(--bs-table-hover-color);\n  --bs-table-bg-state: var(--bs-table-hover-bg);\n}\n\n.table-primary {\n  --bs-table-color: #000;\n  --bs-table-bg: #cfe2ff;\n  --bs-table-border-color: #a6b5cc;\n  --bs-table-striped-bg: #c5d7f2;\n  --bs-table-striped-color: #000;\n  --bs-table-active-bg: #bacbe6;\n  --bs-table-active-color: #000;\n  --bs-table-hover-bg: #bfd1ec;\n  --bs-table-hover-color: #000;\n  color: var(--bs-table-color);\n  border-color: var(--bs-table-border-color);\n}\n\n.table-secondary {\n  --bs-table-color: #000;\n  --bs-table-bg: #e2e3e5;\n  --bs-table-border-color: #b5b6b7;\n  --bs-table-striped-bg: #d7d8da;\n  --bs-table-striped-color: #000;\n  --bs-table-active-bg: #cbccce;\n  --bs-table-active-color: #000;\n  --bs-table-hover-bg: #d1d2d4;\n  --bs-table-hover-color: #000;\n  color: var(--bs-table-color);\n  border-color: var(--bs-table-border-color);\n}\n\n.table-success {\n  --bs-table-color: #000;\n  --bs-table-bg: #d1e7dd;\n  --bs-table-border-color: #a7b9b1;\n  --bs-table-striped-bg: #c7dbd2;\n  --bs-table-striped-color: #000;\n  --bs-table-active-bg: #bcd0c7;\n  --bs-table-active-color: #000;\n  --bs-table-hover-bg: #c1d6cc;\n  --bs-table-hover-color: #000;\n  color: var(--bs-table-color);\n  border-color: var(--bs-table-border-color);\n}\n\n.table-info {\n  --bs-table-color: #000;\n  --bs-table-bg: #cff4fc;\n  --bs-table-border-color: #a6c3ca;\n  --bs-table-striped-bg: #c5e8ef;\n  --bs-table-striped-color: #000;\n  --bs-table-active-bg: #badce3;\n  --bs-table-active-color: #000;\n  --bs-table-hover-bg: #bfe2e9;\n  --bs-table-hover-color: #000;\n  color: var(--bs-table-color);\n  border-color: var(--bs-table-border-color);\n}\n\n.table-warning {\n  --bs-table-color: #000;\n  --bs-table-bg: #fff3cd;\n  --bs-table-border-color: #ccc2a4;\n  --bs-table-striped-bg: #f2e7c3;\n  --bs-table-striped-color: #000;\n  --bs-table-active-bg: #e6dbb9;\n  --bs-table-active-color: #000;\n  --bs-table-hover-bg: #ece1be;\n  --bs-table-hover-color: #000;\n  color: var(--bs-table-color);\n  border-color: var(--bs-table-border-color);\n}\n\n.table-danger {\n  --bs-table-color: #000;\n  --bs-table-bg: #f8d7da;\n  --bs-table-border-color: #c6acae;\n  --bs-table-striped-bg: #eccccf;\n  --bs-table-striped-color: #000;\n  --bs-table-active-bg: #dfc2c4;\n  --bs-table-active-color: #000;\n  --bs-table-hover-bg: #e5c7ca;\n  --bs-table-hover-color: #000;\n  color: var(--bs-table-color);\n  border-color: var(--bs-table-border-color);\n}\n\n.table-light {\n  --bs-table-color: #000;\n  --bs-table-bg: #f8f9fa;\n  --bs-table-border-color: #c6c7c8;\n  --bs-table-striped-bg: #ecedee;\n  --bs-table-striped-color: #000;\n  --bs-table-active-bg: #dfe0e1;\n  --bs-table-active-color: #000;\n  --bs-table-hover-bg: #e5e6e7;\n  --bs-table-hover-color: #000;\n  color: var(--bs-table-color);\n  border-color: var(--bs-table-border-color);\n}\n\n.table-dark {\n  --bs-table-color: #fff;\n  --bs-table-bg: #212529;\n  --bs-table-border-color: #4d5154;\n  --bs-table-striped-bg: #2c3034;\n  --bs-table-striped-color: #fff;\n  --bs-table-active-bg: #373b3e;\n  --bs-table-active-color: #fff;\n  --bs-table-hover-bg: #323539;\n  --bs-table-hover-color: #fff;\n  color: var(--bs-table-color);\n  border-color: var(--bs-table-border-color);\n}\n\n.table-responsive {\n  overflow-x: auto;\n  -webkit-overflow-scrolling: touch;\n}\n\n@media (max-width: 575.98px) {\n  .table-responsive-sm {\n    overflow-x: auto;\n    -webkit-overflow-scrolling: touch;\n  }\n}\n@media (max-width: 767.98px) {\n  .table-responsive-md {\n    overflow-x: auto;\n    -webkit-overflow-scrolling: touch;\n  }\n}\n@media (max-width: 991.98px) {\n  .table-responsive-lg {\n    overflow-x: auto;\n    -webkit-overflow-scrolling: touch;\n  }\n}\n@media (max-width: 1199.98px) {\n  .table-responsive-xl {\n    overflow-x: auto;\n    -webkit-overflow-scrolling: touch;\n  }\n}\n@media (max-width: 1399.98px) {\n  .table-responsive-xxl {\n    overflow-x: auto;\n    -webkit-overflow-scrolling: touch;\n  }\n}\n.form-label {\n  margin-bottom: 0.5rem;\n}\n\n.col-form-label {\n  padding-top: calc(0.375rem + var(--bs-border-width));\n  padding-bottom: calc(0.375rem + var(--bs-border-width));\n  margin-bottom: 0;\n  font-size: inherit;\n  line-height: 1.5;\n}\n\n.col-form-label-lg {\n  padding-top: calc(0.5rem + var(--bs-border-width));\n  padding-bottom: calc(0.5rem + var(--bs-border-width));\n  font-size: 1.25rem;\n}\n\n.col-form-label-sm {\n  padding-top: calc(0.25rem + var(--bs-border-width));\n  padding-bottom: calc(0.25rem + var(--bs-border-width));\n  font-size: 0.875rem;\n}\n\n.form-text {\n  margin-top: 0.25rem;\n  font-size: 0.875em;\n  color: var(--bs-secondary-color);\n}\n\n.form-control {\n  display: block;\n  width: 100%;\n  padding: 0.375rem 0.75rem;\n  font-size: 1rem;\n  font-weight: 400;\n  line-height: 1.5;\n  color: var(--bs-body-color);\n  appearance: none;\n  background-color: var(--bs-body-bg);\n  background-clip: padding-box;\n  border: var(--bs-border-width) solid var(--bs-border-color);\n  border-radius: var(--bs-border-radius);\n  transition: border-color 0.15s ease-in-out, box-shadow 0.15s ease-in-out;\n}\n@media (prefers-reduced-motion: reduce) {\n  .form-control {\n    transition: none;\n  }\n}\n.form-control[type=file] {\n  overflow: hidden;\n}\n.form-control[type=file]:not(:disabled):not([readonly]) {\n  cursor: pointer;\n}\n.form-control:focus {\n  color: var(--bs-body-color);\n  background-color: var(--bs-body-bg);\n  border-color: #86b7fe;\n  outline: 0;\n  box-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);\n}\n.form-control::-webkit-date-and-time-value {\n  min-width: 85px;\n  height: 1.5em;\n  margin: 0;\n}\n.form-control::-webkit-datetime-edit {\n  display: block;\n  padding: 0;\n}\n.form-control::placeholder {\n  color: var(--bs-secondary-color);\n  opacity: 1;\n}\n.form-control:disabled {\n  background-color: var(--bs-secondary-bg);\n  opacity: 1;\n}\n.form-control::file-selector-button {\n  padding: 0.375rem 0.75rem;\n  margin: -0.375rem -0.75rem;\n  margin-inline-end: 0.75rem;\n  color: var(--bs-body-color);\n  background-color: var(--bs-tertiary-bg);\n  pointer-events: none;\n  border-color: inherit;\n  border-style: solid;\n  border-width: 0;\n  border-inline-end-width: var(--bs-border-width);\n  border-radius: 0;\n  transition: color 0.15s ease-in-out, background-color 0.15s ease-in-out, border-color 0.15s ease-in-out, box-shadow 0.15s ease-in-out;\n}\n@media (prefers-reduced-motion: reduce) {\n  .form-control::file-selector-button {\n    transition: none;\n  }\n}\n.form-control:hover:not(:disabled):not([readonly])::file-selector-button {\n  background-color: var(--bs-secondary-bg);\n}\n\n.form-control-plaintext {\n  display: block;\n  width: 100%;\n  padding: 0.375rem 0;\n  margin-bottom: 0;\n  line-height: 1.5;\n  color: var(--bs-body-color);\n  background-color: transparent;\n  border: solid transparent;\n  border-width: var(--bs-border-width) 0;\n}\n.form-control-plaintext:focus {\n  outline: 0;\n}\n.form-control-plaintext.form-control-sm, .form-control-plaintext.form-control-lg {\n  padding-right: 0;\n  padding-left: 0;\n}\n\n.form-control-sm {\n  min-height: calc(1.5em + 0.5rem + calc(var(--bs-border-width) * 2));\n  padding: 0.25rem 0.5rem;\n  font-size: 0.875rem;\n  border-radius: var(--bs-border-radius-sm);\n}\n.form-control-sm::file-selector-button {\n  padding: 0.25rem 0.5rem;\n  margin: -0.25rem -0.5rem;\n  margin-inline-end: 0.5rem;\n}\n\n.form-control-lg {\n  min-height: calc(1.5em + 1rem + calc(var(--bs-border-width) * 2));\n  padding: 0.5rem 1rem;\n  font-size: 1.25rem;\n  border-radius: var(--bs-border-radius-lg);\n}\n.form-control-lg::file-selector-button {\n  padding: 0.5rem 1rem;\n  margin: -0.5rem -1rem;\n  margin-inline-end: 1rem;\n}\n\ntextarea.form-control {\n  min-height: calc(1.5em + 0.75rem + calc(var(--bs-border-width) * 2));\n}\ntextarea.form-control-sm {\n  min-height: calc(1.5em + 0.5rem + calc(var(--bs-border-width) * 2));\n}\ntextarea.form-control-lg {\n  min-height: calc(1.5em + 1rem + calc(var(--bs-border-width) * 2));\n}\n\n.form-control-color {\n  width: 3rem;\n  height: calc(1.5em + 0.75rem + calc(var(--bs-border-width) * 2));\n  padding: 0.375rem;\n}\n.form-control-color:not(:disabled):not([readonly]) {\n  cursor: pointer;\n}\n.form-control-color::-moz-color-swatch {\n  border: 0 !important;\n  border-radius: var(--bs-border-radius);\n}\n.form-control-color::-webkit-color-swatch {\n  border: 0 !important;\n  border-radius: var(--bs-border-radius);\n}\n.form-control-color.form-control-sm {\n  height: calc(1.5em + 0.5rem + calc(var(--bs-border-width) * 2));\n}\n.form-control-color.form-control-lg {\n  height: calc(1.5em + 1rem + calc(var(--bs-border-width) * 2));\n}\n\n.form-select {\n  --bs-form-select-bg-img: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill='none' stroke='%23343a40' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5 6 6 6-6'/%3e%3c/svg%3e\");\n  display: block;\n  width: 100%;\n  padding: 0.375rem 2.25rem 0.375rem 0.75rem;\n  font-size: 1rem;\n  font-weight: 400;\n  line-height: 1.5;\n  color: var(--bs-body-color);\n  appearance: none;\n  background-color: var(--bs-body-bg);\n  background-image: var(--bs-form-select-bg-img), var(--bs-form-select-bg-icon, none);\n  background-repeat: no-repeat;\n  background-position: right 0.75rem center;\n  background-size: 16px 12px;\n  border: var(--bs-border-width) solid var(--bs-border-color);\n  border-radius: var(--bs-border-radius);\n  transition: border-color 0.15s ease-in-out, box-shadow 0.15s ease-in-out;\n}\n@media (prefers-reduced-motion: reduce) {\n  .form-select {\n    transition: none;\n  }\n}\n.form-select:focus {\n  border-color: #86b7fe;\n  outline: 0;\n  box-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);\n}\n.form-select[multiple], .form-select[size]:not([size=\"1\"]) {\n  padding-right: 0.75rem;\n  background-image: none;\n}\n.form-select:disabled {\n  background-color: var(--bs-secondary-bg);\n}\n.form-select:-moz-focusring {\n  color: transparent;\n  text-shadow: 0 0 0 var(--bs-body-color);\n}\n\n.form-select-sm {\n  padding-top: 0.25rem;\n  padding-bottom: 0.25rem;\n  padding-left: 0.5rem;\n  font-size: 0.875rem;\n  border-radius: var(--bs-border-radius-sm);\n}\n\n.form-select-lg {\n  padding-top: 0.5rem;\n  padding-bottom: 0.5rem;\n  padding-left: 1rem;\n  font-size: 1.25rem;\n  border-radius: var(--bs-border-radius-lg);\n}\n\n[data-bs-theme=dark] .form-select {\n  --bs-form-select-bg-img: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill='none' stroke='%23dee2e6' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5 6 6 6-6'/%3e%3c/svg%3e\");\n}\n\n.form-check {\n  display: block;\n  min-height: 1.5rem;\n  padding-left: 1.5em;\n  margin-bottom: 0.125rem;\n}\n.form-check .form-check-input {\n  float: left;\n  margin-left: -1.5em;\n}\n\n.form-check-reverse {\n  padding-right: 1.5em;\n  padding-left: 0;\n  text-align: right;\n}\n.form-check-reverse .form-check-input {\n  float: right;\n  margin-right: -1.5em;\n  margin-left: 0;\n}\n\n.form-check-input {\n  --bs-form-check-bg: var(--bs-body-bg);\n  flex-shrink: 0;\n  width: 1em;\n  height: 1em;\n  margin-top: 0.25em;\n  vertical-align: top;\n  appearance: none;\n  background-color: var(--bs-form-check-bg);\n  background-image: var(--bs-form-check-bg-image);\n  background-repeat: no-repeat;\n  background-position: center;\n  background-size: contain;\n  border: var(--bs-border-width) solid var(--bs-border-color);\n  print-color-adjust: exact;\n}\n.form-check-input[type=checkbox] {\n  border-radius: 0.25em;\n}\n.form-check-input[type=radio] {\n  border-radius: 50%;\n}\n.form-check-input:active {\n  filter: brightness(90%);\n}\n.form-check-input:focus {\n  border-color: #86b7fe;\n  outline: 0;\n  box-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);\n}\n.form-check-input:checked {\n  background-color: #0d6efd;\n  border-color: #0d6efd;\n}\n.form-check-input:checked[type=checkbox] {\n  --bs-form-check-bg-image: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'%3e%3cpath fill='none' stroke='%23fff' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='m6 10 3 3 6-6'/%3e%3c/svg%3e\");\n}\n.form-check-input:checked[type=radio] {\n  --bs-form-check-bg-image: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='2' fill='%23fff'/%3e%3c/svg%3e\");\n}\n.form-check-input[type=checkbox]:indeterminate {\n  background-color: #0d6efd;\n  border-color: #0d6efd;\n  --bs-form-check-bg-image: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'%3e%3cpath fill='none' stroke='%23fff' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='M6 10h8'/%3e%3c/svg%3e\");\n}\n.form-check-input:disabled {\n  pointer-events: none;\n  filter: none;\n  opacity: 0.5;\n}\n.form-check-input[disabled] ~ .form-check-label, .form-check-input:disabled ~ .form-check-label {\n  cursor: default;\n  opacity: 0.5;\n}\n\n.form-switch {\n  padding-left: 2.5em;\n}\n.form-switch .form-check-input {\n  --bs-form-switch-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='3' fill='rgba%280, 0, 0, 0.25%29'/%3e%3c/svg%3e\");\n  width: 2em;\n  margin-left: -2.5em;\n  background-image: var(--bs-form-switch-bg);\n  background-position: left center;\n  border-radius: 2em;\n  transition: background-position 0.15s ease-in-out;\n}\n@media (prefers-reduced-motion: reduce) {\n  .form-switch .form-check-input {\n    transition: none;\n  }\n}\n.form-switch .form-check-input:focus {\n  --bs-form-switch-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='3' fill='%2386b7fe'/%3e%3c/svg%3e\");\n}\n.form-switch .form-check-input:checked {\n  background-position: right center;\n  --bs-form-switch-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='3' fill='%23fff'/%3e%3c/svg%3e\");\n}\n.form-switch.form-check-reverse {\n  padding-right: 2.5em;\n  padding-left: 0;\n}\n.form-switch.form-check-reverse .form-check-input {\n  margin-right: -2.5em;\n  margin-left: 0;\n}\n\n.form-check-inline {\n  display: inline-block;\n  margin-right: 1rem;\n}\n\n.btn-check {\n  position: absolute;\n  clip: rect(0, 0, 0, 0);\n  pointer-events: none;\n}\n.btn-check[disabled] + .btn, .btn-check:disabled + .btn {\n  pointer-events: none;\n  filter: none;\n  opacity: 0.65;\n}\n\n[data-bs-theme=dark] .form-switch .form-check-input:not(:checked):not(:focus) {\n  --bs-form-switch-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'%3e%3ccircle r='3' fill='rgba%28255, 255, 255, 0.25%29'/%3e%3c/svg%3e\");\n}\n\n.form-range {\n  width: 100%;\n  height: 1.5rem;\n  padding: 0;\n  appearance: none;\n  background-color: transparent;\n}\n.form-range:focus {\n  outline: 0;\n}\n.form-range:focus::-webkit-slider-thumb {\n  box-shadow: 0 0 0 1px #fff, 0 0 0 0.25rem rgba(13, 110, 253, 0.25);\n}\n.form-range:focus::-moz-range-thumb {\n  box-shadow: 0 0 0 1px #fff, 0 0 0 0.25rem rgba(13, 110, 253, 0.25);\n}\n.form-range::-moz-focus-outer {\n  border: 0;\n}\n.form-range::-webkit-slider-thumb {\n  width: 1rem;\n  height: 1rem;\n  margin-top: -0.25rem;\n  appearance: none;\n  background-color: #0d6efd;\n  border: 0;\n  border-radius: 1rem;\n  transition: background-color 0.15s ease-in-out, border-color 0.15s ease-in-out, box-shadow 0.15s ease-in-out;\n}\n@media (prefers-reduced-motion: reduce) {\n  .form-range::-webkit-slider-thumb {\n    transition: none;\n  }\n}\n.form-range::-webkit-slider-thumb:active {\n  background-color: #b6d4fe;\n}\n.form-range::-webkit-slider-runnable-track {\n  width: 100%;\n  height: 0.5rem;\n  color: transparent;\n  cursor: pointer;\n  background-color: var(--bs-secondary-bg);\n  border-color: transparent;\n  border-radius: 1rem;\n}\n.form-range::-moz-range-thumb {\n  width: 1rem;\n  height: 1rem;\n  appearance: none;\n  background-color: #0d6efd;\n  border: 0;\n  border-radius: 1rem;\n  transition: background-color 0.15s ease-in-out, border-color 0.15s ease-in-out, box-shadow 0.15s ease-in-out;\n}\n@media (prefers-reduced-motion: reduce) {\n  .form-range::-moz-range-thumb {\n    transition: none;\n  }\n}\n.form-range::-moz-range-thumb:active {\n  background-color: #b6d4fe;\n}\n.form-range::-moz-range-track {\n  width: 100%;\n  height: 0.5rem;\n  color: transparent;\n  cursor: pointer;\n  background-color: var(--bs-secondary-bg);\n  border-color: transparent;\n  border-radius: 1rem;\n}\n.form-range:disabled {\n  pointer-events: none;\n}\n.form-range:disabled::-webkit-slider-thumb {\n  background-color: var(--bs-secondary-color);\n}\n.form-range:disabled::-moz-range-thumb {\n  background-color: var(--bs-secondary-color);\n}\n\n.form-floating {\n  position: relative;\n}\n.form-floating > .form-control,\n.form-floating > .form-control-plaintext,\n.form-floating > .form-select {\n  height: calc(3.5rem + calc(var(--bs-border-width) * 2));\n  min-height: calc(3.5rem + calc(var(--bs-border-width) * 2));\n  line-height: 1.25;\n}\n.form-floating > label {\n  position: absolute;\n  top: 0;\n  left: 0;\n  z-index: 2;\n  height: 100%;\n  padding: 1rem 0.75rem;\n  overflow: hidden;\n  text-align: start;\n  text-overflow: ellipsis;\n  white-space: nowrap;\n  pointer-events: none;\n  border: var(--bs-border-width) solid transparent;\n  transform-origin: 0 0;\n  transition: opacity 0.1s ease-in-out, transform 0.1s ease-in-out;\n}\n@media (prefers-reduced-motion: reduce) {\n  .form-floating > label {\n    transition: none;\n  }\n}\n.form-floating > .form-control,\n.form-floating > .form-control-plaintext {\n  padding: 1rem 0.75rem;\n}\n.form-floating > .form-control::placeholder,\n.form-floating > .form-control-plaintext::placeholder {\n  color: transparent;\n}\n.form-floating > .form-control:focus, .form-floating > .form-control:not(:placeholder-shown),\n.form-floating > .form-control-plaintext:focus,\n.form-floating > .form-control-plaintext:not(:placeholder-shown) {\n  padding-top: 1.625rem;\n  padding-bottom: 0.625rem;\n}\n.form-floating > .form-control:-webkit-autofill,\n.form-floating > .form-control-plaintext:-webkit-autofill {\n  padding-top: 1.625rem;\n  padding-bottom: 0.625rem;\n}\n.form-floating > .form-select {\n  padding-top: 1.625rem;\n  padding-bottom: 0.625rem;\n}\n.form-floating > .form-control:focus ~ label,\n.form-floating > .form-control:not(:placeholder-shown) ~ label,\n.form-floating > .form-control-plaintext ~ label,\n.form-floating > .form-select ~ label {\n  color: rgba(var(--bs-body-color-rgb), 0.65);\n  transform: scale(0.85) translateY(-0.5rem) translateX(0.15rem);\n}\n.form-floating > .form-control:focus ~ label::after,\n.form-floating > .form-control:not(:placeholder-shown) ~ label::after,\n.form-floating > .form-control-plaintext ~ label::after,\n.form-floating > .form-select ~ label::after {\n  position: absolute;\n  inset: 1rem 0.375rem;\n  z-index: -1;\n  height: 1.5em;\n  content: \"\";\n  background-color: var(--bs-body-bg);\n  border-radius: var(--bs-border-radius);\n}\n.form-floating > .form-control:-webkit-autofill ~ label {\n  color: rgba(var(--bs-body-color-rgb), 0.65);\n  transform: scale(0.85) translateY(-0.5rem) translateX(0.15rem);\n}\n.form-floating > .form-control-plaintext ~ label {\n  border-width: var(--bs-border-width) 0;\n}\n.form-floating > :disabled ~ label,\n.form-floating > .form-control:disabled ~ label {\n  color: #6c757d;\n}\n.form-floating > :disabled ~ label::after,\n.form-floating > .form-control:disabled ~ label::after {\n  background-color: var(--bs-secondary-bg);\n}\n\n.input-group {\n  position: relative;\n  display: flex;\n  flex-wrap: wrap;\n  align-items: stretch;\n  width: 100%;\n}\n.input-group > .form-control,\n.input-group > .form-select,\n.input-group > .form-floating {\n  position: relative;\n  flex: 1 1 auto;\n  width: 1%;\n  min-width: 0;\n}\n.input-group > .form-control:focus,\n.input-group > .form-select:focus,\n.input-group > .form-floating:focus-within {\n  z-index: 5;\n}\n.input-group .btn {\n  position: relative;\n  z-index: 2;\n}\n.input-group .btn:focus {\n  z-index: 5;\n}\n\n.input-group-text {\n  display: flex;\n  align-items: center;\n  padding: 0.375rem 0.75rem;\n  font-size: 1rem;\n  font-weight: 400;\n  line-height: 1.5;\n  color: var(--bs-body-color);\n  text-align: center;\n  white-space: nowrap;\n  background-color: var(--bs-tertiary-bg);\n  border: var(--bs-border-width) solid var(--bs-border-color);\n  border-radius: var(--bs-border-radius);\n}\n\n.input-group-lg > .form-control,\n.input-group-lg > .form-select,\n.input-group-lg > .input-group-text,\n.input-group-lg > .btn {\n  padding: 0.5rem 1rem;\n  font-size: 1.25rem;\n  border-radius: var(--bs-border-radius-lg);\n}\n\n.input-group-sm > .form-control,\n.input-group-sm > .form-select,\n.input-group-sm > .input-group-text,\n.input-group-sm > .btn {\n  padding: 0.25rem 0.5rem;\n  font-size: 0.875rem;\n  border-radius: var(--bs-border-radius-sm);\n}\n\n.input-group-lg > .form-select,\n.input-group-sm > .form-select {\n  padding-right: 3rem;\n}\n\n.input-group:not(.has-validation) > :not(:last-child):not(.dropdown-toggle):not(.dropdown-menu):not(.form-floating),\n.input-group:not(.has-validation) > .dropdown-toggle:nth-last-child(n+3),\n.input-group:not(.has-validation) > .form-floating:not(:last-child) > .form-control,\n.input-group:not(.has-validation) > .form-floating:not(:last-child) > .form-select {\n  border-top-right-radius: 0;\n  border-bottom-right-radius: 0;\n}\n.input-group.has-validation > :nth-last-child(n+3):not(.dropdown-toggle):not(.dropdown-menu):not(.form-floating),\n.input-group.has-validation > .dropdown-toggle:nth-last-child(n+4),\n.input-group.has-validation > .form-floating:nth-last-child(n+3) > .form-control,\n.input-group.has-validation > .form-floating:nth-last-child(n+3) > .form-select {\n  border-top-right-radius: 0;\n  border-bottom-right-radius: 0;\n}\n.input-group > :not(:first-child):not(.dropdown-menu):not(.valid-tooltip):not(.valid-feedback):not(.invalid-tooltip):not(.invalid-feedback) {\n  margin-left: calc(var(--bs-border-width) * -1);\n  border-top-left-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.input-group > .form-floating:not(:first-child) > .form-control,\n.input-group > .form-floating:not(:first-child) > .form-select {\n  border-top-left-radius: 0;\n  border-bottom-left-radius: 0;\n}\n\n.valid-feedback {\n  display: none;\n  width: 100%;\n  margin-top: 0.25rem;\n  font-size: 0.875em;\n  color: var(--bs-form-valid-color);\n}\n\n.valid-tooltip {\n  position: absolute;\n  top: 100%;\n  z-index: 5;\n  display: none;\n  max-width: 100%;\n  padding: 0.25rem 0.5rem;\n  margin-top: 0.1rem;\n  font-size: 0.875rem;\n  color: #fff;\n  background-color: var(--bs-success);\n  border-radius: var(--bs-border-radius);\n}\n\n.was-validated :valid ~ .valid-feedback,\n.was-validated :valid ~ .valid-tooltip,\n.is-valid ~ .valid-feedback,\n.is-valid ~ .valid-tooltip {\n  display: block;\n}\n\n.was-validated .form-control:valid, .form-control.is-valid {\n  border-color: var(--bs-form-valid-border-color);\n  padding-right: calc(1.5em + 0.75rem);\n  background-image: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 8 8'%3e%3cpath fill='%23198754' d='M2.3 6.73.6 4.53c-.4-1.04.46-1.4 1.1-.8l1.1 1.4 3.4-3.8c.6-.63 1.6-.27 1.2.7l-4 4.6c-.43.5-.8.4-1.1.1z'/%3e%3c/svg%3e\");\n  background-repeat: no-repeat;\n  background-position: right calc(0.375em + 0.1875rem) center;\n  background-size: calc(0.75em + 0.375rem) calc(0.75em + 0.375rem);\n}\n.was-validated .form-control:valid:focus, .form-control.is-valid:focus {\n  border-color: var(--bs-form-valid-border-color);\n  box-shadow: 0 0 0 0.25rem rgba(var(--bs-success-rgb), 0.25);\n}\n\n.was-validated textarea.form-control:valid, textarea.form-control.is-valid {\n  padding-right: calc(1.5em + 0.75rem);\n  background-position: top calc(0.375em + 0.1875rem) right calc(0.375em + 0.1875rem);\n}\n\n.was-validated .form-select:valid, .form-select.is-valid {\n  border-color: var(--bs-form-valid-border-color);\n}\n.was-validated .form-select:valid:not([multiple]):not([size]), .was-validated .form-select:valid:not([multiple])[size=\"1\"], .form-select.is-valid:not([multiple]):not([size]), .form-select.is-valid:not([multiple])[size=\"1\"] {\n  --bs-form-select-bg-icon: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 8 8'%3e%3cpath fill='%23198754' d='M2.3 6.73.6 4.53c-.4-1.04.46-1.4 1.1-.8l1.1 1.4 3.4-3.8c.6-.63 1.6-.27 1.2.7l-4 4.6c-.43.5-.8.4-1.1.1z'/%3e%3c/svg%3e\");\n  padding-right: 4.125rem;\n  background-position: right 0.75rem center, center right 2.25rem;\n  background-size: 16px 12px, calc(0.75em + 0.375rem) calc(0.75em + 0.375rem);\n}\n.was-validated .form-select:valid:focus, .form-select.is-valid:focus {\n  border-color: var(--bs-form-valid-border-color);\n  box-shadow: 0 0 0 0.25rem rgba(var(--bs-success-rgb), 0.25);\n}\n\n.was-validated .form-control-color:valid, .form-control-color.is-valid {\n  width: calc(3rem + calc(1.5em + 0.75rem));\n}\n\n.was-validated .form-check-input:valid, .form-check-input.is-valid {\n  border-color: var(--bs-form-valid-border-color);\n}\n.was-validated .form-check-input:valid:checked, .form-check-input.is-valid:checked {\n  background-color: var(--bs-form-valid-color);\n}\n.was-validated .form-check-input:valid:focus, .form-check-input.is-valid:focus {\n  box-shadow: 0 0 0 0.25rem rgba(var(--bs-success-rgb), 0.25);\n}\n.was-validated .form-check-input:valid ~ .form-check-label, .form-check-input.is-valid ~ .form-check-label {\n  color: var(--bs-form-valid-color);\n}\n\n.form-check-inline .form-check-input ~ .valid-feedback {\n  margin-left: 0.5em;\n}\n\n.was-validated .input-group > .form-control:not(:focus):valid, .input-group > .form-control:not(:focus).is-valid,\n.was-validated .input-group > .form-select:not(:focus):valid,\n.input-group > .form-select:not(:focus).is-valid,\n.was-validated .input-group > .form-floating:not(:focus-within):valid,\n.input-group > .form-floating:not(:focus-within).is-valid {\n  z-index: 3;\n}\n\n.invalid-feedback {\n  display: none;\n  width: 100%;\n  margin-top: 0.25rem;\n  font-size: 0.875em;\n  color: var(--bs-form-invalid-color);\n}\n\n.invalid-tooltip {\n  position: absolute;\n  top: 100%;\n  z-index: 5;\n  display: none;\n  max-width: 100%;\n  padding: 0.25rem 0.5rem;\n  margin-top: 0.1rem;\n  font-size: 0.875rem;\n  color: #fff;\n  background-color: var(--bs-danger);\n  border-radius: var(--bs-border-radius);\n}\n\n.was-validated :invalid ~ .invalid-feedback,\n.was-validated :invalid ~ .invalid-tooltip,\n.is-invalid ~ .invalid-feedback,\n.is-invalid ~ .invalid-tooltip {\n  display: block;\n}\n\n.was-validated .form-control:invalid, .form-control.is-invalid {\n  border-color: var(--bs-form-invalid-border-color);\n  padding-right: calc(1.5em + 0.75rem);\n  background-image: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 12 12' width='12' height='12' fill='none' stroke='%23dc3545'%3e%3ccircle cx='6' cy='6' r='4.5'/%3e%3cpath stroke-linejoin='round' d='M5.8 3.6h.4L6 6.5z'/%3e%3ccircle cx='6' cy='8.2' r='.6' fill='%23dc3545' stroke='none'/%3e%3c/svg%3e\");\n  background-repeat: no-repeat;\n  background-position: right calc(0.375em + 0.1875rem) center;\n  background-size: calc(0.75em + 0.375rem) calc(0.75em + 0.375rem);\n}\n.was-validated .form-control:invalid:focus, .form-control.is-invalid:focus {\n  border-color: var(--bs-form-invalid-border-color);\n  box-shadow: 0 0 0 0.25rem rgba(var(--bs-danger-rgb), 0.25);\n}\n\n.was-validated textarea.form-control:invalid, textarea.form-control.is-invalid {\n  padding-right: calc(1.5em + 0.75rem);\n  background-position: top calc(0.375em + 0.1875rem) right calc(0.375em + 0.1875rem);\n}\n\n.was-validated .form-select:invalid, .form-select.is-invalid {\n  border-color: var(--bs-form-invalid-border-color);\n}\n.was-validated .form-select:invalid:not([multiple]):not([size]), .was-validated .form-select:invalid:not([multiple])[size=\"1\"], .form-select.is-invalid:not([multiple]):not([size]), .form-select.is-invalid:not([multiple])[size=\"1\"] {\n  --bs-form-select-bg-icon: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 12 12' width='12' height='12' fill='none' stroke='%23dc3545'%3e%3ccircle cx='6' cy='6' r='4.5'/%3e%3cpath stroke-linejoin='round' d='M5.8 3.6h.4L6 6.5z'/%3e%3ccircle cx='6' cy='8.2' r='.6' fill='%23dc3545' stroke='none'/%3e%3c/svg%3e\");\n  padding-right: 4.125rem;\n  background-position: right 0.75rem center, center right 2.25rem;\n  background-size: 16px 12px, calc(0.75em + 0.375rem) calc(0.75em + 0.375rem);\n}\n.was-validated .form-select:invalid:focus, .form-select.is-invalid:focus {\n  border-color: var(--bs-form-invalid-border-color);\n  box-shadow: 0 0 0 0.25rem rgba(var(--bs-danger-rgb), 0.25);\n}\n\n.was-validated .form-control-color:invalid, .form-control-color.is-invalid {\n  width: calc(3rem + calc(1.5em + 0.75rem));\n}\n\n.was-validated .form-check-input:invalid, .form-check-input.is-invalid {\n  border-color: var(--bs-form-invalid-border-color);\n}\n.was-validated .form-check-input:invalid:checked, .form-check-input.is-invalid:checked {\n  background-color: var(--bs-form-invalid-color);\n}\n.was-validated .form-check-input:invalid:focus, .form-check-input.is-invalid:focus {\n  box-shadow: 0 0 0 0.25rem rgba(var(--bs-danger-rgb), 0.25);\n}\n.was-validated .form-check-input:invalid ~ .form-check-label, .form-check-input.is-invalid ~ .form-check-label {\n  color: var(--bs-form-invalid-color);\n}\n\n.form-check-inline .form-check-input ~ .invalid-feedback {\n  margin-left: 0.5em;\n}\n\n.was-validated .input-group > .form-control:not(:focus):invalid, .input-group > .form-control:not(:focus).is-invalid,\n.was-validated .input-group > .form-select:not(:focus):invalid,\n.input-group > .form-select:not(:focus).is-invalid,\n.was-validated .input-group > .form-floating:not(:focus-within):invalid,\n.input-group > .form-floating:not(:focus-within).is-invalid {\n  z-index: 4;\n}\n\n.btn {\n  --bs-btn-padding-x: 0.75rem;\n  --bs-btn-padding-y: 0.375rem;\n  --bs-btn-font-family: ;\n  --bs-btn-font-size: 1rem;\n  --bs-btn-font-weight: 400;\n  --bs-btn-line-height: 1.5;\n  --bs-btn-color: var(--bs-body-color);\n  --bs-btn-bg: transparent;\n  --bs-btn-border-width: var(--bs-border-width);\n  --bs-btn-border-color: transparent;\n  --bs-btn-border-radius: var(--bs-border-radius);\n  --bs-btn-hover-border-color: transparent;\n  --bs-btn-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 1px rgba(0, 0, 0, 0.075);\n  --bs-btn-disabled-opacity: 0.65;\n  --bs-btn-focus-box-shadow: 0 0 0 0.25rem rgba(var(--bs-btn-focus-shadow-rgb), .5);\n  display: inline-block;\n  padding: var(--bs-btn-padding-y) var(--bs-btn-padding-x);\n  font-family: var(--bs-btn-font-family);\n  font-size: var(--bs-btn-font-size);\n  font-weight: var(--bs-btn-font-weight);\n  line-height: var(--bs-btn-line-height);\n  color: var(--bs-btn-color);\n  text-align: center;\n  text-decoration: none;\n  vertical-align: middle;\n  cursor: pointer;\n  user-select: none;\n  border: var(--bs-btn-border-width) solid var(--bs-btn-border-color);\n  border-radius: var(--bs-btn-border-radius);\n  background-color: var(--bs-btn-bg);\n  transition: color 0.15s ease-in-out, background-color 0.15s ease-in-out, border-color 0.15s ease-in-out, box-shadow 0.15s ease-in-out;\n}\n@media (prefers-reduced-motion: reduce) {\n  .btn {\n    transition: none;\n  }\n}\n.btn:hover {\n  color: var(--bs-btn-hover-color);\n  background-color: var(--bs-btn-hover-bg);\n  border-color: var(--bs-btn-hover-border-color);\n}\n.btn-check + .btn:hover {\n  color: var(--bs-btn-color);\n  background-color: var(--bs-btn-bg);\n  border-color: var(--bs-btn-border-color);\n}\n.btn:focus-visible {\n  color: var(--bs-btn-hover-color);\n  background-color: var(--bs-btn-hover-bg);\n  border-color: var(--bs-btn-hover-border-color);\n  outline: 0;\n  box-shadow: var(--bs-btn-focus-box-shadow);\n}\n.btn-check:focus-visible + .btn {\n  border-color: var(--bs-btn-hover-border-color);\n  outline: 0;\n  box-shadow: var(--bs-btn-focus-box-shadow);\n}\n.btn-check:checked + .btn, :not(.btn-check) + .btn:active, .btn:first-child:active, .btn.active, .btn.show {\n  color: var(--bs-btn-active-color);\n  background-color: var(--bs-btn-active-bg);\n  border-color: var(--bs-btn-active-border-color);\n}\n.btn-check:checked + .btn:focus-visible, :not(.btn-check) + .btn:active:focus-visible, .btn:first-child:active:focus-visible, .btn.active:focus-visible, .btn.show:focus-visible {\n  box-shadow: var(--bs-btn-focus-box-shadow);\n}\n.btn-check:checked:focus-visible + .btn {\n  box-shadow: var(--bs-btn-focus-box-shadow);\n}\n.btn:disabled, .btn.disabled, fieldset:disabled .btn {\n  color: var(--bs-btn-disabled-color);\n  pointer-events: none;\n  background-color: var(--bs-btn-disabled-bg);\n  border-color: var(--bs-btn-disabled-border-color);\n  opacity: var(--bs-btn-disabled-opacity);\n}\n\n.btn-primary {\n  --bs-btn-color: #fff;\n  --bs-btn-bg: #0d6efd;\n  --bs-btn-border-color: #0d6efd;\n  --bs-btn-hover-color: #fff;\n  --bs-btn-hover-bg: #0b5ed7;\n  --bs-btn-hover-border-color: #0a58ca;\n  --bs-btn-focus-shadow-rgb: 49, 132, 253;\n  --bs-btn-active-color: #fff;\n  --bs-btn-active-bg: #0a58ca;\n  --bs-btn-active-border-color: #0a53be;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #fff;\n  --bs-btn-disabled-bg: #0d6efd;\n  --bs-btn-disabled-border-color: #0d6efd;\n}\n\n.btn-secondary {\n  --bs-btn-color: #fff;\n  --bs-btn-bg: #6c757d;\n  --bs-btn-border-color: #6c757d;\n  --bs-btn-hover-color: #fff;\n  --bs-btn-hover-bg: #5c636a;\n  --bs-btn-hover-border-color: #565e64;\n  --bs-btn-focus-shadow-rgb: 130, 138, 145;\n  --bs-btn-active-color: #fff;\n  --bs-btn-active-bg: #565e64;\n  --bs-btn-active-border-color: #51585e;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #fff;\n  --bs-btn-disabled-bg: #6c757d;\n  --bs-btn-disabled-border-color: #6c757d;\n}\n\n.btn-success {\n  --bs-btn-color: #fff;\n  --bs-btn-bg: #198754;\n  --bs-btn-border-color: #198754;\n  --bs-btn-hover-color: #fff;\n  --bs-btn-hover-bg: #157347;\n  --bs-btn-hover-border-color: #146c43;\n  --bs-btn-focus-shadow-rgb: 60, 153, 110;\n  --bs-btn-active-color: #fff;\n  --bs-btn-active-bg: #146c43;\n  --bs-btn-active-border-color: #13653f;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #fff;\n  --bs-btn-disabled-bg: #198754;\n  --bs-btn-disabled-border-color: #198754;\n}\n\n.btn-info {\n  --bs-btn-color: #000;\n  --bs-btn-bg: #0dcaf0;\n  --bs-btn-border-color: #0dcaf0;\n  --bs-btn-hover-color: #000;\n  --bs-btn-hover-bg: #31d2f2;\n  --bs-btn-hover-border-color: #25cff2;\n  --bs-btn-focus-shadow-rgb: 11, 172, 204;\n  --bs-btn-active-color: #000;\n  --bs-btn-active-bg: #3dd5f3;\n  --bs-btn-active-border-color: #25cff2;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #000;\n  --bs-btn-disabled-bg: #0dcaf0;\n  --bs-btn-disabled-border-color: #0dcaf0;\n}\n\n.btn-warning {\n  --bs-btn-color: #000;\n  --bs-btn-bg: #ffc107;\n  --bs-btn-border-color: #ffc107;\n  --bs-btn-hover-color: #000;\n  --bs-btn-hover-bg: #ffca2c;\n  --bs-btn-hover-border-color: #ffc720;\n  --bs-btn-focus-shadow-rgb: 217, 164, 6;\n  --bs-btn-active-color: #000;\n  --bs-btn-active-bg: #ffcd39;\n  --bs-btn-active-border-color: #ffc720;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #000;\n  --bs-btn-disabled-bg: #ffc107;\n  --bs-btn-disabled-border-color: #ffc107;\n}\n\n.btn-danger {\n  --bs-btn-color: #fff;\n  --bs-btn-bg: #dc3545;\n  --bs-btn-border-color: #dc3545;\n  --bs-btn-hover-color: #fff;\n  --bs-btn-hover-bg: #bb2d3b;\n  --bs-btn-hover-border-color: #b02a37;\n  --bs-btn-focus-shadow-rgb: 225, 83, 97;\n  --bs-btn-active-color: #fff;\n  --bs-btn-active-bg: #b02a37;\n  --bs-btn-active-border-color: #a52834;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #fff;\n  --bs-btn-disabled-bg: #dc3545;\n  --bs-btn-disabled-border-color: #dc3545;\n}\n\n.btn-light {\n  --bs-btn-color: #000;\n  --bs-btn-bg: #f8f9fa;\n  --bs-btn-border-color: #f8f9fa;\n  --bs-btn-hover-color: #000;\n  --bs-btn-hover-bg: #d3d4d5;\n  --bs-btn-hover-border-color: #c6c7c8;\n  --bs-btn-focus-shadow-rgb: 211, 212, 213;\n  --bs-btn-active-color: #000;\n  --bs-btn-active-bg: #c6c7c8;\n  --bs-btn-active-border-color: #babbbc;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #000;\n  --bs-btn-disabled-bg: #f8f9fa;\n  --bs-btn-disabled-border-color: #f8f9fa;\n}\n\n.btn-dark {\n  --bs-btn-color: #fff;\n  --bs-btn-bg: #212529;\n  --bs-btn-border-color: #212529;\n  --bs-btn-hover-color: #fff;\n  --bs-btn-hover-bg: #424649;\n  --bs-btn-hover-border-color: #373b3e;\n  --bs-btn-focus-shadow-rgb: 66, 70, 73;\n  --bs-btn-active-color: #fff;\n  --bs-btn-active-bg: #4d5154;\n  --bs-btn-active-border-color: #373b3e;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #fff;\n  --bs-btn-disabled-bg: #212529;\n  --bs-btn-disabled-border-color: #212529;\n}\n\n.btn-outline-primary {\n  --bs-btn-color: #0d6efd;\n  --bs-btn-border-color: #0d6efd;\n  --bs-btn-hover-color: #fff;\n  --bs-btn-hover-bg: #0d6efd;\n  --bs-btn-hover-border-color: #0d6efd;\n  --bs-btn-focus-shadow-rgb: 13, 110, 253;\n  --bs-btn-active-color: #fff;\n  --bs-btn-active-bg: #0d6efd;\n  --bs-btn-active-border-color: #0d6efd;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #0d6efd;\n  --bs-btn-disabled-bg: transparent;\n  --bs-btn-disabled-border-color: #0d6efd;\n  --bs-gradient: none;\n}\n\n.btn-outline-secondary {\n  --bs-btn-color: #6c757d;\n  --bs-btn-border-color: #6c757d;\n  --bs-btn-hover-color: #fff;\n  --bs-btn-hover-bg: #6c757d;\n  --bs-btn-hover-border-color: #6c757d;\n  --bs-btn-focus-shadow-rgb: 108, 117, 125;\n  --bs-btn-active-color: #fff;\n  --bs-btn-active-bg: #6c757d;\n  --bs-btn-active-border-color: #6c757d;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #6c757d;\n  --bs-btn-disabled-bg: transparent;\n  --bs-btn-disabled-border-color: #6c757d;\n  --bs-gradient: none;\n}\n\n.btn-outline-success {\n  --bs-btn-color: #198754;\n  --bs-btn-border-color: #198754;\n  --bs-btn-hover-color: #fff;\n  --bs-btn-hover-bg: #198754;\n  --bs-btn-hover-border-color: #198754;\n  --bs-btn-focus-shadow-rgb: 25, 135, 84;\n  --bs-btn-active-color: #fff;\n  --bs-btn-active-bg: #198754;\n  --bs-btn-active-border-color: #198754;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #198754;\n  --bs-btn-disabled-bg: transparent;\n  --bs-btn-disabled-border-color: #198754;\n  --bs-gradient: none;\n}\n\n.btn-outline-info {\n  --bs-btn-color: #0dcaf0;\n  --bs-btn-border-color: #0dcaf0;\n  --bs-btn-hover-color: #000;\n  --bs-btn-hover-bg: #0dcaf0;\n  --bs-btn-hover-border-color: #0dcaf0;\n  --bs-btn-focus-shadow-rgb: 13, 202, 240;\n  --bs-btn-active-color: #000;\n  --bs-btn-active-bg: #0dcaf0;\n  --bs-btn-active-border-color: #0dcaf0;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #0dcaf0;\n  --bs-btn-disabled-bg: transparent;\n  --bs-btn-disabled-border-color: #0dcaf0;\n  --bs-gradient: none;\n}\n\n.btn-outline-warning {\n  --bs-btn-color: #ffc107;\n  --bs-btn-border-color: #ffc107;\n  --bs-btn-hover-color: #000;\n  --bs-btn-hover-bg: #ffc107;\n  --bs-btn-hover-border-color: #ffc107;\n  --bs-btn-focus-shadow-rgb: 255, 193, 7;\n  --bs-btn-active-color: #000;\n  --bs-btn-active-bg: #ffc107;\n  --bs-btn-active-border-color: #ffc107;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #ffc107;\n  --bs-btn-disabled-bg: transparent;\n  --bs-btn-disabled-border-color: #ffc107;\n  --bs-gradient: none;\n}\n\n.btn-outline-danger {\n  --bs-btn-color: #dc3545;\n  --bs-btn-border-color: #dc3545;\n  --bs-btn-hover-color: #fff;\n  --bs-btn-hover-bg: #dc3545;\n  --bs-btn-hover-border-color: #dc3545;\n  --bs-btn-focus-shadow-rgb: 220, 53, 69;\n  --bs-btn-active-color: #fff;\n  --bs-btn-active-bg: #dc3545;\n  --bs-btn-active-border-color: #dc3545;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #dc3545;\n  --bs-btn-disabled-bg: transparent;\n  --bs-btn-disabled-border-color: #dc3545;\n  --bs-gradient: none;\n}\n\n.btn-outline-light {\n  --bs-btn-color: #f8f9fa;\n  --bs-btn-border-color: #f8f9fa;\n  --bs-btn-hover-color: #000;\n  --bs-btn-hover-bg: #f8f9fa;\n  --bs-btn-hover-border-color: #f8f9fa;\n  --bs-btn-focus-shadow-rgb: 248, 249, 250;\n  --bs-btn-active-color: #000;\n  --bs-btn-active-bg: #f8f9fa;\n  --bs-btn-active-border-color: #f8f9fa;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #f8f9fa;\n  --bs-btn-disabled-bg: transparent;\n  --bs-btn-disabled-border-color: #f8f9fa;\n  --bs-gradient: none;\n}\n\n.btn-outline-dark {\n  --bs-btn-color: #212529;\n  --bs-btn-border-color: #212529;\n  --bs-btn-hover-color: #fff;\n  --bs-btn-hover-bg: #212529;\n  --bs-btn-hover-border-color: #212529;\n  --bs-btn-focus-shadow-rgb: 33, 37, 41;\n  --bs-btn-active-color: #fff;\n  --bs-btn-active-bg: #212529;\n  --bs-btn-active-border-color: #212529;\n  --bs-btn-active-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  --bs-btn-disabled-color: #212529;\n  --bs-btn-disabled-bg: transparent;\n  --bs-btn-disabled-border-color: #212529;\n  --bs-gradient: none;\n}\n\n.btn-link {\n  --bs-btn-font-weight: 400;\n  --bs-btn-color: var(--bs-link-color);\n  --bs-btn-bg: transparent;\n  --bs-btn-border-color: transparent;\n  --bs-btn-hover-color: var(--bs-link-hover-color);\n  --bs-btn-hover-border-color: transparent;\n  --bs-btn-active-color: var(--bs-link-hover-color);\n  --bs-btn-active-border-color: transparent;\n  --bs-btn-disabled-color: #6c757d;\n  --bs-btn-disabled-border-color: transparent;\n  --bs-btn-box-shadow: 0 0 0 #000;\n  --bs-btn-focus-shadow-rgb: 49, 132, 253;\n  text-decoration: underline;\n}\n.btn-link:focus-visible {\n  color: var(--bs-btn-color);\n}\n.btn-link:hover {\n  color: var(--bs-btn-hover-color);\n}\n\n.btn-lg, .btn-group-lg > .btn {\n  --bs-btn-padding-y: 0.5rem;\n  --bs-btn-padding-x: 1rem;\n  --bs-btn-font-size: 1.25rem;\n  --bs-btn-border-radius: var(--bs-border-radius-lg);\n}\n\n.btn-sm, .btn-group-sm > .btn {\n  --bs-btn-padding-y: 0.25rem;\n  --bs-btn-padding-x: 0.5rem;\n  --bs-btn-font-size: 0.875rem;\n  --bs-btn-border-radius: var(--bs-border-radius-sm);\n}\n\n.fade {\n  transition: opacity 0.15s linear;\n}\n@media (prefers-reduced-motion: reduce) {\n  .fade {\n    transition: none;\n  }\n}\n.fade:not(.show) {\n  opacity: 0;\n}\n\n.collapse:not(.show) {\n  display: none;\n}\n\n.collapsing {\n  height: 0;\n  overflow: hidden;\n  transition: height 0.35s ease;\n}\n@media (prefers-reduced-motion: reduce) {\n  .collapsing {\n    transition: none;\n  }\n}\n.collapsing.collapse-horizontal {\n  width: 0;\n  height: auto;\n  transition: width 0.35s ease;\n}\n@media (prefers-reduced-motion: reduce) {\n  .collapsing.collapse-horizontal {\n    transition: none;\n  }\n}\n\n.dropup,\n.dropend,\n.dropdown,\n.dropstart,\n.dropup-center,\n.dropdown-center {\n  position: relative;\n}\n\n.dropdown-toggle {\n  white-space: nowrap;\n}\n.dropdown-toggle::after {\n  display: inline-block;\n  margin-left: 0.255em;\n  vertical-align: 0.255em;\n  content: \"\";\n  border-top: 0.3em solid;\n  border-right: 0.3em solid transparent;\n  border-bottom: 0;\n  border-left: 0.3em solid transparent;\n}\n.dropdown-toggle:empty::after {\n  margin-left: 0;\n}\n\n.dropdown-menu {\n  --bs-dropdown-zindex: 1000;\n  --bs-dropdown-min-width: 10rem;\n  --bs-dropdown-padding-x: 0;\n  --bs-dropdown-padding-y: 0.5rem;\n  --bs-dropdown-spacer: 0.125rem;\n  --bs-dropdown-font-size: 1rem;\n  --bs-dropdown-color: var(--bs-body-color);\n  --bs-dropdown-bg: var(--bs-body-bg);\n  --bs-dropdown-border-color: var(--bs-border-color-translucent);\n  --bs-dropdown-border-radius: var(--bs-border-radius);\n  --bs-dropdown-border-width: var(--bs-border-width);\n  --bs-dropdown-inner-border-radius: calc(var(--bs-border-radius) - var(--bs-border-width));\n  --bs-dropdown-divider-bg: var(--bs-border-color-translucent);\n  --bs-dropdown-divider-margin-y: 0.5rem;\n  --bs-dropdown-box-shadow: var(--bs-box-shadow);\n  --bs-dropdown-link-color: var(--bs-body-color);\n  --bs-dropdown-link-hover-color: var(--bs-body-color);\n  --bs-dropdown-link-hover-bg: var(--bs-tertiary-bg);\n  --bs-dropdown-link-active-color: #fff;\n  --bs-dropdown-link-active-bg: #0d6efd;\n  --bs-dropdown-link-disabled-color: var(--bs-tertiary-color);\n  --bs-dropdown-item-padding-x: 1rem;\n  --bs-dropdown-item-padding-y: 0.25rem;\n  --bs-dropdown-header-color: #6c757d;\n  --bs-dropdown-header-padding-x: 1rem;\n  --bs-dropdown-header-padding-y: 0.5rem;\n  position: absolute;\n  z-index: var(--bs-dropdown-zindex);\n  display: none;\n  min-width: var(--bs-dropdown-min-width);\n  padding: var(--bs-dropdown-padding-y) var(--bs-dropdown-padding-x);\n  margin: 0;\n  font-size: var(--bs-dropdown-font-size);\n  color: var(--bs-dropdown-color);\n  text-align: left;\n  list-style: none;\n  background-color: var(--bs-dropdown-bg);\n  background-clip: padding-box;\n  border: var(--bs-dropdown-border-width) solid var(--bs-dropdown-border-color);\n  border-radius: var(--bs-dropdown-border-radius);\n}\n.dropdown-menu[data-bs-popper] {\n  top: 100%;\n  left: 0;\n  margin-top: var(--bs-dropdown-spacer);\n}\n\n.dropdown-menu-start {\n  --bs-position: start;\n}\n.dropdown-menu-start[data-bs-popper] {\n  right: auto;\n  left: 0;\n}\n\n.dropdown-menu-end {\n  --bs-position: end;\n}\n.dropdown-menu-end[data-bs-popper] {\n  right: 0;\n  left: auto;\n}\n\n@media (min-width: 576px) {\n  .dropdown-menu-sm-start {\n    --bs-position: start;\n  }\n  .dropdown-menu-sm-start[data-bs-popper] {\n    right: auto;\n    left: 0;\n  }\n  .dropdown-menu-sm-end {\n    --bs-position: end;\n  }\n  .dropdown-menu-sm-end[data-bs-popper] {\n    right: 0;\n    left: auto;\n  }\n}\n@media (min-width: 768px) {\n  .dropdown-menu-md-start {\n    --bs-position: start;\n  }\n  .dropdown-menu-md-start[data-bs-popper] {\n    right: auto;\n    left: 0;\n  }\n  .dropdown-menu-md-end {\n    --bs-position: end;\n  }\n  .dropdown-menu-md-end[data-bs-popper] {\n    right: 0;\n    left: auto;\n  }\n}\n@media (min-width: 992px) {\n  .dropdown-menu-lg-start {\n    --bs-position: start;\n  }\n  .dropdown-menu-lg-start[data-bs-popper] {\n    right: auto;\n    left: 0;\n  }\n  .dropdown-menu-lg-end {\n    --bs-position: end;\n  }\n  .dropdown-menu-lg-end[data-bs-popper] {\n    right: 0;\n    left: auto;\n  }\n}\n@media (min-width: 1200px) {\n  .dropdown-menu-xl-start {\n    --bs-position: start;\n  }\n  .dropdown-menu-xl-start[data-bs-popper] {\n    right: auto;\n    left: 0;\n  }\n  .dropdown-menu-xl-end {\n    --bs-position: end;\n  }\n  .dropdown-menu-xl-end[data-bs-popper] {\n    right: 0;\n    left: auto;\n  }\n}\n@media (min-width: 1400px) {\n  .dropdown-menu-xxl-start {\n    --bs-position: start;\n  }\n  .dropdown-menu-xxl-start[data-bs-popper] {\n    right: auto;\n    left: 0;\n  }\n  .dropdown-menu-xxl-end {\n    --bs-position: end;\n  }\n  .dropdown-menu-xxl-end[data-bs-popper] {\n    right: 0;\n    left: auto;\n  }\n}\n.dropup .dropdown-menu[data-bs-popper] {\n  top: auto;\n  bottom: 100%;\n  margin-top: 0;\n  margin-bottom: var(--bs-dropdown-spacer);\n}\n.dropup .dropdown-toggle::after {\n  display: inline-block;\n  margin-left: 0.255em;\n  vertical-align: 0.255em;\n  content: \"\";\n  border-top: 0;\n  border-right: 0.3em solid transparent;\n  border-bottom: 0.3em solid;\n  border-left: 0.3em solid transparent;\n}\n.dropup .dropdown-toggle:empty::after {\n  margin-left: 0;\n}\n\n.dropend .dropdown-menu[data-bs-popper] {\n  top: 0;\n  right: auto;\n  left: 100%;\n  margin-top: 0;\n  margin-left: var(--bs-dropdown-spacer);\n}\n.dropend .dropdown-toggle::after {\n  display: inline-block;\n  margin-left: 0.255em;\n  vertical-align: 0.255em;\n  content: \"\";\n  border-top: 0.3em solid transparent;\n  border-right: 0;\n  border-bottom: 0.3em solid transparent;\n  border-left: 0.3em solid;\n}\n.dropend .dropdown-toggle:empty::after {\n  margin-left: 0;\n}\n.dropend .dropdown-toggle::after {\n  vertical-align: 0;\n}\n\n.dropstart .dropdown-menu[data-bs-popper] {\n  top: 0;\n  right: 100%;\n  left: auto;\n  margin-top: 0;\n  margin-right: var(--bs-dropdown-spacer);\n}\n.dropstart .dropdown-toggle::after {\n  display: inline-block;\n  margin-left: 0.255em;\n  vertical-align: 0.255em;\n  content: \"\";\n}\n.dropstart .dropdown-toggle::after {\n  display: none;\n}\n.dropstart .dropdown-toggle::before {\n  display: inline-block;\n  margin-right: 0.255em;\n  vertical-align: 0.255em;\n  content: \"\";\n  border-top: 0.3em solid transparent;\n  border-right: 0.3em solid;\n  border-bottom: 0.3em solid transparent;\n}\n.dropstart .dropdown-toggle:empty::after {\n  margin-left: 0;\n}\n.dropstart .dropdown-toggle::before {\n  vertical-align: 0;\n}\n\n.dropdown-divider {\n  height: 0;\n  margin: var(--bs-dropdown-divider-margin-y) 0;\n  overflow: hidden;\n  border-top: 1px solid var(--bs-dropdown-divider-bg);\n  opacity: 1;\n}\n\n.dropdown-item {\n  display: block;\n  width: 100%;\n  padding: var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);\n  clear: both;\n  font-weight: 400;\n  color: var(--bs-dropdown-link-color);\n  text-align: inherit;\n  text-decoration: none;\n  white-space: nowrap;\n  background-color: transparent;\n  border: 0;\n  border-radius: var(--bs-dropdown-item-border-radius, 0);\n}\n.dropdown-item:hover, .dropdown-item:focus {\n  color: var(--bs-dropdown-link-hover-color);\n  background-color: var(--bs-dropdown-link-hover-bg);\n}\n.dropdown-item.active, .dropdown-item:active {\n  color: var(--bs-dropdown-link-active-color);\n  text-decoration: none;\n  background-color: var(--bs-dropdown-link-active-bg);\n}\n.dropdown-item.disabled, .dropdown-item:disabled {\n  color: var(--bs-dropdown-link-disabled-color);\n  pointer-events: none;\n  background-color: transparent;\n}\n\n.dropdown-menu.show {\n  display: block;\n}\n\n.dropdown-header {\n  display: block;\n  padding: var(--bs-dropdown-header-padding-y) var(--bs-dropdown-header-padding-x);\n  margin-bottom: 0;\n  font-size: 0.875rem;\n  color: var(--bs-dropdown-header-color);\n  white-space: nowrap;\n}\n\n.dropdown-item-text {\n  display: block;\n  padding: var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);\n  color: var(--bs-dropdown-link-color);\n}\n\n.dropdown-menu-dark {\n  --bs-dropdown-color: #dee2e6;\n  --bs-dropdown-bg: #343a40;\n  --bs-dropdown-border-color: var(--bs-border-color-translucent);\n  --bs-dropdown-box-shadow: ;\n  --bs-dropdown-link-color: #dee2e6;\n  --bs-dropdown-link-hover-color: #fff;\n  --bs-dropdown-divider-bg: var(--bs-border-color-translucent);\n  --bs-dropdown-link-hover-bg: rgba(255, 255, 255, 0.15);\n  --bs-dropdown-link-active-color: #fff;\n  --bs-dropdown-link-active-bg: #0d6efd;\n  --bs-dropdown-link-disabled-color: #adb5bd;\n  --bs-dropdown-header-color: #adb5bd;\n}\n\n.btn-group,\n.btn-group-vertical {\n  position: relative;\n  display: inline-flex;\n  vertical-align: middle;\n}\n.btn-group > .btn,\n.btn-group-vertical > .btn {\n  position: relative;\n  flex: 1 1 auto;\n}\n.btn-group > .btn-check:checked + .btn,\n.btn-group > .btn-check:focus + .btn,\n.btn-group > .btn:hover,\n.btn-group > .btn:focus,\n.btn-group > .btn:active,\n.btn-group > .btn.active,\n.btn-group-vertical > .btn-check:checked + .btn,\n.btn-group-vertical > .btn-check:focus + .btn,\n.btn-group-vertical > .btn:hover,\n.btn-group-vertical > .btn:focus,\n.btn-group-vertical > .btn:active,\n.btn-group-vertical > .btn.active {\n  z-index: 1;\n}\n\n.btn-toolbar {\n  display: flex;\n  flex-wrap: wrap;\n  justify-content: flex-start;\n}\n.btn-toolbar .input-group {\n  width: auto;\n}\n\n.btn-group {\n  border-radius: var(--bs-border-radius);\n}\n.btn-group > :not(.btn-check:first-child) + .btn,\n.btn-group > .btn-group:not(:first-child) {\n  margin-left: calc(var(--bs-border-width) * -1);\n}\n.btn-group > .btn:not(:last-child):not(.dropdown-toggle),\n.btn-group > .btn.dropdown-toggle-split:first-child,\n.btn-group > .btn-group:not(:last-child) > .btn {\n  border-top-right-radius: 0;\n  border-bottom-right-radius: 0;\n}\n.btn-group > .btn:nth-child(n+3),\n.btn-group > :not(.btn-check) + .btn,\n.btn-group > .btn-group:not(:first-child) > .btn {\n  border-top-left-radius: 0;\n  border-bottom-left-radius: 0;\n}\n\n.dropdown-toggle-split {\n  padding-right: 0.5625rem;\n  padding-left: 0.5625rem;\n}\n.dropdown-toggle-split::after, .dropup .dropdown-toggle-split::after, .dropend .dropdown-toggle-split::after {\n  margin-left: 0;\n}\n.dropstart .dropdown-toggle-split::before {\n  margin-right: 0;\n}\n\n.btn-sm + .dropdown-toggle-split, .btn-group-sm > .btn + .dropdown-toggle-split {\n  padding-right: 0.375rem;\n  padding-left: 0.375rem;\n}\n\n.btn-lg + .dropdown-toggle-split, .btn-group-lg > .btn + .dropdown-toggle-split {\n  padding-right: 0.75rem;\n  padding-left: 0.75rem;\n}\n\n.btn-group-vertical {\n  flex-direction: column;\n  align-items: flex-start;\n  justify-content: center;\n}\n.btn-group-vertical > .btn,\n.btn-group-vertical > .btn-group {\n  width: 100%;\n}\n.btn-group-vertical > .btn:not(:first-child),\n.btn-group-vertical > .btn-group:not(:first-child) {\n  margin-top: calc(var(--bs-border-width) * -1);\n}\n.btn-group-vertical > .btn:not(:last-child):not(.dropdown-toggle),\n.btn-group-vertical > .btn-group:not(:last-child) > .btn {\n  border-bottom-right-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.btn-group-vertical > .btn ~ .btn,\n.btn-group-vertical > .btn-group:not(:first-child) > .btn {\n  border-top-left-radius: 0;\n  border-top-right-radius: 0;\n}\n\n.nav {\n  --bs-nav-link-padding-x: 1rem;\n  --bs-nav-link-padding-y: 0.5rem;\n  --bs-nav-link-font-weight: ;\n  --bs-nav-link-color: var(--bs-link-color);\n  --bs-nav-link-hover-color: var(--bs-link-hover-color);\n  --bs-nav-link-disabled-color: var(--bs-secondary-color);\n  display: flex;\n  flex-wrap: wrap;\n  padding-left: 0;\n  margin-bottom: 0;\n  list-style: none;\n}\n\n.nav-link {\n  display: block;\n  padding: var(--bs-nav-link-padding-y) var(--bs-nav-link-padding-x);\n  font-size: var(--bs-nav-link-font-size);\n  font-weight: var(--bs-nav-link-font-weight);\n  color: var(--bs-nav-link-color);\n  text-decoration: none;\n  background: none;\n  border: 0;\n  transition: color 0.15s ease-in-out, background-color 0.15s ease-in-out, border-color 0.15s ease-in-out;\n}\n@media (prefers-reduced-motion: reduce) {\n  .nav-link {\n    transition: none;\n  }\n}\n.nav-link:hover, .nav-link:focus {\n  color: var(--bs-nav-link-hover-color);\n}\n.nav-link:focus-visible {\n  outline: 0;\n  box-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);\n}\n.nav-link.disabled, .nav-link:disabled {\n  color: var(--bs-nav-link-disabled-color);\n  pointer-events: none;\n  cursor: default;\n}\n\n.nav-tabs {\n  --bs-nav-tabs-border-width: var(--bs-border-width);\n  --bs-nav-tabs-border-color: var(--bs-border-color);\n  --bs-nav-tabs-border-radius: var(--bs-border-radius);\n  --bs-nav-tabs-link-hover-border-color: var(--bs-secondary-bg) var(--bs-secondary-bg) var(--bs-border-color);\n  --bs-nav-tabs-link-active-color: var(--bs-emphasis-color);\n  --bs-nav-tabs-link-active-bg: var(--bs-body-bg);\n  --bs-nav-tabs-link-active-border-color: var(--bs-border-color) var(--bs-border-color) var(--bs-body-bg);\n  border-bottom: var(--bs-nav-tabs-border-width) solid var(--bs-nav-tabs-border-color);\n}\n.nav-tabs .nav-link {\n  margin-bottom: calc(-1 * var(--bs-nav-tabs-border-width));\n  border: var(--bs-nav-tabs-border-width) solid transparent;\n  border-top-left-radius: var(--bs-nav-tabs-border-radius);\n  border-top-right-radius: var(--bs-nav-tabs-border-radius);\n}\n.nav-tabs .nav-link:hover, .nav-tabs .nav-link:focus {\n  isolation: isolate;\n  border-color: var(--bs-nav-tabs-link-hover-border-color);\n}\n.nav-tabs .nav-link.active,\n.nav-tabs .nav-item.show .nav-link {\n  color: var(--bs-nav-tabs-link-active-color);\n  background-color: var(--bs-nav-tabs-link-active-bg);\n  border-color: var(--bs-nav-tabs-link-active-border-color);\n}\n.nav-tabs .dropdown-menu {\n  margin-top: calc(-1 * var(--bs-nav-tabs-border-width));\n  border-top-left-radius: 0;\n  border-top-right-radius: 0;\n}\n\n.nav-pills {\n  --bs-nav-pills-border-radius: var(--bs-border-radius);\n  --bs-nav-pills-link-active-color: #fff;\n  --bs-nav-pills-link-active-bg: #0d6efd;\n}\n.nav-pills .nav-link {\n  border-radius: var(--bs-nav-pills-border-radius);\n}\n.nav-pills .nav-link.active,\n.nav-pills .show > .nav-link {\n  color: var(--bs-nav-pills-link-active-color);\n  background-color: var(--bs-nav-pills-link-active-bg);\n}\n\n.nav-underline {\n  --bs-nav-underline-gap: 1rem;\n  --bs-nav-underline-border-width: 0.125rem;\n  --bs-nav-underline-link-active-color: var(--bs-emphasis-color);\n  gap: var(--bs-nav-underline-gap);\n}\n.nav-underline .nav-link {\n  padding-right: 0;\n  padding-left: 0;\n  border-bottom: var(--bs-nav-underline-border-width) solid transparent;\n}\n.nav-underline .nav-link:hover, .nav-underline .nav-link:focus {\n  border-bottom-color: currentcolor;\n}\n.nav-underline .nav-link.active,\n.nav-underline .show > .nav-link {\n  font-weight: 700;\n  color: var(--bs-nav-underline-link-active-color);\n  border-bottom-color: currentcolor;\n}\n\n.nav-fill > .nav-link,\n.nav-fill .nav-item {\n  flex: 1 1 auto;\n  text-align: center;\n}\n\n.nav-justified > .nav-link,\n.nav-justified .nav-item {\n  flex-basis: 0;\n  flex-grow: 1;\n  text-align: center;\n}\n\n.nav-fill .nav-item .nav-link,\n.nav-justified .nav-item .nav-link {\n  width: 100%;\n}\n\n.tab-content > .tab-pane {\n  display: none;\n}\n.tab-content > .active {\n  display: block;\n}\n\n.navbar {\n  --bs-navbar-padding-x: 0;\n  --bs-navbar-padding-y: 0.5rem;\n  --bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.65);\n  --bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.8);\n  --bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.3);\n  --bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);\n  --bs-navbar-brand-padding-y: 0.3125rem;\n  --bs-navbar-brand-margin-end: 1rem;\n  --bs-navbar-brand-font-size: 1.25rem;\n  --bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);\n  --bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);\n  --bs-navbar-nav-link-padding-x: 0.5rem;\n  --bs-navbar-toggler-padding-y: 0.25rem;\n  --bs-navbar-toggler-padding-x: 0.75rem;\n  --bs-navbar-toggler-font-size: 1.25rem;\n  --bs-navbar-toggler-icon-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%2833, 37, 41, 0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e\");\n  --bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.15);\n  --bs-navbar-toggler-border-radius: var(--bs-border-radius);\n  --bs-navbar-toggler-focus-width: 0.25rem;\n  --bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;\n  position: relative;\n  display: flex;\n  flex-wrap: wrap;\n  align-items: center;\n  justify-content: space-between;\n  padding: var(--bs-navbar-padding-y) var(--bs-navbar-padding-x);\n}\n.navbar > .container,\n.navbar > .container-fluid,\n.navbar > .container-sm,\n.navbar > .container-md,\n.navbar > .container-lg,\n.navbar > .container-xl,\n.navbar > .container-xxl {\n  display: flex;\n  flex-wrap: inherit;\n  align-items: center;\n  justify-content: space-between;\n}\n.navbar-brand {\n  padding-top: var(--bs-navbar-brand-padding-y);\n  padding-bottom: var(--bs-navbar-brand-padding-y);\n  margin-right: var(--bs-navbar-brand-margin-end);\n  font-size: var(--bs-navbar-brand-font-size);\n  color: var(--bs-navbar-brand-color);\n  text-decoration: none;\n  white-space: nowrap;\n}\n.navbar-brand:hover, .navbar-brand:focus {\n  color: var(--bs-navbar-brand-hover-color);\n}\n\n.navbar-nav {\n  --bs-nav-link-padding-x: 0;\n  --bs-nav-link-padding-y: 0.5rem;\n  --bs-nav-link-font-weight: ;\n  --bs-nav-link-color: var(--bs-navbar-color);\n  --bs-nav-link-hover-color: var(--bs-navbar-hover-color);\n  --bs-nav-link-disabled-color: var(--bs-navbar-disabled-color);\n  display: flex;\n  flex-direction: column;\n  padding-left: 0;\n  margin-bottom: 0;\n  list-style: none;\n}\n.navbar-nav .nav-link.active, .navbar-nav .nav-link.show {\n  color: var(--bs-navbar-active-color);\n}\n.navbar-nav .dropdown-menu {\n  position: static;\n}\n\n.navbar-text {\n  padding-top: 0.5rem;\n  padding-bottom: 0.5rem;\n  color: var(--bs-navbar-color);\n}\n.navbar-text a,\n.navbar-text a:hover,\n.navbar-text a:focus {\n  color: var(--bs-navbar-active-color);\n}\n\n.navbar-collapse {\n  flex-basis: 100%;\n  flex-grow: 1;\n  align-items: center;\n}\n\n.navbar-toggler {\n  padding: var(--bs-navbar-toggler-padding-y) var(--bs-navbar-toggler-padding-x);\n  font-size: var(--bs-navbar-toggler-font-size);\n  line-height: 1;\n  color: var(--bs-navbar-color);\n  background-color: transparent;\n  border: var(--bs-border-width) solid var(--bs-navbar-toggler-border-color);\n  border-radius: var(--bs-navbar-toggler-border-radius);\n  transition: var(--bs-navbar-toggler-transition);\n}\n@media (prefers-reduced-motion: reduce) {\n  .navbar-toggler {\n    transition: none;\n  }\n}\n.navbar-toggler:hover {\n  text-decoration: none;\n}\n.navbar-toggler:focus {\n  text-decoration: none;\n  outline: 0;\n  box-shadow: 0 0 0 var(--bs-navbar-toggler-focus-width);\n}\n\n.navbar-toggler-icon {\n  display: inline-block;\n  width: 1.5em;\n  height: 1.5em;\n  vertical-align: middle;\n  background-image: var(--bs-navbar-toggler-icon-bg);\n  background-repeat: no-repeat;\n  background-position: center;\n  background-size: 100%;\n}\n\n.navbar-nav-scroll {\n  max-height: var(--bs-scroll-height, 75vh);\n  overflow-y: auto;\n}\n\n@media (min-width: 576px) {\n  .navbar-expand-sm {\n    flex-wrap: nowrap;\n    justify-content: flex-start;\n  }\n  .navbar-expand-sm .navbar-nav {\n    flex-direction: row;\n  }\n  .navbar-expand-sm .navbar-nav .dropdown-menu {\n    position: absolute;\n  }\n  .navbar-expand-sm .navbar-nav .nav-link {\n    padding-right: var(--bs-navbar-nav-link-padding-x);\n    padding-left: var(--bs-navbar-nav-link-padding-x);\n  }\n  .navbar-expand-sm .navbar-nav-scroll {\n    overflow: visible;\n  }\n  .navbar-expand-sm .navbar-collapse {\n    display: flex !important;\n    flex-basis: auto;\n  }\n  .navbar-expand-sm .navbar-toggler {\n    display: none;\n  }\n  .navbar-expand-sm .offcanvas {\n    position: static;\n    z-index: auto;\n    flex-grow: 1;\n    width: auto !important;\n    height: auto !important;\n    visibility: visible !important;\n    background-color: transparent !important;\n    border: 0 !important;\n    transform: none !important;\n    transition: none;\n  }\n  .navbar-expand-sm .offcanvas .offcanvas-header {\n    display: none;\n  }\n  .navbar-expand-sm .offcanvas .offcanvas-body {\n    display: flex;\n    flex-grow: 0;\n    padding: 0;\n    overflow-y: visible;\n  }\n}\n@media (min-width: 768px) {\n  .navbar-expand-md {\n    flex-wrap: nowrap;\n    justify-content: flex-start;\n  }\n  .navbar-expand-md .navbar-nav {\n    flex-direction: row;\n  }\n  .navbar-expand-md .navbar-nav .dropdown-menu {\n    position: absolute;\n  }\n  .navbar-expand-md .navbar-nav .nav-link {\n    padding-right: var(--bs-navbar-nav-link-padding-x);\n    padding-left: var(--bs-navbar-nav-link-padding-x);\n  }\n  .navbar-expand-md .navbar-nav-scroll {\n    overflow: visible;\n  }\n  .navbar-expand-md .navbar-collapse {\n    display: flex !important;\n    flex-basis: auto;\n  }\n  .navbar-expand-md .navbar-toggler {\n    display: none;\n  }\n  .navbar-expand-md .offcanvas {\n    position: static;\n    z-index: auto;\n    flex-grow: 1;\n    width: auto !important;\n    height: auto !important;\n    visibility: visible !important;\n    background-color: transparent !important;\n    border: 0 !important;\n    transform: none !important;\n    transition: none;\n  }\n  .navbar-expand-md .offcanvas .offcanvas-header {\n    display: none;\n  }\n  .navbar-expand-md .offcanvas .offcanvas-body {\n    display: flex;\n    flex-grow: 0;\n    padding: 0;\n    overflow-y: visible;\n  }\n}\n@media (min-width: 992px) {\n  .navbar-expand-lg {\n    flex-wrap: nowrap;\n    justify-content: flex-start;\n  }\n  .navbar-expand-lg .navbar-nav {\n    flex-direction: row;\n  }\n  .navbar-expand-lg .navbar-nav .dropdown-menu {\n    position: absolute;\n  }\n  .navbar-expand-lg .navbar-nav .nav-link {\n    padding-right: var(--bs-navbar-nav-link-padding-x);\n    padding-left: var(--bs-navbar-nav-link-padding-x);\n  }\n  .navbar-expand-lg .navbar-nav-scroll {\n    overflow: visible;\n  }\n  .navbar-expand-lg .navbar-collapse {\n    display: flex !important;\n    flex-basis: auto;\n  }\n  .navbar-expand-lg .navbar-toggler {\n    display: none;\n  }\n  .navbar-expand-lg .offcanvas {\n    position: static;\n    z-index: auto;\n    flex-grow: 1;\n    width: auto !important;\n    height: auto !important;\n    visibility: visible !important;\n    background-color: transparent !important;\n    border: 0 !important;\n    transform: none !important;\n    transition: none;\n  }\n  .navbar-expand-lg .offcanvas .offcanvas-header {\n    display: none;\n  }\n  .navbar-expand-lg .offcanvas .offcanvas-body {\n    display: flex;\n    flex-grow: 0;\n    padding: 0;\n    overflow-y: visible;\n  }\n}\n@media (min-width: 1200px) {\n  .navbar-expand-xl {\n    flex-wrap: nowrap;\n    justify-content: flex-start;\n  }\n  .navbar-expand-xl .navbar-nav {\n    flex-direction: row;\n  }\n  .navbar-expand-xl .navbar-nav .dropdown-menu {\n    position: absolute;\n  }\n  .navbar-expand-xl .navbar-nav .nav-link {\n    padding-right: var(--bs-navbar-nav-link-padding-x);\n    padding-left: var(--bs-navbar-nav-link-padding-x);\n  }\n  .navbar-expand-xl .navbar-nav-scroll {\n    overflow: visible;\n  }\n  .navbar-expand-xl .navbar-collapse {\n    display: flex !important;\n    flex-basis: auto;\n  }\n  .navbar-expand-xl .navbar-toggler {\n    display: none;\n  }\n  .navbar-expand-xl .offcanvas {\n    position: static;\n    z-index: auto;\n    flex-grow: 1;\n    width: auto !important;\n    height: auto !important;\n    visibility: visible !important;\n    background-color: transparent !important;\n    border: 0 !important;\n    transform: none !important;\n    transition: none;\n  }\n  .navbar-expand-xl .offcanvas .offcanvas-header {\n    display: none;\n  }\n  .navbar-expand-xl .offcanvas .offcanvas-body {\n    display: flex;\n    flex-grow: 0;\n    padding: 0;\n    overflow-y: visible;\n  }\n}\n@media (min-width: 1400px) {\n  .navbar-expand-xxl {\n    flex-wrap: nowrap;\n    justify-content: flex-start;\n  }\n  .navbar-expand-xxl .navbar-nav {\n    flex-direction: row;\n  }\n  .navbar-expand-xxl .navbar-nav .dropdown-menu {\n    position: absolute;\n  }\n  .navbar-expand-xxl .navbar-nav .nav-link {\n    padding-right: var(--bs-navbar-nav-link-padding-x);\n    padding-left: var(--bs-navbar-nav-link-padding-x);\n  }\n  .navbar-expand-xxl .navbar-nav-scroll {\n    overflow: visible;\n  }\n  .navbar-expand-xxl .navbar-collapse {\n    display: flex !important;\n    flex-basis: auto;\n  }\n  .navbar-expand-xxl .navbar-toggler {\n    display: none;\n  }\n  .navbar-expand-xxl .offcanvas {\n    position: static;\n    z-index: auto;\n    flex-grow: 1;\n    width: auto !important;\n    height: auto !important;\n    visibility: visible !important;\n    background-color: transparent !important;\n    border: 0 !important;\n    transform: none !important;\n    transition: none;\n  }\n  .navbar-expand-xxl .offcanvas .offcanvas-header {\n    display: none;\n  }\n  .navbar-expand-xxl .offcanvas .offcanvas-body {\n    display: flex;\n    flex-grow: 0;\n    padding: 0;\n    overflow-y: visible;\n  }\n}\n.navbar-expand {\n  flex-wrap: nowrap;\n  justify-content: flex-start;\n}\n.navbar-expand .navbar-nav {\n  flex-direction: row;\n}\n.navbar-expand .navbar-nav .dropdown-menu {\n  position: absolute;\n}\n.navbar-expand .navbar-nav .nav-link {\n  padding-right: var(--bs-navbar-nav-link-padding-x);\n  padding-left: var(--bs-navbar-nav-link-padding-x);\n}\n.navbar-expand .navbar-nav-scroll {\n  overflow: visible;\n}\n.navbar-expand .navbar-collapse {\n  display: flex !important;\n  flex-basis: auto;\n}\n.navbar-expand .navbar-toggler {\n  display: none;\n}\n.navbar-expand .offcanvas {\n  position: static;\n  z-index: auto;\n  flex-grow: 1;\n  width: auto !important;\n  height: auto !important;\n  visibility: visible !important;\n  background-color: transparent !important;\n  border: 0 !important;\n  transform: none !important;\n  transition: none;\n}\n.navbar-expand .offcanvas .offcanvas-header {\n  display: none;\n}\n.navbar-expand .offcanvas .offcanvas-body {\n  display: flex;\n  flex-grow: 0;\n  padding: 0;\n  overflow-y: visible;\n}\n\n.navbar-dark,\n.navbar[data-bs-theme=dark] {\n  --bs-navbar-color: rgba(255, 255, 255, 0.55);\n  --bs-navbar-hover-color: rgba(255, 255, 255, 0.75);\n  --bs-navbar-disabled-color: rgba(255, 255, 255, 0.25);\n  --bs-navbar-active-color: #fff;\n  --bs-navbar-brand-color: #fff;\n  --bs-navbar-brand-hover-color: #fff;\n  --bs-navbar-toggler-border-color: rgba(255, 255, 255, 0.1);\n  --bs-navbar-toggler-icon-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255, 255, 255, 0.55%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e\");\n}\n\n[data-bs-theme=dark] .navbar-toggler-icon {\n  --bs-navbar-toggler-icon-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255, 255, 255, 0.55%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e\");\n}\n\n.card {\n  --bs-card-spacer-y: 1rem;\n  --bs-card-spacer-x: 1rem;\n  --bs-card-title-spacer-y: 0.5rem;\n  --bs-card-title-color: ;\n  --bs-card-subtitle-color: ;\n  --bs-card-border-width: var(--bs-border-width);\n  --bs-card-border-color: var(--bs-border-color-translucent);\n  --bs-card-border-radius: var(--bs-border-radius);\n  --bs-card-box-shadow: ;\n  --bs-card-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));\n  --bs-card-cap-padding-y: 0.5rem;\n  --bs-card-cap-padding-x: 1rem;\n  --bs-card-cap-bg: rgba(var(--bs-body-color-rgb), 0.03);\n  --bs-card-cap-color: ;\n  --bs-card-height: ;\n  --bs-card-color: ;\n  --bs-card-bg: var(--bs-body-bg);\n  --bs-card-img-overlay-padding: 1rem;\n  --bs-card-group-margin: 0.75rem;\n  position: relative;\n  display: flex;\n  flex-direction: column;\n  min-width: 0;\n  height: var(--bs-card-height);\n  color: var(--bs-body-color);\n  word-wrap: break-word;\n  background-color: var(--bs-card-bg);\n  background-clip: border-box;\n  border: var(--bs-card-border-width) solid var(--bs-card-border-color);\n  border-radius: var(--bs-card-border-radius);\n}\n.card > hr {\n  margin-right: 0;\n  margin-left: 0;\n}\n.card > .list-group {\n  border-top: inherit;\n  border-bottom: inherit;\n}\n.card > .list-group:first-child {\n  border-top-width: 0;\n  border-top-left-radius: var(--bs-card-inner-border-radius);\n  border-top-right-radius: var(--bs-card-inner-border-radius);\n}\n.card > .list-group:last-child {\n  border-bottom-width: 0;\n  border-bottom-right-radius: var(--bs-card-inner-border-radius);\n  border-bottom-left-radius: var(--bs-card-inner-border-radius);\n}\n.card > .card-header + .list-group,\n.card > .list-group + .card-footer {\n  border-top: 0;\n}\n\n.card-body {\n  flex: 1 1 auto;\n  padding: var(--bs-card-spacer-y) var(--bs-card-spacer-x);\n  color: var(--bs-card-color);\n}\n\n.card-title {\n  margin-bottom: var(--bs-card-title-spacer-y);\n  color: var(--bs-card-title-color);\n}\n\n.card-subtitle {\n  margin-top: calc(-0.5 * var(--bs-card-title-spacer-y));\n  margin-bottom: 0;\n  color: var(--bs-card-subtitle-color);\n}\n\n.card-text:last-child {\n  margin-bottom: 0;\n}\n\n.card-link + .card-link {\n  margin-left: var(--bs-card-spacer-x);\n}\n\n.card-header {\n  padding: var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);\n  margin-bottom: 0;\n  color: var(--bs-card-cap-color);\n  background-color: var(--bs-card-cap-bg);\n  border-bottom: var(--bs-card-border-width) solid var(--bs-card-border-color);\n}\n.card-header:first-child {\n  border-radius: var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius) 0 0;\n}\n\n.card-footer {\n  padding: var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);\n  color: var(--bs-card-cap-color);\n  background-color: var(--bs-card-cap-bg);\n  border-top: var(--bs-card-border-width) solid var(--bs-card-border-color);\n}\n.card-footer:last-child {\n  border-radius: 0 0 var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius);\n}\n\n.card-header-tabs {\n  margin-right: calc(-0.5 * var(--bs-card-cap-padding-x));\n  margin-bottom: calc(-1 * var(--bs-card-cap-padding-y));\n  margin-left: calc(-0.5 * var(--bs-card-cap-padding-x));\n  border-bottom: 0;\n}\n.card-header-tabs .nav-link.active {\n  background-color: var(--bs-card-bg);\n  border-bottom-color: var(--bs-card-bg);\n}\n\n.card-header-pills {\n  margin-right: calc(-0.5 * var(--bs-card-cap-padding-x));\n  margin-left: calc(-0.5 * var(--bs-card-cap-padding-x));\n}\n\n.card-img-overlay {\n  position: absolute;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  padding: var(--bs-card-img-overlay-padding);\n  border-radius: var(--bs-card-inner-border-radius);\n}\n\n.card-img,\n.card-img-top,\n.card-img-bottom {\n  width: 100%;\n}\n\n.card-img,\n.card-img-top {\n  border-top-left-radius: var(--bs-card-inner-border-radius);\n  border-top-right-radius: var(--bs-card-inner-border-radius);\n}\n\n.card-img,\n.card-img-bottom {\n  border-bottom-right-radius: var(--bs-card-inner-border-radius);\n  border-bottom-left-radius: var(--bs-card-inner-border-radius);\n}\n\n.card-group > .card {\n  margin-bottom: var(--bs-card-group-margin);\n}\n@media (min-width: 576px) {\n  .card-group {\n    display: flex;\n    flex-flow: row wrap;\n  }\n  .card-group > .card {\n    flex: 1 0 0%;\n    margin-bottom: 0;\n  }\n  .card-group > .card + .card {\n    margin-left: 0;\n    border-left: 0;\n  }\n  .card-group > .card:not(:last-child) {\n    border-top-right-radius: 0;\n    border-bottom-right-radius: 0;\n  }\n  .card-group > .card:not(:last-child) .card-img-top,\n  .card-group > .card:not(:last-child) .card-header {\n    border-top-right-radius: 0;\n  }\n  .card-group > .card:not(:last-child) .card-img-bottom,\n  .card-group > .card:not(:last-child) .card-footer {\n    border-bottom-right-radius: 0;\n  }\n  .card-group > .card:not(:first-child) {\n    border-top-left-radius: 0;\n    border-bottom-left-radius: 0;\n  }\n  .card-group > .card:not(:first-child) .card-img-top,\n  .card-group > .card:not(:first-child) .card-header {\n    border-top-left-radius: 0;\n  }\n  .card-group > .card:not(:first-child) .card-img-bottom,\n  .card-group > .card:not(:first-child) .card-footer {\n    border-bottom-left-radius: 0;\n  }\n}\n\n.accordion {\n  --bs-accordion-color: var(--bs-body-color);\n  --bs-accordion-bg: var(--bs-body-bg);\n  --bs-accordion-transition: color 0.15s ease-in-out, background-color 0.15s ease-in-out, border-color 0.15s ease-in-out, box-shadow 0.15s ease-in-out, border-radius 0.15s ease;\n  --bs-accordion-border-color: var(--bs-border-color);\n  --bs-accordion-border-width: var(--bs-border-width);\n  --bs-accordion-border-radius: var(--bs-border-radius);\n  --bs-accordion-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));\n  --bs-accordion-btn-padding-x: 1.25rem;\n  --bs-accordion-btn-padding-y: 1rem;\n  --bs-accordion-btn-color: var(--bs-body-color);\n  --bs-accordion-btn-bg: var(--bs-accordion-bg);\n  --bs-accordion-btn-icon: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='none' stroke='%23212529' stroke-linecap='round' stroke-linejoin='round'%3e%3cpath d='M2 5L8 11L14 5'/%3e%3c/svg%3e\");\n  --bs-accordion-btn-icon-width: 1.25rem;\n  --bs-accordion-btn-icon-transform: rotate(-180deg);\n  --bs-accordion-btn-icon-transition: transform 0.2s ease-in-out;\n  --bs-accordion-btn-active-icon: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='none' stroke='%23052c65' stroke-linecap='round' stroke-linejoin='round'%3e%3cpath d='M2 5L8 11L14 5'/%3e%3c/svg%3e\");\n  --bs-accordion-btn-focus-box-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);\n  --bs-accordion-body-padding-x: 1.25rem;\n  --bs-accordion-body-padding-y: 1rem;\n  --bs-accordion-active-color: var(--bs-primary-text-emphasis);\n  --bs-accordion-active-bg: var(--bs-primary-bg-subtle);\n}\n\n.accordion-button {\n  position: relative;\n  display: flex;\n  align-items: center;\n  width: 100%;\n  padding: var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);\n  font-size: 1rem;\n  color: var(--bs-accordion-btn-color);\n  text-align: left;\n  background-color: var(--bs-accordion-btn-bg);\n  border: 0;\n  border-radius: 0;\n  overflow-anchor: none;\n  transition: var(--bs-accordion-transition);\n}\n@media (prefers-reduced-motion: reduce) {\n  .accordion-button {\n    transition: none;\n  }\n}\n.accordion-button:not(.collapsed) {\n  color: var(--bs-accordion-active-color);\n  background-color: var(--bs-accordion-active-bg);\n  box-shadow: inset 0 calc(-1 * var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color);\n}\n.accordion-button:not(.collapsed)::after {\n  background-image: var(--bs-accordion-btn-active-icon);\n  transform: var(--bs-accordion-btn-icon-transform);\n}\n.accordion-button::after {\n  flex-shrink: 0;\n  width: var(--bs-accordion-btn-icon-width);\n  height: var(--bs-accordion-btn-icon-width);\n  margin-left: auto;\n  content: \"\";\n  background-image: var(--bs-accordion-btn-icon);\n  background-repeat: no-repeat;\n  background-size: var(--bs-accordion-btn-icon-width);\n  transition: var(--bs-accordion-btn-icon-transition);\n}\n@media (prefers-reduced-motion: reduce) {\n  .accordion-button::after {\n    transition: none;\n  }\n}\n.accordion-button:hover {\n  z-index: 2;\n}\n.accordion-button:focus {\n  z-index: 3;\n  outline: 0;\n  box-shadow: var(--bs-accordion-btn-focus-box-shadow);\n}\n\n.accordion-header {\n  margin-bottom: 0;\n}\n\n.accordion-item {\n  color: var(--bs-accordion-color);\n  background-color: var(--bs-accordion-bg);\n  border: var(--bs-accordion-border-width) solid var(--bs-accordion-border-color);\n}\n.accordion-item:first-of-type {\n  border-top-left-radius: var(--bs-accordion-border-radius);\n  border-top-right-radius: var(--bs-accordion-border-radius);\n}\n.accordion-item:first-of-type > .accordion-header .accordion-button {\n  border-top-left-radius: var(--bs-accordion-inner-border-radius);\n  border-top-right-radius: var(--bs-accordion-inner-border-radius);\n}\n.accordion-item:not(:first-of-type) {\n  border-top: 0;\n}\n.accordion-item:last-of-type {\n  border-bottom-right-radius: var(--bs-accordion-border-radius);\n  border-bottom-left-radius: var(--bs-accordion-border-radius);\n}\n.accordion-item:last-of-type > .accordion-header .accordion-button.collapsed {\n  border-bottom-right-radius: var(--bs-accordion-inner-border-radius);\n  border-bottom-left-radius: var(--bs-accordion-inner-border-radius);\n}\n.accordion-item:last-of-type > .accordion-collapse {\n  border-bottom-right-radius: var(--bs-accordion-border-radius);\n  border-bottom-left-radius: var(--bs-accordion-border-radius);\n}\n\n.accordion-body {\n  padding: var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x);\n}\n\n.accordion-flush > .accordion-item {\n  border-right: 0;\n  border-left: 0;\n  border-radius: 0;\n}\n.accordion-flush > .accordion-item:first-child {\n  border-top: 0;\n}\n.accordion-flush > .accordion-item:last-child {\n  border-bottom: 0;\n}\n.accordion-flush > .accordion-item > .accordion-header .accordion-button, .accordion-flush > .accordion-item > .accordion-header .accordion-button.collapsed {\n  border-radius: 0;\n}\n.accordion-flush > .accordion-item > .accordion-collapse {\n  border-radius: 0;\n}\n\n[data-bs-theme=dark] .accordion-button::after {\n  --bs-accordion-btn-icon: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e\");\n  --bs-accordion-btn-active-icon: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e\");\n}\n\n.breadcrumb {\n  --bs-breadcrumb-padding-x: 0;\n  --bs-breadcrumb-padding-y: 0;\n  --bs-breadcrumb-margin-bottom: 1rem;\n  --bs-breadcrumb-bg: ;\n  --bs-breadcrumb-border-radius: ;\n  --bs-breadcrumb-divider-color: var(--bs-secondary-color);\n  --bs-breadcrumb-item-padding-x: 0.5rem;\n  --bs-breadcrumb-item-active-color: var(--bs-secondary-color);\n  display: flex;\n  flex-wrap: wrap;\n  padding: var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);\n  margin-bottom: var(--bs-breadcrumb-margin-bottom);\n  font-size: var(--bs-breadcrumb-font-size);\n  list-style: none;\n  background-color: var(--bs-breadcrumb-bg);\n  border-radius: var(--bs-breadcrumb-border-radius);\n}\n\n.breadcrumb-item + .breadcrumb-item {\n  padding-left: var(--bs-breadcrumb-item-padding-x);\n}\n.breadcrumb-item + .breadcrumb-item::before {\n  float: left;\n  padding-right: var(--bs-breadcrumb-item-padding-x);\n  color: var(--bs-breadcrumb-divider-color);\n  content: var(--bs-breadcrumb-divider, \"/\") /* rtl: var(--bs-breadcrumb-divider, \"/\") */;\n}\n.breadcrumb-item.active {\n  color: var(--bs-breadcrumb-item-active-color);\n}\n\n.pagination {\n  --bs-pagination-padding-x: 0.75rem;\n  --bs-pagination-padding-y: 0.375rem;\n  --bs-pagination-font-size: 1rem;\n  --bs-pagination-color: var(--bs-link-color);\n  --bs-pagination-bg: var(--bs-body-bg);\n  --bs-pagination-border-width: var(--bs-border-width);\n  --bs-pagination-border-color: var(--bs-border-color);\n  --bs-pagination-border-radius: var(--bs-border-radius);\n  --bs-pagination-hover-color: var(--bs-link-hover-color);\n  --bs-pagination-hover-bg: var(--bs-tertiary-bg);\n  --bs-pagination-hover-border-color: var(--bs-border-color);\n  --bs-pagination-focus-color: var(--bs-link-hover-color);\n  --bs-pagination-focus-bg: var(--bs-secondary-bg);\n  --bs-pagination-focus-box-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);\n  --bs-pagination-active-color: #fff;\n  --bs-pagination-active-bg: #0d6efd;\n  --bs-pagination-active-border-color: #0d6efd;\n  --bs-pagination-disabled-color: var(--bs-secondary-color);\n  --bs-pagination-disabled-bg: var(--bs-secondary-bg);\n  --bs-pagination-disabled-border-color: var(--bs-border-color);\n  display: flex;\n  padding-left: 0;\n  list-style: none;\n}\n\n.page-link {\n  position: relative;\n  display: block;\n  padding: var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);\n  font-size: var(--bs-pagination-font-size);\n  color: var(--bs-pagination-color);\n  text-decoration: none;\n  background-color: var(--bs-pagination-bg);\n  border: var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);\n  transition: color 0.15s ease-in-out, background-color 0.15s ease-in-out, border-color 0.15s ease-in-out, box-shadow 0.15s ease-in-out;\n}\n@media (prefers-reduced-motion: reduce) {\n  .page-link {\n    transition: none;\n  }\n}\n.page-link:hover {\n  z-index: 2;\n  color: var(--bs-pagination-hover-color);\n  background-color: var(--bs-pagination-hover-bg);\n  border-color: var(--bs-pagination-hover-border-color);\n}\n.page-link:focus {\n  z-index: 3;\n  color: var(--bs-pagination-focus-color);\n  background-color: var(--bs-pagination-focus-bg);\n  outline: 0;\n  box-shadow: var(--bs-pagination-focus-box-shadow);\n}\n.page-link.active, .active > .page-link {\n  z-index: 3;\n  color: var(--bs-pagination-active-color);\n  background-color: var(--bs-pagination-active-bg);\n  border-color: var(--bs-pagination-active-border-color);\n}\n.page-link.disabled, .disabled > .page-link {\n  color: var(--bs-pagination-disabled-color);\n  pointer-events: none;\n  background-color: var(--bs-pagination-disabled-bg);\n  border-color: var(--bs-pagination-disabled-border-color);\n}\n\n.page-item:not(:first-child) .page-link {\n  margin-left: calc(var(--bs-border-width) * -1);\n}\n.page-item:first-child .page-link {\n  border-top-left-radius: var(--bs-pagination-border-radius);\n  border-bottom-left-radius: var(--bs-pagination-border-radius);\n}\n.page-item:last-child .page-link {\n  border-top-right-radius: var(--bs-pagination-border-radius);\n  border-bottom-right-radius: var(--bs-pagination-border-radius);\n}\n\n.pagination-lg {\n  --bs-pagination-padding-x: 1.5rem;\n  --bs-pagination-padding-y: 0.75rem;\n  --bs-pagination-font-size: 1.25rem;\n  --bs-pagination-border-radius: var(--bs-border-radius-lg);\n}\n\n.pagination-sm {\n  --bs-pagination-padding-x: 0.5rem;\n  --bs-pagination-padding-y: 0.25rem;\n  --bs-pagination-font-size: 0.875rem;\n  --bs-pagination-border-radius: var(--bs-border-radius-sm);\n}\n\n.badge {\n  --bs-badge-padding-x: 0.65em;\n  --bs-badge-padding-y: 0.35em;\n  --bs-badge-font-size: 0.75em;\n  --bs-badge-font-weight: 700;\n  --bs-badge-color: #fff;\n  --bs-badge-border-radius: var(--bs-border-radius);\n  display: inline-block;\n  padding: var(--bs-badge-padding-y) var(--bs-badge-padding-x);\n  font-size: var(--bs-badge-font-size);\n  font-weight: var(--bs-badge-font-weight);\n  line-height: 1;\n  color: var(--bs-badge-color);\n  text-align: center;\n  white-space: nowrap;\n  vertical-align: baseline;\n  border-radius: var(--bs-badge-border-radius);\n}\n.badge:empty {\n  display: none;\n}\n\n.btn .badge {\n  position: relative;\n  top: -1px;\n}\n\n.alert {\n  --bs-alert-bg: transparent;\n  --bs-alert-padding-x: 1rem;\n  --bs-alert-padding-y: 1rem;\n  --bs-alert-margin-bottom: 1rem;\n  --bs-alert-color: inherit;\n  --bs-alert-border-color: transparent;\n  --bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);\n  --bs-alert-border-radius: var(--bs-border-radius);\n  --bs-alert-link-color: inherit;\n  position: relative;\n  padding: var(--bs-alert-padding-y) var(--bs-alert-padding-x);\n  margin-bottom: var(--bs-alert-margin-bottom);\n  color: var(--bs-alert-color);\n  background-color: var(--bs-alert-bg);\n  border: var(--bs-alert-border);\n  border-radius: var(--bs-alert-border-radius);\n}\n\n.alert-heading {\n  color: inherit;\n}\n\n.alert-link {\n  font-weight: 700;\n  color: var(--bs-alert-link-color);\n}\n\n.alert-dismissible {\n  padding-right: 3rem;\n}\n.alert-dismissible .btn-close {\n  position: absolute;\n  top: 0;\n  right: 0;\n  z-index: 2;\n  padding: 1.25rem 1rem;\n}\n\n.alert-primary {\n  --bs-alert-color: var(--bs-primary-text-emphasis);\n  --bs-alert-bg: var(--bs-primary-bg-subtle);\n  --bs-alert-border-color: var(--bs-primary-border-subtle);\n  --bs-alert-link-color: var(--bs-primary-text-emphasis);\n}\n\n.alert-secondary {\n  --bs-alert-color: var(--bs-secondary-text-emphasis);\n  --bs-alert-bg: var(--bs-secondary-bg-subtle);\n  --bs-alert-border-color: var(--bs-secondary-border-subtle);\n  --bs-alert-link-color: var(--bs-secondary-text-emphasis);\n}\n\n.alert-success {\n  --bs-alert-color: var(--bs-success-text-emphasis);\n  --bs-alert-bg: var(--bs-success-bg-subtle);\n  --bs-alert-border-color: var(--bs-success-border-subtle);\n  --bs-alert-link-color: var(--bs-success-text-emphasis);\n}\n\n.alert-info {\n  --bs-alert-color: var(--bs-info-text-emphasis);\n  --bs-alert-bg: var(--bs-info-bg-subtle);\n  --bs-alert-border-color: var(--bs-info-border-subtle);\n  --bs-alert-link-color: var(--bs-info-text-emphasis);\n}\n\n.alert-warning {\n  --bs-alert-color: var(--bs-warning-text-emphasis);\n  --bs-alert-bg: var(--bs-warning-bg-subtle);\n  --bs-alert-border-color: var(--bs-warning-border-subtle);\n  --bs-alert-link-color: var(--bs-warning-text-emphasis);\n}\n\n.alert-danger {\n  --bs-alert-color: var(--bs-danger-text-emphasis);\n  --bs-alert-bg: var(--bs-danger-bg-subtle);\n  --bs-alert-border-color: var(--bs-danger-border-subtle);\n  --bs-alert-link-color: var(--bs-danger-text-emphasis);\n}\n\n.alert-light {\n  --bs-alert-color: var(--bs-light-text-emphasis);\n  --bs-alert-bg: var(--bs-light-bg-subtle);\n  --bs-alert-border-color: var(--bs-light-border-subtle);\n  --bs-alert-link-color: var(--bs-light-text-emphasis);\n}\n\n.alert-dark {\n  --bs-alert-color: var(--bs-dark-text-emphasis);\n  --bs-alert-bg: var(--bs-dark-bg-subtle);\n  --bs-alert-border-color: var(--bs-dark-border-subtle);\n  --bs-alert-link-color: var(--bs-dark-text-emphasis);\n}\n\n@keyframes progress-bar-stripes {\n  0% {\n    background-position-x: 1rem;\n  }\n}\n.progress,\n.progress-stacked {\n  --bs-progress-height: 1rem;\n  --bs-progress-font-size: 0.75rem;\n  --bs-progress-bg: var(--bs-secondary-bg);\n  --bs-progress-border-radius: var(--bs-border-radius);\n  --bs-progress-box-shadow: var(--bs-box-shadow-inset);\n  --bs-progress-bar-color: #fff;\n  --bs-progress-bar-bg: #0d6efd;\n  --bs-progress-bar-transition: width 0.6s ease;\n  display: flex;\n  height: var(--bs-progress-height);\n  overflow: hidden;\n  font-size: var(--bs-progress-font-size);\n  background-color: var(--bs-progress-bg);\n  border-radius: var(--bs-progress-border-radius);\n}\n\n.progress-bar {\n  display: flex;\n  flex-direction: column;\n  justify-content: center;\n  overflow: hidden;\n  color: var(--bs-progress-bar-color);\n  text-align: center;\n  white-space: nowrap;\n  background-color: var(--bs-progress-bar-bg);\n  transition: var(--bs-progress-bar-transition);\n}\n@media (prefers-reduced-motion: reduce) {\n  .progress-bar {\n    transition: none;\n  }\n}\n\n.progress-bar-striped {\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-size: var(--bs-progress-height) var(--bs-progress-height);\n}\n\n.progress-stacked > .progress {\n  overflow: visible;\n}\n\n.progress-stacked > .progress > .progress-bar {\n  width: 100%;\n}\n\n.progress-bar-animated {\n  animation: 1s linear infinite progress-bar-stripes;\n}\n@media (prefers-reduced-motion: reduce) {\n  .progress-bar-animated {\n    animation: none;\n  }\n}\n\n.list-group {\n  --bs-list-group-color: var(--bs-body-color);\n  --bs-list-group-bg: var(--bs-body-bg);\n  --bs-list-group-border-color: var(--bs-border-color);\n  --bs-list-group-border-width: var(--bs-border-width);\n  --bs-list-group-border-radius: var(--bs-border-radius);\n  --bs-list-group-item-padding-x: 1rem;\n  --bs-list-group-item-padding-y: 0.5rem;\n  --bs-list-group-action-color: var(--bs-secondary-color);\n  --bs-list-group-action-hover-color: var(--bs-emphasis-color);\n  --bs-list-group-action-hover-bg: var(--bs-tertiary-bg);\n  --bs-list-group-action-active-color: var(--bs-body-color);\n  --bs-list-group-action-active-bg: var(--bs-secondary-bg);\n  --bs-list-group-disabled-color: var(--bs-secondary-color);\n  --bs-list-group-disabled-bg: var(--bs-body-bg);\n  --bs-list-group-active-color: #fff;\n  --bs-list-group-active-bg: #0d6efd;\n  --bs-list-group-active-border-color: #0d6efd;\n  display: flex;\n  flex-direction: column;\n  padding-left: 0;\n  margin-bottom: 0;\n  border-radius: var(--bs-list-group-border-radius);\n}\n\n.list-group-numbered {\n  list-style-type: none;\n  counter-reset: section;\n}\n.list-group-numbered > .list-group-item::before {\n  content: counters(section, \".\") \". \";\n  counter-increment: section;\n}\n\n.list-group-item-action {\n  width: 100%;\n  color: var(--bs-list-group-action-color);\n  text-align: inherit;\n}\n.list-group-item-action:hover, .list-group-item-action:focus {\n  z-index: 1;\n  color: var(--bs-list-group-action-hover-color);\n  text-decoration: none;\n  background-color: var(--bs-list-group-action-hover-bg);\n}\n.list-group-item-action:active {\n  color: var(--bs-list-group-action-active-color);\n  background-color: var(--bs-list-group-action-active-bg);\n}\n\n.list-group-item {\n  position: relative;\n  display: block;\n  padding: var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);\n  color: var(--bs-list-group-color);\n  text-decoration: none;\n  background-color: var(--bs-list-group-bg);\n  border: var(--bs-list-group-border-width) solid var(--bs-list-group-border-color);\n}\n.list-group-item:first-child {\n  border-top-left-radius: inherit;\n  border-top-right-radius: inherit;\n}\n.list-group-item:last-child {\n  border-bottom-right-radius: inherit;\n  border-bottom-left-radius: inherit;\n}\n.list-group-item.disabled, .list-group-item:disabled {\n  color: var(--bs-list-group-disabled-color);\n  pointer-events: none;\n  background-color: var(--bs-list-group-disabled-bg);\n}\n.list-group-item.active {\n  z-index: 2;\n  color: var(--bs-list-group-active-color);\n  background-color: var(--bs-list-group-active-bg);\n  border-color: var(--bs-list-group-active-border-color);\n}\n.list-group-item + .list-group-item {\n  border-top-width: 0;\n}\n.list-group-item + .list-group-item.active {\n  margin-top: calc(-1 * var(--bs-list-group-border-width));\n  border-top-width: var(--bs-list-group-border-width);\n}\n\n.list-group-horizontal {\n  flex-direction: row;\n}\n.list-group-horizontal > .list-group-item:first-child:not(:last-child) {\n  border-bottom-left-radius: var(--bs-list-group-border-radius);\n  border-top-right-radius: 0;\n}\n.list-group-horizontal > .list-group-item:last-child:not(:first-child) {\n  border-top-right-radius: var(--bs-list-group-border-radius);\n  border-bottom-left-radius: 0;\n}\n.list-group-horizontal > .list-group-item.active {\n  margin-top: 0;\n}\n.list-group-horizontal > .list-group-item + .list-group-item {\n  border-top-width: var(--bs-list-group-border-width);\n  border-left-width: 0;\n}\n.list-group-horizontal > .list-group-item + .list-group-item.active {\n  margin-left: calc(-1 * var(--bs-list-group-border-width));\n  border-left-width: var(--bs-list-group-border-width);\n}\n\n@media (min-width: 576px) {\n  .list-group-horizontal-sm {\n    flex-direction: row;\n  }\n  .list-group-horizontal-sm > .list-group-item:first-child:not(:last-child) {\n    border-bottom-left-radius: var(--bs-list-group-border-radius);\n    border-top-right-radius: 0;\n  }\n  .list-group-horizontal-sm > .list-group-item:last-child:not(:first-child) {\n    border-top-right-radius: var(--bs-list-group-border-radius);\n    border-bottom-left-radius: 0;\n  }\n  .list-group-horizontal-sm > .list-group-item.active {\n    margin-top: 0;\n  }\n  .list-group-horizontal-sm > .list-group-item + .list-group-item {\n    border-top-width: var(--bs-list-group-border-width);\n    border-left-width: 0;\n  }\n  .list-group-horizontal-sm > .list-group-item + .list-group-item.active {\n    margin-left: calc(-1 * var(--bs-list-group-border-width));\n    border-left-width: var(--bs-list-group-border-width);\n  }\n}\n@media (min-width: 768px) {\n  .list-group-horizontal-md {\n    flex-direction: row;\n  }\n  .list-group-horizontal-md > .list-group-item:first-child:not(:last-child) {\n    border-bottom-left-radius: var(--bs-list-group-border-radius);\n    border-top-right-radius: 0;\n  }\n  .list-group-horizontal-md > .list-group-item:last-child:not(:first-child) {\n    border-top-right-radius: var(--bs-list-group-border-radius);\n    border-bottom-left-radius: 0;\n  }\n  .list-group-horizontal-md > .list-group-item.active {\n    margin-top: 0;\n  }\n  .list-group-horizontal-md > .list-group-item + .list-group-item {\n    border-top-width: var(--bs-list-group-border-width);\n    border-left-width: 0;\n  }\n  .list-group-horizontal-md > .list-group-item + .list-group-item.active {\n    margin-left: calc(-1 * var(--bs-list-group-border-width));\n    border-left-width: var(--bs-list-group-border-width);\n  }\n}\n@media (min-width: 992px) {\n  .list-group-horizontal-lg {\n    flex-direction: row;\n  }\n  .list-group-horizontal-lg > .list-group-item:first-child:not(:last-child) {\n    border-bottom-left-radius: var(--bs-list-group-border-radius);\n    border-top-right-radius: 0;\n  }\n  .list-group-horizontal-lg > .list-group-item:last-child:not(:first-child) {\n    border-top-right-radius: var(--bs-list-group-border-radius);\n    border-bottom-left-radius: 0;\n  }\n  .list-group-horizontal-lg > .list-group-item.active {\n    margin-top: 0;\n  }\n  .list-group-horizontal-lg > .list-group-item + .list-group-item {\n    border-top-width: var(--bs-list-group-border-width);\n    border-left-width: 0;\n  }\n  .list-group-horizontal-lg > .list-group-item + .list-group-item.active {\n    margin-left: calc(-1 * var(--bs-list-group-border-width));\n    border-left-width: var(--bs-list-group-border-width);\n  }\n}\n@media (min-width: 1200px) {\n  .list-group-horizontal-xl {\n    flex-direction: row;\n  }\n  .list-group-horizontal-xl > .list-group-item:first-child:not(:last-child) {\n    border-bottom-left-radius: var(--bs-list-group-border-radius);\n    border-top-right-radius: 0;\n  }\n  .list-group-horizontal-xl > .list-group-item:last-child:not(:first-child) {\n    border-top-right-radius: var(--bs-list-group-border-radius);\n    border-bottom-left-radius: 0;\n  }\n  .list-group-horizontal-xl > .list-group-item.active {\n    margin-top: 0;\n  }\n  .list-group-horizontal-xl > .list-group-item + .list-group-item {\n    border-top-width: var(--bs-list-group-border-width);\n    border-left-width: 0;\n  }\n  .list-group-horizontal-xl > .list-group-item + .list-group-item.active {\n    margin-left: calc(-1 * var(--bs-list-group-border-width));\n    border-left-width: var(--bs-list-group-border-width);\n  }\n}\n@media (min-width: 1400px) {\n  .list-group-horizontal-xxl {\n    flex-direction: row;\n  }\n  .list-group-horizontal-xxl > .list-group-item:first-child:not(:last-child) {\n    border-bottom-left-radius: var(--bs-list-group-border-radius);\n    border-top-right-radius: 0;\n  }\n  .list-group-horizontal-xxl > .list-group-item:last-child:not(:first-child) {\n    border-top-right-radius: var(--bs-list-group-border-radius);\n    border-bottom-left-radius: 0;\n  }\n  .list-group-horizontal-xxl > .list-group-item.active {\n    margin-top: 0;\n  }\n  .list-group-horizontal-xxl > .list-group-item + .list-group-item {\n    border-top-width: var(--bs-list-group-border-width);\n    border-left-width: 0;\n  }\n  .list-group-horizontal-xxl > .list-group-item + .list-group-item.active {\n    margin-left: calc(-1 * var(--bs-list-group-border-width));\n    border-left-width: var(--bs-list-group-border-width);\n  }\n}\n.list-group-flush {\n  border-radius: 0;\n}\n.list-group-flush > .list-group-item {\n  border-width: 0 0 var(--bs-list-group-border-width);\n}\n.list-group-flush > .list-group-item:last-child {\n  border-bottom-width: 0;\n}\n\n.list-group-item-primary {\n  --bs-list-group-color: var(--bs-primary-text-emphasis);\n  --bs-list-group-bg: var(--bs-primary-bg-subtle);\n  --bs-list-group-border-color: var(--bs-primary-border-subtle);\n  --bs-list-group-action-hover-color: var(--bs-emphasis-color);\n  --bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);\n  --bs-list-group-action-active-color: var(--bs-emphasis-color);\n  --bs-list-group-action-active-bg: var(--bs-primary-border-subtle);\n  --bs-list-group-active-color: var(--bs-primary-bg-subtle);\n  --bs-list-group-active-bg: var(--bs-primary-text-emphasis);\n  --bs-list-group-active-border-color: var(--bs-primary-text-emphasis);\n}\n\n.list-group-item-secondary {\n  --bs-list-group-color: var(--bs-secondary-text-emphasis);\n  --bs-list-group-bg: var(--bs-secondary-bg-subtle);\n  --bs-list-group-border-color: var(--bs-secondary-border-subtle);\n  --bs-list-group-action-hover-color: var(--bs-emphasis-color);\n  --bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);\n  --bs-list-group-action-active-color: var(--bs-emphasis-color);\n  --bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);\n  --bs-list-group-active-color: var(--bs-secondary-bg-subtle);\n  --bs-list-group-active-bg: var(--bs-secondary-text-emphasis);\n  --bs-list-group-active-border-color: var(--bs-secondary-text-emphasis);\n}\n\n.list-group-item-success {\n  --bs-list-group-color: var(--bs-success-text-emphasis);\n  --bs-list-group-bg: var(--bs-success-bg-subtle);\n  --bs-list-group-border-color: var(--bs-success-border-subtle);\n  --bs-list-group-action-hover-color: var(--bs-emphasis-color);\n  --bs-list-group-action-hover-bg: var(--bs-success-border-subtle);\n  --bs-list-group-action-active-color: var(--bs-emphasis-color);\n  --bs-list-group-action-active-bg: var(--bs-success-border-subtle);\n  --bs-list-group-active-color: var(--bs-success-bg-subtle);\n  --bs-list-group-active-bg: var(--bs-success-text-emphasis);\n  --bs-list-group-active-border-color: var(--bs-success-text-emphasis);\n}\n\n.list-group-item-info {\n  --bs-list-group-color: var(--bs-info-text-emphasis);\n  --bs-list-group-bg: var(--bs-info-bg-subtle);\n  --bs-list-group-border-color: var(--bs-info-border-subtle);\n  --bs-list-group-action-hover-color: var(--bs-emphasis-color);\n  --bs-list-group-action-hover-bg: var(--bs-info-border-subtle);\n  --bs-list-group-action-active-color: var(--bs-emphasis-color);\n  --bs-list-group-action-active-bg: var(--bs-info-border-subtle);\n  --bs-list-group-active-color: var(--bs-info-bg-subtle);\n  --bs-list-group-active-bg: var(--bs-info-text-emphasis);\n  --bs-list-group-active-border-color: var(--bs-info-text-emphasis);\n}\n\n.list-group-item-warning {\n  --bs-list-group-color: var(--bs-warning-text-emphasis);\n  --bs-list-group-bg: var(--bs-warning-bg-subtle);\n  --bs-list-group-border-color: var(--bs-warning-border-subtle);\n  --bs-list-group-action-hover-color: var(--bs-emphasis-color);\n  --bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);\n  --bs-list-group-action-active-color: var(--bs-emphasis-color);\n  --bs-list-group-action-active-bg: var(--bs-warning-border-subtle);\n  --bs-list-group-active-color: var(--bs-warning-bg-subtle);\n  --bs-list-group-active-bg: var(--bs-warning-text-emphasis);\n  --bs-list-group-active-border-color: var(--bs-warning-text-emphasis);\n}\n\n.list-group-item-danger {\n  --bs-list-group-color: var(--bs-danger-text-emphasis);\n  --bs-list-group-bg: var(--bs-danger-bg-subtle);\n  --bs-list-group-border-color: var(--bs-danger-border-subtle);\n  --bs-list-group-action-hover-color: var(--bs-emphasis-color);\n  --bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);\n  --bs-list-group-action-active-color: var(--bs-emphasis-color);\n  --bs-list-group-action-active-bg: var(--bs-danger-border-subtle);\n  --bs-list-group-active-color: var(--bs-danger-bg-subtle);\n  --bs-list-group-active-bg: var(--bs-danger-text-emphasis);\n  --bs-list-group-active-border-color: var(--bs-danger-text-emphasis);\n}\n\n.list-group-item-light {\n  --bs-list-group-color: var(--bs-light-text-emphasis);\n  --bs-list-group-bg: var(--bs-light-bg-subtle);\n  --bs-list-group-border-color: var(--bs-light-border-subtle);\n  --bs-list-group-action-hover-color: var(--bs-emphasis-color);\n  --bs-list-group-action-hover-bg: var(--bs-light-border-subtle);\n  --bs-list-group-action-active-color: var(--bs-emphasis-color);\n  --bs-list-group-action-active-bg: var(--bs-light-border-subtle);\n  --bs-list-group-active-color: var(--bs-light-bg-subtle);\n  --bs-list-group-active-bg: var(--bs-light-text-emphasis);\n  --bs-list-group-active-border-color: var(--bs-light-text-emphasis);\n}\n\n.list-group-item-dark {\n  --bs-list-group-color: var(--bs-dark-text-emphasis);\n  --bs-list-group-bg: var(--bs-dark-bg-subtle);\n  --bs-list-group-border-color: var(--bs-dark-border-subtle);\n  --bs-list-group-action-hover-color: var(--bs-emphasis-color);\n  --bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);\n  --bs-list-group-action-active-color: var(--bs-emphasis-color);\n  --bs-list-group-action-active-bg: var(--bs-dark-border-subtle);\n  --bs-list-group-active-color: var(--bs-dark-bg-subtle);\n  --bs-list-group-active-bg: var(--bs-dark-text-emphasis);\n  --bs-list-group-active-border-color: var(--bs-dark-text-emphasis);\n}\n\n.btn-close {\n  --bs-btn-close-color: #000;\n  --bs-btn-close-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e\");\n  --bs-btn-close-opacity: 0.5;\n  --bs-btn-close-hover-opacity: 0.75;\n  --bs-btn-close-focus-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);\n  --bs-btn-close-focus-opacity: 1;\n  --bs-btn-close-disabled-opacity: 0.25;\n  --bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);\n  box-sizing: content-box;\n  width: 1em;\n  height: 1em;\n  padding: 0.25em 0.25em;\n  color: var(--bs-btn-close-color);\n  background: transparent var(--bs-btn-close-bg) center/1em auto no-repeat;\n  border: 0;\n  border-radius: 0.375rem;\n  opacity: var(--bs-btn-close-opacity);\n}\n.btn-close:hover {\n  color: var(--bs-btn-close-color);\n  text-decoration: none;\n  opacity: var(--bs-btn-close-hover-opacity);\n}\n.btn-close:focus {\n  outline: 0;\n  box-shadow: var(--bs-btn-close-focus-shadow);\n  opacity: var(--bs-btn-close-focus-opacity);\n}\n.btn-close:disabled, .btn-close.disabled {\n  pointer-events: none;\n  user-select: none;\n  opacity: var(--bs-btn-close-disabled-opacity);\n}\n\n.btn-close-white {\n  filter: var(--bs-btn-close-white-filter);\n}\n\n[data-bs-theme=dark] .btn-close {\n  filter: var(--bs-btn-close-white-filter);\n}\n\n.toast {\n  --bs-toast-zindex: 1090;\n  --bs-toast-padding-x: 0.75rem;\n  --bs-toast-padding-y: 0.5rem;\n  --bs-toast-spacing: 1.5rem;\n  --bs-toast-max-width: 350px;\n  --bs-toast-font-size: 0.875rem;\n  --bs-toast-color: ;\n  --bs-toast-bg: rgba(var(--bs-body-bg-rgb), 0.85);\n  --bs-toast-border-width: var(--bs-border-width);\n  --bs-toast-border-color: var(--bs-border-color-translucent);\n  --bs-toast-border-radius: var(--bs-border-radius);\n  --bs-toast-box-shadow: var(--bs-box-shadow);\n  --bs-toast-header-color: var(--bs-secondary-color);\n  --bs-toast-header-bg: rgba(var(--bs-body-bg-rgb), 0.85);\n  --bs-toast-header-border-color: var(--bs-border-color-translucent);\n  width: var(--bs-toast-max-width);\n  max-width: 100%;\n  font-size: var(--bs-toast-font-size);\n  color: var(--bs-toast-color);\n  pointer-events: auto;\n  background-color: var(--bs-toast-bg);\n  background-clip: padding-box;\n  border: var(--bs-toast-border-width) solid var(--bs-toast-border-color);\n  box-shadow: var(--bs-toast-box-shadow);\n  border-radius: var(--bs-toast-border-radius);\n}\n.toast.showing {\n  opacity: 0;\n}\n.toast:not(.show) {\n  display: none;\n}\n\n.toast-container {\n  --bs-toast-zindex: 1090;\n  position: absolute;\n  z-index: var(--bs-toast-zindex);\n  width: max-content;\n  max-width: 100%;\n  pointer-events: none;\n}\n.toast-container > :not(:last-child) {\n  margin-bottom: var(--bs-toast-spacing);\n}\n\n.toast-header {\n  display: flex;\n  align-items: center;\n  padding: var(--bs-toast-padding-y) var(--bs-toast-padding-x);\n  color: var(--bs-toast-header-color);\n  background-color: var(--bs-toast-header-bg);\n  background-clip: padding-box;\n  border-bottom: var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);\n  border-top-left-radius: calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));\n  border-top-right-radius: calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));\n}\n.toast-header .btn-close {\n  margin-right: calc(-0.5 * var(--bs-toast-padding-x));\n  margin-left: var(--bs-toast-padding-x);\n}\n\n.toast-body {\n  padding: var(--bs-toast-padding-x);\n  word-wrap: break-word;\n}\n\n.modal {\n  --bs-modal-zindex: 1055;\n  --bs-modal-width: 500px;\n  --bs-modal-padding: 1rem;\n  --bs-modal-margin: 0.5rem;\n  --bs-modal-color: ;\n  --bs-modal-bg: var(--bs-body-bg);\n  --bs-modal-border-color: var(--bs-border-color-translucent);\n  --bs-modal-border-width: var(--bs-border-width);\n  --bs-modal-border-radius: var(--bs-border-radius-lg);\n  --bs-modal-box-shadow: var(--bs-box-shadow-sm);\n  --bs-modal-inner-border-radius: calc(var(--bs-border-radius-lg) - (var(--bs-border-width)));\n  --bs-modal-header-padding-x: 1rem;\n  --bs-modal-header-padding-y: 1rem;\n  --bs-modal-header-padding: 1rem 1rem;\n  --bs-modal-header-border-color: var(--bs-border-color);\n  --bs-modal-header-border-width: var(--bs-border-width);\n  --bs-modal-title-line-height: 1.5;\n  --bs-modal-footer-gap: 0.5rem;\n  --bs-modal-footer-bg: ;\n  --bs-modal-footer-border-color: var(--bs-border-color);\n  --bs-modal-footer-border-width: var(--bs-border-width);\n  position: fixed;\n  top: 0;\n  left: 0;\n  z-index: var(--bs-modal-zindex);\n  display: none;\n  width: 100%;\n  height: 100%;\n  overflow-x: hidden;\n  overflow-y: auto;\n  outline: 0;\n}\n\n.modal-dialog {\n  position: relative;\n  width: auto;\n  margin: var(--bs-modal-margin);\n  pointer-events: none;\n}\n.modal.fade .modal-dialog {\n  transition: transform 0.3s ease-out;\n  transform: translate(0, -50px);\n}\n@media (prefers-reduced-motion: reduce) {\n  .modal.fade .modal-dialog {\n    transition: none;\n  }\n}\n.modal.show .modal-dialog {\n  transform: none;\n}\n.modal.modal-static .modal-dialog {\n  transform: scale(1.02);\n}\n\n.modal-dialog-scrollable {\n  height: calc(100% - var(--bs-modal-margin) * 2);\n}\n.modal-dialog-scrollable .modal-content {\n  max-height: 100%;\n  overflow: hidden;\n}\n.modal-dialog-scrollable .modal-body {\n  overflow-y: auto;\n}\n\n.modal-dialog-centered {\n  display: flex;\n  align-items: center;\n  min-height: calc(100% - var(--bs-modal-margin) * 2);\n}\n\n.modal-content {\n  position: relative;\n  display: flex;\n  flex-direction: column;\n  width: 100%;\n  color: var(--bs-modal-color);\n  pointer-events: auto;\n  background-color: var(--bs-modal-bg);\n  background-clip: padding-box;\n  border: var(--bs-modal-border-width) solid var(--bs-modal-border-color);\n  border-radius: var(--bs-modal-border-radius);\n  outline: 0;\n}\n\n.modal-backdrop {\n  --bs-backdrop-zindex: 1050;\n  --bs-backdrop-bg: #000;\n  --bs-backdrop-opacity: 0.5;\n  position: fixed;\n  top: 0;\n  left: 0;\n  z-index: var(--bs-backdrop-zindex);\n  width: 100vw;\n  height: 100vh;\n  background-color: var(--bs-backdrop-bg);\n}\n.modal-backdrop.fade {\n  opacity: 0;\n}\n.modal-backdrop.show {\n  opacity: var(--bs-backdrop-opacity);\n}\n\n.modal-header {\n  display: flex;\n  flex-shrink: 0;\n  align-items: center;\n  padding: var(--bs-modal-header-padding);\n  border-bottom: var(--bs-modal-header-border-width) solid var(--bs-modal-header-border-color);\n  border-top-left-radius: var(--bs-modal-inner-border-radius);\n  border-top-right-radius: var(--bs-modal-inner-border-radius);\n}\n.modal-header .btn-close {\n  padding: calc(var(--bs-modal-header-padding-y) * 0.5) calc(var(--bs-modal-header-padding-x) * 0.5);\n  margin: calc(-0.5 * var(--bs-modal-header-padding-y)) calc(-0.5 * var(--bs-modal-header-padding-x)) calc(-0.5 * var(--bs-modal-header-padding-y)) auto;\n}\n\n.modal-title {\n  margin-bottom: 0;\n  line-height: var(--bs-modal-title-line-height);\n}\n\n.modal-body {\n  position: relative;\n  flex: 1 1 auto;\n  padding: var(--bs-modal-padding);\n}\n\n.modal-footer {\n  display: flex;\n  flex-shrink: 0;\n  flex-wrap: wrap;\n  align-items: center;\n  justify-content: flex-end;\n  padding: calc(var(--bs-modal-padding) - var(--bs-modal-footer-gap) * 0.5);\n  background-color: var(--bs-modal-footer-bg);\n  border-top: var(--bs-modal-footer-border-width) solid var(--bs-modal-footer-border-color);\n  border-bottom-right-radius: var(--bs-modal-inner-border-radius);\n  border-bottom-left-radius: var(--bs-modal-inner-border-radius);\n}\n.modal-footer > * {\n  margin: calc(var(--bs-modal-footer-gap) * 0.5);\n}\n\n@media (min-width: 576px) {\n  .modal {\n    --bs-modal-margin: 1.75rem;\n    --bs-modal-box-shadow: var(--bs-box-shadow);\n  }\n  .modal-dialog {\n    max-width: var(--bs-modal-width);\n    margin-right: auto;\n    margin-left: auto;\n  }\n  .modal-sm {\n    --bs-modal-width: 300px;\n  }\n}\n@media (min-width: 992px) {\n  .modal-lg,\n  .modal-xl {\n    --bs-modal-width: 800px;\n  }\n}\n@media (min-width: 1200px) {\n  .modal-xl {\n    --bs-modal-width: 1140px;\n  }\n}\n.modal-fullscreen {\n  width: 100vw;\n  max-width: none;\n  height: 100%;\n  margin: 0;\n}\n.modal-fullscreen .modal-content {\n  height: 100%;\n  border: 0;\n  border-radius: 0;\n}\n.modal-fullscreen .modal-header,\n.modal-fullscreen .modal-footer {\n  border-radius: 0;\n}\n.modal-fullscreen .modal-body {\n  overflow-y: auto;\n}\n\n@media (max-width: 575.98px) {\n  .modal-fullscreen-sm-down {\n    width: 100vw;\n    max-width: none;\n    height: 100%;\n    margin: 0;\n  }\n  .modal-fullscreen-sm-down .modal-content {\n    height: 100%;\n    border: 0;\n    border-radius: 0;\n  }\n  .modal-fullscreen-sm-down .modal-header,\n  .modal-fullscreen-sm-down .modal-footer {\n    border-radius: 0;\n  }\n  .modal-fullscreen-sm-down .modal-body {\n    overflow-y: auto;\n  }\n}\n@media (max-width: 767.98px) {\n  .modal-fullscreen-md-down {\n    width: 100vw;\n    max-width: none;\n    height: 100%;\n    margin: 0;\n  }\n  .modal-fullscreen-md-down .modal-content {\n    height: 100%;\n    border: 0;\n    border-radius: 0;\n  }\n  .modal-fullscreen-md-down .modal-header,\n  .modal-fullscreen-md-down .modal-footer {\n    border-radius: 0;\n  }\n  .modal-fullscreen-md-down .modal-body {\n    overflow-y: auto;\n  }\n}\n@media (max-width: 991.98px) {\n  .modal-fullscreen-lg-down {\n    width: 100vw;\n    max-width: none;\n    height: 100%;\n    margin: 0;\n  }\n  .modal-fullscreen-lg-down .modal-content {\n    height: 100%;\n    border: 0;\n    border-radius: 0;\n  }\n  .modal-fullscreen-lg-down .modal-header,\n  .modal-fullscreen-lg-down .modal-footer {\n    border-radius: 0;\n  }\n  .modal-fullscreen-lg-down .modal-body {\n    overflow-y: auto;\n  }\n}\n@media (max-width: 1199.98px) {\n  .modal-fullscreen-xl-down {\n    width: 100vw;\n    max-width: none;\n    height: 100%;\n    margin: 0;\n  }\n  .modal-fullscreen-xl-down .modal-content {\n    height: 100%;\n    border: 0;\n    border-radius: 0;\n  }\n  .modal-fullscreen-xl-down .modal-header,\n  .modal-fullscreen-xl-down .modal-footer {\n    border-radius: 0;\n  }\n  .modal-fullscreen-xl-down .modal-body {\n    overflow-y: auto;\n  }\n}\n@media (max-width: 1399.98px) {\n  .modal-fullscreen-xxl-down {\n    width: 100vw;\n    max-width: none;\n    height: 100%;\n    margin: 0;\n  }\n  .modal-fullscreen-xxl-down .modal-content {\n    height: 100%;\n    border: 0;\n    border-radius: 0;\n  }\n  .modal-fullscreen-xxl-down .modal-header,\n  .modal-fullscreen-xxl-down .modal-footer {\n    border-radius: 0;\n  }\n  .modal-fullscreen-xxl-down .modal-body {\n    overflow-y: auto;\n  }\n}\n.tooltip {\n  --bs-tooltip-zindex: 1080;\n  --bs-tooltip-max-width: 200px;\n  --bs-tooltip-padding-x: 0.5rem;\n  --bs-tooltip-padding-y: 0.25rem;\n  --bs-tooltip-margin: ;\n  --bs-tooltip-font-size: 0.875rem;\n  --bs-tooltip-color: var(--bs-body-bg);\n  --bs-tooltip-bg: var(--bs-emphasis-color);\n  --bs-tooltip-border-radius: var(--bs-border-radius);\n  --bs-tooltip-opacity: 0.9;\n  --bs-tooltip-arrow-width: 0.8rem;\n  --bs-tooltip-arrow-height: 0.4rem;\n  z-index: var(--bs-tooltip-zindex);\n  display: block;\n  margin: var(--bs-tooltip-margin);\n  font-family: var(--bs-font-sans-serif);\n  font-style: normal;\n  font-weight: 400;\n  line-height: 1.5;\n  text-align: left;\n  text-align: start;\n  text-decoration: none;\n  text-shadow: none;\n  text-transform: none;\n  letter-spacing: normal;\n  word-break: normal;\n  white-space: normal;\n  word-spacing: normal;\n  line-break: auto;\n  font-size: var(--bs-tooltip-font-size);\n  word-wrap: break-word;\n  opacity: 0;\n}\n.tooltip.show {\n  opacity: var(--bs-tooltip-opacity);\n}\n.tooltip .tooltip-arrow {\n  display: block;\n  width: var(--bs-tooltip-arrow-width);\n  height: var(--bs-tooltip-arrow-height);\n}\n.tooltip .tooltip-arrow::before {\n  position: absolute;\n  content: \"\";\n  border-color: transparent;\n  border-style: solid;\n}\n\n.bs-tooltip-top .tooltip-arrow, .bs-tooltip-auto[data-popper-placement^=top] .tooltip-arrow {\n  bottom: calc(-1 * var(--bs-tooltip-arrow-height));\n}\n.bs-tooltip-top .tooltip-arrow::before, .bs-tooltip-auto[data-popper-placement^=top] .tooltip-arrow::before {\n  top: -1px;\n  border-width: var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width) * 0.5) 0;\n  border-top-color: var(--bs-tooltip-bg);\n}\n\n/* rtl:begin:ignore */\n.bs-tooltip-end .tooltip-arrow, .bs-tooltip-auto[data-popper-placement^=right] .tooltip-arrow {\n  left: calc(-1 * var(--bs-tooltip-arrow-height));\n  width: var(--bs-tooltip-arrow-height);\n  height: var(--bs-tooltip-arrow-width);\n}\n.bs-tooltip-end .tooltip-arrow::before, .bs-tooltip-auto[data-popper-placement^=right] .tooltip-arrow::before {\n  right: -1px;\n  border-width: calc(var(--bs-tooltip-arrow-width) * 0.5) var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width) * 0.5) 0;\n  border-right-color: var(--bs-tooltip-bg);\n}\n\n/* rtl:end:ignore */\n.bs-tooltip-bottom .tooltip-arrow, .bs-tooltip-auto[data-popper-placement^=bottom] .tooltip-arrow {\n  top: calc(-1 * var(--bs-tooltip-arrow-height));\n}\n.bs-tooltip-bottom .tooltip-arrow::before, .bs-tooltip-auto[data-popper-placement^=bottom] .tooltip-arrow::before {\n  bottom: -1px;\n  border-width: 0 calc(var(--bs-tooltip-arrow-width) * 0.5) var(--bs-tooltip-arrow-height);\n  border-bottom-color: var(--bs-tooltip-bg);\n}\n\n/* rtl:begin:ignore */\n.bs-tooltip-start .tooltip-arrow, .bs-tooltip-auto[data-popper-placement^=left] .tooltip-arrow {\n  right: calc(-1 * var(--bs-tooltip-arrow-height));\n  width: var(--bs-tooltip-arrow-height);\n  height: var(--bs-tooltip-arrow-width);\n}\n.bs-tooltip-start .tooltip-arrow::before, .bs-tooltip-auto[data-popper-placement^=left] .tooltip-arrow::before {\n  left: -1px;\n  border-width: calc(var(--bs-tooltip-arrow-width) * 0.5) 0 calc(var(--bs-tooltip-arrow-width) * 0.5) var(--bs-tooltip-arrow-height);\n  border-left-color: var(--bs-tooltip-bg);\n}\n\n/* rtl:end:ignore */\n.tooltip-inner {\n  max-width: var(--bs-tooltip-max-width);\n  padding: var(--bs-tooltip-padding-y) var(--bs-tooltip-padding-x);\n  color: var(--bs-tooltip-color);\n  text-align: center;\n  background-color: var(--bs-tooltip-bg);\n  border-radius: var(--bs-tooltip-border-radius);\n}\n\n.popover {\n  --bs-popover-zindex: 1070;\n  --bs-popover-max-width: 276px;\n  --bs-popover-font-size: 0.875rem;\n  --bs-popover-bg: var(--bs-body-bg);\n  --bs-popover-border-width: var(--bs-border-width);\n  --bs-popover-border-color: var(--bs-border-color-translucent);\n  --bs-popover-border-radius: var(--bs-border-radius-lg);\n  --bs-popover-inner-border-radius: calc(var(--bs-border-radius-lg) - var(--bs-border-width));\n  --bs-popover-box-shadow: var(--bs-box-shadow);\n  --bs-popover-header-padding-x: 1rem;\n  --bs-popover-header-padding-y: 0.5rem;\n  --bs-popover-header-font-size: 1rem;\n  --bs-popover-header-color: inherit;\n  --bs-popover-header-bg: var(--bs-secondary-bg);\n  --bs-popover-body-padding-x: 1rem;\n  --bs-popover-body-padding-y: 1rem;\n  --bs-popover-body-color: var(--bs-body-color);\n  --bs-popover-arrow-width: 1rem;\n  --bs-popover-arrow-height: 0.5rem;\n  --bs-popover-arrow-border: var(--bs-popover-border-color);\n  z-index: var(--bs-popover-zindex);\n  display: block;\n  max-width: var(--bs-popover-max-width);\n  font-family: var(--bs-font-sans-serif);\n  font-style: normal;\n  font-weight: 400;\n  line-height: 1.5;\n  text-align: left;\n  text-align: start;\n  text-decoration: none;\n  text-shadow: none;\n  text-transform: none;\n  letter-spacing: normal;\n  word-break: normal;\n  white-space: normal;\n  word-spacing: normal;\n  line-break: auto;\n  font-size: var(--bs-popover-font-size);\n  word-wrap: break-word;\n  background-color: var(--bs-popover-bg);\n  background-clip: padding-box;\n  border: var(--bs-popover-border-width) solid var(--bs-popover-border-color);\n  border-radius: var(--bs-popover-border-radius);\n}\n.popover .popover-arrow {\n  display: block;\n  width: var(--bs-popover-arrow-width);\n  height: var(--bs-popover-arrow-height);\n}\n.popover .popover-arrow::before, .popover .popover-arrow::after {\n  position: absolute;\n  display: block;\n  content: \"\";\n  border-color: transparent;\n  border-style: solid;\n  border-width: 0;\n}\n\n.bs-popover-top > .popover-arrow, .bs-popover-auto[data-popper-placement^=top] > .popover-arrow {\n  bottom: calc(-1 * (var(--bs-popover-arrow-height)) - var(--bs-popover-border-width));\n}\n.bs-popover-top > .popover-arrow::before, .bs-popover-auto[data-popper-placement^=top] > .popover-arrow::before, .bs-popover-top > .popover-arrow::after, .bs-popover-auto[data-popper-placement^=top] > .popover-arrow::after {\n  border-width: var(--bs-popover-arrow-height) calc(var(--bs-popover-arrow-width) * 0.5) 0;\n}\n.bs-popover-top > .popover-arrow::before, .bs-popover-auto[data-popper-placement^=top] > .popover-arrow::before {\n  bottom: 0;\n  border-top-color: var(--bs-popover-arrow-border);\n}\n.bs-popover-top > .popover-arrow::after, .bs-popover-auto[data-popper-placement^=top] > .popover-arrow::after {\n  bottom: var(--bs-popover-border-width);\n  border-top-color: var(--bs-popover-bg);\n}\n\n/* rtl:begin:ignore */\n.bs-popover-end > .popover-arrow, .bs-popover-auto[data-popper-placement^=right] > .popover-arrow {\n  left: calc(-1 * (var(--bs-popover-arrow-height)) - var(--bs-popover-border-width));\n  width: var(--bs-popover-arrow-height);\n  height: var(--bs-popover-arrow-width);\n}\n.bs-popover-end > .popover-arrow::before, .bs-popover-auto[data-popper-placement^=right] > .popover-arrow::before, .bs-popover-end > .popover-arrow::after, .bs-popover-auto[data-popper-placement^=right] > .popover-arrow::after {\n  border-width: calc(var(--bs-popover-arrow-width) * 0.5) var(--bs-popover-arrow-height) calc(var(--bs-popover-arrow-width) * 0.5) 0;\n}\n.bs-popover-end > .popover-arrow::before, .bs-popover-auto[data-popper-placement^=right] > .popover-arrow::before {\n  left: 0;\n  border-right-color: var(--bs-popover-arrow-border);\n}\n.bs-popover-end > .popover-arrow::after, .bs-popover-auto[data-popper-placement^=right] > .popover-arrow::after {\n  left: var(--bs-popover-border-width);\n  border-right-color: var(--bs-popover-bg);\n}\n\n/* rtl:end:ignore */\n.bs-popover-bottom > .popover-arrow, .bs-popover-auto[data-popper-placement^=bottom] > .popover-arrow {\n  top: calc(-1 * (var(--bs-popover-arrow-height)) - var(--bs-popover-border-width));\n}\n.bs-popover-bottom > .popover-arrow::before, .bs-popover-auto[data-popper-placement^=bottom] > .popover-arrow::before, .bs-popover-bottom > .popover-arrow::after, .bs-popover-auto[data-popper-placement^=bottom] > .popover-arrow::after {\n  border-width: 0 calc(var(--bs-popover-arrow-width) * 0.5) var(--bs-popover-arrow-height);\n}\n.bs-popover-bottom > .popover-arrow::before, .bs-popover-auto[data-popper-placement^=bottom] > .popover-arrow::before {\n  top: 0;\n  border-bottom-color: var(--bs-popover-arrow-border);\n}\n.bs-popover-bottom > .popover-arrow::after, .bs-popover-auto[data-popper-placement^=bottom] > .popover-arrow::after {\n  top: var(--bs-popover-border-width);\n  border-bottom-color: var(--bs-popover-bg);\n}\n.bs-popover-bottom .popover-header::before, .bs-popover-auto[data-popper-placement^=bottom] .popover-header::before {\n  position: absolute;\n  top: 0;\n  left: 50%;\n  display: block;\n  width: var(--bs-popover-arrow-width);\n  margin-left: calc(-0.5 * var(--bs-popover-arrow-width));\n  content: \"\";\n  border-bottom: var(--bs-popover-border-width) solid var(--bs-popover-header-bg);\n}\n\n/* rtl:begin:ignore */\n.bs-popover-start > .popover-arrow, .bs-popover-auto[data-popper-placement^=left] > .popover-arrow {\n  right: calc(-1 * (var(--bs-popover-arrow-height)) - var(--bs-popover-border-width));\n  width: var(--bs-popover-arrow-height);\n  height: var(--bs-popover-arrow-width);\n}\n.bs-popover-start > .popover-arrow::before, .bs-popover-auto[data-popper-placement^=left] > .popover-arrow::before, .bs-popover-start > .popover-arrow::after, .bs-popover-auto[data-popper-placement^=left] > .popover-arrow::after {\n  border-width: calc(var(--bs-popover-arrow-width) * 0.5) 0 calc(var(--bs-popover-arrow-width) * 0.5) var(--bs-popover-arrow-height);\n}\n.bs-popover-start > .popover-arrow::before, .bs-popover-auto[data-popper-placement^=left] > .popover-arrow::before {\n  right: 0;\n  border-left-color: var(--bs-popover-arrow-border);\n}\n.bs-popover-start > .popover-arrow::after, .bs-popover-auto[data-popper-placement^=left] > .popover-arrow::after {\n  right: var(--bs-popover-border-width);\n  border-left-color: var(--bs-popover-bg);\n}\n\n/* rtl:end:ignore */\n.popover-header {\n  padding: var(--bs-popover-header-padding-y) var(--bs-popover-header-padding-x);\n  margin-bottom: 0;\n  font-size: var(--bs-popover-header-font-size);\n  color: var(--bs-popover-header-color);\n  background-color: var(--bs-popover-header-bg);\n  border-bottom: var(--bs-popover-border-width) solid var(--bs-popover-border-color);\n  border-top-left-radius: var(--bs-popover-inner-border-radius);\n  border-top-right-radius: var(--bs-popover-inner-border-radius);\n}\n.popover-header:empty {\n  display: none;\n}\n\n.popover-body {\n  padding: var(--bs-popover-body-padding-y) var(--bs-popover-body-padding-x);\n  color: var(--bs-popover-body-color);\n}\n\n.carousel {\n  position: relative;\n}\n\n.carousel.pointer-event {\n  touch-action: pan-y;\n}\n\n.carousel-inner {\n  position: relative;\n  width: 100%;\n  overflow: hidden;\n}\n.carousel-inner::after {\n  display: block;\n  clear: both;\n  content: \"\";\n}\n\n.carousel-item {\n  position: relative;\n  display: none;\n  float: left;\n  width: 100%;\n  margin-right: -100%;\n  backface-visibility: hidden;\n  transition: transform 0.6s ease-in-out;\n}\n@media (prefers-reduced-motion: reduce) {\n  .carousel-item {\n    transition: none;\n  }\n}\n\n.carousel-item.active,\n.carousel-item-next,\n.carousel-item-prev {\n  display: block;\n}\n\n.carousel-item-next:not(.carousel-item-start),\n.active.carousel-item-end {\n  transform: translateX(100%);\n}\n\n.carousel-item-prev:not(.carousel-item-end),\n.active.carousel-item-start {\n  transform: translateX(-100%);\n}\n\n.carousel-fade .carousel-item {\n  opacity: 0;\n  transition-property: opacity;\n  transform: none;\n}\n.carousel-fade .carousel-item.active,\n.carousel-fade .carousel-item-next.carousel-item-start,\n.carousel-fade .carousel-item-prev.carousel-item-end {\n  z-index: 1;\n  opacity: 1;\n}\n.carousel-fade .active.carousel-item-start,\n.carousel-fade .active.carousel-item-end {\n  z-index: 0;\n  opacity: 0;\n  transition: opacity 0s 0.6s;\n}\n@media (prefers-reduced-motion: reduce) {\n  .carousel-fade .active.carousel-item-start,\n  .carousel-fade .active.carousel-item-end {\n    transition: none;\n  }\n}\n\n.carousel-control-prev,\n.carousel-control-next {\n  position: absolute;\n  top: 0;\n  bottom: 0;\n  z-index: 1;\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  width: 15%;\n  padding: 0;\n  color: #fff;\n  text-align: center;\n  background: none;\n  border: 0;\n  opacity: 0.5;\n  transition: opacity 0.15s ease;\n}\n@media (prefers-reduced-motion: reduce) {\n  .carousel-control-prev,\n  .carousel-control-next {\n    transition: none;\n  }\n}\n.carousel-control-prev:hover, .carousel-control-prev:focus,\n.carousel-control-next:hover,\n.carousel-control-next:focus {\n  color: #fff;\n  text-decoration: none;\n  outline: 0;\n  opacity: 0.9;\n}\n\n.carousel-control-prev {\n  left: 0;\n}\n\n.carousel-control-next {\n  right: 0;\n}\n\n.carousel-control-prev-icon,\n.carousel-control-next-icon {\n  display: inline-block;\n  width: 2rem;\n  height: 2rem;\n  background-repeat: no-repeat;\n  background-position: 50%;\n  background-size: 100% 100%;\n}\n\n.carousel-control-prev-icon {\n  background-image: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23fff'%3e%3cpath d='M11.354 1.646a.5.5 0 0 1 0 .708L5.707 8l5.647 5.646a.5.5 0 0 1-.708.708l-6-6a.5.5 0 0 1 0-.708l6-6a.5.5 0 0 1 .708 0z'/%3e%3c/svg%3e\") /*rtl:url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23fff'%3e%3cpath d='M4.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L10.293 8 4.646 2.354a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e\")*/;\n}\n\n.carousel-control-next-icon {\n  background-image: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23fff'%3e%3cpath d='M4.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L10.293 8 4.646 2.354a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e\") /*rtl:url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23fff'%3e%3cpath d='M11.354 1.646a.5.5 0 0 1 0 .708L5.707 8l5.647 5.646a.5.5 0 0 1-.708.708l-6-6a.5.5 0 0 1 0-.708l6-6a.5.5 0 0 1 .708 0z'/%3e%3c/svg%3e\")*/;\n}\n\n.carousel-indicators {\n  position: absolute;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: 2;\n  display: flex;\n  justify-content: center;\n  padding: 0;\n  margin-right: 15%;\n  margin-bottom: 1rem;\n  margin-left: 15%;\n}\n.carousel-indicators [data-bs-target] {\n  box-sizing: content-box;\n  flex: 0 1 auto;\n  width: 30px;\n  height: 3px;\n  padding: 0;\n  margin-right: 3px;\n  margin-left: 3px;\n  text-indent: -999px;\n  cursor: pointer;\n  background-color: #fff;\n  background-clip: padding-box;\n  border: 0;\n  border-top: 10px solid transparent;\n  border-bottom: 10px solid transparent;\n  opacity: 0.5;\n  transition: opacity 0.6s ease;\n}\n@media (prefers-reduced-motion: reduce) {\n  .carousel-indicators [data-bs-target] {\n    transition: none;\n  }\n}\n.carousel-indicators .active {\n  opacity: 1;\n}\n\n.carousel-caption {\n  position: absolute;\n  right: 15%;\n  bottom: 1.25rem;\n  left: 15%;\n  padding-top: 1.25rem;\n  padding-bottom: 1.25rem;\n  color: #fff;\n  text-align: center;\n}\n\n.carousel-dark .carousel-control-prev-icon,\n.carousel-dark .carousel-control-next-icon {\n  filter: invert(1) grayscale(100);\n}\n.carousel-dark .carousel-indicators [data-bs-target] {\n  background-color: #000;\n}\n.carousel-dark .carousel-caption {\n  color: #000;\n}\n\n[data-bs-theme=dark] .carousel .carousel-control-prev-icon,\n[data-bs-theme=dark] .carousel .carousel-control-next-icon, [data-bs-theme=dark].carousel .carousel-control-prev-icon,\n[data-bs-theme=dark].carousel .carousel-control-next-icon {\n  filter: invert(1) grayscale(100);\n}\n[data-bs-theme=dark] .carousel .carousel-indicators [data-bs-target], [data-bs-theme=dark].carousel .carousel-indicators [data-bs-target] {\n  background-color: #000;\n}\n[data-bs-theme=dark] .carousel .carousel-caption, [data-bs-theme=dark].carousel .carousel-caption {\n  color: #000;\n}\n\n.spinner-grow,\n.spinner-border {\n  display: inline-block;\n  width: var(--bs-spinner-width);\n  height: var(--bs-spinner-height);\n  vertical-align: var(--bs-spinner-vertical-align);\n  border-radius: 50%;\n  animation: var(--bs-spinner-animation-speed) linear infinite var(--bs-spinner-animation-name);\n}\n\n@keyframes spinner-border {\n  to {\n    transform: rotate(360deg) /* rtl:ignore */;\n  }\n}\n.spinner-border {\n  --bs-spinner-width: 2rem;\n  --bs-spinner-height: 2rem;\n  --bs-spinner-vertical-align: -0.125em;\n  --bs-spinner-border-width: 0.25em;\n  --bs-spinner-animation-speed: 0.75s;\n  --bs-spinner-animation-name: spinner-border;\n  border: var(--bs-spinner-border-width) solid currentcolor;\n  border-right-color: transparent;\n}\n\n.spinner-border-sm {\n  --bs-spinner-width: 1rem;\n  --bs-spinner-height: 1rem;\n  --bs-spinner-border-width: 0.2em;\n}\n\n@keyframes spinner-grow {\n  0% {\n    transform: scale(0);\n  }\n  50% {\n    opacity: 1;\n    transform: none;\n  }\n}\n.spinner-grow {\n  --bs-spinner-width: 2rem;\n  --bs-spinner-height: 2rem;\n  --bs-spinner-vertical-align: -0.125em;\n  --bs-spinner-animation-speed: 0.75s;\n  --bs-spinner-animation-name: spinner-grow;\n  background-color: currentcolor;\n  opacity: 0;\n}\n\n.spinner-grow-sm {\n  --bs-spinner-width: 1rem;\n  --bs-spinner-height: 1rem;\n}\n\n@media (prefers-reduced-motion: reduce) {\n  .spinner-border,\n  .spinner-grow {\n    --bs-spinner-animation-speed: 1.5s;\n  }\n}\n.offcanvas, .offcanvas-xxl, .offcanvas-xl, .offcanvas-lg, .offcanvas-md, .offcanvas-sm {\n  --bs-offcanvas-zindex: 1045;\n  --bs-offcanvas-width: 400px;\n  --bs-offcanvas-height: 30vh;\n  --bs-offcanvas-padding-x: 1rem;\n  --bs-offcanvas-padding-y: 1rem;\n  --bs-offcanvas-color: var(--bs-body-color);\n  --bs-offcanvas-bg: var(--bs-body-bg);\n  --bs-offcanvas-border-width: var(--bs-border-width);\n  --bs-offcanvas-border-color: var(--bs-border-color-translucent);\n  --bs-offcanvas-box-shadow: var(--bs-box-shadow-sm);\n  --bs-offcanvas-transition: transform 0.3s ease-in-out;\n  --bs-offcanvas-title-line-height: 1.5;\n}\n\n@media (max-width: 575.98px) {\n  .offcanvas-sm {\n    position: fixed;\n    bottom: 0;\n    z-index: var(--bs-offcanvas-zindex);\n    display: flex;\n    flex-direction: column;\n    max-width: 100%;\n    color: var(--bs-offcanvas-color);\n    visibility: hidden;\n    background-color: var(--bs-offcanvas-bg);\n    background-clip: padding-box;\n    outline: 0;\n    transition: var(--bs-offcanvas-transition);\n  }\n}\n@media (max-width: 575.98px) and (prefers-reduced-motion: reduce) {\n  .offcanvas-sm {\n    transition: none;\n  }\n}\n@media (max-width: 575.98px) {\n  .offcanvas-sm.offcanvas-start {\n    top: 0;\n    left: 0;\n    width: var(--bs-offcanvas-width);\n    border-right: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateX(-100%);\n  }\n  .offcanvas-sm.offcanvas-end {\n    top: 0;\n    right: 0;\n    width: var(--bs-offcanvas-width);\n    border-left: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateX(100%);\n  }\n  .offcanvas-sm.offcanvas-top {\n    top: 0;\n    right: 0;\n    left: 0;\n    height: var(--bs-offcanvas-height);\n    max-height: 100%;\n    border-bottom: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateY(-100%);\n  }\n  .offcanvas-sm.offcanvas-bottom {\n    right: 0;\n    left: 0;\n    height: var(--bs-offcanvas-height);\n    max-height: 100%;\n    border-top: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateY(100%);\n  }\n  .offcanvas-sm.showing, .offcanvas-sm.show:not(.hiding) {\n    transform: none;\n  }\n  .offcanvas-sm.showing, .offcanvas-sm.hiding, .offcanvas-sm.show {\n    visibility: visible;\n  }\n}\n@media (min-width: 576px) {\n  .offcanvas-sm {\n    --bs-offcanvas-height: auto;\n    --bs-offcanvas-border-width: 0;\n    background-color: transparent !important;\n  }\n  .offcanvas-sm .offcanvas-header {\n    display: none;\n  }\n  .offcanvas-sm .offcanvas-body {\n    display: flex;\n    flex-grow: 0;\n    padding: 0;\n    overflow-y: visible;\n    background-color: transparent !important;\n  }\n}\n\n@media (max-width: 767.98px) {\n  .offcanvas-md {\n    position: fixed;\n    bottom: 0;\n    z-index: var(--bs-offcanvas-zindex);\n    display: flex;\n    flex-direction: column;\n    max-width: 100%;\n    color: var(--bs-offcanvas-color);\n    visibility: hidden;\n    background-color: var(--bs-offcanvas-bg);\n    background-clip: padding-box;\n    outline: 0;\n    transition: var(--bs-offcanvas-transition);\n  }\n}\n@media (max-width: 767.98px) and (prefers-reduced-motion: reduce) {\n  .offcanvas-md {\n    transition: none;\n  }\n}\n@media (max-width: 767.98px) {\n  .offcanvas-md.offcanvas-start {\n    top: 0;\n    left: 0;\n    width: var(--bs-offcanvas-width);\n    border-right: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateX(-100%);\n  }\n  .offcanvas-md.offcanvas-end {\n    top: 0;\n    right: 0;\n    width: var(--bs-offcanvas-width);\n    border-left: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateX(100%);\n  }\n  .offcanvas-md.offcanvas-top {\n    top: 0;\n    right: 0;\n    left: 0;\n    height: var(--bs-offcanvas-height);\n    max-height: 100%;\n    border-bottom: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateY(-100%);\n  }\n  .offcanvas-md.offcanvas-bottom {\n    right: 0;\n    left: 0;\n    height: var(--bs-offcanvas-height);\n    max-height: 100%;\n    border-top: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateY(100%);\n  }\n  .offcanvas-md.showing, .offcanvas-md.show:not(.hiding) {\n    transform: none;\n  }\n  .offcanvas-md.showing, .offcanvas-md.hiding, .offcanvas-md.show {\n    visibility: visible;\n  }\n}\n@media (min-width: 768px) {\n  .offcanvas-md {\n    --bs-offcanvas-height: auto;\n    --bs-offcanvas-border-width: 0;\n    background-color: transparent !important;\n  }\n  .offcanvas-md .offcanvas-header {\n    display: none;\n  }\n  .offcanvas-md .offcanvas-body {\n    display: flex;\n    flex-grow: 0;\n    padding: 0;\n    overflow-y: visible;\n    background-color: transparent !important;\n  }\n}\n\n@media (max-width: 991.98px) {\n  .offcanvas-lg {\n    position: fixed;\n    bottom: 0;\n    z-index: var(--bs-offcanvas-zindex);\n    display: flex;\n    flex-direction: column;\n    max-width: 100%;\n    color: var(--bs-offcanvas-color);\n    visibility: hidden;\n    background-color: var(--bs-offcanvas-bg);\n    background-clip: padding-box;\n    outline: 0;\n    transition: var(--bs-offcanvas-transition);\n  }\n}\n@media (max-width: 991.98px) and (prefers-reduced-motion: reduce) {\n  .offcanvas-lg {\n    transition: none;\n  }\n}\n@media (max-width: 991.98px) {\n  .offcanvas-lg.offcanvas-start {\n    top: 0;\n    left: 0;\n    width: var(--bs-offcanvas-width);\n    border-right: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateX(-100%);\n  }\n  .offcanvas-lg.offcanvas-end {\n    top: 0;\n    right: 0;\n    width: var(--bs-offcanvas-width);\n    border-left: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateX(100%);\n  }\n  .offcanvas-lg.offcanvas-top {\n    top: 0;\n    right: 0;\n    left: 0;\n    height: var(--bs-offcanvas-height);\n    max-height: 100%;\n    border-bottom: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateY(-100%);\n  }\n  .offcanvas-lg.offcanvas-bottom {\n    right: 0;\n    left: 0;\n    height: var(--bs-offcanvas-height);\n    max-height: 100%;\n    border-top: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateY(100%);\n  }\n  .offcanvas-lg.showing, .offcanvas-lg.show:not(.hiding) {\n    transform: none;\n  }\n  .offcanvas-lg.showing, .offcanvas-lg.hiding, .offcanvas-lg.show {\n    visibility: visible;\n  }\n}\n@media (min-width: 992px) {\n  .offcanvas-lg {\n    --bs-offcanvas-height: auto;\n    --bs-offcanvas-border-width: 0;\n    background-color: transparent !important;\n  }\n  .offcanvas-lg .offcanvas-header {\n    display: none;\n  }\n  .offcanvas-lg .offcanvas-body {\n    display: flex;\n    flex-grow: 0;\n    padding: 0;\n    overflow-y: visible;\n    background-color: transparent !important;\n  }\n}\n\n@media (max-width: 1199.98px) {\n  .offcanvas-xl {\n    position: fixed;\n    bottom: 0;\n    z-index: var(--bs-offcanvas-zindex);\n    display: flex;\n    flex-direction: column;\n    max-width: 100%;\n    color: var(--bs-offcanvas-color);\n    visibility: hidden;\n    background-color: var(--bs-offcanvas-bg);\n    background-clip: padding-box;\n    outline: 0;\n    transition: var(--bs-offcanvas-transition);\n  }\n}\n@media (max-width: 1199.98px) and (prefers-reduced-motion: reduce) {\n  .offcanvas-xl {\n    transition: none;\n  }\n}\n@media (max-width: 1199.98px) {\n  .offcanvas-xl.offcanvas-start {\n    top: 0;\n    left: 0;\n    width: var(--bs-offcanvas-width);\n    border-right: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateX(-100%);\n  }\n  .offcanvas-xl.offcanvas-end {\n    top: 0;\n    right: 0;\n    width: var(--bs-offcanvas-width);\n    border-left: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateX(100%);\n  }\n  .offcanvas-xl.offcanvas-top {\n    top: 0;\n    right: 0;\n    left: 0;\n    height: var(--bs-offcanvas-height);\n    max-height: 100%;\n    border-bottom: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateY(-100%);\n  }\n  .offcanvas-xl.offcanvas-bottom {\n    right: 0;\n    left: 0;\n    height: var(--bs-offcanvas-height);\n    max-height: 100%;\n    border-top: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateY(100%);\n  }\n  .offcanvas-xl.showing, .offcanvas-xl.show:not(.hiding) {\n    transform: none;\n  }\n  .offcanvas-xl.showing, .offcanvas-xl.hiding, .offcanvas-xl.show {\n    visibility: visible;\n  }\n}\n@media (min-width: 1200px) {\n  .offcanvas-xl {\n    --bs-offcanvas-height: auto;\n    --bs-offcanvas-border-width: 0;\n    background-color: transparent !important;\n  }\n  .offcanvas-xl .offcanvas-header {\n    display: none;\n  }\n  .offcanvas-xl .offcanvas-body {\n    display: flex;\n    flex-grow: 0;\n    padding: 0;\n    overflow-y: visible;\n    background-color: transparent !important;\n  }\n}\n\n@media (max-width: 1399.98px) {\n  .offcanvas-xxl {\n    position: fixed;\n    bottom: 0;\n    z-index: var(--bs-offcanvas-zindex);\n    display: flex;\n    flex-direction: column;\n    max-width: 100%;\n    color: var(--bs-offcanvas-color);\n    visibility: hidden;\n    background-color: var(--bs-offcanvas-bg);\n    background-clip: padding-box;\n    outline: 0;\n    transition: var(--bs-offcanvas-transition);\n  }\n}\n@media (max-width: 1399.98px) and (prefers-reduced-motion: reduce) {\n  .offcanvas-xxl {\n    transition: none;\n  }\n}\n@media (max-width: 1399.98px) {\n  .offcanvas-xxl.offcanvas-start {\n    top: 0;\n    left: 0;\n    width: var(--bs-offcanvas-width);\n    border-right: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateX(-100%);\n  }\n  .offcanvas-xxl.offcanvas-end {\n    top: 0;\n    right: 0;\n    width: var(--bs-offcanvas-width);\n    border-left: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateX(100%);\n  }\n  .offcanvas-xxl.offcanvas-top {\n    top: 0;\n    right: 0;\n    left: 0;\n    height: var(--bs-offcanvas-height);\n    max-height: 100%;\n    border-bottom: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateY(-100%);\n  }\n  .offcanvas-xxl.offcanvas-bottom {\n    right: 0;\n    left: 0;\n    height: var(--bs-offcanvas-height);\n    max-height: 100%;\n    border-top: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateY(100%);\n  }\n  .offcanvas-xxl.showing, .offcanvas-xxl.show:not(.hiding) {\n    transform: none;\n  }\n  .offcanvas-xxl.showing, .offcanvas-xxl.hiding, .offcanvas-xxl.show {\n    visibility: visible;\n  }\n}\n@media (min-width: 1400px) {\n  .offcanvas-xxl {\n    --bs-offcanvas-height: auto;\n    --bs-offcanvas-border-width: 0;\n    background-color: transparent !important;\n  }\n  .offcanvas-xxl .offcanvas-header {\n    display: none;\n  }\n  .offcanvas-xxl .offcanvas-body {\n    display: flex;\n    flex-grow: 0;\n    padding: 0;\n    overflow-y: visible;\n    background-color: transparent !important;\n  }\n}\n\n.offcanvas {\n  position: fixed;\n  bottom: 0;\n  z-index: var(--bs-offcanvas-zindex);\n  display: flex;\n  flex-direction: column;\n  max-width: 100%;\n  color: var(--bs-offcanvas-color);\n  visibility: hidden;\n  background-color: var(--bs-offcanvas-bg);\n  background-clip: padding-box;\n  outline: 0;\n  transition: var(--bs-offcanvas-transition);\n}\n@media (prefers-reduced-motion: reduce) {\n  .offcanvas {\n    transition: none;\n  }\n}\n.offcanvas.offcanvas-start {\n  top: 0;\n  left: 0;\n  width: var(--bs-offcanvas-width);\n  border-right: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n  transform: translateX(-100%);\n}\n.offcanvas.offcanvas-end {\n  top: 0;\n  right: 0;\n  width: var(--bs-offcanvas-width);\n  border-left: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n  transform: translateX(100%);\n}\n.offcanvas.offcanvas-top {\n  top: 0;\n  right: 0;\n  left: 0;\n  height: var(--bs-offcanvas-height);\n  max-height: 100%;\n  border-bottom: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n  transform: translateY(-100%);\n}\n.offcanvas.offcanvas-bottom {\n  right: 0;\n  left: 0;\n  height: var(--bs-offcanvas-height);\n  max-height: 100%;\n  border-top: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n  transform: translateY(100%);\n}\n.offcanvas.showing, .offcanvas.show:not(.hiding) {\n  transform: none;\n}\n.offcanvas.showing, .offcanvas.hiding, .offcanvas.show {\n  visibility: visible;\n}\n\n.offcanvas-backdrop {\n  position: fixed;\n  top: 0;\n  left: 0;\n  z-index: 1040;\n  width: 100vw;\n  height: 100vh;\n  background-color: #000;\n}\n.offcanvas-backdrop.fade {\n  opacity: 0;\n}\n.offcanvas-backdrop.show {\n  opacity: 0.5;\n}\n\n.offcanvas-header {\n  display: flex;\n  align-items: center;\n  padding: var(--bs-offcanvas-padding-y) var(--bs-offcanvas-padding-x);\n}\n.offcanvas-header .btn-close {\n  padding: calc(var(--bs-offcanvas-padding-y) * 0.5) calc(var(--bs-offcanvas-padding-x) * 0.5);\n  margin: calc(-0.5 * var(--bs-offcanvas-padding-y)) calc(-0.5 * var(--bs-offcanvas-padding-x)) calc(-0.5 * var(--bs-offcanvas-padding-y)) auto;\n}\n\n.offcanvas-title {\n  margin-bottom: 0;\n  line-height: var(--bs-offcanvas-title-line-height);\n}\n\n.offcanvas-body {\n  flex-grow: 1;\n  padding: var(--bs-offcanvas-padding-y) var(--bs-offcanvas-padding-x);\n  overflow-y: auto;\n}\n\n.placeholder {\n  display: inline-block;\n  min-height: 1em;\n  vertical-align: middle;\n  cursor: wait;\n  background-color: currentcolor;\n  opacity: 0.5;\n}\n.placeholder.btn::before {\n  display: inline-block;\n  content: \"\";\n}\n\n.placeholder-xs {\n  min-height: 0.6em;\n}\n\n.placeholder-sm {\n  min-height: 0.8em;\n}\n\n.placeholder-lg {\n  min-height: 1.2em;\n}\n\n.placeholder-glow .placeholder {\n  animation: placeholder-glow 2s ease-in-out infinite;\n}\n\n@keyframes placeholder-glow {\n  50% {\n    opacity: 0.2;\n  }\n}\n.placeholder-wave {\n  mask-image: linear-gradient(130deg, #000 55%, rgba(0, 0, 0, 0.8) 75%, #000 95%);\n  mask-size: 200% 100%;\n  animation: placeholder-wave 2s linear infinite;\n}\n\n@keyframes placeholder-wave {\n  100% {\n    mask-position: -200% 0%;\n  }\n}\n.clearfix::after {\n  display: block;\n  clear: both;\n  content: \"\";\n}\n\n.text-bg-primary {\n  color: #fff !important;\n  background-color: RGBA(var(--bs-primary-rgb), var(--bs-bg-opacity, 1)) !important;\n}\n\n.text-bg-secondary {\n  color: #fff !important;\n  background-color: RGBA(var(--bs-secondary-rgb), var(--bs-bg-opacity, 1)) !important;\n}\n\n.text-bg-success {\n  color: #fff !important;\n  background-color: RGBA(var(--bs-success-rgb), var(--bs-bg-opacity, 1)) !important;\n}\n\n.text-bg-info {\n  color: #000 !important;\n  background-color: RGBA(var(--bs-info-rgb), var(--bs-bg-opacity, 1)) !important;\n}\n\n.text-bg-warning {\n  color: #000 !important;\n  background-color: RGBA(var(--bs-warning-rgb), var(--bs-bg-opacity, 1)) !important;\n}\n\n.text-bg-danger {\n  color: #fff !important;\n  background-color: RGBA(var(--bs-danger-rgb), var(--bs-bg-opacity, 1)) !important;\n}\n\n.text-bg-light {\n  color: #000 !important;\n  background-color: RGBA(var(--bs-light-rgb), var(--bs-bg-opacity, 1)) !important;\n}\n\n.text-bg-dark {\n  color: #fff !important;\n  background-color: RGBA(var(--bs-dark-rgb), var(--bs-bg-opacity, 1)) !important;\n}\n\n.link-primary {\n  color: RGBA(var(--bs-primary-rgb), var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(var(--bs-primary-rgb), var(--bs-link-underline-opacity, 1)) !important;\n}\n.link-primary:hover, .link-primary:focus {\n  color: RGBA(10, 88, 202, var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(10, 88, 202, var(--bs-link-underline-opacity, 1)) !important;\n}\n\n.link-secondary {\n  color: RGBA(var(--bs-secondary-rgb), var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(var(--bs-secondary-rgb), var(--bs-link-underline-opacity, 1)) !important;\n}\n.link-secondary:hover, .link-secondary:focus {\n  color: RGBA(86, 94, 100, var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(86, 94, 100, var(--bs-link-underline-opacity, 1)) !important;\n}\n\n.link-success {\n  color: RGBA(var(--bs-success-rgb), var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(var(--bs-success-rgb), var(--bs-link-underline-opacity, 1)) !important;\n}\n.link-success:hover, .link-success:focus {\n  color: RGBA(20, 108, 67, var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(20, 108, 67, var(--bs-link-underline-opacity, 1)) !important;\n}\n\n.link-info {\n  color: RGBA(var(--bs-info-rgb), var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(var(--bs-info-rgb), var(--bs-link-underline-opacity, 1)) !important;\n}\n.link-info:hover, .link-info:focus {\n  color: RGBA(61, 213, 243, var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(61, 213, 243, var(--bs-link-underline-opacity, 1)) !important;\n}\n\n.link-warning {\n  color: RGBA(var(--bs-warning-rgb), var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(var(--bs-warning-rgb), var(--bs-link-underline-opacity, 1)) !important;\n}\n.link-warning:hover, .link-warning:focus {\n  color: RGBA(255, 205, 57, var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(255, 205, 57, var(--bs-link-underline-opacity, 1)) !important;\n}\n\n.link-danger {\n  color: RGBA(var(--bs-danger-rgb), var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(var(--bs-danger-rgb), var(--bs-link-underline-opacity, 1)) !important;\n}\n.link-danger:hover, .link-danger:focus {\n  color: RGBA(176, 42, 55, var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(176, 42, 55, var(--bs-link-underline-opacity, 1)) !important;\n}\n\n.link-light {\n  color: RGBA(var(--bs-light-rgb), var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(var(--bs-light-rgb), var(--bs-link-underline-opacity, 1)) !important;\n}\n.link-light:hover, .link-light:focus {\n  color: RGBA(249, 250, 251, var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(249, 250, 251, var(--bs-link-underline-opacity, 1)) !important;\n}\n\n.link-dark {\n  color: RGBA(var(--bs-dark-rgb), var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(var(--bs-dark-rgb), var(--bs-link-underline-opacity, 1)) !important;\n}\n.link-dark:hover, .link-dark:focus {\n  color: RGBA(26, 30, 33, var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(26, 30, 33, var(--bs-link-underline-opacity, 1)) !important;\n}\n\n.link-body-emphasis {\n  color: RGBA(var(--bs-emphasis-color-rgb), var(--bs-link-opacity, 1)) !important;\n  text-decoration-color: RGBA(var(--bs-emphasis-color-rgb), var(--bs-link-underline-opacity, 1)) !important;\n}\n.link-body-emphasis:hover, .link-body-emphasis:focus {\n  color: RGBA(var(--bs-emphasis-color-rgb), var(--bs-link-opacity, 0.75)) !important;\n  text-decoration-color: RGBA(var(--bs-emphasis-color-rgb), var(--bs-link-underline-opacity, 0.75)) !important;\n}\n\n.focus-ring:focus {\n  outline: 0;\n  box-shadow: var(--bs-focus-ring-x, 0) var(--bs-focus-ring-y, 0) var(--bs-focus-ring-blur, 0) var(--bs-focus-ring-width) var(--bs-focus-ring-color);\n}\n\n.icon-link {\n  display: inline-flex;\n  gap: 0.375rem;\n  align-items: center;\n  text-decoration-color: rgba(var(--bs-link-color-rgb), var(--bs-link-opacity, 0.5));\n  text-underline-offset: 0.25em;\n  backface-visibility: hidden;\n}\n.icon-link > .bi {\n  flex-shrink: 0;\n  width: 1em;\n  height: 1em;\n  fill: currentcolor;\n  transition: 0.2s ease-in-out transform;\n}\n@media (prefers-reduced-motion: reduce) {\n  .icon-link > .bi {\n    transition: none;\n  }\n}\n\n.icon-link-hover:hover > .bi, .icon-link-hover:focus-visible > .bi {\n  transform: var(--bs-icon-link-transform, translate3d(0.25em, 0, 0));\n}\n\n.ratio {\n  position: relative;\n  width: 100%;\n}\n.ratio::before {\n  display: block;\n  padding-top: var(--bs-aspect-ratio);\n  content: \"\";\n}\n.ratio > * {\n  position: absolute;\n  top: 0;\n  left: 0;\n  width: 100%;\n  height: 100%;\n}\n\n.ratio-1x1 {\n  --bs-aspect-ratio: 100%;\n}\n\n.ratio-4x3 {\n  --bs-aspect-ratio: 75%;\n}\n\n.ratio-16x9 {\n  --bs-aspect-ratio: 56.25%;\n}\n\n.ratio-21x9 {\n  --bs-aspect-ratio: 42.8571428571%;\n}\n\n.fixed-top {\n  position: fixed;\n  top: 0;\n  right: 0;\n  left: 0;\n  z-index: 1030;\n}\n\n.fixed-bottom {\n  position: fixed;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: 1030;\n}\n\n.sticky-top {\n  position: sticky;\n  top: 0;\n  z-index: 1020;\n}\n\n.sticky-bottom {\n  position: sticky;\n  bottom: 0;\n  z-index: 1020;\n}\n\n@media (min-width: 576px) {\n  .sticky-sm-top {\n    position: sticky;\n    top: 0;\n    z-index: 1020;\n  }\n  .sticky-sm-bottom {\n    position: sticky;\n    bottom: 0;\n    z-index: 1020;\n  }\n}\n@media (min-width: 768px) {\n  .sticky-md-top {\n    position: sticky;\n    top: 0;\n    z-index: 1020;\n  }\n  .sticky-md-bottom {\n    position: sticky;\n    bottom: 0;\n    z-index: 1020;\n  }\n}\n@media (min-width: 992px) {\n  .sticky-lg-top {\n    position: sticky;\n    top: 0;\n    z-index: 1020;\n  }\n  .sticky-lg-bottom {\n    position: sticky;\n    bottom: 0;\n    z-index: 1020;\n  }\n}\n@media (min-width: 1200px) {\n  .sticky-xl-top {\n    position: sticky;\n    top: 0;\n    z-index: 1020;\n  }\n  .sticky-xl-bottom {\n    position: sticky;\n    bottom: 0;\n    z-index: 1020;\n  }\n}\n@media (min-width: 1400px) {\n  .sticky-xxl-top {\n    position: sticky;\n    top: 0;\n    z-index: 1020;\n  }\n  .sticky-xxl-bottom {\n    position: sticky;\n    bottom: 0;\n    z-index: 1020;\n  }\n}\n.hstack {\n  display: flex;\n  flex-direction: row;\n  align-items: center;\n  align-self: stretch;\n}\n\n.vstack {\n  display: flex;\n  flex: 1 1 auto;\n  flex-direction: column;\n  align-self: stretch;\n}\n\n.visually-hidden,\n.visually-hidden-focusable:not(:focus):not(:focus-within) {\n  width: 1px !important;\n  height: 1px !important;\n  padding: 0 !important;\n  margin: -1px !important;\n  overflow: hidden !important;\n  clip: rect(0, 0, 0, 0) !important;\n  white-space: nowrap !important;\n  border: 0 !important;\n}\n.visually-hidden:not(caption),\n.visually-hidden-focusable:not(:focus):not(:focus-within):not(caption) {\n  position: absolute !important;\n}\n\n.stretched-link::after {\n  position: absolute;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: 1;\n  content: \"\";\n}\n\n.text-truncate {\n  overflow: hidden;\n  text-overflow: ellipsis;\n  white-space: nowrap;\n}\n\n.vr {\n  display: inline-block;\n  align-self: stretch;\n  width: var(--bs-border-width);\n  min-height: 1em;\n  background-color: currentcolor;\n  opacity: 0.25;\n}\n\n.align-baseline {\n  vertical-align: baseline !important;\n}\n\n.align-top {\n  vertical-align: top !important;\n}\n\n.align-middle {\n  vertical-align: middle !important;\n}\n\n.align-bottom {\n  vertical-align: bottom !important;\n}\n\n.align-text-bottom {\n  vertical-align: text-bottom !important;\n}\n\n.align-text-top {\n  vertical-align: text-top !important;\n}\n\n.float-start {\n  float: left !important;\n}\n\n.float-end {\n  float: right !important;\n}\n\n.float-none {\n  float: none !important;\n}\n\n.object-fit-contain {\n  object-fit: contain !important;\n}\n\n.object-fit-cover {\n  object-fit: cover !important;\n}\n\n.object-fit-fill {\n  object-fit: fill !important;\n}\n\n.object-fit-scale {\n  object-fit: scale-down !important;\n}\n\n.object-fit-none {\n  object-fit: none !important;\n}\n\n.opacity-0 {\n  opacity: 0 !important;\n}\n\n.opacity-25 {\n  opacity: 0.25 !important;\n}\n\n.opacity-50 {\n  opacity: 0.5 !important;\n}\n\n.opacity-75 {\n  opacity: 0.75 !important;\n}\n\n.opacity-100 {\n  opacity: 1 !important;\n}\n\n.overflow-auto {\n  overflow: auto !important;\n}\n\n.overflow-hidden {\n  overflow: hidden !important;\n}\n\n.overflow-visible {\n  overflow: visible !important;\n}\n\n.overflow-scroll {\n  overflow: scroll !important;\n}\n\n.overflow-x-auto {\n  overflow-x: auto !important;\n}\n\n.overflow-x-hidden {\n  overflow-x: hidden !important;\n}\n\n.overflow-x-visible {\n  overflow-x: visible !important;\n}\n\n.overflow-x-scroll {\n  overflow-x: scroll !important;\n}\n\n.overflow-y-auto {\n  overflow-y: auto !important;\n}\n\n.overflow-y-hidden {\n  overflow-y: hidden !important;\n}\n\n.overflow-y-visible {\n  overflow-y: visible !important;\n}\n\n.overflow-y-scroll {\n  overflow-y: scroll !important;\n}\n\n.d-inline {\n  display: inline !important;\n}\n\n.d-inline-block {\n  display: inline-block !important;\n}\n\n.d-block {\n  display: block !important;\n}\n\n.d-grid {\n  display: grid !important;\n}\n\n.d-inline-grid {\n  display: inline-grid !important;\n}\n\n.d-table {\n  display: table !important;\n}\n\n.d-table-row {\n  display: table-row !important;\n}\n\n.d-table-cell {\n  display: table-cell !important;\n}\n\n.d-flex {\n  display: flex !important;\n}\n\n.d-inline-flex {\n  display: inline-flex !important;\n}\n\n.d-none {\n  display: none !important;\n}\n\n.shadow {\n  box-shadow: var(--bs-box-shadow) !important;\n}\n\n.shadow-sm {\n  box-shadow: var(--bs-box-shadow-sm) !important;\n}\n\n.shadow-lg {\n  box-shadow: var(--bs-box-shadow-lg) !important;\n}\n\n.shadow-none {\n  box-shadow: none !important;\n}\n\n.focus-ring-primary {\n  --bs-focus-ring-color: rgba(var(--bs-primary-rgb), var(--bs-focus-ring-opacity));\n}\n\n.focus-ring-secondary {\n  --bs-focus-ring-color: rgba(var(--bs-secondary-rgb), var(--bs-focus-ring-opacity));\n}\n\n.focus-ring-success {\n  --bs-focus-ring-color: rgba(var(--bs-success-rgb), var(--bs-focus-ring-opacity));\n}\n\n.focus-ring-info {\n  --bs-focus-ring-color: rgba(var(--bs-info-rgb), var(--bs-focus-ring-opacity));\n}\n\n.focus-ring-warning {\n  --bs-focus-ring-color: rgba(var(--bs-warning-rgb), var(--bs-focus-ring-opacity));\n}\n\n.focus-ring-danger {\n  --bs-focus-ring-color: rgba(var(--bs-danger-rgb), var(--bs-focus-ring-opacity));\n}\n\n.focus-ring-light {\n  --bs-focus-ring-color: rgba(var(--bs-light-rgb), var(--bs-focus-ring-opacity));\n}\n\n.focus-ring-dark {\n  --bs-focus-ring-color: rgba(var(--bs-dark-rgb), var(--bs-focus-ring-opacity));\n}\n\n.position-static {\n  position: static !important;\n}\n\n.position-relative {\n  position: relative !important;\n}\n\n.position-absolute {\n  position: absolute !important;\n}\n\n.position-fixed {\n  position: fixed !important;\n}\n\n.position-sticky {\n  position: sticky !important;\n}\n\n.top-0 {\n  top: 0 !important;\n}\n\n.top-50 {\n  top: 50% !important;\n}\n\n.top-100 {\n  top: 100% !important;\n}\n\n.bottom-0 {\n  bottom: 0 !important;\n}\n\n.bottom-50 {\n  bottom: 50% !important;\n}\n\n.bottom-100 {\n  bottom: 100% !important;\n}\n\n.start-0 {\n  left: 0 !important;\n}\n\n.start-50 {\n  left: 50% !important;\n}\n\n.start-100 {\n  left: 100% !important;\n}\n\n.end-0 {\n  right: 0 !important;\n}\n\n.end-50 {\n  right: 50% !important;\n}\n\n.end-100 {\n  right: 100% !important;\n}\n\n.translate-middle {\n  transform: translate(-50%, -50%) !important;\n}\n\n.translate-middle-x {\n  transform: translateX(-50%) !important;\n}\n\n.translate-middle-y {\n  transform: translateY(-50%) !important;\n}\n\n.border {\n  border: var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important;\n}\n\n.border-0 {\n  border: 0 !important;\n}\n\n.border-top {\n  border-top: var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important;\n}\n\n.border-top-0 {\n  border-top: 0 !important;\n}\n\n.border-end {\n  border-right: var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important;\n}\n\n.border-end-0 {\n  border-right: 0 !important;\n}\n\n.border-bottom {\n  border-bottom: var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important;\n}\n\n.border-bottom-0 {\n  border-bottom: 0 !important;\n}\n\n.border-start {\n  border-left: var(--bs-border-width) var(--bs-border-style) var(--bs-border-color) !important;\n}\n\n.border-start-0 {\n  border-left: 0 !important;\n}\n\n.border-primary {\n  --bs-border-opacity: 1;\n  border-color: rgba(var(--bs-primary-rgb), var(--bs-border-opacity)) !important;\n}\n\n.border-secondary {\n  --bs-border-opacity: 1;\n  border-color: rgba(var(--bs-secondary-rgb), var(--bs-border-opacity)) !important;\n}\n\n.border-success {\n  --bs-border-opacity: 1;\n  border-color: rgba(var(--bs-success-rgb), var(--bs-border-opacity)) !important;\n}\n\n.border-info {\n  --bs-border-opacity: 1;\n  border-color: rgba(var(--bs-info-rgb), var(--bs-border-opacity)) !important;\n}\n\n.border-warning {\n  --bs-border-opacity: 1;\n  border-color: rgba(var(--bs-warning-rgb), var(--bs-border-opacity)) !important;\n}\n\n.border-danger {\n  --bs-border-opacity: 1;\n  border-color: rgba(var(--bs-danger-rgb), var(--bs-border-opacity)) !important;\n}\n\n.border-light {\n  --bs-border-opacity: 1;\n  border-color: rgba(var(--bs-light-rgb), var(--bs-border-opacity)) !important;\n}\n\n.border-dark {\n  --bs-border-opacity: 1;\n  border-color: rgba(var(--bs-dark-rgb), var(--bs-border-opacity)) !important;\n}\n\n.border-black {\n  --bs-border-opacity: 1;\n  border-color: rgba(var(--bs-black-rgb), var(--bs-border-opacity)) !important;\n}\n\n.border-white {\n  --bs-border-opacity: 1;\n  border-color: rgba(var(--bs-white-rgb), var(--bs-border-opacity)) !important;\n}\n\n.border-primary-subtle {\n  border-color: var(--bs-primary-border-subtle) !important;\n}\n\n.border-secondary-subtle {\n  border-color: var(--bs-secondary-border-subtle) !important;\n}\n\n.border-success-subtle {\n  border-color: var(--bs-success-border-subtle) !important;\n}\n\n.border-info-subtle {\n  border-color: var(--bs-info-border-subtle) !important;\n}\n\n.border-warning-subtle {\n  border-color: var(--bs-warning-border-subtle) !important;\n}\n\n.border-danger-subtle {\n  border-color: var(--bs-danger-border-subtle) !important;\n}\n\n.border-light-subtle {\n  border-color: var(--bs-light-border-subtle) !important;\n}\n\n.border-dark-subtle {\n  border-color: var(--bs-dark-border-subtle) !important;\n}\n\n.border-1 {\n  border-width: 1px !important;\n}\n\n.border-2 {\n  border-width: 2px !important;\n}\n\n.border-3 {\n  border-width: 3px !important;\n}\n\n.border-4 {\n  border-width: 4px !important;\n}\n\n.border-5 {\n  border-width: 5px !important;\n}\n\n.border-opacity-10 {\n  --bs-border-opacity: 0.1;\n}\n\n.border-opacity-25 {\n  --bs-border-opacity: 0.25;\n}\n\n.border-opacity-50 {\n  --bs-border-opacity: 0.5;\n}\n\n.border-opacity-75 {\n  --bs-border-opacity: 0.75;\n}\n\n.border-opacity-100 {\n  --bs-border-opacity: 1;\n}\n\n.w-25 {\n  width: 25% !important;\n}\n\n.w-50 {\n  width: 50% !important;\n}\n\n.w-75 {\n  width: 75% !important;\n}\n\n.w-100 {\n  width: 100% !important;\n}\n\n.w-auto {\n  width: auto !important;\n}\n\n.mw-100 {\n  max-width: 100% !important;\n}\n\n.vw-100 {\n  width: 100vw !important;\n}\n\n.min-vw-100 {\n  min-width: 100vw !important;\n}\n\n.h-25 {\n  height: 25% !important;\n}\n\n.h-50 {\n  height: 50% !important;\n}\n\n.h-75 {\n  height: 75% !important;\n}\n\n.h-100 {\n  height: 100% !important;\n}\n\n.h-auto {\n  height: auto !important;\n}\n\n.mh-100 {\n  max-height: 100% !important;\n}\n\n.vh-100 {\n  height: 100vh !important;\n}\n\n.min-vh-100 {\n  min-height: 100vh !important;\n}\n\n.flex-fill {\n  flex: 1 1 auto !important;\n}\n\n.flex-row {\n  flex-direction: row !important;\n}\n\n.flex-column {\n  flex-direction: column !important;\n}\n\n.flex-row-reverse {\n  flex-direction: row-reverse !important;\n}\n\n.flex-column-reverse {\n  flex-direction: column-reverse !important;\n}\n\n.flex-grow-0 {\n  flex-grow: 0 !important;\n}\n\n.flex-grow-1 {\n  flex-grow: 1 !important;\n}\n\n.flex-shrink-0 {\n  flex-shrink: 0 !important;\n}\n\n.flex-shrink-1 {\n  flex-shrink: 1 !important;\n}\n\n.flex-wrap {\n  flex-wrap: wrap !important;\n}\n\n.flex-nowrap {\n  flex-wrap: nowrap !important;\n}\n\n.flex-wrap-reverse {\n  flex-wrap: wrap-reverse !important;\n}\n\n.justify-content-start {\n  justify-content: flex-start !important;\n}\n\n.justify-content-end {\n  justify-content: flex-end !important;\n}\n\n.justify-content-center {\n  justify-content: center !important;\n}\n\n.justify-content-between {\n  justify-content: space-between !important;\n}\n\n.justify-content-around {\n  justify-content: space-around !important;\n}\n\n.justify-content-evenly {\n  justify-content: space-evenly !important;\n}\n\n.align-items-start {\n  align-items: flex-start !important;\n}\n\n.align-items-end {\n  align-items: flex-end !important;\n}\n\n.align-items-center {\n  align-items: center !important;\n}\n\n.align-items-baseline {\n  align-items: baseline !important;\n}\n\n.align-items-stretch {\n  align-items: stretch !important;\n}\n\n.align-content-start {\n  align-content: flex-start !important;\n}\n\n.align-content-end {\n  align-content: flex-end !important;\n}\n\n.align-content-center {\n  align-content: center !important;\n}\n\n.align-content-between {\n  align-content: space-between !important;\n}\n\n.align-content-around {\n  align-content: space-around !important;\n}\n\n.align-content-stretch {\n  align-content: stretch !important;\n}\n\n.align-self-auto {\n  align-self: auto !important;\n}\n\n.align-self-start {\n  align-self: flex-start !important;\n}\n\n.align-self-end {\n  align-self: flex-end !important;\n}\n\n.align-self-center {\n  align-self: center !important;\n}\n\n.align-self-baseline {\n  align-self: baseline !important;\n}\n\n.align-self-stretch {\n  align-self: stretch !important;\n}\n\n.order-first {\n  order: -1 !important;\n}\n\n.order-0 {\n  order: 0 !important;\n}\n\n.order-1 {\n  order: 1 !important;\n}\n\n.order-2 {\n  order: 2 !important;\n}\n\n.order-3 {\n  order: 3 !important;\n}\n\n.order-4 {\n  order: 4 !important;\n}\n\n.order-5 {\n  order: 5 !important;\n}\n\n.order-last {\n  order: 6 !important;\n}\n\n.m-0 {\n  margin: 0 !important;\n}\n\n.m-1 {\n  margin: 0.25rem !important;\n}\n\n.m-2 {\n  margin: 0.5rem !important;\n}\n\n.m-3 {\n  margin: 1rem !important;\n}\n\n.m-4 {\n  margin: 1.5rem !important;\n}\n\n.m-5 {\n  margin: 3rem !important;\n}\n\n.m-auto {\n  margin: auto !important;\n}\n\n.mx-0 {\n  margin-right: 0 !important;\n  margin-left: 0 !important;\n}\n\n.mx-1 {\n  margin-right: 0.25rem !important;\n  margin-left: 0.25rem !important;\n}\n\n.mx-2 {\n  margin-right: 0.5rem !important;\n  margin-left: 0.5rem !important;\n}\n\n.mx-3 {\n  margin-right: 1rem !important;\n  margin-left: 1rem !important;\n}\n\n.mx-4 {\n  margin-right: 1.5rem !important;\n  margin-left: 1.5rem !important;\n}\n\n.mx-5 {\n  margin-right: 3rem !important;\n  margin-left: 3rem !important;\n}\n\n.mx-auto {\n  margin-right: auto !important;\n  margin-left: auto !important;\n}\n\n.my-0 {\n  margin-top: 0 !important;\n  margin-bottom: 0 !important;\n}\n\n.my-1 {\n  margin-top: 0.25rem !important;\n  margin-bottom: 0.25rem !important;\n}\n\n.my-2 {\n  margin-top: 0.5rem !important;\n  margin-bottom: 0.5rem !important;\n}\n\n.my-3 {\n  margin-top: 1rem !important;\n  margin-bottom: 1rem !important;\n}\n\n.my-4 {\n  margin-top: 1.5rem !important;\n  margin-bottom: 1.5rem !important;\n}\n\n.my-5 {\n  margin-top: 3rem !important;\n  margin-bottom: 3rem !important;\n}\n\n.my-auto {\n  margin-top: auto !important;\n  margin-bottom: auto !important;\n}\n\n.mt-0 {\n  margin-top: 0 !important;\n}\n\n.mt-1 {\n  margin-top: 0.25rem !important;\n}\n\n.mt-2 {\n  margin-top: 0.5rem !important;\n}\n\n.mt-3 {\n  margin-top: 1rem !important;\n}\n\n.mt-4 {\n  margin-top: 1.5rem !important;\n}\n\n.mt-5 {\n  margin-top: 3rem !important;\n}\n\n.mt-auto {\n  margin-top: auto !important;\n}\n\n.me-0 {\n  margin-right: 0 !important;\n}\n\n.me-1 {\n  margin-right: 0.25rem !important;\n}\n\n.me-2 {\n  margin-right: 0.5rem !important;\n}\n\n.me-3 {\n  margin-right: 1rem !important;\n}\n\n.me-4 {\n  margin-right: 1.5rem !important;\n}\n\n.me-5 {\n  margin-right: 3rem !important;\n}\n\n.me-auto {\n  margin-right: auto !important;\n}\n\n.mb-0 {\n  margin-bottom: 0 !important;\n}\n\n.mb-1 {\n  margin-bottom: 0.25rem !important;\n}\n\n.mb-2 {\n  margin-bottom: 0.5rem !important;\n}\n\n.mb-3 {\n  margin-bottom: 1rem !important;\n}\n\n.mb-4 {\n  margin-bottom: 1.5rem !important;\n}\n\n.mb-5 {\n  margin-bottom: 3rem !important;\n}\n\n.mb-auto {\n  margin-bottom: auto !important;\n}\n\n.ms-0 {\n  margin-left: 0 !important;\n}\n\n.ms-1 {\n  margin-left: 0.25rem !important;\n}\n\n.ms-2 {\n  margin-left: 0.5rem !important;\n}\n\n.ms-3 {\n  margin-left: 1rem !important;\n}\n\n.ms-4 {\n  margin-left: 1.5rem !important;\n}\n\n.ms-5 {\n  margin-left: 3rem !important;\n}\n\n.ms-auto {\n  margin-left: auto !important;\n}\n\n.p-0 {\n  padding: 0 !important;\n}\n\n.p-1 {\n  padding: 0.25rem !important;\n}\n\n.p-2 {\n  padding: 0.5rem !important;\n}\n\n.p-3 {\n  padding: 1rem !important;\n}\n\n.p-4 {\n  padding: 1.5rem !important;\n}\n\n.p-5 {\n  padding: 3rem !important;\n}\n\n.px-0 {\n  padding-right: 0 !important;\n  padding-left: 0 !important;\n}\n\n.px-1 {\n  padding-right: 0.25rem !important;\n  padding-left: 0.25rem !important;\n}\n\n.px-2 {\n  padding-right: 0.5rem !important;\n  padding-left: 0.5rem !important;\n}\n\n.px-3 {\n  padding-right: 1rem !important;\n  padding-left: 1rem !important;\n}\n\n.px-4 {\n  padding-right: 1.5rem !important;\n  padding-left: 1.5rem !important;\n}\n\n.px-5 {\n  padding-right: 3rem !important;\n  padding-left: 3rem !important;\n}\n\n.py-0 {\n  padding-top: 0 !important;\n  padding-bottom: 0 !important;\n}\n\n.py-1 {\n  padding-top: 0.25rem !important;\n  padding-bottom: 0.25rem !important;\n}\n\n.py-2 {\n  padding-top: 0.5rem !important;\n  padding-bottom: 0.5rem !important;\n}\n\n.py-3 {\n  padding-top: 1rem !important;\n  padding-bottom: 1rem !important;\n}\n\n.py-4 {\n  padding-top: 1.5rem !important;\n  padding-bottom: 1.5rem !important;\n}\n\n.py-5 {\n  padding-top: 3rem !important;\n  padding-bottom: 3rem !important;\n}\n\n.pt-0 {\n  padding-top: 0 !important;\n}\n\n.pt-1 {\n  padding-top: 0.25rem !important;\n}\n\n.pt-2 {\n  padding-top: 0.5rem !important;\n}\n\n.pt-3 {\n  padding-top: 1rem !important;\n}\n\n.pt-4 {\n  padding-top: 1.5rem !important;\n}\n\n.pt-5 {\n  padding-top: 3rem !important;\n}\n\n.pe-0 {\n  padding-right: 0 !important;\n}\n\n.pe-1 {\n  padding-right: 0.25rem !important;\n}\n\n.pe-2 {\n  padding-right: 0.5rem !important;\n}\n\n.pe-3 {\n  padding-right: 1rem !important;\n}\n\n.pe-4 {\n  padding-right: 1.5rem !important;\n}\n\n.pe-5 {\n  padding-right: 3rem !important;\n}\n\n.pb-0 {\n  padding-bottom: 0 !important;\n}\n\n.pb-1 {\n  padding-bottom: 0.25rem !important;\n}\n\n.pb-2 {\n  padding-bottom: 0.5rem !important;\n}\n\n.pb-3 {\n  padding-bottom: 1rem !important;\n}\n\n.pb-4 {\n  padding-bottom: 1.5rem !important;\n}\n\n.pb-5 {\n  padding-bottom: 3rem !important;\n}\n\n.ps-0 {\n  padding-left: 0 !important;\n}\n\n.ps-1 {\n  padding-left: 0.25rem !important;\n}\n\n.ps-2 {\n  padding-left: 0.5rem !important;\n}\n\n.ps-3 {\n  padding-left: 1rem !important;\n}\n\n.ps-4 {\n  padding-left: 1.5rem !important;\n}\n\n.ps-5 {\n  padding-left: 3rem !important;\n}\n\n.gap-0 {\n  gap: 0 !important;\n}\n\n.gap-1 {\n  gap: 0.25rem !important;\n}\n\n.gap-2 {\n  gap: 0.5rem !important;\n}\n\n.gap-3 {\n  gap: 1rem !important;\n}\n\n.gap-4 {\n  gap: 1.5rem !important;\n}\n\n.gap-5 {\n  gap: 3rem !important;\n}\n\n.row-gap-0 {\n  row-gap: 0 !important;\n}\n\n.row-gap-1 {\n  row-gap: 0.25rem !important;\n}\n\n.row-gap-2 {\n  row-gap: 0.5rem !important;\n}\n\n.row-gap-3 {\n  row-gap: 1rem !important;\n}\n\n.row-gap-4 {\n  row-gap: 1.5rem !important;\n}\n\n.row-gap-5 {\n  row-gap: 3rem !important;\n}\n\n.column-gap-0 {\n  column-gap: 0 !important;\n}\n\n.column-gap-1 {\n  column-gap: 0.25rem !important;\n}\n\n.column-gap-2 {\n  column-gap: 0.5rem !important;\n}\n\n.column-gap-3 {\n  column-gap: 1rem !important;\n}\n\n.column-gap-4 {\n  column-gap: 1.5rem !important;\n}\n\n.column-gap-5 {\n  column-gap: 3rem !important;\n}\n\n.font-monospace {\n  font-family: var(--bs-font-monospace) !important;\n}\n\n.fs-1 {\n  font-size: calc(1.375rem + 1.5vw) !important;\n}\n\n.fs-2 {\n  font-size: calc(1.325rem + 0.9vw) !important;\n}\n\n.fs-3 {\n  font-size: calc(1.3rem + 0.6vw) !important;\n}\n\n.fs-4 {\n  font-size: calc(1.275rem + 0.3vw) !important;\n}\n\n.fs-5 {\n  font-size: 1.25rem !important;\n}\n\n.fs-6 {\n  font-size: 1rem !important;\n}\n\n.fst-italic {\n  font-style: italic !important;\n}\n\n.fst-normal {\n  font-style: normal !important;\n}\n\n.fw-lighter {\n  font-weight: lighter !important;\n}\n\n.fw-light {\n  font-weight: 300 !important;\n}\n\n.fw-normal {\n  font-weight: 400 !important;\n}\n\n.fw-medium {\n  font-weight: 500 !important;\n}\n\n.fw-semibold {\n  font-weight: 600 !important;\n}\n\n.fw-bold {\n  font-weight: 700 !important;\n}\n\n.fw-bolder {\n  font-weight: bolder !important;\n}\n\n.lh-1 {\n  line-height: 1 !important;\n}\n\n.lh-sm {\n  line-height: 1.25 !important;\n}\n\n.lh-base {\n  line-height: 1.5 !important;\n}\n\n.lh-lg {\n  line-height: 2 !important;\n}\n\n.text-start {\n  text-align: left !important;\n}\n\n.text-end {\n  text-align: right !important;\n}\n\n.text-center {\n  text-align: center !important;\n}\n\n.text-decoration-none {\n  text-decoration: none !important;\n}\n\n.text-decoration-underline {\n  text-decoration: underline !important;\n}\n\n.text-decoration-line-through {\n  text-decoration: line-through !important;\n}\n\n.text-lowercase {\n  text-transform: lowercase !important;\n}\n\n.text-uppercase {\n  text-transform: uppercase !important;\n}\n\n.text-capitalize {\n  text-transform: capitalize !important;\n}\n\n.text-wrap {\n  white-space: normal !important;\n}\n\n.text-nowrap {\n  white-space: nowrap !important;\n}\n\n/* rtl:begin:remove */\n.text-break {\n  word-wrap: break-word !important;\n  word-break: break-word !important;\n}\n\n/* rtl:end:remove */\n.text-primary {\n  --bs-text-opacity: 1;\n  color: rgba(var(--bs-primary-rgb), var(--bs-text-opacity)) !important;\n}\n\n.text-secondary {\n  --bs-text-opacity: 1;\n  color: rgba(var(--bs-secondary-rgb), var(--bs-text-opacity)) !important;\n}\n\n.text-success {\n  --bs-text-opacity: 1;\n  color: rgba(var(--bs-success-rgb), var(--bs-text-opacity)) !important;\n}\n\n.text-info {\n  --bs-text-opacity: 1;\n  color: rgba(var(--bs-info-rgb), var(--bs-text-opacity)) !important;\n}\n\n.text-warning {\n  --bs-text-opacity: 1;\n  color: rgba(var(--bs-warning-rgb), var(--bs-text-opacity)) !important;\n}\n\n.text-danger {\n  --bs-text-opacity: 1;\n  color: rgba(var(--bs-danger-rgb), var(--bs-text-opacity)) !important;\n}\n\n.text-light {\n  --bs-text-opacity: 1;\n  color: rgba(var(--bs-light-rgb), var(--bs-text-opacity)) !important;\n}\n\n.text-dark {\n  --bs-text-opacity: 1;\n  color: rgba(var(--bs-dark-rgb), var(--bs-text-opacity)) !important;\n}\n\n.text-black {\n  --bs-text-opacity: 1;\n  color: rgba(var(--bs-black-rgb), var(--bs-text-opacity)) !important;\n}\n\n.text-white {\n  --bs-text-opacity: 1;\n  color: rgba(var(--bs-white-rgb), var(--bs-text-opacity)) !important;\n}\n\n.text-body {\n  --bs-text-opacity: 1;\n  color: rgba(var(--bs-body-color-rgb), var(--bs-text-opacity)) !important;\n}\n\n.text-muted {\n  --bs-text-opacity: 1;\n  color: var(--bs-secondary-color) !important;\n}\n\n.text-black-50 {\n  --bs-text-opacity: 1;\n  color: rgba(0, 0, 0, 0.5) !important;\n}\n\n.text-white-50 {\n  --bs-text-opacity: 1;\n  color: rgba(255, 255, 255, 0.5) !important;\n}\n\n.text-body-secondary {\n  --bs-text-opacity: 1;\n  color: var(--bs-secondary-color) !important;\n}\n\n.text-body-tertiary {\n  --bs-text-opacity: 1;\n  color: var(--bs-tertiary-color) !important;\n}\n\n.text-body-emphasis {\n  --bs-text-opacity: 1;\n  color: var(--bs-emphasis-color) !important;\n}\n\n.text-reset {\n  --bs-text-opacity: 1;\n  color: inherit !important;\n}\n\n.text-opacity-25 {\n  --bs-text-opacity: 0.25;\n}\n\n.text-opacity-50 {\n  --bs-text-opacity: 0.5;\n}\n\n.text-opacity-75 {\n  --bs-text-opacity: 0.75;\n}\n\n.text-opacity-100 {\n  --bs-text-opacity: 1;\n}\n\n.text-primary-emphasis {\n  color: var(--bs-primary-text-emphasis) !important;\n}\n\n.text-secondary-emphasis {\n  color: var(--bs-secondary-text-emphasis) !important;\n}\n\n.text-success-emphasis {\n  color: var(--bs-success-text-emphasis) !important;\n}\n\n.text-info-emphasis {\n  color: var(--bs-info-text-emphasis) !important;\n}\n\n.text-warning-emphasis {\n  color: var(--bs-warning-text-emphasis) !important;\n}\n\n.text-danger-emphasis {\n  color: var(--bs-danger-text-emphasis) !important;\n}\n\n.text-light-emphasis {\n  color: var(--bs-light-text-emphasis) !important;\n}\n\n.text-dark-emphasis {\n  color: var(--bs-dark-text-emphasis) !important;\n}\n\n.link-opacity-10 {\n  --bs-link-opacity: 0.1;\n}\n\n.link-opacity-10-hover:hover {\n  --bs-link-opacity: 0.1;\n}\n\n.link-opacity-25 {\n  --bs-link-opacity: 0.25;\n}\n\n.link-opacity-25-hover:hover {\n  --bs-link-opacity: 0.25;\n}\n\n.link-opacity-50 {\n  --bs-link-opacity: 0.5;\n}\n\n.link-opacity-50-hover:hover {\n  --bs-link-opacity: 0.5;\n}\n\n.link-opacity-75 {\n  --bs-link-opacity: 0.75;\n}\n\n.link-opacity-75-hover:hover {\n  --bs-link-opacity: 0.75;\n}\n\n.link-opacity-100 {\n  --bs-link-opacity: 1;\n}\n\n.link-opacity-100-hover:hover {\n  --bs-link-opacity: 1;\n}\n\n.link-offset-1 {\n  text-underline-offset: 0.125em !important;\n}\n\n.link-offset-1-hover:hover {\n  text-underline-offset: 0.125em !important;\n}\n\n.link-offset-2 {\n  text-underline-offset: 0.25em !important;\n}\n\n.link-offset-2-hover:hover {\n  text-underline-offset: 0.25em !important;\n}\n\n.link-offset-3 {\n  text-underline-offset: 0.375em !important;\n}\n\n.link-offset-3-hover:hover {\n  text-underline-offset: 0.375em !important;\n}\n\n.link-underline-primary {\n  --bs-link-underline-opacity: 1;\n  text-decoration-color: rgba(var(--bs-primary-rgb), var(--bs-link-underline-opacity)) !important;\n}\n\n.link-underline-secondary {\n  --bs-link-underline-opacity: 1;\n  text-decoration-color: rgba(var(--bs-secondary-rgb), var(--bs-link-underline-opacity)) !important;\n}\n\n.link-underline-success {\n  --bs-link-underline-opacity: 1;\n  text-decoration-color: rgba(var(--bs-success-rgb), var(--bs-link-underline-opacity)) !important;\n}\n\n.link-underline-info {\n  --bs-link-underline-opacity: 1;\n  text-decoration-color: rgba(var(--bs-info-rgb), var(--bs-link-underline-opacity)) !important;\n}\n\n.link-underline-warning {\n  --bs-link-underline-opacity: 1;\n  text-decoration-color: rgba(var(--bs-warning-rgb), var(--bs-link-underline-opacity)) !important;\n}\n\n.link-underline-danger {\n  --bs-link-underline-opacity: 1;\n  text-decoration-color: rgba(var(--bs-danger-rgb), var(--bs-link-underline-opacity)) !important;\n}\n\n.link-underline-light {\n  --bs-link-underline-opacity: 1;\n  text-decoration-color: rgba(var(--bs-light-rgb), var(--bs-link-underline-opacity)) !important;\n}\n\n.link-underline-dark {\n  --bs-link-underline-opacity: 1;\n  text-decoration-color: rgba(var(--bs-dark-rgb), var(--bs-link-underline-opacity)) !important;\n}\n\n.link-underline {\n  --bs-link-underline-opacity: 1;\n  text-decoration-color: rgba(var(--bs-link-color-rgb), var(--bs-link-underline-opacity, 1)) !important;\n}\n\n.link-underline-opacity-0 {\n  --bs-link-underline-opacity: 0;\n}\n\n.link-underline-opacity-0-hover:hover {\n  --bs-link-underline-opacity: 0;\n}\n\n.link-underline-opacity-10 {\n  --bs-link-underline-opacity: 0.1;\n}\n\n.link-underline-opacity-10-hover:hover {\n  --bs-link-underline-opacity: 0.1;\n}\n\n.link-underline-opacity-25 {\n  --bs-link-underline-opacity: 0.25;\n}\n\n.link-underline-opacity-25-hover:hover {\n  --bs-link-underline-opacity: 0.25;\n}\n\n.link-underline-opacity-50 {\n  --bs-link-underline-opacity: 0.5;\n}\n\n.link-underline-opacity-50-hover:hover {\n  --bs-link-underline-opacity: 0.5;\n}\n\n.link-underline-opacity-75 {\n  --bs-link-underline-opacity: 0.75;\n}\n\n.link-underline-opacity-75-hover:hover {\n  --bs-link-underline-opacity: 0.75;\n}\n\n.link-underline-opacity-100 {\n  --bs-link-underline-opacity: 1;\n}\n\n.link-underline-opacity-100-hover:hover {\n  --bs-link-underline-opacity: 1;\n}\n\n.bg-primary {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-primary-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-secondary {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-secondary-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-success {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-success-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-info {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-info-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-warning {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-warning-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-danger {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-danger-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-light {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-light-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-dark {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-dark-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-black {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-black-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-white {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-white-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-body {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-body-bg-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-transparent {\n  --bs-bg-opacity: 1;\n  background-color: transparent !important;\n}\n\n.bg-body-secondary {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-secondary-bg-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-body-tertiary {\n  --bs-bg-opacity: 1;\n  background-color: rgba(var(--bs-tertiary-bg-rgb), var(--bs-bg-opacity)) !important;\n}\n\n.bg-opacity-10 {\n  --bs-bg-opacity: 0.1;\n}\n\n.bg-opacity-25 {\n  --bs-bg-opacity: 0.25;\n}\n\n.bg-opacity-50 {\n  --bs-bg-opacity: 0.5;\n}\n\n.bg-opacity-75 {\n  --bs-bg-opacity: 0.75;\n}\n\n.bg-opacity-100 {\n  --bs-bg-opacity: 1;\n}\n\n.bg-primary-subtle {\n  background-color: var(--bs-primary-bg-subtle) !important;\n}\n\n.bg-secondary-subtle {\n  background-color: var(--bs-secondary-bg-subtle) !important;\n}\n\n.bg-success-subtle {\n  background-color: var(--bs-success-bg-subtle) !important;\n}\n\n.bg-info-subtle {\n  background-color: var(--bs-info-bg-subtle) !important;\n}\n\n.bg-warning-subtle {\n  background-color: var(--bs-warning-bg-subtle) !important;\n}\n\n.bg-danger-subtle {\n  background-color: var(--bs-danger-bg-subtle) !important;\n}\n\n.bg-light-subtle {\n  background-color: var(--bs-light-bg-subtle) !important;\n}\n\n.bg-dark-subtle {\n  background-color: var(--bs-dark-bg-subtle) !important;\n}\n\n.bg-gradient {\n  background-image: var(--bs-gradient) !important;\n}\n\n.user-select-all {\n  user-select: all !important;\n}\n\n.user-select-auto {\n  user-select: auto !important;\n}\n\n.user-select-none {\n  user-select: none !important;\n}\n\n.pe-none {\n  pointer-events: none !important;\n}\n\n.pe-auto {\n  pointer-events: auto !important;\n}\n\n.rounded {\n  border-radius: var(--bs-border-radius) !important;\n}\n\n.rounded-0 {\n  border-radius: 0 !important;\n}\n\n.rounded-1 {\n  border-radius: var(--bs-border-radius-sm) !important;\n}\n\n.rounded-2 {\n  border-radius: var(--bs-border-radius) !important;\n}\n\n.rounded-3 {\n  border-radius: var(--bs-border-radius-lg) !important;\n}\n\n.rounded-4 {\n  border-radius: var(--bs-border-radius-xl) !important;\n}\n\n.rounded-5 {\n  border-radius: var(--bs-border-radius-xxl) !important;\n}\n\n.rounded-circle {\n  border-radius: 50% !important;\n}\n\n.rounded-pill {\n  border-radius: var(--bs-border-radius-pill) !important;\n}\n\n.rounded-top {\n  border-top-left-radius: var(--bs-border-radius) !important;\n  border-top-right-radius: var(--bs-border-radius) !important;\n}\n\n.rounded-top-0 {\n  border-top-left-radius: 0 !important;\n  border-top-right-radius: 0 !important;\n}\n\n.rounded-top-1 {\n  border-top-left-radius: var(--bs-border-radius-sm) !important;\n  border-top-right-radius: var(--bs-border-radius-sm) !important;\n}\n\n.rounded-top-2 {\n  border-top-left-radius: var(--bs-border-radius) !important;\n  border-top-right-radius: var(--bs-border-radius) !important;\n}\n\n.rounded-top-3 {\n  border-top-left-radius: var(--bs-border-radius-lg) !important;\n  border-top-right-radius: var(--bs-border-radius-lg) !important;\n}\n\n.rounded-top-4 {\n  border-top-left-radius: var(--bs-border-radius-xl) !important;\n  border-top-right-radius: var(--bs-border-radius-xl) !important;\n}\n\n.rounded-top-5 {\n  border-top-left-radius: var(--bs-border-radius-xxl) !important;\n  border-top-right-radius: var(--bs-border-radius-xxl) !important;\n}\n\n.rounded-top-circle {\n  border-top-left-radius: 50% !important;\n  border-top-right-radius: 50% !important;\n}\n\n.rounded-top-pill {\n  border-top-left-radius: var(--bs-border-radius-pill) !important;\n  border-top-right-radius: var(--bs-border-radius-pill) !important;\n}\n\n.rounded-end {\n  border-top-right-radius: var(--bs-border-radius) !important;\n  border-bottom-right-radius: var(--bs-border-radius) !important;\n}\n\n.rounded-end-0 {\n  border-top-right-radius: 0 !important;\n  border-bottom-right-radius: 0 !important;\n}\n\n.rounded-end-1 {\n  border-top-right-radius: var(--bs-border-radius-sm) !important;\n  border-bottom-right-radius: var(--bs-border-radius-sm) !important;\n}\n\n.rounded-end-2 {\n  border-top-right-radius: var(--bs-border-radius) !important;\n  border-bottom-right-radius: var(--bs-border-radius) !important;\n}\n\n.rounded-end-3 {\n  border-top-right-radius: var(--bs-border-radius-lg) !important;\n  border-bottom-right-radius: var(--bs-border-radius-lg) !important;\n}\n\n.rounded-end-4 {\n  border-top-right-radius: var(--bs-border-radius-xl) !important;\n  border-bottom-right-radius: var(--bs-border-radius-xl) !important;\n}\n\n.rounded-end-5 {\n  border-top-right-radius: var(--bs-border-radius-xxl) !important;\n  border-bottom-right-radius: var(--bs-border-radius-xxl) !important;\n}\n\n.rounded-end-circle {\n  border-top-right-radius: 50% !important;\n  border-bottom-right-radius: 50% !important;\n}\n\n.rounded-end-pill {\n  border-top-right-radius: var(--bs-border-radius-pill) !important;\n  border-bottom-right-radius: var(--bs-border-radius-pill) !important;\n}\n\n.rounded-bottom {\n  border-bottom-right-radius: var(--bs-border-radius) !important;\n  border-bottom-left-radius: var(--bs-border-radius) !important;\n}\n\n.rounded-bottom-0 {\n  border-bottom-right-radius: 0 !important;\n  border-bottom-left-radius: 0 !important;\n}\n\n.rounded-bottom-1 {\n  border-bottom-right-radius: var(--bs-border-radius-sm) !important;\n  border-bottom-left-radius: var(--bs-border-radius-sm) !important;\n}\n\n.rounded-bottom-2 {\n  border-bottom-right-radius: var(--bs-border-radius) !important;\n  border-bottom-left-radius: var(--bs-border-radius) !important;\n}\n\n.rounded-bottom-3 {\n  border-bottom-right-radius: var(--bs-border-radius-lg) !important;\n  border-bottom-left-radius: var(--bs-border-radius-lg) !important;\n}\n\n.rounded-bottom-4 {\n  border-bottom-right-radius: var(--bs-border-radius-xl) !important;\n  border-bottom-left-radius: var(--bs-border-radius-xl) !important;\n}\n\n.rounded-bottom-5 {\n  border-bottom-right-radius: var(--bs-border-radius-xxl) !important;\n  border-bottom-left-radius: var(--bs-border-radius-xxl) !important;\n}\n\n.rounded-bottom-circle {\n  border-bottom-right-radius: 50% !important;\n  border-bottom-left-radius: 50% !important;\n}\n\n.rounded-bottom-pill {\n  border-bottom-right-radius: var(--bs-border-radius-pill) !important;\n  border-bottom-left-radius: var(--bs-border-radius-pill) !important;\n}\n\n.rounded-start {\n  border-bottom-left-radius: var(--bs-border-radius) !important;\n  border-top-left-radius: var(--bs-border-radius) !important;\n}\n\n.rounded-start-0 {\n  border-bottom-left-radius: 0 !important;\n  border-top-left-radius: 0 !important;\n}\n\n.rounded-start-1 {\n  border-bottom-left-radius: var(--bs-border-radius-sm) !important;\n  border-top-left-radius: var(--bs-border-radius-sm) !important;\n}\n\n.rounded-start-2 {\n  border-bottom-left-radius: var(--bs-border-radius) !important;\n  border-top-left-radius: var(--bs-border-radius) !important;\n}\n\n.rounded-start-3 {\n  border-bottom-left-radius: var(--bs-border-radius-lg) !important;\n  border-top-left-radius: var(--bs-border-radius-lg) !important;\n}\n\n.rounded-start-4 {\n  border-bottom-left-radius: var(--bs-border-radius-xl) !important;\n  border-top-left-radius: var(--bs-border-radius-xl) !important;\n}\n\n.rounded-start-5 {\n  border-bottom-left-radius: var(--bs-border-radius-xxl) !important;\n  border-top-left-radius: var(--bs-border-radius-xxl) !important;\n}\n\n.rounded-start-circle {\n  border-bottom-left-radius: 50% !important;\n  border-top-left-radius: 50% !important;\n}\n\n.rounded-start-pill {\n  border-bottom-left-radius: var(--bs-border-radius-pill) !important;\n  border-top-left-radius: var(--bs-border-radius-pill) !important;\n}\n\n.visible {\n  visibility: visible !important;\n}\n\n.invisible {\n  visibility: hidden !important;\n}\n\n.z-n1 {\n  z-index: -1 !important;\n}\n\n.z-0 {\n  z-index: 0 !important;\n}\n\n.z-1 {\n  z-index: 1 !important;\n}\n\n.z-2 {\n  z-index: 2 !important;\n}\n\n.z-3 {\n  z-index: 3 !important;\n}\n\n@media (min-width: 576px) {\n  .float-sm-start {\n    float: left !important;\n  }\n  .float-sm-end {\n    float: right !important;\n  }\n  .float-sm-none {\n    float: none !important;\n  }\n  .object-fit-sm-contain {\n    object-fit: contain !important;\n  }\n  .object-fit-sm-cover {\n    object-fit: cover !important;\n  }\n  .object-fit-sm-fill {\n    object-fit: fill !important;\n  }\n  .object-fit-sm-scale {\n    object-fit: scale-down !important;\n  }\n  .object-fit-sm-none {\n    object-fit: none !important;\n  }\n  .d-sm-inline {\n    display: inline !important;\n  }\n  .d-sm-inline-block {\n    display: inline-block !important;\n  }\n  .d-sm-block {\n    display: block !important;\n  }\n  .d-sm-grid {\n    display: grid !important;\n  }\n  .d-sm-inline-grid {\n    display: inline-grid !important;\n  }\n  .d-sm-table {\n    display: table !important;\n  }\n  .d-sm-table-row {\n    display: table-row !important;\n  }\n  .d-sm-table-cell {\n    display: table-cell !important;\n  }\n  .d-sm-flex {\n    display: flex !important;\n  }\n  .d-sm-inline-flex {\n    display: inline-flex !important;\n  }\n  .d-sm-none {\n    display: none !important;\n  }\n  .flex-sm-fill {\n    flex: 1 1 auto !important;\n  }\n  .flex-sm-row {\n    flex-direction: row !important;\n  }\n  .flex-sm-column {\n    flex-direction: column !important;\n  }\n  .flex-sm-row-reverse {\n    flex-direction: row-reverse !important;\n  }\n  .flex-sm-column-reverse {\n    flex-direction: column-reverse !important;\n  }\n  .flex-sm-grow-0 {\n    flex-grow: 0 !important;\n  }\n  .flex-sm-grow-1 {\n    flex-grow: 1 !important;\n  }\n  .flex-sm-shrink-0 {\n    flex-shrink: 0 !important;\n  }\n  .flex-sm-shrink-1 {\n    flex-shrink: 1 !important;\n  }\n  .flex-sm-wrap {\n    flex-wrap: wrap !important;\n  }\n  .flex-sm-nowrap {\n    flex-wrap: nowrap !important;\n  }\n  .flex-sm-wrap-reverse {\n    flex-wrap: wrap-reverse !important;\n  }\n  .justify-content-sm-start {\n    justify-content: flex-start !important;\n  }\n  .justify-content-sm-end {\n    justify-content: flex-end !important;\n  }\n  .justify-content-sm-center {\n    justify-content: center !important;\n  }\n  .justify-content-sm-between {\n    justify-content: space-between !important;\n  }\n  .justify-content-sm-around {\n    justify-content: space-around !important;\n  }\n  .justify-content-sm-evenly {\n    justify-content: space-evenly !important;\n  }\n  .align-items-sm-start {\n    align-items: flex-start !important;\n  }\n  .align-items-sm-end {\n    align-items: flex-end !important;\n  }\n  .align-items-sm-center {\n    align-items: center !important;\n  }\n  .align-items-sm-baseline {\n    align-items: baseline !important;\n  }\n  .align-items-sm-stretch {\n    align-items: stretch !important;\n  }\n  .align-content-sm-start {\n    align-content: flex-start !important;\n  }\n  .align-content-sm-end {\n    align-content: flex-end !important;\n  }\n  .align-content-sm-center {\n    align-content: center !important;\n  }\n  .align-content-sm-between {\n    align-content: space-between !important;\n  }\n  .align-content-sm-around {\n    align-content: space-around !important;\n  }\n  .align-content-sm-stretch {\n    align-content: stretch !important;\n  }\n  .align-self-sm-auto {\n    align-self: auto !important;\n  }\n  .align-self-sm-start {\n    align-self: flex-start !important;\n  }\n  .align-self-sm-end {\n    align-self: flex-end !important;\n  }\n  .align-self-sm-center {\n    align-self: center !important;\n  }\n  .align-self-sm-baseline {\n    align-self: baseline !important;\n  }\n  .align-self-sm-stretch {\n    align-self: stretch !important;\n  }\n  .order-sm-first {\n    order: -1 !important;\n  }\n  .order-sm-0 {\n    order: 0 !important;\n  }\n  .order-sm-1 {\n    order: 1 !important;\n  }\n  .order-sm-2 {\n    order: 2 !important;\n  }\n  .order-sm-3 {\n    order: 3 !important;\n  }\n  .order-sm-4 {\n    order: 4 !important;\n  }\n  .order-sm-5 {\n    order: 5 !important;\n  }\n  .order-sm-last {\n    order: 6 !important;\n  }\n  .m-sm-0 {\n    margin: 0 !important;\n  }\n  .m-sm-1 {\n    margin: 0.25rem !important;\n  }\n  .m-sm-2 {\n    margin: 0.5rem !important;\n  }\n  .m-sm-3 {\n    margin: 1rem !important;\n  }\n  .m-sm-4 {\n    margin: 1.5rem !important;\n  }\n  .m-sm-5 {\n    margin: 3rem !important;\n  }\n  .m-sm-auto {\n    margin: auto !important;\n  }\n  .mx-sm-0 {\n    margin-right: 0 !important;\n    margin-left: 0 !important;\n  }\n  .mx-sm-1 {\n    margin-right: 0.25rem !important;\n    margin-left: 0.25rem !important;\n  }\n  .mx-sm-2 {\n    margin-right: 0.5rem !important;\n    margin-left: 0.5rem !important;\n  }\n  .mx-sm-3 {\n    margin-right: 1rem !important;\n    margin-left: 1rem !important;\n  }\n  .mx-sm-4 {\n    margin-right: 1.5rem !important;\n    margin-left: 1.5rem !important;\n  }\n  .mx-sm-5 {\n    margin-right: 3rem !important;\n    margin-left: 3rem !important;\n  }\n  .mx-sm-auto {\n    margin-right: auto !important;\n    margin-left: auto !important;\n  }\n  .my-sm-0 {\n    margin-top: 0 !important;\n    margin-bottom: 0 !important;\n  }\n  .my-sm-1 {\n    margin-top: 0.25rem !important;\n    margin-bottom: 0.25rem !important;\n  }\n  .my-sm-2 {\n    margin-top: 0.5rem !important;\n    margin-bottom: 0.5rem !important;\n  }\n  .my-sm-3 {\n    margin-top: 1rem !important;\n    margin-bottom: 1rem !important;\n  }\n  .my-sm-4 {\n    margin-top: 1.5rem !important;\n    margin-bottom: 1.5rem !important;\n  }\n  .my-sm-5 {\n    margin-top: 3rem !important;\n    margin-bottom: 3rem !important;\n  }\n  .my-sm-auto {\n    margin-top: auto !important;\n    margin-bottom: auto !important;\n  }\n  .mt-sm-0 {\n    margin-top: 0 !important;\n  }\n  .mt-sm-1 {\n    margin-top: 0.25rem !important;\n  }\n  .mt-sm-2 {\n    margin-top: 0.5rem !important;\n  }\n  .mt-sm-3 {\n    margin-top: 1rem !important;\n  }\n  .mt-sm-4 {\n    margin-top: 1.5rem !important;\n  }\n  .mt-sm-5 {\n    margin-top: 3rem !important;\n  }\n  .mt-sm-auto {\n    margin-top: auto !important;\n  }\n  .me-sm-0 {\n    margin-right: 0 !important;\n  }\n  .me-sm-1 {\n    margin-right: 0.25rem !important;\n  }\n  .me-sm-2 {\n    margin-right: 0.5rem !important;\n  }\n  .me-sm-3 {\n    margin-right: 1rem !important;\n  }\n  .me-sm-4 {\n    margin-right: 1.5rem !important;\n  }\n  .me-sm-5 {\n    margin-right: 3rem !important;\n  }\n  .me-sm-auto {\n    margin-right: auto !important;\n  }\n  .mb-sm-0 {\n    margin-bottom: 0 !important;\n  }\n  .mb-sm-1 {\n    margin-bottom: 0.25rem !important;\n  }\n  .mb-sm-2 {\n    margin-bottom: 0.5rem !important;\n  }\n  .mb-sm-3 {\n    margin-bottom: 1rem !important;\n  }\n  .mb-sm-4 {\n    margin-bottom: 1.5rem !important;\n  }\n  .mb-sm-5 {\n    margin-bottom: 3rem !important;\n  }\n  .mb-sm-auto {\n    margin-bottom: auto !important;\n  }\n  .ms-sm-0 {\n    margin-left: 0 !important;\n  }\n  .ms-sm-1 {\n    margin-left: 0.25rem !important;\n  }\n  .ms-sm-2 {\n    margin-left: 0.5rem !important;\n  }\n  .ms-sm-3 {\n    margin-left: 1rem !important;\n  }\n  .ms-sm-4 {\n    margin-left: 1.5rem !important;\n  }\n  .ms-sm-5 {\n    margin-left: 3rem !important;\n  }\n  .ms-sm-auto {\n    margin-left: auto !important;\n  }\n  .p-sm-0 {\n    padding: 0 !important;\n  }\n  .p-sm-1 {\n    padding: 0.25rem !important;\n  }\n  .p-sm-2 {\n    padding: 0.5rem !important;\n  }\n  .p-sm-3 {\n    padding: 1rem !important;\n  }\n  .p-sm-4 {\n    padding: 1.5rem !important;\n  }\n  .p-sm-5 {\n    padding: 3rem !important;\n  }\n  .px-sm-0 {\n    padding-right: 0 !important;\n    padding-left: 0 !important;\n  }\n  .px-sm-1 {\n    padding-right: 0.25rem !important;\n    padding-left: 0.25rem !important;\n  }\n  .px-sm-2 {\n    padding-right: 0.5rem !important;\n    padding-left: 0.5rem !important;\n  }\n  .px-sm-3 {\n    padding-right: 1rem !important;\n    padding-left: 1rem !important;\n  }\n  .px-sm-4 {\n    padding-right: 1.5rem !important;\n    padding-left: 1.5rem !important;\n  }\n  .px-sm-5 {\n    padding-right: 3rem !important;\n    padding-left: 3rem !important;\n  }\n  .py-sm-0 {\n    padding-top: 0 !important;\n    padding-bottom: 0 !important;\n  }\n  .py-sm-1 {\n    padding-top: 0.25rem !important;\n    padding-bottom: 0.25rem !important;\n  }\n  .py-sm-2 {\n    padding-top: 0.5rem !important;\n    padding-bottom: 0.5rem !important;\n  }\n  .py-sm-3 {\n    padding-top: 1rem !important;\n    padding-bottom: 1rem !important;\n  }\n  .py-sm-4 {\n    padding-top: 1.5rem !important;\n    padding-bottom: 1.5rem !important;\n  }\n  .py-sm-5 {\n    padding-top: 3rem !important;\n    padding-bottom: 3rem !important;\n  }\n  .pt-sm-0 {\n    padding-top: 0 !important;\n  }\n  .pt-sm-1 {\n    padding-top: 0.25rem !important;\n  }\n  .pt-sm-2 {\n    padding-top: 0.5rem !important;\n  }\n  .pt-sm-3 {\n    padding-top: 1rem !important;\n  }\n  .pt-sm-4 {\n    padding-top: 1.5rem !important;\n  }\n  .pt-sm-5 {\n    padding-top: 3rem !important;\n  }\n  .pe-sm-0 {\n    padding-right: 0 !important;\n  }\n  .pe-sm-1 {\n    padding-right: 0.25rem !important;\n  }\n  .pe-sm-2 {\n    padding-right: 0.5rem !important;\n  }\n  .pe-sm-3 {\n    padding-right: 1rem !important;\n  }\n  .pe-sm-4 {\n    padding-right: 1.5rem !important;\n  }\n  .pe-sm-5 {\n    padding-right: 3rem !important;\n  }\n  .pb-sm-0 {\n    padding-bottom: 0 !important;\n  }\n  .pb-sm-1 {\n    padding-bottom: 0.25rem !important;\n  }\n  .pb-sm-2 {\n    padding-bottom: 0.5rem !important;\n  }\n  .pb-sm-3 {\n    padding-bottom: 1rem !important;\n  }\n  .pb-sm-4 {\n    padding-bottom: 1.5rem !important;\n  }\n  .pb-sm-5 {\n    padding-bottom: 3rem !important;\n  }\n  .ps-sm-0 {\n    padding-left: 0 !important;\n  }\n  .ps-sm-1 {\n    padding-left: 0.25rem !important;\n  }\n  .ps-sm-2 {\n    padding-left: 0.5rem !important;\n  }\n  .ps-sm-3 {\n    padding-left: 1rem !important;\n  }\n  .ps-sm-4 {\n    padding-left: 1.5rem !important;\n  }\n  .ps-sm-5 {\n    padding-left: 3rem !important;\n  }\n  .gap-sm-0 {\n    gap: 0 !important;\n  }\n  .gap-sm-1 {\n    gap: 0.25rem !important;\n  }\n  .gap-sm-2 {\n    gap: 0.5rem !important;\n  }\n  .gap-sm-3 {\n    gap: 1rem !important;\n  }\n  .gap-sm-4 {\n    gap: 1.5rem !important;\n  }\n  .gap-sm-5 {\n    gap: 3rem !important;\n  }\n  .row-gap-sm-0 {\n    row-gap: 0 !important;\n  }\n  .row-gap-sm-1 {\n    row-gap: 0.25rem !important;\n  }\n  .row-gap-sm-2 {\n    row-gap: 0.5rem !important;\n  }\n  .row-gap-sm-3 {\n    row-gap: 1rem !important;\n  }\n  .row-gap-sm-4 {\n    row-gap: 1.5rem !important;\n  }\n  .row-gap-sm-5 {\n    row-gap: 3rem !important;\n  }\n  .column-gap-sm-0 {\n    column-gap: 0 !important;\n  }\n  .column-gap-sm-1 {\n    column-gap: 0.25rem !important;\n  }\n  .column-gap-sm-2 {\n    column-gap: 0.5rem !important;\n  }\n  .column-gap-sm-3 {\n    column-gap: 1rem !important;\n  }\n  .column-gap-sm-4 {\n    column-gap: 1.5rem !important;\n  }\n  .column-gap-sm-5 {\n    column-gap: 3rem !important;\n  }\n  .text-sm-start {\n    text-align: left !important;\n  }\n  .text-sm-end {\n    text-align: right !important;\n  }\n  .text-sm-center {\n    text-align: center !important;\n  }\n}\n@media (min-width: 768px) {\n  .float-md-start {\n    float: left !important;\n  }\n  .float-md-end {\n    float: right !important;\n  }\n  .float-md-none {\n    float: none !important;\n  }\n  .object-fit-md-contain {\n    object-fit: contain !important;\n  }\n  .object-fit-md-cover {\n    object-fit: cover !important;\n  }\n  .object-fit-md-fill {\n    object-fit: fill !important;\n  }\n  .object-fit-md-scale {\n    object-fit: scale-down !important;\n  }\n  .object-fit-md-none {\n    object-fit: none !important;\n  }\n  .d-md-inline {\n    display: inline !important;\n  }\n  .d-md-inline-block {\n    display: inline-block !important;\n  }\n  .d-md-block {\n    display: block !important;\n  }\n  .d-md-grid {\n    display: grid !important;\n  }\n  .d-md-inline-grid {\n    display: inline-grid !important;\n  }\n  .d-md-table {\n    display: table !important;\n  }\n  .d-md-table-row {\n    display: table-row !important;\n  }\n  .d-md-table-cell {\n    display: table-cell !important;\n  }\n  .d-md-flex {\n    display: flex !important;\n  }\n  .d-md-inline-flex {\n    display: inline-flex !important;\n  }\n  .d-md-none {\n    display: none !important;\n  }\n  .flex-md-fill {\n    flex: 1 1 auto !important;\n  }\n  .flex-md-row {\n    flex-direction: row !important;\n  }\n  .flex-md-column {\n    flex-direction: column !important;\n  }\n  .flex-md-row-reverse {\n    flex-direction: row-reverse !important;\n  }\n  .flex-md-column-reverse {\n    flex-direction: column-reverse !important;\n  }\n  .flex-md-grow-0 {\n    flex-grow: 0 !important;\n  }\n  .flex-md-grow-1 {\n    flex-grow: 1 !important;\n  }\n  .flex-md-shrink-0 {\n    flex-shrink: 0 !important;\n  }\n  .flex-md-shrink-1 {\n    flex-shrink: 1 !important;\n  }\n  .flex-md-wrap {\n    flex-wrap: wrap !important;\n  }\n  .flex-md-nowrap {\n    flex-wrap: nowrap !important;\n  }\n  .flex-md-wrap-reverse {\n    flex-wrap: wrap-reverse !important;\n  }\n  .justify-content-md-start {\n    justify-content: flex-start !important;\n  }\n  .justify-content-md-end {\n    justify-content: flex-end !important;\n  }\n  .justify-content-md-center {\n    justify-content: center !important;\n  }\n  .justify-content-md-between {\n    justify-content: space-between !important;\n  }\n  .justify-content-md-around {\n    justify-content: space-around !important;\n  }\n  .justify-content-md-evenly {\n    justify-content: space-evenly !important;\n  }\n  .align-items-md-start {\n    align-items: flex-start !important;\n  }\n  .align-items-md-end {\n    align-items: flex-end !important;\n  }\n  .align-items-md-center {\n    align-items: center !important;\n  }\n  .align-items-md-baseline {\n    align-items: baseline !important;\n  }\n  .align-items-md-stretch {\n    align-items: stretch !important;\n  }\n  .align-content-md-start {\n    align-content: flex-start !important;\n  }\n  .align-content-md-end {\n    align-content: flex-end !important;\n  }\n  .align-content-md-center {\n    align-content: center !important;\n  }\n  .align-content-md-between {\n    align-content: space-between !important;\n  }\n  .align-content-md-around {\n    align-content: space-around !important;\n  }\n  .align-content-md-stretch {\n    align-content: stretch !important;\n  }\n  .align-self-md-auto {\n    align-self: auto !important;\n  }\n  .align-self-md-start {\n    align-self: flex-start !important;\n  }\n  .align-self-md-end {\n    align-self: flex-end !important;\n  }\n  .align-self-md-center {\n    align-self: center !important;\n  }\n  .align-self-md-baseline {\n    align-self: baseline !important;\n  }\n  .align-self-md-stretch {\n    align-self: stretch !important;\n  }\n  .order-md-first {\n    order: -1 !important;\n  }\n  .order-md-0 {\n    order: 0 !important;\n  }\n  .order-md-1 {\n    order: 1 !important;\n  }\n  .order-md-2 {\n    order: 2 !important;\n  }\n  .order-md-3 {\n    order: 3 !important;\n  }\n  .order-md-4 {\n    order: 4 !important;\n  }\n  .order-md-5 {\n    order: 5 !important;\n  }\n  .order-md-last {\n    order: 6 !important;\n  }\n  .m-md-0 {\n    margin: 0 !important;\n  }\n  .m-md-1 {\n    margin: 0.25rem !important;\n  }\n  .m-md-2 {\n    margin: 0.5rem !important;\n  }\n  .m-md-3 {\n    margin: 1rem !important;\n  }\n  .m-md-4 {\n    margin: 1.5rem !important;\n  }\n  .m-md-5 {\n    margin: 3rem !important;\n  }\n  .m-md-auto {\n    margin: auto !important;\n  }\n  .mx-md-0 {\n    margin-right: 0 !important;\n    margin-left: 0 !important;\n  }\n  .mx-md-1 {\n    margin-right: 0.25rem !important;\n    margin-left: 0.25rem !important;\n  }\n  .mx-md-2 {\n    margin-right: 0.5rem !important;\n    margin-left: 0.5rem !important;\n  }\n  .mx-md-3 {\n    margin-right: 1rem !important;\n    margin-left: 1rem !important;\n  }\n  .mx-md-4 {\n    margin-right: 1.5rem !important;\n    margin-left: 1.5rem !important;\n  }\n  .mx-md-5 {\n    margin-right: 3rem !important;\n    margin-left: 3rem !important;\n  }\n  .mx-md-auto {\n    margin-right: auto !important;\n    margin-left: auto !important;\n  }\n  .my-md-0 {\n    margin-top: 0 !important;\n    margin-bottom: 0 !important;\n  }\n  .my-md-1 {\n    margin-top: 0.25rem !important;\n    margin-bottom: 0.25rem !important;\n  }\n  .my-md-2 {\n    margin-top: 0.5rem !important;\n    margin-bottom: 0.5rem !important;\n  }\n  .my-md-3 {\n    margin-top: 1rem !important;\n    margin-bottom: 1rem !important;\n  }\n  .my-md-4 {\n    margin-top: 1.5rem !important;\n    margin-bottom: 1.5rem !important;\n  }\n  .my-md-5 {\n    margin-top: 3rem !important;\n    margin-bottom: 3rem !important;\n  }\n  .my-md-auto {\n    margin-top: auto !important;\n    margin-bottom: auto !important;\n  }\n  .mt-md-0 {\n    margin-top: 0 !important;\n  }\n  .mt-md-1 {\n    margin-top: 0.25rem !important;\n  }\n  .mt-md-2 {\n    margin-top: 0.5rem !important;\n  }\n  .mt-md-3 {\n    margin-top: 1rem !important;\n  }\n  .mt-md-4 {\n    margin-top: 1.5rem !important;\n  }\n  .mt-md-5 {\n    margin-top: 3rem !important;\n  }\n  .mt-md-auto {\n    margin-top: auto !important;\n  }\n  .me-md-0 {\n    margin-right: 0 !important;\n  }\n  .me-md-1 {\n    margin-right: 0.25rem !important;\n  }\n  .me-md-2 {\n    margin-right: 0.5rem !important;\n  }\n  .me-md-3 {\n    margin-right: 1rem !important;\n  }\n  .me-md-4 {\n    margin-right: 1.5rem !important;\n  }\n  .me-md-5 {\n    margin-right: 3rem !important;\n  }\n  .me-md-auto {\n    margin-right: auto !important;\n  }\n  .mb-md-0 {\n    margin-bottom: 0 !important;\n  }\n  .mb-md-1 {\n    margin-bottom: 0.25rem !important;\n  }\n  .mb-md-2 {\n    margin-bottom: 0.5rem !important;\n  }\n  .mb-md-3 {\n    margin-bottom: 1rem !important;\n  }\n  .mb-md-4 {\n    margin-bottom: 1.5rem !important;\n  }\n  .mb-md-5 {\n    margin-bottom: 3rem !important;\n  }\n  .mb-md-auto {\n    margin-bottom: auto !important;\n  }\n  .ms-md-0 {\n    margin-left: 0 !important;\n  }\n  .ms-md-1 {\n    margin-left: 0.25rem !important;\n  }\n  .ms-md-2 {\n    margin-left: 0.5rem !important;\n  }\n  .ms-md-3 {\n    margin-left: 1rem !important;\n  }\n  .ms-md-4 {\n    margin-left: 1.5rem !important;\n  }\n  .ms-md-5 {\n    margin-left: 3rem !important;\n  }\n  .ms-md-auto {\n    margin-left: auto !important;\n  }\n  .p-md-0 {\n    padding: 0 !important;\n  }\n  .p-md-1 {\n    padding: 0.25rem !important;\n  }\n  .p-md-2 {\n    padding: 0.5rem !important;\n  }\n  .p-md-3 {\n    padding: 1rem !important;\n  }\n  .p-md-4 {\n    padding: 1.5rem !important;\n  }\n  .p-md-5 {\n    padding: 3rem !important;\n  }\n  .px-md-0 {\n    padding-right: 0 !important;\n    padding-left: 0 !important;\n  }\n  .px-md-1 {\n    padding-right: 0.25rem !important;\n    padding-left: 0.25rem !important;\n  }\n  .px-md-2 {\n    padding-right: 0.5rem !important;\n    padding-left: 0.5rem !important;\n  }\n  .px-md-3 {\n    padding-right: 1rem !important;\n    padding-left: 1rem !important;\n  }\n  .px-md-4 {\n    padding-right: 1.5rem !important;\n    padding-left: 1.5rem !important;\n  }\n  .px-md-5 {\n    padding-right: 3rem !important;\n    padding-left: 3rem !important;\n  }\n  .py-md-0 {\n    padding-top: 0 !important;\n    padding-bottom: 0 !important;\n  }\n  .py-md-1 {\n    padding-top: 0.25rem !important;\n    padding-bottom: 0.25rem !important;\n  }\n  .py-md-2 {\n    padding-top: 0.5rem !important;\n    padding-bottom: 0.5rem !important;\n  }\n  .py-md-3 {\n    padding-top: 1rem !important;\n    padding-bottom: 1rem !important;\n  }\n  .py-md-4 {\n    padding-top: 1.5rem !important;\n    padding-bottom: 1.5rem !important;\n  }\n  .py-md-5 {\n    padding-top: 3rem !important;\n    padding-bottom: 3rem !important;\n  }\n  .pt-md-0 {\n    padding-top: 0 !important;\n  }\n  .pt-md-1 {\n    padding-top: 0.25rem !important;\n  }\n  .pt-md-2 {\n    padding-top: 0.5rem !important;\n  }\n  .pt-md-3 {\n    padding-top: 1rem !important;\n  }\n  .pt-md-4 {\n    padding-top: 1.5rem !important;\n  }\n  .pt-md-5 {\n    padding-top: 3rem !important;\n  }\n  .pe-md-0 {\n    padding-right: 0 !important;\n  }\n  .pe-md-1 {\n    padding-right: 0.25rem !important;\n  }\n  .pe-md-2 {\n    padding-right: 0.5rem !important;\n  }\n  .pe-md-3 {\n    padding-right: 1rem !important;\n  }\n  .pe-md-4 {\n    padding-right: 1.5rem !important;\n  }\n  .pe-md-5 {\n    padding-right: 3rem !important;\n  }\n  .pb-md-0 {\n    padding-bottom: 0 !important;\n  }\n  .pb-md-1 {\n    padding-bottom: 0.25rem !important;\n  }\n  .pb-md-2 {\n    padding-bottom: 0.5rem !important;\n  }\n  .pb-md-3 {\n    padding-bottom: 1rem !important;\n  }\n  .pb-md-4 {\n    padding-bottom: 1.5rem !important;\n  }\n  .pb-md-5 {\n    padding-bottom: 3rem !important;\n  }\n  .ps-md-0 {\n    padding-left: 0 !important;\n  }\n  .ps-md-1 {\n    padding-left: 0.25rem !important;\n  }\n  .ps-md-2 {\n    padding-left: 0.5rem !important;\n  }\n  .ps-md-3 {\n    padding-left: 1rem !important;\n  }\n  .ps-md-4 {\n    padding-left: 1.5rem !important;\n  }\n  .ps-md-5 {\n    padding-left: 3rem !important;\n  }\n  .gap-md-0 {\n    gap: 0 !important;\n  }\n  .gap-md-1 {\n    gap: 0.25rem !important;\n  }\n  .gap-md-2 {\n    gap: 0.5rem !important;\n  }\n  .gap-md-3 {\n    gap: 1rem !important;\n  }\n  .gap-md-4 {\n    gap: 1.5rem !important;\n  }\n  .gap-md-5 {\n    gap: 3rem !important;\n  }\n  .row-gap-md-0 {\n    row-gap: 0 !important;\n  }\n  .row-gap-md-1 {\n    row-gap: 0.25rem !important;\n  }\n  .row-gap-md-2 {\n    row-gap: 0.5rem !important;\n  }\n  .row-gap-md-3 {\n    row-gap: 1rem !important;\n  }\n  .row-gap-md-4 {\n    row-gap: 1.5rem !important;\n  }\n  .row-gap-md-5 {\n    row-gap: 3rem !important;\n  }\n  .column-gap-md-0 {\n    column-gap: 0 !important;\n  }\n  .column-gap-md-1 {\n    column-gap: 0.25rem !important;\n  }\n  .column-gap-md-2 {\n    column-gap: 0.5rem !important;\n  }\n  .column-gap-md-3 {\n    column-gap: 1rem !important;\n  }\n  .column-gap-md-4 {\n    column-gap: 1.5rem !important;\n  }\n  .column-gap-md-5 {\n    column-gap: 3rem !important;\n  }\n  .text-md-start {\n    text-align: left !important;\n  }\n  .text-md-end {\n    text-align: right !important;\n  }\n  .text-md-center {\n    text-align: center !important;\n  }\n}\n@media (min-width: 992px) {\n  .float-lg-start {\n    float: left !important;\n  }\n  .float-lg-end {\n    float: right !important;\n  }\n  .float-lg-none {\n    float: none !important;\n  }\n  .object-fit-lg-contain {\n    object-fit: contain !important;\n  }\n  .object-fit-lg-cover {\n    object-fit: cover !important;\n  }\n  .object-fit-lg-fill {\n    object-fit: fill !important;\n  }\n  .object-fit-lg-scale {\n    object-fit: scale-down !important;\n  }\n  .object-fit-lg-none {\n    object-fit: none !important;\n  }\n  .d-lg-inline {\n    display: inline !important;\n  }\n  .d-lg-inline-block {\n    display: inline-block !important;\n  }\n  .d-lg-block {\n    display: block !important;\n  }\n  .d-lg-grid {\n    display: grid !important;\n  }\n  .d-lg-inline-grid {\n    display: inline-grid !important;\n  }\n  .d-lg-table {\n    display: table !important;\n  }\n  .d-lg-table-row {\n    display: table-row !important;\n  }\n  .d-lg-table-cell {\n    display: table-cell !important;\n  }\n  .d-lg-flex {\n    display: flex !important;\n  }\n  .d-lg-inline-flex {\n    display: inline-flex !important;\n  }\n  .d-lg-none {\n    display: none !important;\n  }\n  .flex-lg-fill {\n    flex: 1 1 auto !important;\n  }\n  .flex-lg-row {\n    flex-direction: row !important;\n  }\n  .flex-lg-column {\n    flex-direction: column !important;\n  }\n  .flex-lg-row-reverse {\n    flex-direction: row-reverse !important;\n  }\n  .flex-lg-column-reverse {\n    flex-direction: column-reverse !important;\n  }\n  .flex-lg-grow-0 {\n    flex-grow: 0 !important;\n  }\n  .flex-lg-grow-1 {\n    flex-grow: 1 !important;\n  }\n  .flex-lg-shrink-0 {\n    flex-shrink: 0 !important;\n  }\n  .flex-lg-shrink-1 {\n    flex-shrink: 1 !important;\n  }\n  .flex-lg-wrap {\n    flex-wrap: wrap !important;\n  }\n  .flex-lg-nowrap {\n    flex-wrap: nowrap !important;\n  }\n  .flex-lg-wrap-reverse {\n    flex-wrap: wrap-reverse !important;\n  }\n  .justify-content-lg-start {\n    justify-content: flex-start !important;\n  }\n  .justify-content-lg-end {\n    justify-content: flex-end !important;\n  }\n  .justify-content-lg-center {\n    justify-content: center !important;\n  }\n  .justify-content-lg-between {\n    justify-content: space-between !important;\n  }\n  .justify-content-lg-around {\n    justify-content: space-around !important;\n  }\n  .justify-content-lg-evenly {\n    justify-content: space-evenly !important;\n  }\n  .align-items-lg-start {\n    align-items: flex-start !important;\n  }\n  .align-items-lg-end {\n    align-items: flex-end !important;\n  }\n  .align-items-lg-center {\n    align-items: center !important;\n  }\n  .align-items-lg-baseline {\n    align-items: baseline !important;\n  }\n  .align-items-lg-stretch {\n    align-items: stretch !important;\n  }\n  .align-content-lg-start {\n    align-content: flex-start !important;\n  }\n  .align-content-lg-end {\n    align-content: flex-end !important;\n  }\n  .align-content-lg-center {\n    align-content: center !important;\n  }\n  .align-content-lg-between {\n    align-content: space-between !important;\n  }\n  .align-content-lg-around {\n    align-content: space-around !important;\n  }\n  .align-content-lg-stretch {\n    align-content: stretch !important;\n  }\n  .align-self-lg-auto {\n    align-self: auto !important;\n  }\n  .align-self-lg-start {\n    align-self: flex-start !important;\n  }\n  .align-self-lg-end {\n    align-self: flex-end !important;\n  }\n  .align-self-lg-center {\n    align-self: center !important;\n  }\n  .align-self-lg-baseline {\n    align-self: baseline !important;\n  }\n  .align-self-lg-stretch {\n    align-self: stretch !important;\n  }\n  .order-lg-first {\n    order: -1 !important;\n  }\n  .order-lg-0 {\n    order: 0 !important;\n  }\n  .order-lg-1 {\n    order: 1 !important;\n  }\n  .order-lg-2 {\n    order: 2 !important;\n  }\n  .order-lg-3 {\n    order: 3 !important;\n  }\n  .order-lg-4 {\n    order: 4 !important;\n  }\n  .order-lg-5 {\n    order: 5 !important;\n  }\n  .order-lg-last {\n    order: 6 !important;\n  }\n  .m-lg-0 {\n    margin: 0 !important;\n  }\n  .m-lg-1 {\n    margin: 0.25rem !important;\n  }\n  .m-lg-2 {\n    margin: 0.5rem !important;\n  }\n  .m-lg-3 {\n    margin: 1rem !important;\n  }\n  .m-lg-4 {\n    margin: 1.5rem !important;\n  }\n  .m-lg-5 {\n    margin: 3rem !important;\n  }\n  .m-lg-auto {\n    margin: auto !important;\n  }\n  .mx-lg-0 {\n    margin-right: 0 !important;\n    margin-left: 0 !important;\n  }\n  .mx-lg-1 {\n    margin-right: 0.25rem !important;\n    margin-left: 0.25rem !important;\n  }\n  .mx-lg-2 {\n    margin-right: 0.5rem !important;\n    margin-left: 0.5rem !important;\n  }\n  .mx-lg-3 {\n    margin-right: 1rem !important;\n    margin-left: 1rem !important;\n  }\n  .mx-lg-4 {\n    margin-right: 1.5rem !important;\n    margin-left: 1.5rem !important;\n  }\n  .mx-lg-5 {\n    margin-right: 3rem !important;\n    margin-left: 3rem !important;\n  }\n  .mx-lg-auto {\n    margin-right: auto !important;\n    margin-left: auto !important;\n  }\n  .my-lg-0 {\n    margin-top: 0 !important;\n    margin-bottom: 0 !important;\n  }\n  .my-lg-1 {\n    margin-top: 0.25rem !important;\n    margin-bottom: 0.25rem !important;\n  }\n  .my-lg-2 {\n    margin-top: 0.5rem !important;\n    margin-bottom: 0.5rem !important;\n  }\n  .my-lg-3 {\n    margin-top: 1rem !important;\n    margin-bottom: 1rem !important;\n  }\n  .my-lg-4 {\n    margin-top: 1.5rem !important;\n    margin-bottom: 1.5rem !important;\n  }\n  .my-lg-5 {\n    margin-top: 3rem !important;\n    margin-bottom: 3rem !important;\n  }\n  .my-lg-auto {\n    margin-top: auto !important;\n    margin-bottom: auto !important;\n  }\n  .mt-lg-0 {\n    margin-top: 0 !important;\n  }\n  .mt-lg-1 {\n    margin-top: 0.25rem !important;\n  }\n  .mt-lg-2 {\n    margin-top: 0.5rem !important;\n  }\n  .mt-lg-3 {\n    margin-top: 1rem !important;\n  }\n  .mt-lg-4 {\n    margin-top: 1.5rem !important;\n  }\n  .mt-lg-5 {\n    margin-top: 3rem !important;\n  }\n  .mt-lg-auto {\n    margin-top: auto !important;\n  }\n  .me-lg-0 {\n    margin-right: 0 !important;\n  }\n  .me-lg-1 {\n    margin-right: 0.25rem !important;\n  }\n  .me-lg-2 {\n    margin-right: 0.5rem !important;\n  }\n  .me-lg-3 {\n    margin-right: 1rem !important;\n  }\n  .me-lg-4 {\n    margin-right: 1.5rem !important;\n  }\n  .me-lg-5 {\n    margin-right: 3rem !important;\n  }\n  .me-lg-auto {\n    margin-right: auto !important;\n  }\n  .mb-lg-0 {\n    margin-bottom: 0 !important;\n  }\n  .mb-lg-1 {\n    margin-bottom: 0.25rem !important;\n  }\n  .mb-lg-2 {\n    margin-bottom: 0.5rem !important;\n  }\n  .mb-lg-3 {\n    margin-bottom: 1rem !important;\n  }\n  .mb-lg-4 {\n    margin-bottom: 1.5rem !important;\n  }\n  .mb-lg-5 {\n    margin-bottom: 3rem !important;\n  }\n  .mb-lg-auto {\n    margin-bottom: auto !important;\n  }\n  .ms-lg-0 {\n    margin-left: 0 !important;\n  }\n  .ms-lg-1 {\n    margin-left: 0.25rem !important;\n  }\n  .ms-lg-2 {\n    margin-left: 0.5rem !important;\n  }\n  .ms-lg-3 {\n    margin-left: 1rem !important;\n  }\n  .ms-lg-4 {\n    margin-left: 1.5rem !important;\n  }\n  .ms-lg-5 {\n    margin-left: 3rem !important;\n  }\n  .ms-lg-auto {\n    margin-left: auto !important;\n  }\n  .p-lg-0 {\n    padding: 0 !important;\n  }\n  .p-lg-1 {\n    padding: 0.25rem !important;\n  }\n  .p-lg-2 {\n    padding: 0.5rem !important;\n  }\n  .p-lg-3 {\n    padding: 1rem !important;\n  }\n  .p-lg-4 {\n    padding: 1.5rem !important;\n  }\n  .p-lg-5 {\n    padding: 3rem !important;\n  }\n  .px-lg-0 {\n    padding-right: 0 !important;\n    padding-left: 0 !important;\n  }\n  .px-lg-1 {\n    padding-right: 0.25rem !important;\n    padding-left: 0.25rem !important;\n  }\n  .px-lg-2 {\n    padding-right: 0.5rem !important;\n    padding-left: 0.5rem !important;\n  }\n  .px-lg-3 {\n    padding-right: 1rem !important;\n    padding-left: 1rem !important;\n  }\n  .px-lg-4 {\n    padding-right: 1.5rem !important;\n    padding-left: 1.5rem !important;\n  }\n  .px-lg-5 {\n    padding-right: 3rem !important;\n    padding-left: 3rem !important;\n  }\n  .py-lg-0 {\n    padding-top: 0 !important;\n    padding-bottom: 0 !important;\n  }\n  .py-lg-1 {\n    padding-top: 0.25rem !important;\n    padding-bottom: 0.25rem !important;\n  }\n  .py-lg-2 {\n    padding-top: 0.5rem !important;\n    padding-bottom: 0.5rem !important;\n  }\n  .py-lg-3 {\n    padding-top: 1rem !important;\n    padding-bottom: 1rem !important;\n  }\n  .py-lg-4 {\n    padding-top: 1.5rem !important;\n    padding-bottom: 1.5rem !important;\n  }\n  .py-lg-5 {\n    padding-top: 3rem !important;\n    padding-bottom: 3rem !important;\n  }\n  .pt-lg-0 {\n    padding-top: 0 !important;\n  }\n  .pt-lg-1 {\n    padding-top: 0.25rem !important;\n  }\n  .pt-lg-2 {\n    padding-top: 0.5rem !important;\n  }\n  .pt-lg-3 {\n    padding-top: 1rem !important;\n  }\n  .pt-lg-4 {\n    padding-top: 1.5rem !important;\n  }\n  .pt-lg-5 {\n    padding-top: 3rem !important;\n  }\n  .pe-lg-0 {\n    padding-right: 0 !important;\n  }\n  .pe-lg-1 {\n    padding-right: 0.25rem !important;\n  }\n  .pe-lg-2 {\n    padding-right: 0.5rem !important;\n  }\n  .pe-lg-3 {\n    padding-right: 1rem !important;\n  }\n  .pe-lg-4 {\n    padding-right: 1.5rem !important;\n  }\n  .pe-lg-5 {\n    padding-right: 3rem !important;\n  }\n  .pb-lg-0 {\n    padding-bottom: 0 !important;\n  }\n  .pb-lg-1 {\n    padding-bottom: 0.25rem !important;\n  }\n  .pb-lg-2 {\n    padding-bottom: 0.5rem !important;\n  }\n  .pb-lg-3 {\n    padding-bottom: 1rem !important;\n  }\n  .pb-lg-4 {\n    padding-bottom: 1.5rem !important;\n  }\n  .pb-lg-5 {\n    padding-bottom: 3rem !important;\n  }\n  .ps-lg-0 {\n    padding-left: 0 !important;\n  }\n  .ps-lg-1 {\n    padding-left: 0.25rem !important;\n  }\n  .ps-lg-2 {\n    padding-left: 0.5rem !important;\n  }\n  .ps-lg-3 {\n    padding-left: 1rem !important;\n  }\n  .ps-lg-4 {\n    padding-left: 1.5rem !important;\n  }\n  .ps-lg-5 {\n    padding-left: 3rem !important;\n  }\n  .gap-lg-0 {\n    gap: 0 !important;\n  }\n  .gap-lg-1 {\n    gap: 0.25rem !important;\n  }\n  .gap-lg-2 {\n    gap: 0.5rem !important;\n  }\n  .gap-lg-3 {\n    gap: 1rem !important;\n  }\n  .gap-lg-4 {\n    gap: 1.5rem !important;\n  }\n  .gap-lg-5 {\n    gap: 3rem !important;\n  }\n  .row-gap-lg-0 {\n    row-gap: 0 !important;\n  }\n  .row-gap-lg-1 {\n    row-gap: 0.25rem !important;\n  }\n  .row-gap-lg-2 {\n    row-gap: 0.5rem !important;\n  }\n  .row-gap-lg-3 {\n    row-gap: 1rem !important;\n  }\n  .row-gap-lg-4 {\n    row-gap: 1.5rem !important;\n  }\n  .row-gap-lg-5 {\n    row-gap: 3rem !important;\n  }\n  .column-gap-lg-0 {\n    column-gap: 0 !important;\n  }\n  .column-gap-lg-1 {\n    column-gap: 0.25rem !important;\n  }\n  .column-gap-lg-2 {\n    column-gap: 0.5rem !important;\n  }\n  .column-gap-lg-3 {\n    column-gap: 1rem !important;\n  }\n  .column-gap-lg-4 {\n    column-gap: 1.5rem !important;\n  }\n  .column-gap-lg-5 {\n    column-gap: 3rem !important;\n  }\n  .text-lg-start {\n    text-align: left !important;\n  }\n  .text-lg-end {\n    text-align: right !important;\n  }\n  .text-lg-center {\n    text-align: center !important;\n  }\n}\n@media (min-width: 1200px) {\n  .float-xl-start {\n    float: left !important;\n  }\n  .float-xl-end {\n    float: right !important;\n  }\n  .float-xl-none {\n    float: none !important;\n  }\n  .object-fit-xl-contain {\n    object-fit: contain !important;\n  }\n  .object-fit-xl-cover {\n    object-fit: cover !important;\n  }\n  .object-fit-xl-fill {\n    object-fit: fill !important;\n  }\n  .object-fit-xl-scale {\n    object-fit: scale-down !important;\n  }\n  .object-fit-xl-none {\n    object-fit: none !important;\n  }\n  .d-xl-inline {\n    display: inline !important;\n  }\n  .d-xl-inline-block {\n    display: inline-block !important;\n  }\n  .d-xl-block {\n    display: block !important;\n  }\n  .d-xl-grid {\n    display: grid !important;\n  }\n  .d-xl-inline-grid {\n    display: inline-grid !important;\n  }\n  .d-xl-table {\n    display: table !important;\n  }\n  .d-xl-table-row {\n    display: table-row !important;\n  }\n  .d-xl-table-cell {\n    display: table-cell !important;\n  }\n  .d-xl-flex {\n    display: flex !important;\n  }\n  .d-xl-inline-flex {\n    display: inline-flex !important;\n  }\n  .d-xl-none {\n    display: none !important;\n  }\n  .flex-xl-fill {\n    flex: 1 1 auto !important;\n  }\n  .flex-xl-row {\n    flex-direction: row !important;\n  }\n  .flex-xl-column {\n    flex-direction: column !important;\n  }\n  .flex-xl-row-reverse {\n    flex-direction: row-reverse !important;\n  }\n  .flex-xl-column-reverse {\n    flex-direction: column-reverse !important;\n  }\n  .flex-xl-grow-0 {\n    flex-grow: 0 !important;\n  }\n  .flex-xl-grow-1 {\n    flex-grow: 1 !important;\n  }\n  .flex-xl-shrink-0 {\n    flex-shrink: 0 !important;\n  }\n  .flex-xl-shrink-1 {\n    flex-shrink: 1 !important;\n  }\n  .flex-xl-wrap {\n    flex-wrap: wrap !important;\n  }\n  .flex-xl-nowrap {\n    flex-wrap: nowrap !important;\n  }\n  .flex-xl-wrap-reverse {\n    flex-wrap: wrap-reverse !important;\n  }\n  .justify-content-xl-start {\n    justify-content: flex-start !important;\n  }\n  .justify-content-xl-end {\n    justify-content: flex-end !important;\n  }\n  .justify-content-xl-center {\n    justify-content: center !important;\n  }\n  .justify-content-xl-between {\n    justify-content: space-between !important;\n  }\n  .justify-content-xl-around {\n    justify-content: space-around !important;\n  }\n  .justify-content-xl-evenly {\n    justify-content: space-evenly !important;\n  }\n  .align-items-xl-start {\n    align-items: flex-start !important;\n  }\n  .align-items-xl-end {\n    align-items: flex-end !important;\n  }\n  .align-items-xl-center {\n    align-items: center !important;\n  }\n  .align-items-xl-baseline {\n    align-items: baseline !important;\n  }\n  .align-items-xl-stretch {\n    align-items: stretch !important;\n  }\n  .align-content-xl-start {\n    align-content: flex-start !important;\n  }\n  .align-content-xl-end {\n    align-content: flex-end !important;\n  }\n  .align-content-xl-center {\n    align-content: center !important;\n  }\n  .align-content-xl-between {\n    align-content: space-between !important;\n  }\n  .align-content-xl-around {\n    align-content: space-around !important;\n  }\n  .align-content-xl-stretch {\n    align-content: stretch !important;\n  }\n  .align-self-xl-auto {\n    align-self: auto !important;\n  }\n  .align-self-xl-start {\n    align-self: flex-start !important;\n  }\n  .align-self-xl-end {\n    align-self: flex-end !important;\n  }\n  .align-self-xl-center {\n    align-self: center !important;\n  }\n  .align-self-xl-baseline {\n    align-self: baseline !important;\n  }\n  .align-self-xl-stretch {\n    align-self: stretch !important;\n  }\n  .order-xl-first {\n    order: -1 !important;\n  }\n  .order-xl-0 {\n    order: 0 !important;\n  }\n  .order-xl-1 {\n    order: 1 !important;\n  }\n  .order-xl-2 {\n    order: 2 !important;\n  }\n  .order-xl-3 {\n    order: 3 !important;\n  }\n  .order-xl-4 {\n    order: 4 !important;\n  }\n  .order-xl-5 {\n    order: 5 !important;\n  }\n  .order-xl-last {\n    order: 6 !important;\n  }\n  .m-xl-0 {\n    margin: 0 !important;\n  }\n  .m-xl-1 {\n    margin: 0.25rem !important;\n  }\n  .m-xl-2 {\n    margin: 0.5rem !important;\n  }\n  .m-xl-3 {\n    margin: 1rem !important;\n  }\n  .m-xl-4 {\n    margin: 1.5rem !important;\n  }\n  .m-xl-5 {\n    margin: 3rem !important;\n  }\n  .m-xl-auto {\n    margin: auto !important;\n  }\n  .mx-xl-0 {\n    margin-right: 0 !important;\n    margin-left: 0 !important;\n  }\n  .mx-xl-1 {\n    margin-right: 0.25rem !important;\n    margin-left: 0.25rem !important;\n  }\n  .mx-xl-2 {\n    margin-right: 0.5rem !important;\n    margin-left: 0.5rem !important;\n  }\n  .mx-xl-3 {\n    margin-right: 1rem !important;\n    margin-left: 1rem !important;\n  }\n  .mx-xl-4 {\n    margin-right: 1.5rem !important;\n    margin-left: 1.5rem !important;\n  }\n  .mx-xl-5 {\n    margin-right: 3rem !important;\n    margin-left: 3rem !important;\n  }\n  .mx-xl-auto {\n    margin-right: auto !important;\n    margin-left: auto !important;\n  }\n  .my-xl-0 {\n    margin-top: 0 !important;\n    margin-bottom: 0 !important;\n  }\n  .my-xl-1 {\n    margin-top: 0.25rem !important;\n    margin-bottom: 0.25rem !important;\n  }\n  .my-xl-2 {\n    margin-top: 0.5rem !important;\n    margin-bottom: 0.5rem !important;\n  }\n  .my-xl-3 {\n    margin-top: 1rem !important;\n    margin-bottom: 1rem !important;\n  }\n  .my-xl-4 {\n    margin-top: 1.5rem !important;\n    margin-bottom: 1.5rem !important;\n  }\n  .my-xl-5 {\n    margin-top: 3rem !important;\n    margin-bottom: 3rem !important;\n  }\n  .my-xl-auto {\n    margin-top: auto !important;\n    margin-bottom: auto !important;\n  }\n  .mt-xl-0 {\n    margin-top: 0 !important;\n  }\n  .mt-xl-1 {\n    margin-top: 0.25rem !important;\n  }\n  .mt-xl-2 {\n    margin-top: 0.5rem !important;\n  }\n  .mt-xl-3 {\n    margin-top: 1rem !important;\n  }\n  .mt-xl-4 {\n    margin-top: 1.5rem !important;\n  }\n  .mt-xl-5 {\n    margin-top: 3rem !important;\n  }\n  .mt-xl-auto {\n    margin-top: auto !important;\n  }\n  .me-xl-0 {\n    margin-right: 0 !important;\n  }\n  .me-xl-1 {\n    margin-right: 0.25rem !important;\n  }\n  .me-xl-2 {\n    margin-right: 0.5rem !important;\n  }\n  .me-xl-3 {\n    margin-right: 1rem !important;\n  }\n  .me-xl-4 {\n    margin-right: 1.5rem !important;\n  }\n  .me-xl-5 {\n    margin-right: 3rem !important;\n  }\n  .me-xl-auto {\n    margin-right: auto !important;\n  }\n  .mb-xl-0 {\n    margin-bottom: 0 !important;\n  }\n  .mb-xl-1 {\n    margin-bottom: 0.25rem !important;\n  }\n  .mb-xl-2 {\n    margin-bottom: 0.5rem !important;\n  }\n  .mb-xl-3 {\n    margin-bottom: 1rem !important;\n  }\n  .mb-xl-4 {\n    margin-bottom: 1.5rem !important;\n  }\n  .mb-xl-5 {\n    margin-bottom: 3rem !important;\n  }\n  .mb-xl-auto {\n    margin-bottom: auto !important;\n  }\n  .ms-xl-0 {\n    margin-left: 0 !important;\n  }\n  .ms-xl-1 {\n    margin-left: 0.25rem !important;\n  }\n  .ms-xl-2 {\n    margin-left: 0.5rem !important;\n  }\n  .ms-xl-3 {\n    margin-left: 1rem !important;\n  }\n  .ms-xl-4 {\n    margin-left: 1.5rem !important;\n  }\n  .ms-xl-5 {\n    margin-left: 3rem !important;\n  }\n  .ms-xl-auto {\n    margin-left: auto !important;\n  }\n  .p-xl-0 {\n    padding: 0 !important;\n  }\n  .p-xl-1 {\n    padding: 0.25rem !important;\n  }\n  .p-xl-2 {\n    padding: 0.5rem !important;\n  }\n  .p-xl-3 {\n    padding: 1rem !important;\n  }\n  .p-xl-4 {\n    padding: 1.5rem !important;\n  }\n  .p-xl-5 {\n    padding: 3rem !important;\n  }\n  .px-xl-0 {\n    padding-right: 0 !important;\n    padding-left: 0 !important;\n  }\n  .px-xl-1 {\n    padding-right: 0.25rem !important;\n    padding-left: 0.25rem !important;\n  }\n  .px-xl-2 {\n    padding-right: 0.5rem !important;\n    padding-left: 0.5rem !important;\n  }\n  .px-xl-3 {\n    padding-right: 1rem !important;\n    padding-left: 1rem !important;\n  }\n  .px-xl-4 {\n    padding-right: 1.5rem !important;\n    padding-left: 1.5rem !important;\n  }\n  .px-xl-5 {\n    padding-right: 3rem !important;\n    padding-left: 3rem !important;\n  }\n  .py-xl-0 {\n    padding-top: 0 !important;\n    padding-bottom: 0 !important;\n  }\n  .py-xl-1 {\n    padding-top: 0.25rem !important;\n    padding-bottom: 0.25rem !important;\n  }\n  .py-xl-2 {\n    padding-top: 0.5rem !important;\n    padding-bottom: 0.5rem !important;\n  }\n  .py-xl-3 {\n    padding-top: 1rem !important;\n    padding-bottom: 1rem !important;\n  }\n  .py-xl-4 {\n    padding-top: 1.5rem !important;\n    padding-bottom: 1.5rem !important;\n  }\n  .py-xl-5 {\n    padding-top: 3rem !important;\n    padding-bottom: 3rem !important;\n  }\n  .pt-xl-0 {\n    padding-top: 0 !important;\n  }\n  .pt-xl-1 {\n    padding-top: 0.25rem !important;\n  }\n  .pt-xl-2 {\n    padding-top: 0.5rem !important;\n  }\n  .pt-xl-3 {\n    padding-top: 1rem !important;\n  }\n  .pt-xl-4 {\n    padding-top: 1.5rem !important;\n  }\n  .pt-xl-5 {\n    padding-top: 3rem !important;\n  }\n  .pe-xl-0 {\n    padding-right: 0 !important;\n  }\n  .pe-xl-1 {\n    padding-right: 0.25rem !important;\n  }\n  .pe-xl-2 {\n    padding-right: 0.5rem !important;\n  }\n  .pe-xl-3 {\n    padding-right: 1rem !important;\n  }\n  .pe-xl-4 {\n    padding-right: 1.5rem !important;\n  }\n  .pe-xl-5 {\n    padding-right: 3rem !important;\n  }\n  .pb-xl-0 {\n    padding-bottom: 0 !important;\n  }\n  .pb-xl-1 {\n    padding-bottom: 0.25rem !important;\n  }\n  .pb-xl-2 {\n    padding-bottom: 0.5rem !important;\n  }\n  .pb-xl-3 {\n    padding-bottom: 1rem !important;\n  }\n  .pb-xl-4 {\n    padding-bottom: 1.5rem !important;\n  }\n  .pb-xl-5 {\n    padding-bottom: 3rem !important;\n  }\n  .ps-xl-0 {\n    padding-left: 0 !important;\n  }\n  .ps-xl-1 {\n    padding-left: 0.25rem !important;\n  }\n  .ps-xl-2 {\n    padding-left: 0.5rem !important;\n  }\n  .ps-xl-3 {\n    padding-left: 1rem !important;\n  }\n  .ps-xl-4 {\n    padding-left: 1.5rem !important;\n  }\n  .ps-xl-5 {\n    padding-left: 3rem !important;\n  }\n  .gap-xl-0 {\n    gap: 0 !important;\n  }\n  .gap-xl-1 {\n    gap: 0.25rem !important;\n  }\n  .gap-xl-2 {\n    gap: 0.5rem !important;\n  }\n  .gap-xl-3 {\n    gap: 1rem !important;\n  }\n  .gap-xl-4 {\n    gap: 1.5rem !important;\n  }\n  .gap-xl-5 {\n    gap: 3rem !important;\n  }\n  .row-gap-xl-0 {\n    row-gap: 0 !important;\n  }\n  .row-gap-xl-1 {\n    row-gap: 0.25rem !important;\n  }\n  .row-gap-xl-2 {\n    row-gap: 0.5rem !important;\n  }\n  .row-gap-xl-3 {\n    row-gap: 1rem !important;\n  }\n  .row-gap-xl-4 {\n    row-gap: 1.5rem !important;\n  }\n  .row-gap-xl-5 {\n    row-gap: 3rem !important;\n  }\n  .column-gap-xl-0 {\n    column-gap: 0 !important;\n  }\n  .column-gap-xl-1 {\n    column-gap: 0.25rem !important;\n  }\n  .column-gap-xl-2 {\n    column-gap: 0.5rem !important;\n  }\n  .column-gap-xl-3 {\n    column-gap: 1rem !important;\n  }\n  .column-gap-xl-4 {\n    column-gap: 1.5rem !important;\n  }\n  .column-gap-xl-5 {\n    column-gap: 3rem !important;\n  }\n  .text-xl-start {\n    text-align: left !important;\n  }\n  .text-xl-end {\n    text-align: right !important;\n  }\n  .text-xl-center {\n    text-align: center !important;\n  }\n}\n@media (min-width: 1400px) {\n  .float-xxl-start {\n    float: left !important;\n  }\n  .float-xxl-end {\n    float: right !important;\n  }\n  .float-xxl-none {\n    float: none !important;\n  }\n  .object-fit-xxl-contain {\n    object-fit: contain !important;\n  }\n  .object-fit-xxl-cover {\n    object-fit: cover !important;\n  }\n  .object-fit-xxl-fill {\n    object-fit: fill !important;\n  }\n  .object-fit-xxl-scale {\n    object-fit: scale-down !important;\n  }\n  .object-fit-xxl-none {\n    object-fit: none !important;\n  }\n  .d-xxl-inline {\n    display: inline !important;\n  }\n  .d-xxl-inline-block {\n    display: inline-block !important;\n  }\n  .d-xxl-block {\n    display: block !important;\n  }\n  .d-xxl-grid {\n    display: grid !important;\n  }\n  .d-xxl-inline-grid {\n    display: inline-grid !important;\n  }\n  .d-xxl-table {\n    display: table !important;\n  }\n  .d-xxl-table-row {\n    display: table-row !important;\n  }\n  .d-xxl-table-cell {\n    display: table-cell !important;\n  }\n  .d-xxl-flex {\n    display: flex !important;\n  }\n  .d-xxl-inline-flex {\n    display: inline-flex !important;\n  }\n  .d-xxl-none {\n    display: none !important;\n  }\n  .flex-xxl-fill {\n    flex: 1 1 auto !important;\n  }\n  .flex-xxl-row {\n    flex-direction: row !important;\n  }\n  .flex-xxl-column {\n    flex-direction: column !important;\n  }\n  .flex-xxl-row-reverse {\n    flex-direction: row-reverse !important;\n  }\n  .flex-xxl-column-reverse {\n    flex-direction: column-reverse !important;\n  }\n  .flex-xxl-grow-0 {\n    flex-grow: 0 !important;\n  }\n  .flex-xxl-grow-1 {\n    flex-grow: 1 !important;\n  }\n  .flex-xxl-shrink-0 {\n    flex-shrink: 0 !important;\n  }\n  .flex-xxl-shrink-1 {\n    flex-shrink: 1 !important;\n  }\n  .flex-xxl-wrap {\n    flex-wrap: wrap !important;\n  }\n  .flex-xxl-nowrap {\n    flex-wrap: nowrap !important;\n  }\n  .flex-xxl-wrap-reverse {\n    flex-wrap: wrap-reverse !important;\n  }\n  .justify-content-xxl-start {\n    justify-content: flex-start !important;\n  }\n  .justify-content-xxl-end {\n    justify-content: flex-end !important;\n  }\n  .justify-content-xxl-center {\n    justify-content: center !important;\n  }\n  .justify-content-xxl-between {\n    justify-content: space-between !important;\n  }\n  .justify-content-xxl-around {\n    justify-content: space-around !important;\n  }\n  .justify-content-xxl-evenly {\n    justify-content: space-evenly !important;\n  }\n  .align-items-xxl-start {\n    align-items: flex-start !important;\n  }\n  .align-items-xxl-end {\n    align-items: flex-end !important;\n  }\n  .align-items-xxl-center {\n    align-items: center !important;\n  }\n  .align-items-xxl-baseline {\n    align-items: baseline !important;\n  }\n  .align-items-xxl-stretch {\n    align-items: stretch !important;\n  }\n  .align-content-xxl-start {\n    align-content: flex-start !important;\n  }\n  .align-content-xxl-end {\n    align-content: flex-end !important;\n  }\n  .align-content-xxl-center {\n    align-content: center !important;\n  }\n  .align-content-xxl-between {\n    align-content: space-between !important;\n  }\n  .align-content-xxl-around {\n    align-content: space-around !important;\n  }\n  .align-content-xxl-stretch {\n    align-content: stretch !important;\n  }\n  .align-self-xxl-auto {\n    align-self: auto !important;\n  }\n  .align-self-xxl-start {\n    align-self: flex-start !important;\n  }\n  .align-self-xxl-end {\n    align-self: flex-end !important;\n  }\n  .align-self-xxl-center {\n    align-self: center !important;\n  }\n  .align-self-xxl-baseline {\n    align-self: baseline !important;\n  }\n  .align-self-xxl-stretch {\n    align-self: stretch !important;\n  }\n  .order-xxl-first {\n    order: -1 !important;\n  }\n  .order-xxl-0 {\n    order: 0 !important;\n  }\n  .order-xxl-1 {\n    order: 1 !important;\n  }\n  .order-xxl-2 {\n    order: 2 !important;\n  }\n  .order-xxl-3 {\n    order: 3 !important;\n  }\n  .order-xxl-4 {\n    order: 4 !important;\n  }\n  .order-xxl-5 {\n    order: 5 !important;\n  }\n  .order-xxl-last {\n    order: 6 !important;\n  }\n  .m-xxl-0 {\n    margin: 0 !important;\n  }\n  .m-xxl-1 {\n    margin: 0.25rem !important;\n  }\n  .m-xxl-2 {\n    margin: 0.5rem !important;\n  }\n  .m-xxl-3 {\n    margin: 1rem !important;\n  }\n  .m-xxl-4 {\n    margin: 1.5rem !important;\n  }\n  .m-xxl-5 {\n    margin: 3rem !important;\n  }\n  .m-xxl-auto {\n    margin: auto !important;\n  }\n  .mx-xxl-0 {\n    margin-right: 0 !important;\n    margin-left: 0 !important;\n  }\n  .mx-xxl-1 {\n    margin-right: 0.25rem !important;\n    margin-left: 0.25rem !important;\n  }\n  .mx-xxl-2 {\n    margin-right: 0.5rem !important;\n    margin-left: 0.5rem !important;\n  }\n  .mx-xxl-3 {\n    margin-right: 1rem !important;\n    margin-left: 1rem !important;\n  }\n  .mx-xxl-4 {\n    margin-right: 1.5rem !important;\n    margin-left: 1.5rem !important;\n  }\n  .mx-xxl-5 {\n    margin-right: 3rem !important;\n    margin-left: 3rem !important;\n  }\n  .mx-xxl-auto {\n    margin-right: auto !important;\n    margin-left: auto !important;\n  }\n  .my-xxl-0 {\n    margin-top: 0 !important;\n    margin-bottom: 0 !important;\n  }\n  .my-xxl-1 {\n    margin-top: 0.25rem !important;\n    margin-bottom: 0.25rem !important;\n  }\n  .my-xxl-2 {\n    margin-top: 0.5rem !important;\n    margin-bottom: 0.5rem !important;\n  }\n  .my-xxl-3 {\n    margin-top: 1rem !important;\n    margin-bottom: 1rem !important;\n  }\n  .my-xxl-4 {\n    margin-top: 1.5rem !important;\n    margin-bottom: 1.5rem !important;\n  }\n  .my-xxl-5 {\n    margin-top: 3rem !important;\n    margin-bottom: 3rem !important;\n  }\n  .my-xxl-auto {\n    margin-top: auto !important;\n    margin-bottom: auto !important;\n  }\n  .mt-xxl-0 {\n    margin-top: 0 !important;\n  }\n  .mt-xxl-1 {\n    margin-top: 0.25rem !important;\n  }\n  .mt-xxl-2 {\n    margin-top: 0.5rem !important;\n  }\n  .mt-xxl-3 {\n    margin-top: 1rem !important;\n  }\n  .mt-xxl-4 {\n    margin-top: 1.5rem !important;\n  }\n  .mt-xxl-5 {\n    margin-top: 3rem !important;\n  }\n  .mt-xxl-auto {\n    margin-top: auto !important;\n  }\n  .me-xxl-0 {\n    margin-right: 0 !important;\n  }\n  .me-xxl-1 {\n    margin-right: 0.25rem !important;\n  }\n  .me-xxl-2 {\n    margin-right: 0.5rem !important;\n  }\n  .me-xxl-3 {\n    margin-right: 1rem !important;\n  }\n  .me-xxl-4 {\n    margin-right: 1.5rem !important;\n  }\n  .me-xxl-5 {\n    margin-right: 3rem !important;\n  }\n  .me-xxl-auto {\n    margin-right: auto !important;\n  }\n  .mb-xxl-0 {\n    margin-bottom: 0 !important;\n  }\n  .mb-xxl-1 {\n    margin-bottom: 0.25rem !important;\n  }\n  .mb-xxl-2 {\n    margin-bottom: 0.5rem !important;\n  }\n  .mb-xxl-3 {\n    margin-bottom: 1rem !important;\n  }\n  .mb-xxl-4 {\n    margin-bottom: 1.5rem !important;\n  }\n  .mb-xxl-5 {\n    margin-bottom: 3rem !important;\n  }\n  .mb-xxl-auto {\n    margin-bottom: auto !important;\n  }\n  .ms-xxl-0 {\n    margin-left: 0 !important;\n  }\n  .ms-xxl-1 {\n    margin-left: 0.25rem !important;\n  }\n  .ms-xxl-2 {\n    margin-left: 0.5rem !important;\n  }\n  .ms-xxl-3 {\n    margin-left: 1rem !important;\n  }\n  .ms-xxl-4 {\n    margin-left: 1.5rem !important;\n  }\n  .ms-xxl-5 {\n    margin-left: 3rem !important;\n  }\n  .ms-xxl-auto {\n    margin-left: auto !important;\n  }\n  .p-xxl-0 {\n    padding: 0 !important;\n  }\n  .p-xxl-1 {\n    padding: 0.25rem !important;\n  }\n  .p-xxl-2 {\n    padding: 0.5rem !important;\n  }\n  .p-xxl-3 {\n    padding: 1rem !important;\n  }\n  .p-xxl-4 {\n    padding: 1.5rem !important;\n  }\n  .p-xxl-5 {\n    padding: 3rem !important;\n  }\n  .px-xxl-0 {\n    padding-right: 0 !important;\n    padding-left: 0 !important;\n  }\n  .px-xxl-1 {\n    padding-right: 0.25rem !important;\n    padding-left: 0.25rem !important;\n  }\n  .px-xxl-2 {\n    padding-right: 0.5rem !important;\n    padding-left: 0.5rem !important;\n  }\n  .px-xxl-3 {\n    padding-right: 1rem !important;\n    padding-left: 1rem !important;\n  }\n  .px-xxl-4 {\n    padding-right: 1.5rem !important;\n    padding-left: 1.5rem !important;\n  }\n  .px-xxl-5 {\n    padding-right: 3rem !important;\n    padding-left: 3rem !important;\n  }\n  .py-xxl-0 {\n    padding-top: 0 !important;\n    padding-bottom: 0 !important;\n  }\n  .py-xxl-1 {\n    padding-top: 0.25rem !important;\n    padding-bottom: 0.25rem !important;\n  }\n  .py-xxl-2 {\n    padding-top: 0.5rem !important;\n    padding-bottom: 0.5rem !important;\n  }\n  .py-xxl-3 {\n    padding-top: 1rem !important;\n    padding-bottom: 1rem !important;\n  }\n  .py-xxl-4 {\n    padding-top: 1.5rem !important;\n    padding-bottom: 1.5rem !important;\n  }\n  .py-xxl-5 {\n    padding-top: 3rem !important;\n    padding-bottom: 3rem !important;\n  }\n  .pt-xxl-0 {\n    padding-top: 0 !important;\n  }\n  .pt-xxl-1 {\n    padding-top: 0.25rem !important;\n  }\n  .pt-xxl-2 {\n    padding-top: 0.5rem !important;\n  }\n  .pt-xxl-3 {\n    padding-top: 1rem !important;\n  }\n  .pt-xxl-4 {\n    padding-top: 1.5rem !important;\n  }\n  .pt-xxl-5 {\n    padding-top: 3rem !important;\n  }\n  .pe-xxl-0 {\n    padding-right: 0 !important;\n  }\n  .pe-xxl-1 {\n    padding-right: 0.25rem !important;\n  }\n  .pe-xxl-2 {\n    padding-right: 0.5rem !important;\n  }\n  .pe-xxl-3 {\n    padding-right: 1rem !important;\n  }\n  .pe-xxl-4 {\n    padding-right: 1.5rem !important;\n  }\n  .pe-xxl-5 {\n    padding-right: 3rem !important;\n  }\n  .pb-xxl-0 {\n    padding-bottom: 0 !important;\n  }\n  .pb-xxl-1 {\n    padding-bottom: 0.25rem !important;\n  }\n  .pb-xxl-2 {\n    padding-bottom: 0.5rem !important;\n  }\n  .pb-xxl-3 {\n    padding-bottom: 1rem !important;\n  }\n  .pb-xxl-4 {\n    padding-bottom: 1.5rem !important;\n  }\n  .pb-xxl-5 {\n    padding-bottom: 3rem !important;\n  }\n  .ps-xxl-0 {\n    padding-left: 0 !important;\n  }\n  .ps-xxl-1 {\n    padding-left: 0.25rem !important;\n  }\n  .ps-xxl-2 {\n    padding-left: 0.5rem !important;\n  }\n  .ps-xxl-3 {\n    padding-left: 1rem !important;\n  }\n  .ps-xxl-4 {\n    padding-left: 1.5rem !important;\n  }\n  .ps-xxl-5 {\n    padding-left: 3rem !important;\n  }\n  .gap-xxl-0 {\n    gap: 0 !important;\n  }\n  .gap-xxl-1 {\n    gap: 0.25rem !important;\n  }\n  .gap-xxl-2 {\n    gap: 0.5rem !important;\n  }\n  .gap-xxl-3 {\n    gap: 1rem !important;\n  }\n  .gap-xxl-4 {\n    gap: 1.5rem !important;\n  }\n  .gap-xxl-5 {\n    gap: 3rem !important;\n  }\n  .row-gap-xxl-0 {\n    row-gap: 0 !important;\n  }\n  .row-gap-xxl-1 {\n    row-gap: 0.25rem !important;\n  }\n  .row-gap-xxl-2 {\n    row-gap: 0.5rem !important;\n  }\n  .row-gap-xxl-3 {\n    row-gap: 1rem !important;\n  }\n  .row-gap-xxl-4 {\n    row-gap: 1.5rem !important;\n  }\n  .row-gap-xxl-5 {\n    row-gap: 3rem !important;\n  }\n  .column-gap-xxl-0 {\n    column-gap: 0 !important;\n  }\n  .column-gap-xxl-1 {\n    column-gap: 0.25rem !important;\n  }\n  .column-gap-xxl-2 {\n    column-gap: 0.5rem !important;\n  }\n  .column-gap-xxl-3 {\n    column-gap: 1rem !important;\n  }\n  .column-gap-xxl-4 {\n    column-gap: 1.5rem !important;\n  }\n  .column-gap-xxl-5 {\n    column-gap: 3rem !important;\n  }\n  .text-xxl-start {\n    text-align: left !important;\n  }\n  .text-xxl-end {\n    text-align: right !important;\n  }\n  .text-xxl-center {\n    text-align: center !important;\n  }\n}\n@media (min-width: 1200px) {\n  .fs-1 {\n    font-size: 2.5rem !important;\n  }\n  .fs-2 {\n    font-size: 2rem !important;\n  }\n  .fs-3 {\n    font-size: 1.75rem !important;\n  }\n  .fs-4 {\n    font-size: 1.5rem !important;\n  }\n}\n@media print {\n  .d-print-inline {\n    display: inline !important;\n  }\n  .d-print-inline-block {\n    display: inline-block !important;\n  }\n  .d-print-block {\n    display: block !important;\n  }\n  .d-print-grid {\n    display: grid !important;\n  }\n  .d-print-inline-grid {\n    display: inline-grid !important;\n  }\n  .d-print-table {\n    display: table !important;\n  }\n  .d-print-table-row {\n    display: table-row !important;\n  }\n  .d-print-table-cell {\n    display: table-cell !important;\n  }\n  .d-print-flex {\n    display: flex !important;\n  }\n  .d-print-inline-flex {\n    display: inline-flex !important;\n  }\n  .d-print-none {\n    display: none !important;\n  }\n}\n/*!\n * Font Awesome Free 6.5.2 by @fontawesome - https://fontawesome.com\n * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)\n * Copyright 2024 Fonticons, Inc.\n */\n.fa {\n  font-family: var(--fa-style-family, \"Font Awesome 6 Free\");\n  font-weight: var(--fa-style, 900);\n}\n\n.fa,\n.fa-classic,\n.fa-sharp,\n.fas,\n.fa-solid,\n.far,\n.fa-regular,\n.fab,\n.fa-brands {\n  -moz-osx-font-smoothing: grayscale;\n  -webkit-font-smoothing: antialiased;\n  display: var(--fa-display, inline-block);\n  font-style: normal;\n  font-variant: normal;\n  line-height: 1;\n  text-rendering: auto;\n}\n\n.fas,\n.fa-classic,\n.fa-solid,\n.far,\n.fa-regular {\n  font-family: \"Font Awesome 6 Free\";\n}\n\n.fab,\n.fa-brands {\n  font-family: \"Font Awesome 6 Brands\";\n}\n\n.fa-1x {\n  font-size: 1em;\n}\n\n.fa-2x {\n  font-size: 2em;\n}\n\n.fa-3x {\n  font-size: 3em;\n}\n\n.fa-4x {\n  font-size: 4em;\n}\n\n.fa-5x {\n  font-size: 5em;\n}\n\n.fa-6x {\n  font-size: 6em;\n}\n\n.fa-7x {\n  font-size: 7em;\n}\n\n.fa-8x {\n  font-size: 8em;\n}\n\n.fa-9x {\n  font-size: 9em;\n}\n\n.fa-10x {\n  font-size: 10em;\n}\n\n.fa-2xs {\n  font-size: 0.625em;\n  line-height: 0.1em;\n  vertical-align: 0.225em;\n}\n\n.fa-xs {\n  font-size: 0.75em;\n  line-height: 0.0833333337em;\n  vertical-align: 0.125em;\n}\n\n.fa-sm {\n  font-size: 0.875em;\n  line-height: 0.0714285718em;\n  vertical-align: 0.0535714295em;\n}\n\n.fa-lg {\n  font-size: 1.25em;\n  line-height: 0.05em;\n  vertical-align: -0.075em;\n}\n\n.fa-xl {\n  font-size: 1.5em;\n  line-height: 0.0416666682em;\n  vertical-align: -0.125em;\n}\n\n.fa-2xl {\n  font-size: 2em;\n  line-height: 0.03125em;\n  vertical-align: -0.1875em;\n}\n\n.fa-fw {\n  text-align: center;\n  width: 1.25em;\n}\n\n.fa-ul {\n  list-style-type: none;\n  margin-left: var(--fa-li-margin, 2.5em);\n  padding-left: 0;\n}\n.fa-ul > li {\n  position: relative;\n}\n\n.fa-li {\n  left: calc(var(--fa-li-width, 2em) * -1);\n  position: absolute;\n  text-align: center;\n  width: var(--fa-li-width, 2em);\n  line-height: inherit;\n}\n\n.fa-border {\n  border-color: var(--fa-border-color, #eee);\n  border-radius: var(--fa-border-radius, 0.1em);\n  border-style: var(--fa-border-style, solid);\n  border-width: var(--fa-border-width, 0.08em);\n  padding: var(--fa-border-padding, 0.2em 0.25em 0.15em);\n}\n\n.fa-pull-left {\n  float: left;\n  margin-right: var(--fa-pull-margin, 0.3em);\n}\n\n.fa-pull-right {\n  float: right;\n  margin-left: var(--fa-pull-margin, 0.3em);\n}\n\n.fa-beat {\n  animation-name: fa-beat;\n  animation-delay: var(--fa-animation-delay, 0s);\n  animation-direction: var(--fa-animation-direction, normal);\n  animation-duration: var(--fa-animation-duration, 1s);\n  animation-iteration-count: var(--fa-animation-iteration-count, infinite);\n  animation-timing-function: var(--fa-animation-timing, ease-in-out);\n}\n\n.fa-bounce {\n  animation-name: fa-bounce;\n  animation-delay: var(--fa-animation-delay, 0s);\n  animation-direction: var(--fa-animation-direction, normal);\n  animation-duration: var(--fa-animation-duration, 1s);\n  animation-iteration-count: var(--fa-animation-iteration-count, infinite);\n  animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1));\n}\n\n.fa-fade {\n  animation-name: fa-fade;\n  animation-delay: var(--fa-animation-delay, 0s);\n  animation-direction: var(--fa-animation-direction, normal);\n  animation-duration: var(--fa-animation-duration, 1s);\n  animation-iteration-count: var(--fa-animation-iteration-count, infinite);\n  animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1));\n}\n\n.fa-beat-fade {\n  animation-name: fa-beat-fade;\n  animation-delay: var(--fa-animation-delay, 0s);\n  animation-direction: var(--fa-animation-direction, normal);\n  animation-duration: var(--fa-animation-duration, 1s);\n  animation-iteration-count: var(--fa-animation-iteration-count, infinite);\n  animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1));\n}\n\n.fa-flip {\n  animation-name: fa-flip;\n  animation-delay: var(--fa-animation-delay, 0s);\n  animation-direction: var(--fa-animation-direction, normal);\n  animation-duration: var(--fa-animation-duration, 1s);\n  animation-iteration-count: var(--fa-animation-iteration-count, infinite);\n  animation-timing-function: var(--fa-animation-timing, ease-in-out);\n}\n\n.fa-shake {\n  animation-name: fa-shake;\n  animation-delay: var(--fa-animation-delay, 0s);\n  animation-direction: var(--fa-animation-direction, normal);\n  animation-duration: var(--fa-animation-duration, 1s);\n  animation-iteration-count: var(--fa-animation-iteration-count, infinite);\n  animation-timing-function: var(--fa-animation-timing, linear);\n}\n\n.fa-spin {\n  animation-name: fa-spin;\n  animation-delay: var(--fa-animation-delay, 0s);\n  animation-direction: var(--fa-animation-direction, normal);\n  animation-duration: var(--fa-animation-duration, 2s);\n  animation-iteration-count: var(--fa-animation-iteration-count, infinite);\n  animation-timing-function: var(--fa-animation-timing, linear);\n}\n\n.fa-spin-reverse {\n  --fa-animation-direction: reverse;\n}\n\n.fa-pulse,\n.fa-spin-pulse {\n  animation-name: fa-spin;\n  animation-direction: var(--fa-animation-direction, normal);\n  animation-duration: var(--fa-animation-duration, 1s);\n  animation-iteration-count: var(--fa-animation-iteration-count, infinite);\n  animation-timing-function: var(--fa-animation-timing, steps(8));\n}\n\n@media (prefers-reduced-motion: reduce) {\n  .fa-beat,\n  .fa-bounce,\n  .fa-fade,\n  .fa-beat-fade,\n  .fa-flip,\n  .fa-pulse,\n  .fa-shake,\n  .fa-spin,\n  .fa-spin-pulse {\n    animation-delay: -1ms;\n    animation-duration: 1ms;\n    animation-iteration-count: 1;\n    transition-delay: 0s;\n    transition-duration: 0s;\n  }\n}\n@keyframes fa-beat {\n  0%, 90% {\n    transform: scale(1);\n  }\n  45% {\n    transform: scale(var(--fa-beat-scale, 1.25));\n  }\n}\n@keyframes fa-bounce {\n  0% {\n    transform: scale(1, 1) translateY(0);\n  }\n  10% {\n    transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0);\n  }\n  30% {\n    transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em));\n  }\n  50% {\n    transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0);\n  }\n  57% {\n    transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em));\n  }\n  64% {\n    transform: scale(1, 1) translateY(0);\n  }\n  100% {\n    transform: scale(1, 1) translateY(0);\n  }\n}\n@keyframes fa-fade {\n  50% {\n    opacity: var(--fa-fade-opacity, 0.4);\n  }\n}\n@keyframes fa-beat-fade {\n  0%, 100% {\n    opacity: var(--fa-beat-fade-opacity, 0.4);\n    transform: scale(1);\n  }\n  50% {\n    opacity: 1;\n    transform: scale(var(--fa-beat-fade-scale, 1.125));\n  }\n}\n@keyframes fa-flip {\n  50% {\n    transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg));\n  }\n}\n@keyframes fa-shake {\n  0% {\n    transform: rotate(-15deg);\n  }\n  4% {\n    transform: rotate(15deg);\n  }\n  8%, 24% {\n    transform: rotate(-18deg);\n  }\n  12%, 28% {\n    transform: rotate(18deg);\n  }\n  16% {\n    transform: rotate(-22deg);\n  }\n  20% {\n    transform: rotate(22deg);\n  }\n  32% {\n    transform: rotate(-12deg);\n  }\n  36% {\n    transform: rotate(12deg);\n  }\n  40%, 100% {\n    transform: rotate(0deg);\n  }\n}\n@keyframes fa-spin {\n  0% {\n    transform: rotate(0deg);\n  }\n  100% {\n    transform: rotate(360deg);\n  }\n}\n.fa-rotate-90 {\n  transform: rotate(90deg);\n}\n\n.fa-rotate-180 {\n  transform: rotate(180deg);\n}\n\n.fa-rotate-270 {\n  transform: rotate(270deg);\n}\n\n.fa-flip-horizontal {\n  transform: scale(-1, 1);\n}\n\n.fa-flip-vertical {\n  transform: scale(1, -1);\n}\n\n.fa-flip-both,\n.fa-flip-horizontal.fa-flip-vertical {\n  transform: scale(-1, -1);\n}\n\n.fa-rotate-by {\n  transform: rotate(var(--fa-rotate-angle, 0));\n}\n\n.fa-stack {\n  display: inline-block;\n  height: 2em;\n  line-height: 2em;\n  position: relative;\n  vertical-align: middle;\n  width: 2.5em;\n}\n\n.fa-stack-1x,\n.fa-stack-2x {\n  left: 0;\n  position: absolute;\n  text-align: center;\n  width: 100%;\n  z-index: var(--fa-stack-z-index, auto);\n}\n\n.fa-stack-1x {\n  line-height: inherit;\n}\n\n.fa-stack-2x {\n  font-size: 2em;\n}\n\n.fa-inverse {\n  color: var(--fa-inverse, #fff);\n}\n\n/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen\nreaders do not read off random characters that represent icons */\n.fa-0::before {\n  content: \"\\30 \";\n}\n\n.fa-1::before {\n  content: \"\\31 \";\n}\n\n.fa-2::before {\n  content: \"\\32 \";\n}\n\n.fa-3::before {\n  content: \"\\33 \";\n}\n\n.fa-4::before {\n  content: \"\\34 \";\n}\n\n.fa-5::before {\n  content: \"\\35 \";\n}\n\n.fa-6::before {\n  content: \"\\36 \";\n}\n\n.fa-7::before {\n  content: \"\\37 \";\n}\n\n.fa-8::before {\n  content: \"\\38 \";\n}\n\n.fa-9::before {\n  content: \"\\39 \";\n}\n\n.fa-fill-drip::before {\n  content: \"\\f576\";\n}\n\n.fa-arrows-to-circle::before {\n  content: \"\\e4bd\";\n}\n\n.fa-circle-chevron-right::before {\n  content: \"\\f138\";\n}\n\n.fa-chevron-circle-right::before {\n  content: \"\\f138\";\n}\n\n.fa-at::before {\n  content: \"\\@\";\n}\n\n.fa-trash-can::before {\n  content: \"\\f2ed\";\n}\n\n.fa-trash-alt::before {\n  content: \"\\f2ed\";\n}\n\n.fa-text-height::before {\n  content: \"\\f034\";\n}\n\n.fa-user-xmark::before {\n  content: \"\\f235\";\n}\n\n.fa-user-times::before {\n  content: \"\\f235\";\n}\n\n.fa-stethoscope::before {\n  content: \"\\f0f1\";\n}\n\n.fa-message::before {\n  content: \"\\f27a\";\n}\n\n.fa-comment-alt::before {\n  content: \"\\f27a\";\n}\n\n.fa-info::before {\n  content: \"\\f129\";\n}\n\n.fa-down-left-and-up-right-to-center::before {\n  content: \"\\f422\";\n}\n\n.fa-compress-alt::before {\n  content: \"\\f422\";\n}\n\n.fa-explosion::before {\n  content: \"\\e4e9\";\n}\n\n.fa-file-lines::before {\n  content: \"\\f15c\";\n}\n\n.fa-file-alt::before {\n  content: \"\\f15c\";\n}\n\n.fa-file-text::before {\n  content: \"\\f15c\";\n}\n\n.fa-wave-square::before {\n  content: \"\\f83e\";\n}\n\n.fa-ring::before {\n  content: \"\\f70b\";\n}\n\n.fa-building-un::before {\n  content: \"\\e4d9\";\n}\n\n.fa-dice-three::before {\n  content: \"\\f527\";\n}\n\n.fa-calendar-days::before {\n  content: \"\\f073\";\n}\n\n.fa-calendar-alt::before {\n  content: \"\\f073\";\n}\n\n.fa-anchor-circle-check::before {\n  content: \"\\e4aa\";\n}\n\n.fa-building-circle-arrow-right::before {\n  content: \"\\e4d1\";\n}\n\n.fa-volleyball::before {\n  content: \"\\f45f\";\n}\n\n.fa-volleyball-ball::before {\n  content: \"\\f45f\";\n}\n\n.fa-arrows-up-to-line::before {\n  content: \"\\e4c2\";\n}\n\n.fa-sort-down::before {\n  content: \"\\f0dd\";\n}\n\n.fa-sort-desc::before {\n  content: \"\\f0dd\";\n}\n\n.fa-circle-minus::before {\n  content: \"\\f056\";\n}\n\n.fa-minus-circle::before {\n  content: \"\\f056\";\n}\n\n.fa-door-open::before {\n  content: \"\\f52b\";\n}\n\n.fa-right-from-bracket::before {\n  content: \"\\f2f5\";\n}\n\n.fa-sign-out-alt::before {\n  content: \"\\f2f5\";\n}\n\n.fa-atom::before {\n  content: \"\\f5d2\";\n}\n\n.fa-soap::before {\n  content: \"\\e06e\";\n}\n\n.fa-icons::before {\n  content: \"\\f86d\";\n}\n\n.fa-heart-music-camera-bolt::before {\n  content: \"\\f86d\";\n}\n\n.fa-microphone-lines-slash::before {\n  content: \"\\f539\";\n}\n\n.fa-microphone-alt-slash::before {\n  content: \"\\f539\";\n}\n\n.fa-bridge-circle-check::before {\n  content: \"\\e4c9\";\n}\n\n.fa-pump-medical::before {\n  content: \"\\e06a\";\n}\n\n.fa-fingerprint::before {\n  content: \"\\f577\";\n}\n\n.fa-hand-point-right::before {\n  content: \"\\f0a4\";\n}\n\n.fa-magnifying-glass-location::before {\n  content: \"\\f689\";\n}\n\n.fa-search-location::before {\n  content: \"\\f689\";\n}\n\n.fa-forward-step::before {\n  content: \"\\f051\";\n}\n\n.fa-step-forward::before {\n  content: \"\\f051\";\n}\n\n.fa-face-smile-beam::before {\n  content: \"\\f5b8\";\n}\n\n.fa-smile-beam::before {\n  content: \"\\f5b8\";\n}\n\n.fa-flag-checkered::before {\n  content: \"\\f11e\";\n}\n\n.fa-football::before {\n  content: \"\\f44e\";\n}\n\n.fa-football-ball::before {\n  content: \"\\f44e\";\n}\n\n.fa-school-circle-exclamation::before {\n  content: \"\\e56c\";\n}\n\n.fa-crop::before {\n  content: \"\\f125\";\n}\n\n.fa-angles-down::before {\n  content: \"\\f103\";\n}\n\n.fa-angle-double-down::before {\n  content: \"\\f103\";\n}\n\n.fa-users-rectangle::before {\n  content: \"\\e594\";\n}\n\n.fa-people-roof::before {\n  content: \"\\e537\";\n}\n\n.fa-people-line::before {\n  content: \"\\e534\";\n}\n\n.fa-beer-mug-empty::before {\n  content: \"\\f0fc\";\n}\n\n.fa-beer::before {\n  content: \"\\f0fc\";\n}\n\n.fa-diagram-predecessor::before {\n  content: \"\\e477\";\n}\n\n.fa-arrow-up-long::before {\n  content: \"\\f176\";\n}\n\n.fa-long-arrow-up::before {\n  content: \"\\f176\";\n}\n\n.fa-fire-flame-simple::before {\n  content: \"\\f46a\";\n}\n\n.fa-burn::before {\n  content: \"\\f46a\";\n}\n\n.fa-person::before {\n  content: \"\\f183\";\n}\n\n.fa-male::before {\n  content: \"\\f183\";\n}\n\n.fa-laptop::before {\n  content: \"\\f109\";\n}\n\n.fa-file-csv::before {\n  content: \"\\f6dd\";\n}\n\n.fa-menorah::before {\n  content: \"\\f676\";\n}\n\n.fa-truck-plane::before {\n  content: \"\\e58f\";\n}\n\n.fa-record-vinyl::before {\n  content: \"\\f8d9\";\n}\n\n.fa-face-grin-stars::before {\n  content: \"\\f587\";\n}\n\n.fa-grin-stars::before {\n  content: \"\\f587\";\n}\n\n.fa-bong::before {\n  content: \"\\f55c\";\n}\n\n.fa-spaghetti-monster-flying::before {\n  content: \"\\f67b\";\n}\n\n.fa-pastafarianism::before {\n  content: \"\\f67b\";\n}\n\n.fa-arrow-down-up-across-line::before {\n  content: \"\\e4af\";\n}\n\n.fa-spoon::before {\n  content: \"\\f2e5\";\n}\n\n.fa-utensil-spoon::before {\n  content: \"\\f2e5\";\n}\n\n.fa-jar-wheat::before {\n  content: \"\\e517\";\n}\n\n.fa-envelopes-bulk::before {\n  content: \"\\f674\";\n}\n\n.fa-mail-bulk::before {\n  content: \"\\f674\";\n}\n\n.fa-file-circle-exclamation::before {\n  content: \"\\e4eb\";\n}\n\n.fa-circle-h::before {\n  content: \"\\f47e\";\n}\n\n.fa-hospital-symbol::before {\n  content: \"\\f47e\";\n}\n\n.fa-pager::before {\n  content: \"\\f815\";\n}\n\n.fa-address-book::before {\n  content: \"\\f2b9\";\n}\n\n.fa-contact-book::before {\n  content: \"\\f2b9\";\n}\n\n.fa-strikethrough::before {\n  content: \"\\f0cc\";\n}\n\n.fa-k::before {\n  content: \"K\";\n}\n\n.fa-landmark-flag::before {\n  content: \"\\e51c\";\n}\n\n.fa-pencil::before {\n  content: \"\\f303\";\n}\n\n.fa-pencil-alt::before {\n  content: \"\\f303\";\n}\n\n.fa-backward::before {\n  content: \"\\f04a\";\n}\n\n.fa-caret-right::before {\n  content: \"\\f0da\";\n}\n\n.fa-comments::before {\n  content: \"\\f086\";\n}\n\n.fa-paste::before {\n  content: \"\\f0ea\";\n}\n\n.fa-file-clipboard::before {\n  content: \"\\f0ea\";\n}\n\n.fa-code-pull-request::before {\n  content: \"\\e13c\";\n}\n\n.fa-clipboard-list::before {\n  content: \"\\f46d\";\n}\n\n.fa-truck-ramp-box::before {\n  content: \"\\f4de\";\n}\n\n.fa-truck-loading::before {\n  content: \"\\f4de\";\n}\n\n.fa-user-check::before {\n  content: \"\\f4fc\";\n}\n\n.fa-vial-virus::before {\n  content: \"\\e597\";\n}\n\n.fa-sheet-plastic::before {\n  content: \"\\e571\";\n}\n\n.fa-blog::before {\n  content: \"\\f781\";\n}\n\n.fa-user-ninja::before {\n  content: \"\\f504\";\n}\n\n.fa-person-arrow-up-from-line::before {\n  content: \"\\e539\";\n}\n\n.fa-scroll-torah::before {\n  content: \"\\f6a0\";\n}\n\n.fa-torah::before {\n  content: \"\\f6a0\";\n}\n\n.fa-broom-ball::before {\n  content: \"\\f458\";\n}\n\n.fa-quidditch::before {\n  content: \"\\f458\";\n}\n\n.fa-quidditch-broom-ball::before {\n  content: \"\\f458\";\n}\n\n.fa-toggle-off::before {\n  content: \"\\f204\";\n}\n\n.fa-box-archive::before {\n  content: \"\\f187\";\n}\n\n.fa-archive::before {\n  content: \"\\f187\";\n}\n\n.fa-person-drowning::before {\n  content: \"\\e545\";\n}\n\n.fa-arrow-down-9-1::before {\n  content: \"\\f886\";\n}\n\n.fa-sort-numeric-desc::before {\n  content: \"\\f886\";\n}\n\n.fa-sort-numeric-down-alt::before {\n  content: \"\\f886\";\n}\n\n.fa-face-grin-tongue-squint::before {\n  content: \"\\f58a\";\n}\n\n.fa-grin-tongue-squint::before {\n  content: \"\\f58a\";\n}\n\n.fa-spray-can::before {\n  content: \"\\f5bd\";\n}\n\n.fa-truck-monster::before {\n  content: \"\\f63b\";\n}\n\n.fa-w::before {\n  content: \"W\";\n}\n\n.fa-earth-africa::before {\n  content: \"\\f57c\";\n}\n\n.fa-globe-africa::before {\n  content: \"\\f57c\";\n}\n\n.fa-rainbow::before {\n  content: \"\\f75b\";\n}\n\n.fa-circle-notch::before {\n  content: \"\\f1ce\";\n}\n\n.fa-tablet-screen-button::before {\n  content: \"\\f3fa\";\n}\n\n.fa-tablet-alt::before {\n  content: \"\\f3fa\";\n}\n\n.fa-paw::before {\n  content: \"\\f1b0\";\n}\n\n.fa-cloud::before {\n  content: \"\\f0c2\";\n}\n\n.fa-trowel-bricks::before {\n  content: \"\\e58a\";\n}\n\n.fa-face-flushed::before {\n  content: \"\\f579\";\n}\n\n.fa-flushed::before {\n  content: \"\\f579\";\n}\n\n.fa-hospital-user::before {\n  content: \"\\f80d\";\n}\n\n.fa-tent-arrow-left-right::before {\n  content: \"\\e57f\";\n}\n\n.fa-gavel::before {\n  content: \"\\f0e3\";\n}\n\n.fa-legal::before {\n  content: \"\\f0e3\";\n}\n\n.fa-binoculars::before {\n  content: \"\\f1e5\";\n}\n\n.fa-microphone-slash::before {\n  content: \"\\f131\";\n}\n\n.fa-box-tissue::before {\n  content: \"\\e05b\";\n}\n\n.fa-motorcycle::before {\n  content: \"\\f21c\";\n}\n\n.fa-bell-concierge::before {\n  content: \"\\f562\";\n}\n\n.fa-concierge-bell::before {\n  content: \"\\f562\";\n}\n\n.fa-pen-ruler::before {\n  content: \"\\f5ae\";\n}\n\n.fa-pencil-ruler::before {\n  content: \"\\f5ae\";\n}\n\n.fa-people-arrows::before {\n  content: \"\\e068\";\n}\n\n.fa-people-arrows-left-right::before {\n  content: \"\\e068\";\n}\n\n.fa-mars-and-venus-burst::before {\n  content: \"\\e523\";\n}\n\n.fa-square-caret-right::before {\n  content: \"\\f152\";\n}\n\n.fa-caret-square-right::before {\n  content: \"\\f152\";\n}\n\n.fa-scissors::before {\n  content: \"\\f0c4\";\n}\n\n.fa-cut::before {\n  content: \"\\f0c4\";\n}\n\n.fa-sun-plant-wilt::before {\n  content: \"\\e57a\";\n}\n\n.fa-toilets-portable::before {\n  content: \"\\e584\";\n}\n\n.fa-hockey-puck::before {\n  content: \"\\f453\";\n}\n\n.fa-table::before {\n  content: \"\\f0ce\";\n}\n\n.fa-magnifying-glass-arrow-right::before {\n  content: \"\\e521\";\n}\n\n.fa-tachograph-digital::before {\n  content: \"\\f566\";\n}\n\n.fa-digital-tachograph::before {\n  content: \"\\f566\";\n}\n\n.fa-users-slash::before {\n  content: \"\\e073\";\n}\n\n.fa-clover::before {\n  content: \"\\e139\";\n}\n\n.fa-reply::before {\n  content: \"\\f3e5\";\n}\n\n.fa-mail-reply::before {\n  content: \"\\f3e5\";\n}\n\n.fa-star-and-crescent::before {\n  content: \"\\f699\";\n}\n\n.fa-house-fire::before {\n  content: \"\\e50c\";\n}\n\n.fa-square-minus::before {\n  content: \"\\f146\";\n}\n\n.fa-minus-square::before {\n  content: \"\\f146\";\n}\n\n.fa-helicopter::before {\n  content: \"\\f533\";\n}\n\n.fa-compass::before {\n  content: \"\\f14e\";\n}\n\n.fa-square-caret-down::before {\n  content: \"\\f150\";\n}\n\n.fa-caret-square-down::before {\n  content: \"\\f150\";\n}\n\n.fa-file-circle-question::before {\n  content: \"\\e4ef\";\n}\n\n.fa-laptop-code::before {\n  content: \"\\f5fc\";\n}\n\n.fa-swatchbook::before {\n  content: \"\\f5c3\";\n}\n\n.fa-prescription-bottle::before {\n  content: \"\\f485\";\n}\n\n.fa-bars::before {\n  content: \"\\f0c9\";\n}\n\n.fa-navicon::before {\n  content: \"\\f0c9\";\n}\n\n.fa-people-group::before {\n  content: \"\\e533\";\n}\n\n.fa-hourglass-end::before {\n  content: \"\\f253\";\n}\n\n.fa-hourglass-3::before {\n  content: \"\\f253\";\n}\n\n.fa-heart-crack::before {\n  content: \"\\f7a9\";\n}\n\n.fa-heart-broken::before {\n  content: \"\\f7a9\";\n}\n\n.fa-square-up-right::before {\n  content: \"\\f360\";\n}\n\n.fa-external-link-square-alt::before {\n  content: \"\\f360\";\n}\n\n.fa-face-kiss-beam::before {\n  content: \"\\f597\";\n}\n\n.fa-kiss-beam::before {\n  content: \"\\f597\";\n}\n\n.fa-film::before {\n  content: \"\\f008\";\n}\n\n.fa-ruler-horizontal::before {\n  content: \"\\f547\";\n}\n\n.fa-people-robbery::before {\n  content: \"\\e536\";\n}\n\n.fa-lightbulb::before {\n  content: \"\\f0eb\";\n}\n\n.fa-caret-left::before {\n  content: \"\\f0d9\";\n}\n\n.fa-circle-exclamation::before {\n  content: \"\\f06a\";\n}\n\n.fa-exclamation-circle::before {\n  content: \"\\f06a\";\n}\n\n.fa-school-circle-xmark::before {\n  content: \"\\e56d\";\n}\n\n.fa-arrow-right-from-bracket::before {\n  content: \"\\f08b\";\n}\n\n.fa-sign-out::before {\n  content: \"\\f08b\";\n}\n\n.fa-circle-chevron-down::before {\n  content: \"\\f13a\";\n}\n\n.fa-chevron-circle-down::before {\n  content: \"\\f13a\";\n}\n\n.fa-unlock-keyhole::before {\n  content: \"\\f13e\";\n}\n\n.fa-unlock-alt::before {\n  content: \"\\f13e\";\n}\n\n.fa-cloud-showers-heavy::before {\n  content: \"\\f740\";\n}\n\n.fa-headphones-simple::before {\n  content: \"\\f58f\";\n}\n\n.fa-headphones-alt::before {\n  content: \"\\f58f\";\n}\n\n.fa-sitemap::before {\n  content: \"\\f0e8\";\n}\n\n.fa-circle-dollar-to-slot::before {\n  content: \"\\f4b9\";\n}\n\n.fa-donate::before {\n  content: \"\\f4b9\";\n}\n\n.fa-memory::before {\n  content: \"\\f538\";\n}\n\n.fa-road-spikes::before {\n  content: \"\\e568\";\n}\n\n.fa-fire-burner::before {\n  content: \"\\e4f1\";\n}\n\n.fa-flag::before {\n  content: \"\\f024\";\n}\n\n.fa-hanukiah::before {\n  content: \"\\f6e6\";\n}\n\n.fa-feather::before {\n  content: \"\\f52d\";\n}\n\n.fa-volume-low::before {\n  content: \"\\f027\";\n}\n\n.fa-volume-down::before {\n  content: \"\\f027\";\n}\n\n.fa-comment-slash::before {\n  content: \"\\f4b3\";\n}\n\n.fa-cloud-sun-rain::before {\n  content: \"\\f743\";\n}\n\n.fa-compress::before {\n  content: \"\\f066\";\n}\n\n.fa-wheat-awn::before {\n  content: \"\\e2cd\";\n}\n\n.fa-wheat-alt::before {\n  content: \"\\e2cd\";\n}\n\n.fa-ankh::before {\n  content: \"\\f644\";\n}\n\n.fa-hands-holding-child::before {\n  content: \"\\e4fa\";\n}\n\n.fa-asterisk::before {\n  content: \"\\*\";\n}\n\n.fa-square-check::before {\n  content: \"\\f14a\";\n}\n\n.fa-check-square::before {\n  content: \"\\f14a\";\n}\n\n.fa-peseta-sign::before {\n  content: \"\\e221\";\n}\n\n.fa-heading::before {\n  content: \"\\f1dc\";\n}\n\n.fa-header::before {\n  content: \"\\f1dc\";\n}\n\n.fa-ghost::before {\n  content: \"\\f6e2\";\n}\n\n.fa-list::before {\n  content: \"\\f03a\";\n}\n\n.fa-list-squares::before {\n  content: \"\\f03a\";\n}\n\n.fa-square-phone-flip::before {\n  content: \"\\f87b\";\n}\n\n.fa-phone-square-alt::before {\n  content: \"\\f87b\";\n}\n\n.fa-cart-plus::before {\n  content: \"\\f217\";\n}\n\n.fa-gamepad::before {\n  content: \"\\f11b\";\n}\n\n.fa-circle-dot::before {\n  content: \"\\f192\";\n}\n\n.fa-dot-circle::before {\n  content: \"\\f192\";\n}\n\n.fa-face-dizzy::before {\n  content: \"\\f567\";\n}\n\n.fa-dizzy::before {\n  content: \"\\f567\";\n}\n\n.fa-egg::before {\n  content: \"\\f7fb\";\n}\n\n.fa-house-medical-circle-xmark::before {\n  content: \"\\e513\";\n}\n\n.fa-campground::before {\n  content: \"\\f6bb\";\n}\n\n.fa-folder-plus::before {\n  content: \"\\f65e\";\n}\n\n.fa-futbol::before {\n  content: \"\\f1e3\";\n}\n\n.fa-futbol-ball::before {\n  content: \"\\f1e3\";\n}\n\n.fa-soccer-ball::before {\n  content: \"\\f1e3\";\n}\n\n.fa-paintbrush::before {\n  content: \"\\f1fc\";\n}\n\n.fa-paint-brush::before {\n  content: \"\\f1fc\";\n}\n\n.fa-lock::before {\n  content: \"\\f023\";\n}\n\n.fa-gas-pump::before {\n  content: \"\\f52f\";\n}\n\n.fa-hot-tub-person::before {\n  content: \"\\f593\";\n}\n\n.fa-hot-tub::before {\n  content: \"\\f593\";\n}\n\n.fa-map-location::before {\n  content: \"\\f59f\";\n}\n\n.fa-map-marked::before {\n  content: \"\\f59f\";\n}\n\n.fa-house-flood-water::before {\n  content: \"\\e50e\";\n}\n\n.fa-tree::before {\n  content: \"\\f1bb\";\n}\n\n.fa-bridge-lock::before {\n  content: \"\\e4cc\";\n}\n\n.fa-sack-dollar::before {\n  content: \"\\f81d\";\n}\n\n.fa-pen-to-square::before {\n  content: \"\\f044\";\n}\n\n.fa-edit::before {\n  content: \"\\f044\";\n}\n\n.fa-car-side::before {\n  content: \"\\f5e4\";\n}\n\n.fa-share-nodes::before {\n  content: \"\\f1e0\";\n}\n\n.fa-share-alt::before {\n  content: \"\\f1e0\";\n}\n\n.fa-heart-circle-minus::before {\n  content: \"\\e4ff\";\n}\n\n.fa-hourglass-half::before {\n  content: \"\\f252\";\n}\n\n.fa-hourglass-2::before {\n  content: \"\\f252\";\n}\n\n.fa-microscope::before {\n  content: \"\\f610\";\n}\n\n.fa-sink::before {\n  content: \"\\e06d\";\n}\n\n.fa-bag-shopping::before {\n  content: \"\\f290\";\n}\n\n.fa-shopping-bag::before {\n  content: \"\\f290\";\n}\n\n.fa-arrow-down-z-a::before {\n  content: \"\\f881\";\n}\n\n.fa-sort-alpha-desc::before {\n  content: \"\\f881\";\n}\n\n.fa-sort-alpha-down-alt::before {\n  content: \"\\f881\";\n}\n\n.fa-mitten::before {\n  content: \"\\f7b5\";\n}\n\n.fa-person-rays::before {\n  content: \"\\e54d\";\n}\n\n.fa-users::before {\n  content: \"\\f0c0\";\n}\n\n.fa-eye-slash::before {\n  content: \"\\f070\";\n}\n\n.fa-flask-vial::before {\n  content: \"\\e4f3\";\n}\n\n.fa-hand::before {\n  content: \"\\f256\";\n}\n\n.fa-hand-paper::before {\n  content: \"\\f256\";\n}\n\n.fa-om::before {\n  content: \"\\f679\";\n}\n\n.fa-worm::before {\n  content: \"\\e599\";\n}\n\n.fa-house-circle-xmark::before {\n  content: \"\\e50b\";\n}\n\n.fa-plug::before {\n  content: \"\\f1e6\";\n}\n\n.fa-chevron-up::before {\n  content: \"\\f077\";\n}\n\n.fa-hand-spock::before {\n  content: \"\\f259\";\n}\n\n.fa-stopwatch::before {\n  content: \"\\f2f2\";\n}\n\n.fa-face-kiss::before {\n  content: \"\\f596\";\n}\n\n.fa-kiss::before {\n  content: \"\\f596\";\n}\n\n.fa-bridge-circle-xmark::before {\n  content: \"\\e4cb\";\n}\n\n.fa-face-grin-tongue::before {\n  content: \"\\f589\";\n}\n\n.fa-grin-tongue::before {\n  content: \"\\f589\";\n}\n\n.fa-chess-bishop::before {\n  content: \"\\f43a\";\n}\n\n.fa-face-grin-wink::before {\n  content: \"\\f58c\";\n}\n\n.fa-grin-wink::before {\n  content: \"\\f58c\";\n}\n\n.fa-ear-deaf::before {\n  content: \"\\f2a4\";\n}\n\n.fa-deaf::before {\n  content: \"\\f2a4\";\n}\n\n.fa-deafness::before {\n  content: \"\\f2a4\";\n}\n\n.fa-hard-of-hearing::before {\n  content: \"\\f2a4\";\n}\n\n.fa-road-circle-check::before {\n  content: \"\\e564\";\n}\n\n.fa-dice-five::before {\n  content: \"\\f523\";\n}\n\n.fa-square-rss::before {\n  content: \"\\f143\";\n}\n\n.fa-rss-square::before {\n  content: \"\\f143\";\n}\n\n.fa-land-mine-on::before {\n  content: \"\\e51b\";\n}\n\n.fa-i-cursor::before {\n  content: \"\\f246\";\n}\n\n.fa-stamp::before {\n  content: \"\\f5bf\";\n}\n\n.fa-stairs::before {\n  content: \"\\e289\";\n}\n\n.fa-i::before {\n  content: \"I\";\n}\n\n.fa-hryvnia-sign::before {\n  content: \"\\f6f2\";\n}\n\n.fa-hryvnia::before {\n  content: \"\\f6f2\";\n}\n\n.fa-pills::before {\n  content: \"\\f484\";\n}\n\n.fa-face-grin-wide::before {\n  content: \"\\f581\";\n}\n\n.fa-grin-alt::before {\n  content: \"\\f581\";\n}\n\n.fa-tooth::before {\n  content: \"\\f5c9\";\n}\n\n.fa-v::before {\n  content: \"V\";\n}\n\n.fa-bangladeshi-taka-sign::before {\n  content: \"\\e2e6\";\n}\n\n.fa-bicycle::before {\n  content: \"\\f206\";\n}\n\n.fa-staff-snake::before {\n  content: \"\\e579\";\n}\n\n.fa-rod-asclepius::before {\n  content: \"\\e579\";\n}\n\n.fa-rod-snake::before {\n  content: \"\\e579\";\n}\n\n.fa-staff-aesculapius::before {\n  content: \"\\e579\";\n}\n\n.fa-head-side-cough-slash::before {\n  content: \"\\e062\";\n}\n\n.fa-truck-medical::before {\n  content: \"\\f0f9\";\n}\n\n.fa-ambulance::before {\n  content: \"\\f0f9\";\n}\n\n.fa-wheat-awn-circle-exclamation::before {\n  content: \"\\e598\";\n}\n\n.fa-snowman::before {\n  content: \"\\f7d0\";\n}\n\n.fa-mortar-pestle::before {\n  content: \"\\f5a7\";\n}\n\n.fa-road-barrier::before {\n  content: \"\\e562\";\n}\n\n.fa-school::before {\n  content: \"\\f549\";\n}\n\n.fa-igloo::before {\n  content: \"\\f7ae\";\n}\n\n.fa-joint::before {\n  content: \"\\f595\";\n}\n\n.fa-angle-right::before {\n  content: \"\\f105\";\n}\n\n.fa-horse::before {\n  content: \"\\f6f0\";\n}\n\n.fa-q::before {\n  content: \"Q\";\n}\n\n.fa-g::before {\n  content: \"G\";\n}\n\n.fa-notes-medical::before {\n  content: \"\\f481\";\n}\n\n.fa-temperature-half::before {\n  content: \"\\f2c9\";\n}\n\n.fa-temperature-2::before {\n  content: \"\\f2c9\";\n}\n\n.fa-thermometer-2::before {\n  content: \"\\f2c9\";\n}\n\n.fa-thermometer-half::before {\n  content: \"\\f2c9\";\n}\n\n.fa-dong-sign::before {\n  content: \"\\e169\";\n}\n\n.fa-capsules::before {\n  content: \"\\f46b\";\n}\n\n.fa-poo-storm::before {\n  content: \"\\f75a\";\n}\n\n.fa-poo-bolt::before {\n  content: \"\\f75a\";\n}\n\n.fa-face-frown-open::before {\n  content: \"\\f57a\";\n}\n\n.fa-frown-open::before {\n  content: \"\\f57a\";\n}\n\n.fa-hand-point-up::before {\n  content: \"\\f0a6\";\n}\n\n.fa-money-bill::before {\n  content: \"\\f0d6\";\n}\n\n.fa-bookmark::before {\n  content: \"\\f02e\";\n}\n\n.fa-align-justify::before {\n  content: \"\\f039\";\n}\n\n.fa-umbrella-beach::before {\n  content: \"\\f5ca\";\n}\n\n.fa-helmet-un::before {\n  content: \"\\e503\";\n}\n\n.fa-bullseye::before {\n  content: \"\\f140\";\n}\n\n.fa-bacon::before {\n  content: \"\\f7e5\";\n}\n\n.fa-hand-point-down::before {\n  content: \"\\f0a7\";\n}\n\n.fa-arrow-up-from-bracket::before {\n  content: \"\\e09a\";\n}\n\n.fa-folder::before {\n  content: \"\\f07b\";\n}\n\n.fa-folder-blank::before {\n  content: \"\\f07b\";\n}\n\n.fa-file-waveform::before {\n  content: \"\\f478\";\n}\n\n.fa-file-medical-alt::before {\n  content: \"\\f478\";\n}\n\n.fa-radiation::before {\n  content: \"\\f7b9\";\n}\n\n.fa-chart-simple::before {\n  content: \"\\e473\";\n}\n\n.fa-mars-stroke::before {\n  content: \"\\f229\";\n}\n\n.fa-vial::before {\n  content: \"\\f492\";\n}\n\n.fa-gauge::before {\n  content: \"\\f624\";\n}\n\n.fa-dashboard::before {\n  content: \"\\f624\";\n}\n\n.fa-gauge-med::before {\n  content: \"\\f624\";\n}\n\n.fa-tachometer-alt-average::before {\n  content: \"\\f624\";\n}\n\n.fa-wand-magic-sparkles::before {\n  content: \"\\e2ca\";\n}\n\n.fa-magic-wand-sparkles::before {\n  content: \"\\e2ca\";\n}\n\n.fa-e::before {\n  content: \"E\";\n}\n\n.fa-pen-clip::before {\n  content: \"\\f305\";\n}\n\n.fa-pen-alt::before {\n  content: \"\\f305\";\n}\n\n.fa-bridge-circle-exclamation::before {\n  content: \"\\e4ca\";\n}\n\n.fa-user::before {\n  content: \"\\f007\";\n}\n\n.fa-school-circle-check::before {\n  content: \"\\e56b\";\n}\n\n.fa-dumpster::before {\n  content: \"\\f793\";\n}\n\n.fa-van-shuttle::before {\n  content: \"\\f5b6\";\n}\n\n.fa-shuttle-van::before {\n  content: \"\\f5b6\";\n}\n\n.fa-building-user::before {\n  content: \"\\e4da\";\n}\n\n.fa-square-caret-left::before {\n  content: \"\\f191\";\n}\n\n.fa-caret-square-left::before {\n  content: \"\\f191\";\n}\n\n.fa-highlighter::before {\n  content: \"\\f591\";\n}\n\n.fa-key::before {\n  content: \"\\f084\";\n}\n\n.fa-bullhorn::before {\n  content: \"\\f0a1\";\n}\n\n.fa-globe::before {\n  content: \"\\f0ac\";\n}\n\n.fa-synagogue::before {\n  content: \"\\f69b\";\n}\n\n.fa-person-half-dress::before {\n  content: \"\\e548\";\n}\n\n.fa-road-bridge::before {\n  content: \"\\e563\";\n}\n\n.fa-location-arrow::before {\n  content: \"\\f124\";\n}\n\n.fa-c::before {\n  content: \"C\";\n}\n\n.fa-tablet-button::before {\n  content: \"\\f10a\";\n}\n\n.fa-building-lock::before {\n  content: \"\\e4d6\";\n}\n\n.fa-pizza-slice::before {\n  content: \"\\f818\";\n}\n\n.fa-money-bill-wave::before {\n  content: \"\\f53a\";\n}\n\n.fa-chart-area::before {\n  content: \"\\f1fe\";\n}\n\n.fa-area-chart::before {\n  content: \"\\f1fe\";\n}\n\n.fa-house-flag::before {\n  content: \"\\e50d\";\n}\n\n.fa-person-circle-minus::before {\n  content: \"\\e540\";\n}\n\n.fa-ban::before {\n  content: \"\\f05e\";\n}\n\n.fa-cancel::before {\n  content: \"\\f05e\";\n}\n\n.fa-camera-rotate::before {\n  content: \"\\e0d8\";\n}\n\n.fa-spray-can-sparkles::before {\n  content: \"\\f5d0\";\n}\n\n.fa-air-freshener::before {\n  content: \"\\f5d0\";\n}\n\n.fa-star::before {\n  content: \"\\f005\";\n}\n\n.fa-repeat::before {\n  content: \"\\f363\";\n}\n\n.fa-cross::before {\n  content: \"\\f654\";\n}\n\n.fa-box::before {\n  content: \"\\f466\";\n}\n\n.fa-venus-mars::before {\n  content: \"\\f228\";\n}\n\n.fa-arrow-pointer::before {\n  content: \"\\f245\";\n}\n\n.fa-mouse-pointer::before {\n  content: \"\\f245\";\n}\n\n.fa-maximize::before {\n  content: \"\\f31e\";\n}\n\n.fa-expand-arrows-alt::before {\n  content: \"\\f31e\";\n}\n\n.fa-charging-station::before {\n  content: \"\\f5e7\";\n}\n\n.fa-shapes::before {\n  content: \"\\f61f\";\n}\n\n.fa-triangle-circle-square::before {\n  content: \"\\f61f\";\n}\n\n.fa-shuffle::before {\n  content: \"\\f074\";\n}\n\n.fa-random::before {\n  content: \"\\f074\";\n}\n\n.fa-person-running::before {\n  content: \"\\f70c\";\n}\n\n.fa-running::before {\n  content: \"\\f70c\";\n}\n\n.fa-mobile-retro::before {\n  content: \"\\e527\";\n}\n\n.fa-grip-lines-vertical::before {\n  content: \"\\f7a5\";\n}\n\n.fa-spider::before {\n  content: \"\\f717\";\n}\n\n.fa-hands-bound::before {\n  content: \"\\e4f9\";\n}\n\n.fa-file-invoice-dollar::before {\n  content: \"\\f571\";\n}\n\n.fa-plane-circle-exclamation::before {\n  content: \"\\e556\";\n}\n\n.fa-x-ray::before {\n  content: \"\\f497\";\n}\n\n.fa-spell-check::before {\n  content: \"\\f891\";\n}\n\n.fa-slash::before {\n  content: \"\\f715\";\n}\n\n.fa-computer-mouse::before {\n  content: \"\\f8cc\";\n}\n\n.fa-mouse::before {\n  content: \"\\f8cc\";\n}\n\n.fa-arrow-right-to-bracket::before {\n  content: \"\\f090\";\n}\n\n.fa-sign-in::before {\n  content: \"\\f090\";\n}\n\n.fa-shop-slash::before {\n  content: \"\\e070\";\n}\n\n.fa-store-alt-slash::before {\n  content: \"\\e070\";\n}\n\n.fa-server::before {\n  content: \"\\f233\";\n}\n\n.fa-virus-covid-slash::before {\n  content: \"\\e4a9\";\n}\n\n.fa-shop-lock::before {\n  content: \"\\e4a5\";\n}\n\n.fa-hourglass-start::before {\n  content: \"\\f251\";\n}\n\n.fa-hourglass-1::before {\n  content: \"\\f251\";\n}\n\n.fa-blender-phone::before {\n  content: \"\\f6b6\";\n}\n\n.fa-building-wheat::before {\n  content: \"\\e4db\";\n}\n\n.fa-person-breastfeeding::before {\n  content: \"\\e53a\";\n}\n\n.fa-right-to-bracket::before {\n  content: \"\\f2f6\";\n}\n\n.fa-sign-in-alt::before {\n  content: \"\\f2f6\";\n}\n\n.fa-venus::before {\n  content: \"\\f221\";\n}\n\n.fa-passport::before {\n  content: \"\\f5ab\";\n}\n\n.fa-heart-pulse::before {\n  content: \"\\f21e\";\n}\n\n.fa-heartbeat::before {\n  content: \"\\f21e\";\n}\n\n.fa-people-carry-box::before {\n  content: \"\\f4ce\";\n}\n\n.fa-people-carry::before {\n  content: \"\\f4ce\";\n}\n\n.fa-temperature-high::before {\n  content: \"\\f769\";\n}\n\n.fa-microchip::before {\n  content: \"\\f2db\";\n}\n\n.fa-crown::before {\n  content: \"\\f521\";\n}\n\n.fa-weight-hanging::before {\n  content: \"\\f5cd\";\n}\n\n.fa-xmarks-lines::before {\n  content: \"\\e59a\";\n}\n\n.fa-file-prescription::before {\n  content: \"\\f572\";\n}\n\n.fa-weight-scale::before {\n  content: \"\\f496\";\n}\n\n.fa-weight::before {\n  content: \"\\f496\";\n}\n\n.fa-user-group::before {\n  content: \"\\f500\";\n}\n\n.fa-user-friends::before {\n  content: \"\\f500\";\n}\n\n.fa-arrow-up-a-z::before {\n  content: \"\\f15e\";\n}\n\n.fa-sort-alpha-up::before {\n  content: \"\\f15e\";\n}\n\n.fa-chess-knight::before {\n  content: \"\\f441\";\n}\n\n.fa-face-laugh-squint::before {\n  content: \"\\f59b\";\n}\n\n.fa-laugh-squint::before {\n  content: \"\\f59b\";\n}\n\n.fa-wheelchair::before {\n  content: \"\\f193\";\n}\n\n.fa-circle-arrow-up::before {\n  content: \"\\f0aa\";\n}\n\n.fa-arrow-circle-up::before {\n  content: \"\\f0aa\";\n}\n\n.fa-toggle-on::before {\n  content: \"\\f205\";\n}\n\n.fa-person-walking::before {\n  content: \"\\f554\";\n}\n\n.fa-walking::before {\n  content: \"\\f554\";\n}\n\n.fa-l::before {\n  content: \"L\";\n}\n\n.fa-fire::before {\n  content: \"\\f06d\";\n}\n\n.fa-bed-pulse::before {\n  content: \"\\f487\";\n}\n\n.fa-procedures::before {\n  content: \"\\f487\";\n}\n\n.fa-shuttle-space::before {\n  content: \"\\f197\";\n}\n\n.fa-space-shuttle::before {\n  content: \"\\f197\";\n}\n\n.fa-face-laugh::before {\n  content: \"\\f599\";\n}\n\n.fa-laugh::before {\n  content: \"\\f599\";\n}\n\n.fa-folder-open::before {\n  content: \"\\f07c\";\n}\n\n.fa-heart-circle-plus::before {\n  content: \"\\e500\";\n}\n\n.fa-code-fork::before {\n  content: \"\\e13b\";\n}\n\n.fa-city::before {\n  content: \"\\f64f\";\n}\n\n.fa-microphone-lines::before {\n  content: \"\\f3c9\";\n}\n\n.fa-microphone-alt::before {\n  content: \"\\f3c9\";\n}\n\n.fa-pepper-hot::before {\n  content: \"\\f816\";\n}\n\n.fa-unlock::before {\n  content: \"\\f09c\";\n}\n\n.fa-colon-sign::before {\n  content: \"\\e140\";\n}\n\n.fa-headset::before {\n  content: \"\\f590\";\n}\n\n.fa-store-slash::before {\n  content: \"\\e071\";\n}\n\n.fa-road-circle-xmark::before {\n  content: \"\\e566\";\n}\n\n.fa-user-minus::before {\n  content: \"\\f503\";\n}\n\n.fa-mars-stroke-up::before {\n  content: \"\\f22a\";\n}\n\n.fa-mars-stroke-v::before {\n  content: \"\\f22a\";\n}\n\n.fa-champagne-glasses::before {\n  content: \"\\f79f\";\n}\n\n.fa-glass-cheers::before {\n  content: \"\\f79f\";\n}\n\n.fa-clipboard::before {\n  content: \"\\f328\";\n}\n\n.fa-house-circle-exclamation::before {\n  content: \"\\e50a\";\n}\n\n.fa-file-arrow-up::before {\n  content: \"\\f574\";\n}\n\n.fa-file-upload::before {\n  content: \"\\f574\";\n}\n\n.fa-wifi::before {\n  content: \"\\f1eb\";\n}\n\n.fa-wifi-3::before {\n  content: \"\\f1eb\";\n}\n\n.fa-wifi-strong::before {\n  content: \"\\f1eb\";\n}\n\n.fa-bath::before {\n  content: \"\\f2cd\";\n}\n\n.fa-bathtub::before {\n  content: \"\\f2cd\";\n}\n\n.fa-underline::before {\n  content: \"\\f0cd\";\n}\n\n.fa-user-pen::before {\n  content: \"\\f4ff\";\n}\n\n.fa-user-edit::before {\n  content: \"\\f4ff\";\n}\n\n.fa-signature::before {\n  content: \"\\f5b7\";\n}\n\n.fa-stroopwafel::before {\n  content: \"\\f551\";\n}\n\n.fa-bold::before {\n  content: \"\\f032\";\n}\n\n.fa-anchor-lock::before {\n  content: \"\\e4ad\";\n}\n\n.fa-building-ngo::before {\n  content: \"\\e4d7\";\n}\n\n.fa-manat-sign::before {\n  content: \"\\e1d5\";\n}\n\n.fa-not-equal::before {\n  content: \"\\f53e\";\n}\n\n.fa-border-top-left::before {\n  content: \"\\f853\";\n}\n\n.fa-border-style::before {\n  content: \"\\f853\";\n}\n\n.fa-map-location-dot::before {\n  content: \"\\f5a0\";\n}\n\n.fa-map-marked-alt::before {\n  content: \"\\f5a0\";\n}\n\n.fa-jedi::before {\n  content: \"\\f669\";\n}\n\n.fa-square-poll-vertical::before {\n  content: \"\\f681\";\n}\n\n.fa-poll::before {\n  content: \"\\f681\";\n}\n\n.fa-mug-hot::before {\n  content: \"\\f7b6\";\n}\n\n.fa-car-battery::before {\n  content: \"\\f5df\";\n}\n\n.fa-battery-car::before {\n  content: \"\\f5df\";\n}\n\n.fa-gift::before {\n  content: \"\\f06b\";\n}\n\n.fa-dice-two::before {\n  content: \"\\f528\";\n}\n\n.fa-chess-queen::before {\n  content: \"\\f445\";\n}\n\n.fa-glasses::before {\n  content: \"\\f530\";\n}\n\n.fa-chess-board::before {\n  content: \"\\f43c\";\n}\n\n.fa-building-circle-check::before {\n  content: \"\\e4d2\";\n}\n\n.fa-person-chalkboard::before {\n  content: \"\\e53d\";\n}\n\n.fa-mars-stroke-right::before {\n  content: \"\\f22b\";\n}\n\n.fa-mars-stroke-h::before {\n  content: \"\\f22b\";\n}\n\n.fa-hand-back-fist::before {\n  content: \"\\f255\";\n}\n\n.fa-hand-rock::before {\n  content: \"\\f255\";\n}\n\n.fa-square-caret-up::before {\n  content: \"\\f151\";\n}\n\n.fa-caret-square-up::before {\n  content: \"\\f151\";\n}\n\n.fa-cloud-showers-water::before {\n  content: \"\\e4e4\";\n}\n\n.fa-chart-bar::before {\n  content: \"\\f080\";\n}\n\n.fa-bar-chart::before {\n  content: \"\\f080\";\n}\n\n.fa-hands-bubbles::before {\n  content: \"\\e05e\";\n}\n\n.fa-hands-wash::before {\n  content: \"\\e05e\";\n}\n\n.fa-less-than-equal::before {\n  content: \"\\f537\";\n}\n\n.fa-train::before {\n  content: \"\\f238\";\n}\n\n.fa-eye-low-vision::before {\n  content: \"\\f2a8\";\n}\n\n.fa-low-vision::before {\n  content: \"\\f2a8\";\n}\n\n.fa-crow::before {\n  content: \"\\f520\";\n}\n\n.fa-sailboat::before {\n  content: \"\\e445\";\n}\n\n.fa-window-restore::before {\n  content: \"\\f2d2\";\n}\n\n.fa-square-plus::before {\n  content: \"\\f0fe\";\n}\n\n.fa-plus-square::before {\n  content: \"\\f0fe\";\n}\n\n.fa-torii-gate::before {\n  content: \"\\f6a1\";\n}\n\n.fa-frog::before {\n  content: \"\\f52e\";\n}\n\n.fa-bucket::before {\n  content: \"\\e4cf\";\n}\n\n.fa-image::before {\n  content: \"\\f03e\";\n}\n\n.fa-microphone::before {\n  content: \"\\f130\";\n}\n\n.fa-cow::before {\n  content: \"\\f6c8\";\n}\n\n.fa-caret-up::before {\n  content: \"\\f0d8\";\n}\n\n.fa-screwdriver::before {\n  content: \"\\f54a\";\n}\n\n.fa-folder-closed::before {\n  content: \"\\e185\";\n}\n\n.fa-house-tsunami::before {\n  content: \"\\e515\";\n}\n\n.fa-square-nfi::before {\n  content: \"\\e576\";\n}\n\n.fa-arrow-up-from-ground-water::before {\n  content: \"\\e4b5\";\n}\n\n.fa-martini-glass::before {\n  content: \"\\f57b\";\n}\n\n.fa-glass-martini-alt::before {\n  content: \"\\f57b\";\n}\n\n.fa-rotate-left::before {\n  content: \"\\f2ea\";\n}\n\n.fa-rotate-back::before {\n  content: \"\\f2ea\";\n}\n\n.fa-rotate-backward::before {\n  content: \"\\f2ea\";\n}\n\n.fa-undo-alt::before {\n  content: \"\\f2ea\";\n}\n\n.fa-table-columns::before {\n  content: \"\\f0db\";\n}\n\n.fa-columns::before {\n  content: \"\\f0db\";\n}\n\n.fa-lemon::before {\n  content: \"\\f094\";\n}\n\n.fa-head-side-mask::before {\n  content: \"\\e063\";\n}\n\n.fa-handshake::before {\n  content: \"\\f2b5\";\n}\n\n.fa-gem::before {\n  content: \"\\f3a5\";\n}\n\n.fa-dolly::before {\n  content: \"\\f472\";\n}\n\n.fa-dolly-box::before {\n  content: \"\\f472\";\n}\n\n.fa-smoking::before {\n  content: \"\\f48d\";\n}\n\n.fa-minimize::before {\n  content: \"\\f78c\";\n}\n\n.fa-compress-arrows-alt::before {\n  content: \"\\f78c\";\n}\n\n.fa-monument::before {\n  content: \"\\f5a6\";\n}\n\n.fa-snowplow::before {\n  content: \"\\f7d2\";\n}\n\n.fa-angles-right::before {\n  content: \"\\f101\";\n}\n\n.fa-angle-double-right::before {\n  content: \"\\f101\";\n}\n\n.fa-cannabis::before {\n  content: \"\\f55f\";\n}\n\n.fa-circle-play::before {\n  content: \"\\f144\";\n}\n\n.fa-play-circle::before {\n  content: \"\\f144\";\n}\n\n.fa-tablets::before {\n  content: \"\\f490\";\n}\n\n.fa-ethernet::before {\n  content: \"\\f796\";\n}\n\n.fa-euro-sign::before {\n  content: \"\\f153\";\n}\n\n.fa-eur::before {\n  content: \"\\f153\";\n}\n\n.fa-euro::before {\n  content: \"\\f153\";\n}\n\n.fa-chair::before {\n  content: \"\\f6c0\";\n}\n\n.fa-circle-check::before {\n  content: \"\\f058\";\n}\n\n.fa-check-circle::before {\n  content: \"\\f058\";\n}\n\n.fa-circle-stop::before {\n  content: \"\\f28d\";\n}\n\n.fa-stop-circle::before {\n  content: \"\\f28d\";\n}\n\n.fa-compass-drafting::before {\n  content: \"\\f568\";\n}\n\n.fa-drafting-compass::before {\n  content: \"\\f568\";\n}\n\n.fa-plate-wheat::before {\n  content: \"\\e55a\";\n}\n\n.fa-icicles::before {\n  content: \"\\f7ad\";\n}\n\n.fa-person-shelter::before {\n  content: \"\\e54f\";\n}\n\n.fa-neuter::before {\n  content: \"\\f22c\";\n}\n\n.fa-id-badge::before {\n  content: \"\\f2c1\";\n}\n\n.fa-marker::before {\n  content: \"\\f5a1\";\n}\n\n.fa-face-laugh-beam::before {\n  content: \"\\f59a\";\n}\n\n.fa-laugh-beam::before {\n  content: \"\\f59a\";\n}\n\n.fa-helicopter-symbol::before {\n  content: \"\\e502\";\n}\n\n.fa-universal-access::before {\n  content: \"\\f29a\";\n}\n\n.fa-circle-chevron-up::before {\n  content: \"\\f139\";\n}\n\n.fa-chevron-circle-up::before {\n  content: \"\\f139\";\n}\n\n.fa-lari-sign::before {\n  content: \"\\e1c8\";\n}\n\n.fa-volcano::before {\n  content: \"\\f770\";\n}\n\n.fa-person-walking-dashed-line-arrow-right::before {\n  content: \"\\e553\";\n}\n\n.fa-sterling-sign::before {\n  content: \"\\f154\";\n}\n\n.fa-gbp::before {\n  content: \"\\f154\";\n}\n\n.fa-pound-sign::before {\n  content: \"\\f154\";\n}\n\n.fa-viruses::before {\n  content: \"\\e076\";\n}\n\n.fa-square-person-confined::before {\n  content: \"\\e577\";\n}\n\n.fa-user-tie::before {\n  content: \"\\f508\";\n}\n\n.fa-arrow-down-long::before {\n  content: \"\\f175\";\n}\n\n.fa-long-arrow-down::before {\n  content: \"\\f175\";\n}\n\n.fa-tent-arrow-down-to-line::before {\n  content: \"\\e57e\";\n}\n\n.fa-certificate::before {\n  content: \"\\f0a3\";\n}\n\n.fa-reply-all::before {\n  content: \"\\f122\";\n}\n\n.fa-mail-reply-all::before {\n  content: \"\\f122\";\n}\n\n.fa-suitcase::before {\n  content: \"\\f0f2\";\n}\n\n.fa-person-skating::before {\n  content: \"\\f7c5\";\n}\n\n.fa-skating::before {\n  content: \"\\f7c5\";\n}\n\n.fa-filter-circle-dollar::before {\n  content: \"\\f662\";\n}\n\n.fa-funnel-dollar::before {\n  content: \"\\f662\";\n}\n\n.fa-camera-retro::before {\n  content: \"\\f083\";\n}\n\n.fa-circle-arrow-down::before {\n  content: \"\\f0ab\";\n}\n\n.fa-arrow-circle-down::before {\n  content: \"\\f0ab\";\n}\n\n.fa-file-import::before {\n  content: \"\\f56f\";\n}\n\n.fa-arrow-right-to-file::before {\n  content: \"\\f56f\";\n}\n\n.fa-square-arrow-up-right::before {\n  content: \"\\f14c\";\n}\n\n.fa-external-link-square::before {\n  content: \"\\f14c\";\n}\n\n.fa-box-open::before {\n  content: \"\\f49e\";\n}\n\n.fa-scroll::before {\n  content: \"\\f70e\";\n}\n\n.fa-spa::before {\n  content: \"\\f5bb\";\n}\n\n.fa-location-pin-lock::before {\n  content: \"\\e51f\";\n}\n\n.fa-pause::before {\n  content: \"\\f04c\";\n}\n\n.fa-hill-avalanche::before {\n  content: \"\\e507\";\n}\n\n.fa-temperature-empty::before {\n  content: \"\\f2cb\";\n}\n\n.fa-temperature-0::before {\n  content: \"\\f2cb\";\n}\n\n.fa-thermometer-0::before {\n  content: \"\\f2cb\";\n}\n\n.fa-thermometer-empty::before {\n  content: \"\\f2cb\";\n}\n\n.fa-bomb::before {\n  content: \"\\f1e2\";\n}\n\n.fa-registered::before {\n  content: \"\\f25d\";\n}\n\n.fa-address-card::before {\n  content: \"\\f2bb\";\n}\n\n.fa-contact-card::before {\n  content: \"\\f2bb\";\n}\n\n.fa-vcard::before {\n  content: \"\\f2bb\";\n}\n\n.fa-scale-unbalanced-flip::before {\n  content: \"\\f516\";\n}\n\n.fa-balance-scale-right::before {\n  content: \"\\f516\";\n}\n\n.fa-subscript::before {\n  content: \"\\f12c\";\n}\n\n.fa-diamond-turn-right::before {\n  content: \"\\f5eb\";\n}\n\n.fa-directions::before {\n  content: \"\\f5eb\";\n}\n\n.fa-burst::before {\n  content: \"\\e4dc\";\n}\n\n.fa-house-laptop::before {\n  content: \"\\e066\";\n}\n\n.fa-laptop-house::before {\n  content: \"\\e066\";\n}\n\n.fa-face-tired::before {\n  content: \"\\f5c8\";\n}\n\n.fa-tired::before {\n  content: \"\\f5c8\";\n}\n\n.fa-money-bills::before {\n  content: \"\\e1f3\";\n}\n\n.fa-smog::before {\n  content: \"\\f75f\";\n}\n\n.fa-crutch::before {\n  content: \"\\f7f7\";\n}\n\n.fa-cloud-arrow-up::before {\n  content: \"\\f0ee\";\n}\n\n.fa-cloud-upload::before {\n  content: \"\\f0ee\";\n}\n\n.fa-cloud-upload-alt::before {\n  content: \"\\f0ee\";\n}\n\n.fa-palette::before {\n  content: \"\\f53f\";\n}\n\n.fa-arrows-turn-right::before {\n  content: \"\\e4c0\";\n}\n\n.fa-vest::before {\n  content: \"\\e085\";\n}\n\n.fa-ferry::before {\n  content: \"\\e4ea\";\n}\n\n.fa-arrows-down-to-people::before {\n  content: \"\\e4b9\";\n}\n\n.fa-seedling::before {\n  content: \"\\f4d8\";\n}\n\n.fa-sprout::before {\n  content: \"\\f4d8\";\n}\n\n.fa-left-right::before {\n  content: \"\\f337\";\n}\n\n.fa-arrows-alt-h::before {\n  content: \"\\f337\";\n}\n\n.fa-boxes-packing::before {\n  content: \"\\e4c7\";\n}\n\n.fa-circle-arrow-left::before {\n  content: \"\\f0a8\";\n}\n\n.fa-arrow-circle-left::before {\n  content: \"\\f0a8\";\n}\n\n.fa-group-arrows-rotate::before {\n  content: \"\\e4f6\";\n}\n\n.fa-bowl-food::before {\n  content: \"\\e4c6\";\n}\n\n.fa-candy-cane::before {\n  content: \"\\f786\";\n}\n\n.fa-arrow-down-wide-short::before {\n  content: \"\\f160\";\n}\n\n.fa-sort-amount-asc::before {\n  content: \"\\f160\";\n}\n\n.fa-sort-amount-down::before {\n  content: \"\\f160\";\n}\n\n.fa-cloud-bolt::before {\n  content: \"\\f76c\";\n}\n\n.fa-thunderstorm::before {\n  content: \"\\f76c\";\n}\n\n.fa-text-slash::before {\n  content: \"\\f87d\";\n}\n\n.fa-remove-format::before {\n  content: \"\\f87d\";\n}\n\n.fa-face-smile-wink::before {\n  content: \"\\f4da\";\n}\n\n.fa-smile-wink::before {\n  content: \"\\f4da\";\n}\n\n.fa-file-word::before {\n  content: \"\\f1c2\";\n}\n\n.fa-file-powerpoint::before {\n  content: \"\\f1c4\";\n}\n\n.fa-arrows-left-right::before {\n  content: \"\\f07e\";\n}\n\n.fa-arrows-h::before {\n  content: \"\\f07e\";\n}\n\n.fa-house-lock::before {\n  content: \"\\e510\";\n}\n\n.fa-cloud-arrow-down::before {\n  content: \"\\f0ed\";\n}\n\n.fa-cloud-download::before {\n  content: \"\\f0ed\";\n}\n\n.fa-cloud-download-alt::before {\n  content: \"\\f0ed\";\n}\n\n.fa-children::before {\n  content: \"\\e4e1\";\n}\n\n.fa-chalkboard::before {\n  content: \"\\f51b\";\n}\n\n.fa-blackboard::before {\n  content: \"\\f51b\";\n}\n\n.fa-user-large-slash::before {\n  content: \"\\f4fa\";\n}\n\n.fa-user-alt-slash::before {\n  content: \"\\f4fa\";\n}\n\n.fa-envelope-open::before {\n  content: \"\\f2b6\";\n}\n\n.fa-handshake-simple-slash::before {\n  content: \"\\e05f\";\n}\n\n.fa-handshake-alt-slash::before {\n  content: \"\\e05f\";\n}\n\n.fa-mattress-pillow::before {\n  content: \"\\e525\";\n}\n\n.fa-guarani-sign::before {\n  content: \"\\e19a\";\n}\n\n.fa-arrows-rotate::before {\n  content: \"\\f021\";\n}\n\n.fa-refresh::before {\n  content: \"\\f021\";\n}\n\n.fa-sync::before {\n  content: \"\\f021\";\n}\n\n.fa-fire-extinguisher::before {\n  content: \"\\f134\";\n}\n\n.fa-cruzeiro-sign::before {\n  content: \"\\e152\";\n}\n\n.fa-greater-than-equal::before {\n  content: \"\\f532\";\n}\n\n.fa-shield-halved::before {\n  content: \"\\f3ed\";\n}\n\n.fa-shield-alt::before {\n  content: \"\\f3ed\";\n}\n\n.fa-book-atlas::before {\n  content: \"\\f558\";\n}\n\n.fa-atlas::before {\n  content: \"\\f558\";\n}\n\n.fa-virus::before {\n  content: \"\\e074\";\n}\n\n.fa-envelope-circle-check::before {\n  content: \"\\e4e8\";\n}\n\n.fa-layer-group::before {\n  content: \"\\f5fd\";\n}\n\n.fa-arrows-to-dot::before {\n  content: \"\\e4be\";\n}\n\n.fa-archway::before {\n  content: \"\\f557\";\n}\n\n.fa-heart-circle-check::before {\n  content: \"\\e4fd\";\n}\n\n.fa-house-chimney-crack::before {\n  content: \"\\f6f1\";\n}\n\n.fa-house-damage::before {\n  content: \"\\f6f1\";\n}\n\n.fa-file-zipper::before {\n  content: \"\\f1c6\";\n}\n\n.fa-file-archive::before {\n  content: \"\\f1c6\";\n}\n\n.fa-square::before {\n  content: \"\\f0c8\";\n}\n\n.fa-martini-glass-empty::before {\n  content: \"\\f000\";\n}\n\n.fa-glass-martini::before {\n  content: \"\\f000\";\n}\n\n.fa-couch::before {\n  content: \"\\f4b8\";\n}\n\n.fa-cedi-sign::before {\n  content: \"\\e0df\";\n}\n\n.fa-italic::before {\n  content: \"\\f033\";\n}\n\n.fa-table-cells-column-lock::before {\n  content: \"\\e678\";\n}\n\n.fa-church::before {\n  content: \"\\f51d\";\n}\n\n.fa-comments-dollar::before {\n  content: \"\\f653\";\n}\n\n.fa-democrat::before {\n  content: \"\\f747\";\n}\n\n.fa-z::before {\n  content: \"Z\";\n}\n\n.fa-person-skiing::before {\n  content: \"\\f7c9\";\n}\n\n.fa-skiing::before {\n  content: \"\\f7c9\";\n}\n\n.fa-road-lock::before {\n  content: \"\\e567\";\n}\n\n.fa-a::before {\n  content: \"A\";\n}\n\n.fa-temperature-arrow-down::before {\n  content: \"\\e03f\";\n}\n\n.fa-temperature-down::before {\n  content: \"\\e03f\";\n}\n\n.fa-feather-pointed::before {\n  content: \"\\f56b\";\n}\n\n.fa-feather-alt::before {\n  content: \"\\f56b\";\n}\n\n.fa-p::before {\n  content: \"P\";\n}\n\n.fa-snowflake::before {\n  content: \"\\f2dc\";\n}\n\n.fa-newspaper::before {\n  content: \"\\f1ea\";\n}\n\n.fa-rectangle-ad::before {\n  content: \"\\f641\";\n}\n\n.fa-ad::before {\n  content: \"\\f641\";\n}\n\n.fa-circle-arrow-right::before {\n  content: \"\\f0a9\";\n}\n\n.fa-arrow-circle-right::before {\n  content: \"\\f0a9\";\n}\n\n.fa-filter-circle-xmark::before {\n  content: \"\\e17b\";\n}\n\n.fa-locust::before {\n  content: \"\\e520\";\n}\n\n.fa-sort::before {\n  content: \"\\f0dc\";\n}\n\n.fa-unsorted::before {\n  content: \"\\f0dc\";\n}\n\n.fa-list-ol::before {\n  content: \"\\f0cb\";\n}\n\n.fa-list-1-2::before {\n  content: \"\\f0cb\";\n}\n\n.fa-list-numeric::before {\n  content: \"\\f0cb\";\n}\n\n.fa-person-dress-burst::before {\n  content: \"\\e544\";\n}\n\n.fa-money-check-dollar::before {\n  content: \"\\f53d\";\n}\n\n.fa-money-check-alt::before {\n  content: \"\\f53d\";\n}\n\n.fa-vector-square::before {\n  content: \"\\f5cb\";\n}\n\n.fa-bread-slice::before {\n  content: \"\\f7ec\";\n}\n\n.fa-language::before {\n  content: \"\\f1ab\";\n}\n\n.fa-face-kiss-wink-heart::before {\n  content: \"\\f598\";\n}\n\n.fa-kiss-wink-heart::before {\n  content: \"\\f598\";\n}\n\n.fa-filter::before {\n  content: \"\\f0b0\";\n}\n\n.fa-question::before {\n  content: \"\\?\";\n}\n\n.fa-file-signature::before {\n  content: \"\\f573\";\n}\n\n.fa-up-down-left-right::before {\n  content: \"\\f0b2\";\n}\n\n.fa-arrows-alt::before {\n  content: \"\\f0b2\";\n}\n\n.fa-house-chimney-user::before {\n  content: \"\\e065\";\n}\n\n.fa-hand-holding-heart::before {\n  content: \"\\f4be\";\n}\n\n.fa-puzzle-piece::before {\n  content: \"\\f12e\";\n}\n\n.fa-money-check::before {\n  content: \"\\f53c\";\n}\n\n.fa-star-half-stroke::before {\n  content: \"\\f5c0\";\n}\n\n.fa-star-half-alt::before {\n  content: \"\\f5c0\";\n}\n\n.fa-code::before {\n  content: \"\\f121\";\n}\n\n.fa-whiskey-glass::before {\n  content: \"\\f7a0\";\n}\n\n.fa-glass-whiskey::before {\n  content: \"\\f7a0\";\n}\n\n.fa-building-circle-exclamation::before {\n  content: \"\\e4d3\";\n}\n\n.fa-magnifying-glass-chart::before {\n  content: \"\\e522\";\n}\n\n.fa-arrow-up-right-from-square::before {\n  content: \"\\f08e\";\n}\n\n.fa-external-link::before {\n  content: \"\\f08e\";\n}\n\n.fa-cubes-stacked::before {\n  content: \"\\e4e6\";\n}\n\n.fa-won-sign::before {\n  content: \"\\f159\";\n}\n\n.fa-krw::before {\n  content: \"\\f159\";\n}\n\n.fa-won::before {\n  content: \"\\f159\";\n}\n\n.fa-virus-covid::before {\n  content: \"\\e4a8\";\n}\n\n.fa-austral-sign::before {\n  content: \"\\e0a9\";\n}\n\n.fa-f::before {\n  content: \"F\";\n}\n\n.fa-leaf::before {\n  content: \"\\f06c\";\n}\n\n.fa-road::before {\n  content: \"\\f018\";\n}\n\n.fa-taxi::before {\n  content: \"\\f1ba\";\n}\n\n.fa-cab::before {\n  content: \"\\f1ba\";\n}\n\n.fa-person-circle-plus::before {\n  content: \"\\e541\";\n}\n\n.fa-chart-pie::before {\n  content: \"\\f200\";\n}\n\n.fa-pie-chart::before {\n  content: \"\\f200\";\n}\n\n.fa-bolt-lightning::before {\n  content: \"\\e0b7\";\n}\n\n.fa-sack-xmark::before {\n  content: \"\\e56a\";\n}\n\n.fa-file-excel::before {\n  content: \"\\f1c3\";\n}\n\n.fa-file-contract::before {\n  content: \"\\f56c\";\n}\n\n.fa-fish-fins::before {\n  content: \"\\e4f2\";\n}\n\n.fa-building-flag::before {\n  content: \"\\e4d5\";\n}\n\n.fa-face-grin-beam::before {\n  content: \"\\f582\";\n}\n\n.fa-grin-beam::before {\n  content: \"\\f582\";\n}\n\n.fa-object-ungroup::before {\n  content: \"\\f248\";\n}\n\n.fa-poop::before {\n  content: \"\\f619\";\n}\n\n.fa-location-pin::before {\n  content: \"\\f041\";\n}\n\n.fa-map-marker::before {\n  content: \"\\f041\";\n}\n\n.fa-kaaba::before {\n  content: \"\\f66b\";\n}\n\n.fa-toilet-paper::before {\n  content: \"\\f71e\";\n}\n\n.fa-helmet-safety::before {\n  content: \"\\f807\";\n}\n\n.fa-hard-hat::before {\n  content: \"\\f807\";\n}\n\n.fa-hat-hard::before {\n  content: \"\\f807\";\n}\n\n.fa-eject::before {\n  content: \"\\f052\";\n}\n\n.fa-circle-right::before {\n  content: \"\\f35a\";\n}\n\n.fa-arrow-alt-circle-right::before {\n  content: \"\\f35a\";\n}\n\n.fa-plane-circle-check::before {\n  content: \"\\e555\";\n}\n\n.fa-face-rolling-eyes::before {\n  content: \"\\f5a5\";\n}\n\n.fa-meh-rolling-eyes::before {\n  content: \"\\f5a5\";\n}\n\n.fa-object-group::before {\n  content: \"\\f247\";\n}\n\n.fa-chart-line::before {\n  content: \"\\f201\";\n}\n\n.fa-line-chart::before {\n  content: \"\\f201\";\n}\n\n.fa-mask-ventilator::before {\n  content: \"\\e524\";\n}\n\n.fa-arrow-right::before {\n  content: \"\\f061\";\n}\n\n.fa-signs-post::before {\n  content: \"\\f277\";\n}\n\n.fa-map-signs::before {\n  content: \"\\f277\";\n}\n\n.fa-cash-register::before {\n  content: \"\\f788\";\n}\n\n.fa-person-circle-question::before {\n  content: \"\\e542\";\n}\n\n.fa-h::before {\n  content: \"H\";\n}\n\n.fa-tarp::before {\n  content: \"\\e57b\";\n}\n\n.fa-screwdriver-wrench::before {\n  content: \"\\f7d9\";\n}\n\n.fa-tools::before {\n  content: \"\\f7d9\";\n}\n\n.fa-arrows-to-eye::before {\n  content: \"\\e4bf\";\n}\n\n.fa-plug-circle-bolt::before {\n  content: \"\\e55b\";\n}\n\n.fa-heart::before {\n  content: \"\\f004\";\n}\n\n.fa-mars-and-venus::before {\n  content: \"\\f224\";\n}\n\n.fa-house-user::before {\n  content: \"\\e1b0\";\n}\n\n.fa-home-user::before {\n  content: \"\\e1b0\";\n}\n\n.fa-dumpster-fire::before {\n  content: \"\\f794\";\n}\n\n.fa-house-crack::before {\n  content: \"\\e3b1\";\n}\n\n.fa-martini-glass-citrus::before {\n  content: \"\\f561\";\n}\n\n.fa-cocktail::before {\n  content: \"\\f561\";\n}\n\n.fa-face-surprise::before {\n  content: \"\\f5c2\";\n}\n\n.fa-surprise::before {\n  content: \"\\f5c2\";\n}\n\n.fa-bottle-water::before {\n  content: \"\\e4c5\";\n}\n\n.fa-circle-pause::before {\n  content: \"\\f28b\";\n}\n\n.fa-pause-circle::before {\n  content: \"\\f28b\";\n}\n\n.fa-toilet-paper-slash::before {\n  content: \"\\e072\";\n}\n\n.fa-apple-whole::before {\n  content: \"\\f5d1\";\n}\n\n.fa-apple-alt::before {\n  content: \"\\f5d1\";\n}\n\n.fa-kitchen-set::before {\n  content: \"\\e51a\";\n}\n\n.fa-r::before {\n  content: \"R\";\n}\n\n.fa-temperature-quarter::before {\n  content: \"\\f2ca\";\n}\n\n.fa-temperature-1::before {\n  content: \"\\f2ca\";\n}\n\n.fa-thermometer-1::before {\n  content: \"\\f2ca\";\n}\n\n.fa-thermometer-quarter::before {\n  content: \"\\f2ca\";\n}\n\n.fa-cube::before {\n  content: \"\\f1b2\";\n}\n\n.fa-bitcoin-sign::before {\n  content: \"\\e0b4\";\n}\n\n.fa-shield-dog::before {\n  content: \"\\e573\";\n}\n\n.fa-solar-panel::before {\n  content: \"\\f5ba\";\n}\n\n.fa-lock-open::before {\n  content: \"\\f3c1\";\n}\n\n.fa-elevator::before {\n  content: \"\\e16d\";\n}\n\n.fa-money-bill-transfer::before {\n  content: \"\\e528\";\n}\n\n.fa-money-bill-trend-up::before {\n  content: \"\\e529\";\n}\n\n.fa-house-flood-water-circle-arrow-right::before {\n  content: \"\\e50f\";\n}\n\n.fa-square-poll-horizontal::before {\n  content: \"\\f682\";\n}\n\n.fa-poll-h::before {\n  content: \"\\f682\";\n}\n\n.fa-circle::before {\n  content: \"\\f111\";\n}\n\n.fa-backward-fast::before {\n  content: \"\\f049\";\n}\n\n.fa-fast-backward::before {\n  content: \"\\f049\";\n}\n\n.fa-recycle::before {\n  content: \"\\f1b8\";\n}\n\n.fa-user-astronaut::before {\n  content: \"\\f4fb\";\n}\n\n.fa-plane-slash::before {\n  content: \"\\e069\";\n}\n\n.fa-trademark::before {\n  content: \"\\f25c\";\n}\n\n.fa-basketball::before {\n  content: \"\\f434\";\n}\n\n.fa-basketball-ball::before {\n  content: \"\\f434\";\n}\n\n.fa-satellite-dish::before {\n  content: \"\\f7c0\";\n}\n\n.fa-circle-up::before {\n  content: \"\\f35b\";\n}\n\n.fa-arrow-alt-circle-up::before {\n  content: \"\\f35b\";\n}\n\n.fa-mobile-screen-button::before {\n  content: \"\\f3cd\";\n}\n\n.fa-mobile-alt::before {\n  content: \"\\f3cd\";\n}\n\n.fa-volume-high::before {\n  content: \"\\f028\";\n}\n\n.fa-volume-up::before {\n  content: \"\\f028\";\n}\n\n.fa-users-rays::before {\n  content: \"\\e593\";\n}\n\n.fa-wallet::before {\n  content: \"\\f555\";\n}\n\n.fa-clipboard-check::before {\n  content: \"\\f46c\";\n}\n\n.fa-file-audio::before {\n  content: \"\\f1c7\";\n}\n\n.fa-burger::before {\n  content: \"\\f805\";\n}\n\n.fa-hamburger::before {\n  content: \"\\f805\";\n}\n\n.fa-wrench::before {\n  content: \"\\f0ad\";\n}\n\n.fa-bugs::before {\n  content: \"\\e4d0\";\n}\n\n.fa-rupee-sign::before {\n  content: \"\\f156\";\n}\n\n.fa-rupee::before {\n  content: \"\\f156\";\n}\n\n.fa-file-image::before {\n  content: \"\\f1c5\";\n}\n\n.fa-circle-question::before {\n  content: \"\\f059\";\n}\n\n.fa-question-circle::before {\n  content: \"\\f059\";\n}\n\n.fa-plane-departure::before {\n  content: \"\\f5b0\";\n}\n\n.fa-handshake-slash::before {\n  content: \"\\e060\";\n}\n\n.fa-book-bookmark::before {\n  content: \"\\e0bb\";\n}\n\n.fa-code-branch::before {\n  content: \"\\f126\";\n}\n\n.fa-hat-cowboy::before {\n  content: \"\\f8c0\";\n}\n\n.fa-bridge::before {\n  content: \"\\e4c8\";\n}\n\n.fa-phone-flip::before {\n  content: \"\\f879\";\n}\n\n.fa-phone-alt::before {\n  content: \"\\f879\";\n}\n\n.fa-truck-front::before {\n  content: \"\\e2b7\";\n}\n\n.fa-cat::before {\n  content: \"\\f6be\";\n}\n\n.fa-anchor-circle-exclamation::before {\n  content: \"\\e4ab\";\n}\n\n.fa-truck-field::before {\n  content: \"\\e58d\";\n}\n\n.fa-route::before {\n  content: \"\\f4d7\";\n}\n\n.fa-clipboard-question::before {\n  content: \"\\e4e3\";\n}\n\n.fa-panorama::before {\n  content: \"\\e209\";\n}\n\n.fa-comment-medical::before {\n  content: \"\\f7f5\";\n}\n\n.fa-teeth-open::before {\n  content: \"\\f62f\";\n}\n\n.fa-file-circle-minus::before {\n  content: \"\\e4ed\";\n}\n\n.fa-tags::before {\n  content: \"\\f02c\";\n}\n\n.fa-wine-glass::before {\n  content: \"\\f4e3\";\n}\n\n.fa-forward-fast::before {\n  content: \"\\f050\";\n}\n\n.fa-fast-forward::before {\n  content: \"\\f050\";\n}\n\n.fa-face-meh-blank::before {\n  content: \"\\f5a4\";\n}\n\n.fa-meh-blank::before {\n  content: \"\\f5a4\";\n}\n\n.fa-square-parking::before {\n  content: \"\\f540\";\n}\n\n.fa-parking::before {\n  content: \"\\f540\";\n}\n\n.fa-house-signal::before {\n  content: \"\\e012\";\n}\n\n.fa-bars-progress::before {\n  content: \"\\f828\";\n}\n\n.fa-tasks-alt::before {\n  content: \"\\f828\";\n}\n\n.fa-faucet-drip::before {\n  content: \"\\e006\";\n}\n\n.fa-cart-flatbed::before {\n  content: \"\\f474\";\n}\n\n.fa-dolly-flatbed::before {\n  content: \"\\f474\";\n}\n\n.fa-ban-smoking::before {\n  content: \"\\f54d\";\n}\n\n.fa-smoking-ban::before {\n  content: \"\\f54d\";\n}\n\n.fa-terminal::before {\n  content: \"\\f120\";\n}\n\n.fa-mobile-button::before {\n  content: \"\\f10b\";\n}\n\n.fa-house-medical-flag::before {\n  content: \"\\e514\";\n}\n\n.fa-basket-shopping::before {\n  content: \"\\f291\";\n}\n\n.fa-shopping-basket::before {\n  content: \"\\f291\";\n}\n\n.fa-tape::before {\n  content: \"\\f4db\";\n}\n\n.fa-bus-simple::before {\n  content: \"\\f55e\";\n}\n\n.fa-bus-alt::before {\n  content: \"\\f55e\";\n}\n\n.fa-eye::before {\n  content: \"\\f06e\";\n}\n\n.fa-face-sad-cry::before {\n  content: \"\\f5b3\";\n}\n\n.fa-sad-cry::before {\n  content: \"\\f5b3\";\n}\n\n.fa-audio-description::before {\n  content: \"\\f29e\";\n}\n\n.fa-person-military-to-person::before {\n  content: \"\\e54c\";\n}\n\n.fa-file-shield::before {\n  content: \"\\e4f0\";\n}\n\n.fa-user-slash::before {\n  content: \"\\f506\";\n}\n\n.fa-pen::before {\n  content: \"\\f304\";\n}\n\n.fa-tower-observation::before {\n  content: \"\\e586\";\n}\n\n.fa-file-code::before {\n  content: \"\\f1c9\";\n}\n\n.fa-signal::before {\n  content: \"\\f012\";\n}\n\n.fa-signal-5::before {\n  content: \"\\f012\";\n}\n\n.fa-signal-perfect::before {\n  content: \"\\f012\";\n}\n\n.fa-bus::before {\n  content: \"\\f207\";\n}\n\n.fa-heart-circle-xmark::before {\n  content: \"\\e501\";\n}\n\n.fa-house-chimney::before {\n  content: \"\\e3af\";\n}\n\n.fa-home-lg::before {\n  content: \"\\e3af\";\n}\n\n.fa-window-maximize::before {\n  content: \"\\f2d0\";\n}\n\n.fa-face-frown::before {\n  content: \"\\f119\";\n}\n\n.fa-frown::before {\n  content: \"\\f119\";\n}\n\n.fa-prescription::before {\n  content: \"\\f5b1\";\n}\n\n.fa-shop::before {\n  content: \"\\f54f\";\n}\n\n.fa-store-alt::before {\n  content: \"\\f54f\";\n}\n\n.fa-floppy-disk::before {\n  content: \"\\f0c7\";\n}\n\n.fa-save::before {\n  content: \"\\f0c7\";\n}\n\n.fa-vihara::before {\n  content: \"\\f6a7\";\n}\n\n.fa-scale-unbalanced::before {\n  content: \"\\f515\";\n}\n\n.fa-balance-scale-left::before {\n  content: \"\\f515\";\n}\n\n.fa-sort-up::before {\n  content: \"\\f0de\";\n}\n\n.fa-sort-asc::before {\n  content: \"\\f0de\";\n}\n\n.fa-comment-dots::before {\n  content: \"\\f4ad\";\n}\n\n.fa-commenting::before {\n  content: \"\\f4ad\";\n}\n\n.fa-plant-wilt::before {\n  content: \"\\e5aa\";\n}\n\n.fa-diamond::before {\n  content: \"\\f219\";\n}\n\n.fa-face-grin-squint::before {\n  content: \"\\f585\";\n}\n\n.fa-grin-squint::before {\n  content: \"\\f585\";\n}\n\n.fa-hand-holding-dollar::before {\n  content: \"\\f4c0\";\n}\n\n.fa-hand-holding-usd::before {\n  content: \"\\f4c0\";\n}\n\n.fa-bacterium::before {\n  content: \"\\e05a\";\n}\n\n.fa-hand-pointer::before {\n  content: \"\\f25a\";\n}\n\n.fa-drum-steelpan::before {\n  content: \"\\f56a\";\n}\n\n.fa-hand-scissors::before {\n  content: \"\\f257\";\n}\n\n.fa-hands-praying::before {\n  content: \"\\f684\";\n}\n\n.fa-praying-hands::before {\n  content: \"\\f684\";\n}\n\n.fa-arrow-rotate-right::before {\n  content: \"\\f01e\";\n}\n\n.fa-arrow-right-rotate::before {\n  content: \"\\f01e\";\n}\n\n.fa-arrow-rotate-forward::before {\n  content: \"\\f01e\";\n}\n\n.fa-redo::before {\n  content: \"\\f01e\";\n}\n\n.fa-biohazard::before {\n  content: \"\\f780\";\n}\n\n.fa-location-crosshairs::before {\n  content: \"\\f601\";\n}\n\n.fa-location::before {\n  content: \"\\f601\";\n}\n\n.fa-mars-double::before {\n  content: \"\\f227\";\n}\n\n.fa-child-dress::before {\n  content: \"\\e59c\";\n}\n\n.fa-users-between-lines::before {\n  content: \"\\e591\";\n}\n\n.fa-lungs-virus::before {\n  content: \"\\e067\";\n}\n\n.fa-face-grin-tears::before {\n  content: \"\\f588\";\n}\n\n.fa-grin-tears::before {\n  content: \"\\f588\";\n}\n\n.fa-phone::before {\n  content: \"\\f095\";\n}\n\n.fa-calendar-xmark::before {\n  content: \"\\f273\";\n}\n\n.fa-calendar-times::before {\n  content: \"\\f273\";\n}\n\n.fa-child-reaching::before {\n  content: \"\\e59d\";\n}\n\n.fa-head-side-virus::before {\n  content: \"\\e064\";\n}\n\n.fa-user-gear::before {\n  content: \"\\f4fe\";\n}\n\n.fa-user-cog::before {\n  content: \"\\f4fe\";\n}\n\n.fa-arrow-up-1-9::before {\n  content: \"\\f163\";\n}\n\n.fa-sort-numeric-up::before {\n  content: \"\\f163\";\n}\n\n.fa-door-closed::before {\n  content: \"\\f52a\";\n}\n\n.fa-shield-virus::before {\n  content: \"\\e06c\";\n}\n\n.fa-dice-six::before {\n  content: \"\\f526\";\n}\n\n.fa-mosquito-net::before {\n  content: \"\\e52c\";\n}\n\n.fa-bridge-water::before {\n  content: \"\\e4ce\";\n}\n\n.fa-person-booth::before {\n  content: \"\\f756\";\n}\n\n.fa-text-width::before {\n  content: \"\\f035\";\n}\n\n.fa-hat-wizard::before {\n  content: \"\\f6e8\";\n}\n\n.fa-pen-fancy::before {\n  content: \"\\f5ac\";\n}\n\n.fa-person-digging::before {\n  content: \"\\f85e\";\n}\n\n.fa-digging::before {\n  content: \"\\f85e\";\n}\n\n.fa-trash::before {\n  content: \"\\f1f8\";\n}\n\n.fa-gauge-simple::before {\n  content: \"\\f629\";\n}\n\n.fa-gauge-simple-med::before {\n  content: \"\\f629\";\n}\n\n.fa-tachometer-average::before {\n  content: \"\\f629\";\n}\n\n.fa-book-medical::before {\n  content: \"\\f7e6\";\n}\n\n.fa-poo::before {\n  content: \"\\f2fe\";\n}\n\n.fa-quote-right::before {\n  content: \"\\f10e\";\n}\n\n.fa-quote-right-alt::before {\n  content: \"\\f10e\";\n}\n\n.fa-shirt::before {\n  content: \"\\f553\";\n}\n\n.fa-t-shirt::before {\n  content: \"\\f553\";\n}\n\n.fa-tshirt::before {\n  content: \"\\f553\";\n}\n\n.fa-cubes::before {\n  content: \"\\f1b3\";\n}\n\n.fa-divide::before {\n  content: \"\\f529\";\n}\n\n.fa-tenge-sign::before {\n  content: \"\\f7d7\";\n}\n\n.fa-tenge::before {\n  content: \"\\f7d7\";\n}\n\n.fa-headphones::before {\n  content: \"\\f025\";\n}\n\n.fa-hands-holding::before {\n  content: \"\\f4c2\";\n}\n\n.fa-hands-clapping::before {\n  content: \"\\e1a8\";\n}\n\n.fa-republican::before {\n  content: \"\\f75e\";\n}\n\n.fa-arrow-left::before {\n  content: \"\\f060\";\n}\n\n.fa-person-circle-xmark::before {\n  content: \"\\e543\";\n}\n\n.fa-ruler::before {\n  content: \"\\f545\";\n}\n\n.fa-align-left::before {\n  content: \"\\f036\";\n}\n\n.fa-dice-d6::before {\n  content: \"\\f6d1\";\n}\n\n.fa-restroom::before {\n  content: \"\\f7bd\";\n}\n\n.fa-j::before {\n  content: \"J\";\n}\n\n.fa-users-viewfinder::before {\n  content: \"\\e595\";\n}\n\n.fa-file-video::before {\n  content: \"\\f1c8\";\n}\n\n.fa-up-right-from-square::before {\n  content: \"\\f35d\";\n}\n\n.fa-external-link-alt::before {\n  content: \"\\f35d\";\n}\n\n.fa-table-cells::before {\n  content: \"\\f00a\";\n}\n\n.fa-th::before {\n  content: \"\\f00a\";\n}\n\n.fa-file-pdf::before {\n  content: \"\\f1c1\";\n}\n\n.fa-book-bible::before {\n  content: \"\\f647\";\n}\n\n.fa-bible::before {\n  content: \"\\f647\";\n}\n\n.fa-o::before {\n  content: \"O\";\n}\n\n.fa-suitcase-medical::before {\n  content: \"\\f0fa\";\n}\n\n.fa-medkit::before {\n  content: \"\\f0fa\";\n}\n\n.fa-user-secret::before {\n  content: \"\\f21b\";\n}\n\n.fa-otter::before {\n  content: \"\\f700\";\n}\n\n.fa-person-dress::before {\n  content: \"\\f182\";\n}\n\n.fa-female::before {\n  content: \"\\f182\";\n}\n\n.fa-comment-dollar::before {\n  content: \"\\f651\";\n}\n\n.fa-business-time::before {\n  content: \"\\f64a\";\n}\n\n.fa-briefcase-clock::before {\n  content: \"\\f64a\";\n}\n\n.fa-table-cells-large::before {\n  content: \"\\f009\";\n}\n\n.fa-th-large::before {\n  content: \"\\f009\";\n}\n\n.fa-book-tanakh::before {\n  content: \"\\f827\";\n}\n\n.fa-tanakh::before {\n  content: \"\\f827\";\n}\n\n.fa-phone-volume::before {\n  content: \"\\f2a0\";\n}\n\n.fa-volume-control-phone::before {\n  content: \"\\f2a0\";\n}\n\n.fa-hat-cowboy-side::before {\n  content: \"\\f8c1\";\n}\n\n.fa-clipboard-user::before {\n  content: \"\\f7f3\";\n}\n\n.fa-child::before {\n  content: \"\\f1ae\";\n}\n\n.fa-lira-sign::before {\n  content: \"\\f195\";\n}\n\n.fa-satellite::before {\n  content: \"\\f7bf\";\n}\n\n.fa-plane-lock::before {\n  content: \"\\e558\";\n}\n\n.fa-tag::before {\n  content: \"\\f02b\";\n}\n\n.fa-comment::before {\n  content: \"\\f075\";\n}\n\n.fa-cake-candles::before {\n  content: \"\\f1fd\";\n}\n\n.fa-birthday-cake::before {\n  content: \"\\f1fd\";\n}\n\n.fa-cake::before {\n  content: \"\\f1fd\";\n}\n\n.fa-envelope::before {\n  content: \"\\f0e0\";\n}\n\n.fa-angles-up::before {\n  content: \"\\f102\";\n}\n\n.fa-angle-double-up::before {\n  content: \"\\f102\";\n}\n\n.fa-paperclip::before {\n  content: \"\\f0c6\";\n}\n\n.fa-arrow-right-to-city::before {\n  content: \"\\e4b3\";\n}\n\n.fa-ribbon::before {\n  content: \"\\f4d6\";\n}\n\n.fa-lungs::before {\n  content: \"\\f604\";\n}\n\n.fa-arrow-up-9-1::before {\n  content: \"\\f887\";\n}\n\n.fa-sort-numeric-up-alt::before {\n  content: \"\\f887\";\n}\n\n.fa-litecoin-sign::before {\n  content: \"\\e1d3\";\n}\n\n.fa-border-none::before {\n  content: \"\\f850\";\n}\n\n.fa-circle-nodes::before {\n  content: \"\\e4e2\";\n}\n\n.fa-parachute-box::before {\n  content: \"\\f4cd\";\n}\n\n.fa-indent::before {\n  content: \"\\f03c\";\n}\n\n.fa-truck-field-un::before {\n  content: \"\\e58e\";\n}\n\n.fa-hourglass::before {\n  content: \"\\f254\";\n}\n\n.fa-hourglass-empty::before {\n  content: \"\\f254\";\n}\n\n.fa-mountain::before {\n  content: \"\\f6fc\";\n}\n\n.fa-user-doctor::before {\n  content: \"\\f0f0\";\n}\n\n.fa-user-md::before {\n  content: \"\\f0f0\";\n}\n\n.fa-circle-info::before {\n  content: \"\\f05a\";\n}\n\n.fa-info-circle::before {\n  content: \"\\f05a\";\n}\n\n.fa-cloud-meatball::before {\n  content: \"\\f73b\";\n}\n\n.fa-camera::before {\n  content: \"\\f030\";\n}\n\n.fa-camera-alt::before {\n  content: \"\\f030\";\n}\n\n.fa-square-virus::before {\n  content: \"\\e578\";\n}\n\n.fa-meteor::before {\n  content: \"\\f753\";\n}\n\n.fa-car-on::before {\n  content: \"\\e4dd\";\n}\n\n.fa-sleigh::before {\n  content: \"\\f7cc\";\n}\n\n.fa-arrow-down-1-9::before {\n  content: \"\\f162\";\n}\n\n.fa-sort-numeric-asc::before {\n  content: \"\\f162\";\n}\n\n.fa-sort-numeric-down::before {\n  content: \"\\f162\";\n}\n\n.fa-hand-holding-droplet::before {\n  content: \"\\f4c1\";\n}\n\n.fa-hand-holding-water::before {\n  content: \"\\f4c1\";\n}\n\n.fa-water::before {\n  content: \"\\f773\";\n}\n\n.fa-calendar-check::before {\n  content: \"\\f274\";\n}\n\n.fa-braille::before {\n  content: \"\\f2a1\";\n}\n\n.fa-prescription-bottle-medical::before {\n  content: \"\\f486\";\n}\n\n.fa-prescription-bottle-alt::before {\n  content: \"\\f486\";\n}\n\n.fa-landmark::before {\n  content: \"\\f66f\";\n}\n\n.fa-truck::before {\n  content: \"\\f0d1\";\n}\n\n.fa-crosshairs::before {\n  content: \"\\f05b\";\n}\n\n.fa-person-cane::before {\n  content: \"\\e53c\";\n}\n\n.fa-tent::before {\n  content: \"\\e57d\";\n}\n\n.fa-vest-patches::before {\n  content: \"\\e086\";\n}\n\n.fa-check-double::before {\n  content: \"\\f560\";\n}\n\n.fa-arrow-down-a-z::before {\n  content: \"\\f15d\";\n}\n\n.fa-sort-alpha-asc::before {\n  content: \"\\f15d\";\n}\n\n.fa-sort-alpha-down::before {\n  content: \"\\f15d\";\n}\n\n.fa-money-bill-wheat::before {\n  content: \"\\e52a\";\n}\n\n.fa-cookie::before {\n  content: \"\\f563\";\n}\n\n.fa-arrow-rotate-left::before {\n  content: \"\\f0e2\";\n}\n\n.fa-arrow-left-rotate::before {\n  content: \"\\f0e2\";\n}\n\n.fa-arrow-rotate-back::before {\n  content: \"\\f0e2\";\n}\n\n.fa-arrow-rotate-backward::before {\n  content: \"\\f0e2\";\n}\n\n.fa-undo::before {\n  content: \"\\f0e2\";\n}\n\n.fa-hard-drive::before {\n  content: \"\\f0a0\";\n}\n\n.fa-hdd::before {\n  content: \"\\f0a0\";\n}\n\n.fa-face-grin-squint-tears::before {\n  content: \"\\f586\";\n}\n\n.fa-grin-squint-tears::before {\n  content: \"\\f586\";\n}\n\n.fa-dumbbell::before {\n  content: \"\\f44b\";\n}\n\n.fa-rectangle-list::before {\n  content: \"\\f022\";\n}\n\n.fa-list-alt::before {\n  content: \"\\f022\";\n}\n\n.fa-tarp-droplet::before {\n  content: \"\\e57c\";\n}\n\n.fa-house-medical-circle-check::before {\n  content: \"\\e511\";\n}\n\n.fa-person-skiing-nordic::before {\n  content: \"\\f7ca\";\n}\n\n.fa-skiing-nordic::before {\n  content: \"\\f7ca\";\n}\n\n.fa-calendar-plus::before {\n  content: \"\\f271\";\n}\n\n.fa-plane-arrival::before {\n  content: \"\\f5af\";\n}\n\n.fa-circle-left::before {\n  content: \"\\f359\";\n}\n\n.fa-arrow-alt-circle-left::before {\n  content: \"\\f359\";\n}\n\n.fa-train-subway::before {\n  content: \"\\f239\";\n}\n\n.fa-subway::before {\n  content: \"\\f239\";\n}\n\n.fa-chart-gantt::before {\n  content: \"\\e0e4\";\n}\n\n.fa-indian-rupee-sign::before {\n  content: \"\\e1bc\";\n}\n\n.fa-indian-rupee::before {\n  content: \"\\e1bc\";\n}\n\n.fa-inr::before {\n  content: \"\\e1bc\";\n}\n\n.fa-crop-simple::before {\n  content: \"\\f565\";\n}\n\n.fa-crop-alt::before {\n  content: \"\\f565\";\n}\n\n.fa-money-bill-1::before {\n  content: \"\\f3d1\";\n}\n\n.fa-money-bill-alt::before {\n  content: \"\\f3d1\";\n}\n\n.fa-left-long::before {\n  content: \"\\f30a\";\n}\n\n.fa-long-arrow-alt-left::before {\n  content: \"\\f30a\";\n}\n\n.fa-dna::before {\n  content: \"\\f471\";\n}\n\n.fa-virus-slash::before {\n  content: \"\\e075\";\n}\n\n.fa-minus::before {\n  content: \"\\f068\";\n}\n\n.fa-subtract::before {\n  content: \"\\f068\";\n}\n\n.fa-chess::before {\n  content: \"\\f439\";\n}\n\n.fa-arrow-left-long::before {\n  content: \"\\f177\";\n}\n\n.fa-long-arrow-left::before {\n  content: \"\\f177\";\n}\n\n.fa-plug-circle-check::before {\n  content: \"\\e55c\";\n}\n\n.fa-street-view::before {\n  content: \"\\f21d\";\n}\n\n.fa-franc-sign::before {\n  content: \"\\e18f\";\n}\n\n.fa-volume-off::before {\n  content: \"\\f026\";\n}\n\n.fa-hands-asl-interpreting::before {\n  content: \"\\f2a3\";\n}\n\n.fa-american-sign-language-interpreting::before {\n  content: \"\\f2a3\";\n}\n\n.fa-asl-interpreting::before {\n  content: \"\\f2a3\";\n}\n\n.fa-hands-american-sign-language-interpreting::before {\n  content: \"\\f2a3\";\n}\n\n.fa-gear::before {\n  content: \"\\f013\";\n}\n\n.fa-cog::before {\n  content: \"\\f013\";\n}\n\n.fa-droplet-slash::before {\n  content: \"\\f5c7\";\n}\n\n.fa-tint-slash::before {\n  content: \"\\f5c7\";\n}\n\n.fa-mosque::before {\n  content: \"\\f678\";\n}\n\n.fa-mosquito::before {\n  content: \"\\e52b\";\n}\n\n.fa-star-of-david::before {\n  content: \"\\f69a\";\n}\n\n.fa-person-military-rifle::before {\n  content: \"\\e54b\";\n}\n\n.fa-cart-shopping::before {\n  content: \"\\f07a\";\n}\n\n.fa-shopping-cart::before {\n  content: \"\\f07a\";\n}\n\n.fa-vials::before {\n  content: \"\\f493\";\n}\n\n.fa-plug-circle-plus::before {\n  content: \"\\e55f\";\n}\n\n.fa-place-of-worship::before {\n  content: \"\\f67f\";\n}\n\n.fa-grip-vertical::before {\n  content: \"\\f58e\";\n}\n\n.fa-arrow-turn-up::before {\n  content: \"\\f148\";\n}\n\n.fa-level-up::before {\n  content: \"\\f148\";\n}\n\n.fa-u::before {\n  content: \"U\";\n}\n\n.fa-square-root-variable::before {\n  content: \"\\f698\";\n}\n\n.fa-square-root-alt::before {\n  content: \"\\f698\";\n}\n\n.fa-clock::before {\n  content: \"\\f017\";\n}\n\n.fa-clock-four::before {\n  content: \"\\f017\";\n}\n\n.fa-backward-step::before {\n  content: \"\\f048\";\n}\n\n.fa-step-backward::before {\n  content: \"\\f048\";\n}\n\n.fa-pallet::before {\n  content: \"\\f482\";\n}\n\n.fa-faucet::before {\n  content: \"\\e005\";\n}\n\n.fa-baseball-bat-ball::before {\n  content: \"\\f432\";\n}\n\n.fa-s::before {\n  content: \"S\";\n}\n\n.fa-timeline::before {\n  content: \"\\e29c\";\n}\n\n.fa-keyboard::before {\n  content: \"\\f11c\";\n}\n\n.fa-caret-down::before {\n  content: \"\\f0d7\";\n}\n\n.fa-house-chimney-medical::before {\n  content: \"\\f7f2\";\n}\n\n.fa-clinic-medical::before {\n  content: \"\\f7f2\";\n}\n\n.fa-temperature-three-quarters::before {\n  content: \"\\f2c8\";\n}\n\n.fa-temperature-3::before {\n  content: \"\\f2c8\";\n}\n\n.fa-thermometer-3::before {\n  content: \"\\f2c8\";\n}\n\n.fa-thermometer-three-quarters::before {\n  content: \"\\f2c8\";\n}\n\n.fa-mobile-screen::before {\n  content: \"\\f3cf\";\n}\n\n.fa-mobile-android-alt::before {\n  content: \"\\f3cf\";\n}\n\n.fa-plane-up::before {\n  content: \"\\e22d\";\n}\n\n.fa-piggy-bank::before {\n  content: \"\\f4d3\";\n}\n\n.fa-battery-half::before {\n  content: \"\\f242\";\n}\n\n.fa-battery-3::before {\n  content: \"\\f242\";\n}\n\n.fa-mountain-city::before {\n  content: \"\\e52e\";\n}\n\n.fa-coins::before {\n  content: \"\\f51e\";\n}\n\n.fa-khanda::before {\n  content: \"\\f66d\";\n}\n\n.fa-sliders::before {\n  content: \"\\f1de\";\n}\n\n.fa-sliders-h::before {\n  content: \"\\f1de\";\n}\n\n.fa-folder-tree::before {\n  content: \"\\f802\";\n}\n\n.fa-network-wired::before {\n  content: \"\\f6ff\";\n}\n\n.fa-map-pin::before {\n  content: \"\\f276\";\n}\n\n.fa-hamsa::before {\n  content: \"\\f665\";\n}\n\n.fa-cent-sign::before {\n  content: \"\\e3f5\";\n}\n\n.fa-flask::before {\n  content: \"\\f0c3\";\n}\n\n.fa-person-pregnant::before {\n  content: \"\\e31e\";\n}\n\n.fa-wand-sparkles::before {\n  content: \"\\f72b\";\n}\n\n.fa-ellipsis-vertical::before {\n  content: \"\\f142\";\n}\n\n.fa-ellipsis-v::before {\n  content: \"\\f142\";\n}\n\n.fa-ticket::before {\n  content: \"\\f145\";\n}\n\n.fa-power-off::before {\n  content: \"\\f011\";\n}\n\n.fa-right-long::before {\n  content: \"\\f30b\";\n}\n\n.fa-long-arrow-alt-right::before {\n  content: \"\\f30b\";\n}\n\n.fa-flag-usa::before {\n  content: \"\\f74d\";\n}\n\n.fa-laptop-file::before {\n  content: \"\\e51d\";\n}\n\n.fa-tty::before {\n  content: \"\\f1e4\";\n}\n\n.fa-teletype::before {\n  content: \"\\f1e4\";\n}\n\n.fa-diagram-next::before {\n  content: \"\\e476\";\n}\n\n.fa-person-rifle::before {\n  content: \"\\e54e\";\n}\n\n.fa-house-medical-circle-exclamation::before {\n  content: \"\\e512\";\n}\n\n.fa-closed-captioning::before {\n  content: \"\\f20a\";\n}\n\n.fa-person-hiking::before {\n  content: \"\\f6ec\";\n}\n\n.fa-hiking::before {\n  content: \"\\f6ec\";\n}\n\n.fa-venus-double::before {\n  content: \"\\f226\";\n}\n\n.fa-images::before {\n  content: \"\\f302\";\n}\n\n.fa-calculator::before {\n  content: \"\\f1ec\";\n}\n\n.fa-people-pulling::before {\n  content: \"\\e535\";\n}\n\n.fa-n::before {\n  content: \"N\";\n}\n\n.fa-cable-car::before {\n  content: \"\\f7da\";\n}\n\n.fa-tram::before {\n  content: \"\\f7da\";\n}\n\n.fa-cloud-rain::before {\n  content: \"\\f73d\";\n}\n\n.fa-building-circle-xmark::before {\n  content: \"\\e4d4\";\n}\n\n.fa-ship::before {\n  content: \"\\f21a\";\n}\n\n.fa-arrows-down-to-line::before {\n  content: \"\\e4b8\";\n}\n\n.fa-download::before {\n  content: \"\\f019\";\n}\n\n.fa-face-grin::before {\n  content: \"\\f580\";\n}\n\n.fa-grin::before {\n  content: \"\\f580\";\n}\n\n.fa-delete-left::before {\n  content: \"\\f55a\";\n}\n\n.fa-backspace::before {\n  content: \"\\f55a\";\n}\n\n.fa-eye-dropper::before {\n  content: \"\\f1fb\";\n}\n\n.fa-eye-dropper-empty::before {\n  content: \"\\f1fb\";\n}\n\n.fa-eyedropper::before {\n  content: \"\\f1fb\";\n}\n\n.fa-file-circle-check::before {\n  content: \"\\e5a0\";\n}\n\n.fa-forward::before {\n  content: \"\\f04e\";\n}\n\n.fa-mobile::before {\n  content: \"\\f3ce\";\n}\n\n.fa-mobile-android::before {\n  content: \"\\f3ce\";\n}\n\n.fa-mobile-phone::before {\n  content: \"\\f3ce\";\n}\n\n.fa-face-meh::before {\n  content: \"\\f11a\";\n}\n\n.fa-meh::before {\n  content: \"\\f11a\";\n}\n\n.fa-align-center::before {\n  content: \"\\f037\";\n}\n\n.fa-book-skull::before {\n  content: \"\\f6b7\";\n}\n\n.fa-book-dead::before {\n  content: \"\\f6b7\";\n}\n\n.fa-id-card::before {\n  content: \"\\f2c2\";\n}\n\n.fa-drivers-license::before {\n  content: \"\\f2c2\";\n}\n\n.fa-outdent::before {\n  content: \"\\f03b\";\n}\n\n.fa-dedent::before {\n  content: \"\\f03b\";\n}\n\n.fa-heart-circle-exclamation::before {\n  content: \"\\e4fe\";\n}\n\n.fa-house::before {\n  content: \"\\f015\";\n}\n\n.fa-home::before {\n  content: \"\\f015\";\n}\n\n.fa-home-alt::before {\n  content: \"\\f015\";\n}\n\n.fa-home-lg-alt::before {\n  content: \"\\f015\";\n}\n\n.fa-calendar-week::before {\n  content: \"\\f784\";\n}\n\n.fa-laptop-medical::before {\n  content: \"\\f812\";\n}\n\n.fa-b::before {\n  content: \"B\";\n}\n\n.fa-file-medical::before {\n  content: \"\\f477\";\n}\n\n.fa-dice-one::before {\n  content: \"\\f525\";\n}\n\n.fa-kiwi-bird::before {\n  content: \"\\f535\";\n}\n\n.fa-arrow-right-arrow-left::before {\n  content: \"\\f0ec\";\n}\n\n.fa-exchange::before {\n  content: \"\\f0ec\";\n}\n\n.fa-rotate-right::before {\n  content: \"\\f2f9\";\n}\n\n.fa-redo-alt::before {\n  content: \"\\f2f9\";\n}\n\n.fa-rotate-forward::before {\n  content: \"\\f2f9\";\n}\n\n.fa-utensils::before {\n  content: \"\\f2e7\";\n}\n\n.fa-cutlery::before {\n  content: \"\\f2e7\";\n}\n\n.fa-arrow-up-wide-short::before {\n  content: \"\\f161\";\n}\n\n.fa-sort-amount-up::before {\n  content: \"\\f161\";\n}\n\n.fa-mill-sign::before {\n  content: \"\\e1ed\";\n}\n\n.fa-bowl-rice::before {\n  content: \"\\e2eb\";\n}\n\n.fa-skull::before {\n  content: \"\\f54c\";\n}\n\n.fa-tower-broadcast::before {\n  content: \"\\f519\";\n}\n\n.fa-broadcast-tower::before {\n  content: \"\\f519\";\n}\n\n.fa-truck-pickup::before {\n  content: \"\\f63c\";\n}\n\n.fa-up-long::before {\n  content: \"\\f30c\";\n}\n\n.fa-long-arrow-alt-up::before {\n  content: \"\\f30c\";\n}\n\n.fa-stop::before {\n  content: \"\\f04d\";\n}\n\n.fa-code-merge::before {\n  content: \"\\f387\";\n}\n\n.fa-upload::before {\n  content: \"\\f093\";\n}\n\n.fa-hurricane::before {\n  content: \"\\f751\";\n}\n\n.fa-mound::before {\n  content: \"\\e52d\";\n}\n\n.fa-toilet-portable::before {\n  content: \"\\e583\";\n}\n\n.fa-compact-disc::before {\n  content: \"\\f51f\";\n}\n\n.fa-file-arrow-down::before {\n  content: \"\\f56d\";\n}\n\n.fa-file-download::before {\n  content: \"\\f56d\";\n}\n\n.fa-caravan::before {\n  content: \"\\f8ff\";\n}\n\n.fa-shield-cat::before {\n  content: \"\\e572\";\n}\n\n.fa-bolt::before {\n  content: \"\\f0e7\";\n}\n\n.fa-zap::before {\n  content: \"\\f0e7\";\n}\n\n.fa-glass-water::before {\n  content: \"\\e4f4\";\n}\n\n.fa-oil-well::before {\n  content: \"\\e532\";\n}\n\n.fa-vault::before {\n  content: \"\\e2c5\";\n}\n\n.fa-mars::before {\n  content: \"\\f222\";\n}\n\n.fa-toilet::before {\n  content: \"\\f7d8\";\n}\n\n.fa-plane-circle-xmark::before {\n  content: \"\\e557\";\n}\n\n.fa-yen-sign::before {\n  content: \"\\f157\";\n}\n\n.fa-cny::before {\n  content: \"\\f157\";\n}\n\n.fa-jpy::before {\n  content: \"\\f157\";\n}\n\n.fa-rmb::before {\n  content: \"\\f157\";\n}\n\n.fa-yen::before {\n  content: \"\\f157\";\n}\n\n.fa-ruble-sign::before {\n  content: \"\\f158\";\n}\n\n.fa-rouble::before {\n  content: \"\\f158\";\n}\n\n.fa-rub::before {\n  content: \"\\f158\";\n}\n\n.fa-ruble::before {\n  content: \"\\f158\";\n}\n\n.fa-sun::before {\n  content: \"\\f185\";\n}\n\n.fa-guitar::before {\n  content: \"\\f7a6\";\n}\n\n.fa-face-laugh-wink::before {\n  content: \"\\f59c\";\n}\n\n.fa-laugh-wink::before {\n  content: \"\\f59c\";\n}\n\n.fa-horse-head::before {\n  content: \"\\f7ab\";\n}\n\n.fa-bore-hole::before {\n  content: \"\\e4c3\";\n}\n\n.fa-industry::before {\n  content: \"\\f275\";\n}\n\n.fa-circle-down::before {\n  content: \"\\f358\";\n}\n\n.fa-arrow-alt-circle-down::before {\n  content: \"\\f358\";\n}\n\n.fa-arrows-turn-to-dots::before {\n  content: \"\\e4c1\";\n}\n\n.fa-florin-sign::before {\n  content: \"\\e184\";\n}\n\n.fa-arrow-down-short-wide::before {\n  content: \"\\f884\";\n}\n\n.fa-sort-amount-desc::before {\n  content: \"\\f884\";\n}\n\n.fa-sort-amount-down-alt::before {\n  content: \"\\f884\";\n}\n\n.fa-less-than::before {\n  content: \"\\<\";\n}\n\n.fa-angle-down::before {\n  content: \"\\f107\";\n}\n\n.fa-car-tunnel::before {\n  content: \"\\e4de\";\n}\n\n.fa-head-side-cough::before {\n  content: \"\\e061\";\n}\n\n.fa-grip-lines::before {\n  content: \"\\f7a4\";\n}\n\n.fa-thumbs-down::before {\n  content: \"\\f165\";\n}\n\n.fa-user-lock::before {\n  content: \"\\f502\";\n}\n\n.fa-arrow-right-long::before {\n  content: \"\\f178\";\n}\n\n.fa-long-arrow-right::before {\n  content: \"\\f178\";\n}\n\n.fa-anchor-circle-xmark::before {\n  content: \"\\e4ac\";\n}\n\n.fa-ellipsis::before {\n  content: \"\\f141\";\n}\n\n.fa-ellipsis-h::before {\n  content: \"\\f141\";\n}\n\n.fa-chess-pawn::before {\n  content: \"\\f443\";\n}\n\n.fa-kit-medical::before {\n  content: \"\\f479\";\n}\n\n.fa-first-aid::before {\n  content: \"\\f479\";\n}\n\n.fa-person-through-window::before {\n  content: \"\\e5a9\";\n}\n\n.fa-toolbox::before {\n  content: \"\\f552\";\n}\n\n.fa-hands-holding-circle::before {\n  content: \"\\e4fb\";\n}\n\n.fa-bug::before {\n  content: \"\\f188\";\n}\n\n.fa-credit-card::before {\n  content: \"\\f09d\";\n}\n\n.fa-credit-card-alt::before {\n  content: \"\\f09d\";\n}\n\n.fa-car::before {\n  content: \"\\f1b9\";\n}\n\n.fa-automobile::before {\n  content: \"\\f1b9\";\n}\n\n.fa-hand-holding-hand::before {\n  content: \"\\e4f7\";\n}\n\n.fa-book-open-reader::before {\n  content: \"\\f5da\";\n}\n\n.fa-book-reader::before {\n  content: \"\\f5da\";\n}\n\n.fa-mountain-sun::before {\n  content: \"\\e52f\";\n}\n\n.fa-arrows-left-right-to-line::before {\n  content: \"\\e4ba\";\n}\n\n.fa-dice-d20::before {\n  content: \"\\f6cf\";\n}\n\n.fa-truck-droplet::before {\n  content: \"\\e58c\";\n}\n\n.fa-file-circle-xmark::before {\n  content: \"\\e5a1\";\n}\n\n.fa-temperature-arrow-up::before {\n  content: \"\\e040\";\n}\n\n.fa-temperature-up::before {\n  content: \"\\e040\";\n}\n\n.fa-medal::before {\n  content: \"\\f5a2\";\n}\n\n.fa-bed::before {\n  content: \"\\f236\";\n}\n\n.fa-square-h::before {\n  content: \"\\f0fd\";\n}\n\n.fa-h-square::before {\n  content: \"\\f0fd\";\n}\n\n.fa-podcast::before {\n  content: \"\\f2ce\";\n}\n\n.fa-temperature-full::before {\n  content: \"\\f2c7\";\n}\n\n.fa-temperature-4::before {\n  content: \"\\f2c7\";\n}\n\n.fa-thermometer-4::before {\n  content: \"\\f2c7\";\n}\n\n.fa-thermometer-full::before {\n  content: \"\\f2c7\";\n}\n\n.fa-bell::before {\n  content: \"\\f0f3\";\n}\n\n.fa-superscript::before {\n  content: \"\\f12b\";\n}\n\n.fa-plug-circle-xmark::before {\n  content: \"\\e560\";\n}\n\n.fa-star-of-life::before {\n  content: \"\\f621\";\n}\n\n.fa-phone-slash::before {\n  content: \"\\f3dd\";\n}\n\n.fa-paint-roller::before {\n  content: \"\\f5aa\";\n}\n\n.fa-handshake-angle::before {\n  content: \"\\f4c4\";\n}\n\n.fa-hands-helping::before {\n  content: \"\\f4c4\";\n}\n\n.fa-location-dot::before {\n  content: \"\\f3c5\";\n}\n\n.fa-map-marker-alt::before {\n  content: \"\\f3c5\";\n}\n\n.fa-file::before {\n  content: \"\\f15b\";\n}\n\n.fa-greater-than::before {\n  content: \"\\>\";\n}\n\n.fa-person-swimming::before {\n  content: \"\\f5c4\";\n}\n\n.fa-swimmer::before {\n  content: \"\\f5c4\";\n}\n\n.fa-arrow-down::before {\n  content: \"\\f063\";\n}\n\n.fa-droplet::before {\n  content: \"\\f043\";\n}\n\n.fa-tint::before {\n  content: \"\\f043\";\n}\n\n.fa-eraser::before {\n  content: \"\\f12d\";\n}\n\n.fa-earth-americas::before {\n  content: \"\\f57d\";\n}\n\n.fa-earth::before {\n  content: \"\\f57d\";\n}\n\n.fa-earth-america::before {\n  content: \"\\f57d\";\n}\n\n.fa-globe-americas::before {\n  content: \"\\f57d\";\n}\n\n.fa-person-burst::before {\n  content: \"\\e53b\";\n}\n\n.fa-dove::before {\n  content: \"\\f4ba\";\n}\n\n.fa-battery-empty::before {\n  content: \"\\f244\";\n}\n\n.fa-battery-0::before {\n  content: \"\\f244\";\n}\n\n.fa-socks::before {\n  content: \"\\f696\";\n}\n\n.fa-inbox::before {\n  content: \"\\f01c\";\n}\n\n.fa-section::before {\n  content: \"\\e447\";\n}\n\n.fa-gauge-high::before {\n  content: \"\\f625\";\n}\n\n.fa-tachometer-alt::before {\n  content: \"\\f625\";\n}\n\n.fa-tachometer-alt-fast::before {\n  content: \"\\f625\";\n}\n\n.fa-envelope-open-text::before {\n  content: \"\\f658\";\n}\n\n.fa-hospital::before {\n  content: \"\\f0f8\";\n}\n\n.fa-hospital-alt::before {\n  content: \"\\f0f8\";\n}\n\n.fa-hospital-wide::before {\n  content: \"\\f0f8\";\n}\n\n.fa-wine-bottle::before {\n  content: \"\\f72f\";\n}\n\n.fa-chess-rook::before {\n  content: \"\\f447\";\n}\n\n.fa-bars-staggered::before {\n  content: \"\\f550\";\n}\n\n.fa-reorder::before {\n  content: \"\\f550\";\n}\n\n.fa-stream::before {\n  content: \"\\f550\";\n}\n\n.fa-dharmachakra::before {\n  content: \"\\f655\";\n}\n\n.fa-hotdog::before {\n  content: \"\\f80f\";\n}\n\n.fa-person-walking-with-cane::before {\n  content: \"\\f29d\";\n}\n\n.fa-blind::before {\n  content: \"\\f29d\";\n}\n\n.fa-drum::before {\n  content: \"\\f569\";\n}\n\n.fa-ice-cream::before {\n  content: \"\\f810\";\n}\n\n.fa-heart-circle-bolt::before {\n  content: \"\\e4fc\";\n}\n\n.fa-fax::before {\n  content: \"\\f1ac\";\n}\n\n.fa-paragraph::before {\n  content: \"\\f1dd\";\n}\n\n.fa-check-to-slot::before {\n  content: \"\\f772\";\n}\n\n.fa-vote-yea::before {\n  content: \"\\f772\";\n}\n\n.fa-star-half::before {\n  content: \"\\f089\";\n}\n\n.fa-boxes-stacked::before {\n  content: \"\\f468\";\n}\n\n.fa-boxes::before {\n  content: \"\\f468\";\n}\n\n.fa-boxes-alt::before {\n  content: \"\\f468\";\n}\n\n.fa-link::before {\n  content: \"\\f0c1\";\n}\n\n.fa-chain::before {\n  content: \"\\f0c1\";\n}\n\n.fa-ear-listen::before {\n  content: \"\\f2a2\";\n}\n\n.fa-assistive-listening-systems::before {\n  content: \"\\f2a2\";\n}\n\n.fa-tree-city::before {\n  content: \"\\e587\";\n}\n\n.fa-play::before {\n  content: \"\\f04b\";\n}\n\n.fa-font::before {\n  content: \"\\f031\";\n}\n\n.fa-table-cells-row-lock::before {\n  content: \"\\e67a\";\n}\n\n.fa-rupiah-sign::before {\n  content: \"\\e23d\";\n}\n\n.fa-magnifying-glass::before {\n  content: \"\\f002\";\n}\n\n.fa-search::before {\n  content: \"\\f002\";\n}\n\n.fa-table-tennis-paddle-ball::before {\n  content: \"\\f45d\";\n}\n\n.fa-ping-pong-paddle-ball::before {\n  content: \"\\f45d\";\n}\n\n.fa-table-tennis::before {\n  content: \"\\f45d\";\n}\n\n.fa-person-dots-from-line::before {\n  content: \"\\f470\";\n}\n\n.fa-diagnoses::before {\n  content: \"\\f470\";\n}\n\n.fa-trash-can-arrow-up::before {\n  content: \"\\f82a\";\n}\n\n.fa-trash-restore-alt::before {\n  content: \"\\f82a\";\n}\n\n.fa-naira-sign::before {\n  content: \"\\e1f6\";\n}\n\n.fa-cart-arrow-down::before {\n  content: \"\\f218\";\n}\n\n.fa-walkie-talkie::before {\n  content: \"\\f8ef\";\n}\n\n.fa-file-pen::before {\n  content: \"\\f31c\";\n}\n\n.fa-file-edit::before {\n  content: \"\\f31c\";\n}\n\n.fa-receipt::before {\n  content: \"\\f543\";\n}\n\n.fa-square-pen::before {\n  content: \"\\f14b\";\n}\n\n.fa-pen-square::before {\n  content: \"\\f14b\";\n}\n\n.fa-pencil-square::before {\n  content: \"\\f14b\";\n}\n\n.fa-suitcase-rolling::before {\n  content: \"\\f5c1\";\n}\n\n.fa-person-circle-exclamation::before {\n  content: \"\\e53f\";\n}\n\n.fa-chevron-down::before {\n  content: \"\\f078\";\n}\n\n.fa-battery-full::before {\n  content: \"\\f240\";\n}\n\n.fa-battery::before {\n  content: \"\\f240\";\n}\n\n.fa-battery-5::before {\n  content: \"\\f240\";\n}\n\n.fa-skull-crossbones::before {\n  content: \"\\f714\";\n}\n\n.fa-code-compare::before {\n  content: \"\\e13a\";\n}\n\n.fa-list-ul::before {\n  content: \"\\f0ca\";\n}\n\n.fa-list-dots::before {\n  content: \"\\f0ca\";\n}\n\n.fa-school-lock::before {\n  content: \"\\e56f\";\n}\n\n.fa-tower-cell::before {\n  content: \"\\e585\";\n}\n\n.fa-down-long::before {\n  content: \"\\f309\";\n}\n\n.fa-long-arrow-alt-down::before {\n  content: \"\\f309\";\n}\n\n.fa-ranking-star::before {\n  content: \"\\e561\";\n}\n\n.fa-chess-king::before {\n  content: \"\\f43f\";\n}\n\n.fa-person-harassing::before {\n  content: \"\\e549\";\n}\n\n.fa-brazilian-real-sign::before {\n  content: \"\\e46c\";\n}\n\n.fa-landmark-dome::before {\n  content: \"\\f752\";\n}\n\n.fa-landmark-alt::before {\n  content: \"\\f752\";\n}\n\n.fa-arrow-up::before {\n  content: \"\\f062\";\n}\n\n.fa-tv::before {\n  content: \"\\f26c\";\n}\n\n.fa-television::before {\n  content: \"\\f26c\";\n}\n\n.fa-tv-alt::before {\n  content: \"\\f26c\";\n}\n\n.fa-shrimp::before {\n  content: \"\\e448\";\n}\n\n.fa-list-check::before {\n  content: \"\\f0ae\";\n}\n\n.fa-tasks::before {\n  content: \"\\f0ae\";\n}\n\n.fa-jug-detergent::before {\n  content: \"\\e519\";\n}\n\n.fa-circle-user::before {\n  content: \"\\f2bd\";\n}\n\n.fa-user-circle::before {\n  content: \"\\f2bd\";\n}\n\n.fa-user-shield::before {\n  content: \"\\f505\";\n}\n\n.fa-wind::before {\n  content: \"\\f72e\";\n}\n\n.fa-car-burst::before {\n  content: \"\\f5e1\";\n}\n\n.fa-car-crash::before {\n  content: \"\\f5e1\";\n}\n\n.fa-y::before {\n  content: \"Y\";\n}\n\n.fa-person-snowboarding::before {\n  content: \"\\f7ce\";\n}\n\n.fa-snowboarding::before {\n  content: \"\\f7ce\";\n}\n\n.fa-truck-fast::before {\n  content: \"\\f48b\";\n}\n\n.fa-shipping-fast::before {\n  content: \"\\f48b\";\n}\n\n.fa-fish::before {\n  content: \"\\f578\";\n}\n\n.fa-user-graduate::before {\n  content: \"\\f501\";\n}\n\n.fa-circle-half-stroke::before {\n  content: \"\\f042\";\n}\n\n.fa-adjust::before {\n  content: \"\\f042\";\n}\n\n.fa-clapperboard::before {\n  content: \"\\e131\";\n}\n\n.fa-circle-radiation::before {\n  content: \"\\f7ba\";\n}\n\n.fa-radiation-alt::before {\n  content: \"\\f7ba\";\n}\n\n.fa-baseball::before {\n  content: \"\\f433\";\n}\n\n.fa-baseball-ball::before {\n  content: \"\\f433\";\n}\n\n.fa-jet-fighter-up::before {\n  content: \"\\e518\";\n}\n\n.fa-diagram-project::before {\n  content: \"\\f542\";\n}\n\n.fa-project-diagram::before {\n  content: \"\\f542\";\n}\n\n.fa-copy::before {\n  content: \"\\f0c5\";\n}\n\n.fa-volume-xmark::before {\n  content: \"\\f6a9\";\n}\n\n.fa-volume-mute::before {\n  content: \"\\f6a9\";\n}\n\n.fa-volume-times::before {\n  content: \"\\f6a9\";\n}\n\n.fa-hand-sparkles::before {\n  content: \"\\e05d\";\n}\n\n.fa-grip::before {\n  content: \"\\f58d\";\n}\n\n.fa-grip-horizontal::before {\n  content: \"\\f58d\";\n}\n\n.fa-share-from-square::before {\n  content: \"\\f14d\";\n}\n\n.fa-share-square::before {\n  content: \"\\f14d\";\n}\n\n.fa-child-combatant::before {\n  content: \"\\e4e0\";\n}\n\n.fa-child-rifle::before {\n  content: \"\\e4e0\";\n}\n\n.fa-gun::before {\n  content: \"\\e19b\";\n}\n\n.fa-square-phone::before {\n  content: \"\\f098\";\n}\n\n.fa-phone-square::before {\n  content: \"\\f098\";\n}\n\n.fa-plus::before {\n  content: \"\\+\";\n}\n\n.fa-add::before {\n  content: \"\\+\";\n}\n\n.fa-expand::before {\n  content: \"\\f065\";\n}\n\n.fa-computer::before {\n  content: \"\\e4e5\";\n}\n\n.fa-xmark::before {\n  content: \"\\f00d\";\n}\n\n.fa-close::before {\n  content: \"\\f00d\";\n}\n\n.fa-multiply::before {\n  content: \"\\f00d\";\n}\n\n.fa-remove::before {\n  content: \"\\f00d\";\n}\n\n.fa-times::before {\n  content: \"\\f00d\";\n}\n\n.fa-arrows-up-down-left-right::before {\n  content: \"\\f047\";\n}\n\n.fa-arrows::before {\n  content: \"\\f047\";\n}\n\n.fa-chalkboard-user::before {\n  content: \"\\f51c\";\n}\n\n.fa-chalkboard-teacher::before {\n  content: \"\\f51c\";\n}\n\n.fa-peso-sign::before {\n  content: \"\\e222\";\n}\n\n.fa-building-shield::before {\n  content: \"\\e4d8\";\n}\n\n.fa-baby::before {\n  content: \"\\f77c\";\n}\n\n.fa-users-line::before {\n  content: \"\\e592\";\n}\n\n.fa-quote-left::before {\n  content: \"\\f10d\";\n}\n\n.fa-quote-left-alt::before {\n  content: \"\\f10d\";\n}\n\n.fa-tractor::before {\n  content: \"\\f722\";\n}\n\n.fa-trash-arrow-up::before {\n  content: \"\\f829\";\n}\n\n.fa-trash-restore::before {\n  content: \"\\f829\";\n}\n\n.fa-arrow-down-up-lock::before {\n  content: \"\\e4b0\";\n}\n\n.fa-lines-leaning::before {\n  content: \"\\e51e\";\n}\n\n.fa-ruler-combined::before {\n  content: \"\\f546\";\n}\n\n.fa-copyright::before {\n  content: \"\\f1f9\";\n}\n\n.fa-equals::before {\n  content: \"\\=\";\n}\n\n.fa-blender::before {\n  content: \"\\f517\";\n}\n\n.fa-teeth::before {\n  content: \"\\f62e\";\n}\n\n.fa-shekel-sign::before {\n  content: \"\\f20b\";\n}\n\n.fa-ils::before {\n  content: \"\\f20b\";\n}\n\n.fa-shekel::before {\n  content: \"\\f20b\";\n}\n\n.fa-sheqel::before {\n  content: \"\\f20b\";\n}\n\n.fa-sheqel-sign::before {\n  content: \"\\f20b\";\n}\n\n.fa-map::before {\n  content: \"\\f279\";\n}\n\n.fa-rocket::before {\n  content: \"\\f135\";\n}\n\n.fa-photo-film::before {\n  content: \"\\f87c\";\n}\n\n.fa-photo-video::before {\n  content: \"\\f87c\";\n}\n\n.fa-folder-minus::before {\n  content: \"\\f65d\";\n}\n\n.fa-store::before {\n  content: \"\\f54e\";\n}\n\n.fa-arrow-trend-up::before {\n  content: \"\\e098\";\n}\n\n.fa-plug-circle-minus::before {\n  content: \"\\e55e\";\n}\n\n.fa-sign-hanging::before {\n  content: \"\\f4d9\";\n}\n\n.fa-sign::before {\n  content: \"\\f4d9\";\n}\n\n.fa-bezier-curve::before {\n  content: \"\\f55b\";\n}\n\n.fa-bell-slash::before {\n  content: \"\\f1f6\";\n}\n\n.fa-tablet::before {\n  content: \"\\f3fb\";\n}\n\n.fa-tablet-android::before {\n  content: \"\\f3fb\";\n}\n\n.fa-school-flag::before {\n  content: \"\\e56e\";\n}\n\n.fa-fill::before {\n  content: \"\\f575\";\n}\n\n.fa-angle-up::before {\n  content: \"\\f106\";\n}\n\n.fa-drumstick-bite::before {\n  content: \"\\f6d7\";\n}\n\n.fa-holly-berry::before {\n  content: \"\\f7aa\";\n}\n\n.fa-chevron-left::before {\n  content: \"\\f053\";\n}\n\n.fa-bacteria::before {\n  content: \"\\e059\";\n}\n\n.fa-hand-lizard::before {\n  content: \"\\f258\";\n}\n\n.fa-notdef::before {\n  content: \"\\e1fe\";\n}\n\n.fa-disease::before {\n  content: \"\\f7fa\";\n}\n\n.fa-briefcase-medical::before {\n  content: \"\\f469\";\n}\n\n.fa-genderless::before {\n  content: \"\\f22d\";\n}\n\n.fa-chevron-right::before {\n  content: \"\\f054\";\n}\n\n.fa-retweet::before {\n  content: \"\\f079\";\n}\n\n.fa-car-rear::before {\n  content: \"\\f5de\";\n}\n\n.fa-car-alt::before {\n  content: \"\\f5de\";\n}\n\n.fa-pump-soap::before {\n  content: \"\\e06b\";\n}\n\n.fa-video-slash::before {\n  content: \"\\f4e2\";\n}\n\n.fa-battery-quarter::before {\n  content: \"\\f243\";\n}\n\n.fa-battery-2::before {\n  content: \"\\f243\";\n}\n\n.fa-radio::before {\n  content: \"\\f8d7\";\n}\n\n.fa-baby-carriage::before {\n  content: \"\\f77d\";\n}\n\n.fa-carriage-baby::before {\n  content: \"\\f77d\";\n}\n\n.fa-traffic-light::before {\n  content: \"\\f637\";\n}\n\n.fa-thermometer::before {\n  content: \"\\f491\";\n}\n\n.fa-vr-cardboard::before {\n  content: \"\\f729\";\n}\n\n.fa-hand-middle-finger::before {\n  content: \"\\f806\";\n}\n\n.fa-percent::before {\n  content: \"\\%\";\n}\n\n.fa-percentage::before {\n  content: \"\\%\";\n}\n\n.fa-truck-moving::before {\n  content: \"\\f4df\";\n}\n\n.fa-glass-water-droplet::before {\n  content: \"\\e4f5\";\n}\n\n.fa-display::before {\n  content: \"\\e163\";\n}\n\n.fa-face-smile::before {\n  content: \"\\f118\";\n}\n\n.fa-smile::before {\n  content: \"\\f118\";\n}\n\n.fa-thumbtack::before {\n  content: \"\\f08d\";\n}\n\n.fa-thumb-tack::before {\n  content: \"\\f08d\";\n}\n\n.fa-trophy::before {\n  content: \"\\f091\";\n}\n\n.fa-person-praying::before {\n  content: \"\\f683\";\n}\n\n.fa-pray::before {\n  content: \"\\f683\";\n}\n\n.fa-hammer::before {\n  content: \"\\f6e3\";\n}\n\n.fa-hand-peace::before {\n  content: \"\\f25b\";\n}\n\n.fa-rotate::before {\n  content: \"\\f2f1\";\n}\n\n.fa-sync-alt::before {\n  content: \"\\f2f1\";\n}\n\n.fa-spinner::before {\n  content: \"\\f110\";\n}\n\n.fa-robot::before {\n  content: \"\\f544\";\n}\n\n.fa-peace::before {\n  content: \"\\f67c\";\n}\n\n.fa-gears::before {\n  content: \"\\f085\";\n}\n\n.fa-cogs::before {\n  content: \"\\f085\";\n}\n\n.fa-warehouse::before {\n  content: \"\\f494\";\n}\n\n.fa-arrow-up-right-dots::before {\n  content: \"\\e4b7\";\n}\n\n.fa-splotch::before {\n  content: \"\\f5bc\";\n}\n\n.fa-face-grin-hearts::before {\n  content: \"\\f584\";\n}\n\n.fa-grin-hearts::before {\n  content: \"\\f584\";\n}\n\n.fa-dice-four::before {\n  content: \"\\f524\";\n}\n\n.fa-sim-card::before {\n  content: \"\\f7c4\";\n}\n\n.fa-transgender::before {\n  content: \"\\f225\";\n}\n\n.fa-transgender-alt::before {\n  content: \"\\f225\";\n}\n\n.fa-mercury::before {\n  content: \"\\f223\";\n}\n\n.fa-arrow-turn-down::before {\n  content: \"\\f149\";\n}\n\n.fa-level-down::before {\n  content: \"\\f149\";\n}\n\n.fa-person-falling-burst::before {\n  content: \"\\e547\";\n}\n\n.fa-award::before {\n  content: \"\\f559\";\n}\n\n.fa-ticket-simple::before {\n  content: \"\\f3ff\";\n}\n\n.fa-ticket-alt::before {\n  content: \"\\f3ff\";\n}\n\n.fa-building::before {\n  content: \"\\f1ad\";\n}\n\n.fa-angles-left::before {\n  content: \"\\f100\";\n}\n\n.fa-angle-double-left::before {\n  content: \"\\f100\";\n}\n\n.fa-qrcode::before {\n  content: \"\\f029\";\n}\n\n.fa-clock-rotate-left::before {\n  content: \"\\f1da\";\n}\n\n.fa-history::before {\n  content: \"\\f1da\";\n}\n\n.fa-face-grin-beam-sweat::before {\n  content: \"\\f583\";\n}\n\n.fa-grin-beam-sweat::before {\n  content: \"\\f583\";\n}\n\n.fa-file-export::before {\n  content: \"\\f56e\";\n}\n\n.fa-arrow-right-from-file::before {\n  content: \"\\f56e\";\n}\n\n.fa-shield::before {\n  content: \"\\f132\";\n}\n\n.fa-shield-blank::before {\n  content: \"\\f132\";\n}\n\n.fa-arrow-up-short-wide::before {\n  content: \"\\f885\";\n}\n\n.fa-sort-amount-up-alt::before {\n  content: \"\\f885\";\n}\n\n.fa-house-medical::before {\n  content: \"\\e3b2\";\n}\n\n.fa-golf-ball-tee::before {\n  content: \"\\f450\";\n}\n\n.fa-golf-ball::before {\n  content: \"\\f450\";\n}\n\n.fa-circle-chevron-left::before {\n  content: \"\\f137\";\n}\n\n.fa-chevron-circle-left::before {\n  content: \"\\f137\";\n}\n\n.fa-house-chimney-window::before {\n  content: \"\\e00d\";\n}\n\n.fa-pen-nib::before {\n  content: \"\\f5ad\";\n}\n\n.fa-tent-arrow-turn-left::before {\n  content: \"\\e580\";\n}\n\n.fa-tents::before {\n  content: \"\\e582\";\n}\n\n.fa-wand-magic::before {\n  content: \"\\f0d0\";\n}\n\n.fa-magic::before {\n  content: \"\\f0d0\";\n}\n\n.fa-dog::before {\n  content: \"\\f6d3\";\n}\n\n.fa-carrot::before {\n  content: \"\\f787\";\n}\n\n.fa-moon::before {\n  content: \"\\f186\";\n}\n\n.fa-wine-glass-empty::before {\n  content: \"\\f5ce\";\n}\n\n.fa-wine-glass-alt::before {\n  content: \"\\f5ce\";\n}\n\n.fa-cheese::before {\n  content: \"\\f7ef\";\n}\n\n.fa-yin-yang::before {\n  content: \"\\f6ad\";\n}\n\n.fa-music::before {\n  content: \"\\f001\";\n}\n\n.fa-code-commit::before {\n  content: \"\\f386\";\n}\n\n.fa-temperature-low::before {\n  content: \"\\f76b\";\n}\n\n.fa-person-biking::before {\n  content: \"\\f84a\";\n}\n\n.fa-biking::before {\n  content: \"\\f84a\";\n}\n\n.fa-broom::before {\n  content: \"\\f51a\";\n}\n\n.fa-shield-heart::before {\n  content: \"\\e574\";\n}\n\n.fa-gopuram::before {\n  content: \"\\f664\";\n}\n\n.fa-earth-oceania::before {\n  content: \"\\e47b\";\n}\n\n.fa-globe-oceania::before {\n  content: \"\\e47b\";\n}\n\n.fa-square-xmark::before {\n  content: \"\\f2d3\";\n}\n\n.fa-times-square::before {\n  content: \"\\f2d3\";\n}\n\n.fa-xmark-square::before {\n  content: \"\\f2d3\";\n}\n\n.fa-hashtag::before {\n  content: \"\\#\";\n}\n\n.fa-up-right-and-down-left-from-center::before {\n  content: \"\\f424\";\n}\n\n.fa-expand-alt::before {\n  content: \"\\f424\";\n}\n\n.fa-oil-can::before {\n  content: \"\\f613\";\n}\n\n.fa-t::before {\n  content: \"T\";\n}\n\n.fa-hippo::before {\n  content: \"\\f6ed\";\n}\n\n.fa-chart-column::before {\n  content: \"\\e0e3\";\n}\n\n.fa-infinity::before {\n  content: \"\\f534\";\n}\n\n.fa-vial-circle-check::before {\n  content: \"\\e596\";\n}\n\n.fa-person-arrow-down-to-line::before {\n  content: \"\\e538\";\n}\n\n.fa-voicemail::before {\n  content: \"\\f897\";\n}\n\n.fa-fan::before {\n  content: \"\\f863\";\n}\n\n.fa-person-walking-luggage::before {\n  content: \"\\e554\";\n}\n\n.fa-up-down::before {\n  content: \"\\f338\";\n}\n\n.fa-arrows-alt-v::before {\n  content: \"\\f338\";\n}\n\n.fa-cloud-moon-rain::before {\n  content: \"\\f73c\";\n}\n\n.fa-calendar::before {\n  content: \"\\f133\";\n}\n\n.fa-trailer::before {\n  content: \"\\e041\";\n}\n\n.fa-bahai::before {\n  content: \"\\f666\";\n}\n\n.fa-haykal::before {\n  content: \"\\f666\";\n}\n\n.fa-sd-card::before {\n  content: \"\\f7c2\";\n}\n\n.fa-dragon::before {\n  content: \"\\f6d5\";\n}\n\n.fa-shoe-prints::before {\n  content: \"\\f54b\";\n}\n\n.fa-circle-plus::before {\n  content: \"\\f055\";\n}\n\n.fa-plus-circle::before {\n  content: \"\\f055\";\n}\n\n.fa-face-grin-tongue-wink::before {\n  content: \"\\f58b\";\n}\n\n.fa-grin-tongue-wink::before {\n  content: \"\\f58b\";\n}\n\n.fa-hand-holding::before {\n  content: \"\\f4bd\";\n}\n\n.fa-plug-circle-exclamation::before {\n  content: \"\\e55d\";\n}\n\n.fa-link-slash::before {\n  content: \"\\f127\";\n}\n\n.fa-chain-broken::before {\n  content: \"\\f127\";\n}\n\n.fa-chain-slash::before {\n  content: \"\\f127\";\n}\n\n.fa-unlink::before {\n  content: \"\\f127\";\n}\n\n.fa-clone::before {\n  content: \"\\f24d\";\n}\n\n.fa-person-walking-arrow-loop-left::before {\n  content: \"\\e551\";\n}\n\n.fa-arrow-up-z-a::before {\n  content: \"\\f882\";\n}\n\n.fa-sort-alpha-up-alt::before {\n  content: \"\\f882\";\n}\n\n.fa-fire-flame-curved::before {\n  content: \"\\f7e4\";\n}\n\n.fa-fire-alt::before {\n  content: \"\\f7e4\";\n}\n\n.fa-tornado::before {\n  content: \"\\f76f\";\n}\n\n.fa-file-circle-plus::before {\n  content: \"\\e494\";\n}\n\n.fa-book-quran::before {\n  content: \"\\f687\";\n}\n\n.fa-quran::before {\n  content: \"\\f687\";\n}\n\n.fa-anchor::before {\n  content: \"\\f13d\";\n}\n\n.fa-border-all::before {\n  content: \"\\f84c\";\n}\n\n.fa-face-angry::before {\n  content: \"\\f556\";\n}\n\n.fa-angry::before {\n  content: \"\\f556\";\n}\n\n.fa-cookie-bite::before {\n  content: \"\\f564\";\n}\n\n.fa-arrow-trend-down::before {\n  content: \"\\e097\";\n}\n\n.fa-rss::before {\n  content: \"\\f09e\";\n}\n\n.fa-feed::before {\n  content: \"\\f09e\";\n}\n\n.fa-draw-polygon::before {\n  content: \"\\f5ee\";\n}\n\n.fa-scale-balanced::before {\n  content: \"\\f24e\";\n}\n\n.fa-balance-scale::before {\n  content: \"\\f24e\";\n}\n\n.fa-gauge-simple-high::before {\n  content: \"\\f62a\";\n}\n\n.fa-tachometer::before {\n  content: \"\\f62a\";\n}\n\n.fa-tachometer-fast::before {\n  content: \"\\f62a\";\n}\n\n.fa-shower::before {\n  content: \"\\f2cc\";\n}\n\n.fa-desktop::before {\n  content: \"\\f390\";\n}\n\n.fa-desktop-alt::before {\n  content: \"\\f390\";\n}\n\n.fa-m::before {\n  content: \"M\";\n}\n\n.fa-table-list::before {\n  content: \"\\f00b\";\n}\n\n.fa-th-list::before {\n  content: \"\\f00b\";\n}\n\n.fa-comment-sms::before {\n  content: \"\\f7cd\";\n}\n\n.fa-sms::before {\n  content: \"\\f7cd\";\n}\n\n.fa-book::before {\n  content: \"\\f02d\";\n}\n\n.fa-user-plus::before {\n  content: \"\\f234\";\n}\n\n.fa-check::before {\n  content: \"\\f00c\";\n}\n\n.fa-battery-three-quarters::before {\n  content: \"\\f241\";\n}\n\n.fa-battery-4::before {\n  content: \"\\f241\";\n}\n\n.fa-house-circle-check::before {\n  content: \"\\e509\";\n}\n\n.fa-angle-left::before {\n  content: \"\\f104\";\n}\n\n.fa-diagram-successor::before {\n  content: \"\\e47a\";\n}\n\n.fa-truck-arrow-right::before {\n  content: \"\\e58b\";\n}\n\n.fa-arrows-split-up-and-left::before {\n  content: \"\\e4bc\";\n}\n\n.fa-hand-fist::before {\n  content: \"\\f6de\";\n}\n\n.fa-fist-raised::before {\n  content: \"\\f6de\";\n}\n\n.fa-cloud-moon::before {\n  content: \"\\f6c3\";\n}\n\n.fa-briefcase::before {\n  content: \"\\f0b1\";\n}\n\n.fa-person-falling::before {\n  content: \"\\e546\";\n}\n\n.fa-image-portrait::before {\n  content: \"\\f3e0\";\n}\n\n.fa-portrait::before {\n  content: \"\\f3e0\";\n}\n\n.fa-user-tag::before {\n  content: \"\\f507\";\n}\n\n.fa-rug::before {\n  content: \"\\e569\";\n}\n\n.fa-earth-europe::before {\n  content: \"\\f7a2\";\n}\n\n.fa-globe-europe::before {\n  content: \"\\f7a2\";\n}\n\n.fa-cart-flatbed-suitcase::before {\n  content: \"\\f59d\";\n}\n\n.fa-luggage-cart::before {\n  content: \"\\f59d\";\n}\n\n.fa-rectangle-xmark::before {\n  content: \"\\f410\";\n}\n\n.fa-rectangle-times::before {\n  content: \"\\f410\";\n}\n\n.fa-times-rectangle::before {\n  content: \"\\f410\";\n}\n\n.fa-window-close::before {\n  content: \"\\f410\";\n}\n\n.fa-baht-sign::before {\n  content: \"\\e0ac\";\n}\n\n.fa-book-open::before {\n  content: \"\\f518\";\n}\n\n.fa-book-journal-whills::before {\n  content: \"\\f66a\";\n}\n\n.fa-journal-whills::before {\n  content: \"\\f66a\";\n}\n\n.fa-handcuffs::before {\n  content: \"\\e4f8\";\n}\n\n.fa-triangle-exclamation::before {\n  content: \"\\f071\";\n}\n\n.fa-exclamation-triangle::before {\n  content: \"\\f071\";\n}\n\n.fa-warning::before {\n  content: \"\\f071\";\n}\n\n.fa-database::before {\n  content: \"\\f1c0\";\n}\n\n.fa-share::before {\n  content: \"\\f064\";\n}\n\n.fa-mail-forward::before {\n  content: \"\\f064\";\n}\n\n.fa-bottle-droplet::before {\n  content: \"\\e4c4\";\n}\n\n.fa-mask-face::before {\n  content: \"\\e1d7\";\n}\n\n.fa-hill-rockslide::before {\n  content: \"\\e508\";\n}\n\n.fa-right-left::before {\n  content: \"\\f362\";\n}\n\n.fa-exchange-alt::before {\n  content: \"\\f362\";\n}\n\n.fa-paper-plane::before {\n  content: \"\\f1d8\";\n}\n\n.fa-road-circle-exclamation::before {\n  content: \"\\e565\";\n}\n\n.fa-dungeon::before {\n  content: \"\\f6d9\";\n}\n\n.fa-align-right::before {\n  content: \"\\f038\";\n}\n\n.fa-money-bill-1-wave::before {\n  content: \"\\f53b\";\n}\n\n.fa-money-bill-wave-alt::before {\n  content: \"\\f53b\";\n}\n\n.fa-life-ring::before {\n  content: \"\\f1cd\";\n}\n\n.fa-hands::before {\n  content: \"\\f2a7\";\n}\n\n.fa-sign-language::before {\n  content: \"\\f2a7\";\n}\n\n.fa-signing::before {\n  content: \"\\f2a7\";\n}\n\n.fa-calendar-day::before {\n  content: \"\\f783\";\n}\n\n.fa-water-ladder::before {\n  content: \"\\f5c5\";\n}\n\n.fa-ladder-water::before {\n  content: \"\\f5c5\";\n}\n\n.fa-swimming-pool::before {\n  content: \"\\f5c5\";\n}\n\n.fa-arrows-up-down::before {\n  content: \"\\f07d\";\n}\n\n.fa-arrows-v::before {\n  content: \"\\f07d\";\n}\n\n.fa-face-grimace::before {\n  content: \"\\f57f\";\n}\n\n.fa-grimace::before {\n  content: \"\\f57f\";\n}\n\n.fa-wheelchair-move::before {\n  content: \"\\e2ce\";\n}\n\n.fa-wheelchair-alt::before {\n  content: \"\\e2ce\";\n}\n\n.fa-turn-down::before {\n  content: \"\\f3be\";\n}\n\n.fa-level-down-alt::before {\n  content: \"\\f3be\";\n}\n\n.fa-person-walking-arrow-right::before {\n  content: \"\\e552\";\n}\n\n.fa-square-envelope::before {\n  content: \"\\f199\";\n}\n\n.fa-envelope-square::before {\n  content: \"\\f199\";\n}\n\n.fa-dice::before {\n  content: \"\\f522\";\n}\n\n.fa-bowling-ball::before {\n  content: \"\\f436\";\n}\n\n.fa-brain::before {\n  content: \"\\f5dc\";\n}\n\n.fa-bandage::before {\n  content: \"\\f462\";\n}\n\n.fa-band-aid::before {\n  content: \"\\f462\";\n}\n\n.fa-calendar-minus::before {\n  content: \"\\f272\";\n}\n\n.fa-circle-xmark::before {\n  content: \"\\f057\";\n}\n\n.fa-times-circle::before {\n  content: \"\\f057\";\n}\n\n.fa-xmark-circle::before {\n  content: \"\\f057\";\n}\n\n.fa-gifts::before {\n  content: \"\\f79c\";\n}\n\n.fa-hotel::before {\n  content: \"\\f594\";\n}\n\n.fa-earth-asia::before {\n  content: \"\\f57e\";\n}\n\n.fa-globe-asia::before {\n  content: \"\\f57e\";\n}\n\n.fa-id-card-clip::before {\n  content: \"\\f47f\";\n}\n\n.fa-id-card-alt::before {\n  content: \"\\f47f\";\n}\n\n.fa-magnifying-glass-plus::before {\n  content: \"\\f00e\";\n}\n\n.fa-search-plus::before {\n  content: \"\\f00e\";\n}\n\n.fa-thumbs-up::before {\n  content: \"\\f164\";\n}\n\n.fa-user-clock::before {\n  content: \"\\f4fd\";\n}\n\n.fa-hand-dots::before {\n  content: \"\\f461\";\n}\n\n.fa-allergies::before {\n  content: \"\\f461\";\n}\n\n.fa-file-invoice::before {\n  content: \"\\f570\";\n}\n\n.fa-window-minimize::before {\n  content: \"\\f2d1\";\n}\n\n.fa-mug-saucer::before {\n  content: \"\\f0f4\";\n}\n\n.fa-coffee::before {\n  content: \"\\f0f4\";\n}\n\n.fa-brush::before {\n  content: \"\\f55d\";\n}\n\n.fa-mask::before {\n  content: \"\\f6fa\";\n}\n\n.fa-magnifying-glass-minus::before {\n  content: \"\\f010\";\n}\n\n.fa-search-minus::before {\n  content: \"\\f010\";\n}\n\n.fa-ruler-vertical::before {\n  content: \"\\f548\";\n}\n\n.fa-user-large::before {\n  content: \"\\f406\";\n}\n\n.fa-user-alt::before {\n  content: \"\\f406\";\n}\n\n.fa-train-tram::before {\n  content: \"\\e5b4\";\n}\n\n.fa-user-nurse::before {\n  content: \"\\f82f\";\n}\n\n.fa-syringe::before {\n  content: \"\\f48e\";\n}\n\n.fa-cloud-sun::before {\n  content: \"\\f6c4\";\n}\n\n.fa-stopwatch-20::before {\n  content: \"\\e06f\";\n}\n\n.fa-square-full::before {\n  content: \"\\f45c\";\n}\n\n.fa-magnet::before {\n  content: \"\\f076\";\n}\n\n.fa-jar::before {\n  content: \"\\e516\";\n}\n\n.fa-note-sticky::before {\n  content: \"\\f249\";\n}\n\n.fa-sticky-note::before {\n  content: \"\\f249\";\n}\n\n.fa-bug-slash::before {\n  content: \"\\e490\";\n}\n\n.fa-arrow-up-from-water-pump::before {\n  content: \"\\e4b6\";\n}\n\n.fa-bone::before {\n  content: \"\\f5d7\";\n}\n\n.fa-user-injured::before {\n  content: \"\\f728\";\n}\n\n.fa-face-sad-tear::before {\n  content: \"\\f5b4\";\n}\n\n.fa-sad-tear::before {\n  content: \"\\f5b4\";\n}\n\n.fa-plane::before {\n  content: \"\\f072\";\n}\n\n.fa-tent-arrows-down::before {\n  content: \"\\e581\";\n}\n\n.fa-exclamation::before {\n  content: \"\\!\";\n}\n\n.fa-arrows-spin::before {\n  content: \"\\e4bb\";\n}\n\n.fa-print::before {\n  content: \"\\f02f\";\n}\n\n.fa-turkish-lira-sign::before {\n  content: \"\\e2bb\";\n}\n\n.fa-try::before {\n  content: \"\\e2bb\";\n}\n\n.fa-turkish-lira::before {\n  content: \"\\e2bb\";\n}\n\n.fa-dollar-sign::before {\n  content: \"\\$\";\n}\n\n.fa-dollar::before {\n  content: \"\\$\";\n}\n\n.fa-usd::before {\n  content: \"\\$\";\n}\n\n.fa-x::before {\n  content: \"X\";\n}\n\n.fa-magnifying-glass-dollar::before {\n  content: \"\\f688\";\n}\n\n.fa-search-dollar::before {\n  content: \"\\f688\";\n}\n\n.fa-users-gear::before {\n  content: \"\\f509\";\n}\n\n.fa-users-cog::before {\n  content: \"\\f509\";\n}\n\n.fa-person-military-pointing::before {\n  content: \"\\e54a\";\n}\n\n.fa-building-columns::before {\n  content: \"\\f19c\";\n}\n\n.fa-bank::before {\n  content: \"\\f19c\";\n}\n\n.fa-institution::before {\n  content: \"\\f19c\";\n}\n\n.fa-museum::before {\n  content: \"\\f19c\";\n}\n\n.fa-university::before {\n  content: \"\\f19c\";\n}\n\n.fa-umbrella::before {\n  content: \"\\f0e9\";\n}\n\n.fa-trowel::before {\n  content: \"\\e589\";\n}\n\n.fa-d::before {\n  content: \"D\";\n}\n\n.fa-stapler::before {\n  content: \"\\e5af\";\n}\n\n.fa-masks-theater::before {\n  content: \"\\f630\";\n}\n\n.fa-theater-masks::before {\n  content: \"\\f630\";\n}\n\n.fa-kip-sign::before {\n  content: \"\\e1c4\";\n}\n\n.fa-hand-point-left::before {\n  content: \"\\f0a5\";\n}\n\n.fa-handshake-simple::before {\n  content: \"\\f4c6\";\n}\n\n.fa-handshake-alt::before {\n  content: \"\\f4c6\";\n}\n\n.fa-jet-fighter::before {\n  content: \"\\f0fb\";\n}\n\n.fa-fighter-jet::before {\n  content: \"\\f0fb\";\n}\n\n.fa-square-share-nodes::before {\n  content: \"\\f1e1\";\n}\n\n.fa-share-alt-square::before {\n  content: \"\\f1e1\";\n}\n\n.fa-barcode::before {\n  content: \"\\f02a\";\n}\n\n.fa-plus-minus::before {\n  content: \"\\e43c\";\n}\n\n.fa-video::before {\n  content: \"\\f03d\";\n}\n\n.fa-video-camera::before {\n  content: \"\\f03d\";\n}\n\n.fa-graduation-cap::before {\n  content: \"\\f19d\";\n}\n\n.fa-mortar-board::before {\n  content: \"\\f19d\";\n}\n\n.fa-hand-holding-medical::before {\n  content: \"\\e05c\";\n}\n\n.fa-person-circle-check::before {\n  content: \"\\e53e\";\n}\n\n.fa-turn-up::before {\n  content: \"\\f3bf\";\n}\n\n.fa-level-up-alt::before {\n  content: \"\\f3bf\";\n}\n\n.sr-only,\n.fa-sr-only {\n  position: absolute;\n  width: 1px;\n  height: 1px;\n  padding: 0;\n  margin: -1px;\n  overflow: hidden;\n  clip: rect(0, 0, 0, 0);\n  white-space: nowrap;\n  border-width: 0;\n}\n\n.sr-only-focusable:not(:focus),\n.fa-sr-only-focusable:not(:focus) {\n  position: absolute;\n  width: 1px;\n  height: 1px;\n  padding: 0;\n  margin: -1px;\n  overflow: hidden;\n  clip: rect(0, 0, 0, 0);\n  white-space: nowrap;\n  border-width: 0;\n}\n\n/*!\n * Font Awesome Free 6.5.2 by @fontawesome - https://fontawesome.com\n * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)\n * Copyright 2024 Fonticons, Inc.\n */\n:root, :host {\n  --fa-style-family-classic: \"Font Awesome 6 Free\";\n  --fa-font-solid: normal 900 1em/1 \"Font Awesome 6 Free\";\n}\n\n@font-face {\n  font-family: \"Font Awesome 6 Free\";\n  font-style: normal;\n  font-weight: 900;\n  font-display: block;\n  src: url(\"../webfonts/fa-solid-900.woff2\") format(\"woff2\"), url(\"../webfonts/fa-solid-900.ttf\") format(\"truetype\");\n}\n.fas,\n.fa-solid {\n  font-weight: 900;\n}\n\n/*!\n * Font Awesome Free 6.5.2 by @fontawesome - https://fontawesome.com\n * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)\n * Copyright 2024 Fonticons, Inc.\n */\n:root, :host {\n  --fa-style-family-classic: \"Font Awesome 6 Free\";\n  --fa-font-regular: normal 400 1em/1 \"Font Awesome 6 Free\";\n}\n\n@font-face {\n  font-family: \"Font Awesome 6 Free\";\n  font-style: normal;\n  font-weight: 400;\n  font-display: block;\n  src: url(\"../webfonts/fa-regular-400.woff2\") format(\"woff2\"), url(\"../webfonts/fa-regular-400.ttf\") format(\"truetype\");\n}\n.far,\n.fa-regular {\n  font-weight: 400;\n}\n\n/*!\n * Font Awesome Free 6.5.2 by @fontawesome - https://fontawesome.com\n * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)\n * Copyright 2024 Fonticons, Inc.\n */\n:root, :host {\n  --fa-style-family-brands: \"Font Awesome 6 Brands\";\n  --fa-font-brands: normal 400 1em/1 \"Font Awesome 6 Brands\";\n}\n\n@font-face {\n  font-family: \"Font Awesome 6 Brands\";\n  font-style: normal;\n  font-weight: 400;\n  font-display: block;\n  src: url(\"../webfonts/fa-brands-400.woff2\") format(\"woff2\"), url(\"../webfonts/fa-brands-400.ttf\") format(\"truetype\");\n}\n.fab,\n.fa-brands {\n  font-weight: 400;\n}\n\n.fa-monero:before {\n  content: \"\\f3d0\";\n}\n\n.fa-hooli:before {\n  content: \"\\f427\";\n}\n\n.fa-yelp:before {\n  content: \"\\f1e9\";\n}\n\n.fa-cc-visa:before {\n  content: \"\\f1f0\";\n}\n\n.fa-lastfm:before {\n  content: \"\\f202\";\n}\n\n.fa-shopware:before {\n  content: \"\\f5b5\";\n}\n\n.fa-creative-commons-nc:before {\n  content: \"\\f4e8\";\n}\n\n.fa-aws:before {\n  content: \"\\f375\";\n}\n\n.fa-redhat:before {\n  content: \"\\f7bc\";\n}\n\n.fa-yoast:before {\n  content: \"\\f2b1\";\n}\n\n.fa-cloudflare:before {\n  content: \"\\e07d\";\n}\n\n.fa-ups:before {\n  content: \"\\f7e0\";\n}\n\n.fa-pixiv:before {\n  content: \"\\e640\";\n}\n\n.fa-wpexplorer:before {\n  content: \"\\f2de\";\n}\n\n.fa-dyalog:before {\n  content: \"\\f399\";\n}\n\n.fa-bity:before {\n  content: \"\\f37a\";\n}\n\n.fa-stackpath:before {\n  content: \"\\f842\";\n}\n\n.fa-buysellads:before {\n  content: \"\\f20d\";\n}\n\n.fa-first-order:before {\n  content: \"\\f2b0\";\n}\n\n.fa-modx:before {\n  content: \"\\f285\";\n}\n\n.fa-guilded:before {\n  content: \"\\e07e\";\n}\n\n.fa-vnv:before {\n  content: \"\\f40b\";\n}\n\n.fa-square-js:before {\n  content: \"\\f3b9\";\n}\n\n.fa-js-square:before {\n  content: \"\\f3b9\";\n}\n\n.fa-microsoft:before {\n  content: \"\\f3ca\";\n}\n\n.fa-qq:before {\n  content: \"\\f1d6\";\n}\n\n.fa-orcid:before {\n  content: \"\\f8d2\";\n}\n\n.fa-java:before {\n  content: \"\\f4e4\";\n}\n\n.fa-invision:before {\n  content: \"\\f7b0\";\n}\n\n.fa-creative-commons-pd-alt:before {\n  content: \"\\f4ed\";\n}\n\n.fa-centercode:before {\n  content: \"\\f380\";\n}\n\n.fa-glide-g:before {\n  content: \"\\f2a6\";\n}\n\n.fa-drupal:before {\n  content: \"\\f1a9\";\n}\n\n.fa-jxl:before {\n  content: \"\\e67b\";\n}\n\n.fa-hire-a-helper:before {\n  content: \"\\f3b0\";\n}\n\n.fa-creative-commons-by:before {\n  content: \"\\f4e7\";\n}\n\n.fa-unity:before {\n  content: \"\\e049\";\n}\n\n.fa-whmcs:before {\n  content: \"\\f40d\";\n}\n\n.fa-rocketchat:before {\n  content: \"\\f3e8\";\n}\n\n.fa-vk:before {\n  content: \"\\f189\";\n}\n\n.fa-untappd:before {\n  content: \"\\f405\";\n}\n\n.fa-mailchimp:before {\n  content: \"\\f59e\";\n}\n\n.fa-css3-alt:before {\n  content: \"\\f38b\";\n}\n\n.fa-square-reddit:before {\n  content: \"\\f1a2\";\n}\n\n.fa-reddit-square:before {\n  content: \"\\f1a2\";\n}\n\n.fa-vimeo-v:before {\n  content: \"\\f27d\";\n}\n\n.fa-contao:before {\n  content: \"\\f26d\";\n}\n\n.fa-square-font-awesome:before {\n  content: \"\\e5ad\";\n}\n\n.fa-deskpro:before {\n  content: \"\\f38f\";\n}\n\n.fa-brave:before {\n  content: \"\\e63c\";\n}\n\n.fa-sistrix:before {\n  content: \"\\f3ee\";\n}\n\n.fa-square-instagram:before {\n  content: \"\\e055\";\n}\n\n.fa-instagram-square:before {\n  content: \"\\e055\";\n}\n\n.fa-battle-net:before {\n  content: \"\\f835\";\n}\n\n.fa-the-red-yeti:before {\n  content: \"\\f69d\";\n}\n\n.fa-square-hacker-news:before {\n  content: \"\\f3af\";\n}\n\n.fa-hacker-news-square:before {\n  content: \"\\f3af\";\n}\n\n.fa-edge:before {\n  content: \"\\f282\";\n}\n\n.fa-threads:before {\n  content: \"\\e618\";\n}\n\n.fa-napster:before {\n  content: \"\\f3d2\";\n}\n\n.fa-square-snapchat:before {\n  content: \"\\f2ad\";\n}\n\n.fa-snapchat-square:before {\n  content: \"\\f2ad\";\n}\n\n.fa-google-plus-g:before {\n  content: \"\\f0d5\";\n}\n\n.fa-artstation:before {\n  content: \"\\f77a\";\n}\n\n.fa-markdown:before {\n  content: \"\\f60f\";\n}\n\n.fa-sourcetree:before {\n  content: \"\\f7d3\";\n}\n\n.fa-google-plus:before {\n  content: \"\\f2b3\";\n}\n\n.fa-diaspora:before {\n  content: \"\\f791\";\n}\n\n.fa-foursquare:before {\n  content: \"\\f180\";\n}\n\n.fa-stack-overflow:before {\n  content: \"\\f16c\";\n}\n\n.fa-github-alt:before {\n  content: \"\\f113\";\n}\n\n.fa-phoenix-squadron:before {\n  content: \"\\f511\";\n}\n\n.fa-pagelines:before {\n  content: \"\\f18c\";\n}\n\n.fa-algolia:before {\n  content: \"\\f36c\";\n}\n\n.fa-red-river:before {\n  content: \"\\f3e3\";\n}\n\n.fa-creative-commons-sa:before {\n  content: \"\\f4ef\";\n}\n\n.fa-safari:before {\n  content: \"\\f267\";\n}\n\n.fa-google:before {\n  content: \"\\f1a0\";\n}\n\n.fa-square-font-awesome-stroke:before {\n  content: \"\\f35c\";\n}\n\n.fa-font-awesome-alt:before {\n  content: \"\\f35c\";\n}\n\n.fa-atlassian:before {\n  content: \"\\f77b\";\n}\n\n.fa-linkedin-in:before {\n  content: \"\\f0e1\";\n}\n\n.fa-digital-ocean:before {\n  content: \"\\f391\";\n}\n\n.fa-nimblr:before {\n  content: \"\\f5a8\";\n}\n\n.fa-chromecast:before {\n  content: \"\\f838\";\n}\n\n.fa-evernote:before {\n  content: \"\\f839\";\n}\n\n.fa-hacker-news:before {\n  content: \"\\f1d4\";\n}\n\n.fa-creative-commons-sampling:before {\n  content: \"\\f4f0\";\n}\n\n.fa-adversal:before {\n  content: \"\\f36a\";\n}\n\n.fa-creative-commons:before {\n  content: \"\\f25e\";\n}\n\n.fa-watchman-monitoring:before {\n  content: \"\\e087\";\n}\n\n.fa-fonticons:before {\n  content: \"\\f280\";\n}\n\n.fa-weixin:before {\n  content: \"\\f1d7\";\n}\n\n.fa-shirtsinbulk:before {\n  content: \"\\f214\";\n}\n\n.fa-codepen:before {\n  content: \"\\f1cb\";\n}\n\n.fa-git-alt:before {\n  content: \"\\f841\";\n}\n\n.fa-lyft:before {\n  content: \"\\f3c3\";\n}\n\n.fa-rev:before {\n  content: \"\\f5b2\";\n}\n\n.fa-windows:before {\n  content: \"\\f17a\";\n}\n\n.fa-wizards-of-the-coast:before {\n  content: \"\\f730\";\n}\n\n.fa-square-viadeo:before {\n  content: \"\\f2aa\";\n}\n\n.fa-viadeo-square:before {\n  content: \"\\f2aa\";\n}\n\n.fa-meetup:before {\n  content: \"\\f2e0\";\n}\n\n.fa-centos:before {\n  content: \"\\f789\";\n}\n\n.fa-adn:before {\n  content: \"\\f170\";\n}\n\n.fa-cloudsmith:before {\n  content: \"\\f384\";\n}\n\n.fa-opensuse:before {\n  content: \"\\e62b\";\n}\n\n.fa-pied-piper-alt:before {\n  content: \"\\f1a8\";\n}\n\n.fa-square-dribbble:before {\n  content: \"\\f397\";\n}\n\n.fa-dribbble-square:before {\n  content: \"\\f397\";\n}\n\n.fa-codiepie:before {\n  content: \"\\f284\";\n}\n\n.fa-node:before {\n  content: \"\\f419\";\n}\n\n.fa-mix:before {\n  content: \"\\f3cb\";\n}\n\n.fa-steam:before {\n  content: \"\\f1b6\";\n}\n\n.fa-cc-apple-pay:before {\n  content: \"\\f416\";\n}\n\n.fa-scribd:before {\n  content: \"\\f28a\";\n}\n\n.fa-debian:before {\n  content: \"\\e60b\";\n}\n\n.fa-openid:before {\n  content: \"\\f19b\";\n}\n\n.fa-instalod:before {\n  content: \"\\e081\";\n}\n\n.fa-expeditedssl:before {\n  content: \"\\f23e\";\n}\n\n.fa-sellcast:before {\n  content: \"\\f2da\";\n}\n\n.fa-square-twitter:before {\n  content: \"\\f081\";\n}\n\n.fa-twitter-square:before {\n  content: \"\\f081\";\n}\n\n.fa-r-project:before {\n  content: \"\\f4f7\";\n}\n\n.fa-delicious:before {\n  content: \"\\f1a5\";\n}\n\n.fa-freebsd:before {\n  content: \"\\f3a4\";\n}\n\n.fa-vuejs:before {\n  content: \"\\f41f\";\n}\n\n.fa-accusoft:before {\n  content: \"\\f369\";\n}\n\n.fa-ioxhost:before {\n  content: \"\\f208\";\n}\n\n.fa-fonticons-fi:before {\n  content: \"\\f3a2\";\n}\n\n.fa-app-store:before {\n  content: \"\\f36f\";\n}\n\n.fa-cc-mastercard:before {\n  content: \"\\f1f1\";\n}\n\n.fa-itunes-note:before {\n  content: \"\\f3b5\";\n}\n\n.fa-golang:before {\n  content: \"\\e40f\";\n}\n\n.fa-kickstarter:before {\n  content: \"\\f3bb\";\n}\n\n.fa-square-kickstarter:before {\n  content: \"\\f3bb\";\n}\n\n.fa-grav:before {\n  content: \"\\f2d6\";\n}\n\n.fa-weibo:before {\n  content: \"\\f18a\";\n}\n\n.fa-uncharted:before {\n  content: \"\\e084\";\n}\n\n.fa-firstdraft:before {\n  content: \"\\f3a1\";\n}\n\n.fa-square-youtube:before {\n  content: \"\\f431\";\n}\n\n.fa-youtube-square:before {\n  content: \"\\f431\";\n}\n\n.fa-wikipedia-w:before {\n  content: \"\\f266\";\n}\n\n.fa-wpressr:before {\n  content: \"\\f3e4\";\n}\n\n.fa-rendact:before {\n  content: \"\\f3e4\";\n}\n\n.fa-angellist:before {\n  content: \"\\f209\";\n}\n\n.fa-galactic-republic:before {\n  content: \"\\f50c\";\n}\n\n.fa-nfc-directional:before {\n  content: \"\\e530\";\n}\n\n.fa-skype:before {\n  content: \"\\f17e\";\n}\n\n.fa-joget:before {\n  content: \"\\f3b7\";\n}\n\n.fa-fedora:before {\n  content: \"\\f798\";\n}\n\n.fa-stripe-s:before {\n  content: \"\\f42a\";\n}\n\n.fa-meta:before {\n  content: \"\\e49b\";\n}\n\n.fa-laravel:before {\n  content: \"\\f3bd\";\n}\n\n.fa-hotjar:before {\n  content: \"\\f3b1\";\n}\n\n.fa-bluetooth-b:before {\n  content: \"\\f294\";\n}\n\n.fa-square-letterboxd:before {\n  content: \"\\e62e\";\n}\n\n.fa-sticker-mule:before {\n  content: \"\\f3f7\";\n}\n\n.fa-creative-commons-zero:before {\n  content: \"\\f4f3\";\n}\n\n.fa-hips:before {\n  content: \"\\f452\";\n}\n\n.fa-behance:before {\n  content: \"\\f1b4\";\n}\n\n.fa-reddit:before {\n  content: \"\\f1a1\";\n}\n\n.fa-discord:before {\n  content: \"\\f392\";\n}\n\n.fa-chrome:before {\n  content: \"\\f268\";\n}\n\n.fa-app-store-ios:before {\n  content: \"\\f370\";\n}\n\n.fa-cc-discover:before {\n  content: \"\\f1f2\";\n}\n\n.fa-wpbeginner:before {\n  content: \"\\f297\";\n}\n\n.fa-confluence:before {\n  content: \"\\f78d\";\n}\n\n.fa-shoelace:before {\n  content: \"\\e60c\";\n}\n\n.fa-mdb:before {\n  content: \"\\f8ca\";\n}\n\n.fa-dochub:before {\n  content: \"\\f394\";\n}\n\n.fa-accessible-icon:before {\n  content: \"\\f368\";\n}\n\n.fa-ebay:before {\n  content: \"\\f4f4\";\n}\n\n.fa-amazon:before {\n  content: \"\\f270\";\n}\n\n.fa-unsplash:before {\n  content: \"\\e07c\";\n}\n\n.fa-yarn:before {\n  content: \"\\f7e3\";\n}\n\n.fa-square-steam:before {\n  content: \"\\f1b7\";\n}\n\n.fa-steam-square:before {\n  content: \"\\f1b7\";\n}\n\n.fa-500px:before {\n  content: \"\\f26e\";\n}\n\n.fa-square-vimeo:before {\n  content: \"\\f194\";\n}\n\n.fa-vimeo-square:before {\n  content: \"\\f194\";\n}\n\n.fa-asymmetrik:before {\n  content: \"\\f372\";\n}\n\n.fa-font-awesome:before {\n  content: \"\\f2b4\";\n}\n\n.fa-font-awesome-flag:before {\n  content: \"\\f2b4\";\n}\n\n.fa-font-awesome-logo-full:before {\n  content: \"\\f2b4\";\n}\n\n.fa-gratipay:before {\n  content: \"\\f184\";\n}\n\n.fa-apple:before {\n  content: \"\\f179\";\n}\n\n.fa-hive:before {\n  content: \"\\e07f\";\n}\n\n.fa-gitkraken:before {\n  content: \"\\f3a6\";\n}\n\n.fa-keybase:before {\n  content: \"\\f4f5\";\n}\n\n.fa-apple-pay:before {\n  content: \"\\f415\";\n}\n\n.fa-padlet:before {\n  content: \"\\e4a0\";\n}\n\n.fa-amazon-pay:before {\n  content: \"\\f42c\";\n}\n\n.fa-square-github:before {\n  content: \"\\f092\";\n}\n\n.fa-github-square:before {\n  content: \"\\f092\";\n}\n\n.fa-stumbleupon:before {\n  content: \"\\f1a4\";\n}\n\n.fa-fedex:before {\n  content: \"\\f797\";\n}\n\n.fa-phoenix-framework:before {\n  content: \"\\f3dc\";\n}\n\n.fa-shopify:before {\n  content: \"\\e057\";\n}\n\n.fa-neos:before {\n  content: \"\\f612\";\n}\n\n.fa-square-threads:before {\n  content: \"\\e619\";\n}\n\n.fa-hackerrank:before {\n  content: \"\\f5f7\";\n}\n\n.fa-researchgate:before {\n  content: \"\\f4f8\";\n}\n\n.fa-swift:before {\n  content: \"\\f8e1\";\n}\n\n.fa-angular:before {\n  content: \"\\f420\";\n}\n\n.fa-speakap:before {\n  content: \"\\f3f3\";\n}\n\n.fa-angrycreative:before {\n  content: \"\\f36e\";\n}\n\n.fa-y-combinator:before {\n  content: \"\\f23b\";\n}\n\n.fa-empire:before {\n  content: \"\\f1d1\";\n}\n\n.fa-envira:before {\n  content: \"\\f299\";\n}\n\n.fa-google-scholar:before {\n  content: \"\\e63b\";\n}\n\n.fa-square-gitlab:before {\n  content: \"\\e5ae\";\n}\n\n.fa-gitlab-square:before {\n  content: \"\\e5ae\";\n}\n\n.fa-studiovinari:before {\n  content: \"\\f3f8\";\n}\n\n.fa-pied-piper:before {\n  content: \"\\f2ae\";\n}\n\n.fa-wordpress:before {\n  content: \"\\f19a\";\n}\n\n.fa-product-hunt:before {\n  content: \"\\f288\";\n}\n\n.fa-firefox:before {\n  content: \"\\f269\";\n}\n\n.fa-linode:before {\n  content: \"\\f2b8\";\n}\n\n.fa-goodreads:before {\n  content: \"\\f3a8\";\n}\n\n.fa-square-odnoklassniki:before {\n  content: \"\\f264\";\n}\n\n.fa-odnoklassniki-square:before {\n  content: \"\\f264\";\n}\n\n.fa-jsfiddle:before {\n  content: \"\\f1cc\";\n}\n\n.fa-sith:before {\n  content: \"\\f512\";\n}\n\n.fa-themeisle:before {\n  content: \"\\f2b2\";\n}\n\n.fa-page4:before {\n  content: \"\\f3d7\";\n}\n\n.fa-hashnode:before {\n  content: \"\\e499\";\n}\n\n.fa-react:before {\n  content: \"\\f41b\";\n}\n\n.fa-cc-paypal:before {\n  content: \"\\f1f4\";\n}\n\n.fa-squarespace:before {\n  content: \"\\f5be\";\n}\n\n.fa-cc-stripe:before {\n  content: \"\\f1f5\";\n}\n\n.fa-creative-commons-share:before {\n  content: \"\\f4f2\";\n}\n\n.fa-bitcoin:before {\n  content: \"\\f379\";\n}\n\n.fa-keycdn:before {\n  content: \"\\f3ba\";\n}\n\n.fa-opera:before {\n  content: \"\\f26a\";\n}\n\n.fa-itch-io:before {\n  content: \"\\f83a\";\n}\n\n.fa-umbraco:before {\n  content: \"\\f8e8\";\n}\n\n.fa-galactic-senate:before {\n  content: \"\\f50d\";\n}\n\n.fa-ubuntu:before {\n  content: \"\\f7df\";\n}\n\n.fa-draft2digital:before {\n  content: \"\\f396\";\n}\n\n.fa-stripe:before {\n  content: \"\\f429\";\n}\n\n.fa-houzz:before {\n  content: \"\\f27c\";\n}\n\n.fa-gg:before {\n  content: \"\\f260\";\n}\n\n.fa-dhl:before {\n  content: \"\\f790\";\n}\n\n.fa-square-pinterest:before {\n  content: \"\\f0d3\";\n}\n\n.fa-pinterest-square:before {\n  content: \"\\f0d3\";\n}\n\n.fa-xing:before {\n  content: \"\\f168\";\n}\n\n.fa-blackberry:before {\n  content: \"\\f37b\";\n}\n\n.fa-creative-commons-pd:before {\n  content: \"\\f4ec\";\n}\n\n.fa-playstation:before {\n  content: \"\\f3df\";\n}\n\n.fa-quinscape:before {\n  content: \"\\f459\";\n}\n\n.fa-less:before {\n  content: \"\\f41d\";\n}\n\n.fa-blogger-b:before {\n  content: \"\\f37d\";\n}\n\n.fa-opencart:before {\n  content: \"\\f23d\";\n}\n\n.fa-vine:before {\n  content: \"\\f1ca\";\n}\n\n.fa-signal-messenger:before {\n  content: \"\\e663\";\n}\n\n.fa-paypal:before {\n  content: \"\\f1ed\";\n}\n\n.fa-gitlab:before {\n  content: \"\\f296\";\n}\n\n.fa-typo3:before {\n  content: \"\\f42b\";\n}\n\n.fa-reddit-alien:before {\n  content: \"\\f281\";\n}\n\n.fa-yahoo:before {\n  content: \"\\f19e\";\n}\n\n.fa-dailymotion:before {\n  content: \"\\e052\";\n}\n\n.fa-affiliatetheme:before {\n  content: \"\\f36b\";\n}\n\n.fa-pied-piper-pp:before {\n  content: \"\\f1a7\";\n}\n\n.fa-bootstrap:before {\n  content: \"\\f836\";\n}\n\n.fa-odnoklassniki:before {\n  content: \"\\f263\";\n}\n\n.fa-nfc-symbol:before {\n  content: \"\\e531\";\n}\n\n.fa-mintbit:before {\n  content: \"\\e62f\";\n}\n\n.fa-ethereum:before {\n  content: \"\\f42e\";\n}\n\n.fa-speaker-deck:before {\n  content: \"\\f83c\";\n}\n\n.fa-creative-commons-nc-eu:before {\n  content: \"\\f4e9\";\n}\n\n.fa-patreon:before {\n  content: \"\\f3d9\";\n}\n\n.fa-avianex:before {\n  content: \"\\f374\";\n}\n\n.fa-ello:before {\n  content: \"\\f5f1\";\n}\n\n.fa-gofore:before {\n  content: \"\\f3a7\";\n}\n\n.fa-bimobject:before {\n  content: \"\\f378\";\n}\n\n.fa-brave-reverse:before {\n  content: \"\\e63d\";\n}\n\n.fa-facebook-f:before {\n  content: \"\\f39e\";\n}\n\n.fa-square-google-plus:before {\n  content: \"\\f0d4\";\n}\n\n.fa-google-plus-square:before {\n  content: \"\\f0d4\";\n}\n\n.fa-web-awesome:before {\n  content: \"\\e682\";\n}\n\n.fa-mandalorian:before {\n  content: \"\\f50f\";\n}\n\n.fa-first-order-alt:before {\n  content: \"\\f50a\";\n}\n\n.fa-osi:before {\n  content: \"\\f41a\";\n}\n\n.fa-google-wallet:before {\n  content: \"\\f1ee\";\n}\n\n.fa-d-and-d-beyond:before {\n  content: \"\\f6ca\";\n}\n\n.fa-periscope:before {\n  content: \"\\f3da\";\n}\n\n.fa-fulcrum:before {\n  content: \"\\f50b\";\n}\n\n.fa-cloudscale:before {\n  content: \"\\f383\";\n}\n\n.fa-forumbee:before {\n  content: \"\\f211\";\n}\n\n.fa-mizuni:before {\n  content: \"\\f3cc\";\n}\n\n.fa-schlix:before {\n  content: \"\\f3ea\";\n}\n\n.fa-square-xing:before {\n  content: \"\\f169\";\n}\n\n.fa-xing-square:before {\n  content: \"\\f169\";\n}\n\n.fa-bandcamp:before {\n  content: \"\\f2d5\";\n}\n\n.fa-wpforms:before {\n  content: \"\\f298\";\n}\n\n.fa-cloudversify:before {\n  content: \"\\f385\";\n}\n\n.fa-usps:before {\n  content: \"\\f7e1\";\n}\n\n.fa-megaport:before {\n  content: \"\\f5a3\";\n}\n\n.fa-magento:before {\n  content: \"\\f3c4\";\n}\n\n.fa-spotify:before {\n  content: \"\\f1bc\";\n}\n\n.fa-optin-monster:before {\n  content: \"\\f23c\";\n}\n\n.fa-fly:before {\n  content: \"\\f417\";\n}\n\n.fa-aviato:before {\n  content: \"\\f421\";\n}\n\n.fa-itunes:before {\n  content: \"\\f3b4\";\n}\n\n.fa-cuttlefish:before {\n  content: \"\\f38c\";\n}\n\n.fa-blogger:before {\n  content: \"\\f37c\";\n}\n\n.fa-flickr:before {\n  content: \"\\f16e\";\n}\n\n.fa-viber:before {\n  content: \"\\f409\";\n}\n\n.fa-soundcloud:before {\n  content: \"\\f1be\";\n}\n\n.fa-digg:before {\n  content: \"\\f1a6\";\n}\n\n.fa-tencent-weibo:before {\n  content: \"\\f1d5\";\n}\n\n.fa-letterboxd:before {\n  content: \"\\e62d\";\n}\n\n.fa-symfony:before {\n  content: \"\\f83d\";\n}\n\n.fa-maxcdn:before {\n  content: \"\\f136\";\n}\n\n.fa-etsy:before {\n  content: \"\\f2d7\";\n}\n\n.fa-facebook-messenger:before {\n  content: \"\\f39f\";\n}\n\n.fa-audible:before {\n  content: \"\\f373\";\n}\n\n.fa-think-peaks:before {\n  content: \"\\f731\";\n}\n\n.fa-bilibili:before {\n  content: \"\\e3d9\";\n}\n\n.fa-erlang:before {\n  content: \"\\f39d\";\n}\n\n.fa-x-twitter:before {\n  content: \"\\e61b\";\n}\n\n.fa-cotton-bureau:before {\n  content: \"\\f89e\";\n}\n\n.fa-dashcube:before {\n  content: \"\\f210\";\n}\n\n.fa-42-group:before {\n  content: \"\\e080\";\n}\n\n.fa-innosoft:before {\n  content: \"\\e080\";\n}\n\n.fa-stack-exchange:before {\n  content: \"\\f18d\";\n}\n\n.fa-elementor:before {\n  content: \"\\f430\";\n}\n\n.fa-square-pied-piper:before {\n  content: \"\\e01e\";\n}\n\n.fa-pied-piper-square:before {\n  content: \"\\e01e\";\n}\n\n.fa-creative-commons-nd:before {\n  content: \"\\f4eb\";\n}\n\n.fa-palfed:before {\n  content: \"\\f3d8\";\n}\n\n.fa-superpowers:before {\n  content: \"\\f2dd\";\n}\n\n.fa-resolving:before {\n  content: \"\\f3e7\";\n}\n\n.fa-xbox:before {\n  content: \"\\f412\";\n}\n\n.fa-square-web-awesome-stroke:before {\n  content: \"\\e684\";\n}\n\n.fa-searchengin:before {\n  content: \"\\f3eb\";\n}\n\n.fa-tiktok:before {\n  content: \"\\e07b\";\n}\n\n.fa-square-facebook:before {\n  content: \"\\f082\";\n}\n\n.fa-facebook-square:before {\n  content: \"\\f082\";\n}\n\n.fa-renren:before {\n  content: \"\\f18b\";\n}\n\n.fa-linux:before {\n  content: \"\\f17c\";\n}\n\n.fa-glide:before {\n  content: \"\\f2a5\";\n}\n\n.fa-linkedin:before {\n  content: \"\\f08c\";\n}\n\n.fa-hubspot:before {\n  content: \"\\f3b2\";\n}\n\n.fa-deploydog:before {\n  content: \"\\f38e\";\n}\n\n.fa-twitch:before {\n  content: \"\\f1e8\";\n}\n\n.fa-ravelry:before {\n  content: \"\\f2d9\";\n}\n\n.fa-mixer:before {\n  content: \"\\e056\";\n}\n\n.fa-square-lastfm:before {\n  content: \"\\f203\";\n}\n\n.fa-lastfm-square:before {\n  content: \"\\f203\";\n}\n\n.fa-vimeo:before {\n  content: \"\\f40a\";\n}\n\n.fa-mendeley:before {\n  content: \"\\f7b3\";\n}\n\n.fa-uniregistry:before {\n  content: \"\\f404\";\n}\n\n.fa-figma:before {\n  content: \"\\f799\";\n}\n\n.fa-creative-commons-remix:before {\n  content: \"\\f4ee\";\n}\n\n.fa-cc-amazon-pay:before {\n  content: \"\\f42d\";\n}\n\n.fa-dropbox:before {\n  content: \"\\f16b\";\n}\n\n.fa-instagram:before {\n  content: \"\\f16d\";\n}\n\n.fa-cmplid:before {\n  content: \"\\e360\";\n}\n\n.fa-upwork:before {\n  content: \"\\e641\";\n}\n\n.fa-facebook:before {\n  content: \"\\f09a\";\n}\n\n.fa-gripfire:before {\n  content: \"\\f3ac\";\n}\n\n.fa-jedi-order:before {\n  content: \"\\f50e\";\n}\n\n.fa-uikit:before {\n  content: \"\\f403\";\n}\n\n.fa-fort-awesome-alt:before {\n  content: \"\\f3a3\";\n}\n\n.fa-phabricator:before {\n  content: \"\\f3db\";\n}\n\n.fa-ussunnah:before {\n  content: \"\\f407\";\n}\n\n.fa-earlybirds:before {\n  content: \"\\f39a\";\n}\n\n.fa-trade-federation:before {\n  content: \"\\f513\";\n}\n\n.fa-autoprefixer:before {\n  content: \"\\f41c\";\n}\n\n.fa-whatsapp:before {\n  content: \"\\f232\";\n}\n\n.fa-square-upwork:before {\n  content: \"\\e67c\";\n}\n\n.fa-slideshare:before {\n  content: \"\\f1e7\";\n}\n\n.fa-google-play:before {\n  content: \"\\f3ab\";\n}\n\n.fa-viadeo:before {\n  content: \"\\f2a9\";\n}\n\n.fa-line:before {\n  content: \"\\f3c0\";\n}\n\n.fa-google-drive:before {\n  content: \"\\f3aa\";\n}\n\n.fa-servicestack:before {\n  content: \"\\f3ec\";\n}\n\n.fa-simplybuilt:before {\n  content: \"\\f215\";\n}\n\n.fa-bitbucket:before {\n  content: \"\\f171\";\n}\n\n.fa-imdb:before {\n  content: \"\\f2d8\";\n}\n\n.fa-deezer:before {\n  content: \"\\e077\";\n}\n\n.fa-raspberry-pi:before {\n  content: \"\\f7bb\";\n}\n\n.fa-jira:before {\n  content: \"\\f7b1\";\n}\n\n.fa-docker:before {\n  content: \"\\f395\";\n}\n\n.fa-screenpal:before {\n  content: \"\\e570\";\n}\n\n.fa-bluetooth:before {\n  content: \"\\f293\";\n}\n\n.fa-gitter:before {\n  content: \"\\f426\";\n}\n\n.fa-d-and-d:before {\n  content: \"\\f38d\";\n}\n\n.fa-microblog:before {\n  content: \"\\e01a\";\n}\n\n.fa-cc-diners-club:before {\n  content: \"\\f24c\";\n}\n\n.fa-gg-circle:before {\n  content: \"\\f261\";\n}\n\n.fa-pied-piper-hat:before {\n  content: \"\\f4e5\";\n}\n\n.fa-kickstarter-k:before {\n  content: \"\\f3bc\";\n}\n\n.fa-yandex:before {\n  content: \"\\f413\";\n}\n\n.fa-readme:before {\n  content: \"\\f4d5\";\n}\n\n.fa-html5:before {\n  content: \"\\f13b\";\n}\n\n.fa-sellsy:before {\n  content: \"\\f213\";\n}\n\n.fa-square-web-awesome:before {\n  content: \"\\e683\";\n}\n\n.fa-sass:before {\n  content: \"\\f41e\";\n}\n\n.fa-wirsindhandwerk:before {\n  content: \"\\e2d0\";\n}\n\n.fa-wsh:before {\n  content: \"\\e2d0\";\n}\n\n.fa-buromobelexperte:before {\n  content: \"\\f37f\";\n}\n\n.fa-salesforce:before {\n  content: \"\\f83b\";\n}\n\n.fa-octopus-deploy:before {\n  content: \"\\e082\";\n}\n\n.fa-medapps:before {\n  content: \"\\f3c6\";\n}\n\n.fa-ns8:before {\n  content: \"\\f3d5\";\n}\n\n.fa-pinterest-p:before {\n  content: \"\\f231\";\n}\n\n.fa-apper:before {\n  content: \"\\f371\";\n}\n\n.fa-fort-awesome:before {\n  content: \"\\f286\";\n}\n\n.fa-waze:before {\n  content: \"\\f83f\";\n}\n\n.fa-bluesky:before {\n  content: \"\\e671\";\n}\n\n.fa-cc-jcb:before {\n  content: \"\\f24b\";\n}\n\n.fa-snapchat:before {\n  content: \"\\f2ab\";\n}\n\n.fa-snapchat-ghost:before {\n  content: \"\\f2ab\";\n}\n\n.fa-fantasy-flight-games:before {\n  content: \"\\f6dc\";\n}\n\n.fa-rust:before {\n  content: \"\\e07a\";\n}\n\n.fa-wix:before {\n  content: \"\\f5cf\";\n}\n\n.fa-square-behance:before {\n  content: \"\\f1b5\";\n}\n\n.fa-behance-square:before {\n  content: \"\\f1b5\";\n}\n\n.fa-supple:before {\n  content: \"\\f3f9\";\n}\n\n.fa-webflow:before {\n  content: \"\\e65c\";\n}\n\n.fa-rebel:before {\n  content: \"\\f1d0\";\n}\n\n.fa-css3:before {\n  content: \"\\f13c\";\n}\n\n.fa-staylinked:before {\n  content: \"\\f3f5\";\n}\n\n.fa-kaggle:before {\n  content: \"\\f5fa\";\n}\n\n.fa-space-awesome:before {\n  content: \"\\e5ac\";\n}\n\n.fa-deviantart:before {\n  content: \"\\f1bd\";\n}\n\n.fa-cpanel:before {\n  content: \"\\f388\";\n}\n\n.fa-goodreads-g:before {\n  content: \"\\f3a9\";\n}\n\n.fa-square-git:before {\n  content: \"\\f1d2\";\n}\n\n.fa-git-square:before {\n  content: \"\\f1d2\";\n}\n\n.fa-square-tumblr:before {\n  content: \"\\f174\";\n}\n\n.fa-tumblr-square:before {\n  content: \"\\f174\";\n}\n\n.fa-trello:before {\n  content: \"\\f181\";\n}\n\n.fa-creative-commons-nc-jp:before {\n  content: \"\\f4ea\";\n}\n\n.fa-get-pocket:before {\n  content: \"\\f265\";\n}\n\n.fa-perbyte:before {\n  content: \"\\e083\";\n}\n\n.fa-grunt:before {\n  content: \"\\f3ad\";\n}\n\n.fa-weebly:before {\n  content: \"\\f5cc\";\n}\n\n.fa-connectdevelop:before {\n  content: \"\\f20e\";\n}\n\n.fa-leanpub:before {\n  content: \"\\f212\";\n}\n\n.fa-black-tie:before {\n  content: \"\\f27e\";\n}\n\n.fa-themeco:before {\n  content: \"\\f5c6\";\n}\n\n.fa-python:before {\n  content: \"\\f3e2\";\n}\n\n.fa-android:before {\n  content: \"\\f17b\";\n}\n\n.fa-bots:before {\n  content: \"\\e340\";\n}\n\n.fa-free-code-camp:before {\n  content: \"\\f2c5\";\n}\n\n.fa-hornbill:before {\n  content: \"\\f592\";\n}\n\n.fa-js:before {\n  content: \"\\f3b8\";\n}\n\n.fa-ideal:before {\n  content: \"\\e013\";\n}\n\n.fa-git:before {\n  content: \"\\f1d3\";\n}\n\n.fa-dev:before {\n  content: \"\\f6cc\";\n}\n\n.fa-sketch:before {\n  content: \"\\f7c6\";\n}\n\n.fa-yandex-international:before {\n  content: \"\\f414\";\n}\n\n.fa-cc-amex:before {\n  content: \"\\f1f3\";\n}\n\n.fa-uber:before {\n  content: \"\\f402\";\n}\n\n.fa-github:before {\n  content: \"\\f09b\";\n}\n\n.fa-php:before {\n  content: \"\\f457\";\n}\n\n.fa-alipay:before {\n  content: \"\\f642\";\n}\n\n.fa-youtube:before {\n  content: \"\\f167\";\n}\n\n.fa-skyatlas:before {\n  content: \"\\f216\";\n}\n\n.fa-firefox-browser:before {\n  content: \"\\e007\";\n}\n\n.fa-replyd:before {\n  content: \"\\f3e6\";\n}\n\n.fa-suse:before {\n  content: \"\\f7d6\";\n}\n\n.fa-jenkins:before {\n  content: \"\\f3b6\";\n}\n\n.fa-twitter:before {\n  content: \"\\f099\";\n}\n\n.fa-rockrms:before {\n  content: \"\\f3e9\";\n}\n\n.fa-pinterest:before {\n  content: \"\\f0d2\";\n}\n\n.fa-buffer:before {\n  content: \"\\f837\";\n}\n\n.fa-npm:before {\n  content: \"\\f3d4\";\n}\n\n.fa-yammer:before {\n  content: \"\\f840\";\n}\n\n.fa-btc:before {\n  content: \"\\f15a\";\n}\n\n.fa-dribbble:before {\n  content: \"\\f17d\";\n}\n\n.fa-stumbleupon-circle:before {\n  content: \"\\f1a3\";\n}\n\n.fa-internet-explorer:before {\n  content: \"\\f26b\";\n}\n\n.fa-stubber:before {\n  content: \"\\e5c7\";\n}\n\n.fa-telegram:before {\n  content: \"\\f2c6\";\n}\n\n.fa-telegram-plane:before {\n  content: \"\\f2c6\";\n}\n\n.fa-old-republic:before {\n  content: \"\\f510\";\n}\n\n.fa-odysee:before {\n  content: \"\\e5c6\";\n}\n\n.fa-square-whatsapp:before {\n  content: \"\\f40c\";\n}\n\n.fa-whatsapp-square:before {\n  content: \"\\f40c\";\n}\n\n.fa-node-js:before {\n  content: \"\\f3d3\";\n}\n\n.fa-edge-legacy:before {\n  content: \"\\e078\";\n}\n\n.fa-slack:before {\n  content: \"\\f198\";\n}\n\n.fa-slack-hash:before {\n  content: \"\\f198\";\n}\n\n.fa-medrt:before {\n  content: \"\\f3c8\";\n}\n\n.fa-usb:before {\n  content: \"\\f287\";\n}\n\n.fa-tumblr:before {\n  content: \"\\f173\";\n}\n\n.fa-vaadin:before {\n  content: \"\\f408\";\n}\n\n.fa-quora:before {\n  content: \"\\f2c4\";\n}\n\n.fa-square-x-twitter:before {\n  content: \"\\e61a\";\n}\n\n.fa-reacteurope:before {\n  content: \"\\f75d\";\n}\n\n.fa-medium:before {\n  content: \"\\f23a\";\n}\n\n.fa-medium-m:before {\n  content: \"\\f23a\";\n}\n\n.fa-amilia:before {\n  content: \"\\f36d\";\n}\n\n.fa-mixcloud:before {\n  content: \"\\f289\";\n}\n\n.fa-flipboard:before {\n  content: \"\\f44d\";\n}\n\n.fa-viacoin:before {\n  content: \"\\f237\";\n}\n\n.fa-critical-role:before {\n  content: \"\\f6c9\";\n}\n\n.fa-sitrox:before {\n  content: \"\\e44a\";\n}\n\n.fa-discourse:before {\n  content: \"\\f393\";\n}\n\n.fa-joomla:before {\n  content: \"\\f1aa\";\n}\n\n.fa-mastodon:before {\n  content: \"\\f4f6\";\n}\n\n.fa-airbnb:before {\n  content: \"\\f834\";\n}\n\n.fa-wolf-pack-battalion:before {\n  content: \"\\f514\";\n}\n\n.fa-buy-n-large:before {\n  content: \"\\f8a6\";\n}\n\n.fa-gulp:before {\n  content: \"\\f3ae\";\n}\n\n.fa-creative-commons-sampling-plus:before {\n  content: \"\\f4f1\";\n}\n\n.fa-strava:before {\n  content: \"\\f428\";\n}\n\n.fa-ember:before {\n  content: \"\\f423\";\n}\n\n.fa-canadian-maple-leaf:before {\n  content: \"\\f785\";\n}\n\n.fa-teamspeak:before {\n  content: \"\\f4f9\";\n}\n\n.fa-pushed:before {\n  content: \"\\f3e1\";\n}\n\n.fa-wordpress-simple:before {\n  content: \"\\f411\";\n}\n\n.fa-nutritionix:before {\n  content: \"\\f3d6\";\n}\n\n.fa-wodu:before {\n  content: \"\\e088\";\n}\n\n.fa-google-pay:before {\n  content: \"\\e079\";\n}\n\n.fa-intercom:before {\n  content: \"\\f7af\";\n}\n\n.fa-zhihu:before {\n  content: \"\\f63f\";\n}\n\n.fa-korvue:before {\n  content: \"\\f42f\";\n}\n\n.fa-pix:before {\n  content: \"\\e43a\";\n}\n\n.fa-steam-symbol:before {\n  content: \"\\f3f6\";\n}\n\nhtml {\n  /*****************************************************************************\n  * Overall Layout Variables\n  */\n  --pst-header-height: 4rem;\n  --pst-header-article-height: calc(var(--pst-header-height) * 2 / 3);\n  --pst-sidebar-secondary: 17rem;\n}\n\n/*******************************************************************************\n* Breakpoints that trigger UI changes\n*\n* Note that media-breakpoint-down begins at the next highest level!\n* So we should choose a media-breakpoint-down one *lower* than when we want to start\n* example: media-breakpoint-up(md) and media-breakpoint-down(sm) trigger at the same time\n* ref: https://github.com/twbs/bootstrap/issues/31214\n*/\n/*******************************************************************************\n* Define the animation behaviour\n*/\n/*******************************************************************************\n* UI shaping and padding\n*/\nhtml {\n  /*****************************************************************************\n  * Font features used in this theme\n  */\n  --pst-font-size-base: 1rem;\n  --pst-font-size-h1: 2.625rem;\n  --pst-font-size-h2: 2.125rem;\n  --pst-font-size-h3: 1.75rem;\n  --pst-font-size-h4: 1.5rem;\n  --pst-font-size-h5: 1.25rem;\n  --pst-font-size-h6: 1rem;\n  --pst-font-size-milli: 0.9rem;\n  --pst-sidebar-font-size: 0.9rem;\n  --pst-sidebar-font-size-mobile: 1.1rem;\n  --pst-sidebar-header-font-size: 1.2rem;\n  --pst-sidebar-header-font-weight: 600;\n  --pst-admonition-font-weight-heading: 600;\n  --pst-font-weight-caption: 300;\n  --pst-font-weight-heading: 600;\n  --pst-font-family-base-system: -apple-system, \"BlinkMacSystemFont\", \"Segoe UI\",\n    \"Helvetica Neue\", \"Arial\", sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\",\n    \"Segoe UI Symbol\";\n  --pst-font-family-monospace-system: \"SFMono-Regular\", \"Menlo\", \"Consolas\",\n    \"Monaco\", \"Liberation Mono\", \"Lucida Console\", monospace;\n  --pst-font-family-base: var(--pst-font-family-base-system);\n  --pst-font-family-heading: var(--pst-font-family-base-system);\n  --pst-font-family-monospace: var(--pst-font-family-monospace-system);\n}\n\nhtml {\n  /*****************************************************************************\n  * Icon\n  */\n  --pst-font-size-icon: 1.5rem;\n  --pst-icon-check-circle: \"\";\n  --pst-icon-info-circle: \"\";\n  --pst-icon-exclamation-triangle: \"\";\n  --pst-icon-exclamation-circle: \"\";\n  --pst-icon-times-circle: \"\";\n  --pst-icon-lightbulb: \"\";\n  --pst-icon-download: \"\";\n  --pst-icon-angle-left: \"\";\n  --pst-icon-angle-right: \"\";\n  --pst-icon-external-link: \"\";\n  --pst-icon-search-minus: \"\";\n  --pst-icon-github: \"\";\n  --pst-icon-gitlab: \"\";\n  --pst-icon-share: \"\";\n  --pst-icon-bell: \"\";\n  --pst-icon-pencil: \"\";\n  --pst-breadcrumb-divider: \"\";\n}\n\nhtml {\n  /*****************************************************************************\n  * Admonitions\n  **/\n  --pst-icon-admonition-default: var(--pst-icon-bell);\n  --pst-icon-admonition-note: var(--pst-icon-info-circle);\n  --pst-icon-admonition-attention: var(--pst-icon-exclamation-circle);\n  --pst-icon-admonition-caution: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-warning: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-danger: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-error: var(--pst-icon-times-circle);\n  --pst-icon-admonition-hint: var(--pst-icon-lightbulb);\n  --pst-icon-admonition-tip: var(--pst-icon-lightbulb);\n  --pst-icon-admonition-important: var(--pst-icon-exclamation-circle);\n  --pst-icon-admonition-seealso: var(--pst-icon-share);\n  --pst-icon-admonition-todo: var(--pst-icon-pencil);\n}\n\nhtml {\n  /*****************************************************************************\n  * versionmodified\n  **/\n  --pst-icon-versionmodified-default: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-added: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-changed: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-deprecated: var(--pst-icon-exclamation-circle);\n}\n\n/*******************************************************************************\n* master color map. Only the colors that actually differ between light and dark\n* themes are specified separately.\n*\n* To see the full list of colors see https://www.figma.com/file/rUrrHGhUBBIAAjQ82x6pz9/PyData-Design-system---proposal-for-implementation-(2)?node-id=1234%3A765&t=ifcFT1JtnrSshGfi-1\n*/\n/**\n* Function to get items from nested maps\n*/\n/* Assign base colors for the PyData theme */\n:root {\n  --pst-teal-50: #f4fbfc;\n  --pst-teal-100: #e9f6f8;\n  --pst-teal-200: #d0ecf1;\n  --pst-teal-300: #abdde6;\n  --pst-teal-400: #3fb1c5;\n  --pst-teal-500: #0a7d91;\n  --pst-teal-600: #085d6c;\n  --pst-teal-700: #064752;\n  --pst-teal-800: #042c33;\n  --pst-teal-900: #021b1f;\n  --pst-violet-50: #f4eefb;\n  --pst-violet-100: #e0c7ff;\n  --pst-violet-200: #d5b4fd;\n  --pst-violet-300: #b780ff;\n  --pst-violet-400: #9c5ffd;\n  --pst-violet-500: #8045e5;\n  --pst-violet-600: #6432bd;\n  --pst-violet-700: #4b258f;\n  --pst-violet-800: #341a61;\n  --pst-violet-900: #1e0e39;\n  --pst-gray-50: #f9f9fa;\n  --pst-gray-100: #f3f4f5;\n  --pst-gray-200: #e5e7ea;\n  --pst-gray-300: #d1d5da;\n  --pst-gray-400: #9ca4af;\n  --pst-gray-500: #677384;\n  --pst-gray-600: #48566b;\n  --pst-gray-700: #29313d;\n  --pst-gray-800: #222832;\n  --pst-gray-900: #14181e;\n  --pst-pink-50: #fcf8fd;\n  --pst-pink-100: #fcf0fa;\n  --pst-pink-200: #f8dff5;\n  --pst-pink-300: #f3c7ee;\n  --pst-pink-400: #e47fd7;\n  --pst-pink-500: #c132af;\n  --pst-pink-600: #912583;\n  --pst-pink-700: #6e1c64;\n  --pst-pink-800: #46123f;\n  --pst-pink-900: #2b0b27;\n  --pst-foundation-white: #ffffff;\n  --pst-foundation-black: #14181e;\n}\n\n/*******************************************************************************\n* write the color rules for each theme (light/dark)\n*/\n/* NOTE:\n * Mixins enable us to reuse the same definitions for the different modes\n * https://sass-lang.com/documentation/at-rules/mixin\n * something inserts a variable into a CSS selector or property name\n * https://sass-lang.com/documentation/interpolation\n */\n/* Defaults to light mode if data-theme is not set */\nhtml:not([data-theme]) {\n  --pst-color-primary: #0a7d91;\n  --pst-color-primary-bg: #d0ecf1;\n  --pst-color-secondary: #8045e5;\n  --pst-color-secondary-bg: #e0c7ff;\n  --pst-color-accent: #c132af;\n  --pst-color-accent-bg: #f8dff5;\n  --pst-color-info: #276be9;\n  --pst-color-info-bg: #dce7fc;\n  --pst-color-warning: #f66a0a;\n  --pst-color-warning-bg: #f8e3d0;\n  --pst-color-success: #00843f;\n  --pst-color-success-bg: #d6ece1;\n  --pst-color-attention: var(--pst-color-warning);\n  --pst-color-attention-bg: var(--pst-color-warning-bg);\n  --pst-color-danger: #d72d47;\n  --pst-color-danger-bg: #f9e1e4;\n  --pst-color-text-base: #222832;\n  --pst-color-text-muted: #48566b;\n  --pst-color-heading-color: #fff;\n  --pst-color-shadow: rgba(0, 0, 0, 0.1);\n  --pst-color-border: #d1d5da;\n  --pst-color-border-muted: rgba(23, 23, 26, 0.2);\n  --pst-color-blockquote-notch: #677384;\n  --pst-color-inline-code: #912583;\n  --pst-color-inline-code-links: #085d6c;\n  --pst-color-target: #f3cf95;\n  --pst-color-table: #14181e;\n  --pst-color-table-row-hover-bg: #b780ff;\n  --pst-color-table-inner-border: #e5e7ea;\n  --pst-color-background: #ffffff;\n  --pst-color-on-background: #ffffff;\n  --pst-color-surface: #f3f4f5;\n  --pst-color-on-surface: #222832;\n}\nhtml:not([data-theme]) {\n  --pst-color-link: var(--pst-color-primary);\n  --pst-color-link-hover: var(--pst-color-secondary);\n  --pst-color-table-outer-border: var(--pst-color-surface);\n  --pst-color-table-heading-bg: var(--pst-color-surface);\n  --pst-color-table-row-zebra-high-bg: var(--pst-color-on-background);\n  --pst-color-table-row-zebra-low-bg: var(--pst-color-surface);\n}\nhtml:not([data-theme]) .only-dark,\nhtml:not([data-theme]) .only-dark ~ figcaption {\n  display: none !important;\n}\n\n/* NOTE: @each {...} is like a for-loop\n * https://sass-lang.com/documentation/at-rules/control/each\n */\nhtml[data-theme=light] {\n  --pst-color-primary: #0a7d91;\n  --pst-color-primary-bg: #d0ecf1;\n  --pst-color-secondary: #8045e5;\n  --pst-color-secondary-bg: #e0c7ff;\n  --pst-color-accent: #c132af;\n  --pst-color-accent-bg: #f8dff5;\n  --pst-color-info: #276be9;\n  --pst-color-info-bg: #dce7fc;\n  --pst-color-warning: #f66a0a;\n  --pst-color-warning-bg: #f8e3d0;\n  --pst-color-success: #00843f;\n  --pst-color-success-bg: #d6ece1;\n  --pst-color-attention: var(--pst-color-warning);\n  --pst-color-attention-bg: var(--pst-color-warning-bg);\n  --pst-color-danger: #d72d47;\n  --pst-color-danger-bg: #f9e1e4;\n  --pst-color-text-base: #222832;\n  --pst-color-text-muted: #48566b;\n  --pst-color-heading-color: #fff;\n  --pst-color-shadow: rgba(0, 0, 0, 0.1);\n  --pst-color-border: #d1d5da;\n  --pst-color-border-muted: rgba(23, 23, 26, 0.2);\n  --pst-color-blockquote-notch: #677384;\n  --pst-color-inline-code: #912583;\n  --pst-color-inline-code-links: #085d6c;\n  --pst-color-target: #f3cf95;\n  --pst-color-table: #14181e;\n  --pst-color-table-row-hover-bg: #b780ff;\n  --pst-color-table-inner-border: #e5e7ea;\n  --pst-color-background: #ffffff;\n  --pst-color-on-background: #ffffff;\n  --pst-color-surface: #f3f4f5;\n  --pst-color-on-surface: #222832;\n  color-scheme: light;\n}\nhtml[data-theme=light] {\n  --pst-color-link: var(--pst-color-primary);\n  --pst-color-link-hover: var(--pst-color-secondary);\n  --pst-color-table-outer-border: var(--pst-color-surface);\n  --pst-color-table-heading-bg: var(--pst-color-surface);\n  --pst-color-table-row-zebra-high-bg: var(--pst-color-on-background);\n  --pst-color-table-row-zebra-low-bg: var(--pst-color-surface);\n}\nhtml[data-theme=light] .only-dark,\nhtml[data-theme=light] .only-dark ~ figcaption {\n  display: none !important;\n}\n\nhtml[data-theme=dark] {\n  --pst-color-primary: #3fb1c5;\n  --pst-color-primary-bg: #042c33;\n  --pst-color-secondary: #9c5ffd;\n  --pst-color-secondary-bg: #341a61;\n  --pst-color-accent: #e47fd7;\n  --pst-color-accent-bg: #46123f;\n  --pst-color-info: #79a3f2;\n  --pst-color-info-bg: #06245d;\n  --pst-color-warning: #ff9245;\n  --pst-color-warning-bg: #652a02;\n  --pst-color-success: #5fb488;\n  --pst-color-success-bg: #002f17;\n  --pst-color-attention: var(--pst-color-warning);\n  --pst-color-attention-bg: var(--pst-color-warning-bg);\n  --pst-color-danger: #e78894;\n  --pst-color-danger-bg: #4e111b;\n  --pst-color-text-base: #ced6dd;\n  --pst-color-text-muted: #9ca4af;\n  --pst-color-heading-color: #14181e;\n  --pst-color-shadow: rgba(0, 0, 0, 0.2);\n  --pst-color-border: #48566b;\n  --pst-color-border-muted: #29313d;\n  --pst-color-blockquote-notch: #9ca4af;\n  --pst-color-inline-code: #f3c7ee;\n  --pst-color-inline-code-links: #3fb1c5;\n  --pst-color-target: #675c04;\n  --pst-color-table: #ffffff;\n  --pst-color-table-row-hover-bg: #6432bd;\n  --pst-color-table-inner-border: #364150;\n  --pst-color-background: #14181e;\n  --pst-color-on-background: #222832;\n  --pst-color-surface: #29313d;\n  --pst-color-on-surface: #f3f4f5;\n  /* Adjust images in dark mode (unless they have class .only-dark or\n   * .dark-light, in which case assume they're already optimized for dark\n   * mode).\n   */\n  /* Give images a light background in dark mode in case they have\n  *  transparency and black text (unless they have class .only-dark or .dark-light, in\n  *  which case assume they're already optimized for dark mode).\n  */\n  color-scheme: dark;\n}\nhtml[data-theme=dark] {\n  --pst-color-link: var(--pst-color-primary);\n  --pst-color-link-hover: var(--pst-color-secondary);\n  --pst-color-table-outer-border: var(--pst-color-surface);\n  --pst-color-table-heading-bg: var(--pst-color-surface);\n  --pst-color-table-row-zebra-high-bg: var(--pst-color-on-background);\n  --pst-color-table-row-zebra-low-bg: var(--pst-color-surface);\n}\nhtml[data-theme=dark] .only-light,\nhtml[data-theme=dark] .only-light ~ figcaption {\n  display: none !important;\n}\nhtml[data-theme=dark] img:not(.only-dark, .dark-light) {\n  filter: brightness(0.8) contrast(1.2);\n}\nhtml[data-theme=dark] .bd-content img:not(.only-dark, .dark-light) {\n  background-color: rgb(255, 255, 255);\n  border-radius: 0.25rem;\n}\nhtml[data-theme=dark] .MathJax_SVG * {\n  fill: var(--pst-color-text-base);\n}\n\n.pst-color-primary {\n  color: var(--pst-color-primary);\n}\n\n.pst-color-secondary {\n  color: var(--pst-color-secondary);\n}\n\n.pst-color-accent {\n  color: var(--pst-color-accent);\n}\n\n.pst-color-info {\n  color: var(--pst-color-info);\n}\n\n.pst-color-warning {\n  color: var(--pst-color-warning);\n}\n\n.pst-color-success {\n  color: var(--pst-color-success);\n}\n\n.pst-color-attention {\n  color: var(--pst-color-attention);\n}\n\n.pst-color-danger {\n  color: var(--pst-color-danger);\n}\n\n.pst-color-text-base {\n  color: var(--pst-color-text-base);\n}\n\n.pst-color-text-muted {\n  color: var(--pst-color-text-muted);\n}\n\n.pst-color-heading-color {\n  color: var(--pst-color-heading-color);\n}\n\n.pst-color-shadow {\n  color: var(--pst-color-shadow);\n}\n\n.pst-color-border {\n  color: var(--pst-color-border);\n}\n\n.pst-color-border-muted {\n  color: var(--pst-color-border-muted);\n}\n\n.pst-color-blockquote-notch {\n  color: var(--pst-color-blockquote-notch);\n}\n\n.pst-color-inline-code {\n  color: var(--pst-color-inline-code);\n}\n\n.pst-color-inline-code-links {\n  color: var(--pst-color-inline-code-links);\n}\n\n.pst-color-target {\n  color: var(--pst-color-target);\n}\n\n.pst-color-table {\n  color: var(--pst-color-table);\n}\n\n.pst-color-table-row-hover {\n  color: var(--pst-color-table-row-hover);\n}\n\n.pst-color-table-inner-border {\n  color: var(--pst-color-table-inner-border);\n}\n\n.pst-color-background {\n  color: var(--pst-color-background);\n}\n\n.pst-color-on-background {\n  color: var(--pst-color-on-background);\n}\n\n.pst-color-surface {\n  color: var(--pst-color-surface);\n}\n\n.pst-color-on-surface {\n  color: var(--pst-color-on-surface);\n}\n\n/**\n * Miscellaneous color functions and mixins\n**/\n/**\n* Function to get items from nested maps\n*/\n/**\n  * Function to check if the color needs converting to a \"color\" type\n  * if it is a string we cannot use other color manipulation functions\n  * It is used to create the sphinx-design colours as these are often interpolated\n  */\n/**\n  * Function to convert the string representation of a color to a color type (hex)\n  */\n/*********************************************\n* SASS Mixins\n*********************************************/\n/**\n * A consistent box shadow style we apply across elements.\n */\n/**\n   * Set background of some cell outputs to white-ish to make sure colors work\n   * This is because many libraries make output that only looks good on white\n   */\nhtml {\n  font-size: var(--pst-font-size-base);\n  scroll-padding-top: calc(var(--pst-header-height) + 1rem);\n}\n\nbody {\n  background-color: var(--pst-color-background);\n  font-family: var(--pst-font-family-base);\n  font-weight: 400;\n  line-height: 1.65;\n  color: var(--pst-color-text-base);\n  min-height: 100vh;\n  display: flex;\n  flex-direction: column;\n}\nbody::-webkit-scrollbar-track {\n  background-color: var(--pst-color-background);\n}\n\np {\n  margin-bottom: 1.15rem;\n  font-size: 1em;\n  /* section header in docstring pages */\n}\np.rubric {\n  border-bottom: 1px solid var(--pst-color-border);\n}\np.centered {\n  text-align: center;\n}\n\na {\n  word-wrap: break-word;\n  color: var(--pst-color-link);\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n}\na:hover {\n  color: var(--pst-color-link-hover);\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n}\na:active {\n  color: var(--pst-color-link);\n}\na:visited {\n  color: var(--pst-color-link);\n}\na:visited:hover {\n  color: var(--pst-color-link-hover);\n}\na.headerlink {\n  color: var(--pst-color-secondary);\n  font-size: 0.8em;\n  padding: 0 4px;\n  margin-left: 0.2em;\n  text-decoration: none;\n  user-select: none;\n}\na.github::before, a.gitlab::before {\n  color: var(--pst-color-text-muted);\n  font: var(--fa-font-brands);\n  margin-right: 0.25rem;\n}\na.github::before {\n  content: var(--pst-icon-github);\n}\na.gitlab::before {\n  content: var(--pst-icon-gitlab);\n}\n\nh6, .h6, h5, .h5, h4, .h4, h3, .h3, h2, .h2, h1, .h1 {\n  margin: 2.75rem 0 1.05rem;\n  font-family: var(--pst-font-family-heading);\n  font-weight: var(--pst-font-weight-heading);\n  line-height: 1.15;\n}\n\nh1, .h1 {\n  margin-top: 0;\n  font-size: var(--pst-font-size-h1);\n  color: var(--pst-heading-color);\n}\n\nh2, .h2 {\n  font-size: var(--pst-font-size-h2);\n  color: var(--pst-heading-color);\n}\n\nh3, .h3 {\n  font-size: var(--pst-font-size-h3);\n  color: var(--pst-heading-color);\n}\n\nh4, .h4 {\n  font-size: var(--pst-font-size-h4);\n  color: var(--pst-heading-color);\n}\n\nh5, .h5 {\n  font-size: var(--pst-font-size-h5);\n  color: var(--pst-color-text-base);\n}\n\nh6, .h6 {\n  font-size: var(--pst-font-size-h6);\n  color: var(--pst-color-text-base);\n}\n\nsmall, .small,\n.text_small {\n  font-size: var(--pst-font-size-milli);\n}\n\nhr {\n  border: 0;\n  border-top: 1px solid var(--pst-color-border);\n}\n\npre,\ncode,\nkbd,\nsamp {\n  font-family: var(--pst-font-family-monospace);\n}\n\nkbd {\n  background-color: var(--pst-color-on-background);\n  color: var(--pst-color-text-muted);\n}\nkbd:not(.compound) {\n  border: 1px solid var(--pst-color-border);\n  margin: 0 0.1rem;\n  padding: 0.1rem 0.4rem;\n  box-shadow: 1px 1px 1px var(--pst-color-shadow);\n}\n\ncode {\n  color: var(--pst-color-inline-code);\n}\n\npre {\n  margin: 1.5em 0;\n  padding: 1rem;\n  background-color: var(--pst-color-surface);\n  color: var(--pst-color-text-base);\n  line-height: 1.2em;\n  border: 1px solid var(--pst-color-border);\n  border-radius: 0.25rem;\n}\npre .linenos {\n  opacity: 0.8;\n  padding-right: 10px;\n}\n\n#pst-back-to-top {\n  z-index: 1080;\n  position: fixed;\n  display: none;\n  top: 90vh;\n  left: 50vw;\n  transform: translate(-50%);\n  color: var(--pst-color-secondary-text);\n  background-color: var(--pst-color-secondary);\n  border: none;\n}\n#pst-back-to-top .fa-arrow-up {\n  margin-inline-end: 0.5em;\n}\n#pst-back-to-top:hover {\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n  color: var(--pst-color-link-hover);\n  text-decoration-thickness: 1px;\n  background-color: var(--pst-color-secondary-highlight);\n  color: var(--pst-color-secondary-highlight-text);\n}\n#pst-back-to-top:focus-visible {\n  box-shadow: none;\n  outline: var(--pst-color-accent) solid 0.1875rem;\n  outline-color: var(--pst-color-secondary);\n  outline-offset: 0.1875rem;\n}\n\n:focus-visible {\n  outline: var(--pst-color-accent) solid 0.1875rem;\n  box-shadow: none;\n}\n\n/***\n * Rules for the UX/UI of skip navigation link btn.\n * It's only visible to people\n * navigating with keyboard for accessibility purposes\n * ref: https://www.youtube.com/watch?v=VUR0I5mqq7I\n ***/\n.skip-link {\n  position: fixed;\n  top: 0;\n  left: 0;\n  right: 0;\n  text-align: center;\n  background-color: var(--pst-color-warning);\n  padding: 0.5rem;\n  z-index: 1055;\n  border-bottom: 1px solid var(--pst-color-border);\n  transform: translateY(-100%);\n  transition: transform 150ms ease-in-out;\n}\n.skip-link:focus-within {\n  transform: translateY(0%);\n}\n.skip-link a {\n  color: var(--pst-color-warning-text) !important;\n}\n.skip-link a:focus-visible {\n  outline-color: #14181e;\n}\n\n.bd-container {\n  flex-grow: 1;\n  display: flex;\n  justify-content: center;\n}\n.bd-container .bd-container__inner {\n  display: flex;\n}\n\n.bd-page-width {\n  width: 100%;\n}\n@media (min-width: 960px) {\n  .bd-page-width {\n    max-width: 88rem;\n  }\n}\n\n.pst-async-banner-revealer {\n  height: 0;\n  overflow: hidden;\n  transition: height 300ms ease-in-out;\n}\n@media (prefers-reduced-motion) {\n  .pst-async-banner-revealer {\n    transition: none;\n  }\n}\n\n#bd-header-version-warning,\n.bd-header-announcement {\n  min-height: 3rem;\n  width: 100%;\n  display: flex;\n  position: relative;\n  align-items: center;\n  justify-content: center;\n  text-align: center;\n  padding: 0.5rem 12.5%;\n}\n@media (max-width: 959.98px) {\n  #bd-header-version-warning,\n  .bd-header-announcement {\n    padding: 0.5rem 2%;\n  }\n}\n#bd-header-version-warning p,\n.bd-header-announcement p {\n  font-weight: bold;\n  margin: 0;\n}\n#bd-header-version-warning a,\n.bd-header-announcement a {\n  color: var(--pst-color-inline-code-links);\n}\n#bd-header-version-warning .pst-button-link-to-stable-version,\n.bd-header-announcement .pst-button-link-to-stable-version {\n  box-shadow: 0 0.2rem 0.5rem var(--pst-color-shadow), 0 0 0.0625rem var(--pst-color-shadow) !important;\n  background-color: var(--pst-color-danger);\n  border-color: var(--pst-color-danger);\n  color: var(--pst-color-danger-text);\n  border-radius: 0.25rem;\n}\n#bd-header-version-warning .pst-button-link-to-stable-version:hover,\n.bd-header-announcement .pst-button-link-to-stable-version:hover {\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n  color: var(--pst-color-link-hover);\n  text-decoration-thickness: 1px;\n  background-color: var(--pst-color-danger-highlight);\n  border-color: var(--pst-color-danger-highlight);\n  color: var(--pst-color-danger-highlight-text);\n}\n#bd-header-version-warning .pst-button-link-to-stable-version:focus-visible,\n.bd-header-announcement .pst-button-link-to-stable-version:focus-visible {\n  outline: 0.1875rem solid var(--pst-color-danger);\n  outline-offset: 0.1875rem;\n}\n\n.bd-header-announcement {\n  background-color: var(--pst-color-secondary-bg);\n}\n\n#bd-header-version-warning {\n  background-color: var(--pst-color-danger-bg);\n}\n\n/**\n * Main content area\n */\n.bd-main {\n  flex-grow: 1;\n  flex-direction: column;\n  display: flex;\n  min-width: 0;\n}\n.bd-main .bd-content {\n  display: flex;\n  justify-content: center;\n  height: 100%;\n}\n.bd-main .bd-content .bd-article-container {\n  justify-content: start;\n  display: flex;\n  flex-direction: column;\n  width: 100%;\n  max-width: 60em;\n  overflow-x: auto;\n  padding: 1rem;\n}\n@media (min-width: 1200px) {\n  .bd-main .bd-content .bd-article-container .bd-article {\n    padding-top: 1.5rem;\n    padding-left: 2rem;\n  }\n}\n\n.bd-footer {\n  width: 100%;\n  border-top: 1px solid var(--pst-color-border);\n}\n.bd-footer .bd-footer__inner {\n  display: flex;\n  flex-grow: 1;\n  padding: 1rem;\n  margin: auto;\n}\n.bd-footer .footer-items__start,\n.bd-footer .footer-items__center,\n.bd-footer .footer-items__end {\n  display: flex;\n  flex-direction: column;\n  gap: 0.5rem;\n  justify-content: center;\n  flex-grow: 1;\n}\n.bd-footer .footer-items__center {\n  text-align: center;\n}\n.bd-footer .footer-items__end {\n  text-align: end;\n}\n.bd-footer .footer-item p {\n  margin-bottom: 0;\n}\n\n.bd-footer-article {\n  margin-top: auto;\n}\n.bd-footer-article .footer-article-items {\n  display: flex;\n  flex-direction: column;\n}\n\n.bd-footer-content .footer-content-items {\n  display: flex;\n  flex-direction: column;\n  margin-top: auto;\n}\n\n/**\n * Header at the top of the page\n * It includes the announcement bar and the navigation bar.\n */\n.bd-header {\n  position: sticky;\n  top: 0;\n  z-index: 1030;\n  background-color: var(--pst-color-on-background) !important;\n  box-shadow: 0 0.125rem 0.25rem 0 var(--pst-color-shadow);\n  width: 100%;\n  padding: 0;\n  max-width: 100vw;\n  justify-content: center;\n}\n.bd-header .bd-header__inner {\n  display: flex;\n  align-items: center;\n  height: fit-content;\n  padding-left: 1rem;\n  padding-right: 1rem;\n}\n.bd-header :focus-visible {\n  border-radius: 0.125rem;\n}\n.bd-header .navbar-item {\n  height: var(--pst-header-height);\n  max-height: var(--pst-header-height);\n  display: flex;\n  align-items: center;\n}\n.bd-header .navbar-header-items {\n  display: none;\n  flex-shrink: 1;\n}\n@media (min-width: 960px) {\n  .bd-header .navbar-header-items {\n    display: inherit;\n    flex-grow: 1;\n    padding: 0 0 0 0.5rem;\n  }\n}\n.bd-header .navbar-header-items__end,\n.bd-header .navbar-header-items__center,\n.bd-header .navbar-header-items__start {\n  display: flex;\n  align-items: center;\n  flex-flow: wrap;\n  row-gap: 0;\n}\n.bd-header .navbar-header-items__end,\n.bd-header .navbar-header-items__center {\n  column-gap: 1.12rem;\n}\n.bd-header .navbar-header-items__start {\n  flex-shrink: 0;\n  margin-right: auto;\n  gap: 0.5rem;\n}\n.bd-header .navbar-header-items__end {\n  justify-content: end;\n}\n.bd-header ul.navbar-nav {\n  display: flex;\n}\n@media (min-width: 960px) {\n  .bd-header ul.navbar-nav {\n    align-items: baseline;\n  }\n}\n.bd-header ul.navbar-nav > li.nav-item {\n  margin-inline: 2px;\n}\n.bd-header ul.navbar-nav > li.nav-item > .nav-link {\n  color: var(--pst-color-text-muted);\n  position: relative;\n  padding-inline: 6px;\n}\n.bd-header ul.navbar-nav > li.nav-item > .nav-link::before {\n  content: \"\";\n  display: block;\n  position: absolute;\n  inset: 0;\n  background-color: transparent;\n  bottom: calc(-1 * max(3px, .1875rem, .12em));\n  margin: max(3px, .1875rem, .12em) 0;\n}\n.bd-header ul.navbar-nav > li.nav-item > .nav-link:hover {\n  color: var(--pst-color-secondary);\n  text-decoration: none;\n}\n.bd-header ul.navbar-nav > li.nav-item > .nav-link:hover::before {\n  border-bottom: max(3px, .1875rem, .12em) solid var(--pst-color-secondary);\n}\n.bd-header ul.navbar-nav > li.nav-item > .nav-link:focus-visible {\n  box-shadow: none;\n  outline: 3px solid var(--pst-color-accent);\n  outline-offset: 3px;\n}\n.bd-header ul.navbar-nav > li.nav-item.current > .nav-link {\n  color: var(--pst-color-primary);\n}\n.bd-header ul.navbar-nav > li.nav-item.current > .nav-link::before {\n  border-bottom: 3px solid var(--pst-color-primary);\n}\n.bd-header ul.navbar-nav > li.nav-item.dropdown {\n  margin-inline: 4px;\n}\n.bd-header ul.navbar-nav > li.nav-item.dropdown button {\n  padding-inline: 8px;\n}\n.bd-header ul.navbar-nav > li.nav-item.dropdown > .dropdown-toggle {\n  border-radius: 0.125rem;\n  color: var(--pst-color-text-muted);\n}\n.bd-header ul.navbar-nav > li.nav-item.dropdown > .dropdown-toggle:focus-visible {\n  box-shadow: 0 0 0 0.1875rem var(--pst-color-accent);\n}\n.bd-header ul.navbar-nav > li.nav-item.dropdown > .dropdown-toggle:hover {\n  text-decoration: none;\n  box-shadow: 0 0 0 0.1875rem var(--pst-color-link-hover);\n  color: var(--pst-color-text-base);\n}\n.bd-header ul.navbar-nav li a.nav-link.dropdown-item {\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n}\n.bd-header ul.navbar-nav li a.nav-link.dropdown-item:hover {\n  color: var(--pst-color-link-hover);\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n}\n.bd-header ul.navbar-nav .dropdown button {\n  display: unset;\n  border: none;\n}\n.bd-header ul.navbar-nav .dropdown button:hover {\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n  color: var(--pst-color-link-hover);\n}\n.bd-header ul.navbar-nav .dropdown .dropdown-menu {\n  z-index: 1070;\n  border: 1px solid var(--pst-color-border);\n  box-shadow: 0 0 0.3rem 0.1rem var(--pst-color-shadow);\n  background-color: var(--pst-color-on-background);\n  padding: 0.5rem 0;\n  margin: 0.5rem 0;\n  min-width: 20rem;\n}\n.bd-header ul.navbar-nav .dropdown .dropdown-menu .dropdown-item {\n  padding: 0.25rem 1.5rem;\n}\n.bd-header ul.navbar-nav .dropdown .dropdown-menu .dropdown-item:focus:not(:hover, :active) {\n  background-color: inherit;\n}\n.bd-header ul.navbar-nav .dropdown .dropdown-menu .dropdown-item:focus-visible {\n  z-index: 10;\n}\n.bd-header ul.navbar-nav .dropdown .dropdown-menu:not(.show) {\n  display: none;\n}\n.bd-header button.sidebar-toggle {\n  font-size: var(--pst-font-size-icon);\n  color: var(--pst-color-muted);\n  margin-bottom: 0;\n  background-color: inherit;\n  padding: 0.5rem;\n}\n.bd-header button.primary-toggle {\n  margin-right: 1rem;\n}\n@media (min-width: 960px) {\n  .bd-header button.primary-toggle {\n    display: none;\n  }\n}\n.bd-header button.secondary-toggle {\n  margin-left: 1rem;\n}\n@media (min-width: 1200px) {\n  .bd-header button.secondary-toggle {\n    display: none;\n  }\n}\n\n@media (min-width: 960px) {\n  .navbar-center-items .navbar-item {\n    display: inline-block;\n  }\n}\n.nav-link {\n  transition: none;\n}\n.nav-link:hover {\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n  color: var(--pst-color-link-hover);\n}\n.nav-link.nav-external::after {\n  font: var(--fa-font-solid);\n  content: var(--pst-icon-external-link);\n  font-size: 0.75em;\n  margin-left: 0.3em;\n}\n\n.bd-navbar-elements li.nav-item i {\n  font-size: 0.7rem;\n  padding-left: 2px;\n  vertical-align: middle;\n}\n\n.navbar-persistent--mobile {\n  margin-left: auto;\n}\n@media (min-width: 960px) {\n  .navbar-persistent--mobile {\n    display: none;\n  }\n}\n\n.navbar-persistent--container {\n  display: none;\n}\n@media (min-width: 960px) {\n  .navbar-persistent--container {\n    display: flex;\n  }\n}\n\n.header-article__inner {\n  padding: 0 0.5rem;\n}\n.header-article__inner .header-article-item {\n  min-height: var(--pst-header-article-height);\n}\n.header-article__inner .header-article-items__end {\n  margin-left: auto;\n}\n\n/**\n * The primary sidebar on the left.\n * e.g., between-pages navigation.\n */\n.bd-sidebar-primary {\n  display: flex;\n  flex-direction: column;\n  gap: 1rem;\n  max-height: calc(100vh - var(--pst-header-height));\n  position: sticky;\n  top: var(--pst-header-height);\n  flex: 0 0 auto;\n  width: 25%;\n  padding: 2rem 1rem 1rem 1rem;\n  border-right: 1px solid var(--pst-color-border);\n  background-color: var(--pst-color-background);\n  overflow-y: auto;\n  font-size: var(--pst-sidebar-font-size-mobile);\n}\n@media (min-width: 960px) {\n  .bd-sidebar-primary {\n    font-size: var(--pst-sidebar-font-size);\n  }\n}\n.bd-sidebar-primary :focus-visible {\n  border-radius: 0.125rem;\n}\n.bd-sidebar-primary .nav-link {\n  font-size: var(--pst-sidebar-font-size-mobile);\n}\n.bd-sidebar-primary.no-sidebar {\n  border-right: 0;\n}\n@media (min-width: 960px) {\n  .bd-sidebar-primary.hide-on-wide {\n    display: none;\n  }\n}\n.bd-sidebar-primary h1, .bd-sidebar-primary .h1,\n.bd-sidebar-primary h2,\n.bd-sidebar-primary .h2,\n.bd-sidebar-primary h3,\n.bd-sidebar-primary .h3,\n.bd-sidebar-primary h4,\n.bd-sidebar-primary .h4 {\n  color: var(--pst-color-text-base);\n}\n.bd-sidebar-primary .sidebar-primary-items__start .sidebar-primary-item,\n.bd-sidebar-primary .sidebar-primary-items__end .sidebar-primary-item {\n  padding: 0.5rem 0;\n}\n.bd-sidebar-primary .sidebar-header-items {\n  display: flex;\n  flex-direction: column;\n}\n.bd-sidebar-primary .sidebar-header-items .sidebar-header-items__title {\n  font-weight: var(--pst-sidebar-header-font-weight);\n  font-size: var(--pst-sidebar-header-font-size);\n  color: var(--pst-color-text-base);\n  margin-bottom: 0.5rem;\n}\n.bd-sidebar-primary .sidebar-header-items .bd-navbar-elements .nav-link:focus-visible {\n  box-shadow: none;\n  outline: var(--pst-color-accent) solid 0.1875rem;\n  outline-offset: 0.1875rem;\n}\n.bd-sidebar-primary .sidebar-header-items .sidebar-header-items__center {\n  display: flex;\n  flex-direction: column;\n}\n.bd-sidebar-primary .sidebar-header-items .sidebar-header-items__end {\n  display: flex;\n  align-items: center;\n  gap: 1rem;\n}\n@media (min-width: 960px) {\n  .bd-sidebar-primary .sidebar-header-items {\n    display: none;\n  }\n}\n.bd-sidebar-primary .sidebar-primary-items__start {\n  border-top: 1px solid var(--pst-color-border);\n}\n@media (min-width: 960px) {\n  .bd-sidebar-primary .sidebar-primary-items__start {\n    border-top: none;\n  }\n}\n.bd-sidebar-primary .sidebar-primary-items__end {\n  margin-top: auto;\n  margin-bottom: 1em;\n}\n.bd-sidebar-primary .list-caption {\n  list-style: none;\n  padding-left: 0;\n}\n.bd-sidebar-primary .list-caption li.toctree-l0.has-children > details > summary {\n  position: relative;\n  height: auto;\n  width: auto;\n  display: flex;\n  justify-content: space-between;\n  align-items: baseline;\n}\n.bd-sidebar-primary .list-caption li.toctree-l0.has-children > details > summary .toctree-toggle {\n  flex: 0 0 auto;\n}\n.bd-sidebar-primary .list-caption li.toctree-l0.has-children > details > summary .toctree-toggle .fa-chevron-down {\n  font-size: 1rem;\n}\n.bd-sidebar-primary li.has-children {\n  position: relative;\n}\n.bd-sidebar-primary li.has-children > .reference,\n.bd-sidebar-primary li.has-children .caption {\n  margin-right: calc(30px + 0.1875rem);\n  padding-top: 0.25rem;\n}\n.bd-sidebar-primary li.has-children > details > summary {\n  list-style: none;\n}\n.bd-sidebar-primary li.has-children > details > summary::-webkit-details-marker {\n  display: none;\n}\n.bd-sidebar-primary li.has-children > details > summary:focus-visible {\n  outline: none;\n}\n.bd-sidebar-primary li.has-children > details > summary:focus-visible > .toctree-toggle {\n  outline: var(--pst-color-accent) solid 0.1875rem;\n  outline-offset: -0.1875rem;\n}\n.bd-sidebar-primary li.has-children > details > summary .toctree-toggle {\n  cursor: pointer;\n  position: absolute;\n  top: 0;\n  right: 0;\n  width: 30px;\n  height: 30px;\n  display: inline-flex;\n  justify-content: center;\n  align-items: center;\n}\n.bd-sidebar-primary li.has-children > details > summary .toctree-toggle .fa-chevron-down {\n  font-size: 0.75rem;\n}\n.bd-sidebar-primary li.has-children > details[open] > summary .fa-chevron-down {\n  transform: rotate(180deg);\n}\n\n/* Between-page links and captions */\nnav.bd-links {\n  margin-right: -1rem;\n}\n@media (min-width: 960px) {\n  nav.bd-links {\n    display: block;\n  }\n}\nnav.bd-links ul {\n  display: block;\n  list-style: none;\n}\nnav.bd-links ul ul {\n  padding: 0 0 0 1rem;\n}\nnav.bd-links li > a {\n  display: block;\n  padding: 0.25rem 0.65rem;\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n  box-shadow: none;\n  margin-right: 0.1875rem;\n}\nnav.bd-links li > a:hover {\n  text-decoration: underline;\n  background-color: transparent;\n  color: var(--pst-color-link-hover);\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n}\nnav.bd-links li > a:active {\n  color: var(--pst-color-link-hover);\n}\nnav.bd-links li > a:focus-visible {\n  box-shadow: 0 0 0 0.1875rem var(--pst-color-accent);\n  outline: none;\n  z-index: 10;\n}\nnav.bd-links li > a.reference.external::after {\n  font: var(--fa-font-solid);\n  content: var(--pst-icon-external-link);\n  font-size: 0.75em;\n  margin-left: 0.3em;\n}\nnav.bd-links .current > a {\n  font-weight: 600;\n  color: var(--pst-color-primary);\n  box-shadow: inset max(3px, .1875rem, .12em) 0 0 var(--pst-color-primary);\n  background-color: transparent;\n}\nnav.bd-links .current > a:focus-visible {\n  box-shadow: inset max(3px, .1875rem, .12em) 0 0 var(--pst-color-primary), 0 0 0 0.1875rem var(--pst-color-accent);\n  outline: none;\n}\nnav.bd-links p.bd-links__title {\n  font-size: var(--pst-sidebar-header-font-size);\n  font-weight: var(--pst-sidebar-header-font-weight);\n  margin-bottom: 0.5rem;\n}\nnav.bd-links p.caption {\n  font-weight: var(--pst-sidebar-header-font-weight);\n  position: relative;\n  margin-top: 1.25rem;\n  margin-bottom: 0.5rem;\n  color: var(--pst-color-text-base);\n  font-size: var(--pst-sidebar-font-size-mobile);\n}\nnav.bd-links p.caption:first-child {\n  margin-top: 0;\n}\n@media (min-width: 960px) {\n  nav.bd-links p.caption {\n    font-size: var(--pst-sidebar-font-size);\n  }\n}\n\n/**\n * Secondary sidebar on the right.\n * e.g., in-page table of contents.\n */\n.bd-sidebar-secondary {\n  display: flex;\n  order: 2;\n  flex-shrink: 0;\n  flex-direction: column;\n  position: sticky;\n  top: var(--pst-header-height);\n  max-height: calc(100vh - var(--pst-header-height));\n  padding: 2rem 1rem 1rem;\n  width: var(--pst-sidebar-secondary);\n  font-size: var(--pst-sidebar-font-size-mobile);\n  background-color: var(--pst-color-background);\n  overflow-y: auto;\n}\n@media (min-width: 1200px) {\n  .bd-sidebar-secondary {\n    font-size: var(--pst-sidebar-font-size);\n  }\n}\n\n.sidebar-secondary-item {\n  padding: 0.5rem;\n}\n@media (min-width: 1200px) {\n  .sidebar-secondary-item {\n    border-left: 1px solid var(--pst-color-border);\n    padding-left: 1rem;\n  }\n}\n.sidebar-secondary-item i {\n  padding-right: 0.5rem;\n}\n\n/*******************************************************************************\n* Rules for the UX/UI of sidebar sliding drawers on mobile\n* Note that this sheet controls styles across many parts of the theme\n* It is aggregated into this one sheet instead of being split across\n* components in order to keep it easier to debug in one place.\n* It is broken up into major sections below.\n*/\n/*******************************************************************************\n* Sidebar drawer behavior\n*/\n/**\n * NOTE: We use this mixin to define the toggle behavior on narrow screens,\n * And the wide-screen behavior of the sections is defined in their own section\n * .scss files.\n */\n.bd-sidebar::backdrop {\n  background-color: black;\n  opacity: 0.5;\n}\n\n@media (max-width: 959.98px) {\n  .bd-sidebar-primary {\n    position: fixed;\n    top: 0;\n    z-index: 1055;\n    height: 100vh;\n    max-height: 100vh;\n    width: 75%;\n    flex-grow: 0.75;\n    max-width: 350px;\n    transition: visibility 200ms ease-out, margin 200ms ease-out;\n    visibility: hidden;\n    border: 0;\n    margin-left: -75%;\n    left: 0;\n  }\n}\n.bd-sidebar-primary[open] {\n  margin-left: 0;\n  visibility: visible;\n}\n\n@media (max-width: 1199.98px) {\n  .bd-sidebar-secondary {\n    position: fixed;\n    top: 0;\n    z-index: 1055;\n    height: 100vh;\n    max-height: 100vh;\n    width: 75%;\n    flex-grow: 0.75;\n    max-width: 350px;\n    transition: visibility 200ms ease-out, margin 200ms ease-out;\n    visibility: hidden;\n    border: 0;\n    margin-right: -75%;\n    right: 0;\n  }\n}\n.bd-sidebar-secondary[open] {\n  margin-right: 0;\n  visibility: visible;\n}\n\n/**\n * Breadcrumbs for parent pages meant for the article header\n */\nul.bd-breadcrumbs {\n  list-style: none;\n  padding-left: 0;\n  display: flex;\n  flex-wrap: wrap;\n  font-size: 0.8rem;\n}\nul.bd-breadcrumbs li.breadcrumb-item {\n  display: flex;\n  align-items: center;\n  white-space: nowrap;\n  overflow-x: hidden;\n  font-weight: bold;\n}\nul.bd-breadcrumbs li.breadcrumb-item a,\nul.bd-breadcrumbs li.breadcrumb-item .ellipsis {\n  overflow-x: hidden;\n  text-overflow: ellipsis;\n  margin: 0.1875rem;\n}\nul.bd-breadcrumbs li.breadcrumb-item a {\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n}\nul.bd-breadcrumbs li.breadcrumb-item a:hover {\n  color: var(--pst-color-link-hover);\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n}\nul.bd-breadcrumbs li.breadcrumb-item:not(.breadcrumb-home)::before {\n  font: var(--fa-font-solid);\n  font-size: 0.8rem;\n  content: var(--pst-breadcrumb-divider);\n  color: var(--pst-color-text-muted);\n  padding: 0 0.5rem;\n}\n\n/**\n * Icon links in the navbar\n */\nhtml .pst-navbar-icon {\n  box-sizing: border-box;\n  min-width: 24px;\n  min-height: 24px;\n  color: var(--pst-color-text-muted);\n  position: relative;\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  border-radius: 0;\n  border: none;\n  font-size: 1rem;\n  line-height: 1.65;\n  padding: 0.25rem 0;\n  height: 2.15rem;\n}\nhtml .pst-navbar-icon::before {\n  content: \"\";\n  display: block;\n  position: absolute;\n  inset: 0;\n  background-color: transparent;\n  bottom: calc(-1 * max(3px, .1875rem, .12em));\n  margin: max(3px, .1875rem, .12em) 0;\n}\nhtml .pst-navbar-icon:hover {\n  color: var(--pst-color-secondary);\n  text-decoration: none;\n}\nhtml .pst-navbar-icon:hover::before {\n  border-bottom: max(3px, .1875rem, .12em) solid var(--pst-color-secondary);\n}\nhtml .pst-navbar-icon:focus-visible {\n  box-shadow: none;\n  outline: 3px solid var(--pst-color-accent);\n  outline-offset: 3px;\n}\n\nul.navbar-icon-links {\n  display: flex;\n  flex-flow: row wrap;\n  column-gap: 1.12rem;\n  justify-content: space-evenly;\n  align-items: center;\n  padding-left: 0;\n  margin-bottom: 0;\n  list-style: none;\n}\nul.navbar-icon-links i {\n  /* Social media buttons hard-code the brand color */\n}\nul.navbar-icon-links i.fa-brands, ul.navbar-icon-links i.fa-regular, ul.navbar-icon-links i.fa-solid {\n  vertical-align: middle;\n  font-style: normal;\n  font-size: var(--pst-font-size-icon);\n}\nul.navbar-icon-links i.fa-square-twitter::before {\n  color: #55acee;\n}\nul.navbar-icon-links i.fa-square-gitlab::before {\n  color: #548;\n}\nul.navbar-icon-links i.fa-bitbucket::before {\n  color: #0052cc;\n}\nul.navbar-icon-links img.icon-link-image {\n  height: 1.5em;\n  border-radius: 0.2rem;\n}\nul.navbar-icon-links .fa-pydata {\n  stroke: var(--pst-color-background);\n  stroke-linejoin: round;\n  stroke-width: 0.35;\n}\n\n/**\n * Logo in the navbar\n */\n.navbar-brand {\n  position: relative;\n  height: var(--pst-header-height);\n  max-height: var(--pst-header-height);\n  padding: 0.5rem 0;\n  width: auto;\n  margin: 0;\n  display: flex;\n  flex-shrink: 0;\n  align-items: center;\n  gap: 0.5rem;\n}\n.navbar-brand p {\n  color: var(--pst-color-text-base);\n  margin-bottom: 0;\n}\n.navbar-brand img {\n  max-width: 100%;\n  height: 100%;\n  width: auto;\n}\n.navbar-brand:hover, .navbar-brand:visited:hover {\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n  color: var(--pst-color-link-hover);\n  color: var(--pst-color-text-base);\n}\n\n/**\n * Navigation links in the navbar and icon links\n */\nul.navbar-nav ul {\n  padding: 0 0 0 1rem;\n}\nul.navbar-nav li {\n  display: flex;\n  flex-direction: column;\n}\nul.navbar-nav li a {\n  display: flex;\n  align-items: center;\n  height: 100%;\n  padding-top: 0.25rem;\n  padding-bottom: 0.25rem;\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n}\nul.navbar-nav li a:hover {\n  color: var(--pst-color-link-hover);\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n}\n\n/**\n * The list of in-page TOC links\n */\n.page-toc .section-nav {\n  padding-left: 0;\n  border-bottom: none;\n}\n.page-toc .section-nav ul {\n  padding-left: 1rem;\n}\n.page-toc .nav-link {\n  font-size: var(--pst-sidebar-font-size-mobile);\n}\n@media (min-width: 1200px) {\n  .page-toc .nav-link {\n    font-size: var(--pst-sidebar-font-size);\n  }\n}\n.page-toc .onthispage {\n  color: var(--pst-color-text-base);\n  font-weight: var(--pst-sidebar-header-font-weight);\n  margin-bottom: 0.5rem;\n}\n\n/**\n* Previous / Next navigation buttons\n**/\n.prev-next-area {\n  width: 100%;\n}\n.prev-next-area p {\n  color: var(--pst-color-text-muted);\n  margin: 0 0.3em;\n  line-height: 1.3em;\n}\n.prev-next-area i {\n  font-size: 1.2em;\n}\n.prev-next-area a {\n  display: flex;\n  align-items: center;\n  border: none;\n  padding: 10px;\n  max-width: 45%;\n  overflow-x: hidden;\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n}\n.prev-next-area a p.prev-next-title {\n  word-wrap: break-word;\n  color: var(--pst-color-link);\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n  font-weight: var(--pst-admonition-font-weight-heading);\n  font-size: 1.1em;\n}\n.prev-next-area a p.prev-next-title:hover {\n  color: var(--pst-color-link-hover);\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n}\n.prev-next-area a p.prev-next-title:active {\n  color: var(--pst-color-link);\n}\n.prev-next-area a p.prev-next-title:visited {\n  color: var(--pst-color-link);\n}\n.prev-next-area a p.prev-next-title:visited:hover {\n  color: var(--pst-color-link-hover);\n}\n.prev-next-area a:hover p.prev-next-title, .prev-next-area a:visited:hover p.prev-next-title {\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n  color: var(--pst-color-link-hover);\n}\n.prev-next-area a .prev-next-info {\n  flex-direction: column;\n  margin: 0 0.5em;\n}\n.prev-next-area a .prev-next-info .prev-next-subtitle {\n  text-transform: capitalize;\n}\n.prev-next-area a.left-prev {\n  float: left;\n}\n.prev-next-area a.right-next {\n  float: right;\n}\n.prev-next-area a.right-next div.prev-next-info {\n  text-align: right;\n}\n\n/**\n * Search field\n **/\n.bd-search {\n  position: relative;\n  padding-left: 0.5rem;\n  gap: 0.5rem;\n  background-color: var(--pst-color-background);\n  border-radius: 0.25rem;\n  border: 1px solid var(--pst-color-border);\n  color: var(--pst-color-text-base);\n}\n.bd-search:active {\n  background-color: var(--pst-color-background);\n  color: var(--pst-color-text-muted);\n}\n.bd-search:focus-within {\n  box-shadow: 0 0 0 0.1875rem var(--pst-color-accent);\n}\n.bd-search:focus-within input:focus {\n  box-shadow: none;\n}\n.bd-search .icon {\n  position: absolute;\n  color: var(--pst-color-border);\n  left: 25px;\n}\n.bd-search .fa-solid.fa-magnifying-glass {\n  position: absolute;\n  left: calc((2.5rem - 0.7em) / 2);\n  color: var(--pst-color-text-muted);\n}\n.bd-search input.form-control {\n  background-color: var(--pst-color-background);\n  color: var(--pst-color-text-base);\n  border: none;\n}\n.bd-search input.form-control::placeholder {\n  color: var(--pst-color-text-muted);\n}\n.bd-search input.form-control::-webkit-search-cancel-button, .bd-search input.form-control::-webkit-search-decoration {\n  appearance: none;\n}\n.bd-search input.form-control:focus, .bd-search input.form-control:focus-visible {\n  color: var(--pst-color-text-muted);\n}\n.bd-search .search-button__kbd-shortcut {\n  display: none;\n  margin-inline-end: 0.5rem;\n  color: var(--pst-color-border);\n}\n@media (min-width: 720px) {\n  .bd-search .search-button__kbd-shortcut {\n    display: flex;\n  }\n}\n\n/**\n * Search button - located in the navbar\n */\n.search-button i {\n  font-size: 1.3rem;\n}\n\n/**\n * The search modal <dialog>\n */\n#pst-search-dialog {\n  display: none;\n}\n#pst-search-dialog[open] {\n  display: flex;\n  position: fixed;\n  z-index: 1055;\n  top: 30%;\n  left: 50%;\n  transform: translate(-50%, -50%);\n  right: 1rem;\n  margin-top: 0.5rem;\n  width: 90%;\n  max-width: 800px;\n  background-color: transparent;\n  padding: 0.1875rem;\n  border: none;\n}\n#pst-search-dialog[open]::backdrop {\n  background-color: black;\n  opacity: 0.5;\n}\n#pst-search-dialog[open] form.bd-search {\n  flex-grow: 1;\n}\n#pst-search-dialog[open] form.bd-search svg,\n#pst-search-dialog[open] form.bd-search input {\n  font-size: var(--pst-font-size-icon);\n}\n\n/**\n * The search button component that looks like a field.\n * Lives at components/search-button-field.html\n */\n.search-button-field {\n  display: inline-flex;\n  align-items: center;\n  border: var(--pst-color-border) solid 1px;\n  border-radius: 1.5em;\n  color: var(--pst-color-text-muted);\n  padding: 0.5em;\n  background-color: var(--pst-color-surface);\n}\n.search-button-field:hover {\n  box-shadow: 0 0 0 0.1875rem var(--pst-color-link-hover);\n}\n.search-button-field:focus-visible {\n  border-radius: 1.5em;\n}\n.search-button-field .search-button__default-text {\n  font-size: var(--bs-nav-link-font-size);\n  font-weight: var(--bs-nav-link-font-weight);\n  margin-right: 0.5em;\n  margin-left: 0.5em;\n}\n.search-button-field .kbd-shortcut__modifier {\n  font-size: 0.75em;\n}\n.search-button-field > * {\n  align-items: center;\n}\n.search-button-field > :not(svg) {\n  display: none;\n}\n@media (min-width: 960px) {\n  .search-button-field > :not(svg) {\n    display: flex;\n  }\n}\n\n/**\n * The 'Hide Search Matches' button.\n * This only shows up when a person lands on a page after clicking a search result.\n * Clicking it removes the highlighting of the search term from the page.\n * We want it to behave like a button.\n */\ndiv#searchbox p.highlight-link {\n  margin: 1rem 0;\n  width: fit-content;\n  box-shadow: 0 0.2rem 0.5rem var(--pst-color-shadow), 0 0 0.0625rem var(--pst-color-shadow) !important;\n}\n@media (min-width: 1200px) {\n  div#searchbox p.highlight-link {\n    margin-left: 2rem;\n  }\n}\ndiv#searchbox p.highlight-link a {\n  border-radius: 0.25rem;\n  font-size: 1.25rem;\n  padding: 0.75rem;\n  background-color: var(--pst-color-primary);\n  color: var(--pst-color-primary-text);\n  text-decoration: none;\n  transition: box-shadow 0.25s ease-out;\n}\ndiv#searchbox p.highlight-link a:hover {\n  box-shadow: inset 0 0 50px 50px rgba(0, 0, 0, 0.25);\n}\ndiv#searchbox p.highlight-link a::before {\n  content: var(--pst-icon-search-minus);\n  color: unset;\n  font: var(--fa-font-solid);\n  margin-right: 0.5rem;\n}\n\n/**\n * Light/dark theme switcher\n */\n.theme-switch-button .theme-switch {\n  display: none;\n}\n.theme-switch-button .theme-switch:active {\n  text-decoration: none;\n  color: var(--pst-color-link-hover);\n}\n.theme-switch-button .theme-switch .fa-lg {\n  aspect-ratio: 1/1;\n}\n\nhtml[data-mode=auto] .theme-switch-button .theme-switch[data-mode=auto] {\n  display: inline;\n}\n\nhtml[data-mode=light] .theme-switch-button .theme-switch[data-mode=light] {\n  display: inline;\n}\n\nhtml[data-mode=dark] .theme-switch-button .theme-switch[data-mode=dark] {\n  display: inline;\n}\n\nbutton.btn.version-switcher__button {\n  border-color: var(--pst-color-border);\n  color: var(--pst-color-text-base);\n  margin-bottom: 1em;\n}\n@media (min-width: 960px) {\n  button.btn.version-switcher__button {\n    margin-bottom: unset;\n  }\n}\nbutton.btn.version-switcher__button:hover {\n  box-shadow: 0 0 0 0.1875rem var(--pst-color-secondary);\n  border-color: transparent;\n}\nbutton.btn.version-switcher__button:active {\n  color: var(--pst-color-text-base);\n  border-color: var(--pst-color-border);\n}\nbutton.btn.version-switcher__button:focus-visible {\n  border-color: transparent;\n}\n\n.version-switcher__menu {\n  border-color: var(--pst-color-border);\n  border-radius: var(--bs-dropdown-border-radius);\n}\n.version-switcher__menu a.list-group-item {\n  background-color: var(--pst-color-on-background);\n  color: var(--pst-color-text-base);\n  padding: 0.75rem 1.25rem;\n}\n.version-switcher__menu a.list-group-item:not(:last-child) {\n  border-bottom: 1px solid var(--pst-color-border);\n}\n.version-switcher__menu a.list-group-item:hover {\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n  color: var(--pst-color-link-hover);\n  background-color: var(--pst-color-surface);\n}\n.version-switcher__menu a.list-group-item.active {\n  font-weight: 600;\n  color: var(--pst-color-primary);\n  box-shadow: inset max(3px, .1875rem, .12em) 0 0 var(--pst-color-primary);\n  position: relative;\n  z-index: 1;\n}\n.version-switcher__menu a.list-group-item.active:focus-visible {\n  box-shadow: inset max(3px, .1875rem, .12em) 0 0 var(--pst-color-primary), 0 0 0 0.1875rem var(--pst-color-accent);\n  outline: none;\n}\n.version-switcher__menu a.list-group-item.active span::before {\n  content: \"\";\n  width: 100%;\n  height: 100%;\n  position: absolute;\n  z-index: -1;\n  left: 0;\n  top: 0;\n}\n.version-switcher__menu a.list-group-item:focus-visible {\n  z-index: 10;\n}\n\nbutton.version-switcher__button,\n.version-switcher__menu {\n  font-size: 1.1em;\n  z-index: 1055;\n  box-sizing: border-box;\n  min-width: 24px;\n  min-height: 24px;\n}\n@media (min-width: 960px) {\n  button.version-switcher__button,\n  .version-switcher__menu {\n    font-size: unset;\n  }\n}\n\n/* Collapsing of the TOC sidebar while scrolling */\n/* Nav: hide second level (shown on .active) */\nnav.page-toc {\n  margin-bottom: 1rem;\n}\n\n.bd-toc .nav .nav {\n  display: none;\n}\n.bd-toc .nav .nav.visible {\n  display: block;\n}\n.bd-toc .nav > .active > ul {\n  display: block;\n}\n\n.toc-entry {\n  display: block;\n}\n.toc-entry a > code {\n  color: var(--pst-color-text-muted);\n}\n.toc-entry a.nav-link {\n  display: block;\n  padding: 0.25rem 0;\n  padding-left: 1rem;\n  margin-left: -1rem;\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n}\n.toc-entry a.nav-link:hover {\n  text-decoration: underline;\n  background-color: transparent;\n  color: var(--pst-color-link-hover);\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n}\n.toc-entry a.nav-link:active {\n  color: var(--pst-color-link-hover);\n}\n.toc-entry a.nav-link:focus-visible {\n  box-shadow: 0 0 0 0.1875rem var(--pst-color-accent);\n  outline: none;\n  z-index: 10;\n}\n.toc-entry a.nav-link.active {\n  font-weight: 600;\n  color: var(--pst-color-primary);\n  box-shadow: inset max(3px, .1875rem, .12em) 0 0 var(--pst-color-primary);\n  background-color: transparent;\n}\n.toc-entry a.nav-link.active:focus-visible {\n  box-shadow: inset max(3px, .1875rem, .12em) 0 0 var(--pst-color-primary), 0 0 0 0.1875rem var(--pst-color-accent);\n  outline: none;\n}\n.toc-entry a.nav-link.active:hover {\n  color: var(--pst-color-link-hover);\n}\n.toc-entry a.nav-link:focus-visible {\n  border-radius: 0.125rem;\n}\n\ndiv.versionadded,\ndiv.versionchanged,\ndiv.deprecated {\n  vertical-align: middle;\n  margin: 1.5625em auto;\n  padding: 0 0.6rem;\n  overflow: hidden;\n  /* break-inside has replaced page-break-inside and is widely usable since 2019 */\n  page-break-inside: avoid;\n  break-inside: avoid;\n  border-left: 0.2rem solid;\n  border-color: var(--pst-color-info);\n  border-radius: 0.25rem;\n  background-color: var(--pst-color-on-background);\n  box-shadow: 0 0.2rem 0.5rem var(--pst-color-shadow), 0 0 0.0625rem var(--pst-color-shadow) !important;\n  position: relative;\n}\ndiv.versionadded > p,\ndiv.versionchanged > p,\ndiv.deprecated > p {\n  margin-bottom: 0.6rem;\n  margin-top: 0.6rem;\n}\n\ndiv.versionadded {\n  border-color: var(--pst-color-success);\n  background-color: var(--pst-color-success-bg);\n}\n\ndiv.versionchanged {\n  border-color: var(--pst-color-warning);\n  background-color: var(--pst-color-warning-bg);\n}\n\ndiv.deprecated {\n  border-color: var(--pst-color-danger);\n  background-color: var(--pst-color-danger-bg);\n}\n\nspan.versionmodified {\n  font-weight: 600;\n}\nspan.versionmodified::before {\n  margin-right: 0.6rem;\n  color: var(--pst-color-info);\n  font: var(--fa-font-solid);\n  content: var(--pst-icon-versionmodified-default);\n}\n\nspan.versionmodified.added::before {\n  color: var(--pst-color-success);\n  content: var(--pst-icon-versionmodified-added);\n}\n\nspan.versionmodified.changed::before {\n  color: var(--pst-color-warning);\n  content: var(--pst-icon-versionmodified-changed);\n}\n\nspan.versionmodified.deprecated::before {\n  color: var(--pst-color-danger);\n  content: var(--pst-icon-versionmodified-deprecated);\n}\n\n.sidebar-indices-items {\n  display: flex;\n  flex-direction: column;\n  border-top: 1px solid var(--pst-color-border);\n}\n@media (min-width: 960px) {\n  .sidebar-indices-items {\n    border-top: none;\n  }\n}\n.sidebar-indices-items .sidebar-indices-items__title {\n  font-weight: var(--pst-sidebar-header-font-weight);\n  font-size: var(--pst-sidebar-header-font-size);\n  color: var(--pst-color-text-base);\n  margin-bottom: 0.5rem;\n}\n.sidebar-indices-items ul.indices-link {\n  margin-right: -1rem;\n  list-style: none;\n  padding: 0;\n}\n.sidebar-indices-items ul.indices-link li > a {\n  display: block;\n  padding: 0.25rem 0;\n  color: var(--pst-color-text-muted);\n}\n.sidebar-indices-items ul.indices-link li > a:hover {\n  color: var(--pst-color-primary);\n  text-decoration: none;\n  background-color: transparent;\n}\n\n.bd-sidebar-primary div#rtd-footer-container {\n  position: sticky;\n  bottom: -1rem;\n  margin: -1rem;\n}\n.bd-sidebar-primary div#rtd-footer-container .rst-versions.rst-badge {\n  position: unset;\n  font-size: 0.9em;\n  font-family: var(--pst-font-family-base);\n  max-width: unset;\n}\n.bd-sidebar-primary div#rtd-footer-container .rst-versions.rst-badge .rst-current-version {\n  display: flex;\n  align-items: center;\n  gap: 0.2rem;\n  height: 2.5rem;\n  transition: background-color 0.2s ease-out;\n  background-color: var(--pst-color-background);\n  color: var(--pst-color-success);\n  border-top: 1px solid var(--pst-color-border);\n}\n.bd-sidebar-primary div#rtd-footer-container .rst-versions.rst-badge .fa.fa-book {\n  color: var(--pst-color-text-muted);\n  margin-right: auto;\n}\n.bd-sidebar-primary div#rtd-footer-container .rst-versions.rst-badge .fa.fa-book::after {\n  color: var(--pst-color-text-base);\n  content: \"Read The Docs\";\n  font-family: var(--pst-font-family-base);\n  font-weight: var(--pst-admonition-font-weight-heading);\n}\n.bd-sidebar-primary div#rtd-footer-container .rst-versions.rst-badge .fa.fa-caret-down {\n  color: var(--pst-color-text-muted);\n}\n.bd-sidebar-primary div#rtd-footer-container .rst-versions.rst-badge.shift-up .rst-current-version {\n  border-bottom: 1px solid var(--pst-color-border);\n}\n.bd-sidebar-primary div#rtd-footer-container .rst-other-versions {\n  background-color: var(--pst-color-surface);\n  color: var(--pst-color-text-base);\n}\n.bd-sidebar-primary div#rtd-footer-container .rst-other-versions dl dd a {\n  color: var(--pst-color-text-muted);\n}\n.bd-sidebar-primary div#rtd-footer-container .rst-other-versions hr {\n  background-color: var(--pst-color-border);\n}\n.bd-sidebar-primary div#rtd-footer-container .rst-other-versions small a, .bd-sidebar-primary div#rtd-footer-container .rst-other-versions .small a {\n  color: var(--pst-color-link);\n}\n.bd-sidebar-primary div#rtd-footer-container .rst-other-versions input {\n  padding-left: 0.5rem;\n  border: 1px solid var(--pst-color-border);\n  background-color: var(--pst-color-surface);\n}\n\n/**\n * Admonitions and blocks of styled content.\n * Admonitions CSS originally inspired by https://squidfunk.github.io/mkdocs-material/getting-started/\n */\ndiv.admonition,\n.admonition {\n  margin: 1.5625em auto;\n  padding: 0 0.6rem 0.8rem;\n  overflow: hidden;\n  /* break-inside has replaced page-break-inside and is widely usable since 2019 */\n  page-break-inside: avoid;\n  break-inside: avoid;\n  border-left: 0.2rem solid;\n  border-color: var(--pst-color-info);\n  border-radius: 0.25rem;\n  background-color: var(--pst-color-on-background);\n  box-shadow: 0 0.2rem 0.5rem var(--pst-color-shadow), 0 0 0.0625rem var(--pst-color-shadow) !important;\n  /**\n   * Special-case for a `sidebar` class that makes the admonition float to\n   * the right like the {sidebar} directive.\n   */\n}\ndiv.admonition *:last-child,\n.admonition *:last-child {\n  margin-bottom: 0;\n}\ndiv.admonition p.admonition-title ~ *,\n.admonition p.admonition-title ~ * {\n  margin-left: 1.4rem;\n  margin-right: 1.4rem;\n}\ndiv.admonition > ol,\ndiv.admonition > ul,\n.admonition > ol,\n.admonition > ul {\n  margin-left: 1em;\n}\ndiv.admonition > .admonition-title,\n.admonition > .admonition-title {\n  margin: 0 -0.6rem;\n  padding: 0.4rem 0.6rem 0.4rem 2rem;\n  font-weight: var(--pst-admonition-font-weight-heading);\n  position: relative;\n  background-color: var(--pst-color-info-bg);\n  z-index: 1;\n}\ndiv.admonition > .admonition-title::before,\n.admonition > .admonition-title::before {\n  content: \"\";\n  width: 100%;\n  height: 100%;\n  position: absolute;\n  left: 0;\n  top: 0;\n  z-index: -1;\n  pointer-events: none;\n}\ndiv.admonition > .admonition-title::after,\n.admonition > .admonition-title::after {\n  position: absolute;\n  left: 0.5rem;\n  width: 1rem;\n  height: 1rem;\n  color: var(--pst-color-info);\n  font: var(--fa-font-solid);\n  line-height: inherit;\n  content: var(--pst-icon-admonition-default);\n  opacity: 1;\n}\ndiv.admonition > .admonition-title + *,\n.admonition > .admonition-title + * {\n  margin-top: 0.4em;\n}\ndiv.admonition.attention,\n.admonition.attention {\n  border-color: var(--pst-color-attention);\n}\ndiv.admonition.attention > .admonition-title,\n.admonition.attention > .admonition-title {\n  background-color: var(--pst-color-attention-bg);\n}\ndiv.admonition.attention > .admonition-title::after,\n.admonition.attention > .admonition-title::after {\n  color: var(--pst-color-attention);\n  content: var(--pst-icon-admonition-attention);\n}\ndiv.admonition.caution,\n.admonition.caution {\n  border-color: var(--pst-color-warning);\n}\ndiv.admonition.caution > .admonition-title,\n.admonition.caution > .admonition-title {\n  background-color: var(--pst-color-warning-bg);\n}\ndiv.admonition.caution > .admonition-title::after,\n.admonition.caution > .admonition-title::after {\n  color: var(--pst-color-warning);\n  content: var(--pst-icon-admonition-caution);\n}\ndiv.admonition.warning,\n.admonition.warning {\n  border-color: var(--pst-color-warning);\n}\ndiv.admonition.warning > .admonition-title,\n.admonition.warning > .admonition-title {\n  background-color: var(--pst-color-warning-bg);\n}\ndiv.admonition.warning > .admonition-title::after,\n.admonition.warning > .admonition-title::after {\n  color: var(--pst-color-warning);\n  content: var(--pst-icon-admonition-warning);\n}\ndiv.admonition.danger,\n.admonition.danger {\n  border-color: var(--pst-color-danger);\n}\ndiv.admonition.danger > .admonition-title,\n.admonition.danger > .admonition-title {\n  background-color: var(--pst-color-danger-bg);\n}\ndiv.admonition.danger > .admonition-title::after,\n.admonition.danger > .admonition-title::after {\n  color: var(--pst-color-danger);\n  content: var(--pst-icon-admonition-danger);\n}\ndiv.admonition.error,\n.admonition.error {\n  border-color: var(--pst-color-danger);\n}\ndiv.admonition.error > .admonition-title,\n.admonition.error > .admonition-title {\n  background-color: var(--pst-color-danger-bg);\n}\ndiv.admonition.error > .admonition-title::after,\n.admonition.error > .admonition-title::after {\n  color: var(--pst-color-danger);\n  content: var(--pst-icon-admonition-error);\n}\ndiv.admonition.hint,\n.admonition.hint {\n  border-color: var(--pst-color-success);\n}\ndiv.admonition.hint > .admonition-title,\n.admonition.hint > .admonition-title {\n  background-color: var(--pst-color-success-bg);\n}\ndiv.admonition.hint > .admonition-title::after,\n.admonition.hint > .admonition-title::after {\n  color: var(--pst-color-success);\n  content: var(--pst-icon-admonition-hint);\n}\ndiv.admonition.tip,\n.admonition.tip {\n  border-color: var(--pst-color-success);\n}\ndiv.admonition.tip > .admonition-title,\n.admonition.tip > .admonition-title {\n  background-color: var(--pst-color-success-bg);\n}\ndiv.admonition.tip > .admonition-title::after,\n.admonition.tip > .admonition-title::after {\n  color: var(--pst-color-success);\n  content: var(--pst-icon-admonition-tip);\n}\ndiv.admonition.important,\n.admonition.important {\n  border-color: var(--pst-color-attention);\n}\ndiv.admonition.important > .admonition-title,\n.admonition.important > .admonition-title {\n  background-color: var(--pst-color-attention-bg);\n}\ndiv.admonition.important > .admonition-title::after,\n.admonition.important > .admonition-title::after {\n  color: var(--pst-color-attention);\n  content: var(--pst-icon-admonition-important);\n}\ndiv.admonition.note,\n.admonition.note {\n  border-color: var(--pst-color-info);\n}\ndiv.admonition.note > .admonition-title,\n.admonition.note > .admonition-title {\n  background-color: var(--pst-color-info-bg);\n}\ndiv.admonition.note > .admonition-title::after,\n.admonition.note > .admonition-title::after {\n  color: var(--pst-color-info);\n  content: var(--pst-icon-admonition-note);\n}\ndiv.admonition.seealso,\n.admonition.seealso {\n  border-color: var(--pst-color-success);\n}\ndiv.admonition.seealso > .admonition-title,\n.admonition.seealso > .admonition-title {\n  background-color: var(--pst-color-success-bg);\n}\ndiv.admonition.seealso > .admonition-title::after,\n.admonition.seealso > .admonition-title::after {\n  color: var(--pst-color-success);\n  content: var(--pst-icon-admonition-seealso);\n}\ndiv.admonition.admonition-todo,\n.admonition.admonition-todo {\n  border-color: var(--pst-color-secondary);\n}\ndiv.admonition.admonition-todo > .admonition-title,\n.admonition.admonition-todo > .admonition-title {\n  background-color: var(--pst-color-secondary-bg);\n}\ndiv.admonition.admonition-todo > .admonition-title::after,\n.admonition.admonition-todo > .admonition-title::after {\n  color: var(--pst-color-secondary);\n  content: var(--pst-icon-admonition-todo);\n}\ndiv.admonition.sidebar,\n.admonition.sidebar {\n  max-width: 40%;\n  float: right;\n  clear: both;\n  margin-left: 0.5rem;\n  margin-top: 0;\n  border-width: 0 0 0 0.2rem;\n}\ndiv.admonition.sidebar.attention, div.admonition.sidebar.important,\n.admonition.sidebar.attention,\n.admonition.sidebar.important {\n  border-color: var(--pst-color-attention);\n}\ndiv.admonition.sidebar.caution, div.admonition.sidebar.warning,\n.admonition.sidebar.caution,\n.admonition.sidebar.warning {\n  border-color: var(--pst-color-warning);\n}\ndiv.admonition.sidebar.danger, div.admonition.sidebar.error,\n.admonition.sidebar.danger,\n.admonition.sidebar.error {\n  border-color: var(--pst-color-danger);\n}\ndiv.admonition.sidebar.hint, div.admonition.sidebar.tip, div.admonition.sidebar.seealso,\n.admonition.sidebar.hint,\n.admonition.sidebar.tip,\n.admonition.sidebar.seealso {\n  border-color: var(--pst-color-success);\n}\ndiv.admonition.sidebar.note, div.admonition.sidebar.todo,\n.admonition.sidebar.note,\n.admonition.sidebar.todo {\n  border-color: var(--pst-color-info);\n}\ndiv.admonition.sidebar p.admonition-title ~ *,\n.admonition.sidebar p.admonition-title ~ * {\n  margin-left: 0;\n  margin-right: 0;\n}\n\n/**************************************************************\n * Similar content blocks that are not technically admonitions.\n */\n/**\n * Topics and the {contents} directive\n */\ndiv.topic,\ndiv.topic.contents,\nnav.contents,\naside.topic {\n  display: flex;\n  flex-direction: column;\n  background-color: var(--pst-color-surface);\n  border-color: var(--pst-color-border);\n  border-radius: 0.25rem;\n  padding: 1rem 1.25rem;\n  box-shadow: 0 0.2rem 0.5rem var(--pst-color-shadow), 0 0 0.0625rem var(--pst-color-shadow) !important;\n}\ndiv.topic .topic-title,\ndiv.topic.contents .topic-title,\nnav.contents .topic-title,\naside.topic .topic-title {\n  margin: 0 0 0.5rem;\n}\ndiv.topic p,\ndiv.topic.contents p,\nnav.contents p,\naside.topic p {\n  color: var(--pst-color-on-surface) !important;\n}\ndiv.topic ul.simple,\ndiv.topic.contents ul.simple,\nnav.contents ul.simple,\naside.topic ul.simple {\n  padding-left: 1rem;\n}\ndiv.topic ul.simple ul,\ndiv.topic.contents ul.simple ul,\nnav.contents ul.simple ul,\naside.topic ul.simple ul {\n  padding-left: 2em;\n}\n\n/**\n * Sidebar directive\n */\naside.sidebar {\n  border: 1px solid var(--pst-color-border);\n  background-color: var(--pst-color-surface);\n  border-radius: 0.25rem;\n  margin-left: 0.5rem;\n  padding: 0;\n}\naside.sidebar > *:last-child {\n  padding-bottom: 1rem;\n}\naside.sidebar p.sidebar-title {\n  position: relative;\n  margin-bottom: 0;\n  padding-top: 0.5rem;\n  padding-bottom: 0.5rem;\n  border-bottom: 1px solid var(--pst-color-border);\n  font-family: var(--pst-font-family-heading);\n  font-weight: var(--pst-admonition-font-weight-heading);\n}\naside.sidebar > *:not(.sidebar-title):first-child,\naside.sidebar > p.sidebar-title + * {\n  margin-top: 1rem;\n}\naside.sidebar > * {\n  padding-left: 1rem;\n  padding-right: 1rem;\n}\n\n/**\n * Rubrics look kind of like section headers\n */\np.rubric {\n  display: flex;\n  flex-direction: column;\n}\n\n/**\n * Seealso is kind of like a vertically-collapsed admonition\n */\n.seealso dd {\n  margin-top: 0;\n  margin-bottom: 0;\n}\n\n/*******************************************************************************\n* Styling for field lists\n*/\n/* grey highlighting of 'parameter' and 'returns' field */\ntable.field-list {\n  border-collapse: separate;\n  border-spacing: 10px;\n  margin-left: 1px;\n  /* italic font for parameter types */\n}\ntable.field-list th.field-name {\n  padding: 1px 8px 1px 5px;\n  white-space: nowrap;\n  background-color: var(--pst-color-surface);\n}\ntable.field-list td.field-body {\n  /* reduced space around parameter description */\n}\ntable.field-list td.field-body p {\n  font-style: italic;\n}\ntable.field-list td.field-body p > strong {\n  font-style: normal;\n}\ntable.field-list td.field-body blockquote {\n  border-left: none;\n  margin: 0 0 0.3em;\n  padding-left: 30px;\n}\n\n/*******************************************************************************\n* Styling for autosummary tables\n*/\n.table.autosummary td:first-child {\n  white-space: nowrap;\n}\n\n/* overriding basic.css to use our own monospace font */\n.sig {\n  font-family: var(--pst-font-family-monospace);\n}\n\n/* C++ specific styling - overriding the basic.css to avoid custom colors */\n.sig-inline.c-texpr,\n.sig-inline.cpp-texpr {\n  font-family: unset;\n}\n\n.sig.c .k,\n.sig.c .kt,\n.sig.cpp .k,\n.sig.cpp .kt {\n  color: var(--pst-color-text-base);\n}\n\n.sig.c .m,\n.sig.cpp .m {\n  color: var(--pst-color-text-base);\n}\n\n.sig.c .s,\n.sig.c .sc,\n.sig.cpp .s,\n.sig.cpp .sc {\n  color: var(--pst-color-text-base);\n}\n\n.sig-name {\n  color: var(--pst-color-inline-code);\n}\n\n.sig-param .o,\n.sig-param .default_value {\n  color: var(--pst-color-text-muted);\n  font-weight: normal;\n}\n\ndt:target,\nspan.highlighted {\n  background-color: var(--pst-color-target);\n}\n\n.viewcode-back {\n  font-family: var(--pst-font-family-base);\n}\n\n.viewcode-block:target {\n  border-top: 1px solid var(--pst-color-border);\n  border-bottom: 1px solid var(--pst-color-border);\n  position: relative;\n  background-color: var(--pst-color-target);\n}\n\ndl > dt > a:has(.viewcode-link) {\n  float: right;\n}\ndl > dt > a:has(.viewcode-link) .viewcode-link {\n  float: none;\n}\n\n/*******************************************************************************\n* Styling for autosummary titles like \"parameters\" and \"returns\"\n*/\ndl[class]:not(.option-list, .field-list, .footnote, .glossary, .simple) {\n  margin-bottom: 3rem;\n}\ndl[class]:not(.option-list, .field-list, .footnote, .glossary, .simple) dd {\n  margin-left: 2rem;\n}\ndl[class]:not(.option-list, .field-list, .footnote, .glossary, .simple) dd > dl.simple > dt {\n  display: flex;\n}\ndl[class]:not(.option-list, .field-list, .footnote, .glossary, .simple) dl.field-list {\n  display: grid;\n  grid-template-columns: unset;\n}\ndl[class]:not(.option-list, .field-list, .footnote, .glossary, .simple) dt.field-odd,\ndl[class]:not(.option-list, .field-list, .footnote, .glossary, .simple) dt.field-even {\n  margin-top: 0.2rem;\n  margin-bottom: 0.1rem;\n  background-color: var(--pst-color-surface);\n}\n\n/**\n * Code block styling\n * Note that we inherit a lot of styling from Bootstrap so not many rules here.\n */\ndiv[class*=highlight-],\ndiv.highlight,\ndiv.literal-block-wrapper {\n  display: flex;\n  flex-direction: column;\n  width: unset;\n  border-radius: 0.25rem;\n  break-inside: avoid;\n}\n\ndiv.literal-block-wrapper {\n  border: 1px solid var(--pst-color-border);\n  border-radius: 0.25rem;\n}\ndiv.literal-block-wrapper div.code-block-caption {\n  margin: 0;\n  border-bottom: 1px solid var(--pst-color-border);\n  padding: 0.5rem;\n  font-size: 1rem;\n  font-weight: var(--pst-font-weight-caption);\n}\ndiv.literal-block-wrapper div.code-block-caption a.headerlink {\n  font-size: inherit;\n}\ndiv.literal-block-wrapper div[class*=highlight-] {\n  margin: 0;\n  border-radius: 0;\n}\ndiv.literal-block-wrapper div[class*=highlight-] pre {\n  border: none;\n  box-shadow: none;\n}\n\n/**\n * In-line code\n */\ncode.literal {\n  padding: 0.1rem 0.25rem;\n  background-color: var(--pst-color-surface);\n  border: 1px solid var(--pst-color-border);\n  border-radius: 0.25rem;\n}\n\na > code {\n  color: var(--pst-color-inline-code-links);\n}\na > code:hover {\n  color: var(--pst-color-link-hover);\n}\n\nspan.linenos {\n  opacity: 0.8 !important;\n}\n\nfigure > a,\nfigure > a > img,\nfigure > img,\nfigure > video {\n  display: block;\n  margin-left: auto;\n  margin-right: auto;\n}\n\nfigure a.headerlink {\n  position: absolute;\n  font-size: inherit;\n}\nfigure:hover a.headerlink {\n  visibility: visible;\n}\nfigure figcaption {\n  font-family: var(--pst-font-family-heading);\n  font-weight: var(--pst-font-weight-caption);\n  color: var(--pst-color-text-muted);\n  margin-left: auto;\n  margin-right: auto;\n  margin-top: 0.3rem;\n  text-align: center;\n}\nfigure figcaption > p:last-child {\n  margin-bottom: 0;\n}\nfigure figcaption p {\n  text-align: start;\n  display: inline-block;\n}\nfigure figcaption table.table {\n  width: fit-content;\n  margin-left: auto;\n  margin-right: auto;\n}\n\ndt.label > span.brackets:not(:only-child)::before {\n  content: \"[\";\n}\n\ndt.label > span.brackets:not(:only-child)::after {\n  content: \"]\";\n}\n\na.footnote-reference {\n  vertical-align: super;\n  font-size: small;\n}\n\naside.footnote {\n  margin-bottom: 0.5rem;\n}\naside.footnote:last-child {\n  margin-bottom: 1rem;\n}\naside.footnote span.label,\naside.footnote span.backrefs {\n  font-weight: bold;\n}\naside.footnote:target {\n  background-color: var(--pst-color-target);\n}\n\n/**\n * Hacky fixes that don't fit cleanly into other sections\n */\ntable.highlighttable td.linenos,\nspan.linenos,\ndiv.doctest > div.highlight span.gp {\n  /* gp: Generic.Prompt */\n  user-select: none;\n}\n\ndd {\n  margin-top: 3px;\n  margin-bottom: 10px;\n  margin-left: 30px;\n}\n\nol,\nul {\n  padding-inline-start: 2rem;\n}\nol li > p:first-child,\nul li > p:first-child {\n  margin-bottom: 0.25rem;\n  margin-top: 0.25rem;\n}\n\nblockquote {\n  padding: 1em;\n  color: var(--pst-color-text-muted);\n  border-left: 0.25em solid var(--pst-color-blockquote-notch);\n  border-radius: 0.25rem;\n  position: relative;\n  background-color: var(--pst-color-surface);\n}\nblockquote p {\n  color: var(--pst-color-text-base);\n}\nblockquote .line-block {\n  margin: 0;\n}\nblockquote p:last-child {\n  margin-bottom: 0;\n}\nblockquote::before {\n  content: \"\";\n  width: 100%;\n  height: 100%;\n  position: absolute;\n  left: 0;\n  top: 0;\n  z-index: -1;\n  pointer-events: none;\n}\nblockquote a {\n  color: var(--pst-color-inline-code-links);\n}\nblockquote::before {\n  z-index: -1;\n}\n\n/**\n * Span-level styling within content\n */\nspan.guilabel {\n  border: 1px solid var(--pst-color-info);\n  font-size: 80%;\n  font-weight: 700;\n  border-radius: 4px;\n  padding: 2.4px 6px;\n  margin: auto 2px;\n  position: relative;\n  background-color: var(--pst-color-info-bg);\n}\nspan.guilabel::before {\n  content: \"\";\n  width: 100%;\n  height: 100%;\n  position: absolute;\n  left: 0;\n  top: 0;\n  z-index: -1;\n  pointer-events: none;\n}\n\na.reference.download::before {\n  content: var(--pst-icon-download);\n  font: var(--fa-font-solid);\n  font-size: 0.8em;\n  padding: 0 0.25em;\n  color: var(--pst-color-text-muted);\n}\n\n/**\n * Tables\n */\ntable {\n  margin-left: auto;\n  margin-right: auto;\n}\ntable.table-right {\n  margin-right: 0;\n}\ntable.table-left {\n  margin-left: 0;\n}\n\ntable caption {\n  text-align: center;\n  caption-side: top;\n  color: var(--pst-color-text-muted);\n}\n\nth.text-left,\ntd.text-left {\n  text-align: left;\n}\nth.text-right,\ntd.text-right {\n  text-align: right;\n}\nth.text-center,\ntd.text-center {\n  text-align: center;\n}\n\n.table {\n  color: var(--pst-color-table);\n  border: 1px solid var(--pst-color-table-outer-border);\n  --bs-table-bg: transparent;\n  --bs-table-color: var(\n    --pst-color-text-base\n  );\n}\n.table th ~ th,\n.table th ~ td,\n.table td ~ th,\n.table td ~ td {\n  border-left: 1px solid var(--pst-color-table-inner-border);\n}\n.table thead tr {\n  background-color: var(--pst-color-table-heading-bg);\n  border-bottom: 2px solid var(--pst-color-primary);\n}\n.table tbody tr:nth-child(odd) {\n  background-color: var(--pst-color-table-row-zebra-low-bg);\n}\n.table tbody tr:nth-child(even) {\n  background-color: var(--pst-color-table-row-zebra-high-bg);\n}\n.table tbody tr:hover {\n  background-color: var(--pst-color-table-row-hover-bg);\n}\n\n.pst-scrollable-table-container {\n  overflow-x: auto;\n}\n\n/**\n * Style the toctree component in pages (avoid modifying the navbars)\n */\n.toctree-wrapper p.caption {\n  font-size: 1.5em;\n  margin-bottom: 0;\n}\n.toctree-wrapper > ul {\n  padding-left: 0;\n}\n.toctree-wrapper li[class^=toctree-l] {\n  list-style: none;\n  margin-bottom: 0.2em;\n}\n.toctree-wrapper li[class^=toctree-l] > a {\n  list-style: none;\n  font-size: 1.1em;\n}\n.toctree-wrapper li[class^=toctree-l] > ul {\n  list-style: none;\n  padding-inline-start: 1.5em;\n}\n.toctree-wrapper .toctree-l1 > a {\n  font-size: 1.3em;\n}\n\ndiv.topic.contents ul.simple,\nnav.contents ul.simple {\n  list-style: none;\n  padding-left: 0;\n}\n\n/**\n * Mathematics via MathJax.\n *\n * This is designed for MathJax v3\n * ref: https://www.sphinx-doc.org/en/master/usage/extensions/math.html#module-sphinx.ext.mathjax\n */\nspan.math,\ndiv.math {\n  align-items: center;\n  display: flex;\n  max-width: 100%;\n  overflow: hidden;\n}\n\nspan.math {\n  display: inline-flex;\n}\n\ndiv.math {\n  gap: 0.5em;\n  flex-direction: row-reverse;\n}\ndiv.math span.eqno a.headerlink {\n  position: relative;\n  font-size: 1em;\n}\ndiv.math mjx-container {\n  flex-grow: 1;\n  padding-bottom: 0.2rem;\n  overflow: auto;\n}\ndiv.math mjx-container mjx-assistive-mml {\n  height: 0;\n}\n\n/**\n * ABlog\n * ref: https://ablog.readthedocs.io/\n */\n/**\n * Sidebar template components\n */\n.ablog-sidebar-item h2, .ablog-sidebar-item .h2,\n.ablog-sidebar-item h3,\n.ablog-sidebar-item .h3 {\n  font-size: var(--pst-sidebar-header-font-size);\n  margin-top: 0.5rem;\n}\n.ablog-sidebar-item h2 a, .ablog-sidebar-item .h2 a,\n.ablog-sidebar-item h3 a,\n.ablog-sidebar-item .h3 a {\n  color: var(--pst-color-text-base);\n}\n.ablog-sidebar-item ul {\n  list-style: none;\n  padding-left: 0;\n  overflow-y: hidden;\n  display: flex;\n  flex-direction: column;\n  gap: 0.5em;\n  margin-bottom: 0;\n}\n.ablog-sidebar-item ul.ablog-cloud {\n  flex-flow: row wrap;\n  gap: 0.5rem;\n}\n.ablog-sidebar-item ul.ablog-cloud li {\n  display: flex;\n  align-items: center;\n}\n\n/**\n * Previous / next buttons at the bottom\n */\n.ablog__prev-next {\n  font-size: 1.2em;\n  display: flex;\n  padding: 1rem 0;\n}\n.ablog__prev-next > span {\n  display: flex;\n  max-width: 45%;\n}\n.ablog__prev-next > span a {\n  display: flex;\n  align-items: center;\n  margin-left: auto;\n  gap: 1rem;\n  line-height: 1.5rem;\n}\n.ablog__prev-next > span a i::before {\n  color: var(--pst-color-text-base);\n}\n.ablog__prev-next span.ablog__prev i.fa-arrow-circle-left::before {\n  content: var(--pst-icon-angle-left);\n}\n.ablog__prev-next span.ablog__spacer {\n  display: none;\n}\n.ablog__prev-next span.ablog__next {\n  margin-left: auto;\n  text-align: right;\n}\n.ablog__prev-next span.ablog__next i.fa-arrow-circle-right::before {\n  content: var(--pst-icon-angle-right);\n}\n\n/**\n * {postlist} directive and posts page\n */\n.ablog__collection,\n.postlist {\n  padding-left: 0;\n}\n.ablog__collection .ablog-post,\n.postlist .ablog-post {\n  list-style: none;\n}\n.ablog__collection .ablog-post .ablog-archive,\n.postlist .ablog-post .ablog-archive {\n  display: flex;\n  flex-flow: row wrap;\n  gap: 1rem;\n  list-style: none;\n  font-size: 0.75rem;\n  padding-left: 0;\n}\n.ablog__collection .ablog-post .ablog-post-title,\n.postlist .ablog-post .ablog-post-title {\n  margin-top: 0;\n  font-size: 1.25rem;\n}\n.ablog__collection .ablog-post .ablog-post-title a,\n.postlist .ablog-post .ablog-post-title a {\n  font-weight: bold;\n}\n.ablog__collection .ablog-post .ablog-post-expand,\n.postlist .ablog-post .ablog-post-expand {\n  margin-bottom: 0.5rem;\n}\n\n/**\n * Special cases for Bootstrap functionality\n */\n.docutils.container {\n  padding-left: unset;\n  padding-right: unset;\n  margin-left: unset;\n  margin-right: unset;\n  max-width: unset;\n  width: unset;\n}\n\n.btn {\n  --bs-btn-focus-box-shadow: 0 0 0 0.1875rem var(--pst-color-accent);\n}\n\n/**\n * Sphinx Copybutton\n * ref: https://sphinx-copybutton.readthedocs.io/\n */\ndiv.highlight button.copybtn {\n  display: flex;\n  align-items: center;\n  justify-content: center;\n  border: none;\n  background-color: var(--pst-color-surface);\n}\ndiv.highlight button.copybtn:not(.success) {\n  color: var(--pst-color-muted);\n}\ndiv.highlight button.copybtn:hover:not(.success) {\n  color: var(--pst-color-text);\n  background-color: var(--pst-color-shadow);\n}\ndiv.highlight button.copybtn.o-tooltip--left::after {\n  color: var(--pst-color-text);\n  background-color: var(--pst-color-surface);\n}\ndiv.highlight button.copybtn:focus {\n  opacity: 1;\n}\ndiv.highlight button.copybtn:focus-visible {\n  outline: var(--pst-color-accent) solid 0.1875rem;\n}\n\ndiv.highlight:has(button.copybtn) {\n  min-height: 2em;\n}\n\n#ethical-ad-placement .ethical-sidebar a,\n#ethical-ad-placement .ethical-sidebar a:visited,\n#ethical-ad-placement .ethical-sidebar a:hover,\n#ethical-ad-placement .ethical-sidebar a:active,\n#ethical-ad-placement .ethical-footer a,\n#ethical-ad-placement .ethical-footer a:visited,\n#ethical-ad-placement .ethical-footer a:hover,\n#ethical-ad-placement .ethical-footer a:active {\n  color: var(--pst-color-text-base);\n}\n#ethical-ad-placement .ethical-sidebar,\n#ethical-ad-placement .ethical-footer {\n  background-color: var(--pst-color-background);\n  border: 1px solid var(--pst-color-border);\n  border-radius: 5px;\n  color: var(--pst-color-text-base);\n  font-size: 14px;\n  line-height: 20px;\n}\n\n/**\n * Styles for various Sphinx execution libraries.\n * For now, where these define output sections, we simply revert their background\n * to be a \"light theme\" background. This ensures that inputs/outputs behave similarly,\n * because the CSS is often controlled by each package.\n * In the future, we might add dark theme support for specific packages.\n */\n/******************************************************************************\n * Jupyter Sphinx\n */\n.bd-content div.jupyter_container {\n  border: none;\n  background-color: unset;\n  box-shadow: none;\n}\n.bd-content div.jupyter_container div.output,\n.bd-content div.jupyter_container div.highlight {\n  border-radius: 0.25rem;\n}\n.bd-content div.jupyter_container div.highlight {\n  background-color: var(--pst-color-surface);\n}\n.bd-content div.jupyter_container .cell_input,\n.bd-content div.jupyter_container .cell_output {\n  border-radius: 0.25rem;\n}\n.bd-content div.jupyter_container .cell_input pre,\n.bd-content div.jupyter_container .cell_output pre {\n  padding: 1rem;\n}\n\n/* Styles for graphviz generated output from Sphinx */\n/* Style the inheritance diagram such that it has a dark mode */\nhtml[data-theme=dark] div.graphviz > object.inheritance {\n  filter: brightness(0.8) invert(0.82) contrast(1.2);\n  color-scheme: normal;\n}\n\n/**\n * Special-cases for packages in the PyData ecosystem\n */\n.xr-wrap[hidden] {\n  display: block !important;\n}\n\n.jp-OutputArea-output.lm-Widget {\n  overflow: auto;\n}\n\n/*******************************************************************************\n* master color map. Only the colors that actually differ between light and dark\n* themes are specified separately.\n*\n* To see the full list of colors see https://www.figma.com/file/rUrrHGhUBBIAAjQ82x6pz9/PyData-Design-system---proposal-for-implementation-(2)?node-id=1234%3A765&t=ifcFT1JtnrSshGfi-1\n*/\n/**\n* Function to get items from nested maps\n*/\n/* Assign base colors for the PyData theme */\n:root {\n  --pst-teal-50: #f4fbfc;\n  --pst-teal-100: #e9f6f8;\n  --pst-teal-200: #d0ecf1;\n  --pst-teal-300: #abdde6;\n  --pst-teal-400: #3fb1c5;\n  --pst-teal-500: #0a7d91;\n  --pst-teal-600: #085d6c;\n  --pst-teal-700: #064752;\n  --pst-teal-800: #042c33;\n  --pst-teal-900: #021b1f;\n  --pst-violet-50: #f4eefb;\n  --pst-violet-100: #e0c7ff;\n  --pst-violet-200: #d5b4fd;\n  --pst-violet-300: #b780ff;\n  --pst-violet-400: #9c5ffd;\n  --pst-violet-500: #8045e5;\n  --pst-violet-600: #6432bd;\n  --pst-violet-700: #4b258f;\n  --pst-violet-800: #341a61;\n  --pst-violet-900: #1e0e39;\n  --pst-gray-50: #f9f9fa;\n  --pst-gray-100: #f3f4f5;\n  --pst-gray-200: #e5e7ea;\n  --pst-gray-300: #d1d5da;\n  --pst-gray-400: #9ca4af;\n  --pst-gray-500: #677384;\n  --pst-gray-600: #48566b;\n  --pst-gray-700: #29313d;\n  --pst-gray-800: #222832;\n  --pst-gray-900: #14181e;\n  --pst-pink-50: #fcf8fd;\n  --pst-pink-100: #fcf0fa;\n  --pst-pink-200: #f8dff5;\n  --pst-pink-300: #f3c7ee;\n  --pst-pink-400: #e47fd7;\n  --pst-pink-500: #c132af;\n  --pst-pink-600: #912583;\n  --pst-pink-700: #6e1c64;\n  --pst-pink-800: #46123f;\n  --pst-pink-900: #2b0b27;\n  --pst-foundation-white: #ffffff;\n  --pst-foundation-black: #14181e;\n}\n\n/*******************************************************************************\n* write the color rules for each theme (light/dark)\n*/\n/* NOTE:\n * Mixins enable us to reuse the same definitions for the different modes\n * https://sass-lang.com/documentation/at-rules/mixin\n * something inserts a variable into a CSS selector or property name\n * https://sass-lang.com/documentation/interpolation\n */\n/* Defaults to light mode if data-theme is not set */\nhtml:not([data-theme]) {\n  --pst-color-primary: #0a7d91;\n  --pst-color-primary-bg: #d0ecf1;\n  --pst-color-secondary: #8045e5;\n  --pst-color-secondary-bg: #e0c7ff;\n  --pst-color-accent: #c132af;\n  --pst-color-accent-bg: #f8dff5;\n  --pst-color-info: #276be9;\n  --pst-color-info-bg: #dce7fc;\n  --pst-color-warning: #f66a0a;\n  --pst-color-warning-bg: #f8e3d0;\n  --pst-color-success: #00843f;\n  --pst-color-success-bg: #d6ece1;\n  --pst-color-attention: var(--pst-color-warning);\n  --pst-color-attention-bg: var(--pst-color-warning-bg);\n  --pst-color-danger: #d72d47;\n  --pst-color-danger-bg: #f9e1e4;\n  --pst-color-text-base: #222832;\n  --pst-color-text-muted: #48566b;\n  --pst-color-heading-color: #fff;\n  --pst-color-shadow: rgba(0, 0, 0, 0.1);\n  --pst-color-border: #d1d5da;\n  --pst-color-border-muted: rgba(23, 23, 26, 0.2);\n  --pst-color-blockquote-notch: #677384;\n  --pst-color-inline-code: #912583;\n  --pst-color-inline-code-links: #085d6c;\n  --pst-color-target: #f3cf95;\n  --pst-color-table: #14181e;\n  --pst-color-table-row-hover-bg: #b780ff;\n  --pst-color-table-inner-border: #e5e7ea;\n  --pst-color-background: #ffffff;\n  --pst-color-on-background: #ffffff;\n  --pst-color-surface: #f3f4f5;\n  --pst-color-on-surface: #222832;\n}\n\nhtml:not([data-theme]) {\n  --pst-color-link: var(--pst-color-primary);\n  --pst-color-link-hover: var(--pst-color-secondary);\n  --pst-color-table-outer-border: var(--pst-color-surface);\n  --pst-color-table-heading-bg: var(--pst-color-surface);\n  --pst-color-table-row-zebra-high-bg: var(--pst-color-on-background);\n  --pst-color-table-row-zebra-low-bg: var(--pst-color-surface);\n}\n\nhtml:not([data-theme]) .only-dark,\nhtml:not([data-theme]) .only-dark ~ figcaption {\n  display: none !important;\n}\n\n/* NOTE: @each {...} is like a for-loop\n * https://sass-lang.com/documentation/at-rules/control/each\n */\nhtml[data-theme=light] {\n  --pst-color-primary: #0a7d91;\n  --pst-color-primary-bg: #d0ecf1;\n  --pst-color-secondary: #8045e5;\n  --pst-color-secondary-bg: #e0c7ff;\n  --pst-color-accent: #c132af;\n  --pst-color-accent-bg: #f8dff5;\n  --pst-color-info: #276be9;\n  --pst-color-info-bg: #dce7fc;\n  --pst-color-warning: #f66a0a;\n  --pst-color-warning-bg: #f8e3d0;\n  --pst-color-success: #00843f;\n  --pst-color-success-bg: #d6ece1;\n  --pst-color-attention: var(--pst-color-warning);\n  --pst-color-attention-bg: var(--pst-color-warning-bg);\n  --pst-color-danger: #d72d47;\n  --pst-color-danger-bg: #f9e1e4;\n  --pst-color-text-base: #222832;\n  --pst-color-text-muted: #48566b;\n  --pst-color-heading-color: #fff;\n  --pst-color-shadow: rgba(0, 0, 0, 0.1);\n  --pst-color-border: #d1d5da;\n  --pst-color-border-muted: rgba(23, 23, 26, 0.2);\n  --pst-color-blockquote-notch: #677384;\n  --pst-color-inline-code: #912583;\n  --pst-color-inline-code-links: #085d6c;\n  --pst-color-target: #f3cf95;\n  --pst-color-table: #14181e;\n  --pst-color-table-row-hover-bg: #b780ff;\n  --pst-color-table-inner-border: #e5e7ea;\n  --pst-color-background: #ffffff;\n  --pst-color-on-background: #ffffff;\n  --pst-color-surface: #f3f4f5;\n  --pst-color-on-surface: #222832;\n  color-scheme: light;\n}\n\nhtml[data-theme=light] {\n  --pst-color-link: var(--pst-color-primary);\n  --pst-color-link-hover: var(--pst-color-secondary);\n  --pst-color-table-outer-border: var(--pst-color-surface);\n  --pst-color-table-heading-bg: var(--pst-color-surface);\n  --pst-color-table-row-zebra-high-bg: var(--pst-color-on-background);\n  --pst-color-table-row-zebra-low-bg: var(--pst-color-surface);\n}\n\nhtml[data-theme=light] .only-dark,\nhtml[data-theme=light] .only-dark ~ figcaption {\n  display: none !important;\n}\n\nhtml[data-theme=dark] {\n  --pst-color-primary: #3fb1c5;\n  --pst-color-primary-bg: #042c33;\n  --pst-color-secondary: #9c5ffd;\n  --pst-color-secondary-bg: #341a61;\n  --pst-color-accent: #e47fd7;\n  --pst-color-accent-bg: #46123f;\n  --pst-color-info: #79a3f2;\n  --pst-color-info-bg: #06245d;\n  --pst-color-warning: #ff9245;\n  --pst-color-warning-bg: #652a02;\n  --pst-color-success: #5fb488;\n  --pst-color-success-bg: #002f17;\n  --pst-color-attention: var(--pst-color-warning);\n  --pst-color-attention-bg: var(--pst-color-warning-bg);\n  --pst-color-danger: #e78894;\n  --pst-color-danger-bg: #4e111b;\n  --pst-color-text-base: #ced6dd;\n  --pst-color-text-muted: #9ca4af;\n  --pst-color-heading-color: #14181e;\n  --pst-color-shadow: rgba(0, 0, 0, 0.2);\n  --pst-color-border: #48566b;\n  --pst-color-border-muted: #29313d;\n  --pst-color-blockquote-notch: #9ca4af;\n  --pst-color-inline-code: #f3c7ee;\n  --pst-color-inline-code-links: #3fb1c5;\n  --pst-color-target: #675c04;\n  --pst-color-table: #ffffff;\n  --pst-color-table-row-hover-bg: #6432bd;\n  --pst-color-table-inner-border: #364150;\n  --pst-color-background: #14181e;\n  --pst-color-on-background: #222832;\n  --pst-color-surface: #29313d;\n  --pst-color-on-surface: #f3f4f5;\n  /* Adjust images in dark mode (unless they have class .only-dark or\n   * .dark-light, in which case assume they're already optimized for dark\n   * mode).\n   */\n  /* Give images a light background in dark mode in case they have\n  *  transparency and black text (unless they have class .only-dark or .dark-light, in\n  *  which case assume they're already optimized for dark mode).\n  */\n  color-scheme: dark;\n}\n\nhtml[data-theme=dark] {\n  --pst-color-link: var(--pst-color-primary);\n  --pst-color-link-hover: var(--pst-color-secondary);\n  --pst-color-table-outer-border: var(--pst-color-surface);\n  --pst-color-table-heading-bg: var(--pst-color-surface);\n  --pst-color-table-row-zebra-high-bg: var(--pst-color-on-background);\n  --pst-color-table-row-zebra-low-bg: var(--pst-color-surface);\n}\n\nhtml[data-theme=dark] .only-light,\nhtml[data-theme=dark] .only-light ~ figcaption {\n  display: none !important;\n}\n\nhtml[data-theme=dark] img:not(.only-dark, .dark-light) {\n  filter: brightness(0.8) contrast(1.2);\n}\n\nhtml[data-theme=dark] .bd-content img:not(.only-dark, .dark-light) {\n  background-color: rgb(255, 255, 255);\n  border-radius: 0.25rem;\n}\n\nhtml[data-theme=dark] .MathJax_SVG * {\n  fill: var(--pst-color-text-base);\n}\n\n.pst-color-primary {\n  color: var(--pst-color-primary);\n}\n\n.pst-color-secondary {\n  color: var(--pst-color-secondary);\n}\n\n.pst-color-accent {\n  color: var(--pst-color-accent);\n}\n\n.pst-color-info {\n  color: var(--pst-color-info);\n}\n\n.pst-color-warning {\n  color: var(--pst-color-warning);\n}\n\n.pst-color-success {\n  color: var(--pst-color-success);\n}\n\n.pst-color-attention {\n  color: var(--pst-color-attention);\n}\n\n.pst-color-danger {\n  color: var(--pst-color-danger);\n}\n\n.pst-color-text-base {\n  color: var(--pst-color-text-base);\n}\n\n.pst-color-text-muted {\n  color: var(--pst-color-text-muted);\n}\n\n.pst-color-heading-color {\n  color: var(--pst-color-heading-color);\n}\n\n.pst-color-shadow {\n  color: var(--pst-color-shadow);\n}\n\n.pst-color-border {\n  color: var(--pst-color-border);\n}\n\n.pst-color-border-muted {\n  color: var(--pst-color-border-muted);\n}\n\n.pst-color-blockquote-notch {\n  color: var(--pst-color-blockquote-notch);\n}\n\n.pst-color-inline-code {\n  color: var(--pst-color-inline-code);\n}\n\n.pst-color-inline-code-links {\n  color: var(--pst-color-inline-code-links);\n}\n\n.pst-color-target {\n  color: var(--pst-color-target);\n}\n\n.pst-color-table {\n  color: var(--pst-color-table);\n}\n\n.pst-color-table-row-hover {\n  color: var(--pst-color-table-row-hover);\n}\n\n.pst-color-table-inner-border {\n  color: var(--pst-color-table-inner-border);\n}\n\n.pst-color-background {\n  color: var(--pst-color-background);\n}\n\n.pst-color-on-background {\n  color: var(--pst-color-on-background);\n}\n\n.pst-color-surface {\n  color: var(--pst-color-surface);\n}\n\n.pst-color-on-surface {\n  color: var(--pst-color-on-surface);\n}\n\n/*******************************************************************************\n  * Color and variables\n  *\n  * This is a list of the semantic color names from sphinx-design (we only\n  * need to override variables that sphinx-design has actually defined).\n  * https://github.com/executablebooks/sphinx-design/blob/9226a12a/style/_colors.scss#L31-L43\n  */\n/**\n  * Here we create some extra --pst-color-* variables and use\n  * them to override the value of the corresponding sphinx-design variables.\n  * This is easier than re-writing the sphinx-design rules. Even easier would be\n  * directly assigning our values to the --sd-color-* variables, but then our\n  * downstream users couldn't override *our* colors and have it affect buttons\n  * and badges.\n  *\n  * First, define the extra keys needed to cover the full range of semantic\n  * color names used in sphinx-design, then merge them with the names we\n  * already define for our own needs.\n  * see https://sphinx-design.readthedocs.io/en/latest/css_variables.html\n  */\nhtml[data-theme=light] {\n  --pst-color-primary: rgb(10, 125, 145);\n  --pst-color-primary-text: #fff;\n  --pst-color-primary-highlight: #086b7c;\n  --sd-color-primary: var(--pst-color-primary);\n  --sd-color-primary-text: var(--pst-color-primary-text);\n  --sd-color-primary-highlight: var(--pst-color-primary-highlight);\n  --pst-color-primary-highlight-text: #fff;\n  --sd-color-primary-bg: #d0ecf1;\n  --sd-color-primary-bg-text: #14181e;\n  --pst-color-secondary: rgb(128, 69, 229);\n  --pst-color-secondary-text: #fff;\n  --pst-color-secondary-highlight: #651ee0;\n  --sd-color-secondary: var(--pst-color-secondary);\n  --sd-color-secondary-text: var(--pst-color-secondary-text);\n  --sd-color-secondary-highlight: var(--pst-color-secondary-highlight);\n  --pst-color-secondary-highlight-text: #fff;\n  --sd-color-secondary-bg: #e0c7ff;\n  --sd-color-secondary-bg-text: #14181e;\n  --pst-color-success: #00843f;\n  --pst-color-success-text: #fff;\n  --pst-color-success-highlight: #007036;\n  --sd-color-success: var(--pst-color-success);\n  --sd-color-success-text: var(--pst-color-success-text);\n  --sd-color-success-highlight: var(--pst-color-success-highlight);\n  --pst-color-success-highlight-text: #fff;\n  --sd-color-success-bg: #d6ece1;\n  --sd-color-success-bg-text: #14181e;\n  --pst-color-info: #276be9;\n  --pst-color-info-text: #fff;\n  --pst-color-info-highlight: #1457d3;\n  --sd-color-info: var(--pst-color-info);\n  --sd-color-info-text: var(--pst-color-info-text);\n  --sd-color-info-highlight: var(--pst-color-info-highlight);\n  --pst-color-info-highlight-text: #fff;\n  --sd-color-info-bg: #dce7fc;\n  --sd-color-info-bg-text: #14181e;\n  --pst-color-warning: #f66a0a;\n  --pst-color-warning-text: #14181e;\n  --pst-color-warning-highlight: #d25a07;\n  --sd-color-warning: var(--pst-color-warning);\n  --sd-color-warning-text: var(--pst-color-warning-text);\n  --sd-color-warning-highlight: var(--pst-color-warning-highlight);\n  --pst-color-warning-highlight-text: #14181e;\n  --sd-color-warning-bg: #f8e3d0;\n  --sd-color-warning-bg-text: #14181e;\n  --pst-color-danger: #d72d47;\n  --pst-color-danger-text: #fff;\n  --pst-color-danger-highlight: #bb2239;\n  --sd-color-danger: var(--pst-color-danger);\n  --sd-color-danger-text: var(--pst-color-danger-text);\n  --sd-color-danger-highlight: var(--pst-color-danger-highlight);\n  --pst-color-danger-highlight-text: #fff;\n  --sd-color-danger-bg: #f9e1e4;\n  --sd-color-danger-bg-text: #14181e;\n  --pst-color-light: #f3f4f5;\n  --pst-color-light-text: #14181e;\n  --pst-color-light-highlight: #c9cfd6;\n  --sd-color-light: var(--pst-color-light);\n  --sd-color-light-text: var(--pst-color-light-text);\n  --sd-color-light-highlight: var(--pst-color-light-highlight);\n  --pst-color-light-highlight-text: #14181e;\n  --sd-color-light-bg: #f7f7f8;\n  --sd-color-light-bg-text: #14181e;\n  --pst-color-muted: #29313d;\n  --pst-color-muted-text: #fff;\n  --pst-color-muted-highlight: #212936;\n  --sd-color-muted: var(--pst-color-muted);\n  --sd-color-muted-text: var(--pst-color-muted-text);\n  --sd-color-muted-highlight: var(--pst-color-muted-highlight);\n  --pst-color-muted-highlight-text: #fff;\n  --sd-color-muted-bg: #5a6c86;\n  --sd-color-muted-bg-text: #fff;\n  --pst-color-dark: #222832;\n  --pst-color-dark-text: #fff;\n  --pst-color-dark-highlight: #1b222c;\n  --sd-color-dark: var(--pst-color-dark);\n  --sd-color-dark-text: var(--pst-color-dark-text);\n  --sd-color-dark-highlight: var(--pst-color-dark-highlight);\n  --pst-color-dark-highlight-text: #fff;\n  --pst-color-black: #14181e;\n  --pst-color-black-text: #fff;\n  --pst-color-black-highlight: #10141a;\n  --sd-color-black: var(--pst-color-black);\n  --sd-color-black-text: var(--pst-color-black-text);\n  --sd-color-black-highlight: var(--pst-color-black-highlight);\n  --pst-color-black-highlight-text: #fff;\n  --pst-color-white: #fff;\n  --pst-color-white-text: #14181e;\n  --pst-color-white-highlight: #dbd7d7;\n  --sd-color-white: var(--pst-color-white);\n  --sd-color-white-text: var(--pst-color-white-text);\n  --sd-color-white-highlight: var(--pst-color-white-highlight);\n  --pst-color-white-highlight-text: #14181e;\n}\n\nhtml[data-theme=dark] {\n  --pst-color-primary: rgb(63, 177, 197);\n  --pst-color-primary-text: #14181e;\n  --pst-color-primary-highlight: #319aac;\n  --sd-color-primary: var(--pst-color-primary);\n  --sd-color-primary-text: var(--pst-color-primary-text);\n  --sd-color-primary-highlight: var(--pst-color-primary-highlight);\n  --pst-color-primary-highlight-text: #14181e;\n  --sd-color-primary-bg: #042c33;\n  --sd-color-primary-bg-text: #fff;\n  --pst-color-secondary: rgb(156, 95, 253);\n  --pst-color-secondary-text: #14181e;\n  --pst-color-secondary-highlight: #7c2bfc;\n  --sd-color-secondary: var(--pst-color-secondary);\n  --sd-color-secondary-text: var(--pst-color-secondary-text);\n  --sd-color-secondary-highlight: var(--pst-color-secondary-highlight);\n  --pst-color-secondary-highlight-text: #fff;\n  --sd-color-secondary-bg: #341a61;\n  --sd-color-secondary-bg-text: #fff;\n  --pst-color-success: #5fb488;\n  --pst-color-success-text: #14181e;\n  --pst-color-success-highlight: #47a373;\n  --sd-color-success: var(--pst-color-success);\n  --sd-color-success-text: var(--pst-color-success-text);\n  --sd-color-success-highlight: var(--pst-color-success-highlight);\n  --pst-color-success-highlight-text: #14181e;\n  --sd-color-success-bg: #002f17;\n  --sd-color-success-bg-text: #fff;\n  --pst-color-info: #79a3f2;\n  --pst-color-info-text: #14181e;\n  --pst-color-info-highlight: #4681ee;\n  --sd-color-info: var(--pst-color-info);\n  --sd-color-info-text: var(--pst-color-info-text);\n  --sd-color-info-highlight: var(--pst-color-info-highlight);\n  --pst-color-info-highlight-text: #14181e;\n  --sd-color-info-bg: #06245d;\n  --sd-color-info-bg-text: #fff;\n  --pst-color-warning: #ff9245;\n  --pst-color-warning-text: #14181e;\n  --pst-color-warning-highlight: #ff7614;\n  --sd-color-warning: var(--pst-color-warning);\n  --sd-color-warning-text: var(--pst-color-warning-text);\n  --sd-color-warning-highlight: var(--pst-color-warning-highlight);\n  --pst-color-warning-highlight-text: #14181e;\n  --sd-color-warning-bg: #652a02;\n  --sd-color-warning-bg-text: #fff;\n  --pst-color-danger: #e78894;\n  --pst-color-danger-text: #14181e;\n  --pst-color-danger-highlight: #df596a;\n  --sd-color-danger: var(--pst-color-danger);\n  --sd-color-danger-text: var(--pst-color-danger-text);\n  --sd-color-danger-highlight: var(--pst-color-danger-highlight);\n  --pst-color-danger-highlight-text: #14181e;\n  --sd-color-danger-bg: #4e111b;\n  --sd-color-danger-bg-text: #fff;\n  --pst-color-light: #f3f4f5;\n  --pst-color-light-text: #14181e;\n  --pst-color-light-highlight: #c9cfd6;\n  --sd-color-light: var(--pst-color-light);\n  --sd-color-light-text: var(--pst-color-light-text);\n  --sd-color-light-highlight: var(--pst-color-light-highlight);\n  --pst-color-light-highlight-text: #14181e;\n  --sd-color-light-bg: #a3abb2;\n  --sd-color-light-bg-text: #14181e;\n  --pst-color-muted: #f3f4f5;\n  --pst-color-muted-text: #14181e;\n  --pst-color-muted-highlight: #c9cfd6;\n  --sd-color-muted: var(--pst-color-muted);\n  --sd-color-muted-text: var(--pst-color-muted-text);\n  --sd-color-muted-highlight: var(--pst-color-muted-highlight);\n  --pst-color-muted-highlight-text: #14181e;\n  --sd-color-muted-bg: #1d222b;\n  --sd-color-muted-bg-text: #fff;\n  --pst-color-dark: #222832;\n  --pst-color-dark-text: #fff;\n  --pst-color-dark-highlight: #1b222c;\n  --sd-color-dark: var(--pst-color-dark);\n  --sd-color-dark-text: var(--pst-color-dark-text);\n  --sd-color-dark-highlight: var(--pst-color-dark-highlight);\n  --pst-color-dark-highlight-text: #fff;\n  --pst-color-black: #14181e;\n  --pst-color-black-text: #fff;\n  --pst-color-black-highlight: #10141a;\n  --sd-color-black: var(--pst-color-black);\n  --sd-color-black-text: var(--pst-color-black-text);\n  --sd-color-black-highlight: var(--pst-color-black-highlight);\n  --pst-color-black-highlight-text: #fff;\n  --pst-color-white: #fff;\n  --pst-color-white-text: #14181e;\n  --pst-color-white-highlight: #dbd7d7;\n  --sd-color-white: var(--pst-color-white);\n  --sd-color-white-text: var(--pst-color-white-text);\n  --sd-color-white-highlight: var(--pst-color-white-highlight);\n  --pst-color-white-highlight-text: #14181e;\n}\n\nhtml[data-theme=light] {\n  --sd-color-card-border: var(--pst-color-border);\n}\n\nhtml[data-theme=dark] {\n  --sd-color-card-border: var(--pst-color-border);\n}\n\n/*******************************************************************************\n  * shadows\n  */\nhtml[data-theme=light] .sd-shadow-xs,\nhtml[data-theme=light] .sd-shadow-sm,\nhtml[data-theme=light] .sd-shadow-md,\nhtml[data-theme=light] .sd-shadow-lg {\n  box-shadow: 0 0.2rem 0.5rem var(--pst-color-shadow), 0 0 0.0625rem var(--pst-color-shadow) !important;\n}\n\n/*******************************************************************************\n  * cards\n  */\n.bd-content .sd-card {\n  border: 1px solid var(--pst-color-border);\n}\n.bd-content .sd-card .sd-card-header {\n  background-color: var(--pst-color-panel-background);\n  border-bottom: 1px solid var(--pst-color-border);\n}\n.bd-content .sd-card .sd-card-footer {\n  background-color: var(--pst-color-panel-background);\n  border-top: 1px solid var(--pst-color-border);\n}\n.bd-content .sd-card .sd-card-body {\n  background-color: var(--pst-color-panel-background);\n}\n.bd-content .sd-card .sd-stretched-link:focus-visible {\n  outline: none;\n}\n.bd-content .sd-card .sd-stretched-link:focus-visible::after {\n  outline: var(--pst-color-accent) solid 0.1875rem;\n  border-radius: 0.25rem;\n}\n.bd-content .sd-card.sd-card-hover:hover {\n  border-color: var(--pst-color-link-hover);\n}\n\n/*******************************************************************************\n  * tabs\n  */\n.bd-content .sd-tab-set > input:checked + label {\n  border-style: solid solid none;\n  border-color: var(--pst-color-primary) var(--pst-color-primary) transparent;\n  border-width: 0.125rem 0.125rem 0;\n  border-radius: 0.125rem 0.125rem 0 0;\n  background-color: var(--pst-color-on-background);\n  transform: translateY(0.125rem);\n  color: var(--pst-color-primary);\n}\n.bd-content .sd-tab-set > input:focus-visible + label {\n  border: 0.125rem solid var(--pst-color-accent);\n  border-radius: 0.125rem;\n  background-color: var(--pst-color-accent-bg);\n  color: var(--pst-color-on-surface);\n}\n.bd-content .sd-tab-set > input:not(:checked, :focus-visible) + label:hover {\n  border-color: transparent;\n  color: var(--pst-color-secondary);\n  text-decoration-line: underline;\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n}\n.bd-content .sd-tab-set > label {\n  color: var(--pst-color-on-surface);\n  border: 0.125rem solid transparent;\n  border-radius: 0.125rem 0.125rem 0 0;\n  background-color: var(--pst-color-surface);\n  padding: 0 0.75em;\n  margin-inline-end: 0.25rem;\n  line-height: 1.95;\n}\nhtml[data-theme=dark] .bd-content .sd-tab-set > label {\n  background-color: var(--pst-color-on-background);\n}\n.bd-content .sd-tab-set .sd-tab-content {\n  border: 0.125rem solid var(--pst-color-primary);\n  border-radius: 0.1875rem;\n  box-shadow: unset;\n  padding: 0.625rem;\n  background-color: var(--pst-color-on-background);\n}\n\n/*******************************************************************************\n* Dropdowns\n*/\ndetails.sd-dropdown {\n  border: 0 !important;\n  box-shadow: 0 0.2rem 0.5rem var(--pst-color-shadow), 0 0 0.0625rem var(--pst-color-shadow) !important;\n}\ndetails.sd-dropdown summary.sd-card-header {\n  border: 0 !important;\n  display: flex;\n  align-items: center;\n  position: relative;\n  font-weight: 600;\n  padding-top: 0.5rem;\n  padding-bottom: 0.5rem;\n  --pst-sd-dropdown-color: var(--pst-gray-500);\n  --pst-sd-dropdown-bg-color: var(--pst-color-surface);\n  background-color: var(--pst-sd-dropdown-bg-color) !important;\n  border-left: 0.2rem solid var(--pst-sd-dropdown-color) !important;\n}\ndetails.sd-dropdown summary.sd-card-header + div.sd-summary-content {\n  border: 0;\n  --pst-sd-dropdown-color: var(--sd-color-card-border);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-primary {\n  --pst-sd-dropdown-color: var(--sd-color-primary);\n  --pst-sd-dropdown-bg-color: var(--sd-color-primary-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-primary + div.sd-summary-content {\n  --pst-sd-dropdown-color: var(--sd-color-primary);\n  --pst-sd-dropdown-bg-color: var(--sd-color-primary-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-text-primary {\n  color: var(--sd-color-primary-bg-text) !important;\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-secondary {\n  --pst-sd-dropdown-color: var(--sd-color-secondary);\n  --pst-sd-dropdown-bg-color: var(--sd-color-secondary-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-secondary + div.sd-summary-content {\n  --pst-sd-dropdown-color: var(--sd-color-secondary);\n  --pst-sd-dropdown-bg-color: var(--sd-color-secondary-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-text-secondary {\n  color: var(--sd-color-secondary-bg-text) !important;\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-success {\n  --pst-sd-dropdown-color: var(--sd-color-success);\n  --pst-sd-dropdown-bg-color: var(--sd-color-success-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-success + div.sd-summary-content {\n  --pst-sd-dropdown-color: var(--sd-color-success);\n  --pst-sd-dropdown-bg-color: var(--sd-color-success-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-text-success {\n  color: var(--sd-color-success-bg-text) !important;\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-info {\n  --pst-sd-dropdown-color: var(--sd-color-info);\n  --pst-sd-dropdown-bg-color: var(--sd-color-info-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-info + div.sd-summary-content {\n  --pst-sd-dropdown-color: var(--sd-color-info);\n  --pst-sd-dropdown-bg-color: var(--sd-color-info-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-text-info {\n  color: var(--sd-color-info-bg-text) !important;\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-warning {\n  --pst-sd-dropdown-color: var(--sd-color-warning);\n  --pst-sd-dropdown-bg-color: var(--sd-color-warning-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-warning + div.sd-summary-content {\n  --pst-sd-dropdown-color: var(--sd-color-warning);\n  --pst-sd-dropdown-bg-color: var(--sd-color-warning-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-text-warning {\n  color: var(--sd-color-warning-bg-text) !important;\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-danger {\n  --pst-sd-dropdown-color: var(--sd-color-danger);\n  --pst-sd-dropdown-bg-color: var(--sd-color-danger-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-danger + div.sd-summary-content {\n  --pst-sd-dropdown-color: var(--sd-color-danger);\n  --pst-sd-dropdown-bg-color: var(--sd-color-danger-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-text-danger {\n  color: var(--sd-color-danger-bg-text) !important;\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-light {\n  --pst-sd-dropdown-color: var(--sd-color-light);\n  --pst-sd-dropdown-bg-color: var(--sd-color-light-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-light + div.sd-summary-content {\n  --pst-sd-dropdown-color: var(--sd-color-light);\n  --pst-sd-dropdown-bg-color: var(--sd-color-light-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-text-light {\n  color: var(--sd-color-light-bg-text) !important;\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-muted {\n  --pst-sd-dropdown-color: var(--sd-color-muted);\n  --pst-sd-dropdown-bg-color: var(--sd-color-muted-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-muted + div.sd-summary-content {\n  --pst-sd-dropdown-color: var(--sd-color-muted);\n  --pst-sd-dropdown-bg-color: var(--sd-color-muted-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-text-muted {\n  color: var(--sd-color-muted-bg-text) !important;\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-dark {\n  --pst-sd-dropdown-color: var(--sd-color-dark);\n  --pst-sd-dropdown-bg-color: var(--sd-color-dark-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-dark + div.sd-summary-content {\n  --pst-sd-dropdown-color: var(--sd-color-dark);\n  --pst-sd-dropdown-bg-color: var(--sd-color-dark-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-text-dark {\n  color: var(--sd-color-dark-bg-text) !important;\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-black {\n  --pst-sd-dropdown-color: var(--sd-color-black);\n  --pst-sd-dropdown-bg-color: var(--sd-color-black-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-black + div.sd-summary-content {\n  --pst-sd-dropdown-color: var(--sd-color-black);\n  --pst-sd-dropdown-bg-color: var(--sd-color-black-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-text-black {\n  color: var(--sd-color-black-bg-text) !important;\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-white {\n  --pst-sd-dropdown-color: var(--sd-color-white);\n  --pst-sd-dropdown-bg-color: var(--sd-color-white-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-white + div.sd-summary-content {\n  --pst-sd-dropdown-color: var(--sd-color-white);\n  --pst-sd-dropdown-bg-color: var(--sd-color-white-bg);\n}\ndetails.sd-dropdown summary.sd-card-header.sd-bg-text-white {\n  color: var(--sd-color-white-bg-text) !important;\n}\ndetails.sd-dropdown summary.sd-card-header::before {\n  content: \"\";\n  width: 100%;\n  height: 100%;\n  position: absolute;\n  left: 0;\n  top: 0;\n  z-index: -1;\n  pointer-events: none;\n}\ndetails.sd-dropdown summary.sd-card-header + div.sd-summary-content {\n  border-left: 0.2rem solid var(--pst-sd-dropdown-color) !important;\n  border-bottom-left-radius: calc(0.25rem - 1px);\n  background-color: var(--pst-color-on-background);\n}\ndetails.sd-dropdown summary.sd-card-header span.sd-summary-icon {\n  display: inline-flex;\n  align-items: center;\n  color: var(--pst-sd-dropdown-color) !important;\n}\ndetails.sd-dropdown summary.sd-card-header span.sd-summary-icon svg {\n  opacity: 1;\n}\ndetails.sd-dropdown summary.sd-card-header .sd-summary-up,\ndetails.sd-dropdown summary.sd-card-header .sd-summary-down {\n  top: 0.7rem;\n}\ndetails.sd-dropdown summary.sd-card-header:focus-visible {\n  outline: var(--pst-color-accent) solid 0.1875rem;\n  outline-offset: -0.1875rem;\n}\n\n/*******************************************************************************\n* Buttons (which in Sphinx Design are actually links that look like buttons)\n* ref: https://sphinx-design.readthedocs.io/en/pydata-theme/badges_buttons.html#buttons\n*/\nhtml .sd-btn {\n  min-width: 2.25rem;\n  padding: 0.3125rem 0.75rem 0.4375rem;\n}\nhtml .sd-btn:hover {\n  text-decoration: underline;\n  text-decoration-thickness: max(1px, .0625rem);\n  text-underline-offset: 0.1578em;\n  text-decoration-thickness: max(3px, .1875rem, .12em);\n  text-decoration-skip-ink: none;\n  color: var(--pst-color-link-hover);\n  text-decoration-thickness: 1px;\n}\nhtml .sd-btn-primary:hover {\n  color: var(--pst-color-primary-highlight-text) !important;\n}\nhtml .sd-btn-secondary:hover {\n  color: var(--pst-color-secondary-highlight-text) !important;\n}\nhtml .sd-btn-success:hover {\n  color: var(--pst-color-success-highlight-text) !important;\n}\nhtml .sd-btn-info:hover {\n  color: var(--pst-color-info-highlight-text) !important;\n}\nhtml .sd-btn-warning:hover {\n  color: var(--pst-color-warning-highlight-text) !important;\n}\nhtml .sd-btn-danger:hover {\n  color: var(--pst-color-danger-highlight-text) !important;\n}\nhtml .sd-btn-light:hover {\n  color: var(--pst-color-light-highlight-text) !important;\n}\nhtml .sd-btn-muted:hover {\n  color: var(--pst-color-muted-highlight-text) !important;\n}\nhtml .sd-btn-dark:hover {\n  color: var(--pst-color-dark-highlight-text) !important;\n}\nhtml .sd-btn-black:hover {\n  color: var(--pst-color-black-highlight-text) !important;\n}\nhtml .sd-btn-white:hover {\n  color: var(--pst-color-white-highlight-text) !important;\n}\nhtml .sd-btn-primary:focus-visible,\nhtml .sd-btn-outline-primary:focus-visible {\n  background-color: var(--sd-color-primary) !important;\n  border-color: var(--sd-color-primary) !important;\n  outline: var(--sd-color-primary) solid 0.1875rem;\n  outline-offset: 0.1875rem;\n}\nhtml .sd-btn-secondary:focus-visible,\nhtml .sd-btn-outline-secondary:focus-visible {\n  background-color: var(--sd-color-secondary) !important;\n  border-color: var(--sd-color-secondary) !important;\n  outline: var(--sd-color-secondary) solid 0.1875rem;\n  outline-offset: 0.1875rem;\n}\nhtml .sd-btn-success:focus-visible,\nhtml .sd-btn-outline-success:focus-visible {\n  background-color: var(--sd-color-success) !important;\n  border-color: var(--sd-color-success) !important;\n  outline: var(--sd-color-success) solid 0.1875rem;\n  outline-offset: 0.1875rem;\n}\nhtml .sd-btn-info:focus-visible,\nhtml .sd-btn-outline-info:focus-visible {\n  background-color: var(--sd-color-info) !important;\n  border-color: var(--sd-color-info) !important;\n  outline: var(--sd-color-info) solid 0.1875rem;\n  outline-offset: 0.1875rem;\n}\nhtml .sd-btn-warning:focus-visible,\nhtml .sd-btn-outline-warning:focus-visible {\n  background-color: var(--sd-color-warning) !important;\n  border-color: var(--sd-color-warning) !important;\n  outline: var(--sd-color-warning) solid 0.1875rem;\n  outline-offset: 0.1875rem;\n}\nhtml .sd-btn-danger:focus-visible,\nhtml .sd-btn-outline-danger:focus-visible {\n  background-color: var(--sd-color-danger) !important;\n  border-color: var(--sd-color-danger) !important;\n  outline: var(--sd-color-danger) solid 0.1875rem;\n  outline-offset: 0.1875rem;\n}\nhtml .sd-btn-light:focus-visible,\nhtml .sd-btn-outline-light:focus-visible {\n  background-color: var(--sd-color-light) !important;\n  border-color: var(--sd-color-light) !important;\n  outline: var(--sd-color-light) solid 0.1875rem;\n  outline-offset: 0.1875rem;\n}\nhtml .sd-btn-muted:focus-visible,\nhtml .sd-btn-outline-muted:focus-visible {\n  background-color: var(--sd-color-muted) !important;\n  border-color: var(--sd-color-muted) !important;\n  outline: var(--sd-color-muted) solid 0.1875rem;\n  outline-offset: 0.1875rem;\n}\nhtml .sd-btn-dark:focus-visible,\nhtml .sd-btn-outline-dark:focus-visible {\n  background-color: var(--sd-color-dark) !important;\n  border-color: var(--sd-color-dark) !important;\n  outline: var(--sd-color-dark) solid 0.1875rem;\n  outline-offset: 0.1875rem;\n}\nhtml .sd-btn-black:focus-visible,\nhtml .sd-btn-outline-black:focus-visible {\n  background-color: var(--sd-color-black) !important;\n  border-color: var(--sd-color-black) !important;\n  outline: var(--sd-color-black) solid 0.1875rem;\n  outline-offset: 0.1875rem;\n}\nhtml .sd-btn-white:focus-visible,\nhtml .sd-btn-outline-white:focus-visible {\n  background-color: var(--sd-color-white) !important;\n  border-color: var(--sd-color-white) !important;\n  outline: var(--sd-color-white) solid 0.1875rem;\n  outline-offset: 0.1875rem;\n}\n\n/**\n * Sphinx togglebutton\n */\n.bd-content .admonition button.toggle-button {\n  color: inherit;\n}\n.bd-content .admonition button.toggle-button.toggle-button-hidden .toggle-chevron-right {\n  transform: rotate(90deg);\n  transition: none;\n}\n.bd-content .admonition button.toggle-button .toggle-chevron-right {\n  transform: rotate(-90deg);\n  transition: none;\n}\n.bd-content .admonition:focus-within {\n  overflow: visible;\n}\n.bd-content .admonition:focus-within .admonition-title:focus-within::before {\n  content: \"\";\n  transform: translateX(-0.2rem);\n  width: calc(100% + 0.2rem);\n  height: 100%;\n  border: var(--pst-color-accent) solid 0.1875rem;\n  border-radius: 0.1875rem;\n}\n.bd-content .admonition:focus-within:not(.toggle-hidden) .admonition-title:focus-within::before {\n  border-bottom-left-radius: 0;\n  border-bottom-right-radius: 0;\n}\n.bd-content details.toggle-details summary {\n  border-left: 3px solid var(--pst-color-primary);\n}\n.bd-content details.toggle-details summary .toggle-chevron-right {\n  transform: rotate(90deg);\n  transition: none;\n}\n.bd-content details.toggle-details[open] .toggle-chevron-right {\n  transform: rotate(-90deg);\n  transition: none;\n}\n.bd-content details.toggle-details[open] :focus-visible {\n  border-bottom-left-radius: 0;\n  border-bottom-right-radius: 0;\n}\n\n/**\n * Styles for various Sphinx execution libraries to display pre-executed notebooks.\n * For now, where these define output sections, we simply revert their background\n * to be a \"light theme\" background. This ensures that inputs/outputs behave similarly,\n * because the CSS is often controlled by each package.\n * In the future, we might add dark theme support for specific packages.\n */\n/*******************************************************************************\n * nbsphinx\n */\nhtml div.rendered_html,\nhtml .jp-RenderedHTMLCommon {\n  margin: 0.1875rem;\n}\nhtml div.rendered_html table,\nhtml .jp-RenderedHTMLCommon table {\n  table-layout: auto;\n}\n\n.bd-content .nboutput .output_area.rendered_html table.dataframe,\n.bd-content .nboutput .output_area .jp-RenderedHTMLCommon table.dataframe {\n  color: var(--pst-color-table);\n  border: 1px solid var(--pst-color-table-outer-border);\n}\n.bd-content .nboutput .output_area.rendered_html table.dataframe th ~ th,\n.bd-content .nboutput .output_area.rendered_html table.dataframe th ~ td,\n.bd-content .nboutput .output_area.rendered_html table.dataframe td ~ th,\n.bd-content .nboutput .output_area.rendered_html table.dataframe td ~ td,\n.bd-content .nboutput .output_area .jp-RenderedHTMLCommon table.dataframe th ~ th,\n.bd-content .nboutput .output_area .jp-RenderedHTMLCommon table.dataframe th ~ td,\n.bd-content .nboutput .output_area .jp-RenderedHTMLCommon table.dataframe td ~ th,\n.bd-content .nboutput .output_area .jp-RenderedHTMLCommon table.dataframe td ~ td {\n  border-left: 1px solid var(--pst-color-table-inner-border);\n}\n.bd-content .nboutput .output_area.rendered_html table.dataframe thead tr,\n.bd-content .nboutput .output_area .jp-RenderedHTMLCommon table.dataframe thead tr {\n  background-color: var(--pst-color-table-heading-bg);\n  border-bottom: 2px solid var(--pst-color-primary);\n}\n.bd-content .nboutput .output_area.rendered_html table.dataframe tbody tr:nth-child(odd),\n.bd-content .nboutput .output_area .jp-RenderedHTMLCommon table.dataframe tbody tr:nth-child(odd) {\n  background-color: var(--pst-color-table-row-zebra-low-bg);\n}\n.bd-content .nboutput .output_area.rendered_html table.dataframe tbody tr:nth-child(even),\n.bd-content .nboutput .output_area .jp-RenderedHTMLCommon table.dataframe tbody tr:nth-child(even) {\n  background-color: var(--pst-color-table-row-zebra-high-bg);\n}\n.bd-content .nboutput .output_area.rendered_html table.dataframe tbody tr:hover,\n.bd-content .nboutput .output_area .jp-RenderedHTMLCommon table.dataframe tbody tr:hover {\n  background-color: var(--pst-color-table-row-hover-bg);\n}\nhtml[data-theme=dark] .bd-content .nboutput .output_area.rendered_html:not(:has(table.dataframe)),\nhtml[data-theme=dark] .bd-content .nboutput .output_area .widget-subarea {\n  color: var(--pst-color-on-background);\n  background-color: var(--pst-color-text-base);\n  border-radius: 0.25rem;\n  padding: 0.5rem;\n}\nhtml[data-theme=dark] .bd-content .nboutput .output_area.stderr {\n  background-color: var(--pst-color-danger);\n}\n\ndiv.nblast.container {\n  margin-bottom: 1rem;\n}\n\nhtml[data-theme=light] .nbinput.container .prompt pre {\n  color: #005b82;\n}\nhtml[data-theme=dark] .nbinput.container .prompt pre {\n  color: #00e0e0;\n}\n\nhtml[data-theme=light] .nboutput.container .prompt pre {\n  color: #a12236;\n}\nhtml[data-theme=dark] .nboutput.container .prompt pre {\n  color: #ffa07a;\n}\n\n/*******************************************************************************\n * myst NB\n */\ndiv.cell_output .output {\n  max-width: 100%;\n  overflow-x: auto;\n}\n\n.bd-content div.cell_output table.dataframe {\n  color: var(--pst-color-table);\n  border: 1px solid var(--pst-color-table-outer-border);\n}\n.bd-content div.cell_output table.dataframe th ~ th,\n.bd-content div.cell_output table.dataframe th ~ td,\n.bd-content div.cell_output table.dataframe td ~ th,\n.bd-content div.cell_output table.dataframe td ~ td {\n  border-left: 1px solid var(--pst-color-table-inner-border);\n}\n.bd-content div.cell_output table.dataframe thead tr {\n  background-color: var(--pst-color-table-heading-bg);\n  border-bottom: 2px solid var(--pst-color-primary);\n}\n.bd-content div.cell_output table.dataframe tbody tr:nth-child(odd) {\n  background-color: var(--pst-color-table-row-zebra-low-bg);\n}\n.bd-content div.cell_output table.dataframe tbody tr:nth-child(even) {\n  background-color: var(--pst-color-table-row-zebra-high-bg);\n}\n.bd-content div.cell_output table.dataframe tbody tr:hover {\n  background-color: var(--pst-color-table-row-hover-bg);\n}\nhtml[data-theme=dark] .bd-content div.cell_output img,\nhtml[data-theme=dark] .bd-content div.cell_output .text_html:not(:has(table.dataframe)),\nhtml[data-theme=dark] .bd-content div.cell_output .widget-subarea {\n  color: var(--pst-color-on-background);\n  background-color: var(--pst-color-text-base);\n  border-radius: 0.25rem;\n  padding: 0.5rem;\n}\n\n.bd-content div.cell_input {\n  display: flex;\n  flex-direction: column;\n  justify-content: stretch;\n}\n.bd-content div.cell_input,\n.bd-content div.output {\n  border-radius: 0.25rem;\n}\n.bd-content div.output table {\n  table-layout: auto;\n}\n\n/**\n * style for the various mapping libs based on leaflet (folium, geemap, ipyleaflet)\n * mainly ensure the good display of the maps in both themes and avoid the customization\n * of the tiles\n */\n/**\n * avoid border override from pydata-sphinx-theme\n * minimal selctor to get the priority\n */\nhtml[data-theme=dark] .bd-content img.leaflet-tile.leaflet-tile-loaded {\n  border-radius: 0;\n  padding: 0;\n}\n\n/**\n * /search.html page special-cases\n */\n.bd-search-container {\n  /*******************************************\n  * Search results\n  */\n}\n.bd-search-container div#search-results > h2, .bd-search-container div#search-results > .h2 {\n  font-size: var(--pst-font-size-icon);\n  margin-top: 1rem;\n}\n.bd-search-container div#search-results p.search-summary {\n  color: var(--pst-color-text-muted);\n}\n.bd-search-container ul.search {\n  margin: 0;\n  list-style: none;\n}\n.bd-search-container ul.search li {\n  background-image: none;\n  padding: 1rem 0;\n  margin: 1rem 0;\n  border-top: 1px solid var(--pst-color-text-muted);\n}\n.bd-search-container ul.search li > a {\n  font-size: 1.2em;\n}\n.bd-search-container ul.search li div.context,\n.bd-search-container ul.search li p.context {\n  color: var(--pst-color-text-base);\n  margin: 0.5em 0 0;\n}\n.bd-search-container ul.search li div.context a::before,\n.bd-search-container ul.search li p.context a::before {\n  content: \"#\";\n  padding-right: 0.2em;\n  color: var(--pst-color-text-muted);\n}","@mixin bsBanner($file) {\n  /*!\n   * Bootstrap #{$file} v5.3.3 (https://getbootstrap.com/)\n   * Copyright 2011-2024 The Bootstrap Authors\n   * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n   */\n}\n",":root,\n[data-bs-theme=\"light\"] {\n  // Note: Custom variable values only support SassScript inside `#{}`.\n\n  // Colors\n  //\n  // Generate palettes for full colors, grays, and theme colors.\n\n  @each $color, $value in $colors {\n    --#{$prefix}#{$color}: #{$value};\n  }\n\n  @each $color, $value in $grays {\n    --#{$prefix}gray-#{$color}: #{$value};\n  }\n\n  @each $color, $value in $theme-colors {\n    --#{$prefix}#{$color}: #{$value};\n  }\n\n  @each $color, $value in $theme-colors-rgb {\n    --#{$prefix}#{$color}-rgb: #{$value};\n  }\n\n  @each $color, $value in $theme-colors-text {\n    --#{$prefix}#{$color}-text-emphasis: #{$value};\n  }\n\n  @each $color, $value in $theme-colors-bg-subtle {\n    --#{$prefix}#{$color}-bg-subtle: #{$value};\n  }\n\n  @each $color, $value in $theme-colors-border-subtle {\n    --#{$prefix}#{$color}-border-subtle: #{$value};\n  }\n\n  --#{$prefix}white-rgb: #{to-rgb($white)};\n  --#{$prefix}black-rgb: #{to-rgb($black)};\n\n  // Fonts\n\n  // Note: Use `inspect` for lists so that quoted items keep the quotes.\n  // See https://github.com/sass/sass/issues/2383#issuecomment-336349172\n  --#{$prefix}font-sans-serif: #{inspect($font-family-sans-serif)};\n  --#{$prefix}font-monospace: #{inspect($font-family-monospace)};\n  --#{$prefix}gradient: #{$gradient};\n\n  // Root and body\n  // scss-docs-start root-body-variables\n  @if $font-size-root != null {\n    --#{$prefix}root-font-size: #{$font-size-root};\n  }\n  --#{$prefix}body-font-family: #{inspect($font-family-base)};\n  @include rfs($font-size-base, --#{$prefix}body-font-size);\n  --#{$prefix}body-font-weight: #{$font-weight-base};\n  --#{$prefix}body-line-height: #{$line-height-base};\n  @if $body-text-align != null {\n    --#{$prefix}body-text-align: #{$body-text-align};\n  }\n\n  --#{$prefix}body-color: #{$body-color};\n  --#{$prefix}body-color-rgb: #{to-rgb($body-color)};\n  --#{$prefix}body-bg: #{$body-bg};\n  --#{$prefix}body-bg-rgb: #{to-rgb($body-bg)};\n\n  --#{$prefix}emphasis-color: #{$body-emphasis-color};\n  --#{$prefix}emphasis-color-rgb: #{to-rgb($body-emphasis-color)};\n\n  --#{$prefix}secondary-color: #{$body-secondary-color};\n  --#{$prefix}secondary-color-rgb: #{to-rgb($body-secondary-color)};\n  --#{$prefix}secondary-bg: #{$body-secondary-bg};\n  --#{$prefix}secondary-bg-rgb: #{to-rgb($body-secondary-bg)};\n\n  --#{$prefix}tertiary-color: #{$body-tertiary-color};\n  --#{$prefix}tertiary-color-rgb: #{to-rgb($body-tertiary-color)};\n  --#{$prefix}tertiary-bg: #{$body-tertiary-bg};\n  --#{$prefix}tertiary-bg-rgb: #{to-rgb($body-tertiary-bg)};\n  // scss-docs-end root-body-variables\n\n  --#{$prefix}heading-color: #{$headings-color};\n\n  --#{$prefix}link-color: #{$link-color};\n  --#{$prefix}link-color-rgb: #{to-rgb($link-color)};\n  --#{$prefix}link-decoration: #{$link-decoration};\n\n  --#{$prefix}link-hover-color: #{$link-hover-color};\n  --#{$prefix}link-hover-color-rgb: #{to-rgb($link-hover-color)};\n\n  @if $link-hover-decoration != null {\n    --#{$prefix}link-hover-decoration: #{$link-hover-decoration};\n  }\n\n  --#{$prefix}code-color: #{$code-color};\n  --#{$prefix}highlight-color: #{$mark-color};\n  --#{$prefix}highlight-bg: #{$mark-bg};\n\n  // scss-docs-start root-border-var\n  --#{$prefix}border-width: #{$border-width};\n  --#{$prefix}border-style: #{$border-style};\n  --#{$prefix}border-color: #{$border-color};\n  --#{$prefix}border-color-translucent: #{$border-color-translucent};\n\n  --#{$prefix}border-radius: #{$border-radius};\n  --#{$prefix}border-radius-sm: #{$border-radius-sm};\n  --#{$prefix}border-radius-lg: #{$border-radius-lg};\n  --#{$prefix}border-radius-xl: #{$border-radius-xl};\n  --#{$prefix}border-radius-xxl: #{$border-radius-xxl};\n  --#{$prefix}border-radius-2xl: var(--#{$prefix}border-radius-xxl); // Deprecated in v5.3.0 for consistency\n  --#{$prefix}border-radius-pill: #{$border-radius-pill};\n  // scss-docs-end root-border-var\n\n  --#{$prefix}box-shadow: #{$box-shadow};\n  --#{$prefix}box-shadow-sm: #{$box-shadow-sm};\n  --#{$prefix}box-shadow-lg: #{$box-shadow-lg};\n  --#{$prefix}box-shadow-inset: #{$box-shadow-inset};\n\n  // Focus styles\n  // scss-docs-start root-focus-variables\n  --#{$prefix}focus-ring-width: #{$focus-ring-width};\n  --#{$prefix}focus-ring-opacity: #{$focus-ring-opacity};\n  --#{$prefix}focus-ring-color: #{$focus-ring-color};\n  // scss-docs-end root-focus-variables\n\n  // scss-docs-start root-form-validation-variables\n  --#{$prefix}form-valid-color: #{$form-valid-color};\n  --#{$prefix}form-valid-border-color: #{$form-valid-border-color};\n  --#{$prefix}form-invalid-color: #{$form-invalid-color};\n  --#{$prefix}form-invalid-border-color: #{$form-invalid-border-color};\n  // scss-docs-end root-form-validation-variables\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark, true) {\n    color-scheme: dark;\n\n    // scss-docs-start root-dark-mode-vars\n    --#{$prefix}body-color: #{$body-color-dark};\n    --#{$prefix}body-color-rgb: #{to-rgb($body-color-dark)};\n    --#{$prefix}body-bg: #{$body-bg-dark};\n    --#{$prefix}body-bg-rgb: #{to-rgb($body-bg-dark)};\n\n    --#{$prefix}emphasis-color: #{$body-emphasis-color-dark};\n    --#{$prefix}emphasis-color-rgb: #{to-rgb($body-emphasis-color-dark)};\n\n    --#{$prefix}secondary-color: #{$body-secondary-color-dark};\n    --#{$prefix}secondary-color-rgb: #{to-rgb($body-secondary-color-dark)};\n    --#{$prefix}secondary-bg: #{$body-secondary-bg-dark};\n    --#{$prefix}secondary-bg-rgb: #{to-rgb($body-secondary-bg-dark)};\n\n    --#{$prefix}tertiary-color: #{$body-tertiary-color-dark};\n    --#{$prefix}tertiary-color-rgb: #{to-rgb($body-tertiary-color-dark)};\n    --#{$prefix}tertiary-bg: #{$body-tertiary-bg-dark};\n    --#{$prefix}tertiary-bg-rgb: #{to-rgb($body-tertiary-bg-dark)};\n\n    @each $color, $value in $theme-colors-text-dark {\n      --#{$prefix}#{$color}-text-emphasis: #{$value};\n    }\n\n    @each $color, $value in $theme-colors-bg-subtle-dark {\n      --#{$prefix}#{$color}-bg-subtle: #{$value};\n    }\n\n    @each $color, $value in $theme-colors-border-subtle-dark {\n      --#{$prefix}#{$color}-border-subtle: #{$value};\n    }\n\n    --#{$prefix}heading-color: #{$headings-color-dark};\n\n    --#{$prefix}link-color: #{$link-color-dark};\n    --#{$prefix}link-hover-color: #{$link-hover-color-dark};\n    --#{$prefix}link-color-rgb: #{to-rgb($link-color-dark)};\n    --#{$prefix}link-hover-color-rgb: #{to-rgb($link-hover-color-dark)};\n\n    --#{$prefix}code-color: #{$code-color-dark};\n    --#{$prefix}highlight-color: #{$mark-color-dark};\n    --#{$prefix}highlight-bg: #{$mark-bg-dark};\n\n    --#{$prefix}border-color: #{$border-color-dark};\n    --#{$prefix}border-color-translucent: #{$border-color-translucent-dark};\n\n    --#{$prefix}form-valid-color: #{$form-valid-color-dark};\n    --#{$prefix}form-valid-border-color: #{$form-valid-border-color-dark};\n    --#{$prefix}form-invalid-color: #{$form-invalid-color-dark};\n    --#{$prefix}form-invalid-border-color: #{$form-invalid-border-color-dark};\n    // scss-docs-end root-dark-mode-vars\n  }\n}\n","// stylelint-disable scss/dimension-no-non-numeric-values\n\n// SCSS RFS mixin\n//\n// Automated responsive values for font sizes, paddings, margins and much more\n//\n// Licensed under MIT (https://github.com/twbs/rfs/blob/main/LICENSE)\n\n// Configuration\n\n// Base value\n$rfs-base-value: 1.25rem !default;\n$rfs-unit: rem !default;\n\n@if $rfs-unit != rem and $rfs-unit != px {\n  @error \"`#{$rfs-unit}` is not a valid unit for $rfs-unit. Use `px` or `rem`.\";\n}\n\n// Breakpoint at where values start decreasing if screen width is smaller\n$rfs-breakpoint: 1200px !default;\n$rfs-breakpoint-unit: px !default;\n\n@if $rfs-breakpoint-unit != px and $rfs-breakpoint-unit != em and $rfs-breakpoint-unit != rem {\n  @error \"`#{$rfs-breakpoint-unit}` is not a valid unit for $rfs-breakpoint-unit. Use `px`, `em` or `rem`.\";\n}\n\n// Resize values based on screen height and width\n$rfs-two-dimensional: false !default;\n\n// Factor of decrease\n$rfs-factor: 10 !default;\n\n@if type-of($rfs-factor) != number or $rfs-factor <= 1 {\n  @error \"`#{$rfs-factor}` is not a valid  $rfs-factor, it must be greater than 1.\";\n}\n\n// Mode. Possibilities: \"min-media-query\", \"max-media-query\"\n$rfs-mode: min-media-query !default;\n\n// Generate enable or disable classes. Possibilities: false, \"enable\" or \"disable\"\n$rfs-class: false !default;\n\n// 1 rem = $rfs-rem-value px\n$rfs-rem-value: 16 !default;\n\n// Safari iframe resize bug: https://github.com/twbs/rfs/issues/14\n$rfs-safari-iframe-resize-bug-fix: false !default;\n\n// Disable RFS by setting $enable-rfs to false\n$enable-rfs: true !default;\n\n// Cache $rfs-base-value unit\n$rfs-base-value-unit: unit($rfs-base-value);\n\n@function divide($dividend, $divisor, $precision: 10) {\n  $sign: if($dividend > 0 and $divisor > 0 or $dividend < 0 and $divisor < 0, 1, -1);\n  $dividend: abs($dividend);\n  $divisor: abs($divisor);\n  @if $dividend == 0 {\n    @return 0;\n  }\n  @if $divisor == 0 {\n    @error \"Cannot divide by 0\";\n  }\n  $remainder: $dividend;\n  $result: 0;\n  $factor: 10;\n  @while ($remainder > 0 and $precision >= 0) {\n    $quotient: 0;\n    @while ($remainder >= $divisor) {\n      $remainder: $remainder - $divisor;\n      $quotient: $quotient + 1;\n    }\n    $result: $result * 10 + $quotient;\n    $factor: $factor * .1;\n    $remainder: $remainder * 10;\n    $precision: $precision - 1;\n    @if ($precision < 0 and $remainder >= $divisor * 5) {\n      $result: $result + 1;\n    }\n  }\n  $result: $result * $factor * $sign;\n  $dividend-unit: unit($dividend);\n  $divisor-unit: unit($divisor);\n  $unit-map: (\n    \"px\": 1px,\n    \"rem\": 1rem,\n    \"em\": 1em,\n    \"%\": 1%\n  );\n  @if ($dividend-unit != $divisor-unit and map-has-key($unit-map, $dividend-unit)) {\n    $result: $result * map-get($unit-map, $dividend-unit);\n  }\n  @return $result;\n}\n\n// Remove px-unit from $rfs-base-value for calculations\n@if $rfs-base-value-unit == px {\n  $rfs-base-value: divide($rfs-base-value, $rfs-base-value * 0 + 1);\n}\n@else if $rfs-base-value-unit == rem {\n  $rfs-base-value: divide($rfs-base-value, divide($rfs-base-value * 0 + 1, $rfs-rem-value));\n}\n\n// Cache $rfs-breakpoint unit to prevent multiple calls\n$rfs-breakpoint-unit-cache: unit($rfs-breakpoint);\n\n// Remove unit from $rfs-breakpoint for calculations\n@if $rfs-breakpoint-unit-cache == px {\n  $rfs-breakpoint: divide($rfs-breakpoint, $rfs-breakpoint * 0 + 1);\n}\n@else if $rfs-breakpoint-unit-cache == rem or $rfs-breakpoint-unit-cache == \"em\" {\n  $rfs-breakpoint: divide($rfs-breakpoint, divide($rfs-breakpoint * 0 + 1, $rfs-rem-value));\n}\n\n// Calculate the media query value\n$rfs-mq-value: if($rfs-breakpoint-unit == px, #{$rfs-breakpoint}px, #{divide($rfs-breakpoint, $rfs-rem-value)}#{$rfs-breakpoint-unit});\n$rfs-mq-property-width: if($rfs-mode == max-media-query, max-width, min-width);\n$rfs-mq-property-height: if($rfs-mode == max-media-query, max-height, min-height);\n\n// Internal mixin used to determine which media query needs to be used\n@mixin _rfs-media-query {\n  @if $rfs-two-dimensional {\n    @if $rfs-mode == max-media-query {\n      @media (#{$rfs-mq-property-width}: #{$rfs-mq-value}), (#{$rfs-mq-property-height}: #{$rfs-mq-value}) {\n        @content;\n      }\n    }\n    @else {\n      @media (#{$rfs-mq-property-width}: #{$rfs-mq-value}) and (#{$rfs-mq-property-height}: #{$rfs-mq-value}) {\n        @content;\n      }\n    }\n  }\n  @else {\n    @media (#{$rfs-mq-property-width}: #{$rfs-mq-value}) {\n      @content;\n    }\n  }\n}\n\n// Internal mixin that adds disable classes to the selector if needed.\n@mixin _rfs-rule {\n  @if $rfs-class == disable and $rfs-mode == max-media-query {\n    // Adding an extra class increases specificity, which prevents the media query to override the property\n    &,\n    .disable-rfs &,\n    &.disable-rfs {\n      @content;\n    }\n  }\n  @else if $rfs-class == enable and $rfs-mode == min-media-query {\n    .enable-rfs &,\n    &.enable-rfs {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Internal mixin that adds enable classes to the selector if needed.\n@mixin _rfs-media-query-rule {\n\n  @if $rfs-class == enable {\n    @if $rfs-mode == min-media-query {\n      @content;\n    }\n\n    @include _rfs-media-query () {\n      .enable-rfs &,\n      &.enable-rfs {\n        @content;\n      }\n    }\n  }\n  @else {\n    @if $rfs-class == disable and $rfs-mode == min-media-query {\n      .disable-rfs &,\n      &.disable-rfs {\n        @content;\n      }\n    }\n    @include _rfs-media-query () {\n      @content;\n    }\n  }\n}\n\n// Helper function to get the formatted non-responsive value\n@function rfs-value($values) {\n  // Convert to list\n  $values: if(type-of($values) != list, ($values,), $values);\n\n  $val: \"\";\n\n  // Loop over each value and calculate value\n  @each $value in $values {\n    @if $value == 0 {\n      $val: $val + \" 0\";\n    }\n    @else {\n      // Cache $value unit\n      $unit: if(type-of($value) == \"number\", unit($value), false);\n\n      @if $unit == px {\n        // Convert to rem if needed\n        $val: $val + \" \" + if($rfs-unit == rem, #{divide($value, $value * 0 + $rfs-rem-value)}rem, $value);\n      }\n      @else if $unit == rem {\n        // Convert to px if needed\n        $val: $val + \" \" + if($rfs-unit == px, #{divide($value, $value * 0 + 1) * $rfs-rem-value}px, $value);\n      } @else {\n        // If $value isn't a number (like inherit) or $value has a unit (not px or rem, like 1.5em) or $ is 0, just print the value\n        $val: $val + \" \" + $value;\n      }\n    }\n  }\n\n  // Remove first space\n  @return unquote(str-slice($val, 2));\n}\n\n// Helper function to get the responsive value calculated by RFS\n@function rfs-fluid-value($values) {\n  // Convert to list\n  $values: if(type-of($values) != list, ($values,), $values);\n\n  $val: \"\";\n\n  // Loop over each value and calculate value\n  @each $value in $values {\n    @if $value == 0 {\n      $val: $val + \" 0\";\n    } @else {\n      // Cache $value unit\n      $unit: if(type-of($value) == \"number\", unit($value), false);\n\n      // If $value isn't a number (like inherit) or $value has a unit (not px or rem, like 1.5em) or $ is 0, just print the value\n      @if not $unit or $unit != px and $unit != rem {\n        $val: $val + \" \" + $value;\n      } @else {\n        // Remove unit from $value for calculations\n        $value: divide($value, $value * 0 + if($unit == px, 1, divide(1, $rfs-rem-value)));\n\n        // Only add the media query if the value is greater than the minimum value\n        @if abs($value) <= $rfs-base-value or not $enable-rfs {\n          $val: $val + \" \" + if($rfs-unit == rem, #{divide($value, $rfs-rem-value)}rem, #{$value}px);\n        }\n        @else {\n          // Calculate the minimum value\n          $value-min: $rfs-base-value + divide(abs($value) - $rfs-base-value, $rfs-factor);\n\n          // Calculate difference between $value and the minimum value\n          $value-diff: abs($value) - $value-min;\n\n          // Base value formatting\n          $min-width: if($rfs-unit == rem, #{divide($value-min, $rfs-rem-value)}rem, #{$value-min}px);\n\n          // Use negative value if needed\n          $min-width: if($value < 0, -$min-width, $min-width);\n\n          // Use `vmin` if two-dimensional is enabled\n          $variable-unit: if($rfs-two-dimensional, vmin, vw);\n\n          // Calculate the variable width between 0 and $rfs-breakpoint\n          $variable-width: #{divide($value-diff * 100, $rfs-breakpoint)}#{$variable-unit};\n\n          // Return the calculated value\n          $val: $val + \" calc(\" + $min-width + if($value < 0, \" - \", \" + \") + $variable-width + \")\";\n        }\n      }\n    }\n  }\n\n  // Remove first space\n  @return unquote(str-slice($val, 2));\n}\n\n// RFS mixin\n@mixin rfs($values, $property: font-size) {\n  @if $values != null {\n    $val: rfs-value($values);\n    $fluid-val: rfs-fluid-value($values);\n\n    // Do not print the media query if responsive & non-responsive values are the same\n    @if $val == $fluid-val {\n      #{$property}: $val;\n    }\n    @else {\n      @include _rfs-rule () {\n        #{$property}: if($rfs-mode == max-media-query, $val, $fluid-val);\n\n        // Include safari iframe resize fix if needed\n        min-width: if($rfs-safari-iframe-resize-bug-fix, (0 * 1vw), null);\n      }\n\n      @include _rfs-media-query-rule () {\n        #{$property}: if($rfs-mode == max-media-query, $fluid-val, $val);\n      }\n    }\n  }\n}\n\n// Shorthand helper mixins\n@mixin font-size($value) {\n  @include rfs($value);\n}\n\n@mixin padding($value) {\n  @include rfs($value, padding);\n}\n\n@mixin padding-top($value) {\n  @include rfs($value, padding-top);\n}\n\n@mixin padding-right($value) {\n  @include rfs($value, padding-right);\n}\n\n@mixin padding-bottom($value) {\n  @include rfs($value, padding-bottom);\n}\n\n@mixin padding-left($value) {\n  @include rfs($value, padding-left);\n}\n\n@mixin margin($value) {\n  @include rfs($value, margin);\n}\n\n@mixin margin-top($value) {\n  @include rfs($value, margin-top);\n}\n\n@mixin margin-right($value) {\n  @include rfs($value, margin-right);\n}\n\n@mixin margin-bottom($value) {\n  @include rfs($value, margin-bottom);\n}\n\n@mixin margin-left($value) {\n  @include rfs($value, margin-left);\n}\n","// scss-docs-start color-mode-mixin\n@mixin color-mode($mode: light, $root: false) {\n  @if $color-mode-type == \"media-query\" {\n    @if $root == true {\n      @media (prefers-color-scheme: $mode) {\n        :root {\n          @content;\n        }\n      }\n    } @else {\n      @media (prefers-color-scheme: $mode) {\n        @content;\n      }\n    }\n  } @else {\n    [data-bs-theme=\"#{$mode}\"] {\n      @content;\n    }\n  }\n}\n// scss-docs-end color-mode-mixin\n","// stylelint-disable declaration-no-important, selector-no-qualifying-type, property-no-vendor-prefix\n\n\n// Reboot\n//\n// Normalization of HTML elements, manually forked from Normalize.css to remove\n// styles targeting irrelevant browsers while applying new styles.\n//\n// Normalize is licensed MIT. https://github.com/necolas/normalize.css\n\n\n// Document\n//\n// Change from `box-sizing: content-box` so that `width` is not affected by `padding` or `border`.\n\n*,\n*::before,\n*::after {\n  box-sizing: border-box;\n}\n\n\n// Root\n//\n// Ability to the value of the root font sizes, affecting the value of `rem`.\n// null by default, thus nothing is generated.\n\n:root {\n  @if $font-size-root != null {\n    @include font-size(var(--#{$prefix}root-font-size));\n  }\n\n  @if $enable-smooth-scroll {\n    @media (prefers-reduced-motion: no-preference) {\n      scroll-behavior: smooth;\n    }\n  }\n}\n\n\n// Body\n//\n// 1. Remove the margin in all browsers.\n// 2. As a best practice, apply a default `background-color`.\n// 3. Prevent adjustments of font size after orientation changes in iOS.\n// 4. Change the default tap highlight to be completely transparent in iOS.\n\n// scss-docs-start reboot-body-rules\nbody {\n  margin: 0; // 1\n  font-family: var(--#{$prefix}body-font-family);\n  @include font-size(var(--#{$prefix}body-font-size));\n  font-weight: var(--#{$prefix}body-font-weight);\n  line-height: var(--#{$prefix}body-line-height);\n  color: var(--#{$prefix}body-color);\n  text-align: var(--#{$prefix}body-text-align);\n  background-color: var(--#{$prefix}body-bg); // 2\n  -webkit-text-size-adjust: 100%; // 3\n  -webkit-tap-highlight-color: rgba($black, 0); // 4\n}\n// scss-docs-end reboot-body-rules\n\n\n// Content grouping\n//\n// 1. Reset Firefox's gray color\n\nhr {\n  margin: $hr-margin-y 0;\n  color: $hr-color; // 1\n  border: 0;\n  border-top: $hr-border-width solid $hr-border-color;\n  opacity: $hr-opacity;\n}\n\n\n// Typography\n//\n// 1. Remove top margins from headings\n//    By default, `<h1>`-`<h6>` all receive top and bottom margins. We nuke the top\n//    margin for easier control within type scales as it avoids margin collapsing.\n\n%heading {\n  margin-top: 0; // 1\n  margin-bottom: $headings-margin-bottom;\n  font-family: $headings-font-family;\n  font-style: $headings-font-style;\n  font-weight: $headings-font-weight;\n  line-height: $headings-line-height;\n  color: var(--#{$prefix}heading-color);\n}\n\nh1 {\n  @extend %heading;\n  @include font-size($h1-font-size);\n}\n\nh2 {\n  @extend %heading;\n  @include font-size($h2-font-size);\n}\n\nh3 {\n  @extend %heading;\n  @include font-size($h3-font-size);\n}\n\nh4 {\n  @extend %heading;\n  @include font-size($h4-font-size);\n}\n\nh5 {\n  @extend %heading;\n  @include font-size($h5-font-size);\n}\n\nh6 {\n  @extend %heading;\n  @include font-size($h6-font-size);\n}\n\n\n// Reset margins on paragraphs\n//\n// Similarly, the top margin on `<p>`s get reset. However, we also reset the\n// bottom margin to use `rem` units instead of `em`.\n\np {\n  margin-top: 0;\n  margin-bottom: $paragraph-margin-bottom;\n}\n\n\n// Abbreviations\n//\n// 1. Add the correct text decoration in Chrome, Edge, Opera, and Safari.\n// 2. Add explicit cursor to indicate changed behavior.\n// 3. Prevent the text-decoration to be skipped.\n\nabbr[title] {\n  text-decoration: underline dotted; // 1\n  cursor: help; // 2\n  text-decoration-skip-ink: none; // 3\n}\n\n\n// Address\n\naddress {\n  margin-bottom: 1rem;\n  font-style: normal;\n  line-height: inherit;\n}\n\n\n// Lists\n\nol,\nul {\n  padding-left: 2rem;\n}\n\nol,\nul,\ndl {\n  margin-top: 0;\n  margin-bottom: 1rem;\n}\n\nol ol,\nul ul,\nol ul,\nul ol {\n  margin-bottom: 0;\n}\n\ndt {\n  font-weight: $dt-font-weight;\n}\n\n// 1. Undo browser default\n\ndd {\n  margin-bottom: .5rem;\n  margin-left: 0; // 1\n}\n\n\n// Blockquote\n\nblockquote {\n  margin: 0 0 1rem;\n}\n\n\n// Strong\n//\n// Add the correct font weight in Chrome, Edge, and Safari\n\nb,\nstrong {\n  font-weight: $font-weight-bolder;\n}\n\n\n// Small\n//\n// Add the correct font size in all browsers\n\nsmall {\n  @include font-size($small-font-size);\n}\n\n\n// Mark\n\nmark {\n  padding: $mark-padding;\n  color: var(--#{$prefix}highlight-color);\n  background-color: var(--#{$prefix}highlight-bg);\n}\n\n\n// Sub and Sup\n//\n// Prevent `sub` and `sup` elements from affecting the line height in\n// all browsers.\n\nsub,\nsup {\n  position: relative;\n  @include font-size($sub-sup-font-size);\n  line-height: 0;\n  vertical-align: baseline;\n}\n\nsub { bottom: -.25em; }\nsup { top: -.5em; }\n\n\n// Links\n\na {\n  color: rgba(var(--#{$prefix}link-color-rgb), var(--#{$prefix}link-opacity, 1));\n  text-decoration: $link-decoration;\n\n  &:hover {\n    --#{$prefix}link-color-rgb: var(--#{$prefix}link-hover-color-rgb);\n    text-decoration: $link-hover-decoration;\n  }\n}\n\n// And undo these styles for placeholder links/named anchors (without href).\n// It would be more straightforward to just use a[href] in previous block, but that\n// causes specificity issues in many other styles that are too complex to fix.\n// See https://github.com/twbs/bootstrap/issues/19402\n\na:not([href]):not([class]) {\n  &,\n  &:hover {\n    color: inherit;\n    text-decoration: none;\n  }\n}\n\n\n// Code\n\npre,\ncode,\nkbd,\nsamp {\n  font-family: $font-family-code;\n  @include font-size(1em); // Correct the odd `em` font sizing in all browsers.\n}\n\n// 1. Remove browser default top margin\n// 2. Reset browser default of `1em` to use `rem`s\n// 3. Don't allow content to break outside\n\npre {\n  display: block;\n  margin-top: 0; // 1\n  margin-bottom: 1rem; // 2\n  overflow: auto; // 3\n  @include font-size($code-font-size);\n  color: $pre-color;\n\n  // Account for some code outputs that place code tags in pre tags\n  code {\n    @include font-size(inherit);\n    color: inherit;\n    word-break: normal;\n  }\n}\n\ncode {\n  @include font-size($code-font-size);\n  color: var(--#{$prefix}code-color);\n  word-wrap: break-word;\n\n  // Streamline the style when inside anchors to avoid broken underline and more\n  a > & {\n    color: inherit;\n  }\n}\n\nkbd {\n  padding: $kbd-padding-y $kbd-padding-x;\n  @include font-size($kbd-font-size);\n  color: $kbd-color;\n  background-color: $kbd-bg;\n  @include border-radius($border-radius-sm);\n\n  kbd {\n    padding: 0;\n    @include font-size(1em);\n    font-weight: $nested-kbd-font-weight;\n  }\n}\n\n\n// Figures\n//\n// Apply a consistent margin strategy (matches our type styles).\n\nfigure {\n  margin: 0 0 1rem;\n}\n\n\n// Images and content\n\nimg,\nsvg {\n  vertical-align: middle;\n}\n\n\n// Tables\n//\n// Prevent double borders\n\ntable {\n  caption-side: bottom;\n  border-collapse: collapse;\n}\n\ncaption {\n  padding-top: $table-cell-padding-y;\n  padding-bottom: $table-cell-padding-y;\n  color: $table-caption-color;\n  text-align: left;\n}\n\n// 1. Removes font-weight bold by inheriting\n// 2. Matches default `<td>` alignment by inheriting `text-align`.\n// 3. Fix alignment for Safari\n\nth {\n  font-weight: $table-th-font-weight; // 1\n  text-align: inherit; // 2\n  text-align: -webkit-match-parent; // 3\n}\n\nthead,\ntbody,\ntfoot,\ntr,\ntd,\nth {\n  border-color: inherit;\n  border-style: solid;\n  border-width: 0;\n}\n\n\n// Forms\n//\n// 1. Allow labels to use `margin` for spacing.\n\nlabel {\n  display: inline-block; // 1\n}\n\n// Remove the default `border-radius` that macOS Chrome adds.\n// See https://github.com/twbs/bootstrap/issues/24093\n\nbutton {\n  // stylelint-disable-next-line property-disallowed-list\n  border-radius: 0;\n}\n\n// Explicitly remove focus outline in Chromium when it shouldn't be\n// visible (e.g. as result of mouse click or touch tap). It already\n// should be doing this automatically, but seems to currently be\n// confused and applies its very visible two-tone outline anyway.\n\nbutton:focus:not(:focus-visible) {\n  outline: 0;\n}\n\n// 1. Remove the margin in Firefox and Safari\n\ninput,\nbutton,\nselect,\noptgroup,\ntextarea {\n  margin: 0; // 1\n  font-family: inherit;\n  @include font-size(inherit);\n  line-height: inherit;\n}\n\n// Remove the inheritance of text transform in Firefox\nbutton,\nselect {\n  text-transform: none;\n}\n// Set the cursor for non-`<button>` buttons\n//\n// Details at https://github.com/twbs/bootstrap/pull/30562\n[role=\"button\"] {\n  cursor: pointer;\n}\n\nselect {\n  // Remove the inheritance of word-wrap in Safari.\n  // See https://github.com/twbs/bootstrap/issues/24990\n  word-wrap: normal;\n\n  // Undo the opacity change from Chrome\n  &:disabled {\n    opacity: 1;\n  }\n}\n\n// Remove the dropdown arrow only from text type inputs built with datalists in Chrome.\n// See https://stackoverflow.com/a/54997118\n\n[list]:not([type=\"date\"]):not([type=\"datetime-local\"]):not([type=\"month\"]):not([type=\"week\"]):not([type=\"time\"])::-webkit-calendar-picker-indicator {\n  display: none !important;\n}\n\n// 1. Prevent a WebKit bug where (2) destroys native `audio` and `video`\n//    controls in Android 4.\n// 2. Correct the inability to style clickable types in iOS and Safari.\n// 3. Opinionated: add \"hand\" cursor to non-disabled button elements.\n\nbutton,\n[type=\"button\"], // 1\n[type=\"reset\"],\n[type=\"submit\"] {\n  -webkit-appearance: button; // 2\n\n  @if $enable-button-pointers {\n    &:not(:disabled) {\n      cursor: pointer; // 3\n    }\n  }\n}\n\n// Remove inner border and padding from Firefox, but don't restore the outline like Normalize.\n\n::-moz-focus-inner {\n  padding: 0;\n  border-style: none;\n}\n\n// 1. Textareas should really only resize vertically so they don't break their (horizontal) containers.\n\ntextarea {\n  resize: vertical; // 1\n}\n\n// 1. Browsers set a default `min-width: min-content;` on fieldsets,\n//    unlike e.g. `<div>`s, which have `min-width: 0;` by default.\n//    So we reset that to ensure fieldsets behave more like a standard block element.\n//    See https://github.com/twbs/bootstrap/issues/12359\n//    and https://html.spec.whatwg.org/multipage/#the-fieldset-and-legend-elements\n// 2. Reset the default outline behavior of fieldsets so they don't affect page layout.\n\nfieldset {\n  min-width: 0; // 1\n  padding: 0; // 2\n  margin: 0; // 2\n  border: 0; // 2\n}\n\n// 1. By using `float: left`, the legend will behave like a block element.\n//    This way the border of a fieldset wraps around the legend if present.\n// 2. Fix wrapping bug.\n//    See https://github.com/twbs/bootstrap/issues/29712\n\nlegend {\n  float: left; // 1\n  width: 100%;\n  padding: 0;\n  margin-bottom: $legend-margin-bottom;\n  @include font-size($legend-font-size);\n  font-weight: $legend-font-weight;\n  line-height: inherit;\n\n  + * {\n    clear: left; // 2\n  }\n}\n\n// Fix height of inputs with a type of datetime-local, date, month, week, or time\n// See https://github.com/twbs/bootstrap/issues/18842\n\n::-webkit-datetime-edit-fields-wrapper,\n::-webkit-datetime-edit-text,\n::-webkit-datetime-edit-minute,\n::-webkit-datetime-edit-hour-field,\n::-webkit-datetime-edit-day-field,\n::-webkit-datetime-edit-month-field,\n::-webkit-datetime-edit-year-field {\n  padding: 0;\n}\n\n::-webkit-inner-spin-button {\n  height: auto;\n}\n\n// 1. This overrides the extra rounded corners on search inputs in iOS so that our\n//    `.form-control` class can properly style them. Note that this cannot simply\n//    be added to `.form-control` as it's not specific enough. For details, see\n//    https://github.com/twbs/bootstrap/issues/11586.\n// 2. Correct the outline style in Safari.\n\n[type=\"search\"] {\n  -webkit-appearance: textfield; // 1\n  outline-offset: -2px; // 2\n}\n\n// 1. A few input types should stay LTR\n// See https://rtlstyling.com/posts/rtl-styling#form-inputs\n// 2. RTL only output\n// See https://rtlcss.com/learn/usage-guide/control-directives/#raw\n\n/* rtl:raw:\n[type=\"tel\"],\n[type=\"url\"],\n[type=\"email\"],\n[type=\"number\"] {\n  direction: ltr;\n}\n*/\n\n// Remove the inner padding in Chrome and Safari on macOS.\n\n::-webkit-search-decoration {\n  -webkit-appearance: none;\n}\n\n// Remove padding around color pickers in webkit browsers\n\n::-webkit-color-swatch-wrapper {\n  padding: 0;\n}\n\n\n// 1. Inherit font family and line height for file input buttons\n// 2. Correct the inability to style clickable types in iOS and Safari.\n\n::file-selector-button {\n  font: inherit; // 1\n  -webkit-appearance: button; // 2\n}\n\n// Correct element displays\n\noutput {\n  display: inline-block;\n}\n\n// Remove border from iframe\n\niframe {\n  border: 0;\n}\n\n// Summary\n//\n// 1. Add the correct display in all browsers\n\nsummary {\n  display: list-item; // 1\n  cursor: pointer;\n}\n\n\n// Progress\n//\n// Add the correct vertical alignment in Chrome, Firefox, and Opera.\n\nprogress {\n  vertical-align: baseline;\n}\n\n\n// Hidden attribute\n//\n// Always hide an element with the `hidden` HTML attribute.\n\n[hidden] {\n  display: none !important;\n}\n","// Variables\n//\n// Variables should follow the `$component-state-property-size` formula for\n// consistent naming. Ex: $nav-link-disabled-color and $modal-content-box-shadow-xs.\n\n// Color system\n\n// scss-docs-start gray-color-variables\n$white:    #fff !default;\n$gray-100: #f8f9fa !default;\n$gray-200: #e9ecef !default;\n$gray-300: #dee2e6 !default;\n$gray-400: #ced4da !default;\n$gray-500: #adb5bd !default;\n$gray-600: #6c757d !default;\n$gray-700: #495057 !default;\n$gray-800: #343a40 !default;\n$gray-900: #212529 !default;\n$black:    #000 !default;\n// scss-docs-end gray-color-variables\n\n// fusv-disable\n// scss-docs-start gray-colors-map\n$grays: (\n  \"100\": $gray-100,\n  \"200\": $gray-200,\n  \"300\": $gray-300,\n  \"400\": $gray-400,\n  \"500\": $gray-500,\n  \"600\": $gray-600,\n  \"700\": $gray-700,\n  \"800\": $gray-800,\n  \"900\": $gray-900\n) !default;\n// scss-docs-end gray-colors-map\n// fusv-enable\n\n// scss-docs-start color-variables\n$blue:    #0d6efd !default;\n$indigo:  #6610f2 !default;\n$purple:  #6f42c1 !default;\n$pink:    #d63384 !default;\n$red:     #dc3545 !default;\n$orange:  #fd7e14 !default;\n$yellow:  #ffc107 !default;\n$green:   #198754 !default;\n$teal:    #20c997 !default;\n$cyan:    #0dcaf0 !default;\n// scss-docs-end color-variables\n\n// scss-docs-start colors-map\n$colors: (\n  \"blue\":       $blue,\n  \"indigo\":     $indigo,\n  \"purple\":     $purple,\n  \"pink\":       $pink,\n  \"red\":        $red,\n  \"orange\":     $orange,\n  \"yellow\":     $yellow,\n  \"green\":      $green,\n  \"teal\":       $teal,\n  \"cyan\":       $cyan,\n  \"black\":      $black,\n  \"white\":      $white,\n  \"gray\":       $gray-600,\n  \"gray-dark\":  $gray-800\n) !default;\n// scss-docs-end colors-map\n\n// The contrast ratio to reach against white, to determine if color changes from \"light\" to \"dark\". Acceptable values for WCAG 2.0 are 3, 4.5 and 7.\n// See https://www.w3.org/TR/WCAG20/#visual-audio-contrast-contrast\n$min-contrast-ratio:   4.5 !default;\n\n// Customize the light and dark text colors for use in our color contrast function.\n$color-contrast-dark:      $black !default;\n$color-contrast-light:     $white !default;\n\n// fusv-disable\n$blue-100: tint-color($blue, 80%) !default;\n$blue-200: tint-color($blue, 60%) !default;\n$blue-300: tint-color($blue, 40%) !default;\n$blue-400: tint-color($blue, 20%) !default;\n$blue-500: $blue !default;\n$blue-600: shade-color($blue, 20%) !default;\n$blue-700: shade-color($blue, 40%) !default;\n$blue-800: shade-color($blue, 60%) !default;\n$blue-900: shade-color($blue, 80%) !default;\n\n$indigo-100: tint-color($indigo, 80%) !default;\n$indigo-200: tint-color($indigo, 60%) !default;\n$indigo-300: tint-color($indigo, 40%) !default;\n$indigo-400: tint-color($indigo, 20%) !default;\n$indigo-500: $indigo !default;\n$indigo-600: shade-color($indigo, 20%) !default;\n$indigo-700: shade-color($indigo, 40%) !default;\n$indigo-800: shade-color($indigo, 60%) !default;\n$indigo-900: shade-color($indigo, 80%) !default;\n\n$purple-100: tint-color($purple, 80%) !default;\n$purple-200: tint-color($purple, 60%) !default;\n$purple-300: tint-color($purple, 40%) !default;\n$purple-400: tint-color($purple, 20%) !default;\n$purple-500: $purple !default;\n$purple-600: shade-color($purple, 20%) !default;\n$purple-700: shade-color($purple, 40%) !default;\n$purple-800: shade-color($purple, 60%) !default;\n$purple-900: shade-color($purple, 80%) !default;\n\n$pink-100: tint-color($pink, 80%) !default;\n$pink-200: tint-color($pink, 60%) !default;\n$pink-300: tint-color($pink, 40%) !default;\n$pink-400: tint-color($pink, 20%) !default;\n$pink-500: $pink !default;\n$pink-600: shade-color($pink, 20%) !default;\n$pink-700: shade-color($pink, 40%) !default;\n$pink-800: shade-color($pink, 60%) !default;\n$pink-900: shade-color($pink, 80%) !default;\n\n$red-100: tint-color($red, 80%) !default;\n$red-200: tint-color($red, 60%) !default;\n$red-300: tint-color($red, 40%) !default;\n$red-400: tint-color($red, 20%) !default;\n$red-500: $red !default;\n$red-600: shade-color($red, 20%) !default;\n$red-700: shade-color($red, 40%) !default;\n$red-800: shade-color($red, 60%) !default;\n$red-900: shade-color($red, 80%) !default;\n\n$orange-100: tint-color($orange, 80%) !default;\n$orange-200: tint-color($orange, 60%) !default;\n$orange-300: tint-color($orange, 40%) !default;\n$orange-400: tint-color($orange, 20%) !default;\n$orange-500: $orange !default;\n$orange-600: shade-color($orange, 20%) !default;\n$orange-700: shade-color($orange, 40%) !default;\n$orange-800: shade-color($orange, 60%) !default;\n$orange-900: shade-color($orange, 80%) !default;\n\n$yellow-100: tint-color($yellow, 80%) !default;\n$yellow-200: tint-color($yellow, 60%) !default;\n$yellow-300: tint-color($yellow, 40%) !default;\n$yellow-400: tint-color($yellow, 20%) !default;\n$yellow-500: $yellow !default;\n$yellow-600: shade-color($yellow, 20%) !default;\n$yellow-700: shade-color($yellow, 40%) !default;\n$yellow-800: shade-color($yellow, 60%) !default;\n$yellow-900: shade-color($yellow, 80%) !default;\n\n$green-100: tint-color($green, 80%) !default;\n$green-200: tint-color($green, 60%) !default;\n$green-300: tint-color($green, 40%) !default;\n$green-400: tint-color($green, 20%) !default;\n$green-500: $green !default;\n$green-600: shade-color($green, 20%) !default;\n$green-700: shade-color($green, 40%) !default;\n$green-800: shade-color($green, 60%) !default;\n$green-900: shade-color($green, 80%) !default;\n\n$teal-100: tint-color($teal, 80%) !default;\n$teal-200: tint-color($teal, 60%) !default;\n$teal-300: tint-color($teal, 40%) !default;\n$teal-400: tint-color($teal, 20%) !default;\n$teal-500: $teal !default;\n$teal-600: shade-color($teal, 20%) !default;\n$teal-700: shade-color($teal, 40%) !default;\n$teal-800: shade-color($teal, 60%) !default;\n$teal-900: shade-color($teal, 80%) !default;\n\n$cyan-100: tint-color($cyan, 80%) !default;\n$cyan-200: tint-color($cyan, 60%) !default;\n$cyan-300: tint-color($cyan, 40%) !default;\n$cyan-400: tint-color($cyan, 20%) !default;\n$cyan-500: $cyan !default;\n$cyan-600: shade-color($cyan, 20%) !default;\n$cyan-700: shade-color($cyan, 40%) !default;\n$cyan-800: shade-color($cyan, 60%) !default;\n$cyan-900: shade-color($cyan, 80%) !default;\n\n$blues: (\n  \"blue-100\": $blue-100,\n  \"blue-200\": $blue-200,\n  \"blue-300\": $blue-300,\n  \"blue-400\": $blue-400,\n  \"blue-500\": $blue-500,\n  \"blue-600\": $blue-600,\n  \"blue-700\": $blue-700,\n  \"blue-800\": $blue-800,\n  \"blue-900\": $blue-900\n) !default;\n\n$indigos: (\n  \"indigo-100\": $indigo-100,\n  \"indigo-200\": $indigo-200,\n  \"indigo-300\": $indigo-300,\n  \"indigo-400\": $indigo-400,\n  \"indigo-500\": $indigo-500,\n  \"indigo-600\": $indigo-600,\n  \"indigo-700\": $indigo-700,\n  \"indigo-800\": $indigo-800,\n  \"indigo-900\": $indigo-900\n) !default;\n\n$purples: (\n  \"purple-100\": $purple-100,\n  \"purple-200\": $purple-200,\n  \"purple-300\": $purple-300,\n  \"purple-400\": $purple-400,\n  \"purple-500\": $purple-500,\n  \"purple-600\": $purple-600,\n  \"purple-700\": $purple-700,\n  \"purple-800\": $purple-800,\n  \"purple-900\": $purple-900\n) !default;\n\n$pinks: (\n  \"pink-100\": $pink-100,\n  \"pink-200\": $pink-200,\n  \"pink-300\": $pink-300,\n  \"pink-400\": $pink-400,\n  \"pink-500\": $pink-500,\n  \"pink-600\": $pink-600,\n  \"pink-700\": $pink-700,\n  \"pink-800\": $pink-800,\n  \"pink-900\": $pink-900\n) !default;\n\n$reds: (\n  \"red-100\": $red-100,\n  \"red-200\": $red-200,\n  \"red-300\": $red-300,\n  \"red-400\": $red-400,\n  \"red-500\": $red-500,\n  \"red-600\": $red-600,\n  \"red-700\": $red-700,\n  \"red-800\": $red-800,\n  \"red-900\": $red-900\n) !default;\n\n$oranges: (\n  \"orange-100\": $orange-100,\n  \"orange-200\": $orange-200,\n  \"orange-300\": $orange-300,\n  \"orange-400\": $orange-400,\n  \"orange-500\": $orange-500,\n  \"orange-600\": $orange-600,\n  \"orange-700\": $orange-700,\n  \"orange-800\": $orange-800,\n  \"orange-900\": $orange-900\n) !default;\n\n$yellows: (\n  \"yellow-100\": $yellow-100,\n  \"yellow-200\": $yellow-200,\n  \"yellow-300\": $yellow-300,\n  \"yellow-400\": $yellow-400,\n  \"yellow-500\": $yellow-500,\n  \"yellow-600\": $yellow-600,\n  \"yellow-700\": $yellow-700,\n  \"yellow-800\": $yellow-800,\n  \"yellow-900\": $yellow-900\n) !default;\n\n$greens: (\n  \"green-100\": $green-100,\n  \"green-200\": $green-200,\n  \"green-300\": $green-300,\n  \"green-400\": $green-400,\n  \"green-500\": $green-500,\n  \"green-600\": $green-600,\n  \"green-700\": $green-700,\n  \"green-800\": $green-800,\n  \"green-900\": $green-900\n) !default;\n\n$teals: (\n  \"teal-100\": $teal-100,\n  \"teal-200\": $teal-200,\n  \"teal-300\": $teal-300,\n  \"teal-400\": $teal-400,\n  \"teal-500\": $teal-500,\n  \"teal-600\": $teal-600,\n  \"teal-700\": $teal-700,\n  \"teal-800\": $teal-800,\n  \"teal-900\": $teal-900\n) !default;\n\n$cyans: (\n  \"cyan-100\": $cyan-100,\n  \"cyan-200\": $cyan-200,\n  \"cyan-300\": $cyan-300,\n  \"cyan-400\": $cyan-400,\n  \"cyan-500\": $cyan-500,\n  \"cyan-600\": $cyan-600,\n  \"cyan-700\": $cyan-700,\n  \"cyan-800\": $cyan-800,\n  \"cyan-900\": $cyan-900\n) !default;\n// fusv-enable\n\n// scss-docs-start theme-color-variables\n$primary:       $blue !default;\n$secondary:     $gray-600 !default;\n$success:       $green !default;\n$info:          $cyan !default;\n$warning:       $yellow !default;\n$danger:        $red !default;\n$light:         $gray-100 !default;\n$dark:          $gray-900 !default;\n// scss-docs-end theme-color-variables\n\n// scss-docs-start theme-colors-map\n$theme-colors: (\n  \"primary\":    $primary,\n  \"secondary\":  $secondary,\n  \"success\":    $success,\n  \"info\":       $info,\n  \"warning\":    $warning,\n  \"danger\":     $danger,\n  \"light\":      $light,\n  \"dark\":       $dark\n) !default;\n// scss-docs-end theme-colors-map\n\n// scss-docs-start theme-text-variables\n$primary-text-emphasis:   shade-color($primary, 60%) !default;\n$secondary-text-emphasis: shade-color($secondary, 60%) !default;\n$success-text-emphasis:   shade-color($success, 60%) !default;\n$info-text-emphasis:      shade-color($info, 60%) !default;\n$warning-text-emphasis:   shade-color($warning, 60%) !default;\n$danger-text-emphasis:    shade-color($danger, 60%) !default;\n$light-text-emphasis:     $gray-700 !default;\n$dark-text-emphasis:      $gray-700 !default;\n// scss-docs-end theme-text-variables\n\n// scss-docs-start theme-bg-subtle-variables\n$primary-bg-subtle:       tint-color($primary, 80%) !default;\n$secondary-bg-subtle:     tint-color($secondary, 80%) !default;\n$success-bg-subtle:       tint-color($success, 80%) !default;\n$info-bg-subtle:          tint-color($info, 80%) !default;\n$warning-bg-subtle:       tint-color($warning, 80%) !default;\n$danger-bg-subtle:        tint-color($danger, 80%) !default;\n$light-bg-subtle:         mix($gray-100, $white) !default;\n$dark-bg-subtle:          $gray-400 !default;\n// scss-docs-end theme-bg-subtle-variables\n\n// scss-docs-start theme-border-subtle-variables\n$primary-border-subtle:   tint-color($primary, 60%) !default;\n$secondary-border-subtle: tint-color($secondary, 60%) !default;\n$success-border-subtle:   tint-color($success, 60%) !default;\n$info-border-subtle:      tint-color($info, 60%) !default;\n$warning-border-subtle:   tint-color($warning, 60%) !default;\n$danger-border-subtle:    tint-color($danger, 60%) !default;\n$light-border-subtle:     $gray-200 !default;\n$dark-border-subtle:      $gray-500 !default;\n// scss-docs-end theme-border-subtle-variables\n\n// Characters which are escaped by the escape-svg function\n$escaped-characters: (\n  (\"<\", \"%3c\"),\n  (\">\", \"%3e\"),\n  (\"#\", \"%23\"),\n  (\"(\", \"%28\"),\n  (\")\", \"%29\"),\n) !default;\n\n// Options\n//\n// Quickly modify global styling by enabling or disabling optional features.\n\n$enable-caret:                true !default;\n$enable-rounded:              true !default;\n$enable-shadows:              false !default;\n$enable-gradients:            false !default;\n$enable-transitions:          true !default;\n$enable-reduced-motion:       true !default;\n$enable-smooth-scroll:        true !default;\n$enable-grid-classes:         true !default;\n$enable-container-classes:    true !default;\n$enable-cssgrid:              false !default;\n$enable-button-pointers:      true !default;\n$enable-rfs:                  true !default;\n$enable-validation-icons:     true !default;\n$enable-negative-margins:     false !default;\n$enable-deprecation-messages: true !default;\n$enable-important-utilities:  true !default;\n\n$enable-dark-mode:            true !default;\n$color-mode-type:             data !default; // `data` or `media-query`\n\n// Prefix for :root CSS variables\n\n$variable-prefix:             bs- !default; // Deprecated in v5.2.0 for the shorter `$prefix`\n$prefix:                      $variable-prefix !default;\n\n// Gradient\n//\n// The gradient which is added to components if `$enable-gradients` is `true`\n// This gradient is also added to elements with `.bg-gradient`\n// scss-docs-start variable-gradient\n$gradient: linear-gradient(180deg, rgba($white, .15), rgba($white, 0)) !default;\n// scss-docs-end variable-gradient\n\n// Spacing\n//\n// Control the default styling of most Bootstrap elements by modifying these\n// variables. Mostly focused on spacing.\n// You can add more entries to the $spacers map, should you need more variation.\n\n// scss-docs-start spacer-variables-maps\n$spacer: 1rem !default;\n$spacers: (\n  0: 0,\n  1: $spacer * .25,\n  2: $spacer * .5,\n  3: $spacer,\n  4: $spacer * 1.5,\n  5: $spacer * 3,\n) !default;\n// scss-docs-end spacer-variables-maps\n\n// Position\n//\n// Define the edge positioning anchors of the position utilities.\n\n// scss-docs-start position-map\n$position-values: (\n  0: 0,\n  50: 50%,\n  100: 100%\n) !default;\n// scss-docs-end position-map\n\n// Body\n//\n// Settings for the `<body>` element.\n\n$body-text-align:           null !default;\n$body-color:                $gray-900 !default;\n$body-bg:                   $white !default;\n\n$body-secondary-color:      rgba($body-color, .75) !default;\n$body-secondary-bg:         $gray-200 !default;\n\n$body-tertiary-color:       rgba($body-color, .5) !default;\n$body-tertiary-bg:          $gray-100 !default;\n\n$body-emphasis-color:       $black !default;\n\n// Links\n//\n// Style anchor elements.\n\n$link-color:                              $primary !default;\n$link-decoration:                         underline !default;\n$link-shade-percentage:                   20% !default;\n$link-hover-color:                        shift-color($link-color, $link-shade-percentage) !default;\n$link-hover-decoration:                   null !default;\n\n$stretched-link-pseudo-element:           after !default;\n$stretched-link-z-index:                  1 !default;\n\n// Icon links\n// scss-docs-start icon-link-variables\n$icon-link-gap:               .375rem !default;\n$icon-link-underline-offset:  .25em !default;\n$icon-link-icon-size:         1em !default;\n$icon-link-icon-transition:   .2s ease-in-out transform !default;\n$icon-link-icon-transform:    translate3d(.25em, 0, 0) !default;\n// scss-docs-end icon-link-variables\n\n// Paragraphs\n//\n// Style p element.\n\n$paragraph-margin-bottom:   1rem !default;\n\n\n// Grid breakpoints\n//\n// Define the minimum dimensions at which your layout will change,\n// adapting to different screen sizes, for use in media queries.\n\n// scss-docs-start grid-breakpoints\n$grid-breakpoints: (\n  xs: 0,\n  sm: 576px,\n  md: 768px,\n  lg: 992px,\n  xl: 1200px,\n  xxl: 1400px\n) !default;\n// scss-docs-end grid-breakpoints\n\n@include _assert-ascending($grid-breakpoints, \"$grid-breakpoints\");\n@include _assert-starts-at-zero($grid-breakpoints, \"$grid-breakpoints\");\n\n\n// Grid containers\n//\n// Define the maximum width of `.container` for different screen sizes.\n\n// scss-docs-start container-max-widths\n$container-max-widths: (\n  sm: 540px,\n  md: 720px,\n  lg: 960px,\n  xl: 1140px,\n  xxl: 1320px\n) !default;\n// scss-docs-end container-max-widths\n\n@include _assert-ascending($container-max-widths, \"$container-max-widths\");\n\n\n// Grid columns\n//\n// Set the number of columns and specify the width of the gutters.\n\n$grid-columns:                12 !default;\n$grid-gutter-width:           1.5rem !default;\n$grid-row-columns:            6 !default;\n\n// Container padding\n\n$container-padding-x: $grid-gutter-width !default;\n\n\n// Components\n//\n// Define common padding and border radius sizes and more.\n\n// scss-docs-start border-variables\n$border-width:                1px !default;\n$border-widths: (\n  1: 1px,\n  2: 2px,\n  3: 3px,\n  4: 4px,\n  5: 5px\n) !default;\n$border-style:                solid !default;\n$border-color:                $gray-300 !default;\n$border-color-translucent:    rgba($black, .175) !default;\n// scss-docs-end border-variables\n\n// scss-docs-start border-radius-variables\n$border-radius:               .375rem !default;\n$border-radius-sm:            .25rem !default;\n$border-radius-lg:            .5rem !default;\n$border-radius-xl:            1rem !default;\n$border-radius-xxl:           2rem !default;\n$border-radius-pill:          50rem !default;\n// scss-docs-end border-radius-variables\n// fusv-disable\n$border-radius-2xl:           $border-radius-xxl !default; // Deprecated in v5.3.0\n// fusv-enable\n\n// scss-docs-start box-shadow-variables\n$box-shadow:                  0 .5rem 1rem rgba($black, .15) !default;\n$box-shadow-sm:               0 .125rem .25rem rgba($black, .075) !default;\n$box-shadow-lg:               0 1rem 3rem rgba($black, .175) !default;\n$box-shadow-inset:            inset 0 1px 2px rgba($black, .075) !default;\n// scss-docs-end box-shadow-variables\n\n$component-active-color:      $white !default;\n$component-active-bg:         $primary !default;\n\n// scss-docs-start focus-ring-variables\n$focus-ring-width:      .25rem !default;\n$focus-ring-opacity:    .25 !default;\n$focus-ring-color:      rgba($primary, $focus-ring-opacity) !default;\n$focus-ring-blur:       0 !default;\n$focus-ring-box-shadow: 0 0 $focus-ring-blur $focus-ring-width $focus-ring-color !default;\n// scss-docs-end focus-ring-variables\n\n// scss-docs-start caret-variables\n$caret-width:                 .3em !default;\n$caret-vertical-align:        $caret-width * .85 !default;\n$caret-spacing:               $caret-width * .85 !default;\n// scss-docs-end caret-variables\n\n$transition-base:             all .2s ease-in-out !default;\n$transition-fade:             opacity .15s linear !default;\n// scss-docs-start collapse-transition\n$transition-collapse:         height .35s ease !default;\n$transition-collapse-width:   width .35s ease !default;\n// scss-docs-end collapse-transition\n\n// stylelint-disable function-disallowed-list\n// scss-docs-start aspect-ratios\n$aspect-ratios: (\n  \"1x1\": 100%,\n  \"4x3\": calc(3 / 4 * 100%),\n  \"16x9\": calc(9 / 16 * 100%),\n  \"21x9\": calc(9 / 21 * 100%)\n) !default;\n// scss-docs-end aspect-ratios\n// stylelint-enable function-disallowed-list\n\n// Typography\n//\n// Font, line-height, and color for body text, headings, and more.\n\n// scss-docs-start font-variables\n// stylelint-disable value-keyword-case\n$font-family-sans-serif:      system-ui, -apple-system, \"Segoe UI\", Roboto, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\" !default;\n$font-family-monospace:       SFMono-Regular, Menlo, Monaco, Consolas, \"Liberation Mono\", \"Courier New\", monospace !default;\n// stylelint-enable value-keyword-case\n$font-family-base:            var(--#{$prefix}font-sans-serif) !default;\n$font-family-code:            var(--#{$prefix}font-monospace) !default;\n\n// $font-size-root affects the value of `rem`, which is used for as well font sizes, paddings, and margins\n// $font-size-base affects the font size of the body text\n$font-size-root:              null !default;\n$font-size-base:              1rem !default; // Assumes the browser default, typically `16px`\n$font-size-sm:                $font-size-base * .875 !default;\n$font-size-lg:                $font-size-base * 1.25 !default;\n\n$font-weight-lighter:         lighter !default;\n$font-weight-light:           300 !default;\n$font-weight-normal:          400 !default;\n$font-weight-medium:          500 !default;\n$font-weight-semibold:        600 !default;\n$font-weight-bold:            700 !default;\n$font-weight-bolder:          bolder !default;\n\n$font-weight-base:            $font-weight-normal !default;\n\n$line-height-base:            1.5 !default;\n$line-height-sm:              1.25 !default;\n$line-height-lg:              2 !default;\n\n$h1-font-size:                $font-size-base * 2.5 !default;\n$h2-font-size:                $font-size-base * 2 !default;\n$h3-font-size:                $font-size-base * 1.75 !default;\n$h4-font-size:                $font-size-base * 1.5 !default;\n$h5-font-size:                $font-size-base * 1.25 !default;\n$h6-font-size:                $font-size-base !default;\n// scss-docs-end font-variables\n\n// scss-docs-start font-sizes\n$font-sizes: (\n  1: $h1-font-size,\n  2: $h2-font-size,\n  3: $h3-font-size,\n  4: $h4-font-size,\n  5: $h5-font-size,\n  6: $h6-font-size\n) !default;\n// scss-docs-end font-sizes\n\n// scss-docs-start headings-variables\n$headings-margin-bottom:      $spacer * .5 !default;\n$headings-font-family:        null !default;\n$headings-font-style:         null !default;\n$headings-font-weight:        500 !default;\n$headings-line-height:        1.2 !default;\n$headings-color:              inherit !default;\n// scss-docs-end headings-variables\n\n// scss-docs-start display-headings\n$display-font-sizes: (\n  1: 5rem,\n  2: 4.5rem,\n  3: 4rem,\n  4: 3.5rem,\n  5: 3rem,\n  6: 2.5rem\n) !default;\n\n$display-font-family: null !default;\n$display-font-style:  null !default;\n$display-font-weight: 300 !default;\n$display-line-height: $headings-line-height !default;\n// scss-docs-end display-headings\n\n// scss-docs-start type-variables\n$lead-font-size:              $font-size-base * 1.25 !default;\n$lead-font-weight:            300 !default;\n\n$small-font-size:             .875em !default;\n\n$sub-sup-font-size:           .75em !default;\n\n// fusv-disable\n$text-muted:                  var(--#{$prefix}secondary-color) !default; // Deprecated in 5.3.0\n// fusv-enable\n\n$initialism-font-size:        $small-font-size !default;\n\n$blockquote-margin-y:         $spacer !default;\n$blockquote-font-size:        $font-size-base * 1.25 !default;\n$blockquote-footer-color:     $gray-600 !default;\n$blockquote-footer-font-size: $small-font-size !default;\n\n$hr-margin-y:                 $spacer !default;\n$hr-color:                    inherit !default;\n\n// fusv-disable\n$hr-bg-color:                 null !default; // Deprecated in v5.2.0\n$hr-height:                   null !default; // Deprecated in v5.2.0\n// fusv-enable\n\n$hr-border-color:             null !default; // Allows for inherited colors\n$hr-border-width:             var(--#{$prefix}border-width) !default;\n$hr-opacity:                  .25 !default;\n\n// scss-docs-start vr-variables\n$vr-border-width:             var(--#{$prefix}border-width) !default;\n// scss-docs-end vr-variables\n\n$legend-margin-bottom:        .5rem !default;\n$legend-font-size:            1.5rem !default;\n$legend-font-weight:          null !default;\n\n$dt-font-weight:              $font-weight-bold !default;\n\n$list-inline-padding:         .5rem !default;\n\n$mark-padding:                .1875em !default;\n$mark-color:                  $body-color !default;\n$mark-bg:                     $yellow-100 !default;\n// scss-docs-end type-variables\n\n\n// Tables\n//\n// Customizes the `.table` component with basic values, each used across all table variations.\n\n// scss-docs-start table-variables\n$table-cell-padding-y:        .5rem !default;\n$table-cell-padding-x:        .5rem !default;\n$table-cell-padding-y-sm:     .25rem !default;\n$table-cell-padding-x-sm:     .25rem !default;\n\n$table-cell-vertical-align:   top !default;\n\n$table-color:                 var(--#{$prefix}emphasis-color) !default;\n$table-bg:                    var(--#{$prefix}body-bg) !default;\n$table-accent-bg:             transparent !default;\n\n$table-th-font-weight:        null !default;\n\n$table-striped-color:         $table-color !default;\n$table-striped-bg-factor:     .05 !default;\n$table-striped-bg:            rgba(var(--#{$prefix}emphasis-color-rgb), $table-striped-bg-factor) !default;\n\n$table-active-color:          $table-color !default;\n$table-active-bg-factor:      .1 !default;\n$table-active-bg:             rgba(var(--#{$prefix}emphasis-color-rgb), $table-active-bg-factor) !default;\n\n$table-hover-color:           $table-color !default;\n$table-hover-bg-factor:       .075 !default;\n$table-hover-bg:              rgba(var(--#{$prefix}emphasis-color-rgb), $table-hover-bg-factor) !default;\n\n$table-border-factor:         .2 !default;\n$table-border-width:          var(--#{$prefix}border-width) !default;\n$table-border-color:          var(--#{$prefix}border-color) !default;\n\n$table-striped-order:         odd !default;\n$table-striped-columns-order: even !default;\n\n$table-group-separator-color: currentcolor !default;\n\n$table-caption-color:         var(--#{$prefix}secondary-color) !default;\n\n$table-bg-scale:              -80% !default;\n// scss-docs-end table-variables\n\n// scss-docs-start table-loop\n$table-variants: (\n  \"primary\":    shift-color($primary, $table-bg-scale),\n  \"secondary\":  shift-color($secondary, $table-bg-scale),\n  \"success\":    shift-color($success, $table-bg-scale),\n  \"info\":       shift-color($info, $table-bg-scale),\n  \"warning\":    shift-color($warning, $table-bg-scale),\n  \"danger\":     shift-color($danger, $table-bg-scale),\n  \"light\":      $light,\n  \"dark\":       $dark,\n) !default;\n// scss-docs-end table-loop\n\n\n// Buttons + Forms\n//\n// Shared variables that are reassigned to `$input-` and `$btn-` specific variables.\n\n// scss-docs-start input-btn-variables\n$input-btn-padding-y:         .375rem !default;\n$input-btn-padding-x:         .75rem !default;\n$input-btn-font-family:       null !default;\n$input-btn-font-size:         $font-size-base !default;\n$input-btn-line-height:       $line-height-base !default;\n\n$input-btn-focus-width:         $focus-ring-width !default;\n$input-btn-focus-color-opacity: $focus-ring-opacity !default;\n$input-btn-focus-color:         $focus-ring-color !default;\n$input-btn-focus-blur:          $focus-ring-blur !default;\n$input-btn-focus-box-shadow:    $focus-ring-box-shadow !default;\n\n$input-btn-padding-y-sm:      .25rem !default;\n$input-btn-padding-x-sm:      .5rem !default;\n$input-btn-font-size-sm:      $font-size-sm !default;\n\n$input-btn-padding-y-lg:      .5rem !default;\n$input-btn-padding-x-lg:      1rem !default;\n$input-btn-font-size-lg:      $font-size-lg !default;\n\n$input-btn-border-width:      var(--#{$prefix}border-width) !default;\n// scss-docs-end input-btn-variables\n\n\n// Buttons\n//\n// For each of Bootstrap's buttons, define text, background, and border color.\n\n// scss-docs-start btn-variables\n$btn-color:                   var(--#{$prefix}body-color) !default;\n$btn-padding-y:               $input-btn-padding-y !default;\n$btn-padding-x:               $input-btn-padding-x !default;\n$btn-font-family:             $input-btn-font-family !default;\n$btn-font-size:               $input-btn-font-size !default;\n$btn-line-height:             $input-btn-line-height !default;\n$btn-white-space:             null !default; // Set to `nowrap` to prevent text wrapping\n\n$btn-padding-y-sm:            $input-btn-padding-y-sm !default;\n$btn-padding-x-sm:            $input-btn-padding-x-sm !default;\n$btn-font-size-sm:            $input-btn-font-size-sm !default;\n\n$btn-padding-y-lg:            $input-btn-padding-y-lg !default;\n$btn-padding-x-lg:            $input-btn-padding-x-lg !default;\n$btn-font-size-lg:            $input-btn-font-size-lg !default;\n\n$btn-border-width:            $input-btn-border-width !default;\n\n$btn-font-weight:             $font-weight-normal !default;\n$btn-box-shadow:              inset 0 1px 0 rgba($white, .15), 0 1px 1px rgba($black, .075) !default;\n$btn-focus-width:             $input-btn-focus-width !default;\n$btn-focus-box-shadow:        $input-btn-focus-box-shadow !default;\n$btn-disabled-opacity:        .65 !default;\n$btn-active-box-shadow:       inset 0 3px 5px rgba($black, .125) !default;\n\n$btn-link-color:              var(--#{$prefix}link-color) !default;\n$btn-link-hover-color:        var(--#{$prefix}link-hover-color) !default;\n$btn-link-disabled-color:     $gray-600 !default;\n$btn-link-focus-shadow-rgb:   to-rgb(mix(color-contrast($link-color), $link-color, 15%)) !default;\n\n// Allows for customizing button radius independently from global border radius\n$btn-border-radius:           var(--#{$prefix}border-radius) !default;\n$btn-border-radius-sm:        var(--#{$prefix}border-radius-sm) !default;\n$btn-border-radius-lg:        var(--#{$prefix}border-radius-lg) !default;\n\n$btn-transition:              color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$btn-hover-bg-shade-amount:       15% !default;\n$btn-hover-bg-tint-amount:        15% !default;\n$btn-hover-border-shade-amount:   20% !default;\n$btn-hover-border-tint-amount:    10% !default;\n$btn-active-bg-shade-amount:      20% !default;\n$btn-active-bg-tint-amount:       20% !default;\n$btn-active-border-shade-amount:  25% !default;\n$btn-active-border-tint-amount:   10% !default;\n// scss-docs-end btn-variables\n\n\n// Forms\n\n// scss-docs-start form-text-variables\n$form-text-margin-top:                  .25rem !default;\n$form-text-font-size:                   $small-font-size !default;\n$form-text-font-style:                  null !default;\n$form-text-font-weight:                 null !default;\n$form-text-color:                       var(--#{$prefix}secondary-color) !default;\n// scss-docs-end form-text-variables\n\n// scss-docs-start form-label-variables\n$form-label-margin-bottom:              .5rem !default;\n$form-label-font-size:                  null !default;\n$form-label-font-style:                 null !default;\n$form-label-font-weight:                null !default;\n$form-label-color:                      null !default;\n// scss-docs-end form-label-variables\n\n// scss-docs-start form-input-variables\n$input-padding-y:                       $input-btn-padding-y !default;\n$input-padding-x:                       $input-btn-padding-x !default;\n$input-font-family:                     $input-btn-font-family !default;\n$input-font-size:                       $input-btn-font-size !default;\n$input-font-weight:                     $font-weight-base !default;\n$input-line-height:                     $input-btn-line-height !default;\n\n$input-padding-y-sm:                    $input-btn-padding-y-sm !default;\n$input-padding-x-sm:                    $input-btn-padding-x-sm !default;\n$input-font-size-sm:                    $input-btn-font-size-sm !default;\n\n$input-padding-y-lg:                    $input-btn-padding-y-lg !default;\n$input-padding-x-lg:                    $input-btn-padding-x-lg !default;\n$input-font-size-lg:                    $input-btn-font-size-lg !default;\n\n$input-bg:                              var(--#{$prefix}body-bg) !default;\n$input-disabled-color:                  null !default;\n$input-disabled-bg:                     var(--#{$prefix}secondary-bg) !default;\n$input-disabled-border-color:           null !default;\n\n$input-color:                           var(--#{$prefix}body-color) !default;\n$input-border-color:                    var(--#{$prefix}border-color) !default;\n$input-border-width:                    $input-btn-border-width !default;\n$input-box-shadow:                      var(--#{$prefix}box-shadow-inset) !default;\n\n$input-border-radius:                   var(--#{$prefix}border-radius) !default;\n$input-border-radius-sm:                var(--#{$prefix}border-radius-sm) !default;\n$input-border-radius-lg:                var(--#{$prefix}border-radius-lg) !default;\n\n$input-focus-bg:                        $input-bg !default;\n$input-focus-border-color:              tint-color($component-active-bg, 50%) !default;\n$input-focus-color:                     $input-color !default;\n$input-focus-width:                     $input-btn-focus-width !default;\n$input-focus-box-shadow:                $input-btn-focus-box-shadow !default;\n\n$input-placeholder-color:               var(--#{$prefix}secondary-color) !default;\n$input-plaintext-color:                 var(--#{$prefix}body-color) !default;\n\n$input-height-border:                   calc(#{$input-border-width} * 2) !default; // stylelint-disable-line function-disallowed-list\n\n$input-height-inner:                    add($input-line-height * 1em, $input-padding-y * 2) !default;\n$input-height-inner-half:               add($input-line-height * .5em, $input-padding-y) !default;\n$input-height-inner-quarter:            add($input-line-height * .25em, $input-padding-y * .5) !default;\n\n$input-height:                          add($input-line-height * 1em, add($input-padding-y * 2, $input-height-border, false)) !default;\n$input-height-sm:                       add($input-line-height * 1em, add($input-padding-y-sm * 2, $input-height-border, false)) !default;\n$input-height-lg:                       add($input-line-height * 1em, add($input-padding-y-lg * 2, $input-height-border, false)) !default;\n\n$input-transition:                      border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$form-color-width:                      3rem !default;\n// scss-docs-end form-input-variables\n\n// scss-docs-start form-check-variables\n$form-check-input-width:                  1em !default;\n$form-check-min-height:                   $font-size-base * $line-height-base !default;\n$form-check-padding-start:                $form-check-input-width + .5em !default;\n$form-check-margin-bottom:                .125rem !default;\n$form-check-label-color:                  null !default;\n$form-check-label-cursor:                 null !default;\n$form-check-transition:                   null !default;\n\n$form-check-input-active-filter:          brightness(90%) !default;\n\n$form-check-input-bg:                     $input-bg !default;\n$form-check-input-border:                 var(--#{$prefix}border-width) solid var(--#{$prefix}border-color) !default;\n$form-check-input-border-radius:          .25em !default;\n$form-check-radio-border-radius:          50% !default;\n$form-check-input-focus-border:           $input-focus-border-color !default;\n$form-check-input-focus-box-shadow:       $focus-ring-box-shadow !default;\n\n$form-check-input-checked-color:          $component-active-color !default;\n$form-check-input-checked-bg-color:       $component-active-bg !default;\n$form-check-input-checked-border-color:   $form-check-input-checked-bg-color !default;\n$form-check-input-checked-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'><path fill='none' stroke='#{$form-check-input-checked-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='m6 10 3 3 6-6'/></svg>\") !default;\n$form-check-radio-checked-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='2' fill='#{$form-check-input-checked-color}'/></svg>\") !default;\n\n$form-check-input-indeterminate-color:          $component-active-color !default;\n$form-check-input-indeterminate-bg-color:       $component-active-bg !default;\n$form-check-input-indeterminate-border-color:   $form-check-input-indeterminate-bg-color !default;\n$form-check-input-indeterminate-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'><path fill='none' stroke='#{$form-check-input-indeterminate-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='M6 10h8'/></svg>\") !default;\n\n$form-check-input-disabled-opacity:        .5 !default;\n$form-check-label-disabled-opacity:        $form-check-input-disabled-opacity !default;\n$form-check-btn-check-disabled-opacity:    $btn-disabled-opacity !default;\n\n$form-check-inline-margin-end:    1rem !default;\n// scss-docs-end form-check-variables\n\n// scss-docs-start form-switch-variables\n$form-switch-color:               rgba($black, .25) !default;\n$form-switch-width:               2em !default;\n$form-switch-padding-start:       $form-switch-width + .5em !default;\n$form-switch-bg-image:            url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-color}'/></svg>\") !default;\n$form-switch-border-radius:       $form-switch-width !default;\n$form-switch-transition:          background-position .15s ease-in-out !default;\n\n$form-switch-focus-color:         $input-focus-border-color !default;\n$form-switch-focus-bg-image:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-focus-color}'/></svg>\") !default;\n\n$form-switch-checked-color:       $component-active-color !default;\n$form-switch-checked-bg-image:    url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-checked-color}'/></svg>\") !default;\n$form-switch-checked-bg-position: right center !default;\n// scss-docs-end form-switch-variables\n\n// scss-docs-start input-group-variables\n$input-group-addon-padding-y:           $input-padding-y !default;\n$input-group-addon-padding-x:           $input-padding-x !default;\n$input-group-addon-font-weight:         $input-font-weight !default;\n$input-group-addon-color:               $input-color !default;\n$input-group-addon-bg:                  var(--#{$prefix}tertiary-bg) !default;\n$input-group-addon-border-color:        $input-border-color !default;\n// scss-docs-end input-group-variables\n\n// scss-docs-start form-select-variables\n$form-select-padding-y:             $input-padding-y !default;\n$form-select-padding-x:             $input-padding-x !default;\n$form-select-font-family:           $input-font-family !default;\n$form-select-font-size:             $input-font-size !default;\n$form-select-indicator-padding:     $form-select-padding-x * 3 !default; // Extra padding for background-image\n$form-select-font-weight:           $input-font-weight !default;\n$form-select-line-height:           $input-line-height !default;\n$form-select-color:                 $input-color !default;\n$form-select-bg:                    $input-bg !default;\n$form-select-disabled-color:        null !default;\n$form-select-disabled-bg:           $input-disabled-bg !default;\n$form-select-disabled-border-color: $input-disabled-border-color !default;\n$form-select-bg-position:           right $form-select-padding-x center !default;\n$form-select-bg-size:               16px 12px !default; // In pixels because image dimensions\n$form-select-indicator-color:       $gray-800 !default;\n$form-select-indicator:             url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'><path fill='none' stroke='#{$form-select-indicator-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5 6 6 6-6'/></svg>\") !default;\n\n$form-select-feedback-icon-padding-end: $form-select-padding-x * 2.5 + $form-select-indicator-padding !default;\n$form-select-feedback-icon-position:    center right $form-select-indicator-padding !default;\n$form-select-feedback-icon-size:        $input-height-inner-half $input-height-inner-half !default;\n\n$form-select-border-width:        $input-border-width !default;\n$form-select-border-color:        $input-border-color !default;\n$form-select-border-radius:       $input-border-radius !default;\n$form-select-box-shadow:          var(--#{$prefix}box-shadow-inset) !default;\n\n$form-select-focus-border-color:  $input-focus-border-color !default;\n$form-select-focus-width:         $input-focus-width !default;\n$form-select-focus-box-shadow:    0 0 0 $form-select-focus-width $input-btn-focus-color !default;\n\n$form-select-padding-y-sm:        $input-padding-y-sm !default;\n$form-select-padding-x-sm:        $input-padding-x-sm !default;\n$form-select-font-size-sm:        $input-font-size-sm !default;\n$form-select-border-radius-sm:    $input-border-radius-sm !default;\n\n$form-select-padding-y-lg:        $input-padding-y-lg !default;\n$form-select-padding-x-lg:        $input-padding-x-lg !default;\n$form-select-font-size-lg:        $input-font-size-lg !default;\n$form-select-border-radius-lg:    $input-border-radius-lg !default;\n\n$form-select-transition:          $input-transition !default;\n// scss-docs-end form-select-variables\n\n// scss-docs-start form-range-variables\n$form-range-track-width:          100% !default;\n$form-range-track-height:         .5rem !default;\n$form-range-track-cursor:         pointer !default;\n$form-range-track-bg:             var(--#{$prefix}secondary-bg) !default;\n$form-range-track-border-radius:  1rem !default;\n$form-range-track-box-shadow:     var(--#{$prefix}box-shadow-inset) !default;\n\n$form-range-thumb-width:                   1rem !default;\n$form-range-thumb-height:                  $form-range-thumb-width !default;\n$form-range-thumb-bg:                      $component-active-bg !default;\n$form-range-thumb-border:                  0 !default;\n$form-range-thumb-border-radius:           1rem !default;\n$form-range-thumb-box-shadow:              0 .1rem .25rem rgba($black, .1) !default;\n$form-range-thumb-focus-box-shadow:        0 0 0 1px $body-bg, $input-focus-box-shadow !default;\n$form-range-thumb-focus-box-shadow-width:  $input-focus-width !default; // For focus box shadow issue in Edge\n$form-range-thumb-active-bg:               tint-color($component-active-bg, 70%) !default;\n$form-range-thumb-disabled-bg:             var(--#{$prefix}secondary-color) !default;\n$form-range-thumb-transition:              background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n// scss-docs-end form-range-variables\n\n// scss-docs-start form-file-variables\n$form-file-button-color:          $input-color !default;\n$form-file-button-bg:             var(--#{$prefix}tertiary-bg) !default;\n$form-file-button-hover-bg:       var(--#{$prefix}secondary-bg) !default;\n// scss-docs-end form-file-variables\n\n// scss-docs-start form-floating-variables\n$form-floating-height:                  add(3.5rem, $input-height-border) !default;\n$form-floating-line-height:             1.25 !default;\n$form-floating-padding-x:               $input-padding-x !default;\n$form-floating-padding-y:               1rem !default;\n$form-floating-input-padding-t:         1.625rem !default;\n$form-floating-input-padding-b:         .625rem !default;\n$form-floating-label-height:            1.5em !default;\n$form-floating-label-opacity:           .65 !default;\n$form-floating-label-transform:         scale(.85) translateY(-.5rem) translateX(.15rem) !default;\n$form-floating-label-disabled-color:    $gray-600 !default;\n$form-floating-transition:              opacity .1s ease-in-out, transform .1s ease-in-out !default;\n// scss-docs-end form-floating-variables\n\n// Form validation\n\n// scss-docs-start form-feedback-variables\n$form-feedback-margin-top:          $form-text-margin-top !default;\n$form-feedback-font-size:           $form-text-font-size !default;\n$form-feedback-font-style:          $form-text-font-style !default;\n$form-feedback-valid-color:         $success !default;\n$form-feedback-invalid-color:       $danger !default;\n\n$form-feedback-icon-valid-color:    $form-feedback-valid-color !default;\n$form-feedback-icon-valid:          url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 8 8'><path fill='#{$form-feedback-icon-valid-color}' d='M2.3 6.73.6 4.53c-.4-1.04.46-1.4 1.1-.8l1.1 1.4 3.4-3.8c.6-.63 1.6-.27 1.2.7l-4 4.6c-.43.5-.8.4-1.1.1z'/></svg>\") !default;\n$form-feedback-icon-invalid-color:  $form-feedback-invalid-color !default;\n$form-feedback-icon-invalid:        url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 12 12' width='12' height='12' fill='none' stroke='#{$form-feedback-icon-invalid-color}'><circle cx='6' cy='6' r='4.5'/><path stroke-linejoin='round' d='M5.8 3.6h.4L6 6.5z'/><circle cx='6' cy='8.2' r='.6' fill='#{$form-feedback-icon-invalid-color}' stroke='none'/></svg>\") !default;\n// scss-docs-end form-feedback-variables\n\n// scss-docs-start form-validation-colors\n$form-valid-color:                  $form-feedback-valid-color !default;\n$form-valid-border-color:           $form-feedback-valid-color !default;\n$form-invalid-color:                $form-feedback-invalid-color !default;\n$form-invalid-border-color:         $form-feedback-invalid-color !default;\n// scss-docs-end form-validation-colors\n\n// scss-docs-start form-validation-states\n$form-validation-states: (\n  \"valid\": (\n    \"color\": var(--#{$prefix}form-valid-color),\n    \"icon\": $form-feedback-icon-valid,\n    \"tooltip-color\": #fff,\n    \"tooltip-bg-color\": var(--#{$prefix}success),\n    \"focus-box-shadow\": 0 0 $input-btn-focus-blur $input-focus-width rgba(var(--#{$prefix}success-rgb), $input-btn-focus-color-opacity),\n    \"border-color\": var(--#{$prefix}form-valid-border-color),\n  ),\n  \"invalid\": (\n    \"color\": var(--#{$prefix}form-invalid-color),\n    \"icon\": $form-feedback-icon-invalid,\n    \"tooltip-color\": #fff,\n    \"tooltip-bg-color\": var(--#{$prefix}danger),\n    \"focus-box-shadow\": 0 0 $input-btn-focus-blur $input-focus-width rgba(var(--#{$prefix}danger-rgb), $input-btn-focus-color-opacity),\n    \"border-color\": var(--#{$prefix}form-invalid-border-color),\n  )\n) !default;\n// scss-docs-end form-validation-states\n\n// Z-index master list\n//\n// Warning: Avoid customizing these values. They're used for a bird's eye view\n// of components dependent on the z-axis and are designed to all work together.\n\n// scss-docs-start zindex-stack\n$zindex-dropdown:                   1000 !default;\n$zindex-sticky:                     1020 !default;\n$zindex-fixed:                      1030 !default;\n$zindex-offcanvas-backdrop:         1040 !default;\n$zindex-offcanvas:                  1045 !default;\n$zindex-modal-backdrop:             1050 !default;\n$zindex-modal:                      1055 !default;\n$zindex-popover:                    1070 !default;\n$zindex-tooltip:                    1080 !default;\n$zindex-toast:                      1090 !default;\n// scss-docs-end zindex-stack\n\n// scss-docs-start zindex-levels-map\n$zindex-levels: (\n  n1: -1,\n  0: 0,\n  1: 1,\n  2: 2,\n  3: 3\n) !default;\n// scss-docs-end zindex-levels-map\n\n\n// Navs\n\n// scss-docs-start nav-variables\n$nav-link-padding-y:                .5rem !default;\n$nav-link-padding-x:                1rem !default;\n$nav-link-font-size:                null !default;\n$nav-link-font-weight:              null !default;\n$nav-link-color:                    var(--#{$prefix}link-color) !default;\n$nav-link-hover-color:              var(--#{$prefix}link-hover-color) !default;\n$nav-link-transition:               color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out !default;\n$nav-link-disabled-color:           var(--#{$prefix}secondary-color) !default;\n$nav-link-focus-box-shadow:         $focus-ring-box-shadow !default;\n\n$nav-tabs-border-color:             var(--#{$prefix}border-color) !default;\n$nav-tabs-border-width:             var(--#{$prefix}border-width) !default;\n$nav-tabs-border-radius:            var(--#{$prefix}border-radius) !default;\n$nav-tabs-link-hover-border-color:  var(--#{$prefix}secondary-bg) var(--#{$prefix}secondary-bg) $nav-tabs-border-color !default;\n$nav-tabs-link-active-color:        var(--#{$prefix}emphasis-color) !default;\n$nav-tabs-link-active-bg:           var(--#{$prefix}body-bg) !default;\n$nav-tabs-link-active-border-color: var(--#{$prefix}border-color) var(--#{$prefix}border-color) $nav-tabs-link-active-bg !default;\n\n$nav-pills-border-radius:           var(--#{$prefix}border-radius) !default;\n$nav-pills-link-active-color:       $component-active-color !default;\n$nav-pills-link-active-bg:          $component-active-bg !default;\n\n$nav-underline-gap:                 1rem !default;\n$nav-underline-border-width:        .125rem !default;\n$nav-underline-link-active-color:   var(--#{$prefix}emphasis-color) !default;\n// scss-docs-end nav-variables\n\n\n// Navbar\n\n// scss-docs-start navbar-variables\n$navbar-padding-y:                  $spacer * .5 !default;\n$navbar-padding-x:                  null !default;\n\n$navbar-nav-link-padding-x:         .5rem !default;\n\n$navbar-brand-font-size:            $font-size-lg !default;\n// Compute the navbar-brand padding-y so the navbar-brand will have the same height as navbar-text and nav-link\n$nav-link-height:                   $font-size-base * $line-height-base + $nav-link-padding-y * 2 !default;\n$navbar-brand-height:               $navbar-brand-font-size * $line-height-base !default;\n$navbar-brand-padding-y:            ($nav-link-height - $navbar-brand-height) * .5 !default;\n$navbar-brand-margin-end:           1rem !default;\n\n$navbar-toggler-padding-y:          .25rem !default;\n$navbar-toggler-padding-x:          .75rem !default;\n$navbar-toggler-font-size:          $font-size-lg !default;\n$navbar-toggler-border-radius:      $btn-border-radius !default;\n$navbar-toggler-focus-width:        $btn-focus-width !default;\n$navbar-toggler-transition:         box-shadow .15s ease-in-out !default;\n\n$navbar-light-color:                rgba(var(--#{$prefix}emphasis-color-rgb), .65) !default;\n$navbar-light-hover-color:          rgba(var(--#{$prefix}emphasis-color-rgb), .8) !default;\n$navbar-light-active-color:         rgba(var(--#{$prefix}emphasis-color-rgb), 1) !default;\n$navbar-light-disabled-color:       rgba(var(--#{$prefix}emphasis-color-rgb), .3) !default;\n$navbar-light-icon-color:           rgba($body-color, .75) !default;\n$navbar-light-toggler-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'><path stroke='#{$navbar-light-icon-color}' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/></svg>\") !default;\n$navbar-light-toggler-border-color: rgba(var(--#{$prefix}emphasis-color-rgb), .15) !default;\n$navbar-light-brand-color:          $navbar-light-active-color !default;\n$navbar-light-brand-hover-color:    $navbar-light-active-color !default;\n// scss-docs-end navbar-variables\n\n// scss-docs-start navbar-dark-variables\n$navbar-dark-color:                 rgba($white, .55) !default;\n$navbar-dark-hover-color:           rgba($white, .75) !default;\n$navbar-dark-active-color:          $white !default;\n$navbar-dark-disabled-color:        rgba($white, .25) !default;\n$navbar-dark-icon-color:            $navbar-dark-color !default;\n$navbar-dark-toggler-icon-bg:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'><path stroke='#{$navbar-dark-icon-color}' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/></svg>\") !default;\n$navbar-dark-toggler-border-color:  rgba($white, .1) !default;\n$navbar-dark-brand-color:           $navbar-dark-active-color !default;\n$navbar-dark-brand-hover-color:     $navbar-dark-active-color !default;\n// scss-docs-end navbar-dark-variables\n\n\n// Dropdowns\n//\n// Dropdown menu container and contents.\n\n// scss-docs-start dropdown-variables\n$dropdown-min-width:                10rem !default;\n$dropdown-padding-x:                0 !default;\n$dropdown-padding-y:                .5rem !default;\n$dropdown-spacer:                   .125rem !default;\n$dropdown-font-size:                $font-size-base !default;\n$dropdown-color:                    var(--#{$prefix}body-color) !default;\n$dropdown-bg:                       var(--#{$prefix}body-bg) !default;\n$dropdown-border-color:             var(--#{$prefix}border-color-translucent) !default;\n$dropdown-border-radius:            var(--#{$prefix}border-radius) !default;\n$dropdown-border-width:             var(--#{$prefix}border-width) !default;\n$dropdown-inner-border-radius:      calc(#{$dropdown-border-radius} - #{$dropdown-border-width}) !default; // stylelint-disable-line function-disallowed-list\n$dropdown-divider-bg:               $dropdown-border-color !default;\n$dropdown-divider-margin-y:         $spacer * .5 !default;\n$dropdown-box-shadow:               var(--#{$prefix}box-shadow) !default;\n\n$dropdown-link-color:               var(--#{$prefix}body-color) !default;\n$dropdown-link-hover-color:         $dropdown-link-color !default;\n$dropdown-link-hover-bg:            var(--#{$prefix}tertiary-bg) !default;\n\n$dropdown-link-active-color:        $component-active-color !default;\n$dropdown-link-active-bg:           $component-active-bg !default;\n\n$dropdown-link-disabled-color:      var(--#{$prefix}tertiary-color) !default;\n\n$dropdown-item-padding-y:           $spacer * .25 !default;\n$dropdown-item-padding-x:           $spacer !default;\n\n$dropdown-header-color:             $gray-600 !default;\n$dropdown-header-padding-x:         $dropdown-item-padding-x !default;\n$dropdown-header-padding-y:         $dropdown-padding-y !default;\n// fusv-disable\n$dropdown-header-padding:           $dropdown-header-padding-y $dropdown-header-padding-x !default; // Deprecated in v5.2.0\n// fusv-enable\n// scss-docs-end dropdown-variables\n\n// scss-docs-start dropdown-dark-variables\n$dropdown-dark-color:               $gray-300 !default;\n$dropdown-dark-bg:                  $gray-800 !default;\n$dropdown-dark-border-color:        $dropdown-border-color !default;\n$dropdown-dark-divider-bg:          $dropdown-divider-bg !default;\n$dropdown-dark-box-shadow:          null !default;\n$dropdown-dark-link-color:          $dropdown-dark-color !default;\n$dropdown-dark-link-hover-color:    $white !default;\n$dropdown-dark-link-hover-bg:       rgba($white, .15) !default;\n$dropdown-dark-link-active-color:   $dropdown-link-active-color !default;\n$dropdown-dark-link-active-bg:      $dropdown-link-active-bg !default;\n$dropdown-dark-link-disabled-color: $gray-500 !default;\n$dropdown-dark-header-color:        $gray-500 !default;\n// scss-docs-end dropdown-dark-variables\n\n\n// Pagination\n\n// scss-docs-start pagination-variables\n$pagination-padding-y:              .375rem !default;\n$pagination-padding-x:              .75rem !default;\n$pagination-padding-y-sm:           .25rem !default;\n$pagination-padding-x-sm:           .5rem !default;\n$pagination-padding-y-lg:           .75rem !default;\n$pagination-padding-x-lg:           1.5rem !default;\n\n$pagination-font-size:              $font-size-base !default;\n\n$pagination-color:                  var(--#{$prefix}link-color) !default;\n$pagination-bg:                     var(--#{$prefix}body-bg) !default;\n$pagination-border-radius:          var(--#{$prefix}border-radius) !default;\n$pagination-border-width:           var(--#{$prefix}border-width) !default;\n$pagination-margin-start:           calc(#{$pagination-border-width} * -1) !default; // stylelint-disable-line function-disallowed-list\n$pagination-border-color:           var(--#{$prefix}border-color) !default;\n\n$pagination-focus-color:            var(--#{$prefix}link-hover-color) !default;\n$pagination-focus-bg:               var(--#{$prefix}secondary-bg) !default;\n$pagination-focus-box-shadow:       $focus-ring-box-shadow !default;\n$pagination-focus-outline:          0 !default;\n\n$pagination-hover-color:            var(--#{$prefix}link-hover-color) !default;\n$pagination-hover-bg:               var(--#{$prefix}tertiary-bg) !default;\n$pagination-hover-border-color:     var(--#{$prefix}border-color) !default; // Todo in v6: remove this?\n\n$pagination-active-color:           $component-active-color !default;\n$pagination-active-bg:              $component-active-bg !default;\n$pagination-active-border-color:    $component-active-bg !default;\n\n$pagination-disabled-color:         var(--#{$prefix}secondary-color) !default;\n$pagination-disabled-bg:            var(--#{$prefix}secondary-bg) !default;\n$pagination-disabled-border-color:  var(--#{$prefix}border-color) !default;\n\n$pagination-transition:              color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$pagination-border-radius-sm:       var(--#{$prefix}border-radius-sm) !default;\n$pagination-border-radius-lg:       var(--#{$prefix}border-radius-lg) !default;\n// scss-docs-end pagination-variables\n\n\n// Placeholders\n\n// scss-docs-start placeholders\n$placeholder-opacity-max:           .5 !default;\n$placeholder-opacity-min:           .2 !default;\n// scss-docs-end placeholders\n\n// Cards\n\n// scss-docs-start card-variables\n$card-spacer-y:                     $spacer !default;\n$card-spacer-x:                     $spacer !default;\n$card-title-spacer-y:               $spacer * .5 !default;\n$card-title-color:                  null !default;\n$card-subtitle-color:               null !default;\n$card-border-width:                 var(--#{$prefix}border-width) !default;\n$card-border-color:                 var(--#{$prefix}border-color-translucent) !default;\n$card-border-radius:                var(--#{$prefix}border-radius) !default;\n$card-box-shadow:                   null !default;\n$card-inner-border-radius:          subtract($card-border-radius, $card-border-width) !default;\n$card-cap-padding-y:                $card-spacer-y * .5 !default;\n$card-cap-padding-x:                $card-spacer-x !default;\n$card-cap-bg:                       rgba(var(--#{$prefix}body-color-rgb), .03) !default;\n$card-cap-color:                    null !default;\n$card-height:                       null !default;\n$card-color:                        null !default;\n$card-bg:                           var(--#{$prefix}body-bg) !default;\n$card-img-overlay-padding:          $spacer !default;\n$card-group-margin:                 $grid-gutter-width * .5 !default;\n// scss-docs-end card-variables\n\n// Accordion\n\n// scss-docs-start accordion-variables\n$accordion-padding-y:                     1rem !default;\n$accordion-padding-x:                     1.25rem !default;\n$accordion-color:                         var(--#{$prefix}body-color) !default;\n$accordion-bg:                            var(--#{$prefix}body-bg) !default;\n$accordion-border-width:                  var(--#{$prefix}border-width) !default;\n$accordion-border-color:                  var(--#{$prefix}border-color) !default;\n$accordion-border-radius:                 var(--#{$prefix}border-radius) !default;\n$accordion-inner-border-radius:           subtract($accordion-border-radius, $accordion-border-width) !default;\n\n$accordion-body-padding-y:                $accordion-padding-y !default;\n$accordion-body-padding-x:                $accordion-padding-x !default;\n\n$accordion-button-padding-y:              $accordion-padding-y !default;\n$accordion-button-padding-x:              $accordion-padding-x !default;\n$accordion-button-color:                  var(--#{$prefix}body-color) !default;\n$accordion-button-bg:                     var(--#{$prefix}accordion-bg) !default;\n$accordion-transition:                    $btn-transition, border-radius .15s ease !default;\n$accordion-button-active-bg:              var(--#{$prefix}primary-bg-subtle) !default;\n$accordion-button-active-color:           var(--#{$prefix}primary-text-emphasis) !default;\n\n// fusv-disable\n$accordion-button-focus-border-color:     $input-focus-border-color !default; // Deprecated in v5.3.3\n// fusv-enable\n$accordion-button-focus-box-shadow:       $btn-focus-box-shadow !default;\n\n$accordion-icon-width:                    1.25rem !default;\n$accordion-icon-color:                    $body-color !default;\n$accordion-icon-active-color:             $primary-text-emphasis !default;\n$accordion-icon-transition:               transform .2s ease-in-out !default;\n$accordion-icon-transform:                rotate(-180deg) !default;\n\n$accordion-button-icon:         url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='none' stroke='#{$accordion-icon-color}' stroke-linecap='round' stroke-linejoin='round'><path d='M2 5L8 11L14 5'/></svg>\") !default;\n$accordion-button-active-icon:  url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='none' stroke='#{$accordion-icon-active-color}' stroke-linecap='round' stroke-linejoin='round'><path d='M2 5L8 11L14 5'/></svg>\") !default;\n// scss-docs-end accordion-variables\n\n// Tooltips\n\n// scss-docs-start tooltip-variables\n$tooltip-font-size:                 $font-size-sm !default;\n$tooltip-max-width:                 200px !default;\n$tooltip-color:                     var(--#{$prefix}body-bg) !default;\n$tooltip-bg:                        var(--#{$prefix}emphasis-color) !default;\n$tooltip-border-radius:             var(--#{$prefix}border-radius) !default;\n$tooltip-opacity:                   .9 !default;\n$tooltip-padding-y:                 $spacer * .25 !default;\n$tooltip-padding-x:                 $spacer * .5 !default;\n$tooltip-margin:                    null !default; // TODO: remove this in v6\n\n$tooltip-arrow-width:               .8rem !default;\n$tooltip-arrow-height:              .4rem !default;\n// fusv-disable\n$tooltip-arrow-color:               null !default; // Deprecated in Bootstrap 5.2.0 for CSS variables\n// fusv-enable\n// scss-docs-end tooltip-variables\n\n// Form tooltips must come after regular tooltips\n// scss-docs-start tooltip-feedback-variables\n$form-feedback-tooltip-padding-y:     $tooltip-padding-y !default;\n$form-feedback-tooltip-padding-x:     $tooltip-padding-x !default;\n$form-feedback-tooltip-font-size:     $tooltip-font-size !default;\n$form-feedback-tooltip-line-height:   null !default;\n$form-feedback-tooltip-opacity:       $tooltip-opacity !default;\n$form-feedback-tooltip-border-radius: $tooltip-border-radius !default;\n// scss-docs-end tooltip-feedback-variables\n\n\n// Popovers\n\n// scss-docs-start popover-variables\n$popover-font-size:                 $font-size-sm !default;\n$popover-bg:                        var(--#{$prefix}body-bg) !default;\n$popover-max-width:                 276px !default;\n$popover-border-width:              var(--#{$prefix}border-width) !default;\n$popover-border-color:              var(--#{$prefix}border-color-translucent) !default;\n$popover-border-radius:             var(--#{$prefix}border-radius-lg) !default;\n$popover-inner-border-radius:       calc(#{$popover-border-radius} - #{$popover-border-width}) !default; // stylelint-disable-line function-disallowed-list\n$popover-box-shadow:                var(--#{$prefix}box-shadow) !default;\n\n$popover-header-font-size:          $font-size-base !default;\n$popover-header-bg:                 var(--#{$prefix}secondary-bg) !default;\n$popover-header-color:              $headings-color !default;\n$popover-header-padding-y:          .5rem !default;\n$popover-header-padding-x:          $spacer !default;\n\n$popover-body-color:                var(--#{$prefix}body-color) !default;\n$popover-body-padding-y:            $spacer !default;\n$popover-body-padding-x:            $spacer !default;\n\n$popover-arrow-width:               1rem !default;\n$popover-arrow-height:              .5rem !default;\n// scss-docs-end popover-variables\n\n// fusv-disable\n// Deprecated in Bootstrap 5.2.0 for CSS variables\n$popover-arrow-color:               $popover-bg !default;\n$popover-arrow-outer-color:         var(--#{$prefix}border-color-translucent) !default;\n// fusv-enable\n\n\n// Toasts\n\n// scss-docs-start toast-variables\n$toast-max-width:                   350px !default;\n$toast-padding-x:                   .75rem !default;\n$toast-padding-y:                   .5rem !default;\n$toast-font-size:                   .875rem !default;\n$toast-color:                       null !default;\n$toast-background-color:            rgba(var(--#{$prefix}body-bg-rgb), .85) !default;\n$toast-border-width:                var(--#{$prefix}border-width) !default;\n$toast-border-color:                var(--#{$prefix}border-color-translucent) !default;\n$toast-border-radius:               var(--#{$prefix}border-radius) !default;\n$toast-box-shadow:                  var(--#{$prefix}box-shadow) !default;\n$toast-spacing:                     $container-padding-x !default;\n\n$toast-header-color:                var(--#{$prefix}secondary-color) !default;\n$toast-header-background-color:     rgba(var(--#{$prefix}body-bg-rgb), .85) !default;\n$toast-header-border-color:         $toast-border-color !default;\n// scss-docs-end toast-variables\n\n\n// Badges\n\n// scss-docs-start badge-variables\n$badge-font-size:                   .75em !default;\n$badge-font-weight:                 $font-weight-bold !default;\n$badge-color:                       $white !default;\n$badge-padding-y:                   .35em !default;\n$badge-padding-x:                   .65em !default;\n$badge-border-radius:               var(--#{$prefix}border-radius) !default;\n// scss-docs-end badge-variables\n\n\n// Modals\n\n// scss-docs-start modal-variables\n$modal-inner-padding:               $spacer !default;\n\n$modal-footer-margin-between:       .5rem !default;\n\n$modal-dialog-margin:               .5rem !default;\n$modal-dialog-margin-y-sm-up:       1.75rem !default;\n\n$modal-title-line-height:           $line-height-base !default;\n\n$modal-content-color:               null !default;\n$modal-content-bg:                  var(--#{$prefix}body-bg) !default;\n$modal-content-border-color:        var(--#{$prefix}border-color-translucent) !default;\n$modal-content-border-width:        var(--#{$prefix}border-width) !default;\n$modal-content-border-radius:       var(--#{$prefix}border-radius-lg) !default;\n$modal-content-inner-border-radius: subtract($modal-content-border-radius, $modal-content-border-width) !default;\n$modal-content-box-shadow-xs:       var(--#{$prefix}box-shadow-sm) !default;\n$modal-content-box-shadow-sm-up:    var(--#{$prefix}box-shadow) !default;\n\n$modal-backdrop-bg:                 $black !default;\n$modal-backdrop-opacity:            .5 !default;\n\n$modal-header-border-color:         var(--#{$prefix}border-color) !default;\n$modal-header-border-width:         $modal-content-border-width !default;\n$modal-header-padding-y:            $modal-inner-padding !default;\n$modal-header-padding-x:            $modal-inner-padding !default;\n$modal-header-padding:              $modal-header-padding-y $modal-header-padding-x !default; // Keep this for backwards compatibility\n\n$modal-footer-bg:                   null !default;\n$modal-footer-border-color:         $modal-header-border-color !default;\n$modal-footer-border-width:         $modal-header-border-width !default;\n\n$modal-sm:                          300px !default;\n$modal-md:                          500px !default;\n$modal-lg:                          800px !default;\n$modal-xl:                          1140px !default;\n\n$modal-fade-transform:              translate(0, -50px) !default;\n$modal-show-transform:              none !default;\n$modal-transition:                  transform .3s ease-out !default;\n$modal-scale-transform:             scale(1.02) !default;\n// scss-docs-end modal-variables\n\n\n// Alerts\n//\n// Define alert colors, border radius, and padding.\n\n// scss-docs-start alert-variables\n$alert-padding-y:               $spacer !default;\n$alert-padding-x:               $spacer !default;\n$alert-margin-bottom:           1rem !default;\n$alert-border-radius:           var(--#{$prefix}border-radius) !default;\n$alert-link-font-weight:        $font-weight-bold !default;\n$alert-border-width:            var(--#{$prefix}border-width) !default;\n$alert-dismissible-padding-r:   $alert-padding-x * 3 !default; // 3x covers width of x plus default padding on either side\n// scss-docs-end alert-variables\n\n// fusv-disable\n$alert-bg-scale:                -80% !default; // Deprecated in v5.2.0, to be removed in v6\n$alert-border-scale:            -70% !default; // Deprecated in v5.2.0, to be removed in v6\n$alert-color-scale:             40% !default; // Deprecated in v5.2.0, to be removed in v6\n// fusv-enable\n\n// Progress bars\n\n// scss-docs-start progress-variables\n$progress-height:                   1rem !default;\n$progress-font-size:                $font-size-base * .75 !default;\n$progress-bg:                       var(--#{$prefix}secondary-bg) !default;\n$progress-border-radius:            var(--#{$prefix}border-radius) !default;\n$progress-box-shadow:               var(--#{$prefix}box-shadow-inset) !default;\n$progress-bar-color:                $white !default;\n$progress-bar-bg:                   $primary !default;\n$progress-bar-animation-timing:     1s linear infinite !default;\n$progress-bar-transition:           width .6s ease !default;\n// scss-docs-end progress-variables\n\n\n// List group\n\n// scss-docs-start list-group-variables\n$list-group-color:                  var(--#{$prefix}body-color) !default;\n$list-group-bg:                     var(--#{$prefix}body-bg) !default;\n$list-group-border-color:           var(--#{$prefix}border-color) !default;\n$list-group-border-width:           var(--#{$prefix}border-width) !default;\n$list-group-border-radius:          var(--#{$prefix}border-radius) !default;\n\n$list-group-item-padding-y:         $spacer * .5 !default;\n$list-group-item-padding-x:         $spacer !default;\n// fusv-disable\n$list-group-item-bg-scale:          -80% !default; // Deprecated in v5.3.0\n$list-group-item-color-scale:       40% !default; // Deprecated in v5.3.0\n// fusv-enable\n\n$list-group-hover-bg:               var(--#{$prefix}tertiary-bg) !default;\n$list-group-active-color:           $component-active-color !default;\n$list-group-active-bg:              $component-active-bg !default;\n$list-group-active-border-color:    $list-group-active-bg !default;\n\n$list-group-disabled-color:         var(--#{$prefix}secondary-color) !default;\n$list-group-disabled-bg:            $list-group-bg !default;\n\n$list-group-action-color:           var(--#{$prefix}secondary-color) !default;\n$list-group-action-hover-color:     var(--#{$prefix}emphasis-color) !default;\n\n$list-group-action-active-color:    var(--#{$prefix}body-color) !default;\n$list-group-action-active-bg:       var(--#{$prefix}secondary-bg) !default;\n// scss-docs-end list-group-variables\n\n\n// Image thumbnails\n\n// scss-docs-start thumbnail-variables\n$thumbnail-padding:                 .25rem !default;\n$thumbnail-bg:                      var(--#{$prefix}body-bg) !default;\n$thumbnail-border-width:            var(--#{$prefix}border-width) !default;\n$thumbnail-border-color:            var(--#{$prefix}border-color) !default;\n$thumbnail-border-radius:           var(--#{$prefix}border-radius) !default;\n$thumbnail-box-shadow:              var(--#{$prefix}box-shadow-sm) !default;\n// scss-docs-end thumbnail-variables\n\n\n// Figures\n\n// scss-docs-start figure-variables\n$figure-caption-font-size:          $small-font-size !default;\n$figure-caption-color:              var(--#{$prefix}secondary-color) !default;\n// scss-docs-end figure-variables\n\n\n// Breadcrumbs\n\n// scss-docs-start breadcrumb-variables\n$breadcrumb-font-size:              null !default;\n$breadcrumb-padding-y:              0 !default;\n$breadcrumb-padding-x:              0 !default;\n$breadcrumb-item-padding-x:         .5rem !default;\n$breadcrumb-margin-bottom:          1rem !default;\n$breadcrumb-bg:                     null !default;\n$breadcrumb-divider-color:          var(--#{$prefix}secondary-color) !default;\n$breadcrumb-active-color:           var(--#{$prefix}secondary-color) !default;\n$breadcrumb-divider:                quote(\"/\") !default;\n$breadcrumb-divider-flipped:        $breadcrumb-divider !default;\n$breadcrumb-border-radius:          null !default;\n// scss-docs-end breadcrumb-variables\n\n// Carousel\n\n// scss-docs-start carousel-variables\n$carousel-control-color:             $white !default;\n$carousel-control-width:             15% !default;\n$carousel-control-opacity:           .5 !default;\n$carousel-control-hover-opacity:     .9 !default;\n$carousel-control-transition:        opacity .15s ease !default;\n\n$carousel-indicator-width:           30px !default;\n$carousel-indicator-height:          3px !default;\n$carousel-indicator-hit-area-height: 10px !default;\n$carousel-indicator-spacer:          3px !default;\n$carousel-indicator-opacity:         .5 !default;\n$carousel-indicator-active-bg:       $white !default;\n$carousel-indicator-active-opacity:  1 !default;\n$carousel-indicator-transition:      opacity .6s ease !default;\n\n$carousel-caption-width:             70% !default;\n$carousel-caption-color:             $white !default;\n$carousel-caption-padding-y:         1.25rem !default;\n$carousel-caption-spacer:            1.25rem !default;\n\n$carousel-control-icon-width:        2rem !default;\n\n$carousel-control-prev-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$carousel-control-color}'><path d='M11.354 1.646a.5.5 0 0 1 0 .708L5.707 8l5.647 5.646a.5.5 0 0 1-.708.708l-6-6a.5.5 0 0 1 0-.708l6-6a.5.5 0 0 1 .708 0z'/></svg>\") !default;\n$carousel-control-next-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$carousel-control-color}'><path d='M4.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L10.293 8 4.646 2.354a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n\n$carousel-transition-duration:       .6s !default;\n$carousel-transition:                transform $carousel-transition-duration ease-in-out !default; // Define transform transition first if using multiple transitions (e.g., `transform 2s ease, opacity .5s ease-out`)\n// scss-docs-end carousel-variables\n\n// scss-docs-start carousel-dark-variables\n$carousel-dark-indicator-active-bg:  $black !default;\n$carousel-dark-caption-color:        $black !default;\n$carousel-dark-control-icon-filter:  invert(1) grayscale(100) !default;\n// scss-docs-end carousel-dark-variables\n\n\n// Spinners\n\n// scss-docs-start spinner-variables\n$spinner-width:           2rem !default;\n$spinner-height:          $spinner-width !default;\n$spinner-vertical-align:  -.125em !default;\n$spinner-border-width:    .25em !default;\n$spinner-animation-speed: .75s !default;\n\n$spinner-width-sm:        1rem !default;\n$spinner-height-sm:       $spinner-width-sm !default;\n$spinner-border-width-sm: .2em !default;\n// scss-docs-end spinner-variables\n\n\n// Close\n\n// scss-docs-start close-variables\n$btn-close-width:            1em !default;\n$btn-close-height:           $btn-close-width !default;\n$btn-close-padding-x:        .25em !default;\n$btn-close-padding-y:        $btn-close-padding-x !default;\n$btn-close-color:            $black !default;\n$btn-close-bg:               url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$btn-close-color}'><path d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/></svg>\") !default;\n$btn-close-focus-shadow:     $focus-ring-box-shadow !default;\n$btn-close-opacity:          .5 !default;\n$btn-close-hover-opacity:    .75 !default;\n$btn-close-focus-opacity:    1 !default;\n$btn-close-disabled-opacity: .25 !default;\n$btn-close-white-filter:     invert(1) grayscale(100%) brightness(200%) !default;\n// scss-docs-end close-variables\n\n\n// Offcanvas\n\n// scss-docs-start offcanvas-variables\n$offcanvas-padding-y:               $modal-inner-padding !default;\n$offcanvas-padding-x:               $modal-inner-padding !default;\n$offcanvas-horizontal-width:        400px !default;\n$offcanvas-vertical-height:         30vh !default;\n$offcanvas-transition-duration:     .3s !default;\n$offcanvas-border-color:            $modal-content-border-color !default;\n$offcanvas-border-width:            $modal-content-border-width !default;\n$offcanvas-title-line-height:       $modal-title-line-height !default;\n$offcanvas-bg-color:                var(--#{$prefix}body-bg) !default;\n$offcanvas-color:                   var(--#{$prefix}body-color) !default;\n$offcanvas-box-shadow:              $modal-content-box-shadow-xs !default;\n$offcanvas-backdrop-bg:             $modal-backdrop-bg !default;\n$offcanvas-backdrop-opacity:        $modal-backdrop-opacity !default;\n// scss-docs-end offcanvas-variables\n\n// Code\n\n$code-font-size:                    $small-font-size !default;\n$code-color:                        $pink !default;\n\n$kbd-padding-y:                     .1875rem !default;\n$kbd-padding-x:                     .375rem !default;\n$kbd-font-size:                     $code-font-size !default;\n$kbd-color:                         var(--#{$prefix}body-bg) !default;\n$kbd-bg:                            var(--#{$prefix}body-color) !default;\n$nested-kbd-font-weight:            null !default; // Deprecated in v5.2.0, removing in v6\n\n$pre-color:                         null !default;\n\n@import \"variables-dark\"; // TODO: can be removed safely in v6, only here to avoid breaking changes in v5.3\n","// stylelint-disable property-disallowed-list\n// Single side border-radius\n\n// Helper function to replace negative values with 0\n@function valid-radius($radius) {\n  $return: ();\n  @each $value in $radius {\n    @if type-of($value) == number {\n      $return: append($return, max($value, 0));\n    } @else {\n      $return: append($return, $value);\n    }\n  }\n  @return $return;\n}\n\n// scss-docs-start border-radius-mixins\n@mixin border-radius($radius: $border-radius, $fallback-border-radius: false) {\n  @if $enable-rounded {\n    border-radius: valid-radius($radius);\n  }\n  @else if $fallback-border-radius != false {\n    border-radius: $fallback-border-radius;\n  }\n}\n\n@mixin border-top-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-left-radius: valid-radius($radius);\n    border-top-right-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-end-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-right-radius: valid-radius($radius);\n    border-bottom-right-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-bottom-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-bottom-right-radius: valid-radius($radius);\n    border-bottom-left-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-start-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-left-radius: valid-radius($radius);\n    border-bottom-left-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-top-start-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-left-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-top-end-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-right-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-bottom-end-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-bottom-right-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-bottom-start-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-bottom-left-radius: valid-radius($radius);\n  }\n}\n// scss-docs-end border-radius-mixins\n","// Lists\n\n// Unstyled keeps list items block level, just removes default browser padding and list-style\n@mixin list-unstyled {\n  padding-left: 0;\n  list-style: none;\n}\n","// Responsive images (ensure images don't scale beyond their parents)\n//\n// This is purposefully opt-in via an explicit class rather than being the default for all `<img>`s.\n// We previously tried the \"images are responsive by default\" approach in Bootstrap v2,\n// and abandoned it in Bootstrap v3 because it breaks lots of third-party widgets (including Google Maps)\n// which weren't expecting the images within themselves to be involuntarily resized.\n// See also https://github.com/twbs/bootstrap/issues/18178\n.img-fluid {\n  @include img-fluid();\n}\n\n\n// Image thumbnails\n.img-thumbnail {\n  padding: $thumbnail-padding;\n  background-color: $thumbnail-bg;\n  border: $thumbnail-border-width solid $thumbnail-border-color;\n  @include border-radius($thumbnail-border-radius);\n  @include box-shadow($thumbnail-box-shadow);\n\n  // Keep them at most 100% wide\n  @include img-fluid();\n}\n\n//\n// Figures\n//\n\n.figure {\n  // Ensures the caption's text aligns with the image.\n  display: inline-block;\n}\n\n.figure-img {\n  margin-bottom: $spacer * .5;\n  line-height: 1;\n}\n\n.figure-caption {\n  @include font-size($figure-caption-font-size);\n  color: $figure-caption-color;\n}\n","// Image Mixins\n// - Responsive image\n// - Retina image\n\n\n// Responsive image\n//\n// Keep images from scaling beyond the width of their parents.\n\n@mixin img-fluid {\n  // Part 1: Set a maximum relative to the parent\n  max-width: 100%;\n  // Part 2: Override the height to auto, otherwise images will be stretched\n  // when setting a width and height attribute on the img element.\n  height: auto;\n}\n","// Container widths\n//\n// Set the container width, and override it for fixed navbars in media queries.\n\n@if $enable-container-classes {\n  // Single container class with breakpoint max-widths\n  .container,\n  // 100% wide container at all breakpoints\n  .container-fluid {\n    @include make-container();\n  }\n\n  // Responsive containers that are 100% wide until a breakpoint\n  @each $breakpoint, $container-max-width in $container-max-widths {\n    .container-#{$breakpoint} {\n      @extend .container-fluid;\n    }\n\n    @include media-breakpoint-up($breakpoint, $grid-breakpoints) {\n      %responsive-container-#{$breakpoint} {\n        max-width: $container-max-width;\n      }\n\n      // Extend each breakpoint which is smaller or equal to the current breakpoint\n      $extend-breakpoint: true;\n\n      @each $name, $width in $grid-breakpoints {\n        @if ($extend-breakpoint) {\n          .container#{breakpoint-infix($name, $grid-breakpoints)} {\n            @extend %responsive-container-#{$breakpoint};\n          }\n\n          // Once the current breakpoint is reached, stop extending\n          @if ($breakpoint == $name) {\n            $extend-breakpoint: false;\n          }\n        }\n      }\n    }\n  }\n}\n","// Container mixins\n\n@mixin make-container($gutter: $container-padding-x) {\n  --#{$prefix}gutter-x: #{$gutter};\n  --#{$prefix}gutter-y: 0;\n  width: 100%;\n  padding-right: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  padding-left: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  margin-right: auto;\n  margin-left: auto;\n}\n","// Breakpoint viewport sizes and media queries.\n//\n// Breakpoints are defined as a map of (name: minimum width), order from small to large:\n//\n//    (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px)\n//\n// The map defined in the `$grid-breakpoints` global variable is used as the `$breakpoints` argument by default.\n\n// Name of the next breakpoint, or null for the last breakpoint.\n//\n//    >> breakpoint-next(sm)\n//    md\n//    >> breakpoint-next(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    md\n//    >> breakpoint-next(sm, $breakpoint-names: (xs sm md lg xl xxl))\n//    md\n@function breakpoint-next($name, $breakpoints: $grid-breakpoints, $breakpoint-names: map-keys($breakpoints)) {\n  $n: index($breakpoint-names, $name);\n  @if not $n {\n    @error \"breakpoint `#{$name}` not found in `#{$breakpoints}`\";\n  }\n  @return if($n < length($breakpoint-names), nth($breakpoint-names, $n + 1), null);\n}\n\n// Minimum breakpoint width. Null for the smallest (first) breakpoint.\n//\n//    >> breakpoint-min(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    576px\n@function breakpoint-min($name, $breakpoints: $grid-breakpoints) {\n  $min: map-get($breakpoints, $name);\n  @return if($min != 0, $min, null);\n}\n\n// Maximum breakpoint width.\n// The maximum value is reduced by 0.02px to work around the limitations of\n// `min-` and `max-` prefixes and viewports with fractional widths.\n// See https://www.w3.org/TR/mediaqueries-4/#mq-min-max\n// Uses 0.02px rather than 0.01px to work around a current rounding bug in Safari.\n// See https://bugs.webkit.org/show_bug.cgi?id=178261\n//\n//    >> breakpoint-max(md, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    767.98px\n@function breakpoint-max($name, $breakpoints: $grid-breakpoints) {\n  $max: map-get($breakpoints, $name);\n  @return if($max and $max > 0, $max - .02, null);\n}\n\n// Returns a blank string if smallest breakpoint, otherwise returns the name with a dash in front.\n// Useful for making responsive utilities.\n//\n//    >> breakpoint-infix(xs, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    \"\"  (Returns a blank string)\n//    >> breakpoint-infix(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    \"-sm\"\n@function breakpoint-infix($name, $breakpoints: $grid-breakpoints) {\n  @return if(breakpoint-min($name, $breakpoints) == null, \"\", \"-#{$name}\");\n}\n\n// Media of at least the minimum breakpoint width. No query for the smallest breakpoint.\n// Makes the @content apply to the given breakpoint and wider.\n@mixin media-breakpoint-up($name, $breakpoints: $grid-breakpoints) {\n  $min: breakpoint-min($name, $breakpoints);\n  @if $min {\n    @media (min-width: $min) {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Media of at most the maximum breakpoint width. No query for the largest breakpoint.\n// Makes the @content apply to the given breakpoint and narrower.\n@mixin media-breakpoint-down($name, $breakpoints: $grid-breakpoints) {\n  $max: breakpoint-max($name, $breakpoints);\n  @if $max {\n    @media (max-width: $max) {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Media that spans multiple breakpoint widths.\n// Makes the @content apply between the min and max breakpoints\n@mixin media-breakpoint-between($lower, $upper, $breakpoints: $grid-breakpoints) {\n  $min: breakpoint-min($lower, $breakpoints);\n  $max: breakpoint-max($upper, $breakpoints);\n\n  @if $min != null and $max != null {\n    @media (min-width: $min) and (max-width: $max) {\n      @content;\n    }\n  } @else if $max == null {\n    @include media-breakpoint-up($lower, $breakpoints) {\n      @content;\n    }\n  } @else if $min == null {\n    @include media-breakpoint-down($upper, $breakpoints) {\n      @content;\n    }\n  }\n}\n\n// Media between the breakpoint's minimum and maximum widths.\n// No minimum for the smallest breakpoint, and no maximum for the largest one.\n// Makes the @content apply only to the given breakpoint, not viewports any wider or narrower.\n@mixin media-breakpoint-only($name, $breakpoints: $grid-breakpoints) {\n  $min:  breakpoint-min($name, $breakpoints);\n  $next: breakpoint-next($name, $breakpoints);\n  $max:  breakpoint-max($next, $breakpoints);\n\n  @if $min != null and $max != null {\n    @media (min-width: $min) and (max-width: $max) {\n      @content;\n    }\n  } @else if $max == null {\n    @include media-breakpoint-up($name, $breakpoints) {\n      @content;\n    }\n  } @else if $min == null {\n    @include media-breakpoint-down($next, $breakpoints) {\n      @content;\n    }\n  }\n}\n","// Row\n//\n// Rows contain your columns.\n\n:root {\n  @each $name, $value in $grid-breakpoints {\n    --#{$prefix}breakpoint-#{$name}: #{$value};\n  }\n}\n\n@if $enable-grid-classes {\n  .row {\n    @include make-row();\n\n    > * {\n      @include make-col-ready();\n    }\n  }\n}\n\n@if $enable-cssgrid {\n  .grid {\n    display: grid;\n    grid-template-rows: repeat(var(--#{$prefix}rows, 1), 1fr);\n    grid-template-columns: repeat(var(--#{$prefix}columns, #{$grid-columns}), 1fr);\n    gap: var(--#{$prefix}gap, #{$grid-gutter-width});\n\n    @include make-cssgrid();\n  }\n}\n\n\n// Columns\n//\n// Common styles for small and large grid columns\n\n@if $enable-grid-classes {\n  @include make-grid-columns();\n}\n","// Grid system\n//\n// Generate semantic grid columns with these mixins.\n\n@mixin make-row($gutter: $grid-gutter-width) {\n  --#{$prefix}gutter-x: #{$gutter};\n  --#{$prefix}gutter-y: 0;\n  display: flex;\n  flex-wrap: wrap;\n  // TODO: Revisit calc order after https://github.com/react-bootstrap/react-bootstrap/issues/6039 is fixed\n  margin-top: calc(-1 * var(--#{$prefix}gutter-y)); // stylelint-disable-line function-disallowed-list\n  margin-right: calc(-.5 * var(--#{$prefix}gutter-x)); // stylelint-disable-line function-disallowed-list\n  margin-left: calc(-.5 * var(--#{$prefix}gutter-x)); // stylelint-disable-line function-disallowed-list\n}\n\n@mixin make-col-ready() {\n  // Add box sizing if only the grid is loaded\n  box-sizing: if(variable-exists(include-column-box-sizing) and $include-column-box-sizing, border-box, null);\n  // Prevent columns from becoming too narrow when at smaller grid tiers by\n  // always setting `width: 100%;`. This works because we set the width\n  // later on to override this initial width.\n  flex-shrink: 0;\n  width: 100%;\n  max-width: 100%; // Prevent `.col-auto`, `.col` (& responsive variants) from breaking out the grid\n  padding-right: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  padding-left: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  margin-top: var(--#{$prefix}gutter-y);\n}\n\n@mixin make-col($size: false, $columns: $grid-columns) {\n  @if $size {\n    flex: 0 0 auto;\n    width: percentage(divide($size, $columns));\n\n  } @else {\n    flex: 1 1 0;\n    max-width: 100%;\n  }\n}\n\n@mixin make-col-auto() {\n  flex: 0 0 auto;\n  width: auto;\n}\n\n@mixin make-col-offset($size, $columns: $grid-columns) {\n  $num: divide($size, $columns);\n  margin-left: if($num == 0, 0, percentage($num));\n}\n\n// Row columns\n//\n// Specify on a parent element(e.g., .row) to force immediate children into NN\n// number of columns. Supports wrapping to new lines, but does not do a Masonry\n// style grid.\n@mixin row-cols($count) {\n  > * {\n    flex: 0 0 auto;\n    width: percentage(divide(1, $count));\n  }\n}\n\n// Framework grid generation\n//\n// Used only by Bootstrap to generate the correct number of grid classes given\n// any value of `$grid-columns`.\n\n@mixin make-grid-columns($columns: $grid-columns, $gutter: $grid-gutter-width, $breakpoints: $grid-breakpoints) {\n  @each $breakpoint in map-keys($breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $breakpoints);\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      // Provide basic `.col-{bp}` classes for equal-width flexbox columns\n      .col#{$infix} {\n        flex: 1 0 0%; // Flexbugs #4: https://github.com/philipwalton/flexbugs#flexbug-4\n      }\n\n      .row-cols#{$infix}-auto > * {\n        @include make-col-auto();\n      }\n\n      @if $grid-row-columns > 0 {\n        @for $i from 1 through $grid-row-columns {\n          .row-cols#{$infix}-#{$i} {\n            @include row-cols($i);\n          }\n        }\n      }\n\n      .col#{$infix}-auto {\n        @include make-col-auto();\n      }\n\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .col#{$infix}-#{$i} {\n            @include make-col($i, $columns);\n          }\n        }\n\n        // `$columns - 1` because offsetting by the width of an entire row isn't possible\n        @for $i from 0 through ($columns - 1) {\n          @if not ($infix == \"\" and $i == 0) { // Avoid emitting useless .offset-0\n            .offset#{$infix}-#{$i} {\n              @include make-col-offset($i, $columns);\n            }\n          }\n        }\n      }\n\n      // Gutters\n      //\n      // Make use of `.g-*`, `.gx-*` or `.gy-*` utilities to change spacing between the columns.\n      @each $key, $value in $gutters {\n        .g#{$infix}-#{$key},\n        .gx#{$infix}-#{$key} {\n          --#{$prefix}gutter-x: #{$value};\n        }\n\n        .g#{$infix}-#{$key},\n        .gy#{$infix}-#{$key} {\n          --#{$prefix}gutter-y: #{$value};\n        }\n      }\n    }\n  }\n}\n\n@mixin make-cssgrid($columns: $grid-columns, $breakpoints: $grid-breakpoints) {\n  @each $breakpoint in map-keys($breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $breakpoints);\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .g-col#{$infix}-#{$i} {\n            grid-column: auto / span $i;\n          }\n        }\n\n        // Start with `1` because `0` is an invalid value.\n        // Ends with `$columns - 1` because offsetting by the width of an entire row isn't possible.\n        @for $i from 1 through ($columns - 1) {\n          .g-start#{$infix}-#{$i} {\n            grid-column-start: $i;\n          }\n        }\n      }\n    }\n  }\n}\n","//\n// Basic Bootstrap table\n//\n\n.table {\n  // Reset needed for nesting tables\n  --#{$prefix}table-color-type: initial;\n  --#{$prefix}table-bg-type: initial;\n  --#{$prefix}table-color-state: initial;\n  --#{$prefix}table-bg-state: initial;\n  // End of reset\n  --#{$prefix}table-color: #{$table-color};\n  --#{$prefix}table-bg: #{$table-bg};\n  --#{$prefix}table-border-color: #{$table-border-color};\n  --#{$prefix}table-accent-bg: #{$table-accent-bg};\n  --#{$prefix}table-striped-color: #{$table-striped-color};\n  --#{$prefix}table-striped-bg: #{$table-striped-bg};\n  --#{$prefix}table-active-color: #{$table-active-color};\n  --#{$prefix}table-active-bg: #{$table-active-bg};\n  --#{$prefix}table-hover-color: #{$table-hover-color};\n  --#{$prefix}table-hover-bg: #{$table-hover-bg};\n\n  width: 100%;\n  margin-bottom: $spacer;\n  vertical-align: $table-cell-vertical-align;\n  border-color: var(--#{$prefix}table-border-color);\n\n  // Target th & td\n  // We need the child combinator to prevent styles leaking to nested tables which doesn't have a `.table` class.\n  // We use the universal selectors here to simplify the selector (else we would need 6 different selectors).\n  // Another advantage is that this generates less code and makes the selector less specific making it easier to override.\n  // stylelint-disable-next-line selector-max-universal\n  > :not(caption) > * > * {\n    padding: $table-cell-padding-y $table-cell-padding-x;\n    // Following the precept of cascades: https://codepen.io/miriamsuzanne/full/vYNgodb\n    color: var(--#{$prefix}table-color-state, var(--#{$prefix}table-color-type, var(--#{$prefix}table-color)));\n    background-color: var(--#{$prefix}table-bg);\n    border-bottom-width: $table-border-width;\n    box-shadow: inset 0 0 0 9999px var(--#{$prefix}table-bg-state, var(--#{$prefix}table-bg-type, var(--#{$prefix}table-accent-bg)));\n  }\n\n  > tbody {\n    vertical-align: inherit;\n  }\n\n  > thead {\n    vertical-align: bottom;\n  }\n}\n\n.table-group-divider {\n  border-top: calc(#{$table-border-width} * 2) solid $table-group-separator-color; // stylelint-disable-line function-disallowed-list\n}\n\n//\n// Change placement of captions with a class\n//\n\n.caption-top {\n  caption-side: top;\n}\n\n\n//\n// Condensed table w/ half padding\n//\n\n.table-sm {\n  // stylelint-disable-next-line selector-max-universal\n  > :not(caption) > * > * {\n    padding: $table-cell-padding-y-sm $table-cell-padding-x-sm;\n  }\n}\n\n\n// Border versions\n//\n// Add or remove borders all around the table and between all the columns.\n//\n// When borders are added on all sides of the cells, the corners can render odd when\n// these borders do not have the same color or if they are semi-transparent.\n// Therefore we add top and border bottoms to the `tr`s and left and right borders\n// to the `td`s or `th`s\n\n.table-bordered {\n  > :not(caption) > * {\n    border-width: $table-border-width 0;\n\n    // stylelint-disable-next-line selector-max-universal\n    > * {\n      border-width: 0 $table-border-width;\n    }\n  }\n}\n\n.table-borderless {\n  // stylelint-disable-next-line selector-max-universal\n  > :not(caption) > * > * {\n    border-bottom-width: 0;\n  }\n\n  > :not(:first-child) {\n    border-top-width: 0;\n  }\n}\n\n// Zebra-striping\n//\n// Default zebra-stripe styles (alternating gray and transparent backgrounds)\n\n// For rows\n.table-striped {\n  > tbody > tr:nth-of-type(#{$table-striped-order}) > * {\n    --#{$prefix}table-color-type: var(--#{$prefix}table-striped-color);\n    --#{$prefix}table-bg-type: var(--#{$prefix}table-striped-bg);\n  }\n}\n\n// For columns\n.table-striped-columns {\n  > :not(caption) > tr > :nth-child(#{$table-striped-columns-order}) {\n    --#{$prefix}table-color-type: var(--#{$prefix}table-striped-color);\n    --#{$prefix}table-bg-type: var(--#{$prefix}table-striped-bg);\n  }\n}\n\n// Active table\n//\n// The `.table-active` class can be added to highlight rows or cells\n\n.table-active {\n  --#{$prefix}table-color-state: var(--#{$prefix}table-active-color);\n  --#{$prefix}table-bg-state: var(--#{$prefix}table-active-bg);\n}\n\n// Hover effect\n//\n// Placed here since it has to come after the potential zebra striping\n\n.table-hover {\n  > tbody > tr:hover > * {\n    --#{$prefix}table-color-state: var(--#{$prefix}table-hover-color);\n    --#{$prefix}table-bg-state: var(--#{$prefix}table-hover-bg);\n  }\n}\n\n\n// Table variants\n//\n// Table variants set the table cell backgrounds, border colors\n// and the colors of the striped, hovered & active tables\n\n@each $color, $value in $table-variants {\n  @include table-variant($color, $value);\n}\n\n// Responsive tables\n//\n// Generate series of `.table-responsive-*` classes for configuring the screen\n// size of where your table will overflow.\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n  @include media-breakpoint-down($breakpoint) {\n    .table-responsive#{$infix} {\n      overflow-x: auto;\n      -webkit-overflow-scrolling: touch;\n    }\n  }\n}\n","// scss-docs-start table-variant\n@mixin table-variant($state, $background) {\n  .table-#{$state} {\n    $color: color-contrast(opaque($body-bg, $background));\n    $hover-bg: mix($color, $background, percentage($table-hover-bg-factor));\n    $striped-bg: mix($color, $background, percentage($table-striped-bg-factor));\n    $active-bg: mix($color, $background, percentage($table-active-bg-factor));\n    $table-border-color: mix($color, $background, percentage($table-border-factor));\n\n    --#{$prefix}table-color: #{$color};\n    --#{$prefix}table-bg: #{$background};\n    --#{$prefix}table-border-color: #{$table-border-color};\n    --#{$prefix}table-striped-bg: #{$striped-bg};\n    --#{$prefix}table-striped-color: #{color-contrast($striped-bg)};\n    --#{$prefix}table-active-bg: #{$active-bg};\n    --#{$prefix}table-active-color: #{color-contrast($active-bg)};\n    --#{$prefix}table-hover-bg: #{$hover-bg};\n    --#{$prefix}table-hover-color: #{color-contrast($hover-bg)};\n\n    color: var(--#{$prefix}table-color);\n    border-color: var(--#{$prefix}table-border-color);\n  }\n}\n// scss-docs-end table-variant\n","//\n// Labels\n//\n\n.form-label {\n  margin-bottom: $form-label-margin-bottom;\n  @include font-size($form-label-font-size);\n  font-style: $form-label-font-style;\n  font-weight: $form-label-font-weight;\n  color: $form-label-color;\n}\n\n// For use with horizontal and inline forms, when you need the label (or legend)\n// text to align with the form controls.\n.col-form-label {\n  padding-top: add($input-padding-y, $input-border-width);\n  padding-bottom: add($input-padding-y, $input-border-width);\n  margin-bottom: 0; // Override the `<legend>` default\n  @include font-size(inherit); // Override the `<legend>` default\n  font-style: $form-label-font-style;\n  font-weight: $form-label-font-weight;\n  line-height: $input-line-height;\n  color: $form-label-color;\n}\n\n.col-form-label-lg {\n  padding-top: add($input-padding-y-lg, $input-border-width);\n  padding-bottom: add($input-padding-y-lg, $input-border-width);\n  @include font-size($input-font-size-lg);\n}\n\n.col-form-label-sm {\n  padding-top: add($input-padding-y-sm, $input-border-width);\n  padding-bottom: add($input-padding-y-sm, $input-border-width);\n  @include font-size($input-font-size-sm);\n}\n","//\n// Form text\n//\n\n.form-text {\n  margin-top: $form-text-margin-top;\n  @include font-size($form-text-font-size);\n  font-style: $form-text-font-style;\n  font-weight: $form-text-font-weight;\n  color: $form-text-color;\n}\n","//\n// General form controls (plus a few specific high-level interventions)\n//\n\n.form-control {\n  display: block;\n  width: 100%;\n  padding: $input-padding-y $input-padding-x;\n  font-family: $input-font-family;\n  @include font-size($input-font-size);\n  font-weight: $input-font-weight;\n  line-height: $input-line-height;\n  color: $input-color;\n  appearance: none; // Fix appearance for date inputs in Safari\n  background-color: $input-bg;\n  background-clip: padding-box;\n  border: $input-border-width solid $input-border-color;\n\n  // Note: This has no effect on <select>s in some browsers, due to the limited stylability of `<select>`s in CSS.\n  @include border-radius($input-border-radius, 0);\n\n  @include box-shadow($input-box-shadow);\n  @include transition($input-transition);\n\n  &[type=\"file\"] {\n    overflow: hidden; // prevent pseudo element button overlap\n\n    &:not(:disabled):not([readonly]) {\n      cursor: pointer;\n    }\n  }\n\n  // Customize the `:focus` state to imitate native WebKit styles.\n  &:focus {\n    color: $input-focus-color;\n    background-color: $input-focus-bg;\n    border-color: $input-focus-border-color;\n    outline: 0;\n    @if $enable-shadows {\n      @include box-shadow($input-box-shadow, $input-focus-box-shadow);\n    } @else {\n      // Avoid using mixin so we can pass custom focus shadow properly\n      box-shadow: $input-focus-box-shadow;\n    }\n  }\n\n  &::-webkit-date-and-time-value {\n    // On Android Chrome, form-control's \"width: 100%\" makes the input width too small\n    // Tested under Android 11 / Chrome 89, Android 12 / Chrome 100, Android 13 / Chrome 109\n    //\n    // On iOS Safari, form-control's \"appearance: none\" + \"width: 100%\" makes the input width too small\n    // Tested under iOS 16.2 / Safari 16.2\n    min-width: 85px; // Seems to be a good minimum safe width\n\n    // Add some height to date inputs on iOS\n    // https://github.com/twbs/bootstrap/issues/23307\n    // TODO: we can remove this workaround once https://bugs.webkit.org/show_bug.cgi?id=198959 is resolved\n    // Multiply line-height by 1em if it has no unit\n    height: if(unit($input-line-height) == \"\", $input-line-height * 1em, $input-line-height);\n\n    // Android Chrome type=\"date\" is taller than the other inputs\n    // because of \"margin: 1px 24px 1px 4px\" inside the shadow DOM\n    // Tested under Android 11 / Chrome 89, Android 12 / Chrome 100, Android 13 / Chrome 109\n    margin: 0;\n  }\n\n  // Prevent excessive date input height in Webkit\n  // https://github.com/twbs/bootstrap/issues/34433\n  &::-webkit-datetime-edit {\n    display: block;\n    padding: 0;\n  }\n\n  // Placeholder\n  &::placeholder {\n    color: $input-placeholder-color;\n    // Override Firefox's unusual default opacity; see https://github.com/twbs/bootstrap/pull/11526.\n    opacity: 1;\n  }\n\n  // Disabled inputs\n  //\n  // HTML5 says that controls under a fieldset > legend:first-child won't be\n  // disabled if the fieldset is disabled. Due to implementation difficulty, we\n  // don't honor that edge case; we style them as disabled anyway.\n  &:disabled {\n    color: $input-disabled-color;\n    background-color: $input-disabled-bg;\n    border-color: $input-disabled-border-color;\n    // iOS fix for unreadable disabled content; see https://github.com/twbs/bootstrap/issues/11655.\n    opacity: 1;\n  }\n\n  // File input buttons theming\n  &::file-selector-button {\n    padding: $input-padding-y $input-padding-x;\n    margin: (-$input-padding-y) (-$input-padding-x);\n    margin-inline-end: $input-padding-x;\n    color: $form-file-button-color;\n    @include gradient-bg($form-file-button-bg);\n    pointer-events: none;\n    border-color: inherit;\n    border-style: solid;\n    border-width: 0;\n    border-inline-end-width: $input-border-width;\n    border-radius: 0; // stylelint-disable-line property-disallowed-list\n    @include transition($btn-transition);\n  }\n\n  &:hover:not(:disabled):not([readonly])::file-selector-button {\n    background-color: $form-file-button-hover-bg;\n  }\n}\n\n// Readonly controls as plain text\n//\n// Apply class to a readonly input to make it appear like regular plain\n// text (without any border, background color, focus indicator)\n\n.form-control-plaintext {\n  display: block;\n  width: 100%;\n  padding: $input-padding-y 0;\n  margin-bottom: 0; // match inputs if this class comes on inputs with default margins\n  line-height: $input-line-height;\n  color: $input-plaintext-color;\n  background-color: transparent;\n  border: solid transparent;\n  border-width: $input-border-width 0;\n\n  &:focus {\n    outline: 0;\n  }\n\n  &.form-control-sm,\n  &.form-control-lg {\n    padding-right: 0;\n    padding-left: 0;\n  }\n}\n\n// Form control sizing\n//\n// Build on `.form-control` with modifier classes to decrease or increase the\n// height and font-size of form controls.\n//\n// Repeated in `_input_group.scss` to avoid Sass extend issues.\n\n.form-control-sm {\n  min-height: $input-height-sm;\n  padding: $input-padding-y-sm $input-padding-x-sm;\n  @include font-size($input-font-size-sm);\n  @include border-radius($input-border-radius-sm);\n\n  &::file-selector-button {\n    padding: $input-padding-y-sm $input-padding-x-sm;\n    margin: (-$input-padding-y-sm) (-$input-padding-x-sm);\n    margin-inline-end: $input-padding-x-sm;\n  }\n}\n\n.form-control-lg {\n  min-height: $input-height-lg;\n  padding: $input-padding-y-lg $input-padding-x-lg;\n  @include font-size($input-font-size-lg);\n  @include border-radius($input-border-radius-lg);\n\n  &::file-selector-button {\n    padding: $input-padding-y-lg $input-padding-x-lg;\n    margin: (-$input-padding-y-lg) (-$input-padding-x-lg);\n    margin-inline-end: $input-padding-x-lg;\n  }\n}\n\n// Make sure textareas don't shrink too much when resized\n// https://github.com/twbs/bootstrap/pull/29124\n// stylelint-disable selector-no-qualifying-type\ntextarea {\n  &.form-control {\n    min-height: $input-height;\n  }\n\n  &.form-control-sm {\n    min-height: $input-height-sm;\n  }\n\n  &.form-control-lg {\n    min-height: $input-height-lg;\n  }\n}\n// stylelint-enable selector-no-qualifying-type\n\n.form-control-color {\n  width: $form-color-width;\n  height: $input-height;\n  padding: $input-padding-y;\n\n  &:not(:disabled):not([readonly]) {\n    cursor: pointer;\n  }\n\n  &::-moz-color-swatch {\n    border: 0 !important; // stylelint-disable-line declaration-no-important\n    @include border-radius($input-border-radius);\n  }\n\n  &::-webkit-color-swatch {\n    border: 0 !important; // stylelint-disable-line declaration-no-important\n    @include border-radius($input-border-radius);\n  }\n\n  &.form-control-sm { height: $input-height-sm; }\n  &.form-control-lg { height: $input-height-lg; }\n}\n","// stylelint-disable property-disallowed-list\n@mixin transition($transition...) {\n  @if length($transition) == 0 {\n    $transition: $transition-base;\n  }\n\n  @if length($transition) > 1 {\n    @each $value in $transition {\n      @if $value == null or $value == none {\n        @warn \"The keyword 'none' or 'null' must be used as a single argument.\";\n      }\n    }\n  }\n\n  @if $enable-transitions {\n    @if nth($transition, 1) != null {\n      transition: $transition;\n    }\n\n    @if $enable-reduced-motion and nth($transition, 1) != null and nth($transition, 1) != none {\n      @media (prefers-reduced-motion: reduce) {\n        transition: none;\n      }\n    }\n  }\n}\n","// Gradients\n\n// scss-docs-start gradient-bg-mixin\n@mixin gradient-bg($color: null) {\n  background-color: $color;\n\n  @if $enable-gradients {\n    background-image: var(--#{$prefix}gradient);\n  }\n}\n// scss-docs-end gradient-bg-mixin\n\n// scss-docs-start gradient-mixins\n// Horizontal gradient, from left to right\n//\n// Creates two color stops, start and end, by specifying a color and position for each color stop.\n@mixin gradient-x($start-color: $gray-700, $end-color: $gray-800, $start-percent: 0%, $end-percent: 100%) {\n  background-image: linear-gradient(to right, $start-color $start-percent, $end-color $end-percent);\n}\n\n// Vertical gradient, from top to bottom\n//\n// Creates two color stops, start and end, by specifying a color and position for each color stop.\n@mixin gradient-y($start-color: $gray-700, $end-color: $gray-800, $start-percent: null, $end-percent: null) {\n  background-image: linear-gradient(to bottom, $start-color $start-percent, $end-color $end-percent);\n}\n\n@mixin gradient-directional($start-color: $gray-700, $end-color: $gray-800, $deg: 45deg) {\n  background-image: linear-gradient($deg, $start-color, $end-color);\n}\n\n@mixin gradient-x-three-colors($start-color: $blue, $mid-color: $purple, $color-stop: 50%, $end-color: $red) {\n  background-image: linear-gradient(to right, $start-color, $mid-color $color-stop, $end-color);\n}\n\n@mixin gradient-y-three-colors($start-color: $blue, $mid-color: $purple, $color-stop: 50%, $end-color: $red) {\n  background-image: linear-gradient($start-color, $mid-color $color-stop, $end-color);\n}\n\n@mixin gradient-radial($inner-color: $gray-700, $outer-color: $gray-800) {\n  background-image: radial-gradient(circle, $inner-color, $outer-color);\n}\n\n@mixin gradient-striped($color: rgba($white, .15), $angle: 45deg) {\n  background-image: linear-gradient($angle, $color 25%, transparent 25%, transparent 50%, $color 50%, $color 75%, transparent 75%, transparent);\n}\n// scss-docs-end gradient-mixins\n","// Select\n//\n// Replaces the browser default select with a custom one, mostly pulled from\n// https://primer.github.io/.\n\n.form-select {\n  --#{$prefix}form-select-bg-img: #{escape-svg($form-select-indicator)};\n\n  display: block;\n  width: 100%;\n  padding: $form-select-padding-y $form-select-indicator-padding $form-select-padding-y $form-select-padding-x;\n  font-family: $form-select-font-family;\n  @include font-size($form-select-font-size);\n  font-weight: $form-select-font-weight;\n  line-height: $form-select-line-height;\n  color: $form-select-color;\n  appearance: none;\n  background-color: $form-select-bg;\n  background-image: var(--#{$prefix}form-select-bg-img), var(--#{$prefix}form-select-bg-icon, none);\n  background-repeat: no-repeat;\n  background-position: $form-select-bg-position;\n  background-size: $form-select-bg-size;\n  border: $form-select-border-width solid $form-select-border-color;\n  @include border-radius($form-select-border-radius, 0);\n  @include box-shadow($form-select-box-shadow);\n  @include transition($form-select-transition);\n\n  &:focus {\n    border-color: $form-select-focus-border-color;\n    outline: 0;\n    @if $enable-shadows {\n      @include box-shadow($form-select-box-shadow, $form-select-focus-box-shadow);\n    } @else {\n      // Avoid using mixin so we can pass custom focus shadow properly\n      box-shadow: $form-select-focus-box-shadow;\n    }\n  }\n\n  &[multiple],\n  &[size]:not([size=\"1\"]) {\n    padding-right: $form-select-padding-x;\n    background-image: none;\n  }\n\n  &:disabled {\n    color: $form-select-disabled-color;\n    background-color: $form-select-disabled-bg;\n    border-color: $form-select-disabled-border-color;\n  }\n\n  // Remove outline from select box in FF\n  &:-moz-focusring {\n    color: transparent;\n    text-shadow: 0 0 0 $form-select-color;\n  }\n}\n\n.form-select-sm {\n  padding-top: $form-select-padding-y-sm;\n  padding-bottom: $form-select-padding-y-sm;\n  padding-left: $form-select-padding-x-sm;\n  @include font-size($form-select-font-size-sm);\n  @include border-radius($form-select-border-radius-sm);\n}\n\n.form-select-lg {\n  padding-top: $form-select-padding-y-lg;\n  padding-bottom: $form-select-padding-y-lg;\n  padding-left: $form-select-padding-x-lg;\n  @include font-size($form-select-font-size-lg);\n  @include border-radius($form-select-border-radius-lg);\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .form-select {\n      --#{$prefix}form-select-bg-img: #{escape-svg($form-select-indicator-dark)};\n    }\n  }\n}\n","//\n// Check/radio\n//\n\n.form-check {\n  display: block;\n  min-height: $form-check-min-height;\n  padding-left: $form-check-padding-start;\n  margin-bottom: $form-check-margin-bottom;\n\n  .form-check-input {\n    float: left;\n    margin-left: $form-check-padding-start * -1;\n  }\n}\n\n.form-check-reverse {\n  padding-right: $form-check-padding-start;\n  padding-left: 0;\n  text-align: right;\n\n  .form-check-input {\n    float: right;\n    margin-right: $form-check-padding-start * -1;\n    margin-left: 0;\n  }\n}\n\n.form-check-input {\n  --#{$prefix}form-check-bg: #{$form-check-input-bg};\n\n  flex-shrink: 0;\n  width: $form-check-input-width;\n  height: $form-check-input-width;\n  margin-top: ($line-height-base - $form-check-input-width) * .5; // line-height minus check height\n  vertical-align: top;\n  appearance: none;\n  background-color: var(--#{$prefix}form-check-bg);\n  background-image: var(--#{$prefix}form-check-bg-image);\n  background-repeat: no-repeat;\n  background-position: center;\n  background-size: contain;\n  border: $form-check-input-border;\n  print-color-adjust: exact; // Keep themed appearance for print\n  @include transition($form-check-transition);\n\n  &[type=\"checkbox\"] {\n    @include border-radius($form-check-input-border-radius);\n  }\n\n  &[type=\"radio\"] {\n    // stylelint-disable-next-line property-disallowed-list\n    border-radius: $form-check-radio-border-radius;\n  }\n\n  &:active {\n    filter: $form-check-input-active-filter;\n  }\n\n  &:focus {\n    border-color: $form-check-input-focus-border;\n    outline: 0;\n    box-shadow: $form-check-input-focus-box-shadow;\n  }\n\n  &:checked {\n    background-color: $form-check-input-checked-bg-color;\n    border-color: $form-check-input-checked-border-color;\n\n    &[type=\"checkbox\"] {\n      @if $enable-gradients {\n        --#{$prefix}form-check-bg-image: #{escape-svg($form-check-input-checked-bg-image)}, var(--#{$prefix}gradient);\n      } @else {\n        --#{$prefix}form-check-bg-image: #{escape-svg($form-check-input-checked-bg-image)};\n      }\n    }\n\n    &[type=\"radio\"] {\n      @if $enable-gradients {\n        --#{$prefix}form-check-bg-image: #{escape-svg($form-check-radio-checked-bg-image)}, var(--#{$prefix}gradient);\n      } @else {\n        --#{$prefix}form-check-bg-image: #{escape-svg($form-check-radio-checked-bg-image)};\n      }\n    }\n  }\n\n  &[type=\"checkbox\"]:indeterminate {\n    background-color: $form-check-input-indeterminate-bg-color;\n    border-color: $form-check-input-indeterminate-border-color;\n\n    @if $enable-gradients {\n      --#{$prefix}form-check-bg-image: #{escape-svg($form-check-input-indeterminate-bg-image)}, var(--#{$prefix}gradient);\n    } @else {\n      --#{$prefix}form-check-bg-image: #{escape-svg($form-check-input-indeterminate-bg-image)};\n    }\n  }\n\n  &:disabled {\n    pointer-events: none;\n    filter: none;\n    opacity: $form-check-input-disabled-opacity;\n  }\n\n  // Use disabled attribute in addition of :disabled pseudo-class\n  // See: https://github.com/twbs/bootstrap/issues/28247\n  &[disabled],\n  &:disabled {\n    ~ .form-check-label {\n      cursor: default;\n      opacity: $form-check-label-disabled-opacity;\n    }\n  }\n}\n\n.form-check-label {\n  color: $form-check-label-color;\n  cursor: $form-check-label-cursor;\n}\n\n//\n// Switch\n//\n\n.form-switch {\n  padding-left: $form-switch-padding-start;\n\n  .form-check-input {\n    --#{$prefix}form-switch-bg: #{escape-svg($form-switch-bg-image)};\n\n    width: $form-switch-width;\n    margin-left: $form-switch-padding-start * -1;\n    background-image: var(--#{$prefix}form-switch-bg);\n    background-position: left center;\n    @include border-radius($form-switch-border-radius, 0);\n    @include transition($form-switch-transition);\n\n    &:focus {\n      --#{$prefix}form-switch-bg: #{escape-svg($form-switch-focus-bg-image)};\n    }\n\n    &:checked {\n      background-position: $form-switch-checked-bg-position;\n\n      @if $enable-gradients {\n        --#{$prefix}form-switch-bg: #{escape-svg($form-switch-checked-bg-image)}, var(--#{$prefix}gradient);\n      } @else {\n        --#{$prefix}form-switch-bg: #{escape-svg($form-switch-checked-bg-image)};\n      }\n    }\n  }\n\n  &.form-check-reverse {\n    padding-right: $form-switch-padding-start;\n    padding-left: 0;\n\n    .form-check-input {\n      margin-right: $form-switch-padding-start * -1;\n      margin-left: 0;\n    }\n  }\n}\n\n.form-check-inline {\n  display: inline-block;\n  margin-right: $form-check-inline-margin-end;\n}\n\n.btn-check {\n  position: absolute;\n  clip: rect(0, 0, 0, 0);\n  pointer-events: none;\n\n  &[disabled],\n  &:disabled {\n    + .btn {\n      pointer-events: none;\n      filter: none;\n      opacity: $form-check-btn-check-disabled-opacity;\n    }\n  }\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .form-switch .form-check-input:not(:checked):not(:focus) {\n      --#{$prefix}form-switch-bg: #{escape-svg($form-switch-bg-image-dark)};\n    }\n  }\n}\n","// Range\n//\n// Style range inputs the same across browsers. Vendor-specific rules for pseudo\n// elements cannot be mixed. As such, there are no shared styles for focus or\n// active states on prefixed selectors.\n\n.form-range {\n  width: 100%;\n  height: add($form-range-thumb-height, $form-range-thumb-focus-box-shadow-width * 2);\n  padding: 0; // Need to reset padding\n  appearance: none;\n  background-color: transparent;\n\n  &:focus {\n    outline: 0;\n\n    // Pseudo-elements must be split across multiple rulesets to have an effect.\n    // No box-shadow() mixin for focus accessibility.\n    &::-webkit-slider-thumb { box-shadow: $form-range-thumb-focus-box-shadow; }\n    &::-moz-range-thumb     { box-shadow: $form-range-thumb-focus-box-shadow; }\n  }\n\n  &::-moz-focus-outer {\n    border: 0;\n  }\n\n  &::-webkit-slider-thumb {\n    width: $form-range-thumb-width;\n    height: $form-range-thumb-height;\n    margin-top: ($form-range-track-height - $form-range-thumb-height) * .5; // Webkit specific\n    appearance: none;\n    @include gradient-bg($form-range-thumb-bg);\n    border: $form-range-thumb-border;\n    @include border-radius($form-range-thumb-border-radius);\n    @include box-shadow($form-range-thumb-box-shadow);\n    @include transition($form-range-thumb-transition);\n\n    &:active {\n      @include gradient-bg($form-range-thumb-active-bg);\n    }\n  }\n\n  &::-webkit-slider-runnable-track {\n    width: $form-range-track-width;\n    height: $form-range-track-height;\n    color: transparent; // Why?\n    cursor: $form-range-track-cursor;\n    background-color: $form-range-track-bg;\n    border-color: transparent;\n    @include border-radius($form-range-track-border-radius);\n    @include box-shadow($form-range-track-box-shadow);\n  }\n\n  &::-moz-range-thumb {\n    width: $form-range-thumb-width;\n    height: $form-range-thumb-height;\n    appearance: none;\n    @include gradient-bg($form-range-thumb-bg);\n    border: $form-range-thumb-border;\n    @include border-radius($form-range-thumb-border-radius);\n    @include box-shadow($form-range-thumb-box-shadow);\n    @include transition($form-range-thumb-transition);\n\n    &:active {\n      @include gradient-bg($form-range-thumb-active-bg);\n    }\n  }\n\n  &::-moz-range-track {\n    width: $form-range-track-width;\n    height: $form-range-track-height;\n    color: transparent;\n    cursor: $form-range-track-cursor;\n    background-color: $form-range-track-bg;\n    border-color: transparent; // Firefox specific?\n    @include border-radius($form-range-track-border-radius);\n    @include box-shadow($form-range-track-box-shadow);\n  }\n\n  &:disabled {\n    pointer-events: none;\n\n    &::-webkit-slider-thumb {\n      background-color: $form-range-thumb-disabled-bg;\n    }\n\n    &::-moz-range-thumb {\n      background-color: $form-range-thumb-disabled-bg;\n    }\n  }\n}\n",".form-floating {\n  position: relative;\n\n  > .form-control,\n  > .form-control-plaintext,\n  > .form-select {\n    height: $form-floating-height;\n    min-height: $form-floating-height;\n    line-height: $form-floating-line-height;\n  }\n\n  > label {\n    position: absolute;\n    top: 0;\n    left: 0;\n    z-index: 2;\n    height: 100%; // allow textareas\n    padding: $form-floating-padding-y $form-floating-padding-x;\n    overflow: hidden;\n    text-align: start;\n    text-overflow: ellipsis;\n    white-space: nowrap;\n    pointer-events: none;\n    border: $input-border-width solid transparent; // Required for aligning label's text with the input as it affects inner box model\n    transform-origin: 0 0;\n    @include transition($form-floating-transition);\n  }\n\n  > .form-control,\n  > .form-control-plaintext {\n    padding: $form-floating-padding-y $form-floating-padding-x;\n\n    &::placeholder {\n      color: transparent;\n    }\n\n    &:focus,\n    &:not(:placeholder-shown) {\n      padding-top: $form-floating-input-padding-t;\n      padding-bottom: $form-floating-input-padding-b;\n    }\n    // Duplicated because `:-webkit-autofill` invalidates other selectors when grouped\n    &:-webkit-autofill {\n      padding-top: $form-floating-input-padding-t;\n      padding-bottom: $form-floating-input-padding-b;\n    }\n  }\n\n  > .form-select {\n    padding-top: $form-floating-input-padding-t;\n    padding-bottom: $form-floating-input-padding-b;\n  }\n\n  > .form-control:focus,\n  > .form-control:not(:placeholder-shown),\n  > .form-control-plaintext,\n  > .form-select {\n    ~ label {\n      color: rgba(var(--#{$prefix}body-color-rgb), #{$form-floating-label-opacity});\n      transform: $form-floating-label-transform;\n\n      &::after {\n        position: absolute;\n        inset: $form-floating-padding-y ($form-floating-padding-x * .5);\n        z-index: -1;\n        height: $form-floating-label-height;\n        content: \"\";\n        background-color: $input-bg;\n        @include border-radius($input-border-radius);\n      }\n    }\n  }\n  // Duplicated because `:-webkit-autofill` invalidates other selectors when grouped\n  > .form-control:-webkit-autofill {\n    ~ label {\n      color: rgba(var(--#{$prefix}body-color-rgb), #{$form-floating-label-opacity});\n      transform: $form-floating-label-transform;\n    }\n  }\n\n  > .form-control-plaintext {\n    ~ label {\n      border-width: $input-border-width 0; // Required to properly position label text - as explained above\n    }\n  }\n\n  > :disabled ~ label,\n  > .form-control:disabled ~ label { // Required for `.form-control`s because of specificity\n    color: $form-floating-label-disabled-color;\n\n    &::after {\n      background-color: $input-disabled-bg;\n    }\n  }\n}\n","//\n// Base styles\n//\n\n.input-group {\n  position: relative;\n  display: flex;\n  flex-wrap: wrap; // For form validation feedback\n  align-items: stretch;\n  width: 100%;\n\n  > .form-control,\n  > .form-select,\n  > .form-floating {\n    position: relative; // For focus state's z-index\n    flex: 1 1 auto;\n    width: 1%;\n    min-width: 0; // https://stackoverflow.com/questions/36247140/why-dont-flex-items-shrink-past-content-size\n  }\n\n  // Bring the \"active\" form control to the top of surrounding elements\n  > .form-control:focus,\n  > .form-select:focus,\n  > .form-floating:focus-within {\n    z-index: 5;\n  }\n\n  // Ensure buttons are always above inputs for more visually pleasing borders.\n  // This isn't needed for `.input-group-text` since it shares the same border-color\n  // as our inputs.\n  .btn {\n    position: relative;\n    z-index: 2;\n\n    &:focus {\n      z-index: 5;\n    }\n  }\n}\n\n\n// Textual addons\n//\n// Serves as a catch-all element for any text or radio/checkbox input you wish\n// to prepend or append to an input.\n\n.input-group-text {\n  display: flex;\n  align-items: center;\n  padding: $input-group-addon-padding-y $input-group-addon-padding-x;\n  @include font-size($input-font-size); // Match inputs\n  font-weight: $input-group-addon-font-weight;\n  line-height: $input-line-height;\n  color: $input-group-addon-color;\n  text-align: center;\n  white-space: nowrap;\n  background-color: $input-group-addon-bg;\n  border: $input-border-width solid $input-group-addon-border-color;\n  @include border-radius($input-border-radius);\n}\n\n\n// Sizing\n//\n// Remix the default form control sizing classes into new ones for easier\n// manipulation.\n\n.input-group-lg > .form-control,\n.input-group-lg > .form-select,\n.input-group-lg > .input-group-text,\n.input-group-lg > .btn {\n  padding: $input-padding-y-lg $input-padding-x-lg;\n  @include font-size($input-font-size-lg);\n  @include border-radius($input-border-radius-lg);\n}\n\n.input-group-sm > .form-control,\n.input-group-sm > .form-select,\n.input-group-sm > .input-group-text,\n.input-group-sm > .btn {\n  padding: $input-padding-y-sm $input-padding-x-sm;\n  @include font-size($input-font-size-sm);\n  @include border-radius($input-border-radius-sm);\n}\n\n.input-group-lg > .form-select,\n.input-group-sm > .form-select {\n  padding-right: $form-select-padding-x + $form-select-indicator-padding;\n}\n\n\n// Rounded corners\n//\n// These rulesets must come after the sizing ones to properly override sm and lg\n// border-radius values when extending. They're more specific than we'd like\n// with the `.input-group >` part, but without it, we cannot override the sizing.\n\n// stylelint-disable-next-line no-duplicate-selectors\n.input-group {\n  &:not(.has-validation) {\n    > :not(:last-child):not(.dropdown-toggle):not(.dropdown-menu):not(.form-floating),\n    > .dropdown-toggle:nth-last-child(n + 3),\n    > .form-floating:not(:last-child) > .form-control,\n    > .form-floating:not(:last-child) > .form-select {\n      @include border-end-radius(0);\n    }\n  }\n\n  &.has-validation {\n    > :nth-last-child(n + 3):not(.dropdown-toggle):not(.dropdown-menu):not(.form-floating),\n    > .dropdown-toggle:nth-last-child(n + 4),\n    > .form-floating:nth-last-child(n + 3) > .form-control,\n    > .form-floating:nth-last-child(n + 3) > .form-select {\n      @include border-end-radius(0);\n    }\n  }\n\n  $validation-messages: \"\";\n  @each $state in map-keys($form-validation-states) {\n    $validation-messages: $validation-messages + \":not(.\" + unquote($state) + \"-tooltip)\" + \":not(.\" + unquote($state) + \"-feedback)\";\n  }\n\n  > :not(:first-child):not(.dropdown-menu)#{$validation-messages} {\n    margin-left: calc(#{$input-border-width} * -1); // stylelint-disable-line function-disallowed-list\n    @include border-start-radius(0);\n  }\n\n  > .form-floating:not(:first-child) > .form-control,\n  > .form-floating:not(:first-child) > .form-select {\n    @include border-start-radius(0);\n  }\n}\n","// This mixin uses an `if()` technique to be compatible with Dart Sass\n// See https://github.com/sass/sass/issues/1873#issuecomment-152293725 for more details\n\n// scss-docs-start form-validation-mixins\n@mixin form-validation-state-selector($state) {\n  @if ($state == \"valid\" or $state == \"invalid\") {\n    .was-validated #{if(&, \"&\", \"\")}:#{$state},\n    #{if(&, \"&\", \"\")}.is-#{$state} {\n      @content;\n    }\n  } @else {\n    #{if(&, \"&\", \"\")}.is-#{$state} {\n      @content;\n    }\n  }\n}\n\n@mixin form-validation-state(\n  $state,\n  $color,\n  $icon,\n  $tooltip-color: color-contrast($color),\n  $tooltip-bg-color: rgba($color, $form-feedback-tooltip-opacity),\n  $focus-box-shadow: 0 0 $input-btn-focus-blur $input-focus-width rgba($color, $input-btn-focus-color-opacity),\n  $border-color: $color\n) {\n  .#{$state}-feedback {\n    display: none;\n    width: 100%;\n    margin-top: $form-feedback-margin-top;\n    @include font-size($form-feedback-font-size);\n    font-style: $form-feedback-font-style;\n    color: $color;\n  }\n\n  .#{$state}-tooltip {\n    position: absolute;\n    top: 100%;\n    z-index: 5;\n    display: none;\n    max-width: 100%; // Contain to parent when possible\n    padding: $form-feedback-tooltip-padding-y $form-feedback-tooltip-padding-x;\n    margin-top: .1rem;\n    @include font-size($form-feedback-tooltip-font-size);\n    line-height: $form-feedback-tooltip-line-height;\n    color: $tooltip-color;\n    background-color: $tooltip-bg-color;\n    @include border-radius($form-feedback-tooltip-border-radius);\n  }\n\n  @include form-validation-state-selector($state) {\n    ~ .#{$state}-feedback,\n    ~ .#{$state}-tooltip {\n      display: block;\n    }\n  }\n\n  .form-control {\n    @include form-validation-state-selector($state) {\n      border-color: $border-color;\n\n      @if $enable-validation-icons {\n        padding-right: $input-height-inner;\n        background-image: escape-svg($icon);\n        background-repeat: no-repeat;\n        background-position: right $input-height-inner-quarter center;\n        background-size: $input-height-inner-half $input-height-inner-half;\n      }\n\n      &:focus {\n        border-color: $border-color;\n        @if $enable-shadows {\n          @include box-shadow($input-box-shadow, $focus-box-shadow);\n        } @else {\n          // Avoid using mixin so we can pass custom focus shadow properly\n          box-shadow: $focus-box-shadow;\n        }\n      }\n    }\n  }\n\n  // stylelint-disable-next-line selector-no-qualifying-type\n  textarea.form-control {\n    @include form-validation-state-selector($state) {\n      @if $enable-validation-icons {\n        padding-right: $input-height-inner;\n        background-position: top $input-height-inner-quarter right $input-height-inner-quarter;\n      }\n    }\n  }\n\n  .form-select {\n    @include form-validation-state-selector($state) {\n      border-color: $border-color;\n\n      @if $enable-validation-icons {\n        &:not([multiple]):not([size]),\n        &:not([multiple])[size=\"1\"] {\n          --#{$prefix}form-select-bg-icon: #{escape-svg($icon)};\n          padding-right: $form-select-feedback-icon-padding-end;\n          background-position: $form-select-bg-position, $form-select-feedback-icon-position;\n          background-size: $form-select-bg-size, $form-select-feedback-icon-size;\n        }\n      }\n\n      &:focus {\n        border-color: $border-color;\n        @if $enable-shadows {\n          @include box-shadow($form-select-box-shadow, $focus-box-shadow);\n        } @else {\n          // Avoid using mixin so we can pass custom focus shadow properly\n          box-shadow: $focus-box-shadow;\n        }\n      }\n    }\n  }\n\n  .form-control-color {\n    @include form-validation-state-selector($state) {\n      @if $enable-validation-icons {\n        width: add($form-color-width, $input-height-inner);\n      }\n    }\n  }\n\n  .form-check-input {\n    @include form-validation-state-selector($state) {\n      border-color: $border-color;\n\n      &:checked {\n        background-color: $color;\n      }\n\n      &:focus {\n        box-shadow: $focus-box-shadow;\n      }\n\n      ~ .form-check-label {\n        color: $color;\n      }\n    }\n  }\n  .form-check-inline .form-check-input {\n    ~ .#{$state}-feedback {\n      margin-left: .5em;\n    }\n  }\n\n  .input-group {\n    > .form-control:not(:focus),\n    > .form-select:not(:focus),\n    > .form-floating:not(:focus-within) {\n      @include form-validation-state-selector($state) {\n        @if $state == \"valid\" {\n          z-index: 3;\n        } @else if $state == \"invalid\" {\n          z-index: 4;\n        }\n      }\n    }\n  }\n}\n// scss-docs-end form-validation-mixins\n","//\n// Base styles\n//\n\n.btn {\n  // scss-docs-start btn-css-vars\n  --#{$prefix}btn-padding-x: #{$btn-padding-x};\n  --#{$prefix}btn-padding-y: #{$btn-padding-y};\n  --#{$prefix}btn-font-family: #{$btn-font-family};\n  @include rfs($btn-font-size, --#{$prefix}btn-font-size);\n  --#{$prefix}btn-font-weight: #{$btn-font-weight};\n  --#{$prefix}btn-line-height: #{$btn-line-height};\n  --#{$prefix}btn-color: #{$btn-color};\n  --#{$prefix}btn-bg: transparent;\n  --#{$prefix}btn-border-width: #{$btn-border-width};\n  --#{$prefix}btn-border-color: transparent;\n  --#{$prefix}btn-border-radius: #{$btn-border-radius};\n  --#{$prefix}btn-hover-border-color: transparent;\n  --#{$prefix}btn-box-shadow: #{$btn-box-shadow};\n  --#{$prefix}btn-disabled-opacity: #{$btn-disabled-opacity};\n  --#{$prefix}btn-focus-box-shadow: 0 0 0 #{$btn-focus-width} rgba(var(--#{$prefix}btn-focus-shadow-rgb), .5);\n  // scss-docs-end btn-css-vars\n\n  display: inline-block;\n  padding: var(--#{$prefix}btn-padding-y) var(--#{$prefix}btn-padding-x);\n  font-family: var(--#{$prefix}btn-font-family);\n  @include font-size(var(--#{$prefix}btn-font-size));\n  font-weight: var(--#{$prefix}btn-font-weight);\n  line-height: var(--#{$prefix}btn-line-height);\n  color: var(--#{$prefix}btn-color);\n  text-align: center;\n  text-decoration: if($link-decoration == none, null, none);\n  white-space: $btn-white-space;\n  vertical-align: middle;\n  cursor: if($enable-button-pointers, pointer, null);\n  user-select: none;\n  border: var(--#{$prefix}btn-border-width) solid var(--#{$prefix}btn-border-color);\n  @include border-radius(var(--#{$prefix}btn-border-radius));\n  @include gradient-bg(var(--#{$prefix}btn-bg));\n  @include box-shadow(var(--#{$prefix}btn-box-shadow));\n  @include transition($btn-transition);\n\n  &:hover {\n    color: var(--#{$prefix}btn-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n    background-color: var(--#{$prefix}btn-hover-bg);\n    border-color: var(--#{$prefix}btn-hover-border-color);\n  }\n\n  .btn-check + &:hover {\n    // override for the checkbox/radio buttons\n    color: var(--#{$prefix}btn-color);\n    background-color: var(--#{$prefix}btn-bg);\n    border-color: var(--#{$prefix}btn-border-color);\n  }\n\n  &:focus-visible {\n    color: var(--#{$prefix}btn-hover-color);\n    @include gradient-bg(var(--#{$prefix}btn-hover-bg));\n    border-color: var(--#{$prefix}btn-hover-border-color);\n    outline: 0;\n    // Avoid using mixin so we can pass custom focus shadow properly\n    @if $enable-shadows {\n      box-shadow: var(--#{$prefix}btn-box-shadow), var(--#{$prefix}btn-focus-box-shadow);\n    } @else {\n      box-shadow: var(--#{$prefix}btn-focus-box-shadow);\n    }\n  }\n\n  .btn-check:focus-visible + & {\n    border-color: var(--#{$prefix}btn-hover-border-color);\n    outline: 0;\n    // Avoid using mixin so we can pass custom focus shadow properly\n    @if $enable-shadows {\n      box-shadow: var(--#{$prefix}btn-box-shadow), var(--#{$prefix}btn-focus-box-shadow);\n    } @else {\n      box-shadow: var(--#{$prefix}btn-focus-box-shadow);\n    }\n  }\n\n  .btn-check:checked + &,\n  :not(.btn-check) + &:active,\n  &:first-child:active,\n  &.active,\n  &.show {\n    color: var(--#{$prefix}btn-active-color);\n    background-color: var(--#{$prefix}btn-active-bg);\n    // Remove CSS gradients if they're enabled\n    background-image: if($enable-gradients, none, null);\n    border-color: var(--#{$prefix}btn-active-border-color);\n    @include box-shadow(var(--#{$prefix}btn-active-shadow));\n\n    &:focus-visible {\n      // Avoid using mixin so we can pass custom focus shadow properly\n      @if $enable-shadows {\n        box-shadow: var(--#{$prefix}btn-active-shadow), var(--#{$prefix}btn-focus-box-shadow);\n      } @else {\n        box-shadow: var(--#{$prefix}btn-focus-box-shadow);\n      }\n    }\n  }\n\n  .btn-check:checked:focus-visible + & {\n    // Avoid using mixin so we can pass custom focus shadow properly\n    @if $enable-shadows {\n      box-shadow: var(--#{$prefix}btn-active-shadow), var(--#{$prefix}btn-focus-box-shadow);\n    } @else {\n      box-shadow: var(--#{$prefix}btn-focus-box-shadow);\n    }\n  }\n\n  &:disabled,\n  &.disabled,\n  fieldset:disabled & {\n    color: var(--#{$prefix}btn-disabled-color);\n    pointer-events: none;\n    background-color: var(--#{$prefix}btn-disabled-bg);\n    background-image: if($enable-gradients, none, null);\n    border-color: var(--#{$prefix}btn-disabled-border-color);\n    opacity: var(--#{$prefix}btn-disabled-opacity);\n    @include box-shadow(none);\n  }\n}\n\n\n//\n// Alternate buttons\n//\n\n// scss-docs-start btn-variant-loops\n@each $color, $value in $theme-colors {\n  .btn-#{$color} {\n    @if $color == \"light\" {\n      @include button-variant(\n        $value,\n        $value,\n        $hover-background: shade-color($value, $btn-hover-bg-shade-amount),\n        $hover-border: shade-color($value, $btn-hover-border-shade-amount),\n        $active-background: shade-color($value, $btn-active-bg-shade-amount),\n        $active-border: shade-color($value, $btn-active-border-shade-amount)\n      );\n    } @else if $color == \"dark\" {\n      @include button-variant(\n        $value,\n        $value,\n        $hover-background: tint-color($value, $btn-hover-bg-tint-amount),\n        $hover-border: tint-color($value, $btn-hover-border-tint-amount),\n        $active-background: tint-color($value, $btn-active-bg-tint-amount),\n        $active-border: tint-color($value, $btn-active-border-tint-amount)\n      );\n    } @else {\n      @include button-variant($value, $value);\n    }\n  }\n}\n\n@each $color, $value in $theme-colors {\n  .btn-outline-#{$color} {\n    @include button-outline-variant($value);\n  }\n}\n// scss-docs-end btn-variant-loops\n\n\n//\n// Link buttons\n//\n\n// Make a button look and behave like a link\n.btn-link {\n  --#{$prefix}btn-font-weight: #{$font-weight-normal};\n  --#{$prefix}btn-color: #{$btn-link-color};\n  --#{$prefix}btn-bg: transparent;\n  --#{$prefix}btn-border-color: transparent;\n  --#{$prefix}btn-hover-color: #{$btn-link-hover-color};\n  --#{$prefix}btn-hover-border-color: transparent;\n  --#{$prefix}btn-active-color: #{$btn-link-hover-color};\n  --#{$prefix}btn-active-border-color: transparent;\n  --#{$prefix}btn-disabled-color: #{$btn-link-disabled-color};\n  --#{$prefix}btn-disabled-border-color: transparent;\n  --#{$prefix}btn-box-shadow: 0 0 0 #000; // Can't use `none` as keyword negates all values when used with multiple shadows\n  --#{$prefix}btn-focus-shadow-rgb: #{$btn-link-focus-shadow-rgb};\n\n  text-decoration: $link-decoration;\n  @if $enable-gradients {\n    background-image: none;\n  }\n\n  &:hover,\n  &:focus-visible {\n    text-decoration: $link-hover-decoration;\n  }\n\n  &:focus-visible {\n    color: var(--#{$prefix}btn-color);\n  }\n\n  &:hover {\n    color: var(--#{$prefix}btn-hover-color);\n  }\n\n  // No need for an active state here\n}\n\n\n//\n// Button Sizes\n//\n\n.btn-lg {\n  @include button-size($btn-padding-y-lg, $btn-padding-x-lg, $btn-font-size-lg, $btn-border-radius-lg);\n}\n\n.btn-sm {\n  @include button-size($btn-padding-y-sm, $btn-padding-x-sm, $btn-font-size-sm, $btn-border-radius-sm);\n}\n","// Button variants\n//\n// Easily pump out default styles, as well as :hover, :focus, :active,\n// and disabled options for all buttons\n\n// scss-docs-start btn-variant-mixin\n@mixin button-variant(\n  $background,\n  $border,\n  $color: color-contrast($background),\n  $hover-background: if($color == $color-contrast-light, shade-color($background, $btn-hover-bg-shade-amount), tint-color($background, $btn-hover-bg-tint-amount)),\n  $hover-border: if($color == $color-contrast-light, shade-color($border, $btn-hover-border-shade-amount), tint-color($border, $btn-hover-border-tint-amount)),\n  $hover-color: color-contrast($hover-background),\n  $active-background: if($color == $color-contrast-light, shade-color($background, $btn-active-bg-shade-amount), tint-color($background, $btn-active-bg-tint-amount)),\n  $active-border: if($color == $color-contrast-light, shade-color($border, $btn-active-border-shade-amount), tint-color($border, $btn-active-border-tint-amount)),\n  $active-color: color-contrast($active-background),\n  $disabled-background: $background,\n  $disabled-border: $border,\n  $disabled-color: color-contrast($disabled-background)\n) {\n  --#{$prefix}btn-color: #{$color};\n  --#{$prefix}btn-bg: #{$background};\n  --#{$prefix}btn-border-color: #{$border};\n  --#{$prefix}btn-hover-color: #{$hover-color};\n  --#{$prefix}btn-hover-bg: #{$hover-background};\n  --#{$prefix}btn-hover-border-color: #{$hover-border};\n  --#{$prefix}btn-focus-shadow-rgb: #{to-rgb(mix($color, $border, 15%))};\n  --#{$prefix}btn-active-color: #{$active-color};\n  --#{$prefix}btn-active-bg: #{$active-background};\n  --#{$prefix}btn-active-border-color: #{$active-border};\n  --#{$prefix}btn-active-shadow: #{$btn-active-box-shadow};\n  --#{$prefix}btn-disabled-color: #{$disabled-color};\n  --#{$prefix}btn-disabled-bg: #{$disabled-background};\n  --#{$prefix}btn-disabled-border-color: #{$disabled-border};\n}\n// scss-docs-end btn-variant-mixin\n\n// scss-docs-start btn-outline-variant-mixin\n@mixin button-outline-variant(\n  $color,\n  $color-hover: color-contrast($color),\n  $active-background: $color,\n  $active-border: $color,\n  $active-color: color-contrast($active-background)\n) {\n  --#{$prefix}btn-color: #{$color};\n  --#{$prefix}btn-border-color: #{$color};\n  --#{$prefix}btn-hover-color: #{$color-hover};\n  --#{$prefix}btn-hover-bg: #{$active-background};\n  --#{$prefix}btn-hover-border-color: #{$active-border};\n  --#{$prefix}btn-focus-shadow-rgb: #{to-rgb($color)};\n  --#{$prefix}btn-active-color: #{$active-color};\n  --#{$prefix}btn-active-bg: #{$active-background};\n  --#{$prefix}btn-active-border-color: #{$active-border};\n  --#{$prefix}btn-active-shadow: #{$btn-active-box-shadow};\n  --#{$prefix}btn-disabled-color: #{$color};\n  --#{$prefix}btn-disabled-bg: transparent;\n  --#{$prefix}btn-disabled-border-color: #{$color};\n  --#{$prefix}gradient: none;\n}\n// scss-docs-end btn-outline-variant-mixin\n\n// scss-docs-start btn-size-mixin\n@mixin button-size($padding-y, $padding-x, $font-size, $border-radius) {\n  --#{$prefix}btn-padding-y: #{$padding-y};\n  --#{$prefix}btn-padding-x: #{$padding-x};\n  @include rfs($font-size, --#{$prefix}btn-font-size);\n  --#{$prefix}btn-border-radius: #{$border-radius};\n}\n// scss-docs-end btn-size-mixin\n",".fade {\n  @include transition($transition-fade);\n\n  &:not(.show) {\n    opacity: 0;\n  }\n}\n\n// scss-docs-start collapse-classes\n.collapse {\n  &:not(.show) {\n    display: none;\n  }\n}\n\n.collapsing {\n  height: 0;\n  overflow: hidden;\n  @include transition($transition-collapse);\n\n  &.collapse-horizontal {\n    width: 0;\n    height: auto;\n    @include transition($transition-collapse-width);\n  }\n}\n// scss-docs-end collapse-classes\n","// The dropdown wrapper (`<div>`)\n.dropup,\n.dropend,\n.dropdown,\n.dropstart,\n.dropup-center,\n.dropdown-center {\n  position: relative;\n}\n\n.dropdown-toggle {\n  white-space: nowrap;\n\n  // Generate the caret automatically\n  @include caret();\n}\n\n// The dropdown menu\n.dropdown-menu {\n  // scss-docs-start dropdown-css-vars\n  --#{$prefix}dropdown-zindex: #{$zindex-dropdown};\n  --#{$prefix}dropdown-min-width: #{$dropdown-min-width};\n  --#{$prefix}dropdown-padding-x: #{$dropdown-padding-x};\n  --#{$prefix}dropdown-padding-y: #{$dropdown-padding-y};\n  --#{$prefix}dropdown-spacer: #{$dropdown-spacer};\n  @include rfs($dropdown-font-size, --#{$prefix}dropdown-font-size);\n  --#{$prefix}dropdown-color: #{$dropdown-color};\n  --#{$prefix}dropdown-bg: #{$dropdown-bg};\n  --#{$prefix}dropdown-border-color: #{$dropdown-border-color};\n  --#{$prefix}dropdown-border-radius: #{$dropdown-border-radius};\n  --#{$prefix}dropdown-border-width: #{$dropdown-border-width};\n  --#{$prefix}dropdown-inner-border-radius: #{$dropdown-inner-border-radius};\n  --#{$prefix}dropdown-divider-bg: #{$dropdown-divider-bg};\n  --#{$prefix}dropdown-divider-margin-y: #{$dropdown-divider-margin-y};\n  --#{$prefix}dropdown-box-shadow: #{$dropdown-box-shadow};\n  --#{$prefix}dropdown-link-color: #{$dropdown-link-color};\n  --#{$prefix}dropdown-link-hover-color: #{$dropdown-link-hover-color};\n  --#{$prefix}dropdown-link-hover-bg: #{$dropdown-link-hover-bg};\n  --#{$prefix}dropdown-link-active-color: #{$dropdown-link-active-color};\n  --#{$prefix}dropdown-link-active-bg: #{$dropdown-link-active-bg};\n  --#{$prefix}dropdown-link-disabled-color: #{$dropdown-link-disabled-color};\n  --#{$prefix}dropdown-item-padding-x: #{$dropdown-item-padding-x};\n  --#{$prefix}dropdown-item-padding-y: #{$dropdown-item-padding-y};\n  --#{$prefix}dropdown-header-color: #{$dropdown-header-color};\n  --#{$prefix}dropdown-header-padding-x: #{$dropdown-header-padding-x};\n  --#{$prefix}dropdown-header-padding-y: #{$dropdown-header-padding-y};\n  // scss-docs-end dropdown-css-vars\n\n  position: absolute;\n  z-index: var(--#{$prefix}dropdown-zindex);\n  display: none; // none by default, but block on \"open\" of the menu\n  min-width: var(--#{$prefix}dropdown-min-width);\n  padding: var(--#{$prefix}dropdown-padding-y) var(--#{$prefix}dropdown-padding-x);\n  margin: 0; // Override default margin of ul\n  @include font-size(var(--#{$prefix}dropdown-font-size));\n  color: var(--#{$prefix}dropdown-color);\n  text-align: left; // Ensures proper alignment if parent has it changed (e.g., modal footer)\n  list-style: none;\n  background-color: var(--#{$prefix}dropdown-bg);\n  background-clip: padding-box;\n  border: var(--#{$prefix}dropdown-border-width) solid var(--#{$prefix}dropdown-border-color);\n  @include border-radius(var(--#{$prefix}dropdown-border-radius));\n  @include box-shadow(var(--#{$prefix}dropdown-box-shadow));\n\n  &[data-bs-popper] {\n    top: 100%;\n    left: 0;\n    margin-top: var(--#{$prefix}dropdown-spacer);\n  }\n\n  @if $dropdown-padding-y == 0 {\n    > .dropdown-item:first-child,\n    > li:first-child .dropdown-item {\n      @include border-top-radius(var(--#{$prefix}dropdown-inner-border-radius));\n    }\n    > .dropdown-item:last-child,\n    > li:last-child .dropdown-item {\n      @include border-bottom-radius(var(--#{$prefix}dropdown-inner-border-radius));\n    }\n\n  }\n}\n\n// scss-docs-start responsive-breakpoints\n// We deliberately hardcode the `bs-` prefix because we check\n// this custom property in JS to determine Popper's positioning\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  @include media-breakpoint-up($breakpoint) {\n    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    .dropdown-menu#{$infix}-start {\n      --bs-position: start;\n\n      &[data-bs-popper] {\n        right: auto;\n        left: 0;\n      }\n    }\n\n    .dropdown-menu#{$infix}-end {\n      --bs-position: end;\n\n      &[data-bs-popper] {\n        right: 0;\n        left: auto;\n      }\n    }\n  }\n}\n// scss-docs-end responsive-breakpoints\n\n// Allow for dropdowns to go bottom up (aka, dropup-menu)\n// Just add .dropup after the standard .dropdown class and you're set.\n.dropup {\n  .dropdown-menu[data-bs-popper] {\n    top: auto;\n    bottom: 100%;\n    margin-top: 0;\n    margin-bottom: var(--#{$prefix}dropdown-spacer);\n  }\n\n  .dropdown-toggle {\n    @include caret(up);\n  }\n}\n\n.dropend {\n  .dropdown-menu[data-bs-popper] {\n    top: 0;\n    right: auto;\n    left: 100%;\n    margin-top: 0;\n    margin-left: var(--#{$prefix}dropdown-spacer);\n  }\n\n  .dropdown-toggle {\n    @include caret(end);\n    &::after {\n      vertical-align: 0;\n    }\n  }\n}\n\n.dropstart {\n  .dropdown-menu[data-bs-popper] {\n    top: 0;\n    right: 100%;\n    left: auto;\n    margin-top: 0;\n    margin-right: var(--#{$prefix}dropdown-spacer);\n  }\n\n  .dropdown-toggle {\n    @include caret(start);\n    &::before {\n      vertical-align: 0;\n    }\n  }\n}\n\n\n// Dividers (basically an `<hr>`) within the dropdown\n.dropdown-divider {\n  height: 0;\n  margin: var(--#{$prefix}dropdown-divider-margin-y) 0;\n  overflow: hidden;\n  border-top: 1px solid var(--#{$prefix}dropdown-divider-bg);\n  opacity: 1; // Revisit in v6 to de-dupe styles that conflict with <hr> element\n}\n\n// Links, buttons, and more within the dropdown menu\n//\n// `<button>`-specific styles are denoted with `// For <button>s`\n.dropdown-item {\n  display: block;\n  width: 100%; // For `<button>`s\n  padding: var(--#{$prefix}dropdown-item-padding-y) var(--#{$prefix}dropdown-item-padding-x);\n  clear: both;\n  font-weight: $font-weight-normal;\n  color: var(--#{$prefix}dropdown-link-color);\n  text-align: inherit; // For `<button>`s\n  text-decoration: if($link-decoration == none, null, none);\n  white-space: nowrap; // prevent links from randomly breaking onto new lines\n  background-color: transparent; // For `<button>`s\n  border: 0; // For `<button>`s\n  @include border-radius(var(--#{$prefix}dropdown-item-border-radius, 0));\n\n  &:hover,\n  &:focus {\n    color: var(--#{$prefix}dropdown-link-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n    @include gradient-bg(var(--#{$prefix}dropdown-link-hover-bg));\n  }\n\n  &.active,\n  &:active {\n    color: var(--#{$prefix}dropdown-link-active-color);\n    text-decoration: none;\n    @include gradient-bg(var(--#{$prefix}dropdown-link-active-bg));\n  }\n\n  &.disabled,\n  &:disabled {\n    color: var(--#{$prefix}dropdown-link-disabled-color);\n    pointer-events: none;\n    background-color: transparent;\n    // Remove CSS gradients if they're enabled\n    background-image: if($enable-gradients, none, null);\n  }\n}\n\n.dropdown-menu.show {\n  display: block;\n}\n\n// Dropdown section headers\n.dropdown-header {\n  display: block;\n  padding: var(--#{$prefix}dropdown-header-padding-y) var(--#{$prefix}dropdown-header-padding-x);\n  margin-bottom: 0; // for use with heading elements\n  @include font-size($font-size-sm);\n  color: var(--#{$prefix}dropdown-header-color);\n  white-space: nowrap; // as with > li > a\n}\n\n// Dropdown text\n.dropdown-item-text {\n  display: block;\n  padding: var(--#{$prefix}dropdown-item-padding-y) var(--#{$prefix}dropdown-item-padding-x);\n  color: var(--#{$prefix}dropdown-link-color);\n}\n\n// Dark dropdowns\n.dropdown-menu-dark {\n  // scss-docs-start dropdown-dark-css-vars\n  --#{$prefix}dropdown-color: #{$dropdown-dark-color};\n  --#{$prefix}dropdown-bg: #{$dropdown-dark-bg};\n  --#{$prefix}dropdown-border-color: #{$dropdown-dark-border-color};\n  --#{$prefix}dropdown-box-shadow: #{$dropdown-dark-box-shadow};\n  --#{$prefix}dropdown-link-color: #{$dropdown-dark-link-color};\n  --#{$prefix}dropdown-link-hover-color: #{$dropdown-dark-link-hover-color};\n  --#{$prefix}dropdown-divider-bg: #{$dropdown-dark-divider-bg};\n  --#{$prefix}dropdown-link-hover-bg: #{$dropdown-dark-link-hover-bg};\n  --#{$prefix}dropdown-link-active-color: #{$dropdown-dark-link-active-color};\n  --#{$prefix}dropdown-link-active-bg: #{$dropdown-dark-link-active-bg};\n  --#{$prefix}dropdown-link-disabled-color: #{$dropdown-dark-link-disabled-color};\n  --#{$prefix}dropdown-header-color: #{$dropdown-dark-header-color};\n  // scss-docs-end dropdown-dark-css-vars\n}\n","// scss-docs-start caret-mixins\n@mixin caret-down($width: $caret-width) {\n  border-top: $width solid;\n  border-right: $width solid transparent;\n  border-bottom: 0;\n  border-left: $width solid transparent;\n}\n\n@mixin caret-up($width: $caret-width) {\n  border-top: 0;\n  border-right: $width solid transparent;\n  border-bottom: $width solid;\n  border-left: $width solid transparent;\n}\n\n@mixin caret-end($width: $caret-width) {\n  border-top: $width solid transparent;\n  border-right: 0;\n  border-bottom: $width solid transparent;\n  border-left: $width solid;\n}\n\n@mixin caret-start($width: $caret-width) {\n  border-top: $width solid transparent;\n  border-right: $width solid;\n  border-bottom: $width solid transparent;\n}\n\n@mixin caret(\n  $direction: down,\n  $width: $caret-width,\n  $spacing: $caret-spacing,\n  $vertical-align: $caret-vertical-align\n) {\n  @if $enable-caret {\n    &::after {\n      display: inline-block;\n      margin-left: $spacing;\n      vertical-align: $vertical-align;\n      content: \"\";\n      @if $direction == down {\n        @include caret-down($width);\n      } @else if $direction == up {\n        @include caret-up($width);\n      } @else if $direction == end {\n        @include caret-end($width);\n      }\n    }\n\n    @if $direction == start {\n      &::after {\n        display: none;\n      }\n\n      &::before {\n        display: inline-block;\n        margin-right: $spacing;\n        vertical-align: $vertical-align;\n        content: \"\";\n        @include caret-start($width);\n      }\n    }\n\n    &:empty::after {\n      margin-left: 0;\n    }\n  }\n}\n// scss-docs-end caret-mixins\n","// Make the div behave like a button\n.btn-group,\n.btn-group-vertical {\n  position: relative;\n  display: inline-flex;\n  vertical-align: middle; // match .btn alignment given font-size hack above\n\n  > .btn {\n    position: relative;\n    flex: 1 1 auto;\n  }\n\n  // Bring the hover, focused, and \"active\" buttons to the front to overlay\n  // the borders properly\n  > .btn-check:checked + .btn,\n  > .btn-check:focus + .btn,\n  > .btn:hover,\n  > .btn:focus,\n  > .btn:active,\n  > .btn.active {\n    z-index: 1;\n  }\n}\n\n// Optional: Group multiple button groups together for a toolbar\n.btn-toolbar {\n  display: flex;\n  flex-wrap: wrap;\n  justify-content: flex-start;\n\n  .input-group {\n    width: auto;\n  }\n}\n\n.btn-group {\n  @include border-radius($btn-border-radius);\n\n  // Prevent double borders when buttons are next to each other\n  > :not(.btn-check:first-child) + .btn,\n  > .btn-group:not(:first-child) {\n    margin-left: calc(#{$btn-border-width} * -1); // stylelint-disable-line function-disallowed-list\n  }\n\n  // Reset rounded corners\n  > .btn:not(:last-child):not(.dropdown-toggle),\n  > .btn.dropdown-toggle-split:first-child,\n  > .btn-group:not(:last-child) > .btn {\n    @include border-end-radius(0);\n  }\n\n  // The left radius should be 0 if the button is:\n  // - the \"third or more\" child\n  // - the second child and the previous element isn't `.btn-check` (making it the first child visually)\n  // - part of a btn-group which isn't the first child\n  > .btn:nth-child(n + 3),\n  > :not(.btn-check) + .btn,\n  > .btn-group:not(:first-child) > .btn {\n    @include border-start-radius(0);\n  }\n}\n\n// Sizing\n//\n// Remix the default button sizing classes into new ones for easier manipulation.\n\n.btn-group-sm > .btn { @extend .btn-sm; }\n.btn-group-lg > .btn { @extend .btn-lg; }\n\n\n//\n// Split button dropdowns\n//\n\n.dropdown-toggle-split {\n  padding-right: $btn-padding-x * .75;\n  padding-left: $btn-padding-x * .75;\n\n  &::after,\n  .dropup &::after,\n  .dropend &::after {\n    margin-left: 0;\n  }\n\n  .dropstart &::before {\n    margin-right: 0;\n  }\n}\n\n.btn-sm + .dropdown-toggle-split {\n  padding-right: $btn-padding-x-sm * .75;\n  padding-left: $btn-padding-x-sm * .75;\n}\n\n.btn-lg + .dropdown-toggle-split {\n  padding-right: $btn-padding-x-lg * .75;\n  padding-left: $btn-padding-x-lg * .75;\n}\n\n\n// The clickable button for toggling the menu\n// Set the same inset shadow as the :active state\n.btn-group.show .dropdown-toggle {\n  @include box-shadow($btn-active-box-shadow);\n\n  // Show no shadow for `.btn-link` since it has no other button styles.\n  &.btn-link {\n    @include box-shadow(none);\n  }\n}\n\n\n//\n// Vertical button groups\n//\n\n.btn-group-vertical {\n  flex-direction: column;\n  align-items: flex-start;\n  justify-content: center;\n\n  > .btn,\n  > .btn-group {\n    width: 100%;\n  }\n\n  > .btn:not(:first-child),\n  > .btn-group:not(:first-child) {\n    margin-top: calc(#{$btn-border-width} * -1); // stylelint-disable-line function-disallowed-list\n  }\n\n  // Reset rounded corners\n  > .btn:not(:last-child):not(.dropdown-toggle),\n  > .btn-group:not(:last-child) > .btn {\n    @include border-bottom-radius(0);\n  }\n\n  > .btn ~ .btn,\n  > .btn-group:not(:first-child) > .btn {\n    @include border-top-radius(0);\n  }\n}\n","// Base class\n//\n// Kickstart any navigation component with a set of style resets. Works with\n// `<nav>`s, `<ul>`s or `<ol>`s.\n\n.nav {\n  // scss-docs-start nav-css-vars\n  --#{$prefix}nav-link-padding-x: #{$nav-link-padding-x};\n  --#{$prefix}nav-link-padding-y: #{$nav-link-padding-y};\n  @include rfs($nav-link-font-size, --#{$prefix}nav-link-font-size);\n  --#{$prefix}nav-link-font-weight: #{$nav-link-font-weight};\n  --#{$prefix}nav-link-color: #{$nav-link-color};\n  --#{$prefix}nav-link-hover-color: #{$nav-link-hover-color};\n  --#{$prefix}nav-link-disabled-color: #{$nav-link-disabled-color};\n  // scss-docs-end nav-css-vars\n\n  display: flex;\n  flex-wrap: wrap;\n  padding-left: 0;\n  margin-bottom: 0;\n  list-style: none;\n}\n\n.nav-link {\n  display: block;\n  padding: var(--#{$prefix}nav-link-padding-y) var(--#{$prefix}nav-link-padding-x);\n  @include font-size(var(--#{$prefix}nav-link-font-size));\n  font-weight: var(--#{$prefix}nav-link-font-weight);\n  color: var(--#{$prefix}nav-link-color);\n  text-decoration: if($link-decoration == none, null, none);\n  background: none;\n  border: 0;\n  @include transition($nav-link-transition);\n\n  &:hover,\n  &:focus {\n    color: var(--#{$prefix}nav-link-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n  }\n\n  &:focus-visible {\n    outline: 0;\n    box-shadow: $nav-link-focus-box-shadow;\n  }\n\n  // Disabled state lightens text\n  &.disabled,\n  &:disabled {\n    color: var(--#{$prefix}nav-link-disabled-color);\n    pointer-events: none;\n    cursor: default;\n  }\n}\n\n//\n// Tabs\n//\n\n.nav-tabs {\n  // scss-docs-start nav-tabs-css-vars\n  --#{$prefix}nav-tabs-border-width: #{$nav-tabs-border-width};\n  --#{$prefix}nav-tabs-border-color: #{$nav-tabs-border-color};\n  --#{$prefix}nav-tabs-border-radius: #{$nav-tabs-border-radius};\n  --#{$prefix}nav-tabs-link-hover-border-color: #{$nav-tabs-link-hover-border-color};\n  --#{$prefix}nav-tabs-link-active-color: #{$nav-tabs-link-active-color};\n  --#{$prefix}nav-tabs-link-active-bg: #{$nav-tabs-link-active-bg};\n  --#{$prefix}nav-tabs-link-active-border-color: #{$nav-tabs-link-active-border-color};\n  // scss-docs-end nav-tabs-css-vars\n\n  border-bottom: var(--#{$prefix}nav-tabs-border-width) solid var(--#{$prefix}nav-tabs-border-color);\n\n  .nav-link {\n    margin-bottom: calc(-1 * var(--#{$prefix}nav-tabs-border-width)); // stylelint-disable-line function-disallowed-list\n    border: var(--#{$prefix}nav-tabs-border-width) solid transparent;\n    @include border-top-radius(var(--#{$prefix}nav-tabs-border-radius));\n\n    &:hover,\n    &:focus {\n      // Prevents active .nav-link tab overlapping focus outline of previous/next .nav-link\n      isolation: isolate;\n      border-color: var(--#{$prefix}nav-tabs-link-hover-border-color);\n    }\n  }\n\n  .nav-link.active,\n  .nav-item.show .nav-link {\n    color: var(--#{$prefix}nav-tabs-link-active-color);\n    background-color: var(--#{$prefix}nav-tabs-link-active-bg);\n    border-color: var(--#{$prefix}nav-tabs-link-active-border-color);\n  }\n\n  .dropdown-menu {\n    // Make dropdown border overlap tab border\n    margin-top: calc(-1 * var(--#{$prefix}nav-tabs-border-width)); // stylelint-disable-line function-disallowed-list\n    // Remove the top rounded corners here since there is a hard edge above the menu\n    @include border-top-radius(0);\n  }\n}\n\n\n//\n// Pills\n//\n\n.nav-pills {\n  // scss-docs-start nav-pills-css-vars\n  --#{$prefix}nav-pills-border-radius: #{$nav-pills-border-radius};\n  --#{$prefix}nav-pills-link-active-color: #{$nav-pills-link-active-color};\n  --#{$prefix}nav-pills-link-active-bg: #{$nav-pills-link-active-bg};\n  // scss-docs-end nav-pills-css-vars\n\n  .nav-link {\n    @include border-radius(var(--#{$prefix}nav-pills-border-radius));\n  }\n\n  .nav-link.active,\n  .show > .nav-link {\n    color: var(--#{$prefix}nav-pills-link-active-color);\n    @include gradient-bg(var(--#{$prefix}nav-pills-link-active-bg));\n  }\n}\n\n\n//\n// Underline\n//\n\n.nav-underline {\n  // scss-docs-start nav-underline-css-vars\n  --#{$prefix}nav-underline-gap: #{$nav-underline-gap};\n  --#{$prefix}nav-underline-border-width: #{$nav-underline-border-width};\n  --#{$prefix}nav-underline-link-active-color: #{$nav-underline-link-active-color};\n  // scss-docs-end nav-underline-css-vars\n\n  gap: var(--#{$prefix}nav-underline-gap);\n\n  .nav-link {\n    padding-right: 0;\n    padding-left: 0;\n    border-bottom: var(--#{$prefix}nav-underline-border-width) solid transparent;\n\n    &:hover,\n    &:focus {\n      border-bottom-color: currentcolor;\n    }\n  }\n\n  .nav-link.active,\n  .show > .nav-link {\n    font-weight: $font-weight-bold;\n    color: var(--#{$prefix}nav-underline-link-active-color);\n    border-bottom-color: currentcolor;\n  }\n}\n\n\n//\n// Justified variants\n//\n\n.nav-fill {\n  > .nav-link,\n  .nav-item {\n    flex: 1 1 auto;\n    text-align: center;\n  }\n}\n\n.nav-justified {\n  > .nav-link,\n  .nav-item {\n    flex-basis: 0;\n    flex-grow: 1;\n    text-align: center;\n  }\n}\n\n.nav-fill,\n.nav-justified {\n  .nav-item .nav-link {\n    width: 100%; // Make sure button will grow\n  }\n}\n\n\n// Tabbable tabs\n//\n// Hide tabbable panes to start, show them when `.active`\n\n.tab-content {\n  > .tab-pane {\n    display: none;\n  }\n  > .active {\n    display: block;\n  }\n}\n","// Navbar\n//\n// Provide a static navbar from which we expand to create full-width, fixed, and\n// other navbar variations.\n\n.navbar {\n  // scss-docs-start navbar-css-vars\n  --#{$prefix}navbar-padding-x: #{if($navbar-padding-x == null, 0, $navbar-padding-x)};\n  --#{$prefix}navbar-padding-y: #{$navbar-padding-y};\n  --#{$prefix}navbar-color: #{$navbar-light-color};\n  --#{$prefix}navbar-hover-color: #{$navbar-light-hover-color};\n  --#{$prefix}navbar-disabled-color: #{$navbar-light-disabled-color};\n  --#{$prefix}navbar-active-color: #{$navbar-light-active-color};\n  --#{$prefix}navbar-brand-padding-y: #{$navbar-brand-padding-y};\n  --#{$prefix}navbar-brand-margin-end: #{$navbar-brand-margin-end};\n  --#{$prefix}navbar-brand-font-size: #{$navbar-brand-font-size};\n  --#{$prefix}navbar-brand-color: #{$navbar-light-brand-color};\n  --#{$prefix}navbar-brand-hover-color: #{$navbar-light-brand-hover-color};\n  --#{$prefix}navbar-nav-link-padding-x: #{$navbar-nav-link-padding-x};\n  --#{$prefix}navbar-toggler-padding-y: #{$navbar-toggler-padding-y};\n  --#{$prefix}navbar-toggler-padding-x: #{$navbar-toggler-padding-x};\n  --#{$prefix}navbar-toggler-font-size: #{$navbar-toggler-font-size};\n  --#{$prefix}navbar-toggler-icon-bg: #{escape-svg($navbar-light-toggler-icon-bg)};\n  --#{$prefix}navbar-toggler-border-color: #{$navbar-light-toggler-border-color};\n  --#{$prefix}navbar-toggler-border-radius: #{$navbar-toggler-border-radius};\n  --#{$prefix}navbar-toggler-focus-width: #{$navbar-toggler-focus-width};\n  --#{$prefix}navbar-toggler-transition: #{$navbar-toggler-transition};\n  // scss-docs-end navbar-css-vars\n\n  position: relative;\n  display: flex;\n  flex-wrap: wrap; // allow us to do the line break for collapsing content\n  align-items: center;\n  justify-content: space-between; // space out brand from logo\n  padding: var(--#{$prefix}navbar-padding-y) var(--#{$prefix}navbar-padding-x);\n  @include gradient-bg();\n\n  // Because flex properties aren't inherited, we need to redeclare these first\n  // few properties so that content nested within behave properly.\n  // The `flex-wrap` property is inherited to simplify the expanded navbars\n  %container-flex-properties {\n    display: flex;\n    flex-wrap: inherit;\n    align-items: center;\n    justify-content: space-between;\n  }\n\n  > .container,\n  > .container-fluid {\n    @extend %container-flex-properties;\n  }\n\n  @each $breakpoint, $container-max-width in $container-max-widths {\n    > .container#{breakpoint-infix($breakpoint, $container-max-widths)} {\n      @extend %container-flex-properties;\n    }\n  }\n}\n\n\n// Navbar brand\n//\n// Used for brand, project, or site names.\n\n.navbar-brand {\n  padding-top: var(--#{$prefix}navbar-brand-padding-y);\n  padding-bottom: var(--#{$prefix}navbar-brand-padding-y);\n  margin-right: var(--#{$prefix}navbar-brand-margin-end);\n  @include font-size(var(--#{$prefix}navbar-brand-font-size));\n  color: var(--#{$prefix}navbar-brand-color);\n  text-decoration: if($link-decoration == none, null, none);\n  white-space: nowrap;\n\n  &:hover,\n  &:focus {\n    color: var(--#{$prefix}navbar-brand-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n  }\n}\n\n\n// Navbar nav\n//\n// Custom navbar navigation (doesn't require `.nav`, but does make use of `.nav-link`).\n\n.navbar-nav {\n  // scss-docs-start navbar-nav-css-vars\n  --#{$prefix}nav-link-padding-x: 0;\n  --#{$prefix}nav-link-padding-y: #{$nav-link-padding-y};\n  @include rfs($nav-link-font-size, --#{$prefix}nav-link-font-size);\n  --#{$prefix}nav-link-font-weight: #{$nav-link-font-weight};\n  --#{$prefix}nav-link-color: var(--#{$prefix}navbar-color);\n  --#{$prefix}nav-link-hover-color: var(--#{$prefix}navbar-hover-color);\n  --#{$prefix}nav-link-disabled-color: var(--#{$prefix}navbar-disabled-color);\n  // scss-docs-end navbar-nav-css-vars\n\n  display: flex;\n  flex-direction: column; // cannot use `inherit` to get the `.navbar`s value\n  padding-left: 0;\n  margin-bottom: 0;\n  list-style: none;\n\n  .nav-link {\n    &.active,\n    &.show {\n      color: var(--#{$prefix}navbar-active-color);\n    }\n  }\n\n  .dropdown-menu {\n    position: static;\n  }\n}\n\n\n// Navbar text\n//\n//\n\n.navbar-text {\n  padding-top: $nav-link-padding-y;\n  padding-bottom: $nav-link-padding-y;\n  color: var(--#{$prefix}navbar-color);\n\n  a,\n  a:hover,\n  a:focus  {\n    color: var(--#{$prefix}navbar-active-color);\n  }\n}\n\n\n// Responsive navbar\n//\n// Custom styles for responsive collapsing and toggling of navbar contents.\n// Powered by the collapse Bootstrap JavaScript plugin.\n\n// When collapsed, prevent the toggleable navbar contents from appearing in\n// the default flexbox row orientation. Requires the use of `flex-wrap: wrap`\n// on the `.navbar` parent.\n.navbar-collapse {\n  flex-basis: 100%;\n  flex-grow: 1;\n  // For always expanded or extra full navbars, ensure content aligns itself\n  // properly vertically. Can be easily overridden with flex utilities.\n  align-items: center;\n}\n\n// Button for toggling the navbar when in its collapsed state\n.navbar-toggler {\n  padding: var(--#{$prefix}navbar-toggler-padding-y) var(--#{$prefix}navbar-toggler-padding-x);\n  @include font-size(var(--#{$prefix}navbar-toggler-font-size));\n  line-height: 1;\n  color: var(--#{$prefix}navbar-color);\n  background-color: transparent; // remove default button style\n  border: var(--#{$prefix}border-width) solid var(--#{$prefix}navbar-toggler-border-color); // remove default button style\n  @include border-radius(var(--#{$prefix}navbar-toggler-border-radius));\n  @include transition(var(--#{$prefix}navbar-toggler-transition));\n\n  &:hover {\n    text-decoration: none;\n  }\n\n  &:focus {\n    text-decoration: none;\n    outline: 0;\n    box-shadow: 0 0 0 var(--#{$prefix}navbar-toggler-focus-width);\n  }\n}\n\n// Keep as a separate element so folks can easily override it with another icon\n// or image file as needed.\n.navbar-toggler-icon {\n  display: inline-block;\n  width: 1.5em;\n  height: 1.5em;\n  vertical-align: middle;\n  background-image: var(--#{$prefix}navbar-toggler-icon-bg);\n  background-repeat: no-repeat;\n  background-position: center;\n  background-size: 100%;\n}\n\n.navbar-nav-scroll {\n  max-height: var(--#{$prefix}scroll-height, 75vh);\n  overflow-y: auto;\n}\n\n// scss-docs-start navbar-expand-loop\n// Generate series of `.navbar-expand-*` responsive classes for configuring\n// where your navbar collapses.\n.navbar-expand {\n  @each $breakpoint in map-keys($grid-breakpoints) {\n    $next: breakpoint-next($breakpoint, $grid-breakpoints);\n    $infix: breakpoint-infix($next, $grid-breakpoints);\n\n    // stylelint-disable-next-line scss/selector-no-union-class-name\n    &#{$infix} {\n      @include media-breakpoint-up($next) {\n        flex-wrap: nowrap;\n        justify-content: flex-start;\n\n        .navbar-nav {\n          flex-direction: row;\n\n          .dropdown-menu {\n            position: absolute;\n          }\n\n          .nav-link {\n            padding-right: var(--#{$prefix}navbar-nav-link-padding-x);\n            padding-left: var(--#{$prefix}navbar-nav-link-padding-x);\n          }\n        }\n\n        .navbar-nav-scroll {\n          overflow: visible;\n        }\n\n        .navbar-collapse {\n          display: flex !important; // stylelint-disable-line declaration-no-important\n          flex-basis: auto;\n        }\n\n        .navbar-toggler {\n          display: none;\n        }\n\n        .offcanvas {\n          // stylelint-disable declaration-no-important\n          position: static;\n          z-index: auto;\n          flex-grow: 1;\n          width: auto !important;\n          height: auto !important;\n          visibility: visible !important;\n          background-color: transparent !important;\n          border: 0 !important;\n          transform: none !important;\n          @include box-shadow(none);\n          @include transition(none);\n          // stylelint-enable declaration-no-important\n\n          .offcanvas-header {\n            display: none;\n          }\n\n          .offcanvas-body {\n            display: flex;\n            flex-grow: 0;\n            padding: 0;\n            overflow-y: visible;\n          }\n        }\n      }\n    }\n  }\n}\n// scss-docs-end navbar-expand-loop\n\n// Navbar themes\n//\n// Styles for switching between navbars with light or dark background.\n\n.navbar-light {\n  @include deprecate(\"`.navbar-light`\", \"v5.2.0\", \"v6.0.0\", true);\n}\n\n.navbar-dark,\n.navbar[data-bs-theme=\"dark\"] {\n  // scss-docs-start navbar-dark-css-vars\n  --#{$prefix}navbar-color: #{$navbar-dark-color};\n  --#{$prefix}navbar-hover-color: #{$navbar-dark-hover-color};\n  --#{$prefix}navbar-disabled-color: #{$navbar-dark-disabled-color};\n  --#{$prefix}navbar-active-color: #{$navbar-dark-active-color};\n  --#{$prefix}navbar-brand-color: #{$navbar-dark-brand-color};\n  --#{$prefix}navbar-brand-hover-color: #{$navbar-dark-brand-hover-color};\n  --#{$prefix}navbar-toggler-border-color: #{$navbar-dark-toggler-border-color};\n  --#{$prefix}navbar-toggler-icon-bg: #{escape-svg($navbar-dark-toggler-icon-bg)};\n  // scss-docs-end navbar-dark-css-vars\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .navbar-toggler-icon {\n      --#{$prefix}navbar-toggler-icon-bg: #{escape-svg($navbar-dark-toggler-icon-bg)};\n    }\n  }\n}\n","//\n// Base styles\n//\n\n.card {\n  // scss-docs-start card-css-vars\n  --#{$prefix}card-spacer-y: #{$card-spacer-y};\n  --#{$prefix}card-spacer-x: #{$card-spacer-x};\n  --#{$prefix}card-title-spacer-y: #{$card-title-spacer-y};\n  --#{$prefix}card-title-color: #{$card-title-color};\n  --#{$prefix}card-subtitle-color: #{$card-subtitle-color};\n  --#{$prefix}card-border-width: #{$card-border-width};\n  --#{$prefix}card-border-color: #{$card-border-color};\n  --#{$prefix}card-border-radius: #{$card-border-radius};\n  --#{$prefix}card-box-shadow: #{$card-box-shadow};\n  --#{$prefix}card-inner-border-radius: #{$card-inner-border-radius};\n  --#{$prefix}card-cap-padding-y: #{$card-cap-padding-y};\n  --#{$prefix}card-cap-padding-x: #{$card-cap-padding-x};\n  --#{$prefix}card-cap-bg: #{$card-cap-bg};\n  --#{$prefix}card-cap-color: #{$card-cap-color};\n  --#{$prefix}card-height: #{$card-height};\n  --#{$prefix}card-color: #{$card-color};\n  --#{$prefix}card-bg: #{$card-bg};\n  --#{$prefix}card-img-overlay-padding: #{$card-img-overlay-padding};\n  --#{$prefix}card-group-margin: #{$card-group-margin};\n  // scss-docs-end card-css-vars\n\n  position: relative;\n  display: flex;\n  flex-direction: column;\n  min-width: 0; // See https://github.com/twbs/bootstrap/pull/22740#issuecomment-305868106\n  height: var(--#{$prefix}card-height);\n  color: var(--#{$prefix}body-color);\n  word-wrap: break-word;\n  background-color: var(--#{$prefix}card-bg);\n  background-clip: border-box;\n  border: var(--#{$prefix}card-border-width) solid var(--#{$prefix}card-border-color);\n  @include border-radius(var(--#{$prefix}card-border-radius));\n  @include box-shadow(var(--#{$prefix}card-box-shadow));\n\n  > hr {\n    margin-right: 0;\n    margin-left: 0;\n  }\n\n  > .list-group {\n    border-top: inherit;\n    border-bottom: inherit;\n\n    &:first-child {\n      border-top-width: 0;\n      @include border-top-radius(var(--#{$prefix}card-inner-border-radius));\n    }\n\n    &:last-child  {\n      border-bottom-width: 0;\n      @include border-bottom-radius(var(--#{$prefix}card-inner-border-radius));\n    }\n  }\n\n  // Due to specificity of the above selector (`.card > .list-group`), we must\n  // use a child selector here to prevent double borders.\n  > .card-header + .list-group,\n  > .list-group + .card-footer {\n    border-top: 0;\n  }\n}\n\n.card-body {\n  // Enable `flex-grow: 1` for decks and groups so that card blocks take up\n  // as much space as possible, ensuring footers are aligned to the bottom.\n  flex: 1 1 auto;\n  padding: var(--#{$prefix}card-spacer-y) var(--#{$prefix}card-spacer-x);\n  color: var(--#{$prefix}card-color);\n}\n\n.card-title {\n  margin-bottom: var(--#{$prefix}card-title-spacer-y);\n  color: var(--#{$prefix}card-title-color);\n}\n\n.card-subtitle {\n  margin-top: calc(-.5 * var(--#{$prefix}card-title-spacer-y)); // stylelint-disable-line function-disallowed-list\n  margin-bottom: 0;\n  color: var(--#{$prefix}card-subtitle-color);\n}\n\n.card-text:last-child {\n  margin-bottom: 0;\n}\n\n.card-link {\n  &:hover {\n    text-decoration: if($link-hover-decoration == underline, none, null);\n  }\n\n  + .card-link {\n    margin-left: var(--#{$prefix}card-spacer-x);\n  }\n}\n\n//\n// Optional textual caps\n//\n\n.card-header {\n  padding: var(--#{$prefix}card-cap-padding-y) var(--#{$prefix}card-cap-padding-x);\n  margin-bottom: 0; // Removes the default margin-bottom of <hN>\n  color: var(--#{$prefix}card-cap-color);\n  background-color: var(--#{$prefix}card-cap-bg);\n  border-bottom: var(--#{$prefix}card-border-width) solid var(--#{$prefix}card-border-color);\n\n  &:first-child {\n    @include border-radius(var(--#{$prefix}card-inner-border-radius) var(--#{$prefix}card-inner-border-radius) 0 0);\n  }\n}\n\n.card-footer {\n  padding: var(--#{$prefix}card-cap-padding-y) var(--#{$prefix}card-cap-padding-x);\n  color: var(--#{$prefix}card-cap-color);\n  background-color: var(--#{$prefix}card-cap-bg);\n  border-top: var(--#{$prefix}card-border-width) solid var(--#{$prefix}card-border-color);\n\n  &:last-child {\n    @include border-radius(0 0 var(--#{$prefix}card-inner-border-radius) var(--#{$prefix}card-inner-border-radius));\n  }\n}\n\n\n//\n// Header navs\n//\n\n.card-header-tabs {\n  margin-right: calc(-.5 * var(--#{$prefix}card-cap-padding-x)); // stylelint-disable-line function-disallowed-list\n  margin-bottom: calc(-1 * var(--#{$prefix}card-cap-padding-y)); // stylelint-disable-line function-disallowed-list\n  margin-left: calc(-.5 * var(--#{$prefix}card-cap-padding-x)); // stylelint-disable-line function-disallowed-list\n  border-bottom: 0;\n\n  .nav-link.active {\n    background-color: var(--#{$prefix}card-bg);\n    border-bottom-color: var(--#{$prefix}card-bg);\n  }\n}\n\n.card-header-pills {\n  margin-right: calc(-.5 * var(--#{$prefix}card-cap-padding-x)); // stylelint-disable-line function-disallowed-list\n  margin-left: calc(-.5 * var(--#{$prefix}card-cap-padding-x)); // stylelint-disable-line function-disallowed-list\n}\n\n// Card image\n.card-img-overlay {\n  position: absolute;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  padding: var(--#{$prefix}card-img-overlay-padding);\n  @include border-radius(var(--#{$prefix}card-inner-border-radius));\n}\n\n.card-img,\n.card-img-top,\n.card-img-bottom {\n  width: 100%; // Required because we use flexbox and this inherently applies align-self: stretch\n}\n\n.card-img,\n.card-img-top {\n  @include border-top-radius(var(--#{$prefix}card-inner-border-radius));\n}\n\n.card-img,\n.card-img-bottom {\n  @include border-bottom-radius(var(--#{$prefix}card-inner-border-radius));\n}\n\n\n//\n// Card groups\n//\n\n.card-group {\n  // The child selector allows nested `.card` within `.card-group`\n  // to display properly.\n  > .card {\n    margin-bottom: var(--#{$prefix}card-group-margin);\n  }\n\n  @include media-breakpoint-up(sm) {\n    display: flex;\n    flex-flow: row wrap;\n    // The child selector allows nested `.card` within `.card-group`\n    // to display properly.\n    > .card {\n      // Flexbugs #4: https://github.com/philipwalton/flexbugs#flexbug-4\n      flex: 1 0 0%;\n      margin-bottom: 0;\n\n      + .card {\n        margin-left: 0;\n        border-left: 0;\n      }\n\n      // Handle rounded corners\n      @if $enable-rounded {\n        &:not(:last-child) {\n          @include border-end-radius(0);\n\n          .card-img-top,\n          .card-header {\n            // stylelint-disable-next-line property-disallowed-list\n            border-top-right-radius: 0;\n          }\n          .card-img-bottom,\n          .card-footer {\n            // stylelint-disable-next-line property-disallowed-list\n            border-bottom-right-radius: 0;\n          }\n        }\n\n        &:not(:first-child) {\n          @include border-start-radius(0);\n\n          .card-img-top,\n          .card-header {\n            // stylelint-disable-next-line property-disallowed-list\n            border-top-left-radius: 0;\n          }\n          .card-img-bottom,\n          .card-footer {\n            // stylelint-disable-next-line property-disallowed-list\n            border-bottom-left-radius: 0;\n          }\n        }\n      }\n    }\n  }\n}\n","//\n// Base styles\n//\n\n.accordion {\n  // scss-docs-start accordion-css-vars\n  --#{$prefix}accordion-color: #{$accordion-color};\n  --#{$prefix}accordion-bg: #{$accordion-bg};\n  --#{$prefix}accordion-transition: #{$accordion-transition};\n  --#{$prefix}accordion-border-color: #{$accordion-border-color};\n  --#{$prefix}accordion-border-width: #{$accordion-border-width};\n  --#{$prefix}accordion-border-radius: #{$accordion-border-radius};\n  --#{$prefix}accordion-inner-border-radius: #{$accordion-inner-border-radius};\n  --#{$prefix}accordion-btn-padding-x: #{$accordion-button-padding-x};\n  --#{$prefix}accordion-btn-padding-y: #{$accordion-button-padding-y};\n  --#{$prefix}accordion-btn-color: #{$accordion-button-color};\n  --#{$prefix}accordion-btn-bg: #{$accordion-button-bg};\n  --#{$prefix}accordion-btn-icon: #{escape-svg($accordion-button-icon)};\n  --#{$prefix}accordion-btn-icon-width: #{$accordion-icon-width};\n  --#{$prefix}accordion-btn-icon-transform: #{$accordion-icon-transform};\n  --#{$prefix}accordion-btn-icon-transition: #{$accordion-icon-transition};\n  --#{$prefix}accordion-btn-active-icon: #{escape-svg($accordion-button-active-icon)};\n  --#{$prefix}accordion-btn-focus-box-shadow: #{$accordion-button-focus-box-shadow};\n  --#{$prefix}accordion-body-padding-x: #{$accordion-body-padding-x};\n  --#{$prefix}accordion-body-padding-y: #{$accordion-body-padding-y};\n  --#{$prefix}accordion-active-color: #{$accordion-button-active-color};\n  --#{$prefix}accordion-active-bg: #{$accordion-button-active-bg};\n  // scss-docs-end accordion-css-vars\n}\n\n.accordion-button {\n  position: relative;\n  display: flex;\n  align-items: center;\n  width: 100%;\n  padding: var(--#{$prefix}accordion-btn-padding-y) var(--#{$prefix}accordion-btn-padding-x);\n  @include font-size($font-size-base);\n  color: var(--#{$prefix}accordion-btn-color);\n  text-align: left; // Reset button style\n  background-color: var(--#{$prefix}accordion-btn-bg);\n  border: 0;\n  @include border-radius(0);\n  overflow-anchor: none;\n  @include transition(var(--#{$prefix}accordion-transition));\n\n  &:not(.collapsed) {\n    color: var(--#{$prefix}accordion-active-color);\n    background-color: var(--#{$prefix}accordion-active-bg);\n    box-shadow: inset 0 calc(-1 * var(--#{$prefix}accordion-border-width)) 0 var(--#{$prefix}accordion-border-color); // stylelint-disable-line function-disallowed-list\n\n    &::after {\n      background-image: var(--#{$prefix}accordion-btn-active-icon);\n      transform: var(--#{$prefix}accordion-btn-icon-transform);\n    }\n  }\n\n  // Accordion icon\n  &::after {\n    flex-shrink: 0;\n    width: var(--#{$prefix}accordion-btn-icon-width);\n    height: var(--#{$prefix}accordion-btn-icon-width);\n    margin-left: auto;\n    content: \"\";\n    background-image: var(--#{$prefix}accordion-btn-icon);\n    background-repeat: no-repeat;\n    background-size: var(--#{$prefix}accordion-btn-icon-width);\n    @include transition(var(--#{$prefix}accordion-btn-icon-transition));\n  }\n\n  &:hover {\n    z-index: 2;\n  }\n\n  &:focus {\n    z-index: 3;\n    outline: 0;\n    box-shadow: var(--#{$prefix}accordion-btn-focus-box-shadow);\n  }\n}\n\n.accordion-header {\n  margin-bottom: 0;\n}\n\n.accordion-item {\n  color: var(--#{$prefix}accordion-color);\n  background-color: var(--#{$prefix}accordion-bg);\n  border: var(--#{$prefix}accordion-border-width) solid var(--#{$prefix}accordion-border-color);\n\n  &:first-of-type {\n    @include border-top-radius(var(--#{$prefix}accordion-border-radius));\n\n    > .accordion-header .accordion-button {\n      @include border-top-radius(var(--#{$prefix}accordion-inner-border-radius));\n    }\n  }\n\n  &:not(:first-of-type) {\n    border-top: 0;\n  }\n\n  // Only set a border-radius on the last item if the accordion is collapsed\n  &:last-of-type {\n    @include border-bottom-radius(var(--#{$prefix}accordion-border-radius));\n\n    > .accordion-header .accordion-button {\n      &.collapsed {\n        @include border-bottom-radius(var(--#{$prefix}accordion-inner-border-radius));\n      }\n    }\n\n    > .accordion-collapse {\n      @include border-bottom-radius(var(--#{$prefix}accordion-border-radius));\n    }\n  }\n}\n\n.accordion-body {\n  padding: var(--#{$prefix}accordion-body-padding-y) var(--#{$prefix}accordion-body-padding-x);\n}\n\n\n// Flush accordion items\n//\n// Remove borders and border-radius to keep accordion items edge-to-edge.\n\n.accordion-flush {\n  > .accordion-item {\n    border-right: 0;\n    border-left: 0;\n    @include border-radius(0);\n\n    &:first-child { border-top: 0; }\n    &:last-child { border-bottom: 0; }\n\n    // stylelint-disable selector-max-class\n    > .accordion-header .accordion-button {\n      &,\n      &.collapsed {\n        @include border-radius(0);\n      }\n    }\n    // stylelint-enable selector-max-class\n\n    > .accordion-collapse {\n      @include border-radius(0);\n    }\n  }\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .accordion-button::after {\n      --#{$prefix}accordion-btn-icon: #{escape-svg($accordion-button-icon-dark)};\n      --#{$prefix}accordion-btn-active-icon: #{escape-svg($accordion-button-active-icon-dark)};\n    }\n  }\n}\n",".breadcrumb {\n  // scss-docs-start breadcrumb-css-vars\n  --#{$prefix}breadcrumb-padding-x: #{$breadcrumb-padding-x};\n  --#{$prefix}breadcrumb-padding-y: #{$breadcrumb-padding-y};\n  --#{$prefix}breadcrumb-margin-bottom: #{$breadcrumb-margin-bottom};\n  @include rfs($breadcrumb-font-size, --#{$prefix}breadcrumb-font-size);\n  --#{$prefix}breadcrumb-bg: #{$breadcrumb-bg};\n  --#{$prefix}breadcrumb-border-radius: #{$breadcrumb-border-radius};\n  --#{$prefix}breadcrumb-divider-color: #{$breadcrumb-divider-color};\n  --#{$prefix}breadcrumb-item-padding-x: #{$breadcrumb-item-padding-x};\n  --#{$prefix}breadcrumb-item-active-color: #{$breadcrumb-active-color};\n  // scss-docs-end breadcrumb-css-vars\n\n  display: flex;\n  flex-wrap: wrap;\n  padding: var(--#{$prefix}breadcrumb-padding-y) var(--#{$prefix}breadcrumb-padding-x);\n  margin-bottom: var(--#{$prefix}breadcrumb-margin-bottom);\n  @include font-size(var(--#{$prefix}breadcrumb-font-size));\n  list-style: none;\n  background-color: var(--#{$prefix}breadcrumb-bg);\n  @include border-radius(var(--#{$prefix}breadcrumb-border-radius));\n}\n\n.breadcrumb-item {\n  // The separator between breadcrumbs (by default, a forward-slash: \"/\")\n  + .breadcrumb-item {\n    padding-left: var(--#{$prefix}breadcrumb-item-padding-x);\n\n    &::before {\n      float: left; // Suppress inline spacings and underlining of the separator\n      padding-right: var(--#{$prefix}breadcrumb-item-padding-x);\n      color: var(--#{$prefix}breadcrumb-divider-color);\n      content: var(--#{$prefix}breadcrumb-divider, escape-svg($breadcrumb-divider)) #{\"/* rtl:\"} var(--#{$prefix}breadcrumb-divider, escape-svg($breadcrumb-divider-flipped)) #{\"*/\"};\n    }\n  }\n\n  &.active {\n    color: var(--#{$prefix}breadcrumb-item-active-color);\n  }\n}\n",".pagination {\n  // scss-docs-start pagination-css-vars\n  --#{$prefix}pagination-padding-x: #{$pagination-padding-x};\n  --#{$prefix}pagination-padding-y: #{$pagination-padding-y};\n  @include rfs($pagination-font-size, --#{$prefix}pagination-font-size);\n  --#{$prefix}pagination-color: #{$pagination-color};\n  --#{$prefix}pagination-bg: #{$pagination-bg};\n  --#{$prefix}pagination-border-width: #{$pagination-border-width};\n  --#{$prefix}pagination-border-color: #{$pagination-border-color};\n  --#{$prefix}pagination-border-radius: #{$pagination-border-radius};\n  --#{$prefix}pagination-hover-color: #{$pagination-hover-color};\n  --#{$prefix}pagination-hover-bg: #{$pagination-hover-bg};\n  --#{$prefix}pagination-hover-border-color: #{$pagination-hover-border-color};\n  --#{$prefix}pagination-focus-color: #{$pagination-focus-color};\n  --#{$prefix}pagination-focus-bg: #{$pagination-focus-bg};\n  --#{$prefix}pagination-focus-box-shadow: #{$pagination-focus-box-shadow};\n  --#{$prefix}pagination-active-color: #{$pagination-active-color};\n  --#{$prefix}pagination-active-bg: #{$pagination-active-bg};\n  --#{$prefix}pagination-active-border-color: #{$pagination-active-border-color};\n  --#{$prefix}pagination-disabled-color: #{$pagination-disabled-color};\n  --#{$prefix}pagination-disabled-bg: #{$pagination-disabled-bg};\n  --#{$prefix}pagination-disabled-border-color: #{$pagination-disabled-border-color};\n  // scss-docs-end pagination-css-vars\n\n  display: flex;\n  @include list-unstyled();\n}\n\n.page-link {\n  position: relative;\n  display: block;\n  padding: var(--#{$prefix}pagination-padding-y) var(--#{$prefix}pagination-padding-x);\n  @include font-size(var(--#{$prefix}pagination-font-size));\n  color: var(--#{$prefix}pagination-color);\n  text-decoration: if($link-decoration == none, null, none);\n  background-color: var(--#{$prefix}pagination-bg);\n  border: var(--#{$prefix}pagination-border-width) solid var(--#{$prefix}pagination-border-color);\n  @include transition($pagination-transition);\n\n  &:hover {\n    z-index: 2;\n    color: var(--#{$prefix}pagination-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n    background-color: var(--#{$prefix}pagination-hover-bg);\n    border-color: var(--#{$prefix}pagination-hover-border-color);\n  }\n\n  &:focus {\n    z-index: 3;\n    color: var(--#{$prefix}pagination-focus-color);\n    background-color: var(--#{$prefix}pagination-focus-bg);\n    outline: $pagination-focus-outline;\n    box-shadow: var(--#{$prefix}pagination-focus-box-shadow);\n  }\n\n  &.active,\n  .active > & {\n    z-index: 3;\n    color: var(--#{$prefix}pagination-active-color);\n    @include gradient-bg(var(--#{$prefix}pagination-active-bg));\n    border-color: var(--#{$prefix}pagination-active-border-color);\n  }\n\n  &.disabled,\n  .disabled > & {\n    color: var(--#{$prefix}pagination-disabled-color);\n    pointer-events: none;\n    background-color: var(--#{$prefix}pagination-disabled-bg);\n    border-color: var(--#{$prefix}pagination-disabled-border-color);\n  }\n}\n\n.page-item {\n  &:not(:first-child) .page-link {\n    margin-left: $pagination-margin-start;\n  }\n\n  @if $pagination-margin-start == calc(#{$pagination-border-width} * -1) {\n    &:first-child {\n      .page-link {\n        @include border-start-radius(var(--#{$prefix}pagination-border-radius));\n      }\n    }\n\n    &:last-child {\n      .page-link {\n        @include border-end-radius(var(--#{$prefix}pagination-border-radius));\n      }\n    }\n  } @else {\n    // Add border-radius to all pageLinks in case they have left margin\n    .page-link {\n      @include border-radius(var(--#{$prefix}pagination-border-radius));\n    }\n  }\n}\n\n\n//\n// Sizing\n//\n\n.pagination-lg {\n  @include pagination-size($pagination-padding-y-lg, $pagination-padding-x-lg, $font-size-lg, $pagination-border-radius-lg);\n}\n\n.pagination-sm {\n  @include pagination-size($pagination-padding-y-sm, $pagination-padding-x-sm, $font-size-sm, $pagination-border-radius-sm);\n}\n","// Pagination\n\n// scss-docs-start pagination-mixin\n@mixin pagination-size($padding-y, $padding-x, $font-size, $border-radius) {\n  --#{$prefix}pagination-padding-x: #{$padding-x};\n  --#{$prefix}pagination-padding-y: #{$padding-y};\n  @include rfs($font-size, --#{$prefix}pagination-font-size);\n  --#{$prefix}pagination-border-radius: #{$border-radius};\n}\n// scss-docs-end pagination-mixin\n","// Base class\n//\n// Requires one of the contextual, color modifier classes for `color` and\n// `background-color`.\n\n.badge {\n  // scss-docs-start badge-css-vars\n  --#{$prefix}badge-padding-x: #{$badge-padding-x};\n  --#{$prefix}badge-padding-y: #{$badge-padding-y};\n  @include rfs($badge-font-size, --#{$prefix}badge-font-size);\n  --#{$prefix}badge-font-weight: #{$badge-font-weight};\n  --#{$prefix}badge-color: #{$badge-color};\n  --#{$prefix}badge-border-radius: #{$badge-border-radius};\n  // scss-docs-end badge-css-vars\n\n  display: inline-block;\n  padding: var(--#{$prefix}badge-padding-y) var(--#{$prefix}badge-padding-x);\n  @include font-size(var(--#{$prefix}badge-font-size));\n  font-weight: var(--#{$prefix}badge-font-weight);\n  line-height: 1;\n  color: var(--#{$prefix}badge-color);\n  text-align: center;\n  white-space: nowrap;\n  vertical-align: baseline;\n  @include border-radius(var(--#{$prefix}badge-border-radius));\n  @include gradient-bg();\n\n  // Empty badges collapse automatically\n  &:empty {\n    display: none;\n  }\n}\n\n// Quick fix for badges in buttons\n.btn .badge {\n  position: relative;\n  top: -1px;\n}\n","//\n// Base styles\n//\n\n.alert {\n  // scss-docs-start alert-css-vars\n  --#{$prefix}alert-bg: transparent;\n  --#{$prefix}alert-padding-x: #{$alert-padding-x};\n  --#{$prefix}alert-padding-y: #{$alert-padding-y};\n  --#{$prefix}alert-margin-bottom: #{$alert-margin-bottom};\n  --#{$prefix}alert-color: inherit;\n  --#{$prefix}alert-border-color: transparent;\n  --#{$prefix}alert-border: #{$alert-border-width} solid var(--#{$prefix}alert-border-color);\n  --#{$prefix}alert-border-radius: #{$alert-border-radius};\n  --#{$prefix}alert-link-color: inherit;\n  // scss-docs-end alert-css-vars\n\n  position: relative;\n  padding: var(--#{$prefix}alert-padding-y) var(--#{$prefix}alert-padding-x);\n  margin-bottom: var(--#{$prefix}alert-margin-bottom);\n  color: var(--#{$prefix}alert-color);\n  background-color: var(--#{$prefix}alert-bg);\n  border: var(--#{$prefix}alert-border);\n  @include border-radius(var(--#{$prefix}alert-border-radius));\n}\n\n// Headings for larger alerts\n.alert-heading {\n  // Specified to prevent conflicts of changing $headings-color\n  color: inherit;\n}\n\n// Provide class for links that match alerts\n.alert-link {\n  font-weight: $alert-link-font-weight;\n  color: var(--#{$prefix}alert-link-color);\n}\n\n\n// Dismissible alerts\n//\n// Expand the right padding and account for the close button's positioning.\n\n.alert-dismissible {\n  padding-right: $alert-dismissible-padding-r;\n\n  // Adjust close link position\n  .btn-close {\n    position: absolute;\n    top: 0;\n    right: 0;\n    z-index: $stretched-link-z-index + 1;\n    padding: $alert-padding-y * 1.25 $alert-padding-x;\n  }\n}\n\n\n// scss-docs-start alert-modifiers\n// Generate contextual modifier classes for colorizing the alert\n@each $state in map-keys($theme-colors) {\n  .alert-#{$state} {\n    --#{$prefix}alert-color: var(--#{$prefix}#{$state}-text-emphasis);\n    --#{$prefix}alert-bg: var(--#{$prefix}#{$state}-bg-subtle);\n    --#{$prefix}alert-border-color: var(--#{$prefix}#{$state}-border-subtle);\n    --#{$prefix}alert-link-color: var(--#{$prefix}#{$state}-text-emphasis);\n  }\n}\n// scss-docs-end alert-modifiers\n","// Disable animation if transitions are disabled\n\n// scss-docs-start progress-keyframes\n@if $enable-transitions {\n  @keyframes progress-bar-stripes {\n    0% { background-position-x: $progress-height; }\n  }\n}\n// scss-docs-end progress-keyframes\n\n.progress,\n.progress-stacked {\n  // scss-docs-start progress-css-vars\n  --#{$prefix}progress-height: #{$progress-height};\n  @include rfs($progress-font-size, --#{$prefix}progress-font-size);\n  --#{$prefix}progress-bg: #{$progress-bg};\n  --#{$prefix}progress-border-radius: #{$progress-border-radius};\n  --#{$prefix}progress-box-shadow: #{$progress-box-shadow};\n  --#{$prefix}progress-bar-color: #{$progress-bar-color};\n  --#{$prefix}progress-bar-bg: #{$progress-bar-bg};\n  --#{$prefix}progress-bar-transition: #{$progress-bar-transition};\n  // scss-docs-end progress-css-vars\n\n  display: flex;\n  height: var(--#{$prefix}progress-height);\n  overflow: hidden; // force rounded corners by cropping it\n  @include font-size(var(--#{$prefix}progress-font-size));\n  background-color: var(--#{$prefix}progress-bg);\n  @include border-radius(var(--#{$prefix}progress-border-radius));\n  @include box-shadow(var(--#{$prefix}progress-box-shadow));\n}\n\n.progress-bar {\n  display: flex;\n  flex-direction: column;\n  justify-content: center;\n  overflow: hidden;\n  color: var(--#{$prefix}progress-bar-color);\n  text-align: center;\n  white-space: nowrap;\n  background-color: var(--#{$prefix}progress-bar-bg);\n  @include transition(var(--#{$prefix}progress-bar-transition));\n}\n\n.progress-bar-striped {\n  @include gradient-striped();\n  background-size: var(--#{$prefix}progress-height) var(--#{$prefix}progress-height);\n}\n\n.progress-stacked > .progress {\n  overflow: visible;\n}\n\n.progress-stacked > .progress > .progress-bar {\n  width: 100%;\n}\n\n@if $enable-transitions {\n  .progress-bar-animated {\n    animation: $progress-bar-animation-timing progress-bar-stripes;\n\n    @if $enable-reduced-motion {\n      @media (prefers-reduced-motion: reduce) {\n        animation: none;\n      }\n    }\n  }\n}\n","// Base class\n//\n// Easily usable on <ul>, <ol>, or <div>.\n\n.list-group {\n  // scss-docs-start list-group-css-vars\n  --#{$prefix}list-group-color: #{$list-group-color};\n  --#{$prefix}list-group-bg: #{$list-group-bg};\n  --#{$prefix}list-group-border-color: #{$list-group-border-color};\n  --#{$prefix}list-group-border-width: #{$list-group-border-width};\n  --#{$prefix}list-group-border-radius: #{$list-group-border-radius};\n  --#{$prefix}list-group-item-padding-x: #{$list-group-item-padding-x};\n  --#{$prefix}list-group-item-padding-y: #{$list-group-item-padding-y};\n  --#{$prefix}list-group-action-color: #{$list-group-action-color};\n  --#{$prefix}list-group-action-hover-color: #{$list-group-action-hover-color};\n  --#{$prefix}list-group-action-hover-bg: #{$list-group-hover-bg};\n  --#{$prefix}list-group-action-active-color: #{$list-group-action-active-color};\n  --#{$prefix}list-group-action-active-bg: #{$list-group-action-active-bg};\n  --#{$prefix}list-group-disabled-color: #{$list-group-disabled-color};\n  --#{$prefix}list-group-disabled-bg: #{$list-group-disabled-bg};\n  --#{$prefix}list-group-active-color: #{$list-group-active-color};\n  --#{$prefix}list-group-active-bg: #{$list-group-active-bg};\n  --#{$prefix}list-group-active-border-color: #{$list-group-active-border-color};\n  // scss-docs-end list-group-css-vars\n\n  display: flex;\n  flex-direction: column;\n\n  // No need to set list-style: none; since .list-group-item is block level\n  padding-left: 0; // reset padding because ul and ol\n  margin-bottom: 0;\n  @include border-radius(var(--#{$prefix}list-group-border-radius));\n}\n\n.list-group-numbered {\n  list-style-type: none;\n  counter-reset: section;\n\n  > .list-group-item::before {\n    // Increments only this instance of the section counter\n    content: counters(section, \".\") \". \";\n    counter-increment: section;\n  }\n}\n\n// Interactive list items\n//\n// Use anchor or button elements instead of `li`s or `div`s to create interactive\n// list items. Includes an extra `.active` modifier class for selected items.\n\n.list-group-item-action {\n  width: 100%; // For `<button>`s (anchors become 100% by default though)\n  color: var(--#{$prefix}list-group-action-color);\n  text-align: inherit; // For `<button>`s (anchors inherit)\n\n  // Hover state\n  &:hover,\n  &:focus {\n    z-index: 1; // Place hover/focus items above their siblings for proper border styling\n    color: var(--#{$prefix}list-group-action-hover-color);\n    text-decoration: none;\n    background-color: var(--#{$prefix}list-group-action-hover-bg);\n  }\n\n  &:active {\n    color: var(--#{$prefix}list-group-action-active-color);\n    background-color: var(--#{$prefix}list-group-action-active-bg);\n  }\n}\n\n// Individual list items\n//\n// Use on `li`s or `div`s within the `.list-group` parent.\n\n.list-group-item {\n  position: relative;\n  display: block;\n  padding: var(--#{$prefix}list-group-item-padding-y) var(--#{$prefix}list-group-item-padding-x);\n  color: var(--#{$prefix}list-group-color);\n  text-decoration: if($link-decoration == none, null, none);\n  background-color: var(--#{$prefix}list-group-bg);\n  border: var(--#{$prefix}list-group-border-width) solid var(--#{$prefix}list-group-border-color);\n\n  &:first-child {\n    @include border-top-radius(inherit);\n  }\n\n  &:last-child {\n    @include border-bottom-radius(inherit);\n  }\n\n  &.disabled,\n  &:disabled {\n    color: var(--#{$prefix}list-group-disabled-color);\n    pointer-events: none;\n    background-color: var(--#{$prefix}list-group-disabled-bg);\n  }\n\n  // Include both here for `<a>`s and `<button>`s\n  &.active {\n    z-index: 2; // Place active items above their siblings for proper border styling\n    color: var(--#{$prefix}list-group-active-color);\n    background-color: var(--#{$prefix}list-group-active-bg);\n    border-color: var(--#{$prefix}list-group-active-border-color);\n  }\n\n  // stylelint-disable-next-line scss/selector-no-redundant-nesting-selector\n  & + .list-group-item {\n    border-top-width: 0;\n\n    &.active {\n      margin-top: calc(-1 * var(--#{$prefix}list-group-border-width)); // stylelint-disable-line function-disallowed-list\n      border-top-width: var(--#{$prefix}list-group-border-width);\n    }\n  }\n}\n\n// Horizontal\n//\n// Change the layout of list group items from vertical (default) to horizontal.\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  @include media-breakpoint-up($breakpoint) {\n    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    .list-group-horizontal#{$infix} {\n      flex-direction: row;\n\n      > .list-group-item {\n        &:first-child:not(:last-child) {\n          @include border-bottom-start-radius(var(--#{$prefix}list-group-border-radius));\n          @include border-top-end-radius(0);\n        }\n\n        &:last-child:not(:first-child) {\n          @include border-top-end-radius(var(--#{$prefix}list-group-border-radius));\n          @include border-bottom-start-radius(0);\n        }\n\n        &.active {\n          margin-top: 0;\n        }\n\n        + .list-group-item {\n          border-top-width: var(--#{$prefix}list-group-border-width);\n          border-left-width: 0;\n\n          &.active {\n            margin-left: calc(-1 * var(--#{$prefix}list-group-border-width)); // stylelint-disable-line function-disallowed-list\n            border-left-width: var(--#{$prefix}list-group-border-width);\n          }\n        }\n      }\n    }\n  }\n}\n\n\n// Flush list items\n//\n// Remove borders and border-radius to keep list group items edge-to-edge. Most\n// useful within other components (e.g., cards).\n\n.list-group-flush {\n  @include border-radius(0);\n\n  > .list-group-item {\n    border-width: 0 0 var(--#{$prefix}list-group-border-width);\n\n    &:last-child {\n      border-bottom-width: 0;\n    }\n  }\n}\n\n\n// scss-docs-start list-group-modifiers\n// List group contextual variants\n//\n// Add modifier classes to change text and background color on individual items.\n// Organizationally, this must come after the `:hover` states.\n\n@each $state in map-keys($theme-colors) {\n  .list-group-item-#{$state} {\n    --#{$prefix}list-group-color: var(--#{$prefix}#{$state}-text-emphasis);\n    --#{$prefix}list-group-bg: var(--#{$prefix}#{$state}-bg-subtle);\n    --#{$prefix}list-group-border-color: var(--#{$prefix}#{$state}-border-subtle);\n    --#{$prefix}list-group-action-hover-color: var(--#{$prefix}emphasis-color);\n    --#{$prefix}list-group-action-hover-bg: var(--#{$prefix}#{$state}-border-subtle);\n    --#{$prefix}list-group-action-active-color: var(--#{$prefix}emphasis-color);\n    --#{$prefix}list-group-action-active-bg: var(--#{$prefix}#{$state}-border-subtle);\n    --#{$prefix}list-group-active-color: var(--#{$prefix}#{$state}-bg-subtle);\n    --#{$prefix}list-group-active-bg: var(--#{$prefix}#{$state}-text-emphasis);\n    --#{$prefix}list-group-active-border-color: var(--#{$prefix}#{$state}-text-emphasis);\n  }\n}\n// scss-docs-end list-group-modifiers\n","// Transparent background and border properties included for button version.\n// iOS requires the button element instead of an anchor tag.\n// If you want the anchor version, it requires `href=\"#\"`.\n// See https://developer.mozilla.org/en-US/docs/Web/Events/click#Safari_Mobile\n\n.btn-close {\n  // scss-docs-start close-css-vars\n  --#{$prefix}btn-close-color: #{$btn-close-color};\n  --#{$prefix}btn-close-bg: #{ escape-svg($btn-close-bg) };\n  --#{$prefix}btn-close-opacity: #{$btn-close-opacity};\n  --#{$prefix}btn-close-hover-opacity: #{$btn-close-hover-opacity};\n  --#{$prefix}btn-close-focus-shadow: #{$btn-close-focus-shadow};\n  --#{$prefix}btn-close-focus-opacity: #{$btn-close-focus-opacity};\n  --#{$prefix}btn-close-disabled-opacity: #{$btn-close-disabled-opacity};\n  --#{$prefix}btn-close-white-filter: #{$btn-close-white-filter};\n  // scss-docs-end close-css-vars\n\n  box-sizing: content-box;\n  width: $btn-close-width;\n  height: $btn-close-height;\n  padding: $btn-close-padding-y $btn-close-padding-x;\n  color: var(--#{$prefix}btn-close-color);\n  background: transparent var(--#{$prefix}btn-close-bg) center / $btn-close-width auto no-repeat; // include transparent for button elements\n  border: 0; // for button elements\n  @include border-radius();\n  opacity: var(--#{$prefix}btn-close-opacity);\n\n  // Override <a>'s hover style\n  &:hover {\n    color: var(--#{$prefix}btn-close-color);\n    text-decoration: none;\n    opacity: var(--#{$prefix}btn-close-hover-opacity);\n  }\n\n  &:focus {\n    outline: 0;\n    box-shadow: var(--#{$prefix}btn-close-focus-shadow);\n    opacity: var(--#{$prefix}btn-close-focus-opacity);\n  }\n\n  &:disabled,\n  &.disabled {\n    pointer-events: none;\n    user-select: none;\n    opacity: var(--#{$prefix}btn-close-disabled-opacity);\n  }\n}\n\n@mixin btn-close-white() {\n  filter: var(--#{$prefix}btn-close-white-filter);\n}\n\n.btn-close-white {\n  @include btn-close-white();\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .btn-close {\n      @include btn-close-white();\n    }\n  }\n}\n",".toast {\n  // scss-docs-start toast-css-vars\n  --#{$prefix}toast-zindex: #{$zindex-toast};\n  --#{$prefix}toast-padding-x: #{$toast-padding-x};\n  --#{$prefix}toast-padding-y: #{$toast-padding-y};\n  --#{$prefix}toast-spacing: #{$toast-spacing};\n  --#{$prefix}toast-max-width: #{$toast-max-width};\n  @include rfs($toast-font-size, --#{$prefix}toast-font-size);\n  --#{$prefix}toast-color: #{$toast-color};\n  --#{$prefix}toast-bg: #{$toast-background-color};\n  --#{$prefix}toast-border-width: #{$toast-border-width};\n  --#{$prefix}toast-border-color: #{$toast-border-color};\n  --#{$prefix}toast-border-radius: #{$toast-border-radius};\n  --#{$prefix}toast-box-shadow: #{$toast-box-shadow};\n  --#{$prefix}toast-header-color: #{$toast-header-color};\n  --#{$prefix}toast-header-bg: #{$toast-header-background-color};\n  --#{$prefix}toast-header-border-color: #{$toast-header-border-color};\n  // scss-docs-end toast-css-vars\n\n  width: var(--#{$prefix}toast-max-width);\n  max-width: 100%;\n  @include font-size(var(--#{$prefix}toast-font-size));\n  color: var(--#{$prefix}toast-color);\n  pointer-events: auto;\n  background-color: var(--#{$prefix}toast-bg);\n  background-clip: padding-box;\n  border: var(--#{$prefix}toast-border-width) solid var(--#{$prefix}toast-border-color);\n  box-shadow: var(--#{$prefix}toast-box-shadow);\n  @include border-radius(var(--#{$prefix}toast-border-radius));\n\n  &.showing {\n    opacity: 0;\n  }\n\n  &:not(.show) {\n    display: none;\n  }\n}\n\n.toast-container {\n  --#{$prefix}toast-zindex: #{$zindex-toast};\n\n  position: absolute;\n  z-index: var(--#{$prefix}toast-zindex);\n  width: max-content;\n  max-width: 100%;\n  pointer-events: none;\n\n  > :not(:last-child) {\n    margin-bottom: var(--#{$prefix}toast-spacing);\n  }\n}\n\n.toast-header {\n  display: flex;\n  align-items: center;\n  padding: var(--#{$prefix}toast-padding-y) var(--#{$prefix}toast-padding-x);\n  color: var(--#{$prefix}toast-header-color);\n  background-color: var(--#{$prefix}toast-header-bg);\n  background-clip: padding-box;\n  border-bottom: var(--#{$prefix}toast-border-width) solid var(--#{$prefix}toast-header-border-color);\n  @include border-top-radius(calc(var(--#{$prefix}toast-border-radius) - var(--#{$prefix}toast-border-width)));\n\n  .btn-close {\n    margin-right: calc(-.5 * var(--#{$prefix}toast-padding-x)); // stylelint-disable-line function-disallowed-list\n    margin-left: var(--#{$prefix}toast-padding-x);\n  }\n}\n\n.toast-body {\n  padding: var(--#{$prefix}toast-padding-x);\n  word-wrap: break-word;\n}\n","// stylelint-disable function-disallowed-list\n\n// .modal-open      - body class for killing the scroll\n// .modal           - container to scroll within\n// .modal-dialog    - positioning shell for the actual modal\n// .modal-content   - actual modal w/ bg and corners and stuff\n\n\n// Container that the modal scrolls within\n.modal {\n  // scss-docs-start modal-css-vars\n  --#{$prefix}modal-zindex: #{$zindex-modal};\n  --#{$prefix}modal-width: #{$modal-md};\n  --#{$prefix}modal-padding: #{$modal-inner-padding};\n  --#{$prefix}modal-margin: #{$modal-dialog-margin};\n  --#{$prefix}modal-color: #{$modal-content-color};\n  --#{$prefix}modal-bg: #{$modal-content-bg};\n  --#{$prefix}modal-border-color: #{$modal-content-border-color};\n  --#{$prefix}modal-border-width: #{$modal-content-border-width};\n  --#{$prefix}modal-border-radius: #{$modal-content-border-radius};\n  --#{$prefix}modal-box-shadow: #{$modal-content-box-shadow-xs};\n  --#{$prefix}modal-inner-border-radius: #{$modal-content-inner-border-radius};\n  --#{$prefix}modal-header-padding-x: #{$modal-header-padding-x};\n  --#{$prefix}modal-header-padding-y: #{$modal-header-padding-y};\n  --#{$prefix}modal-header-padding: #{$modal-header-padding}; // Todo in v6: Split this padding into x and y\n  --#{$prefix}modal-header-border-color: #{$modal-header-border-color};\n  --#{$prefix}modal-header-border-width: #{$modal-header-border-width};\n  --#{$prefix}modal-title-line-height: #{$modal-title-line-height};\n  --#{$prefix}modal-footer-gap: #{$modal-footer-margin-between};\n  --#{$prefix}modal-footer-bg: #{$modal-footer-bg};\n  --#{$prefix}modal-footer-border-color: #{$modal-footer-border-color};\n  --#{$prefix}modal-footer-border-width: #{$modal-footer-border-width};\n  // scss-docs-end modal-css-vars\n\n  position: fixed;\n  top: 0;\n  left: 0;\n  z-index: var(--#{$prefix}modal-zindex);\n  display: none;\n  width: 100%;\n  height: 100%;\n  overflow-x: hidden;\n  overflow-y: auto;\n  // Prevent Chrome on Windows from adding a focus outline. For details, see\n  // https://github.com/twbs/bootstrap/pull/10951.\n  outline: 0;\n  // We deliberately don't use `-webkit-overflow-scrolling: touch;` due to a\n  // gnarly iOS Safari bug: https://bugs.webkit.org/show_bug.cgi?id=158342\n  // See also https://github.com/twbs/bootstrap/issues/17695\n}\n\n// Shell div to position the modal with bottom padding\n.modal-dialog {\n  position: relative;\n  width: auto;\n  margin: var(--#{$prefix}modal-margin);\n  // allow clicks to pass through for custom click handling to close modal\n  pointer-events: none;\n\n  // When fading in the modal, animate it to slide down\n  .modal.fade & {\n    @include transition($modal-transition);\n    transform: $modal-fade-transform;\n  }\n  .modal.show & {\n    transform: $modal-show-transform;\n  }\n\n  // When trying to close, animate focus to scale\n  .modal.modal-static & {\n    transform: $modal-scale-transform;\n  }\n}\n\n.modal-dialog-scrollable {\n  height: calc(100% - var(--#{$prefix}modal-margin) * 2);\n\n  .modal-content {\n    max-height: 100%;\n    overflow: hidden;\n  }\n\n  .modal-body {\n    overflow-y: auto;\n  }\n}\n\n.modal-dialog-centered {\n  display: flex;\n  align-items: center;\n  min-height: calc(100% - var(--#{$prefix}modal-margin) * 2);\n}\n\n// Actual modal\n.modal-content {\n  position: relative;\n  display: flex;\n  flex-direction: column;\n  width: 100%; // Ensure `.modal-content` extends the full width of the parent `.modal-dialog`\n  // counteract the pointer-events: none; in the .modal-dialog\n  color: var(--#{$prefix}modal-color);\n  pointer-events: auto;\n  background-color: var(--#{$prefix}modal-bg);\n  background-clip: padding-box;\n  border: var(--#{$prefix}modal-border-width) solid var(--#{$prefix}modal-border-color);\n  @include border-radius(var(--#{$prefix}modal-border-radius));\n  @include box-shadow(var(--#{$prefix}modal-box-shadow));\n  // Remove focus outline from opened modal\n  outline: 0;\n}\n\n// Modal background\n.modal-backdrop {\n  // scss-docs-start modal-backdrop-css-vars\n  --#{$prefix}backdrop-zindex: #{$zindex-modal-backdrop};\n  --#{$prefix}backdrop-bg: #{$modal-backdrop-bg};\n  --#{$prefix}backdrop-opacity: #{$modal-backdrop-opacity};\n  // scss-docs-end modal-backdrop-css-vars\n\n  @include overlay-backdrop(var(--#{$prefix}backdrop-zindex), var(--#{$prefix}backdrop-bg), var(--#{$prefix}backdrop-opacity));\n}\n\n// Modal header\n// Top section of the modal w/ title and dismiss\n.modal-header {\n  display: flex;\n  flex-shrink: 0;\n  align-items: center;\n  padding: var(--#{$prefix}modal-header-padding);\n  border-bottom: var(--#{$prefix}modal-header-border-width) solid var(--#{$prefix}modal-header-border-color);\n  @include border-top-radius(var(--#{$prefix}modal-inner-border-radius));\n\n  .btn-close {\n    padding: calc(var(--#{$prefix}modal-header-padding-y) * .5) calc(var(--#{$prefix}modal-header-padding-x) * .5);\n    margin: calc(-.5 * var(--#{$prefix}modal-header-padding-y)) calc(-.5 * var(--#{$prefix}modal-header-padding-x)) calc(-.5 * var(--#{$prefix}modal-header-padding-y)) auto;\n  }\n}\n\n// Title text within header\n.modal-title {\n  margin-bottom: 0;\n  line-height: var(--#{$prefix}modal-title-line-height);\n}\n\n// Modal body\n// Where all modal content resides (sibling of .modal-header and .modal-footer)\n.modal-body {\n  position: relative;\n  // Enable `flex-grow: 1` so that the body take up as much space as possible\n  // when there should be a fixed height on `.modal-dialog`.\n  flex: 1 1 auto;\n  padding: var(--#{$prefix}modal-padding);\n}\n\n// Footer (for actions)\n.modal-footer {\n  display: flex;\n  flex-shrink: 0;\n  flex-wrap: wrap;\n  align-items: center; // vertically center\n  justify-content: flex-end; // Right align buttons with flex property because text-align doesn't work on flex items\n  padding: calc(var(--#{$prefix}modal-padding) - var(--#{$prefix}modal-footer-gap) * .5);\n  background-color: var(--#{$prefix}modal-footer-bg);\n  border-top: var(--#{$prefix}modal-footer-border-width) solid var(--#{$prefix}modal-footer-border-color);\n  @include border-bottom-radius(var(--#{$prefix}modal-inner-border-radius));\n\n  // Place margin between footer elements\n  // This solution is far from ideal because of the universal selector usage,\n  // but is needed to fix https://github.com/twbs/bootstrap/issues/24800\n  > * {\n    margin: calc(var(--#{$prefix}modal-footer-gap) * .5); // Todo in v6: replace with gap on parent class\n  }\n}\n\n// Scale up the modal\n@include media-breakpoint-up(sm) {\n  .modal {\n    --#{$prefix}modal-margin: #{$modal-dialog-margin-y-sm-up};\n    --#{$prefix}modal-box-shadow: #{$modal-content-box-shadow-sm-up};\n  }\n\n  // Automatically set modal's width for larger viewports\n  .modal-dialog {\n    max-width: var(--#{$prefix}modal-width);\n    margin-right: auto;\n    margin-left: auto;\n  }\n\n  .modal-sm {\n    --#{$prefix}modal-width: #{$modal-sm};\n  }\n}\n\n@include media-breakpoint-up(lg) {\n  .modal-lg,\n  .modal-xl {\n    --#{$prefix}modal-width: #{$modal-lg};\n  }\n}\n\n@include media-breakpoint-up(xl) {\n  .modal-xl {\n    --#{$prefix}modal-width: #{$modal-xl};\n  }\n}\n\n// scss-docs-start modal-fullscreen-loop\n@each $breakpoint in map-keys($grid-breakpoints) {\n  $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n  $postfix: if($infix != \"\", $infix + \"-down\", \"\");\n\n  @include media-breakpoint-down($breakpoint) {\n    .modal-fullscreen#{$postfix} {\n      width: 100vw;\n      max-width: none;\n      height: 100%;\n      margin: 0;\n\n      .modal-content {\n        height: 100%;\n        border: 0;\n        @include border-radius(0);\n      }\n\n      .modal-header,\n      .modal-footer {\n        @include border-radius(0);\n      }\n\n      .modal-body {\n        overflow-y: auto;\n      }\n    }\n  }\n}\n// scss-docs-end modal-fullscreen-loop\n","// Shared between modals and offcanvases\n@mixin overlay-backdrop($zindex, $backdrop-bg, $backdrop-opacity) {\n  position: fixed;\n  top: 0;\n  left: 0;\n  z-index: $zindex;\n  width: 100vw;\n  height: 100vh;\n  background-color: $backdrop-bg;\n\n  // Fade for backdrop\n  &.fade { opacity: 0; }\n  &.show { opacity: $backdrop-opacity; }\n}\n","// Base class\n.tooltip {\n  // scss-docs-start tooltip-css-vars\n  --#{$prefix}tooltip-zindex: #{$zindex-tooltip};\n  --#{$prefix}tooltip-max-width: #{$tooltip-max-width};\n  --#{$prefix}tooltip-padding-x: #{$tooltip-padding-x};\n  --#{$prefix}tooltip-padding-y: #{$tooltip-padding-y};\n  --#{$prefix}tooltip-margin: #{$tooltip-margin};\n  @include rfs($tooltip-font-size, --#{$prefix}tooltip-font-size);\n  --#{$prefix}tooltip-color: #{$tooltip-color};\n  --#{$prefix}tooltip-bg: #{$tooltip-bg};\n  --#{$prefix}tooltip-border-radius: #{$tooltip-border-radius};\n  --#{$prefix}tooltip-opacity: #{$tooltip-opacity};\n  --#{$prefix}tooltip-arrow-width: #{$tooltip-arrow-width};\n  --#{$prefix}tooltip-arrow-height: #{$tooltip-arrow-height};\n  // scss-docs-end tooltip-css-vars\n\n  z-index: var(--#{$prefix}tooltip-zindex);\n  display: block;\n  margin: var(--#{$prefix}tooltip-margin);\n  @include deprecate(\"`$tooltip-margin`\", \"v5\", \"v5.x\", true);\n  // Our parent element can be arbitrary since tooltips are by default inserted as a sibling of their target element.\n  // So reset our font and text properties to avoid inheriting weird values.\n  @include reset-text();\n  @include font-size(var(--#{$prefix}tooltip-font-size));\n  // Allow breaking very long words so they don't overflow the tooltip's bounds\n  word-wrap: break-word;\n  opacity: 0;\n\n  &.show { opacity: var(--#{$prefix}tooltip-opacity); }\n\n  .tooltip-arrow {\n    display: block;\n    width: var(--#{$prefix}tooltip-arrow-width);\n    height: var(--#{$prefix}tooltip-arrow-height);\n\n    &::before {\n      position: absolute;\n      content: \"\";\n      border-color: transparent;\n      border-style: solid;\n    }\n  }\n}\n\n.bs-tooltip-top .tooltip-arrow {\n  bottom: calc(-1 * var(--#{$prefix}tooltip-arrow-height)); // stylelint-disable-line function-disallowed-list\n\n  &::before {\n    top: -1px;\n    border-width: var(--#{$prefix}tooltip-arrow-height) calc(var(--#{$prefix}tooltip-arrow-width) * .5) 0; // stylelint-disable-line function-disallowed-list\n    border-top-color: var(--#{$prefix}tooltip-bg);\n  }\n}\n\n/* rtl:begin:ignore */\n.bs-tooltip-end .tooltip-arrow {\n  left: calc(-1 * var(--#{$prefix}tooltip-arrow-height)); // stylelint-disable-line function-disallowed-list\n  width: var(--#{$prefix}tooltip-arrow-height);\n  height: var(--#{$prefix}tooltip-arrow-width);\n\n  &::before {\n    right: -1px;\n    border-width: calc(var(--#{$prefix}tooltip-arrow-width) * .5) var(--#{$prefix}tooltip-arrow-height) calc(var(--#{$prefix}tooltip-arrow-width) * .5) 0; // stylelint-disable-line function-disallowed-list\n    border-right-color: var(--#{$prefix}tooltip-bg);\n  }\n}\n\n/* rtl:end:ignore */\n\n.bs-tooltip-bottom .tooltip-arrow {\n  top: calc(-1 * var(--#{$prefix}tooltip-arrow-height)); // stylelint-disable-line function-disallowed-list\n\n  &::before {\n    bottom: -1px;\n    border-width: 0 calc(var(--#{$prefix}tooltip-arrow-width) * .5) var(--#{$prefix}tooltip-arrow-height); // stylelint-disable-line function-disallowed-list\n    border-bottom-color: var(--#{$prefix}tooltip-bg);\n  }\n}\n\n/* rtl:begin:ignore */\n.bs-tooltip-start .tooltip-arrow {\n  right: calc(-1 * var(--#{$prefix}tooltip-arrow-height)); // stylelint-disable-line function-disallowed-list\n  width: var(--#{$prefix}tooltip-arrow-height);\n  height: var(--#{$prefix}tooltip-arrow-width);\n\n  &::before {\n    left: -1px;\n    border-width: calc(var(--#{$prefix}tooltip-arrow-width) * .5) 0 calc(var(--#{$prefix}tooltip-arrow-width) * .5) var(--#{$prefix}tooltip-arrow-height); // stylelint-disable-line function-disallowed-list\n    border-left-color: var(--#{$prefix}tooltip-bg);\n  }\n}\n\n/* rtl:end:ignore */\n\n.bs-tooltip-auto {\n  &[data-popper-placement^=\"top\"] {\n    @extend .bs-tooltip-top;\n  }\n  &[data-popper-placement^=\"right\"] {\n    @extend .bs-tooltip-end;\n  }\n  &[data-popper-placement^=\"bottom\"] {\n    @extend .bs-tooltip-bottom;\n  }\n  &[data-popper-placement^=\"left\"] {\n    @extend .bs-tooltip-start;\n  }\n}\n\n// Wrapper for the tooltip content\n.tooltip-inner {\n  max-width: var(--#{$prefix}tooltip-max-width);\n  padding: var(--#{$prefix}tooltip-padding-y) var(--#{$prefix}tooltip-padding-x);\n  color: var(--#{$prefix}tooltip-color);\n  text-align: center;\n  background-color: var(--#{$prefix}tooltip-bg);\n  @include border-radius(var(--#{$prefix}tooltip-border-radius));\n}\n","@mixin reset-text {\n  font-family: $font-family-base;\n  // We deliberately do NOT reset font-size or overflow-wrap / word-wrap.\n  font-style: normal;\n  font-weight: $font-weight-normal;\n  line-height: $line-height-base;\n  text-align: left; // Fallback for where `start` is not supported\n  text-align: start;\n  text-decoration: none;\n  text-shadow: none;\n  text-transform: none;\n  letter-spacing: normal;\n  word-break: normal;\n  white-space: normal;\n  word-spacing: normal;\n  line-break: auto;\n}\n",".popover {\n  // scss-docs-start popover-css-vars\n  --#{$prefix}popover-zindex: #{$zindex-popover};\n  --#{$prefix}popover-max-width: #{$popover-max-width};\n  @include rfs($popover-font-size, --#{$prefix}popover-font-size);\n  --#{$prefix}popover-bg: #{$popover-bg};\n  --#{$prefix}popover-border-width: #{$popover-border-width};\n  --#{$prefix}popover-border-color: #{$popover-border-color};\n  --#{$prefix}popover-border-radius: #{$popover-border-radius};\n  --#{$prefix}popover-inner-border-radius: #{$popover-inner-border-radius};\n  --#{$prefix}popover-box-shadow: #{$popover-box-shadow};\n  --#{$prefix}popover-header-padding-x: #{$popover-header-padding-x};\n  --#{$prefix}popover-header-padding-y: #{$popover-header-padding-y};\n  @include rfs($popover-header-font-size, --#{$prefix}popover-header-font-size);\n  --#{$prefix}popover-header-color: #{$popover-header-color};\n  --#{$prefix}popover-header-bg: #{$popover-header-bg};\n  --#{$prefix}popover-body-padding-x: #{$popover-body-padding-x};\n  --#{$prefix}popover-body-padding-y: #{$popover-body-padding-y};\n  --#{$prefix}popover-body-color: #{$popover-body-color};\n  --#{$prefix}popover-arrow-width: #{$popover-arrow-width};\n  --#{$prefix}popover-arrow-height: #{$popover-arrow-height};\n  --#{$prefix}popover-arrow-border: var(--#{$prefix}popover-border-color);\n  // scss-docs-end popover-css-vars\n\n  z-index: var(--#{$prefix}popover-zindex);\n  display: block;\n  max-width: var(--#{$prefix}popover-max-width);\n  // Our parent element can be arbitrary since tooltips are by default inserted as a sibling of their target element.\n  // So reset our font and text properties to avoid inheriting weird values.\n  @include reset-text();\n  @include font-size(var(--#{$prefix}popover-font-size));\n  // Allow breaking very long words so they don't overflow the popover's bounds\n  word-wrap: break-word;\n  background-color: var(--#{$prefix}popover-bg);\n  background-clip: padding-box;\n  border: var(--#{$prefix}popover-border-width) solid var(--#{$prefix}popover-border-color);\n  @include border-radius(var(--#{$prefix}popover-border-radius));\n  @include box-shadow(var(--#{$prefix}popover-box-shadow));\n\n  .popover-arrow {\n    display: block;\n    width: var(--#{$prefix}popover-arrow-width);\n    height: var(--#{$prefix}popover-arrow-height);\n\n    &::before,\n    &::after {\n      position: absolute;\n      display: block;\n      content: \"\";\n      border-color: transparent;\n      border-style: solid;\n      border-width: 0;\n    }\n  }\n}\n\n.bs-popover-top {\n  > .popover-arrow {\n    bottom: calc(-1 * (var(--#{$prefix}popover-arrow-height)) - var(--#{$prefix}popover-border-width)); // stylelint-disable-line function-disallowed-list\n\n    &::before,\n    &::after {\n      border-width: var(--#{$prefix}popover-arrow-height) calc(var(--#{$prefix}popover-arrow-width) * .5) 0; // stylelint-disable-line function-disallowed-list\n    }\n\n    &::before {\n      bottom: 0;\n      border-top-color: var(--#{$prefix}popover-arrow-border);\n    }\n\n    &::after {\n      bottom: var(--#{$prefix}popover-border-width);\n      border-top-color: var(--#{$prefix}popover-bg);\n    }\n  }\n}\n\n/* rtl:begin:ignore */\n.bs-popover-end {\n  > .popover-arrow {\n    left: calc(-1 * (var(--#{$prefix}popover-arrow-height)) - var(--#{$prefix}popover-border-width)); // stylelint-disable-line function-disallowed-list\n    width: var(--#{$prefix}popover-arrow-height);\n    height: var(--#{$prefix}popover-arrow-width);\n\n    &::before,\n    &::after {\n      border-width: calc(var(--#{$prefix}popover-arrow-width) * .5) var(--#{$prefix}popover-arrow-height) calc(var(--#{$prefix}popover-arrow-width) * .5) 0; // stylelint-disable-line function-disallowed-list\n    }\n\n    &::before {\n      left: 0;\n      border-right-color: var(--#{$prefix}popover-arrow-border);\n    }\n\n    &::after {\n      left: var(--#{$prefix}popover-border-width);\n      border-right-color: var(--#{$prefix}popover-bg);\n    }\n  }\n}\n\n/* rtl:end:ignore */\n\n.bs-popover-bottom {\n  > .popover-arrow {\n    top: calc(-1 * (var(--#{$prefix}popover-arrow-height)) - var(--#{$prefix}popover-border-width)); // stylelint-disable-line function-disallowed-list\n\n    &::before,\n    &::after {\n      border-width: 0 calc(var(--#{$prefix}popover-arrow-width) * .5) var(--#{$prefix}popover-arrow-height); // stylelint-disable-line function-disallowed-list\n    }\n\n    &::before {\n      top: 0;\n      border-bottom-color: var(--#{$prefix}popover-arrow-border);\n    }\n\n    &::after {\n      top: var(--#{$prefix}popover-border-width);\n      border-bottom-color: var(--#{$prefix}popover-bg);\n    }\n  }\n\n  // This will remove the popover-header's border just below the arrow\n  .popover-header::before {\n    position: absolute;\n    top: 0;\n    left: 50%;\n    display: block;\n    width: var(--#{$prefix}popover-arrow-width);\n    margin-left: calc(-.5 * var(--#{$prefix}popover-arrow-width)); // stylelint-disable-line function-disallowed-list\n    content: \"\";\n    border-bottom: var(--#{$prefix}popover-border-width) solid var(--#{$prefix}popover-header-bg);\n  }\n}\n\n/* rtl:begin:ignore */\n.bs-popover-start {\n  > .popover-arrow {\n    right: calc(-1 * (var(--#{$prefix}popover-arrow-height)) - var(--#{$prefix}popover-border-width)); // stylelint-disable-line function-disallowed-list\n    width: var(--#{$prefix}popover-arrow-height);\n    height: var(--#{$prefix}popover-arrow-width);\n\n    &::before,\n    &::after {\n      border-width: calc(var(--#{$prefix}popover-arrow-width) * .5) 0 calc(var(--#{$prefix}popover-arrow-width) * .5) var(--#{$prefix}popover-arrow-height); // stylelint-disable-line function-disallowed-list\n    }\n\n    &::before {\n      right: 0;\n      border-left-color: var(--#{$prefix}popover-arrow-border);\n    }\n\n    &::after {\n      right: var(--#{$prefix}popover-border-width);\n      border-left-color: var(--#{$prefix}popover-bg);\n    }\n  }\n}\n\n/* rtl:end:ignore */\n\n.bs-popover-auto {\n  &[data-popper-placement^=\"top\"] {\n    @extend .bs-popover-top;\n  }\n  &[data-popper-placement^=\"right\"] {\n    @extend .bs-popover-end;\n  }\n  &[data-popper-placement^=\"bottom\"] {\n    @extend .bs-popover-bottom;\n  }\n  &[data-popper-placement^=\"left\"] {\n    @extend .bs-popover-start;\n  }\n}\n\n// Offset the popover to account for the popover arrow\n.popover-header {\n  padding: var(--#{$prefix}popover-header-padding-y) var(--#{$prefix}popover-header-padding-x);\n  margin-bottom: 0; // Reset the default from Reboot\n  @include font-size(var(--#{$prefix}popover-header-font-size));\n  color: var(--#{$prefix}popover-header-color);\n  background-color: var(--#{$prefix}popover-header-bg);\n  border-bottom: var(--#{$prefix}popover-border-width) solid var(--#{$prefix}popover-border-color);\n  @include border-top-radius(var(--#{$prefix}popover-inner-border-radius));\n\n  &:empty {\n    display: none;\n  }\n}\n\n.popover-body {\n  padding: var(--#{$prefix}popover-body-padding-y) var(--#{$prefix}popover-body-padding-x);\n  color: var(--#{$prefix}popover-body-color);\n}\n","// Notes on the classes:\n//\n// 1. .carousel.pointer-event should ideally be pan-y (to allow for users to scroll vertically)\n//    even when their scroll action started on a carousel, but for compatibility (with Firefox)\n//    we're preventing all actions instead\n// 2. The .carousel-item-start and .carousel-item-end is used to indicate where\n//    the active slide is heading.\n// 3. .active.carousel-item is the current slide.\n// 4. .active.carousel-item-start and .active.carousel-item-end is the current\n//    slide in its in-transition state. Only one of these occurs at a time.\n// 5. .carousel-item-next.carousel-item-start and .carousel-item-prev.carousel-item-end\n//    is the upcoming slide in transition.\n\n.carousel {\n  position: relative;\n}\n\n.carousel.pointer-event {\n  touch-action: pan-y;\n}\n\n.carousel-inner {\n  position: relative;\n  width: 100%;\n  overflow: hidden;\n  @include clearfix();\n}\n\n.carousel-item {\n  position: relative;\n  display: none;\n  float: left;\n  width: 100%;\n  margin-right: -100%;\n  backface-visibility: hidden;\n  @include transition($carousel-transition);\n}\n\n.carousel-item.active,\n.carousel-item-next,\n.carousel-item-prev {\n  display: block;\n}\n\n.carousel-item-next:not(.carousel-item-start),\n.active.carousel-item-end {\n  transform: translateX(100%);\n}\n\n.carousel-item-prev:not(.carousel-item-end),\n.active.carousel-item-start {\n  transform: translateX(-100%);\n}\n\n\n//\n// Alternate transitions\n//\n\n.carousel-fade {\n  .carousel-item {\n    opacity: 0;\n    transition-property: opacity;\n    transform: none;\n  }\n\n  .carousel-item.active,\n  .carousel-item-next.carousel-item-start,\n  .carousel-item-prev.carousel-item-end {\n    z-index: 1;\n    opacity: 1;\n  }\n\n  .active.carousel-item-start,\n  .active.carousel-item-end {\n    z-index: 0;\n    opacity: 0;\n    @include transition(opacity 0s $carousel-transition-duration);\n  }\n}\n\n\n//\n// Left/right controls for nav\n//\n\n.carousel-control-prev,\n.carousel-control-next {\n  position: absolute;\n  top: 0;\n  bottom: 0;\n  z-index: 1;\n  // Use flex for alignment (1-3)\n  display: flex; // 1. allow flex styles\n  align-items: center; // 2. vertically center contents\n  justify-content: center; // 3. horizontally center contents\n  width: $carousel-control-width;\n  padding: 0;\n  color: $carousel-control-color;\n  text-align: center;\n  background: none;\n  border: 0;\n  opacity: $carousel-control-opacity;\n  @include transition($carousel-control-transition);\n\n  // Hover/focus state\n  &:hover,\n  &:focus {\n    color: $carousel-control-color;\n    text-decoration: none;\n    outline: 0;\n    opacity: $carousel-control-hover-opacity;\n  }\n}\n.carousel-control-prev {\n  left: 0;\n  background-image: if($enable-gradients, linear-gradient(90deg, rgba($black, .25), rgba($black, .001)), null);\n}\n.carousel-control-next {\n  right: 0;\n  background-image: if($enable-gradients, linear-gradient(270deg, rgba($black, .25), rgba($black, .001)), null);\n}\n\n// Icons for within\n.carousel-control-prev-icon,\n.carousel-control-next-icon {\n  display: inline-block;\n  width: $carousel-control-icon-width;\n  height: $carousel-control-icon-width;\n  background-repeat: no-repeat;\n  background-position: 50%;\n  background-size: 100% 100%;\n}\n\n.carousel-control-prev-icon {\n  background-image: escape-svg($carousel-control-prev-icon-bg) #{\"/*rtl:\" + escape-svg($carousel-control-next-icon-bg) + \"*/\"};\n}\n.carousel-control-next-icon {\n  background-image: escape-svg($carousel-control-next-icon-bg) #{\"/*rtl:\" + escape-svg($carousel-control-prev-icon-bg) + \"*/\"};\n}\n\n// Optional indicator pips/controls\n//\n// Add a container (such as a list) with the following class and add an item (ideally a focusable control,\n// like a button) with data-bs-target for each slide your carousel holds.\n\n.carousel-indicators {\n  position: absolute;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: 2;\n  display: flex;\n  justify-content: center;\n  padding: 0;\n  // Use the .carousel-control's width as margin so we don't overlay those\n  margin-right: $carousel-control-width;\n  margin-bottom: 1rem;\n  margin-left: $carousel-control-width;\n\n  [data-bs-target] {\n    box-sizing: content-box;\n    flex: 0 1 auto;\n    width: $carousel-indicator-width;\n    height: $carousel-indicator-height;\n    padding: 0;\n    margin-right: $carousel-indicator-spacer;\n    margin-left: $carousel-indicator-spacer;\n    text-indent: -999px;\n    cursor: pointer;\n    background-color: $carousel-indicator-active-bg;\n    background-clip: padding-box;\n    border: 0;\n    // Use transparent borders to increase the hit area by 10px on top and bottom.\n    border-top: $carousel-indicator-hit-area-height solid transparent;\n    border-bottom: $carousel-indicator-hit-area-height solid transparent;\n    opacity: $carousel-indicator-opacity;\n    @include transition($carousel-indicator-transition);\n  }\n\n  .active {\n    opacity: $carousel-indicator-active-opacity;\n  }\n}\n\n\n// Optional captions\n//\n//\n\n.carousel-caption {\n  position: absolute;\n  right: (100% - $carousel-caption-width) * .5;\n  bottom: $carousel-caption-spacer;\n  left: (100% - $carousel-caption-width) * .5;\n  padding-top: $carousel-caption-padding-y;\n  padding-bottom: $carousel-caption-padding-y;\n  color: $carousel-caption-color;\n  text-align: center;\n}\n\n// Dark mode carousel\n\n@mixin carousel-dark() {\n  .carousel-control-prev-icon,\n  .carousel-control-next-icon {\n    filter: $carousel-dark-control-icon-filter;\n  }\n\n  .carousel-indicators [data-bs-target] {\n    background-color: $carousel-dark-indicator-active-bg;\n  }\n\n  .carousel-caption {\n    color: $carousel-dark-caption-color;\n  }\n}\n\n.carousel-dark {\n  @include carousel-dark();\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    @if $color-mode-type == \"media-query\" {\n      .carousel {\n        @include carousel-dark();\n      }\n    } @else {\n      .carousel,\n      &.carousel {\n        @include carousel-dark();\n      }\n    }\n  }\n}\n","// scss-docs-start clearfix\n@mixin clearfix() {\n  &::after {\n    display: block;\n    clear: both;\n    content: \"\";\n  }\n}\n// scss-docs-end clearfix\n","//\n// Rotating border\n//\n\n.spinner-grow,\n.spinner-border {\n  display: inline-block;\n  width: var(--#{$prefix}spinner-width);\n  height: var(--#{$prefix}spinner-height);\n  vertical-align: var(--#{$prefix}spinner-vertical-align);\n  // stylelint-disable-next-line property-disallowed-list\n  border-radius: 50%;\n  animation: var(--#{$prefix}spinner-animation-speed) linear infinite var(--#{$prefix}spinner-animation-name);\n}\n\n// scss-docs-start spinner-border-keyframes\n@keyframes spinner-border {\n  to { transform: rotate(360deg) #{\"/* rtl:ignore */\"}; }\n}\n// scss-docs-end spinner-border-keyframes\n\n.spinner-border {\n  // scss-docs-start spinner-border-css-vars\n  --#{$prefix}spinner-width: #{$spinner-width};\n  --#{$prefix}spinner-height: #{$spinner-height};\n  --#{$prefix}spinner-vertical-align: #{$spinner-vertical-align};\n  --#{$prefix}spinner-border-width: #{$spinner-border-width};\n  --#{$prefix}spinner-animation-speed: #{$spinner-animation-speed};\n  --#{$prefix}spinner-animation-name: spinner-border;\n  // scss-docs-end spinner-border-css-vars\n\n  border: var(--#{$prefix}spinner-border-width) solid currentcolor;\n  border-right-color: transparent;\n}\n\n.spinner-border-sm {\n  // scss-docs-start spinner-border-sm-css-vars\n  --#{$prefix}spinner-width: #{$spinner-width-sm};\n  --#{$prefix}spinner-height: #{$spinner-height-sm};\n  --#{$prefix}spinner-border-width: #{$spinner-border-width-sm};\n  // scss-docs-end spinner-border-sm-css-vars\n}\n\n//\n// Growing circle\n//\n\n// scss-docs-start spinner-grow-keyframes\n@keyframes spinner-grow {\n  0% {\n    transform: scale(0);\n  }\n  50% {\n    opacity: 1;\n    transform: none;\n  }\n}\n// scss-docs-end spinner-grow-keyframes\n\n.spinner-grow {\n  // scss-docs-start spinner-grow-css-vars\n  --#{$prefix}spinner-width: #{$spinner-width};\n  --#{$prefix}spinner-height: #{$spinner-height};\n  --#{$prefix}spinner-vertical-align: #{$spinner-vertical-align};\n  --#{$prefix}spinner-animation-speed: #{$spinner-animation-speed};\n  --#{$prefix}spinner-animation-name: spinner-grow;\n  // scss-docs-end spinner-grow-css-vars\n\n  background-color: currentcolor;\n  opacity: 0;\n}\n\n.spinner-grow-sm {\n  --#{$prefix}spinner-width: #{$spinner-width-sm};\n  --#{$prefix}spinner-height: #{$spinner-height-sm};\n}\n\n@if $enable-reduced-motion {\n  @media (prefers-reduced-motion: reduce) {\n    .spinner-border,\n    .spinner-grow {\n      --#{$prefix}spinner-animation-speed: #{$spinner-animation-speed * 2};\n    }\n  }\n}\n","// stylelint-disable function-disallowed-list\n\n%offcanvas-css-vars {\n  // scss-docs-start offcanvas-css-vars\n  --#{$prefix}offcanvas-zindex: #{$zindex-offcanvas};\n  --#{$prefix}offcanvas-width: #{$offcanvas-horizontal-width};\n  --#{$prefix}offcanvas-height: #{$offcanvas-vertical-height};\n  --#{$prefix}offcanvas-padding-x: #{$offcanvas-padding-x};\n  --#{$prefix}offcanvas-padding-y: #{$offcanvas-padding-y};\n  --#{$prefix}offcanvas-color: #{$offcanvas-color};\n  --#{$prefix}offcanvas-bg: #{$offcanvas-bg-color};\n  --#{$prefix}offcanvas-border-width: #{$offcanvas-border-width};\n  --#{$prefix}offcanvas-border-color: #{$offcanvas-border-color};\n  --#{$prefix}offcanvas-box-shadow: #{$offcanvas-box-shadow};\n  --#{$prefix}offcanvas-transition: #{transform $offcanvas-transition-duration ease-in-out};\n  --#{$prefix}offcanvas-title-line-height: #{$offcanvas-title-line-height};\n  // scss-docs-end offcanvas-css-vars\n}\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  $next: breakpoint-next($breakpoint, $grid-breakpoints);\n  $infix: breakpoint-infix($next, $grid-breakpoints);\n\n  .offcanvas#{$infix} {\n    @extend %offcanvas-css-vars;\n  }\n}\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  $next: breakpoint-next($breakpoint, $grid-breakpoints);\n  $infix: breakpoint-infix($next, $grid-breakpoints);\n\n  .offcanvas#{$infix} {\n    @include media-breakpoint-down($next) {\n      position: fixed;\n      bottom: 0;\n      z-index: var(--#{$prefix}offcanvas-zindex);\n      display: flex;\n      flex-direction: column;\n      max-width: 100%;\n      color: var(--#{$prefix}offcanvas-color);\n      visibility: hidden;\n      background-color: var(--#{$prefix}offcanvas-bg);\n      background-clip: padding-box;\n      outline: 0;\n      @include box-shadow(var(--#{$prefix}offcanvas-box-shadow));\n      @include transition(var(--#{$prefix}offcanvas-transition));\n\n      &.offcanvas-start {\n        top: 0;\n        left: 0;\n        width: var(--#{$prefix}offcanvas-width);\n        border-right: var(--#{$prefix}offcanvas-border-width) solid var(--#{$prefix}offcanvas-border-color);\n        transform: translateX(-100%);\n      }\n\n      &.offcanvas-end {\n        top: 0;\n        right: 0;\n        width: var(--#{$prefix}offcanvas-width);\n        border-left: var(--#{$prefix}offcanvas-border-width) solid var(--#{$prefix}offcanvas-border-color);\n        transform: translateX(100%);\n      }\n\n      &.offcanvas-top {\n        top: 0;\n        right: 0;\n        left: 0;\n        height: var(--#{$prefix}offcanvas-height);\n        max-height: 100%;\n        border-bottom: var(--#{$prefix}offcanvas-border-width) solid var(--#{$prefix}offcanvas-border-color);\n        transform: translateY(-100%);\n      }\n\n      &.offcanvas-bottom {\n        right: 0;\n        left: 0;\n        height: var(--#{$prefix}offcanvas-height);\n        max-height: 100%;\n        border-top: var(--#{$prefix}offcanvas-border-width) solid var(--#{$prefix}offcanvas-border-color);\n        transform: translateY(100%);\n      }\n\n      &.showing,\n      &.show:not(.hiding) {\n        transform: none;\n      }\n\n      &.showing,\n      &.hiding,\n      &.show {\n        visibility: visible;\n      }\n    }\n\n    @if not ($infix == \"\") {\n      @include media-breakpoint-up($next) {\n        --#{$prefix}offcanvas-height: auto;\n        --#{$prefix}offcanvas-border-width: 0;\n        background-color: transparent !important; // stylelint-disable-line declaration-no-important\n\n        .offcanvas-header {\n          display: none;\n        }\n\n        .offcanvas-body {\n          display: flex;\n          flex-grow: 0;\n          padding: 0;\n          overflow-y: visible;\n          // Reset `background-color` in case `.bg-*` classes are used in offcanvas\n          background-color: transparent !important; // stylelint-disable-line declaration-no-important\n        }\n      }\n    }\n  }\n}\n\n.offcanvas-backdrop {\n  @include overlay-backdrop($zindex-offcanvas-backdrop, $offcanvas-backdrop-bg, $offcanvas-backdrop-opacity);\n}\n\n.offcanvas-header {\n  display: flex;\n  align-items: center;\n  padding: var(--#{$prefix}offcanvas-padding-y) var(--#{$prefix}offcanvas-padding-x);\n\n  .btn-close {\n    padding: calc(var(--#{$prefix}offcanvas-padding-y) * .5) calc(var(--#{$prefix}offcanvas-padding-x) * .5);\n    margin: calc(-.5 * var(--#{$prefix}offcanvas-padding-y)) calc(-.5 * var(--#{$prefix}offcanvas-padding-x)) calc(-.5 * var(--#{$prefix}offcanvas-padding-y)) auto;\n  }\n}\n\n.offcanvas-title {\n  margin-bottom: 0;\n  line-height: var(--#{$prefix}offcanvas-title-line-height);\n}\n\n.offcanvas-body {\n  flex-grow: 1;\n  padding: var(--#{$prefix}offcanvas-padding-y) var(--#{$prefix}offcanvas-padding-x);\n  overflow-y: auto;\n}\n",".placeholder {\n  display: inline-block;\n  min-height: 1em;\n  vertical-align: middle;\n  cursor: wait;\n  background-color: currentcolor;\n  opacity: $placeholder-opacity-max;\n\n  &.btn::before {\n    display: inline-block;\n    content: \"\";\n  }\n}\n\n// Sizing\n.placeholder-xs {\n  min-height: .6em;\n}\n\n.placeholder-sm {\n  min-height: .8em;\n}\n\n.placeholder-lg {\n  min-height: 1.2em;\n}\n\n// Animation\n.placeholder-glow {\n  .placeholder {\n    animation: placeholder-glow 2s ease-in-out infinite;\n  }\n}\n\n@keyframes placeholder-glow {\n  50% {\n    opacity: $placeholder-opacity-min;\n  }\n}\n\n.placeholder-wave {\n  mask-image: linear-gradient(130deg, $black 55%, rgba(0, 0, 0, (1 - $placeholder-opacity-min)) 75%, $black 95%);\n  mask-size: 200% 100%;\n  animation: placeholder-wave 2s linear infinite;\n}\n\n@keyframes placeholder-wave {\n  100% {\n    mask-position: -200% 0%;\n  }\n}\n","// All-caps `RGBA()` function used because of this Sass bug: https://github.com/sass/node-sass/issues/2251\n@each $color, $value in $theme-colors {\n  .text-bg-#{$color} {\n    color: color-contrast($value) if($enable-important-utilities, !important, null);\n    background-color: RGBA(var(--#{$prefix}#{$color}-rgb), var(--#{$prefix}bg-opacity, 1)) if($enable-important-utilities, !important, null);\n  }\n}\n","// All-caps `RGBA()` function used because of this Sass bug: https://github.com/sass/node-sass/issues/2251\n@each $color, $value in $theme-colors {\n  .link-#{$color} {\n    color: RGBA(var(--#{$prefix}#{$color}-rgb), var(--#{$prefix}link-opacity, 1)) if($enable-important-utilities, !important, null);\n    text-decoration-color: RGBA(var(--#{$prefix}#{$color}-rgb), var(--#{$prefix}link-underline-opacity, 1)) if($enable-important-utilities, !important, null);\n\n    @if $link-shade-percentage != 0 {\n      &:hover,\n      &:focus {\n        $hover-color: if(color-contrast($value) == $color-contrast-light, shade-color($value, $link-shade-percentage), tint-color($value, $link-shade-percentage));\n        color: RGBA(#{to-rgb($hover-color)}, var(--#{$prefix}link-opacity, 1)) if($enable-important-utilities, !important, null);\n        text-decoration-color: RGBA(to-rgb($hover-color), var(--#{$prefix}link-underline-opacity, 1)) if($enable-important-utilities, !important, null);\n      }\n    }\n  }\n}\n\n// One-off special link helper as a bridge until v6\n.link-body-emphasis {\n  color: RGBA(var(--#{$prefix}emphasis-color-rgb), var(--#{$prefix}link-opacity, 1)) if($enable-important-utilities, !important, null);\n  text-decoration-color: RGBA(var(--#{$prefix}emphasis-color-rgb), var(--#{$prefix}link-underline-opacity, 1)) if($enable-important-utilities, !important, null);\n\n  @if $link-shade-percentage != 0 {\n    &:hover,\n    &:focus {\n      color: RGBA(var(--#{$prefix}emphasis-color-rgb), var(--#{$prefix}link-opacity, .75)) if($enable-important-utilities, !important, null);\n      text-decoration-color: RGBA(var(--#{$prefix}emphasis-color-rgb), var(--#{$prefix}link-underline-opacity, .75)) if($enable-important-utilities, !important, null);\n    }\n  }\n}\n",".focus-ring:focus {\n  outline: 0;\n  // By default, there is no `--bs-focus-ring-x`, `--bs-focus-ring-y`, or `--bs-focus-ring-blur`, but we provide CSS variables with fallbacks to initial `0` values\n  box-shadow: var(--#{$prefix}focus-ring-x, 0) var(--#{$prefix}focus-ring-y, 0) var(--#{$prefix}focus-ring-blur, 0) var(--#{$prefix}focus-ring-width) var(--#{$prefix}focus-ring-color);\n}\n",".icon-link {\n  display: inline-flex;\n  gap: $icon-link-gap;\n  align-items: center;\n  text-decoration-color: rgba(var(--#{$prefix}link-color-rgb), var(--#{$prefix}link-opacity, .5));\n  text-underline-offset: $icon-link-underline-offset;\n  backface-visibility: hidden;\n\n  > .bi {\n    flex-shrink: 0;\n    width: $icon-link-icon-size;\n    height: $icon-link-icon-size;\n    fill: currentcolor;\n    @include transition($icon-link-icon-transition);\n  }\n}\n\n.icon-link-hover {\n  &:hover,\n  &:focus-visible {\n    > .bi {\n      transform: var(--#{$prefix}icon-link-transform, $icon-link-icon-transform);\n    }\n  }\n}\n","// Credit: Nicolas Gallagher and SUIT CSS.\n\n.ratio {\n  position: relative;\n  width: 100%;\n\n  &::before {\n    display: block;\n    padding-top: var(--#{$prefix}aspect-ratio);\n    content: \"\";\n  }\n\n  > * {\n    position: absolute;\n    top: 0;\n    left: 0;\n    width: 100%;\n    height: 100%;\n  }\n}\n\n@each $key, $ratio in $aspect-ratios {\n  .ratio-#{$key} {\n    --#{$prefix}aspect-ratio: #{$ratio};\n  }\n}\n","// Shorthand\n\n.fixed-top {\n  position: fixed;\n  top: 0;\n  right: 0;\n  left: 0;\n  z-index: $zindex-fixed;\n}\n\n.fixed-bottom {\n  position: fixed;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: $zindex-fixed;\n}\n\n// Responsive sticky top and bottom\n@each $breakpoint in map-keys($grid-breakpoints) {\n  @include media-breakpoint-up($breakpoint) {\n    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    .sticky#{$infix}-top {\n      position: sticky;\n      top: 0;\n      z-index: $zindex-sticky;\n    }\n\n    .sticky#{$infix}-bottom {\n      position: sticky;\n      bottom: 0;\n      z-index: $zindex-sticky;\n    }\n  }\n}\n","// scss-docs-start stacks\n.hstack {\n  display: flex;\n  flex-direction: row;\n  align-items: center;\n  align-self: stretch;\n}\n\n.vstack {\n  display: flex;\n  flex: 1 1 auto;\n  flex-direction: column;\n  align-self: stretch;\n}\n// scss-docs-end stacks\n","//\n// Visually hidden\n//\n\n.visually-hidden,\n.visually-hidden-focusable:not(:focus):not(:focus-within) {\n  @include visually-hidden();\n}\n","// stylelint-disable declaration-no-important\n\n// Hide content visually while keeping it accessible to assistive technologies\n//\n// See: https://www.a11yproject.com/posts/2013-01-11-how-to-hide-content/\n// See: https://kittygiraudel.com/2016/10/13/css-hide-and-seek/\n\n@mixin visually-hidden() {\n  width: 1px !important;\n  height: 1px !important;\n  padding: 0 !important;\n  margin: -1px !important; // Fix for https://github.com/twbs/bootstrap/issues/25686\n  overflow: hidden !important;\n  clip: rect(0, 0, 0, 0) !important;\n  white-space: nowrap !important;\n  border: 0 !important;\n\n  // Fix for positioned table caption that could become anonymous cells\n  &:not(caption) {\n    position: absolute !important;\n  }\n}\n\n// Use to only display content when it's focused, or one of its child elements is focused\n// (i.e. when focus is within the element/container that the class was applied to)\n//\n// Useful for \"Skip to main content\" links; see https://www.w3.org/TR/2013/NOTE-WCAG20-TECHS-20130905/G1\n\n@mixin visually-hidden-focusable() {\n  &:not(:focus):not(:focus-within) {\n    @include visually-hidden();\n  }\n}\n","//\n// Stretched link\n//\n\n.stretched-link {\n  &::#{$stretched-link-pseudo-element} {\n    position: absolute;\n    top: 0;\n    right: 0;\n    bottom: 0;\n    left: 0;\n    z-index: $stretched-link-z-index;\n    content: \"\";\n  }\n}\n","//\n// Text truncation\n//\n\n.text-truncate {\n  @include text-truncate();\n}\n","// Text truncate\n// Requires inline-block or block for proper styling\n\n@mixin text-truncate() {\n  overflow: hidden;\n  text-overflow: ellipsis;\n  white-space: nowrap;\n}\n",".vr {\n  display: inline-block;\n  align-self: stretch;\n  width: $vr-border-width;\n  min-height: 1em;\n  background-color: currentcolor;\n  opacity: $hr-opacity;\n}\n","// Utility generator\n// Used to generate utilities & print utilities\n@mixin generate-utility($utility, $infix: \"\", $is-rfs-media-query: false) {\n  $values: map-get($utility, values);\n\n  // If the values are a list or string, convert it into a map\n  @if type-of($values) == \"string\" or type-of(nth($values, 1)) != \"list\" {\n    $values: zip($values, $values);\n  }\n\n  @each $key, $value in $values {\n    $properties: map-get($utility, property);\n\n    // Multiple properties are possible, for example with vertical or horizontal margins or paddings\n    @if type-of($properties) == \"string\" {\n      $properties: append((), $properties);\n    }\n\n    // Use custom class if present\n    $property-class: if(map-has-key($utility, class), map-get($utility, class), nth($properties, 1));\n    $property-class: if($property-class == null, \"\", $property-class);\n\n    // Use custom CSS variable name if present, otherwise default to `class`\n    $css-variable-name: if(map-has-key($utility, css-variable-name), map-get($utility, css-variable-name), map-get($utility, class));\n\n    // State params to generate pseudo-classes\n    $state: if(map-has-key($utility, state), map-get($utility, state), ());\n\n    $infix: if($property-class == \"\" and str-slice($infix, 1, 1) == \"-\", str-slice($infix, 2), $infix);\n\n    // Don't prefix if value key is null (e.g. with shadow class)\n    $property-class-modifier: if($key, if($property-class == \"\" and $infix == \"\", \"\", \"-\") + $key, \"\");\n\n    @if map-get($utility, rfs) {\n      // Inside the media query\n      @if $is-rfs-media-query {\n        $val: rfs-value($value);\n\n        // Do not render anything if fluid and non fluid values are the same\n        $value: if($val == rfs-fluid-value($value), null, $val);\n      }\n      @else {\n        $value: rfs-fluid-value($value);\n      }\n    }\n\n    $is-css-var: map-get($utility, css-var);\n    $is-local-vars: map-get($utility, local-vars);\n    $is-rtl: map-get($utility, rtl);\n\n    @if $value != null {\n      @if $is-rtl == false {\n        /* rtl:begin:remove */\n      }\n\n      @if $is-css-var {\n        .#{$property-class + $infix + $property-class-modifier} {\n          --#{$prefix}#{$css-variable-name}: #{$value};\n        }\n\n        @each $pseudo in $state {\n          .#{$property-class + $infix + $property-class-modifier}-#{$pseudo}:#{$pseudo} {\n            --#{$prefix}#{$css-variable-name}: #{$value};\n          }\n        }\n      } @else {\n        .#{$property-class + $infix + $property-class-modifier} {\n          @each $property in $properties {\n            @if $is-local-vars {\n              @each $local-var, $variable in $is-local-vars {\n                --#{$prefix}#{$local-var}: #{$variable};\n              }\n            }\n            #{$property}: $value if($enable-important-utilities, !important, null);\n          }\n        }\n\n        @each $pseudo in $state {\n          .#{$property-class + $infix + $property-class-modifier}-#{$pseudo}:#{$pseudo} {\n            @each $property in $properties {\n              @if $is-local-vars {\n                @each $local-var, $variable in $is-local-vars {\n                  --#{$prefix}#{$local-var}: #{$variable};\n                }\n              }\n              #{$property}: $value if($enable-important-utilities, !important, null);\n            }\n          }\n        }\n      }\n\n      @if $is-rtl == false {\n        /* rtl:end:remove */\n      }\n    }\n  }\n}\n","// Loop over each breakpoint\n@each $breakpoint in map-keys($grid-breakpoints) {\n\n  // Generate media query if needed\n  @include media-breakpoint-up($breakpoint) {\n    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    // Loop over each utility property\n    @each $key, $utility in $utilities {\n      // The utility can be disabled with `false`, thus check if the utility is a map first\n      // Only proceed if responsive media queries are enabled or if it's the base media query\n      @if type-of($utility) == \"map\" and (map-get($utility, responsive) or $infix == \"\") {\n        @include generate-utility($utility, $infix);\n      }\n    }\n  }\n}\n\n// RFS rescaling\n@media (min-width: $rfs-mq-value) {\n  @each $breakpoint in map-keys($grid-breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    @if (map-get($grid-breakpoints, $breakpoint) < $rfs-breakpoint) {\n      // Loop over each utility property\n      @each $key, $utility in $utilities {\n        // The utility can be disabled with `false`, thus check if the utility is a map first\n        // Only proceed if responsive media queries are enabled or if it's the base media query\n        @if type-of($utility) == \"map\" and map-get($utility, rfs) and (map-get($utility, responsive) or $infix == \"\") {\n          @include generate-utility($utility, $infix, true);\n        }\n      }\n    }\n  }\n}\n\n\n// Print utilities\n@media print {\n  @each $key, $utility in $utilities {\n    // The utility can be disabled with `false`, thus check if the utility is a map first\n    // Then check if the utility needs print styles\n    @if type-of($utility) == \"map\" and map-get($utility, print) == true {\n      @include generate-utility($utility, \"-print\");\n    }\n  }\n}\n","/*!\n * Font Awesome Free 6.5.2 by @fontawesome - https://fontawesome.com\n * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)\n * Copyright 2024 Fonticons, Inc.\n */\n// Font Awesome core compile (Web Fonts-based)\n// -------------------------\n\n@import 'functions';\n@import 'variables';\n@import 'mixins';\n@import 'core';\n@import 'sizing';\n@import 'fixed-width';\n@import 'list';\n@import 'bordered-pulled';\n@import 'animated';\n@import 'rotated-flipped';\n@import 'stacked';\n@import 'icons';\n@import 'screen-reader';\n","// base icon class definition\n// -------------------------\n\n.#{$fa-css-prefix} {\n  font-family: var(--#{$fa-css-prefix}-style-family, '#{$fa-style-family}');\n  font-weight: var(--#{$fa-css-prefix}-style, #{$fa-style});\n}\n\n.#{$fa-css-prefix},\n.#{$fa-css-prefix}-classic,\n.#{$fa-css-prefix}-sharp,\n.fas,\n.#{$fa-css-prefix}-solid,\n.far,\n.#{$fa-css-prefix}-regular,\n.fab,\n.#{$fa-css-prefix}-brands {\n  -moz-osx-font-smoothing: grayscale;\n  -webkit-font-smoothing: antialiased;\n  display: var(--#{$fa-css-prefix}-display, #{$fa-display});\n  font-style: normal;\n  font-variant: normal;\n  line-height: 1;\n  text-rendering: auto;\n}\n\n.fas,\n.#{$fa-css-prefix}-classic,\n.#{$fa-css-prefix}-solid,\n.far,\n.#{$fa-css-prefix}-regular {\n  font-family: 'Font Awesome 6 Free';\n}\n\n.fab,\n.#{$fa-css-prefix}-brands {\n  font-family: 'Font Awesome 6 Brands';\n}\n\n\n%fa-icon {\n  @include fa-icon;\n}\n","// sizing icons\n// -------------------------\n\n// literal magnification scale\n@for $i from 1 through 10 {\n  .#{$fa-css-prefix}-#{$i}x {\n    font-size: $i * 1em;\n  }\n}\n\n// step-based scale (with alignment)\n@each $size, $value in $fa-sizes {\n  .#{$fa-css-prefix}-#{$size} {\n     @include fa-size($value);\n  }\n}\n","// mixins\n// --------------------------\n\n// base rendering for an icon\n@mixin fa-icon {\n  -webkit-font-smoothing: antialiased;\n  -moz-osx-font-smoothing: grayscale;\n  display: inline-block;\n  font-style: normal;\n  font-variant: normal;\n  font-weight: normal;\n  line-height: 1;\n}\n\n// sets relative font-sizing and alignment (in _sizing)\n@mixin fa-size ($font-size) {\n  font-size: fa-divide($font-size, $fa-size-scale-base) * 1em; // converts step in sizing scale into an em-based value that's relative to the scale's base\n  line-height: fa-divide(1, $font-size) * 1em; // sets the line-height of the icon back to that of it's parent\n  vertical-align: (fa-divide(6, $font-size) - fa-divide(3, 8)) * 1em; // vertically centers the icon taking into account the surrounding text's descender\n}\n\n// only display content to screen readers\n// see: https://www.a11yproject.com/posts/2013-01-11-how-to-hide-content/\n// see: https://hugogiraudel.com/2016/10/13/css-hide-and-seek/\n@mixin fa-sr-only() {\n  position: absolute;\n  width: 1px;\n  height: 1px;\n  padding: 0;\n  margin: -1px;\n  overflow: hidden;\n  clip: rect(0, 0, 0, 0);\n  white-space: nowrap;\n  border-width: 0;\n}\n\n// use in conjunction with .sr-only to only display content when it's focused\n@mixin fa-sr-only-focusable() {\n  &:not(:focus) {\n    @include fa-sr-only();\n  }\n}\n\n// sets a specific icon family to use alongside style + icon mixins\n\n// convenience mixins for declaring pseudo-elements by CSS variable,\n// including all style-specific font properties, and both the ::before\n// and ::after elements in the duotone case.\n@mixin fa-icon-solid($fa-var) {\n  @extend %fa-icon;\n  @extend .fa-solid;\n\n  &::before {\n    content: unquote(\"\\\"#{ $fa-var }\\\"\");\n  }\n}\n@mixin fa-icon-regular($fa-var) {\n  @extend %fa-icon;\n  @extend .fa-regular;\n\n  &::before {\n    content: unquote(\"\\\"#{ $fa-var }\\\"\");\n  }\n}\n@mixin fa-icon-brands($fa-var) {\n  @extend %fa-icon;\n  @extend .fa-brands;\n\n  &::before {\n    content: unquote(\"\\\"#{ $fa-var }\\\"\");\n  }\n}\n","// fixed-width icons\n// -------------------------\n\n.#{$fa-css-prefix}-fw {\n  text-align: center;\n  width: $fa-fw-width;\n}\n","// icons in a list\n// -------------------------\n\n.#{$fa-css-prefix}-ul {\n  list-style-type: none;\n  margin-left: var(--#{$fa-css-prefix}-li-margin, #{$fa-li-margin});\n  padding-left: 0;\n\n  > li { position: relative; }\n}\n\n.#{$fa-css-prefix}-li {\n  left: calc(var(--#{$fa-css-prefix}-li-width, #{$fa-li-width}) * -1);\n  position: absolute;\n  text-align: center;\n  width: var(--#{$fa-css-prefix}-li-width, #{$fa-li-width});\n  line-height: inherit;\n}\n","// bordered + pulled icons\n// -------------------------\n\n.#{$fa-css-prefix}-border {\n  border-color: var(--#{$fa-css-prefix}-border-color, #{$fa-border-color});\n  border-radius: var(--#{$fa-css-prefix}-border-radius, #{$fa-border-radius});\n  border-style: var(--#{$fa-css-prefix}-border-style, #{$fa-border-style});\n  border-width: var(--#{$fa-css-prefix}-border-width, #{$fa-border-width});\n  padding: var(--#{$fa-css-prefix}-border-padding, #{$fa-border-padding});\n}\n\n.#{$fa-css-prefix}-pull-left {\n  float: left;\n  margin-right: var(--#{$fa-css-prefix}-pull-margin, #{$fa-pull-margin}); \n}\n\n.#{$fa-css-prefix}-pull-right {\n  float: right;\n  margin-left: var(--#{$fa-css-prefix}-pull-margin, #{$fa-pull-margin}); \n}\n","// animating icons\n// --------------------------\n\n.#{$fa-css-prefix}-beat {\n  animation-name: #{$fa-css-prefix}-beat;\n  animation-delay: var(--#{$fa-css-prefix}-animation-delay, 0s);\n  animation-direction: var(--#{$fa-css-prefix}-animation-direction, normal);\n  animation-duration: var(--#{$fa-css-prefix}-animation-duration, 1s);\n  animation-iteration-count: var(--#{$fa-css-prefix}-animation-iteration-count, infinite);\n  animation-timing-function: var(--#{$fa-css-prefix}-animation-timing, ease-in-out);\n}\n\n.#{$fa-css-prefix}-bounce {\n  animation-name: #{$fa-css-prefix}-bounce;\n  animation-delay: var(--#{$fa-css-prefix}-animation-delay, 0s);\n  animation-direction: var(--#{$fa-css-prefix}-animation-direction, normal);\n  animation-duration: var(--#{$fa-css-prefix}-animation-duration, 1s);\n  animation-iteration-count: var(--#{$fa-css-prefix}-animation-iteration-count, infinite);\n  animation-timing-function: var(--#{$fa-css-prefix}-animation-timing, cubic-bezier(0.280, 0.840, 0.420, 1));\n}\n\n.#{$fa-css-prefix}-fade {\n  animation-name: #{$fa-css-prefix}-fade;\n  animation-delay: var(--#{$fa-css-prefix}-animation-delay, 0s);\n  animation-direction: var(--#{$fa-css-prefix}-animation-direction, normal);\n  animation-duration: var(--#{$fa-css-prefix}-animation-duration, 1s);\n  animation-iteration-count: var(--#{$fa-css-prefix}-animation-iteration-count, infinite);\n  animation-timing-function: var(--#{$fa-css-prefix}-animation-timing, cubic-bezier(.4,0,.6,1));\n}\n\n.#{$fa-css-prefix}-beat-fade {\n  animation-name: #{$fa-css-prefix}-beat-fade;\n  animation-delay: var(--#{$fa-css-prefix}-animation-delay, 0s);\n  animation-direction: var(--#{$fa-css-prefix}-animation-direction, normal);\n  animation-duration: var(--#{$fa-css-prefix}-animation-duration, 1s);\n  animation-iteration-count: var(--#{$fa-css-prefix}-animation-iteration-count, infinite);\n  animation-timing-function: var(--#{$fa-css-prefix}-animation-timing, cubic-bezier(.4,0,.6,1));\n}\n\n.#{$fa-css-prefix}-flip {\n  animation-name: #{$fa-css-prefix}-flip;\n  animation-delay: var(--#{$fa-css-prefix}-animation-delay, 0s);\n  animation-direction: var(--#{$fa-css-prefix}-animation-direction, normal);\n  animation-duration: var(--#{$fa-css-prefix}-animation-duration, 1s);\n  animation-iteration-count: var(--#{$fa-css-prefix}-animation-iteration-count, infinite);\n  animation-timing-function: var(--#{$fa-css-prefix}-animation-timing, ease-in-out);\n}\n\n.#{$fa-css-prefix}-shake {\n  animation-name: #{$fa-css-prefix}-shake;\n  animation-delay: var(--#{$fa-css-prefix}-animation-delay, 0s);\n  animation-direction: var(--#{$fa-css-prefix}-animation-direction, normal);\n  animation-duration: var(--#{$fa-css-prefix}-animation-duration, 1s);\n  animation-iteration-count: var(--#{$fa-css-prefix}-animation-iteration-count, infinite);\n  animation-timing-function: var(--#{$fa-css-prefix}-animation-timing, linear);\n}\n\n.#{$fa-css-prefix}-spin {\n  animation-name: #{$fa-css-prefix}-spin;\n  animation-delay: var(--#{$fa-css-prefix}-animation-delay, 0s);\n  animation-direction: var(--#{$fa-css-prefix}-animation-direction, normal);\n  animation-duration: var(--#{$fa-css-prefix}-animation-duration, 2s);\n  animation-iteration-count: var(--#{$fa-css-prefix}-animation-iteration-count, infinite);\n  animation-timing-function: var(--#{$fa-css-prefix}-animation-timing, linear);\n}\n\n.#{$fa-css-prefix}-spin-reverse {\n  --#{$fa-css-prefix}-animation-direction: reverse;\n}\n\n.#{$fa-css-prefix}-pulse,\n.#{$fa-css-prefix}-spin-pulse {\n  animation-name: #{$fa-css-prefix}-spin;\n  animation-direction: var(--#{$fa-css-prefix}-animation-direction, normal);\n  animation-duration: var(--#{$fa-css-prefix}-animation-duration, 1s);\n  animation-iteration-count: var(--#{$fa-css-prefix}-animation-iteration-count, infinite);\n  animation-timing-function: var(--#{$fa-css-prefix}-animation-timing, steps(8));\n}\n\n// if agent or operating system prefers reduced motion, disable animations\n// see: https://www.smashingmagazine.com/2020/09/design-reduced-motion-sensitivities/\n// see: https://developer.mozilla.org/en-US/docs/Web/CSS/@media/prefers-reduced-motion\n@media (prefers-reduced-motion: reduce) {\n  .#{$fa-css-prefix}-beat,\n  .#{$fa-css-prefix}-bounce,\n  .#{$fa-css-prefix}-fade,\n  .#{$fa-css-prefix}-beat-fade,\n  .#{$fa-css-prefix}-flip,\n  .#{$fa-css-prefix}-pulse,\n  .#{$fa-css-prefix}-shake,\n  .#{$fa-css-prefix}-spin,\n  .#{$fa-css-prefix}-spin-pulse {\n    animation-delay: -1ms;\n    animation-duration: 1ms;\n    animation-iteration-count: 1;\n    transition-delay: 0s;\n    transition-duration: 0s;\n  }\n}\n\n@keyframes #{$fa-css-prefix}-beat {\n  0%, 90% { transform: scale(1); }\n  45% { transform: scale(var(--#{$fa-css-prefix}-beat-scale, 1.25)); }\n}\n\n@keyframes #{$fa-css-prefix}-bounce {\n  0%   { transform: scale(1,1) translateY(0); }\n  10%  { transform: scale(var(--#{$fa-css-prefix}-bounce-start-scale-x, 1.1),var(--#{$fa-css-prefix}-bounce-start-scale-y, 0.9)) translateY(0); }\n  30%  { transform: scale(var(--#{$fa-css-prefix}-bounce-jump-scale-x, 0.9),var(--#{$fa-css-prefix}-bounce-jump-scale-y, 1.1)) translateY(var(--#{$fa-css-prefix}-bounce-height, -0.5em)); }\n  50%  { transform: scale(var(--#{$fa-css-prefix}-bounce-land-scale-x, 1.05),var(--#{$fa-css-prefix}-bounce-land-scale-y, 0.95)) translateY(0); }\n  57%  { transform: scale(1,1) translateY(var(--#{$fa-css-prefix}-bounce-rebound, -0.125em)); }\n  64%  { transform: scale(1,1) translateY(0); }\n  100% { transform: scale(1,1) translateY(0); }\n}\n\n@keyframes #{$fa-css-prefix}-fade {\n  50% { opacity: var(--#{$fa-css-prefix}-fade-opacity, 0.4); }\n}\n\n@keyframes #{$fa-css-prefix}-beat-fade {\n  0%, 100% {\n    opacity: var(--#{$fa-css-prefix}-beat-fade-opacity, 0.4);\n    transform: scale(1);\n  }\n  50% {\n    opacity: 1;\n    transform: scale(var(--#{$fa-css-prefix}-beat-fade-scale, 1.125));\n  }\n}\n\n@keyframes #{$fa-css-prefix}-flip {\n  50% {\n    transform: rotate3d(var(--#{$fa-css-prefix}-flip-x, 0), var(--#{$fa-css-prefix}-flip-y, 1), var(--#{$fa-css-prefix}-flip-z, 0), var(--#{$fa-css-prefix}-flip-angle, -180deg));\n  }\n}\n\n@keyframes #{$fa-css-prefix}-shake {\n  0% { transform: rotate(-15deg); }\n  4% { transform: rotate(15deg); }\n  8%, 24% { transform: rotate(-18deg); }\n  12%, 28% { transform: rotate(18deg); }\n  16% { transform: rotate(-22deg); }\n  20% { transform: rotate(22deg); }\n  32% { transform: rotate(-12deg); }\n  36% { transform: rotate(12deg); }\n  40%, 100% { transform: rotate(0deg); }\n}\n\n@keyframes #{$fa-css-prefix}-spin {\n  0% { transform: rotate(0deg); }\n  100% { transform: rotate(360deg); }\n}\n","// rotating + flipping icons\n// -------------------------\n\n.#{$fa-css-prefix}-rotate-90 {\n  transform: rotate(90deg);\n}\n\n.#{$fa-css-prefix}-rotate-180 {\n  transform: rotate(180deg);\n}\n\n.#{$fa-css-prefix}-rotate-270 {\n  transform: rotate(270deg);\n}\n\n.#{$fa-css-prefix}-flip-horizontal {\n  transform: scale(-1, 1);\n}\n\n.#{$fa-css-prefix}-flip-vertical {\n  transform: scale(1, -1);\n}\n\n.#{$fa-css-prefix}-flip-both,\n.#{$fa-css-prefix}-flip-horizontal.#{$fa-css-prefix}-flip-vertical {\n  transform: scale(-1, -1);\n}\n\n.#{$fa-css-prefix}-rotate-by {\n  transform: rotate(var(--#{$fa-css-prefix}-rotate-angle, 0));\n}\n","// stacking icons\n// -------------------------\n\n.#{$fa-css-prefix}-stack {\n  display: inline-block;\n  height: 2em;\n  line-height: 2em;\n  position: relative;\n  vertical-align: $fa-stack-vertical-align;\n  width: $fa-stack-width;\n}\n\n.#{$fa-css-prefix}-stack-1x,\n.#{$fa-css-prefix}-stack-2x {\n  left: 0;\n  position: absolute;\n  text-align: center;\n  width: 100%;\n  z-index: var(--#{$fa-css-prefix}-stack-z-index, #{$fa-stack-z-index});\n}\n\n.#{$fa-css-prefix}-stack-1x {\n  line-height: inherit;\n}\n\n.#{$fa-css-prefix}-stack-2x {\n  font-size: 2em;\n}\n\n.#{$fa-css-prefix}-inverse {\n  color: var(--#{$fa-css-prefix}-inverse, #{$fa-inverse});\n}\n","// variables\n// --------------------------\n\n$fa-css-prefix          : fa !default;\n$fa-style               : 900 !default;\n$fa-style-family        : \"Font Awesome 6 Free\" !default;\n\n$fa-display             : inline-block !default;\n\n$fa-fw-width            : fa-divide(20em, 16) !default;\n$fa-inverse             : #fff !default;\n\n$fa-border-color        : #eee !default;\n$fa-border-padding      : .2em .25em .15em !default;\n$fa-border-radius       : .1em !default;\n$fa-border-style        : solid !default;\n$fa-border-width        : .08em !default;\n\n$fa-size-scale-2xs      : 10 !default;\n$fa-size-scale-xs       : 12 !default;\n$fa-size-scale-sm       : 14 !default;\n$fa-size-scale-base     : 16 !default;\n$fa-size-scale-lg       : 20 !default;\n$fa-size-scale-xl       : 24 !default;\n$fa-size-scale-2xl      : 32 !default;\n\n$fa-sizes: (\n  \"2xs\"                 : $fa-size-scale-2xs,\n  \"xs\"                  : $fa-size-scale-xs,\n  \"sm\"                  : $fa-size-scale-sm,\n  \"lg\"                  : $fa-size-scale-lg,\n  \"xl\"                  : $fa-size-scale-xl,\n  \"2xl\"                 : $fa-size-scale-2xl\n) !default;\n\n$fa-li-width            : 2em !default;\n$fa-li-margin           : $fa-li-width * fa-divide(5, 4) !default;\n\n$fa-pull-margin         : .3em !default;\n\n$fa-primary-opacity     : 1 !default;\n$fa-secondary-opacity   : .4 !default;\n\n$fa-stack-vertical-align: middle !default;\n$fa-stack-width         : ($fa-fw-width * 2) !default;\n$fa-stack-z-index       : auto !default;\n\n$fa-font-display        : block !default;\n$fa-font-path           : \"../webfonts\" !default;\n\n$fa-var-0: \\30;\n$fa-var-1: \\31;\n$fa-var-2: \\32;\n$fa-var-3: \\33;\n$fa-var-4: \\34;\n$fa-var-5: \\35;\n$fa-var-6: \\36;\n$fa-var-7: \\37;\n$fa-var-8: \\38;\n$fa-var-9: \\39;\n$fa-var-fill-drip: \\f576;\n$fa-var-arrows-to-circle: \\e4bd;\n$fa-var-circle-chevron-right: \\f138;\n$fa-var-chevron-circle-right: \\f138;\n$fa-var-at: \\40;\n$fa-var-trash-can: \\f2ed;\n$fa-var-trash-alt: \\f2ed;\n$fa-var-text-height: \\f034;\n$fa-var-user-xmark: \\f235;\n$fa-var-user-times: \\f235;\n$fa-var-stethoscope: \\f0f1;\n$fa-var-message: \\f27a;\n$fa-var-comment-alt: \\f27a;\n$fa-var-info: \\f129;\n$fa-var-down-left-and-up-right-to-center: \\f422;\n$fa-var-compress-alt: \\f422;\n$fa-var-explosion: \\e4e9;\n$fa-var-file-lines: \\f15c;\n$fa-var-file-alt: \\f15c;\n$fa-var-file-text: \\f15c;\n$fa-var-wave-square: \\f83e;\n$fa-var-ring: \\f70b;\n$fa-var-building-un: \\e4d9;\n$fa-var-dice-three: \\f527;\n$fa-var-calendar-days: \\f073;\n$fa-var-calendar-alt: \\f073;\n$fa-var-anchor-circle-check: \\e4aa;\n$fa-var-building-circle-arrow-right: \\e4d1;\n$fa-var-volleyball: \\f45f;\n$fa-var-volleyball-ball: \\f45f;\n$fa-var-arrows-up-to-line: \\e4c2;\n$fa-var-sort-down: \\f0dd;\n$fa-var-sort-desc: \\f0dd;\n$fa-var-circle-minus: \\f056;\n$fa-var-minus-circle: \\f056;\n$fa-var-door-open: \\f52b;\n$fa-var-right-from-bracket: \\f2f5;\n$fa-var-sign-out-alt: \\f2f5;\n$fa-var-atom: \\f5d2;\n$fa-var-soap: \\e06e;\n$fa-var-icons: \\f86d;\n$fa-var-heart-music-camera-bolt: \\f86d;\n$fa-var-microphone-lines-slash: \\f539;\n$fa-var-microphone-alt-slash: \\f539;\n$fa-var-bridge-circle-check: \\e4c9;\n$fa-var-pump-medical: \\e06a;\n$fa-var-fingerprint: \\f577;\n$fa-var-hand-point-right: \\f0a4;\n$fa-var-magnifying-glass-location: \\f689;\n$fa-var-search-location: \\f689;\n$fa-var-forward-step: \\f051;\n$fa-var-step-forward: \\f051;\n$fa-var-face-smile-beam: \\f5b8;\n$fa-var-smile-beam: \\f5b8;\n$fa-var-flag-checkered: \\f11e;\n$fa-var-football: \\f44e;\n$fa-var-football-ball: \\f44e;\n$fa-var-school-circle-exclamation: \\e56c;\n$fa-var-crop: \\f125;\n$fa-var-angles-down: \\f103;\n$fa-var-angle-double-down: \\f103;\n$fa-var-users-rectangle: \\e594;\n$fa-var-people-roof: \\e537;\n$fa-var-people-line: \\e534;\n$fa-var-beer-mug-empty: \\f0fc;\n$fa-var-beer: \\f0fc;\n$fa-var-diagram-predecessor: \\e477;\n$fa-var-arrow-up-long: \\f176;\n$fa-var-long-arrow-up: \\f176;\n$fa-var-fire-flame-simple: \\f46a;\n$fa-var-burn: \\f46a;\n$fa-var-person: \\f183;\n$fa-var-male: \\f183;\n$fa-var-laptop: \\f109;\n$fa-var-file-csv: \\f6dd;\n$fa-var-menorah: \\f676;\n$fa-var-truck-plane: \\e58f;\n$fa-var-record-vinyl: \\f8d9;\n$fa-var-face-grin-stars: \\f587;\n$fa-var-grin-stars: \\f587;\n$fa-var-bong: \\f55c;\n$fa-var-spaghetti-monster-flying: \\f67b;\n$fa-var-pastafarianism: \\f67b;\n$fa-var-arrow-down-up-across-line: \\e4af;\n$fa-var-spoon: \\f2e5;\n$fa-var-utensil-spoon: \\f2e5;\n$fa-var-jar-wheat: \\e517;\n$fa-var-envelopes-bulk: \\f674;\n$fa-var-mail-bulk: \\f674;\n$fa-var-file-circle-exclamation: \\e4eb;\n$fa-var-circle-h: \\f47e;\n$fa-var-hospital-symbol: \\f47e;\n$fa-var-pager: \\f815;\n$fa-var-address-book: \\f2b9;\n$fa-var-contact-book: \\f2b9;\n$fa-var-strikethrough: \\f0cc;\n$fa-var-k: \\4b;\n$fa-var-landmark-flag: \\e51c;\n$fa-var-pencil: \\f303;\n$fa-var-pencil-alt: \\f303;\n$fa-var-backward: \\f04a;\n$fa-var-caret-right: \\f0da;\n$fa-var-comments: \\f086;\n$fa-var-paste: \\f0ea;\n$fa-var-file-clipboard: \\f0ea;\n$fa-var-code-pull-request: \\e13c;\n$fa-var-clipboard-list: \\f46d;\n$fa-var-truck-ramp-box: \\f4de;\n$fa-var-truck-loading: \\f4de;\n$fa-var-user-check: \\f4fc;\n$fa-var-vial-virus: \\e597;\n$fa-var-sheet-plastic: \\e571;\n$fa-var-blog: \\f781;\n$fa-var-user-ninja: \\f504;\n$fa-var-person-arrow-up-from-line: \\e539;\n$fa-var-scroll-torah: \\f6a0;\n$fa-var-torah: \\f6a0;\n$fa-var-broom-ball: \\f458;\n$fa-var-quidditch: \\f458;\n$fa-var-quidditch-broom-ball: \\f458;\n$fa-var-toggle-off: \\f204;\n$fa-var-box-archive: \\f187;\n$fa-var-archive: \\f187;\n$fa-var-person-drowning: \\e545;\n$fa-var-arrow-down-9-1: \\f886;\n$fa-var-sort-numeric-desc: \\f886;\n$fa-var-sort-numeric-down-alt: \\f886;\n$fa-var-face-grin-tongue-squint: \\f58a;\n$fa-var-grin-tongue-squint: \\f58a;\n$fa-var-spray-can: \\f5bd;\n$fa-var-truck-monster: \\f63b;\n$fa-var-w: \\57;\n$fa-var-earth-africa: \\f57c;\n$fa-var-globe-africa: \\f57c;\n$fa-var-rainbow: \\f75b;\n$fa-var-circle-notch: \\f1ce;\n$fa-var-tablet-screen-button: \\f3fa;\n$fa-var-tablet-alt: \\f3fa;\n$fa-var-paw: \\f1b0;\n$fa-var-cloud: \\f0c2;\n$fa-var-trowel-bricks: \\e58a;\n$fa-var-face-flushed: \\f579;\n$fa-var-flushed: \\f579;\n$fa-var-hospital-user: \\f80d;\n$fa-var-tent-arrow-left-right: \\e57f;\n$fa-var-gavel: \\f0e3;\n$fa-var-legal: \\f0e3;\n$fa-var-binoculars: \\f1e5;\n$fa-var-microphone-slash: \\f131;\n$fa-var-box-tissue: \\e05b;\n$fa-var-motorcycle: \\f21c;\n$fa-var-bell-concierge: \\f562;\n$fa-var-concierge-bell: \\f562;\n$fa-var-pen-ruler: \\f5ae;\n$fa-var-pencil-ruler: \\f5ae;\n$fa-var-people-arrows: \\e068;\n$fa-var-people-arrows-left-right: \\e068;\n$fa-var-mars-and-venus-burst: \\e523;\n$fa-var-square-caret-right: \\f152;\n$fa-var-caret-square-right: \\f152;\n$fa-var-scissors: \\f0c4;\n$fa-var-cut: \\f0c4;\n$fa-var-sun-plant-wilt: \\e57a;\n$fa-var-toilets-portable: \\e584;\n$fa-var-hockey-puck: \\f453;\n$fa-var-table: \\f0ce;\n$fa-var-magnifying-glass-arrow-right: \\e521;\n$fa-var-tachograph-digital: \\f566;\n$fa-var-digital-tachograph: \\f566;\n$fa-var-users-slash: \\e073;\n$fa-var-clover: \\e139;\n$fa-var-reply: \\f3e5;\n$fa-var-mail-reply: \\f3e5;\n$fa-var-star-and-crescent: \\f699;\n$fa-var-house-fire: \\e50c;\n$fa-var-square-minus: \\f146;\n$fa-var-minus-square: \\f146;\n$fa-var-helicopter: \\f533;\n$fa-var-compass: \\f14e;\n$fa-var-square-caret-down: \\f150;\n$fa-var-caret-square-down: \\f150;\n$fa-var-file-circle-question: \\e4ef;\n$fa-var-laptop-code: \\f5fc;\n$fa-var-swatchbook: \\f5c3;\n$fa-var-prescription-bottle: \\f485;\n$fa-var-bars: \\f0c9;\n$fa-var-navicon: \\f0c9;\n$fa-var-people-group: \\e533;\n$fa-var-hourglass-end: \\f253;\n$fa-var-hourglass-3: \\f253;\n$fa-var-heart-crack: \\f7a9;\n$fa-var-heart-broken: \\f7a9;\n$fa-var-square-up-right: \\f360;\n$fa-var-external-link-square-alt: \\f360;\n$fa-var-face-kiss-beam: \\f597;\n$fa-var-kiss-beam: \\f597;\n$fa-var-film: \\f008;\n$fa-var-ruler-horizontal: \\f547;\n$fa-var-people-robbery: \\e536;\n$fa-var-lightbulb: \\f0eb;\n$fa-var-caret-left: \\f0d9;\n$fa-var-circle-exclamation: \\f06a;\n$fa-var-exclamation-circle: \\f06a;\n$fa-var-school-circle-xmark: \\e56d;\n$fa-var-arrow-right-from-bracket: \\f08b;\n$fa-var-sign-out: \\f08b;\n$fa-var-circle-chevron-down: \\f13a;\n$fa-var-chevron-circle-down: \\f13a;\n$fa-var-unlock-keyhole: \\f13e;\n$fa-var-unlock-alt: \\f13e;\n$fa-var-cloud-showers-heavy: \\f740;\n$fa-var-headphones-simple: \\f58f;\n$fa-var-headphones-alt: \\f58f;\n$fa-var-sitemap: \\f0e8;\n$fa-var-circle-dollar-to-slot: \\f4b9;\n$fa-var-donate: \\f4b9;\n$fa-var-memory: \\f538;\n$fa-var-road-spikes: \\e568;\n$fa-var-fire-burner: \\e4f1;\n$fa-var-flag: \\f024;\n$fa-var-hanukiah: \\f6e6;\n$fa-var-feather: \\f52d;\n$fa-var-volume-low: \\f027;\n$fa-var-volume-down: \\f027;\n$fa-var-comment-slash: \\f4b3;\n$fa-var-cloud-sun-rain: \\f743;\n$fa-var-compress: \\f066;\n$fa-var-wheat-awn: \\e2cd;\n$fa-var-wheat-alt: \\e2cd;\n$fa-var-ankh: \\f644;\n$fa-var-hands-holding-child: \\e4fa;\n$fa-var-asterisk: \\2a;\n$fa-var-square-check: \\f14a;\n$fa-var-check-square: \\f14a;\n$fa-var-peseta-sign: \\e221;\n$fa-var-heading: \\f1dc;\n$fa-var-header: \\f1dc;\n$fa-var-ghost: \\f6e2;\n$fa-var-list: \\f03a;\n$fa-var-list-squares: \\f03a;\n$fa-var-square-phone-flip: \\f87b;\n$fa-var-phone-square-alt: \\f87b;\n$fa-var-cart-plus: \\f217;\n$fa-var-gamepad: \\f11b;\n$fa-var-circle-dot: \\f192;\n$fa-var-dot-circle: \\f192;\n$fa-var-face-dizzy: \\f567;\n$fa-var-dizzy: \\f567;\n$fa-var-egg: \\f7fb;\n$fa-var-house-medical-circle-xmark: \\e513;\n$fa-var-campground: \\f6bb;\n$fa-var-folder-plus: \\f65e;\n$fa-var-futbol: \\f1e3;\n$fa-var-futbol-ball: \\f1e3;\n$fa-var-soccer-ball: \\f1e3;\n$fa-var-paintbrush: \\f1fc;\n$fa-var-paint-brush: \\f1fc;\n$fa-var-lock: \\f023;\n$fa-var-gas-pump: \\f52f;\n$fa-var-hot-tub-person: \\f593;\n$fa-var-hot-tub: \\f593;\n$fa-var-map-location: \\f59f;\n$fa-var-map-marked: \\f59f;\n$fa-var-house-flood-water: \\e50e;\n$fa-var-tree: \\f1bb;\n$fa-var-bridge-lock: \\e4cc;\n$fa-var-sack-dollar: \\f81d;\n$fa-var-pen-to-square: \\f044;\n$fa-var-edit: \\f044;\n$fa-var-car-side: \\f5e4;\n$fa-var-share-nodes: \\f1e0;\n$fa-var-share-alt: \\f1e0;\n$fa-var-heart-circle-minus: \\e4ff;\n$fa-var-hourglass-half: \\f252;\n$fa-var-hourglass-2: \\f252;\n$fa-var-microscope: \\f610;\n$fa-var-sink: \\e06d;\n$fa-var-bag-shopping: \\f290;\n$fa-var-shopping-bag: \\f290;\n$fa-var-arrow-down-z-a: \\f881;\n$fa-var-sort-alpha-desc: \\f881;\n$fa-var-sort-alpha-down-alt: \\f881;\n$fa-var-mitten: \\f7b5;\n$fa-var-person-rays: \\e54d;\n$fa-var-users: \\f0c0;\n$fa-var-eye-slash: \\f070;\n$fa-var-flask-vial: \\e4f3;\n$fa-var-hand: \\f256;\n$fa-var-hand-paper: \\f256;\n$fa-var-om: \\f679;\n$fa-var-worm: \\e599;\n$fa-var-house-circle-xmark: \\e50b;\n$fa-var-plug: \\f1e6;\n$fa-var-chevron-up: \\f077;\n$fa-var-hand-spock: \\f259;\n$fa-var-stopwatch: \\f2f2;\n$fa-var-face-kiss: \\f596;\n$fa-var-kiss: \\f596;\n$fa-var-bridge-circle-xmark: \\e4cb;\n$fa-var-face-grin-tongue: \\f589;\n$fa-var-grin-tongue: \\f589;\n$fa-var-chess-bishop: \\f43a;\n$fa-var-face-grin-wink: \\f58c;\n$fa-var-grin-wink: \\f58c;\n$fa-var-ear-deaf: \\f2a4;\n$fa-var-deaf: \\f2a4;\n$fa-var-deafness: \\f2a4;\n$fa-var-hard-of-hearing: \\f2a4;\n$fa-var-road-circle-check: \\e564;\n$fa-var-dice-five: \\f523;\n$fa-var-square-rss: \\f143;\n$fa-var-rss-square: \\f143;\n$fa-var-land-mine-on: \\e51b;\n$fa-var-i-cursor: \\f246;\n$fa-var-stamp: \\f5bf;\n$fa-var-stairs: \\e289;\n$fa-var-i: \\49;\n$fa-var-hryvnia-sign: \\f6f2;\n$fa-var-hryvnia: \\f6f2;\n$fa-var-pills: \\f484;\n$fa-var-face-grin-wide: \\f581;\n$fa-var-grin-alt: \\f581;\n$fa-var-tooth: \\f5c9;\n$fa-var-v: \\56;\n$fa-var-bangladeshi-taka-sign: \\e2e6;\n$fa-var-bicycle: \\f206;\n$fa-var-staff-snake: \\e579;\n$fa-var-rod-asclepius: \\e579;\n$fa-var-rod-snake: \\e579;\n$fa-var-staff-aesculapius: \\e579;\n$fa-var-head-side-cough-slash: \\e062;\n$fa-var-truck-medical: \\f0f9;\n$fa-var-ambulance: \\f0f9;\n$fa-var-wheat-awn-circle-exclamation: \\e598;\n$fa-var-snowman: \\f7d0;\n$fa-var-mortar-pestle: \\f5a7;\n$fa-var-road-barrier: \\e562;\n$fa-var-school: \\f549;\n$fa-var-igloo: \\f7ae;\n$fa-var-joint: \\f595;\n$fa-var-angle-right: \\f105;\n$fa-var-horse: \\f6f0;\n$fa-var-q: \\51;\n$fa-var-g: \\47;\n$fa-var-notes-medical: \\f481;\n$fa-var-temperature-half: \\f2c9;\n$fa-var-temperature-2: \\f2c9;\n$fa-var-thermometer-2: \\f2c9;\n$fa-var-thermometer-half: \\f2c9;\n$fa-var-dong-sign: \\e169;\n$fa-var-capsules: \\f46b;\n$fa-var-poo-storm: \\f75a;\n$fa-var-poo-bolt: \\f75a;\n$fa-var-face-frown-open: \\f57a;\n$fa-var-frown-open: \\f57a;\n$fa-var-hand-point-up: \\f0a6;\n$fa-var-money-bill: \\f0d6;\n$fa-var-bookmark: \\f02e;\n$fa-var-align-justify: \\f039;\n$fa-var-umbrella-beach: \\f5ca;\n$fa-var-helmet-un: \\e503;\n$fa-var-bullseye: \\f140;\n$fa-var-bacon: \\f7e5;\n$fa-var-hand-point-down: \\f0a7;\n$fa-var-arrow-up-from-bracket: \\e09a;\n$fa-var-folder: \\f07b;\n$fa-var-folder-blank: \\f07b;\n$fa-var-file-waveform: \\f478;\n$fa-var-file-medical-alt: \\f478;\n$fa-var-radiation: \\f7b9;\n$fa-var-chart-simple: \\e473;\n$fa-var-mars-stroke: \\f229;\n$fa-var-vial: \\f492;\n$fa-var-gauge: \\f624;\n$fa-var-dashboard: \\f624;\n$fa-var-gauge-med: \\f624;\n$fa-var-tachometer-alt-average: \\f624;\n$fa-var-wand-magic-sparkles: \\e2ca;\n$fa-var-magic-wand-sparkles: \\e2ca;\n$fa-var-e: \\45;\n$fa-var-pen-clip: \\f305;\n$fa-var-pen-alt: \\f305;\n$fa-var-bridge-circle-exclamation: \\e4ca;\n$fa-var-user: \\f007;\n$fa-var-school-circle-check: \\e56b;\n$fa-var-dumpster: \\f793;\n$fa-var-van-shuttle: \\f5b6;\n$fa-var-shuttle-van: \\f5b6;\n$fa-var-building-user: \\e4da;\n$fa-var-square-caret-left: \\f191;\n$fa-var-caret-square-left: \\f191;\n$fa-var-highlighter: \\f591;\n$fa-var-key: \\f084;\n$fa-var-bullhorn: \\f0a1;\n$fa-var-globe: \\f0ac;\n$fa-var-synagogue: \\f69b;\n$fa-var-person-half-dress: \\e548;\n$fa-var-road-bridge: \\e563;\n$fa-var-location-arrow: \\f124;\n$fa-var-c: \\43;\n$fa-var-tablet-button: \\f10a;\n$fa-var-building-lock: \\e4d6;\n$fa-var-pizza-slice: \\f818;\n$fa-var-money-bill-wave: \\f53a;\n$fa-var-chart-area: \\f1fe;\n$fa-var-area-chart: \\f1fe;\n$fa-var-house-flag: \\e50d;\n$fa-var-person-circle-minus: \\e540;\n$fa-var-ban: \\f05e;\n$fa-var-cancel: \\f05e;\n$fa-var-camera-rotate: \\e0d8;\n$fa-var-spray-can-sparkles: \\f5d0;\n$fa-var-air-freshener: \\f5d0;\n$fa-var-star: \\f005;\n$fa-var-repeat: \\f363;\n$fa-var-cross: \\f654;\n$fa-var-box: \\f466;\n$fa-var-venus-mars: \\f228;\n$fa-var-arrow-pointer: \\f245;\n$fa-var-mouse-pointer: \\f245;\n$fa-var-maximize: \\f31e;\n$fa-var-expand-arrows-alt: \\f31e;\n$fa-var-charging-station: \\f5e7;\n$fa-var-shapes: \\f61f;\n$fa-var-triangle-circle-square: \\f61f;\n$fa-var-shuffle: \\f074;\n$fa-var-random: \\f074;\n$fa-var-person-running: \\f70c;\n$fa-var-running: \\f70c;\n$fa-var-mobile-retro: \\e527;\n$fa-var-grip-lines-vertical: \\f7a5;\n$fa-var-spider: \\f717;\n$fa-var-hands-bound: \\e4f9;\n$fa-var-file-invoice-dollar: \\f571;\n$fa-var-plane-circle-exclamation: \\e556;\n$fa-var-x-ray: \\f497;\n$fa-var-spell-check: \\f891;\n$fa-var-slash: \\f715;\n$fa-var-computer-mouse: \\f8cc;\n$fa-var-mouse: \\f8cc;\n$fa-var-arrow-right-to-bracket: \\f090;\n$fa-var-sign-in: \\f090;\n$fa-var-shop-slash: \\e070;\n$fa-var-store-alt-slash: \\e070;\n$fa-var-server: \\f233;\n$fa-var-virus-covid-slash: \\e4a9;\n$fa-var-shop-lock: \\e4a5;\n$fa-var-hourglass-start: \\f251;\n$fa-var-hourglass-1: \\f251;\n$fa-var-blender-phone: \\f6b6;\n$fa-var-building-wheat: \\e4db;\n$fa-var-person-breastfeeding: \\e53a;\n$fa-var-right-to-bracket: \\f2f6;\n$fa-var-sign-in-alt: \\f2f6;\n$fa-var-venus: \\f221;\n$fa-var-passport: \\f5ab;\n$fa-var-heart-pulse: \\f21e;\n$fa-var-heartbeat: \\f21e;\n$fa-var-people-carry-box: \\f4ce;\n$fa-var-people-carry: \\f4ce;\n$fa-var-temperature-high: \\f769;\n$fa-var-microchip: \\f2db;\n$fa-var-crown: \\f521;\n$fa-var-weight-hanging: \\f5cd;\n$fa-var-xmarks-lines: \\e59a;\n$fa-var-file-prescription: \\f572;\n$fa-var-weight-scale: \\f496;\n$fa-var-weight: \\f496;\n$fa-var-user-group: \\f500;\n$fa-var-user-friends: \\f500;\n$fa-var-arrow-up-a-z: \\f15e;\n$fa-var-sort-alpha-up: \\f15e;\n$fa-var-chess-knight: \\f441;\n$fa-var-face-laugh-squint: \\f59b;\n$fa-var-laugh-squint: \\f59b;\n$fa-var-wheelchair: \\f193;\n$fa-var-circle-arrow-up: \\f0aa;\n$fa-var-arrow-circle-up: \\f0aa;\n$fa-var-toggle-on: \\f205;\n$fa-var-person-walking: \\f554;\n$fa-var-walking: \\f554;\n$fa-var-l: \\4c;\n$fa-var-fire: \\f06d;\n$fa-var-bed-pulse: \\f487;\n$fa-var-procedures: \\f487;\n$fa-var-shuttle-space: \\f197;\n$fa-var-space-shuttle: \\f197;\n$fa-var-face-laugh: \\f599;\n$fa-var-laugh: \\f599;\n$fa-var-folder-open: \\f07c;\n$fa-var-heart-circle-plus: \\e500;\n$fa-var-code-fork: \\e13b;\n$fa-var-city: \\f64f;\n$fa-var-microphone-lines: \\f3c9;\n$fa-var-microphone-alt: \\f3c9;\n$fa-var-pepper-hot: \\f816;\n$fa-var-unlock: \\f09c;\n$fa-var-colon-sign: \\e140;\n$fa-var-headset: \\f590;\n$fa-var-store-slash: \\e071;\n$fa-var-road-circle-xmark: \\e566;\n$fa-var-user-minus: \\f503;\n$fa-var-mars-stroke-up: \\f22a;\n$fa-var-mars-stroke-v: \\f22a;\n$fa-var-champagne-glasses: \\f79f;\n$fa-var-glass-cheers: \\f79f;\n$fa-var-clipboard: \\f328;\n$fa-var-house-circle-exclamation: \\e50a;\n$fa-var-file-arrow-up: \\f574;\n$fa-var-file-upload: \\f574;\n$fa-var-wifi: \\f1eb;\n$fa-var-wifi-3: \\f1eb;\n$fa-var-wifi-strong: \\f1eb;\n$fa-var-bath: \\f2cd;\n$fa-var-bathtub: \\f2cd;\n$fa-var-underline: \\f0cd;\n$fa-var-user-pen: \\f4ff;\n$fa-var-user-edit: \\f4ff;\n$fa-var-signature: \\f5b7;\n$fa-var-stroopwafel: \\f551;\n$fa-var-bold: \\f032;\n$fa-var-anchor-lock: \\e4ad;\n$fa-var-building-ngo: \\e4d7;\n$fa-var-manat-sign: \\e1d5;\n$fa-var-not-equal: \\f53e;\n$fa-var-border-top-left: \\f853;\n$fa-var-border-style: \\f853;\n$fa-var-map-location-dot: \\f5a0;\n$fa-var-map-marked-alt: \\f5a0;\n$fa-var-jedi: \\f669;\n$fa-var-square-poll-vertical: \\f681;\n$fa-var-poll: \\f681;\n$fa-var-mug-hot: \\f7b6;\n$fa-var-car-battery: \\f5df;\n$fa-var-battery-car: \\f5df;\n$fa-var-gift: \\f06b;\n$fa-var-dice-two: \\f528;\n$fa-var-chess-queen: \\f445;\n$fa-var-glasses: \\f530;\n$fa-var-chess-board: \\f43c;\n$fa-var-building-circle-check: \\e4d2;\n$fa-var-person-chalkboard: \\e53d;\n$fa-var-mars-stroke-right: \\f22b;\n$fa-var-mars-stroke-h: \\f22b;\n$fa-var-hand-back-fist: \\f255;\n$fa-var-hand-rock: \\f255;\n$fa-var-square-caret-up: \\f151;\n$fa-var-caret-square-up: \\f151;\n$fa-var-cloud-showers-water: \\e4e4;\n$fa-var-chart-bar: \\f080;\n$fa-var-bar-chart: \\f080;\n$fa-var-hands-bubbles: \\e05e;\n$fa-var-hands-wash: \\e05e;\n$fa-var-less-than-equal: \\f537;\n$fa-var-train: \\f238;\n$fa-var-eye-low-vision: \\f2a8;\n$fa-var-low-vision: \\f2a8;\n$fa-var-crow: \\f520;\n$fa-var-sailboat: \\e445;\n$fa-var-window-restore: \\f2d2;\n$fa-var-square-plus: \\f0fe;\n$fa-var-plus-square: \\f0fe;\n$fa-var-torii-gate: \\f6a1;\n$fa-var-frog: \\f52e;\n$fa-var-bucket: \\e4cf;\n$fa-var-image: \\f03e;\n$fa-var-microphone: \\f130;\n$fa-var-cow: \\f6c8;\n$fa-var-caret-up: \\f0d8;\n$fa-var-screwdriver: \\f54a;\n$fa-var-folder-closed: \\e185;\n$fa-var-house-tsunami: \\e515;\n$fa-var-square-nfi: \\e576;\n$fa-var-arrow-up-from-ground-water: \\e4b5;\n$fa-var-martini-glass: \\f57b;\n$fa-var-glass-martini-alt: \\f57b;\n$fa-var-rotate-left: \\f2ea;\n$fa-var-rotate-back: \\f2ea;\n$fa-var-rotate-backward: \\f2ea;\n$fa-var-undo-alt: \\f2ea;\n$fa-var-table-columns: \\f0db;\n$fa-var-columns: \\f0db;\n$fa-var-lemon: \\f094;\n$fa-var-head-side-mask: \\e063;\n$fa-var-handshake: \\f2b5;\n$fa-var-gem: \\f3a5;\n$fa-var-dolly: \\f472;\n$fa-var-dolly-box: \\f472;\n$fa-var-smoking: \\f48d;\n$fa-var-minimize: \\f78c;\n$fa-var-compress-arrows-alt: \\f78c;\n$fa-var-monument: \\f5a6;\n$fa-var-snowplow: \\f7d2;\n$fa-var-angles-right: \\f101;\n$fa-var-angle-double-right: \\f101;\n$fa-var-cannabis: \\f55f;\n$fa-var-circle-play: \\f144;\n$fa-var-play-circle: \\f144;\n$fa-var-tablets: \\f490;\n$fa-var-ethernet: \\f796;\n$fa-var-euro-sign: \\f153;\n$fa-var-eur: \\f153;\n$fa-var-euro: \\f153;\n$fa-var-chair: \\f6c0;\n$fa-var-circle-check: \\f058;\n$fa-var-check-circle: \\f058;\n$fa-var-circle-stop: \\f28d;\n$fa-var-stop-circle: \\f28d;\n$fa-var-compass-drafting: \\f568;\n$fa-var-drafting-compass: \\f568;\n$fa-var-plate-wheat: \\e55a;\n$fa-var-icicles: \\f7ad;\n$fa-var-person-shelter: \\e54f;\n$fa-var-neuter: \\f22c;\n$fa-var-id-badge: \\f2c1;\n$fa-var-marker: \\f5a1;\n$fa-var-face-laugh-beam: \\f59a;\n$fa-var-laugh-beam: \\f59a;\n$fa-var-helicopter-symbol: \\e502;\n$fa-var-universal-access: \\f29a;\n$fa-var-circle-chevron-up: \\f139;\n$fa-var-chevron-circle-up: \\f139;\n$fa-var-lari-sign: \\e1c8;\n$fa-var-volcano: \\f770;\n$fa-var-person-walking-dashed-line-arrow-right: \\e553;\n$fa-var-sterling-sign: \\f154;\n$fa-var-gbp: \\f154;\n$fa-var-pound-sign: \\f154;\n$fa-var-viruses: \\e076;\n$fa-var-square-person-confined: \\e577;\n$fa-var-user-tie: \\f508;\n$fa-var-arrow-down-long: \\f175;\n$fa-var-long-arrow-down: \\f175;\n$fa-var-tent-arrow-down-to-line: \\e57e;\n$fa-var-certificate: \\f0a3;\n$fa-var-reply-all: \\f122;\n$fa-var-mail-reply-all: \\f122;\n$fa-var-suitcase: \\f0f2;\n$fa-var-person-skating: \\f7c5;\n$fa-var-skating: \\f7c5;\n$fa-var-filter-circle-dollar: \\f662;\n$fa-var-funnel-dollar: \\f662;\n$fa-var-camera-retro: \\f083;\n$fa-var-circle-arrow-down: \\f0ab;\n$fa-var-arrow-circle-down: \\f0ab;\n$fa-var-file-import: \\f56f;\n$fa-var-arrow-right-to-file: \\f56f;\n$fa-var-square-arrow-up-right: \\f14c;\n$fa-var-external-link-square: \\f14c;\n$fa-var-box-open: \\f49e;\n$fa-var-scroll: \\f70e;\n$fa-var-spa: \\f5bb;\n$fa-var-location-pin-lock: \\e51f;\n$fa-var-pause: \\f04c;\n$fa-var-hill-avalanche: \\e507;\n$fa-var-temperature-empty: \\f2cb;\n$fa-var-temperature-0: \\f2cb;\n$fa-var-thermometer-0: \\f2cb;\n$fa-var-thermometer-empty: \\f2cb;\n$fa-var-bomb: \\f1e2;\n$fa-var-registered: \\f25d;\n$fa-var-address-card: \\f2bb;\n$fa-var-contact-card: \\f2bb;\n$fa-var-vcard: \\f2bb;\n$fa-var-scale-unbalanced-flip: \\f516;\n$fa-var-balance-scale-right: \\f516;\n$fa-var-subscript: \\f12c;\n$fa-var-diamond-turn-right: \\f5eb;\n$fa-var-directions: \\f5eb;\n$fa-var-burst: \\e4dc;\n$fa-var-house-laptop: \\e066;\n$fa-var-laptop-house: \\e066;\n$fa-var-face-tired: \\f5c8;\n$fa-var-tired: \\f5c8;\n$fa-var-money-bills: \\e1f3;\n$fa-var-smog: \\f75f;\n$fa-var-crutch: \\f7f7;\n$fa-var-cloud-arrow-up: \\f0ee;\n$fa-var-cloud-upload: \\f0ee;\n$fa-var-cloud-upload-alt: \\f0ee;\n$fa-var-palette: \\f53f;\n$fa-var-arrows-turn-right: \\e4c0;\n$fa-var-vest: \\e085;\n$fa-var-ferry: \\e4ea;\n$fa-var-arrows-down-to-people: \\e4b9;\n$fa-var-seedling: \\f4d8;\n$fa-var-sprout: \\f4d8;\n$fa-var-left-right: \\f337;\n$fa-var-arrows-alt-h: \\f337;\n$fa-var-boxes-packing: \\e4c7;\n$fa-var-circle-arrow-left: \\f0a8;\n$fa-var-arrow-circle-left: \\f0a8;\n$fa-var-group-arrows-rotate: \\e4f6;\n$fa-var-bowl-food: \\e4c6;\n$fa-var-candy-cane: \\f786;\n$fa-var-arrow-down-wide-short: \\f160;\n$fa-var-sort-amount-asc: \\f160;\n$fa-var-sort-amount-down: \\f160;\n$fa-var-cloud-bolt: \\f76c;\n$fa-var-thunderstorm: \\f76c;\n$fa-var-text-slash: \\f87d;\n$fa-var-remove-format: \\f87d;\n$fa-var-face-smile-wink: \\f4da;\n$fa-var-smile-wink: \\f4da;\n$fa-var-file-word: \\f1c2;\n$fa-var-file-powerpoint: \\f1c4;\n$fa-var-arrows-left-right: \\f07e;\n$fa-var-arrows-h: \\f07e;\n$fa-var-house-lock: \\e510;\n$fa-var-cloud-arrow-down: \\f0ed;\n$fa-var-cloud-download: \\f0ed;\n$fa-var-cloud-download-alt: \\f0ed;\n$fa-var-children: \\e4e1;\n$fa-var-chalkboard: \\f51b;\n$fa-var-blackboard: \\f51b;\n$fa-var-user-large-slash: \\f4fa;\n$fa-var-user-alt-slash: \\f4fa;\n$fa-var-envelope-open: \\f2b6;\n$fa-var-handshake-simple-slash: \\e05f;\n$fa-var-handshake-alt-slash: \\e05f;\n$fa-var-mattress-pillow: \\e525;\n$fa-var-guarani-sign: \\e19a;\n$fa-var-arrows-rotate: \\f021;\n$fa-var-refresh: \\f021;\n$fa-var-sync: \\f021;\n$fa-var-fire-extinguisher: \\f134;\n$fa-var-cruzeiro-sign: \\e152;\n$fa-var-greater-than-equal: \\f532;\n$fa-var-shield-halved: \\f3ed;\n$fa-var-shield-alt: \\f3ed;\n$fa-var-book-atlas: \\f558;\n$fa-var-atlas: \\f558;\n$fa-var-virus: \\e074;\n$fa-var-envelope-circle-check: \\e4e8;\n$fa-var-layer-group: \\f5fd;\n$fa-var-arrows-to-dot: \\e4be;\n$fa-var-archway: \\f557;\n$fa-var-heart-circle-check: \\e4fd;\n$fa-var-house-chimney-crack: \\f6f1;\n$fa-var-house-damage: \\f6f1;\n$fa-var-file-zipper: \\f1c6;\n$fa-var-file-archive: \\f1c6;\n$fa-var-square: \\f0c8;\n$fa-var-martini-glass-empty: \\f000;\n$fa-var-glass-martini: \\f000;\n$fa-var-couch: \\f4b8;\n$fa-var-cedi-sign: \\e0df;\n$fa-var-italic: \\f033;\n$fa-var-table-cells-column-lock: \\e678;\n$fa-var-church: \\f51d;\n$fa-var-comments-dollar: \\f653;\n$fa-var-democrat: \\f747;\n$fa-var-z: \\5a;\n$fa-var-person-skiing: \\f7c9;\n$fa-var-skiing: \\f7c9;\n$fa-var-road-lock: \\e567;\n$fa-var-a: \\41;\n$fa-var-temperature-arrow-down: \\e03f;\n$fa-var-temperature-down: \\e03f;\n$fa-var-feather-pointed: \\f56b;\n$fa-var-feather-alt: \\f56b;\n$fa-var-p: \\50;\n$fa-var-snowflake: \\f2dc;\n$fa-var-newspaper: \\f1ea;\n$fa-var-rectangle-ad: \\f641;\n$fa-var-ad: \\f641;\n$fa-var-circle-arrow-right: \\f0a9;\n$fa-var-arrow-circle-right: \\f0a9;\n$fa-var-filter-circle-xmark: \\e17b;\n$fa-var-locust: \\e520;\n$fa-var-sort: \\f0dc;\n$fa-var-unsorted: \\f0dc;\n$fa-var-list-ol: \\f0cb;\n$fa-var-list-1-2: \\f0cb;\n$fa-var-list-numeric: \\f0cb;\n$fa-var-person-dress-burst: \\e544;\n$fa-var-money-check-dollar: \\f53d;\n$fa-var-money-check-alt: \\f53d;\n$fa-var-vector-square: \\f5cb;\n$fa-var-bread-slice: \\f7ec;\n$fa-var-language: \\f1ab;\n$fa-var-face-kiss-wink-heart: \\f598;\n$fa-var-kiss-wink-heart: \\f598;\n$fa-var-filter: \\f0b0;\n$fa-var-question: \\3f;\n$fa-var-file-signature: \\f573;\n$fa-var-up-down-left-right: \\f0b2;\n$fa-var-arrows-alt: \\f0b2;\n$fa-var-house-chimney-user: \\e065;\n$fa-var-hand-holding-heart: \\f4be;\n$fa-var-puzzle-piece: \\f12e;\n$fa-var-money-check: \\f53c;\n$fa-var-star-half-stroke: \\f5c0;\n$fa-var-star-half-alt: \\f5c0;\n$fa-var-code: \\f121;\n$fa-var-whiskey-glass: \\f7a0;\n$fa-var-glass-whiskey: \\f7a0;\n$fa-var-building-circle-exclamation: \\e4d3;\n$fa-var-magnifying-glass-chart: \\e522;\n$fa-var-arrow-up-right-from-square: \\f08e;\n$fa-var-external-link: \\f08e;\n$fa-var-cubes-stacked: \\e4e6;\n$fa-var-won-sign: \\f159;\n$fa-var-krw: \\f159;\n$fa-var-won: \\f159;\n$fa-var-virus-covid: \\e4a8;\n$fa-var-austral-sign: \\e0a9;\n$fa-var-f: \\46;\n$fa-var-leaf: \\f06c;\n$fa-var-road: \\f018;\n$fa-var-taxi: \\f1ba;\n$fa-var-cab: \\f1ba;\n$fa-var-person-circle-plus: \\e541;\n$fa-var-chart-pie: \\f200;\n$fa-var-pie-chart: \\f200;\n$fa-var-bolt-lightning: \\e0b7;\n$fa-var-sack-xmark: \\e56a;\n$fa-var-file-excel: \\f1c3;\n$fa-var-file-contract: \\f56c;\n$fa-var-fish-fins: \\e4f2;\n$fa-var-building-flag: \\e4d5;\n$fa-var-face-grin-beam: \\f582;\n$fa-var-grin-beam: \\f582;\n$fa-var-object-ungroup: \\f248;\n$fa-var-poop: \\f619;\n$fa-var-location-pin: \\f041;\n$fa-var-map-marker: \\f041;\n$fa-var-kaaba: \\f66b;\n$fa-var-toilet-paper: \\f71e;\n$fa-var-helmet-safety: \\f807;\n$fa-var-hard-hat: \\f807;\n$fa-var-hat-hard: \\f807;\n$fa-var-eject: \\f052;\n$fa-var-circle-right: \\f35a;\n$fa-var-arrow-alt-circle-right: \\f35a;\n$fa-var-plane-circle-check: \\e555;\n$fa-var-face-rolling-eyes: \\f5a5;\n$fa-var-meh-rolling-eyes: \\f5a5;\n$fa-var-object-group: \\f247;\n$fa-var-chart-line: \\f201;\n$fa-var-line-chart: \\f201;\n$fa-var-mask-ventilator: \\e524;\n$fa-var-arrow-right: \\f061;\n$fa-var-signs-post: \\f277;\n$fa-var-map-signs: \\f277;\n$fa-var-cash-register: \\f788;\n$fa-var-person-circle-question: \\e542;\n$fa-var-h: \\48;\n$fa-var-tarp: \\e57b;\n$fa-var-screwdriver-wrench: \\f7d9;\n$fa-var-tools: \\f7d9;\n$fa-var-arrows-to-eye: \\e4bf;\n$fa-var-plug-circle-bolt: \\e55b;\n$fa-var-heart: \\f004;\n$fa-var-mars-and-venus: \\f224;\n$fa-var-house-user: \\e1b0;\n$fa-var-home-user: \\e1b0;\n$fa-var-dumpster-fire: \\f794;\n$fa-var-house-crack: \\e3b1;\n$fa-var-martini-glass-citrus: \\f561;\n$fa-var-cocktail: \\f561;\n$fa-var-face-surprise: \\f5c2;\n$fa-var-surprise: \\f5c2;\n$fa-var-bottle-water: \\e4c5;\n$fa-var-circle-pause: \\f28b;\n$fa-var-pause-circle: \\f28b;\n$fa-var-toilet-paper-slash: \\e072;\n$fa-var-apple-whole: \\f5d1;\n$fa-var-apple-alt: \\f5d1;\n$fa-var-kitchen-set: \\e51a;\n$fa-var-r: \\52;\n$fa-var-temperature-quarter: \\f2ca;\n$fa-var-temperature-1: \\f2ca;\n$fa-var-thermometer-1: \\f2ca;\n$fa-var-thermometer-quarter: \\f2ca;\n$fa-var-cube: \\f1b2;\n$fa-var-bitcoin-sign: \\e0b4;\n$fa-var-shield-dog: \\e573;\n$fa-var-solar-panel: \\f5ba;\n$fa-var-lock-open: \\f3c1;\n$fa-var-elevator: \\e16d;\n$fa-var-money-bill-transfer: \\e528;\n$fa-var-money-bill-trend-up: \\e529;\n$fa-var-house-flood-water-circle-arrow-right: \\e50f;\n$fa-var-square-poll-horizontal: \\f682;\n$fa-var-poll-h: \\f682;\n$fa-var-circle: \\f111;\n$fa-var-backward-fast: \\f049;\n$fa-var-fast-backward: \\f049;\n$fa-var-recycle: \\f1b8;\n$fa-var-user-astronaut: \\f4fb;\n$fa-var-plane-slash: \\e069;\n$fa-var-trademark: \\f25c;\n$fa-var-basketball: \\f434;\n$fa-var-basketball-ball: \\f434;\n$fa-var-satellite-dish: \\f7c0;\n$fa-var-circle-up: \\f35b;\n$fa-var-arrow-alt-circle-up: \\f35b;\n$fa-var-mobile-screen-button: \\f3cd;\n$fa-var-mobile-alt: \\f3cd;\n$fa-var-volume-high: \\f028;\n$fa-var-volume-up: \\f028;\n$fa-var-users-rays: \\e593;\n$fa-var-wallet: \\f555;\n$fa-var-clipboard-check: \\f46c;\n$fa-var-file-audio: \\f1c7;\n$fa-var-burger: \\f805;\n$fa-var-hamburger: \\f805;\n$fa-var-wrench: \\f0ad;\n$fa-var-bugs: \\e4d0;\n$fa-var-rupee-sign: \\f156;\n$fa-var-rupee: \\f156;\n$fa-var-file-image: \\f1c5;\n$fa-var-circle-question: \\f059;\n$fa-var-question-circle: \\f059;\n$fa-var-plane-departure: \\f5b0;\n$fa-var-handshake-slash: \\e060;\n$fa-var-book-bookmark: \\e0bb;\n$fa-var-code-branch: \\f126;\n$fa-var-hat-cowboy: \\f8c0;\n$fa-var-bridge: \\e4c8;\n$fa-var-phone-flip: \\f879;\n$fa-var-phone-alt: \\f879;\n$fa-var-truck-front: \\e2b7;\n$fa-var-cat: \\f6be;\n$fa-var-anchor-circle-exclamation: \\e4ab;\n$fa-var-truck-field: \\e58d;\n$fa-var-route: \\f4d7;\n$fa-var-clipboard-question: \\e4e3;\n$fa-var-panorama: \\e209;\n$fa-var-comment-medical: \\f7f5;\n$fa-var-teeth-open: \\f62f;\n$fa-var-file-circle-minus: \\e4ed;\n$fa-var-tags: \\f02c;\n$fa-var-wine-glass: \\f4e3;\n$fa-var-forward-fast: \\f050;\n$fa-var-fast-forward: \\f050;\n$fa-var-face-meh-blank: \\f5a4;\n$fa-var-meh-blank: \\f5a4;\n$fa-var-square-parking: \\f540;\n$fa-var-parking: \\f540;\n$fa-var-house-signal: \\e012;\n$fa-var-bars-progress: \\f828;\n$fa-var-tasks-alt: \\f828;\n$fa-var-faucet-drip: \\e006;\n$fa-var-cart-flatbed: \\f474;\n$fa-var-dolly-flatbed: \\f474;\n$fa-var-ban-smoking: \\f54d;\n$fa-var-smoking-ban: \\f54d;\n$fa-var-terminal: \\f120;\n$fa-var-mobile-button: \\f10b;\n$fa-var-house-medical-flag: \\e514;\n$fa-var-basket-shopping: \\f291;\n$fa-var-shopping-basket: \\f291;\n$fa-var-tape: \\f4db;\n$fa-var-bus-simple: \\f55e;\n$fa-var-bus-alt: \\f55e;\n$fa-var-eye: \\f06e;\n$fa-var-face-sad-cry: \\f5b3;\n$fa-var-sad-cry: \\f5b3;\n$fa-var-audio-description: \\f29e;\n$fa-var-person-military-to-person: \\e54c;\n$fa-var-file-shield: \\e4f0;\n$fa-var-user-slash: \\f506;\n$fa-var-pen: \\f304;\n$fa-var-tower-observation: \\e586;\n$fa-var-file-code: \\f1c9;\n$fa-var-signal: \\f012;\n$fa-var-signal-5: \\f012;\n$fa-var-signal-perfect: \\f012;\n$fa-var-bus: \\f207;\n$fa-var-heart-circle-xmark: \\e501;\n$fa-var-house-chimney: \\e3af;\n$fa-var-home-lg: \\e3af;\n$fa-var-window-maximize: \\f2d0;\n$fa-var-face-frown: \\f119;\n$fa-var-frown: \\f119;\n$fa-var-prescription: \\f5b1;\n$fa-var-shop: \\f54f;\n$fa-var-store-alt: \\f54f;\n$fa-var-floppy-disk: \\f0c7;\n$fa-var-save: \\f0c7;\n$fa-var-vihara: \\f6a7;\n$fa-var-scale-unbalanced: \\f515;\n$fa-var-balance-scale-left: \\f515;\n$fa-var-sort-up: \\f0de;\n$fa-var-sort-asc: \\f0de;\n$fa-var-comment-dots: \\f4ad;\n$fa-var-commenting: \\f4ad;\n$fa-var-plant-wilt: \\e5aa;\n$fa-var-diamond: \\f219;\n$fa-var-face-grin-squint: \\f585;\n$fa-var-grin-squint: \\f585;\n$fa-var-hand-holding-dollar: \\f4c0;\n$fa-var-hand-holding-usd: \\f4c0;\n$fa-var-bacterium: \\e05a;\n$fa-var-hand-pointer: \\f25a;\n$fa-var-drum-steelpan: \\f56a;\n$fa-var-hand-scissors: \\f257;\n$fa-var-hands-praying: \\f684;\n$fa-var-praying-hands: \\f684;\n$fa-var-arrow-rotate-right: \\f01e;\n$fa-var-arrow-right-rotate: \\f01e;\n$fa-var-arrow-rotate-forward: \\f01e;\n$fa-var-redo: \\f01e;\n$fa-var-biohazard: \\f780;\n$fa-var-location-crosshairs: \\f601;\n$fa-var-location: \\f601;\n$fa-var-mars-double: \\f227;\n$fa-var-child-dress: \\e59c;\n$fa-var-users-between-lines: \\e591;\n$fa-var-lungs-virus: \\e067;\n$fa-var-face-grin-tears: \\f588;\n$fa-var-grin-tears: \\f588;\n$fa-var-phone: \\f095;\n$fa-var-calendar-xmark: \\f273;\n$fa-var-calendar-times: \\f273;\n$fa-var-child-reaching: \\e59d;\n$fa-var-head-side-virus: \\e064;\n$fa-var-user-gear: \\f4fe;\n$fa-var-user-cog: \\f4fe;\n$fa-var-arrow-up-1-9: \\f163;\n$fa-var-sort-numeric-up: \\f163;\n$fa-var-door-closed: \\f52a;\n$fa-var-shield-virus: \\e06c;\n$fa-var-dice-six: \\f526;\n$fa-var-mosquito-net: \\e52c;\n$fa-var-bridge-water: \\e4ce;\n$fa-var-person-booth: \\f756;\n$fa-var-text-width: \\f035;\n$fa-var-hat-wizard: \\f6e8;\n$fa-var-pen-fancy: \\f5ac;\n$fa-var-person-digging: \\f85e;\n$fa-var-digging: \\f85e;\n$fa-var-trash: \\f1f8;\n$fa-var-gauge-simple: \\f629;\n$fa-var-gauge-simple-med: \\f629;\n$fa-var-tachometer-average: \\f629;\n$fa-var-book-medical: \\f7e6;\n$fa-var-poo: \\f2fe;\n$fa-var-quote-right: \\f10e;\n$fa-var-quote-right-alt: \\f10e;\n$fa-var-shirt: \\f553;\n$fa-var-t-shirt: \\f553;\n$fa-var-tshirt: \\f553;\n$fa-var-cubes: \\f1b3;\n$fa-var-divide: \\f529;\n$fa-var-tenge-sign: \\f7d7;\n$fa-var-tenge: \\f7d7;\n$fa-var-headphones: \\f025;\n$fa-var-hands-holding: \\f4c2;\n$fa-var-hands-clapping: \\e1a8;\n$fa-var-republican: \\f75e;\n$fa-var-arrow-left: \\f060;\n$fa-var-person-circle-xmark: \\e543;\n$fa-var-ruler: \\f545;\n$fa-var-align-left: \\f036;\n$fa-var-dice-d6: \\f6d1;\n$fa-var-restroom: \\f7bd;\n$fa-var-j: \\4a;\n$fa-var-users-viewfinder: \\e595;\n$fa-var-file-video: \\f1c8;\n$fa-var-up-right-from-square: \\f35d;\n$fa-var-external-link-alt: \\f35d;\n$fa-var-table-cells: \\f00a;\n$fa-var-th: \\f00a;\n$fa-var-file-pdf: \\f1c1;\n$fa-var-book-bible: \\f647;\n$fa-var-bible: \\f647;\n$fa-var-o: \\4f;\n$fa-var-suitcase-medical: \\f0fa;\n$fa-var-medkit: \\f0fa;\n$fa-var-user-secret: \\f21b;\n$fa-var-otter: \\f700;\n$fa-var-person-dress: \\f182;\n$fa-var-female: \\f182;\n$fa-var-comment-dollar: \\f651;\n$fa-var-business-time: \\f64a;\n$fa-var-briefcase-clock: \\f64a;\n$fa-var-table-cells-large: \\f009;\n$fa-var-th-large: \\f009;\n$fa-var-book-tanakh: \\f827;\n$fa-var-tanakh: \\f827;\n$fa-var-phone-volume: \\f2a0;\n$fa-var-volume-control-phone: \\f2a0;\n$fa-var-hat-cowboy-side: \\f8c1;\n$fa-var-clipboard-user: \\f7f3;\n$fa-var-child: \\f1ae;\n$fa-var-lira-sign: \\f195;\n$fa-var-satellite: \\f7bf;\n$fa-var-plane-lock: \\e558;\n$fa-var-tag: \\f02b;\n$fa-var-comment: \\f075;\n$fa-var-cake-candles: \\f1fd;\n$fa-var-birthday-cake: \\f1fd;\n$fa-var-cake: \\f1fd;\n$fa-var-envelope: \\f0e0;\n$fa-var-angles-up: \\f102;\n$fa-var-angle-double-up: \\f102;\n$fa-var-paperclip: \\f0c6;\n$fa-var-arrow-right-to-city: \\e4b3;\n$fa-var-ribbon: \\f4d6;\n$fa-var-lungs: \\f604;\n$fa-var-arrow-up-9-1: \\f887;\n$fa-var-sort-numeric-up-alt: \\f887;\n$fa-var-litecoin-sign: \\e1d3;\n$fa-var-border-none: \\f850;\n$fa-var-circle-nodes: \\e4e2;\n$fa-var-parachute-box: \\f4cd;\n$fa-var-indent: \\f03c;\n$fa-var-truck-field-un: \\e58e;\n$fa-var-hourglass: \\f254;\n$fa-var-hourglass-empty: \\f254;\n$fa-var-mountain: \\f6fc;\n$fa-var-user-doctor: \\f0f0;\n$fa-var-user-md: \\f0f0;\n$fa-var-circle-info: \\f05a;\n$fa-var-info-circle: \\f05a;\n$fa-var-cloud-meatball: \\f73b;\n$fa-var-camera: \\f030;\n$fa-var-camera-alt: \\f030;\n$fa-var-square-virus: \\e578;\n$fa-var-meteor: \\f753;\n$fa-var-car-on: \\e4dd;\n$fa-var-sleigh: \\f7cc;\n$fa-var-arrow-down-1-9: \\f162;\n$fa-var-sort-numeric-asc: \\f162;\n$fa-var-sort-numeric-down: \\f162;\n$fa-var-hand-holding-droplet: \\f4c1;\n$fa-var-hand-holding-water: \\f4c1;\n$fa-var-water: \\f773;\n$fa-var-calendar-check: \\f274;\n$fa-var-braille: \\f2a1;\n$fa-var-prescription-bottle-medical: \\f486;\n$fa-var-prescription-bottle-alt: \\f486;\n$fa-var-landmark: \\f66f;\n$fa-var-truck: \\f0d1;\n$fa-var-crosshairs: \\f05b;\n$fa-var-person-cane: \\e53c;\n$fa-var-tent: \\e57d;\n$fa-var-vest-patches: \\e086;\n$fa-var-check-double: \\f560;\n$fa-var-arrow-down-a-z: \\f15d;\n$fa-var-sort-alpha-asc: \\f15d;\n$fa-var-sort-alpha-down: \\f15d;\n$fa-var-money-bill-wheat: \\e52a;\n$fa-var-cookie: \\f563;\n$fa-var-arrow-rotate-left: \\f0e2;\n$fa-var-arrow-left-rotate: \\f0e2;\n$fa-var-arrow-rotate-back: \\f0e2;\n$fa-var-arrow-rotate-backward: \\f0e2;\n$fa-var-undo: \\f0e2;\n$fa-var-hard-drive: \\f0a0;\n$fa-var-hdd: \\f0a0;\n$fa-var-face-grin-squint-tears: \\f586;\n$fa-var-grin-squint-tears: \\f586;\n$fa-var-dumbbell: \\f44b;\n$fa-var-rectangle-list: \\f022;\n$fa-var-list-alt: \\f022;\n$fa-var-tarp-droplet: \\e57c;\n$fa-var-house-medical-circle-check: \\e511;\n$fa-var-person-skiing-nordic: \\f7ca;\n$fa-var-skiing-nordic: \\f7ca;\n$fa-var-calendar-plus: \\f271;\n$fa-var-plane-arrival: \\f5af;\n$fa-var-circle-left: \\f359;\n$fa-var-arrow-alt-circle-left: \\f359;\n$fa-var-train-subway: \\f239;\n$fa-var-subway: \\f239;\n$fa-var-chart-gantt: \\e0e4;\n$fa-var-indian-rupee-sign: \\e1bc;\n$fa-var-indian-rupee: \\e1bc;\n$fa-var-inr: \\e1bc;\n$fa-var-crop-simple: \\f565;\n$fa-var-crop-alt: \\f565;\n$fa-var-money-bill-1: \\f3d1;\n$fa-var-money-bill-alt: \\f3d1;\n$fa-var-left-long: \\f30a;\n$fa-var-long-arrow-alt-left: \\f30a;\n$fa-var-dna: \\f471;\n$fa-var-virus-slash: \\e075;\n$fa-var-minus: \\f068;\n$fa-var-subtract: \\f068;\n$fa-var-chess: \\f439;\n$fa-var-arrow-left-long: \\f177;\n$fa-var-long-arrow-left: \\f177;\n$fa-var-plug-circle-check: \\e55c;\n$fa-var-street-view: \\f21d;\n$fa-var-franc-sign: \\e18f;\n$fa-var-volume-off: \\f026;\n$fa-var-hands-asl-interpreting: \\f2a3;\n$fa-var-american-sign-language-interpreting: \\f2a3;\n$fa-var-asl-interpreting: \\f2a3;\n$fa-var-hands-american-sign-language-interpreting: \\f2a3;\n$fa-var-gear: \\f013;\n$fa-var-cog: \\f013;\n$fa-var-droplet-slash: \\f5c7;\n$fa-var-tint-slash: \\f5c7;\n$fa-var-mosque: \\f678;\n$fa-var-mosquito: \\e52b;\n$fa-var-star-of-david: \\f69a;\n$fa-var-person-military-rifle: \\e54b;\n$fa-var-cart-shopping: \\f07a;\n$fa-var-shopping-cart: \\f07a;\n$fa-var-vials: \\f493;\n$fa-var-plug-circle-plus: \\e55f;\n$fa-var-place-of-worship: \\f67f;\n$fa-var-grip-vertical: \\f58e;\n$fa-var-arrow-turn-up: \\f148;\n$fa-var-level-up: \\f148;\n$fa-var-u: \\55;\n$fa-var-square-root-variable: \\f698;\n$fa-var-square-root-alt: \\f698;\n$fa-var-clock: \\f017;\n$fa-var-clock-four: \\f017;\n$fa-var-backward-step: \\f048;\n$fa-var-step-backward: \\f048;\n$fa-var-pallet: \\f482;\n$fa-var-faucet: \\e005;\n$fa-var-baseball-bat-ball: \\f432;\n$fa-var-s: \\53;\n$fa-var-timeline: \\e29c;\n$fa-var-keyboard: \\f11c;\n$fa-var-caret-down: \\f0d7;\n$fa-var-house-chimney-medical: \\f7f2;\n$fa-var-clinic-medical: \\f7f2;\n$fa-var-temperature-three-quarters: \\f2c8;\n$fa-var-temperature-3: \\f2c8;\n$fa-var-thermometer-3: \\f2c8;\n$fa-var-thermometer-three-quarters: \\f2c8;\n$fa-var-mobile-screen: \\f3cf;\n$fa-var-mobile-android-alt: \\f3cf;\n$fa-var-plane-up: \\e22d;\n$fa-var-piggy-bank: \\f4d3;\n$fa-var-battery-half: \\f242;\n$fa-var-battery-3: \\f242;\n$fa-var-mountain-city: \\e52e;\n$fa-var-coins: \\f51e;\n$fa-var-khanda: \\f66d;\n$fa-var-sliders: \\f1de;\n$fa-var-sliders-h: \\f1de;\n$fa-var-folder-tree: \\f802;\n$fa-var-network-wired: \\f6ff;\n$fa-var-map-pin: \\f276;\n$fa-var-hamsa: \\f665;\n$fa-var-cent-sign: \\e3f5;\n$fa-var-flask: \\f0c3;\n$fa-var-person-pregnant: \\e31e;\n$fa-var-wand-sparkles: \\f72b;\n$fa-var-ellipsis-vertical: \\f142;\n$fa-var-ellipsis-v: \\f142;\n$fa-var-ticket: \\f145;\n$fa-var-power-off: \\f011;\n$fa-var-right-long: \\f30b;\n$fa-var-long-arrow-alt-right: \\f30b;\n$fa-var-flag-usa: \\f74d;\n$fa-var-laptop-file: \\e51d;\n$fa-var-tty: \\f1e4;\n$fa-var-teletype: \\f1e4;\n$fa-var-diagram-next: \\e476;\n$fa-var-person-rifle: \\e54e;\n$fa-var-house-medical-circle-exclamation: \\e512;\n$fa-var-closed-captioning: \\f20a;\n$fa-var-person-hiking: \\f6ec;\n$fa-var-hiking: \\f6ec;\n$fa-var-venus-double: \\f226;\n$fa-var-images: \\f302;\n$fa-var-calculator: \\f1ec;\n$fa-var-people-pulling: \\e535;\n$fa-var-n: \\4e;\n$fa-var-cable-car: \\f7da;\n$fa-var-tram: \\f7da;\n$fa-var-cloud-rain: \\f73d;\n$fa-var-building-circle-xmark: \\e4d4;\n$fa-var-ship: \\f21a;\n$fa-var-arrows-down-to-line: \\e4b8;\n$fa-var-download: \\f019;\n$fa-var-face-grin: \\f580;\n$fa-var-grin: \\f580;\n$fa-var-delete-left: \\f55a;\n$fa-var-backspace: \\f55a;\n$fa-var-eye-dropper: \\f1fb;\n$fa-var-eye-dropper-empty: \\f1fb;\n$fa-var-eyedropper: \\f1fb;\n$fa-var-file-circle-check: \\e5a0;\n$fa-var-forward: \\f04e;\n$fa-var-mobile: \\f3ce;\n$fa-var-mobile-android: \\f3ce;\n$fa-var-mobile-phone: \\f3ce;\n$fa-var-face-meh: \\f11a;\n$fa-var-meh: \\f11a;\n$fa-var-align-center: \\f037;\n$fa-var-book-skull: \\f6b7;\n$fa-var-book-dead: \\f6b7;\n$fa-var-id-card: \\f2c2;\n$fa-var-drivers-license: \\f2c2;\n$fa-var-outdent: \\f03b;\n$fa-var-dedent: \\f03b;\n$fa-var-heart-circle-exclamation: \\e4fe;\n$fa-var-house: \\f015;\n$fa-var-home: \\f015;\n$fa-var-home-alt: \\f015;\n$fa-var-home-lg-alt: \\f015;\n$fa-var-calendar-week: \\f784;\n$fa-var-laptop-medical: \\f812;\n$fa-var-b: \\42;\n$fa-var-file-medical: \\f477;\n$fa-var-dice-one: \\f525;\n$fa-var-kiwi-bird: \\f535;\n$fa-var-arrow-right-arrow-left: \\f0ec;\n$fa-var-exchange: \\f0ec;\n$fa-var-rotate-right: \\f2f9;\n$fa-var-redo-alt: \\f2f9;\n$fa-var-rotate-forward: \\f2f9;\n$fa-var-utensils: \\f2e7;\n$fa-var-cutlery: \\f2e7;\n$fa-var-arrow-up-wide-short: \\f161;\n$fa-var-sort-amount-up: \\f161;\n$fa-var-mill-sign: \\e1ed;\n$fa-var-bowl-rice: \\e2eb;\n$fa-var-skull: \\f54c;\n$fa-var-tower-broadcast: \\f519;\n$fa-var-broadcast-tower: \\f519;\n$fa-var-truck-pickup: \\f63c;\n$fa-var-up-long: \\f30c;\n$fa-var-long-arrow-alt-up: \\f30c;\n$fa-var-stop: \\f04d;\n$fa-var-code-merge: \\f387;\n$fa-var-upload: \\f093;\n$fa-var-hurricane: \\f751;\n$fa-var-mound: \\e52d;\n$fa-var-toilet-portable: \\e583;\n$fa-var-compact-disc: \\f51f;\n$fa-var-file-arrow-down: \\f56d;\n$fa-var-file-download: \\f56d;\n$fa-var-caravan: \\f8ff;\n$fa-var-shield-cat: \\e572;\n$fa-var-bolt: \\f0e7;\n$fa-var-zap: \\f0e7;\n$fa-var-glass-water: \\e4f4;\n$fa-var-oil-well: \\e532;\n$fa-var-vault: \\e2c5;\n$fa-var-mars: \\f222;\n$fa-var-toilet: \\f7d8;\n$fa-var-plane-circle-xmark: \\e557;\n$fa-var-yen-sign: \\f157;\n$fa-var-cny: \\f157;\n$fa-var-jpy: \\f157;\n$fa-var-rmb: \\f157;\n$fa-var-yen: \\f157;\n$fa-var-ruble-sign: \\f158;\n$fa-var-rouble: \\f158;\n$fa-var-rub: \\f158;\n$fa-var-ruble: \\f158;\n$fa-var-sun: \\f185;\n$fa-var-guitar: \\f7a6;\n$fa-var-face-laugh-wink: \\f59c;\n$fa-var-laugh-wink: \\f59c;\n$fa-var-horse-head: \\f7ab;\n$fa-var-bore-hole: \\e4c3;\n$fa-var-industry: \\f275;\n$fa-var-circle-down: \\f358;\n$fa-var-arrow-alt-circle-down: \\f358;\n$fa-var-arrows-turn-to-dots: \\e4c1;\n$fa-var-florin-sign: \\e184;\n$fa-var-arrow-down-short-wide: \\f884;\n$fa-var-sort-amount-desc: \\f884;\n$fa-var-sort-amount-down-alt: \\f884;\n$fa-var-less-than: \\3c;\n$fa-var-angle-down: \\f107;\n$fa-var-car-tunnel: \\e4de;\n$fa-var-head-side-cough: \\e061;\n$fa-var-grip-lines: \\f7a4;\n$fa-var-thumbs-down: \\f165;\n$fa-var-user-lock: \\f502;\n$fa-var-arrow-right-long: \\f178;\n$fa-var-long-arrow-right: \\f178;\n$fa-var-anchor-circle-xmark: \\e4ac;\n$fa-var-ellipsis: \\f141;\n$fa-var-ellipsis-h: \\f141;\n$fa-var-chess-pawn: \\f443;\n$fa-var-kit-medical: \\f479;\n$fa-var-first-aid: \\f479;\n$fa-var-person-through-window: \\e5a9;\n$fa-var-toolbox: \\f552;\n$fa-var-hands-holding-circle: \\e4fb;\n$fa-var-bug: \\f188;\n$fa-var-credit-card: \\f09d;\n$fa-var-credit-card-alt: \\f09d;\n$fa-var-car: \\f1b9;\n$fa-var-automobile: \\f1b9;\n$fa-var-hand-holding-hand: \\e4f7;\n$fa-var-book-open-reader: \\f5da;\n$fa-var-book-reader: \\f5da;\n$fa-var-mountain-sun: \\e52f;\n$fa-var-arrows-left-right-to-line: \\e4ba;\n$fa-var-dice-d20: \\f6cf;\n$fa-var-truck-droplet: \\e58c;\n$fa-var-file-circle-xmark: \\e5a1;\n$fa-var-temperature-arrow-up: \\e040;\n$fa-var-temperature-up: \\e040;\n$fa-var-medal: \\f5a2;\n$fa-var-bed: \\f236;\n$fa-var-square-h: \\f0fd;\n$fa-var-h-square: \\f0fd;\n$fa-var-podcast: \\f2ce;\n$fa-var-temperature-full: \\f2c7;\n$fa-var-temperature-4: \\f2c7;\n$fa-var-thermometer-4: \\f2c7;\n$fa-var-thermometer-full: \\f2c7;\n$fa-var-bell: \\f0f3;\n$fa-var-superscript: \\f12b;\n$fa-var-plug-circle-xmark: \\e560;\n$fa-var-star-of-life: \\f621;\n$fa-var-phone-slash: \\f3dd;\n$fa-var-paint-roller: \\f5aa;\n$fa-var-handshake-angle: \\f4c4;\n$fa-var-hands-helping: \\f4c4;\n$fa-var-location-dot: \\f3c5;\n$fa-var-map-marker-alt: \\f3c5;\n$fa-var-file: \\f15b;\n$fa-var-greater-than: \\3e;\n$fa-var-person-swimming: \\f5c4;\n$fa-var-swimmer: \\f5c4;\n$fa-var-arrow-down: \\f063;\n$fa-var-droplet: \\f043;\n$fa-var-tint: \\f043;\n$fa-var-eraser: \\f12d;\n$fa-var-earth-americas: \\f57d;\n$fa-var-earth: \\f57d;\n$fa-var-earth-america: \\f57d;\n$fa-var-globe-americas: \\f57d;\n$fa-var-person-burst: \\e53b;\n$fa-var-dove: \\f4ba;\n$fa-var-battery-empty: \\f244;\n$fa-var-battery-0: \\f244;\n$fa-var-socks: \\f696;\n$fa-var-inbox: \\f01c;\n$fa-var-section: \\e447;\n$fa-var-gauge-high: \\f625;\n$fa-var-tachometer-alt: \\f625;\n$fa-var-tachometer-alt-fast: \\f625;\n$fa-var-envelope-open-text: \\f658;\n$fa-var-hospital: \\f0f8;\n$fa-var-hospital-alt: \\f0f8;\n$fa-var-hospital-wide: \\f0f8;\n$fa-var-wine-bottle: \\f72f;\n$fa-var-chess-rook: \\f447;\n$fa-var-bars-staggered: \\f550;\n$fa-var-reorder: \\f550;\n$fa-var-stream: \\f550;\n$fa-var-dharmachakra: \\f655;\n$fa-var-hotdog: \\f80f;\n$fa-var-person-walking-with-cane: \\f29d;\n$fa-var-blind: \\f29d;\n$fa-var-drum: \\f569;\n$fa-var-ice-cream: \\f810;\n$fa-var-heart-circle-bolt: \\e4fc;\n$fa-var-fax: \\f1ac;\n$fa-var-paragraph: \\f1dd;\n$fa-var-check-to-slot: \\f772;\n$fa-var-vote-yea: \\f772;\n$fa-var-star-half: \\f089;\n$fa-var-boxes-stacked: \\f468;\n$fa-var-boxes: \\f468;\n$fa-var-boxes-alt: \\f468;\n$fa-var-link: \\f0c1;\n$fa-var-chain: \\f0c1;\n$fa-var-ear-listen: \\f2a2;\n$fa-var-assistive-listening-systems: \\f2a2;\n$fa-var-tree-city: \\e587;\n$fa-var-play: \\f04b;\n$fa-var-font: \\f031;\n$fa-var-table-cells-row-lock: \\e67a;\n$fa-var-rupiah-sign: \\e23d;\n$fa-var-magnifying-glass: \\f002;\n$fa-var-search: \\f002;\n$fa-var-table-tennis-paddle-ball: \\f45d;\n$fa-var-ping-pong-paddle-ball: \\f45d;\n$fa-var-table-tennis: \\f45d;\n$fa-var-person-dots-from-line: \\f470;\n$fa-var-diagnoses: \\f470;\n$fa-var-trash-can-arrow-up: \\f82a;\n$fa-var-trash-restore-alt: \\f82a;\n$fa-var-naira-sign: \\e1f6;\n$fa-var-cart-arrow-down: \\f218;\n$fa-var-walkie-talkie: \\f8ef;\n$fa-var-file-pen: \\f31c;\n$fa-var-file-edit: \\f31c;\n$fa-var-receipt: \\f543;\n$fa-var-square-pen: \\f14b;\n$fa-var-pen-square: \\f14b;\n$fa-var-pencil-square: \\f14b;\n$fa-var-suitcase-rolling: \\f5c1;\n$fa-var-person-circle-exclamation: \\e53f;\n$fa-var-chevron-down: \\f078;\n$fa-var-battery-full: \\f240;\n$fa-var-battery: \\f240;\n$fa-var-battery-5: \\f240;\n$fa-var-skull-crossbones: \\f714;\n$fa-var-code-compare: \\e13a;\n$fa-var-list-ul: \\f0ca;\n$fa-var-list-dots: \\f0ca;\n$fa-var-school-lock: \\e56f;\n$fa-var-tower-cell: \\e585;\n$fa-var-down-long: \\f309;\n$fa-var-long-arrow-alt-down: \\f309;\n$fa-var-ranking-star: \\e561;\n$fa-var-chess-king: \\f43f;\n$fa-var-person-harassing: \\e549;\n$fa-var-brazilian-real-sign: \\e46c;\n$fa-var-landmark-dome: \\f752;\n$fa-var-landmark-alt: \\f752;\n$fa-var-arrow-up: \\f062;\n$fa-var-tv: \\f26c;\n$fa-var-television: \\f26c;\n$fa-var-tv-alt: \\f26c;\n$fa-var-shrimp: \\e448;\n$fa-var-list-check: \\f0ae;\n$fa-var-tasks: \\f0ae;\n$fa-var-jug-detergent: \\e519;\n$fa-var-circle-user: \\f2bd;\n$fa-var-user-circle: \\f2bd;\n$fa-var-user-shield: \\f505;\n$fa-var-wind: \\f72e;\n$fa-var-car-burst: \\f5e1;\n$fa-var-car-crash: \\f5e1;\n$fa-var-y: \\59;\n$fa-var-person-snowboarding: \\f7ce;\n$fa-var-snowboarding: \\f7ce;\n$fa-var-truck-fast: \\f48b;\n$fa-var-shipping-fast: \\f48b;\n$fa-var-fish: \\f578;\n$fa-var-user-graduate: \\f501;\n$fa-var-circle-half-stroke: \\f042;\n$fa-var-adjust: \\f042;\n$fa-var-clapperboard: \\e131;\n$fa-var-circle-radiation: \\f7ba;\n$fa-var-radiation-alt: \\f7ba;\n$fa-var-baseball: \\f433;\n$fa-var-baseball-ball: \\f433;\n$fa-var-jet-fighter-up: \\e518;\n$fa-var-diagram-project: \\f542;\n$fa-var-project-diagram: \\f542;\n$fa-var-copy: \\f0c5;\n$fa-var-volume-xmark: \\f6a9;\n$fa-var-volume-mute: \\f6a9;\n$fa-var-volume-times: \\f6a9;\n$fa-var-hand-sparkles: \\e05d;\n$fa-var-grip: \\f58d;\n$fa-var-grip-horizontal: \\f58d;\n$fa-var-share-from-square: \\f14d;\n$fa-var-share-square: \\f14d;\n$fa-var-child-combatant: \\e4e0;\n$fa-var-child-rifle: \\e4e0;\n$fa-var-gun: \\e19b;\n$fa-var-square-phone: \\f098;\n$fa-var-phone-square: \\f098;\n$fa-var-plus: \\2b;\n$fa-var-add: \\2b;\n$fa-var-expand: \\f065;\n$fa-var-computer: \\e4e5;\n$fa-var-xmark: \\f00d;\n$fa-var-close: \\f00d;\n$fa-var-multiply: \\f00d;\n$fa-var-remove: \\f00d;\n$fa-var-times: \\f00d;\n$fa-var-arrows-up-down-left-right: \\f047;\n$fa-var-arrows: \\f047;\n$fa-var-chalkboard-user: \\f51c;\n$fa-var-chalkboard-teacher: \\f51c;\n$fa-var-peso-sign: \\e222;\n$fa-var-building-shield: \\e4d8;\n$fa-var-baby: \\f77c;\n$fa-var-users-line: \\e592;\n$fa-var-quote-left: \\f10d;\n$fa-var-quote-left-alt: \\f10d;\n$fa-var-tractor: \\f722;\n$fa-var-trash-arrow-up: \\f829;\n$fa-var-trash-restore: \\f829;\n$fa-var-arrow-down-up-lock: \\e4b0;\n$fa-var-lines-leaning: \\e51e;\n$fa-var-ruler-combined: \\f546;\n$fa-var-copyright: \\f1f9;\n$fa-var-equals: \\3d;\n$fa-var-blender: \\f517;\n$fa-var-teeth: \\f62e;\n$fa-var-shekel-sign: \\f20b;\n$fa-var-ils: \\f20b;\n$fa-var-shekel: \\f20b;\n$fa-var-sheqel: \\f20b;\n$fa-var-sheqel-sign: \\f20b;\n$fa-var-map: \\f279;\n$fa-var-rocket: \\f135;\n$fa-var-photo-film: \\f87c;\n$fa-var-photo-video: \\f87c;\n$fa-var-folder-minus: \\f65d;\n$fa-var-store: \\f54e;\n$fa-var-arrow-trend-up: \\e098;\n$fa-var-plug-circle-minus: \\e55e;\n$fa-var-sign-hanging: \\f4d9;\n$fa-var-sign: \\f4d9;\n$fa-var-bezier-curve: \\f55b;\n$fa-var-bell-slash: \\f1f6;\n$fa-var-tablet: \\f3fb;\n$fa-var-tablet-android: \\f3fb;\n$fa-var-school-flag: \\e56e;\n$fa-var-fill: \\f575;\n$fa-var-angle-up: \\f106;\n$fa-var-drumstick-bite: \\f6d7;\n$fa-var-holly-berry: \\f7aa;\n$fa-var-chevron-left: \\f053;\n$fa-var-bacteria: \\e059;\n$fa-var-hand-lizard: \\f258;\n$fa-var-notdef: \\e1fe;\n$fa-var-disease: \\f7fa;\n$fa-var-briefcase-medical: \\f469;\n$fa-var-genderless: \\f22d;\n$fa-var-chevron-right: \\f054;\n$fa-var-retweet: \\f079;\n$fa-var-car-rear: \\f5de;\n$fa-var-car-alt: \\f5de;\n$fa-var-pump-soap: \\e06b;\n$fa-var-video-slash: \\f4e2;\n$fa-var-battery-quarter: \\f243;\n$fa-var-battery-2: \\f243;\n$fa-var-radio: \\f8d7;\n$fa-var-baby-carriage: \\f77d;\n$fa-var-carriage-baby: \\f77d;\n$fa-var-traffic-light: \\f637;\n$fa-var-thermometer: \\f491;\n$fa-var-vr-cardboard: \\f729;\n$fa-var-hand-middle-finger: \\f806;\n$fa-var-percent: \\25;\n$fa-var-percentage: \\25;\n$fa-var-truck-moving: \\f4df;\n$fa-var-glass-water-droplet: \\e4f5;\n$fa-var-display: \\e163;\n$fa-var-face-smile: \\f118;\n$fa-var-smile: \\f118;\n$fa-var-thumbtack: \\f08d;\n$fa-var-thumb-tack: \\f08d;\n$fa-var-trophy: \\f091;\n$fa-var-person-praying: \\f683;\n$fa-var-pray: \\f683;\n$fa-var-hammer: \\f6e3;\n$fa-var-hand-peace: \\f25b;\n$fa-var-rotate: \\f2f1;\n$fa-var-sync-alt: \\f2f1;\n$fa-var-spinner: \\f110;\n$fa-var-robot: \\f544;\n$fa-var-peace: \\f67c;\n$fa-var-gears: \\f085;\n$fa-var-cogs: \\f085;\n$fa-var-warehouse: \\f494;\n$fa-var-arrow-up-right-dots: \\e4b7;\n$fa-var-splotch: \\f5bc;\n$fa-var-face-grin-hearts: \\f584;\n$fa-var-grin-hearts: \\f584;\n$fa-var-dice-four: \\f524;\n$fa-var-sim-card: \\f7c4;\n$fa-var-transgender: \\f225;\n$fa-var-transgender-alt: \\f225;\n$fa-var-mercury: \\f223;\n$fa-var-arrow-turn-down: \\f149;\n$fa-var-level-down: \\f149;\n$fa-var-person-falling-burst: \\e547;\n$fa-var-award: \\f559;\n$fa-var-ticket-simple: \\f3ff;\n$fa-var-ticket-alt: \\f3ff;\n$fa-var-building: \\f1ad;\n$fa-var-angles-left: \\f100;\n$fa-var-angle-double-left: \\f100;\n$fa-var-qrcode: \\f029;\n$fa-var-clock-rotate-left: \\f1da;\n$fa-var-history: \\f1da;\n$fa-var-face-grin-beam-sweat: \\f583;\n$fa-var-grin-beam-sweat: \\f583;\n$fa-var-file-export: \\f56e;\n$fa-var-arrow-right-from-file: \\f56e;\n$fa-var-shield: 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\\f7cd;\n$fa-var-book: \\f02d;\n$fa-var-user-plus: \\f234;\n$fa-var-check: \\f00c;\n$fa-var-battery-three-quarters: \\f241;\n$fa-var-battery-4: \\f241;\n$fa-var-house-circle-check: \\e509;\n$fa-var-angle-left: \\f104;\n$fa-var-diagram-successor: \\e47a;\n$fa-var-truck-arrow-right: \\e58b;\n$fa-var-arrows-split-up-and-left: \\e4bc;\n$fa-var-hand-fist: \\f6de;\n$fa-var-fist-raised: \\f6de;\n$fa-var-cloud-moon: \\f6c3;\n$fa-var-briefcase: \\f0b1;\n$fa-var-person-falling: \\e546;\n$fa-var-image-portrait: \\f3e0;\n$fa-var-portrait: \\f3e0;\n$fa-var-user-tag: \\f507;\n$fa-var-rug: \\e569;\n$fa-var-earth-europe: \\f7a2;\n$fa-var-globe-europe: \\f7a2;\n$fa-var-cart-flatbed-suitcase: \\f59d;\n$fa-var-luggage-cart: \\f59d;\n$fa-var-rectangle-xmark: \\f410;\n$fa-var-rectangle-times: \\f410;\n$fa-var-times-rectangle: \\f410;\n$fa-var-window-close: \\f410;\n$fa-var-baht-sign: \\e0ac;\n$fa-var-book-open: \\f518;\n$fa-var-book-journal-whills: \\f66a;\n$fa-var-journal-whills: \\f66a;\n$fa-var-handcuffs: \\e4f8;\n$fa-var-triangle-exclamation: \\f071;\n$fa-var-exclamation-triangle: \\f071;\n$fa-var-warning: \\f071;\n$fa-var-database: \\f1c0;\n$fa-var-share: \\f064;\n$fa-var-mail-forward: \\f064;\n$fa-var-bottle-droplet: \\e4c4;\n$fa-var-mask-face: \\e1d7;\n$fa-var-hill-rockslide: \\e508;\n$fa-var-right-left: \\f362;\n$fa-var-exchange-alt: \\f362;\n$fa-var-paper-plane: \\f1d8;\n$fa-var-road-circle-exclamation: \\e565;\n$fa-var-dungeon: \\f6d9;\n$fa-var-align-right: \\f038;\n$fa-var-money-bill-1-wave: \\f53b;\n$fa-var-money-bill-wave-alt: \\f53b;\n$fa-var-life-ring: \\f1cd;\n$fa-var-hands: \\f2a7;\n$fa-var-sign-language: \\f2a7;\n$fa-var-signing: \\f2a7;\n$fa-var-calendar-day: \\f783;\n$fa-var-water-ladder: \\f5c5;\n$fa-var-ladder-water: \\f5c5;\n$fa-var-swimming-pool: \\f5c5;\n$fa-var-arrows-up-down: \\f07d;\n$fa-var-arrows-v: \\f07d;\n$fa-var-face-grimace: \\f57f;\n$fa-var-grimace: \\f57f;\n$fa-var-wheelchair-move: \\e2ce;\n$fa-var-wheelchair-alt: \\e2ce;\n$fa-var-turn-down: \\f3be;\n$fa-var-level-down-alt: \\f3be;\n$fa-var-person-walking-arrow-right: \\e552;\n$fa-var-square-envelope: \\f199;\n$fa-var-envelope-square: \\f199;\n$fa-var-dice: \\f522;\n$fa-var-bowling-ball: \\f436;\n$fa-var-brain: \\f5dc;\n$fa-var-bandage: \\f462;\n$fa-var-band-aid: \\f462;\n$fa-var-calendar-minus: \\f272;\n$fa-var-circle-xmark: \\f057;\n$fa-var-times-circle: \\f057;\n$fa-var-xmark-circle: \\f057;\n$fa-var-gifts: \\f79c;\n$fa-var-hotel: \\f594;\n$fa-var-earth-asia: \\f57e;\n$fa-var-globe-asia: \\f57e;\n$fa-var-id-card-clip: \\f47f;\n$fa-var-id-card-alt: \\f47f;\n$fa-var-magnifying-glass-plus: \\f00e;\n$fa-var-search-plus: \\f00e;\n$fa-var-thumbs-up: \\f164;\n$fa-var-user-clock: \\f4fd;\n$fa-var-hand-dots: \\f461;\n$fa-var-allergies: \\f461;\n$fa-var-file-invoice: \\f570;\n$fa-var-window-minimize: \\f2d1;\n$fa-var-mug-saucer: \\f0f4;\n$fa-var-coffee: \\f0f4;\n$fa-var-brush: \\f55d;\n$fa-var-mask: \\f6fa;\n$fa-var-magnifying-glass-minus: \\f010;\n$fa-var-search-minus: \\f010;\n$fa-var-ruler-vertical: \\f548;\n$fa-var-user-large: \\f406;\n$fa-var-user-alt: \\f406;\n$fa-var-train-tram: \\e5b4;\n$fa-var-user-nurse: \\f82f;\n$fa-var-syringe: \\f48e;\n$fa-var-cloud-sun: \\f6c4;\n$fa-var-stopwatch-20: \\e06f;\n$fa-var-square-full: \\f45c;\n$fa-var-magnet: \\f076;\n$fa-var-jar: \\e516;\n$fa-var-note-sticky: \\f249;\n$fa-var-sticky-note: \\f249;\n$fa-var-bug-slash: \\e490;\n$fa-var-arrow-up-from-water-pump: \\e4b6;\n$fa-var-bone: \\f5d7;\n$fa-var-user-injured: \\f728;\n$fa-var-face-sad-tear: \\f5b4;\n$fa-var-sad-tear: \\f5b4;\n$fa-var-plane: \\f072;\n$fa-var-tent-arrows-down: \\e581;\n$fa-var-exclamation: \\21;\n$fa-var-arrows-spin: \\e4bb;\n$fa-var-print: \\f02f;\n$fa-var-turkish-lira-sign: \\e2bb;\n$fa-var-try: \\e2bb;\n$fa-var-turkish-lira: \\e2bb;\n$fa-var-dollar-sign: \\24;\n$fa-var-dollar: \\24;\n$fa-var-usd: \\24;\n$fa-var-x: \\58;\n$fa-var-magnifying-glass-dollar: \\f688;\n$fa-var-search-dollar: \\f688;\n$fa-var-users-gear: \\f509;\n$fa-var-users-cog: \\f509;\n$fa-var-person-military-pointing: \\e54a;\n$fa-var-building-columns: \\f19c;\n$fa-var-bank: \\f19c;\n$fa-var-institution: \\f19c;\n$fa-var-museum: \\f19c;\n$fa-var-university: \\f19c;\n$fa-var-umbrella: \\f0e9;\n$fa-var-trowel: \\e589;\n$fa-var-d: \\44;\n$fa-var-stapler: \\e5af;\n$fa-var-masks-theater: \\f630;\n$fa-var-theater-masks: \\f630;\n$fa-var-kip-sign: \\e1c4;\n$fa-var-hand-point-left: \\f0a5;\n$fa-var-handshake-simple: \\f4c6;\n$fa-var-handshake-alt: \\f4c6;\n$fa-var-jet-fighter: \\f0fb;\n$fa-var-fighter-jet: \\f0fb;\n$fa-var-square-share-nodes: \\f1e1;\n$fa-var-share-alt-square: \\f1e1;\n$fa-var-barcode: \\f02a;\n$fa-var-plus-minus: \\e43c;\n$fa-var-video: \\f03d;\n$fa-var-video-camera: \\f03d;\n$fa-var-graduation-cap: \\f19d;\n$fa-var-mortar-board: \\f19d;\n$fa-var-hand-holding-medical: \\e05c;\n$fa-var-person-circle-check: \\e53e;\n$fa-var-turn-up: \\f3bf;\n$fa-var-level-up-alt: \\f3bf;\n\n$fa-var-monero: \\f3d0;\n$fa-var-hooli: \\f427;\n$fa-var-yelp: \\f1e9;\n$fa-var-cc-visa: \\f1f0;\n$fa-var-lastfm: \\f202;\n$fa-var-shopware: \\f5b5;\n$fa-var-creative-commons-nc: \\f4e8;\n$fa-var-aws: \\f375;\n$fa-var-redhat: \\f7bc;\n$fa-var-yoast: \\f2b1;\n$fa-var-cloudflare: \\e07d;\n$fa-var-ups: \\f7e0;\n$fa-var-pixiv: \\e640;\n$fa-var-wpexplorer: \\f2de;\n$fa-var-dyalog: \\f399;\n$fa-var-bity: \\f37a;\n$fa-var-stackpath: \\f842;\n$fa-var-buysellads: \\f20d;\n$fa-var-first-order: \\f2b0;\n$fa-var-modx: \\f285;\n$fa-var-guilded: \\e07e;\n$fa-var-vnv: \\f40b;\n$fa-var-square-js: \\f3b9;\n$fa-var-js-square: \\f3b9;\n$fa-var-microsoft: \\f3ca;\n$fa-var-qq: \\f1d6;\n$fa-var-orcid: \\f8d2;\n$fa-var-java: \\f4e4;\n$fa-var-invision: \\f7b0;\n$fa-var-creative-commons-pd-alt: \\f4ed;\n$fa-var-centercode: \\f380;\n$fa-var-glide-g: \\f2a6;\n$fa-var-drupal: \\f1a9;\n$fa-var-jxl: \\e67b;\n$fa-var-hire-a-helper: \\f3b0;\n$fa-var-creative-commons-by: \\f4e7;\n$fa-var-unity: \\e049;\n$fa-var-whmcs: \\f40d;\n$fa-var-rocketchat: \\f3e8;\n$fa-var-vk: \\f189;\n$fa-var-untappd: \\f405;\n$fa-var-mailchimp: \\f59e;\n$fa-var-css3-alt: \\f38b;\n$fa-var-square-reddit: \\f1a2;\n$fa-var-reddit-square: \\f1a2;\n$fa-var-vimeo-v: \\f27d;\n$fa-var-contao: \\f26d;\n$fa-var-square-font-awesome: \\e5ad;\n$fa-var-deskpro: \\f38f;\n$fa-var-brave: \\e63c;\n$fa-var-sistrix: \\f3ee;\n$fa-var-square-instagram: \\e055;\n$fa-var-instagram-square: \\e055;\n$fa-var-battle-net: \\f835;\n$fa-var-the-red-yeti: \\f69d;\n$fa-var-square-hacker-news: \\f3af;\n$fa-var-hacker-news-square: \\f3af;\n$fa-var-edge: \\f282;\n$fa-var-threads: \\e618;\n$fa-var-napster: \\f3d2;\n$fa-var-square-snapchat: \\f2ad;\n$fa-var-snapchat-square: \\f2ad;\n$fa-var-google-plus-g: \\f0d5;\n$fa-var-artstation: \\f77a;\n$fa-var-markdown: \\f60f;\n$fa-var-sourcetree: \\f7d3;\n$fa-var-google-plus: \\f2b3;\n$fa-var-diaspora: \\f791;\n$fa-var-foursquare: \\f180;\n$fa-var-stack-overflow: \\f16c;\n$fa-var-github-alt: \\f113;\n$fa-var-phoenix-squadron: \\f511;\n$fa-var-pagelines: \\f18c;\n$fa-var-algolia: \\f36c;\n$fa-var-red-river: \\f3e3;\n$fa-var-creative-commons-sa: \\f4ef;\n$fa-var-safari: \\f267;\n$fa-var-google: \\f1a0;\n$fa-var-square-font-awesome-stroke: \\f35c;\n$fa-var-font-awesome-alt: \\f35c;\n$fa-var-atlassian: \\f77b;\n$fa-var-linkedin-in: \\f0e1;\n$fa-var-digital-ocean: \\f391;\n$fa-var-nimblr: \\f5a8;\n$fa-var-chromecast: \\f838;\n$fa-var-evernote: \\f839;\n$fa-var-hacker-news: \\f1d4;\n$fa-var-creative-commons-sampling: \\f4f0;\n$fa-var-adversal: \\f36a;\n$fa-var-creative-commons: \\f25e;\n$fa-var-watchman-monitoring: \\e087;\n$fa-var-fonticons: \\f280;\n$fa-var-weixin: \\f1d7;\n$fa-var-shirtsinbulk: \\f214;\n$fa-var-codepen: \\f1cb;\n$fa-var-git-alt: \\f841;\n$fa-var-lyft: \\f3c3;\n$fa-var-rev: \\f5b2;\n$fa-var-windows: \\f17a;\n$fa-var-wizards-of-the-coast: \\f730;\n$fa-var-square-viadeo: \\f2aa;\n$fa-var-viadeo-square: \\f2aa;\n$fa-var-meetup: \\f2e0;\n$fa-var-centos: \\f789;\n$fa-var-adn: \\f170;\n$fa-var-cloudsmith: \\f384;\n$fa-var-opensuse: \\e62b;\n$fa-var-pied-piper-alt: \\f1a8;\n$fa-var-square-dribbble: \\f397;\n$fa-var-dribbble-square: \\f397;\n$fa-var-codiepie: \\f284;\n$fa-var-node: \\f419;\n$fa-var-mix: \\f3cb;\n$fa-var-steam: \\f1b6;\n$fa-var-cc-apple-pay: \\f416;\n$fa-var-scribd: \\f28a;\n$fa-var-debian: \\e60b;\n$fa-var-openid: \\f19b;\n$fa-var-instalod: \\e081;\n$fa-var-expeditedssl: \\f23e;\n$fa-var-sellcast: \\f2da;\n$fa-var-square-twitter: \\f081;\n$fa-var-twitter-square: \\f081;\n$fa-var-r-project: \\f4f7;\n$fa-var-delicious: \\f1a5;\n$fa-var-freebsd: \\f3a4;\n$fa-var-vuejs: \\f41f;\n$fa-var-accusoft: \\f369;\n$fa-var-ioxhost: \\f208;\n$fa-var-fonticons-fi: \\f3a2;\n$fa-var-app-store: \\f36f;\n$fa-var-cc-mastercard: \\f1f1;\n$fa-var-itunes-note: \\f3b5;\n$fa-var-golang: \\e40f;\n$fa-var-kickstarter: \\f3bb;\n$fa-var-square-kickstarter: \\f3bb;\n$fa-var-grav: \\f2d6;\n$fa-var-weibo: \\f18a;\n$fa-var-uncharted: \\e084;\n$fa-var-firstdraft: \\f3a1;\n$fa-var-square-youtube: \\f431;\n$fa-var-youtube-square: \\f431;\n$fa-var-wikipedia-w: \\f266;\n$fa-var-wpressr: \\f3e4;\n$fa-var-rendact: \\f3e4;\n$fa-var-angellist: \\f209;\n$fa-var-galactic-republic: \\f50c;\n$fa-var-nfc-directional: \\e530;\n$fa-var-skype: \\f17e;\n$fa-var-joget: \\f3b7;\n$fa-var-fedora: \\f798;\n$fa-var-stripe-s: \\f42a;\n$fa-var-meta: \\e49b;\n$fa-var-laravel: \\f3bd;\n$fa-var-hotjar: \\f3b1;\n$fa-var-bluetooth-b: \\f294;\n$fa-var-square-letterboxd: \\e62e;\n$fa-var-sticker-mule: \\f3f7;\n$fa-var-creative-commons-zero: \\f4f3;\n$fa-var-hips: \\f452;\n$fa-var-behance: \\f1b4;\n$fa-var-reddit: \\f1a1;\n$fa-var-discord: \\f392;\n$fa-var-chrome: \\f268;\n$fa-var-app-store-ios: \\f370;\n$fa-var-cc-discover: \\f1f2;\n$fa-var-wpbeginner: \\f297;\n$fa-var-confluence: \\f78d;\n$fa-var-shoelace: \\e60c;\n$fa-var-mdb: \\f8ca;\n$fa-var-dochub: \\f394;\n$fa-var-accessible-icon: \\f368;\n$fa-var-ebay: \\f4f4;\n$fa-var-amazon: \\f270;\n$fa-var-unsplash: \\e07c;\n$fa-var-yarn: \\f7e3;\n$fa-var-square-steam: \\f1b7;\n$fa-var-steam-square: \\f1b7;\n$fa-var-500px: \\f26e;\n$fa-var-square-vimeo: \\f194;\n$fa-var-vimeo-square: \\f194;\n$fa-var-asymmetrik: \\f372;\n$fa-var-font-awesome: \\f2b4;\n$fa-var-font-awesome-flag: \\f2b4;\n$fa-var-font-awesome-logo-full: \\f2b4;\n$fa-var-gratipay: \\f184;\n$fa-var-apple: \\f179;\n$fa-var-hive: \\e07f;\n$fa-var-gitkraken: \\f3a6;\n$fa-var-keybase: \\f4f5;\n$fa-var-apple-pay: \\f415;\n$fa-var-padlet: \\e4a0;\n$fa-var-amazon-pay: \\f42c;\n$fa-var-square-github: \\f092;\n$fa-var-github-square: \\f092;\n$fa-var-stumbleupon: \\f1a4;\n$fa-var-fedex: \\f797;\n$fa-var-phoenix-framework: \\f3dc;\n$fa-var-shopify: \\e057;\n$fa-var-neos: \\f612;\n$fa-var-square-threads: \\e619;\n$fa-var-hackerrank: \\f5f7;\n$fa-var-researchgate: \\f4f8;\n$fa-var-swift: \\f8e1;\n$fa-var-angular: \\f420;\n$fa-var-speakap: \\f3f3;\n$fa-var-angrycreative: \\f36e;\n$fa-var-y-combinator: \\f23b;\n$fa-var-empire: \\f1d1;\n$fa-var-envira: \\f299;\n$fa-var-google-scholar: \\e63b;\n$fa-var-square-gitlab: \\e5ae;\n$fa-var-gitlab-square: \\e5ae;\n$fa-var-studiovinari: \\f3f8;\n$fa-var-pied-piper: \\f2ae;\n$fa-var-wordpress: \\f19a;\n$fa-var-product-hunt: \\f288;\n$fa-var-firefox: \\f269;\n$fa-var-linode: \\f2b8;\n$fa-var-goodreads: \\f3a8;\n$fa-var-square-odnoklassniki: \\f264;\n$fa-var-odnoklassniki-square: \\f264;\n$fa-var-jsfiddle: \\f1cc;\n$fa-var-sith: \\f512;\n$fa-var-themeisle: \\f2b2;\n$fa-var-page4: \\f3d7;\n$fa-var-hashnode: \\e499;\n$fa-var-react: \\f41b;\n$fa-var-cc-paypal: \\f1f4;\n$fa-var-squarespace: \\f5be;\n$fa-var-cc-stripe: \\f1f5;\n$fa-var-creative-commons-share: \\f4f2;\n$fa-var-bitcoin: \\f379;\n$fa-var-keycdn: \\f3ba;\n$fa-var-opera: \\f26a;\n$fa-var-itch-io: \\f83a;\n$fa-var-umbraco: \\f8e8;\n$fa-var-galactic-senate: \\f50d;\n$fa-var-ubuntu: \\f7df;\n$fa-var-draft2digital: \\f396;\n$fa-var-stripe: \\f429;\n$fa-var-houzz: \\f27c;\n$fa-var-gg: \\f260;\n$fa-var-dhl: \\f790;\n$fa-var-square-pinterest: \\f0d3;\n$fa-var-pinterest-square: \\f0d3;\n$fa-var-xing: \\f168;\n$fa-var-blackberry: \\f37b;\n$fa-var-creative-commons-pd: \\f4ec;\n$fa-var-playstation: \\f3df;\n$fa-var-quinscape: \\f459;\n$fa-var-less: \\f41d;\n$fa-var-blogger-b: \\f37d;\n$fa-var-opencart: \\f23d;\n$fa-var-vine: \\f1ca;\n$fa-var-signal-messenger: \\e663;\n$fa-var-paypal: \\f1ed;\n$fa-var-gitlab: \\f296;\n$fa-var-typo3: \\f42b;\n$fa-var-reddit-alien: \\f281;\n$fa-var-yahoo: \\f19e;\n$fa-var-dailymotion: \\e052;\n$fa-var-affiliatetheme: \\f36b;\n$fa-var-pied-piper-pp: \\f1a7;\n$fa-var-bootstrap: \\f836;\n$fa-var-odnoklassniki: \\f263;\n$fa-var-nfc-symbol: \\e531;\n$fa-var-mintbit: \\e62f;\n$fa-var-ethereum: \\f42e;\n$fa-var-speaker-deck: \\f83c;\n$fa-var-creative-commons-nc-eu: \\f4e9;\n$fa-var-patreon: \\f3d9;\n$fa-var-avianex: \\f374;\n$fa-var-ello: \\f5f1;\n$fa-var-gofore: \\f3a7;\n$fa-var-bimobject: \\f378;\n$fa-var-brave-reverse: \\e63d;\n$fa-var-facebook-f: \\f39e;\n$fa-var-square-google-plus: \\f0d4;\n$fa-var-google-plus-square: \\f0d4;\n$fa-var-web-awesome: \\e682;\n$fa-var-mandalorian: \\f50f;\n$fa-var-first-order-alt: \\f50a;\n$fa-var-osi: \\f41a;\n$fa-var-google-wallet: \\f1ee;\n$fa-var-d-and-d-beyond: \\f6ca;\n$fa-var-periscope: \\f3da;\n$fa-var-fulcrum: \\f50b;\n$fa-var-cloudscale: \\f383;\n$fa-var-forumbee: \\f211;\n$fa-var-mizuni: \\f3cc;\n$fa-var-schlix: \\f3ea;\n$fa-var-square-xing: \\f169;\n$fa-var-xing-square: \\f169;\n$fa-var-bandcamp: \\f2d5;\n$fa-var-wpforms: \\f298;\n$fa-var-cloudversify: \\f385;\n$fa-var-usps: \\f7e1;\n$fa-var-megaport: \\f5a3;\n$fa-var-magento: \\f3c4;\n$fa-var-spotify: \\f1bc;\n$fa-var-optin-monster: \\f23c;\n$fa-var-fly: \\f417;\n$fa-var-aviato: \\f421;\n$fa-var-itunes: \\f3b4;\n$fa-var-cuttlefish: \\f38c;\n$fa-var-blogger: \\f37c;\n$fa-var-flickr: \\f16e;\n$fa-var-viber: \\f409;\n$fa-var-soundcloud: \\f1be;\n$fa-var-digg: \\f1a6;\n$fa-var-tencent-weibo: \\f1d5;\n$fa-var-letterboxd: \\e62d;\n$fa-var-symfony: \\f83d;\n$fa-var-maxcdn: \\f136;\n$fa-var-etsy: \\f2d7;\n$fa-var-facebook-messenger: \\f39f;\n$fa-var-audible: \\f373;\n$fa-var-think-peaks: \\f731;\n$fa-var-bilibili: \\e3d9;\n$fa-var-erlang: \\f39d;\n$fa-var-x-twitter: \\e61b;\n$fa-var-cotton-bureau: \\f89e;\n$fa-var-dashcube: \\f210;\n$fa-var-42-group: \\e080;\n$fa-var-innosoft: \\e080;\n$fa-var-stack-exchange: \\f18d;\n$fa-var-elementor: \\f430;\n$fa-var-square-pied-piper: \\e01e;\n$fa-var-pied-piper-square: \\e01e;\n$fa-var-creative-commons-nd: \\f4eb;\n$fa-var-palfed: \\f3d8;\n$fa-var-superpowers: \\f2dd;\n$fa-var-resolving: \\f3e7;\n$fa-var-xbox: \\f412;\n$fa-var-square-web-awesome-stroke: \\e684;\n$fa-var-searchengin: \\f3eb;\n$fa-var-tiktok: \\e07b;\n$fa-var-square-facebook: \\f082;\n$fa-var-facebook-square: \\f082;\n$fa-var-renren: \\f18b;\n$fa-var-linux: \\f17c;\n$fa-var-glide: \\f2a5;\n$fa-var-linkedin: \\f08c;\n$fa-var-hubspot: \\f3b2;\n$fa-var-deploydog: \\f38e;\n$fa-var-twitch: \\f1e8;\n$fa-var-ravelry: \\f2d9;\n$fa-var-mixer: \\e056;\n$fa-var-square-lastfm: \\f203;\n$fa-var-lastfm-square: \\f203;\n$fa-var-vimeo: \\f40a;\n$fa-var-mendeley: \\f7b3;\n$fa-var-uniregistry: \\f404;\n$fa-var-figma: \\f799;\n$fa-var-creative-commons-remix: \\f4ee;\n$fa-var-cc-amazon-pay: \\f42d;\n$fa-var-dropbox: \\f16b;\n$fa-var-instagram: \\f16d;\n$fa-var-cmplid: \\e360;\n$fa-var-upwork: \\e641;\n$fa-var-facebook: \\f09a;\n$fa-var-gripfire: \\f3ac;\n$fa-var-jedi-order: \\f50e;\n$fa-var-uikit: \\f403;\n$fa-var-fort-awesome-alt: \\f3a3;\n$fa-var-phabricator: \\f3db;\n$fa-var-ussunnah: \\f407;\n$fa-var-earlybirds: \\f39a;\n$fa-var-trade-federation: \\f513;\n$fa-var-autoprefixer: \\f41c;\n$fa-var-whatsapp: \\f232;\n$fa-var-square-upwork: \\e67c;\n$fa-var-slideshare: \\f1e7;\n$fa-var-google-play: \\f3ab;\n$fa-var-viadeo: \\f2a9;\n$fa-var-line: \\f3c0;\n$fa-var-google-drive: \\f3aa;\n$fa-var-servicestack: \\f3ec;\n$fa-var-simplybuilt: \\f215;\n$fa-var-bitbucket: \\f171;\n$fa-var-imdb: \\f2d8;\n$fa-var-deezer: \\e077;\n$fa-var-raspberry-pi: \\f7bb;\n$fa-var-jira: \\f7b1;\n$fa-var-docker: \\f395;\n$fa-var-screenpal: \\e570;\n$fa-var-bluetooth: \\f293;\n$fa-var-gitter: \\f426;\n$fa-var-d-and-d: \\f38d;\n$fa-var-microblog: \\e01a;\n$fa-var-cc-diners-club: \\f24c;\n$fa-var-gg-circle: \\f261;\n$fa-var-pied-piper-hat: \\f4e5;\n$fa-var-kickstarter-k: \\f3bc;\n$fa-var-yandex: \\f413;\n$fa-var-readme: \\f4d5;\n$fa-var-html5: \\f13b;\n$fa-var-sellsy: \\f213;\n$fa-var-square-web-awesome: \\e683;\n$fa-var-sass: \\f41e;\n$fa-var-wirsindhandwerk: \\e2d0;\n$fa-var-wsh: \\e2d0;\n$fa-var-buromobelexperte: \\f37f;\n$fa-var-salesforce: \\f83b;\n$fa-var-octopus-deploy: \\e082;\n$fa-var-medapps: \\f3c6;\n$fa-var-ns8: \\f3d5;\n$fa-var-pinterest-p: \\f231;\n$fa-var-apper: \\f371;\n$fa-var-fort-awesome: \\f286;\n$fa-var-waze: \\f83f;\n$fa-var-bluesky: \\e671;\n$fa-var-cc-jcb: \\f24b;\n$fa-var-snapchat: \\f2ab;\n$fa-var-snapchat-ghost: \\f2ab;\n$fa-var-fantasy-flight-games: \\f6dc;\n$fa-var-rust: \\e07a;\n$fa-var-wix: \\f5cf;\n$fa-var-square-behance: \\f1b5;\n$fa-var-behance-square: \\f1b5;\n$fa-var-supple: \\f3f9;\n$fa-var-webflow: \\e65c;\n$fa-var-rebel: \\f1d0;\n$fa-var-css3: \\f13c;\n$fa-var-staylinked: \\f3f5;\n$fa-var-kaggle: \\f5fa;\n$fa-var-space-awesome: \\e5ac;\n$fa-var-deviantart: \\f1bd;\n$fa-var-cpanel: \\f388;\n$fa-var-goodreads-g: \\f3a9;\n$fa-var-square-git: \\f1d2;\n$fa-var-git-square: \\f1d2;\n$fa-var-square-tumblr: \\f174;\n$fa-var-tumblr-square: \\f174;\n$fa-var-trello: \\f181;\n$fa-var-creative-commons-nc-jp: \\f4ea;\n$fa-var-get-pocket: \\f265;\n$fa-var-perbyte: \\e083;\n$fa-var-grunt: \\f3ad;\n$fa-var-weebly: \\f5cc;\n$fa-var-connectdevelop: \\f20e;\n$fa-var-leanpub: \\f212;\n$fa-var-black-tie: \\f27e;\n$fa-var-themeco: \\f5c6;\n$fa-var-python: \\f3e2;\n$fa-var-android: \\f17b;\n$fa-var-bots: \\e340;\n$fa-var-free-code-camp: \\f2c5;\n$fa-var-hornbill: \\f592;\n$fa-var-js: \\f3b8;\n$fa-var-ideal: \\e013;\n$fa-var-git: \\f1d3;\n$fa-var-dev: \\f6cc;\n$fa-var-sketch: \\f7c6;\n$fa-var-yandex-international: \\f414;\n$fa-var-cc-amex: \\f1f3;\n$fa-var-uber: \\f402;\n$fa-var-github: \\f09b;\n$fa-var-php: \\f457;\n$fa-var-alipay: \\f642;\n$fa-var-youtube: \\f167;\n$fa-var-skyatlas: \\f216;\n$fa-var-firefox-browser: \\e007;\n$fa-var-replyd: \\f3e6;\n$fa-var-suse: \\f7d6;\n$fa-var-jenkins: \\f3b6;\n$fa-var-twitter: \\f099;\n$fa-var-rockrms: \\f3e9;\n$fa-var-pinterest: \\f0d2;\n$fa-var-buffer: \\f837;\n$fa-var-npm: \\f3d4;\n$fa-var-yammer: \\f840;\n$fa-var-btc: \\f15a;\n$fa-var-dribbble: \\f17d;\n$fa-var-stumbleupon-circle: \\f1a3;\n$fa-var-internet-explorer: \\f26b;\n$fa-var-stubber: \\e5c7;\n$fa-var-telegram: \\f2c6;\n$fa-var-telegram-plane: \\f2c6;\n$fa-var-old-republic: \\f510;\n$fa-var-odysee: \\e5c6;\n$fa-var-square-whatsapp: \\f40c;\n$fa-var-whatsapp-square: \\f40c;\n$fa-var-node-js: \\f3d3;\n$fa-var-edge-legacy: \\e078;\n$fa-var-slack: \\f198;\n$fa-var-slack-hash: \\f198;\n$fa-var-medrt: \\f3c8;\n$fa-var-usb: \\f287;\n$fa-var-tumblr: \\f173;\n$fa-var-vaadin: \\f408;\n$fa-var-quora: \\f2c4;\n$fa-var-square-x-twitter: \\e61a;\n$fa-var-reacteurope: \\f75d;\n$fa-var-medium: \\f23a;\n$fa-var-medium-m: \\f23a;\n$fa-var-amilia: \\f36d;\n$fa-var-mixcloud: \\f289;\n$fa-var-flipboard: \\f44d;\n$fa-var-viacoin: \\f237;\n$fa-var-critical-role: \\f6c9;\n$fa-var-sitrox: \\e44a;\n$fa-var-discourse: \\f393;\n$fa-var-joomla: \\f1aa;\n$fa-var-mastodon: \\f4f6;\n$fa-var-airbnb: \\f834;\n$fa-var-wolf-pack-battalion: \\f514;\n$fa-var-buy-n-large: \\f8a6;\n$fa-var-gulp: \\f3ae;\n$fa-var-creative-commons-sampling-plus: \\f4f1;\n$fa-var-strava: \\f428;\n$fa-var-ember: \\f423;\n$fa-var-canadian-maple-leaf: \\f785;\n$fa-var-teamspeak: \\f4f9;\n$fa-var-pushed: \\f3e1;\n$fa-var-wordpress-simple: \\f411;\n$fa-var-nutritionix: \\f3d6;\n$fa-var-wodu: \\e088;\n$fa-var-google-pay: \\e079;\n$fa-var-intercom: \\f7af;\n$fa-var-zhihu: \\f63f;\n$fa-var-korvue: \\f42f;\n$fa-var-pix: \\e43a;\n$fa-var-steam-symbol: \\f3f6;\n\n$fa-icons: (\n  \"0\": $fa-var-0,\n  \"1\": $fa-var-1,\n  \"2\": $fa-var-2,\n  \"3\": $fa-var-3,\n  \"4\": $fa-var-4,\n  \"5\": $fa-var-5,\n  \"6\": $fa-var-6,\n  \"7\": $fa-var-7,\n  \"8\": $fa-var-8,\n  \"9\": $fa-var-9,\n  \"fill-drip\": $fa-var-fill-drip,\n  \"arrows-to-circle\": $fa-var-arrows-to-circle,\n  \"circle-chevron-right\": $fa-var-circle-chevron-right,\n  \"chevron-circle-right\": $fa-var-chevron-circle-right,\n  \"at\": $fa-var-at,\n  \"trash-can\": $fa-var-trash-can,\n  \"trash-alt\": $fa-var-trash-alt,\n  \"text-height\": $fa-var-text-height,\n  \"user-xmark\": $fa-var-user-xmark,\n  \"user-times\": $fa-var-user-times,\n  \"stethoscope\": $fa-var-stethoscope,\n  \"message\": $fa-var-message,\n  \"comment-alt\": $fa-var-comment-alt,\n  \"info\": $fa-var-info,\n  \"down-left-and-up-right-to-center\": $fa-var-down-left-and-up-right-to-center,\n  \"compress-alt\": $fa-var-compress-alt,\n  \"explosion\": $fa-var-explosion,\n  \"file-lines\": $fa-var-file-lines,\n  \"file-alt\": $fa-var-file-alt,\n  \"file-text\": $fa-var-file-text,\n  \"wave-square\": $fa-var-wave-square,\n  \"ring\": $fa-var-ring,\n  \"building-un\": $fa-var-building-un,\n  \"dice-three\": $fa-var-dice-three,\n  \"calendar-days\": $fa-var-calendar-days,\n  \"calendar-alt\": $fa-var-calendar-alt,\n  \"anchor-circle-check\": $fa-var-anchor-circle-check,\n  \"building-circle-arrow-right\": $fa-var-building-circle-arrow-right,\n  \"volleyball\": $fa-var-volleyball,\n  \"volleyball-ball\": $fa-var-volleyball-ball,\n  \"arrows-up-to-line\": $fa-var-arrows-up-to-line,\n  \"sort-down\": $fa-var-sort-down,\n  \"sort-desc\": $fa-var-sort-desc,\n  \"circle-minus\": $fa-var-circle-minus,\n  \"minus-circle\": $fa-var-minus-circle,\n  \"door-open\": $fa-var-door-open,\n  \"right-from-bracket\": $fa-var-right-from-bracket,\n  \"sign-out-alt\": $fa-var-sign-out-alt,\n  \"atom\": $fa-var-atom,\n  \"soap\": $fa-var-soap,\n  \"icons\": $fa-var-icons,\n  \"heart-music-camera-bolt\": $fa-var-heart-music-camera-bolt,\n  \"microphone-lines-slash\": $fa-var-microphone-lines-slash,\n  \"microphone-alt-slash\": $fa-var-microphone-alt-slash,\n  \"bridge-circle-check\": $fa-var-bridge-circle-check,\n  \"pump-medical\": $fa-var-pump-medical,\n  \"fingerprint\": $fa-var-fingerprint,\n  \"hand-point-right\": $fa-var-hand-point-right,\n  \"magnifying-glass-location\": $fa-var-magnifying-glass-location,\n  \"search-location\": $fa-var-search-location,\n  \"forward-step\": $fa-var-forward-step,\n  \"step-forward\": $fa-var-step-forward,\n  \"face-smile-beam\": $fa-var-face-smile-beam,\n  \"smile-beam\": $fa-var-smile-beam,\n  \"flag-checkered\": $fa-var-flag-checkered,\n  \"football\": $fa-var-football,\n  \"football-ball\": $fa-var-football-ball,\n  \"school-circle-exclamation\": $fa-var-school-circle-exclamation,\n  \"crop\": $fa-var-crop,\n  \"angles-down\": $fa-var-angles-down,\n  \"angle-double-down\": $fa-var-angle-double-down,\n  \"users-rectangle\": $fa-var-users-rectangle,\n  \"people-roof\": $fa-var-people-roof,\n  \"people-line\": $fa-var-people-line,\n  \"beer-mug-empty\": $fa-var-beer-mug-empty,\n  \"beer\": $fa-var-beer,\n  \"diagram-predecessor\": $fa-var-diagram-predecessor,\n  \"arrow-up-long\": $fa-var-arrow-up-long,\n  \"long-arrow-up\": $fa-var-long-arrow-up,\n  \"fire-flame-simple\": $fa-var-fire-flame-simple,\n  \"burn\": $fa-var-burn,\n  \"person\": $fa-var-person,\n  \"male\": $fa-var-male,\n  \"laptop\": $fa-var-laptop,\n  \"file-csv\": $fa-var-file-csv,\n  \"menorah\": $fa-var-menorah,\n  \"truck-plane\": $fa-var-truck-plane,\n  \"record-vinyl\": $fa-var-record-vinyl,\n  \"face-grin-stars\": $fa-var-face-grin-stars,\n  \"grin-stars\": $fa-var-grin-stars,\n  \"bong\": $fa-var-bong,\n  \"spaghetti-monster-flying\": $fa-var-spaghetti-monster-flying,\n  \"pastafarianism\": $fa-var-pastafarianism,\n  \"arrow-down-up-across-line\": $fa-var-arrow-down-up-across-line,\n  \"spoon\": $fa-var-spoon,\n  \"utensil-spoon\": $fa-var-utensil-spoon,\n  \"jar-wheat\": $fa-var-jar-wheat,\n  \"envelopes-bulk\": $fa-var-envelopes-bulk,\n  \"mail-bulk\": $fa-var-mail-bulk,\n  \"file-circle-exclamation\": $fa-var-file-circle-exclamation,\n  \"circle-h\": $fa-var-circle-h,\n  \"hospital-symbol\": $fa-var-hospital-symbol,\n  \"pager\": $fa-var-pager,\n  \"address-book\": $fa-var-address-book,\n  \"contact-book\": $fa-var-contact-book,\n  \"strikethrough\": $fa-var-strikethrough,\n  \"k\": $fa-var-k,\n  \"landmark-flag\": $fa-var-landmark-flag,\n  \"pencil\": $fa-var-pencil,\n  \"pencil-alt\": $fa-var-pencil-alt,\n  \"backward\": $fa-var-backward,\n  \"caret-right\": $fa-var-caret-right,\n  \"comments\": $fa-var-comments,\n  \"paste\": $fa-var-paste,\n  \"file-clipboard\": $fa-var-file-clipboard,\n  \"code-pull-request\": $fa-var-code-pull-request,\n  \"clipboard-list\": $fa-var-clipboard-list,\n  \"truck-ramp-box\": $fa-var-truck-ramp-box,\n  \"truck-loading\": $fa-var-truck-loading,\n  \"user-check\": $fa-var-user-check,\n  \"vial-virus\": $fa-var-vial-virus,\n  \"sheet-plastic\": $fa-var-sheet-plastic,\n  \"blog\": $fa-var-blog,\n  \"user-ninja\": $fa-var-user-ninja,\n  \"person-arrow-up-from-line\": $fa-var-person-arrow-up-from-line,\n  \"scroll-torah\": $fa-var-scroll-torah,\n  \"torah\": $fa-var-torah,\n  \"broom-ball\": $fa-var-broom-ball,\n  \"quidditch\": $fa-var-quidditch,\n  \"quidditch-broom-ball\": $fa-var-quidditch-broom-ball,\n  \"toggle-off\": $fa-var-toggle-off,\n  \"box-archive\": $fa-var-box-archive,\n  \"archive\": $fa-var-archive,\n  \"person-drowning\": $fa-var-person-drowning,\n  \"arrow-down-9-1\": $fa-var-arrow-down-9-1,\n  \"sort-numeric-desc\": $fa-var-sort-numeric-desc,\n  \"sort-numeric-down-alt\": $fa-var-sort-numeric-down-alt,\n  \"face-grin-tongue-squint\": $fa-var-face-grin-tongue-squint,\n  \"grin-tongue-squint\": $fa-var-grin-tongue-squint,\n  \"spray-can\": $fa-var-spray-can,\n  \"truck-monster\": $fa-var-truck-monster,\n  \"w\": $fa-var-w,\n  \"earth-africa\": $fa-var-earth-africa,\n  \"globe-africa\": $fa-var-globe-africa,\n  \"rainbow\": $fa-var-rainbow,\n  \"circle-notch\": $fa-var-circle-notch,\n  \"tablet-screen-button\": $fa-var-tablet-screen-button,\n  \"tablet-alt\": $fa-var-tablet-alt,\n  \"paw\": $fa-var-paw,\n  \"cloud\": $fa-var-cloud,\n  \"trowel-bricks\": $fa-var-trowel-bricks,\n  \"face-flushed\": $fa-var-face-flushed,\n  \"flushed\": $fa-var-flushed,\n  \"hospital-user\": $fa-var-hospital-user,\n  \"tent-arrow-left-right\": $fa-var-tent-arrow-left-right,\n  \"gavel\": $fa-var-gavel,\n  \"legal\": $fa-var-legal,\n  \"binoculars\": $fa-var-binoculars,\n  \"microphone-slash\": $fa-var-microphone-slash,\n  \"box-tissue\": $fa-var-box-tissue,\n  \"motorcycle\": $fa-var-motorcycle,\n  \"bell-concierge\": $fa-var-bell-concierge,\n  \"concierge-bell\": $fa-var-concierge-bell,\n  \"pen-ruler\": $fa-var-pen-ruler,\n  \"pencil-ruler\": $fa-var-pencil-ruler,\n  \"people-arrows\": $fa-var-people-arrows,\n  \"people-arrows-left-right\": $fa-var-people-arrows-left-right,\n  \"mars-and-venus-burst\": $fa-var-mars-and-venus-burst,\n  \"square-caret-right\": $fa-var-square-caret-right,\n  \"caret-square-right\": $fa-var-caret-square-right,\n  \"scissors\": $fa-var-scissors,\n  \"cut\": $fa-var-cut,\n  \"sun-plant-wilt\": $fa-var-sun-plant-wilt,\n  \"toilets-portable\": $fa-var-toilets-portable,\n  \"hockey-puck\": $fa-var-hockey-puck,\n  \"table\": $fa-var-table,\n  \"magnifying-glass-arrow-right\": $fa-var-magnifying-glass-arrow-right,\n  \"tachograph-digital\": $fa-var-tachograph-digital,\n  \"digital-tachograph\": $fa-var-digital-tachograph,\n  \"users-slash\": $fa-var-users-slash,\n  \"clover\": $fa-var-clover,\n  \"reply\": $fa-var-reply,\n  \"mail-reply\": $fa-var-mail-reply,\n  \"star-and-crescent\": $fa-var-star-and-crescent,\n  \"house-fire\": $fa-var-house-fire,\n  \"square-minus\": $fa-var-square-minus,\n  \"minus-square\": $fa-var-minus-square,\n  \"helicopter\": $fa-var-helicopter,\n  \"compass\": $fa-var-compass,\n  \"square-caret-down\": $fa-var-square-caret-down,\n  \"caret-square-down\": $fa-var-caret-square-down,\n  \"file-circle-question\": $fa-var-file-circle-question,\n  \"laptop-code\": $fa-var-laptop-code,\n  \"swatchbook\": $fa-var-swatchbook,\n  \"prescription-bottle\": $fa-var-prescription-bottle,\n  \"bars\": $fa-var-bars,\n  \"navicon\": $fa-var-navicon,\n  \"people-group\": $fa-var-people-group,\n  \"hourglass-end\": $fa-var-hourglass-end,\n  \"hourglass-3\": $fa-var-hourglass-3,\n  \"heart-crack\": $fa-var-heart-crack,\n  \"heart-broken\": $fa-var-heart-broken,\n  \"square-up-right\": $fa-var-square-up-right,\n  \"external-link-square-alt\": $fa-var-external-link-square-alt,\n  \"face-kiss-beam\": $fa-var-face-kiss-beam,\n  \"kiss-beam\": $fa-var-kiss-beam,\n  \"film\": $fa-var-film,\n  \"ruler-horizontal\": $fa-var-ruler-horizontal,\n  \"people-robbery\": $fa-var-people-robbery,\n  \"lightbulb\": $fa-var-lightbulb,\n  \"caret-left\": $fa-var-caret-left,\n  \"circle-exclamation\": $fa-var-circle-exclamation,\n  \"exclamation-circle\": $fa-var-exclamation-circle,\n  \"school-circle-xmark\": $fa-var-school-circle-xmark,\n  \"arrow-right-from-bracket\": $fa-var-arrow-right-from-bracket,\n  \"sign-out\": $fa-var-sign-out,\n  \"circle-chevron-down\": $fa-var-circle-chevron-down,\n  \"chevron-circle-down\": $fa-var-chevron-circle-down,\n  \"unlock-keyhole\": $fa-var-unlock-keyhole,\n  \"unlock-alt\": $fa-var-unlock-alt,\n  \"cloud-showers-heavy\": $fa-var-cloud-showers-heavy,\n  \"headphones-simple\": $fa-var-headphones-simple,\n  \"headphones-alt\": $fa-var-headphones-alt,\n  \"sitemap\": $fa-var-sitemap,\n  \"circle-dollar-to-slot\": $fa-var-circle-dollar-to-slot,\n  \"donate\": $fa-var-donate,\n  \"memory\": $fa-var-memory,\n  \"road-spikes\": $fa-var-road-spikes,\n  \"fire-burner\": $fa-var-fire-burner,\n  \"flag\": $fa-var-flag,\n  \"hanukiah\": $fa-var-hanukiah,\n  \"feather\": $fa-var-feather,\n  \"volume-low\": $fa-var-volume-low,\n  \"volume-down\": $fa-var-volume-down,\n  \"comment-slash\": $fa-var-comment-slash,\n  \"cloud-sun-rain\": $fa-var-cloud-sun-rain,\n  \"compress\": $fa-var-compress,\n  \"wheat-awn\": $fa-var-wheat-awn,\n  \"wheat-alt\": $fa-var-wheat-alt,\n  \"ankh\": $fa-var-ankh,\n  \"hands-holding-child\": $fa-var-hands-holding-child,\n  \"asterisk\": $fa-var-asterisk,\n  \"square-check\": $fa-var-square-check,\n  \"check-square\": $fa-var-check-square,\n  \"peseta-sign\": $fa-var-peseta-sign,\n  \"heading\": $fa-var-heading,\n  \"header\": $fa-var-header,\n  \"ghost\": $fa-var-ghost,\n  \"list\": $fa-var-list,\n  \"list-squares\": $fa-var-list-squares,\n  \"square-phone-flip\": $fa-var-square-phone-flip,\n  \"phone-square-alt\": $fa-var-phone-square-alt,\n  \"cart-plus\": $fa-var-cart-plus,\n  \"gamepad\": $fa-var-gamepad,\n  \"circle-dot\": $fa-var-circle-dot,\n  \"dot-circle\": $fa-var-dot-circle,\n  \"face-dizzy\": $fa-var-face-dizzy,\n  \"dizzy\": $fa-var-dizzy,\n  \"egg\": $fa-var-egg,\n  \"house-medical-circle-xmark\": $fa-var-house-medical-circle-xmark,\n  \"campground\": $fa-var-campground,\n  \"folder-plus\": $fa-var-folder-plus,\n  \"futbol\": $fa-var-futbol,\n  \"futbol-ball\": $fa-var-futbol-ball,\n  \"soccer-ball\": $fa-var-soccer-ball,\n  \"paintbrush\": $fa-var-paintbrush,\n  \"paint-brush\": $fa-var-paint-brush,\n  \"lock\": $fa-var-lock,\n  \"gas-pump\": $fa-var-gas-pump,\n  \"hot-tub-person\": $fa-var-hot-tub-person,\n  \"hot-tub\": $fa-var-hot-tub,\n  \"map-location\": $fa-var-map-location,\n  \"map-marked\": $fa-var-map-marked,\n  \"house-flood-water\": $fa-var-house-flood-water,\n  \"tree\": $fa-var-tree,\n  \"bridge-lock\": $fa-var-bridge-lock,\n  \"sack-dollar\": $fa-var-sack-dollar,\n  \"pen-to-square\": $fa-var-pen-to-square,\n  \"edit\": $fa-var-edit,\n  \"car-side\": $fa-var-car-side,\n  \"share-nodes\": $fa-var-share-nodes,\n  \"share-alt\": $fa-var-share-alt,\n  \"heart-circle-minus\": $fa-var-heart-circle-minus,\n  \"hourglass-half\": $fa-var-hourglass-half,\n  \"hourglass-2\": $fa-var-hourglass-2,\n  \"microscope\": $fa-var-microscope,\n  \"sink\": $fa-var-sink,\n  \"bag-shopping\": $fa-var-bag-shopping,\n  \"shopping-bag\": $fa-var-shopping-bag,\n  \"arrow-down-z-a\": $fa-var-arrow-down-z-a,\n  \"sort-alpha-desc\": $fa-var-sort-alpha-desc,\n  \"sort-alpha-down-alt\": $fa-var-sort-alpha-down-alt,\n  \"mitten\": $fa-var-mitten,\n  \"person-rays\": $fa-var-person-rays,\n  \"users\": $fa-var-users,\n  \"eye-slash\": $fa-var-eye-slash,\n  \"flask-vial\": $fa-var-flask-vial,\n  \"hand\": $fa-var-hand,\n  \"hand-paper\": $fa-var-hand-paper,\n  \"om\": $fa-var-om,\n  \"worm\": $fa-var-worm,\n  \"house-circle-xmark\": $fa-var-house-circle-xmark,\n  \"plug\": $fa-var-plug,\n  \"chevron-up\": $fa-var-chevron-up,\n  \"hand-spock\": $fa-var-hand-spock,\n  \"stopwatch\": $fa-var-stopwatch,\n  \"face-kiss\": $fa-var-face-kiss,\n  \"kiss\": $fa-var-kiss,\n  \"bridge-circle-xmark\": $fa-var-bridge-circle-xmark,\n  \"face-grin-tongue\": $fa-var-face-grin-tongue,\n  \"grin-tongue\": $fa-var-grin-tongue,\n  \"chess-bishop\": $fa-var-chess-bishop,\n  \"face-grin-wink\": $fa-var-face-grin-wink,\n  \"grin-wink\": $fa-var-grin-wink,\n  \"ear-deaf\": $fa-var-ear-deaf,\n  \"deaf\": $fa-var-deaf,\n  \"deafness\": $fa-var-deafness,\n  \"hard-of-hearing\": $fa-var-hard-of-hearing,\n  \"road-circle-check\": $fa-var-road-circle-check,\n  \"dice-five\": $fa-var-dice-five,\n  \"square-rss\": $fa-var-square-rss,\n  \"rss-square\": $fa-var-rss-square,\n  \"land-mine-on\": $fa-var-land-mine-on,\n  \"i-cursor\": $fa-var-i-cursor,\n  \"stamp\": $fa-var-stamp,\n  \"stairs\": $fa-var-stairs,\n  \"i\": $fa-var-i,\n  \"hryvnia-sign\": $fa-var-hryvnia-sign,\n  \"hryvnia\": $fa-var-hryvnia,\n  \"pills\": $fa-var-pills,\n  \"face-grin-wide\": $fa-var-face-grin-wide,\n  \"grin-alt\": $fa-var-grin-alt,\n  \"tooth\": $fa-var-tooth,\n  \"v\": $fa-var-v,\n  \"bangladeshi-taka-sign\": $fa-var-bangladeshi-taka-sign,\n  \"bicycle\": $fa-var-bicycle,\n  \"staff-snake\": $fa-var-staff-snake,\n  \"rod-asclepius\": $fa-var-rod-asclepius,\n  \"rod-snake\": $fa-var-rod-snake,\n  \"staff-aesculapius\": $fa-var-staff-aesculapius,\n  \"head-side-cough-slash\": $fa-var-head-side-cough-slash,\n  \"truck-medical\": $fa-var-truck-medical,\n  \"ambulance\": $fa-var-ambulance,\n  \"wheat-awn-circle-exclamation\": $fa-var-wheat-awn-circle-exclamation,\n  \"snowman\": $fa-var-snowman,\n  \"mortar-pestle\": $fa-var-mortar-pestle,\n  \"road-barrier\": $fa-var-road-barrier,\n  \"school\": $fa-var-school,\n  \"igloo\": $fa-var-igloo,\n  \"joint\": $fa-var-joint,\n  \"angle-right\": $fa-var-angle-right,\n  \"horse\": $fa-var-horse,\n  \"q\": $fa-var-q,\n  \"g\": $fa-var-g,\n  \"notes-medical\": $fa-var-notes-medical,\n  \"temperature-half\": $fa-var-temperature-half,\n  \"temperature-2\": $fa-var-temperature-2,\n  \"thermometer-2\": $fa-var-thermometer-2,\n  \"thermometer-half\": $fa-var-thermometer-half,\n  \"dong-sign\": $fa-var-dong-sign,\n  \"capsules\": $fa-var-capsules,\n  \"poo-storm\": $fa-var-poo-storm,\n  \"poo-bolt\": $fa-var-poo-bolt,\n  \"face-frown-open\": $fa-var-face-frown-open,\n  \"frown-open\": $fa-var-frown-open,\n  \"hand-point-up\": $fa-var-hand-point-up,\n  \"money-bill\": $fa-var-money-bill,\n  \"bookmark\": $fa-var-bookmark,\n  \"align-justify\": $fa-var-align-justify,\n  \"umbrella-beach\": $fa-var-umbrella-beach,\n  \"helmet-un\": $fa-var-helmet-un,\n  \"bullseye\": $fa-var-bullseye,\n  \"bacon\": $fa-var-bacon,\n  \"hand-point-down\": $fa-var-hand-point-down,\n  \"arrow-up-from-bracket\": $fa-var-arrow-up-from-bracket,\n  \"folder\": $fa-var-folder,\n  \"folder-blank\": $fa-var-folder-blank,\n  \"file-waveform\": $fa-var-file-waveform,\n  \"file-medical-alt\": $fa-var-file-medical-alt,\n  \"radiation\": $fa-var-radiation,\n  \"chart-simple\": $fa-var-chart-simple,\n  \"mars-stroke\": $fa-var-mars-stroke,\n  \"vial\": $fa-var-vial,\n  \"gauge\": $fa-var-gauge,\n  \"dashboard\": $fa-var-dashboard,\n  \"gauge-med\": $fa-var-gauge-med,\n  \"tachometer-alt-average\": $fa-var-tachometer-alt-average,\n  \"wand-magic-sparkles\": $fa-var-wand-magic-sparkles,\n  \"magic-wand-sparkles\": $fa-var-magic-wand-sparkles,\n  \"e\": $fa-var-e,\n  \"pen-clip\": $fa-var-pen-clip,\n  \"pen-alt\": $fa-var-pen-alt,\n  \"bridge-circle-exclamation\": $fa-var-bridge-circle-exclamation,\n  \"user\": $fa-var-user,\n  \"school-circle-check\": $fa-var-school-circle-check,\n  \"dumpster\": $fa-var-dumpster,\n  \"van-shuttle\": $fa-var-van-shuttle,\n  \"shuttle-van\": $fa-var-shuttle-van,\n  \"building-user\": $fa-var-building-user,\n  \"square-caret-left\": $fa-var-square-caret-left,\n  \"caret-square-left\": $fa-var-caret-square-left,\n  \"highlighter\": $fa-var-highlighter,\n  \"key\": $fa-var-key,\n  \"bullhorn\": $fa-var-bullhorn,\n  \"globe\": $fa-var-globe,\n  \"synagogue\": $fa-var-synagogue,\n  \"person-half-dress\": $fa-var-person-half-dress,\n  \"road-bridge\": $fa-var-road-bridge,\n  \"location-arrow\": $fa-var-location-arrow,\n  \"c\": $fa-var-c,\n  \"tablet-button\": $fa-var-tablet-button,\n  \"building-lock\": $fa-var-building-lock,\n  \"pizza-slice\": $fa-var-pizza-slice,\n  \"money-bill-wave\": $fa-var-money-bill-wave,\n  \"chart-area\": $fa-var-chart-area,\n  \"area-chart\": $fa-var-area-chart,\n  \"house-flag\": $fa-var-house-flag,\n  \"person-circle-minus\": $fa-var-person-circle-minus,\n  \"ban\": $fa-var-ban,\n  \"cancel\": $fa-var-cancel,\n  \"camera-rotate\": $fa-var-camera-rotate,\n  \"spray-can-sparkles\": $fa-var-spray-can-sparkles,\n  \"air-freshener\": $fa-var-air-freshener,\n  \"star\": $fa-var-star,\n  \"repeat\": $fa-var-repeat,\n  \"cross\": $fa-var-cross,\n  \"box\": $fa-var-box,\n  \"venus-mars\": $fa-var-venus-mars,\n  \"arrow-pointer\": $fa-var-arrow-pointer,\n  \"mouse-pointer\": $fa-var-mouse-pointer,\n  \"maximize\": $fa-var-maximize,\n  \"expand-arrows-alt\": $fa-var-expand-arrows-alt,\n  \"charging-station\": $fa-var-charging-station,\n  \"shapes\": $fa-var-shapes,\n  \"triangle-circle-square\": $fa-var-triangle-circle-square,\n  \"shuffle\": $fa-var-shuffle,\n  \"random\": $fa-var-random,\n  \"person-running\": $fa-var-person-running,\n  \"running\": $fa-var-running,\n  \"mobile-retro\": $fa-var-mobile-retro,\n  \"grip-lines-vertical\": $fa-var-grip-lines-vertical,\n  \"spider\": $fa-var-spider,\n  \"hands-bound\": $fa-var-hands-bound,\n  \"file-invoice-dollar\": $fa-var-file-invoice-dollar,\n  \"plane-circle-exclamation\": $fa-var-plane-circle-exclamation,\n  \"x-ray\": $fa-var-x-ray,\n  \"spell-check\": $fa-var-spell-check,\n  \"slash\": $fa-var-slash,\n  \"computer-mouse\": $fa-var-computer-mouse,\n  \"mouse\": $fa-var-mouse,\n  \"arrow-right-to-bracket\": $fa-var-arrow-right-to-bracket,\n  \"sign-in\": $fa-var-sign-in,\n  \"shop-slash\": $fa-var-shop-slash,\n  \"store-alt-slash\": $fa-var-store-alt-slash,\n  \"server\": $fa-var-server,\n  \"virus-covid-slash\": $fa-var-virus-covid-slash,\n  \"shop-lock\": $fa-var-shop-lock,\n  \"hourglass-start\": $fa-var-hourglass-start,\n  \"hourglass-1\": $fa-var-hourglass-1,\n  \"blender-phone\": $fa-var-blender-phone,\n  \"building-wheat\": $fa-var-building-wheat,\n  \"person-breastfeeding\": $fa-var-person-breastfeeding,\n  \"right-to-bracket\": $fa-var-right-to-bracket,\n  \"sign-in-alt\": $fa-var-sign-in-alt,\n  \"venus\": $fa-var-venus,\n  \"passport\": $fa-var-passport,\n  \"heart-pulse\": $fa-var-heart-pulse,\n  \"heartbeat\": $fa-var-heartbeat,\n  \"people-carry-box\": $fa-var-people-carry-box,\n  \"people-carry\": $fa-var-people-carry,\n  \"temperature-high\": $fa-var-temperature-high,\n  \"microchip\": $fa-var-microchip,\n  \"crown\": $fa-var-crown,\n  \"weight-hanging\": $fa-var-weight-hanging,\n  \"xmarks-lines\": $fa-var-xmarks-lines,\n  \"file-prescription\": $fa-var-file-prescription,\n  \"weight-scale\": $fa-var-weight-scale,\n  \"weight\": $fa-var-weight,\n  \"user-group\": $fa-var-user-group,\n  \"user-friends\": $fa-var-user-friends,\n  \"arrow-up-a-z\": $fa-var-arrow-up-a-z,\n  \"sort-alpha-up\": $fa-var-sort-alpha-up,\n  \"chess-knight\": $fa-var-chess-knight,\n  \"face-laugh-squint\": $fa-var-face-laugh-squint,\n  \"laugh-squint\": $fa-var-laugh-squint,\n  \"wheelchair\": $fa-var-wheelchair,\n  \"circle-arrow-up\": $fa-var-circle-arrow-up,\n  \"arrow-circle-up\": $fa-var-arrow-circle-up,\n  \"toggle-on\": $fa-var-toggle-on,\n  \"person-walking\": $fa-var-person-walking,\n  \"walking\": $fa-var-walking,\n  \"l\": $fa-var-l,\n  \"fire\": $fa-var-fire,\n  \"bed-pulse\": $fa-var-bed-pulse,\n  \"procedures\": $fa-var-procedures,\n  \"shuttle-space\": $fa-var-shuttle-space,\n  \"space-shuttle\": $fa-var-space-shuttle,\n  \"face-laugh\": $fa-var-face-laugh,\n  \"laugh\": $fa-var-laugh,\n  \"folder-open\": $fa-var-folder-open,\n  \"heart-circle-plus\": $fa-var-heart-circle-plus,\n  \"code-fork\": $fa-var-code-fork,\n  \"city\": $fa-var-city,\n  \"microphone-lines\": $fa-var-microphone-lines,\n  \"microphone-alt\": $fa-var-microphone-alt,\n  \"pepper-hot\": $fa-var-pepper-hot,\n  \"unlock\": $fa-var-unlock,\n  \"colon-sign\": $fa-var-colon-sign,\n  \"headset\": $fa-var-headset,\n  \"store-slash\": $fa-var-store-slash,\n  \"road-circle-xmark\": $fa-var-road-circle-xmark,\n  \"user-minus\": $fa-var-user-minus,\n  \"mars-stroke-up\": $fa-var-mars-stroke-up,\n  \"mars-stroke-v\": $fa-var-mars-stroke-v,\n  \"champagne-glasses\": $fa-var-champagne-glasses,\n  \"glass-cheers\": $fa-var-glass-cheers,\n  \"clipboard\": $fa-var-clipboard,\n  \"house-circle-exclamation\": $fa-var-house-circle-exclamation,\n  \"file-arrow-up\": $fa-var-file-arrow-up,\n  \"file-upload\": $fa-var-file-upload,\n  \"wifi\": $fa-var-wifi,\n  \"wifi-3\": $fa-var-wifi-3,\n  \"wifi-strong\": $fa-var-wifi-strong,\n  \"bath\": $fa-var-bath,\n  \"bathtub\": $fa-var-bathtub,\n  \"underline\": $fa-var-underline,\n  \"user-pen\": $fa-var-user-pen,\n  \"user-edit\": $fa-var-user-edit,\n  \"signature\": $fa-var-signature,\n  \"stroopwafel\": $fa-var-stroopwafel,\n  \"bold\": $fa-var-bold,\n  \"anchor-lock\": $fa-var-anchor-lock,\n  \"building-ngo\": $fa-var-building-ngo,\n  \"manat-sign\": $fa-var-manat-sign,\n  \"not-equal\": $fa-var-not-equal,\n  \"border-top-left\": $fa-var-border-top-left,\n  \"border-style\": $fa-var-border-style,\n  \"map-location-dot\": $fa-var-map-location-dot,\n  \"map-marked-alt\": $fa-var-map-marked-alt,\n  \"jedi\": $fa-var-jedi,\n  \"square-poll-vertical\": $fa-var-square-poll-vertical,\n  \"poll\": $fa-var-poll,\n  \"mug-hot\": $fa-var-mug-hot,\n  \"car-battery\": $fa-var-car-battery,\n  \"battery-car\": $fa-var-battery-car,\n  \"gift\": $fa-var-gift,\n  \"dice-two\": $fa-var-dice-two,\n  \"chess-queen\": $fa-var-chess-queen,\n  \"glasses\": $fa-var-glasses,\n  \"chess-board\": $fa-var-chess-board,\n  \"building-circle-check\": $fa-var-building-circle-check,\n  \"person-chalkboard\": $fa-var-person-chalkboard,\n  \"mars-stroke-right\": $fa-var-mars-stroke-right,\n  \"mars-stroke-h\": $fa-var-mars-stroke-h,\n  \"hand-back-fist\": $fa-var-hand-back-fist,\n  \"hand-rock\": $fa-var-hand-rock,\n  \"square-caret-up\": $fa-var-square-caret-up,\n  \"caret-square-up\": $fa-var-caret-square-up,\n  \"cloud-showers-water\": $fa-var-cloud-showers-water,\n  \"chart-bar\": $fa-var-chart-bar,\n  \"bar-chart\": $fa-var-bar-chart,\n  \"hands-bubbles\": $fa-var-hands-bubbles,\n  \"hands-wash\": $fa-var-hands-wash,\n  \"less-than-equal\": $fa-var-less-than-equal,\n  \"train\": $fa-var-train,\n  \"eye-low-vision\": $fa-var-eye-low-vision,\n  \"low-vision\": $fa-var-low-vision,\n  \"crow\": $fa-var-crow,\n  \"sailboat\": $fa-var-sailboat,\n  \"window-restore\": $fa-var-window-restore,\n  \"square-plus\": $fa-var-square-plus,\n  \"plus-square\": $fa-var-plus-square,\n  \"torii-gate\": $fa-var-torii-gate,\n  \"frog\": $fa-var-frog,\n  \"bucket\": $fa-var-bucket,\n  \"image\": $fa-var-image,\n  \"microphone\": $fa-var-microphone,\n  \"cow\": $fa-var-cow,\n  \"caret-up\": $fa-var-caret-up,\n  \"screwdriver\": $fa-var-screwdriver,\n  \"folder-closed\": $fa-var-folder-closed,\n  \"house-tsunami\": $fa-var-house-tsunami,\n  \"square-nfi\": $fa-var-square-nfi,\n  \"arrow-up-from-ground-water\": $fa-var-arrow-up-from-ground-water,\n  \"martini-glass\": $fa-var-martini-glass,\n  \"glass-martini-alt\": $fa-var-glass-martini-alt,\n  \"rotate-left\": $fa-var-rotate-left,\n  \"rotate-back\": $fa-var-rotate-back,\n  \"rotate-backward\": $fa-var-rotate-backward,\n  \"undo-alt\": $fa-var-undo-alt,\n  \"table-columns\": $fa-var-table-columns,\n  \"columns\": $fa-var-columns,\n  \"lemon\": $fa-var-lemon,\n  \"head-side-mask\": $fa-var-head-side-mask,\n  \"handshake\": $fa-var-handshake,\n  \"gem\": $fa-var-gem,\n  \"dolly\": $fa-var-dolly,\n  \"dolly-box\": $fa-var-dolly-box,\n  \"smoking\": $fa-var-smoking,\n  \"minimize\": $fa-var-minimize,\n  \"compress-arrows-alt\": $fa-var-compress-arrows-alt,\n  \"monument\": $fa-var-monument,\n  \"snowplow\": $fa-var-snowplow,\n  \"angles-right\": $fa-var-angles-right,\n  \"angle-double-right\": $fa-var-angle-double-right,\n  \"cannabis\": $fa-var-cannabis,\n  \"circle-play\": $fa-var-circle-play,\n  \"play-circle\": $fa-var-play-circle,\n  \"tablets\": $fa-var-tablets,\n  \"ethernet\": $fa-var-ethernet,\n  \"euro-sign\": $fa-var-euro-sign,\n  \"eur\": $fa-var-eur,\n  \"euro\": $fa-var-euro,\n  \"chair\": $fa-var-chair,\n  \"circle-check\": $fa-var-circle-check,\n  \"check-circle\": $fa-var-check-circle,\n  \"circle-stop\": $fa-var-circle-stop,\n  \"stop-circle\": $fa-var-stop-circle,\n  \"compass-drafting\": $fa-var-compass-drafting,\n  \"drafting-compass\": $fa-var-drafting-compass,\n  \"plate-wheat\": $fa-var-plate-wheat,\n  \"icicles\": $fa-var-icicles,\n  \"person-shelter\": $fa-var-person-shelter,\n  \"neuter\": $fa-var-neuter,\n  \"id-badge\": $fa-var-id-badge,\n  \"marker\": $fa-var-marker,\n  \"face-laugh-beam\": $fa-var-face-laugh-beam,\n  \"laugh-beam\": $fa-var-laugh-beam,\n  \"helicopter-symbol\": $fa-var-helicopter-symbol,\n  \"universal-access\": $fa-var-universal-access,\n  \"circle-chevron-up\": $fa-var-circle-chevron-up,\n  \"chevron-circle-up\": $fa-var-chevron-circle-up,\n  \"lari-sign\": $fa-var-lari-sign,\n  \"volcano\": $fa-var-volcano,\n  \"person-walking-dashed-line-arrow-right\": $fa-var-person-walking-dashed-line-arrow-right,\n  \"sterling-sign\": $fa-var-sterling-sign,\n  \"gbp\": $fa-var-gbp,\n  \"pound-sign\": $fa-var-pound-sign,\n  \"viruses\": $fa-var-viruses,\n  \"square-person-confined\": $fa-var-square-person-confined,\n  \"user-tie\": $fa-var-user-tie,\n  \"arrow-down-long\": $fa-var-arrow-down-long,\n  \"long-arrow-down\": $fa-var-long-arrow-down,\n  \"tent-arrow-down-to-line\": $fa-var-tent-arrow-down-to-line,\n  \"certificate\": $fa-var-certificate,\n  \"reply-all\": $fa-var-reply-all,\n  \"mail-reply-all\": $fa-var-mail-reply-all,\n  \"suitcase\": $fa-var-suitcase,\n  \"person-skating\": $fa-var-person-skating,\n  \"skating\": $fa-var-skating,\n  \"filter-circle-dollar\": $fa-var-filter-circle-dollar,\n  \"funnel-dollar\": $fa-var-funnel-dollar,\n  \"camera-retro\": $fa-var-camera-retro,\n  \"circle-arrow-down\": $fa-var-circle-arrow-down,\n  \"arrow-circle-down\": $fa-var-arrow-circle-down,\n  \"file-import\": $fa-var-file-import,\n  \"arrow-right-to-file\": $fa-var-arrow-right-to-file,\n  \"square-arrow-up-right\": $fa-var-square-arrow-up-right,\n  \"external-link-square\": $fa-var-external-link-square,\n  \"box-open\": $fa-var-box-open,\n  \"scroll\": $fa-var-scroll,\n  \"spa\": $fa-var-spa,\n  \"location-pin-lock\": $fa-var-location-pin-lock,\n  \"pause\": $fa-var-pause,\n  \"hill-avalanche\": $fa-var-hill-avalanche,\n  \"temperature-empty\": $fa-var-temperature-empty,\n  \"temperature-0\": $fa-var-temperature-0,\n  \"thermometer-0\": $fa-var-thermometer-0,\n  \"thermometer-empty\": $fa-var-thermometer-empty,\n  \"bomb\": $fa-var-bomb,\n  \"registered\": $fa-var-registered,\n  \"address-card\": $fa-var-address-card,\n  \"contact-card\": $fa-var-contact-card,\n  \"vcard\": $fa-var-vcard,\n  \"scale-unbalanced-flip\": $fa-var-scale-unbalanced-flip,\n  \"balance-scale-right\": $fa-var-balance-scale-right,\n  \"subscript\": $fa-var-subscript,\n  \"diamond-turn-right\": $fa-var-diamond-turn-right,\n  \"directions\": $fa-var-directions,\n  \"burst\": $fa-var-burst,\n  \"house-laptop\": $fa-var-house-laptop,\n  \"laptop-house\": $fa-var-laptop-house,\n  \"face-tired\": $fa-var-face-tired,\n  \"tired\": $fa-var-tired,\n  \"money-bills\": $fa-var-money-bills,\n  \"smog\": $fa-var-smog,\n  \"crutch\": $fa-var-crutch,\n  \"cloud-arrow-up\": $fa-var-cloud-arrow-up,\n  \"cloud-upload\": $fa-var-cloud-upload,\n  \"cloud-upload-alt\": $fa-var-cloud-upload-alt,\n  \"palette\": $fa-var-palette,\n  \"arrows-turn-right\": $fa-var-arrows-turn-right,\n  \"vest\": $fa-var-vest,\n  \"ferry\": $fa-var-ferry,\n  \"arrows-down-to-people\": $fa-var-arrows-down-to-people,\n  \"seedling\": $fa-var-seedling,\n  \"sprout\": $fa-var-sprout,\n  \"left-right\": $fa-var-left-right,\n  \"arrows-alt-h\": $fa-var-arrows-alt-h,\n  \"boxes-packing\": $fa-var-boxes-packing,\n  \"circle-arrow-left\": $fa-var-circle-arrow-left,\n  \"arrow-circle-left\": $fa-var-arrow-circle-left,\n  \"group-arrows-rotate\": $fa-var-group-arrows-rotate,\n  \"bowl-food\": $fa-var-bowl-food,\n  \"candy-cane\": $fa-var-candy-cane,\n  \"arrow-down-wide-short\": $fa-var-arrow-down-wide-short,\n  \"sort-amount-asc\": $fa-var-sort-amount-asc,\n  \"sort-amount-down\": $fa-var-sort-amount-down,\n  \"cloud-bolt\": $fa-var-cloud-bolt,\n  \"thunderstorm\": $fa-var-thunderstorm,\n  \"text-slash\": $fa-var-text-slash,\n  \"remove-format\": $fa-var-remove-format,\n  \"face-smile-wink\": $fa-var-face-smile-wink,\n  \"smile-wink\": $fa-var-smile-wink,\n  \"file-word\": $fa-var-file-word,\n  \"file-powerpoint\": $fa-var-file-powerpoint,\n  \"arrows-left-right\": $fa-var-arrows-left-right,\n  \"arrows-h\": $fa-var-arrows-h,\n  \"house-lock\": $fa-var-house-lock,\n  \"cloud-arrow-down\": $fa-var-cloud-arrow-down,\n  \"cloud-download\": $fa-var-cloud-download,\n  \"cloud-download-alt\": $fa-var-cloud-download-alt,\n  \"children\": $fa-var-children,\n  \"chalkboard\": $fa-var-chalkboard,\n  \"blackboard\": $fa-var-blackboard,\n  \"user-large-slash\": $fa-var-user-large-slash,\n  \"user-alt-slash\": $fa-var-user-alt-slash,\n  \"envelope-open\": $fa-var-envelope-open,\n  \"handshake-simple-slash\": $fa-var-handshake-simple-slash,\n  \"handshake-alt-slash\": $fa-var-handshake-alt-slash,\n  \"mattress-pillow\": $fa-var-mattress-pillow,\n  \"guarani-sign\": $fa-var-guarani-sign,\n  \"arrows-rotate\": $fa-var-arrows-rotate,\n  \"refresh\": $fa-var-refresh,\n  \"sync\": $fa-var-sync,\n  \"fire-extinguisher\": $fa-var-fire-extinguisher,\n  \"cruzeiro-sign\": $fa-var-cruzeiro-sign,\n  \"greater-than-equal\": $fa-var-greater-than-equal,\n  \"shield-halved\": $fa-var-shield-halved,\n  \"shield-alt\": $fa-var-shield-alt,\n  \"book-atlas\": $fa-var-book-atlas,\n  \"atlas\": $fa-var-atlas,\n  \"virus\": $fa-var-virus,\n  \"envelope-circle-check\": $fa-var-envelope-circle-check,\n  \"layer-group\": $fa-var-layer-group,\n  \"arrows-to-dot\": $fa-var-arrows-to-dot,\n  \"archway\": $fa-var-archway,\n  \"heart-circle-check\": $fa-var-heart-circle-check,\n  \"house-chimney-crack\": $fa-var-house-chimney-crack,\n  \"house-damage\": $fa-var-house-damage,\n  \"file-zipper\": $fa-var-file-zipper,\n  \"file-archive\": $fa-var-file-archive,\n  \"square\": $fa-var-square,\n  \"martini-glass-empty\": $fa-var-martini-glass-empty,\n  \"glass-martini\": $fa-var-glass-martini,\n  \"couch\": $fa-var-couch,\n  \"cedi-sign\": $fa-var-cedi-sign,\n  \"italic\": $fa-var-italic,\n  \"table-cells-column-lock\": $fa-var-table-cells-column-lock,\n  \"church\": $fa-var-church,\n  \"comments-dollar\": $fa-var-comments-dollar,\n  \"democrat\": $fa-var-democrat,\n  \"z\": $fa-var-z,\n  \"person-skiing\": $fa-var-person-skiing,\n  \"skiing\": $fa-var-skiing,\n  \"road-lock\": $fa-var-road-lock,\n  \"a\": $fa-var-a,\n  \"temperature-arrow-down\": $fa-var-temperature-arrow-down,\n  \"temperature-down\": $fa-var-temperature-down,\n  \"feather-pointed\": $fa-var-feather-pointed,\n  \"feather-alt\": $fa-var-feather-alt,\n  \"p\": $fa-var-p,\n  \"snowflake\": $fa-var-snowflake,\n  \"newspaper\": $fa-var-newspaper,\n  \"rectangle-ad\": $fa-var-rectangle-ad,\n  \"ad\": $fa-var-ad,\n  \"circle-arrow-right\": $fa-var-circle-arrow-right,\n  \"arrow-circle-right\": $fa-var-arrow-circle-right,\n  \"filter-circle-xmark\": $fa-var-filter-circle-xmark,\n  \"locust\": $fa-var-locust,\n  \"sort\": $fa-var-sort,\n  \"unsorted\": $fa-var-unsorted,\n  \"list-ol\": $fa-var-list-ol,\n  \"list-1-2\": $fa-var-list-1-2,\n  \"list-numeric\": $fa-var-list-numeric,\n  \"person-dress-burst\": $fa-var-person-dress-burst,\n  \"money-check-dollar\": $fa-var-money-check-dollar,\n  \"money-check-alt\": $fa-var-money-check-alt,\n  \"vector-square\": $fa-var-vector-square,\n  \"bread-slice\": $fa-var-bread-slice,\n  \"language\": $fa-var-language,\n  \"face-kiss-wink-heart\": $fa-var-face-kiss-wink-heart,\n  \"kiss-wink-heart\": $fa-var-kiss-wink-heart,\n  \"filter\": $fa-var-filter,\n  \"question\": $fa-var-question,\n  \"file-signature\": $fa-var-file-signature,\n  \"up-down-left-right\": $fa-var-up-down-left-right,\n  \"arrows-alt\": $fa-var-arrows-alt,\n  \"house-chimney-user\": $fa-var-house-chimney-user,\n  \"hand-holding-heart\": $fa-var-hand-holding-heart,\n  \"puzzle-piece\": $fa-var-puzzle-piece,\n  \"money-check\": $fa-var-money-check,\n  \"star-half-stroke\": $fa-var-star-half-stroke,\n  \"star-half-alt\": $fa-var-star-half-alt,\n  \"code\": $fa-var-code,\n  \"whiskey-glass\": $fa-var-whiskey-glass,\n  \"glass-whiskey\": $fa-var-glass-whiskey,\n  \"building-circle-exclamation\": $fa-var-building-circle-exclamation,\n  \"magnifying-glass-chart\": $fa-var-magnifying-glass-chart,\n  \"arrow-up-right-from-square\": $fa-var-arrow-up-right-from-square,\n  \"external-link\": $fa-var-external-link,\n  \"cubes-stacked\": $fa-var-cubes-stacked,\n  \"won-sign\": $fa-var-won-sign,\n  \"krw\": $fa-var-krw,\n  \"won\": $fa-var-won,\n  \"virus-covid\": $fa-var-virus-covid,\n  \"austral-sign\": $fa-var-austral-sign,\n  \"f\": $fa-var-f,\n  \"leaf\": $fa-var-leaf,\n  \"road\": $fa-var-road,\n  \"taxi\": $fa-var-taxi,\n  \"cab\": $fa-var-cab,\n  \"person-circle-plus\": $fa-var-person-circle-plus,\n  \"chart-pie\": $fa-var-chart-pie,\n  \"pie-chart\": $fa-var-pie-chart,\n  \"bolt-lightning\": $fa-var-bolt-lightning,\n  \"sack-xmark\": $fa-var-sack-xmark,\n  \"file-excel\": $fa-var-file-excel,\n  \"file-contract\": $fa-var-file-contract,\n  \"fish-fins\": $fa-var-fish-fins,\n  \"building-flag\": $fa-var-building-flag,\n  \"face-grin-beam\": $fa-var-face-grin-beam,\n  \"grin-beam\": $fa-var-grin-beam,\n  \"object-ungroup\": $fa-var-object-ungroup,\n  \"poop\": $fa-var-poop,\n  \"location-pin\": $fa-var-location-pin,\n  \"map-marker\": $fa-var-map-marker,\n  \"kaaba\": $fa-var-kaaba,\n  \"toilet-paper\": $fa-var-toilet-paper,\n  \"helmet-safety\": $fa-var-helmet-safety,\n  \"hard-hat\": $fa-var-hard-hat,\n  \"hat-hard\": $fa-var-hat-hard,\n  \"eject\": $fa-var-eject,\n  \"circle-right\": $fa-var-circle-right,\n  \"arrow-alt-circle-right\": $fa-var-arrow-alt-circle-right,\n  \"plane-circle-check\": $fa-var-plane-circle-check,\n  \"face-rolling-eyes\": $fa-var-face-rolling-eyes,\n  \"meh-rolling-eyes\": $fa-var-meh-rolling-eyes,\n  \"object-group\": $fa-var-object-group,\n  \"chart-line\": $fa-var-chart-line,\n  \"line-chart\": $fa-var-line-chart,\n  \"mask-ventilator\": $fa-var-mask-ventilator,\n  \"arrow-right\": $fa-var-arrow-right,\n  \"signs-post\": $fa-var-signs-post,\n  \"map-signs\": $fa-var-map-signs,\n  \"cash-register\": $fa-var-cash-register,\n  \"person-circle-question\": $fa-var-person-circle-question,\n  \"h\": $fa-var-h,\n  \"tarp\": $fa-var-tarp,\n  \"screwdriver-wrench\": $fa-var-screwdriver-wrench,\n  \"tools\": $fa-var-tools,\n  \"arrows-to-eye\": $fa-var-arrows-to-eye,\n  \"plug-circle-bolt\": $fa-var-plug-circle-bolt,\n  \"heart\": $fa-var-heart,\n  \"mars-and-venus\": $fa-var-mars-and-venus,\n  \"house-user\": $fa-var-house-user,\n  \"home-user\": $fa-var-home-user,\n  \"dumpster-fire\": $fa-var-dumpster-fire,\n  \"house-crack\": $fa-var-house-crack,\n  \"martini-glass-citrus\": $fa-var-martini-glass-citrus,\n  \"cocktail\": $fa-var-cocktail,\n  \"face-surprise\": $fa-var-face-surprise,\n  \"surprise\": $fa-var-surprise,\n  \"bottle-water\": $fa-var-bottle-water,\n  \"circle-pause\": $fa-var-circle-pause,\n  \"pause-circle\": $fa-var-pause-circle,\n  \"toilet-paper-slash\": $fa-var-toilet-paper-slash,\n  \"apple-whole\": $fa-var-apple-whole,\n  \"apple-alt\": $fa-var-apple-alt,\n  \"kitchen-set\": $fa-var-kitchen-set,\n  \"r\": $fa-var-r,\n  \"temperature-quarter\": $fa-var-temperature-quarter,\n  \"temperature-1\": $fa-var-temperature-1,\n  \"thermometer-1\": $fa-var-thermometer-1,\n  \"thermometer-quarter\": $fa-var-thermometer-quarter,\n  \"cube\": $fa-var-cube,\n  \"bitcoin-sign\": $fa-var-bitcoin-sign,\n  \"shield-dog\": $fa-var-shield-dog,\n  \"solar-panel\": $fa-var-solar-panel,\n  \"lock-open\": $fa-var-lock-open,\n  \"elevator\": $fa-var-elevator,\n  \"money-bill-transfer\": $fa-var-money-bill-transfer,\n  \"money-bill-trend-up\": $fa-var-money-bill-trend-up,\n  \"house-flood-water-circle-arrow-right\": $fa-var-house-flood-water-circle-arrow-right,\n  \"square-poll-horizontal\": $fa-var-square-poll-horizontal,\n  \"poll-h\": $fa-var-poll-h,\n  \"circle\": $fa-var-circle,\n  \"backward-fast\": $fa-var-backward-fast,\n  \"fast-backward\": $fa-var-fast-backward,\n  \"recycle\": $fa-var-recycle,\n  \"user-astronaut\": $fa-var-user-astronaut,\n  \"plane-slash\": $fa-var-plane-slash,\n  \"trademark\": $fa-var-trademark,\n  \"basketball\": $fa-var-basketball,\n  \"basketball-ball\": $fa-var-basketball-ball,\n  \"satellite-dish\": $fa-var-satellite-dish,\n  \"circle-up\": $fa-var-circle-up,\n  \"arrow-alt-circle-up\": $fa-var-arrow-alt-circle-up,\n  \"mobile-screen-button\": $fa-var-mobile-screen-button,\n  \"mobile-alt\": $fa-var-mobile-alt,\n  \"volume-high\": $fa-var-volume-high,\n  \"volume-up\": $fa-var-volume-up,\n  \"users-rays\": $fa-var-users-rays,\n  \"wallet\": $fa-var-wallet,\n  \"clipboard-check\": $fa-var-clipboard-check,\n  \"file-audio\": $fa-var-file-audio,\n  \"burger\": $fa-var-burger,\n  \"hamburger\": $fa-var-hamburger,\n  \"wrench\": $fa-var-wrench,\n  \"bugs\": $fa-var-bugs,\n  \"rupee-sign\": $fa-var-rupee-sign,\n  \"rupee\": $fa-var-rupee,\n  \"file-image\": $fa-var-file-image,\n  \"circle-question\": $fa-var-circle-question,\n  \"question-circle\": $fa-var-question-circle,\n  \"plane-departure\": $fa-var-plane-departure,\n  \"handshake-slash\": $fa-var-handshake-slash,\n  \"book-bookmark\": $fa-var-book-bookmark,\n  \"code-branch\": $fa-var-code-branch,\n  \"hat-cowboy\": $fa-var-hat-cowboy,\n  \"bridge\": $fa-var-bridge,\n  \"phone-flip\": $fa-var-phone-flip,\n  \"phone-alt\": $fa-var-phone-alt,\n  \"truck-front\": $fa-var-truck-front,\n  \"cat\": $fa-var-cat,\n  \"anchor-circle-exclamation\": $fa-var-anchor-circle-exclamation,\n  \"truck-field\": $fa-var-truck-field,\n  \"route\": $fa-var-route,\n  \"clipboard-question\": $fa-var-clipboard-question,\n  \"panorama\": $fa-var-panorama,\n  \"comment-medical\": $fa-var-comment-medical,\n  \"teeth-open\": $fa-var-teeth-open,\n  \"file-circle-minus\": $fa-var-file-circle-minus,\n  \"tags\": $fa-var-tags,\n  \"wine-glass\": $fa-var-wine-glass,\n  \"forward-fast\": $fa-var-forward-fast,\n  \"fast-forward\": $fa-var-fast-forward,\n  \"face-meh-blank\": $fa-var-face-meh-blank,\n  \"meh-blank\": $fa-var-meh-blank,\n  \"square-parking\": $fa-var-square-parking,\n  \"parking\": $fa-var-parking,\n  \"house-signal\": $fa-var-house-signal,\n  \"bars-progress\": $fa-var-bars-progress,\n  \"tasks-alt\": $fa-var-tasks-alt,\n  \"faucet-drip\": $fa-var-faucet-drip,\n  \"cart-flatbed\": $fa-var-cart-flatbed,\n  \"dolly-flatbed\": $fa-var-dolly-flatbed,\n  \"ban-smoking\": $fa-var-ban-smoking,\n  \"smoking-ban\": $fa-var-smoking-ban,\n  \"terminal\": $fa-var-terminal,\n  \"mobile-button\": $fa-var-mobile-button,\n  \"house-medical-flag\": $fa-var-house-medical-flag,\n  \"basket-shopping\": $fa-var-basket-shopping,\n  \"shopping-basket\": $fa-var-shopping-basket,\n  \"tape\": $fa-var-tape,\n  \"bus-simple\": $fa-var-bus-simple,\n  \"bus-alt\": $fa-var-bus-alt,\n  \"eye\": $fa-var-eye,\n  \"face-sad-cry\": $fa-var-face-sad-cry,\n  \"sad-cry\": $fa-var-sad-cry,\n  \"audio-description\": $fa-var-audio-description,\n  \"person-military-to-person\": $fa-var-person-military-to-person,\n  \"file-shield\": $fa-var-file-shield,\n  \"user-slash\": $fa-var-user-slash,\n  \"pen\": $fa-var-pen,\n  \"tower-observation\": $fa-var-tower-observation,\n  \"file-code\": $fa-var-file-code,\n  \"signal\": $fa-var-signal,\n  \"signal-5\": $fa-var-signal-5,\n  \"signal-perfect\": $fa-var-signal-perfect,\n  \"bus\": $fa-var-bus,\n  \"heart-circle-xmark\": $fa-var-heart-circle-xmark,\n  \"house-chimney\": $fa-var-house-chimney,\n  \"home-lg\": $fa-var-home-lg,\n  \"window-maximize\": $fa-var-window-maximize,\n  \"face-frown\": $fa-var-face-frown,\n  \"frown\": $fa-var-frown,\n  \"prescription\": $fa-var-prescription,\n  \"shop\": $fa-var-shop,\n  \"store-alt\": $fa-var-store-alt,\n  \"floppy-disk\": $fa-var-floppy-disk,\n  \"save\": $fa-var-save,\n  \"vihara\": $fa-var-vihara,\n  \"scale-unbalanced\": $fa-var-scale-unbalanced,\n  \"balance-scale-left\": $fa-var-balance-scale-left,\n  \"sort-up\": $fa-var-sort-up,\n  \"sort-asc\": $fa-var-sort-asc,\n  \"comment-dots\": $fa-var-comment-dots,\n  \"commenting\": $fa-var-commenting,\n  \"plant-wilt\": $fa-var-plant-wilt,\n  \"diamond\": $fa-var-diamond,\n  \"face-grin-squint\": $fa-var-face-grin-squint,\n  \"grin-squint\": $fa-var-grin-squint,\n  \"hand-holding-dollar\": $fa-var-hand-holding-dollar,\n  \"hand-holding-usd\": $fa-var-hand-holding-usd,\n  \"bacterium\": $fa-var-bacterium,\n  \"hand-pointer\": $fa-var-hand-pointer,\n  \"drum-steelpan\": $fa-var-drum-steelpan,\n  \"hand-scissors\": $fa-var-hand-scissors,\n  \"hands-praying\": $fa-var-hands-praying,\n  \"praying-hands\": $fa-var-praying-hands,\n  \"arrow-rotate-right\": $fa-var-arrow-rotate-right,\n  \"arrow-right-rotate\": $fa-var-arrow-right-rotate,\n  \"arrow-rotate-forward\": $fa-var-arrow-rotate-forward,\n  \"redo\": $fa-var-redo,\n  \"biohazard\": $fa-var-biohazard,\n  \"location-crosshairs\": $fa-var-location-crosshairs,\n  \"location\": $fa-var-location,\n  \"mars-double\": $fa-var-mars-double,\n  \"child-dress\": $fa-var-child-dress,\n  \"users-between-lines\": $fa-var-users-between-lines,\n  \"lungs-virus\": $fa-var-lungs-virus,\n  \"face-grin-tears\": $fa-var-face-grin-tears,\n  \"grin-tears\": $fa-var-grin-tears,\n  \"phone\": $fa-var-phone,\n  \"calendar-xmark\": $fa-var-calendar-xmark,\n  \"calendar-times\": $fa-var-calendar-times,\n  \"child-reaching\": $fa-var-child-reaching,\n  \"head-side-virus\": $fa-var-head-side-virus,\n  \"user-gear\": $fa-var-user-gear,\n  \"user-cog\": $fa-var-user-cog,\n  \"arrow-up-1-9\": $fa-var-arrow-up-1-9,\n  \"sort-numeric-up\": $fa-var-sort-numeric-up,\n  \"door-closed\": $fa-var-door-closed,\n  \"shield-virus\": $fa-var-shield-virus,\n  \"dice-six\": $fa-var-dice-six,\n  \"mosquito-net\": $fa-var-mosquito-net,\n  \"bridge-water\": $fa-var-bridge-water,\n  \"person-booth\": $fa-var-person-booth,\n  \"text-width\": $fa-var-text-width,\n  \"hat-wizard\": $fa-var-hat-wizard,\n  \"pen-fancy\": $fa-var-pen-fancy,\n  \"person-digging\": $fa-var-person-digging,\n  \"digging\": $fa-var-digging,\n  \"trash\": $fa-var-trash,\n  \"gauge-simple\": $fa-var-gauge-simple,\n  \"gauge-simple-med\": $fa-var-gauge-simple-med,\n  \"tachometer-average\": $fa-var-tachometer-average,\n  \"book-medical\": $fa-var-book-medical,\n  \"poo\": $fa-var-poo,\n  \"quote-right\": $fa-var-quote-right,\n  \"quote-right-alt\": $fa-var-quote-right-alt,\n  \"shirt\": $fa-var-shirt,\n  \"t-shirt\": $fa-var-t-shirt,\n  \"tshirt\": $fa-var-tshirt,\n  \"cubes\": $fa-var-cubes,\n  \"divide\": $fa-var-divide,\n  \"tenge-sign\": $fa-var-tenge-sign,\n  \"tenge\": $fa-var-tenge,\n  \"headphones\": $fa-var-headphones,\n  \"hands-holding\": $fa-var-hands-holding,\n  \"hands-clapping\": $fa-var-hands-clapping,\n  \"republican\": $fa-var-republican,\n  \"arrow-left\": $fa-var-arrow-left,\n  \"person-circle-xmark\": $fa-var-person-circle-xmark,\n  \"ruler\": $fa-var-ruler,\n  \"align-left\": $fa-var-align-left,\n  \"dice-d6\": $fa-var-dice-d6,\n  \"restroom\": $fa-var-restroom,\n  \"j\": $fa-var-j,\n  \"users-viewfinder\": $fa-var-users-viewfinder,\n  \"file-video\": $fa-var-file-video,\n  \"up-right-from-square\": $fa-var-up-right-from-square,\n  \"external-link-alt\": $fa-var-external-link-alt,\n  \"table-cells\": $fa-var-table-cells,\n  \"th\": $fa-var-th,\n  \"file-pdf\": $fa-var-file-pdf,\n  \"book-bible\": $fa-var-book-bible,\n  \"bible\": $fa-var-bible,\n  \"o\": $fa-var-o,\n  \"suitcase-medical\": $fa-var-suitcase-medical,\n  \"medkit\": $fa-var-medkit,\n  \"user-secret\": $fa-var-user-secret,\n  \"otter\": $fa-var-otter,\n  \"person-dress\": $fa-var-person-dress,\n  \"female\": $fa-var-female,\n  \"comment-dollar\": $fa-var-comment-dollar,\n  \"business-time\": $fa-var-business-time,\n  \"briefcase-clock\": $fa-var-briefcase-clock,\n  \"table-cells-large\": $fa-var-table-cells-large,\n  \"th-large\": $fa-var-th-large,\n  \"book-tanakh\": $fa-var-book-tanakh,\n  \"tanakh\": $fa-var-tanakh,\n  \"phone-volume\": $fa-var-phone-volume,\n  \"volume-control-phone\": $fa-var-volume-control-phone,\n  \"hat-cowboy-side\": $fa-var-hat-cowboy-side,\n  \"clipboard-user\": $fa-var-clipboard-user,\n  \"child\": $fa-var-child,\n  \"lira-sign\": $fa-var-lira-sign,\n  \"satellite\": $fa-var-satellite,\n  \"plane-lock\": $fa-var-plane-lock,\n  \"tag\": $fa-var-tag,\n  \"comment\": $fa-var-comment,\n  \"cake-candles\": $fa-var-cake-candles,\n  \"birthday-cake\": $fa-var-birthday-cake,\n  \"cake\": $fa-var-cake,\n  \"envelope\": $fa-var-envelope,\n  \"angles-up\": $fa-var-angles-up,\n  \"angle-double-up\": $fa-var-angle-double-up,\n  \"paperclip\": $fa-var-paperclip,\n  \"arrow-right-to-city\": $fa-var-arrow-right-to-city,\n  \"ribbon\": $fa-var-ribbon,\n  \"lungs\": $fa-var-lungs,\n  \"arrow-up-9-1\": $fa-var-arrow-up-9-1,\n  \"sort-numeric-up-alt\": $fa-var-sort-numeric-up-alt,\n  \"litecoin-sign\": $fa-var-litecoin-sign,\n  \"border-none\": $fa-var-border-none,\n  \"circle-nodes\": $fa-var-circle-nodes,\n  \"parachute-box\": $fa-var-parachute-box,\n  \"indent\": $fa-var-indent,\n  \"truck-field-un\": $fa-var-truck-field-un,\n  \"hourglass\": $fa-var-hourglass,\n  \"hourglass-empty\": $fa-var-hourglass-empty,\n  \"mountain\": $fa-var-mountain,\n  \"user-doctor\": $fa-var-user-doctor,\n  \"user-md\": $fa-var-user-md,\n  \"circle-info\": $fa-var-circle-info,\n  \"info-circle\": $fa-var-info-circle,\n  \"cloud-meatball\": $fa-var-cloud-meatball,\n  \"camera\": $fa-var-camera,\n  \"camera-alt\": $fa-var-camera-alt,\n  \"square-virus\": $fa-var-square-virus,\n  \"meteor\": $fa-var-meteor,\n  \"car-on\": $fa-var-car-on,\n  \"sleigh\": $fa-var-sleigh,\n  \"arrow-down-1-9\": $fa-var-arrow-down-1-9,\n  \"sort-numeric-asc\": $fa-var-sort-numeric-asc,\n  \"sort-numeric-down\": $fa-var-sort-numeric-down,\n  \"hand-holding-droplet\": $fa-var-hand-holding-droplet,\n  \"hand-holding-water\": $fa-var-hand-holding-water,\n  \"water\": $fa-var-water,\n  \"calendar-check\": $fa-var-calendar-check,\n  \"braille\": $fa-var-braille,\n  \"prescription-bottle-medical\": $fa-var-prescription-bottle-medical,\n  \"prescription-bottle-alt\": $fa-var-prescription-bottle-alt,\n  \"landmark\": $fa-var-landmark,\n  \"truck\": $fa-var-truck,\n  \"crosshairs\": $fa-var-crosshairs,\n  \"person-cane\": $fa-var-person-cane,\n  \"tent\": $fa-var-tent,\n  \"vest-patches\": $fa-var-vest-patches,\n  \"check-double\": $fa-var-check-double,\n  \"arrow-down-a-z\": $fa-var-arrow-down-a-z,\n  \"sort-alpha-asc\": $fa-var-sort-alpha-asc,\n  \"sort-alpha-down\": $fa-var-sort-alpha-down,\n  \"money-bill-wheat\": $fa-var-money-bill-wheat,\n  \"cookie\": $fa-var-cookie,\n  \"arrow-rotate-left\": $fa-var-arrow-rotate-left,\n  \"arrow-left-rotate\": $fa-var-arrow-left-rotate,\n  \"arrow-rotate-back\": $fa-var-arrow-rotate-back,\n  \"arrow-rotate-backward\": $fa-var-arrow-rotate-backward,\n  \"undo\": $fa-var-undo,\n  \"hard-drive\": $fa-var-hard-drive,\n  \"hdd\": $fa-var-hdd,\n  \"face-grin-squint-tears\": $fa-var-face-grin-squint-tears,\n  \"grin-squint-tears\": $fa-var-grin-squint-tears,\n  \"dumbbell\": $fa-var-dumbbell,\n  \"rectangle-list\": $fa-var-rectangle-list,\n  \"list-alt\": $fa-var-list-alt,\n  \"tarp-droplet\": $fa-var-tarp-droplet,\n  \"house-medical-circle-check\": $fa-var-house-medical-circle-check,\n  \"person-skiing-nordic\": $fa-var-person-skiing-nordic,\n  \"skiing-nordic\": $fa-var-skiing-nordic,\n  \"calendar-plus\": $fa-var-calendar-plus,\n  \"plane-arrival\": $fa-var-plane-arrival,\n  \"circle-left\": $fa-var-circle-left,\n  \"arrow-alt-circle-left\": $fa-var-arrow-alt-circle-left,\n  \"train-subway\": $fa-var-train-subway,\n  \"subway\": $fa-var-subway,\n  \"chart-gantt\": $fa-var-chart-gantt,\n  \"indian-rupee-sign\": $fa-var-indian-rupee-sign,\n  \"indian-rupee\": $fa-var-indian-rupee,\n  \"inr\": $fa-var-inr,\n  \"crop-simple\": $fa-var-crop-simple,\n  \"crop-alt\": $fa-var-crop-alt,\n  \"money-bill-1\": $fa-var-money-bill-1,\n  \"money-bill-alt\": $fa-var-money-bill-alt,\n  \"left-long\": $fa-var-left-long,\n  \"long-arrow-alt-left\": $fa-var-long-arrow-alt-left,\n  \"dna\": $fa-var-dna,\n  \"virus-slash\": $fa-var-virus-slash,\n  \"minus\": $fa-var-minus,\n  \"subtract\": $fa-var-subtract,\n  \"chess\": $fa-var-chess,\n  \"arrow-left-long\": $fa-var-arrow-left-long,\n  \"long-arrow-left\": $fa-var-long-arrow-left,\n  \"plug-circle-check\": $fa-var-plug-circle-check,\n  \"street-view\": $fa-var-street-view,\n  \"franc-sign\": $fa-var-franc-sign,\n  \"volume-off\": $fa-var-volume-off,\n  \"hands-asl-interpreting\": $fa-var-hands-asl-interpreting,\n  \"american-sign-language-interpreting\": $fa-var-american-sign-language-interpreting,\n  \"asl-interpreting\": $fa-var-asl-interpreting,\n  \"hands-american-sign-language-interpreting\": $fa-var-hands-american-sign-language-interpreting,\n  \"gear\": $fa-var-gear,\n  \"cog\": $fa-var-cog,\n  \"droplet-slash\": $fa-var-droplet-slash,\n  \"tint-slash\": $fa-var-tint-slash,\n  \"mosque\": $fa-var-mosque,\n  \"mosquito\": $fa-var-mosquito,\n  \"star-of-david\": $fa-var-star-of-david,\n  \"person-military-rifle\": $fa-var-person-military-rifle,\n  \"cart-shopping\": $fa-var-cart-shopping,\n  \"shopping-cart\": $fa-var-shopping-cart,\n  \"vials\": $fa-var-vials,\n  \"plug-circle-plus\": $fa-var-plug-circle-plus,\n  \"place-of-worship\": $fa-var-place-of-worship,\n  \"grip-vertical\": $fa-var-grip-vertical,\n  \"arrow-turn-up\": $fa-var-arrow-turn-up,\n  \"level-up\": $fa-var-level-up,\n  \"u\": $fa-var-u,\n  \"square-root-variable\": $fa-var-square-root-variable,\n  \"square-root-alt\": $fa-var-square-root-alt,\n  \"clock\": $fa-var-clock,\n  \"clock-four\": $fa-var-clock-four,\n  \"backward-step\": $fa-var-backward-step,\n  \"step-backward\": $fa-var-step-backward,\n  \"pallet\": $fa-var-pallet,\n  \"faucet\": $fa-var-faucet,\n  \"baseball-bat-ball\": $fa-var-baseball-bat-ball,\n  \"s\": $fa-var-s,\n  \"timeline\": $fa-var-timeline,\n  \"keyboard\": $fa-var-keyboard,\n  \"caret-down\": $fa-var-caret-down,\n  \"house-chimney-medical\": $fa-var-house-chimney-medical,\n  \"clinic-medical\": $fa-var-clinic-medical,\n  \"temperature-three-quarters\": $fa-var-temperature-three-quarters,\n  \"temperature-3\": $fa-var-temperature-3,\n  \"thermometer-3\": $fa-var-thermometer-3,\n  \"thermometer-three-quarters\": $fa-var-thermometer-three-quarters,\n  \"mobile-screen\": $fa-var-mobile-screen,\n  \"mobile-android-alt\": $fa-var-mobile-android-alt,\n  \"plane-up\": $fa-var-plane-up,\n  \"piggy-bank\": $fa-var-piggy-bank,\n  \"battery-half\": $fa-var-battery-half,\n  \"battery-3\": $fa-var-battery-3,\n  \"mountain-city\": $fa-var-mountain-city,\n  \"coins\": $fa-var-coins,\n  \"khanda\": $fa-var-khanda,\n  \"sliders\": $fa-var-sliders,\n  \"sliders-h\": $fa-var-sliders-h,\n  \"folder-tree\": $fa-var-folder-tree,\n  \"network-wired\": $fa-var-network-wired,\n  \"map-pin\": $fa-var-map-pin,\n  \"hamsa\": $fa-var-hamsa,\n  \"cent-sign\": $fa-var-cent-sign,\n  \"flask\": $fa-var-flask,\n  \"person-pregnant\": $fa-var-person-pregnant,\n  \"wand-sparkles\": $fa-var-wand-sparkles,\n  \"ellipsis-vertical\": $fa-var-ellipsis-vertical,\n  \"ellipsis-v\": $fa-var-ellipsis-v,\n  \"ticket\": $fa-var-ticket,\n  \"power-off\": $fa-var-power-off,\n  \"right-long\": $fa-var-right-long,\n  \"long-arrow-alt-right\": $fa-var-long-arrow-alt-right,\n  \"flag-usa\": $fa-var-flag-usa,\n  \"laptop-file\": $fa-var-laptop-file,\n  \"tty\": $fa-var-tty,\n  \"teletype\": $fa-var-teletype,\n  \"diagram-next\": $fa-var-diagram-next,\n  \"person-rifle\": $fa-var-person-rifle,\n  \"house-medical-circle-exclamation\": $fa-var-house-medical-circle-exclamation,\n  \"closed-captioning\": $fa-var-closed-captioning,\n  \"person-hiking\": $fa-var-person-hiking,\n  \"hiking\": $fa-var-hiking,\n  \"venus-double\": $fa-var-venus-double,\n  \"images\": $fa-var-images,\n  \"calculator\": $fa-var-calculator,\n  \"people-pulling\": $fa-var-people-pulling,\n  \"n\": $fa-var-n,\n  \"cable-car\": $fa-var-cable-car,\n  \"tram\": $fa-var-tram,\n  \"cloud-rain\": $fa-var-cloud-rain,\n  \"building-circle-xmark\": $fa-var-building-circle-xmark,\n  \"ship\": $fa-var-ship,\n  \"arrows-down-to-line\": $fa-var-arrows-down-to-line,\n  \"download\": $fa-var-download,\n  \"face-grin\": $fa-var-face-grin,\n  \"grin\": $fa-var-grin,\n  \"delete-left\": $fa-var-delete-left,\n  \"backspace\": $fa-var-backspace,\n  \"eye-dropper\": $fa-var-eye-dropper,\n  \"eye-dropper-empty\": $fa-var-eye-dropper-empty,\n  \"eyedropper\": $fa-var-eyedropper,\n  \"file-circle-check\": $fa-var-file-circle-check,\n  \"forward\": $fa-var-forward,\n  \"mobile\": $fa-var-mobile,\n  \"mobile-android\": $fa-var-mobile-android,\n  \"mobile-phone\": $fa-var-mobile-phone,\n  \"face-meh\": $fa-var-face-meh,\n  \"meh\": $fa-var-meh,\n  \"align-center\": $fa-var-align-center,\n  \"book-skull\": $fa-var-book-skull,\n  \"book-dead\": $fa-var-book-dead,\n  \"id-card\": $fa-var-id-card,\n  \"drivers-license\": $fa-var-drivers-license,\n  \"outdent\": $fa-var-outdent,\n  \"dedent\": $fa-var-dedent,\n  \"heart-circle-exclamation\": $fa-var-heart-circle-exclamation,\n  \"house\": $fa-var-house,\n  \"home\": $fa-var-home,\n  \"home-alt\": $fa-var-home-alt,\n  \"home-lg-alt\": $fa-var-home-lg-alt,\n  \"calendar-week\": $fa-var-calendar-week,\n  \"laptop-medical\": $fa-var-laptop-medical,\n  \"b\": $fa-var-b,\n  \"file-medical\": $fa-var-file-medical,\n  \"dice-one\": $fa-var-dice-one,\n  \"kiwi-bird\": $fa-var-kiwi-bird,\n  \"arrow-right-arrow-left\": $fa-var-arrow-right-arrow-left,\n  \"exchange\": $fa-var-exchange,\n  \"rotate-right\": $fa-var-rotate-right,\n  \"redo-alt\": $fa-var-redo-alt,\n  \"rotate-forward\": $fa-var-rotate-forward,\n  \"utensils\": $fa-var-utensils,\n  \"cutlery\": $fa-var-cutlery,\n  \"arrow-up-wide-short\": $fa-var-arrow-up-wide-short,\n  \"sort-amount-up\": $fa-var-sort-amount-up,\n  \"mill-sign\": $fa-var-mill-sign,\n  \"bowl-rice\": $fa-var-bowl-rice,\n  \"skull\": $fa-var-skull,\n  \"tower-broadcast\": $fa-var-tower-broadcast,\n  \"broadcast-tower\": $fa-var-broadcast-tower,\n  \"truck-pickup\": $fa-var-truck-pickup,\n  \"up-long\": $fa-var-up-long,\n  \"long-arrow-alt-up\": $fa-var-long-arrow-alt-up,\n  \"stop\": $fa-var-stop,\n  \"code-merge\": $fa-var-code-merge,\n  \"upload\": $fa-var-upload,\n  \"hurricane\": $fa-var-hurricane,\n  \"mound\": $fa-var-mound,\n  \"toilet-portable\": $fa-var-toilet-portable,\n  \"compact-disc\": $fa-var-compact-disc,\n  \"file-arrow-down\": $fa-var-file-arrow-down,\n  \"file-download\": $fa-var-file-download,\n  \"caravan\": $fa-var-caravan,\n  \"shield-cat\": $fa-var-shield-cat,\n  \"bolt\": $fa-var-bolt,\n  \"zap\": $fa-var-zap,\n  \"glass-water\": $fa-var-glass-water,\n  \"oil-well\": $fa-var-oil-well,\n  \"vault\": $fa-var-vault,\n  \"mars\": $fa-var-mars,\n  \"toilet\": $fa-var-toilet,\n  \"plane-circle-xmark\": $fa-var-plane-circle-xmark,\n  \"yen-sign\": $fa-var-yen-sign,\n  \"cny\": $fa-var-cny,\n  \"jpy\": $fa-var-jpy,\n  \"rmb\": $fa-var-rmb,\n  \"yen\": $fa-var-yen,\n  \"ruble-sign\": $fa-var-ruble-sign,\n  \"rouble\": $fa-var-rouble,\n  \"rub\": $fa-var-rub,\n  \"ruble\": $fa-var-ruble,\n  \"sun\": $fa-var-sun,\n  \"guitar\": $fa-var-guitar,\n  \"face-laugh-wink\": $fa-var-face-laugh-wink,\n  \"laugh-wink\": $fa-var-laugh-wink,\n  \"horse-head\": $fa-var-horse-head,\n  \"bore-hole\": $fa-var-bore-hole,\n  \"industry\": $fa-var-industry,\n  \"circle-down\": $fa-var-circle-down,\n  \"arrow-alt-circle-down\": $fa-var-arrow-alt-circle-down,\n  \"arrows-turn-to-dots\": $fa-var-arrows-turn-to-dots,\n  \"florin-sign\": $fa-var-florin-sign,\n  \"arrow-down-short-wide\": $fa-var-arrow-down-short-wide,\n  \"sort-amount-desc\": $fa-var-sort-amount-desc,\n  \"sort-amount-down-alt\": $fa-var-sort-amount-down-alt,\n  \"less-than\": $fa-var-less-than,\n  \"angle-down\": $fa-var-angle-down,\n  \"car-tunnel\": $fa-var-car-tunnel,\n  \"head-side-cough\": $fa-var-head-side-cough,\n  \"grip-lines\": $fa-var-grip-lines,\n  \"thumbs-down\": $fa-var-thumbs-down,\n  \"user-lock\": $fa-var-user-lock,\n  \"arrow-right-long\": $fa-var-arrow-right-long,\n  \"long-arrow-right\": $fa-var-long-arrow-right,\n  \"anchor-circle-xmark\": $fa-var-anchor-circle-xmark,\n  \"ellipsis\": $fa-var-ellipsis,\n  \"ellipsis-h\": $fa-var-ellipsis-h,\n  \"chess-pawn\": $fa-var-chess-pawn,\n  \"kit-medical\": $fa-var-kit-medical,\n  \"first-aid\": $fa-var-first-aid,\n  \"person-through-window\": $fa-var-person-through-window,\n  \"toolbox\": $fa-var-toolbox,\n  \"hands-holding-circle\": $fa-var-hands-holding-circle,\n  \"bug\": $fa-var-bug,\n  \"credit-card\": $fa-var-credit-card,\n  \"credit-card-alt\": $fa-var-credit-card-alt,\n  \"car\": $fa-var-car,\n  \"automobile\": $fa-var-automobile,\n  \"hand-holding-hand\": $fa-var-hand-holding-hand,\n  \"book-open-reader\": $fa-var-book-open-reader,\n  \"book-reader\": $fa-var-book-reader,\n  \"mountain-sun\": $fa-var-mountain-sun,\n  \"arrows-left-right-to-line\": $fa-var-arrows-left-right-to-line,\n  \"dice-d20\": $fa-var-dice-d20,\n  \"truck-droplet\": $fa-var-truck-droplet,\n  \"file-circle-xmark\": $fa-var-file-circle-xmark,\n  \"temperature-arrow-up\": $fa-var-temperature-arrow-up,\n  \"temperature-up\": $fa-var-temperature-up,\n  \"medal\": $fa-var-medal,\n  \"bed\": $fa-var-bed,\n  \"square-h\": $fa-var-square-h,\n  \"h-square\": $fa-var-h-square,\n  \"podcast\": $fa-var-podcast,\n  \"temperature-full\": $fa-var-temperature-full,\n  \"temperature-4\": $fa-var-temperature-4,\n  \"thermometer-4\": $fa-var-thermometer-4,\n  \"thermometer-full\": $fa-var-thermometer-full,\n  \"bell\": $fa-var-bell,\n  \"superscript\": $fa-var-superscript,\n  \"plug-circle-xmark\": $fa-var-plug-circle-xmark,\n  \"star-of-life\": $fa-var-star-of-life,\n  \"phone-slash\": $fa-var-phone-slash,\n  \"paint-roller\": $fa-var-paint-roller,\n  \"handshake-angle\": $fa-var-handshake-angle,\n  \"hands-helping\": $fa-var-hands-helping,\n  \"location-dot\": $fa-var-location-dot,\n  \"map-marker-alt\": $fa-var-map-marker-alt,\n  \"file\": $fa-var-file,\n  \"greater-than\": $fa-var-greater-than,\n  \"person-swimming\": $fa-var-person-swimming,\n  \"swimmer\": $fa-var-swimmer,\n  \"arrow-down\": $fa-var-arrow-down,\n  \"droplet\": $fa-var-droplet,\n  \"tint\": $fa-var-tint,\n  \"eraser\": $fa-var-eraser,\n  \"earth-americas\": $fa-var-earth-americas,\n  \"earth\": $fa-var-earth,\n  \"earth-america\": $fa-var-earth-america,\n  \"globe-americas\": $fa-var-globe-americas,\n  \"person-burst\": $fa-var-person-burst,\n  \"dove\": $fa-var-dove,\n  \"battery-empty\": $fa-var-battery-empty,\n  \"battery-0\": $fa-var-battery-0,\n  \"socks\": $fa-var-socks,\n  \"inbox\": $fa-var-inbox,\n  \"section\": $fa-var-section,\n  \"gauge-high\": $fa-var-gauge-high,\n  \"tachometer-alt\": $fa-var-tachometer-alt,\n  \"tachometer-alt-fast\": $fa-var-tachometer-alt-fast,\n  \"envelope-open-text\": $fa-var-envelope-open-text,\n  \"hospital\": $fa-var-hospital,\n  \"hospital-alt\": $fa-var-hospital-alt,\n  \"hospital-wide\": $fa-var-hospital-wide,\n  \"wine-bottle\": $fa-var-wine-bottle,\n  \"chess-rook\": $fa-var-chess-rook,\n  \"bars-staggered\": $fa-var-bars-staggered,\n  \"reorder\": $fa-var-reorder,\n  \"stream\": $fa-var-stream,\n  \"dharmachakra\": $fa-var-dharmachakra,\n  \"hotdog\": $fa-var-hotdog,\n  \"person-walking-with-cane\": $fa-var-person-walking-with-cane,\n  \"blind\": $fa-var-blind,\n  \"drum\": $fa-var-drum,\n  \"ice-cream\": $fa-var-ice-cream,\n  \"heart-circle-bolt\": $fa-var-heart-circle-bolt,\n  \"fax\": $fa-var-fax,\n  \"paragraph\": $fa-var-paragraph,\n  \"check-to-slot\": $fa-var-check-to-slot,\n  \"vote-yea\": $fa-var-vote-yea,\n  \"star-half\": $fa-var-star-half,\n  \"boxes-stacked\": $fa-var-boxes-stacked,\n  \"boxes\": $fa-var-boxes,\n  \"boxes-alt\": $fa-var-boxes-alt,\n  \"link\": $fa-var-link,\n  \"chain\": $fa-var-chain,\n  \"ear-listen\": $fa-var-ear-listen,\n  \"assistive-listening-systems\": $fa-var-assistive-listening-systems,\n  \"tree-city\": $fa-var-tree-city,\n  \"play\": $fa-var-play,\n  \"font\": $fa-var-font,\n  \"table-cells-row-lock\": $fa-var-table-cells-row-lock,\n  \"rupiah-sign\": $fa-var-rupiah-sign,\n  \"magnifying-glass\": $fa-var-magnifying-glass,\n  \"search\": $fa-var-search,\n  \"table-tennis-paddle-ball\": $fa-var-table-tennis-paddle-ball,\n  \"ping-pong-paddle-ball\": $fa-var-ping-pong-paddle-ball,\n  \"table-tennis\": $fa-var-table-tennis,\n  \"person-dots-from-line\": $fa-var-person-dots-from-line,\n  \"diagnoses\": $fa-var-diagnoses,\n  \"trash-can-arrow-up\": $fa-var-trash-can-arrow-up,\n  \"trash-restore-alt\": $fa-var-trash-restore-alt,\n  \"naira-sign\": $fa-var-naira-sign,\n  \"cart-arrow-down\": $fa-var-cart-arrow-down,\n  \"walkie-talkie\": $fa-var-walkie-talkie,\n  \"file-pen\": $fa-var-file-pen,\n  \"file-edit\": $fa-var-file-edit,\n  \"receipt\": $fa-var-receipt,\n  \"square-pen\": $fa-var-square-pen,\n  \"pen-square\": $fa-var-pen-square,\n  \"pencil-square\": $fa-var-pencil-square,\n  \"suitcase-rolling\": $fa-var-suitcase-rolling,\n  \"person-circle-exclamation\": $fa-var-person-circle-exclamation,\n  \"chevron-down\": $fa-var-chevron-down,\n  \"battery-full\": $fa-var-battery-full,\n  \"battery\": $fa-var-battery,\n  \"battery-5\": $fa-var-battery-5,\n  \"skull-crossbones\": $fa-var-skull-crossbones,\n  \"code-compare\": $fa-var-code-compare,\n  \"list-ul\": $fa-var-list-ul,\n  \"list-dots\": $fa-var-list-dots,\n  \"school-lock\": $fa-var-school-lock,\n  \"tower-cell\": $fa-var-tower-cell,\n  \"down-long\": $fa-var-down-long,\n  \"long-arrow-alt-down\": $fa-var-long-arrow-alt-down,\n  \"ranking-star\": $fa-var-ranking-star,\n  \"chess-king\": $fa-var-chess-king,\n  \"person-harassing\": $fa-var-person-harassing,\n  \"brazilian-real-sign\": $fa-var-brazilian-real-sign,\n  \"landmark-dome\": $fa-var-landmark-dome,\n  \"landmark-alt\": $fa-var-landmark-alt,\n  \"arrow-up\": $fa-var-arrow-up,\n  \"tv\": $fa-var-tv,\n  \"television\": $fa-var-television,\n  \"tv-alt\": $fa-var-tv-alt,\n  \"shrimp\": $fa-var-shrimp,\n  \"list-check\": $fa-var-list-check,\n  \"tasks\": $fa-var-tasks,\n  \"jug-detergent\": $fa-var-jug-detergent,\n  \"circle-user\": $fa-var-circle-user,\n  \"user-circle\": $fa-var-user-circle,\n  \"user-shield\": $fa-var-user-shield,\n  \"wind\": $fa-var-wind,\n  \"car-burst\": $fa-var-car-burst,\n  \"car-crash\": $fa-var-car-crash,\n  \"y\": $fa-var-y,\n  \"person-snowboarding\": $fa-var-person-snowboarding,\n  \"snowboarding\": $fa-var-snowboarding,\n  \"truck-fast\": $fa-var-truck-fast,\n  \"shipping-fast\": $fa-var-shipping-fast,\n  \"fish\": $fa-var-fish,\n  \"user-graduate\": $fa-var-user-graduate,\n  \"circle-half-stroke\": $fa-var-circle-half-stroke,\n  \"adjust\": $fa-var-adjust,\n  \"clapperboard\": $fa-var-clapperboard,\n  \"circle-radiation\": $fa-var-circle-radiation,\n  \"radiation-alt\": $fa-var-radiation-alt,\n  \"baseball\": $fa-var-baseball,\n  \"baseball-ball\": $fa-var-baseball-ball,\n  \"jet-fighter-up\": $fa-var-jet-fighter-up,\n  \"diagram-project\": $fa-var-diagram-project,\n  \"project-diagram\": $fa-var-project-diagram,\n  \"copy\": $fa-var-copy,\n  \"volume-xmark\": $fa-var-volume-xmark,\n  \"volume-mute\": $fa-var-volume-mute,\n  \"volume-times\": $fa-var-volume-times,\n  \"hand-sparkles\": $fa-var-hand-sparkles,\n  \"grip\": $fa-var-grip,\n  \"grip-horizontal\": $fa-var-grip-horizontal,\n  \"share-from-square\": $fa-var-share-from-square,\n  \"share-square\": $fa-var-share-square,\n  \"child-combatant\": $fa-var-child-combatant,\n  \"child-rifle\": $fa-var-child-rifle,\n  \"gun\": $fa-var-gun,\n  \"square-phone\": $fa-var-square-phone,\n  \"phone-square\": $fa-var-phone-square,\n  \"plus\": $fa-var-plus,\n  \"add\": $fa-var-add,\n  \"expand\": $fa-var-expand,\n  \"computer\": $fa-var-computer,\n  \"xmark\": $fa-var-xmark,\n  \"close\": $fa-var-close,\n  \"multiply\": $fa-var-multiply,\n  \"remove\": $fa-var-remove,\n  \"times\": $fa-var-times,\n  \"arrows-up-down-left-right\": $fa-var-arrows-up-down-left-right,\n  \"arrows\": $fa-var-arrows,\n  \"chalkboard-user\": $fa-var-chalkboard-user,\n  \"chalkboard-teacher\": $fa-var-chalkboard-teacher,\n  \"peso-sign\": $fa-var-peso-sign,\n  \"building-shield\": $fa-var-building-shield,\n  \"baby\": $fa-var-baby,\n  \"users-line\": $fa-var-users-line,\n  \"quote-left\": $fa-var-quote-left,\n  \"quote-left-alt\": $fa-var-quote-left-alt,\n  \"tractor\": $fa-var-tractor,\n  \"trash-arrow-up\": $fa-var-trash-arrow-up,\n  \"trash-restore\": $fa-var-trash-restore,\n  \"arrow-down-up-lock\": $fa-var-arrow-down-up-lock,\n  \"lines-leaning\": $fa-var-lines-leaning,\n  \"ruler-combined\": $fa-var-ruler-combined,\n  \"copyright\": $fa-var-copyright,\n  \"equals\": $fa-var-equals,\n  \"blender\": $fa-var-blender,\n  \"teeth\": $fa-var-teeth,\n  \"shekel-sign\": $fa-var-shekel-sign,\n  \"ils\": $fa-var-ils,\n  \"shekel\": $fa-var-shekel,\n  \"sheqel\": $fa-var-sheqel,\n  \"sheqel-sign\": $fa-var-sheqel-sign,\n  \"map\": $fa-var-map,\n  \"rocket\": $fa-var-rocket,\n  \"photo-film\": $fa-var-photo-film,\n  \"photo-video\": $fa-var-photo-video,\n  \"folder-minus\": $fa-var-folder-minus,\n  \"store\": $fa-var-store,\n  \"arrow-trend-up\": $fa-var-arrow-trend-up,\n  \"plug-circle-minus\": $fa-var-plug-circle-minus,\n  \"sign-hanging\": $fa-var-sign-hanging,\n  \"sign\": $fa-var-sign,\n  \"bezier-curve\": $fa-var-bezier-curve,\n  \"bell-slash\": $fa-var-bell-slash,\n  \"tablet\": $fa-var-tablet,\n  \"tablet-android\": $fa-var-tablet-android,\n  \"school-flag\": $fa-var-school-flag,\n  \"fill\": $fa-var-fill,\n  \"angle-up\": $fa-var-angle-up,\n  \"drumstick-bite\": $fa-var-drumstick-bite,\n  \"holly-berry\": $fa-var-holly-berry,\n  \"chevron-left\": $fa-var-chevron-left,\n  \"bacteria\": $fa-var-bacteria,\n  \"hand-lizard\": $fa-var-hand-lizard,\n  \"notdef\": $fa-var-notdef,\n  \"disease\": $fa-var-disease,\n  \"briefcase-medical\": $fa-var-briefcase-medical,\n  \"genderless\": $fa-var-genderless,\n  \"chevron-right\": $fa-var-chevron-right,\n  \"retweet\": $fa-var-retweet,\n  \"car-rear\": $fa-var-car-rear,\n  \"car-alt\": $fa-var-car-alt,\n  \"pump-soap\": $fa-var-pump-soap,\n  \"video-slash\": $fa-var-video-slash,\n  \"battery-quarter\": $fa-var-battery-quarter,\n  \"battery-2\": $fa-var-battery-2,\n  \"radio\": $fa-var-radio,\n  \"baby-carriage\": $fa-var-baby-carriage,\n  \"carriage-baby\": $fa-var-carriage-baby,\n  \"traffic-light\": $fa-var-traffic-light,\n  \"thermometer\": $fa-var-thermometer,\n  \"vr-cardboard\": $fa-var-vr-cardboard,\n  \"hand-middle-finger\": $fa-var-hand-middle-finger,\n  \"percent\": $fa-var-percent,\n  \"percentage\": $fa-var-percentage,\n  \"truck-moving\": $fa-var-truck-moving,\n  \"glass-water-droplet\": $fa-var-glass-water-droplet,\n  \"display\": $fa-var-display,\n  \"face-smile\": $fa-var-face-smile,\n  \"smile\": $fa-var-smile,\n  \"thumbtack\": $fa-var-thumbtack,\n  \"thumb-tack\": $fa-var-thumb-tack,\n  \"trophy\": $fa-var-trophy,\n  \"person-praying\": $fa-var-person-praying,\n  \"pray\": $fa-var-pray,\n  \"hammer\": $fa-var-hammer,\n  \"hand-peace\": $fa-var-hand-peace,\n  \"rotate\": $fa-var-rotate,\n  \"sync-alt\": $fa-var-sync-alt,\n  \"spinner\": $fa-var-spinner,\n  \"robot\": $fa-var-robot,\n  \"peace\": $fa-var-peace,\n  \"gears\": $fa-var-gears,\n  \"cogs\": $fa-var-cogs,\n  \"warehouse\": $fa-var-warehouse,\n  \"arrow-up-right-dots\": $fa-var-arrow-up-right-dots,\n  \"splotch\": $fa-var-splotch,\n  \"face-grin-hearts\": $fa-var-face-grin-hearts,\n  \"grin-hearts\": $fa-var-grin-hearts,\n  \"dice-four\": $fa-var-dice-four,\n  \"sim-card\": $fa-var-sim-card,\n  \"transgender\": $fa-var-transgender,\n  \"transgender-alt\": $fa-var-transgender-alt,\n  \"mercury\": $fa-var-mercury,\n  \"arrow-turn-down\": $fa-var-arrow-turn-down,\n  \"level-down\": $fa-var-level-down,\n  \"person-falling-burst\": $fa-var-person-falling-burst,\n  \"award\": $fa-var-award,\n  \"ticket-simple\": $fa-var-ticket-simple,\n  \"ticket-alt\": $fa-var-ticket-alt,\n  \"building\": $fa-var-building,\n  \"angles-left\": $fa-var-angles-left,\n  \"angle-double-left\": $fa-var-angle-double-left,\n  \"qrcode\": $fa-var-qrcode,\n  \"clock-rotate-left\": $fa-var-clock-rotate-left,\n  \"history\": $fa-var-history,\n  \"face-grin-beam-sweat\": $fa-var-face-grin-beam-sweat,\n  \"grin-beam-sweat\": $fa-var-grin-beam-sweat,\n  \"file-export\": $fa-var-file-export,\n  \"arrow-right-from-file\": $fa-var-arrow-right-from-file,\n  \"shield\": $fa-var-shield,\n  \"shield-blank\": $fa-var-shield-blank,\n  \"arrow-up-short-wide\": $fa-var-arrow-up-short-wide,\n  \"sort-amount-up-alt\": $fa-var-sort-amount-up-alt,\n  \"house-medical\": $fa-var-house-medical,\n  \"golf-ball-tee\": $fa-var-golf-ball-tee,\n  \"golf-ball\": $fa-var-golf-ball,\n  \"circle-chevron-left\": $fa-var-circle-chevron-left,\n  \"chevron-circle-left\": $fa-var-chevron-circle-left,\n  \"house-chimney-window\": $fa-var-house-chimney-window,\n  \"pen-nib\": $fa-var-pen-nib,\n  \"tent-arrow-turn-left\": $fa-var-tent-arrow-turn-left,\n  \"tents\": $fa-var-tents,\n  \"wand-magic\": $fa-var-wand-magic,\n  \"magic\": $fa-var-magic,\n  \"dog\": $fa-var-dog,\n  \"carrot\": $fa-var-carrot,\n  \"moon\": $fa-var-moon,\n  \"wine-glass-empty\": $fa-var-wine-glass-empty,\n  \"wine-glass-alt\": $fa-var-wine-glass-alt,\n  \"cheese\": $fa-var-cheese,\n  \"yin-yang\": $fa-var-yin-yang,\n  \"music\": $fa-var-music,\n  \"code-commit\": $fa-var-code-commit,\n  \"temperature-low\": $fa-var-temperature-low,\n  \"person-biking\": $fa-var-person-biking,\n  \"biking\": $fa-var-biking,\n  \"broom\": $fa-var-broom,\n  \"shield-heart\": $fa-var-shield-heart,\n  \"gopuram\": $fa-var-gopuram,\n  \"earth-oceania\": $fa-var-earth-oceania,\n  \"globe-oceania\": $fa-var-globe-oceania,\n  \"square-xmark\": $fa-var-square-xmark,\n  \"times-square\": $fa-var-times-square,\n  \"xmark-square\": $fa-var-xmark-square,\n  \"hashtag\": $fa-var-hashtag,\n  \"up-right-and-down-left-from-center\": $fa-var-up-right-and-down-left-from-center,\n  \"expand-alt\": $fa-var-expand-alt,\n  \"oil-can\": $fa-var-oil-can,\n  \"t\": $fa-var-t,\n  \"hippo\": $fa-var-hippo,\n  \"chart-column\": $fa-var-chart-column,\n  \"infinity\": $fa-var-infinity,\n  \"vial-circle-check\": $fa-var-vial-circle-check,\n  \"person-arrow-down-to-line\": $fa-var-person-arrow-down-to-line,\n  \"voicemail\": $fa-var-voicemail,\n  \"fan\": $fa-var-fan,\n  \"person-walking-luggage\": $fa-var-person-walking-luggage,\n  \"up-down\": $fa-var-up-down,\n  \"arrows-alt-v\": $fa-var-arrows-alt-v,\n  \"cloud-moon-rain\": $fa-var-cloud-moon-rain,\n  \"calendar\": $fa-var-calendar,\n  \"trailer\": $fa-var-trailer,\n  \"bahai\": $fa-var-bahai,\n  \"haykal\": $fa-var-haykal,\n  \"sd-card\": $fa-var-sd-card,\n  \"dragon\": $fa-var-dragon,\n  \"shoe-prints\": $fa-var-shoe-prints,\n  \"circle-plus\": $fa-var-circle-plus,\n  \"plus-circle\": $fa-var-plus-circle,\n  \"face-grin-tongue-wink\": $fa-var-face-grin-tongue-wink,\n  \"grin-tongue-wink\": $fa-var-grin-tongue-wink,\n  \"hand-holding\": $fa-var-hand-holding,\n  \"plug-circle-exclamation\": $fa-var-plug-circle-exclamation,\n  \"link-slash\": $fa-var-link-slash,\n  \"chain-broken\": $fa-var-chain-broken,\n  \"chain-slash\": $fa-var-chain-slash,\n  \"unlink\": $fa-var-unlink,\n  \"clone\": $fa-var-clone,\n  \"person-walking-arrow-loop-left\": $fa-var-person-walking-arrow-loop-left,\n  \"arrow-up-z-a\": $fa-var-arrow-up-z-a,\n  \"sort-alpha-up-alt\": $fa-var-sort-alpha-up-alt,\n  \"fire-flame-curved\": $fa-var-fire-flame-curved,\n  \"fire-alt\": $fa-var-fire-alt,\n  \"tornado\": $fa-var-tornado,\n  \"file-circle-plus\": $fa-var-file-circle-plus,\n  \"book-quran\": $fa-var-book-quran,\n  \"quran\": $fa-var-quran,\n  \"anchor\": $fa-var-anchor,\n  \"border-all\": $fa-var-border-all,\n  \"face-angry\": $fa-var-face-angry,\n  \"angry\": $fa-var-angry,\n  \"cookie-bite\": $fa-var-cookie-bite,\n  \"arrow-trend-down\": $fa-var-arrow-trend-down,\n  \"rss\": $fa-var-rss,\n  \"feed\": $fa-var-feed,\n  \"draw-polygon\": $fa-var-draw-polygon,\n  \"scale-balanced\": $fa-var-scale-balanced,\n  \"balance-scale\": $fa-var-balance-scale,\n  \"gauge-simple-high\": $fa-var-gauge-simple-high,\n  \"tachometer\": $fa-var-tachometer,\n  \"tachometer-fast\": $fa-var-tachometer-fast,\n  \"shower\": $fa-var-shower,\n  \"desktop\": $fa-var-desktop,\n  \"desktop-alt\": $fa-var-desktop-alt,\n  \"m\": $fa-var-m,\n  \"table-list\": $fa-var-table-list,\n  \"th-list\": $fa-var-th-list,\n  \"comment-sms\": $fa-var-comment-sms,\n  \"sms\": $fa-var-sms,\n  \"book\": $fa-var-book,\n  \"user-plus\": $fa-var-user-plus,\n  \"check\": $fa-var-check,\n  \"battery-three-quarters\": $fa-var-battery-three-quarters,\n  \"battery-4\": $fa-var-battery-4,\n  \"house-circle-check\": $fa-var-house-circle-check,\n  \"angle-left\": $fa-var-angle-left,\n  \"diagram-successor\": $fa-var-diagram-successor,\n  \"truck-arrow-right\": $fa-var-truck-arrow-right,\n  \"arrows-split-up-and-left\": $fa-var-arrows-split-up-and-left,\n  \"hand-fist\": $fa-var-hand-fist,\n  \"fist-raised\": $fa-var-fist-raised,\n  \"cloud-moon\": $fa-var-cloud-moon,\n  \"briefcase\": $fa-var-briefcase,\n  \"person-falling\": $fa-var-person-falling,\n  \"image-portrait\": $fa-var-image-portrait,\n  \"portrait\": $fa-var-portrait,\n  \"user-tag\": $fa-var-user-tag,\n  \"rug\": $fa-var-rug,\n  \"earth-europe\": $fa-var-earth-europe,\n  \"globe-europe\": $fa-var-globe-europe,\n  \"cart-flatbed-suitcase\": $fa-var-cart-flatbed-suitcase,\n  \"luggage-cart\": $fa-var-luggage-cart,\n  \"rectangle-xmark\": $fa-var-rectangle-xmark,\n  \"rectangle-times\": $fa-var-rectangle-times,\n  \"times-rectangle\": $fa-var-times-rectangle,\n  \"window-close\": $fa-var-window-close,\n  \"baht-sign\": $fa-var-baht-sign,\n  \"book-open\": $fa-var-book-open,\n  \"book-journal-whills\": $fa-var-book-journal-whills,\n  \"journal-whills\": $fa-var-journal-whills,\n  \"handcuffs\": $fa-var-handcuffs,\n  \"triangle-exclamation\": $fa-var-triangle-exclamation,\n  \"exclamation-triangle\": $fa-var-exclamation-triangle,\n  \"warning\": $fa-var-warning,\n  \"database\": $fa-var-database,\n  \"share\": $fa-var-share,\n  \"mail-forward\": $fa-var-mail-forward,\n  \"bottle-droplet\": $fa-var-bottle-droplet,\n  \"mask-face\": $fa-var-mask-face,\n  \"hill-rockslide\": $fa-var-hill-rockslide,\n  \"right-left\": $fa-var-right-left,\n  \"exchange-alt\": $fa-var-exchange-alt,\n  \"paper-plane\": $fa-var-paper-plane,\n  \"road-circle-exclamation\": $fa-var-road-circle-exclamation,\n  \"dungeon\": $fa-var-dungeon,\n  \"align-right\": $fa-var-align-right,\n  \"money-bill-1-wave\": $fa-var-money-bill-1-wave,\n  \"money-bill-wave-alt\": $fa-var-money-bill-wave-alt,\n  \"life-ring\": $fa-var-life-ring,\n  \"hands\": $fa-var-hands,\n  \"sign-language\": $fa-var-sign-language,\n  \"signing\": $fa-var-signing,\n  \"calendar-day\": $fa-var-calendar-day,\n  \"water-ladder\": $fa-var-water-ladder,\n  \"ladder-water\": $fa-var-ladder-water,\n  \"swimming-pool\": $fa-var-swimming-pool,\n  \"arrows-up-down\": $fa-var-arrows-up-down,\n  \"arrows-v\": $fa-var-arrows-v,\n  \"face-grimace\": $fa-var-face-grimace,\n  \"grimace\": $fa-var-grimace,\n  \"wheelchair-move\": $fa-var-wheelchair-move,\n  \"wheelchair-alt\": $fa-var-wheelchair-alt,\n  \"turn-down\": $fa-var-turn-down,\n  \"level-down-alt\": $fa-var-level-down-alt,\n  \"person-walking-arrow-right\": $fa-var-person-walking-arrow-right,\n  \"square-envelope\": $fa-var-square-envelope,\n  \"envelope-square\": $fa-var-envelope-square,\n  \"dice\": $fa-var-dice,\n  \"bowling-ball\": $fa-var-bowling-ball,\n  \"brain\": $fa-var-brain,\n  \"bandage\": $fa-var-bandage,\n  \"band-aid\": $fa-var-band-aid,\n  \"calendar-minus\": $fa-var-calendar-minus,\n  \"circle-xmark\": $fa-var-circle-xmark,\n  \"times-circle\": $fa-var-times-circle,\n  \"xmark-circle\": $fa-var-xmark-circle,\n  \"gifts\": $fa-var-gifts,\n  \"hotel\": $fa-var-hotel,\n  \"earth-asia\": $fa-var-earth-asia,\n  \"globe-asia\": $fa-var-globe-asia,\n  \"id-card-clip\": $fa-var-id-card-clip,\n  \"id-card-alt\": $fa-var-id-card-alt,\n  \"magnifying-glass-plus\": $fa-var-magnifying-glass-plus,\n  \"search-plus\": $fa-var-search-plus,\n  \"thumbs-up\": $fa-var-thumbs-up,\n  \"user-clock\": $fa-var-user-clock,\n  \"hand-dots\": $fa-var-hand-dots,\n  \"allergies\": $fa-var-allergies,\n  \"file-invoice\": $fa-var-file-invoice,\n  \"window-minimize\": $fa-var-window-minimize,\n  \"mug-saucer\": $fa-var-mug-saucer,\n  \"coffee\": $fa-var-coffee,\n  \"brush\": $fa-var-brush,\n  \"mask\": $fa-var-mask,\n  \"magnifying-glass-minus\": $fa-var-magnifying-glass-minus,\n  \"search-minus\": $fa-var-search-minus,\n  \"ruler-vertical\": $fa-var-ruler-vertical,\n  \"user-large\": $fa-var-user-large,\n  \"user-alt\": $fa-var-user-alt,\n  \"train-tram\": $fa-var-train-tram,\n  \"user-nurse\": $fa-var-user-nurse,\n  \"syringe\": $fa-var-syringe,\n  \"cloud-sun\": $fa-var-cloud-sun,\n  \"stopwatch-20\": $fa-var-stopwatch-20,\n  \"square-full\": $fa-var-square-full,\n  \"magnet\": $fa-var-magnet,\n  \"jar\": $fa-var-jar,\n  \"note-sticky\": $fa-var-note-sticky,\n  \"sticky-note\": $fa-var-sticky-note,\n  \"bug-slash\": $fa-var-bug-slash,\n  \"arrow-up-from-water-pump\": $fa-var-arrow-up-from-water-pump,\n  \"bone\": $fa-var-bone,\n  \"user-injured\": $fa-var-user-injured,\n  \"face-sad-tear\": $fa-var-face-sad-tear,\n  \"sad-tear\": $fa-var-sad-tear,\n  \"plane\": $fa-var-plane,\n  \"tent-arrows-down\": $fa-var-tent-arrows-down,\n  \"exclamation\": $fa-var-exclamation,\n  \"arrows-spin\": $fa-var-arrows-spin,\n  \"print\": $fa-var-print,\n  \"turkish-lira-sign\": $fa-var-turkish-lira-sign,\n  \"try\": $fa-var-try,\n  \"turkish-lira\": $fa-var-turkish-lira,\n  \"dollar-sign\": $fa-var-dollar-sign,\n  \"dollar\": $fa-var-dollar,\n  \"usd\": $fa-var-usd,\n  \"x\": $fa-var-x,\n  \"magnifying-glass-dollar\": $fa-var-magnifying-glass-dollar,\n  \"search-dollar\": $fa-var-search-dollar,\n  \"users-gear\": $fa-var-users-gear,\n  \"users-cog\": $fa-var-users-cog,\n  \"person-military-pointing\": $fa-var-person-military-pointing,\n  \"building-columns\": $fa-var-building-columns,\n  \"bank\": $fa-var-bank,\n  \"institution\": $fa-var-institution,\n  \"museum\": $fa-var-museum,\n  \"university\": $fa-var-university,\n  \"umbrella\": $fa-var-umbrella,\n  \"trowel\": $fa-var-trowel,\n  \"d\": $fa-var-d,\n  \"stapler\": $fa-var-stapler,\n  \"masks-theater\": $fa-var-masks-theater,\n  \"theater-masks\": $fa-var-theater-masks,\n  \"kip-sign\": $fa-var-kip-sign,\n  \"hand-point-left\": $fa-var-hand-point-left,\n  \"handshake-simple\": $fa-var-handshake-simple,\n  \"handshake-alt\": $fa-var-handshake-alt,\n  \"jet-fighter\": $fa-var-jet-fighter,\n  \"fighter-jet\": $fa-var-fighter-jet,\n  \"square-share-nodes\": $fa-var-square-share-nodes,\n  \"share-alt-square\": $fa-var-share-alt-square,\n  \"barcode\": $fa-var-barcode,\n  \"plus-minus\": $fa-var-plus-minus,\n  \"video\": $fa-var-video,\n  \"video-camera\": $fa-var-video-camera,\n  \"graduation-cap\": $fa-var-graduation-cap,\n  \"mortar-board\": $fa-var-mortar-board,\n  \"hand-holding-medical\": $fa-var-hand-holding-medical,\n  \"person-circle-check\": $fa-var-person-circle-check,\n  \"turn-up\": $fa-var-turn-up,\n  \"level-up-alt\": $fa-var-level-up-alt,\n);\n\n$fa-brand-icons: (\n  \"monero\": $fa-var-monero,\n  \"hooli\": $fa-var-hooli,\n  \"yelp\": $fa-var-yelp,\n  \"cc-visa\": $fa-var-cc-visa,\n  \"lastfm\": $fa-var-lastfm,\n  \"shopware\": $fa-var-shopware,\n  \"creative-commons-nc\": $fa-var-creative-commons-nc,\n  \"aws\": $fa-var-aws,\n  \"redhat\": $fa-var-redhat,\n  \"yoast\": $fa-var-yoast,\n  \"cloudflare\": $fa-var-cloudflare,\n  \"ups\": $fa-var-ups,\n  \"pixiv\": $fa-var-pixiv,\n  \"wpexplorer\": $fa-var-wpexplorer,\n  \"dyalog\": $fa-var-dyalog,\n  \"bity\": $fa-var-bity,\n  \"stackpath\": $fa-var-stackpath,\n  \"buysellads\": $fa-var-buysellads,\n  \"first-order\": $fa-var-first-order,\n  \"modx\": $fa-var-modx,\n  \"guilded\": $fa-var-guilded,\n  \"vnv\": $fa-var-vnv,\n  \"square-js\": $fa-var-square-js,\n  \"js-square\": $fa-var-js-square,\n  \"microsoft\": $fa-var-microsoft,\n  \"qq\": $fa-var-qq,\n  \"orcid\": $fa-var-orcid,\n  \"java\": $fa-var-java,\n  \"invision\": $fa-var-invision,\n  \"creative-commons-pd-alt\": $fa-var-creative-commons-pd-alt,\n  \"centercode\": $fa-var-centercode,\n  \"glide-g\": $fa-var-glide-g,\n  \"drupal\": $fa-var-drupal,\n  \"jxl\": $fa-var-jxl,\n  \"hire-a-helper\": $fa-var-hire-a-helper,\n  \"creative-commons-by\": $fa-var-creative-commons-by,\n  \"unity\": $fa-var-unity,\n  \"whmcs\": $fa-var-whmcs,\n  \"rocketchat\": $fa-var-rocketchat,\n  \"vk\": $fa-var-vk,\n  \"untappd\": $fa-var-untappd,\n  \"mailchimp\": $fa-var-mailchimp,\n  \"css3-alt\": $fa-var-css3-alt,\n  \"square-reddit\": $fa-var-square-reddit,\n  \"reddit-square\": $fa-var-reddit-square,\n  \"vimeo-v\": $fa-var-vimeo-v,\n  \"contao\": $fa-var-contao,\n  \"square-font-awesome\": $fa-var-square-font-awesome,\n  \"deskpro\": $fa-var-deskpro,\n  \"brave\": $fa-var-brave,\n  \"sistrix\": $fa-var-sistrix,\n  \"square-instagram\": $fa-var-square-instagram,\n  \"instagram-square\": $fa-var-instagram-square,\n  \"battle-net\": $fa-var-battle-net,\n  \"the-red-yeti\": $fa-var-the-red-yeti,\n  \"square-hacker-news\": $fa-var-square-hacker-news,\n  \"hacker-news-square\": $fa-var-hacker-news-square,\n  \"edge\": $fa-var-edge,\n  \"threads\": $fa-var-threads,\n  \"napster\": $fa-var-napster,\n  \"square-snapchat\": $fa-var-square-snapchat,\n  \"snapchat-square\": $fa-var-snapchat-square,\n  \"google-plus-g\": $fa-var-google-plus-g,\n  \"artstation\": $fa-var-artstation,\n  \"markdown\": $fa-var-markdown,\n  \"sourcetree\": $fa-var-sourcetree,\n  \"google-plus\": $fa-var-google-plus,\n  \"diaspora\": $fa-var-diaspora,\n  \"foursquare\": $fa-var-foursquare,\n  \"stack-overflow\": $fa-var-stack-overflow,\n  \"github-alt\": $fa-var-github-alt,\n  \"phoenix-squadron\": $fa-var-phoenix-squadron,\n  \"pagelines\": $fa-var-pagelines,\n  \"algolia\": $fa-var-algolia,\n  \"red-river\": $fa-var-red-river,\n  \"creative-commons-sa\": $fa-var-creative-commons-sa,\n  \"safari\": $fa-var-safari,\n  \"google\": $fa-var-google,\n  \"square-font-awesome-stroke\": $fa-var-square-font-awesome-stroke,\n  \"font-awesome-alt\": $fa-var-font-awesome-alt,\n  \"atlassian\": $fa-var-atlassian,\n  \"linkedin-in\": $fa-var-linkedin-in,\n  \"digital-ocean\": $fa-var-digital-ocean,\n  \"nimblr\": $fa-var-nimblr,\n  \"chromecast\": $fa-var-chromecast,\n  \"evernote\": $fa-var-evernote,\n  \"hacker-news\": $fa-var-hacker-news,\n  \"creative-commons-sampling\": $fa-var-creative-commons-sampling,\n  \"adversal\": $fa-var-adversal,\n  \"creative-commons\": $fa-var-creative-commons,\n  \"watchman-monitoring\": $fa-var-watchman-monitoring,\n  \"fonticons\": $fa-var-fonticons,\n  \"weixin\": $fa-var-weixin,\n  \"shirtsinbulk\": $fa-var-shirtsinbulk,\n  \"codepen\": $fa-var-codepen,\n  \"git-alt\": $fa-var-git-alt,\n  \"lyft\": $fa-var-lyft,\n  \"rev\": $fa-var-rev,\n  \"windows\": $fa-var-windows,\n  \"wizards-of-the-coast\": $fa-var-wizards-of-the-coast,\n  \"square-viadeo\": $fa-var-square-viadeo,\n  \"viadeo-square\": $fa-var-viadeo-square,\n  \"meetup\": $fa-var-meetup,\n  \"centos\": $fa-var-centos,\n  \"adn\": $fa-var-adn,\n  \"cloudsmith\": $fa-var-cloudsmith,\n  \"opensuse\": $fa-var-opensuse,\n  \"pied-piper-alt\": $fa-var-pied-piper-alt,\n  \"square-dribbble\": $fa-var-square-dribbble,\n  \"dribbble-square\": $fa-var-dribbble-square,\n  \"codiepie\": $fa-var-codiepie,\n  \"node\": $fa-var-node,\n  \"mix\": $fa-var-mix,\n  \"steam\": $fa-var-steam,\n  \"cc-apple-pay\": $fa-var-cc-apple-pay,\n  \"scribd\": $fa-var-scribd,\n  \"debian\": $fa-var-debian,\n  \"openid\": $fa-var-openid,\n  \"instalod\": $fa-var-instalod,\n  \"expeditedssl\": $fa-var-expeditedssl,\n  \"sellcast\": $fa-var-sellcast,\n  \"square-twitter\": $fa-var-square-twitter,\n  \"twitter-square\": $fa-var-twitter-square,\n  \"r-project\": $fa-var-r-project,\n  \"delicious\": $fa-var-delicious,\n  \"freebsd\": $fa-var-freebsd,\n  \"vuejs\": $fa-var-vuejs,\n  \"accusoft\": $fa-var-accusoft,\n  \"ioxhost\": $fa-var-ioxhost,\n  \"fonticons-fi\": $fa-var-fonticons-fi,\n  \"app-store\": $fa-var-app-store,\n  \"cc-mastercard\": $fa-var-cc-mastercard,\n  \"itunes-note\": $fa-var-itunes-note,\n  \"golang\": $fa-var-golang,\n  \"kickstarter\": $fa-var-kickstarter,\n  \"square-kickstarter\": $fa-var-square-kickstarter,\n  \"grav\": $fa-var-grav,\n  \"weibo\": $fa-var-weibo,\n  \"uncharted\": $fa-var-uncharted,\n  \"firstdraft\": $fa-var-firstdraft,\n  \"square-youtube\": $fa-var-square-youtube,\n  \"youtube-square\": $fa-var-youtube-square,\n  \"wikipedia-w\": $fa-var-wikipedia-w,\n  \"wpressr\": $fa-var-wpressr,\n  \"rendact\": $fa-var-rendact,\n  \"angellist\": $fa-var-angellist,\n  \"galactic-republic\": $fa-var-galactic-republic,\n  \"nfc-directional\": $fa-var-nfc-directional,\n  \"skype\": $fa-var-skype,\n  \"joget\": $fa-var-joget,\n  \"fedora\": $fa-var-fedora,\n  \"stripe-s\": $fa-var-stripe-s,\n  \"meta\": $fa-var-meta,\n  \"laravel\": $fa-var-laravel,\n  \"hotjar\": $fa-var-hotjar,\n  \"bluetooth-b\": $fa-var-bluetooth-b,\n  \"square-letterboxd\": $fa-var-square-letterboxd,\n  \"sticker-mule\": $fa-var-sticker-mule,\n  \"creative-commons-zero\": $fa-var-creative-commons-zero,\n  \"hips\": $fa-var-hips,\n  \"behance\": $fa-var-behance,\n  \"reddit\": $fa-var-reddit,\n  \"discord\": $fa-var-discord,\n  \"chrome\": $fa-var-chrome,\n  \"app-store-ios\": $fa-var-app-store-ios,\n  \"cc-discover\": $fa-var-cc-discover,\n  \"wpbeginner\": $fa-var-wpbeginner,\n  \"confluence\": $fa-var-confluence,\n  \"shoelace\": $fa-var-shoelace,\n  \"mdb\": $fa-var-mdb,\n  \"dochub\": $fa-var-dochub,\n  \"accessible-icon\": $fa-var-accessible-icon,\n  \"ebay\": $fa-var-ebay,\n  \"amazon\": $fa-var-amazon,\n  \"unsplash\": $fa-var-unsplash,\n  \"yarn\": $fa-var-yarn,\n  \"square-steam\": $fa-var-square-steam,\n  \"steam-square\": $fa-var-steam-square,\n  \"500px\": $fa-var-500px,\n  \"square-vimeo\": $fa-var-square-vimeo,\n  \"vimeo-square\": $fa-var-vimeo-square,\n  \"asymmetrik\": $fa-var-asymmetrik,\n  \"font-awesome\": $fa-var-font-awesome,\n  \"font-awesome-flag\": $fa-var-font-awesome-flag,\n  \"font-awesome-logo-full\": $fa-var-font-awesome-logo-full,\n  \"gratipay\": $fa-var-gratipay,\n  \"apple\": $fa-var-apple,\n  \"hive\": $fa-var-hive,\n  \"gitkraken\": $fa-var-gitkraken,\n  \"keybase\": $fa-var-keybase,\n  \"apple-pay\": $fa-var-apple-pay,\n  \"padlet\": $fa-var-padlet,\n  \"amazon-pay\": $fa-var-amazon-pay,\n  \"square-github\": $fa-var-square-github,\n  \"github-square\": $fa-var-github-square,\n  \"stumbleupon\": $fa-var-stumbleupon,\n  \"fedex\": $fa-var-fedex,\n  \"phoenix-framework\": $fa-var-phoenix-framework,\n  \"shopify\": $fa-var-shopify,\n  \"neos\": $fa-var-neos,\n  \"square-threads\": $fa-var-square-threads,\n  \"hackerrank\": $fa-var-hackerrank,\n  \"researchgate\": $fa-var-researchgate,\n  \"swift\": $fa-var-swift,\n  \"angular\": $fa-var-angular,\n  \"speakap\": $fa-var-speakap,\n  \"angrycreative\": $fa-var-angrycreative,\n  \"y-combinator\": $fa-var-y-combinator,\n  \"empire\": $fa-var-empire,\n  \"envira\": $fa-var-envira,\n  \"google-scholar\": $fa-var-google-scholar,\n  \"square-gitlab\": $fa-var-square-gitlab,\n  \"gitlab-square\": $fa-var-gitlab-square,\n  \"studiovinari\": $fa-var-studiovinari,\n  \"pied-piper\": $fa-var-pied-piper,\n  \"wordpress\": $fa-var-wordpress,\n  \"product-hunt\": $fa-var-product-hunt,\n  \"firefox\": $fa-var-firefox,\n  \"linode\": $fa-var-linode,\n  \"goodreads\": $fa-var-goodreads,\n  \"square-odnoklassniki\": $fa-var-square-odnoklassniki,\n  \"odnoklassniki-square\": $fa-var-odnoklassniki-square,\n  \"jsfiddle\": $fa-var-jsfiddle,\n  \"sith\": $fa-var-sith,\n  \"themeisle\": $fa-var-themeisle,\n  \"page4\": $fa-var-page4,\n  \"hashnode\": $fa-var-hashnode,\n  \"react\": $fa-var-react,\n  \"cc-paypal\": $fa-var-cc-paypal,\n  \"squarespace\": $fa-var-squarespace,\n  \"cc-stripe\": $fa-var-cc-stripe,\n  \"creative-commons-share\": $fa-var-creative-commons-share,\n  \"bitcoin\": $fa-var-bitcoin,\n  \"keycdn\": $fa-var-keycdn,\n  \"opera\": $fa-var-opera,\n  \"itch-io\": $fa-var-itch-io,\n  \"umbraco\": $fa-var-umbraco,\n  \"galactic-senate\": $fa-var-galactic-senate,\n  \"ubuntu\": $fa-var-ubuntu,\n  \"draft2digital\": $fa-var-draft2digital,\n  \"stripe\": $fa-var-stripe,\n  \"houzz\": $fa-var-houzz,\n  \"gg\": $fa-var-gg,\n  \"dhl\": $fa-var-dhl,\n  \"square-pinterest\": $fa-var-square-pinterest,\n  \"pinterest-square\": $fa-var-pinterest-square,\n  \"xing\": $fa-var-xing,\n  \"blackberry\": $fa-var-blackberry,\n  \"creative-commons-pd\": $fa-var-creative-commons-pd,\n  \"playstation\": $fa-var-playstation,\n  \"quinscape\": $fa-var-quinscape,\n  \"less\": $fa-var-less,\n  \"blogger-b\": $fa-var-blogger-b,\n  \"opencart\": $fa-var-opencart,\n  \"vine\": $fa-var-vine,\n  \"signal-messenger\": $fa-var-signal-messenger,\n  \"paypal\": $fa-var-paypal,\n  \"gitlab\": $fa-var-gitlab,\n  \"typo3\": $fa-var-typo3,\n  \"reddit-alien\": $fa-var-reddit-alien,\n  \"yahoo\": $fa-var-yahoo,\n  \"dailymotion\": $fa-var-dailymotion,\n  \"affiliatetheme\": $fa-var-affiliatetheme,\n  \"pied-piper-pp\": $fa-var-pied-piper-pp,\n  \"bootstrap\": $fa-var-bootstrap,\n  \"odnoklassniki\": $fa-var-odnoklassniki,\n  \"nfc-symbol\": $fa-var-nfc-symbol,\n  \"mintbit\": $fa-var-mintbit,\n  \"ethereum\": $fa-var-ethereum,\n  \"speaker-deck\": $fa-var-speaker-deck,\n  \"creative-commons-nc-eu\": $fa-var-creative-commons-nc-eu,\n  \"patreon\": $fa-var-patreon,\n  \"avianex\": $fa-var-avianex,\n  \"ello\": $fa-var-ello,\n  \"gofore\": $fa-var-gofore,\n  \"bimobject\": $fa-var-bimobject,\n  \"brave-reverse\": $fa-var-brave-reverse,\n  \"facebook-f\": $fa-var-facebook-f,\n  \"square-google-plus\": $fa-var-square-google-plus,\n  \"google-plus-square\": $fa-var-google-plus-square,\n  \"web-awesome\": $fa-var-web-awesome,\n  \"mandalorian\": $fa-var-mandalorian,\n  \"first-order-alt\": $fa-var-first-order-alt,\n  \"osi\": $fa-var-osi,\n  \"google-wallet\": $fa-var-google-wallet,\n  \"d-and-d-beyond\": $fa-var-d-and-d-beyond,\n  \"periscope\": $fa-var-periscope,\n  \"fulcrum\": $fa-var-fulcrum,\n  \"cloudscale\": $fa-var-cloudscale,\n  \"forumbee\": $fa-var-forumbee,\n  \"mizuni\": $fa-var-mizuni,\n  \"schlix\": $fa-var-schlix,\n  \"square-xing\": $fa-var-square-xing,\n  \"xing-square\": $fa-var-xing-square,\n  \"bandcamp\": $fa-var-bandcamp,\n  \"wpforms\": $fa-var-wpforms,\n  \"cloudversify\": $fa-var-cloudversify,\n  \"usps\": $fa-var-usps,\n  \"megaport\": $fa-var-megaport,\n  \"magento\": $fa-var-magento,\n  \"spotify\": $fa-var-spotify,\n  \"optin-monster\": $fa-var-optin-monster,\n  \"fly\": $fa-var-fly,\n  \"aviato\": $fa-var-aviato,\n  \"itunes\": $fa-var-itunes,\n  \"cuttlefish\": $fa-var-cuttlefish,\n  \"blogger\": $fa-var-blogger,\n  \"flickr\": $fa-var-flickr,\n  \"viber\": $fa-var-viber,\n  \"soundcloud\": $fa-var-soundcloud,\n  \"digg\": $fa-var-digg,\n  \"tencent-weibo\": $fa-var-tencent-weibo,\n  \"letterboxd\": $fa-var-letterboxd,\n  \"symfony\": $fa-var-symfony,\n  \"maxcdn\": $fa-var-maxcdn,\n  \"etsy\": $fa-var-etsy,\n  \"facebook-messenger\": $fa-var-facebook-messenger,\n  \"audible\": $fa-var-audible,\n  \"think-peaks\": $fa-var-think-peaks,\n  \"bilibili\": $fa-var-bilibili,\n  \"erlang\": $fa-var-erlang,\n  \"x-twitter\": $fa-var-x-twitter,\n  \"cotton-bureau\": $fa-var-cotton-bureau,\n  \"dashcube\": $fa-var-dashcube,\n  \"42-group\": $fa-var-42-group,\n  \"innosoft\": $fa-var-innosoft,\n  \"stack-exchange\": $fa-var-stack-exchange,\n  \"elementor\": $fa-var-elementor,\n  \"square-pied-piper\": $fa-var-square-pied-piper,\n  \"pied-piper-square\": $fa-var-pied-piper-square,\n  \"creative-commons-nd\": $fa-var-creative-commons-nd,\n  \"palfed\": $fa-var-palfed,\n  \"superpowers\": $fa-var-superpowers,\n  \"resolving\": $fa-var-resolving,\n  \"xbox\": $fa-var-xbox,\n  \"square-web-awesome-stroke\": $fa-var-square-web-awesome-stroke,\n  \"searchengin\": $fa-var-searchengin,\n  \"tiktok\": $fa-var-tiktok,\n  \"square-facebook\": $fa-var-square-facebook,\n  \"facebook-square\": $fa-var-facebook-square,\n  \"renren\": $fa-var-renren,\n  \"linux\": $fa-var-linux,\n  \"glide\": $fa-var-glide,\n  \"linkedin\": $fa-var-linkedin,\n  \"hubspot\": $fa-var-hubspot,\n  \"deploydog\": $fa-var-deploydog,\n  \"twitch\": $fa-var-twitch,\n  \"ravelry\": $fa-var-ravelry,\n  \"mixer\": $fa-var-mixer,\n  \"square-lastfm\": $fa-var-square-lastfm,\n  \"lastfm-square\": $fa-var-lastfm-square,\n  \"vimeo\": $fa-var-vimeo,\n  \"mendeley\": $fa-var-mendeley,\n  \"uniregistry\": $fa-var-uniregistry,\n  \"figma\": $fa-var-figma,\n  \"creative-commons-remix\": $fa-var-creative-commons-remix,\n  \"cc-amazon-pay\": $fa-var-cc-amazon-pay,\n  \"dropbox\": $fa-var-dropbox,\n  \"instagram\": $fa-var-instagram,\n  \"cmplid\": $fa-var-cmplid,\n  \"upwork\": $fa-var-upwork,\n  \"facebook\": $fa-var-facebook,\n  \"gripfire\": $fa-var-gripfire,\n  \"jedi-order\": $fa-var-jedi-order,\n  \"uikit\": $fa-var-uikit,\n  \"fort-awesome-alt\": $fa-var-fort-awesome-alt,\n  \"phabricator\": $fa-var-phabricator,\n  \"ussunnah\": $fa-var-ussunnah,\n  \"earlybirds\": $fa-var-earlybirds,\n  \"trade-federation\": $fa-var-trade-federation,\n  \"autoprefixer\": $fa-var-autoprefixer,\n  \"whatsapp\": $fa-var-whatsapp,\n  \"square-upwork\": $fa-var-square-upwork,\n  \"slideshare\": $fa-var-slideshare,\n  \"google-play\": $fa-var-google-play,\n  \"viadeo\": $fa-var-viadeo,\n  \"line\": $fa-var-line,\n  \"google-drive\": $fa-var-google-drive,\n  \"servicestack\": $fa-var-servicestack,\n  \"simplybuilt\": $fa-var-simplybuilt,\n  \"bitbucket\": $fa-var-bitbucket,\n  \"imdb\": $fa-var-imdb,\n  \"deezer\": $fa-var-deezer,\n  \"raspberry-pi\": $fa-var-raspberry-pi,\n  \"jira\": $fa-var-jira,\n  \"docker\": $fa-var-docker,\n  \"screenpal\": $fa-var-screenpal,\n  \"bluetooth\": $fa-var-bluetooth,\n  \"gitter\": $fa-var-gitter,\n  \"d-and-d\": $fa-var-d-and-d,\n  \"microblog\": $fa-var-microblog,\n  \"cc-diners-club\": $fa-var-cc-diners-club,\n  \"gg-circle\": $fa-var-gg-circle,\n  \"pied-piper-hat\": $fa-var-pied-piper-hat,\n  \"kickstarter-k\": $fa-var-kickstarter-k,\n  \"yandex\": $fa-var-yandex,\n  \"readme\": $fa-var-readme,\n  \"html5\": $fa-var-html5,\n  \"sellsy\": $fa-var-sellsy,\n  \"square-web-awesome\": $fa-var-square-web-awesome,\n  \"sass\": $fa-var-sass,\n  \"wirsindhandwerk\": $fa-var-wirsindhandwerk,\n  \"wsh\": $fa-var-wsh,\n  \"buromobelexperte\": $fa-var-buromobelexperte,\n  \"salesforce\": $fa-var-salesforce,\n  \"octopus-deploy\": $fa-var-octopus-deploy,\n  \"medapps\": $fa-var-medapps,\n  \"ns8\": $fa-var-ns8,\n  \"pinterest-p\": $fa-var-pinterest-p,\n  \"apper\": $fa-var-apper,\n  \"fort-awesome\": $fa-var-fort-awesome,\n  \"waze\": $fa-var-waze,\n  \"bluesky\": $fa-var-bluesky,\n  \"cc-jcb\": $fa-var-cc-jcb,\n  \"snapchat\": $fa-var-snapchat,\n  \"snapchat-ghost\": $fa-var-snapchat-ghost,\n  \"fantasy-flight-games\": $fa-var-fantasy-flight-games,\n  \"rust\": $fa-var-rust,\n  \"wix\": $fa-var-wix,\n  \"square-behance\": $fa-var-square-behance,\n  \"behance-square\": $fa-var-behance-square,\n  \"supple\": $fa-var-supple,\n  \"webflow\": $fa-var-webflow,\n  \"rebel\": $fa-var-rebel,\n  \"css3\": $fa-var-css3,\n  \"staylinked\": $fa-var-staylinked,\n  \"kaggle\": $fa-var-kaggle,\n  \"space-awesome\": $fa-var-space-awesome,\n  \"deviantart\": $fa-var-deviantart,\n  \"cpanel\": $fa-var-cpanel,\n  \"goodreads-g\": $fa-var-goodreads-g,\n  \"square-git\": $fa-var-square-git,\n  \"git-square\": $fa-var-git-square,\n  \"square-tumblr\": $fa-var-square-tumblr,\n  \"tumblr-square\": $fa-var-tumblr-square,\n  \"trello\": $fa-var-trello,\n  \"creative-commons-nc-jp\": $fa-var-creative-commons-nc-jp,\n  \"get-pocket\": $fa-var-get-pocket,\n  \"perbyte\": $fa-var-perbyte,\n  \"grunt\": $fa-var-grunt,\n  \"weebly\": $fa-var-weebly,\n  \"connectdevelop\": $fa-var-connectdevelop,\n  \"leanpub\": $fa-var-leanpub,\n  \"black-tie\": $fa-var-black-tie,\n  \"themeco\": $fa-var-themeco,\n  \"python\": $fa-var-python,\n  \"android\": $fa-var-android,\n  \"bots\": $fa-var-bots,\n  \"free-code-camp\": $fa-var-free-code-camp,\n  \"hornbill\": $fa-var-hornbill,\n  \"js\": $fa-var-js,\n  \"ideal\": $fa-var-ideal,\n  \"git\": $fa-var-git,\n  \"dev\": $fa-var-dev,\n  \"sketch\": $fa-var-sketch,\n  \"yandex-international\": $fa-var-yandex-international,\n  \"cc-amex\": $fa-var-cc-amex,\n  \"uber\": $fa-var-uber,\n  \"github\": $fa-var-github,\n  \"php\": $fa-var-php,\n  \"alipay\": $fa-var-alipay,\n  \"youtube\": $fa-var-youtube,\n  \"skyatlas\": $fa-var-skyatlas,\n  \"firefox-browser\": $fa-var-firefox-browser,\n  \"replyd\": $fa-var-replyd,\n  \"suse\": $fa-var-suse,\n  \"jenkins\": $fa-var-jenkins,\n  \"twitter\": $fa-var-twitter,\n  \"rockrms\": $fa-var-rockrms,\n  \"pinterest\": $fa-var-pinterest,\n  \"buffer\": $fa-var-buffer,\n  \"npm\": $fa-var-npm,\n  \"yammer\": $fa-var-yammer,\n  \"btc\": $fa-var-btc,\n  \"dribbble\": $fa-var-dribbble,\n  \"stumbleupon-circle\": $fa-var-stumbleupon-circle,\n  \"internet-explorer\": $fa-var-internet-explorer,\n  \"stubber\": $fa-var-stubber,\n  \"telegram\": $fa-var-telegram,\n  \"telegram-plane\": $fa-var-telegram-plane,\n  \"old-republic\": $fa-var-old-republic,\n  \"odysee\": $fa-var-odysee,\n  \"square-whatsapp\": $fa-var-square-whatsapp,\n  \"whatsapp-square\": $fa-var-whatsapp-square,\n  \"node-js\": $fa-var-node-js,\n  \"edge-legacy\": $fa-var-edge-legacy,\n  \"slack\": $fa-var-slack,\n  \"slack-hash\": $fa-var-slack-hash,\n  \"medrt\": $fa-var-medrt,\n  \"usb\": $fa-var-usb,\n  \"tumblr\": $fa-var-tumblr,\n  \"vaadin\": $fa-var-vaadin,\n  \"quora\": $fa-var-quora,\n  \"square-x-twitter\": $fa-var-square-x-twitter,\n  \"reacteurope\": $fa-var-reacteurope,\n  \"medium\": $fa-var-medium,\n  \"medium-m\": $fa-var-medium-m,\n  \"amilia\": $fa-var-amilia,\n  \"mixcloud\": $fa-var-mixcloud,\n  \"flipboard\": $fa-var-flipboard,\n  \"viacoin\": $fa-var-viacoin,\n  \"critical-role\": $fa-var-critical-role,\n  \"sitrox\": $fa-var-sitrox,\n  \"discourse\": $fa-var-discourse,\n  \"joomla\": $fa-var-joomla,\n  \"mastodon\": $fa-var-mastodon,\n  \"airbnb\": $fa-var-airbnb,\n  \"wolf-pack-battalion\": $fa-var-wolf-pack-battalion,\n  \"buy-n-large\": $fa-var-buy-n-large,\n  \"gulp\": $fa-var-gulp,\n  \"creative-commons-sampling-plus\": $fa-var-creative-commons-sampling-plus,\n  \"strava\": $fa-var-strava,\n  \"ember\": $fa-var-ember,\n  \"canadian-maple-leaf\": $fa-var-canadian-maple-leaf,\n  \"teamspeak\": $fa-var-teamspeak,\n  \"pushed\": $fa-var-pushed,\n  \"wordpress-simple\": $fa-var-wordpress-simple,\n  \"nutritionix\": $fa-var-nutritionix,\n  \"wodu\": $fa-var-wodu,\n  \"google-pay\": $fa-var-google-pay,\n  \"intercom\": $fa-var-intercom,\n  \"zhihu\": $fa-var-zhihu,\n  \"korvue\": $fa-var-korvue,\n  \"pix\": $fa-var-pix,\n  \"steam-symbol\": $fa-var-steam-symbol,\n);\n","// specific icon class definition\n// -------------------------\n\n/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen\nreaders do not read off random characters that represent icons */\n\n@each $name, $icon in $fa-icons {\n  .#{$fa-css-prefix}-#{$name}::before { content: unquote(\"\\\"#{ $icon }\\\"\"); }\n}\n\n","/*!\n * Font Awesome Free 6.5.2 by @fontawesome - https://fontawesome.com\n * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)\n * Copyright 2024 Fonticons, Inc.\n */\n@import 'functions';\n@import 'variables';\n\n:root, :host {\n  --#{$fa-css-prefix}-style-family-classic: '#{ $fa-style-family }';\n  --#{$fa-css-prefix}-font-solid: normal 900 1em/1 '#{ $fa-style-family }';\n}\n\n@font-face {\n  font-family: 'Font Awesome 6 Free';\n  font-style: normal;\n  font-weight: 900;\n  font-display: $fa-font-display;\n  src: url('#{$fa-font-path}/fa-solid-900.woff2') format('woff2'),\n    url('#{$fa-font-path}/fa-solid-900.ttf') format('truetype');\n}\n\n.fas,\n.#{$fa-css-prefix}-solid {\n  font-weight: 900;\n}\n","/*!\n * Font Awesome Free 6.5.2 by @fontawesome - https://fontawesome.com\n * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)\n * Copyright 2024 Fonticons, Inc.\n */\n@import 'functions';\n@import 'variables';\n\n:root, :host {\n  --#{$fa-css-prefix}-style-family-classic: '#{ $fa-style-family }';\n  --#{$fa-css-prefix}-font-regular: normal 400 1em/1 '#{ $fa-style-family }';\n}\n\n@font-face {\n  font-family: 'Font Awesome 6 Free';\n  font-style: normal;\n  font-weight: 400;\n  font-display: $fa-font-display;\n  src: url('#{$fa-font-path}/fa-regular-400.woff2') format('woff2'),\n    url('#{$fa-font-path}/fa-regular-400.ttf') format('truetype');\n}\n\n.far,\n.#{$fa-css-prefix}-regular {\n  font-weight: 400;\n}\n","/*!\n * Font Awesome Free 6.5.2 by @fontawesome - https://fontawesome.com\n * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)\n * Copyright 2024 Fonticons, Inc.\n */\n@import 'functions';\n@import 'variables';\n\n:root, :host {\n  --#{$fa-css-prefix}-style-family-brands: 'Font Awesome 6 Brands';\n  --#{$fa-css-prefix}-font-brands: normal 400 1em/1 'Font Awesome 6 Brands';\n}\n\n@font-face {\n  font-family: 'Font Awesome 6 Brands';\n  font-style: normal;\n  font-weight: 400;\n  font-display: $fa-font-display;\n  src: url('#{$fa-font-path}/fa-brands-400.woff2') format('woff2'),\n    url('#{$fa-font-path}/fa-brands-400.ttf') format('truetype');\n}\n\n.fab,\n.#{$fa-css-prefix}-brands {\n  font-weight: 400;\n}\n\n@each $name, $icon in $fa-brand-icons {\n  .#{$fa-css-prefix}-#{$name}:before { content: unquote(\"\\\"#{ $icon }\\\"\"); }\n}\n","html {\n  /*****************************************************************************\n  * Overall Layout Variables\n  */\n\n  // Header height will impact the top offset for many sections\n  // Article header is 66% of Header\n  --pst-header-height: 4rem;\n  --pst-header-article-height: calc(var(--pst-header-height) * 2 / 3);\n  --pst-sidebar-secondary: 17rem;\n}\n\n/*******************************************************************************\n* Breakpoints that trigger UI changes\n*\n* Note that media-breakpoint-down begins at the next highest level!\n* So we should choose a media-breakpoint-down one *lower* than when we want to start\n* example: media-breakpoint-up(md) and media-breakpoint-down(sm) trigger at the same time\n* ref: https://github.com/twbs/bootstrap/issues/31214\n*/\n$breakpoint-sidebar-primary: lg; // When we collapse the primary sidebar\n$breakpoint-sidebar-secondary: xl; // When we collapse the secondary sidebar\n$breakpoint-page-width: 88rem; // taken from sphinx-basic-ng, which we are ultimately going to inherit\n\n/*******************************************************************************\n* Define the animation behaviour\n*/\n$animation-time: 200ms;\n\n/*******************************************************************************\n* UI shaping and padding\n*/\n$admonition-border-radius: 0.25rem;\n\n// In this theme, some focus rings have rounded corners while others do not.\n// This variable sets the border radius for the rounded focus rings.\n$focus-ring-radius: 0.125rem; // 2px at 100% zoom and 16px base font.\n\n$navbar-link-padding-y: 0.25rem;\n\n// Ensure that there is no overlap of bumper disks (smallest circle that\n// contains the bounding box of the interactive element).\n// - https://github.com/Quansight-Labs/czi-scientific-python-mgmt/issues/81#issuecomment-2251325783\n$nav-icon-column-gap: 1.12rem;\n\n// Determines vertical space between entries in both the section (left/primary\n// sidebar) and page (right/secondary sidebar) table of contents\n$toc-item-padding-y: 0.25rem;\n","html {\n  /*****************************************************************************\n  * Font features used in this theme\n  */\n\n  // base font size - applied at body/html level\n  --pst-font-size-base: 1rem;\n\n  // heading font sizes based on a medium contrast type scale\n  // - see: https://github.com/Quansight-Labs/czi-scientific-python-mgmt/issues/97#issuecomment-2310531483\n  --pst-font-size-h1: 2.625rem;\n  --pst-font-size-h2: 2.125rem;\n  --pst-font-size-h3: 1.75rem;\n  --pst-font-size-h4: 1.5rem;\n  --pst-font-size-h5: 1.25rem;\n  --pst-font-size-h6: 1rem;\n\n  // smaller than heading font sizes\n  --pst-font-size-milli: 0.9rem;\n\n  // Sidebar styles\n  --pst-sidebar-font-size: 0.9rem;\n  --pst-sidebar-font-size-mobile: 1.1rem;\n  --pst-sidebar-header-font-size: 1.2rem;\n  --pst-sidebar-header-font-weight: 600;\n\n  // Admonition styles\n  --pst-admonition-font-weight-heading: 600;\n\n  // Font weights\n  --pst-font-weight-caption: 300;\n  --pst-font-weight-heading: 600;\n\n  // Font family\n  // These are adapted from https://systemfontstack.com/ */\n  --pst-font-family-base-system: -apple-system, \"BlinkMacSystemFont\", \"Segoe UI\",\n    \"Helvetica Neue\", \"Arial\", sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\",\n    \"Segoe UI Symbol\";\n  --pst-font-family-monospace-system: \"SFMono-Regular\", \"Menlo\", \"Consolas\",\n    \"Monaco\", \"Liberation Mono\", \"Lucida Console\", monospace;\n  --pst-font-family-base: var(--pst-font-family-base-system);\n  --pst-font-family-heading: var(--pst-font-family-base-system);\n  --pst-font-family-monospace: var(--pst-font-family-monospace-system);\n}\n\n$line-height-body: 1.65;\n$fa-font-path: \"vendor/fontawesome/webfonts/\";\n","html {\n  /*****************************************************************************\n  * Icon\n  */\n\n  // Font size across all icons\n  --pst-font-size-icon: 1.5rem;\n\n  // Font Awesome default icons\n  --pst-icon-check-circle: \"\\f058\"; // fa-solid fa-circle-check\n  --pst-icon-info-circle: \"\\f05a\"; // fa-solid fa-circle-info\n  --pst-icon-exclamation-triangle: \"\\f071\"; // fa-solid fa-triangle-exclamation\n  --pst-icon-exclamation-circle: \"\\f06a\"; // fa-solid fa-circle-exclamation\n  --pst-icon-times-circle: \"\\f057\"; // fa-solid fa-circle-xmark\n  --pst-icon-lightbulb: \"\\f0eb\"; // fa-solid fa-lightbulb\n  --pst-icon-download: \"\\f019\"; // fa-solid fa-download\n  --pst-icon-angle-left: \"\\f104\"; // fa-solid fa-angle-left\n  --pst-icon-angle-right: \"\\f105\"; // fa-solid fa-angle-right\n  --pst-icon-external-link: \"\\f35d\"; // fa-solid fa-up-right-from-square\n  --pst-icon-search-minus: \"\\f010\"; // fa-solid fa-magnifying-glass-minus\n  --pst-icon-github: \"\\f09b\"; // fa-brands fa-github\n  --pst-icon-gitlab: \"\\f296\"; // fa-brands fa-gitlab\n  --pst-icon-share: \"\\f064\"; // fa-solid fa-share\n  --pst-icon-bell: \"\\f0f3\"; // fa-solid fa-bell\n  --pst-icon-pencil: \"\\f303\"; // fa-solid fa-pencil\n\n  // Bootstrap icons\n  --pst-breadcrumb-divider: \"\\f105\";\n}\n","html {\n  /*****************************************************************************\n  * Admonitions\n  **/\n\n  --pst-icon-admonition-default: var(--pst-icon-bell);\n  --pst-icon-admonition-note: var(--pst-icon-info-circle);\n  --pst-icon-admonition-attention: var(--pst-icon-exclamation-circle);\n  --pst-icon-admonition-caution: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-warning: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-danger: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-error: var(--pst-icon-times-circle);\n  --pst-icon-admonition-hint: var(--pst-icon-lightbulb);\n  --pst-icon-admonition-tip: var(--pst-icon-lightbulb);\n  --pst-icon-admonition-important: var(--pst-icon-exclamation-circle);\n  --pst-icon-admonition-seealso: var(--pst-icon-share);\n  --pst-icon-admonition-todo: var(--pst-icon-pencil);\n}\n","html {\n  /*****************************************************************************\n  * versionmodified\n  **/\n\n  --pst-icon-versionmodified-default: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-added: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-changed: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-deprecated: var(--pst-icon-exclamation-circle);\n}\n","html {\n  font-size: var(--pst-font-size-base);\n  scroll-padding-top: calc(var(--pst-header-height) + 1rem);\n}\n\nbody {\n  background-color: var(--pst-color-background);\n  font-family: var(--pst-font-family-base);\n  font-weight: 400;\n  line-height: $line-height-body;\n  color: var(--pst-color-text-base);\n  min-height: 100vh;\n  display: flex;\n  flex-direction: column;\n\n  // hack to avoid the black background on some browser including Safari\n  &::-webkit-scrollbar-track {\n    background-color: var(--pst-color-background);\n  }\n}\n\np {\n  margin-bottom: 1.15rem;\n  font-size: 1em;\n\n  /* section header in docstring pages */\n  &.rubric {\n    border-bottom: 1px solid var(--pst-color-border);\n  }\n\n  &.centered {\n    text-align: center;\n  }\n}\n\na {\n  @include link-style-default;\n\n  // The # anchor that appears on hover over headings\n  &.headerlink {\n    color: var(--pst-color-secondary);\n    font-size: 0.8em;\n    padding: 0 4px;\n    margin-left: 0.2em;\n    text-decoration: none;\n    user-select: none;\n  }\n\n  // set up a icon next to the shorten links from github and gitlab\n  &.github,\n  &.gitlab {\n    &::before {\n      color: var(--pst-color-text-muted);\n      font: var(--fa-font-brands);\n      margin-right: 0.25rem;\n    }\n  }\n\n  &.github::before {\n    content: var(--pst-icon-github);\n  }\n\n  &.gitlab::before {\n    content: var(--pst-icon-gitlab);\n  }\n}\n\n%heading-style {\n  margin: 2.75rem 0 1.05rem;\n  font-family: var(--pst-font-family-heading);\n  font-weight: var(--pst-font-weight-heading);\n  line-height: 1.15;\n}\n\nh1 {\n  @extend %heading-style;\n\n  margin-top: 0;\n  font-size: var(--pst-font-size-h1);\n  color: var(--pst-heading-color);\n}\n\nh2 {\n  @extend %heading-style;\n\n  font-size: var(--pst-font-size-h2);\n  color: var(--pst-heading-color);\n}\n\nh3 {\n  @extend %heading-style;\n\n  font-size: var(--pst-font-size-h3);\n  color: var(--pst-heading-color);\n}\n\nh4 {\n  @extend %heading-style;\n\n  font-size: var(--pst-font-size-h4);\n  color: var(--pst-heading-color);\n}\n\nh5 {\n  @extend %heading-style;\n\n  font-size: var(--pst-font-size-h5);\n  color: var(--pst-color-text-base);\n}\n\nh6 {\n  @extend %heading-style;\n\n  font-size: var(--pst-font-size-h6);\n  color: var(--pst-color-text-base);\n}\n\nsmall,\n.text_small {\n  font-size: var(--pst-font-size-milli);\n}\n\nhr {\n  border: 0;\n  border-top: 1px solid var(--pst-color-border);\n}\n\npre,\ncode,\nkbd,\nsamp {\n  font-family: var(--pst-font-family-monospace);\n}\n\nkbd {\n  // use theme negative\n  background-color: var(--pst-color-on-background);\n  color: var(--pst-color-text-muted);\n\n  // Compound keyboard elements will have nested kbd in them, so this prevents double lines\n  &:not(.compound) {\n    border: 1px solid var(--pst-color-border);\n    margin: 0 0.1rem;\n    padding: 0.1rem 0.4rem;\n    box-shadow: 1px 1px 1px var(--pst-color-shadow);\n  }\n}\n\ncode {\n  color: var(--pst-color-inline-code);\n}\n\npre {\n  margin: 1.5em 0;\n  padding: 1rem;\n  background-color: var(--pst-color-surface);\n  color: var(--pst-color-text-base);\n  line-height: 1.2em;\n  border: 1px solid var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n\n  .linenos {\n    // minimum opacity to make the line numbers WCAG AA conformant\n    opacity: 0.8;\n    padding-right: 10px;\n  }\n}\n\n// the back to top btn\n#pst-back-to-top {\n  z-index: $zindex-tooltip;\n  position: fixed;\n  display: none;\n  top: 90vh;\n  left: 50vw;\n  transform: translate(-50%);\n  color: var(--pst-color-secondary-text);\n  background-color: var(--pst-color-secondary);\n  border: none;\n\n  .fa-arrow-up {\n    // Using margin instead of a space character prevents the space between the\n    // icon and the text from being underlined when the button is hovered.\n    margin-inline-end: 0.5em;\n  }\n\n  &:hover {\n    @include link-style-hover;\n\n    text-decoration-thickness: 1px;\n    background-color: var(--pst-color-secondary-highlight);\n    color: var(--pst-color-secondary-highlight-text);\n  }\n\n  &:focus-visible {\n    box-shadow: none;\n    outline: $focus-ring-outline;\n    outline-color: var(--pst-color-secondary);\n    outline-offset: $focus-ring-width;\n  }\n}\n\n// Focus ring\n// ----------\n// Note: The Bootstrap stylesheet provides the focus ring (customized by this\n// theme via Sass variables in _bootstrap.scss) in some cases. This rule covers\n// all other cases.\n:focus-visible {\n  outline: $focus-ring-outline;\n  box-shadow: none; // override Bootstrap\n}\n","// Consistent styling for links\n// ============================\n\n@use \"sass:string\";\n\n// Define some useful variables for links styling consistency\n\n// The default thickness of the underline for links will be either:\n//  - 1px\n//  - 0.0625rem if it's thicker than 1px because the user has changed the text\n//    size in their browser\n$link-underline-thickness: string.unquote(\"max(1px, .0625rem)\") !default;\n\n// Offset of link underlines from text baseline\n// The default is 3px expressed as ems, as calculated against the default body\n// font size (on desktop).\n$link-underline-offset: 0.1578em !default;\n\n// Thickness of link underlines in hover state\n// The default for each link will be the thickest of the following:\n//  - 3px\n//  - 0.1875rem, if it's thicker than 3px because the user has changed the text\n//    size in their browser\n//  - 0.12em (relative to the link's text size)\n$link-hover-decoration-thickness: string.unquote(\n  \"max(3px, .1875rem, .12em)\"\n) !default;\n\n// Ensures links have an underline decoration by default - needed to meet\n// WCAG SC 1.4.1\n@mixin link-decoration {\n  text-decoration: underline;\n\n  @if $link-underline-thickness {\n    text-decoration-thickness: $link-underline-thickness;\n  }\n\n  @if $link-underline-offset {\n    text-underline-offset: $link-underline-offset;\n  }\n}\n\n// Ensures links have an underline decoration on hover - distinct from the\n// default behaviour\n@mixin link-decoration-hover {\n  @if $link-hover-decoration-thickness {\n    text-decoration-thickness: $link-hover-decoration-thickness;\n\n    // Disable ink skipping on underlines on hover.\n    text-decoration-skip-ink: none;\n  }\n}\n\n// Simple hover style - can be used alone or in conjunction with other mixins\n// Add the text underline and change in thickness on hover.\n// Intended for use with the `:hover` pseudo-class.\n@mixin link-style-hover {\n  @include link-decoration;\n  @include link-decoration-hover;\n\n  color: var(--pst-color-link-hover);\n}\n\n// Default link styles\n// -------------------\n// Defines: default unvisited, visited, hover, and active.\n// TODO: @trallard to improve focus styles in subsequent PR\n@mixin link-style-default {\n  // So that really long links don't spill out of their container\n  word-wrap: break-word;\n  color: var(--pst-color-link);\n\n  @include link-decoration;\n\n  &:hover {\n    color: var(--pst-color-link-hover);\n\n    @include link-decoration-hover;\n  }\n\n  // TODO: @trallard to add active styles in subsequent PR\n  &:active {\n    color: var(--pst-color-link);\n  }\n\n  // Visited should still be hoverable\n  &:visited {\n    color: var(--pst-color-link);\n\n    &:hover {\n      color: var(--pst-color-link-hover);\n    }\n  }\n}\n\n// Text link styles\n// ----------------\n// Makes links use the muted text colour and removes the underline.\n// Use this mixin for navigation bar links.\n@mixin link-style-text {\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n\n  &:hover {\n    color: var(--pst-color-link-hover);\n\n    @include link-decoration;\n    @include link-decoration-hover;\n  }\n}\n\n// Sidebar and TOC links\n// ---------------------\n// Makes links use the muted text colour and removes the underline.\n// Use this mixin for navigation the primary sidebar and table of contents.\n// Active and hover should work together rather than one overriding the other.\n@mixin link-sidebar {\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n\n  &:hover {\n    text-decoration: underline;\n    background-color: transparent;\n    color: var(--pst-color-link-hover);\n\n    @include link-decoration-hover;\n  }\n\n  // TODO: @trallard to update active styles in subsequent PR\n  &:active {\n    color: var(--pst-color-link-hover);\n  }\n\n  &:focus-visible {\n    box-shadow: $focus-ring-box-shadow;\n    outline: none;\n    z-index: 10; // keep focus ring on top (prevent the link-sidebar-current notch from lying on top of the ring)\n  }\n}\n\n// Sidebar current page link styles\n// --------------------------------\n// Adds a vertical line on the left hand side of the link to indicate that\n// it's the current page. Note this is distinct from an active state.\n// Used on the primary sidebar and the TOC.\n// We want the side box shadow to have the same thickness as the hover underline\n@mixin link-sidebar-current {\n  font-weight: 600;\n  color: var(--pst-color-primary);\n\n  @if $link-hover-decoration-thickness {\n    $notch-shadow: inset\n      $link-hover-decoration-thickness\n      0\n      0\n      var(--pst-color-primary);\n\n    box-shadow: $notch-shadow;\n\n    &:focus-visible {\n      box-shadow: $notch-shadow, $focus-ring-box-shadow;\n      outline: none;\n    }\n  }\n}\n\n// Header navbar text and icon links\n// ---------------------------------\n// (includes light/dark mode button)\n\n// This mixin makes it possible to show hover/underline and focus/ring styles at\n// the same time. The trick is to use:\n//    - a pseudo-element with bottom border for the hover underline\n//    - a CSS outline for the focus ring.\n\n// Normally we use box-shadow for underline and outline for focus ring. But we\n// cannot apply box-shadow and outline together on the same element because the\n// border-radius value that we use to round the outline will also round the\n// box-shadow used for the underline. We also cannot use text-underline because\n// it does not work on non-text links, nor do we want to use it on text links\n// that we want to treat as blocks, such as the header nav links because the\n// underline will wrap across two lines if the link text also wraps across two\n// lines.\n@mixin link-style-block {\n  color: var(--pst-color-text-muted);\n\n  // Set position relative so that the child ::before pseudo-element's absolute\n  // position is relative to this element.\n  position: relative;\n\n  // Set up pseudo-element used for hover underline styles\n  &::before {\n    content: \"\";\n    display: block;\n    position: absolute;\n    inset: 0;\n    background-color: transparent;\n\n    @if $link-hover-decoration-thickness {\n      bottom: calc(-1 * $link-hover-decoration-thickness);\n      margin: $link-hover-decoration-thickness 0;\n    }\n  }\n\n  &:hover {\n    color: var(--pst-color-secondary);\n    text-decoration: none; // override the link-style-hover mixin\n    &::before {\n      @if $link-hover-decoration-thickness {\n        border-bottom: $link-hover-decoration-thickness\n          solid\n          var(--pst-color-secondary);\n      }\n    }\n  }\n\n  &:focus-visible {\n    box-shadow: none; // override Bootstrap\n    outline: 3px solid var(--pst-color-accent);\n    outline-offset: 3px;\n  }\n}\n","// Override bootstrap variables\n$spacer: 1rem;\n$container-max-widths: (\n  sm: 540px,\n  md: 720px,\n  lg: 960px,\n  xl: 1400px,\n);\n$grid-breakpoints: (\n  xs: 0,\n  sm: 540px,\n  md: 720px,\n  lg: 960px,\n  xl: 1200px,\n);\n$dropdown-link-hover-bg: var(--pst-color-surface);\n\n// --pst-color-surface can also be assigned to the dark variant because it is\n// scoped to different values depending on light/dark theme\n$dropdown-dark-link-hover-bg: var(--pst-color-surface);\n$dropdown-link-active-bg: var(--pst-color-surface);\n$dropdown-dark-link-active-bg: var(--pst-color-surface);\n$focus-ring-width: 0.1875rem; // 3px at 100% zoom (0.1875 * 16px base font = 3px)\n$focus-ring-opacity: 1;\n$focus-ring-color: var(--pst-color-accent);\n$focus-ring-blur: 0;\n$focus-ring-box-shadow: 0 0 $focus-ring-blur $focus-ring-width $focus-ring-color;\n\n// outline creates the same style of focus ring, it just uses CSS outline instead of box shadow\n$focus-ring-outline: $focus-ring-color solid $focus-ring-width;\n$btn-focus-box-shadow: $focus-ring-box-shadow;\n","/***\n * Rules for the UX/UI of skip navigation link btn.\n * It's only visible to people\n * navigating with keyboard for accessibility purposes\n * ref: https://www.youtube.com/watch?v=VUR0I5mqq7I\n ***/\n\n.skip-link {\n  position: fixed;\n  top: 0;\n  left: 0;\n  right: 0;\n  text-align: center;\n  background-color: var(--pst-color-warning);\n  padding: 0.5rem;\n  z-index: $zindex-modal;\n  border-bottom: 1px solid var(--pst-color-border);\n\n  // This shows / hides the button\n  transform: translateY(-100%);\n  transition: transform 150ms ease-in-out;\n\n  &:focus-within {\n    transform: translateY(0%);\n  }\n\n  a {\n    // Ensure we are using a WCAG conformant colour\n    color: var(--pst-color-warning-text) !important;\n\n    &:focus-visible {\n      // use color with sufficient contrast\n      outline-color: $foundation-black;\n    }\n  }\n}\n",".bd-container {\n  flex-grow: 1;\n  display: flex;\n  justify-content: center;\n\n  .bd-container__inner {\n    display: flex;\n  }\n}\n\n.bd-page-width {\n  width: 100%;\n\n  @include media-breakpoint-up(lg) {\n    max-width: $breakpoint-page-width;\n  }\n}\n",".pst-async-banner-revealer {\n  // Setting height to 0 and overflow to hidden allows us to add up the heights\n  // of this element's children before revealing them.\n  height: 0;\n  overflow: hidden;\n\n  // Height to be set by JavaScript, which should trigger the following\n  // transition rule (unless the user has set their system to reduce motion).\n  transition: height 300ms ease-in-out;\n\n  @media (prefers-reduced-motion) {\n    transition: none;\n  }\n}\n\n#bd-header-version-warning,\n.bd-header-announcement {\n  min-height: 3rem;\n  width: 100%;\n  display: flex;\n  position: relative;\n  align-items: center;\n  justify-content: center;\n  text-align: center;\n  padding: 0.5rem 12.5%; // Horizontal padding so the width is 75%\n  // One breakpoint less than $breakpoint-sidebar-primary. See variables/_layout.scss for more info.\n  @include media-breakpoint-down(lg) {\n    // Announcements can take a bit more width on mobile\n    padding: 0.5rem 2%;\n  }\n\n  p {\n    font-weight: bold;\n    margin: 0;\n  }\n\n  // Ensure there is enough contrast against the background\n  a {\n    color: var(--pst-color-inline-code-links);\n  }\n\n  // The \"Switch to stable version\" link (styled like a button)\n  .pst-button-link-to-stable-version {\n    @include box-shadow;\n\n    $background-color: var(--pst-color-danger);\n    $hover-background-color: var(--pst-color-danger-highlight);\n    $color: var(--pst-color-danger-text);\n\n    background-color: $background-color;\n    border-color: $background-color;\n    color: $color;\n    border-radius: 0.25rem;\n\n    &:hover {\n      // applying the same style as the SD \"buttons\"\n      @include link-style-hover;\n\n      text-decoration-thickness: 1px;\n      background-color: $hover-background-color;\n      border-color: $hover-background-color;\n      color: var(--pst-color-danger-highlight-text);\n    }\n\n    &:focus-visible {\n      outline: $focus-ring-width solid $background-color;\n      outline-offset: $focus-ring-width;\n    }\n  }\n}\n\n// Bg color is now defined in the theme color palette - using our secondary color\n.bd-header-announcement {\n  background-color: var(--pst-color-secondary-bg);\n}\n\n#bd-header-version-warning {\n  background-color: var(--pst-color-danger-bg);\n}\n","/*********************************************\n* SASS Mixins\n*********************************************/\n\n/**\n * A consistent box shadow style we apply across elements.\n */\n@mixin box-shadow() {\n  box-shadow:\n    0 0.2rem 0.5rem var(--pst-color-shadow),\n    0 0 0.0625rem var(--pst-color-shadow) !important;\n}\n\n/**\n   * Set background of some cell outputs to white-ish to make sure colors work\n   * This is because many libraries make output that only looks good on white\n   */\n@mixin cell-output-background {\n  color: var(--pst-color-on-background);\n  background-color: var(--pst-color-text-base);\n  border-radius: 0.25rem;\n  padding: 0.5rem;\n}\n\n@mixin table-colors {\n  color: var(--pst-color-table);\n  border: 1px solid var(--pst-color-table-outer-border);\n\n  th,\n  td {\n    ~ th,\n    ~ td {\n      border-left: 1px solid var(--pst-color-table-inner-border);\n    }\n  }\n\n  thead {\n    tr {\n      background-color: var(--pst-color-table-heading-bg);\n      border-bottom: 2px solid var(--pst-color-primary);\n    }\n  }\n\n  tbody {\n    tr {\n      &:nth-child(odd) {\n        background-color: var(--pst-color-table-row-zebra-low-bg);\n      }\n\n      &:nth-child(even) {\n        background-color: var(--pst-color-table-row-zebra-high-bg);\n      }\n\n      &:hover {\n        background-color: var(--pst-color-table-row-hover-bg);\n      }\n    }\n  }\n}\n\n// Minimum mouse hit area\n// ----------------------\n// Ensures that the element has a minimum hit area that conforms to\n// accessibility guidelines. For WCAG AA, we need 24px x 24px, see:\n// https://www.w3.org/WAI/WCAG22/Understanding/target-size-minimum.html\n@mixin min-hit-area() {\n  box-sizing: border-box;\n  min-width: 24px;\n  min-height: 24px;\n}\n","/**\n * Main content area\n */\n.bd-main {\n  flex-grow: 1;\n  flex-direction: column;\n  display: flex;\n  min-width: 0;\n\n  .bd-content {\n    display: flex;\n    justify-content: center;\n    height: 100%;\n\n    .bd-article-container {\n      justify-content: start;\n      display: flex;\n      flex-direction: column;\n\n      // Max-width is slightly more than the W3 since our docs often have images.\n      // We shoot for about 100 characters per line instead of 80.\n      // ref: https://www.w3.org/WAI/tutorials/page-structure/styling/#line-length\n      width: 100%;\n      max-width: 60em;\n      overflow-x: auto; // Prevent wide content from pushing off the secondary sidebar\n      padding: 1rem;\n\n      .bd-article {\n        // Give a bit more verticle spacing on wide screens\n        @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n          padding-top: 1.5rem;\n          padding-left: 2rem;\n        }\n      }\n    }\n  }\n}\n",".bd-footer {\n  width: 100%;\n  border-top: 1px solid var(--pst-color-border);\n\n  .bd-footer__inner {\n    display: flex;\n    flex-grow: 1;\n    padding: 1rem;\n    margin: auto;\n  }\n\n  .footer-items__start,\n  .footer-items__center,\n  .footer-items__end {\n    display: flex;\n    flex-direction: column;\n    gap: 0.5rem;\n    justify-content: center;\n    flex-grow: 1;\n  }\n\n  .footer-items__center {\n    text-align: center;\n  }\n\n  .footer-items__end {\n    text-align: end;\n  }\n\n  // So that paragraphs don't take up extra room\n  .footer-item p {\n    margin-bottom: 0;\n  }\n}\n",".bd-footer-article {\n  margin-top: auto;\n\n  .footer-article-items {\n    display: flex;\n    flex-direction: column;\n  }\n}\n",".bd-footer-content {\n  .footer-content-items {\n    display: flex;\n    flex-direction: column;\n    margin-top: auto;\n  }\n}\n","/**\n * Header at the top of the page\n * It includes the announcement bar and the navigation bar.\n */\n\n// Styling for the Icon links can be found in components/_icon-links.scss\n\n// If we want the shadow to only point downward in the future, set\n// box-shadow to: 0 0.125rem 0.25rem -0.125rem rgba(0, 0, 0, 0.11);\n.bd-header {\n  position: sticky;\n  top: 0;\n  z-index: $zindex-fixed;\n\n  // Overrides bootstrap\n  background-color: var(--pst-color-on-background) !important;\n  box-shadow: 0 0.125rem 0.25rem 0 var(--pst-color-shadow);\n  width: 100%;\n  padding: 0;\n  max-width: 100vw;\n  justify-content: center;\n\n  .bd-header__inner {\n    display: flex;\n    align-items: center;\n    height: fit-content;\n    padding-left: 1rem;\n    padding-right: 1rem;\n  }\n\n  :focus-visible {\n    border-radius: $focus-ring-radius;\n  }\n\n  // These items will define the height of the header\n  .navbar-item {\n    height: var(--pst-header-height);\n    max-height: var(--pst-header-height);\n    display: flex;\n    align-items: center;\n  }\n\n  // Hide the navbar header items on mobile because they're in the sidebar\n  .navbar-header-items {\n    display: none;\n    flex-shrink: 1;\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: inherit;\n      flex-grow: 1;\n      padding: 0 0 0 0.5rem;\n    }\n  }\n\n  .navbar-header-items__end,\n  .navbar-header-items__center,\n  .navbar-header-items__start {\n    display: flex;\n    align-items: center;\n    flex-flow: wrap;\n\n    // In case we wrap our items to multiple rows on small screens\n    row-gap: 0;\n  }\n\n  .navbar-header-items__end,\n  .navbar-header-items__center {\n    column-gap: $nav-icon-column-gap;\n  }\n\n  // A little smaller because this is displayed by default on mobile\n  .navbar-header-items__start {\n    flex-shrink: 0;\n    margin-right: auto;\n    gap: 0.5rem;\n  }\n\n  .navbar-header-items__end {\n    // End navbar items should snap to the right\n    justify-content: end;\n  }\n\n  // Contains the navigation links within the navbar\n  ul.navbar-nav {\n    display: flex;\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      // Align on wide screens so the dropdown button is centered properly\n      align-items: baseline;\n    }\n\n    > li.nav-item {\n      margin-inline: 2px; // breathing room so hover and focus styles do not overlap\n\n      > .nav-link {\n        @include link-style-block;\n\n        padding-inline: 6px;\n      }\n\n      &.current {\n        > .nav-link {\n          color: var(--pst-color-primary);\n\n          // Underline the current navbar item\n          &::before {\n            border-bottom: 3px solid var(--pst-color-primary);\n          }\n        }\n      }\n\n      &.dropdown {\n        margin-inline: 4px;\n\n        button {\n          padding-inline: 8px;\n        }\n\n        > .dropdown-toggle {\n          border-radius: $focus-ring-radius; // make border radius the same for both hover ring and focus ring\n          color: var(--pst-color-text-muted);\n\n          &:focus-visible {\n            box-shadow: $focus-ring-box-shadow;\n          }\n\n          &:hover {\n            text-decoration: none;\n            box-shadow: 0 0 0 $focus-ring-width var(--pst-color-link-hover); // purple focus ring\n            // Brighten the text on hover (muted -> base)\n            color: var(--pst-color-text-base);\n          }\n        }\n      }\n    }\n\n    li a.nav-link.dropdown-item {\n      @include link-style-text;\n    }\n\n    // Dropdowns for the extra links\n    .dropdown {\n      button {\n        display: unset;\n        border: none;\n\n        &:hover {\n          @include link-style-hover;\n        }\n      }\n\n      .dropdown-menu {\n        z-index: $zindex-popover;\n        border: 1px solid var(--pst-color-border);\n        box-shadow: 0 0 0.3rem 0.1rem var(--pst-color-shadow);\n        background-color: var(--pst-color-on-background);\n        padding: 0.5rem 0;\n        margin: 0.5rem 0;\n        min-width: 20rem;\n\n        .dropdown-item {\n          // Give the items in the dropdown some breathing room but let the hit\n          // and hover area of the items extend to the edges of the menu\n          padding: 0.25rem 1.5rem;\n\n          // Override Bootstrap\n          &:focus:not(:hover, :active) {\n            background-color: inherit;\n          }\n\n          &:focus-visible {\n            z-index: 10; // keep focus ring on top (prevent the hover background of the next dropdown item from covering the ring)\n          }\n        }\n\n        // Hide the menu unless show has been clicked\n        &:not(.show) {\n          display: none;\n        }\n      }\n    }\n  }\n\n  // **************************************************************\n  // Showing and hiding the sidebar toggle buttons and header items\n  // **************************************************************\n\n  // Toggle buttons\n  button.sidebar-toggle {\n    font-size: var(--pst-font-size-icon);\n    color: var(--pst-color-muted);\n    margin-bottom: 0;\n    background-color: inherit;\n    padding: 0.5rem;\n  }\n\n  button.primary-toggle {\n    margin-right: 1rem;\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: none;\n    }\n  }\n\n  button.secondary-toggle {\n    margin-left: 1rem;\n\n    @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n      display: none;\n    }\n  }\n}\n\n// inline the element in the navbar as long as they fit and use display block when collapsing\n@include media-breakpoint-up($breakpoint-sidebar-primary) {\n  .navbar-center-items .navbar-item {\n    display: inline-block;\n  }\n}\n\n.nav-link {\n  &:hover {\n    @include link-style-hover;\n  }\n\n  // Override Bootstrap\n  transition: none;\n\n  &.nav-external::after {\n    font: var(--fa-font-solid);\n    content: var(--pst-icon-external-link);\n    font-size: 0.75em;\n    margin-left: 0.3em;\n  }\n}\n\n.bd-navbar-elements li.nav-item i {\n  font-size: 0.7rem;\n  padding-left: 2px;\n  vertical-align: middle;\n}\n\n// THe elements next to the hamburger menu only show on narrow screens\n.navbar-persistent--mobile {\n  margin-left: auto;\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: none;\n  }\n}\n\n// The navbar-persistent content should only show on wide screens\n.navbar-persistent--container {\n  display: none;\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: flex;\n  }\n}\n",".header-article__inner {\n  padding: 0 0.5rem;\n\n  // The items define the height so that it disappears if there are no items\n  .header-article-item {\n    min-height: var(--pst-header-article-height);\n  }\n\n  .header-article-items__end {\n    margin-left: auto;\n  }\n}\n","/**\n * The primary sidebar on the left.\n * e.g., between-pages navigation.\n */\n\n$sidebar-padding-right: 1rem;\n\n.bd-sidebar-primary {\n  display: flex;\n  flex-direction: column;\n  gap: 1rem;\n  max-height: calc(100vh - var(--pst-header-height));\n  position: sticky;\n  top: var(--pst-header-height);\n\n  @include make-col(3);\n\n  // Borders padding and whitespace\n  padding: 2rem $sidebar-padding-right 1rem 1rem;\n  border-right: 1px solid var(--pst-color-border);\n  background-color: var(--pst-color-background);\n  overflow-y: auto;\n  font-size: var(--pst-sidebar-font-size-mobile);\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    font-size: var(--pst-sidebar-font-size);\n  }\n\n  :focus-visible {\n    border-radius: $focus-ring-radius;\n  }\n\n  // override bootstrap when navlink are displayed in the sidebar\n  .nav-link {\n    font-size: var(--pst-sidebar-font-size-mobile);\n  }\n\n  &.no-sidebar {\n    border-right: 0;\n  }\n\n  &.hide-on-wide {\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: none;\n    }\n  }\n\n  // Headers shouldn't be colored in the sidebars and some extensions add headers\n  h1,\n  h2,\n  h3,\n  h4 {\n    color: var(--pst-color-text-base);\n  }\n\n  .sidebar-primary-items__start,\n  .sidebar-primary-items__end {\n    .sidebar-primary-item {\n      padding: 0.5rem 0;\n    }\n  }\n\n  // Hide the sidebar header items on widescreen since they are visible in the header\n  .sidebar-header-items {\n    display: flex;\n    flex-direction: column;\n\n    .sidebar-header-items__title {\n      font-weight: var(--pst-sidebar-header-font-weight);\n      font-size: var(--pst-sidebar-header-font-size);\n      color: var(--pst-color-text-base);\n      margin-bottom: 0.5rem;\n    }\n\n    .bd-navbar-elements {\n      .nav-link {\n        &:focus-visible {\n          box-shadow: none; // Override Bootstrap\n          outline: $focus-ring-outline;\n          outline-offset: $focus-ring-width;\n        }\n      }\n    }\n\n    // Center header items get displayed vertically, end items are displayed horizontally\n    .sidebar-header-items__center {\n      display: flex;\n      flex-direction: column;\n    }\n\n    // Positioning end items\n    .sidebar-header-items__end {\n      display: flex;\n      align-items: center;\n      gap: 1rem;\n    }\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: none;\n    }\n  }\n\n  .sidebar-primary-items__start {\n    // Add a border on mobile to separate it from the header sidebar area\n    border-top: 1px solid var(--pst-color-border);\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      border-top: none;\n    }\n  }\n\n  .sidebar-primary-items__end {\n    margin-top: auto;\n    margin-bottom: 1em;\n  }\n\n  .list-caption {\n    list-style: none;\n    padding-left: 0;\n\n    // Level 0 TOC heading is put inside the <summary> tag\n    // so let the <summary> tag take up more space\n    li.toctree-l0.has-children {\n      > details {\n        > summary {\n          position: relative;\n          height: auto;\n          width: auto;\n          display: flex;\n          justify-content: space-between;\n          align-items: baseline;\n\n          .toctree-toggle {\n            // Prevent toggle icon from getting squished by summary being a\n            // flexbox\n            flex: 0 0 auto;\n\n            // Make the level 0 chevron icon slightly bigger than descendant\n            // levels\n            .fa-chevron-down {\n              font-size: 1rem;\n            }\n          }\n        }\n      }\n    }\n  }\n\n  li.has-children {\n    $toctree-toggle-width: 30px;\n\n    position: relative;\n\n    > .reference,\n    .caption {\n      margin-right: calc(\n        $toctree-toggle-width + $focus-ring-width\n      ); // keep clear of the toggle icon\n\n      padding-top: 0.25rem; // align caption text with toggle chevron\n    }\n\n    > details {\n      > summary {\n        // Remove browser default toggle icon\n        list-style: none;\n\n        &::-webkit-details-marker {\n          display: none;\n        }\n\n        // The summary element is natively focusable, but delegate the focus state to the toggle icon\n        &:focus-visible {\n          outline: none;\n\n          > .toctree-toggle {\n            outline: $focus-ring-outline;\n            outline-offset: -$focus-ring-width; // Prevent right side of focus ring from disappearing underneath the sidebar's right edge\n          }\n        }\n\n        // Container for expand/collapse chevron icon\n        .toctree-toggle {\n          cursor: pointer;\n\n          // Position it so that it's aligned with the top right corner of the\n          // last positioned element, in this case the li.has-children\n          position: absolute;\n          top: 0;\n          right: 0;\n\n          // Give it dimensions\n          width: $toctree-toggle-width;\n          height: $toctree-toggle-width; // make it square\n\n          // Vertically and horizontally center the icon within the container\n          display: inline-flex;\n          justify-content: center;\n          align-items: center;\n\n          .fa-chevron-down {\n            font-size: 0.75rem;\n          }\n        }\n      }\n\n      // The section is open/expanded, rotate the toggle icon (chevron) so it\n      // points up instead of down\n      &[open] {\n        > summary {\n          .fa-chevron-down {\n            transform: rotate(180deg);\n          }\n        }\n      }\n    }\n  }\n}\n\n/* Between-page links and captions */\nnav.bd-links {\n  margin-right: -$sidebar-padding-right; // align toctree toggle chevrons with right edge of sidebar and allow text to flow closer to the right edge\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: block;\n  }\n\n  ul {\n    display: block;\n    list-style: none;\n\n    // Reduce padding of nested `ul` items a bit\n    ul {\n      padding: 0 0 0 1rem;\n    }\n  }\n\n  li > a {\n    display: block;\n    padding: $toc-item-padding-y 0.65rem;\n\n    @include link-sidebar;\n\n    box-shadow: none;\n    margin-right: $focus-ring-width; // prevent the right side focus ring from disappearing under the sidebar right edge\n\n    &.reference.external {\n      &::after {\n        font: var(--fa-font-solid);\n        content: var(--pst-icon-external-link);\n        font-size: 0.75em;\n        margin-left: 0.3em;\n      }\n    }\n  }\n\n  .current > a {\n    @include link-sidebar-current;\n\n    background-color: transparent;\n  }\n\n  // Title\n  p.bd-links__title {\n    font-size: var(--pst-sidebar-header-font-size);\n    font-weight: var(--pst-sidebar-header-font-weight);\n    margin-bottom: 0.5rem;\n  }\n\n  // Toctree captions\n  p.caption {\n    font-weight: var(--pst-sidebar-header-font-weight);\n    position: relative;\n    margin-top: 1.25rem;\n    margin-bottom: 0.5rem;\n    color: var(--pst-color-text-base);\n\n    &:first-child {\n      margin-top: 0;\n    }\n\n    font-size: var(--pst-sidebar-font-size-mobile);\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      font-size: var(--pst-sidebar-font-size);\n    }\n  }\n}\n","/**\n * Secondary sidebar on the right.\n * e.g., in-page table of contents.\n */\n.bd-sidebar-secondary {\n  display: flex;\n  order: 2;\n  flex-shrink: 0;\n  flex-direction: column;\n  position: sticky;\n  top: var(--pst-header-height);\n  max-height: calc(100vh - var(--pst-header-height));\n  padding: 2rem 1rem 1rem;\n  width: var(--pst-sidebar-secondary);\n  font-size: var(--pst-sidebar-font-size-mobile);\n\n  @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n    font-size: var(--pst-sidebar-font-size);\n  }\n\n  // Color and border\n  background-color: var(--pst-color-background);\n  overflow-y: auto;\n}\n\n.sidebar-secondary-item {\n  padding: 0.5rem;\n\n  @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n    border-left: 1px solid var(--pst-color-border);\n    padding-left: 1rem;\n  }\n\n  i {\n    padding-right: 0.5rem;\n  }\n}\n","/*******************************************************************************\n* Rules for the UX/UI of sidebar sliding drawers on mobile\n* Note that this sheet controls styles across many parts of the theme\n* It is aggregated into this one sheet instead of being split across\n* components in order to keep it easier to debug in one place.\n* It is broken up into major sections below.\n*/\n\n/*******************************************************************************\n* Sidebar drawer behavior\n*/\n\n/**\n * NOTE: We use this mixin to define the toggle behavior on narrow screens,\n * And the wide-screen behavior of the sections is defined in their own section\n * .scss files.\n */\n@mixin sliding-drawer($side: \"left\") {\n  position: fixed;\n  top: 0;\n  z-index: $zindex-modal;\n  height: 100vh;\n  max-height: 100vh;\n  width: 75%;\n  flex-grow: 0.75;\n  max-width: 350px;\n  transition:\n    visibility $animation-time ease-out,\n    margin $animation-time ease-out;\n  visibility: hidden;\n  border: 0;\n\n  @if $side == \"right\" {\n    margin-right: -75%;\n    right: 0;\n  } @else {\n    margin-left: -75%;\n    left: 0;\n  }\n}\n\n.bd-sidebar::backdrop {\n  background-color: black;\n  opacity: 0.5;\n}\n\n.bd-sidebar-primary {\n  @include media-breakpoint-down($breakpoint-sidebar-primary) {\n    @include sliding-drawer(\"left\");\n  }\n\n  &[open] {\n    margin-left: 0;\n    visibility: visible;\n  }\n}\n\n.bd-sidebar-secondary {\n  @include media-breakpoint-down($breakpoint-sidebar-secondary) {\n    @include sliding-drawer(\"right\");\n  }\n\n  &[open] {\n    margin-right: 0;\n    visibility: visible;\n  }\n}\n","/**\n * Breadcrumbs for parent pages meant for the article header\n */\nul.bd-breadcrumbs {\n  list-style: none;\n  padding-left: 0;\n  display: flex;\n  flex-wrap: wrap;\n\n  // Font size slightly smaller to avoid cluttering up space too much\n  font-size: 0.8rem;\n\n  li.breadcrumb-item {\n    display: flex;\n    align-items: center;\n    white-space: nowrap;\n    overflow-x: hidden;\n\n    a,\n    .ellipsis {\n      overflow-x: hidden;\n      text-overflow: ellipsis;\n\n      // Need to add margin, otherwise the overflow: hidden rule on the parent\n      // will hide the focus ring\n      margin: $focus-ring-width;\n    }\n\n    // Style should look like heavier in-page links\n    // keeping visited in the default link colour\n    font-weight: bold;\n\n    a {\n      @include link-style-text;\n    }\n\n    // Items that aren't the home have a caret to the left\n    &:not(.breadcrumb-home)::before {\n      font: var(--fa-font-solid);\n      font-size: 0.8rem;\n      content: var(--pst-breadcrumb-divider);\n      color: var(--pst-color-text-muted);\n      padding: 0 0.5rem;\n    }\n  }\n}\n","/**\n * Icon links in the navbar\n */\n\n.pst-navbar-icon {\n  // Extra specificity needed for overrides\n  html & {\n    @include min-hit-area;\n    @include link-style-block;\n\n    display: flex;\n    align-items: center;\n    justify-content: center;\n\n    // Bootstrap overrides\n    border-radius: 0;\n    border: none;\n    font-size: 1rem;\n    line-height: $line-height-body; // Override Boostrap, which defines a separate line-height for buttons\n    padding: $navbar-link-padding-y 0; // Horizontal white space in nav bar between items is controlled via column gap rule on the container.\n\n    // Make the navbar icon links have the same size as the navbar text links\n    height: calc(2 * $navbar-link-padding-y + $line-height-body * 1rem);\n  }\n}\n\nul.navbar-icon-links {\n  display: flex;\n  flex-flow: row wrap;\n  column-gap: $nav-icon-column-gap;\n  justify-content: space-evenly;\n  align-items: center;\n  padding-left: 0;\n  margin-bottom: 0;\n  list-style: none;\n\n  // Icons styling\n  i {\n    &.fa-brands,\n    &.fa-regular,\n    &.fa-solid {\n      vertical-align: middle;\n      font-style: normal;\n      font-size: var(--pst-font-size-icon);\n    }\n\n    /* Social media buttons hard-code the brand color */\n    &.fa-square-twitter::before {\n      color: #55acee;\n    }\n\n    &.fa-square-gitlab::before {\n      color: #548;\n    }\n\n    &.fa-bitbucket::before {\n      color: #0052cc;\n    }\n  }\n\n  // Force images to be icon-sized\n  img.icon-link-image {\n    height: 1.5em;\n    border-radius: 0.2rem;\n  }\n\n  .fa-pydata {\n    stroke: var(--pst-color-background);\n    stroke-linejoin: round;\n    stroke-width: 0.35;\n  }\n}\n","/**\n * Logo in the navbar\n */\n\n.navbar-brand {\n  position: relative;\n  height: var(--pst-header-height);\n  max-height: var(--pst-header-height);\n  padding: 0.5rem 0;\n  width: auto;\n  margin: 0;\n  display: flex;\n\n  // Ensure that the logo stays the same length while other content shrinks\n  flex-shrink: 0;\n  align-items: center;\n  gap: 0.5rem;\n\n  // If there's no logo image, we use a p element w/ the site title\n  p {\n    color: var(--pst-color-text-base);\n    margin-bottom: 0;\n  }\n\n  // If there's a logo, it'll be in an img block\n  img {\n    max-width: 100%;\n    height: 100%;\n    width: auto;\n  }\n\n  &:hover,\n  &:visited:hover {\n    @include link-style-hover;\n\n    color: var(--pst-color-text-base);\n  }\n}\n","/**\n * Navigation links in the navbar and icon links\n */\nul.navbar-nav {\n  // Reduce padding of nested `ul` items a bit\n  ul {\n    padding: 0 0 0 1rem;\n  }\n\n  // Navbar links - do not have an underline by default\n  li {\n    display: flex;\n    flex-direction: column;\n\n    a {\n      display: flex;\n      align-items: center;\n      height: 100%;\n      padding-top: $navbar-link-padding-y;\n      padding-bottom: $navbar-link-padding-y;\n\n      @include link-style-text;\n    }\n  }\n}\n","/**\n * The list of in-page TOC links\n */\n.page-toc {\n  .section-nav {\n    padding-left: 0;\n    border-bottom: none;\n\n    ul {\n      padding-left: 1rem;\n    }\n  }\n\n  // override bootstrap settings\n  .nav-link {\n    font-size: var(--pst-sidebar-font-size-mobile);\n\n    @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n      font-size: var(--pst-sidebar-font-size);\n    }\n  }\n\n  .onthispage {\n    color: var(--pst-color-text-base);\n    font-weight: var(--pst-sidebar-header-font-weight);\n    margin-bottom: 0.5rem;\n  }\n}\n","/**\n* Previous / Next navigation buttons\n**/\n.prev-next-area {\n  width: 100%;\n\n  p {\n    color: var(--pst-color-text-muted);\n    margin: 0 0.3em;\n    line-height: 1.3em;\n  }\n\n  i {\n    font-size: 1.2em;\n  }\n\n  a {\n    // So that buttons align with icons\n    display: flex;\n    align-items: center;\n    border: none;\n    padding: 10px;\n    max-width: 45%;\n    overflow-x: hidden;\n    color: var(--pst-color-text-muted);\n    text-decoration: none;\n\n    p.prev-next-title {\n      @include link-style-default;\n\n      font-weight: var(--pst-admonition-font-weight-heading);\n      font-size: 1.1em;\n    }\n\n    &:hover,\n    &:visited:hover {\n      p.prev-next-title {\n        @include link-style-hover;\n      }\n    }\n\n    .prev-next-info {\n      flex-direction: column;\n      margin: 0 0.5em;\n\n      .prev-next-subtitle {\n        text-transform: capitalize;\n      }\n    }\n\n    &.left-prev {\n      float: left;\n    }\n\n    &.right-next {\n      float: right;\n\n      div.prev-next-info {\n        text-align: right;\n      }\n    }\n  }\n}\n","/**\n * Search field\n **/\n.bd-search {\n  position: relative;\n  padding-left: 0.5rem;\n  gap: 0.5rem;\n  background-color: var(--pst-color-background);\n  border-radius: $admonition-border-radius;\n  border: 1px solid var(--pst-color-border);\n  color: var(--pst-color-text-base);\n\n  // Background should always be same color regardless of active or not\n  &:active {\n    background-color: var(--pst-color-background);\n    color: var(--pst-color-text-muted);\n  }\n\n  // Hoist the focus ring from the input field to its parent\n  &:focus-within {\n    box-shadow: $focus-ring-box-shadow;\n\n    input:focus {\n      box-shadow: none;\n    }\n  }\n\n  .icon {\n    position: absolute;\n    color: var(--pst-color-border);\n    left: 25px;\n  }\n\n  .fa-solid.fa-magnifying-glass {\n    position: absolute;\n    left: calc((2.5rem - 0.7em) / 2);\n    color: var(--pst-color-text-muted);\n  }\n\n  input.form-control {\n    background-color: var(--pst-color-background);\n    color: var(--pst-color-text-base);\n    border: none;\n\n    // Inner-text of the search bar\n    &::placeholder {\n      color: var(--pst-color-text-muted);\n    }\n\n    // Remove the little \"x\" that pops up when you start typing\n    &::-webkit-search-cancel-button,\n    &::-webkit-search-decoration {\n      appearance: none;\n    }\n\n    &:focus,\n    &:focus-visible {\n      color: var(--pst-color-text-muted);\n    }\n  }\n\n  // Shows off the keyboard shortcuts for the button\n  .search-button__kbd-shortcut {\n    display: none;\n    margin-inline-end: 0.5rem;\n    color: var(--pst-color-border);\n\n    @include media-breakpoint-up(md) {\n      display: flex;\n    }\n  }\n}\n\n/**\n * Search button - located in the navbar\n */\n.search-button i {\n  // Search link icon should be a bit bigger since it is separate from icon links\n  font-size: 1.3rem;\n}\n\n/**\n * The search modal <dialog>\n */\n#pst-search-dialog {\n  display: none;\n\n  &[open] {\n    display: flex;\n\n    // Center in middle of screen just underneath header\n    position: fixed;\n    z-index: $zindex-modal;\n    top: 30%;\n    left: 50%;\n    transform: translate(-50%, -50%);\n    right: 1rem;\n    margin-top: 0.5rem;\n    width: 90%;\n    max-width: 800px;\n    background-color: transparent;\n    padding: $focus-ring-width;\n    border: none;\n\n    &::backdrop {\n      background-color: black;\n      opacity: 0.5;\n    }\n\n    form.bd-search {\n      flex-grow: 1;\n\n      // Font and input text a bit bigger\n      svg,\n      input {\n        font-size: var(--pst-font-size-icon);\n      }\n    }\n  }\n}\n\n/**\n * The search button component that looks like a field.\n * Lives at components/search-button-field.html\n */\n.search-button-field {\n  $search-button-border-radius: 1.5em;\n\n  display: inline-flex;\n  align-items: center;\n  border: var(--pst-color-border) solid 1px;\n  border-radius: $search-button-border-radius;\n  color: var(--pst-color-text-muted);\n  padding: 0.5em;\n  background-color: var(--pst-color-surface);\n\n  &:hover {\n    box-shadow: 0 0 0 $focus-ring-width var(--pst-color-link-hover);\n  }\n\n  &:focus-visible {\n    border-radius: $search-button-border-radius;\n  }\n\n  // The keyboard shortcut text\n  .search-button__default-text {\n    font-size: var(--bs-nav-link-font-size);\n    font-weight: var(--bs-nav-link-font-weight);\n    margin-right: 0.5em;\n    margin-left: 0.5em;\n  }\n\n  .kbd-shortcut__modifier {\n    font-size: 0.75em;\n  }\n\n  // Ensures that all the text lines up in the middle\n  > * {\n    align-items: center;\n  }\n\n  // Only the icon should be visible on narrow screens\n  > :not(svg) {\n    display: none;\n\n    @include media-breakpoint-up(lg) {\n      display: flex;\n    }\n  }\n}\n","/**\n * The 'Hide Search Matches' button.\n * This only shows up when a person lands on a page after clicking a search result.\n * Clicking it removes the highlighting of the search term from the page.\n * We want it to behave like a button.\n */\ndiv#searchbox {\n  // Leave `#searchbox` rules empty so that it doesn't show at all when it is empty\n  p.highlight-link {\n    margin: 1rem 0;\n    width: fit-content;\n\n    // A bit more margin on wide screens to mimic article behavior\n    @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n      margin-left: 2rem;\n    }\n\n    // Put outer shadow on this one so that we can darken the link w/ an inner shadow\n    @include box-shadow;\n\n    // Style the button to look like a Sphinx Design button\n    a {\n      border-radius: 0.25rem;\n      font-size: 1.25rem;\n      padding: 0.75rem;\n      background-color: var(--pst-color-primary);\n      color: var(--pst-color-primary-text);\n      text-decoration: none;\n\n      // The box shadow is inset so that it darkens the button on hover\n      transition: box-shadow 0.25s ease-out;\n\n      &:hover {\n        box-shadow: inset 0 0 50px 50px rgb(0 0 0 / 25%);\n      }\n\n      &::before {\n        content: var(--pst-icon-search-minus);\n        color: unset;\n        font: var(--fa-font-solid);\n        margin-right: 0.5rem;\n      }\n    }\n  }\n}\n","/**\n * Light/dark theme switcher\n */\n\n.theme-switch-button {\n  .theme-switch {\n    display: none;\n\n    &:active {\n      text-decoration: none;\n      color: var(--pst-color-link-hover);\n    }\n\n    .fa-lg {\n      aspect-ratio: 1 / 1;\n    }\n  }\n}\n\n@each $mode in auto, light, dark {\n  html[data-mode=\"#{$mode}\"]\n    .theme-switch-button\n    .theme-switch[data-mode=\"#{$mode}\"] {\n    display: inline; // inline needed for span height to be calculated using inherited font size and line height\n  }\n}\n","button.btn.version-switcher__button {\n  border-color: var(--pst-color-border);\n  color: var(--pst-color-text-base);\n\n  // Add a margin on narrow screens to avoid feeling cramped\n  margin-bottom: 1em;\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    margin-bottom: unset;\n  }\n\n  &:hover {\n    box-shadow: 0 0 0 $focus-ring-width var(--pst-color-secondary);\n    border-color: transparent;\n  }\n\n  &:active {\n    color: var(--pst-color-text-base);\n    border-color: var(--pst-color-border);\n  }\n\n  &:focus-visible {\n    border-color: transparent;\n  }\n}\n\n.version-switcher__menu {\n  border-color: var(--pst-color-border);\n  border-radius: var(--bs-dropdown-border-radius);\n\n  a.list-group-item {\n    background-color: var(--pst-color-on-background);\n    color: var(--pst-color-text-base);\n    padding: 0.75rem 1.25rem;\n\n    &:not(:last-child) {\n      border-bottom: 1px solid var(--pst-color-border);\n    }\n\n    &:hover {\n      @include link-style-hover;\n\n      background-color: var(--pst-color-surface);\n    }\n\n    &.active {\n      @include link-sidebar-current;\n\n      position: relative;\n      z-index: 1;\n\n      span::before {\n        content: \"\";\n        width: 100%;\n        height: 100%;\n        position: absolute;\n        z-index: -1;\n        left: 0;\n        top: 0;\n      }\n    }\n\n    &:focus-visible {\n      z-index: 10; // keep focus ring on top (prevent the hover background of the next dropdown item from covering the ring)\n    }\n  }\n}\n\n// Font behavior on mobile\nbutton.version-switcher__button,\n.version-switcher__menu {\n  font-size: 1.1em; // A bit smaller than other menu font\n  z-index: $zindex-modal; // higher than the sidebars\n\n  // Make sure it meets WCAG target size requirement no matter the version\n  // string displayed in the button\n  @include min-hit-area;\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    font-size: unset;\n  }\n}\n","/* Collapsing of the TOC sidebar while scrolling */\n\n/* Nav: hide second level (shown on .active) */\n\nnav.page-toc {\n  // A little extra space before the buttons\n  margin-bottom: 1rem;\n}\n\n.bd-toc .nav {\n  .nav {\n    display: none;\n\n    // So we can manually specify a level as visible in the config\n    &.visible {\n      display: block;\n    }\n  }\n\n  > .active > ul {\n    display: block;\n  }\n}\n\n// Each entry of the in-page TOC\n.toc-entry {\n  display: block;\n\n  a > code {\n    color: var(--pst-color-text-muted);\n  }\n\n  a.nav-link {\n    display: block;\n    padding: $toc-item-padding-y 0;\n\n    // Padding w/ negative margin so the top TOC item highlight overlaps w/ the TOC border\n    padding-left: 1rem;\n    margin-left: -1rem;\n\n    @include link-sidebar;\n\n    &.active {\n      @include link-sidebar-current;\n\n      background-color: transparent;\n\n      &:hover {\n        color: var(--pst-color-link-hover);\n      }\n    }\n\n    &:focus-visible {\n      border-radius: $focus-ring-radius;\n    }\n  }\n}\n","div.versionadded,\ndiv.versionchanged,\ndiv.deprecated {\n  vertical-align: middle;\n  margin: 1.5625em auto;\n  padding: 0 0.6rem;\n  overflow: hidden;\n\n  /* break-inside has replaced page-break-inside and is widely usable since 2019 */\n  page-break-inside: avoid;\n  break-inside: avoid;\n  border-left: 0.2rem solid;\n  border-color: var(--pst-color-info);\n  border-radius: $admonition-border-radius;\n  background-color: var(--pst-color-on-background);\n\n  @include box-shadow;\n\n  position: relative;\n\n  > p {\n    margin-bottom: 0.6rem;\n    margin-top: 0.6rem;\n  }\n}\n\ndiv.versionadded {\n  border-color: var(--pst-color-success);\n  background-color: var(--pst-color-success-bg);\n}\n\ndiv.versionchanged {\n  border-color: var(--pst-color-warning);\n  background-color: var(--pst-color-warning-bg);\n}\n\ndiv.deprecated {\n  border-color: var(--pst-color-danger);\n  background-color: var(--pst-color-danger-bg);\n}\n\nspan.versionmodified {\n  font-weight: 600;\n\n  &::before {\n    margin-right: 0.6rem;\n    color: var(--pst-color-info);\n    font: var(--fa-font-solid);\n    content: var(--pst-icon-versionmodified-default);\n  }\n}\n\nspan.versionmodified.added {\n  &::before {\n    color: var(--pst-color-success);\n    content: var(--pst-icon-versionmodified-added);\n  }\n}\n\nspan.versionmodified.changed {\n  &::before {\n    color: var(--pst-color-warning);\n    content: var(--pst-icon-versionmodified-changed);\n  }\n}\n\nspan.versionmodified.deprecated {\n  &::before {\n    color: var(--pst-color-danger);\n    content: var(--pst-icon-versionmodified-deprecated);\n  }\n}\n",".sidebar-indices-items {\n  display: flex;\n  flex-direction: column;\n  border-top: 1px solid var(--pst-color-border);\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    border-top: none;\n  }\n\n  .sidebar-indices-items__title {\n    font-weight: var(--pst-sidebar-header-font-weight);\n    font-size: var(--pst-sidebar-header-font-size);\n    color: var(--pst-color-text-base);\n    margin-bottom: 0.5rem;\n  }\n\n  ul.indices-link {\n    margin-right: -1rem;\n    list-style: none;\n    padding: 0;\n\n    li > a {\n      display: block;\n      padding: 0.25rem 0;\n      color: var(--pst-color-text-muted);\n\n      &:hover {\n        color: var(--pst-color-primary);\n        text-decoration: none;\n        background-color: transparent;\n      }\n    }\n  }\n}\n",".bd-sidebar-primary div#rtd-footer-container {\n  position: sticky;\n  bottom: -1rem;\n  margin: -1rem; // ignore sidebar padding\n\n  .rst-versions.rst-badge {\n    position: unset;\n    font-size: 0.9em;\n    font-family: var(--pst-font-family-base);\n    max-width: unset;\n\n    .rst-current-version {\n      display: flex;\n      align-items: center;\n      gap: 0.2rem;\n      height: 2.5rem;\n      transition: background-color 0.2s ease-out;\n      background-color: var(--pst-color-background);\n      color: var(--pst-color-success);\n      border-top: 1px solid var(--pst-color-border);\n    }\n\n    .fa.fa-book {\n      color: var(--pst-color-text-muted);\n      margin-right: auto;\n\n      &::after {\n        color: var(--pst-color-text-base);\n        content: \"Read The Docs\";\n        font-family: var(--pst-font-family-base);\n        font-weight: var(--pst-admonition-font-weight-heading);\n      }\n    }\n\n    .fa.fa-caret-down {\n      color: var(--pst-color-text-muted);\n    }\n  }\n\n  .rst-versions.rst-badge.shift-up {\n    .rst-current-version {\n      border-bottom: 1px solid var(--pst-color-border);\n    }\n  }\n\n  .rst-other-versions {\n    background-color: var(--pst-color-surface);\n    color: var(--pst-color-text-base);\n\n    dl {\n      dd a {\n        color: var(--pst-color-text-muted);\n      }\n    }\n\n    hr {\n      background-color: var(--pst-color-border);\n    }\n\n    small a {\n      color: var(--pst-color-link);\n    }\n\n    input {\n      padding-left: 0.5rem;\n      border: 1px solid var(--pst-color-border);\n      background-color: var(--pst-color-surface);\n    }\n  }\n}\n","/**\n * Admonitions and blocks of styled content.\n * Admonitions CSS originally inspired by https://squidfunk.github.io/mkdocs-material/getting-started/\n */\n$admonition-border-radius: 0.25rem;\n$admonition-left-border-width: 0.2rem;\n\ndiv.admonition,\n.admonition {\n  margin: 1.5625em auto;\n  padding: 0 0.6rem 0.8rem;\n  overflow: hidden;\n\n  /* break-inside has replaced page-break-inside and is widely usable since 2019 */\n  page-break-inside: avoid;\n  break-inside: avoid;\n  border-left: $admonition-left-border-width solid;\n  border-color: var(--pst-color-info);\n  border-radius: $admonition-border-radius;\n  background-color: var(--pst-color-on-background);\n\n  @include box-shadow;\n\n  // Last item should have no spacing since we'll control that w/ padding\n  *:last-child {\n    margin-bottom: 0;\n  }\n\n  // Items after the title should be indented\n  p.admonition-title ~ * {\n    margin-left: 1.4rem;\n    margin-right: 1.4rem;\n  }\n\n  // Lists need to have left margin so they don't spill into it\n  > ol,\n  > ul {\n    margin-left: 1em;\n  }\n\n  // Defaults for all admonitions\n  > .admonition-title {\n    margin: 0 -0.6rem;\n    padding: 0.4rem 0.6rem 0.4rem 2rem;\n    font-weight: var(--pst-admonition-font-weight-heading);\n    position: relative;\n\n    @include legacy-backdrop-placeholder;\n\n    background-color: var(--pst-color-info-bg);\n\n    // now that we use solid colors we want the title on top\n    z-index: 1;\n\n    &::after {\n      position: absolute;\n      left: 0.5rem;\n      width: 1rem;\n      height: 1rem;\n      color: var(--pst-color-info);\n      font: var(--fa-font-solid);\n      line-height: inherit;\n      content: var(--pst-icon-admonition-default);\n      opacity: 1;\n    }\n\n    // Next element after title needs some extra upper-space\n    + * {\n      margin-top: 0.4em;\n    }\n  }\n\n  &.attention {\n    border-color: var(--pst-color-attention);\n\n    > .admonition-title {\n      background-color: var(--pst-color-attention-bg);\n\n      &::after {\n        color: var(--pst-color-attention);\n        content: var(--pst-icon-admonition-attention);\n      }\n    }\n  }\n\n  &.caution {\n    border-color: var(--pst-color-warning);\n\n    > .admonition-title {\n      background-color: var(--pst-color-warning-bg);\n\n      &::after {\n        color: var(--pst-color-warning);\n        content: var(--pst-icon-admonition-caution);\n      }\n    }\n  }\n\n  &.warning {\n    border-color: var(--pst-color-warning);\n\n    > .admonition-title {\n      background-color: var(--pst-color-warning-bg);\n\n      &::after {\n        color: var(--pst-color-warning);\n        content: var(--pst-icon-admonition-warning);\n      }\n    }\n  }\n\n  &.danger {\n    border-color: var(--pst-color-danger);\n\n    > .admonition-title {\n      background-color: var(--pst-color-danger-bg);\n\n      &::after {\n        color: var(--pst-color-danger);\n        content: var(--pst-icon-admonition-danger);\n      }\n    }\n  }\n\n  &.error {\n    border-color: var(--pst-color-danger);\n\n    > .admonition-title {\n      background-color: var(--pst-color-danger-bg);\n\n      &::after {\n        color: var(--pst-color-danger);\n        content: var(--pst-icon-admonition-error);\n      }\n    }\n  }\n\n  &.hint {\n    border-color: var(--pst-color-success);\n\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &::after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-hint);\n      }\n    }\n  }\n\n  &.tip {\n    border-color: var(--pst-color-success);\n\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &::after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-tip);\n      }\n    }\n  }\n\n  &.important {\n    border-color: var(--pst-color-attention);\n\n    > .admonition-title {\n      background-color: var(--pst-color-attention-bg);\n\n      &::after {\n        color: var(--pst-color-attention);\n        content: var(--pst-icon-admonition-important);\n      }\n    }\n  }\n\n  &.note {\n    border-color: var(--pst-color-info);\n\n    > .admonition-title {\n      background-color: var(--pst-color-info-bg);\n\n      &::after {\n        color: var(--pst-color-info);\n        content: var(--pst-icon-admonition-note);\n      }\n    }\n  }\n\n  &.seealso {\n    border-color: var(--pst-color-success);\n\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &::after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-seealso);\n      }\n    }\n  }\n\n  &.admonition-todo {\n    border-color: var(--pst-color-secondary);\n\n    > .admonition-title {\n      background-color: var(--pst-color-secondary-bg);\n\n      &::after {\n        color: var(--pst-color-secondary);\n        content: var(--pst-icon-admonition-todo);\n      }\n    }\n  }\n\n  /**\n   * Special-case for a `sidebar` class that makes the admonition float to\n   * the right like the {sidebar} directive.\n   */\n  &.sidebar {\n    max-width: 40%;\n    float: right;\n    clear: both;\n    margin-left: 0.5rem;\n    margin-top: 0;\n\n    // Undo the .sidebar directive border\n    border-width: 0 0 0 $admonition-left-border-width;\n\n    // TODO: these semantic-color-names border-color rules might no longer be\n    //       needed when we drop support for Sphinx 4 / docutils 0.17\n    &.attention,\n    &.important {\n      border-color: var(--pst-color-attention);\n    }\n\n    &.caution,\n    &.warning {\n      border-color: var(--pst-color-warning);\n    }\n\n    &.danger,\n    &.error {\n      border-color: var(--pst-color-danger);\n    }\n\n    &.hint,\n    &.tip,\n    &.seealso {\n      border-color: var(--pst-color-success);\n    }\n\n    &.note,\n    &.todo {\n      border-color: var(--pst-color-info);\n    }\n\n    // No inner margin since we have less horizontal space w/ the sidebar\n    p.admonition-title ~ * {\n      margin-left: 0;\n      margin-right: 0;\n    }\n  }\n}\n\n/**************************************************************\n * Similar content blocks that are not technically admonitions.\n */\n\n/**\n * Topics and the {contents} directive\n */\n// Docutils <= 0.17\ndiv.topic,\ndiv.topic.contents,\n// Docutils >= 0.18\nnav.contents,\naside.topic {\n  display: flex;\n  flex-direction: column;\n  background-color: var(--pst-color-surface);\n  border-color: var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n  padding: 1rem 1.25rem;\n\n  @include box-shadow;\n\n  .topic-title {\n    margin: 0 0 0.5rem;\n  }\n\n  // Over-ride text color to ensure enough contrast\n  p {\n    color: var(--pst-color-on-surface) !important;\n  }\n\n  // Over-ride large default padding\n  ul.simple {\n    padding-left: 1rem;\n\n    ul {\n      // So that sub-lists will have a bit less padding\n      padding-left: 2em;\n    }\n  }\n}\n\n/**\n * Sidebar directive\n */\naside.sidebar {\n  border: 1px solid var(--pst-color-border);\n  background-color: var(--pst-color-surface);\n  border-radius: $admonition-border-radius;\n\n  // to match the admonition-styled sidebars:\n  margin-left: 0.5rem;\n  padding: 0;\n\n  > *:last-child {\n    padding-bottom: 1rem;\n  }\n\n  p.sidebar-title {\n    position: relative;\n    margin-bottom: 0;\n    padding-top: 0.5rem;\n    padding-bottom: 0.5rem;\n    border-bottom: 1px solid var(--pst-color-border);\n    font-family: var(--pst-font-family-heading);\n    font-weight: var(--pst-admonition-font-weight-heading);\n  }\n\n  // Add margin to the first non-`.sidebar-title` item\n  > *:not(.sidebar-title):first-child,\n  > p.sidebar-title + * {\n    margin-top: 1rem;\n  }\n\n  > * {\n    padding-left: 1rem;\n    padding-right: 1rem;\n  }\n}\n\n/**\n * Rubrics look kind of like section headers\n */\np.rubric {\n  display: flex;\n  flex-direction: column;\n}\n\n/**\n * Seealso is kind of like a vertically-collapsed admonition\n */\n.seealso dd {\n  margin-top: 0;\n  margin-bottom: 0;\n}\n","/**\n * Miscellaneous color functions and mixins\n**/\n\n@use \"sass:list\";\n@use \"sass:map\";\n@use \"sass:meta\";\n@use \"sass:math\";\n@use \"sass:string\";\n\n// We must add ::before pseudo-element to some theme components (such as admonitions)\n// because users were instructed to customize the background color this way.\n@mixin legacy-backdrop-placeholder {\n  &::before {\n    content: \"\";\n    width: 100%;\n    height: 100%;\n    position: absolute;\n    left: 0;\n    top: 0;\n    z-index: -1;\n\n    // So that hovering over the text within background is still possible.\n    // Otherwise the background overlays the text and you cannot click or select easily.\n    // ref: https://developer.mozilla.org/en-US/docs/Web/CSS/pointer-events\n    pointer-events: none;\n  }\n}\n\n/**\n* Function to get items from nested maps\n*/\n// @param {Map} $map - Map\n// @param {Arglist} $keys - Keys to fetc\n// @return {*}\n@function map-deep-get($map, $keys...) {\n  @each $key in $keys {\n    $map: map.get($map, $key);\n  }\n\n  @return $map;\n}\n\n/**\n  * Function to check if the color needs converting to a \"color\" type\n  * if it is a string we cannot use other color manipulation functions\n  * It is used to create the sphinx-design colours as these are often interpolated\n  */\n// @param {String/Color} $color - Color definition from map\n// @return {Color} - Color type (in hex)\n@function check-color($color) {\n  @if meta.type-of($color) == string {\n    $color: from-hex($color);\n  }\n\n  @return $color;\n}\n\n/**\n  * Function to convert the string representation of a color to a color type (hex)\n  */\n// @param {String} $string - String representation of a color\n@function from-hex($string) {\n  $string-lower: string.to-lower-case($string);\n  $r: \"\";\n  $g: \"\";\n  $b: \"\";\n  $hex: \"0\" \"1\" \"2\" \"3\" \"4\" \"5\" \"6\" \"7\" \"8\" \"9\" \"a\" \"b\" \"c\" \"d\" \"e\" \"f\";\n  $length: string.length($string);\n  $max: if($length == 4, 1, 2);\n\n  // Check for length accuracy\n  @if $length != 4 and $length != 7 {\n    @return $string;\n  }\n\n  // Loop from the second character (omitting #)\n  @for $i from 2 through $length {\n    $c: string.slice($string-lower, $i, $i);\n\n    // If wrong character, return\n    @if not list.index($hex, $c) {\n      @return $string;\n    }\n\n    @if string.length($r) < $max {\n      $r: $r + $c;\n    } @else if string.length($g) < $max {\n      $g: $g + $c;\n    } @else if string.length($b) < $max {\n      $b: $b + $c;\n    }\n  }\n\n  @if $length == 4 {\n    $r: $r + $r;\n    $g: $g + $g;\n    $b: $b + $b;\n  }\n\n  @return rgb(hex-to-dec($r), hex-to-dec($g), hex-to-dec($b));\n}\n\n@function hex-to-dec($string) {\n  $hex: \"0\" \"1\" \"2\" \"3\" \"4\" \"5\" \"6\" \"7\" \"8\" \"9\" \"a\" \"b\" \"c\" \"d\" \"e\" \"f\";\n  $string: string.to-lower-case($string);\n  $length: string.length($string);\n  $dec: 0;\n\n  @for $i from 1 through $length {\n    $factor: 1 + (15 * ($length - $i));\n    $index: list.index($hex, string.slice($string, $i, $i));\n    $dec: $dec + $factor * ($index - 1);\n  }\n\n  @return $dec;\n}\n","// Style API docs from sphinx' autodoc / autosummary\n\n/*******************************************************************************\n* Styling for field lists\n*/\n\n/* grey highlighting of 'parameter' and 'returns' field */\ntable.field-list {\n  border-collapse: separate;\n  border-spacing: 10px;\n  margin-left: 1px;\n\n  th.field-name {\n    padding: 1px 8px 1px 5px;\n    white-space: nowrap;\n    background-color: var(--pst-color-surface);\n  }\n\n  /* italic font for parameter types */\n  td.field-body {\n    p {\n      font-style: italic;\n\n      > strong {\n        font-style: normal;\n      }\n    }\n\n    /* reduced space around parameter description */\n    blockquote {\n      border-left: none;\n      margin: 0 0 0.3em;\n      padding-left: 30px;\n    }\n  }\n}\n\n/*******************************************************************************\n* Styling for autosummary tables\n*/\n\n.table.autosummary {\n  // The first column (with the signature) should not wrap\n  td:first-child {\n    white-space: nowrap;\n  }\n}\n\n/* overriding basic.css to use our own monospace font */\n.sig {\n  font-family: var(--pst-font-family-monospace);\n}\n\n/* C++ specific styling - overriding the basic.css to avoid custom colors */\n\n.sig-inline.c-texpr,\n.sig-inline.cpp-texpr {\n  font-family: unset;\n}\n\n.sig.c .k,\n.sig.c .kt,\n.sig.cpp .k,\n.sig.cpp .kt {\n  color: var(--pst-color-text-base);\n}\n\n.sig.c .m,\n.sig.cpp .m {\n  color: var(--pst-color-text-base);\n}\n\n.sig.c .s,\n.sig.c .sc,\n.sig.cpp .s,\n.sig.cpp .sc {\n  color: var(--pst-color-text-base);\n}\n\n// addition\n\n// .sig.c .sig-name .n,\n// .sig.cpp .sig-name .n {\n//   color: var(--pst-color-inline-code);\n// }\n\n.sig-name {\n  color: var(--pst-color-inline-code);\n}\n\n.sig-param .o,\n.sig-param .default_value {\n  color: var(--pst-color-text-muted);\n  font-weight: normal;\n}\n\n// change target color for dark theme\ndt:target,\nspan.highlighted {\n  background-color: var(--pst-color-target);\n}\n\n.viewcode-back {\n  font-family: var(--pst-font-family-base);\n}\n\n.viewcode-block:target {\n  border-top: 1px solid var(--pst-color-border);\n  border-bottom: 1px solid var(--pst-color-border);\n  position: relative;\n  background-color: var(--pst-color-target);\n}\n\ndl > dt > a:has(.viewcode-link) {\n  // Sphinx applies a `float:right` rule to the .viewcode-line span, which\n  // exposes a browser glitch in the focus ring. It seems the browser creates\n  // two separate boxes, an empty box where the anchor element gets laid out and\n  // then another box around the anchor's contents that have been floated right.\n  // Firefox draws the focus ring around the empty anchor element box. Chrome\n  // draws two focus rings: one around the empty anchor and one around the\n  // floated-right element. To fix the glitch, we apply the float rule on the\n  // parent rather than the child.\n  float: right;\n\n  .viewcode-link {\n    float: none;\n  }\n}\n\n/*******************************************************************************\n* Styling for autosummary titles like \"parameters\" and \"returns\"\n*/\n\n// the API selector\n// from https://github.com/pradyunsg/furo/blob/main/src/furo/assets/styles/content/_api.sass#L6)\ndl[class]:not(.option-list, .field-list, .footnote, .glossary, .simple) {\n  // increase margin bottom after the dl elements\n  margin-bottom: 3rem;\n\n  dd {\n    margin-left: 2rem;\n\n    // Fix until this will be solved to Sphinx https://github.com/sphinx-doc/sphinx/issues/10815\n    & > dl.simple > dt {\n      display: flex;\n    }\n  }\n\n  dl.field-list {\n    display: grid;\n    grid-template-columns: unset;\n  }\n\n  dt.field-odd,\n  dt.field-even {\n    margin-top: 0.2rem;\n    margin-bottom: 0.1rem;\n    background-color: var(--pst-color-surface);\n  }\n}\n","/**\n * Code block styling\n * Note that we inherit a lot of styling from Bootstrap so not many rules here.\n */\n\n// General code block behavior\n// Unset bootstrap behavior\ndiv[class*=\"highlight-\"],\ndiv.highlight,\ndiv.literal-block-wrapper {\n  display: flex;\n  flex-direction: column;\n  width: unset;\n  border-radius: $admonition-border-radius;\n  break-inside: avoid;\n}\n\n// Code blocks with captions\n// There's a wrapper when the code block has a title\ndiv.literal-block-wrapper {\n  border: 1px solid var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n\n  // This is where the title goes\n  div.code-block-caption {\n    margin: 0;\n    border-bottom: 1px solid var(--pst-color-border);\n    padding: 0.5rem;\n    font-size: 1rem;\n    font-weight: var(--pst-font-weight-caption);\n\n    a.headerlink {\n      font-size: inherit;\n    }\n  }\n\n  // Remove the upper border radius since we want it to connect with the title\n  // Remove the box shadow so the wrapper gets the shadow instead\n  div[class*=\"highlight-\"] {\n    margin: 0;\n    border-radius: 0;\n\n    pre {\n      border: none;\n      box-shadow: none;\n    }\n  }\n}\n\n/**\n * In-line code\n */\ncode.literal {\n  padding: 0.1rem 0.25rem;\n  background-color: var(--pst-color-surface);\n  border: 1px solid var(--pst-color-border);\n  border-radius: 0.25rem;\n}\n\na > code {\n  color: var(--pst-color-inline-code-links);\n\n  &:hover {\n    color: var(--pst-color-link-hover);\n  }\n}\n\n// Minimum opacity needed for linenos to be WCAG AA conformant\nspan.linenos {\n  opacity: 0.8 !important;\n}\n","figure > a,\nfigure > a > img,\nfigure > img,\nfigure > video {\n  display: block;\n  margin-left: auto;\n  margin-right: auto;\n}\n\nfigure {\n  a.headerlink {\n    // So that header link doesn't push caption to be off-center.\n    position: absolute;\n    font-size: inherit;\n  }\n\n  // Default headerlink hover doesn't trigger on figures\n  &:hover a.headerlink {\n    visibility: visible;\n  }\n\n  figcaption {\n    font-family: var(--pst-font-family-heading);\n    font-weight: var(--pst-font-weight-caption);\n    color: var(--pst-color-text-muted);\n    margin-left: auto;\n    margin-right: auto;\n    margin-top: 0.3rem;\n    text-align: center;\n\n    & > p:last-child {\n      // Don't add extra margin to already existing figure bottom margin\n      margin-bottom: 0;\n    }\n\n    p {\n      text-align: start;\n      display: inline-block;\n    }\n\n    table.table {\n      width: fit-content;\n      margin-left: auto;\n      margin-right: auto;\n    }\n  }\n}\n","// For consistency, add bracket around footnotes/citations which are\n// cited more than once. E.g. [Newton](1,2) instead of Newton(1,2)\ndt.label > span.brackets:not(:only-child)::before {\n  content: \"[\";\n}\n\ndt.label > span.brackets:not(:only-child)::after {\n  content: \"]\";\n}\n\n// Make footnote as a superscript\na.footnote-reference {\n  vertical-align: super;\n  font-size: small;\n}\n\n// Docutils 0.18 uses an `aside.footnote` container with different internal structure\naside.footnote {\n  margin-bottom: 0.5rem;\n\n  &:last-child {\n    margin-bottom: 1rem;\n  }\n\n  span.label,\n  span.backrefs {\n    font-weight: bold;\n  }\n\n  &:target {\n    background-color: var(--pst-color-target);\n  }\n}\n","/**\n * Hacky fixes that don't fit cleanly into other sections\n */\n\n// Ensure user highlighting/selecting behaves properly\n// From https://stackoverflow.com/a/34372191\ntable.highlighttable td.linenos,\nspan.linenos,\ndiv.doctest > div.highlight span.gp {\n  /* gp: Generic.Prompt */\n  user-select: none;\n}\n","// Override bootstrap by restoring the basic theme default.\ndd {\n  margin-top: 3px;\n  margin-bottom: 10px;\n  margin-left: 30px;\n}\n\nol,\nul {\n  padding-inline-start: 2rem;\n\n  li > p:first-child {\n    margin-bottom: 0.25rem;\n    margin-top: 0.25rem;\n  }\n}\n","// GitHub blockquote style\nblockquote {\n  padding: 1em;\n  color: var(--pst-color-text-muted);\n  border-left: 0.25em solid var(--pst-color-blockquote-notch);\n  border-radius: $admonition-border-radius;\n  position: relative;\n\n  p {\n    color: var(--pst-color-text-base);\n  }\n\n  // remove padding from included line-block to avoid duplication\n  .line-block {\n    margin: 0;\n  }\n\n  // remove margin bottom for the last p\n  p:last-child {\n    margin-bottom: 0;\n  }\n\n  @include legacy-backdrop-placeholder;\n\n  background-color: var(--pst-color-surface);\n\n  // Ensure there is enough contrast against the background\n  a {\n    color: var(--pst-color-inline-code-links);\n  }\n\n  // hack to make the text in the blockquote selectable\n  &::before {\n    z-index: -1;\n  }\n}\n","/**\n * Span-level styling within content\n */\n\nspan.guilabel {\n  border: 1px solid var(--pst-color-info);\n  font-size: 80%;\n  font-weight: 700;\n  border-radius: 4px;\n  padding: 2.4px 6px;\n  margin: auto 2px;\n  position: relative;\n\n  @include legacy-backdrop-placeholder;\n\n  background-color: var(--pst-color-info-bg);\n}\n\na.reference.download::before {\n  content: var(--pst-icon-download);\n  font: var(--fa-font-solid);\n  font-size: 0.8em;\n  padding: 0 0.25em;\n  color: var(--pst-color-text-muted);\n}\n","/**\n * Tables\n */\n\ntable {\n  // default to table-center\n  margin-left: auto;\n  margin-right: auto;\n\n  &.table-right {\n    margin-right: 0;\n  }\n\n  &.table-left {\n    margin-left: 0;\n  }\n}\n\n// customize table caption from bootstrap\n// to display them on top and centered\ntable caption {\n  text-align: center;\n  caption-side: top;\n  color: var(--pst-color-text-muted);\n}\n\n// MyST Markdown tables use these classes to control alignment\nth,\ntd {\n  &.text-left {\n    text-align: left;\n  }\n\n  &.text-right {\n    text-align: right;\n  }\n\n  &.text-center {\n    text-align: center;\n  }\n}\n\n// override bootstrap table colors\n.table {\n  @include table-colors;\n\n  --bs-table-bg: transparent; // background\n  --bs-table-color: var(\n    --pst-color-text-base\n  ); // ensure text and bullets are visible\n}\n\n.pst-scrollable-table-container {\n  // Put a horizontal scrollbar just below tables that are too wide to fit\n  // within the main column\n  overflow-x: auto;\n}\n","/**\n * Style the toctree component in pages (avoid modifying the navbars)\n */\n.toctree-wrapper {\n  p.caption {\n    font-size: 1.5em;\n    margin-bottom: 0;\n  }\n\n  & > ul {\n    padding-left: 0;\n  }\n\n  li[class^=\"toctree-l\"] {\n    list-style: none;\n    margin-bottom: 0.2em;\n\n    & > a {\n      list-style: none;\n      font-size: 1.1em;\n    }\n\n    & > ul {\n      list-style: none;\n      padding-inline-start: 1.5em;\n    }\n  }\n\n  // slightly bigger font for l1\n  .toctree-l1 > a {\n    font-size: 1.3em;\n  }\n}\n\ndiv.topic.contents,  // Docutils <= 0.17\nnav.contents  // Docutils >= 0.18\n{\n  // Style similarly to toctree\n  ul.simple {\n    list-style: none;\n    padding-left: 0;\n  }\n}\n","/**\n * Mathematics via MathJax.\n *\n * This is designed for MathJax v3\n * ref: https://www.sphinx-doc.org/en/master/usage/extensions/math.html#module-sphinx.ext.mathjax\n */\n\n// Applies to all math elements\nspan.math,\ndiv.math {\n  align-items: center;\n  display: flex;\n  max-width: 100%;\n\n  // This will be over-ridden for the y-direction and divs\n  overflow: hidden;\n}\n\n// Inline-only\nspan.math {\n  display: inline-flex;\n}\n\n// Block-level only\ndiv.math {\n  gap: 0.5em;\n\n  // So that the eqno shows up after the equation\n  flex-direction: row-reverse;\n\n  // The equation number / link\n  span.eqno a.headerlink {\n    position: relative;\n    font-size: 1em;\n  }\n\n  // The math container\n  mjx-container {\n    flex-grow: 1;\n    padding-bottom: 0.2rem;\n    overflow: auto;\n\n    // Set height to 0 so that it does not cause scrollbars to appear\n    // ref: https://github.com/mathjax/MathJax/issues/2521\n    mjx-assistive-mml {\n      height: 0;\n    }\n  }\n}\n","/**\n * ABlog\n * ref: https://ablog.readthedocs.io/\n */\n\n/**\n * Sidebar template components\n */\n.ablog-sidebar-item {\n  h2,\n  h3 {\n    font-size: var(--pst-sidebar-header-font-size);\n\n    // Remove unnecessary vertical whitespace\n    margin-top: 0.5rem;\n\n    // The headers are all links, but this makes them hard to parse\n    // So we change the colors to make them look like headers\n    a {\n      color: var(--pst-color-text-base);\n    }\n  }\n\n  ul {\n    // No bullet points for the primary sidebar items\n    list-style: none;\n    padding-left: 0;\n\n    // Otherwise a scrollbar randomly shows up\n    overflow-y: hidden;\n\n    // List of recent post items\n    display: flex;\n    flex-direction: column;\n    gap: 0.5em;\n    margin-bottom: 0;\n\n    // The ablog cloud should move horizontally\n    &.ablog-cloud {\n      flex-flow: row wrap;\n      gap: 0.5rem;\n\n      // Vertical-align tag clouds\n      li {\n        // Center the tag cloud items\n        display: flex;\n        align-items: center;\n      }\n    }\n  }\n}\n\n/**\n * Previous / next buttons at the bottom\n */\n.ablog__prev-next {\n  font-size: 1.2em;\n  display: flex;\n  padding: 1rem 0;\n\n  // The bottom previous / next arrows\n  > span {\n    // To ensure that the whole thing fits on one line even if there are long titles\n    display: flex;\n    max-width: 45%;\n\n    // Links within each span have the collection of icon + text\n    a {\n      display: flex;\n      align-items: center;\n      margin-left: auto;\n      gap: 1rem;\n      line-height: 1.5rem;\n\n      i::before {\n        color: var(--pst-color-text-base);\n      }\n    }\n  }\n\n  // The first span is for the previous page and aligns to the left\n  span.ablog__prev {\n    i.fa-arrow-circle-left::before {\n      content: var(--pst-icon-angle-left);\n    }\n  }\n\n  // The second span is just an empty space so we remove it because we're\n  // positioning with flex\n  span.ablog__spacer {\n    display: none;\n  }\n\n  // The third span is aligned to the right\n  span.ablog__next {\n    margin-left: auto;\n    text-align: right;\n\n    i.fa-arrow-circle-right::before {\n      content: var(--pst-icon-angle-right);\n    }\n  }\n}\n\n/**\n * {postlist} directive and posts page\n */\n.ablog__collection,\n.postlist {\n  padding-left: 0;\n\n  .ablog-post {\n    list-style: none;\n\n    // Post metadata tags (author, links ,etc) should be a bit smaller\n    .ablog-archive {\n      display: flex;\n      flex-flow: row wrap;\n      gap: 1rem;\n      list-style: none;\n      font-size: 0.75rem;\n      padding-left: 0;\n    }\n\n    // Title line should be a bit bigger and bold to stand out\n    .ablog-post-title {\n      margin-top: 0;\n      font-size: 1.25rem;\n\n      a {\n        font-weight: bold;\n      }\n    }\n\n    // Read more button should be a bit bigger\n    .ablog-post-expand {\n      margin-bottom: 0.5rem;\n    }\n  }\n}\n","/**\n * Special cases for Bootstrap functionality\n */\n\n// Bootstrap adds margin to their general container class. However, sphinx/docutils\n// can also generate output with the container class, but in those cases we should\n// not add the margin from bootstrap. Same for max-width.\n.docutils.container {\n  padding-left: unset;\n  padding-right: unset;\n  margin-left: unset;\n  margin-right: unset;\n  max-width: unset;\n  width: unset;\n}\n\n.btn {\n  --bs-btn-focus-box-shadow: #{$btn-focus-box-shadow};\n}\n","/**\n * Sphinx Copybutton\n * ref: https://sphinx-copybutton.readthedocs.io/\n */\n\ndiv.highlight button.copybtn {\n  // Nicer spacing\n  display: flex;\n  align-items: center;\n  justify-content: center;\n\n  // Don't over-ride the success color\n  &:not(.success) {\n    color: var(--pst-color-muted);\n  }\n\n  border: none;\n  background-color: var(--pst-color-surface);\n\n  &:hover {\n    &:not(.success) {\n      color: var(--pst-color-text);\n      background-color: var(--pst-color-shadow);\n    }\n  }\n\n  // Tooltip styling\n  &.o-tooltip--left::after {\n    color: var(--pst-color-text);\n    background-color: var(--pst-color-surface);\n  }\n\n  &:focus {\n    // For keyboard users, make the copy button visible when focussed.\n    opacity: 1;\n  }\n\n  &:focus-visible {\n    outline: $focus-ring-outline;\n  }\n}\n\ndiv.highlight:has(button.copybtn) {\n  // Make sure the code block has enough height for the copy button.\n  // Sphinx-copybutton sets 0.3em top offset plus 1.7em height:\n  // https://github.com/executablebooks/sphinx-copybutton/blob/master/sphinx_copybutton/_static/copybutton.css\n  min-height: 2em;\n}\n","// adapt ethical ad to the theme\n#ethical-ad-placement {\n  .ethical-sidebar a,\n  .ethical-sidebar a:visited,\n  .ethical-sidebar a:hover,\n  .ethical-sidebar a:active,\n  .ethical-footer a,\n  .ethical-footer a:visited,\n  .ethical-footer a:hover,\n  .ethical-footer a:active {\n    color: var(--pst-color-text-base);\n  }\n\n  .ethical-sidebar,\n  .ethical-footer {\n    background-color: var(--pst-color-background);\n    border: 1px solid var(--pst-color-border);\n    border-radius: 5px;\n    color: var(--pst-color-text-base);\n    font-size: 14px;\n    line-height: 20px;\n  }\n}\n","/**\n * Styles for various Sphinx execution libraries.\n * For now, where these define output sections, we simply revert their background\n * to be a \"light theme\" background. This ensures that inputs/outputs behave similarly,\n * because the CSS is often controlled by each package.\n * In the future, we might add dark theme support for specific packages.\n */\n\n/******************************************************************************\n * Jupyter Sphinx\n */\n\n.bd-content div.jupyter_container {\n  // We don't want borders around the whole container, just around code cells\n  border: none;\n  background-color: unset;\n  box-shadow: none;\n\n  // Code cells should have the same style as our other code objects\n  div.output,\n  div.highlight {\n    border-radius: 0.25rem;\n  }\n\n  div.highlight {\n    background-color: var(--pst-color-surface);\n  }\n\n  // Ensure the style is the same as our code cells. Jupyter Sphinx makes it tiny.\n  .cell_input,\n  .cell_output {\n    border-radius: 0.25rem;\n\n    pre {\n      padding: 1rem;\n    }\n  }\n}\n","/* Styles for graphviz generated output from Sphinx */\n\n/* Style the inheritance diagram such that it has a dark mode */\nhtml[data-theme=\"dark\"] div.graphviz > object.inheritance {\n  filter: brightness(0.8) invert(0.82) contrast(1.2);\n  color-scheme: normal;\n}\n","/**\n * Special-cases for packages in the PyData ecosystem\n */\n\n// xarray output display in bootstrap\n.xr-wrap[hidden] {\n  display: block !important;\n}\n\n// ipywidgets\n.jp-OutputArea-output.lm-Widget {\n  // override overflow:hidden rule from Lumino (.lm-Widget) to allow scrolling\n  overflow: auto;\n}\n","/*******************************************************************************\n* master color map. Only the colors that actually differ between light and dark\n* themes are specified separately.\n*\n* To see the full list of colors see https://www.figma.com/file/rUrrHGhUBBIAAjQ82x6pz9/PyData-Design-system---proposal-for-implementation-(2)?node-id=1234%3A765&t=ifcFT1JtnrSshGfi-1\n*/\n\n@use \"sass:map\";\n@use \"sass:meta\";\n@use \"sass:string\";\n\n/**\n* Function to get items from nested maps\n*/\n// @param {Map} $map - Map\n// @param {Arglist} $keys - Keys to fetch\n// @return {*}\n@function map-deep-get($map, $keys...) {\n  @each $key in $keys {\n    $map: map.get($map, $key);\n  }\n\n  @return $map;\n}\n\n/* Assign base colors for the PyData theme */\n$color-palette: (\n  // Primary color\n  \"teal\":\n    (\n      \"50\": #f4fbfc,\n      \"100\": #e9f6f8,\n      \"200\": #d0ecf1,\n      \"300\": #abdde6,\n      \"400\": #3fb1c5,\n      \"500\": #0a7d91,\n      \"600\": #085d6c,\n      \"700\": #064752,\n      \"800\": #042c33,\n      \"900\": #021b1f,\n    ),\n  // Secondary color\n  \"violet\":\n    (\n      \"50\": #f4eefb,\n      \"100\": #e0c7ff,\n      \"200\": #d5b4fd,\n      \"300\": #b780ff,\n      \"400\": #9c5ffd,\n      \"500\": #8045e5,\n      \"600\": #6432bd,\n      \"700\": #4b258f,\n      \"800\": #341a61,\n      \"900\": #1e0e39,\n    ),\n  // Neutrals\n  \"gray\":\n    (\n      \"50\": #f9f9fa,\n      \"100\": #f3f4f5,\n      \"200\": #e5e7ea,\n      \"300\": #d1d5da,\n      \"400\": #9ca4af,\n      \"500\": #677384,\n      \"600\": #48566b,\n      \"700\": #29313d,\n      \"800\": #222832,\n      \"900\": #14181e,\n    ),\n  // Accent color\n  \"pink\":\n    (\n      \"50\": #fcf8fd,\n      \"100\": #fcf0fa,\n      \"200\": #f8dff5,\n      \"300\": #f3c7ee,\n      \"400\": #e47fd7,\n      \"500\": #c132af,\n      \"600\": #912583,\n      \"700\": #6e1c64,\n      \"800\": #46123f,\n      \"900\": #2b0b27,\n    ),\n  \"foundation\": (\n    \"white\": #ffffff,\n    // gray-900\n    \"black\": #14181e,\n  )\n);\n\n:root {\n  // Add theme colours to the html root element\n  @each $group-color, $color in $color-palette {\n    @each $color-name, $definition in $color {\n      --pst-#{$group-color}-#{$color-name}: #{$definition};\n    }\n  }\n}\n\n// Static SCSS variables used thoroughout the theme\n// Minimum contrast ratio used for the theme.\n// Acceptable values for WCAG 2.0 are 3, 4.5 and 7.\n// See https://www.w3.org/TR/WCAG20/#visual-audio-contrast-contrast\n// 4.5 - is for text that is 14pt or less\n$min-contrast-ratio-4: 4.5;\n\n// 3 is for text that is 18pt or bold, or for non-text elements\n$min-contrast-ratio-3: 3;\n\n// Customize the light and dark text colors for use in our color contrast function.\n$foundation-black: #14181e;\n$foundation-white: #fff;\n\n// This is a custom - calculated  color between gray 100 and 200 - to reduce\n// the contrast ratio (avoid a jarring effect)\n$base-light-text: #ced6dd;\n\n// used in sphinx_design - gray 100\n$foundation-light-gray: #f3f4f5;\n\n// used in sphinx_design - gray 700\n$foundation-muted-gray: #29313d;\n\n// used in sphinx_design - gray 800\n$foundation-dark-gray: #222832;\n$pst-semantic-colors: (\n  \"primary\": (\n    \"light\": #{map-deep-get($color-palette, \"teal\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"teal\", \"200\")},\n    \"dark\": #{map-deep-get($color-palette, \"teal\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"teal\", \"800\")},\n  ),\n  \"secondary\": (\n    \"light\": #{map-deep-get($color-palette, \"violet\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"violet\", \"100\")},\n    \"dark\": #{map-deep-get($color-palette, \"violet\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"violet\", \"800\")},\n  ),\n  \"accent\": (\n    \"light\": #{map-deep-get($color-palette, \"pink\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"pink\", \"200\")},\n    \"dark\": #{map-deep-get($color-palette, \"pink\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"pink\", \"800\")},\n  ),\n  \"info\": (\n    \"light\": #276be9,\n    \"bg-light\": #dce7fc,\n    \"dark\": #79a3f2,\n    \"bg-dark\": #06245d,\n  ),\n  \"warning\": (\n    \"light\": #f66a0a,\n    \"bg-light\": #f8e3d0,\n    \"dark\": #ff9245,\n    \"bg-dark\": #652a02,\n  ),\n  \"success\": (\n    \"light\": #00843f,\n    \"bg-light\": #d6ece1,\n    \"dark\": #5fb488,\n    \"bg-dark\": #002f17,\n  ),\n  // This is based on the warning color\n  \"attention\":\n    (\n      \"light\": var(--pst-color-warning),\n      \"bg-light\": var(--pst-color-warning-bg),\n      \"dark\": var(--pst-color-warning),\n      \"bg-dark\": var(--pst-color-warning-bg),\n    ),\n  \"danger\": (\n    \"light\": #d72d47,\n    \"bg-light\": #f9e1e4,\n    \"dark\": #e78894,\n    \"bg-dark\": #4e111b,\n  ),\n  \"text-base\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n    \"dark\": $base-light-text,\n  ),\n  \"text-muted\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"600\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"400\")},\n  ),\n  \"heading-color\": (\n    \"light\": #{$foundation-white},\n    \"dark\": #{$foundation-black},\n  ),\n  \"shadow\": (\n    \"light\": rgba(0, 0, 0, 0.1),\n    \"dark\": rgba(0, 0, 0, 0.2),\n  ),\n  \"border\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"300\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"600\")},\n  ),\n  \"border-muted\": (\n    \"light\": rgba(23, 23, 26, 0.2),\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"700\")},\n  ),\n  \"blockquote-notch\": (\n    // These colors have a contrast ratio > 3.0 against both the background and\n    // surface colors that the notch is sandwiched between\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"500\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"400\")},\n  ),\n  \"inline-code\": (\n    \"light\": #{map-deep-get($color-palette, \"pink\", \"600\")},\n    \"dark\": #{map-deep-get($color-palette, \"pink\", \"300\")},\n  ),\n  \"inline-code-links\": (\n    // need to make sure there is enough contrast against the code bg\n    \"light\": #{map-deep-get($color-palette, \"teal\", \"600\")},\n    // keep primary color for dark mode\n    \"dark\": #{map-deep-get($color-palette, \"teal\", \"400\")},\n  ),\n  \"target\": (\n    \"light\": #f3cf95,\n    \"dark\": #675c04,\n  ),\n  \"table\": (\n    \"light\": #{map-deep-get($color-palette, \"foundation\", \"black\")},\n    \"dark\": #{map-deep-get($color-palette, \"foundation\", \"white\")},\n  ),\n  \"table-row-hover\": (\n    \"bg-light\": #{map-deep-get($color-palette, \"violet\", \"300\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"violet\", \"600\")},\n  ),\n  \"table-inner-border\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"200\")},\n    \"dark\": #364150,\n  ),\n  // DEPTH COLORS - you can see the elevation colours and shades\n  // in the Figma file https://www.figma.com/file/rUrrHGhUBBIAAjQ82x6pz9/PyData-Design-system---proposal-for-implementation-(2)?node-id=1492%3A922&t=sQeQZehkOzposYEg-1\n  // background: color of the canvas / the furthest back layer\n  \"background\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"foundation\", \"white\")},\n      \"dark\": #{map-deep-get($color-palette, \"foundation\", \"black\")},\n    ),\n  // on-background: provides slight contrast against background\n  // (by use of shadows in light theme)\n  \"on-background\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"foundation\", \"white\")},\n      \"dark\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n    ),\n  \"surface\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"100\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"700\")},\n  ),\n  // on_surface: object on top of surface object (without shadows)\n  \"on-surface\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n      \"dark\": $foundation-light-gray,\n    ),\n);\n\n/*******************************************************************************\n* write the color rules for each theme (light/dark)\n*/\n\n/* NOTE:\n * Mixins enable us to reuse the same definitions for the different modes\n * https://sass-lang.com/documentation/at-rules/mixin\n * #{something} inserts a variable into a CSS selector or property name\n * https://sass-lang.com/documentation/interpolation\n */\n@mixin theme-colors($mode) {\n  // check if this color is defined differently for light/dark\n  @each $col-name, $definition in $pst-semantic-colors {\n    @if meta.type-of($definition) == map {\n      @each $key, $val in $definition {\n        @if string.index($key, $mode) {\n          // since now we define the bg colours in the semantic colours and not\n          // by changing opacity, we need to check if the key contains bg and the\n          // correct mode (light/dark)\n          @if string.index($key, \"bg\") {\n            --pst-color-#{$col-name}-bg: #{$val};\n          } @else {\n            --pst-color-#{$col-name}: #{$val};\n          }\n        }\n      }\n    } @else {\n      --pst-color-#{$col-name}: #{$definition};\n    }\n  }\n\n  // assign the \"duplicate\" colors (ones that just reference other variables)\n  & {\n    --pst-color-link: var(--pst-color-primary);\n    --pst-color-link-hover: var(--pst-color-secondary);\n    --pst-color-table-outer-border: var(--pst-color-surface);\n    --pst-color-table-heading-bg: var(--pst-color-surface);\n    --pst-color-table-row-zebra-high-bg: var(--pst-color-on-background);\n    --pst-color-table-row-zebra-low-bg: var(--pst-color-surface);\n  }\n\n  // adapt to light/dark-specific content\n  @if $mode == \"light\" {\n    .only-dark,\n    .only-dark ~ figcaption {\n      display: none !important;\n    }\n  } @else {\n    .only-light,\n    .only-light ~ figcaption {\n      display: none !important;\n    }\n\n    /* Adjust images in dark mode (unless they have class .only-dark or\n     * .dark-light, in which case assume they're already optimized for dark\n     * mode).\n     */\n    img:not(.only-dark, .dark-light) {\n      filter: brightness(0.8) contrast(1.2);\n    }\n\n    /* Give images a light background in dark mode in case they have\n    *  transparency and black text (unless they have class .only-dark or .dark-light, in\n    *  which case assume they're already optimized for dark mode).\n    */\n    .bd-content img:not(.only-dark, .dark-light) {\n      background-color: rgb(255 255 255);\n      border-radius: 0.25rem;\n    }\n\n    // MathJax SVG outputs should be filled to same color as text.\n    .MathJax_SVG * {\n      fill: var(--pst-color-text-base);\n    }\n  }\n}\n\n/* Defaults to light mode if data-theme is not set */\nhtml:not([data-theme]) {\n  @include theme-colors(\"light\");\n}\n\n/* NOTE: @each {...} is like a for-loop\n * https://sass-lang.com/documentation/at-rules/control/each\n */\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    @include theme-colors($mode);\n\n    color-scheme: $mode;\n  }\n}\n\n// assign classes too, for runtime use of theme colors\n@each $col-name, $definition in $pst-semantic-colors {\n  .pst-color-#{$col-name} {\n    color: var(--pst-color-#{$col-name});\n  }\n}\n","/*******************************************************************************\n * Special-cases for the sphinx-design library, mainly to make it compatible\n * with the dark/light themes of pydata-sphinx-theme.\n *\n * NOTE: sphinx-design uses !important quite liberally, so here we must do the\n * same for our overrides to have any effect.\n */\n@use \"../variables/color\" as pst-color;\n@use \"sass:color\";\n@use \"sass:map\";\n@use \"sass:meta\";\n@use \"sass:string\";\n\n/*******************************************************************************\n  * Color and variables\n  *\n  * This is a list of the semantic color names from sphinx-design (we only\n  * need to override variables that sphinx-design has actually defined).\n  * https://github.com/executablebooks/sphinx-design/blob/9226a12a/style/_colors.scss#L31-L43\n  */\n$sd-semantic-color-names: (\n  \"primary\",\n  \"secondary\",\n  \"success\",\n  \"info\",\n  \"warning\",\n  \"danger\",\n  \"light\",\n  \"muted\",\n  \"dark\",\n  \"black\",\n  \"white\"\n);\n\n/**\n  * Here we create some extra --pst-color-* variables and use\n  * them to override the value of the corresponding sphinx-design variables.\n  * This is easier than re-writing the sphinx-design rules. Even easier would be\n  * directly assigning our values to the --sd-color-* variables, but then our\n  * downstream users couldn't override *our* colors and have it affect buttons\n  * and badges.\n  *\n  * First, define the extra keys needed to cover the full range of semantic\n  * color names used in sphinx-design, then merge them with the names we\n  * already define for our own needs.\n  * see https://sphinx-design.readthedocs.io/en/latest/css_variables.html\n  */\n$extra-semantic-colors: (\n  \"white\": $foundation-white,\n  \"light\": (\n    light: $foundation-light-gray,\n    bg-light: color.scale($foundation-light-gray, $lightness: 30%),\n    dark: $foundation-light-gray,\n    bg-dark: color.scale($foundation-light-gray, $lightness: -30%),\n  ),\n  \"muted\": (\n    light: $foundation-muted-gray,\n    bg-light: color.scale($foundation-muted-gray, $lightness: 30%),\n    dark: $foundation-light-gray,\n    bg-dark: color.scale($foundation-muted-gray, $lightness: -30%),\n  ),\n  \"dark\": $foundation-dark-gray,\n  \"black\": $foundation-black,\n);\n$all-colors: map.merge($pst-semantic-colors, $extra-semantic-colors);\n\n@mixin create-sd-colors($value, $name) {\n  // define the pst variables, so that downstream user overrides will work\n  --pst-color-#{$name}: #{$value};\n\n  // we are now using a11y-combination to calculate the text color - this is based\n  // on the WCAG color contrast guidelines\n  --pst-color-#{$name}-text: #{a11y-combination($value)};\n\n  // highlight is used for hover effects on buttons, here we make some fluid scaling\n  // to avoid jarring effects -- we create a local variable that we can access\n  // later to calculate the text color\n  $highlight-color: color.scale($value, $lightness: -15%, $saturation: 5%);\n\n  --pst-color-#{$name}-highlight: #{$highlight-color};\n\n  // override the sphinx-design variables\n  --sd-color-#{$name}: var(--pst-color-#{$name});\n  --sd-color-#{$name}-text: var(--pst-color-#{$name}-text);\n  --sd-color-#{$name}-highlight: var(--pst-color-#{$name}-highlight);\n\n  // calculate the text color for the highlight color\n  --pst-color-#{$name}-highlight-text: #{a11y-combination($highlight-color)};\n}\n\n// Now we override the --sd-color-* variables.\n@each $mode in (light, dark) {\n  @debug \"Creating color variables for mode: #{$mode}\";\n  html[data-theme=\"#{$mode}\"] {\n    // check if this color is defined differently for light/dark\n    @each $name in $sd-semantic-color-names {\n      $definition: map.get($all-colors, $name);\n\n      @if meta.type-of($definition) == map {\n        @each $key, $value in $definition {\n          @if string.index($key, $mode) {\n            // since now we define the bg colours in the semantic colours and not\n            // by changing opacity, we need to check if the key contains bg and the\n            // correct mode (light/dark)\n            @if string.index($key, \"bg\") {\n              --sd-color-#{$name}-bg: #{$value};\n\n              // create local variable -- needed to calculate the text color\n              $value: check-color($value);\n\n              --sd-color-#{$name}-bg-text: #{a11y-combination($value)};\n            } @else {\n              $value: check-color($value);\n\n              @include create-sd-colors($value, $name);\n            }\n          }\n        }\n      } @else {\n        $value: map.get($all-colors, $name);\n\n        @include create-sd-colors($value, $name);\n      }\n    }\n  }\n}\n\n// Make sure the color border variables are set using our variables\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    --sd-color-card-border: var(--pst-color-border);\n  }\n}\n\n/*******************************************************************************\n  * shadows\n  */\nhtml[data-theme=\"light\"] {\n  .sd-shadow-xs,\n  .sd-shadow-sm,\n  .sd-shadow-md,\n  .sd-shadow-lg {\n    @include box-shadow;\n  }\n}\n\n/*******************************************************************************\n  * cards\n  */\n\n.bd-content .sd-card {\n  border: 1px solid var(--pst-color-border);\n\n  // TODO - --pst-color-panel-background is not defined... where is this coming from?\n  .sd-card-header {\n    background-color: var(--pst-color-panel-background);\n    border-bottom: 1px solid var(--pst-color-border);\n  }\n\n  .sd-card-footer {\n    background-color: var(--pst-color-panel-background);\n    border-top: 1px solid var(--pst-color-border);\n  }\n\n  .sd-card-body {\n    background-color: var(--pst-color-panel-background);\n  }\n\n  // Focus ring for link-cards\n  .sd-stretched-link:focus-visible {\n    // Don't put the focus ring on the <a> element (it has zero height in Sphinx Design cards)\n    outline: none;\n\n    // Put the focus ring on the <a> element's ::after pseudo-element\n    &::after {\n      outline: $focus-ring-outline;\n      border-radius: 0.25rem; // copied from Sphinx Design CSS for .sd-card\n    }\n  }\n\n  &.sd-card-hover:hover {\n    border-color: var(--pst-color-link-hover);\n  }\n}\n\n/*******************************************************************************\n  * tabs\n  */\n\n.bd-content .sd-tab-set {\n  > input {\n    // Active tab label\n    &:checked + label {\n      border-style: solid solid none;\n      border-color: var(--pst-color-primary) var(--pst-color-primary)\n        transparent; // top LR bottom\n\n      border-width: 0.125rem 0.125rem 0;\n      border-radius: 0.125rem 0.125rem 0 0;\n      background-color: var(--pst-color-on-background);\n      transform: translateY(0.125rem);\n      color: var(--pst-color-primary);\n    }\n\n    &:focus-visible + label {\n      border: 0.125rem solid var(--pst-color-accent);\n      border-radius: 0.125rem;\n      background-color: var(--pst-color-accent-bg);\n      color: var(--pst-color-on-surface);\n    }\n\n    // Hover label\n    &:not(:checked, :focus-visible) + label:hover {\n      border-color: transparent;\n      color: var(--pst-color-secondary);\n      text-decoration-line: underline;\n      text-decoration-thickness: $link-hover-decoration-thickness;\n    }\n  }\n\n  // Tab label\n  > label {\n    color: var(--pst-color-on-surface);\n    border: 0.125rem solid transparent;\n    border-radius: 0.125rem 0.125rem 0 0;\n    background-color: var(--pst-color-surface);\n    padding: 0 0.75em;\n    margin-inline-end: 0.25rem;\n    line-height: 1.95;\n\n    html[data-theme=\"dark\"] & {\n      background-color: var(--pst-color-on-background);\n    }\n  }\n\n  // panel\n  .sd-tab-content {\n    border: 0.125rem solid var(--pst-color-primary);\n    border-radius: 0.1875rem;\n    box-shadow: unset;\n    padding: 0.625rem;\n    background-color: var(--pst-color-on-background);\n  }\n}\n\n/*******************************************************************************\n* Dropdowns\n*/\n\ndetails.sd-dropdown {\n  // Remove all borders to over-ride SD behavior, and we'll add our own later\n  border: 0 !important;\n\n  // Drop shadow should behave same as admonitions\n  @include box-shadow;\n\n  // Header is where the \"clickable\" box goes\n  summary.sd-card-header {\n    border: 0 !important;\n    display: flex;\n    align-items: center;\n    position: relative; // So background color works\n    font-weight: 600;\n    padding-top: 0.5rem;\n    padding-bottom: 0.5rem;\n\n    // Set a variable that we can re-use for colors later\n    // We must set this in the current and content sibling container\n    // so that it is defined in both places\n    --pst-sd-dropdown-color: var(--pst-gray-500);\n    --pst-sd-dropdown-bg-color: var(--pst-color-surface);\n\n    & + div.sd-summary-content {\n      border: 0;\n\n      --pst-sd-dropdown-color: var(--sd-color-card-border);\n    }\n\n    @each $name in $sd-semantic-color-names {\n      &.sd-bg-#{$name} {\n        --pst-sd-dropdown-color: var(--sd-color-#{$name});\n        --pst-sd-dropdown-bg-color: var(--sd-color-#{$name}-bg);\n\n        // Otherwise it won't be defined in the sibling element\n        & + div.sd-summary-content {\n          --pst-sd-dropdown-color: var(--sd-color-#{$name});\n          --pst-sd-dropdown-bg-color: var(--sd-color-#{$name}-bg);\n        }\n      }\n      &.sd-bg-text-#{$name} {\n        // Use the WCAG conformant text color\n        color: var(--sd-color-#{$name}-bg-text) !important;\n      }\n    }\n\n    @include legacy-backdrop-placeholder;\n\n    background-color: var(--pst-sd-dropdown-bg-color) !important;\n\n    // Add a left border with the same structure as our admonitions\n    border-left: 0.2rem solid var(--pst-sd-dropdown-color) !important;\n\n    // stylelint-disable-next-line no-duplicate-selectors\n    & + div.sd-summary-content {\n      border-left: 0.2rem solid var(--pst-sd-dropdown-color) !important;\n      border-bottom-left-radius: calc(0.25rem - 1px);\n      background-color: var(--pst-color-on-background);\n    }\n\n    span.sd-summary-icon {\n      display: inline-flex;\n      align-items: center;\n      color: var(--pst-sd-dropdown-color) !important;\n\n      svg {\n        opacity: 1;\n      }\n    }\n\n    // Positioning of the caret\n    .sd-summary-up,\n    .sd-summary-down {\n      top: 0.7rem;\n    }\n\n    // Focus ring\n    &:focus-visible {\n      outline: $focus-ring-outline;\n      outline-offset: -$focus-ring-width;\n    }\n  }\n}\n\n/*******************************************************************************\n* Buttons (which in Sphinx Design are actually links that look like buttons)\n* ref: https://sphinx-design.readthedocs.io/en/pydata-theme/badges_buttons.html#buttons\n*/\nhtml {\n  .sd-btn {\n    min-width: 2.25rem;\n    padding: 0.3125rem 0.75rem 0.4375rem; // 5px 12px 7px\n\n    &:hover {\n      @include link-style-hover; // override Sphinx Design\n\n      text-decoration-thickness: 1px;\n    }\n  }\n\n  @each $name in $sd-semantic-color-names {\n    .sd-btn-#{$name} {\n      &:hover {\n        color: var(--pst-color-#{$name}-highlight-text) !important;\n      }\n    }\n  }\n\n  @each $name in $sd-semantic-color-names {\n    .sd-btn-#{$name},\n    .sd-btn-outline-#{$name} {\n      &:focus-visible {\n        // Override Sphinx Design's use of -highlight colors. The -highlight\n        // colors are 15% darker, so this would create the effect of darkening\n        // the button when focused but we just want the button to have a focus\n        // ring of the same (non-highlight) color.\n        background-color: var(--sd-color-#{$name}) !important;\n        border-color: var(--sd-color-#{$name}) !important;\n        outline: var(--sd-color-#{$name}) solid $focus-ring-width;\n        outline-offset: $focus-ring-width;\n      }\n    }\n  }\n}\n","/**\n * Sphinx togglebutton\n */\n\n.bd-content {\n  @mixin chevron-down {\n    .toggle-chevron-right {\n      transform: rotate(90deg); // point chevron down\n      transition: none; // match non-animated behavior of other chevrons on site\n    }\n  }\n\n  @mixin chevron-up {\n    .toggle-chevron-right {\n      transform: rotate(-90deg); // point chevron up\n      transition: none; // match non-animated behavior of other chevrons on site\n    }\n  }\n\n  // Admonition toggles\n  .admonition {\n    button.toggle-button {\n      color: inherit;\n\n      // When disclosure widget is closed\n      &.toggle-button-hidden {\n        @include chevron-down;\n      }\n\n      // When open\n      @include chevron-up;\n    }\n\n    // Focus ring\n    // ----------\n    // Sphinx-togglebutton makes the entire admonition header clickable, but\n    // only the button within the header is focusable. We want the entire\n    // clickable area to be surrounded with a focus ring, so that's why we use\n    // the :focus-within selector, rather than a :focus-visible selector on the\n    // button.\n    &:focus-within {\n      overflow: visible;\n\n      // The complicated focus ring styles here are a consequence of the markup\n      // and border styles for this particular admonition class. (For the other\n      // type of admonition on this site, the focus ring style is achieved with\n      // simple `outline` and `outline-offset` rules on the admonition's\n      // header.) The problem is that Sphinx-togglebutton puts the admonition's\n      // left border on the outermost container (rather than separately setting\n      // the left border on the container's children). This makes it complicated\n      // to get the focus ring to simultaneously cover the left border in the\n      // header and align perfectly on the right with the body.\n      .admonition-title:focus-within::before {\n        content: \"\";\n        transform: translateX(\n          -$admonition-left-border-width\n        ); // align left edges of admonition and ring\n\n        width: calc(100% + $admonition-left-border-width); // align right edges\n        height: 100%;\n        border: $focus-ring-outline;\n        border-radius: $focus-ring-width;\n      }\n\n      // When expanded, sharpen the bottom left and right corners of the focus ring\n      &:not(.toggle-hidden) .admonition-title:focus-within::before {\n        border-bottom-left-radius: 0;\n        border-bottom-right-radius: 0;\n      }\n    }\n  }\n\n  // Details buttons\n  details.toggle-details {\n    // Over-ride border color to re-use our primary color\n    summary {\n      border-left: 3px solid var(--pst-color-primary);\n\n      @include chevron-down;\n    }\n\n    // When expanded, sharpen the bottom left and right corners of the focus ring\n    &[open] {\n      @include chevron-up;\n\n      :focus-visible {\n        border-bottom-left-radius: 0;\n        border-bottom-right-radius: 0;\n      }\n    }\n  }\n}\n","/**\n * Styles for various Sphinx execution libraries to display pre-executed notebooks.\n * For now, where these define output sections, we simply revert their background\n * to be a \"light theme\" background. This ensures that inputs/outputs behave similarly,\n * because the CSS is often controlled by each package.\n * In the future, we might add dark theme support for specific packages.\n */\n\n/*******************************************************************************\n * nbsphinx\n */\nhtml div.rendered_html,\n// NBsphinx ipywidgets output selector\nhtml .jp-RenderedHTMLCommon {\n  // Add some margin around the element box for the focus ring. Otherwise the\n  // focus ring gets clipped because the containing elements have `overflow:\n  // hidden` applied to them (via the `.lm-Widget` selector)\n  margin: $focus-ring-width;\n\n  table {\n    table-layout: auto;\n  }\n}\n\n.bd-content .nboutput {\n  .output_area {\n    &.rendered_html,\n    .jp-RenderedHTMLCommon {\n      // pandas\n      table.dataframe {\n        @include table-colors;\n      }\n    }\n\n    // Dark theme special-cases\n    html[data-theme=\"dark\"] & {\n      &.rendered_html:not(:has(table.dataframe)),\n      // ipywidgets\n      .widget-subarea {\n        @include cell-output-background;\n      }\n\n      &.stderr {\n        background-color: var(--pst-color-danger);\n      }\n    }\n  }\n}\n\n// Add extra padding to the final item in an nbsphinx container\ndiv.nblast.container {\n  margin-bottom: 1rem;\n}\n\n// Override nbsphinx's colors for notebook cell prompts because they do not have\n// sufficient contrast. Colors chosen from accessible-pygments\n// a11y-high-contrast-{light,dark} themes.\n\n// Notebook cell input line number. Replace nbsphinx's low contrast blue with\n// higher contrast blues.\n.nbinput.container .prompt pre {\n  html[data-theme=\"light\"] & {\n    // Copied from accessible-pygments [a11y-high-contrast-light](https://github.com/Quansight-Labs/accessible-pygments/tree/main/a11y_pygments/a11y_high_contrast_light)\n    color: #005b82;\n  }\n\n  html[data-theme=\"dark\"] & {\n    // Copied from accessible-pygments [a11y-high-contrast-dark](https://github.com/Quansight-Labs/accessible-pygments/tree/main/a11y_pygments/a11y_high_contrast_dark)\n    color: #00e0e0;\n  }\n}\n\n// Notebook cell output line number. Replace nbsphinx's low contrast red with\n// higher contrast red / orange.\n.nboutput.container .prompt pre {\n  html[data-theme=\"light\"] & {\n    // Copied from accessible-pygments [a11y-high-contrast-light](https://github.com/Quansight-Labs/accessible-pygments/tree/main/a11y_pygments/a11y_high_contrast_light)\n    color: #a12236;\n  }\n\n  html[data-theme=\"dark\"] & {\n    // Copied from accessible-pygments [a11y-high-contrast-dark](https://github.com/Quansight-Labs/accessible-pygments/tree/main/a11y_pygments/a11y_high_contrast_dark)\n    color: #ffa07a;\n  }\n}\n\n/*******************************************************************************\n * myst NB\n */\n\ndiv.cell_output .output {\n  max-width: 100%;\n  overflow-x: auto;\n}\n\n.bd-content div.cell_output {\n  // pandas\n  table.dataframe {\n    @include table-colors;\n  }\n\n  html[data-theme=\"dark\"] & {\n    img,\n    .text_html:not(:has(table.dataframe)),\n    // ipywidgets\n    .widget-subarea {\n      @include cell-output-background;\n    }\n  }\n}\n\n// Prevent tables from scrunching together\n.bd-content {\n  div.cell_input {\n    display: flex;\n    flex-direction: column;\n    justify-content: stretch;\n  }\n\n  div.cell_input,\n  div.output {\n    border-radius: $admonition-border-radius;\n  }\n\n  div.output {\n    table {\n      table-layout: auto;\n    }\n  }\n}\n","/**\n * style for the various mapping libs based on leaflet (folium, geemap, ipyleaflet)\n * mainly ensure the good display of the maps in both themes and avoid the customization\n * of the tiles\n */\n\n/**\n * avoid border override from pydata-sphinx-theme\n * minimal selctor to get the priority\n */\nhtml[data-theme=\"dark\"] .bd-content img.leaflet-tile.leaflet-tile-loaded {\n  border-radius: 0;\n  padding: 0;\n}\n","/**\n * /search.html page special-cases\n */\n\n.bd-search-container {\n  /*******************************************\n  * Search results\n  */\n  // Whitespace\n  div#search-results {\n    > h2 {\n      font-size: var(--pst-font-size-icon);\n      margin-top: 1rem;\n    }\n\n    p.search-summary {\n      color: var(--pst-color-text-muted);\n    }\n  }\n\n  ul.search {\n    margin: 0;\n    list-style: none;\n\n    li {\n      background-image: none;\n      padding: 1rem 0;\n      margin: 1rem 0;\n      border-top: 1px solid var(--pst-color-text-muted);\n\n      // First link is the page title, it should be a bit bigger\n      > a {\n        font-size: 1.2em;\n      }\n\n      div.context,\n      p.context {\n        color: var(--pst-color-text-base);\n        margin: 0.5em 0 0;\n\n        // Add a # before page section titles to make it clear they are sections\n        a::before {\n          content: \"#\";\n          padding-right: 0.2em;\n          color: var(--pst-color-text-muted);\n        }\n      }\n    }\n  }\n}\n"],"names":[],"sourceRoot":""}
\ No newline at end of file
diff --git a/_static/styles/sphinx-book-theme.css b/_static/styles/sphinx-book-theme.css
new file mode 100644
index 000000000..5197540c9
--- /dev/null
+++ b/_static/styles/sphinx-book-theme.css
@@ -0,0 +1,9 @@
+/*! sphinx-book-theme CSS
+ * BSD 3-Clause License
+ * Copyright (c) 2020, EBP
+ * All rights reserved.
+ *
+ * This follows the 7-1 pattern described here:
+ * https://sass-guidelin.es/#architecture
+ */html[data-theme=dark],html[data-theme=light]{--pst-font-size-base:none;--pst-color-secondary:#e89217}html[data-theme=light]{--sbt-color-announcement:#616161;--pst-color-primary:#176de8}html[data-theme=dark]{--pst-color-primary:#528fe4;--sbt-color-announcement:#616161;--pst-color-background:#121212}html{scroll-padding-top:4rem}.sbt-scroll-pixel-helper{height:0;left:0;position:absolute;top:0;width:0}.d-n,.onlyprint{display:none}@media print{.onlyprint{display:block!important}.noprint{display:none!important}}.bd-article-container h1,.bd-article-container h2,.bd-article-container h3,.bd-article-container h4,.bd-article-container h5,.bd-article-container p.caption{color:var(--pst-color-muted)}.bd-article-container h1,.bd-article-container h2{font-weight:500}a.brackets:before{color:inherit;font-family:inherit;margin-right:0}table{position:relative}@media print{.bd-main .bd-content{height:auto;margin-left:2rem}.bd-main .bd-content #jb-print-docs-body{margin-left:0}.bd-main .bd-content 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a{text-decoration:none!important}.bd-main .bd-content #jb-print-toc .section-nav li{display:list-item!important}.bd-main .bd-content #jb-print-toc .section-nav .nav{display:none}.bd-main .bd-footer-content{display:none!important}}.bd-header-announcement{background-color:var(--sbt-color-announcement);color:#fff}.bd-main .bd-content{justify-content:left}.bd-main .bd-content .bd-article-container{min-width:0;overflow-x:unset;padding:0}@media(min-width:1200px){.bd-main .bd-content .bd-article-container{max-width:calc(100% - var(--pst-sidebar-secondary))}}.bd-main .bd-content .bd-article-container .bd-article{padding-left:2rem;padding-right:2rem}@media(max-width:768px){.bd-main .bd-content .bd-article-container .bd-article{padding-left:1rem;padding-right:1rem}}.bd-main .bd-content .bd-article-container details.above-input summary,.bd-main .bd-content .bd-article-container details.below-input summary{border-left:3px solid 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var(--pst-color-shadow),\n    0 0 0.0625rem var(--pst-color-shadow) !important;\n}\n",".bd-header {\n  // Turn off sticky positioning so that it scrolls\n  position: inherit;\n\n  // Turn these off because we'll show it in the article header\n  // The primary sidebar toggle\n  button.sidebar-toggle {\n    display: none;\n  }\n}\n","/*********************************************\n* Left Nav Bar *\n*********************************************/\n\n.bd-sidebar-primary {\n  // So that it sticks to the top of the page instead of the header height\n  top: 0;\n  max-height: 100vh;\n\n  // Tighter padding so the spacing is more equal\n  padding: 1rem;\n\n  // Draw open/close animation\n  transition:\n    margin-left $animation-time ease 0s,\n    opacity $animation-time ease 0s,\n    visibility $animation-time ease 0s;\n\n  @media (max-width: $breakpoint-md) {\n    // So that tooltips don't overlap\n    z-index: $zindex-tooltip + 1;\n  }\n\n  // Remove the top border since there's often no header items above\n  .sidebar-primary-items__start {\n    border-top: none;\n  }\n\n  // On wide screens we have a smaller sidebar width than PST\n  @media (min-width: $breakpoint-lg) {\n    flex-basis: $sidebar-primary-width-widescreen;\n  }\n}\n\n// Default visibility for left sidebar is the reverse of what it is on mobile.\n// It is shown by default, and hidden with a click.\n// Mobile behavior is defined in the pydata sphinx theme\n@media (min-width: $breakpoint-lg) {\n  input#pst-primary-sidebar-checkbox:checked\n    ~ .bd-container\n    .bd-sidebar-primary {\n    margin-left: -$sidebar-primary-width-widescreen;\n    visibility: hidden;\n    opacity: 0;\n  }\n}\n","/*********************************************\n* Table of Contents (right nav bar)          *\n*********************************************/\n\n.bd-sidebar-secondary {\n  // So that it sticks to the top of the page instead of the header height\n  top: 0;\n\n  @media (max-width: $breakpoint-xl) {\n    // So that tooltips don't overlap\n    z-index: $zindex-tooltip + 1;\n  }\n\n  // So that we can center the TOC button with the article header buttons\n  .sidebar-secondary-items {\n    padding: 0;\n    display: flex;\n    gap: 0.5rem;\n\n    // Remove the manual padding since we'll use `gap`\n    .sidebar-secondary-item {\n      padding-top: 0;\n      padding-bottom: 0;\n    }\n  }\n\n  // The 'on this page' title div should take up the full header\n  .onthispage {\n    height: $header-article-height;\n    min-height: $header-article-height;\n    display: flex;\n    gap: 0.5rem;\n    align-items: center;\n    margin: 0;\n    color: var(--pst-color-muted);\n  }\n\n  // Wide screen behavior\n  @media (min-width: $breakpoint-xl) {\n    background: var(--pst-color-background);\n    height: fit-content;\n    transition: max-height 0.4s ease;\n\n    // To make sure it shows above the page content\n    z-index: $zindex-middle;\n\n    // Remove padding so that it's flush on the top and left\n    padding: 0;\n\n    // This is the container div for the secondary sidebar nav\n    .toc-item {\n      // Border is a bit less prominent\n      border-left-color: var(--pst-color-surface);\n      // Flush with the top so that we can fix the height of the toc header div\n      padding-top: 0;\n\n      // The table of contents <ul> after the title div\n      nav.page-toc {\n        // Remove extra margin the PST adds for other sidebar items\n        margin-bottom: 0;\n\n        // Items after \"on this page' should fade in and out\n        transition: opacity 0.4s ease;\n      }\n    }\n\n    // Rules for when sidebar is hidden\n    // the `not:hover` means that hovering over the sidebar will show it again.\n    &.hide:not(:hover) {\n      // Cap the height, and remove the scrollbar\n      max-height: $header-article-height;\n      overflow-y: hidden;\n\n      // Shadow matches what we have in the article header\n      .scrolled & {\n        box-shadow: 0 6px 6px -6px rgba(0, 0, 0, 0.3);\n      }\n\n      // Show a down carot\n      .onthispage:after {\n        opacity: 1;\n        content: \"\\f107\";\n        font-family: \"Font Awesome 5 Free\";\n        font-weight: 900;\n        padding-left: 0.5em;\n        transition: opacity 0.3s ease;\n      }\n\n      // The page-toc list is hidden\n      nav.page-toc {\n        opacity: 0;\n      }\n    }\n  }\n}\n","/*********************************************\n* Footer - content *\n*********************************************/\nfooter {\n  font-size: var(--sbt-font-size-small-1);\n  &.bd-footer-content {\n    display: flex;\n    flex-wrap: wrap;\n    padding: 15px;\n    border-top: 1px solid #ccc;\n    font-size: $sbt-font-size-small-1;\n    .bd-footer-content__inner {\n      padding-left: 0px;\n      p {\n        margin-bottom: 0px;\n      }\n    }\n  }\n}\n",".bd-footer-article {\n  padding: 0rem 1rem;\n  @media (max-width: $breakpoint-md) {\n    // More room for text on mobile\n    padding: 0rem 0.5rem;\n  }\n}\n","#pst-back-to-top {\n  // We should only display the back-to-top button when the TOC is not available.\n  // AKA, on narrow-ish screens.\n  // This over-rides a PST default\n  @media (min-width: $breakpoint-xl) {\n    display: none !important;\n  }\n\n  // Reduce size to be slightly less intrusive on the page\n  font-size: 0.8rem;\n}\n","/**\n * Icon links design for the primary sidebar, where it defaults in this theme.\n */\n.bd-sidebar-primary {\n  .navbar-icon-links {\n    column-gap: 0.5rem;\n\n    .nav-link {\n      // There are few kinds of elements that can be icon links and each is different\n      i,\n      span {\n        font-size: 1.2rem;\n      }\n\n      // Images usually fill more vertical space so we make them a bit smaller\n      img {\n        font-size: 0.8rem;\n      }\n    }\n  }\n}\n",".navbar-brand {\n  height: unset;\n  max-height: unset;\n\n  // Auto-center the image and title and make items vertical\n  flex-direction: column;\n  justify-content: center;\n  gap: 0.25rem;\n\n  // To prevent site text from having underlines\n  &:hover {\n    text-decoration: none;\n  }\n  .logo__title {\n    font-size: 1.25rem;\n    white-space: normal;\n    text-align: center;\n  }\n  // Prevent images from stretching vertically\n  .logo__image {\n    height: unset;\n  }\n}\n","// Clean up the search page so that it has less unnecessary text\n.bd-search-container {\n  margin: 2em;\n\n  #search-results {\n    h2:first-child {\n      display: none;\n    }\n  }\n}\n\n// Sidebar search button field\n.search-button-field {\n  width: 100%;\n  font-size: 0.9rem;\n  // Hide by default and we'll add a rule to show it on wide sreen below\n  display: none;\n\n  .search-button__kbd-shortcut {\n    margin-left: auto;\n  }\n}\n\n// Rules to switch off visibility of the field button and the header button\n@media (min-width: $breakpoint-lg) {\n  .search-button {\n    display: none !important;\n  }\n\n  .search-button-field {\n    display: flex;\n  }\n}\n\n// The \"clear search results\" button\n// Make it line up with our content better\ndiv#searchbox {\n  padding-right: 2rem;\n  padding-left: 2rem;\n  @media (max-width: $breakpoint-md) {\n    padding-right: 1rem;\n    padding-left: 1rem;\n  }\n\n  p.highlight-link {\n    // Remove the extra margin that is added\n    @media (min-width: $breakpoint-md) {\n      margin-left: 0;\n      a {\n        font-size: 1rem;\n      }\n    }\n  }\n}\n","// Images\nimg {\n  max-width: 100%;\n\n  &.align-center {\n    margin-left: auto;\n    margin-right: auto;\n    display: block;\n  }\n\n  &.align-left {\n    clear: left;\n    float: left;\n    margin-right: 1em;\n  }\n\n  &.align-right {\n    clear: right;\n    float: right;\n    margin-left: 1em;\n  }\n}\n\n// Figures\ndiv.figure {\n  width: 100%;\n  margin-bottom: 1em;\n  text-align: center;\n\n  &.align-left {\n    text-align: left;\n    p.caption {\n      margin-left: 0;\n    }\n  }\n  &.align-right {\n    text-align: right;\n    p.caption {\n      margin-right: 0;\n    }\n  }\n\n  p.caption {\n    margin: 0.5em 10%;\n  }\n\n  &.margin,\n  &.margin-caption {\n    p.caption {\n      margin: 0.5em 0;\n    }\n  }\n\n  &.margin-caption p.caption {\n    text-align: left;\n  }\n\n  span.caption-number {\n    font-weight: bold;\n  }\n\n  span {\n    font-size: 0.9rem;\n  }\n}\n","/**\n * Margin content\n * This is the area to the right of the main content\n * normally covered by the in-page table of contents\n * but if `.margin` classes are present, it shows up to the right in the margin\n * and the in-page TOC is hidden.\n * On narrow screens, margin content behaves like a sidebar\n */\n\n/**\n * Variables for calculating margin widths\n */\n// We want our margin content to be 1/3 the width of the main page content\n// after factoring in a small margin\n$margin-width-relative-to-content: 36%;\n$margin-gutter: 3%;\n$margin-width-width-gutter: $margin-width-relative-to-content - $margin-gutter;\n\n// re-subtract the gutter width because we want it to leave a white-space\n// This is how much to offset the margin content.\n$margin-offset: -$margin-width-relative-to-content;\n\n/**\n * This mixin will cause something to \"pop out\" to the margin on wide screens\n */\n@mixin margin-content() {\n  // On narrow screens this is the width of margin content\n  width: 40%;\n  float: right;\n  background-color: unset;\n  font-size: 0.9em;\n  margin-left: 0.5rem;\n\n  // Wide screens and printing should force margin behavior\n  @media (min-width: $breakpoint-lg), print {\n    width: $margin-width-width-gutter;\n    margin: 0 $margin-offset 0 0;\n\n    // Prevent sequential margin content from overlapping\n    clear: right;\n\n    p.sidebar-title {\n      margin-bottom: -1rem;\n      border-bottom: none;\n      padding-left: 0px;\n\n      // Content of admonitions has fewer horizontal white space to save space\n      ~ * {\n        padding-left: 0px;\n        padding-right: 0px;\n      }\n    }\n  }\n}\n\n/**\n * Sidenotes and marginnotes\n * over-rides the \"footnote\" behavior to pop out to the margin instead.\n */\nlabel.margin-toggle {\n  margin-bottom: 0em;\n  &.marginnote-label {\n    display: none;\n  }\n  sup {\n    user-select: none;\n  }\n  @media (max-width: $breakpoint-lg) {\n    cursor: pointer;\n    color: rgb(0, 113, 188);\n    &.marginnote-label {\n      display: inline;\n      &:after {\n        content: \"\\2295\";\n      }\n    }\n  }\n}\n\ninput.margin-toggle {\n  display: none;\n  @media (max-width: $breakpoint-lg) {\n    &:checked + .sidenote,\n    &:checked + .marginnote {\n      display: block;\n      float: left;\n      left: 1rem;\n      clear: both;\n      width: 95%;\n      margin: 1rem 2.5%;\n      position: relative;\n    }\n  }\n}\n\nspan.sidenote,\nspan.marginnote {\n  z-index: $zindex-middle;\n  position: relative;\n  sup {\n    user-select: none;\n  }\n  @include margin-content();\n  border-left: none;\n  @media (max-width: $breakpoint-lg) {\n    display: none;\n  }\n}\n\naside.sidebar {\n  .note {\n    // styling for notes inside sidebars\n    margin: 1rem;\n    padding: 0rem 0rem 1rem 0rem;\n  }\n  // The titles sticking\n  .admonition-title {\n    margin: 0rem -1rem 0rem 0rem;\n  }\n}\n\n/**\n * Sidebar content in the margin.\n * This will be added by the `margin` directive or the `sidebar` directive\n */\naside.sidebar.margin {\n  // Margin content can have an empty title so this prevents an empty title block\n  // from showing up on mobile\n  .sidebar-title:empty {\n    display: none;\n  }\n\n  // On narrow screens padding is added to all sidebar content\n  // This replaces padding w/ margin for admonitions because padding is used\n  // for the title background color\n  .admonition {\n    margin: 0.5rem;\n    padding-left: 0;\n    padding-right: 0;\n\n    // Remove the title margin so it\n    .admonition-title {\n      margin-left: 0;\n      margin-right: 0;\n    }\n  }\n\n  @media (min-width: $breakpoint-lg) {\n    // No border for margin sidebars on wide screen\n    border: none;\n\n    // Admonitions don't need the extra whitespace in the margin\n    .admonition {\n      margin: 1rem 0rem;\n      padding: 0rem 0rem 1rem 0rem;\n    }\n  }\n}\n\ndiv.margin,\nfigure.margin,\naside.margin,\n.margin.docutils.container,\n.cell.tag_popout,\n.cell.tag_margin {\n  z-index: $zindex-middle;\n  position: relative;\n  @include margin-content();\n\n  // Make cell outputs take up more space if they're in the margin\n  div.cell.tag_margin .cell_output {\n    padding-left: 0;\n  }\n}\n\n// A few permutations because docutils 0.18 switched to semantic tags\ndiv.figure.margin-caption p.caption,\ndiv.figure.margin-caption figcaption,\nfigure.margin-caption figcaption {\n  z-index: $zindex-middle;\n  position: relative;\n  @include margin-content();\n}\n\n// Margin captions\n.margin-caption figcaption {\n  text-align: left;\n}\n\n/**\n * Full width content\n */\n\n// Grow 100% by the ratio of the margin to the content width.\n$content-fullwidth-width: 100% + $margin-width-relative-to-content;\n\ndiv.cell.tag_full-width,\ndiv.cell.tag_full_width,\ndiv.full_width,\ndiv.full-width {\n  z-index: $zindex-middle;\n  position: relative;\n  @media (min-width: $breakpoint-lg) {\n    max-width: $content-fullwidth-width;\n    width: $content-fullwidth-width;\n  }\n}\n","/**\n * Epigraphs and other \"special\" quote blocks\n */\n\nblockquote {\n  &.pull-quote,\n  &.epigraph,\n  &.highlights {\n    font-size: 1.25em;\n    border-left: none;\n    background-color: var(--pst-color-background);\n  }\n\n  div > p + p.attribution {\n    font-style: normal;\n    font-size: 0.9em;\n    text-align: right;\n    color: #6c757d;\n    padding-right: 2em;\n  }\n}\n","// Over-ride Sphinx default so that content fills whitespace w/ margin content\npre,\ndiv[class*=\"highlight-\"] {\n  clear: none;\n}\n","// MyST-NB and Jupyter Notebooks\ndiv.cell.tag_output_scroll div.cell_output,\ndiv.cell.tag_scroll-output div.cell_output {\n  max-height: 24em;\n  overflow-y: auto;\n}\n\ndiv.cell.tag_scroll-input div.cell_input {\n  max-height: 24em;\n  overflow-y: auto;\n}\n","/**\n * Comment JavaScript libraries\n  * Libraries supported here are:\n  * - Hypothes.is : https://web.hypothes.is/\n  * - Utteranc.es : https://utteranc.es/\n  */\n// In general we want to hide any comment libraries on print\n@media only print {\n  hypothesis-sidebar,\n  div.utterances {\n    display: none;\n  }\n}\n","/*********************************************\n* Thebe *\n* ref: https://github.com/executablebooks/thebe\n*********************************************/\n.thebelab-cell {\n  border: none !important;\n  margin-right: 0.5em !important;\n}\n\n.thebelab-cell .thebelab-input {\n  padding-left: 10px !important;\n}\n\n.cell.docutils.container {\n  padding-right: 0px !important;\n}\n\nbutton.thebe-launch-button {\n  height: 2.5em;\n  font-size: 1em;\n}\n"],"names":[],"sourceRoot":""}
\ No newline at end of file
diff --git a/_static/styles/theme.css b/_static/styles/theme.css
new file mode 100644
index 000000000..4519dd912
--- /dev/null
+++ b/_static/styles/theme.css
@@ -0,0 +1,2 @@
+/* Provided by Sphinx's 'basic' theme, and included in the final set of assets */
+@import "../basic.css";
diff --git a/_static/tabs.css b/_static/tabs.css
new file mode 100644
index 000000000..957ba60d6
--- /dev/null
+++ b/_static/tabs.css
@@ -0,0 +1,89 @@
+.sphinx-tabs {
+  margin-bottom: 1rem;
+}
+
+[role="tablist"] {
+  border-bottom: 1px solid #a0b3bf;
+}
+
+.sphinx-tabs-tab {
+  position: relative;
+  font-family: Lato,'Helvetica Neue',Arial,Helvetica,sans-serif;
+  color: #1D5C87;
+  line-height: 24px;
+  margin: 0;
+  font-size: 16px;
+  font-weight: 400;
+  background-color: rgba(255, 255, 255, 0);
+  border-radius: 5px 5px 0 0;
+  border: 0;
+  padding: 1rem 1.5rem;
+  margin-bottom: 0;
+}
+
+.sphinx-tabs-tab[aria-selected="true"] {
+  font-weight: 700;
+  border: 1px solid #a0b3bf;
+  border-bottom: 1px solid white;
+  margin: -1px;
+  background-color: white;
+}
+
+.sphinx-tabs-tab:focus {
+  z-index: 1;
+  outline-offset: 1px;
+}
+
+.sphinx-tabs-panel {
+  position: relative;
+  padding: 1rem;
+  border: 1px solid #a0b3bf;
+  margin: 0px -1px -1px -1px;
+  border-radius: 0 0 5px 5px;
+  border-top: 0;
+  background: white;
+}
+
+.sphinx-tabs-panel.code-tab {
+  padding: 0.4rem;
+}
+
+.sphinx-tab img {
+	margin-bottom: 24 px;
+}
+
+/* Dark theme preference styling */
+
+@media (prefers-color-scheme: dark) {
+  body[data-theme="auto"] .sphinx-tabs-panel {
+    color: white;
+    background-color: rgb(50, 50, 50);
+  }
+
+  body[data-theme="auto"] .sphinx-tabs-tab {
+    color: white;
+    background-color: rgba(255, 255, 255, 0.05);
+  }
+
+  body[data-theme="auto"] .sphinx-tabs-tab[aria-selected="true"] {
+    border-bottom: 1px solid rgb(50, 50, 50);
+    background-color: rgb(50, 50, 50);
+  }
+}
+
+/* Explicit dark theme styling */
+
+body[data-theme="dark"] .sphinx-tabs-panel {
+  color: white;
+  background-color: rgb(50, 50, 50);
+}
+
+body[data-theme="dark"] .sphinx-tabs-tab {
+  color: white;
+  background-color: rgba(255, 255, 255, 0.05);
+}
+
+body[data-theme="dark"] .sphinx-tabs-tab[aria-selected="true"] {
+  border-bottom: 2px solid rgb(50, 50, 50);
+  background-color: rgb(50, 50, 50);
+}
diff --git a/_static/tabs.js b/_static/tabs.js
new file mode 100644
index 000000000..48dc303c8
--- /dev/null
+++ b/_static/tabs.js
@@ -0,0 +1,145 @@
+try {
+  var session = window.sessionStorage || {};
+} catch (e) {
+  var session = {};
+}
+
+window.addEventListener("DOMContentLoaded", () => {
+  const allTabs = document.querySelectorAll('.sphinx-tabs-tab');
+  const tabLists = document.querySelectorAll('[role="tablist"]');
+
+  allTabs.forEach(tab => {
+    tab.addEventListener("click", changeTabs);
+  });
+
+  tabLists.forEach(tabList => {
+    tabList.addEventListener("keydown", keyTabs);
+  });
+
+  // Restore group tab selection from session
+  const lastSelected = session.getItem('sphinx-tabs-last-selected');
+  if (lastSelected != null) selectNamedTabs(lastSelected);
+});
+
+/**
+ * Key focus left and right between sibling elements using arrows
+ * @param  {Node} e the element in focus when key was pressed
+ */
+function keyTabs(e) {
+    const tab = e.target;
+    let nextTab = null;
+    if (e.keyCode === 39 || e.keyCode === 37) {
+      tab.setAttribute("tabindex", -1);
+      // Move right
+      if (e.keyCode === 39) {
+        nextTab = tab.nextElementSibling;
+        if (nextTab === null) {
+          nextTab = tab.parentNode.firstElementChild;
+        }
+      // Move left
+      } else if (e.keyCode === 37) {
+        nextTab = tab.previousElementSibling;
+        if (nextTab === null) {
+          nextTab = tab.parentNode.lastElementChild;
+        }
+      }
+    }
+
+    if (nextTab !== null) {
+      nextTab.setAttribute("tabindex", 0);
+      nextTab.focus();
+    }
+}
+
+/**
+ * Select or deselect clicked tab. If a group tab
+ * is selected, also select tab in other tabLists.
+ * @param  {Node} e the element that was clicked
+ */
+function changeTabs(e) {
+  // Use this instead of the element that was clicked, in case it's a child
+  const notSelected = this.getAttribute("aria-selected") === "false";
+  const positionBefore = this.parentNode.getBoundingClientRect().top;
+  const notClosable = !this.parentNode.classList.contains("closeable");
+
+  deselectTabList(this);
+
+  if (notSelected || notClosable) {
+    selectTab(this);
+    const name = this.getAttribute("name");
+    selectNamedTabs(name, this.id);
+
+    if (this.classList.contains("group-tab")) {
+      // Persist during session
+      session.setItem('sphinx-tabs-last-selected', name);
+    }
+  }
+
+  const positionAfter = this.parentNode.getBoundingClientRect().top;
+  const positionDelta = positionAfter - positionBefore;
+  // Scroll to offset content resizing
+  window.scrollTo(0, window.scrollY + positionDelta);
+}
+
+/**
+ * Select tab and show associated panel.
+ * @param  {Node} tab tab to select
+ */
+function selectTab(tab) {
+  tab.setAttribute("aria-selected", true);
+
+  // Show the associated panel
+  document
+    .getElementById(tab.getAttribute("aria-controls"))
+    .removeAttribute("hidden");
+}
+
+/**
+ * Hide the panels associated with all tabs within the
+ * tablist containing this tab.
+ * @param  {Node} tab a tab within the tablist to deselect
+ */
+function deselectTabList(tab) {
+  const parent = tab.parentNode;
+  const grandparent = parent.parentNode;
+
+  Array.from(parent.children)
+  .forEach(t => t.setAttribute("aria-selected", false));
+
+  Array.from(grandparent.children)
+    .slice(1)  // Skip tablist
+    .forEach(panel => panel.setAttribute("hidden", true));
+}
+
+/**
+ * Select grouped tabs with the same name, but no the tab
+ * with the given id.
+ * @param  {Node} name name of grouped tab to be selected
+ * @param  {Node} clickedId id of clicked tab
+ */
+function selectNamedTabs(name, clickedId=null) {
+  const groupedTabs = document.querySelectorAll(`.sphinx-tabs-tab[name="${name}"]`);
+  const tabLists = Array.from(groupedTabs).map(tab => tab.parentNode);
+
+  tabLists
+    .forEach(tabList => {
+      // Don't want to change the tabList containing the clicked tab
+      const clickedTab = tabList.querySelector(`[id="${clickedId}"]`);
+      if (clickedTab === null ) {
+        // Select first tab with matching name
+        const tab = tabList.querySelector(`.sphinx-tabs-tab[name="${name}"]`);
+        deselectTabList(tab);
+        selectTab(tab);
+      }
+    })
+}
+
+if (typeof exports === 'undefined') {
+  exports = {};
+}
+
+exports.keyTabs = keyTabs;
+exports.changeTabs = changeTabs;
+exports.selectTab = selectTab;
+exports.deselectTabList = deselectTabList;
+exports.selectNamedTabs = selectNamedTabs;
diff --git a/_static/vendor/fontawesome/webfonts/fa-brands-400.ttf b/_static/vendor/fontawesome/webfonts/fa-brands-400.ttf
new file mode 100644
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GIT binary patch
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HcmV?d00001

diff --git a/_static/webpack-macros.html b/_static/webpack-macros.html
new file mode 100644
index 000000000..0d16f94d6
--- /dev/null
+++ b/_static/webpack-macros.html
@@ -0,0 +1,24 @@
+<!--
+  AUTO-GENERATED from webpack.config.js, do **NOT** edit by hand.
+  These are re-used in layout.html
+-->
+
+{% macro head_pre_assets() %}
+  <!-- Loaded before other Sphinx assets -->
+  <link href="{{ pathto('_static/styles/theme.css', 1) }}?digest=26a4bc78f4c0ddb94549" rel="stylesheet" />
+<link href="{{ pathto('_static/styles/pydata-sphinx-theme.css', 1) }}?digest=26a4bc78f4c0ddb94549" rel="stylesheet" />
+{% endmacro %}
+
+{% macro head_js_preload() %}
+  <!-- So that users can add custom icons -->
+  <script src="{{ pathto('_static/scripts/fontawesome.js', 1) }}?digest=26a4bc78f4c0ddb94549"></script>
+  <!-- Pre-loaded scripts that we'll load fully later -->
+  <link rel="preload" as="script" href="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=26a4bc78f4c0ddb94549" />
+<link rel="preload" as="script" href="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=26a4bc78f4c0ddb94549" />
+{% endmacro %}
+
+{% macro body_post() %}
+  <!-- Scripts loaded after <body> so the DOM is not blocked -->
+  <script defer src="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=26a4bc78f4c0ddb94549"></script>
+<script defer src="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=26a4bc78f4c0ddb94549"></script>
+{% endmacro %}
\ No newline at end of file
diff --git a/api.html b/api.html
new file mode 100644
index 000000000..3de711df3
--- /dev/null
+++ b/api.html
@@ -0,0 +1,718 @@
+
+<!DOCTYPE html>
+
+
+<html lang="en" data-content_root="./" >
+
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
+
+    <title>&lt;no title&gt; &#8212; sup3r 0.2.1.dev62 documentation</title>
+  
+  
+  
+  <script data-cfasync="false">
+    document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
+    document.documentElement.dataset.theme = localStorage.getItem("theme") || "";
+  </script>
+  <!-- 
+    this give us a css class that will be invisible only if js is disabled 
+  -->
+  <noscript>
+    <style>
+      .pst-js-only { display: none !important; }
+
+    </style>
+  </noscript>
+  
+  <!-- Loaded before other Sphinx assets -->
+  <link href="_static/styles/theme.css?digest=26a4bc78f4c0ddb94549" rel="stylesheet" />
+<link href="_static/styles/pydata-sphinx-theme.css?digest=26a4bc78f4c0ddb94549" rel="stylesheet" />
+
+    <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=fa44fd50" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/sphinx-book-theme.css?v=a3416100" />
+    <link rel="stylesheet" type="text/css" href="_static/copybutton.css?v=76b2166b" />
+  
+  <!-- So that users can add custom icons -->
+  <script src="_static/scripts/fontawesome.js?digest=26a4bc78f4c0ddb94549"></script>
+  <!-- Pre-loaded scripts that we'll load fully later -->
+  <link rel="preload" as="script" href="_static/scripts/bootstrap.js?digest=26a4bc78f4c0ddb94549" />
+<link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=26a4bc78f4c0ddb94549" />
+
+    <script src="_static/documentation_options.js?v=fd9c79f9"></script>
+    <script src="_static/doctools.js?v=9bcbadda"></script>
+    <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
+    <script src="_static/clipboard.min.js?v=a7894cd8"></script>
+    <script src="_static/copybutton.js?v=f281be69"></script>
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+    <h1>Sup3rCC Examples</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
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+            <div>
+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3rcc-data-access">Sup3rCC Data Access</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#directory-structure">Directory Structure</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#example-sup3rcc-data-usage">Example Sup3rCC Data Usage</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#running-sup3rcc-models">Running Sup3rCC Models</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#nuances-of-sup3rcc">Nuances of Sup3rCC</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3rcc-versions">Sup3rCC Versions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#recommended-citation">Recommended Citation</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#acknowledgements">Acknowledgements</a></li>
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+  <section id="sup3rcc-examples">
+<h1>Sup3rCC Examples<a class="headerlink" href="#sup3rcc-examples" title="Link to this heading">#</a></h1>
+<p>Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC) is one application of the sup3r software. In this work, we train generative models to create high-resolution (4km hourly) wind, solar, and temperature data based on coarse (100km daily) global climate model data (GCM). The generative models and high-resolution output data are publicly available via the <a class="reference external" href="https://data.openei.org/submissions/5839">Open Energy Data Initiative (OEDI)</a> and via HSDS at the bucket <code class="docutils literal notranslate"><span class="pre">nrel-pds-hsds</span></code> and HSDS path <code class="docutils literal notranslate"><span class="pre">/nrel/sup3rcc/</span></code>. This set of examples lays out basic ways to use the Sup3rCC models and data.</p>
+<section id="sup3rcc-data-access">
+<h2>Sup3rCC Data Access<a class="headerlink" href="#sup3rcc-data-access" title="Link to this heading">#</a></h2>
+<p>For high level details on accessing the NREL renewable energy resource datasets including Sup3rCC, see the <a class="reference external" href="https://nrel.github.io/rex/misc/examples.nrel_data.html">rex docs pages</a></p>
+<p>The Sup3rCC data and models are publicly available in a public AWS S3 bucket. The data files and models can be downloaded directly from there to your local machine or an EC2 instance using the <a class="reference external" href="https://data.openei.org/s3_viewer?bucket-nrel-pds-sup3rcc">OEDI data explorer</a> or the <a class="reference external" href="https://aws.amazon.com/cli/">AWS CLI</a>. A word of caution: there’s a lot of data here. The smallest Sup3rCC file for just a single variable is 18 GB, and a full year of data is 216 GB.</p>
+<p>The Sup3rCC data is also loaded into <a class="reference external" href="https://www.hdfgroup.org/solutions/highly-scalable-data-service-hsds/">HSDS</a> so that you may stream the data via the <a class="reference external" href="https://developer.nrel.gov/signup/">NREL developer API</a> or your own HSDS server. This is the best option if you’re not going to want the full annual dataset over the whole United States. See these <a class="reference external" href="https://nrel.github.io/rex/misc/examples.hsds.html">rex instructions</a> for more details on how to access this data with HSDS and rex.</p>
+</section>
+<section id="directory-structure">
+<h2>Directory Structure<a class="headerlink" href="#directory-structure" title="Link to this heading">#</a></h2>
+<p>The Sup3rCC directory contains downscaled data for multiple projections of future climate change. For example, a file from the initial data release <code class="docutils literal notranslate"><span class="pre">sup3rcc_conus_ecearth3_ssp585_r1i1p1f1_wind_2015.h5</span></code> is downscaled from the climate model MRI ESM 2.0 for climate change scenario SSP5 8.5 and variant label r1i1p1f1. The file contains wind variables for the year 2015. Note that this will represent the climate from 2015, but not the actual weather we experienced.</p>
+<p>Within the S3 bucket there is also a folder <code class="docutils literal notranslate"><span class="pre">models</span></code> providing pre-trained Sup3rCC generative machine learning models.</p>
+</section>
+<section id="example-sup3rcc-data-usage">
+<h2>Example Sup3rCC Data Usage<a class="headerlink" href="#example-sup3rcc-data-usage" title="Link to this heading">#</a></h2>
+<p>The jupyter notebook in this example shows some basic code to access and explore the data. You can walk through the <a class="reference external" href="https://github.com/NREL/sup3r/tree/main/examples/sup3rcc/using_the_data.ipynb">example notebook</a>. You can also clone this repo, setup a basic python environment with <a class="reference external" href="https://github.com/NREL/rex">rex</a>, and run the notebook on your own.</p>
+</section>
+<section id="running-sup3rcc-models">
+<h2>Running Sup3rCC Models<a class="headerlink" href="#running-sup3rcc-models" title="Link to this heading">#</a></h2>
+<p>In a first-of-a-kind data product, we have released the pre-trained Sup3rCC generative machine learning models along with the sup3r software so that anyone working at the intersection of energy and climate may create their own high-resolution renewable energy resource data from GCM input. You might want to do this if you have your own GCMs or climate scenarios that you’re interested in studying.</p>
+<p>To run the Sup3rCC models, follow these instructions:</p>
+<ol class="arabic simple">
+<li><p>Decide what kind of hardware you’re going to use. You could technically run Sup3rCC on a desktop computer, but you will need lots of RAM (we use compute nodes with 170 GB of RAM). We recommend a high-performance-computing cluster if you have access to one, or an <a class="reference external" href="https://aws.amazon.com/hpc/parallelcluster/">AWS Parallel Cluster</a> if you do not.</p></li>
+<li><p>Download the Sup3rCC models to your hardware using the AWS CLI: <code class="docutils literal notranslate"><span class="pre">$</span> <span class="pre">aws</span> <span class="pre">s3</span> <span class="pre">cp</span> <span class="pre">s3://nrel-pds-sup3rcc/models/</span></code></p></li>
+<li><p>Download the GCM data that you want to downscale from <a class="reference external" href="https://esgf-node.llnl.gov/search/cmip6/">CMIP6</a></p></li>
+<li><p>Setup the Sup3rCC software. We recommend using <a class="reference external" href="https://docs.conda.io/en/latest/miniconda.html">miniconda</a> to manage your python environments. You can create a sup3r environment with the conda file in this example directory: <code class="docutils literal notranslate"><span class="pre">$</span> <span class="pre">conda</span> <span class="pre">env</span> <span class="pre">create</span> <span class="pre">-n</span> <span class="pre">sup3rcc</span> <span class="pre">--file</span> <span class="pre">env.yml</span></code></p></li>
+<li><p>Copy this examples directory to your hardware. You’re going to be using the folder structure in <code class="docutils literal notranslate"><span class="pre">/sup3r/examples/sup3rcc/run_configs</span></code> as your project directories (<code class="docutils literal notranslate"><span class="pre">/sup3r/</span></code> is a git clone of the sup3r software repo).</p></li>
+<li><p>Navigate to <code class="docutils literal notranslate"><span class="pre">/sup3r/examples/sup3rcc/run_configs/trh/</span></code> and update all of the filepaths in the config files for the source GCM data, Sup3rCC models, and exogenous data sources (e.g. the <code class="docutils literal notranslate"><span class="pre">nsrdb_clearsky.h5</span></code> file).</p></li>
+<li><p>Update the execution control parameters in the <code class="docutils literal notranslate"><span class="pre">config_fwp.json</span></code> file based on the hardware you’re running on.</p></li>
+<li><p>You can either run <code class="docutils literal notranslate"><span class="pre">sup3r-batch</span></code> to setup multiple run years, or <code class="docutils literal notranslate"><span class="pre">sup3r-pipeline</span></code> to run just one job. We recommend starting with <code class="docutils literal notranslate"><span class="pre">sup3r-pipeline</span></code> (more on the sup3r <a class="reference external" href="https://nrel.github.io/sup3r/_cli/sup3r.html">CLI</a>).</p></li>
+<li><p>To run <code class="docutils literal notranslate"><span class="pre">sup3r-pipeline</span></code>, make sure you are in the directory with the <code class="docutils literal notranslate"><span class="pre">config_pipeline.json</span></code> and <code class="docutils literal notranslate"><span class="pre">config_fwp.json</span></code> files, and then run this command: <code class="docutils literal notranslate"><span class="pre">python</span> <span class="pre">-m</span> <span class="pre">sup3r.cli</span> <span class="pre">-c</span> <span class="pre">config_pipeline.json</span> <span class="pre">pipeline</span></code></p></li>
+<li><p>If you’re running on a slurm cluster, this will kick off a number of jobs that you can see with the <code class="docutils literal notranslate"><span class="pre">squeue</span></code> command. If you’re running locally, your terminal should now be running the Sup3rCC models. The software will create a <code class="docutils literal notranslate"><span class="pre">./logs/</span></code> directory in which you can monitor the progress of your jobs.</p></li>
+<li><p>The <code class="docutils literal notranslate"><span class="pre">sup3r-pipeline</span></code> is designed to run several modules in serial, with each module running multiple chunks in parallel. Once the first module (forward-pass) finishes, you’ll want to run <code class="docutils literal notranslate"><span class="pre">python</span> <span class="pre">-m</span> <span class="pre">sup3r.cli</span> <span class="pre">-c</span> <span class="pre">config_pipeline.json</span> <span class="pre">pipeline</span></code> again. This will clean up status files and kick off the next step in the pipeline (if the current step was successful).</p></li>
+</ol>
+</section>
+<section id="nuances-of-sup3rcc">
+<h2>Nuances of Sup3rCC<a class="headerlink" href="#nuances-of-sup3rcc" title="Link to this heading">#</a></h2>
+<p>The Sup3rCC dataset is quite unlike the legacy NREL historical wind and solar datasets. As such, we expect there will be some confusion about how to use the data. There are some nuances of the data enumerated below. If you have any questions about how to apply the Sup3rCC data to your work, please reach out to Grant Buster (<a class="reference external" href="mailto:Grant&#46;Buster&#37;&#52;&#48;nrel&#46;gov">Grant<span>&#46;</span>Buster<span>&#64;</span>nrel<span>&#46;</span>gov</a>).</p>
+<ol class="arabic simple">
+<li><p>Sup3rCC data is based on global climate model (GCM) data, which does not represent historical weather, only historical climate. So for example, Sup3rCC 2015 does not represent the actual historical weather in 2015, just the historical climate in 2015.</p></li>
+<li><p>The GCM data was bias-corrected using the NSRDB and WTK data. GCM irradiance, temperature, and humidity are bias corrected using the NSRDB for the years 2015-2021. GCM windspeeds from 2015-2021 are bias corrected using the WTK from 2007-2013 (we don’t currently have modern years of high-resolution wind data). Note that temperature and humidity from the NSRDB are actually originally sourced from MERRA2, a reanalysis product. Additional bias may still exist in the high-resolution outputs and a secondary bias correction step may be valuable in downstream applications</p></li>
+<li><p>Sup3rCC data represents just one possible future climate subject to deep uncertainties. Do not use the Sup3rCC data as an accurate prediction of future weather. Some uncertanties about our future climate can be quantified by exploring a large ensemble of GCM data across multiple climate scenarios and multiple models.</p></li>
+<li><p>Sup3rCC cannot represent many meteorological events that are not skillfully represented in GCM data (e.g., hurricanes, tornadoes, mesoscale convective storms, wildfires, etc…).</p></li>
+<li><p>Sup3rCC does not currently use land use data and only understands phenomena like urban heat islands via the bias correction of the GCM data with historical reanalysis data. Application of Sup3rCC to individual cities may benefit from statistical validation using historical ground measurement data.</p></li>
+</ol>
+</section>
+<section id="sup3rcc-versions">
+<h2>Sup3rCC Versions<a class="headerlink" href="#sup3rcc-versions" title="Link to this heading">#</a></h2>
+<p>The Sup3rCC data has versions that coincide with the sup3r software versions. Note that not every sup3r software version will have a corresponding Sup3rCC data release, but every Sup3rCC data release will have a corresponding sup3r software version. This table records versions of Sup3rCC data releases. Sup3rCC generative models may have slightly different versions than the data. The version in the Sup3rCC .h5 file attribute can be inspected to verify the actual version of the data you are using.</p>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Version</p></th>
+<th class="head"><p>Effective Date</p></th>
+<th class="head"><p>Notes</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>0.1.0</p></td>
+<td><p>6/27/2023</p></td>
+<td><p>Initial Sup3rCC release with two GCMs and one climate scenario. Known issues: few years used for bias correction, simplistic GCM bias correction method, mean bias in high-res output especially in wind and solar data, imperfect wind diurnal cycles when compared to WTK and timing of diurnal peak temperature when compared to observation.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="recommended-citation">
+<h2>Recommended Citation<a class="headerlink" href="#recommended-citation" title="Link to this heading">#</a></h2>
+<p>Buster, G., Benton, B.N., Glaws, A. et al. High-resolution meteorology with climate change impacts from global climate model data using generative machine learning. Nature Energy (2024). <a class="reference external" href="https://doi.org/10.1038/s41560-024-01507-9">https://doi.org/10.1038/s41560-024-01507-9</a></p>
+<p>Buster, Grant, Benton, Brandon, Glaws, Andrew, &amp; King, Ryan. Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC). United States. <a class="reference external" href="https://dx.doi.org/10.25984/1970814">https://dx.doi.org/10.25984/1970814</a>. <a class="reference external" href="https://data.openei.org/submissions/5839">https://data.openei.org/submissions/5839</a>.</p>
+</section>
+<section id="acknowledgements">
+<h2>Acknowledgements<a class="headerlink" href="#acknowledgements" title="Link to this heading">#</a></h2>
+<p>This work was authored by the National Renewable Energy Laboratory, operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. Funding provided by the DOE Grid Deployment Office (GDO), the DOE Advanced Scientific Computing Research (ASCR) program, the DOE Solar Energy Technologies Office (SETO), and the Laboratory Directed Research and Development (LDRD) program at the National Renewable Energy Laboratory. The research was performed using computational resources sponsored by the DOE Office of Energy Efficiency and Renewable Energy and located at the National Renewable Energy Laboratory. The views expressed in the article do not necessarily represent the views of the DOE or the U.S. Government. The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for U.S. Government purposes.</p>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#directory-structure">Directory Structure</a></li>
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+    <h1>Sup3rWind Examples</h1>
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+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3rwind-data-access">Sup3rWind Data Access</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#example-sup3rwind-data-usage">Example Sup3rWind Data Usage</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#running-sup3rwind-models">Running Sup3rWind Models</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#sup3rwind-versions">Sup3rWind Versions</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#recommended-citation">Recommended Citation</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#acknowledgements">Acknowledgements</a></li>
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+  <section id="sup3rwind-examples">
+<h1>Sup3rWind Examples<a class="headerlink" href="#sup3rwind-examples" title="Link to this heading">#</a></h1>
+<p>Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis Data (Sup3rWind) is one application of the sup3r software. In this work, we train generative models to create high-resolution (2km 5-minute) wind data based on coarse (30km hourly) ERA5 data. The generative models and high-resolution output data is publicly available via the <a class="reference external" href="https://data.openei.org/s3_viewer?bucket=nrel-pds-wtk&amp;prefix=sup3rwind%2F">Open Energy Data Initiative (OEDI)</a> and via HSDS at the bucket <code class="docutils literal notranslate"><span class="pre">nrel-pds-hsds</span></code> and path <code class="docutils literal notranslate"><span class="pre">/nrel/wtk/sup3rwind</span></code>. This data covers recent historical time periods for an expanding selection of countries.</p>
+<section id="sup3rwind-data-access">
+<h2>Sup3rWind Data Access<a class="headerlink" href="#sup3rwind-data-access" title="Link to this heading">#</a></h2>
+<p>The Sup3rWind data and models are publicly available in a public AWS S3 bucket. The data files can be downloaded directly from there to your local machine or an EC2 instance using the <a class="reference external" href="https://data.openei.org/s3_viewer?bucket=nrel-pds-wtk&amp;prefix=sup3rwind%2F">OEDI data explorer</a> or the <a class="reference external" href="https://aws.amazon.com/cli/">AWS CLI</a>. A word of caution: there’s a lot of data here. The smallest Sup3rWind file for just a single variable at 2-km 5-minute resolution is 130 GB.</p>
+<p>The Sup3rWind data is also loaded into <a class="reference external" href="https://www.hdfgroup.org/solutions/highly-scalable-data-service-hsds/">HSDS</a> so that you may stream the data via the <a class="reference external" href="https://developer.nrel.gov/signup/">NREL developer API</a> or your own HSDS server. This is the best option if you’re not going to want a full annual dataset. See these <a class="reference external" href="https://nrel.github.io/rex/misc/examples.hsds.html">rex instructions</a> for more details on how to access this data with HSDS and rex.</p>
+</section>
+<section id="example-sup3rwind-data-usage">
+<h2>Example Sup3rWind Data Usage<a class="headerlink" href="#example-sup3rwind-data-usage" title="Link to this heading">#</a></h2>
+<p>Sup3rWind data can be used in generally the same way as <a class="reference external" href="https://nrel.github.io/sup3r/examples/sup3rcc.html">Sup3rCC</a> data, with the condition that Sup3rWind includes only wind data and ancillary variables for modeling wind energy generation. Refer to the Sup3rCC <a class="reference external" href="https://github.com/NREL/sup3r/tree/main/examples/sup3rcc/using_the_data.ipynb">example notebook</a> for usage patterns.</p>
+</section>
+<section id="running-sup3rwind-models">
+<h2>Running Sup3rWind Models<a class="headerlink" href="#running-sup3rwind-models" title="Link to this heading">#</a></h2>
+<p>The process for running the Sup3rWind models is much the same as for <a class="reference external" href="https://nrel.github.io/sup3r/examples/sup3rcc.html">Sup3rCC</a>.</p>
+<ol class="arabic simple">
+<li><p>Download the Sup3rWind models to your hardware using the AWS CLI: <code class="docutils literal notranslate"><span class="pre">$</span> <span class="pre">aws</span> <span class="pre">s3</span> <span class="pre">cp</span> <span class="pre">s3://nrel-pds-wtk/sup3rwind/models/</span></code></p></li>
+<li><p>Download the ERA5 data that you want to downscale from <a class="reference external" href="https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview/">ERA5-single-levels</a> and/or <a class="reference external" href="https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-pressure-levels?tab=overview/">ERA5-pressure-levels</a>.</p></li>
+<li><p>Setup the Sup3rWind software. We recommend using <a class="reference external" href="https://docs.conda.io/en/latest/miniconda.html">miniconda</a> to manage your python environments. You can create a sup3r environment with the conda file in this example directory: <code class="docutils literal notranslate"><span class="pre">$</span> <span class="pre">conda</span> <span class="pre">env</span> <span class="pre">create</span> <span class="pre">-n</span> <span class="pre">sup3rwind</span> <span class="pre">--file</span> <span class="pre">env.yml</span></code></p></li>
+<li><p>Copy this examples directory to your hardware. You’re going to be using the folder structure in <code class="docutils literal notranslate"><span class="pre">/sup3r/examples/sup3rwind/run_configs</span></code> as your project directories (<code class="docutils literal notranslate"><span class="pre">/sup3r/</span></code> is a git clone of the sup3r software repo).</p></li>
+<li><p>Navigate to <code class="docutils literal notranslate"><span class="pre">/sup3r/examples/sup3rwind/run_configs/wind/</span></code> and/or <code class="docutils literal notranslate"><span class="pre">sup3r/examples/sup3rwind/run_configs/trhp</span></code> and update all of the filepaths in the config files for the source ERA5 data, Sup3rWind models, and exogenous data sources (e.g. the <code class="docutils literal notranslate"><span class="pre">topography</span></code> source file).</p></li>
+<li><p>Update the execution control parameters in the <code class="docutils literal notranslate"><span class="pre">config_fwp_spatial.json</span></code> file based on the hardware you’re running on.</p></li>
+<li><p>Run <code class="docutils literal notranslate"><span class="pre">sup3r-pipeline</span></code> to run just one job. There are also batch options for running multiple jobs, but we recommend starting with <code class="docutils literal notranslate"><span class="pre">sup3r-pipeline</span></code> (more on the sup3r <a class="reference external" href="https://nrel.github.io/sup3r/_cli/sup3r.html">CLI</a>).</p></li>
+<li><p>To run <code class="docutils literal notranslate"><span class="pre">sup3r-pipeline</span></code>, make sure you are in the directory with the <code class="docutils literal notranslate"><span class="pre">config_pipeline.json</span></code> and <code class="docutils literal notranslate"><span class="pre">config_fwp_spatial.json</span></code> files, and then run this command: <code class="docutils literal notranslate"><span class="pre">python</span> <span class="pre">-m</span> <span class="pre">sup3r.cli</span> <span class="pre">-c</span> <span class="pre">config_pipeline.json</span> <span class="pre">pipeline</span></code></p></li>
+<li><p>If you’re running on a slurm cluster, this will kick off a number of jobs that you can see with the <code class="docutils literal notranslate"><span class="pre">squeue</span></code> command. If you’re running locally, your terminal should now be running the Sup3rWind models. The software will create a <code class="docutils literal notranslate"><span class="pre">./logs/</span></code> directory in which you can monitor the progress of your jobs.</p></li>
+<li><p>The <code class="docutils literal notranslate"><span class="pre">sup3r-pipeline</span></code> is designed to run several modules in serial, with each module running multiple chunks in parallel. Once the first module (forward-pass) finishes, you’ll want to run <code class="docutils literal notranslate"><span class="pre">python</span> <span class="pre">-m</span> <span class="pre">sup3r.cli</span> <span class="pre">-c</span> <span class="pre">config_pipeline.json</span> <span class="pre">pipeline</span></code> again. This will clean up status files and kick off the next step in the pipeline (if the current step was successful).</p></li>
+</ol>
+</section>
+<section id="sup3rwind-versions">
+<h2>Sup3rWind Versions<a class="headerlink" href="#sup3rwind-versions" title="Link to this heading">#</a></h2>
+<p>The Sup3rWind data has versions that coincide with the sup3r software versions. Note that not every sup3r software version will have a corresponding Sup3rWind data release, but every Sup3rWind data release will have a corresponding sup3r software version.</p>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>Version</p></th>
+<th class="head"><p>Effective Date</p></th>
+<th class="head"><p>Notes</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>0.1.2</p></td>
+<td><p>3/15/2024</p></td>
+<td><p>Initial release of Sup3rWind for Ukraine, Moldova, and part of Romania. Includes 2-km 5-minute wind speed and wind direction data and 2-km hourly wind speed, wind direction, pressure, temperature, and relative humidity data for 2000-2023.</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<section id="recommended-citation">
+<h2>Recommended Citation<a class="headerlink" href="#recommended-citation" title="Link to this heading">#</a></h2>
+<p>Benton, B. N., Buster, G., Pinchuk, P., Glaws, A., King, R. N., Maclaurin, G., &amp; Chernyakhovskiy, I. (2024). Super Resolution for Renewable Energy Resource Data With Wind From Reanalysis Data (Sup3rWind) and Application to Ukraine. arXiv preprint arXiv:2407.19086.</p>
+</section>
+<section id="acknowledgements">
+<h2>Acknowledgements<a class="headerlink" href="#acknowledgements" title="Link to this heading">#</a></h2>
+<p>This work was authored by the National Renewable Energy Laboratory, operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. Funding provided by the DOE Grid Deployment Office (GDO), the DOE Advanced Scientific Computing Research (ASCR) program, the DOE Solar Energy Technologies Office (SETO), and the Laboratory Directed Research and Development (LDRD) program at the National Renewable Energy Laboratory. The research was performed using computational resources sponsored by the DOE Office of Energy Efficiency and Renewable Energy and located at the National Renewable Energy Laboratory. The views expressed in the article do not necessarily represent the views of the DOE or the U.S. Government. The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for U.S. Government purposes.</p>
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+<li class="toctree-l4"><a class="reference internal" href="_autosummary/sup3r.utilities.loss_metrics.MmdMseLoss.html">sup3r.utilities.loss_metrics.MmdMseLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="_autosummary/sup3r.utilities.loss_metrics.MseExpLoss.html">sup3r.utilities.loss_metrics.MseExpLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesLoss.html">sup3r.utilities.loss_metrics.SpatialExtremesLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.html">sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="_autosummary/sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.html">sup3r.utilities.loss_metrics.SpatialFftOnlyLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.html">sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.html">sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="_autosummary/sup3r.utilities.loss_metrics.StExtremesFftLoss.html">sup3r.utilities.loss_metrics.StExtremesFftLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesLoss.html">sup3r.utilities.loss_metrics.TemporalExtremesLoss</a></li>
+<li class="toctree-l4"><a class="reference internal" href="_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.html">sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3 has-children"><a class="reference internal" href="_autosummary/sup3r.utilities.pytest.html">sup3r.utilities.pytest</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="_autosummary/sup3r.utilities.pytest.helpers.html">sup3r.utilities.pytest.helpers</a></li>
+</ul>
+</details></li>
+<li class="toctree-l3 has-children"><a class="reference internal" href="_autosummary/sup3r.utilities.utilities.html">sup3r.utilities.utilities</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l4"><a class="reference internal" href="_autosummary/sup3r.utilities.utilities.generate_random_string.html">sup3r.utilities.utilities.generate_random_string</a></li>
+<li class="toctree-l4"><a class="reference internal" href="_autosummary/sup3r.utilities.utilities.nn_fill_array.html">sup3r.utilities.utilities.nn_fill_array</a></li>
+<li class="toctree-l4"><a class="reference internal" href="_autosummary/sup3r.utilities.utilities.pd_date_range.html">sup3r.utilities.utilities.pd_date_range</a></li>
+<li class="toctree-l4"><a class="reference internal" href="_autosummary/sup3r.utilities.utilities.preprocess_datasets.html">sup3r.utilities.utilities.preprocess_datasets</a></li>
+<li class="toctree-l4"><a class="reference internal" href="_autosummary/sup3r.utilities.utilities.safe_cast.html">sup3r.utilities.utilities.safe_cast</a></li>
+<li class="toctree-l4"><a class="reference internal" href="_autosummary/sup3r.utilities.utilities.safe_serialize.html">sup3r.utilities.utilities.safe_serialize</a></li>
+<li class="toctree-l4"><a class="reference internal" href="_autosummary/sup3r.utilities.utilities.spatial_coarsening.html">sup3r.utilities.utilities.spatial_coarsening</a></li>
+<li class="toctree-l4"><a class="reference internal" href="_autosummary/sup3r.utilities.utilities.temporal_coarsening.html">sup3r.utilities.utilities.temporal_coarsening</a></li>
+<li class="toctree-l4"><a class="reference internal" href="_autosummary/sup3r.utilities.utilities.xr_open_mfdataset.html">sup3r.utilities.utilities.xr_open_mfdataset</a></li>
+<li class="toctree-l4"><a class="reference internal" href="_autosummary/sup3r.utilities.utilities.Timer.html">sup3r.utilities.utilities.Timer</a></li>
+</ul>
+</details></li>
+</ul>
+</details></li>
+</ul>
+</details></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="_cli/cli.html">CLI reference</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l2"><a class="reference internal" href="_cli/sup3r.html">sup3r</a></li>
+</ul>
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+ 
+</div>
+<h2 id="Symbols">Symbols</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li>
+    --background
+
+      <ul>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-pipeline-background">sup3r-pipeline command line option</a>
+</li>
+      </ul></li>
+      <li>
+    --cancel
+
+      <ul>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-batch-cancel">sup3r-batch command line option</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-pipeline-cancel">sup3r-pipeline command line option</a>
+</li>
+      </ul></li>
+      <li>
+    --config_file
+
+      <ul>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-c">sup3r command line option</a>
+</li>
+      </ul></li>
+      <li>
+    --delete
+
+      <ul>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-batch-delete">sup3r-batch command line option</a>
+</li>
+      </ul></li>
+      <li>
+    --dry-run
+
+      <ul>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-batch-dry-run">sup3r-batch command line option</a>
+</li>
+      </ul></li>
+      <li>
+    --monitor
+
+      <ul>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-pipeline-monitor">sup3r-pipeline command line option</a>
+</li>
+      </ul></li>
+      <li>
+    --monitor-background
+
+      <ul>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-batch-monitor-background">sup3r-batch command line option</a>
+</li>
+      </ul></li>
+      <li>
+    --verbose
+
+      <ul>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-v">sup3r command line option</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-batch-v">sup3r-batch command line option</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-bias-calc-v">sup3r-bias-calc command line option</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-data-collect-v">sup3r-data-collect command line option</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-forward-pass-v">sup3r-forward-pass command line option</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-pipeline-v">sup3r-pipeline command line option</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-qa-v">sup3r-qa command line option</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-solar-v">sup3r-solar command line option</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li>
+    --version
+
+      <ul>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-version">sup3r command line option</a>
+</li>
+      </ul></li>
+      <li>
+    -c
+
+      <ul>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-c">sup3r command line option</a>
+</li>
+      </ul></li>
+      <li>
+    -v
+
+      <ul>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-v">sup3r command line option</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-batch-v">sup3r-batch command line option</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-bias-calc-v">sup3r-bias-calc command line option</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-data-collect-v">sup3r-data-collect command line option</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-forward-pass-v">sup3r-forward-pass command line option</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-pipeline-v">sup3r-pipeline command line option</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-qa-v">sup3r-qa command line option</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-solar-v">sup3r-solar command line option</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="_">_</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.__add__">__add__() (AbstractBatchQueue.Batch method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.__add__">(BatchHandler.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.__add__">(BatchHandlerCC.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.__add__">(BatchHandlerDC.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.__add__">(BatchHandlerMom1.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.__add__">(BatchHandlerMom1.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.__add__">(BatchHandlerMom1SF.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.__add__">(BatchHandlerMom1SF.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.__add__">(BatchHandlerMom2.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.__add__">(BatchHandlerMom2.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.__add__">(BatchHandlerMom2Sep.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.__add__">(BatchHandlerMom2Sep.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.__add__">(BatchHandlerMom2SepSF.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.__add__">(BatchHandlerMom2SepSF.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.__add__">(BatchHandlerTesterCC.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.__add__">(BatchHandlerTesterDC.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.__add__">(BatchQueueDC.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.__add__">(ConditionalBatchQueue.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.__add__">(ConditionalBatchQueue.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.__add__">(Dimension method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.__add__">(DualBatchHandler.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.__add__">(DualBatchQueue.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.__add__">(ModuleName method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.__add__">(QueueMom1.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.__add__">(QueueMom1.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.__add__">(QueueMom1SF.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.__add__">(QueueMom1SF.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.__add__">(QueueMom2.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.__add__">(QueueMom2.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.__add__">(QueueMom2Sep.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.__add__">(QueueMom2Sep.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.__add__">(QueueMom2SepSF.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.__add__">(QueueMom2SepSF.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.__add__">(QueueMom2SF.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.__add__">(QueueMom2SF.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.__add__">(SingleBatchQueue.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.__add__">(ValBatchQueueDC.Batch method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.loss_metrics.CoarseMseLoss.html#sup3r.utilities.loss_metrics.CoarseMseLoss.__call__">__call__() (CoarseMseLoss method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.ExpLoss.html#sup3r.utilities.loss_metrics.ExpLoss.__call__">(ExpLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.LowResLoss.html#sup3r.utilities.loss_metrics.LowResLoss.__call__">(LowResLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.MaterialDerivativeLoss.html#sup3r.utilities.loss_metrics.MaterialDerivativeLoss.__call__">(MaterialDerivativeLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.MmdLoss.html#sup3r.utilities.loss_metrics.MmdLoss.__call__">(MmdLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.MmdMseLoss.html#sup3r.utilities.loss_metrics.MmdMseLoss.__call__">(MmdMseLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.MseExpLoss.html#sup3r.utilities.loss_metrics.MseExpLoss.__call__">(MseExpLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesLoss.html#sup3r.utilities.loss_metrics.SpatialExtremesLoss.__call__">(SpatialExtremesLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.html#sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.__call__">(SpatialExtremesOnlyLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.html#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.__call__">(SpatialFftOnlyLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.html#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.__call__">(SpatiotemporalExtremesLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.html#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.__call__">(SpatiotemporalFftOnlyLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.StExtremesFftLoss.html#sup3r.utilities.loss_metrics.StExtremesFftLoss.__call__">(StExtremesFftLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.base.Sup3rMeta.html#sup3r.preprocessing.base.Sup3rMeta.__call__">(Sup3rMeta method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesLoss.html#sup3r.utilities.loss_metrics.TemporalExtremesLoss.__call__">(TemporalExtremesLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.html#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.__call__">(TemporalExtremesOnlyLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.utilities.Timer.html#sup3r.utilities.utilities.Timer.__call__">(Timer method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.__mul__">__mul__() (AbstractBatchQueue.Batch method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.__mul__">(BatchHandler.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.__mul__">(BatchHandlerCC.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.__mul__">(BatchHandlerDC.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.__mul__">(BatchHandlerMom1.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.__mul__">(BatchHandlerMom1.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.__mul__">(BatchHandlerMom1SF.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.__mul__">(BatchHandlerMom1SF.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.__mul__">(BatchHandlerMom2.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.__mul__">(BatchHandlerMom2.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.__mul__">(BatchHandlerMom2Sep.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.__mul__">(BatchHandlerMom2Sep.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.__mul__">(BatchHandlerMom2SepSF.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.__mul__">(BatchHandlerMom2SepSF.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.__mul__">(BatchHandlerTesterCC.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.__mul__">(BatchHandlerTesterDC.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.__mul__">(BatchQueueDC.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.__mul__">(ConditionalBatchQueue.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.__mul__">(ConditionalBatchQueue.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.__mul__">(Dimension method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.__mul__">(DualBatchHandler.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.__mul__">(DualBatchQueue.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.__mul__">(ModuleName method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.__mul__">(QueueMom1.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.__mul__">(QueueMom1.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.__mul__">(QueueMom1SF.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.__mul__">(QueueMom1SF.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.__mul__">(QueueMom2.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.__mul__">(QueueMom2.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.__mul__">(QueueMom2Sep.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.__mul__">(QueueMom2Sep.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.__mul__">(QueueMom2SepSF.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.__mul__">(QueueMom2SepSF.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.__mul__">(QueueMom2SF.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.__mul__">(QueueMom2SF.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.__mul__">(SingleBatchQueue.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.__mul__">(Sup3rX method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.__mul__">(ValBatchQueueDC.Batch method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="A">A</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue">AbstractBatchQueue (class in sup3r.preprocessing.batch_queues.abstract)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch">AbstractBatchQueue.Batch (class in sup3r.preprocessing.batch_queues.abstract)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface">AbstractInterface (class in sup3r.models.abstract)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel">AbstractSingleModel (class in sup3r.models.abstract)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.cachers.base.Cacher.html#sup3r.preprocessing.cachers.base.Cacher.add_coord_meta">add_coord_meta() (Cacher class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.add_dataset">add_dataset() (RexOutputs class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.add_dims_to_data_vars">add_dims_to_data_vars() (Sup3rX method)</a>
+</li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.add_pressure">add_pressure() (EraDownloader method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.cli.BaseCLI.html#sup3r.utilities.cli.BaseCLI.add_status_cmd">add_status_cmd() (BaseCLI class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.adders">adders (RexOutputs property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.all_names">all_names() (ModuleName class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.all_vars_exist">all_vars_exist() (EraDownloader class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.as_array">as_array() (Sup3rX method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.assign">assign() (Sup3rX method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.attrs">attrs (RexOutputs property)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="B">B</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.BASE_LOADER">BASE_LOADER (DataHandlerH5SolarCC attribute)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.BASE_LOADER">(DataHandlerH5WindCC attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.h5.LoaderH5.html#sup3r.preprocessing.loaders.h5.LoaderH5.BASE_LOADER">(LoaderH5 attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.loaders.base.BaseLoader.html#sup3r.preprocessing.loaders.base.BaseLoader.BASE_LOADER">BASE_LOADER() (BaseLoader method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.nc.LoaderNC.html#sup3r.preprocessing.loaders.nc.LoaderNC.BASE_LOADER">(LoaderNC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.cli.BaseCLI.html#sup3r.utilities.cli.BaseCLI">BaseCLI (class in sup3r.utilities.cli)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.collectors.base.BaseCollector.html#sup3r.postprocessing.collectors.base.BaseCollector">BaseCollector (class in sup3r.postprocessing.collectors.base)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver">BaseDeriver (class in sup3r.preprocessing.derivers.base)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer">BaseExoRasterizer (class in sup3r.preprocessing.rasterizers.exo)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.loaders.base.BaseLoader.html#sup3r.preprocessing.loaders.base.BaseLoader">BaseLoader (class in sup3r.preprocessing.loaders.base)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.base.BaseRasterizer.html#sup3r.preprocessing.rasterizers.base.BaseRasterizer">BaseRasterizer (class in sup3r.preprocessing.rasterizers.base)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler">BatchHandler (class in sup3r.preprocessing.batch_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch">BatchHandler.Batch (class in sup3r.preprocessing.batch_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC">BatchHandlerCC (class in sup3r.preprocessing.batch_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch">BatchHandlerCC.Batch (class in sup3r.preprocessing.batch_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC">BatchHandlerDC (class in sup3r.preprocessing.batch_handlers.dc)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch">BatchHandlerDC.Batch (class in sup3r.preprocessing.batch_handlers.dc)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerFactory.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerFactory">BatchHandlerFactory() (in module sup3r.preprocessing.batch_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1">BatchHandlerMom1 (class in sup3r.preprocessing.batch_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch">BatchHandlerMom1.Batch (class in sup3r.preprocessing.batch_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch">BatchHandlerMom1.ConditionalBatch (class in sup3r.preprocessing.batch_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF">BatchHandlerMom1SF (class in sup3r.preprocessing.batch_handlers.factory)</a>
+</li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch">BatchHandlerMom1SF.Batch (class in sup3r.preprocessing.batch_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch">BatchHandlerMom1SF.ConditionalBatch (class in sup3r.preprocessing.batch_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2">BatchHandlerMom2 (class in sup3r.preprocessing.batch_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch">BatchHandlerMom2.Batch (class in sup3r.preprocessing.batch_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch">BatchHandlerMom2.ConditionalBatch (class in sup3r.preprocessing.batch_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep">BatchHandlerMom2Sep (class in sup3r.preprocessing.batch_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch">BatchHandlerMom2Sep.Batch (class in sup3r.preprocessing.batch_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch">BatchHandlerMom2Sep.ConditionalBatch (class in sup3r.preprocessing.batch_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF">BatchHandlerMom2SepSF (class in sup3r.preprocessing.batch_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch">BatchHandlerMom2SepSF.Batch (class in sup3r.preprocessing.batch_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch">BatchHandlerMom2SepSF.ConditionalBatch (class in sup3r.preprocessing.batch_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SF">BatchHandlerMom2SF (in module sup3r.preprocessing.batch_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC">BatchHandlerTesterCC (class in sup3r.utilities.pytest.helpers)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch">BatchHandlerTesterCC.Batch (class in sup3r.utilities.pytest.helpers)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC">BatchHandlerTesterDC (class in sup3r.utilities.pytest.helpers)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch">BatchHandlerTesterDC.Batch (class in sup3r.utilities.pytest.helpers)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterFactory.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterFactory">BatchHandlerTesterFactory() (in module sup3r.utilities.pytest.helpers)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC">BatchQueueDC (class in sup3r.preprocessing.batch_queues.dc)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch">BatchQueueDC.Batch (class in sup3r.preprocessing.batch_queues.dc)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.utilities.bias_correct_feature.html#sup3r.bias.utilities.bias_correct_feature">bias_correct_feature() (in module sup3r.bias.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.utilities.bias_correct_features.html#sup3r.bias.utilities.bias_correct_features">bias_correct_features() (in module sup3r.bias.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.qa.qa.Sup3rQa.html#sup3r.qa.qa.Sup3rQa.bias_correct_input_handler">bias_correct_input_handler() (Sup3rQa method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.html#sup3r.bias.bias_calc_vortex.BiasCorrectUpdate">BiasCorrectUpdate (class in sup3r.bias.bias_calc_vortex)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="C">C</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.preprocessing.cachers.base.Cacher.html#sup3r.preprocessing.cachers.base.Cacher.cache_data">cache_data() (Cacher method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.cache_file">cache_file (BaseExoRasterizer property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.cache_file">(ExoRasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.cache_file">(ExoRasterizerH5 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.cache_file">(ExoRasterizerNC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.SzaRasterizer.html#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.cache_file">(SzaRasterizer property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.ExoDataHandler.html#sup3r.preprocessing.data_handlers.exo.ExoDataHandler.cache_files">cache_files (ExoDataHandler property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.cachers.base.Cacher.html#sup3r.preprocessing.cachers.base.Cacher">Cacher (class in sup3r.preprocessing.cachers.base)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat.calc_k_factor">calc_k_factor() (PresRat class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.calc_loss">calc_loss() (SolarCC method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.calc_loss">(Sup3rCondMom method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.calc_loss">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.calc_loss">(Sup3rGanDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.calc_loss_cond_mom">calc_loss_cond_mom() (Sup3rCondMom method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.calc_loss_disc">calc_loss_disc() (SolarCC static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.calc_loss_disc">(Sup3rGan static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.calc_loss_disc">(Sup3rGanDC static method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.calc_loss_gen_advers">calc_loss_gen_advers() (SolarCC static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.calc_loss_gen_advers">(Sup3rGan static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.calc_loss_gen_advers">(Sup3rGanDC static method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.calc_loss_gen_content">calc_loss_gen_content() (SolarCC method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.calc_loss_gen_content">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.calc_loss_gen_content">(Sup3rGanDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat.calc_tau_fut">calc_tau_fut() (PresRat class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.calc_val_loss">calc_val_loss() (SolarCC method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.calc_val_loss">(Sup3rCondMom method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.calc_val_loss">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.calc_val_loss">(Sup3rGanDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.calc_val_loss_gen">calc_val_loss_gen() (Sup3rGanDC method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.calc_val_loss_gen_content">calc_val_loss_gen_content() (Sup3rGanDC method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.loss_metrics.CoarseMseLoss.html#sup3r.utilities.loss_metrics.CoarseMseLoss.call">call() (CoarseMseLoss method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.ExpLoss.html#sup3r.utilities.loss_metrics.ExpLoss.call">(ExpLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.LowResLoss.html#sup3r.utilities.loss_metrics.LowResLoss.call">(LowResLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.MaterialDerivativeLoss.html#sup3r.utilities.loss_metrics.MaterialDerivativeLoss.call">(MaterialDerivativeLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.MmdLoss.html#sup3r.utilities.loss_metrics.MmdLoss.call">(MmdLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.MmdMseLoss.html#sup3r.utilities.loss_metrics.MmdMseLoss.call">(MmdMseLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.MseExpLoss.html#sup3r.utilities.loss_metrics.MseExpLoss.call">(MseExpLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesLoss.html#sup3r.utilities.loss_metrics.SpatialExtremesLoss.call">(SpatialExtremesLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.html#sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.call">(SpatialExtremesOnlyLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.html#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.call">(SpatialFftOnlyLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.html#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.call">(SpatiotemporalExtremesLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.html#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.call">(SpatiotemporalFftOnlyLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.StExtremesFftLoss.html#sup3r.utilities.loss_metrics.StExtremesFftLoss.call">(StExtremesFftLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesLoss.html#sup3r.utilities.loss_metrics.TemporalExtremesLoss.call">(TemporalExtremesLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.html#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.call">(TemporalExtremesOnlyLoss method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.capitalize">capitalize() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.capitalize">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.casefold">casefold() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.casefold">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.center">center() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.center">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.cli.SlurmManager.html#sup3r.utilities.cli.SlurmManager.change_qos">change_qos() (SlurmManager method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.check_batch_handler_attrs">check_batch_handler_attrs() (SolarCC static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.check_batch_handler_attrs">(Sup3rGan static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.check_batch_handler_attrs">(Sup3rGanDC static method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.check_enhancement_factors">check_enhancement_factors() (AbstractBatchQueue method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.check_enhancement_factors">(BatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.check_enhancement_factors">(BatchHandlerCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.check_enhancement_factors">(BatchHandlerDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.check_enhancement_factors">(BatchHandlerMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.check_enhancement_factors">(BatchHandlerMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.check_enhancement_factors">(BatchHandlerMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.check_enhancement_factors">(BatchHandlerMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.check_enhancement_factors">(BatchHandlerMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.check_enhancement_factors">(BatchHandlerTesterCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.check_enhancement_factors">(BatchHandlerTesterDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.check_enhancement_factors">(BatchQueueDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.check_enhancement_factors">(ConditionalBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.check_enhancement_factors">(DualBatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.check_enhancement_factors">(DualBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.check_enhancement_factors">(QueueMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.check_enhancement_factors">(QueueMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.check_enhancement_factors">(QueueMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.check_enhancement_factors">(QueueMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.check_enhancement_factors">(QueueMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.check_enhancement_factors">(QueueMom2SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.check_enhancement_factors">(SingleBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.check_enhancement_factors">(ValBatchQueueDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.check_features">check_features() (AbstractBatchQueue method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.check_features">(BatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.check_features">(BatchHandlerCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.check_features">(BatchHandlerDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.check_features">(BatchHandlerMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.check_features">(BatchHandlerMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.check_features">(BatchHandlerMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.check_features">(BatchHandlerMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.check_features">(BatchHandlerMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.check_features">(BatchHandlerTesterCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.check_features">(BatchHandlerTesterDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.check_features">(BatchQueueDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.check_features">(ConditionalBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.check_features">(DualBatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.check_features">(DualBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.check_features">(QueueMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.check_features">(QueueMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.check_features">(QueueMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.check_features">(QueueMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.check_features">(QueueMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.check_features">(QueueMom2SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.check_features">(SingleBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.check_features">(ValBatchQueueDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler.check_for_consistent_shapes">check_for_consistent_shapes() (DualSampler method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.html#sup3r.preprocessing.samplers.cc.DualSamplerCC.check_for_consistent_shapes">(DualSamplerCC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.cli.BaseCLI.html#sup3r.utilities.cli.BaseCLI.check_module_name">check_module_name() (BaseCLI class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver.check_registry">check_registry() (BaseDeriver method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DailyDataHandler.html#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.check_registry">(DailyDataHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandler.html#sup3r.preprocessing.data_handlers.factory.DataHandler.check_registry">(DataHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.check_registry">(DataHandlerH5SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.check_registry">(DataHandlerH5WindCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.check_registry">(DataHandlerNCforCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.check_registry">(DataHandlerNCforCCwithPowerLaw method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.base.Deriver.html#sup3r.preprocessing.derivers.base.Deriver.check_registry">(Deriver method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.dual.DualRasterizer.html#sup3r.preprocessing.rasterizers.dual.DualRasterizer.check_regridded_lr_data">check_regridded_lr_data() (DualRasterizer method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.check_shared_attr">check_shared_attr() (AbstractBatchQueue method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.check_shared_attr">(BatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.check_shared_attr">(BatchHandlerCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.check_shared_attr">(BatchHandlerDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.check_shared_attr">(BatchHandlerMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.check_shared_attr">(BatchHandlerMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.check_shared_attr">(BatchHandlerMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.check_shared_attr">(BatchHandlerMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.check_shared_attr">(BatchHandlerMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.check_shared_attr">(BatchHandlerTesterCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.check_shared_attr">(BatchHandlerTesterDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.check_shared_attr">(BatchQueueDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection.check_shared_attr">(Collection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.check_shared_attr">(ConditionalBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.check_shared_attr">(DualBatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.check_shared_attr">(DualBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.check_shared_attr">(QueueMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.check_shared_attr">(QueueMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.check_shared_attr">(QueueMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.check_shared_attr">(QueueMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.check_shared_attr">(QueueMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.check_shared_attr">(QueueMom2SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.check_shared_attr">(SingleBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.collections.stats.StatsCollection.html#sup3r.preprocessing.collections.stats.StatsCollection.check_shared_attr">(StatsCollection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.check_shared_attr">(ValBatchQueueDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.utilities.check_signatures.html#sup3r.preprocessing.utilities.check_signatures">check_signatures() (in module sup3r.preprocessing.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.cli.SlurmManager.html#sup3r.utilities.cli.SlurmManager.check_status">check_status() (SlurmManager method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.cli.SlurmManager.html#sup3r.utilities.cli.SlurmManager.check_status_using_job_id">check_status_using_job_id() (SlurmManager method)</a>
+</li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.base.BaseRasterizer.html#sup3r.preprocessing.rasterizers.base.BaseRasterizer.check_target_and_shape">check_target_and_shape() (BaseRasterizer method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer.check_target_and_shape">(Rasterizer method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.chunk_finished">chunk_finished() (ForwardPassStrategy method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.chunk_lookup">chunk_lookup (ForwardPassSlicer property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.chunk_masked">chunk_masked() (ForwardPassStrategy method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.chunks">chunks (RexOutputs property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.ExoData.html#sup3r.preprocessing.data_handlers.exo.ExoData.clear">clear() (ExoData method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.html#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.clear">(SingleExoDataStep method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.clearsky_ratio">clearsky_ratio (Solar property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.ClearSkyRatio.html#sup3r.preprocessing.derivers.methods.ClearSkyRatio">ClearSkyRatio (class in sup3r.preprocessing.derivers.methods)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.ClearSkyRatioCC.html#sup3r.preprocessing.derivers.methods.ClearSkyRatioCC">ClearSkyRatioCC (class in sup3r.preprocessing.derivers.methods)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.close">close() (RexOutputs method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.close">(Solar method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.qa.qa.Sup3rQa.html#sup3r.qa.qa.Sup3rQa.close">(Sup3rQa method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.cloud_mask">cloud_mask (Solar property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.CloudMask.html#sup3r.preprocessing.derivers.methods.CloudMask">CloudMask (class in sup3r.preprocessing.derivers.methods)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.loss_metrics.CoarseMseLoss.html#sup3r.utilities.loss_metrics.CoarseMseLoss">CoarseMseLoss (class in sup3r.utilities.loss_metrics)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.coarsen">coarsen() (Sup3rX method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.qa.qa.Sup3rQa.html#sup3r.qa.qa.Sup3rQa.coarsen_data">coarsen_data() (Sup3rQa method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.collectors.base.BaseCollector.html#sup3r.postprocessing.collectors.base.BaseCollector.collect">collect() (BaseCollector class method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5.collect">(CollectorH5 class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.collectors.nc.CollectorNC.html#sup3r.postprocessing.collectors.nc.CollectorNC.collect">(CollectorNC class method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5.collect_feature">collect_feature() (CollectorH5 method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection">Collection (class in sup3r.preprocessing.collections.base)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5">CollectorH5 (class in sup3r.postprocessing.collectors.h5)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.collectors.nc.CollectorNC.html#sup3r.postprocessing.collectors.nc.CollectorNC">CollectorNC (class in sup3r.postprocessing.collectors.nc)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.base.DataRetrievalBase.html#sup3r.bias.base.DataRetrievalBase.compare_dists">compare_dists() (DataRetrievalBase static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.LinearCorrection.html#sup3r.bias.bias_calc.LinearCorrection.compare_dists">(LinearCorrection static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyLinearCorrection.html#sup3r.bias.bias_calc.MonthlyLinearCorrection.compare_dists">(MonthlyLinearCorrection static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyScalarCorrection.html#sup3r.bias.bias_calc.MonthlyScalarCorrection.compare_dists">(MonthlyScalarCorrection static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat.compare_dists">(PresRat static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.html#sup3r.bias.qdm.QuantileDeltaMappingCorrection.compare_dists">(QuantileDeltaMappingCorrection static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.ScalarCorrection.html#sup3r.bias.bias_calc.ScalarCorrection.compare_dists">(ScalarCorrection static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.SkillAssessment.html#sup3r.bias.bias_calc.SkillAssessment.compare_dists">(SkillAssessment static method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.utilities.composite_info.html#sup3r.preprocessing.utilities.composite_info">composite_info() (in module sup3r.preprocessing.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.utilities.composite_sig.html#sup3r.preprocessing.utilities.composite_sig">composite_sig() (in module sup3r.preprocessing.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.ClearSkyRatio.html#sup3r.preprocessing.derivers.methods.ClearSkyRatio.compute">compute() (ClearSkyRatio class method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.ClearSkyRatioCC.html#sup3r.preprocessing.derivers.methods.ClearSkyRatioCC.compute">(ClearSkyRatioCC class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.CloudMask.html#sup3r.preprocessing.derivers.methods.CloudMask.compute">(CloudMask class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.DerivedFeature.html#sup3r.preprocessing.derivers.methods.DerivedFeature.compute">(DerivedFeature class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.PressureWRF.html#sup3r.preprocessing.derivers.methods.PressureWRF.compute">(PressureWRF class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset.compute">(Sup3rDataset method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.compute">(Sup3rX method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.SurfaceRH.html#sup3r.preprocessing.derivers.methods.SurfaceRH.compute">(SurfaceRH class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.Sza.html#sup3r.preprocessing.derivers.methods.Sza.compute">(Sza class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.Tas.html#sup3r.preprocessing.derivers.methods.Tas.compute">(Tas class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.TasMax.html#sup3r.preprocessing.derivers.methods.TasMax.compute">(TasMax class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.TasMin.html#sup3r.preprocessing.derivers.methods.TasMin.compute">(TasMin class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.TempNCforCC.html#sup3r.preprocessing.derivers.methods.TempNCforCC.compute">(TempNCforCC class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.USolar.html#sup3r.preprocessing.derivers.methods.USolar.compute">(USolar class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.UWind.html#sup3r.preprocessing.derivers.methods.UWind.compute">(UWind class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.UWindPowerLaw.html#sup3r.preprocessing.derivers.methods.UWindPowerLaw.compute">(UWindPowerLaw class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.VSolar.html#sup3r.preprocessing.derivers.methods.VSolar.compute">(VSolar class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.VWind.html#sup3r.preprocessing.derivers.methods.VWind.compute">(VWind class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.VWindPowerLaw.html#sup3r.preprocessing.derivers.methods.VWindPowerLaw.compute">(VWindPowerLaw class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.Winddirection.html#sup3r.preprocessing.derivers.methods.Winddirection.compute">(Winddirection class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.Windspeed.html#sup3r.preprocessing.derivers.methods.Windspeed.compute">(Windspeed class method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.utilities.compute_if_dask.html#sup3r.preprocessing.utilities.compute_if_dask">compute_if_dask() (in module sup3r.preprocessing.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue">ConditionalBatchQueue (class in sup3r.preprocessing.batch_queues.conditional)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch">ConditionalBatchQueue.Batch (class in sup3r.preprocessing.batch_queues.conditional)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch">ConditionalBatchQueue.ConditionalBatch (class in sup3r.preprocessing.batch_queues.conditional)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container">Container (class in sup3r.preprocessing.base)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.container_weights">container_weights (AbstractBatchQueue property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.container_weights">(BatchHandler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.container_weights">(BatchHandlerCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.container_weights">(BatchHandlerDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.container_weights">(BatchHandlerMom1 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.container_weights">(BatchHandlerMom1SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.container_weights">(BatchHandlerMom2 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.container_weights">(BatchHandlerMom2Sep property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.container_weights">(BatchHandlerMom2SepSF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.container_weights">(BatchHandlerTesterCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.container_weights">(BatchHandlerTesterDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.container_weights">(BatchQueueDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection.container_weights">(Collection property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.container_weights">(ConditionalBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.container_weights">(DualBatchHandler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.container_weights">(DualBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.container_weights">(QueueMom1 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.container_weights">(QueueMom1SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.container_weights">(QueueMom2 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.container_weights">(QueueMom2Sep property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.container_weights">(QueueMom2SepSF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.container_weights">(QueueMom2SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.container_weights">(SingleBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.collections.stats.StatsCollection.html#sup3r.preprocessing.collections.stats.StatsCollection.container_weights">(StatsCollection property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.container_weights">(ValBatchQueueDC property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.utilities.contains_ellipsis.html#sup3r.preprocessing.utilities.contains_ellipsis">contains_ellipsis() (in module sup3r.preprocessing.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.qa.utilities.continuous_dist.html#sup3r.qa.utilities.continuous_dist">continuous_dist() (in module sup3r.qa.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.convert_all_tifs">convert_all_tifs() (VortexMeanPrepper method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.convert_month_height_tif">convert_month_height_tif() (VortexMeanPrepper method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.convert_month_tif">convert_month_tif() (VortexMeanPrepper method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.convert_z">convert_z() (EraDownloader method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.coordinates">coordinates (RexOutputs property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.coords">coords (BaseExoRasterizer property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.coords">(ExoRasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.coords">(ExoRasterizerH5 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.coords">(ExoRasterizerNC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.SzaRasterizer.html#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.coords">(SzaRasterizer property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.coords_2d">coords_2d() (Dimension class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.coords_3d">coords_3d() (Dimension class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.coords_4d">coords_4d() (Dimension class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.coords_4d_pres">coords_4d_pres() (Dimension class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.ExoData.html#sup3r.preprocessing.data_handlers.exo.ExoData.copy">copy() (ExoData method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.html#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.copy">(SingleExoDataStep method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.count">count() (AbstractBatchQueue.Batch method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.count">(BatchHandler.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.count">(BatchHandlerCC.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.count">(BatchHandlerDC.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.count">(BatchHandlerMom1.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.count">(BatchHandlerMom1.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.count">(BatchHandlerMom1SF.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.count">(BatchHandlerMom1SF.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.count">(BatchHandlerMom2.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.count">(BatchHandlerMom2.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.count">(BatchHandlerMom2Sep.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.count">(BatchHandlerMom2Sep.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.count">(BatchHandlerMom2SepSF.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.count">(BatchHandlerMom2SepSF.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.count">(BatchHandlerTesterCC.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.count">(BatchHandlerTesterDC.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.count">(BatchQueueDC.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.count">(ConditionalBatchQueue.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.count">(ConditionalBatchQueue.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.count">(Dimension method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.count">(DualBatchHandler.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.count">(DualBatchQueue.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.count">(ModuleName method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.count">(QueueMom1.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.count">(QueueMom1.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.count">(QueueMom1SF.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.count">(QueueMom1SF.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.count">(QueueMom2.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.count">(QueueMom2.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.count">(QueueMom2Sep.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.count">(QueueMom2Sep.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.count">(QueueMom2SepSF.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.count">(QueueMom2SepSF.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.count">(QueueMom2SF.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.count">(QueueMom2SF.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.count">(SingleBatchQueue.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.count">(ValBatchQueueDC.Batch method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="D">D</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.preprocessing.samplers.utilities.daily_time_sampler.html#sup3r.preprocessing.samplers.utilities.daily_time_sampler">daily_time_sampler() (in module sup3r.preprocessing.samplers.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DailyDataHandler.html#sup3r.preprocessing.data_handlers.factory.DailyDataHandler">DailyDataHandler (class in sup3r.preprocessing.data_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.data">data (AbstractBatchQueue property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver.data">(BaseDeriver property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.data">(BaseExoRasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.base.BaseLoader.html#sup3r.preprocessing.loaders.base.BaseLoader.data">(BaseLoader property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.base.BaseRasterizer.html#sup3r.preprocessing.rasterizers.base.BaseRasterizer.data">(BaseRasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.data">(BatchHandler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.data">(BatchHandlerCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.data">(BatchHandlerDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.data">(BatchHandlerMom1 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.data">(BatchHandlerMom1SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.data">(BatchHandlerMom2 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.data">(BatchHandlerMom2Sep property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.data">(BatchHandlerMom2SepSF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.data">(BatchHandlerTesterCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.data">(BatchHandlerTesterDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.data">(BatchQueueDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.cachers.base.Cacher.html#sup3r.preprocessing.cachers.base.Cacher.data">(Cacher property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection.data">(Collection property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.data">(ConditionalBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container.data">(Container property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DailyDataHandler.html#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.data">(DailyDataHandler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandler.html#sup3r.preprocessing.data_handlers.factory.DataHandler.data">(DataHandler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.data">(DataHandlerH5SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.data">(DataHandlerH5WindCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.data">(DataHandlerNCforCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.data">(DataHandlerNCforCCwithPowerLaw property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.base.Deriver.html#sup3r.preprocessing.derivers.base.Deriver.data">(Deriver property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.data">(DualBatchHandler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.data">(DualBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.dual.DualRasterizer.html#sup3r.preprocessing.rasterizers.dual.DualRasterizer.data">(DualRasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler.data">(DualSampler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.html#sup3r.preprocessing.samplers.cc.DualSamplerCC.data">(DualSamplerCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.DummyData.html#sup3r.utilities.pytest.helpers.DummyData.data">(DummyData property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.DummySampler.html#sup3r.utilities.pytest.helpers.DummySampler.data">(DummySampler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.data">(ExoRasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.data">(ExoRasterizerH5 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.data">(ExoRasterizerNC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.h5.LoaderH5.html#sup3r.preprocessing.loaders.h5.LoaderH5.data">(LoaderH5 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.nc.LoaderNC.html#sup3r.preprocessing.loaders.nc.LoaderNC.data">(LoaderNC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.data">(QueueMom1 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.data">(QueueMom1SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.data">(QueueMom2 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.data">(QueueMom2Sep property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.data">(QueueMom2SepSF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.data">(QueueMom2SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer.data">(Rasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler.data">(Sampler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dc.SamplerDC.html#sup3r.preprocessing.samplers.dc.SamplerDC.data">(SamplerDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.SamplerTester.html#sup3r.utilities.pytest.helpers.SamplerTester.data">(SamplerTester property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.data">(SingleBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.collections.stats.StatsCollection.html#sup3r.preprocessing.collections.stats.StatsCollection.data">(StatsCollection property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.SzaRasterizer.html#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.data">(SzaRasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.data">(ValBatchQueueDC property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.data_version">data_version (RexOutputs property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandler.html#sup3r.preprocessing.data_handlers.factory.DataHandler">DataHandler (class in sup3r.preprocessing.data_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerFactory.html#sup3r.preprocessing.data_handlers.factory.DataHandlerFactory">DataHandlerFactory() (in module sup3r.preprocessing.data_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC">DataHandlerH5SolarCC (class in sup3r.preprocessing.data_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC">DataHandlerH5WindCC (class in sup3r.preprocessing.data_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC">DataHandlerNCforCC (class in sup3r.preprocessing.data_handlers.nc_cc)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw">DataHandlerNCforCCwithPowerLaw (class in sup3r.preprocessing.data_handlers.nc_cc)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.base.DataRetrievalBase.html#sup3r.bias.base.DataRetrievalBase">DataRetrievalBase (class in sup3r.bias.base)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.datasets">datasets (RexOutputs property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.days">days (EraDownloader property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver.derive">derive() (BaseDeriver method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DailyDataHandler.html#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.derive">(DailyDataHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandler.html#sup3r.preprocessing.data_handlers.factory.DataHandler.derive">(DataHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.derive">(DataHandlerH5SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.derive">(DataHandlerH5WindCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.derive">(DataHandlerNCforCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.derive">(DataHandlerNCforCCwithPowerLaw method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.base.Deriver.html#sup3r.preprocessing.derivers.base.Deriver.derive">(Deriver method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.DerivedFeature.html#sup3r.preprocessing.derivers.methods.DerivedFeature">DerivedFeature (class in sup3r.preprocessing.derivers.methods)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.base.Deriver.html#sup3r.preprocessing.derivers.base.Deriver">Deriver (class in sup3r.preprocessing.derivers.base)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.df_str_decode">df_str_decode() (RexOutputs static method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.dhi">dhi (Solar property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.dict_to_tensorboard">dict_to_tensorboard() (AbstractSingleModel method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.dict_to_tensorboard">(SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.dict_to_tensorboard">(Sup3rCondMom method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.dict_to_tensorboard">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.dict_to_tensorboard">(Sup3rGanDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.abstract.TensorboardMixIn.html#sup3r.models.abstract.TensorboardMixIn.dict_to_tensorboard">(TensorboardMixIn method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension">Dimension (class in sup3r.preprocessing.names)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.dims_2d">dims_2d() (Dimension class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.dims_3d">dims_3d() (Dimension class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.dims_3d_bc">dims_3d_bc() (Dimension class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.dims_4d">dims_4d() (Dimension class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.dims_4d_bc">dims_4d_bc() (Dimension class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.dims_4d_pres">dims_4d_pres() (Dimension class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.utilities.dims_array_tuple.html#sup3r.preprocessing.utilities.dims_array_tuple">dims_array_tuple() (in module sup3r.preprocessing.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.qa.utilities.direct_dist.html#sup3r.qa.utilities.direct_dist">direct_dist() (in module sup3r.qa.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.discriminate">discriminate() (SolarCC method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.discriminate">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.discriminate">(Sup3rGanDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.discriminator">discriminator (SolarCC property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.discriminator">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.discriminator">(Sup3rGanDC property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.discriminator_weights">discriminator_weights (SolarCC property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.discriminator_weights">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.discriminator_weights">(Sup3rGanDC property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.dist">dist (Solar property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.base.DataRetrievalBase.html#sup3r.bias.base.DataRetrievalBase.distance_upper_bound">distance_upper_bound (DataRetrievalBase property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.LinearCorrection.html#sup3r.bias.bias_calc.LinearCorrection.distance_upper_bound">(LinearCorrection property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyLinearCorrection.html#sup3r.bias.bias_calc.MonthlyLinearCorrection.distance_upper_bound">(MonthlyLinearCorrection property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyScalarCorrection.html#sup3r.bias.bias_calc.MonthlyScalarCorrection.distance_upper_bound">(MonthlyScalarCorrection property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat.distance_upper_bound">(PresRat property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.html#sup3r.bias.qdm.QuantileDeltaMappingCorrection.distance_upper_bound">(QuantileDeltaMappingCorrection property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.ScalarCorrection.html#sup3r.bias.bias_calc.ScalarCorrection.distance_upper_bound">(ScalarCorrection property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.SkillAssessment.html#sup3r.bias.bias_calc.SkillAssessment.distance_upper_bound">(SkillAssessment property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.dni">dni (Solar property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver.do_level_interpolation">do_level_interpolation() (BaseDeriver method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DailyDataHandler.html#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.do_level_interpolation">(DailyDataHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandler.html#sup3r.preprocessing.data_handlers.factory.DataHandler.do_level_interpolation">(DataHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.do_level_interpolation">(DataHandlerH5SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.do_level_interpolation">(DataHandlerH5WindCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.do_level_interpolation">(DataHandlerNCforCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.do_level_interpolation">(DataHandlerNCforCCwithPowerLaw method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.base.Deriver.html#sup3r.preprocessing.derivers.base.Deriver.do_level_interpolation">(Deriver method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.download_file">download_file() (EraDownloader class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.download_process_combine">download_process_combine() (EraDownloader method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.downscale_arr">downscale_arr() (SurfaceSpatialMetModel class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.downscale_pres">downscale_pres() (SurfaceSpatialMetModel method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.downscale_rh">downscale_rh() (SurfaceSpatialMetModel method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.downscale_temp">downscale_temp() (SurfaceSpatialMetModel method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.dsets">dsets (RexOutputs property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset.dtype">dtype (Sup3rDataset property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.dtype">(Sup3rX property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.dtypes">dtypes (RexOutputs property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler">DualBatchHandler (class in sup3r.preprocessing.batch_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch">DualBatchHandler.Batch (class in sup3r.preprocessing.batch_handlers.factory)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue">DualBatchQueue (class in sup3r.preprocessing.batch_queues.dual)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch">DualBatchQueue.Batch (class in sup3r.preprocessing.batch_queues.dual)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.dual.DualRasterizer.html#sup3r.preprocessing.rasterizers.dual.DualRasterizer">DualRasterizer (class in sup3r.preprocessing.rasterizers.dual)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler">DualSampler (class in sup3r.preprocessing.samplers.dual)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.html#sup3r.preprocessing.samplers.cc.DualSamplerCC">DualSamplerCC (class in sup3r.preprocessing.samplers.cc)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.pytest.helpers.DualSamplerTesterCC.html#sup3r.utilities.pytest.helpers.DualSamplerTesterCC">DualSamplerTesterCC (in module sup3r.utilities.pytest.helpers)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.pytest.helpers.DummyData.html#sup3r.utilities.pytest.helpers.DummyData">DummyData (class in sup3r.utilities.pytest.helpers)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.pytest.helpers.DummySampler.html#sup3r.utilities.pytest.helpers.DummySampler">DummySampler (class in sup3r.utilities.pytest.helpers)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="E">E</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.early_stop">early_stop() (AbstractSingleModel static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.early_stop">(SolarCC static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.early_stop">(Sup3rCondMom static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.early_stop">(Sup3rGan static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.early_stop">(Sup3rGanDC static method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.utilities.Timer.html#sup3r.utilities.utilities.Timer.elapsed">elapsed (Timer property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.utilities.Timer.html#sup3r.utilities.utilities.Timer.elapsed_str">elapsed_str (Timer property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.encode">encode() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.encode">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.endswith">endswith() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.endswith">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler.enforce_limits">enforce_limits() (OutputHandler static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.h5.OutputHandlerH5.html#sup3r.postprocessing.writers.h5.OutputHandlerH5.enforce_limits">(OutputHandlerH5 static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.nc.OutputHandlerNC.html#sup3r.postprocessing.writers.nc.OutputHandlerNC.enforce_limits">(OutputHandlerNC static method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.enqueue_batch">enqueue_batch() (AbstractBatchQueue method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.enqueue_batch">(BatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.enqueue_batch">(BatchHandlerCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.enqueue_batch">(BatchHandlerDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.enqueue_batch">(BatchHandlerMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.enqueue_batch">(BatchHandlerMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.enqueue_batch">(BatchHandlerMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.enqueue_batch">(BatchHandlerMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.enqueue_batch">(BatchHandlerMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.enqueue_batch">(BatchHandlerTesterCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.enqueue_batch">(BatchHandlerTesterDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.enqueue_batch">(BatchQueueDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.enqueue_batch">(ConditionalBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.enqueue_batch">(DualBatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.enqueue_batch">(DualBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.enqueue_batch">(QueueMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.enqueue_batch">(QueueMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.enqueue_batch">(QueueMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.enqueue_batch">(QueueMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.enqueue_batch">(QueueMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.enqueue_batch">(QueueMom2SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.enqueue_batch">(SingleBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.enqueue_batch">(ValBatchQueueDC method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.enqueue_batches">enqueue_batches() (AbstractBatchQueue method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.enqueue_batches">(BatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.enqueue_batches">(BatchHandlerCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.enqueue_batches">(BatchHandlerDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.enqueue_batches">(BatchHandlerMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.enqueue_batches">(BatchHandlerMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.enqueue_batches">(BatchHandlerMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.enqueue_batches">(BatchHandlerMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.enqueue_batches">(BatchHandlerMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.enqueue_batches">(BatchHandlerTesterCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.enqueue_batches">(BatchHandlerTesterDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.enqueue_batches">(BatchQueueDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.enqueue_batches">(ConditionalBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.enqueue_batches">(DualBatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.enqueue_batches">(DualBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.enqueue_batches">(QueueMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.enqueue_batches">(QueueMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.enqueue_batches">(QueueMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.enqueue_batches">(QueueMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.enqueue_batches">(QueueMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.enqueue_batches">(QueueMom2SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.enqueue_batches">(SingleBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.enqueue_batches">(ValBatchQueueDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader">EraDownloader (class in sup3r.utilities.era_downloader)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.ExoData.html#sup3r.preprocessing.data_handlers.exo.ExoData">ExoData (class in sup3r.preprocessing.data_handlers.exo)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.ExoDataHandler.html#sup3r.preprocessing.data_handlers.exo.ExoDataHandler">ExoDataHandler (class in sup3r.preprocessing.data_handlers.exo)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizer">ExoRasterizer (class in sup3r.preprocessing.rasterizers.exo)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5">ExoRasterizerH5 (class in sup3r.preprocessing.rasterizers.exo)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC">ExoRasterizerNC (class in sup3r.preprocessing.rasterizers.exo)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.utilities.expand_paths.html#sup3r.preprocessing.utilities.expand_paths">expand_paths() (in module sup3r.preprocessing.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.expandtabs">expandtabs() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.expandtabs">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.loss_metrics.ExpLoss.html#sup3r.utilities.loss_metrics.ExpLoss">ExpLoss (class in sup3r.utilities.loss_metrics)</a>
+</li>
+      <li><a href="_autosummary/sup3r.qa.qa.Sup3rQa.html#sup3r.qa.qa.Sup3rQa.export">export() (Sup3rQa method)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="F">F</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_other">feature_inds_other (SurfaceSpatialMetModel property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_pres">feature_inds_pres (SurfaceSpatialMetModel property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_rh">feature_inds_rh (SurfaceSpatialMetModel property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.feature_inds_temp">feature_inds_temp (SurfaceSpatialMetModel property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.features">features (AbstractBatchQueue property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.features">(BatchHandler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.features">(BatchHandlerCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.features">(BatchHandlerDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.features">(BatchHandlerMom1 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.features">(BatchHandlerMom1SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.features">(BatchHandlerMom2 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.features">(BatchHandlerMom2Sep property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.features">(BatchHandlerMom2SepSF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.features">(BatchHandlerTesterCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.features">(BatchHandlerTesterDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.features">(BatchQueueDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection.features">(Collection property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.features">(ConditionalBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.features">(DualBatchHandler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.features">(DualBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.features">(QueueMom1 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.features">(QueueMom1SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.features">(QueueMom2 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.features">(QueueMom2Sep property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.features">(QueueMom2SepSF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.features">(QueueMom2SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.features">(SingleBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.collections.stats.StatsCollection.html#sup3r.preprocessing.collections.stats.StatsCollection.features">(StatsCollection property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset.features">(Sup3rDataset property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.qa.qa.Sup3rQa.html#sup3r.qa.qa.Sup3rQa.features">(Sup3rQa property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.features">(Sup3rX property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.features">(ValBatchQueueDC property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.loaders.base.BaseLoader.html#sup3r.preprocessing.loaders.base.BaseLoader.file_paths">file_paths (BaseLoader property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.h5.LoaderH5.html#sup3r.preprocessing.loaders.h5.LoaderH5.file_paths">(LoaderH5 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.nc.LoaderNC.html#sup3r.preprocessing.loaders.nc.LoaderNC.file_paths">(LoaderNC property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.bias.mixins.FillAndSmoothMixin.html#sup3r.bias.mixins.FillAndSmoothMixin.fill_and_smooth">fill_and_smooth() (FillAndSmoothMixin method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.LinearCorrection.html#sup3r.bias.bias_calc.LinearCorrection.fill_and_smooth">(LinearCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyLinearCorrection.html#sup3r.bias.bias_calc.MonthlyLinearCorrection.fill_and_smooth">(MonthlyLinearCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyScalarCorrection.html#sup3r.bias.bias_calc.MonthlyScalarCorrection.fill_and_smooth">(MonthlyScalarCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat.fill_and_smooth">(PresRat method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.html#sup3r.bias.qdm.QuantileDeltaMappingCorrection.fill_and_smooth">(QuantileDeltaMappingCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.ScalarCorrection.html#sup3r.bias.bias_calc.ScalarCorrection.fill_and_smooth">(ScalarCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.SkillAssessment.html#sup3r.bias.bias_calc.SkillAssessment.fill_and_smooth">(SkillAssessment method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.bias.mixins.FillAndSmoothMixin.html#sup3r.bias.mixins.FillAndSmoothMixin">FillAndSmoothMixin (class in sup3r.bias.mixins)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.find">find() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.find">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.finish_epoch">finish_epoch() (AbstractSingleModel method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.finish_epoch">(SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.finish_epoch">(Sup3rCondMom method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.finish_epoch">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.finish_epoch">(Sup3rGanDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.fix_downscaled_bias">fix_downscaled_bias() (SurfaceSpatialMetModel class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.flat_2d">flat_2d() (Dimension class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.flatten">flatten() (Sup3rX method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.flattened">flattened (Sup3rX property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.format">format() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.format">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.format_map">format_map() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.format_map">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.cli.SlurmManager.html#sup3r.utilities.cli.SlurmManager.format_walltime">format_walltime() (SlurmManager static method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.forward_pass.ForwardPass.html#sup3r.pipeline.forward_pass.ForwardPass">ForwardPass (class in sup3r.pipeline.forward_pass)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.strategy.ForwardPassChunk.html#sup3r.pipeline.strategy.ForwardPassChunk">ForwardPassChunk (class in sup3r.pipeline.strategy)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer">ForwardPassSlicer (class in sup3r.pipeline.slicer)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy">ForwardPassStrategy (class in sup3r.pipeline.strategy)</a>
+</li>
+      <li><a href="_autosummary/sup3r.qa.utilities.frequency_spectrum.html#sup3r.qa.utilities.frequency_spectrum">frequency_spectrum() (in module sup3r.qa.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.cli.BaseCLI.html#sup3r.utilities.cli.BaseCLI.from_config">from_config() (BaseCLI class method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.CoarseMseLoss.html#sup3r.utilities.loss_metrics.CoarseMseLoss.from_config">(CoarseMseLoss class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.ExpLoss.html#sup3r.utilities.loss_metrics.ExpLoss.from_config">(ExpLoss class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.LowResLoss.html#sup3r.utilities.loss_metrics.LowResLoss.from_config">(LowResLoss class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.MaterialDerivativeLoss.html#sup3r.utilities.loss_metrics.MaterialDerivativeLoss.from_config">(MaterialDerivativeLoss class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.MmdLoss.html#sup3r.utilities.loss_metrics.MmdLoss.from_config">(MmdLoss class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.MmdMseLoss.html#sup3r.utilities.loss_metrics.MmdMseLoss.from_config">(MmdMseLoss class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.MseExpLoss.html#sup3r.utilities.loss_metrics.MseExpLoss.from_config">(MseExpLoss class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesLoss.html#sup3r.utilities.loss_metrics.SpatialExtremesLoss.from_config">(SpatialExtremesLoss class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.html#sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.from_config">(SpatialExtremesOnlyLoss class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.html#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.from_config">(SpatialFftOnlyLoss class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.html#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.from_config">(SpatiotemporalExtremesLoss class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.html#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.from_config">(SpatiotemporalFftOnlyLoss class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.StExtremesFftLoss.html#sup3r.utilities.loss_metrics.StExtremesFftLoss.from_config">(StExtremesFftLoss class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesLoss.html#sup3r.utilities.loss_metrics.TemporalExtremesLoss.from_config">(TemporalExtremesLoss class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.html#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.from_config">(TemporalExtremesOnlyLoss class method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.cli.BaseCLI.html#sup3r.utilities.cli.BaseCLI.from_config_preflight">from_config_preflight() (BaseCLI class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.ExoData.html#sup3r.preprocessing.data_handlers.exo.ExoData.fromkeys">fromkeys() (ExoData method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.html#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.fromkeys">(SingleExoDataStep method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.full_version_record">full_version_record (RexOutputs property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.fwp_mask">fwp_mask (ForwardPassStrategy property)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="G">G</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.utilities.loss_metrics.gaussian_kernel.html#sup3r.utilities.loss_metrics.gaussian_kernel">gaussian_kernel() (in module sup3r.utilities.loss_metrics)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.generate">generate() (AbstractInterface method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.generate">(AbstractSingleModel method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.generate">(LinearInterp method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.generate">(MultiStepGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.generate">(MultiStepSurfaceMetGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.generate">(SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.generate">(SolarMultiStepGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.generate">(Sup3rCondMom method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.generate">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.generate">(Sup3rGanDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.generate">(SurfaceSpatialMetModel method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.utilities.generate_random_string.html#sup3r.utilities.utilities.generate_random_string">generate_random_string() (in module sup3r.utilities.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.generator">generator (AbstractSingleModel property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.generator">(SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.generator">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.generator">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.generator">(Sup3rGanDC property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.generator_weights">generator_weights (AbstractSingleModel property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.generator_weights">(SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.generator_weights">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.generator_weights">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.generator_weights">(Sup3rGanDC property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.ExoData.html#sup3r.preprocessing.data_handlers.exo.ExoData.get">get() (ExoData method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.html#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.get">(SingleExoDataStep method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_all_data">get_all_data() (VortexMeanPrepper method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.ExoDataHandler.html#sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_all_step_data">get_all_step_data() (ExoDataHandler method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.get_attrs">get_attrs() (RexOutputs method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.base.DataRetrievalBase.html#sup3r.bias.base.DataRetrievalBase.get_base_data">get_base_data() (DataRetrievalBase class method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.LinearCorrection.html#sup3r.bias.bias_calc.LinearCorrection.get_base_data">(LinearCorrection class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyLinearCorrection.html#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_base_data">(MonthlyLinearCorrection class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyScalarCorrection.html#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_base_data">(MonthlyScalarCorrection class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat.get_base_data">(PresRat class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.html#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_base_data">(QuantileDeltaMappingCorrection class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.ScalarCorrection.html#sup3r.bias.bias_calc.ScalarCorrection.get_base_data">(ScalarCorrection class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.SkillAssessment.html#sup3r.bias.bias_calc.SkillAssessment.get_base_data">(SkillAssessment class method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.bias.base.DataRetrievalBase.html#sup3r.bias.base.DataRetrievalBase.get_base_gid">get_base_gid() (DataRetrievalBase method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.LinearCorrection.html#sup3r.bias.bias_calc.LinearCorrection.get_base_gid">(LinearCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyLinearCorrection.html#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_base_gid">(MonthlyLinearCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyScalarCorrection.html#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_base_gid">(MonthlyScalarCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat.get_base_gid">(PresRat method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.html#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_base_gid">(QuantileDeltaMappingCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.ScalarCorrection.html#sup3r.bias.bias_calc.ScalarCorrection.get_base_gid">(ScalarCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.SkillAssessment.html#sup3r.bias.bias_calc.SkillAssessment.get_base_gid">(SkillAssessment method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_batch">get_batch() (AbstractBatchQueue method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_batch">(BatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_batch">(BatchHandlerCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_batch">(BatchHandlerDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_batch">(BatchHandlerMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_batch">(BatchHandlerMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_batch">(BatchHandlerMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_batch">(BatchHandlerMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_batch">(BatchHandlerMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_batch">(BatchHandlerTesterCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_batch">(BatchHandlerTesterDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_batch">(BatchQueueDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_batch">(ConditionalBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_batch">(DualBatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_batch">(DualBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_batch">(QueueMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_batch">(QueueMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_batch">(QueueMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_batch">(QueueMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_batch">(QueueMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_batch">(QueueMom2SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_batch">(SingleBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_batch">(ValBatchQueueDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.html#sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.get_bc_factors">get_bc_factors() (BiasCorrectUpdate class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.base.DataRetrievalBase.html#sup3r.bias.base.DataRetrievalBase.get_bias_data">get_bias_data() (DataRetrievalBase method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.LinearCorrection.html#sup3r.bias.bias_calc.LinearCorrection.get_bias_data">(LinearCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyLinearCorrection.html#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_bias_data">(MonthlyLinearCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyScalarCorrection.html#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_bias_data">(MonthlyScalarCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat.get_bias_data">(PresRat method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.html#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_bias_data">(QuantileDeltaMappingCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.ScalarCorrection.html#sup3r.bias.bias_calc.ScalarCorrection.get_bias_data">(ScalarCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.SkillAssessment.html#sup3r.bias.bias_calc.SkillAssessment.get_bias_data">(SkillAssessment method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.bias.base.DataRetrievalBase.html#sup3r.bias.base.DataRetrievalBase.get_bias_gid">get_bias_gid() (DataRetrievalBase method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.LinearCorrection.html#sup3r.bias.bias_calc.LinearCorrection.get_bias_gid">(LinearCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyLinearCorrection.html#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_bias_gid">(MonthlyLinearCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyScalarCorrection.html#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_bias_gid">(MonthlyScalarCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat.get_bias_gid">(PresRat method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.html#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_bias_gid">(QuantileDeltaMappingCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.ScalarCorrection.html#sup3r.bias.bias_calc.ScalarCorrection.get_bias_gid">(ScalarCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.SkillAssessment.html#sup3r.bias.bias_calc.SkillAssessment.get_bias_gid">(SkillAssessment method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.get_cds_client">get_cds_client() (EraDownloader static method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.ExoData.html#sup3r.preprocessing.data_handlers.exo.ExoData.get_chunk">get_chunk() (ExoData method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.collectors.base.BaseCollector.html#sup3r.postprocessing.collectors.base.BaseCollector.get_chunk_indices">get_chunk_indices() (BaseCollector static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5.get_chunk_indices">(CollectorH5 static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.collectors.nc.CollectorNC.html#sup3r.postprocessing.collectors.nc.CollectorNC.get_chunk_indices">(CollectorNC static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.get_chunk_indices">(ForwardPassStrategy method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.cachers.base.Cacher.html#sup3r.preprocessing.cachers.base.Cacher.get_chunk_slices">get_chunk_slices() (Cacher static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.pipeline.utilities.get_chunk_slices.html#sup3r.pipeline.utilities.get_chunk_slices">(in module sup3r.pipeline.utilities)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.cachers.base.Cacher.html#sup3r.preprocessing.cachers.base.Cacher.get_chunksizes">get_chunksizes() (Cacher class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.utilities.get_class_kwargs.html#sup3r.preprocessing.utilities.get_class_kwargs">get_class_kwargs() (in module sup3r.preprocessing.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_clearsky_ghi">get_clearsky_ghi() (DataHandlerNCforCC method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_clearsky_ghi">(DataHandlerNCforCCwithPowerLaw method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.base.BaseRasterizer.html#sup3r.preprocessing.rasterizers.base.BaseRasterizer.get_closest_row_col">get_closest_row_col() (BaseRasterizer method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer.get_closest_row_col">(Rasterizer method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5.get_collection_attrs">get_collection_attrs() (CollectorH5 method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.ExoData.html#sup3r.preprocessing.data_handlers.exo.ExoData.get_combine_type_data">get_combine_type_data() (ExoData method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.loss_metrics.CoarseMseLoss.html#sup3r.utilities.loss_metrics.CoarseMseLoss.get_config">get_config() (CoarseMseLoss method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.ExpLoss.html#sup3r.utilities.loss_metrics.ExpLoss.get_config">(ExpLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.LowResLoss.html#sup3r.utilities.loss_metrics.LowResLoss.get_config">(LowResLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.MaterialDerivativeLoss.html#sup3r.utilities.loss_metrics.MaterialDerivativeLoss.get_config">(MaterialDerivativeLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.MmdLoss.html#sup3r.utilities.loss_metrics.MmdLoss.get_config">(MmdLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.MmdMseLoss.html#sup3r.utilities.loss_metrics.MmdMseLoss.get_config">(MmdMseLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.MseExpLoss.html#sup3r.utilities.loss_metrics.MseExpLoss.get_config">(MseExpLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.get_config">(RexOutputs method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesLoss.html#sup3r.utilities.loss_metrics.SpatialExtremesLoss.get_config">(SpatialExtremesLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.html#sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.get_config">(SpatialExtremesOnlyLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.html#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.get_config">(SpatialFftOnlyLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.html#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.get_config">(SpatiotemporalExtremesLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.html#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.get_config">(SpatiotemporalFftOnlyLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.StExtremesFftLoss.html#sup3r.utilities.loss_metrics.StExtremesFftLoss.get_config">(StExtremesFftLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesLoss.html#sup3r.utilities.loss_metrics.TemporalExtremesLoss.get_config">(TemporalExtremesLoss method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.html#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.get_config">(TemporalExtremesOnlyLoss method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_container_index">get_container_index() (AbstractBatchQueue method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_container_index">(BatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_container_index">(BatchHandlerCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_container_index">(BatchHandlerDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_container_index">(BatchHandlerMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_container_index">(BatchHandlerMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_container_index">(BatchHandlerMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_container_index">(BatchHandlerMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_container_index">(BatchHandlerMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_container_index">(BatchHandlerTesterCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_container_index">(BatchHandlerTesterDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_container_index">(BatchQueueDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_container_index">(ConditionalBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_container_index">(DualBatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_container_index">(DualBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_container_index">(QueueMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_container_index">(QueueMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_container_index">(QueueMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_container_index">(QueueMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_container_index">(QueueMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_container_index">(QueueMom2SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_container_index">(SingleBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_container_index">(ValBatchQueueDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5.get_coordinate_indices">get_coordinate_indices() (CollectorH5 method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.loaders.nc.LoaderNC.html#sup3r.preprocessing.loaders.nc.LoaderNC.get_coords">get_coords() (LoaderNC static method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.get_cropped_slices">get_cropped_slices() (ForwardPassSlicer static method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.get_data">get_data() (BaseExoRasterizer method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5.get_data">(CollectorH5 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.get_data">(ExoRasterizer method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.get_data">(ExoRasterizerH5 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.get_data">(ExoRasterizerNC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.SzaRasterizer.html#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.get_data">(SzaRasterizer method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.bias.base.DataRetrievalBase.html#sup3r.bias.base.DataRetrievalBase.get_data_pair">get_data_pair() (DataRetrievalBase method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.LinearCorrection.html#sup3r.bias.bias_calc.LinearCorrection.get_data_pair">(LinearCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyLinearCorrection.html#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_data_pair">(MonthlyLinearCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyScalarCorrection.html#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_data_pair">(MonthlyScalarCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat.get_data_pair">(PresRat method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.html#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_data_pair">(QuantileDeltaMappingCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.ScalarCorrection.html#sup3r.bias.bias_calc.ScalarCorrection.get_data_pair">(ScalarCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.SkillAssessment.html#sup3r.bias.bias_calc.SkillAssessment.get_data_pair">(SkillAssessment method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.utilities.get_date_range_kwargs.html#sup3r.preprocessing.utilities.get_date_range_kwargs">get_date_range_kwargs() (in module sup3r.preprocessing.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.loaders.nc.LoaderNC.html#sup3r.preprocessing.loaders.nc.LoaderNC.get_dims">get_dims() (LoaderNC static method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.get_distance_upper_bound">get_distance_upper_bound() (BaseExoRasterizer method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.get_distance_upper_bound">(ExoRasterizer method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.get_distance_upper_bound">(ExoRasterizerH5 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.get_distance_upper_bound">(ExoRasterizerNC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.SzaRasterizer.html#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.get_distance_upper_bound">(SzaRasterizer method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.postprocessing.collectors.base.BaseCollector.html#sup3r.postprocessing.collectors.base.BaseCollector.get_dset_attrs">get_dset_attrs() (BaseCollector static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5.get_dset_attrs">(CollectorH5 static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.collectors.nc.CollectorNC.html#sup3r.postprocessing.collectors.nc.CollectorNC.get_dset_attrs">(CollectorNC static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler.get_dset_attrs">(OutputHandler static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.h5.OutputHandlerH5.html#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_dset_attrs">(OutputHandlerH5 static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.nc.OutputHandlerNC.html#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_dset_attrs">(OutputHandlerNC static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.base.OutputMixin.html#sup3r.postprocessing.writers.base.OutputMixin.get_dset_attrs">(OutputMixin static method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.qa.qa.Sup3rQa.html#sup3r.qa.qa.Sup3rQa.get_dset_out">get_dset_out() (Sup3rQa method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.get_dset_properties">get_dset_properties() (RexOutputs method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.get_exo_cache_files">get_exo_cache_files() (ForwardPassStrategy method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.get_exo_kwargs">get_exo_kwargs() (ForwardPassStrategy method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.ExoDataHandler.html#sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_exo_rasterizer">get_exo_rasterizer() (ExoDataHandler method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.ExoDataHandler.html#sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_exo_steps">get_exo_steps() (ExoDataHandler class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler.get_features">get_features() (DualSampler method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.html#sup3r.preprocessing.samplers.cc.DualSamplerCC.get_features">(DualSamplerCC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5.get_flist_chunks">get_flist_chunks() (CollectorH5 method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_height_files">get_height_files() (VortexMeanPrepper method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.get_high_res_exo_input">get_high_res_exo_input() (AbstractSingleModel method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.get_high_res_exo_input">(SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.get_high_res_exo_input">(Sup3rCondMom method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.get_high_res_exo_input">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.get_high_res_exo_input">(Sup3rGanDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.get_hours">get_hours() (EraDownloader method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.get_hr_slices">get_hr_slices() (ForwardPassSlicer static method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.forward_pass.ForwardPass.html#sup3r.pipeline.forward_pass.ForwardPass.get_input_chunk">get_input_chunk() (ForwardPass method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_input_file">get_input_file() (VortexMeanPrepper method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.utilities.get_input_handler_class.html#sup3r.preprocessing.utilities.get_input_handler_class">get_input_handler_class() (in module sup3r.preprocessing.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver.get_inputs">get_inputs() (BaseDeriver method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DailyDataHandler.html#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.get_inputs">(DailyDataHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandler.html#sup3r.preprocessing.data_handlers.factory.DataHandler.get_inputs">(DataHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.get_inputs">(DataHandlerH5SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.get_inputs">(DataHandlerH5WindCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_inputs">(DataHandlerNCforCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_inputs">(DataHandlerNCforCCwithPowerLaw method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.base.Deriver.html#sup3r.preprocessing.derivers.base.Deriver.get_inputs">(Deriver method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.base.BaseRasterizer.html#sup3r.preprocessing.rasterizers.base.BaseRasterizer.get_lat_lon">get_lat_lon() (BaseRasterizer method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler.get_lat_lon">(OutputHandler class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.h5.OutputHandlerH5.html#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_lat_lon">(OutputHandlerH5 class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.nc.OutputHandlerNC.html#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_lat_lon">(OutputHandlerNC class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer.get_lat_lon">(Rasterizer method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_lat_lon">(VortexMeanPrepper method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.interpolation.Interpolator.html#sup3r.utilities.interpolation.Interpolator.get_level_masks">get_level_masks() (Interpolator class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc.LinearCorrection.html#sup3r.bias.bias_calc.LinearCorrection.get_linear_correction">get_linear_correction() (LinearCorrection static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyLinearCorrection.html#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_linear_correction">(MonthlyLinearCorrection static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyScalarCorrection.html#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_linear_correction">(MonthlyScalarCorrection static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.ScalarCorrection.html#sup3r.bias.bias_calc.ScalarCorrection.get_linear_correction">(ScalarCorrection static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.SkillAssessment.html#sup3r.bias.bias_calc.SkillAssessment.get_linear_correction">(SkillAssessment static method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.get_loss_fun">get_loss_fun() (AbstractSingleModel static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.get_loss_fun">(SolarCC static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.get_loss_fun">(Sup3rCondMom static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.get_loss_fun">(Sup3rGan static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.get_loss_fun">(Sup3rGanDC static method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.collections.stats.StatsCollection.html#sup3r.preprocessing.collections.stats.StatsCollection.get_means">get_means() (StatsCollection method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.get_meta_arr">get_meta_arr() (RexOutputs method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.html#sup3r.preprocessing.samplers.cc.DualSamplerCC.get_middle_days">get_middle_days() (DualSamplerCC static method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.utilities.get_model.html#sup3r.pipeline.utilities.get_model">get_model() (in module sup3r.pipeline.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.ExoData.html#sup3r.preprocessing.data_handlers.exo.ExoData.get_model_step_exo">get_model_step_exo() (ExoData method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_month">get_month() (VortexMeanPrepper method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.get_monthly_file">get_monthly_file() (EraDownloader method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver.get_multi_level_data">get_multi_level_data() (BaseDeriver method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DailyDataHandler.html#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.get_multi_level_data">(DailyDataHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandler.html#sup3r.preprocessing.data_handlers.factory.DataHandler.get_multi_level_data">(DataHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.get_multi_level_data">(DataHandlerH5SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.get_multi_level_data">(DataHandlerH5WindCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_multi_level_data">(DataHandlerNCforCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_multi_level_data">(DataHandlerNCforCCwithPowerLaw method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.base.Deriver.html#sup3r.preprocessing.derivers.base.Deriver.get_multi_level_data">(Deriver method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.postprocessing.collectors.base.BaseCollector.html#sup3r.postprocessing.collectors.base.BaseCollector.get_node_cmd">get_node_cmd() (BaseCollector class method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5.get_node_cmd">(CollectorH5 class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.collectors.nc.CollectorNC.html#sup3r.postprocessing.collectors.nc.CollectorNC.get_node_cmd">(CollectorNC class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.base.DataRetrievalBase.html#sup3r.bias.base.DataRetrievalBase.get_node_cmd">(DataRetrievalBase class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.pipeline.forward_pass.ForwardPass.html#sup3r.pipeline.forward_pass.ForwardPass.get_node_cmd">(ForwardPass class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.LinearCorrection.html#sup3r.bias.bias_calc.LinearCorrection.get_node_cmd">(LinearCorrection class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyLinearCorrection.html#sup3r.bias.bias_calc.MonthlyLinearCorrection.get_node_cmd">(MonthlyLinearCorrection class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyScalarCorrection.html#sup3r.bias.bias_calc.MonthlyScalarCorrection.get_node_cmd">(MonthlyScalarCorrection class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat.get_node_cmd">(PresRat class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.html#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_node_cmd">(QuantileDeltaMappingCorrection class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.ScalarCorrection.html#sup3r.bias.bias_calc.ScalarCorrection.get_node_cmd">(ScalarCorrection class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.SkillAssessment.html#sup3r.bias.bias_calc.SkillAssessment.get_node_cmd">(SkillAssessment class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.get_node_cmd">(Solar class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.qa.qa.Sup3rQa.html#sup3r.qa.qa.Sup3rQa.get_node_cmd">(Sup3rQa class method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.get_nsrdb_data">get_nsrdb_data() (Solar method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.utilities.get_obj_params.html#sup3r.preprocessing.utilities.get_obj_params">get_obj_params() (in module sup3r.preprocessing.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.utilities.get_optimizer_class.html#sup3r.models.utilities.get_optimizer_class">get_optimizer_class() (in module sup3r.models.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.get_optimizer_config">get_optimizer_config() (AbstractSingleModel static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.get_optimizer_config">(SolarCC static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.get_optimizer_config">(Sup3rCondMom static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.get_optimizer_config">(Sup3rGan static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.get_optimizer_config">(Sup3rGanDC static method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.get_optimizer_state">get_optimizer_state() (AbstractSingleModel class method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.get_optimizer_state">(SolarCC class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.get_optimizer_state">(Sup3rCondMom class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.get_optimizer_state">(Sup3rGan class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.get_optimizer_state">(Sup3rGanDC class method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.get_output_file">get_output_file() (VortexMeanPrepper method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.get_pad_width">get_pad_width() (ForwardPassStrategy method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.get_padded_slices">get_padded_slices() (ForwardPassSlicer static method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat.get_qdm_params">get_qdm_params() (PresRat static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.html#sup3r.bias.qdm.QuantileDeltaMappingCorrection.get_qdm_params">(QuantileDeltaMappingCorrection static method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_queue">get_queue() (AbstractBatchQueue method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_queue">(BatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_queue">(BatchHandlerCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_queue">(BatchHandlerDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_queue">(BatchHandlerMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_queue">(BatchHandlerMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_queue">(BatchHandlerMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_queue">(BatchHandlerMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_queue">(BatchHandlerMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_queue">(BatchHandlerTesterCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_queue">(BatchHandlerTesterDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_queue">(BatchQueueDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_queue">(ConditionalBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_queue">(DualBatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_queue">(DualBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_queue">(QueueMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_queue">(QueueMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_queue">(QueueMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_queue">(QueueMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_queue">(QueueMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_queue">(QueueMom2SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_queue">(SingleBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_queue">(ValBatchQueueDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.get_random_container">get_random_container() (AbstractBatchQueue method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.get_random_container">(BatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.get_random_container">(BatchHandlerCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.get_random_container">(BatchHandlerDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.get_random_container">(BatchHandlerMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.get_random_container">(BatchHandlerMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.get_random_container">(BatchHandlerMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.get_random_container">(BatchHandlerMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.get_random_container">(BatchHandlerMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.get_random_container">(BatchHandlerTesterCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.get_random_container">(BatchHandlerTesterDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.get_random_container">(BatchQueueDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.get_random_container">(ConditionalBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.get_random_container">(DualBatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.get_random_container">(DualBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.get_random_container">(QueueMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.get_random_container">(QueueMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.get_random_container">(QueueMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.get_random_container">(QueueMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.get_random_container">(QueueMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.get_random_container">(QueueMom2SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.get_random_container">(SingleBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.get_random_container">(ValBatchQueueDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.base.BaseRasterizer.html#sup3r.preprocessing.rasterizers.base.BaseRasterizer.get_raster_index">get_raster_index() (BaseRasterizer method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer.get_raster_index">(Rasterizer method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.dual.DualRasterizer.html#sup3r.preprocessing.rasterizers.dual.DualRasterizer.get_regridder">get_regridder() (DualRasterizer method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler.get_renamed_features">get_renamed_features() (OutputHandler class method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.h5.OutputHandlerH5.html#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_renamed_features">(OutputHandlerH5 class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.nc.OutputHandlerNC.html#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_renamed_features">(OutputHandlerNC class method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.get_s_enhance_from_layers">get_s_enhance_from_layers() (AbstractInterface method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.get_s_enhance_from_layers">(LinearInterp method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.get_s_enhance_from_layers">(MultiStepGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.get_s_enhance_from_layers">(MultiStepSurfaceMetGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.get_s_enhance_from_layers">(SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.get_s_enhance_from_layers">(SolarMultiStepGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.get_s_enhance_from_layers">(Sup3rCondMom method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.get_s_enhance_from_layers">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.get_s_enhance_from_layers">(Sup3rGanDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.get_s_enhance_from_layers">(SurfaceSpatialMetModel method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.get_SAM_df">get_SAM_df() (RexOutputs method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler.get_sample_index">get_sample_index() (DualSampler method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.html#sup3r.preprocessing.samplers.cc.DualSamplerCC.get_sample_index">(DualSamplerCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.DummySampler.html#sup3r.utilities.pytest.helpers.DummySampler.get_sample_index">(DummySampler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler.get_sample_index">(Sampler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dc.SamplerDC.html#sup3r.preprocessing.samplers.dc.SamplerDC.get_sample_index">(SamplerDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.SamplerTester.html#sup3r.utilities.pytest.helpers.SamplerTester.get_sample_index">(SamplerTester method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.get_scale_factor">get_scale_factor() (RexOutputs method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.get_single_grad">get_single_grad() (AbstractSingleModel method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.get_single_grad">(SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.get_single_grad">(Sup3rCondMom method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.get_single_grad">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.get_single_grad">(Sup3rGanDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver.get_single_level_data">get_single_level_data() (BaseDeriver method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DailyDataHandler.html#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.get_single_level_data">(DailyDataHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandler.html#sup3r.preprocessing.data_handlers.factory.DataHandler.get_single_level_data">(DataHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.get_single_level_data">(DataHandlerH5SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.get_single_level_data">(DataHandlerH5WindCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_single_level_data">(DataHandlerNCforCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_single_level_data">(DataHandlerNCforCCwithPowerLaw method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.base.Deriver.html#sup3r.preprocessing.derivers.base.Deriver.get_single_level_data">(Deriver method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.ExoDataHandler.html#sup3r.preprocessing.data_handlers.exo.ExoDataHandler.get_single_step_data">get_single_step_data() (ExoDataHandler method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5.get_slices">get_slices() (CollectorH5 class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.utilities.get_source_type.html#sup3r.preprocessing.utilities.get_source_type">get_source_type() (in module sup3r.preprocessing.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.get_spatial_slices">get_spatial_slices() (ForwardPassSlicer method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.collections.stats.StatsCollection.html#sup3r.preprocessing.collections.stats.StatsCollection.get_stds">get_stds() (StatsCollection method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.get_sup3r_fps">get_sup3r_fps() (Solar static method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.get_t_enhance_from_layers">get_t_enhance_from_layers() (AbstractInterface method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.get_t_enhance_from_layers">(LinearInterp method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.get_t_enhance_from_layers">(MultiStepGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.get_t_enhance_from_layers">(MultiStepSurfaceMetGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.get_t_enhance_from_layers">(SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.get_t_enhance_from_layers">(SolarMultiStepGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.get_t_enhance_from_layers">(Sup3rCondMom method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.get_t_enhance_from_layers">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.get_t_enhance_from_layers">(Sup3rGanDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.get_t_enhance_from_layers">(SurfaceSpatialMetModel method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5.get_target_and_masked_meta">get_target_and_masked_meta() (CollectorH5 method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.collectors.base.BaseCollector.html#sup3r.postprocessing.collectors.base.BaseCollector.get_time_dim_name">get_time_dim_name() (BaseCollector static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5.get_time_dim_name">(CollectorH5 static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.collectors.nc.CollectorNC.html#sup3r.postprocessing.collectors.nc.CollectorNC.get_time_dim_name">(CollectorNC static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler.get_time_dim_name">(OutputHandler static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.h5.OutputHandlerH5.html#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_time_dim_name">(OutputHandlerH5 static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.nc.OutputHandlerNC.html#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_time_dim_name">(OutputHandlerNC static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.base.OutputMixin.html#sup3r.postprocessing.writers.base.OutputMixin.get_time_dim_name">(OutputMixin static method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.get_time_slice">get_time_slice() (DataHandlerNCforCC method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.get_time_slice">(DataHandlerNCforCCwithPowerLaw method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.get_time_slices">get_time_slices() (ForwardPassSlicer method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler.get_times">get_times() (OutputHandler static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.h5.OutputHandlerH5.html#sup3r.postprocessing.writers.h5.OutputHandlerH5.get_times">(OutputHandlerH5 static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.nc.OutputHandlerNC.html#sup3r.postprocessing.writers.nc.OutputHandlerNC.get_times">(OutputHandlerNC static method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.get_tmp_file">get_tmp_file() (EraDownloader class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5.get_unique_chunk_files">get_unique_chunk_files() (CollectorH5 method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.get_units">get_units() (RexOutputs method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.get_weight_update_fraction">get_weight_update_fraction() (SolarCC static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.get_weight_update_fraction">(Sup3rGan static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.get_weight_update_fraction">(Sup3rGanDC static method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.utilities.SolarZenith.html#sup3r.preprocessing.derivers.utilities.SolarZenith.get_zenith">get_zenith() (SolarZenith static method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.ghi">ghi (Solar property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.global_attrs">global_attrs (RexOutputs property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.global_attrs">(VortexMeanPrepper property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.bias.bias_transforms.global_linear_bc.html#sup3r.bias.bias_transforms.global_linear_bc">global_linear_bc() (in module sup3r.bias.bias_transforms)</a>
+</li>
+      <li><a href="_autosummary/sup3r.qa.utilities.gradient_dist.html#sup3r.qa.utilities.gradient_dist">gradient_dist() (in module sup3r.qa.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.base.BaseRasterizer.html#sup3r.preprocessing.rasterizers.base.BaseRasterizer.grid_shape">grid_shape (BaseRasterizer property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer.grid_shape">(Rasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.grid_shape">(Sup3rX property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.postprocessing.collectors.nc.CollectorNC.html#sup3r.postprocessing.collectors.nc.CollectorNC.group_spatial_chunks">group_spatial_chunks() (CollectorNC method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.groups">groups (RexOutputs property)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="H">H</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.h5">h5 (RexOutputs property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver.has_interp_variables">has_interp_variables() (BaseDeriver method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DailyDataHandler.html#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.has_interp_variables">(DailyDataHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandler.html#sup3r.preprocessing.data_handlers.factory.DataHandler.has_interp_variables">(DataHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.has_interp_variables">(DataHandlerH5SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.has_interp_variables">(DataHandlerH5WindCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.has_interp_variables">(DataHandlerNCforCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.has_interp_variables">(DataHandlerNCforCCwithPowerLaw method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.base.Deriver.html#sup3r.preprocessing.derivers.base.Deriver.has_interp_variables">(Deriver method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.high_res">high_res (AbstractBatchQueue.Batch attribute)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.high_res">(BatchHandler.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.high_res">(BatchHandlerCC.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.high_res">(BatchHandlerDC.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.high_res">(BatchHandlerMom1.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.high_res">(BatchHandlerMom1.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.high_res">(BatchHandlerMom1SF.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.high_res">(BatchHandlerMom1SF.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.high_res">(BatchHandlerMom2.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.high_res">(BatchHandlerMom2.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.high_res">(BatchHandlerMom2Sep.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.high_res">(BatchHandlerMom2Sep.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.high_res">(BatchHandlerMom2SepSF.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.high_res">(BatchHandlerMom2SepSF.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.high_res">(BatchHandlerTesterCC.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.high_res">(BatchHandlerTesterDC.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.high_res">(BatchQueueDC.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.high_res">(ConditionalBatchQueue.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.high_res">(ConditionalBatchQueue.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.high_res">(DualBatchHandler.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.high_res">(DualBatchQueue.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.high_res">(QueueMom1.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.high_res">(QueueMom1.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.high_res">(QueueMom1SF.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.high_res">(QueueMom1SF.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.high_res">(QueueMom2.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.high_res">(QueueMom2.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.high_res">(QueueMom2Sep.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.high_res">(QueueMom2Sep.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.high_res">(QueueMom2SepSF.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.high_res">(QueueMom2SepSF.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.high_res">(QueueMom2SF.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.high_res">(QueueMom2SF.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.high_res">(SingleBatchQueue.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.high_res">(ValBatchQueueDC.Batch attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.history">history (AbstractSingleModel property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.history">(SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.history">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.history">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.history">(Sup3rGanDC property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.cli.SlurmManager.html#sup3r.utilities.cli.SlurmManager.hold">hold() (SlurmManager method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.hr_crop_slices">hr_crop_slices (ForwardPassSlicer property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.hr_exo_features">hr_exo_features (AbstractInterface property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler.hr_exo_features">(DualSampler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.html#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_exo_features">(DualSamplerCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.DummySampler.html#sup3r.utilities.pytest.helpers.DummySampler.hr_exo_features">(DummySampler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.hr_exo_features">(LinearInterp property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.hr_exo_features">(MultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.hr_exo_features">(MultiStepSurfaceMetGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler.hr_exo_features">(Sampler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dc.SamplerDC.html#sup3r.preprocessing.samplers.dc.SamplerDC.hr_exo_features">(SamplerDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.SamplerTester.html#sup3r.utilities.pytest.helpers.SamplerTester.hr_exo_features">(SamplerTester property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.hr_exo_features">(SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.hr_exo_features">(SolarMultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.hr_exo_features">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.hr_exo_features">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.hr_exo_features">(Sup3rGanDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.hr_exo_features">(SurfaceSpatialMetModel property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler.hr_features">hr_features (DualSampler property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.html#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_features">(DualSamplerCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.DummySampler.html#sup3r.utilities.pytest.helpers.DummySampler.hr_features">(DummySampler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler.hr_features">(Sampler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dc.SamplerDC.html#sup3r.preprocessing.samplers.dc.SamplerDC.hr_features">(SamplerDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.SamplerTester.html#sup3r.utilities.pytest.helpers.SamplerTester.hr_features">(SamplerTester property)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler.hr_features_ind">hr_features_ind (DualSampler property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.html#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_features_ind">(DualSamplerCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.DummySampler.html#sup3r.utilities.pytest.helpers.DummySampler.hr_features_ind">(DummySampler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler.hr_features_ind">(Sampler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dc.SamplerDC.html#sup3r.preprocessing.samplers.dc.SamplerDC.hr_features_ind">(SamplerDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.SamplerTester.html#sup3r.utilities.pytest.helpers.SamplerTester.hr_features_ind">(SamplerTester property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.hr_lat_lon">hr_lat_lon (BaseExoRasterizer property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.hr_lat_lon">(ExoRasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.hr_lat_lon">(ExoRasterizerH5 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.hr_lat_lon">(ExoRasterizerNC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.hr_lat_lon">(ForwardPassStrategy property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.SzaRasterizer.html#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.hr_lat_lon">(SzaRasterizer property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.hr_out_features">hr_out_features (AbstractInterface property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler.hr_out_features">(DualSampler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.html#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_out_features">(DualSamplerCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.DummySampler.html#sup3r.utilities.pytest.helpers.DummySampler.hr_out_features">(DummySampler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.hr_out_features">(LinearInterp property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.hr_out_features">(MultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.hr_out_features">(MultiStepSurfaceMetGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler.hr_out_features">(Sampler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dc.SamplerDC.html#sup3r.preprocessing.samplers.dc.SamplerDC.hr_out_features">(SamplerDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.SamplerTester.html#sup3r.utilities.pytest.helpers.SamplerTester.hr_out_features">(SamplerTester property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.hr_out_features">(SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.hr_out_features">(SolarMultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.hr_out_features">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.hr_out_features">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.hr_out_features">(Sup3rGanDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.hr_out_features">(SurfaceSpatialMetModel property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler.hr_sample_shape">hr_sample_shape (DualSampler property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.html#sup3r.preprocessing.samplers.cc.DualSamplerCC.hr_sample_shape">(DualSamplerCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.DummySampler.html#sup3r.utilities.pytest.helpers.DummySampler.hr_sample_shape">(DummySampler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler.hr_sample_shape">(Sampler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dc.SamplerDC.html#sup3r.preprocessing.samplers.dc.SamplerDC.hr_sample_shape">(SamplerDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.SamplerTester.html#sup3r.utilities.pytest.helpers.SamplerTester.hr_sample_shape">(SamplerTester property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.hr_shape">hr_shape (AbstractBatchQueue property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.hr_shape">(BaseExoRasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.hr_shape">(BatchHandler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.hr_shape">(BatchHandlerCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.hr_shape">(BatchHandlerDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.hr_shape">(BatchHandlerMom1 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.hr_shape">(BatchHandlerMom1SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.hr_shape">(BatchHandlerMom2 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.hr_shape">(BatchHandlerMom2Sep property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.hr_shape">(BatchHandlerMom2SepSF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.hr_shape">(BatchHandlerTesterCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.hr_shape">(BatchHandlerTesterDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.hr_shape">(BatchQueueDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.hr_shape">(ConditionalBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.hr_shape">(DualBatchHandler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.hr_shape">(DualBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.hr_shape">(ExoRasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.hr_shape">(ExoRasterizerH5 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.hr_shape">(ExoRasterizerNC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.hr_shape">(QueueMom1 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.hr_shape">(QueueMom1SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.hr_shape">(QueueMom2 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.hr_shape">(QueueMom2Sep property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.hr_shape">(QueueMom2SepSF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.hr_shape">(QueueMom2SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.hr_shape">(SingleBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.SzaRasterizer.html#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.hr_shape">(SzaRasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.hr_shape">(ValBatchQueueDC property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.hr_time_index">hr_time_index (BaseExoRasterizer property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.hr_time_index">(ExoRasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.hr_time_index">(ExoRasterizerH5 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.hr_time_index">(ExoRasterizerNC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.SzaRasterizer.html#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.hr_time_index">(SzaRasterizer property)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="I">I</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.idf_solar">idf_solar (SolarMultiStepGan property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.idf_wind">idf_wind (SolarMultiStepGan property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.idf_wind_out">idf_wind_out (SolarMultiStepGan property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.idnn">idnn (Solar property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.in_features">in_features (VortexMeanPrepper property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.index">index() (AbstractBatchQueue.Batch method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.index">(BatchHandler.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.index">(BatchHandlerCC.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.index">(BatchHandlerDC.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.index">(BatchHandlerMom1.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.index">(BatchHandlerMom1.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.index">(BatchHandlerMom1SF.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.index">(BatchHandlerMom1SF.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.index">(BatchHandlerMom2.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.index">(BatchHandlerMom2.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.index">(BatchHandlerMom2Sep.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.index">(BatchHandlerMom2Sep.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.index">(BatchHandlerMom2SepSF.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.index">(BatchHandlerMom2SepSF.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.index">(BatchHandlerTesterCC.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.index">(BatchHandlerTesterDC.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.index">(BatchQueueDC.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.index">(ConditionalBatchQueue.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.index">(ConditionalBatchQueue.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.index">(Dimension method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.index">(DualBatchHandler.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.index">(DualBatchQueue.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.index">(ModuleName method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.index">(QueueMom1.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.index">(QueueMom1.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.index">(QueueMom1SF.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.index">(QueueMom1SF.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.index">(QueueMom2.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.index">(QueueMom2.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.index">(QueueMom2Sep.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.index">(QueueMom2Sep.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.index">(QueueMom2SepSF.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.index">(QueueMom2SepSF.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.index">(QueueMom2SF.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.index">(QueueMom2SF.ConditionalBatch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.index">(SingleBatchQueue.Batch method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.index">(ValBatchQueueDC.Batch method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.init_chunk">init_chunk() (ForwardPassStrategy method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.init_h5">init_h5() (RexOutputs class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.init_input_handler">init_input_handler() (ForwardPassStrategy method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.init_optimizer">init_optimizer() (AbstractSingleModel static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.init_optimizer">(SolarCC static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.init_optimizer">(Sup3rCondMom static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.init_optimizer">(Sup3rGan static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.init_optimizer">(Sup3rGanDC static method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.init_samplers">init_samplers() (BatchHandler method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.init_samplers">(BatchHandlerCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.init_samplers">(BatchHandlerDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.init_samplers">(BatchHandlerMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.init_samplers">(BatchHandlerMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.init_samplers">(BatchHandlerMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.init_samplers">(BatchHandlerMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.init_samplers">(BatchHandlerMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.init_samplers">(BatchHandlerTesterCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.init_samplers">(BatchHandlerTesterDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.init_samplers">(DualBatchHandler method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.init_weights">init_weights() (SolarCC method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.init_weights">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.init_weights">(Sup3rGanDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.input_dims">input_dims (AbstractInterface property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.input_dims">(LinearInterp property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.input_dims">(MultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.input_dims">(MultiStepSurfaceMetGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.input_dims">(SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.input_dims">(SolarMultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.input_dims">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.input_dims">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.input_dims">(Sup3rGanDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.input_dims">(SurfaceSpatialMetModel property)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.input_files">input_files (VortexMeanPrepper property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.input_resolution">input_resolution (AbstractInterface property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.input_resolution">(LinearInterp property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.input_resolution">(MultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.input_resolution">(MultiStepSurfaceMetGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.input_resolution">(SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.input_resolution">(SolarMultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.input_resolution">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.input_resolution">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.input_resolution">(Sup3rGanDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.input_resolution">(SurfaceSpatialMetModel property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.interp">interp() (VortexMeanPrepper method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.interpolation.Interpolator.html#sup3r.utilities.interpolation.Interpolator.interp_to_level">interp_to_level() (Interpolator class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.interpolate_na">interpolate_na() (Sup3rX method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.interpolation.Interpolator.html#sup3r.utilities.interpolation.Interpolator">Interpolator (class in sup3r.utilities.interpolation)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.utilities.invert_uv.html#sup3r.preprocessing.derivers.utilities.invert_uv">invert_uv() (in module sup3r.preprocessing.derivers.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler.invert_uv_features">invert_uv_features() (OutputHandler class method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.h5.OutputHandlerH5.html#sup3r.postprocessing.writers.h5.OutputHandlerH5.invert_uv_features">(OutputHandlerH5 class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.nc.OutputHandlerNC.html#sup3r.postprocessing.writers.nc.OutputHandlerNC.invert_uv_features">(OutputHandlerNC class method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler.invert_uv_single_pair">invert_uv_single_pair() (OutputHandler static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.h5.OutputHandlerH5.html#sup3r.postprocessing.writers.h5.OutputHandlerH5.invert_uv_single_pair">(OutputHandlerH5 static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.nc.OutputHandlerNC.html#sup3r.postprocessing.writers.nc.OutputHandlerNC.invert_uv_single_pair">(OutputHandlerNC static method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.is_4d">is_4d (AbstractInterface property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.is_4d">(LinearInterp property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.is_4d">(MultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.is_4d">(MultiStepSurfaceMetGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.is_4d">(SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.is_4d">(SolarMultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.is_4d">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.is_4d">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.is_4d">(Sup3rGanDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.is_4d">(SurfaceSpatialMetModel property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.is_5d">is_5d (AbstractInterface property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.is_5d">(LinearInterp property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.is_5d">(MultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.is_5d">(MultiStepSurfaceMetGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.is_5d">(SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.is_5d">(SolarMultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.is_5d">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.is_5d">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.is_5d">(Sup3rGanDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.is_5d">(SurfaceSpatialMetModel property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler.is_increasing_lons">is_increasing_lons() (OutputHandler static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.h5.OutputHandlerH5.html#sup3r.postprocessing.writers.h5.OutputHandlerH5.is_increasing_lons">(OutputHandlerH5 static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.nc.OutputHandlerNC.html#sup3r.postprocessing.writers.nc.OutputHandlerNC.is_increasing_lons">(OutputHandlerNC static method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.utilities.is_type_of.html#sup3r.preprocessing.utilities.is_type_of">is_type_of() (in module sup3r.preprocessing.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.isalnum">isalnum() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.isalnum">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.isalpha">isalpha() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.isalpha">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.isascii">isascii() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.isascii">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.isdecimal">isdecimal() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.isdecimal">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.isdigit">isdigit() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.isdigit">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset.isel">isel() (Sup3rDataset method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.isel">(Sup3rX method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.isidentifier">isidentifier() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.isidentifier">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.islower">islower() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.islower">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.isnumeric">isnumeric() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.isnumeric">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.isprintable">isprintable() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.isprintable">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.isspace">isspace() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.isspace">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.istitle">istitle() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.istitle">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.isupper">isupper() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.isupper">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.ExoData.html#sup3r.preprocessing.data_handlers.exo.ExoData.items">items() (ExoData method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.html#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.items">(SingleExoDataStep method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="J">J</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.join">join() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.join">(ModuleName method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="K">K</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.ExoData.html#sup3r.preprocessing.data_handlers.exo.ExoData.keys">keys() (ExoData method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.html#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.keys">(SingleExoDataStep method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.cli.BaseCLI.html#sup3r.utilities.cli.BaseCLI.kickoff_local_job">kickoff_local_job() (BaseCLI class method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.bias_calc_cli.kickoff_local_job.html#sup3r.bias.bias_calc_cli.kickoff_local_job">(in module sup3r.bias.bias_calc_cli)</a>
+</li>
+        <li><a href="_autosummary/sup3r.pipeline.forward_pass_cli.kickoff_local_job.html#sup3r.pipeline.forward_pass_cli.kickoff_local_job">(in module sup3r.pipeline.forward_pass_cli)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.data_collect_cli.kickoff_local_job.html#sup3r.postprocessing.data_collect_cli.kickoff_local_job">(in module sup3r.postprocessing.data_collect_cli)</a>
+</li>
+        <li><a href="_autosummary/sup3r.solar.solar_cli.kickoff_local_job.html#sup3r.solar.solar_cli.kickoff_local_job">(in module sup3r.solar.solar_cli)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.utilities.cli.BaseCLI.html#sup3r.utilities.cli.BaseCLI.kickoff_slurm_job">kickoff_slurm_job() (BaseCLI class method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.bias_calc_cli.kickoff_slurm_job.html#sup3r.bias.bias_calc_cli.kickoff_slurm_job">(in module sup3r.bias.bias_calc_cli)</a>
+</li>
+        <li><a href="_autosummary/sup3r.pipeline.forward_pass_cli.kickoff_slurm_job.html#sup3r.pipeline.forward_pass_cli.kickoff_slurm_job">(in module sup3r.pipeline.forward_pass_cli)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.data_collect_cli.kickoff_slurm_job.html#sup3r.postprocessing.data_collect_cli.kickoff_slurm_job">(in module sup3r.postprocessing.data_collect_cli)</a>
+</li>
+        <li><a href="_autosummary/sup3r.solar.solar_cli.kickoff_slurm_job.html#sup3r.solar.solar_cli.kickoff_slurm_job">(in module sup3r.solar.solar_cli)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="L">L</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.base.BaseRasterizer.html#sup3r.preprocessing.rasterizers.base.BaseRasterizer.lat_lon">lat_lon (BaseRasterizer property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer.lat_lon">(Rasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.lat_lon">(RexOutputs property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.lat_lon">(Sup3rX property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.level_file">level_file (EraDownloader property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.utilities.lin_bc.html#sup3r.bias.utilities.lin_bc">lin_bc() (in module sup3r.bias.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc.LinearCorrection.html#sup3r.bias.bias_calc.LinearCorrection">LinearCorrection (class in sup3r.bias.bias_calc)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp">LinearInterp (class in sup3r.models.linear)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.ljust">ljust() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.ljust">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.load">load() (AbstractInterface class method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.load">(LinearInterp class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.load">(MultiStepGan class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.load">(MultiStepSurfaceMetGan class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.load">(SolarCC class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.load">(SolarMultiStepGan class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.load">(Sup3rCondMom class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.load">(Sup3rGan class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.load">(Sup3rGanDC class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.load">(SurfaceSpatialMetModel class method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.load_exo_data">load_exo_data() (ForwardPassStrategy method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.load_network">load_network() (AbstractSingleModel method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.load_network">(SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.load_network">(Sup3rCondMom method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.load_network">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.load_network">(Sup3rGanDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.load_saved_params">load_saved_params() (AbstractSingleModel static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.load_saved_params">(SolarCC static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.load_saved_params">(Sup3rCondMom static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.load_saved_params">(Sup3rGan static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.load_saved_params">(Sup3rGanDC static method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset.loaded">loaded (Sup3rDataset property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.loaded">(Sup3rX property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.loaders.Loader.html#sup3r.preprocessing.loaders.Loader">Loader (class in sup3r.preprocessing.loaders)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.loaders.h5.LoaderH5.html#sup3r.preprocessing.loaders.h5.LoaderH5">LoaderH5 (class in sup3r.preprocessing.loaders.h5)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.loaders.nc.LoaderNC.html#sup3r.preprocessing.loaders.nc.LoaderNC">LoaderNC (class in sup3r.preprocessing.loaders.nc)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.bias_transforms.local_linear_bc.html#sup3r.bias.bias_transforms.local_linear_bc">local_linear_bc() (in module sup3r.bias.bias_transforms)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.bias_transforms.local_presrat_bc.html#sup3r.bias.bias_transforms.local_presrat_bc">local_presrat_bc() (in module sup3r.bias.bias_transforms)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.bias_transforms.local_qdm_bc.html#sup3r.bias.bias_transforms.local_qdm_bc">local_qdm_bc() (in module sup3r.bias.bias_transforms)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.utilities.log_args.html#sup3r.preprocessing.utilities.log_args">log_args() (in module sup3r.preprocessing.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.log_loss_details">log_loss_details() (AbstractSingleModel static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.log_loss_details">(SolarCC static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.log_loss_details">(Sup3rCondMom static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.log_loss_details">(Sup3rGan static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.log_loss_details">(Sup3rGanDC static method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.log_queue_info">log_queue_info() (AbstractBatchQueue method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.log_queue_info">(BatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.log_queue_info">(BatchHandlerCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.log_queue_info">(BatchHandlerDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.log_queue_info">(BatchHandlerMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.log_queue_info">(BatchHandlerMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.log_queue_info">(BatchHandlerMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.log_queue_info">(BatchHandlerMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.log_queue_info">(BatchHandlerMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.log_queue_info">(BatchHandlerTesterCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.log_queue_info">(BatchHandlerTesterDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.log_queue_info">(BatchQueueDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.log_queue_info">(ConditionalBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.log_queue_info">(DualBatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.log_queue_info">(DualBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.log_queue_info">(QueueMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.log_queue_info">(QueueMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.log_queue_info">(QueueMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.log_queue_info">(QueueMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.log_queue_info">(QueueMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.log_queue_info">(QueueMom2SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.log_queue_info">(SingleBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.log_queue_info">(ValBatchQueueDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.Batch.low_res">low_res (AbstractBatchQueue.Batch attribute)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.Batch.low_res">(BatchHandler.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.Batch.low_res">(BatchHandlerCC.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.Batch.low_res">(BatchHandlerDC.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.Batch.low_res">(BatchHandlerMom1.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.low_res">(BatchHandlerMom1.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.Batch.low_res">(BatchHandlerMom1SF.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.low_res">(BatchHandlerMom1SF.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.Batch.low_res">(BatchHandlerMom2.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.low_res">(BatchHandlerMom2.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.Batch.low_res">(BatchHandlerMom2Sep.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.low_res">(BatchHandlerMom2Sep.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.Batch.low_res">(BatchHandlerMom2SepSF.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.low_res">(BatchHandlerMom2SepSF.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.Batch.low_res">(BatchHandlerTesterCC.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.Batch.low_res">(BatchHandlerTesterDC.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.Batch.low_res">(BatchQueueDC.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.Batch.low_res">(ConditionalBatchQueue.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.low_res">(ConditionalBatchQueue.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.Batch.low_res">(DualBatchHandler.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.Batch.low_res">(DualBatchQueue.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch.low_res">(QueueMom1.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.low_res">(QueueMom1.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch.low_res">(QueueMom1SF.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.low_res">(QueueMom1SF.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch.low_res">(QueueMom2.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.low_res">(QueueMom2.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch.low_res">(QueueMom2Sep.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.low_res">(QueueMom2Sep.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch.low_res">(QueueMom2SepSF.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.low_res">(QueueMom2SepSF.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch.low_res">(QueueMom2SF.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.low_res">(QueueMom2SF.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch.low_res">(SingleBatchQueue.Batch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch.low_res">(ValBatchQueueDC.Batch attribute)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.lower">lower() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.lower">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.utilities.lower_names.html#sup3r.preprocessing.utilities.lower_names">lower_names() (in module sup3r.preprocessing.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.utilities.lowered.html#sup3r.preprocessing.utilities.lowered">lowered() (in module sup3r.preprocessing.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.loss_metrics.LowResLoss.html#sup3r.utilities.loss_metrics.LowResLoss">LowResLoss (class in sup3r.utilities.loss_metrics)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.lr_features">lr_features (AbstractInterface property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.lr_features">(LinearInterp property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.lr_features">(MultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.lr_features">(MultiStepSurfaceMetGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.lr_features">(SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.lr_features">(SolarMultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.lr_features">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.lr_features">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.lr_features">(Sup3rGanDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.lr_features">(SurfaceSpatialMetModel property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler.lr_only_features">lr_only_features (DualSampler property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.html#sup3r.preprocessing.samplers.cc.DualSamplerCC.lr_only_features">(DualSamplerCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.DummySampler.html#sup3r.utilities.pytest.helpers.DummySampler.lr_only_features">(DummySampler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler.lr_only_features">(Sampler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dc.SamplerDC.html#sup3r.preprocessing.samplers.dc.SamplerDC.lr_only_features">(SamplerDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.SamplerTester.html#sup3r.utilities.pytest.helpers.SamplerTester.lr_only_features">(SamplerTester property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.lr_shape">lr_shape (AbstractBatchQueue property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.lr_shape">(BaseExoRasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.lr_shape">(BatchHandler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.lr_shape">(BatchHandlerCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.lr_shape">(BatchHandlerDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.lr_shape">(BatchHandlerMom1 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.lr_shape">(BatchHandlerMom1SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.lr_shape">(BatchHandlerMom2 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.lr_shape">(BatchHandlerMom2Sep property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.lr_shape">(BatchHandlerMom2SepSF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.lr_shape">(BatchHandlerTesterCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.lr_shape">(BatchHandlerTesterDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.lr_shape">(BatchQueueDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.lr_shape">(ConditionalBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.lr_shape">(DualBatchHandler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.lr_shape">(DualBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.lr_shape">(ExoRasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.lr_shape">(ExoRasterizerH5 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.lr_shape">(ExoRasterizerNC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.lr_shape">(QueueMom1 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.lr_shape">(QueueMom1SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.lr_shape">(QueueMom2 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.lr_shape">(QueueMom2Sep property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.lr_shape">(QueueMom2SepSF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.lr_shape">(QueueMom2SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.lr_shape">(SingleBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.SzaRasterizer.html#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.lr_shape">(SzaRasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.lr_shape">(ValBatchQueueDC property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.lstrip">lstrip() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.lstrip">(ModuleName method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="M">M</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.utilities.pytest.helpers.make_collect_chunks.html#sup3r.utilities.pytest.helpers.make_collect_chunks">make_collect_chunks() (in module sup3r.utilities.pytest.helpers)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.pytest.helpers.make_fake_cs_ratio_files.html#sup3r.utilities.pytest.helpers.make_fake_cs_ratio_files">make_fake_cs_ratio_files() (in module sup3r.utilities.pytest.helpers)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.pytest.helpers.make_fake_dset.html#sup3r.utilities.pytest.helpers.make_fake_dset">make_fake_dset() (in module sup3r.utilities.pytest.helpers)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.pytest.helpers.make_fake_h5_chunks.html#sup3r.utilities.pytest.helpers.make_fake_h5_chunks">make_fake_h5_chunks() (in module sup3r.utilities.pytest.helpers)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.pytest.helpers.make_fake_nc_file.html#sup3r.utilities.pytest.helpers.make_fake_nc_file">make_fake_nc_file() (in module sup3r.utilities.pytest.helpers)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.pytest.helpers.make_fake_tif.html#sup3r.utilities.pytest.helpers.make_fake_tif">make_fake_tif() (in module sup3r.utilities.pytest.helpers)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.make_mask">make_mask() (BatchHandlerMom1 method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.make_mask">(BatchHandlerMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.make_mask">(BatchHandlerMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.make_mask">(BatchHandlerMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.make_mask">(BatchHandlerMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.make_mask">(ConditionalBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.make_mask">(QueueMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.make_mask">(QueueMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.make_mask">(QueueMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.make_mask">(QueueMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.make_mask">(QueueMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.make_mask">(QueueMom2SF method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.make_output">make_output() (BatchHandlerMom1 method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.make_output">(BatchHandlerMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.make_output">(BatchHandlerMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.make_output">(BatchHandlerMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.make_output">(BatchHandlerMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.make_output">(ConditionalBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.make_output">(QueueMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.make_output">(QueueMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.make_output">(QueueMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.make_output">(QueueMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.make_output">(QueueMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.make_output">(QueueMom2SF method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.cli.SlurmManager.html#sup3r.utilities.cli.SlurmManager.make_path">make_path() (SlurmManager static method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.cli.SlurmManager.html#sup3r.utilities.cli.SlurmManager.make_sh">make_sh() (SlurmManager static method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.utilities.make_time_index_from_kws.html#sup3r.preprocessing.utilities.make_time_index_from_kws">make_time_index_from_kws() (in module sup3r.preprocessing.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.make_yearly_file">make_yearly_file() (EraDownloader class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.make_yearly_var_file">make_yearly_var_file() (EraDownloader class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.maketrans">maketrans() (Dimension static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.maketrans">(ModuleName static method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver.map_new_name">map_new_name() (BaseDeriver method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DailyDataHandler.html#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.map_new_name">(DailyDataHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandler.html#sup3r.preprocessing.data_handlers.factory.DataHandler.map_new_name">(DataHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.map_new_name">(DataHandlerH5SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.map_new_name">(DataHandlerH5WindCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.map_new_name">(DataHandlerNCforCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.map_new_name">(DataHandlerNCforCCwithPowerLaw method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.base.Deriver.html#sup3r.preprocessing.derivers.base.Deriver.map_new_name">(Deriver method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.mask">mask (BatchHandlerMom1.ConditionalBatch attribute)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.mask">(BatchHandlerMom1SF.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.mask">(BatchHandlerMom2.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.mask">(BatchHandlerMom2Sep.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.mask">(BatchHandlerMom2SepSF.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.mask">(ConditionalBatchQueue.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.mask">(QueueMom1.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.mask">(QueueMom1SF.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.mask">(QueueMom2.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.mask">(QueueMom2Sep.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.mask">(QueueMom2SepSF.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.mask">(QueueMom2SF.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.mask">(VortexMeanPrepper property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.loss_metrics.MaterialDerivativeLoss.html#sup3r.utilities.loss_metrics.MaterialDerivativeLoss">MaterialDerivativeLoss (class in sup3r.utilities.loss_metrics)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset.mean">mean() (Sup3rDataset method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.mean">(Sup3rX method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.means">means (AbstractSingleModel property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.means">(MultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.means">(MultiStepSurfaceMetGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.means">(SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.means">(SolarMultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.means">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.means">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.means">(Sup3rGanDC property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.meta">meta (AbstractInterface property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.base.DataRetrievalBase.html#sup3r.bias.base.DataRetrievalBase.meta">(DataRetrievalBase property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.pipeline.forward_pass.ForwardPass.html#sup3r.pipeline.forward_pass.ForwardPass.meta">(ForwardPass property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.meta">(ForwardPassStrategy property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.LinearCorrection.html#sup3r.bias.bias_calc.LinearCorrection.meta">(LinearCorrection property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.meta">(LinearInterp property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyLinearCorrection.html#sup3r.bias.bias_calc.MonthlyLinearCorrection.meta">(MonthlyLinearCorrection property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyScalarCorrection.html#sup3r.bias.bias_calc.MonthlyScalarCorrection.meta">(MonthlyScalarCorrection property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.meta">(MultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.meta">(MultiStepSurfaceMetGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat.meta">(PresRat property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.html#sup3r.bias.qdm.QuantileDeltaMappingCorrection.meta">(QuantileDeltaMappingCorrection property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.meta">(RexOutputs property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.ScalarCorrection.html#sup3r.bias.bias_calc.ScalarCorrection.meta">(ScalarCorrection property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.SkillAssessment.html#sup3r.bias.bias_calc.SkillAssessment.meta">(SkillAssessment property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.meta">(SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.meta">(SolarMultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.meta">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.meta">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.meta">(Sup3rGanDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.meta">(Sup3rX property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.meta">(SurfaceSpatialMetModel property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.meta">(VortexMeanPrepper property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.loss_metrics.MmdLoss.html#sup3r.utilities.loss_metrics.MmdLoss">MmdLoss (class in sup3r.utilities.loss_metrics)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.loss_metrics.MmdMseLoss.html#sup3r.utilities.loss_metrics.MmdMseLoss">MmdMseLoss (class in sup3r.utilities.loss_metrics)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.model_params">model_params (AbstractInterface property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.model_params">(LinearInterp property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.model_params">(MultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.model_params">(MultiStepSurfaceMetGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.model_params">(SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.model_params">(SolarMultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.model_params">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.model_params">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.model_params">(Sup3rGanDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.model_params">(SurfaceSpatialMetModel property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.models">models (MultiStepGan property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.models">(MultiStepSurfaceMetGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.models">(SolarMultiStepGan property)</a>
+</li>
+      </ul></li>
+      <li>
+    module
+
+      <ul>
+        <li><a href="_autosummary/sup3r.html#module-sup3r">sup3r</a>
+</li>
+        <li><a href="_autosummary/sup3r.batch.html#module-sup3r.batch">sup3r.batch</a>
+</li>
+        <li><a href="_autosummary/sup3r.batch.batch_cli.html#module-sup3r.batch.batch_cli">sup3r.batch.batch_cli</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.html#module-sup3r.bias">sup3r.bias</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.base.html#module-sup3r.bias.base">sup3r.bias.base</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.html#module-sup3r.bias.bias_calc">sup3r.bias.bias_calc</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc_cli.html#module-sup3r.bias.bias_calc_cli">sup3r.bias.bias_calc_cli</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.html#module-sup3r.bias.bias_calc_vortex">sup3r.bias.bias_calc_vortex</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_transforms.html#module-sup3r.bias.bias_transforms">sup3r.bias.bias_transforms</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.mixins.html#module-sup3r.bias.mixins">sup3r.bias.mixins</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.presrat.html#module-sup3r.bias.presrat">sup3r.bias.presrat</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.qdm.html#module-sup3r.bias.qdm">sup3r.bias.qdm</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.utilities.html#module-sup3r.bias.utilities">sup3r.bias.utilities</a>
+</li>
+        <li><a href="_autosummary/sup3r.cli.html#module-sup3r.cli">sup3r.cli</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.html#module-sup3r.models">sup3r.models</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.abstract.html#module-sup3r.models.abstract">sup3r.models.abstract</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.html#module-sup3r.models.base">sup3r.models.base</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.html#module-sup3r.models.conditional">sup3r.models.conditional</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.html#module-sup3r.models.dc">sup3r.models.dc</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.linear.html#module-sup3r.models.linear">sup3r.models.linear</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.html#module-sup3r.models.multi_step">sup3r.models.multi_step</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.html#module-sup3r.models.solar_cc">sup3r.models.solar_cc</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.html#module-sup3r.models.surface">sup3r.models.surface</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.utilities.html#module-sup3r.models.utilities">sup3r.models.utilities</a>
+</li>
+        <li><a href="_autosummary/sup3r.pipeline.html#module-sup3r.pipeline">sup3r.pipeline</a>
+</li>
+        <li><a href="_autosummary/sup3r.pipeline.forward_pass.html#module-sup3r.pipeline.forward_pass">sup3r.pipeline.forward_pass</a>
+</li>
+        <li><a href="_autosummary/sup3r.pipeline.forward_pass_cli.html#module-sup3r.pipeline.forward_pass_cli">sup3r.pipeline.forward_pass_cli</a>
+</li>
+        <li><a href="_autosummary/sup3r.pipeline.pipeline_cli.html#module-sup3r.pipeline.pipeline_cli">sup3r.pipeline.pipeline_cli</a>
+</li>
+        <li><a href="_autosummary/sup3r.pipeline.slicer.html#module-sup3r.pipeline.slicer">sup3r.pipeline.slicer</a>
+</li>
+        <li><a href="_autosummary/sup3r.pipeline.strategy.html#module-sup3r.pipeline.strategy">sup3r.pipeline.strategy</a>
+</li>
+        <li><a href="_autosummary/sup3r.pipeline.utilities.html#module-sup3r.pipeline.utilities">sup3r.pipeline.utilities</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.html#module-sup3r.postprocessing">sup3r.postprocessing</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.collectors.html#module-sup3r.postprocessing.collectors">sup3r.postprocessing.collectors</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.collectors.base.html#module-sup3r.postprocessing.collectors.base">sup3r.postprocessing.collectors.base</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.collectors.h5.html#module-sup3r.postprocessing.collectors.h5">sup3r.postprocessing.collectors.h5</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.collectors.nc.html#module-sup3r.postprocessing.collectors.nc">sup3r.postprocessing.collectors.nc</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.data_collect_cli.html#module-sup3r.postprocessing.data_collect_cli">sup3r.postprocessing.data_collect_cli</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.html#module-sup3r.postprocessing.writers">sup3r.postprocessing.writers</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.base.html#module-sup3r.postprocessing.writers.base">sup3r.postprocessing.writers.base</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.h5.html#module-sup3r.postprocessing.writers.h5">sup3r.postprocessing.writers.h5</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.nc.html#module-sup3r.postprocessing.writers.nc">sup3r.postprocessing.writers.nc</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.html#module-sup3r.preprocessing">sup3r.preprocessing</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.accessor.html#module-sup3r.preprocessing.accessor">sup3r.preprocessing.accessor</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.base.html#module-sup3r.preprocessing.base">sup3r.preprocessing.base</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.html#module-sup3r.preprocessing.batch_handlers">sup3r.preprocessing.batch_handlers</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.html#module-sup3r.preprocessing.batch_handlers.dc">sup3r.preprocessing.batch_handlers.dc</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.html#module-sup3r.preprocessing.batch_handlers.factory">sup3r.preprocessing.batch_handlers.factory</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.html#module-sup3r.preprocessing.batch_queues">sup3r.preprocessing.batch_queues</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.html#module-sup3r.preprocessing.batch_queues.abstract">sup3r.preprocessing.batch_queues.abstract</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.html#module-sup3r.preprocessing.batch_queues.base">sup3r.preprocessing.batch_queues.base</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.html#module-sup3r.preprocessing.batch_queues.conditional">sup3r.preprocessing.batch_queues.conditional</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.html#module-sup3r.preprocessing.batch_queues.dc">sup3r.preprocessing.batch_queues.dc</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.html#module-sup3r.preprocessing.batch_queues.dual">sup3r.preprocessing.batch_queues.dual</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.utilities.html#module-sup3r.preprocessing.batch_queues.utilities">sup3r.preprocessing.batch_queues.utilities</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.cachers.html#module-sup3r.preprocessing.cachers">sup3r.preprocessing.cachers</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.cachers.base.html#module-sup3r.preprocessing.cachers.base">sup3r.preprocessing.cachers.base</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.cachers.utilities.html#module-sup3r.preprocessing.cachers.utilities">sup3r.preprocessing.cachers.utilities</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.collections.html#module-sup3r.preprocessing.collections">sup3r.preprocessing.collections</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.collections.base.html#module-sup3r.preprocessing.collections.base">sup3r.preprocessing.collections.base</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.collections.stats.html#module-sup3r.preprocessing.collections.stats">sup3r.preprocessing.collections.stats</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.html#module-sup3r.preprocessing.data_handlers">sup3r.preprocessing.data_handlers</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.html#module-sup3r.preprocessing.data_handlers.exo">sup3r.preprocessing.data_handlers.exo</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.html#module-sup3r.preprocessing.data_handlers.factory">sup3r.preprocessing.data_handlers.factory</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.html#module-sup3r.preprocessing.data_handlers.nc_cc">sup3r.preprocessing.data_handlers.nc_cc</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.html#module-sup3r.preprocessing.derivers">sup3r.preprocessing.derivers</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.base.html#module-sup3r.preprocessing.derivers.base">sup3r.preprocessing.derivers.base</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.html#module-sup3r.preprocessing.derivers.methods">sup3r.preprocessing.derivers.methods</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.utilities.html#module-sup3r.preprocessing.derivers.utilities">sup3r.preprocessing.derivers.utilities</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.html#module-sup3r.preprocessing.loaders">sup3r.preprocessing.loaders</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.base.html#module-sup3r.preprocessing.loaders.base">sup3r.preprocessing.loaders.base</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.h5.html#module-sup3r.preprocessing.loaders.h5">sup3r.preprocessing.loaders.h5</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.nc.html#module-sup3r.preprocessing.loaders.nc">sup3r.preprocessing.loaders.nc</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.utilities.html#module-sup3r.preprocessing.loaders.utilities">sup3r.preprocessing.loaders.utilities</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.names.html#module-sup3r.preprocessing.names">sup3r.preprocessing.names</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.html#module-sup3r.preprocessing.rasterizers">sup3r.preprocessing.rasterizers</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.base.html#module-sup3r.preprocessing.rasterizers.base">sup3r.preprocessing.rasterizers.base</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.dual.html#module-sup3r.preprocessing.rasterizers.dual">sup3r.preprocessing.rasterizers.dual</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.html#module-sup3r.preprocessing.rasterizers.exo">sup3r.preprocessing.rasterizers.exo</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.extended.html#module-sup3r.preprocessing.rasterizers.extended">sup3r.preprocessing.rasterizers.extended</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.html#module-sup3r.preprocessing.samplers">sup3r.preprocessing.samplers</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.base.html#module-sup3r.preprocessing.samplers.base">sup3r.preprocessing.samplers.base</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.cc.html#module-sup3r.preprocessing.samplers.cc">sup3r.preprocessing.samplers.cc</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dc.html#module-sup3r.preprocessing.samplers.dc">sup3r.preprocessing.samplers.dc</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dual.html#module-sup3r.preprocessing.samplers.dual">sup3r.preprocessing.samplers.dual</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.utilities.html#module-sup3r.preprocessing.samplers.utilities">sup3r.preprocessing.samplers.utilities</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.utilities.html#module-sup3r.preprocessing.utilities">sup3r.preprocessing.utilities</a>
+</li>
+        <li><a href="_autosummary/sup3r.qa.html#module-sup3r.qa">sup3r.qa</a>
+</li>
+        <li><a href="_autosummary/sup3r.qa.qa.html#module-sup3r.qa.qa">sup3r.qa.qa</a>
+</li>
+        <li><a href="_autosummary/sup3r.qa.qa_cli.html#module-sup3r.qa.qa_cli">sup3r.qa.qa_cli</a>
+</li>
+        <li><a href="_autosummary/sup3r.qa.utilities.html#module-sup3r.qa.utilities">sup3r.qa.utilities</a>
+</li>
+        <li><a href="_autosummary/sup3r.solar.html#module-sup3r.solar">sup3r.solar</a>
+</li>
+        <li><a href="_autosummary/sup3r.solar.solar.html#module-sup3r.solar.solar">sup3r.solar.solar</a>
+</li>
+        <li><a href="_autosummary/sup3r.solar.solar_cli.html#module-sup3r.solar.solar_cli">sup3r.solar.solar_cli</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.html#module-sup3r.utilities">sup3r.utilities</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.cli.html#module-sup3r.utilities.cli">sup3r.utilities.cli</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.era_downloader.html#module-sup3r.utilities.era_downloader">sup3r.utilities.era_downloader</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.interpolation.html#module-sup3r.utilities.interpolation">sup3r.utilities.interpolation</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.html#module-sup3r.utilities.loss_metrics">sup3r.utilities.loss_metrics</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.html#module-sup3r.utilities.pytest">sup3r.utilities.pytest</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.html#module-sup3r.utilities.pytest.helpers">sup3r.utilities.pytest.helpers</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.utilities.html#module-sup3r.utilities.utilities">sup3r.utilities.utilities</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName">ModuleName (class in sup3r.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.monthly_file">monthly_file (EraDownloader property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.bias_transforms.monthly_local_linear_bc.html#sup3r.bias.bias_transforms.monthly_local_linear_bc">monthly_local_linear_bc() (in module sup3r.bias.bias_transforms)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyLinearCorrection.html#sup3r.bias.bias_calc.MonthlyLinearCorrection">MonthlyLinearCorrection (class in sup3r.bias.bias_calc)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyScalarCorrection.html#sup3r.bias.bias_calc.MonthlyScalarCorrection">MonthlyScalarCorrection (class in sup3r.bias.bias_calc)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.base.Sup3rMeta.html#sup3r.preprocessing.base.Sup3rMeta.mro">mro() (Sup3rMeta method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.loss_metrics.MseExpLoss.html#sup3r.utilities.loss_metrics.MseExpLoss">MseExpLoss (class in sup3r.utilities.loss_metrics)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan">MultiStepGan (class in sup3r.models.multi_step)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan">MultiStepSurfaceMetGan (class in sup3r.models.multi_step)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="N">N</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.n_chunks">n_chunks (ForwardPassSlicer property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.n_spatial_chunks">n_spatial_chunks (ForwardPassSlicer property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.n_time_chunks">n_time_chunks (ForwardPassSlicer property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.name">name (Sup3rX property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.nn">nn (BaseExoRasterizer property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.nn">(ExoRasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.nn">(ExoRasterizerH5 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.nn">(ExoRasterizerNC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.SzaRasterizer.html#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.nn">(SzaRasterizer property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.utilities.nn_fill_array.html#sup3r.utilities.utilities.nn_fill_array">nn_fill_array() (in module sup3r.utilities.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver.no_overlap">no_overlap() (BaseDeriver method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DailyDataHandler.html#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.no_overlap">(DailyDataHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandler.html#sup3r.preprocessing.data_handlers.factory.DataHandler.no_overlap">(DataHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.no_overlap">(DataHandlerH5SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.no_overlap">(DataHandlerH5WindCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.no_overlap">(DataHandlerNCforCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.no_overlap">(DataHandlerNCforCCwithPowerLaw method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.base.Deriver.html#sup3r.preprocessing.derivers.base.Deriver.no_overlap">(Deriver method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.node_chunks">node_chunks (ForwardPassStrategy property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.node_finished">node_finished() (ForwardPassStrategy method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.norm_input">norm_input() (AbstractSingleModel method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.norm_input">(SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.norm_input">(Sup3rCondMom method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.norm_input">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.norm_input">(Sup3rGanDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.collections.stats.StatsCollection.html#sup3r.preprocessing.collections.stats.StatsCollection.normalize">normalize() (StatsCollection method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset.normalize">(Sup3rDataset method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.normalize">(Sup3rX method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.samplers.utilities.nsrdb_reduce_daily_data.html#sup3r.preprocessing.samplers.utilities.nsrdb_reduce_daily_data">nsrdb_reduce_daily_data() (in module sup3r.preprocessing.samplers.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.samplers.utilities.nsrdb_sub_daily_sampler.html#sup3r.preprocessing.samplers.utilities.nsrdb_sub_daily_sampler">nsrdb_sub_daily_sampler() (in module sup3r.preprocessing.samplers.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.nsrdb_tslice">nsrdb_tslice (Solar property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc.LinearCorrection.html#sup3r.bias.bias_calc.LinearCorrection.NT">NT (LinearCorrection attribute)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyLinearCorrection.html#sup3r.bias.bias_calc.MonthlyLinearCorrection.NT">(MonthlyLinearCorrection attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyScalarCorrection.html#sup3r.bias.bias_calc.MonthlyScalarCorrection.NT">(MonthlyScalarCorrection attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.ScalarCorrection.html#sup3r.bias.bias_calc.ScalarCorrection.NT">(ScalarCorrection attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.SkillAssessment.html#sup3r.bias.bias_calc.SkillAssessment.NT">(SkillAssessment attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.utilities.numpy_if_tensor.html#sup3r.preprocessing.utilities.numpy_if_tensor">numpy_if_tensor() (in module sup3r.preprocessing.utilities)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="O">O</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.open_dataset">open_dataset() (RexOutputs method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.optimizer">optimizer (AbstractSingleModel property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.optimizer">(SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.optimizer">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.optimizer">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.optimizer">(Sup3rGanDC property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.optimizer_disc">optimizer_disc (SolarCC property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.optimizer_disc">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.optimizer_disc">(Sup3rGanDC property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.order">order() (Dimension class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.ordered">ordered() (Sup3rX method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.utilities.ordered_array.html#sup3r.preprocessing.utilities.ordered_array">ordered_array() (in module sup3r.preprocessing.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.utilities.ordered_dims.html#sup3r.preprocessing.utilities.ordered_dims">ordered_dims() (in module sup3r.preprocessing.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.out_features">out_features (VortexMeanPrepper property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.out_files">out_files (ForwardPassStrategy property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.out_of_bounds">out_of_bounds (Solar property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.ConditionalBatch.output">output (BatchHandlerMom1.ConditionalBatch attribute)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.ConditionalBatch.output">(BatchHandlerMom1SF.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.ConditionalBatch.output">(BatchHandlerMom2.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.ConditionalBatch.output">(BatchHandlerMom2Sep.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.ConditionalBatch.output">(BatchHandlerMom2SepSF.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.ConditionalBatch.output">(ConditionalBatchQueue.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch.output">(QueueMom1.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch.output">(QueueMom1SF.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch.output">(QueueMom2.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch.output">(QueueMom2Sep.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch.output">(QueueMom2SepSF.ConditionalBatch attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch.output">(QueueMom2SF.ConditionalBatch attribute)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.output_files">output_files (VortexMeanPrepper property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.qa.qa.Sup3rQa.html#sup3r.qa.qa.Sup3rQa.output_names">output_names (Sup3rQa property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.output_resolution">output_resolution (AbstractInterface property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.output_resolution">(LinearInterp property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.output_resolution">(MultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.output_resolution">(MultiStepSurfaceMetGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.output_resolution">(SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.output_resolution">(SolarMultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.output_resolution">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.output_resolution">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.output_resolution">(Sup3rGanDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.output_resolution">(SurfaceSpatialMetModel property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.qa.qa.Sup3rQa.html#sup3r.qa.qa.Sup3rQa.output_type">output_type (Sup3rQa property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler">OutputHandler (class in sup3r.postprocessing.writers.base)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.h5.OutputHandlerH5.html#sup3r.postprocessing.writers.h5.OutputHandlerH5">OutputHandlerH5 (class in sup3r.postprocessing.writers.h5)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.nc.OutputHandlerNC.html#sup3r.postprocessing.writers.nc.OutputHandlerNC">OutputHandlerNC (class in sup3r.postprocessing.writers.nc)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.OutputMixin.html#sup3r.postprocessing.writers.base.OutputMixin">OutputMixin (class in sup3r.postprocessing.writers.base)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="P">P</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.package">package (RexOutputs property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler.pad_lat_lon">pad_lat_lon() (OutputHandler static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.h5.OutputHandlerH5.html#sup3r.postprocessing.writers.h5.OutputHandlerH5.pad_lat_lon">(OutputHandlerH5 static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.nc.OutputHandlerNC.html#sup3r.postprocessing.writers.nc.OutputHandlerNC.pad_lat_lon">(OutputHandlerNC static method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.pipeline.forward_pass.ForwardPass.html#sup3r.pipeline.forward_pass.ForwardPass.pad_source_data">pad_source_data() (ForwardPass method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.cachers.base.Cacher.html#sup3r.preprocessing.cachers.base.Cacher.parse_chunks">parse_chunks() (Cacher static method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.utilities.parse_ellipsis.html#sup3r.preprocessing.utilities.parse_ellipsis">parse_ellipsis() (in module sup3r.preprocessing.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.utilities.parse_feature.html#sup3r.preprocessing.derivers.utilities.parse_feature">parse_feature() (in module sup3r.preprocessing.derivers.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.utilities.parse_features.html#sup3r.preprocessing.utilities.parse_features">parse_features() (in module sup3r.preprocessing.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.utilities.parse_keys.html#sup3r.preprocessing.utilities.parse_keys">parse_keys() (in module sup3r.preprocessing.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.cli.SlurmManager.html#sup3r.utilities.cli.SlurmManager.parse_queue_str">parse_queue_str() (SlurmManager class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.utilities.parse_to_list.html#sup3r.preprocessing.utilities.parse_to_list">parse_to_list() (in module sup3r.preprocessing.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.partition">partition() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.partition">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.utilities.pd_date_range.html#sup3r.utilities.utilities.pd_date_range">pd_date_range() (in module sup3r.utilities.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc.SkillAssessment.html#sup3r.bias.bias_calc.SkillAssessment.PERCENTILES">PERCENTILES (SkillAssessment attribute)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.ExoData.html#sup3r.preprocessing.data_handlers.exo.ExoData.pop">pop() (ExoData method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.html#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.pop">(SingleExoDataStep method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.ExoData.html#sup3r.preprocessing.data_handlers.exo.ExoData.popitem">popitem() (ExoData method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.html#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.popitem">(SingleExoDataStep method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.post_init_log">post_init_log() (AbstractBatchQueue method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver.post_init_log">(BaseDeriver method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.base.BaseLoader.html#sup3r.preprocessing.loaders.base.BaseLoader.post_init_log">(BaseLoader method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.base.BaseRasterizer.html#sup3r.preprocessing.rasterizers.base.BaseRasterizer.post_init_log">(BaseRasterizer method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.post_init_log">(BatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.post_init_log">(BatchHandlerCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.post_init_log">(BatchHandlerDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.post_init_log">(BatchHandlerMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.post_init_log">(BatchHandlerMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.post_init_log">(BatchHandlerMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.post_init_log">(BatchHandlerMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.post_init_log">(BatchHandlerMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.post_init_log">(BatchHandlerTesterCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.post_init_log">(BatchHandlerTesterDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.post_init_log">(BatchQueueDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.cachers.base.Cacher.html#sup3r.preprocessing.cachers.base.Cacher.post_init_log">(Cacher method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection.post_init_log">(Collection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.post_init_log">(ConditionalBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container.post_init_log">(Container method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DailyDataHandler.html#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.post_init_log">(DailyDataHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandler.html#sup3r.preprocessing.data_handlers.factory.DataHandler.post_init_log">(DataHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.post_init_log">(DataHandlerH5SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.post_init_log">(DataHandlerH5WindCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.post_init_log">(DataHandlerNCforCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.post_init_log">(DataHandlerNCforCCwithPowerLaw method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.base.Deriver.html#sup3r.preprocessing.derivers.base.Deriver.post_init_log">(Deriver method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.post_init_log">(DualBatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.post_init_log">(DualBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.dual.DualRasterizer.html#sup3r.preprocessing.rasterizers.dual.DualRasterizer.post_init_log">(DualRasterizer method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler.post_init_log">(DualSampler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.html#sup3r.preprocessing.samplers.cc.DualSamplerCC.post_init_log">(DualSamplerCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.DummyData.html#sup3r.utilities.pytest.helpers.DummyData.post_init_log">(DummyData method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.DummySampler.html#sup3r.utilities.pytest.helpers.DummySampler.post_init_log">(DummySampler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.h5.LoaderH5.html#sup3r.preprocessing.loaders.h5.LoaderH5.post_init_log">(LoaderH5 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.nc.LoaderNC.html#sup3r.preprocessing.loaders.nc.LoaderNC.post_init_log">(LoaderNC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.post_init_log">(QueueMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.post_init_log">(QueueMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.post_init_log">(QueueMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.post_init_log">(QueueMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.post_init_log">(QueueMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.post_init_log">(QueueMom2SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer.post_init_log">(Rasterizer method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler.post_init_log">(Sampler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dc.SamplerDC.html#sup3r.preprocessing.samplers.dc.SamplerDC.post_init_log">(SamplerDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.SamplerTester.html#sup3r.utilities.pytest.helpers.SamplerTester.post_init_log">(SamplerTester method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.post_init_log">(SingleBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.collections.stats.StatsCollection.html#sup3r.preprocessing.collections.stats.StatsCollection.post_init_log">(StatsCollection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.post_init_log">(ValBatchQueueDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.post_proc">post_proc() (AbstractBatchQueue method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.post_proc">(BatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.post_proc">(BatchHandlerCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.post_proc">(BatchHandlerDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.post_proc">(BatchHandlerMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.post_proc">(BatchHandlerMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.post_proc">(BatchHandlerMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.post_proc">(BatchHandlerMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.post_proc">(BatchHandlerMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.post_proc">(BatchHandlerTesterCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.post_proc">(BatchHandlerTesterDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.post_proc">(BatchQueueDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.post_proc">(ConditionalBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.post_proc">(DualBatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.post_proc">(DualBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.post_proc">(QueueMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.post_proc">(QueueMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.post_proc">(QueueMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.post_proc">(QueueMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.post_proc">(QueueMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.post_proc">(QueueMom2SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.post_proc">(SingleBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.post_proc">(ValBatchQueueDC method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.bias.base.DataRetrievalBase.html#sup3r.bias.base.DataRetrievalBase.pre_load">pre_load() (DataRetrievalBase method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.LinearCorrection.html#sup3r.bias.bias_calc.LinearCorrection.pre_load">(LinearCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyLinearCorrection.html#sup3r.bias.bias_calc.MonthlyLinearCorrection.pre_load">(MonthlyLinearCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyScalarCorrection.html#sup3r.bias.bias_calc.MonthlyScalarCorrection.pre_load">(MonthlyScalarCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat.pre_load">(PresRat method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.html#sup3r.bias.qdm.QuantileDeltaMappingCorrection.pre_load">(QuantileDeltaMappingCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.ScalarCorrection.html#sup3r.bias.bias_calc.ScalarCorrection.pre_load">(ScalarCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.SkillAssessment.html#sup3r.bias.bias_calc.SkillAssessment.pre_load">(SkillAssessment method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.preflight">preflight() (AbstractBatchQueue method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.preflight">(BatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.preflight">(BatchHandlerCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.preflight">(BatchHandlerDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.preflight">(BatchHandlerMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.preflight">(BatchHandlerMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.preflight">(BatchHandlerMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.preflight">(BatchHandlerMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.preflight">(BatchHandlerMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.preflight">(BatchHandlerTesterCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.preflight">(BatchHandlerTesterDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.preflight">(BatchQueueDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.preflight">(ConditionalBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.preflight">(DualBatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.preflight">(DualBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler.preflight">(DualSampler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.html#sup3r.preprocessing.samplers.cc.DualSamplerCC.preflight">(DualSamplerCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.DummySampler.html#sup3r.utilities.pytest.helpers.DummySampler.preflight">(DummySampler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.preflight">(ForwardPassStrategy method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.preflight">(QueueMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.preflight">(QueueMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.preflight">(QueueMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.preflight">(QueueMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.preflight">(QueueMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.preflight">(QueueMom2SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler.preflight">(Sampler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dc.SamplerDC.html#sup3r.preprocessing.samplers.dc.SamplerDC.preflight">(SamplerDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.SamplerTester.html#sup3r.utilities.pytest.helpers.SamplerTester.preflight">(SamplerTester method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.preflight">(SingleBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.preflight">(Solar method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.preflight">(SolarMultiStepGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.preflight">(ValBatchQueueDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.preload_SAM">preload_SAM() (RexOutputs class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.prep_chunk_data">prep_chunk_data() (ForwardPassStrategy method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.prep_var_lists">prep_var_lists() (EraDownloader method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.utilities.preprocess_datasets.html#sup3r.utilities.utilities.preprocess_datasets">preprocess_datasets() (in module sup3r.utilities.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.PRES_DIV">PRES_DIV (SurfaceSpatialMetModel attribute)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.PRES_EXP">PRES_EXP (SurfaceSpatialMetModel attribute)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat">PresRat (class in sup3r.bias.presrat)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.PressureWRF.html#sup3r.preprocessing.derivers.methods.PressureWRF">PressureWRF (class in sup3r.preprocessing.derivers.methods)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.process_and_combine">process_and_combine() (EraDownloader method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.process_level_file">process_level_file() (EraDownloader method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.process_surface_file">process_surface_file() (EraDownloader method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.profile_to_tensorboard">profile_to_tensorboard() (AbstractSingleModel method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.profile_to_tensorboard">(SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.profile_to_tensorboard">(Sup3rCondMom method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.profile_to_tensorboard">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.profile_to_tensorboard">(Sup3rGanDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.abstract.TensorboardMixIn.html#sup3r.models.abstract.TensorboardMixIn.profile_to_tensorboard">(TensorboardMixIn method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="Q">Q</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.qa">qa() (Sup3rX method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.utilities.qdm_bc.html#sup3r.bias.utilities.qdm_bc">qdm_bc() (in module sup3r.bias.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.html#sup3r.bias.qdm.QuantileDeltaMappingCorrection">QuantileDeltaMappingCorrection (class in sup3r.bias.qdm)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.cli.SlurmManager.html#sup3r.utilities.cli.SlurmManager.query_queue">query_queue() (SlurmManager class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.cli.SlurmManager.html#sup3r.utilities.cli.SlurmManager.queue">queue (SlurmManager property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.cli.SlurmManager.html#sup3r.utilities.cli.SlurmManager.queue_job_ids">queue_job_ids (SlurmManager property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.cli.SlurmManager.html#sup3r.utilities.cli.SlurmManager.queue_job_names">queue_job_names (SlurmManager property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.queue_shape">queue_shape (AbstractBatchQueue property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.queue_shape">(BatchHandler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.queue_shape">(BatchHandlerCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.queue_shape">(BatchHandlerDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.queue_shape">(BatchHandlerMom1 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.queue_shape">(BatchHandlerMom1SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.queue_shape">(BatchHandlerMom2 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.queue_shape">(BatchHandlerMom2Sep property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.queue_shape">(BatchHandlerMom2SepSF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.queue_shape">(BatchHandlerTesterCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.queue_shape">(BatchHandlerTesterDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.queue_shape">(BatchQueueDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.queue_shape">(ConditionalBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.queue_shape">(DualBatchHandler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.queue_shape">(DualBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.queue_shape">(QueueMom1 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.queue_shape">(QueueMom1SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.queue_shape">(QueueMom2 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.queue_shape">(QueueMom2Sep property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.queue_shape">(QueueMom2SepSF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.queue_shape">(QueueMom2SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.queue_shape">(SingleBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.queue_shape">(ValBatchQueueDC property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.queue_thread">queue_thread (AbstractBatchQueue property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.queue_thread">(BatchHandler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.queue_thread">(BatchHandlerCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.queue_thread">(BatchHandlerDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.queue_thread">(BatchHandlerMom1 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.queue_thread">(BatchHandlerMom1SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.queue_thread">(BatchHandlerMom2 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.queue_thread">(BatchHandlerMom2Sep property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.queue_thread">(BatchHandlerMom2SepSF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.queue_thread">(BatchHandlerTesterCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.queue_thread">(BatchHandlerTesterDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.queue_thread">(BatchQueueDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.queue_thread">(ConditionalBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.queue_thread">(DualBatchHandler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.queue_thread">(DualBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.queue_thread">(QueueMom1 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.queue_thread">(QueueMom1SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.queue_thread">(QueueMom2 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.queue_thread">(QueueMom2Sep property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.queue_thread">(QueueMom2SepSF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.queue_thread">(QueueMom2SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.queue_thread">(SingleBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.queue_thread">(ValBatchQueueDC property)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1">QueueMom1 (class in sup3r.preprocessing.batch_queues.conditional)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.Batch">QueueMom1.Batch (class in sup3r.preprocessing.batch_queues.conditional)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.ConditionalBatch">QueueMom1.ConditionalBatch (class in sup3r.preprocessing.batch_queues.conditional)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF">QueueMom1SF (class in sup3r.preprocessing.batch_queues.conditional)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.Batch">QueueMom1SF.Batch (class in sup3r.preprocessing.batch_queues.conditional)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.ConditionalBatch">QueueMom1SF.ConditionalBatch (class in sup3r.preprocessing.batch_queues.conditional)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2">QueueMom2 (class in sup3r.preprocessing.batch_queues.conditional)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.Batch">QueueMom2.Batch (class in sup3r.preprocessing.batch_queues.conditional)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.ConditionalBatch">QueueMom2.ConditionalBatch (class in sup3r.preprocessing.batch_queues.conditional)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep">QueueMom2Sep (class in sup3r.preprocessing.batch_queues.conditional)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.Batch">QueueMom2Sep.Batch (class in sup3r.preprocessing.batch_queues.conditional)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.ConditionalBatch">QueueMom2Sep.ConditionalBatch (class in sup3r.preprocessing.batch_queues.conditional)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF">QueueMom2SepSF (class in sup3r.preprocessing.batch_queues.conditional)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.Batch">QueueMom2SepSF.Batch (class in sup3r.preprocessing.batch_queues.conditional)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.ConditionalBatch">QueueMom2SepSF.ConditionalBatch (class in sup3r.preprocessing.batch_queues.conditional)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF">QueueMom2SF (class in sup3r.preprocessing.batch_queues.conditional)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.Batch">QueueMom2SF.Batch (class in sup3r.preprocessing.batch_queues.conditional)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.ConditionalBatch">QueueMom2SF.ConditionalBatch (class in sup3r.preprocessing.batch_queues.conditional)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="R">R</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.base.BaseRasterizer.html#sup3r.preprocessing.rasterizers.base.BaseRasterizer.rasterize_data">rasterize_data() (BaseRasterizer method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer.rasterize_data">(Rasterizer method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer">Rasterizer (class in sup3r.preprocessing.rasterizers.extended)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.html#sup3r.preprocessing.samplers.cc.DualSamplerCC.reduce_high_res_sub_daily">reduce_high_res_sub_daily() (DualSamplerCC method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.base.Sup3rMeta.html#sup3r.preprocessing.base.Sup3rMeta.register">register() (Sup3rMeta method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.cli.SlurmManager.html#sup3r.utilities.cli.SlurmManager.release">release() (SlurmManager method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.removeprefix">removeprefix() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.removeprefix">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.removesuffix">removesuffix() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.removesuffix">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.replace">replace() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.replace">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.res_dsets">res_dsets (RexOutputs property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.resource_datasets">resource_datasets (RexOutputs property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset.rewrap">rewrap() (Sup3rDataset method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs">RexOutputs (class in sup3r.postprocessing.writers.base)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.rfind">rfind() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.rfind">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.rindex">rindex() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.rindex">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.rjust">rjust() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.rjust">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.cli.SlurmManager.html#sup3r.utilities.cli.SlurmManager.rm">rm() (SlurmManager static method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.rpartition">rpartition() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.rpartition">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.rsplit">rsplit() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.rsplit">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.rstrip">rstrip() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.rstrip">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.html#sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.run">run() (BiasCorrectUpdate class method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.run">(EraDownloader class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.pipeline.forward_pass.ForwardPass.html#sup3r.pipeline.forward_pass.ForwardPass.run">(ForwardPass class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.LinearCorrection.html#sup3r.bias.bias_calc.LinearCorrection.run">(LinearCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyLinearCorrection.html#sup3r.bias.bias_calc.MonthlyLinearCorrection.run">(MonthlyLinearCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyScalarCorrection.html#sup3r.bias.bias_calc.MonthlyScalarCorrection.run">(MonthlyScalarCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat.run">(PresRat method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.html#sup3r.bias.qdm.QuantileDeltaMappingCorrection.run">(QuantileDeltaMappingCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.ScalarCorrection.html#sup3r.bias.bias_calc.ScalarCorrection.run">(ScalarCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.SkillAssessment.html#sup3r.bias.bias_calc.SkillAssessment.run">(SkillAssessment method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.qa.qa.Sup3rQa.html#sup3r.qa.qa.Sup3rQa.run">(Sup3rQa method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.utilities.TrainingSession.html#sup3r.models.utilities.TrainingSession.run">(TrainingSession method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.run">(VortexMeanPrepper class method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.run_attrs">run_attrs (RexOutputs property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.forward_pass.ForwardPass.html#sup3r.pipeline.forward_pass.ForwardPass.run_chunk">run_chunk() (ForwardPass class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.run_for_var">run_for_var() (EraDownloader class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.forward_pass.ForwardPass.html#sup3r.pipeline.forward_pass.ForwardPass.run_generator">run_generator() (ForwardPass class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.run_gradient_descent">run_gradient_descent() (AbstractSingleModel method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.run_gradient_descent">(SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.run_gradient_descent">(Sup3rCondMom method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.run_gradient_descent">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.run_gradient_descent">(Sup3rGanDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.run_input_checks">run_input_checks() (DataHandlerNCforCC method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.run_input_checks">(DataHandlerNCforCCwithPowerLaw method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.run_month">run_month() (EraDownloader class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.run_qa">run_qa() (EraDownloader class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.run_temporal_chunks">run_temporal_chunks() (Solar class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.run_wrap_checks">run_wrap_checks() (DataHandlerNCforCC method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.run_wrap_checks">(DataHandlerNCforCCwithPowerLaw method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.running">running (AbstractBatchQueue property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.running">(BatchHandler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.running">(BatchHandlerCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.running">(BatchHandlerDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.running">(BatchHandlerMom1 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.running">(BatchHandlerMom1SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.running">(BatchHandlerMom2 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.running">(BatchHandlerMom2Sep property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.running">(BatchHandlerMom2SepSF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.running">(BatchHandlerTesterCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.running">(BatchHandlerTesterDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.running">(BatchQueueDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.running">(ConditionalBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.running">(DualBatchHandler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.running">(DualBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.running">(QueueMom1 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.running">(QueueMom1SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.running">(QueueMom2 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.running">(QueueMom2Sep property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.running">(QueueMom2SepSF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.running">(QueueMom2SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.running">(SingleBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.running">(ValBatchQueueDC property)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="S">S</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.utilities.cli.SlurmManager.html#sup3r.utilities.cli.SlurmManager.s">s() (SlurmManager static method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.s1_hr_slices">s1_hr_slices (ForwardPassSlicer property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.s1_lr_pad_slices">s1_lr_pad_slices (ForwardPassSlicer property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.s1_lr_slices">s1_lr_slices (ForwardPassSlicer property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.s2_hr_slices">s2_hr_slices (ForwardPassSlicer property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.s2_lr_pad_slices">s2_lr_pad_slices (ForwardPassSlicer property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.s2_lr_slices">s2_lr_slices (ForwardPassSlicer property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.s_enhance">s_enhance (AbstractInterface property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.s_enhance">(LinearInterp property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.s_enhance">(MultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.s_enhance">(MultiStepSurfaceMetGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.s_enhance">(SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.s_enhance">(SolarMultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.s_enhance">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.s_enhance">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.s_enhance">(Sup3rGanDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.s_enhance">(SurfaceSpatialMetModel property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.s_enhancements">s_enhancements (AbstractInterface property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.s_enhancements">(LinearInterp property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.s_enhancements">(MultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.s_enhancements">(MultiStepSurfaceMetGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.s_enhancements">(SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.s_enhancements">(SolarMultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.s_enhancements">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.s_enhancements">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.s_enhancements">(Sup3rGanDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.s_enhancements">(SurfaceSpatialMetModel property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.s_hr_crop_slices">s_hr_crop_slices (ForwardPassSlicer property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.s_hr_slices">s_hr_slices (ForwardPassSlicer property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.s_lr_crop_slices">s_lr_crop_slices (ForwardPassSlicer property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.s_lr_pad_slices">s_lr_pad_slices (ForwardPassSlicer property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.s_lr_slices">s_lr_slices (ForwardPassSlicer property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.utilities.safe_cast.html#sup3r.utilities.utilities.safe_cast">safe_cast() (in module sup3r.utilities.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.utilities.safe_serialize.html#sup3r.utilities.utilities.safe_serialize">safe_serialize() (in module sup3r.utilities.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.SAM_configs">SAM_configs (RexOutputs property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset.sample">sample() (Sup3rDataset method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.sample">(Sup3rX method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.sample_batch">sample_batch() (AbstractBatchQueue method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.sample_batch">(BatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.sample_batch">(BatchHandlerCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.sample_batch">(BatchHandlerDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.sample_batch">(BatchHandlerMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.sample_batch">(BatchHandlerMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.sample_batch">(BatchHandlerMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.sample_batch">(BatchHandlerMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.sample_batch">(BatchHandlerMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.sample_batch">(BatchHandlerTesterCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.sample_batch">(BatchHandlerTesterDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.sample_batch">(BatchQueueDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.sample_batch">(ConditionalBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.sample_batch">(DualBatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.sample_batch">(DualBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.sample_batch">(QueueMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.sample_batch">(QueueMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.sample_batch">(QueueMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.sample_batch">(QueueMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.sample_batch">(QueueMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.sample_batch">(QueueMom2SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.sample_batch">(SingleBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.sample_batch">(ValBatchQueueDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler.sample_shape">sample_shape (DualSampler property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.html#sup3r.preprocessing.samplers.cc.DualSamplerCC.sample_shape">(DualSamplerCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.DummySampler.html#sup3r.utilities.pytest.helpers.DummySampler.sample_shape">(DummySampler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler.sample_shape">(Sampler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dc.SamplerDC.html#sup3r.preprocessing.samplers.dc.SamplerDC.sample_shape">(SamplerDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.SamplerTester.html#sup3r.utilities.pytest.helpers.SamplerTester.sample_shape">(SamplerTester property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.SAMPLER">SAMPLER (BatchHandler attribute)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.SAMPLER">(BatchHandlerCC attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.SAMPLER">(BatchHandlerDC attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.SAMPLER">(BatchHandlerMom1 attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.SAMPLER">(BatchHandlerMom1SF attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.SAMPLER">(BatchHandlerMom2 attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.SAMPLER">(BatchHandlerMom2Sep attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.SAMPLER">(BatchHandlerMom2SepSF attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.SAMPLER">(BatchHandlerTesterCC attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.SAMPLER">(BatchHandlerTesterDC attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler">Sampler (class in sup3r.preprocessing.samplers.base)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.SAMPLER">SAMPLER (DualBatchHandler attribute)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.samplers.dc.SamplerDC.html#sup3r.preprocessing.samplers.dc.SamplerDC">SamplerDC (class in sup3r.preprocessing.samplers.dc)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.pytest.helpers.SamplerTester.html#sup3r.utilities.pytest.helpers.SamplerTester">SamplerTester (class in sup3r.utilities.pytest.helpers)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.pytest.helpers.SamplerTesterDC.html#sup3r.utilities.pytest.helpers.SamplerTesterDC">SamplerTesterDC (in module sup3r.utilities.pytest.helpers)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.save">save() (AbstractSingleModel method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.save">(LinearInterp method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.save">(SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.save">(Sup3rCondMom method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.save">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.save">(Sup3rGanDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.save">(SurfaceSpatialMetModel method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.save_params">save_params() (AbstractInterface method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.save_params">(LinearInterp method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.save_params">(MultiStepGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.save_params">(MultiStepSurfaceMetGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.save_params">(SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.save_params">(SolarMultiStepGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.save_params">(Sup3rCondMom method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.save_params">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.save_params">(Sup3rGanDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.save_params">(SurfaceSpatialMetModel method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer.save_raster_index">save_raster_index() (Rasterizer method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.collections.stats.StatsCollection.html#sup3r.preprocessing.collections.stats.StatsCollection.save_stats">save_stats() (StatsCollection method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.cli.SlurmManager.html#sup3r.utilities.cli.SlurmManager.sbatch">sbatch() (SlurmManager method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc.ScalarCorrection.html#sup3r.bias.bias_calc.ScalarCorrection">ScalarCorrection (class in sup3r.bias.bias_calc)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.loaders.h5.LoaderH5.html#sup3r.preprocessing.loaders.h5.LoaderH5.scale_factor">scale_factor() (LoaderH5 method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.scale_factors">scale_factors (RexOutputs property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.cli.SlurmManager.html#sup3r.utilities.cli.SlurmManager.scancel">scancel() (SlurmManager method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.cli.SlurmManager.html#sup3r.utilities.cli.SlurmManager.scontrol">scontrol() (SlurmManager static method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.seed">seed() (AbstractInterface static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.seed">(LinearInterp static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.seed">(MultiStepGan static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.seed">(MultiStepSurfaceMetGan static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.seed">(SolarCC static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.seed">(SolarMultiStepGan static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.seed">(Sup3rCondMom static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.seed">(Sup3rGan static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.seed">(Sup3rGanDC static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.seed">(SurfaceSpatialMetModel static method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.set_configs">set_configs() (RexOutputs method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.set_model_params">set_model_params() (AbstractInterface method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.set_model_params">(LinearInterp method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.set_model_params">(MultiStepGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.set_model_params">(MultiStepSurfaceMetGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.set_model_params">(SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.set_model_params">(SolarMultiStepGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.set_model_params">(Sup3rCondMom method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.set_model_params">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.set_model_params">(Sup3rGanDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.set_model_params">(SurfaceSpatialMetModel method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.set_norm_stats">set_norm_stats() (AbstractSingleModel method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.set_norm_stats">(SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.set_norm_stats">(Sup3rCondMom method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.set_norm_stats">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.set_norm_stats">(Sup3rGanDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.set_version_attr">set_version_attr() (RexOutputs method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.ExoData.html#sup3r.preprocessing.data_handlers.exo.ExoData.setdefault">setdefault() (ExoData method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.html#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.setdefault">(SingleExoDataStep method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.shape">shape (AbstractBatchQueue property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver.shape">(BaseDeriver property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.base.BaseLoader.html#sup3r.preprocessing.loaders.base.BaseLoader.shape">(BaseLoader property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.base.BaseRasterizer.html#sup3r.preprocessing.rasterizers.base.BaseRasterizer.shape">(BaseRasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.shape">(BatchHandler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.shape">(BatchHandlerCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.shape">(BatchHandlerDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.shape">(BatchHandlerMom1 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.shape">(BatchHandlerMom1SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.shape">(BatchHandlerMom2 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.shape">(BatchHandlerMom2Sep property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.shape">(BatchHandlerMom2SepSF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.shape">(BatchHandlerTesterCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.shape">(BatchHandlerTesterDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.shape">(BatchQueueDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.cachers.base.Cacher.html#sup3r.preprocessing.cachers.base.Cacher.shape">(Cacher property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection.shape">(Collection property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.shape">(ConditionalBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container.shape">(Container property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DailyDataHandler.html#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.shape">(DailyDataHandler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandler.html#sup3r.preprocessing.data_handlers.factory.DataHandler.shape">(DataHandler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.shape">(DataHandlerH5SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.shape">(DataHandlerH5WindCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.shape">(DataHandlerNCforCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.shape">(DataHandlerNCforCCwithPowerLaw property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.base.Deriver.html#sup3r.preprocessing.derivers.base.Deriver.shape">(Deriver property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.shape">(DualBatchHandler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.shape">(DualBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.dual.DualRasterizer.html#sup3r.preprocessing.rasterizers.dual.DualRasterizer.shape">(DualRasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler.shape">(DualSampler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.html#sup3r.preprocessing.samplers.cc.DualSamplerCC.shape">(DualSamplerCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.DummyData.html#sup3r.utilities.pytest.helpers.DummyData.shape">(DummyData property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.DummySampler.html#sup3r.utilities.pytest.helpers.DummySampler.shape">(DummySampler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.h5.LoaderH5.html#sup3r.preprocessing.loaders.h5.LoaderH5.shape">(LoaderH5 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.nc.LoaderNC.html#sup3r.preprocessing.loaders.nc.LoaderNC.shape">(LoaderNC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.shape">(QueueMom1 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.shape">(QueueMom1SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.shape">(QueueMom2 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.shape">(QueueMom2Sep property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.shape">(QueueMom2SepSF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.shape">(QueueMom2SF property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer.shape">(Rasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.shape">(RexOutputs property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler.shape">(Sampler property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dc.SamplerDC.html#sup3r.preprocessing.samplers.dc.SamplerDC.shape">(SamplerDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.SamplerTester.html#sup3r.utilities.pytest.helpers.SamplerTester.shape">(SamplerTester property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.shape">(SingleBatchQueue property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.html#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.shape">(SingleExoDataStep property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.collections.stats.StatsCollection.html#sup3r.preprocessing.collections.stats.StatsCollection.shape">(StatsCollection property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset.shape">(Sup3rDataset property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.shape">(Sup3rX property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.shape">(ValBatchQueueDC property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.shapes">shapes (RexOutputs property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue">SingleBatchQueue (class in sup3r.preprocessing.batch_queues.base)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.Batch">SingleBatchQueue.Batch (class in sup3r.preprocessing.batch_queues.base)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.html#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep">SingleExoDataStep (class in sup3r.preprocessing.data_handlers.exo)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset.size">size (Sup3rDataset property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.size">(Sup3rX property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc.SkillAssessment.html#sup3r.bias.bias_calc.SkillAssessment">SkillAssessment (class in sup3r.bias.bias_calc)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.cli.SlurmManager.html#sup3r.utilities.cli.SlurmManager">SlurmManager (class in sup3r.utilities.cli)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.utilities.smooth_data.html#sup3r.preprocessing.batch_queues.utilities.smooth_data">smooth_data() (in module sup3r.preprocessing.batch_queues.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.smoothed_features">smoothed_features (AbstractInterface property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.smoothed_features">(LinearInterp property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.smoothed_features">(MultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.smoothed_features">(MultiStepSurfaceMetGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.smoothed_features">(SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.smoothed_features">(SolarMultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.smoothed_features">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.smoothed_features">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.smoothed_features">(Sup3rGanDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.smoothed_features">(SurfaceSpatialMetModel property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.smoothing">smoothing (AbstractInterface property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.smoothing">(LinearInterp property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.smoothing">(MultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.smoothing">(MultiStepSurfaceMetGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.smoothing">(SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.smoothing">(SolarMultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.smoothing">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.smoothing">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.smoothing">(Sup3rGanDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.smoothing">(SurfaceSpatialMetModel property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar">Solar (class in sup3r.solar.solar)</a>
+</li>
+      <li><a href="_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.solar_zenith_angle">solar_zenith_angle (Solar property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC">SolarCC (class in sup3r.models.solar_cc)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan">SolarMultiStepGan (class in sup3r.models.multi_step)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.utilities.SolarZenith.html#sup3r.preprocessing.derivers.utilities.SolarZenith">SolarZenith (class in sup3r.preprocessing.derivers.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.source">source (RexOutputs property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.source_data">source_data (BaseExoRasterizer property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.source_data">(ExoRasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.source_data">(ExoRasterizerH5 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.source_data">(ExoRasterizerNC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.SzaRasterizer.html#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.source_data">(SzaRasterizer property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.source_handler">source_handler (BaseExoRasterizer property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.source_handler">(ExoRasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.source_handler">(ExoRasterizerH5 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.source_handler">(ExoRasterizerNC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.SzaRasterizer.html#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.source_handler">(SzaRasterizer property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.source_lat_lon">source_lat_lon (BaseExoRasterizer property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.source_lat_lon">(ExoRasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.source_lat_lon">(ExoRasterizerH5 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.source_lat_lon">(ExoRasterizerNC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.SzaRasterizer.html#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.source_lat_lon">(SzaRasterizer property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.spatial_chunk_lookup">spatial_chunk_lookup (ForwardPassSlicer property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.utilities.spatial_coarsening.html#sup3r.utilities.utilities.spatial_coarsening">spatial_coarsening() (in module sup3r.utilities.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.utilities.spatial_simple_enhancing.html#sup3r.preprocessing.batch_queues.utilities.spatial_simple_enhancing">spatial_simple_enhancing() (in module sup3r.preprocessing.batch_queues.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.spatial_solar_models">spatial_solar_models (SolarMultiStepGan property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.spatial_weights">spatial_weights (BatchHandlerDC property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.spatial_weights">(BatchHandlerTesterDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.spatial_weights">(BatchQueueDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.spatial_weights">(ValBatchQueueDC property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.spatial_wind_models">spatial_wind_models (SolarMultiStepGan property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesLoss.html#sup3r.utilities.loss_metrics.SpatialExtremesLoss">SpatialExtremesLoss (class in sup3r.utilities.loss_metrics)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss.html#sup3r.utilities.loss_metrics.SpatialExtremesOnlyLoss">SpatialExtremesOnlyLoss (class in sup3r.utilities.loss_metrics)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatialFftOnlyLoss.html#sup3r.utilities.loss_metrics.SpatialFftOnlyLoss">SpatialFftOnlyLoss (class in sup3r.utilities.loss_metrics)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss.html#sup3r.utilities.loss_metrics.SpatiotemporalExtremesLoss">SpatiotemporalExtremesLoss (class in sup3r.utilities.loss_metrics)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss.html#sup3r.utilities.loss_metrics.SpatiotemporalFftOnlyLoss">SpatiotemporalFftOnlyLoss (class in sup3r.utilities.loss_metrics)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.split">split() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.ExoData.html#sup3r.preprocessing.data_handlers.exo.ExoData.split">(ExoData method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.split">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.splitlines">splitlines() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.splitlines">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.utilities.st_interp.html#sup3r.models.utilities.st_interp">st_interp() (in module sup3r.models.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.loaders.utilities.standardize_names.html#sup3r.preprocessing.loaders.utilities.standardize_names">standardize_names() (in module sup3r.preprocessing.loaders.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.loaders.utilities.standardize_values.html#sup3r.preprocessing.loaders.utilities.standardize_values">standardize_values() (in module sup3r.preprocessing.loaders.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.start">start() (AbstractBatchQueue method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.start">(BatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.start">(BatchHandlerCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.start">(BatchHandlerDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.start">(BatchHandlerMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.start">(BatchHandlerMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.start">(BatchHandlerMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.start">(BatchHandlerMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.start">(BatchHandlerMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.start">(BatchHandlerTesterCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.start">(BatchHandlerTesterDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.start">(BatchQueueDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.start">(ConditionalBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.start">(DualBatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.start">(DualBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.start">(QueueMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.start">(QueueMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.start">(QueueMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.start">(QueueMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.start">(QueueMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.start">(QueueMom2SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.start">(SingleBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.utilities.Timer.html#sup3r.utilities.utilities.Timer.start">(Timer method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.start">(ValBatchQueueDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.startswith">startswith() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.startswith">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.collections.stats.StatsCollection.html#sup3r.preprocessing.collections.stats.StatsCollection">StatsCollection (class in sup3r.preprocessing.collections.stats)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset.std">std() (Sup3rDataset method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.std">(Sup3rX method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.stdevs">stdevs (AbstractSingleModel property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.stdevs">(MultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.stdevs">(MultiStepSurfaceMetGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.stdevs">(SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.stdevs">(SolarMultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.stdevs">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.stdevs">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.stdevs">(Sup3rGanDC property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.loss_metrics.StExtremesFftLoss.html#sup3r.utilities.loss_metrics.StExtremesFftLoss">StExtremesFftLoss (class in sup3r.utilities.loss_metrics)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.stop">stop() (AbstractBatchQueue method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.stop">(BatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.stop">(BatchHandlerCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.stop">(BatchHandlerDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.stop">(BatchHandlerMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.stop">(BatchHandlerMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.stop">(BatchHandlerMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.stop">(BatchHandlerMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.stop">(BatchHandlerMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.stop">(BatchHandlerTesterCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.stop">(BatchHandlerTesterDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.stop">(BatchQueueDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.stop">(ConditionalBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.stop">(DualBatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.stop">(DualBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.stop">(QueueMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.stop">(QueueMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.stop">(QueueMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.stop">(QueueMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.stop">(QueueMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.stop">(QueueMom2SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.stop">(SingleBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.utilities.Timer.html#sup3r.utilities.utilities.Timer.stop">(Timer method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.stop">(ValBatchQueueDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.strip">strip() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.strip">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.cli.SlurmManager.html#sup3r.utilities.cli.SlurmManager.submit">submit() (SlurmManager static method)</a>
+</li>
+      <li>
+    sup3r
+
+      <ul>
+        <li><a href="_autosummary/sup3r.html#module-sup3r">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r command line option
+
+      <ul>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-c">--config_file</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-v">--verbose</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-version">--version</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-c">-c</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-v">-v</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r-batch command line option
+
+      <ul>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-batch-cancel">--cancel</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-batch-delete">--delete</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-batch-dry-run">--dry-run</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-batch-monitor-background">--monitor-background</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-batch-v">--verbose</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-batch-v">-v</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r-bias-calc command line option
+
+      <ul>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-bias-calc-v">--verbose</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-bias-calc-v">-v</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r-data-collect command line option
+
+      <ul>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-data-collect-v">--verbose</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-data-collect-v">-v</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r-forward-pass command line option
+
+      <ul>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-forward-pass-v">--verbose</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-forward-pass-v">-v</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r-pipeline command line option
+
+      <ul>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-pipeline-background">--background</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-pipeline-cancel">--cancel</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-pipeline-monitor">--monitor</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-pipeline-v">--verbose</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-pipeline-v">-v</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r-qa command line option
+
+      <ul>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-qa-v">--verbose</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-qa-v">-v</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r-solar command line option
+
+      <ul>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-solar-v">--verbose</a>
+</li>
+        <li><a href="_cli/sup3r.html#cmdoption-sup3r-solar-v">-v</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.batch
+
+      <ul>
+        <li><a href="_autosummary/sup3r.batch.html#module-sup3r.batch">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.batch.batch_cli
+
+      <ul>
+        <li><a href="_autosummary/sup3r.batch.batch_cli.html#module-sup3r.batch.batch_cli">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.bias
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.html#module-sup3r.bias">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.bias.base
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.base.html#module-sup3r.bias.base">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.bias.bias_calc
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.html#module-sup3r.bias.bias_calc">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.bias.bias_calc_cli
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.bias_calc_cli.html#module-sup3r.bias.bias_calc_cli">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.bias.bias_calc_vortex
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.html#module-sup3r.bias.bias_calc_vortex">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.bias.bias_transforms
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.bias_transforms.html#module-sup3r.bias.bias_transforms">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.bias.mixins
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.mixins.html#module-sup3r.bias.mixins">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.bias.presrat
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.presrat.html#module-sup3r.bias.presrat">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.bias.qdm
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.qdm.html#module-sup3r.bias.qdm">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.bias.utilities
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.utilities.html#module-sup3r.bias.utilities">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.cli
+
+      <ul>
+        <li><a href="_autosummary/sup3r.cli.html#module-sup3r.cli">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.models
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.html#module-sup3r.models">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.models.abstract
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.abstract.html#module-sup3r.models.abstract">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.models.base
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.base.html#module-sup3r.models.base">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.models.conditional
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.conditional.html#module-sup3r.models.conditional">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.models.dc
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.dc.html#module-sup3r.models.dc">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.models.linear
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.linear.html#module-sup3r.models.linear">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.models.multi_step
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.multi_step.html#module-sup3r.models.multi_step">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.models.solar_cc
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.solar_cc.html#module-sup3r.models.solar_cc">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.models.surface
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.surface.html#module-sup3r.models.surface">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.models.utilities
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.utilities.html#module-sup3r.models.utilities">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.pipeline
+
+      <ul>
+        <li><a href="_autosummary/sup3r.pipeline.html#module-sup3r.pipeline">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.pipeline.forward_pass
+
+      <ul>
+        <li><a href="_autosummary/sup3r.pipeline.forward_pass.html#module-sup3r.pipeline.forward_pass">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.pipeline.forward_pass_cli
+
+      <ul>
+        <li><a href="_autosummary/sup3r.pipeline.forward_pass_cli.html#module-sup3r.pipeline.forward_pass_cli">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.pipeline.pipeline_cli
+
+      <ul>
+        <li><a href="_autosummary/sup3r.pipeline.pipeline_cli.html#module-sup3r.pipeline.pipeline_cli">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.pipeline.slicer
+
+      <ul>
+        <li><a href="_autosummary/sup3r.pipeline.slicer.html#module-sup3r.pipeline.slicer">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.pipeline.strategy
+
+      <ul>
+        <li><a href="_autosummary/sup3r.pipeline.strategy.html#module-sup3r.pipeline.strategy">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.pipeline.utilities
+
+      <ul>
+        <li><a href="_autosummary/sup3r.pipeline.utilities.html#module-sup3r.pipeline.utilities">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.postprocessing
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.html#module-sup3r.postprocessing">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.postprocessing.collectors
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.collectors.html#module-sup3r.postprocessing.collectors">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.postprocessing.collectors.base
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.collectors.base.html#module-sup3r.postprocessing.collectors.base">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.postprocessing.collectors.h5
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.collectors.h5.html#module-sup3r.postprocessing.collectors.h5">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.postprocessing.collectors.nc
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.collectors.nc.html#module-sup3r.postprocessing.collectors.nc">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.postprocessing.data_collect_cli
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.data_collect_cli.html#module-sup3r.postprocessing.data_collect_cli">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.postprocessing.writers
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.html#module-sup3r.postprocessing.writers">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.postprocessing.writers.base
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.base.html#module-sup3r.postprocessing.writers.base">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.postprocessing.writers.h5
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.h5.html#module-sup3r.postprocessing.writers.h5">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.postprocessing.writers.nc
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.nc.html#module-sup3r.postprocessing.writers.nc">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.html#module-sup3r.preprocessing">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.accessor
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.accessor.html#module-sup3r.preprocessing.accessor">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.base
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.base.html#module-sup3r.preprocessing.base">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.batch_handlers
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.html#module-sup3r.preprocessing.batch_handlers">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.batch_handlers.dc
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.html#module-sup3r.preprocessing.batch_handlers.dc">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.batch_handlers.factory
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.html#module-sup3r.preprocessing.batch_handlers.factory">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.batch_queues
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.html#module-sup3r.preprocessing.batch_queues">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.batch_queues.abstract
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.html#module-sup3r.preprocessing.batch_queues.abstract">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.batch_queues.base
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.html#module-sup3r.preprocessing.batch_queues.base">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.batch_queues.conditional
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.html#module-sup3r.preprocessing.batch_queues.conditional">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.batch_queues.dc
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.html#module-sup3r.preprocessing.batch_queues.dc">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.batch_queues.dual
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.html#module-sup3r.preprocessing.batch_queues.dual">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.batch_queues.utilities
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.utilities.html#module-sup3r.preprocessing.batch_queues.utilities">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.cachers
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.cachers.html#module-sup3r.preprocessing.cachers">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.cachers.base
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.cachers.base.html#module-sup3r.preprocessing.cachers.base">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.cachers.utilities
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.cachers.utilities.html#module-sup3r.preprocessing.cachers.utilities">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.collections
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.collections.html#module-sup3r.preprocessing.collections">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.collections.base
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.collections.base.html#module-sup3r.preprocessing.collections.base">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.collections.stats
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.collections.stats.html#module-sup3r.preprocessing.collections.stats">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.data_handlers
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.html#module-sup3r.preprocessing.data_handlers">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.data_handlers.exo
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.html#module-sup3r.preprocessing.data_handlers.exo">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.data_handlers.factory
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.html#module-sup3r.preprocessing.data_handlers.factory">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.data_handlers.nc_cc
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.html#module-sup3r.preprocessing.data_handlers.nc_cc">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.derivers
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.html#module-sup3r.preprocessing.derivers">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.derivers.base
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.base.html#module-sup3r.preprocessing.derivers.base">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.derivers.methods
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.html#module-sup3r.preprocessing.derivers.methods">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.derivers.utilities
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.utilities.html#module-sup3r.preprocessing.derivers.utilities">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.loaders
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.html#module-sup3r.preprocessing.loaders">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.loaders.base
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.base.html#module-sup3r.preprocessing.loaders.base">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.loaders.h5
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.h5.html#module-sup3r.preprocessing.loaders.h5">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.loaders.nc
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.nc.html#module-sup3r.preprocessing.loaders.nc">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.loaders.utilities
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.utilities.html#module-sup3r.preprocessing.loaders.utilities">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.names
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.names.html#module-sup3r.preprocessing.names">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.rasterizers
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.html#module-sup3r.preprocessing.rasterizers">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.rasterizers.base
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.base.html#module-sup3r.preprocessing.rasterizers.base">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.rasterizers.dual
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.dual.html#module-sup3r.preprocessing.rasterizers.dual">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.rasterizers.exo
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.html#module-sup3r.preprocessing.rasterizers.exo">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.rasterizers.extended
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.extended.html#module-sup3r.preprocessing.rasterizers.extended">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.samplers
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.html#module-sup3r.preprocessing.samplers">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.samplers.base
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.base.html#module-sup3r.preprocessing.samplers.base">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.samplers.cc
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.cc.html#module-sup3r.preprocessing.samplers.cc">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.samplers.dc
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dc.html#module-sup3r.preprocessing.samplers.dc">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.samplers.dual
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dual.html#module-sup3r.preprocessing.samplers.dual">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.samplers.utilities
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.utilities.html#module-sup3r.preprocessing.samplers.utilities">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.preprocessing.utilities
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.utilities.html#module-sup3r.preprocessing.utilities">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.qa
+
+      <ul>
+        <li><a href="_autosummary/sup3r.qa.html#module-sup3r.qa">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.qa.qa
+
+      <ul>
+        <li><a href="_autosummary/sup3r.qa.qa.html#module-sup3r.qa.qa">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.qa.qa_cli
+
+      <ul>
+        <li><a href="_autosummary/sup3r.qa.qa_cli.html#module-sup3r.qa.qa_cli">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.qa.utilities
+
+      <ul>
+        <li><a href="_autosummary/sup3r.qa.utilities.html#module-sup3r.qa.utilities">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.solar
+
+      <ul>
+        <li><a href="_autosummary/sup3r.solar.html#module-sup3r.solar">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.solar.solar
+
+      <ul>
+        <li><a href="_autosummary/sup3r.solar.solar.html#module-sup3r.solar.solar">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.solar.solar_cli
+
+      <ul>
+        <li><a href="_autosummary/sup3r.solar.solar_cli.html#module-sup3r.solar.solar_cli">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.utilities
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.html#module-sup3r.utilities">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.utilities.cli
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.cli.html#module-sup3r.utilities.cli">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.utilities.era_downloader
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.era_downloader.html#module-sup3r.utilities.era_downloader">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.utilities.interpolation
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.interpolation.html#module-sup3r.utilities.interpolation">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.utilities.loss_metrics
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.loss_metrics.html#module-sup3r.utilities.loss_metrics">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.utilities.pytest
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.pytest.html#module-sup3r.utilities.pytest">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.utilities.pytest.helpers
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.html#module-sup3r.utilities.pytest.helpers">module</a>
+</li>
+      </ul></li>
+      <li>
+    sup3r.utilities.utilities
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.utilities.html#module-sup3r.utilities.utilities">module</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom">Sup3rCondMom (class in sup3r.models.conditional)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.base.Sup3rDataset.html#sup3r.preprocessing.base.Sup3rDataset">Sup3rDataset (class in sup3r.preprocessing.base)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan">Sup3rGan (class in sup3r.models.base)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC">Sup3rGanDC (class in sup3r.models.dc)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.base.Sup3rMeta.html#sup3r.preprocessing.base.Sup3rMeta">Sup3rMeta (class in sup3r.preprocessing.base)</a>
+</li>
+      <li><a href="_autosummary/sup3r.qa.qa.Sup3rQa.html#sup3r.qa.qa.Sup3rQa">Sup3rQa (class in sup3r.qa.qa)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX">Sup3rX (class in sup3r.preprocessing.accessor)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.surface_file">surface_file (EraDownloader property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.SurfaceRH.html#sup3r.preprocessing.derivers.methods.SurfaceRH">SurfaceRH (class in sup3r.preprocessing.derivers.methods)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel">SurfaceSpatialMetModel (class in sup3r.models.surface)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.swapcase">swapcase() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.swapcase">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.Sza.html#sup3r.preprocessing.derivers.methods.Sza">Sza (class in sup3r.preprocessing.derivers.methods)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.SzaRasterizer.html#sup3r.preprocessing.rasterizers.exo.SzaRasterizer">SzaRasterizer (class in sup3r.preprocessing.rasterizers.exo)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="T">T</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.t_enhance">t_enhance (AbstractInterface property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.t_enhance">(LinearInterp property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.t_enhance">(MultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.t_enhance">(MultiStepSurfaceMetGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.t_enhance">(SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.t_enhance">(SolarMultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.t_enhance">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.t_enhance">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.t_enhance">(Sup3rGanDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.t_enhance">(SurfaceSpatialMetModel property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.t_enhancements">t_enhancements (AbstractInterface property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.t_enhancements">(LinearInterp property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.t_enhancements">(MultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.t_enhancements">(MultiStepSurfaceMetGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.t_enhancements">(SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.t_enhancements">(SolarMultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.t_enhancements">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.t_enhancements">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.t_enhancements">(Sup3rGanDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.t_enhancements">(SurfaceSpatialMetModel property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.t_hr_crop_slices">t_hr_crop_slices (ForwardPassSlicer property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.t_lr_crop_slices">t_lr_crop_slices (ForwardPassSlicer property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.t_lr_pad_slices">t_lr_pad_slices (ForwardPassSlicer property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.slicer.ForwardPassSlicer.html#sup3r.pipeline.slicer.ForwardPassSlicer.t_lr_slices">t_lr_slices (ForwardPassSlicer property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.base.BaseRasterizer.html#sup3r.preprocessing.rasterizers.base.BaseRasterizer.target">target (BaseRasterizer property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer.target">(Rasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.target">(Sup3rX property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.Tas.html#sup3r.preprocessing.derivers.methods.Tas">Tas (class in sup3r.preprocessing.derivers.methods)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.TasMax.html#sup3r.preprocessing.derivers.methods.TasMax">TasMax (class in sup3r.preprocessing.derivers.methods)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.TasMin.html#sup3r.preprocessing.derivers.methods.TasMin">TasMin (class in sup3r.preprocessing.derivers.methods)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.TEMP_LAPSE">TEMP_LAPSE (SurfaceSpatialMetModel attribute)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.TempNCforCC.html#sup3r.preprocessing.derivers.methods.TempNCforCC">TempNCforCC (class in sup3r.preprocessing.derivers.methods)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.utilities.temporal_coarsening.html#sup3r.utilities.utilities.temporal_coarsening">temporal_coarsening() (in module sup3r.utilities.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.temporal_pad">temporal_pad() (SolarCC method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.temporal_pad">(SolarMultiStepGan method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.utilities.temporal_simple_enhancing.html#sup3r.preprocessing.batch_queues.utilities.temporal_simple_enhancing">temporal_simple_enhancing() (in module sup3r.preprocessing.batch_queues.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.temporal_solar_models">temporal_solar_models (SolarMultiStepGan property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.temporal_weights">temporal_weights (BatchHandlerDC property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.temporal_weights">(BatchHandlerTesterDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.temporal_weights">(BatchQueueDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.temporal_weights">(ValBatchQueueDC property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesLoss.html#sup3r.utilities.loss_metrics.TemporalExtremesLoss">TemporalExtremesLoss (class in sup3r.utilities.loss_metrics)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss.html#sup3r.utilities.loss_metrics.TemporalExtremesOnlyLoss">TemporalExtremesOnlyLoss (class in sup3r.utilities.loss_metrics)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.TensorboardMixIn.html#sup3r.models.abstract.TensorboardMixIn">TensorboardMixIn (class in sup3r.models.abstract)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.pytest.helpers.test_sampler_factory.html#sup3r.utilities.pytest.helpers.test_sampler_factory">test_sampler_factory() (in module sup3r.utilities.pytest.helpers)</a>
+</li>
+      <li><a href="_autosummary/sup3r.qa.utilities.time_derivative_dist.html#sup3r.qa.utilities.time_derivative_dist">time_derivative_dist() (in module sup3r.qa.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.time_independent">time_independent (Sup3rX property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.time_index">time_index (RexOutputs property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.time_index">(Solar property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.time_index">(Sup3rX property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.time_index">(VortexMeanPrepper property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.base.BaseRasterizer.html#sup3r.preprocessing.rasterizers.base.BaseRasterizer.time_slice">time_slice (BaseRasterizer property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer.time_slice">(Rasterizer property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.time_step">time_step (Sup3rX property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.utilities.utilities.Timer.html#sup3r.utilities.utilities.Timer">Timer (class in sup3r.utilities.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.title">title() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.title">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.qa.utilities.tke_frequency_spectrum.html#sup3r.qa.utilities.tke_frequency_spectrum">tke_frequency_spectrum() (in module sup3r.qa.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.qa.utilities.tke_wavenumber_spectrum.html#sup3r.qa.utilities.tke_wavenumber_spectrum">tke_wavenumber_spectrum() (in module sup3r.qa.utilities)</a>
+</li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.to_dataarray">to_dataarray() (Sup3rX method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.total_batches">total_batches (AbstractSingleModel property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.total_batches">(SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.total_batches">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.total_batches">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.total_batches">(Sup3rGanDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.abstract.TensorboardMixIn.html#sup3r.models.abstract.TensorboardMixIn.total_batches">(TensorboardMixIn property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.train">train() (SolarCC method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.train">(Sup3rCondMom method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.train">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.train">(Sup3rGanDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.train">(SurfaceSpatialMetModel method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.train_epoch">train_epoch() (SolarCC method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.train_epoch">(Sup3rCondMom method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.train_epoch">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.train_epoch">(Sup3rGanDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.TRAIN_QUEUE">TRAIN_QUEUE (BatchHandler attribute)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.TRAIN_QUEUE">(BatchHandlerCC attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.TRAIN_QUEUE">(BatchHandlerDC attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.TRAIN_QUEUE">(BatchHandlerMom1 attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.TRAIN_QUEUE">(BatchHandlerMom1SF attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.TRAIN_QUEUE">(BatchHandlerMom2 attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.TRAIN_QUEUE">(BatchHandlerMom2Sep attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.TRAIN_QUEUE">(BatchHandlerMom2SepSF attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.TRAIN_QUEUE">(BatchHandlerTesterCC attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.TRAIN_QUEUE">(BatchHandlerTesterDC attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.TRAIN_QUEUE">(DualBatchHandler attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.utilities.TrainingSession.html#sup3r.models.utilities.TrainingSession">TrainingSession (class in sup3r.models.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.transform">transform() (AbstractBatchQueue method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.transform">(BatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.transform">(BatchHandlerCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.transform">(BatchHandlerDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.transform">(BatchHandlerMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.transform">(BatchHandlerMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.transform">(BatchHandlerMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.transform">(BatchHandlerMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.transform">(BatchHandlerMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.transform">(BatchHandlerTesterCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.transform">(BatchHandlerTesterDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.transform">(BatchQueueDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.transform">(ConditionalBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.transform">(DualBatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.transform">(DualBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.transform">(QueueMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.transform">(QueueMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.transform">(QueueMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.transform">(QueueMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.transform">(QueueMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.transform">(QueueMom2SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.transform">(SingleBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.transform">(ValBatchQueueDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.utilities.transform_rotate_wind.html#sup3r.preprocessing.derivers.utilities.transform_rotate_wind">transform_rotate_wind() (in module sup3r.preprocessing.derivers.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.translate">translate() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.translate">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.BaseExoRasterizer.tree">tree (BaseExoRasterizer property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizer.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizer.tree">(ExoRasterizer property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerH5.tree">(ExoRasterizerH5 property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.html#sup3r.preprocessing.rasterizers.exo.ExoRasterizerNC.tree">(ExoRasterizerNC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.exo.SzaRasterizer.html#sup3r.preprocessing.rasterizers.exo.SzaRasterizer.tree">(SzaRasterizer property)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="U">U</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.un_norm_output">un_norm_output() (AbstractSingleModel method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.un_norm_output">(SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.un_norm_output">(Sup3rCondMom method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.un_norm_output">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.un_norm_output">(Sup3rGanDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.unflatten">unflatten() (Sup3rX method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.samplers.utilities.uniform_box_sampler.html#sup3r.preprocessing.samplers.utilities.uniform_box_sampler">uniform_box_sampler() (in module sup3r.preprocessing.samplers.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.samplers.utilities.uniform_time_sampler.html#sup3r.preprocessing.samplers.utilities.uniform_time_sampler">uniform_time_sampler() (in module sup3r.preprocessing.samplers.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.units">units (RexOutputs property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.pipeline.strategy.ForwardPassStrategy.html#sup3r.pipeline.strategy.ForwardPassStrategy.unmasked_chunks">unmasked_chunks (ForwardPassStrategy property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.ExoData.html#sup3r.preprocessing.data_handlers.exo.ExoData.update">update() (ExoData method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.html#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.update">(SingleExoDataStep method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.update_adversarial_weights">update_adversarial_weights() (SolarCC method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.update_adversarial_weights">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.update_adversarial_weights">(Sup3rGanDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.update_ds">update_ds() (Sup3rX method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.update_dset">update_dset() (RexOutputs method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.html#sup3r.bias.bias_calc_vortex.BiasCorrectUpdate.update_file">update_file() (BiasCorrectUpdate class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.dual.DualRasterizer.html#sup3r.preprocessing.rasterizers.dual.DualRasterizer.update_hr_data">update_hr_data() (DualRasterizer method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractSingleModel.html#sup3r.models.abstract.AbstractSingleModel.update_loss_details">update_loss_details() (AbstractSingleModel static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.update_loss_details">(SolarCC static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.update_loss_details">(Sup3rCondMom static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.update_loss_details">(Sup3rGan static method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.update_loss_details">(Sup3rGanDC static method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.preprocessing.rasterizers.dual.DualRasterizer.html#sup3r.preprocessing.rasterizers.dual.DualRasterizer.update_lr_data">update_lr_data() (DualRasterizer method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.update_optimizer">update_optimizer() (SolarCC method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.update_optimizer">(Sup3rCondMom method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.update_optimizer">(Sup3rGan method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.update_optimizer">(Sup3rGanDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.update_record">update_record() (BatchHandlerTesterDC method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.update_weights">update_weights() (BatchHandlerDC method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.update_weights">(BatchHandlerTesterDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.update_weights">(BatchQueueDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dc.SamplerDC.html#sup3r.preprocessing.samplers.dc.SamplerDC.update_weights">(SamplerDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.update_weights">(ValBatchQueueDC method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.upper">upper() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.upper">(ModuleName method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.USolar.html#sup3r.preprocessing.derivers.methods.USolar">USolar (class in sup3r.preprocessing.derivers.methods)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.UWind.html#sup3r.preprocessing.derivers.methods.UWind">UWind (class in sup3r.preprocessing.derivers.methods)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.UWindPowerLaw.html#sup3r.preprocessing.derivers.methods.UWindPowerLaw">UWindPowerLaw (class in sup3r.preprocessing.derivers.methods)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="V">V</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.VAL_QUEUE">VAL_QUEUE (BatchHandler attribute)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.VAL_QUEUE">(BatchHandlerCC attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.VAL_QUEUE">(BatchHandlerDC attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.VAL_QUEUE">(BatchHandlerMom1 attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.VAL_QUEUE">(BatchHandlerMom1SF attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.VAL_QUEUE">(BatchHandlerMom2 attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.VAL_QUEUE">(BatchHandlerMom2Sep attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.VAL_QUEUE">(BatchHandlerMom2SepSF attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.VAL_QUEUE">(BatchHandlerTesterCC attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.VAL_QUEUE">(BatchHandlerTesterDC attribute)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.VAL_QUEUE">(DualBatchHandler attribute)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC">ValBatchQueueDC (class in sup3r.preprocessing.batch_queues.dc)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.Batch">ValBatchQueueDC.Batch (class in sup3r.preprocessing.batch_queues.dc)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.accessor.Sup3rX.html#sup3r.preprocessing.accessor.Sup3rX.values">values (Sup3rX property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.ExoData.html#sup3r.preprocessing.data_handlers.exo.ExoData.values">values() (ExoData method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.html#sup3r.preprocessing.data_handlers.exo.SingleExoDataStep.values">(SingleExoDataStep method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.utilities.era_downloader.EraDownloader.html#sup3r.utilities.era_downloader.EraDownloader.variables">variables (EraDownloader property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.version">version (RexOutputs property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.abstract.AbstractInterface.html#sup3r.models.abstract.AbstractInterface.version_record">version_record (AbstractInterface property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.linear.LinearInterp.html#sup3r.models.linear.LinearInterp.version_record">(LinearInterp property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepGan.html#sup3r.models.multi_step.MultiStepGan.version_record">(MultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.MultiStepSurfaceMetGan.html#sup3r.models.multi_step.MultiStepSurfaceMetGan.version_record">(MultiStepSurfaceMetGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.version_record">(SolarCC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.multi_step.SolarMultiStepGan.html#sup3r.models.multi_step.SolarMultiStepGan.version_record">(SolarMultiStepGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.version_record">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.version_record">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.version_record">(Sup3rGanDC property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.version_record">(SurfaceSpatialMetModel property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper">VortexMeanPrepper (class in sup3r.bias.bias_calc_vortex)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.VSolar.html#sup3r.preprocessing.derivers.methods.VSolar">VSolar (class in sup3r.preprocessing.derivers.methods)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.VWind.html#sup3r.preprocessing.derivers.methods.VWind">VWind (class in sup3r.preprocessing.derivers.methods)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.VWindPowerLaw.html#sup3r.preprocessing.derivers.methods.VWindPowerLaw">VWindPowerLaw (class in sup3r.preprocessing.derivers.methods)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="W">W</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.W_DELTA_TEMP">W_DELTA_TEMP (SurfaceSpatialMetModel attribute)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.surface.SurfaceSpatialMetModel.html#sup3r.models.surface.SurfaceSpatialMetModel.W_DELTA_TOPO">W_DELTA_TOPO (SurfaceSpatialMetModel attribute)</a>
+</li>
+      <li><a href="_autosummary/sup3r.qa.utilities.wavenumber_spectrum.html#sup3r.qa.utilities.wavenumber_spectrum">wavenumber_spectrum() (in module sup3r.qa.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.samplers.utilities.weighted_box_sampler.html#sup3r.preprocessing.samplers.utilities.weighted_box_sampler">weighted_box_sampler() (in module sup3r.preprocessing.samplers.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.samplers.utilities.weighted_time_sampler.html#sup3r.preprocessing.samplers.utilities.weighted_time_sampler">weighted_time_sampler() (in module sup3r.preprocessing.samplers.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.models.solar_cc.SolarCC.html#sup3r.models.solar_cc.SolarCC.weights">weights (SolarCC property)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.models.conditional.Sup3rCondMom.html#sup3r.models.conditional.Sup3rCondMom.weights">(Sup3rCondMom property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.base.Sup3rGan.html#sup3r.models.base.Sup3rGan.weights">(Sup3rGan property)</a>
+</li>
+        <li><a href="_autosummary/sup3r.models.dc.Sup3rGanDC.html#sup3r.models.dc.Sup3rGanDC.weights">(Sup3rGanDC property)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.Winddirection.html#sup3r.preprocessing.derivers.methods.Winddirection">Winddirection (class in sup3r.preprocessing.derivers.methods)</a>
+</li>
+      <li><a href="_autosummary/sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat.window_mask">window_mask() (PresRat static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.html#sup3r.bias.qdm.QuantileDeltaMappingCorrection.window_mask">(QuantileDeltaMappingCorrection static method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.methods.Windspeed.html#sup3r.preprocessing.derivers.methods.Windspeed">Windspeed (class in sup3r.preprocessing.derivers.methods)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.derivers.utilities.windspeed_log_law.html#sup3r.preprocessing.derivers.utilities.windspeed_log_law">windspeed_log_law() (in module sup3r.preprocessing.derivers.utilities)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.html#sup3r.preprocessing.batch_queues.abstract.AbstractBatchQueue.wrap">wrap() (AbstractBatchQueue method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.base.BaseDeriver.html#sup3r.preprocessing.derivers.base.BaseDeriver.wrap">(BaseDeriver method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.base.BaseLoader.html#sup3r.preprocessing.loaders.base.BaseLoader.wrap">(BaseLoader method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.base.BaseRasterizer.html#sup3r.preprocessing.rasterizers.base.BaseRasterizer.wrap">(BaseRasterizer method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandler.html#sup3r.preprocessing.batch_handlers.factory.BatchHandler.wrap">(BatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerCC.wrap">(BatchHandlerCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.html#sup3r.preprocessing.batch_handlers.dc.BatchHandlerDC.wrap">(BatchHandlerDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1.wrap">(BatchHandlerMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom1SF.wrap">(BatchHandlerMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2.wrap">(BatchHandlerMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2Sep.wrap">(BatchHandlerMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.html#sup3r.preprocessing.batch_handlers.factory.BatchHandlerMom2SepSF.wrap">(BatchHandlerMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterCC.wrap">(BatchHandlerTesterCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.html#sup3r.utilities.pytest.helpers.BatchHandlerTesterDC.wrap">(BatchHandlerTesterDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.BatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.BatchQueueDC.wrap">(BatchQueueDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.cachers.base.Cacher.html#sup3r.preprocessing.cachers.base.Cacher.wrap">(Cacher method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.collections.base.Collection.html#sup3r.preprocessing.collections.base.Collection.wrap">(Collection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.html#sup3r.preprocessing.batch_queues.conditional.ConditionalBatchQueue.wrap">(ConditionalBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.base.Container.html#sup3r.preprocessing.base.Container.wrap">(Container method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DailyDataHandler.html#sup3r.preprocessing.data_handlers.factory.DailyDataHandler.wrap">(DailyDataHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandler.html#sup3r.preprocessing.data_handlers.factory.DataHandler.wrap">(DataHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5SolarCC.wrap">(DataHandlerH5SolarCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.html#sup3r.preprocessing.data_handlers.factory.DataHandlerH5WindCC.wrap">(DataHandlerH5WindCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCC.wrap">(DataHandlerNCforCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.html#sup3r.preprocessing.data_handlers.nc_cc.DataHandlerNCforCCwithPowerLaw.wrap">(DataHandlerNCforCCwithPowerLaw method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.derivers.base.Deriver.html#sup3r.preprocessing.derivers.base.Deriver.wrap">(Deriver method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.html#sup3r.preprocessing.batch_handlers.factory.DualBatchHandler.wrap">(DualBatchHandler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dual.DualBatchQueue.html#sup3r.preprocessing.batch_queues.dual.DualBatchQueue.wrap">(DualBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.dual.DualRasterizer.html#sup3r.preprocessing.rasterizers.dual.DualRasterizer.wrap">(DualRasterizer method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dual.DualSampler.html#sup3r.preprocessing.samplers.dual.DualSampler.wrap">(DualSampler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.cc.DualSamplerCC.html#sup3r.preprocessing.samplers.cc.DualSamplerCC.wrap">(DualSamplerCC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.DummyData.html#sup3r.utilities.pytest.helpers.DummyData.wrap">(DummyData method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.DummySampler.html#sup3r.utilities.pytest.helpers.DummySampler.wrap">(DummySampler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.h5.LoaderH5.html#sup3r.preprocessing.loaders.h5.LoaderH5.wrap">(LoaderH5 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.loaders.nc.LoaderNC.html#sup3r.preprocessing.loaders.nc.LoaderNC.wrap">(LoaderNC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1.wrap">(QueueMom1 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom1SF.wrap">(QueueMom1SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2.wrap">(QueueMom2 method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2Sep.wrap">(QueueMom2Sep method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SepSF.wrap">(QueueMom2SepSF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.html#sup3r.preprocessing.batch_queues.conditional.QueueMom2SF.wrap">(QueueMom2SF method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.rasterizers.extended.Rasterizer.html#sup3r.preprocessing.rasterizers.extended.Rasterizer.wrap">(Rasterizer method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.base.Sampler.html#sup3r.preprocessing.samplers.base.Sampler.wrap">(Sampler method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.samplers.dc.SamplerDC.html#sup3r.preprocessing.samplers.dc.SamplerDC.wrap">(SamplerDC method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.utilities.pytest.helpers.SamplerTester.html#sup3r.utilities.pytest.helpers.SamplerTester.wrap">(SamplerTester method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.base.SingleBatchQueue.html#sup3r.preprocessing.batch_queues.base.SingleBatchQueue.wrap">(SingleBatchQueue method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.collections.stats.StatsCollection.html#sup3r.preprocessing.collections.stats.StatsCollection.wrap">(StatsCollection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.html#sup3r.preprocessing.batch_queues.dc.ValBatchQueueDC.wrap">(ValBatchQueueDC method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.writable">writable (RexOutputs property)</a>
+</li>
+      <li><a href="_autosummary/sup3r.solar.solar.Solar.html#sup3r.solar.solar.Solar.write">write() (Solar method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.cachers.base.Cacher.html#sup3r.preprocessing.cachers.base.Cacher.write_chunk">write_chunk() (Cacher static method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.collectors.base.BaseCollector.html#sup3r.postprocessing.collectors.base.BaseCollector.write_data">write_data() (BaseCollector class method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.collectors.h5.CollectorH5.html#sup3r.postprocessing.collectors.h5.CollectorH5.write_data">(CollectorH5 class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.collectors.nc.CollectorNC.html#sup3r.postprocessing.collectors.nc.CollectorNC.write_data">(CollectorNC class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler.write_data">(OutputHandler class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.h5.OutputHandlerH5.html#sup3r.postprocessing.writers.h5.OutputHandlerH5.write_data">(OutputHandlerH5 class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.nc.OutputHandlerNC.html#sup3r.postprocessing.writers.nc.OutputHandlerNC.write_data">(OutputHandlerNC class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.base.OutputMixin.html#sup3r.postprocessing.writers.base.OutputMixin.write_data">(OutputMixin class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc_vortex.VortexMeanPrepper.html#sup3r.bias.bias_calc_vortex.VortexMeanPrepper.write_data">(VortexMeanPrepper method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.write_dataset">write_dataset() (RexOutputs method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.cachers.base.Cacher.html#sup3r.preprocessing.cachers.base.Cacher.write_h5">write_h5() (Cacher class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.write_means">write_means() (RexOutputs class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.cachers.base.Cacher.html#sup3r.preprocessing.cachers.base.Cacher.write_netcdf">write_netcdf() (Cacher class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.cachers.base.Cacher.html#sup3r.preprocessing.cachers.base.Cacher.write_netcdf_chunks">write_netcdf_chunks() (Cacher class method)</a>
+</li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.OutputHandler.html#sup3r.postprocessing.writers.base.OutputHandler.write_output">write_output() (OutputHandler class method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.h5.OutputHandlerH5.html#sup3r.postprocessing.writers.h5.OutputHandlerH5.write_output">(OutputHandlerH5 class method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.postprocessing.writers.nc.OutputHandlerNC.html#sup3r.postprocessing.writers.nc.OutputHandlerNC.write_output">(OutputHandlerNC class method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.bias.bias_calc.LinearCorrection.html#sup3r.bias.bias_calc.LinearCorrection.write_outputs">write_outputs() (LinearCorrection method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyLinearCorrection.html#sup3r.bias.bias_calc.MonthlyLinearCorrection.write_outputs">(MonthlyLinearCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.MonthlyScalarCorrection.html#sup3r.bias.bias_calc.MonthlyScalarCorrection.write_outputs">(MonthlyScalarCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat.write_outputs">(PresRat method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.qdm.QuantileDeltaMappingCorrection.html#sup3r.bias.qdm.QuantileDeltaMappingCorrection.write_outputs">(QuantileDeltaMappingCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.ScalarCorrection.html#sup3r.bias.bias_calc.ScalarCorrection.write_outputs">(ScalarCorrection method)</a>
+</li>
+        <li><a href="_autosummary/sup3r.bias.bias_calc.SkillAssessment.html#sup3r.bias.bias_calc.SkillAssessment.write_outputs">(SkillAssessment method)</a>
+</li>
+      </ul></li>
+      <li><a href="_autosummary/sup3r.postprocessing.writers.base.RexOutputs.html#sup3r.postprocessing.writers.base.RexOutputs.write_profiles">write_profiles() (RexOutputs class method)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="X">X</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.utilities.utilities.xr_open_mfdataset.html#sup3r.utilities.utilities.xr_open_mfdataset">xr_open_mfdataset() (in module sup3r.utilities.utilities)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="Z">Z</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.bias.presrat.PresRat.html#sup3r.bias.presrat.PresRat.zero_precipitation_rate">zero_precipitation_rate() (PresRat static method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.bias.mixins.ZeroRateMixin.html#sup3r.bias.mixins.ZeroRateMixin.zero_precipitation_rate">(ZeroRateMixin static method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="_autosummary/sup3r.bias.mixins.ZeroRateMixin.html#sup3r.bias.mixins.ZeroRateMixin">ZeroRateMixin (class in sup3r.bias.mixins)</a>
+</li>
+      <li><a href="_autosummary/sup3r.preprocessing.names.Dimension.html#sup3r.preprocessing.names.Dimension.zfill">zfill() (Dimension method)</a>
+
+      <ul>
+        <li><a href="_autosummary/sup3r.utilities.ModuleName.html#sup3r.utilities.ModuleName.zfill">(ModuleName method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+
+
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+<div id="jb-print-docs-body" class="onlyprint">
+    <h1>Welcome to Sup3r!</h1>
+    <!-- Table of contents -->
+    <div id="print-main-content">
+        <div id="jb-print-toc">
+            
+            <div>
+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#installing-sup3r">Installing sup3r</a><ul class="nav section-nav flex-column">
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#option-1-install-from-pip-recommended-for-analysts">Option 1: Install from PIP (recommended for analysts):</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#option-2-clone-repo-recommended-for-developers">Option 2: Clone repo (recommended for developers)</a></li>
+</ul>
+</li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#recommended-citation">Recommended Citation</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#acknowledgments">Acknowledgments</a></li>
+</ul>
+            </nav>
+        </div>
+    </div>
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+              
+                
+<div id="searchbox"></div>
+                <article class="bd-article">
+                  
+  <div class="toctree-wrapper compound">
+</div>
+<section id="welcome-to-sup3r">
+<h1>Welcome to Sup3r!<a class="headerlink" href="#welcome-to-sup3r" title="Link to this heading">#</a></h1>
+<p>The Super Resolution for Renewable Resource Data (sup3r) software uses
+generative adversarial networks to create synthetic high-resolution wind and
+solar spatiotemporal data from coarse low-resolution inputs. To get started,
+check out the sup3r command line interface <a class="reference external" href="https://nrel.github.io/sup3r/_cli/sup3r.html#sup3r">(CLI)</a>.</p>
+<section id="installing-sup3r">
+<h2>Installing sup3r<a class="headerlink" href="#installing-sup3r" title="Link to this heading">#</a></h2>
+<p>NOTE: The installation instruction below assume that you have python installed
+on your machine and are using <a class="reference external" href="https://docs.conda.io/en/latest/index.html">conda</a>
+as your package/environment manager.</p>
+<section id="option-1-install-from-pip-recommended-for-analysts">
+<h3>Option 1: Install from PIP (recommended for analysts):<a class="headerlink" href="#option-1-install-from-pip-recommended-for-analysts" title="Link to this heading">#</a></h3>
+<ol class="arabic">
+<li><p>Create a new environment: <code class="docutils literal notranslate"><span class="pre">conda</span> <span class="pre">create</span> <span class="pre">--name</span> <span class="pre">sup3r</span> <span class="pre">python=3.11</span></code></p></li>
+<li><p>Activate environment: <code class="docutils literal notranslate"><span class="pre">conda</span> <span class="pre">activate</span> <span class="pre">sup3r</span></code></p></li>
+<li><p>Install sup3r: <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">NREL-sup3r</span></code></p></li>
+<li><p>Run this if you want to train models on GPUs: <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">tensorflow[and-cuda]</span></code></p>
+<p>4.1 For OSX use instead: <code class="docutils literal notranslate"><span class="pre">python</span> <span class="pre">-m</span> <span class="pre">pip</span> <span class="pre">install</span> <span class="pre">tensorflow-metal</span></code></p>
+</li>
+</ol>
+</section>
+<section id="option-2-clone-repo-recommended-for-developers">
+<h3>Option 2: Clone repo (recommended for developers)<a class="headerlink" href="#option-2-clone-repo-recommended-for-developers" title="Link to this heading">#</a></h3>
+<ol class="arabic simple">
+<li><p>from home dir, <code class="docutils literal notranslate"><span class="pre">git</span> <span class="pre">clone</span> <span class="pre">git&#64;github.com:NREL/sup3r.git</span></code></p></li>
+<li><dl class="simple">
+<dt>Create <code class="docutils literal notranslate"><span class="pre">sup3r</span></code> environment and install package</dt><dd><ol class="arabic simple">
+<li><p>Create a conda env: <code class="docutils literal notranslate"><span class="pre">conda</span> <span class="pre">create</span> <span class="pre">-n</span> <span class="pre">sup3r</span></code></p></li>
+<li><p>Run the command: <code class="docutils literal notranslate"><span class="pre">conda</span> <span class="pre">activate</span> <span class="pre">sup3r</span></code></p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">cd</span></code> into the repo cloned in 1.</p></li>
+<li><p>Prior to running <code class="docutils literal notranslate"><span class="pre">pip</span></code> below, make sure the branch is correct (install
+from main!)</p></li>
+<li><p>Install <code class="docutils literal notranslate"><span class="pre">sup3r</span></code> and its dependencies by running:
+<code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">.</span></code> (or <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">-e</span> <span class="pre">.</span></code> if running a dev branch
+or working on the source code)</p></li>
+<li><p>Run this if you want to train models on GPUs: <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">tensorflow[and-cuda]</span></code></p></li>
+<li><p><em>Optional</em>: Set up the pre-commit hooks with <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">pre-commit</span></code> and <code class="docutils literal notranslate"><span class="pre">pre-commit</span> <span class="pre">install</span></code></p></li>
+</ol>
+</dd>
+</dl>
+</li>
+</ol>
+</section>
+</section>
+<section id="recommended-citation">
+<h2>Recommended Citation<a class="headerlink" href="#recommended-citation" title="Link to this heading">#</a></h2>
+<p>Update with current version and DOI:</p>
+<p>Brandon Benton, Grant Buster, Guilherme Pimenta Castelao, Malik Hassanaly, Pavlo Pinchuk, Slater Podgorny, Andrew Glaws, and Ryan King. Super Resolution for Renewable Resource Data (sup3r). <a class="github reference external" href="https://github.com/NREL/sup3r">NREL/sup3r</a> (version v0.2.0), 2024. DOI: 10.5281/zenodo.14042894</p>
+</section>
+<section id="acknowledgments">
+<h2>Acknowledgments<a class="headerlink" href="#acknowledgments" title="Link to this heading">#</a></h2>
+<p>This work was authored by the National Renewable Energy Laboratory, operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. This research was supported by the Grid Modernization Initiative of the U.S. Department of Energy (DOE) as part of its Grid Modernization Laboratory Consortium, a strategic partnership between DOE and the national laboratories to bring together leading experts, technologies, and resources to collaborate on the goal of modernizing the nation’s grid. Funding provided by the the DOE Office of Energy Efficiency and Renewable Energy (EERE), the DOE Office of Electricity (OE), DOE Grid Deployment Office (GDO), the DOE Office of Fossil Energy and Carbon Management (FECM), and the DOE Office of Cybersecurity, Energy Security, and Emergency Response (CESER), the DOE Advanced Scientific Computing Research (ASCR) program, the DOE Solar Energy Technologies Office (SETO), the DOE Wind Energy Technologies Office (WETO), the United States Agency for International Development (USAID), and the Laboratory Directed Research and Development (LDRD) program at the National Renewable Energy Laboratory. The research was performed using computational resources sponsored by the Department of Energy’s Office of Energy Efficiency and Renewable Energy and located at the National Renewable Energy Laboratory. The views expressed in the article do not necessarily represent the views of the DOE or the U.S. Government. The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for U.S. Government purposes.</p>
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+                <h2> Contents </h2>
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+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#option-1-install-from-pip-recommended-for-analysts">Option 1: Install from PIP (recommended for analysts):</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#option-2-clone-repo-recommended-for-developers">Option 2: Clone repo (recommended for developers)</a></li>
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+  <section id="installation">
+<h1>Installation<a class="headerlink" href="#installation" title="Link to this heading">#</a></h1>
+<hr class="docutils" />
+<p>NOTE: The installation instruction below assume that you have python installed
+on your machine and are using <a class="reference external" href="https://docs.conda.io/en/latest/index.html">conda</a>
+as your package/environment manager.</p>
+<section id="option-1-install-from-pip-recommended-for-analysts">
+<h2>Option 1: Install from PIP (recommended for analysts):<a class="headerlink" href="#option-1-install-from-pip-recommended-for-analysts" title="Link to this heading">#</a></h2>
+<ol class="arabic">
+<li><p>Create a new environment: <code class="docutils literal notranslate"><span class="pre">conda</span> <span class="pre">create</span> <span class="pre">--name</span> <span class="pre">sup3r</span> <span class="pre">python=3.11</span></code></p></li>
+<li><p>Activate environment: <code class="docutils literal notranslate"><span class="pre">conda</span> <span class="pre">activate</span> <span class="pre">sup3r</span></code></p></li>
+<li><p>Install sup3r: <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">NREL-sup3r</span></code></p></li>
+<li><p>Run this if you want to train models on GPUs: <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">tensorflow[and-cuda]</span></code></p>
+<p>4.1 For OSX use instead: <code class="docutils literal notranslate"><span class="pre">python</span> <span class="pre">-m</span> <span class="pre">pip</span> <span class="pre">install</span> <span class="pre">tensorflow-metal</span></code></p>
+</li>
+</ol>
+</section>
+<section id="option-2-clone-repo-recommended-for-developers">
+<h2>Option 2: Clone repo (recommended for developers)<a class="headerlink" href="#option-2-clone-repo-recommended-for-developers" title="Link to this heading">#</a></h2>
+<ol class="arabic simple">
+<li><p>from home dir, <code class="docutils literal notranslate"><span class="pre">git</span> <span class="pre">clone</span> <span class="pre">git&#64;github.com:NREL/sup3r.git</span></code></p></li>
+<li><dl class="simple">
+<dt>Create <code class="docutils literal notranslate"><span class="pre">sup3r</span></code> environment and install package</dt><dd><ol class="arabic simple">
+<li><p>Create a conda env: <code class="docutils literal notranslate"><span class="pre">conda</span> <span class="pre">create</span> <span class="pre">-n</span> <span class="pre">sup3r</span></code></p></li>
+<li><p>Run the command: <code class="docutils literal notranslate"><span class="pre">conda</span> <span class="pre">activate</span> <span class="pre">sup3r</span></code></p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">cd</span></code> into the repo cloned in 1.</p></li>
+<li><p>Prior to running <code class="docutils literal notranslate"><span class="pre">pip</span></code> below, make sure the branch is correct (install
+from main!)</p></li>
+<li><p>Install <code class="docutils literal notranslate"><span class="pre">sup3r</span></code> and its dependencies by running:
+<code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">.</span></code> (or <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">-e</span> <span class="pre">.</span></code> if running a dev branch
+or working on the source code)</p></li>
+<li><p>Run this if you want to train models on GPUs: <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">tensorflow[and-cuda]</span></code></p></li>
+<li><p><em>Optional</em>: Set up the pre-commit hooks with <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">pre-commit</span></code> and <code class="docutils literal notranslate"><span class="pre">pre-commit</span> <span class="pre">install</span></code></p></li>
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+</details></li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="../_autosummary/sup3r.bias.html">sup3r.bias</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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+     <tr>
+       <td><img src="_static/minus.png" class="toggler"
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+       <td>
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+       <em></em></td></tr>
+     <tr class="cg-1">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.batch.html#module-sup3r.batch"><code class="xref">sup3r.batch</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.batch.batch_cli.html#module-sup3r.batch.batch_cli"><code class="xref">sup3r.batch.batch_cli</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.bias.html#module-sup3r.bias"><code class="xref">sup3r.bias</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.bias.base.html#module-sup3r.bias.base"><code class="xref">sup3r.bias.base</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.bias.bias_calc.html#module-sup3r.bias.bias_calc"><code class="xref">sup3r.bias.bias_calc</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.bias.bias_calc_cli.html#module-sup3r.bias.bias_calc_cli"><code class="xref">sup3r.bias.bias_calc_cli</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.bias.bias_calc_vortex.html#module-sup3r.bias.bias_calc_vortex"><code class="xref">sup3r.bias.bias_calc_vortex</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
+       <td></td>
+       <td>&#160;&#160;&#160;
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+       <em></em></td></tr>
+     <tr class="cg-1">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.bias.mixins.html#module-sup3r.bias.mixins"><code class="xref">sup3r.bias.mixins</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.bias.presrat.html#module-sup3r.bias.presrat"><code class="xref">sup3r.bias.presrat</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.bias.qdm.html#module-sup3r.bias.qdm"><code class="xref">sup3r.bias.qdm</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.bias.utilities.html#module-sup3r.bias.utilities"><code class="xref">sup3r.bias.utilities</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
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+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.cli.html#module-sup3r.cli"><code class="xref">sup3r.cli</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.models.html#module-sup3r.models"><code class="xref">sup3r.models</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.models.abstract.html#module-sup3r.models.abstract"><code class="xref">sup3r.models.abstract</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
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+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.models.base.html#module-sup3r.models.base"><code class="xref">sup3r.models.base</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.models.conditional.html#module-sup3r.models.conditional"><code class="xref">sup3r.models.conditional</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.models.dc.html#module-sup3r.models.dc"><code class="xref">sup3r.models.dc</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.models.linear.html#module-sup3r.models.linear"><code class="xref">sup3r.models.linear</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.models.multi_step.html#module-sup3r.models.multi_step"><code class="xref">sup3r.models.multi_step</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
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+       <td>&#160;&#160;&#160;
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+     <tr class="cg-1">
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+       <td>&#160;&#160;&#160;
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+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.models.utilities.html#module-sup3r.models.utilities"><code class="xref">sup3r.models.utilities</code></a></td><td>
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+       <td>&#160;&#160;&#160;
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+       <td>&#160;&#160;&#160;
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+       <td>&#160;&#160;&#160;
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+       <em></em></td></tr>
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+       <td>&#160;&#160;&#160;
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+       <em></em></td></tr>
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+       <td>&#160;&#160;&#160;
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+       <em></em></td></tr>
+     <tr class="cg-1">
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+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.pipeline.strategy.html#module-sup3r.pipeline.strategy"><code class="xref">sup3r.pipeline.strategy</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
+       <td></td>
+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.pipeline.utilities.html#module-sup3r.pipeline.utilities"><code class="xref">sup3r.pipeline.utilities</code></a></td><td>
+       <em></em></td></tr>
+     <tr class="cg-1">
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+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.postprocessing.html#module-sup3r.postprocessing"><code class="xref">sup3r.postprocessing</code></a></td><td>
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+     <tr class="cg-1">
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+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.postprocessing.collectors.html#module-sup3r.postprocessing.collectors"><code class="xref">sup3r.postprocessing.collectors</code></a></td><td>
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+     <tr class="cg-1">
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+       <td>&#160;&#160;&#160;
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+       <td>&#160;&#160;&#160;
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+       <td>&#160;&#160;&#160;
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+     <tr class="cg-1">
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+       <td>&#160;&#160;&#160;
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+     <tr class="cg-1">
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+       <td>&#160;&#160;&#160;
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+     <tr class="cg-1">
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+       <td>&#160;&#160;&#160;
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+       <td>&#160;&#160;&#160;
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+     <tr class="cg-1">
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+     <tr class="cg-1">
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+     <tr class="cg-1">
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+       <td>&#160;&#160;&#160;
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+       <td>&#160;&#160;&#160;
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+     <tr class="cg-1">
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+       <td>&#160;&#160;&#160;
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+     <tr class="cg-1">
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+       <td>&#160;&#160;&#160;
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+       <td></td>
+       <td>&#160;&#160;&#160;
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+       <td>&#160;&#160;&#160;
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+     <tr class="cg-1">
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+       <td>&#160;&#160;&#160;
+       <a href="_autosummary/sup3r.preprocessing.data_handlers.exo.html#module-sup3r.preprocessing.data_handlers.exo"><code class="xref">sup3r.preprocessing.data_handlers.exo</code></a></td><td>
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+       <td>&#160;&#160;&#160;
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+       <td>&#160;&#160;&#160;
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+       <td>&#160;&#160;&#160;
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+       <td>&#160;&#160;&#160;
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+       <td>&#160;&#160;&#160;
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+       <td>&#160;&#160;&#160;
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diff --git a/searchindex.js b/searchindex.js
new file mode 100644
index 000000000..9453f241a
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